{"meta":{"query_hash":"a10d3b2233e0","filters":{"topic":"Economic Growth and Productivity"},"cohort_total":1622,"direct_labels_cover":0,"predictions_cover":1622,"exported":1622,"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/a10d3b2233e0","api":"https://metacan.xera.ac/api/v1/cohort?topic=Economic+Growth+and+Productivity"},"results":[{"id":"W1001904992","doi":"","title":"Convergence tendencies in the EU Member States - a statistical study for the period 1980-2013","year":2014,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convergence (economics); European union; Convergence clubs; Club; Economics; Econometrics; Accession; International economics; Macroeconomics","score_opus":0.03914056823552909,"score_gpt":0.24903359976695516,"score_spread":0.20989303153142608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1001904992","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":[0.9880548,0.0019309708,0.0004020223,0.00010010085,0.000021242775,0.000025507963,0.0062394347,0.000041100193,0.0031849414],"genre_scores_gemma":[0.9862748,0.000986111,0.00030137118,0.000029113933,0.000034268272,0.000040891075,0.011137265,0.000023981425,0.0011722463],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871266,0.00030248228,0.0002570267,0.00026474317,0.0002907396,0.00017235712],"domain_scores_gemma":[0.9947424,0.0017416188,0.0020641822,0.00029389706,0.0009026107,0.00025523265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002463934,0.00023193927,0.0005257322,0.005330443,0.00036095205,0.0013093556,0.00041188244,0.00043885683,0.0017550087],"category_scores_gemma":[0.005951932,0.00014065839,0.0007410043,0.0063968347,0.00044387317,0.0006953315,0.0009957568,0.0004370585,0.0006895659],"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":[0.00022560066,0.000047590955,0.9753249,0.00014459828,0.00024172392,0.00030586388,0.000826358,0.0013515563,0.00012122818,0.00096339616,0.003239892,0.01720724],"study_design_scores_gemma":[0.0000036318295,0.000055286884,0.99245924,0.00006343625,0.000042501528,0.00022730313,0.0015012269,0.000762867,0.00014007319,0.00014466094,0.0045895306,0.000010189088],"about_ca_topic_score_codex":0.005562875,"about_ca_topic_score_gemma":0.0034748195,"teacher_disagreement_score":0.005562875,"about_ca_system_score_codex":0.00056140433,"about_ca_system_score_gemma":0.00039335896,"threshold_uncertainty_score":0.013030708},"labels":[],"label_agreement":null},{"id":"W1016828332","doi":"10.1007/978-1-4615-1017-8_5","title":"Convergence in Government Spending","year":2002,"lang":"en","type":"book-chapter","venue":"","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":"University of Calgary","funders":"","keywords":"Economics; Per capita income; Per capita; Lagging; Convergence (economics); Labour economics; Human capital; Government spending; Demographic economics; Macroeconomics; Economic growth; Market economy; Population","score_opus":0.05305161613070775,"score_gpt":0.19056677924372992,"score_spread":0.13751516311302217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1016828332","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":[0.070824414,0.0076579973,0.019821769,0.012520977,0.0005696115,0.000031023115,0.00046832982,0.00025078148,0.8878551],"genre_scores_gemma":[0.81050205,0.006919697,0.006948168,0.0014497752,0.0010200924,0.000098625795,0.00050552946,0.00027341503,0.17228258],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990984,0.00028901154,0.00003957814,0.00021129256,0.00021962193,0.00014213705],"domain_scores_gemma":[0.9983908,0.0005064998,0.00016224345,0.00030079688,0.00049185735,0.00014778438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001668849,0.0004042554,0.0006693664,0.002464437,0.001095343,0.0035036637,0.0004535842,0.001167301,0.016611682],"category_scores_gemma":[0.008004841,0.00026107652,0.00040496068,0.003241155,0.002243915,0.004737401,0.001980516,0.0027041258,0.0031622523],"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":[0.000041075775,0.000025140173,0.001209295,0.000022757351,0.000009906297,0.00004302907,0.00050621375,0.0013917938,0.000076451994,0.9424084,0.013960425,0.04030543],"study_design_scores_gemma":[0.000012765191,0.000015727785,0.0046343575,0.00012518869,0.000010872148,0.00014916998,0.0004286805,0.0036813624,0.00033219045,0.93236464,0.058234937,0.000009965699],"about_ca_topic_score_codex":0.0029324077,"about_ca_topic_score_gemma":0.0021084824,"teacher_disagreement_score":0.016611682,"about_ca_system_score_codex":0.0029422757,"about_ca_system_score_gemma":0.0011993988,"threshold_uncertainty_score":0.055571675},"labels":[],"label_agreement":null},{"id":"W110322940","doi":"10.2139/ssrn.2341381","title":"Direction of Innovation","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","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":"University of Toronto","funders":"","keywords":"Business; Computer science","score_opus":0.014550330523016694,"score_gpt":0.19582427893141532,"score_spread":0.18127394840839864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W110322940","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":[0.009522856,0.0052073444,0.0075521106,0.015971063,0.005033679,0.00007934983,0.00070594647,0.00018866398,0.95573896],"genre_scores_gemma":[0.4204301,0.02178377,0.017187208,0.0048130234,0.006273595,0.0002850943,0.0012462543,0.00022752919,0.5277535],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99902296,0.0001345711,0.000050084484,0.00018048401,0.00048356946,0.00012832417],"domain_scores_gemma":[0.9974279,0.00038353069,0.0002330898,0.00027716867,0.0011904683,0.0004878897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014024723,0.00041656394,0.00030450063,0.0028945946,0.0009864015,0.007412196,0.0006802194,0.002029675,0.053832356],"category_scores_gemma":[0.0035980805,0.0001628713,0.00043405188,0.0013917643,0.0011444215,0.004026459,0.0012601033,0.0014556187,0.016551679],"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":[0.00006808779,0.000034587247,0.0012156573,0.00018317325,0.000012707506,0.00006803489,0.00019095128,0.00013710436,0.0011371356,0.8313566,0.04390118,0.121694826],"study_design_scores_gemma":[0.000048862195,0.00014545466,0.0026350482,0.0002724943,0.000031759082,0.00036598276,0.0004343899,0.00075335876,0.001608823,0.39791498,0.59576756,0.00002137593],"about_ca_topic_score_codex":0.0005364275,"about_ca_topic_score_gemma":0.00065958383,"teacher_disagreement_score":0.053832356,"about_ca_system_score_codex":0.0012992771,"about_ca_system_score_gemma":0.0028737548,"threshold_uncertainty_score":0.18008715},"labels":[],"label_agreement":null},{"id":"W1157432621","doi":"10.3233/jem-2005-0240","title":"Rymes' measure of productivity growth: The static and the dynamic view","year":2005,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Measure (data warehouse); Productivity; Economics; Econometrics; Mathematical economics; Computer science; Macroeconomics; Data mining","score_opus":0.04488716098642031,"score_gpt":0.2243584330634572,"score_spread":0.1794712720770369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1157432621","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":[0.13931373,0.016625483,0.5232406,0.013215901,0.0016003839,0.00014164687,0.0030942345,0.0006687509,0.3020993],"genre_scores_gemma":[0.9329262,0.007389546,0.035792686,0.0007030764,0.0018627176,0.0001881014,0.00093909196,0.0001403903,0.020058196],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985612,0.00034012468,0.000098953424,0.0003471742,0.0004938187,0.00015887702],"domain_scores_gemma":[0.9978721,0.0006568574,0.0005665233,0.00034972775,0.000348454,0.00020645393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018158366,0.0010958284,0.0009866449,0.0051021995,0.0007278434,0.004258704,0.0011401175,0.0009687348,0.004591775],"category_scores_gemma":[0.005201661,0.00024818134,0.0006201486,0.0043896036,0.0030168334,0.007808164,0.0029650256,0.0021958642,0.0010563567],"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":[0.000031015352,0.000019973197,0.0027994502,0.000075211465,0.000030060137,0.00009734571,0.00035267047,0.0029933993,0.0007349866,0.95577043,0.004075869,0.03301973],"study_design_scores_gemma":[0.00001422967,0.00013049484,0.013909556,0.00008513882,0.000050758776,0.00070745876,0.00059835665,0.018938584,0.0015511275,0.8978331,0.06607048,0.00011073928],"about_ca_topic_score_codex":0.0010663109,"about_ca_topic_score_gemma":0.00054820144,"teacher_disagreement_score":0.0051021995,"about_ca_system_score_codex":0.0012781644,"about_ca_system_score_gemma":0.0007274516,"threshold_uncertainty_score":0.015360951},"labels":[],"label_agreement":null},{"id":"W118202459","doi":"","title":"Spillover Effect, International Exposure to Risk and Sustaining Growth: Canada - USA","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Spillover effect; Economics; Foreign capital; Exchange rate; Capital (architecture); International economics; Business cycle; Monetary economics; Foreign exchange; Open economy; Short run; International trade; Foreign direct investment; Macroeconomics; Geography","score_opus":0.009491706290514027,"score_gpt":0.1766516705925484,"score_spread":0.1671599643020344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W118202459","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":[0.9859941,0.0007054357,0.0007258129,0.0007268901,0.000014253087,0.000027063033,0.0006125475,0.000020515581,0.011173458],"genre_scores_gemma":[0.9980599,0.0003881972,0.00012043721,0.000056456505,0.0000044711633,0.0000037490881,0.00028413426,0.0000021921817,0.0010804615],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996402,0.000048830432,0.000010314109,0.000053314947,0.000085925625,0.00016130533],"domain_scores_gemma":[0.99890816,0.00033387906,0.00023765695,0.000043057044,0.00023838719,0.00023877833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057332177,0.00032927952,0.00036357951,0.0007385661,0.0008375272,0.0014122461,0.00038234494,0.0004170197,0.0022687595],"category_scores_gemma":[0.001965793,0.00007826127,0.00037947643,0.0015935124,0.00072243664,0.00060522946,0.0011202593,0.0006875962,0.00007878407],"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":[0.0011369319,0.00048215367,0.861327,0.00016372974,0.00048776733,0.0016930053,0.0011012866,0.05038244,0.0023370702,0.028409408,0.005254942,0.047224306],"study_design_scores_gemma":[0.00016549708,0.0005173644,0.9126693,0.00008900015,0.0008656179,0.00044921006,0.004662138,0.056981582,0.0035199,0.00759276,0.01238876,0.0000988741],"about_ca_topic_score_codex":0.89685947,"about_ca_topic_score_gemma":0.8704591,"teacher_disagreement_score":0.10314053,"about_ca_system_score_codex":0.006151706,"about_ca_system_score_gemma":0.00964266,"threshold_uncertainty_score":0.20749587},"labels":[],"label_agreement":null},{"id":"W1187789559","doi":"10.3233/jem-2003-0206","title":"Forms and rates of economic and physical depreciation by type of assets in Canadian industries","year":2003,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Depreciation (economics); Economics; Business; Economic growth; Human capital","score_opus":0.07261643035830379,"score_gpt":0.2521263504200646,"score_spread":0.1795099200617608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1187789559","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":[0.91913545,0.0017427916,0.016431905,0.00026752532,0.000018283414,0.00035571223,0.020560231,0.00013287654,0.041355174],"genre_scores_gemma":[0.97005916,0.0014331574,0.014688342,0.000030102137,0.000008631385,0.00012708767,0.0071701515,0.00004166239,0.0064415797],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99688333,0.00026187886,0.0002781154,0.0002772965,0.0017693582,0.00053004915],"domain_scores_gemma":[0.9902367,0.0015705561,0.0022624186,0.0008812567,0.0047012037,0.0003478123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023658392,0.00042342092,0.00042070757,0.0132504385,0.001208476,0.002270151,0.0011862026,0.00029260328,0.002278797],"category_scores_gemma":[0.022962967,0.00039337622,0.0010292468,0.014361883,0.0007735559,0.001303204,0.0012855572,0.00056824356,0.00024877337],"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":[0.00014837833,0.00002763795,0.8558938,0.00021980087,0.00020416659,0.00019666422,0.0034712008,0.012144509,0.0013265546,0.020643163,0.0024061694,0.10331798],"study_design_scores_gemma":[0.0000034686743,0.000015291249,0.98403025,0.000050876664,0.000034155604,0.00014594622,0.0013575678,0.0037513797,0.00071477215,0.0018624052,0.007987754,0.000046093384],"about_ca_topic_score_codex":0.92465156,"about_ca_topic_score_gemma":0.9427838,"teacher_disagreement_score":0.07534844,"about_ca_system_score_codex":0.020157797,"about_ca_system_score_gemma":0.008363253,"threshold_uncertainty_score":0.15158433},"labels":[],"label_agreement":null},{"id":"W121269250","doi":"","title":"THE IMPACT OF INFORMATION TECHNOLOGY ON LABOR PRODUCTIVITY GROWTH: EVIDENCE FROM FIVE OECD COUNTRIES, 1970-1990","year":2007,"lang":"en","type":"article","venue":"Korean Economic Review/The Korean economic review","topic":"Economic Growth and Productivity","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":"Productivity; Economics; Liberian dollar; Investment (military); Labour economics; Macroeconomics; Finance","score_opus":0.022477767149829447,"score_gpt":0.26223302510186863,"score_spread":0.2397552579520392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W121269250","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":[0.9160514,0.043759454,0.00038108754,0.0013645036,0.00009697701,0.00004532361,0.015842345,0.0000365424,0.022422345],"genre_scores_gemma":[0.929028,0.058575008,0.0002497038,0.00023255694,0.00014748762,0.00003478841,0.009777595,0.00000642802,0.0019483669],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99952006,0.00006667229,0.000053258434,0.000058873502,0.0001551662,0.00014600348],"domain_scores_gemma":[0.9965682,0.00079416326,0.0015029291,0.00007353882,0.0008617839,0.00019930684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009094038,0.0005150361,0.00029856554,0.0050231563,0.00034433135,0.0010401059,0.0001834801,0.00023387455,0.0011334826],"category_scores_gemma":[0.003141293,0.000116064904,0.000535549,0.01029157,0.00044855627,0.0006392749,0.00067608024,0.00032105096,0.00035317286],"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":[0.00025573402,0.0001159026,0.90640646,0.000975093,0.00025110593,0.000835636,0.0009003562,0.001974025,0.00022635028,0.0013361361,0.0087451795,0.0779779],"study_design_scores_gemma":[0.00001222464,0.000066986686,0.9809713,0.0002194897,0.00016965007,0.00013217036,0.0013700189,0.00018504597,0.00033762926,0.00012770868,0.016398607,0.000009272659],"about_ca_topic_score_codex":0.09957767,"about_ca_topic_score_gemma":0.10854136,"teacher_disagreement_score":0.09957767,"about_ca_system_score_codex":0.0016259823,"about_ca_system_score_gemma":0.0016457676,"threshold_uncertainty_score":0.19799614},"labels":[],"label_agreement":null},{"id":"W1220606631","doi":"","title":"Economic Forecast for Fourth Quarter","year":2002,"lang":"zh","type":"article","venue":"中国对外贸易：英文版","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Economics; Geography","score_opus":0.04657800109069843,"score_gpt":0.2049619373093434,"score_spread":0.15838393621864497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1220606631","genre_codex":"dataset","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":[0.04131244,0.014454038,0.0058586593,0.022132393,0.034262344,0.0002441244,0.54431933,0.003911202,0.33350542],"genre_scores_gemma":[0.12174552,0.008510658,0.002794172,0.0012052304,0.0046113953,0.0001891608,0.25019413,0.00050980033,0.6102399],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99964595,0.000015764737,0.000017473254,0.00007236387,0.00018548679,0.000062879575],"domain_scores_gemma":[0.9987087,0.0000688262,0.000116627976,0.00006185299,0.00094916805,0.00009482691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044665308,0.0010512292,0.00079342356,0.0030620745,0.0005541222,0.0017090556,0.0005577684,0.0011691148,0.03434858],"category_scores_gemma":[0.0020823672,0.0003110473,0.00047274787,0.002771854,0.00017102063,0.0012127992,0.0005057404,0.0022868915,0.034349002],"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":[0.00020896032,0.00003928147,0.0031638846,0.000095911,0.000015565836,0.00006198589,0.00002137306,0.0020240636,0.00010563308,0.0017085727,0.96529317,0.027261542],"study_design_scores_gemma":[0.00011502112,0.00011637372,0.052199636,0.00023886902,0.000052066203,0.000063053245,0.00013169314,0.007868855,0.00091206556,0.0031154929,0.93514824,0.0000387333],"about_ca_topic_score_codex":0.06584651,"about_ca_topic_score_gemma":0.06974529,"teacher_disagreement_score":0.06584651,"about_ca_system_score_codex":0.001967389,"about_ca_system_score_gemma":0.001371157,"threshold_uncertainty_score":0.13092649},"labels":[],"label_agreement":null},{"id":"W131074842","doi":"","title":"When Did Modern Economic Growth Really Start? The Empirics of Malthus to Solow","year":2003,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Human capital; Industrial Revolution; Capital (architecture); Economic expansion; Macro; Macroeconomics; Economic system; Development economics; Market economy; Geography","score_opus":0.03706292934367983,"score_gpt":0.217019452563441,"score_spread":0.17995652321976116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W131074842","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027648918,0.15940402,0.018345242,0.5908762,0.0063436567,0.000050050494,0.00039444803,0.00013706977,0.19680038],"genre_scores_gemma":[0.73614377,0.13189255,0.0070905257,0.04704241,0.009564517,0.0001856224,0.00027217856,0.0002117494,0.0675966],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99920195,0.0003623718,0.000034706733,0.00015031872,0.00013541717,0.00011523863],"domain_scores_gemma":[0.997976,0.0012602087,0.00016073513,0.00014102223,0.00030009352,0.00016197294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022650764,0.00053671486,0.0007812719,0.0015141361,0.0016879064,0.0046084328,0.0005457524,0.002510687,0.0055039525],"category_scores_gemma":[0.008856358,0.00028857728,0.00034677936,0.0022648403,0.013687824,0.0134493075,0.0025399837,0.0061389445,0.0013658134],"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":[0.000026815429,0.000010833153,0.00045224637,0.000061270715,0.000007787186,0.00005826654,0.00065178063,0.00031510403,0.00003531181,0.9685145,0.019608485,0.010257588],"study_design_scores_gemma":[0.000010924589,0.000006928969,0.00038412772,0.00011569899,0.0000029977825,0.000032071326,0.00042842655,0.00030728852,0.000050730443,0.92531234,0.07333849,0.000009889329],"about_ca_topic_score_codex":0.006382754,"about_ca_topic_score_gemma":0.003518398,"teacher_disagreement_score":0.006382754,"about_ca_system_score_codex":0.0047562947,"about_ca_system_score_gemma":0.0019898573,"threshold_uncertainty_score":0.03450954},"labels":[],"label_agreement":null},{"id":"W131782656","doi":"","title":"Investissement en actifs incorporels au Canada: depenses de R-D, d'innovation, d'image de marque et de prospection miniere, petroliere et gaziere","year":2009,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Humanities; Political science; Prospection; Art; Geography; Archaeology","score_opus":0.02644583430732055,"score_gpt":0.28635807042839284,"score_spread":0.2599122361210723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W131782656","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":[0.77223665,0.0072332965,0.011310345,0.0040359017,0.000076540884,0.0004767456,0.007348644,0.00022070437,0.1970612],"genre_scores_gemma":[0.89496756,0.00502818,0.0067845127,0.00033989432,0.000026462552,0.00016493874,0.0027399834,0.000044400196,0.08990402],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959824,0.0003435098,0.00011624927,0.00025725857,0.0026343276,0.0006662682],"domain_scores_gemma":[0.99007356,0.0028990463,0.0019570643,0.00036154938,0.0035629252,0.0011458232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021063767,0.00059705705,0.0004526152,0.0044570207,0.0021040556,0.0044163065,0.0007414557,0.0007277164,0.007627748],"category_scores_gemma":[0.008299428,0.0003479805,0.0007470552,0.005148413,0.0013577221,0.0011082835,0.0015013018,0.0012452145,0.0007728626],"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":[0.00059144554,0.0002976787,0.55303437,0.00093715714,0.0005793017,0.00058938697,0.010933743,0.011683373,0.003868545,0.10274429,0.011865707,0.30287486],"study_design_scores_gemma":[0.000035358,0.0001810636,0.8147235,0.0006555123,0.00044684068,0.00022406997,0.008021576,0.004572684,0.007032724,0.0040669013,0.1599242,0.000115581264],"about_ca_topic_score_codex":0.8647982,"about_ca_topic_score_gemma":0.91359925,"teacher_disagreement_score":0.13520181,"about_ca_system_score_codex":0.0339605,"about_ca_system_score_gemma":0.04674242,"threshold_uncertainty_score":0.27199602},"labels":[],"label_agreement":null},{"id":"W133658490","doi":"10.1007/0-387-25352-1_1","title":"North — South Trade and the Sustainability of Economic Growth: A Model with Environmental Constraints","year":2005,"lang":"en","type":"book-chapter","venue":"","topic":"Economic Growth and Productivity","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":"HEC Montréal; Université du Québec à Montréal; McGill University; Group for Research in Decision Analysis","funders":"","keywords":"Sustainability; Natural resource; Consumption (sociology); Resource (disambiguation); Resource consumption; Natural resource economics; Economics; Natural (archaeology); Growth model; Geography; Ecology; Microeconomics; Computer science; Biology","score_opus":0.0138609498100978,"score_gpt":0.16409800614369918,"score_spread":0.15023705633360138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W133658490","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":[0.34214914,0.008488908,0.18919975,0.07131529,0.001095909,0.00013995245,0.0026624114,0.00046264165,0.38448593],"genre_scores_gemma":[0.9271393,0.0036835778,0.006368379,0.0010906032,0.0003997481,0.00012403652,0.00027241037,0.00013387957,0.060787983],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971896,0.00010966765,0.000010786372,0.000063020874,0.000024219742,0.00007324024],"domain_scores_gemma":[0.9991304,0.00045416484,0.00012645278,0.000045090193,0.000065844535,0.00017792187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095359667,0.0011119832,0.001324816,0.00062937516,0.001701537,0.004725861,0.0018310081,0.005493016,0.012421334],"category_scores_gemma":[0.0021524203,0.0011180334,0.0018776569,0.0016458537,0.003003272,0.0056880536,0.0023997142,0.0038750852,0.0009825971],"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":[0.00012936251,0.00008678497,0.0014414025,0.00008344835,0.00007385215,0.00028666135,0.00020060722,0.28796557,0.0004150182,0.6949403,0.008712917,0.005664023],"study_design_scores_gemma":[0.00018997364,0.000048112266,0.0009370836,0.00006518454,0.00007584961,0.00013647579,0.0002902287,0.2943908,0.00012680827,0.693925,0.009768515,0.000045902736],"about_ca_topic_score_codex":0.03220834,"about_ca_topic_score_gemma":0.026464824,"teacher_disagreement_score":0.03220834,"about_ca_system_score_codex":0.0032166725,"about_ca_system_score_gemma":0.0028637445,"threshold_uncertainty_score":0.064041674},"labels":[],"label_agreement":null},{"id":"W13563453","doi":"","title":"U.S. Productivity Growth: An Optimistic Perspective","year":2013,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Productivity; Incentive; Investment (military); Innovation economics; Technological change; Pace; Market economy; Economic system; Economic growth; Macroeconomics","score_opus":0.02961248159996881,"score_gpt":0.24078276031068407,"score_spread":0.21117027871071525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W13563453","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024052618,0.19175035,0.005594734,0.5761782,0.008803699,0.00001973393,0.0014941408,0.0002179483,0.19188859],"genre_scores_gemma":[0.7132724,0.21722268,0.004430895,0.037433967,0.013409348,0.00006893573,0.0005949071,0.00007558736,0.013491372],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981317,0.00061612466,0.00012376397,0.00023764712,0.00064420985,0.00024655953],"domain_scores_gemma":[0.99671614,0.0011706963,0.00048504834,0.00015191206,0.0012201344,0.0002561152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004126572,0.00092387974,0.00047777937,0.0040907166,0.0019317662,0.009338798,0.0006322155,0.0024668046,0.0027746563],"category_scores_gemma":[0.008416734,0.00027473847,0.00038307827,0.0045087677,0.0023170125,0.0074403775,0.002117327,0.0061161746,0.0010515117],"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":[0.00018124028,0.00006778968,0.0072044674,0.00041866975,0.00006413915,0.000388673,0.0016055077,0.0031392,0.0003756507,0.67291665,0.16168062,0.15195736],"study_design_scores_gemma":[0.000029864144,0.00027091466,0.01666186,0.003142189,0.00009818456,0.0005545473,0.0047179516,0.005099288,0.0013159908,0.32478526,0.64317673,0.00014720914],"about_ca_topic_score_codex":0.008979002,"about_ca_topic_score_gemma":0.007772107,"teacher_disagreement_score":0.009338798,"about_ca_system_score_codex":0.0042930194,"about_ca_system_score_gemma":0.002708503,"threshold_uncertainty_score":0.031148195},"labels":[],"label_agreement":null},{"id":"W135985902","doi":"10.1111/caje.12721","title":"Occupational choice, human capital and financial constraints","year":2024,"lang":"en","type":"preprint","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Université de Montréal","keywords":"Productivity; Economics; Production (economics); Anticipation (artificial intelligence); Affect (linguistics); Labour economics; Human capital; Distribution (mathematics); Capital (architecture); Monetary economics; Capital intensity; Microeconomics; Macroeconomics; Market economy","score_opus":0.124765220683923,"score_gpt":0.20072253465699597,"score_spread":0.07595731397307297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W135985902","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":[0.9829047,0.00096692296,0.0024866997,0.0010842674,0.000017224182,0.000021373602,0.0007645289,0.000009274742,0.011744999],"genre_scores_gemma":[0.9955369,0.00037460396,0.00020642424,0.000055910416,0.000020647534,0.000012336779,0.00013550148,0.0000017451463,0.003655935],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99968815,0.00010103516,0.000013841811,0.000039439736,0.000045693425,0.0001118896],"domain_scores_gemma":[0.9955649,0.002393755,0.0011355787,0.00014190693,0.00010840113,0.0006554905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086475286,0.00024513566,0.0005496931,0.0007297161,0.00046371063,0.0017210395,0.00033142045,0.0007303102,0.015123639],"category_scores_gemma":[0.0033319471,0.00016560714,0.00028234697,0.0013690947,0.0006986068,0.0008526349,0.0007245879,0.00046444545,0.0008012814],"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":[0.00041529178,0.00104412,0.7686136,0.00019248799,0.00030540678,0.0010085544,0.0008885484,0.066854045,0.00078400254,0.114911966,0.0054298704,0.039552137],"study_design_scores_gemma":[0.0001357959,0.00040125937,0.7076979,0.00028164705,0.00016810361,0.0004883585,0.0030220556,0.08695784,0.0006161772,0.18700676,0.013131653,0.000092442664],"about_ca_topic_score_codex":0.012227456,"about_ca_topic_score_gemma":0.010575807,"teacher_disagreement_score":0.015123639,"about_ca_system_score_codex":0.0009521332,"about_ca_system_score_gemma":0.0006868656,"threshold_uncertainty_score":0.050593615},"labels":[],"label_agreement":null},{"id":"W143771925","doi":"10.7202/600637ar","title":"Cycles post-transitionnels et modèles proie-prédateur","year":2008,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Physics; Merge (version control); Philosophy; Computer science","score_opus":0.020804885084161947,"score_gpt":0.20609006064499752,"score_spread":0.18528517556083557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W143771925","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":[0.22730887,0.009313978,0.58221817,0.013244381,0.0009676581,0.00016868098,0.0022800772,0.0011526622,0.16334563],"genre_scores_gemma":[0.9133072,0.0038869558,0.023614563,0.0004860363,0.0002612533,0.00030118602,0.0006329965,0.0001573168,0.057352316],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994796,0.00022783445,0.000014466171,0.00011333343,0.00009949013,0.00006534393],"domain_scores_gemma":[0.9990722,0.00047563593,0.00014219515,0.000115136674,0.00011509605,0.00007971953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011772307,0.00049953075,0.0004317593,0.000727714,0.0009061901,0.0023416658,0.0010708163,0.0011287889,0.0075971032],"category_scores_gemma":[0.0046685226,0.0003384008,0.000621612,0.0008805752,0.0015392964,0.0025886723,0.00093746337,0.0017319856,0.0007517945],"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":[0.00001511658,0.000009672673,0.000503241,0.000011758935,0.000008914793,0.00005011969,0.00012758099,0.024682177,0.000069093374,0.96922743,0.0016810687,0.0036138694],"study_design_scores_gemma":[0.000041076575,0.000027469312,0.00088738976,0.00004135542,0.000017163828,0.0001149851,0.00016936375,0.3075643,0.00029486112,0.6441739,0.04663666,0.00003145914],"about_ca_topic_score_codex":0.016591411,"about_ca_topic_score_gemma":0.010484569,"teacher_disagreement_score":0.016591411,"about_ca_system_score_codex":0.0025844662,"about_ca_system_score_gemma":0.0016413704,"threshold_uncertainty_score":0.03298968},"labels":[],"label_agreement":null},{"id":"W14521615","doi":"10.1046/j.1538-7836.2003.00390.x","title":"The Canada-U.S. productivity growth paradox","year":2000,"lang":"en","type":"book","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"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":"Productivity; Economics; Agricultural economics; Macroeconomics","score_opus":0.01613060041554458,"score_gpt":0.16831964884197537,"score_spread":0.15218904842643077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W14521615","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":[0.030266518,0.081118874,0.0021948768,0.26323453,0.0018635931,0.00002779974,0.004095005,0.00027918222,0.61691964],"genre_scores_gemma":[0.6946429,0.09108054,0.002186074,0.024483558,0.0010895879,0.00004205734,0.002080503,0.00019369935,0.18420099],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99926406,0.000041440442,0.000017738423,0.000073628835,0.0003763713,0.0002267253],"domain_scores_gemma":[0.99838257,0.00024833236,0.0000775747,0.00005176912,0.0009645186,0.00027518522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007166188,0.0005097191,0.00040191147,0.0023247413,0.0038548652,0.005658575,0.0009345858,0.0017492515,0.01042753],"category_scores_gemma":[0.0037795461,0.00019386403,0.0002602775,0.007188991,0.003509835,0.0020943575,0.0010879672,0.00244821,0.001148541],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048321665,0.000017532453,0.0026750297,0.00008727138,0.000017948394,0.00017927746,0.0006759173,0.0009887338,0.00013688297,0.52806026,0.39379635,0.07331642],"study_design_scores_gemma":[0.000054221626,0.000014654862,0.024843033,0.00039285095,0.000052914038,0.00031747634,0.0022045528,0.002043479,0.00043934723,0.22780035,0.7417731,0.00006397032],"about_ca_topic_score_codex":0.9578327,"about_ca_topic_score_gemma":0.9679556,"teacher_disagreement_score":0.9431164,"about_ca_system_score_codex":0.056883555,"about_ca_system_score_gemma":0.06747996,"threshold_uncertainty_score":0.41272104},"labels":[],"label_agreement":null},{"id":"W1479758982","doi":"10.17016/feds.2001.29","title":"Production Synergies, Technology Adoption, Unemployment, and Wages","year":2001,"lang":"en","type":"article","venue":"Finance and Economics Discussion Series","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Productivity; Externality; Production (economics); Economics; Unemployment; Work (physics); Wage dispersion; Wage; Labour economics; Industrial organization; Economic geography; Efficiency wage; Microeconomics; Economic growth; Engineering","score_opus":0.01850826564002869,"score_gpt":0.20225474290864287,"score_spread":0.18374647726861418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1479758982","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":[0.98850995,0.0012961722,0.0023410458,0.00078491226,0.000008832085,0.000014328701,0.0003554611,0.000021512082,0.0066678165],"genre_scores_gemma":[0.9977608,0.0004955579,0.000303211,0.00002465503,0.00001455217,0.000008048898,0.00012417023,0.000001509801,0.001267628],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970883,0.00007706856,0.000020490506,0.000056502176,0.00003930714,0.000097740565],"domain_scores_gemma":[0.9963347,0.0015634672,0.0015025627,0.00011557263,0.00009042396,0.000393313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007286616,0.00021565538,0.00036713618,0.00086934835,0.0006639814,0.0013208084,0.00018463662,0.00080013234,0.006986198],"category_scores_gemma":[0.0049888976,0.00021344099,0.00031331342,0.0013707274,0.0006419998,0.0010139651,0.00094494486,0.00057518296,0.000394138],"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":[0.00050726475,0.0005264406,0.845447,0.00015076836,0.00025577072,0.00060835324,0.0007021227,0.064012215,0.0015147233,0.039514963,0.0018251162,0.044935185],"study_design_scores_gemma":[0.000062601124,0.00027151383,0.88899,0.000071360504,0.0001285413,0.0004915017,0.0010761882,0.040843878,0.0005042271,0.06296197,0.0045642313,0.00003393594],"about_ca_topic_score_codex":0.0054464717,"about_ca_topic_score_gemma":0.009670358,"teacher_disagreement_score":0.006986198,"about_ca_system_score_codex":0.0010871087,"about_ca_system_score_gemma":0.00071877637,"threshold_uncertainty_score":0.02337116},"labels":[],"label_agreement":null},{"id":"W1479926022","doi":"","title":"R&D on the Fast Track to Globalization","year":2011,"lang":"en","type":"article","venue":"Research-Technology Management","topic":"Economic Growth and Productivity","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":"Globalization; IBM; Revenue; Investment (military); Quarter (Canadian coin); China; Business; Marketing; Management; Political science; Economics; Geography; Finance; Market economy; Politics; Law","score_opus":0.12797440012554565,"score_gpt":0.28340814093279504,"score_spread":0.1554337408072494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1479926022","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0054516685,0.061134554,0.0028554448,0.6724265,0.021434953,0.000030002528,0.00036227857,0.00046632127,0.2358383],"genre_scores_gemma":[0.14739403,0.15352315,0.0065141665,0.47048634,0.03458509,0.00009379268,0.0009874435,0.00079755794,0.18561853],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9917454,0.0021281308,0.00033684412,0.0012488035,0.0032565712,0.0012842861],"domain_scores_gemma":[0.98885417,0.002392098,0.0010165243,0.0016791698,0.0033644289,0.002693695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007160066,0.000907586,0.0008189705,0.0018872252,0.003116996,0.015105751,0.0011942772,0.0066623013,0.033886652],"category_scores_gemma":[0.015241228,0.00041402254,0.0010276502,0.0032014863,0.008424661,0.020010902,0.0069095655,0.0117492955,0.010585776],"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":[0.00005079486,0.000032327724,0.0007358472,0.0003800615,0.000020776704,0.00017622915,0.0009063911,0.000216421,0.00057278277,0.2872128,0.60806257,0.10163311],"study_design_scores_gemma":[0.000005530873,0.000016246111,0.0007311326,0.00019063086,0.0000038707276,0.000074057825,0.00066992856,0.00003326071,0.00014163647,0.017455727,0.98066634,0.000011622637],"about_ca_topic_score_codex":0.0036912216,"about_ca_topic_score_gemma":0.0028115285,"teacher_disagreement_score":0.033886652,"about_ca_system_score_codex":0.0051807794,"about_ca_system_score_gemma":0.0075981673,"threshold_uncertainty_score":0.11336213},"labels":[],"label_agreement":null},{"id":"W1481227443","doi":"","title":"The Sources of Productivity Growth in Canada.","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"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":"Productivity; Investment (military); Economics; Technological change; Growth model; General equilibrium theory; Macroeconomics; Political science","score_opus":0.031065756068387906,"score_gpt":0.2445773333251093,"score_spread":0.2135115772567214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1481227443","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":[0.749761,0.023618681,0.01178469,0.03193218,0.00031692302,0.00018507557,0.07197849,0.0005861117,0.109836824],"genre_scores_gemma":[0.9757224,0.004078455,0.0018930361,0.00016721294,0.000020320547,0.000021163383,0.0040491917,0.00004026866,0.01400796],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99940336,0.00003408278,0.000016434551,0.00006953112,0.00021367478,0.00026285104],"domain_scores_gemma":[0.99876297,0.00016343188,0.00013317032,0.000027758031,0.00070665515,0.00020615637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006316322,0.00051954057,0.0003861727,0.0030685486,0.0024821714,0.0027771706,0.0009316919,0.00058543944,0.003945298],"category_scores_gemma":[0.0031879612,0.00028246033,0.0006577032,0.0061334018,0.0006998969,0.0006037724,0.0009029369,0.0009313218,0.00032303124],"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":[0.0005669584,0.000113014845,0.21135849,0.0005515163,0.00027805322,0.0014444174,0.004394707,0.09997667,0.0011479178,0.35727867,0.15547532,0.16741431],"study_design_scores_gemma":[0.000121809826,0.000054871743,0.5193494,0.00045961078,0.00033751526,0.0004624643,0.0061800964,0.1883525,0.0017289922,0.07978774,0.20292333,0.00024160059],"about_ca_topic_score_codex":0.9961857,"about_ca_topic_score_gemma":0.99525225,"teacher_disagreement_score":0.0785691,"about_ca_system_score_codex":0.0785691,"about_ca_system_score_gemma":0.070588745,"threshold_uncertainty_score":0.5700614},"labels":[],"label_agreement":null},{"id":"W1483001127","doi":"","title":"Impact de l'adoption des technologies de l'information et des communications de pointe sur la performance des entreprises du secteur de la fabrication au Canada","year":2001,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.03171014831733905,"score_gpt":0.27938566202881143,"score_spread":0.2476755137114724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1483001127","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":[0.9751957,0.00081769784,0.0026124516,0.00057802617,0.000016842034,0.00006931652,0.0009265519,0.00004763359,0.019735835],"genre_scores_gemma":[0.97946554,0.0009655561,0.0024828897,0.0001132797,0.0000066524794,0.000052740423,0.00060389366,0.00001964738,0.016289735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99699247,0.00043162893,0.000087961096,0.0003572962,0.0014882246,0.00064235594],"domain_scores_gemma":[0.9906861,0.0025938503,0.001151104,0.00041374,0.0045163487,0.00063884025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018766839,0.00038595046,0.00033239537,0.0013024036,0.0017023772,0.002968916,0.0007849127,0.0005137816,0.004949524],"category_scores_gemma":[0.006690626,0.00026819092,0.00061749335,0.0023415657,0.0010178011,0.00094513356,0.0010625073,0.00072398083,0.0005052104],"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":[0.00060641934,0.00022314815,0.7734031,0.00051442225,0.00042892218,0.00065296993,0.015421819,0.014175844,0.014777461,0.009760906,0.003738246,0.16629675],"study_design_scores_gemma":[0.0000114939385,0.00028113573,0.9478181,0.00016728872,0.00014450925,0.00009361557,0.016597897,0.0043002856,0.0045437743,0.00054042053,0.025432365,0.000069017784],"about_ca_topic_score_codex":0.81385106,"about_ca_topic_score_gemma":0.8914486,"teacher_disagreement_score":0.18614894,"about_ca_system_score_codex":0.016631098,"about_ca_system_score_gemma":0.019737635,"threshold_uncertainty_score":0.37449038},"labels":[],"label_agreement":null},{"id":"W1483911403","doi":"10.1108/01443580610639875","title":"The role of the interprovincial transfers in the <i>β</i>‐convergence process","year":2006,"lang":"en","type":"article","venue":"Journal of Economic Studies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Convergence (economics); Originality; Econometrics; Principal (computer security); Value (mathematics); Economics; Panel data; Process (computing); Empirical evidence; Computer science; Mathematics; Macroeconomics; Statistics; Sociology; Social science","score_opus":0.01766321473537312,"score_gpt":0.22933473702993196,"score_spread":0.21167152229455882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1483911403","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":[0.9744108,0.00059545983,0.006604794,0.0009338694,0.000013094214,0.00005578216,0.00024741038,0.00004099983,0.017097784],"genre_scores_gemma":[0.9988569,0.000083071915,0.0004321277,0.00001977556,0.0000025868694,0.0000044390176,0.00004997311,0.000004513788,0.0005465642],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984459,0.00033112968,0.0000850396,0.00024786164,0.0003020859,0.00058807153],"domain_scores_gemma":[0.99236333,0.002613762,0.0017982274,0.0005439328,0.0021087828,0.0005718765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003832272,0.00017496172,0.00036481553,0.0015065222,0.0014126692,0.0019513709,0.0005069485,0.0003076841,0.003381658],"category_scores_gemma":[0.018589508,0.00017259065,0.00045178796,0.0016565362,0.002453014,0.00088744005,0.0013785824,0.0009077853,0.00018880736],"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":[0.00049500086,0.00008189115,0.7918399,0.00012899982,0.00016635285,0.0007673607,0.005994997,0.025008515,0.0015031825,0.09489499,0.0019137814,0.077205054],"study_design_scores_gemma":[0.000030874853,0.00008377526,0.9475146,0.00011098079,0.000106786705,0.0001539867,0.0069382153,0.020041537,0.0013589168,0.018088287,0.005524373,0.00004757128],"about_ca_topic_score_codex":0.61100644,"about_ca_topic_score_gemma":0.4240259,"teacher_disagreement_score":0.61100644,"about_ca_system_score_codex":0.0061187632,"about_ca_system_score_gemma":0.008361909,"threshold_uncertainty_score":0.7825688},"labels":[],"label_agreement":null},{"id":"W1484146661","doi":"","title":"The OECD Productivity Database: An Overview","year":2004,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Comparability; Productivity; Economics; Database; Work (physics); Macroeconomics; Computer science; Engineering","score_opus":0.07077889017911605,"score_gpt":0.2849663033688421,"score_spread":0.21418741318972606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484146661","genre_codex":"dataset","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":[0.001598275,0.023280336,0.010744089,0.0049797227,0.0016700828,0.000740042,0.86065674,0.0048018172,0.09152887],"genre_scores_gemma":[0.005730851,0.043207794,0.019008582,0.0010611112,0.001057707,0.0015717035,0.9006176,0.0012907141,0.026453964],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99328506,0.0009944948,0.0013976197,0.0004872007,0.0032753043,0.0005603986],"domain_scores_gemma":[0.98704314,0.0023143664,0.0014937122,0.0012655893,0.0071560475,0.0007271716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056698597,0.0022580095,0.0014659007,0.029944295,0.0009528923,0.0059220716,0.0024991978,0.0013083415,0.05092443],"category_scores_gemma":[0.016138474,0.0007783585,0.0010438522,0.06015242,0.00037306052,0.004556144,0.0025833542,0.0016705055,0.08081223],"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":[0.000040683564,0.00004004813,0.0016413656,0.00078625075,0.000022417582,0.00005293961,0.000039766077,0.0003889162,0.000076080294,0.0041946135,0.8784334,0.114283465],"study_design_scores_gemma":[0.000013011633,0.0000061897713,0.0031385578,0.00038303892,0.0000098109485,0.00006747723,0.000052204265,0.00010411992,0.00009100792,0.0016752668,0.9944418,0.00001755826],"about_ca_topic_score_codex":0.020527137,"about_ca_topic_score_gemma":0.011698179,"teacher_disagreement_score":0.05092443,"about_ca_system_score_codex":0.0029912116,"about_ca_system_score_gemma":0.008023804,"threshold_uncertainty_score":0.1703592},"labels":[],"label_agreement":null},{"id":"W1484198085","doi":"","title":"Output Gap and GDP in Brazil: a real-time data analysis","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"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":"Output gap; Real gross domestic product; Hodrick–Prescott filter; GDP deflator; Gross domestic product; Economics; Econometrics; Quarter (Canadian coin); Potential output; Unobservable; National accounts; Business cycle; Sign (mathematics); Real-time data; Gross output; Macroeconomics; Mathematics; Production (economics); Computer science; Monetary policy; Geography","score_opus":0.07826762189366186,"score_gpt":0.31947598333897526,"score_spread":0.24120836144531338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484198085","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":[0.97933745,0.0011038748,0.0057917447,0.0008268436,0.000022249049,0.000029104616,0.009823479,0.0000930625,0.0029721737],"genre_scores_gemma":[0.99178785,0.00034950135,0.0021058088,0.00002838529,0.00001533142,0.000017868844,0.0053293477,0.000019069636,0.00034679723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999331,0.00023445976,0.000069810725,0.00012709785,0.00018897043,0.000048771166],"domain_scores_gemma":[0.9943006,0.0026966776,0.0014871054,0.000603819,0.0007960911,0.00011571513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016228565,0.00021835632,0.0002819437,0.0014078397,0.0001407048,0.00069431635,0.00029937908,0.0003424338,0.00061778596],"category_scores_gemma":[0.012563102,0.00013307708,0.0003440682,0.0029207517,0.00035719175,0.00058957055,0.0006300089,0.00051569316,0.00014200482],"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":[0.00015824115,0.000067897374,0.91113585,0.0002441043,0.0002733059,0.0005240886,0.0007874543,0.025981449,0.0018374791,0.007124805,0.0046545938,0.047210794],"study_design_scores_gemma":[0.000020591524,0.000062757164,0.90740305,0.00007571245,0.00007491863,0.00037990056,0.00046923137,0.075447366,0.0014675666,0.0026083258,0.011954256,0.00003632823],"about_ca_topic_score_codex":0.037341144,"about_ca_topic_score_gemma":0.021398447,"teacher_disagreement_score":0.037341144,"about_ca_system_score_codex":0.00083250814,"about_ca_system_score_gemma":0.00047230304,"threshold_uncertainty_score":0.0742476},"labels":[],"label_agreement":null},{"id":"W1484918510","doi":"","title":"Education, Productivity and Economic Growth: A Selective Review of the Evidence","year":2009,"lang":"en","type":"review","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Economics; Human capital; Frontier; Empirical evidence; Context (archaeology); Productivity; Investment (military); Quality (philosophy); Capital deepening; Macroeconomics; Public economics; Capital formation; Economic growth; Financial capital; Political science","score_opus":0.07281795049880373,"score_gpt":0.33973891682160184,"score_spread":0.2669209663227981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484918510","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011057774,0.99855155,0.000029363458,0.0005070572,0.00006769397,0.000001783148,0.000057788522,0.0000017824475,0.00067239854],"genre_scores_gemma":[0.0008285874,0.99880934,0.000037819194,0.0001260914,0.00006855431,0.0000015227769,0.00003510335,9.004207e-7,0.00009196048],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9991726,0.0001296145,0.00013513697,0.00015946125,0.00033398435,0.00006905848],"domain_scores_gemma":[0.9928195,0.004557873,0.00072925125,0.0001194628,0.0015862385,0.00018757107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002066761,0.0010125152,0.0022376466,0.008375933,0.00048567128,0.002628128,0.0013368629,0.0012486326,0.005036909],"category_scores_gemma":[0.008806526,0.0005577243,0.00092833926,0.020013226,0.0010554338,0.0018710482,0.00085560424,0.0014351084,0.0016661913],"study_design_candidate":"systematic_review","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":[0.00012978191,0.000060472074,0.0027551777,0.073076844,0.0006963165,0.00022622132,0.0001737098,0.00046924374,0.00032137753,0.0056939437,0.05295531,0.8634415],"study_design_scores_gemma":[0.000035016707,0.00009760473,0.026307276,0.1002968,0.0021453463,0.0008627221,0.00057270966,0.00017384863,0.00037698113,0.0063103777,0.8627507,0.00007061362],"about_ca_topic_score_codex":0.04834288,"about_ca_topic_score_gemma":0.076743215,"teacher_disagreement_score":0.04834288,"about_ca_system_score_codex":0.0036881666,"about_ca_system_score_gemma":0.008752716,"threshold_uncertainty_score":0.09612298},"labels":[],"label_agreement":null},{"id":"W1485401259","doi":"","title":"Economic integration, regional convergence and growth in North America","year":2008,"lang":"es","type":"article","venue":"Americanae (AECID Library)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Economics; Economic geography; Geography; Economic growth","score_opus":0.01639401447073736,"score_gpt":0.1847359545354119,"score_spread":0.16834194006467454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1485401259","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":[0.9334859,0.0066475472,0.0018728083,0.0024894865,0.000033560424,0.000009798192,0.00013033766,0.00002109204,0.05530934],"genre_scores_gemma":[0.9971418,0.0016518862,0.0003602383,0.000032902695,0.000017851458,0.0000049004925,0.000060448787,0.0000026908883,0.00072736386],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997563,0.00008187068,0.000009770919,0.00003539209,0.000044699067,0.00007201337],"domain_scores_gemma":[0.99922657,0.00019650329,0.00023964113,0.000029566947,0.00018664551,0.00012100283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061150524,0.00018003694,0.00025931027,0.0019402113,0.00070883497,0.0014159245,0.0001808559,0.0002523113,0.0018899721],"category_scores_gemma":[0.0022105186,0.00008701473,0.00020598895,0.0034813443,0.001224347,0.0013734958,0.001256207,0.0005243249,0.00013216681],"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":[0.00020830141,0.00018597023,0.4475242,0.00025825985,0.00020097212,0.0013861436,0.012824159,0.040492028,0.001218786,0.36385462,0.006874809,0.124971725],"study_design_scores_gemma":[0.000024487876,0.00005658616,0.8053124,0.0002705322,0.000086482956,0.00044807608,0.01420563,0.015510203,0.00031338053,0.14337325,0.020369835,0.000029281133],"about_ca_topic_score_codex":0.04250747,"about_ca_topic_score_gemma":0.041635644,"teacher_disagreement_score":0.95749253,"about_ca_system_score_codex":0.0017313781,"about_ca_system_score_gemma":0.0009985394,"threshold_uncertainty_score":0.0845201},"labels":[],"label_agreement":null},{"id":"W1486051522","doi":"","title":"Educacion y desarrollo economico de America Latina en el siglo veinte y perspectivas para el siglo veintiuno","year":2002,"lang":"es","type":"article","venue":"Estudios económicos de desarrollo internacional: Economic studies of international development : EEDI","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Latin Americans; Political science; Geography; Humanities; Art","score_opus":0.035645794441463,"score_gpt":0.28000339655006956,"score_spread":0.24435760210860658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1486051522","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":[0.88079125,0.0144310035,0.00084825174,0.010492162,0.00012882093,0.00002982974,0.0007501611,0.00003652768,0.09249205],"genre_scores_gemma":[0.97287095,0.011805082,0.0005978908,0.00080945634,0.00007025405,0.000029093635,0.00028491995,0.000013468429,0.013518939],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961686,0.00010781296,0.000011432644,0.000045512254,0.000062552805,0.00015578279],"domain_scores_gemma":[0.9991559,0.000188151,0.00022163603,0.00004302806,0.00026261233,0.00012866648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007473322,0.00021834217,0.0001704081,0.0011563876,0.00094904884,0.0023975393,0.00024879284,0.0003193832,0.0049499185],"category_scores_gemma":[0.0015439139,0.00007637627,0.00025217328,0.0023146912,0.0009290693,0.0009846874,0.0010800152,0.00045462744,0.00029786502],"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":[0.00016264687,0.000114304596,0.77069366,0.00051136885,0.000076398006,0.0009319235,0.021991394,0.00079240813,0.0019117107,0.03198793,0.0049299835,0.16589634],"study_design_scores_gemma":[0.00001473355,0.000083216975,0.76752263,0.0012028608,0.0000737019,0.0002913691,0.04411958,0.00025209234,0.00085188344,0.002759647,0.18280473,0.000023615565],"about_ca_topic_score_codex":0.14093456,"about_ca_topic_score_gemma":0.23036838,"teacher_disagreement_score":0.14093456,"about_ca_system_score_codex":0.0021977602,"about_ca_system_score_gemma":0.0045167706,"threshold_uncertainty_score":0.28022844},"labels":[],"label_agreement":null},{"id":"W1486889017","doi":"","title":"The quality of a consensus forecast for economic growth in Belgium, 1981-2001","year":2002,"lang":"en","type":"article","venue":"Brussels economic review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Consensus forecast; Quarter (Canadian coin); Econometrics; Sample (material); Economics; Quality (philosophy); Geography","score_opus":0.12152974215505777,"score_gpt":0.29053437562485124,"score_spread":0.16900463346979347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1486889017","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":[0.95092535,0.0072609927,0.017157676,0.0012063502,0.00014596301,0.000020835216,0.006820561,0.0004049808,0.016057165],"genre_scores_gemma":[0.9916161,0.0010746027,0.002327216,0.000016025877,0.00004573396,0.0000068432523,0.0038451909,0.000049748294,0.0010185526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99748766,0.0007564543,0.00018022417,0.00033957828,0.001052274,0.00018376003],"domain_scores_gemma":[0.9849493,0.0060770726,0.0020467737,0.00046420642,0.006154673,0.00030804757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047863913,0.0003121774,0.00063129433,0.0026245308,0.00030800226,0.0016041923,0.0003116971,0.00040482404,0.0010190867],"category_scores_gemma":[0.026142493,0.000168239,0.00035028293,0.0029709577,0.00025260038,0.00074664096,0.00036044384,0.0004356696,0.00043359783],"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":[0.0022712005,0.00007413791,0.35022682,0.00049655046,0.0006276466,0.000512087,0.0012893071,0.34079078,0.0012801945,0.007859984,0.019682905,0.27488846],"study_design_scores_gemma":[0.00013353719,0.0003936876,0.72056955,0.0003841899,0.00036317628,0.00077496225,0.0017133591,0.21167119,0.004879245,0.0064688614,0.052454565,0.0001936604],"about_ca_topic_score_codex":0.068081856,"about_ca_topic_score_gemma":0.036445733,"teacher_disagreement_score":0.068081856,"about_ca_system_score_codex":0.0018137047,"about_ca_system_score_gemma":0.001619948,"threshold_uncertainty_score":0.13537115},"labels":[],"label_agreement":null},{"id":"W1486905751","doi":"10.1016/j.asieco.2005.06.008","title":"The economic strategy for the Hong Kong SAR: Evidence from productivity and cost analysis","year":2005,"lang":"en","type":"article","venue":"Journal of Asian Economics","topic":"Economic Growth and Productivity","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":"Global Affairs Canada; University of Toronto","funders":"","keywords":"Productivity; Goods and services; Unit (ring theory); Business; Economics; Economic base analysis; Total factor productivity; Growth accounting; Agricultural economics; Economy; Economic growth","score_opus":0.04820093466346323,"score_gpt":0.25018818586337144,"score_spread":0.2019872511999082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1486905751","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":[0.9915422,0.0011704204,0.00012909497,0.0005673352,0.000010705407,0.000022218892,0.0005951176,0.000005484964,0.0059573394],"genre_scores_gemma":[0.9975388,0.00083400187,0.000060003968,0.000057481157,0.000009053147,0.0000050467415,0.00031122184,0.000002219119,0.0011821913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996277,0.000104857114,0.000030790856,0.00004021848,0.00009244161,0.00010394491],"domain_scores_gemma":[0.99369895,0.0023228098,0.0019195264,0.00029071624,0.001262744,0.0005052332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014581278,0.00037325028,0.00038057848,0.0019979654,0.000611148,0.0020895158,0.00054683833,0.000514542,0.0022771487],"category_scores_gemma":[0.0052122725,0.00018697589,0.00039719415,0.0029573757,0.0008582122,0.0013278655,0.000680664,0.0006573225,0.00031490115],"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":[0.0008533411,0.00022260945,0.9477547,0.0001796595,0.00045317365,0.00062603515,0.0012252013,0.0069593065,0.00035843052,0.006044494,0.0027835884,0.032539535],"study_design_scores_gemma":[0.000055783137,0.00018107415,0.9854188,0.0000419286,0.000276163,0.00006978234,0.0039133173,0.005422199,0.00045010052,0.0013278815,0.002817365,0.000025706033],"about_ca_topic_score_codex":0.22377238,"about_ca_topic_score_gemma":0.20606577,"teacher_disagreement_score":0.22377238,"about_ca_system_score_codex":0.004782484,"about_ca_system_score_gemma":0.0020808636,"threshold_uncertainty_score":0.44493973},"labels":[],"label_agreement":null},{"id":"W1487302169","doi":"10.1023/a:1015060004921","title":"The Effect of Technological Change and Technical Inefficiencies on the Performance of Functional Forms","year":2002,"lang":"en","type":"article","venue":"Journal of Productivity Analysis","topic":"Economic Growth and Productivity","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":"Université du Québec à Montréal","funders":"","keywords":"Inefficiency; Economics; Econometrics; Technological change; Technical change; Returns to scale; Function (biology); Production (economics); Sample (material); Production function; Scale (ratio); Microeconomics; Productivity; Macroeconomics","score_opus":0.045816032308317996,"score_gpt":0.20031890783028714,"score_spread":0.15450287552196915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1487302169","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":[0.99088573,0.00047762867,0.003806318,0.00035234023,0.000015744507,0.0000070822716,0.000075603624,0.000033101147,0.0043464247],"genre_scores_gemma":[0.9987118,0.00012172537,0.0006270599,0.000019073837,0.000020230547,0.0000031442626,0.00005492864,0.000018306762,0.0004237034],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99683434,0.0019138495,0.00023618217,0.00023476427,0.00039706778,0.00038382574],"domain_scores_gemma":[0.7261849,0.2450958,0.009542452,0.01044273,0.0068135485,0.001920515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009252365,0.00045371175,0.0005707891,0.0014331978,0.00054243905,0.0027904436,0.0006628983,0.0015842083,0.005165643],"category_scores_gemma":[0.11930669,0.00036137796,0.00062588457,0.0014933243,0.0019403294,0.0037952377,0.00084694376,0.0014063041,0.0009011458],"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":[0.0029690736,0.000972302,0.45861712,0.0003100175,0.0005235311,0.0011117113,0.0023636667,0.3116011,0.012863809,0.06887304,0.002517884,0.13727675],"study_design_scores_gemma":[0.00025265288,0.0013835096,0.5395789,0.00008467873,0.00045030407,0.0009698021,0.0014860935,0.33992192,0.011850936,0.101065196,0.0027522927,0.00020363006],"about_ca_topic_score_codex":0.0015025623,"about_ca_topic_score_gemma":0.0009906895,"teacher_disagreement_score":0.009252365,"about_ca_system_score_codex":0.0007474159,"about_ca_system_score_gemma":0.00062191836,"threshold_uncertainty_score":0.048931777},"labels":[],"label_agreement":null},{"id":"W1487381130","doi":"10.3386/w8149","title":"Population Growth, Technological Adoption and Economic Outcomes: A Theory of Cross-Country Differences for the Information Era","year":2001,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Human capital; Economics; Comparative advantage; Wage; Population; Technological change; Tertiary sector of the economy; Labour economics; Population growth; Production (economics); Demographic economics; Economic growth; Economy; Macroeconomics; International trade","score_opus":0.19609800553118736,"score_gpt":0.40711077655951405,"score_spread":0.2110127710283267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1487381130","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":[0.8543692,0.0041857124,0.08864297,0.0106897885,0.00026724726,0.00024689944,0.0011384186,0.00020343783,0.040256377],"genre_scores_gemma":[0.99012685,0.0014865652,0.0031021263,0.00052209734,0.00015553618,0.00014476,0.00022662993,0.00002072985,0.004214703],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99865365,0.0005618988,0.000046755886,0.00026416258,0.00014148075,0.00033199802],"domain_scores_gemma":[0.99062586,0.005808482,0.0022591497,0.00057885575,0.00027755348,0.00045019682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046539987,0.00081125385,0.0008747673,0.0024996698,0.0010076205,0.0033075963,0.0011473404,0.002364579,0.010962327],"category_scores_gemma":[0.010962902,0.00035478626,0.0015142795,0.0024442237,0.003493458,0.0037992387,0.0031850017,0.002421931,0.00080283644],"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":[0.00026186876,0.00038515346,0.23742479,0.00020830703,0.000655036,0.0013372493,0.0026045397,0.084887005,0.00054292666,0.61338145,0.0030108232,0.055300973],"study_design_scores_gemma":[0.0002172256,0.000707449,0.21939953,0.00023029553,0.0005423731,0.0010755726,0.0027600762,0.17128594,0.00051237654,0.5898921,0.013149247,0.00022787791],"about_ca_topic_score_codex":0.007788712,"about_ca_topic_score_gemma":0.0044087023,"teacher_disagreement_score":0.010962327,"about_ca_system_score_codex":0.0014880387,"about_ca_system_score_gemma":0.00067592756,"threshold_uncertainty_score":0.03667265},"labels":[],"label_agreement":null},{"id":"W1488015625","doi":"10.1111/j.1540-5982.2010.01618.x","title":"Catching up to the technology frontier: the dichotomy between innovation and imitation","year":2010,"lang":"en","type":"preprint","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Absorptive capacity; Frontier; Imitation; Productivity; Panel data; Developing country; Educational attainment; Total factor productivity; Technology transfer; Economics; R&D intensity; Economic geography; Demographic economics; International trade; Economic growth; Industrial organization; Econometrics; Political science; Management; Psychology","score_opus":0.13037814701685327,"score_gpt":0.19431803262736255,"score_spread":0.06393988561050928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1488015625","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":[0.995719,0.000377878,0.00079083856,0.00009986564,0.000004050143,0.0000050101444,0.00036017864,0.000007966073,0.0026352315],"genre_scores_gemma":[0.9992736,0.00010331818,0.000110067245,0.000010330117,0.000004421249,0.0000026367018,0.00034256495,0.0000018261463,0.00015113161],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990522,0.00030125113,0.000080846854,0.00018890167,0.00017623632,0.00020051526],"domain_scores_gemma":[0.9807941,0.01162014,0.004455474,0.0013583415,0.0009926074,0.00077938335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023578666,0.00024234326,0.000595453,0.0018757426,0.00036477813,0.0019145445,0.00035281212,0.00028097583,0.0020978923],"category_scores_gemma":[0.009254726,0.00014322613,0.0006336572,0.0025287047,0.0011119075,0.0012593847,0.0019038889,0.0009375553,0.0004254275],"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":[0.00013780438,0.000029901159,0.98085356,0.000047657722,0.00017375739,0.00017649452,0.0005059381,0.0030991915,0.0004314434,0.0027500964,0.00034434276,0.0114498325],"study_design_scores_gemma":[0.000018738912,0.00007671956,0.9891478,0.00004713856,0.000090427144,0.00013923658,0.0012284522,0.0036442364,0.00065107166,0.0032157958,0.0017258158,0.000014650132],"about_ca_topic_score_codex":0.0046058586,"about_ca_topic_score_gemma":0.0036582297,"teacher_disagreement_score":0.0046058586,"about_ca_system_score_codex":0.000345557,"about_ca_system_score_gemma":0.00028568268,"threshold_uncertainty_score":0.0124697685},"labels":[],"label_agreement":null},{"id":"W1488247520","doi":"10.1111/deci.12093","title":"Producing Synergy: Innovation, IT, and Productivity","year":2014,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Calgary; Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Productivity; Industrial organization; Stock (firearms); Investment (military); Business; Information technology; Economics; Computer science; Economic growth; Engineering","score_opus":0.06242734571149087,"score_gpt":0.26598441216865876,"score_spread":0.2035570664571679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1488247520","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":[0.98043126,0.0007100512,0.0022268186,0.0011461603,0.000011942306,0.00001787029,0.00028343996,0.000023144694,0.015149276],"genre_scores_gemma":[0.99912435,0.00016858349,0.00019327398,0.000027784447,0.00001584264,0.000005326962,0.000053993932,0.0000011242638,0.0004096813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988564,0.00045295493,0.0000650587,0.00014804573,0.00023275743,0.00024482986],"domain_scores_gemma":[0.9779604,0.012943062,0.0056438535,0.00057822524,0.00086404785,0.002010315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016914182,0.00036005845,0.00039996294,0.0025400356,0.0005241225,0.0028148538,0.0003205078,0.000682139,0.0073608416],"category_scores_gemma":[0.009532434,0.00015499655,0.0004962154,0.002778222,0.0013378902,0.0015414021,0.0019392468,0.0007955616,0.00052751583],"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":[0.00024233172,0.00043837735,0.9138465,0.00015203394,0.0005565728,0.00051205483,0.0005180196,0.02171747,0.0012271976,0.017536966,0.0013787408,0.041873775],"study_design_scores_gemma":[0.00008570855,0.00044580735,0.91186535,0.00020831756,0.0005396924,0.0002844747,0.002371135,0.01973371,0.0018352781,0.056698892,0.005888952,0.000042586904],"about_ca_topic_score_codex":0.0030138716,"about_ca_topic_score_gemma":0.002847206,"teacher_disagreement_score":0.0073608416,"about_ca_system_score_codex":0.0012443562,"about_ca_system_score_gemma":0.0011351272,"threshold_uncertainty_score":0.024624467},"labels":[],"label_agreement":null},{"id":"W1488310347","doi":"","title":"\"Productivity Issues in Canada\": A Review Article","year":2002,"lang":"en","type":"review","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Productivity; Theme (computing); Economics; Perspective (graphical); Volume (thermodynamics); Regional science; Macroeconomics; Sociology; Mathematics; Computer science","score_opus":0.08877901544778724,"score_gpt":0.31804782182979763,"score_spread":0.2292688063820104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1488310347","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005736828,0.99650323,0.000019298812,0.0017216173,0.00088442233,0.0000026752448,0.000024940317,0.0000024810256,0.00078386074],"genre_scores_gemma":[0.00058623217,0.99702686,0.000041137315,0.0010535914,0.0005166534,0.0000034189923,0.000029532712,0.0000013150877,0.00074114715],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989058,0.00009152148,0.00007273287,0.000120372824,0.0006837748,0.00012576598],"domain_scores_gemma":[0.996396,0.0005053185,0.00023143731,0.000026657495,0.0025371467,0.00030349792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014093557,0.0011747943,0.0022900226,0.0065743322,0.0017471038,0.0043580164,0.0014896692,0.0023156714,0.0036784792],"category_scores_gemma":[0.0037435368,0.0004128298,0.0005995267,0.021833817,0.0014859042,0.002336337,0.00094276416,0.002059164,0.0012279938],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008587715,0.00005988432,0.0006069661,0.022618365,0.000092120354,0.00028208914,0.00032907652,0.00028112598,0.00043235996,0.0053145746,0.47847372,0.4914239],"study_design_scores_gemma":[0.000009377519,0.000024826883,0.0022825138,0.008613629,0.000092729395,0.0003850839,0.0003379908,0.000037558573,0.000085689055,0.0006610269,0.9874441,0.000025576841],"about_ca_topic_score_codex":0.4216949,"about_ca_topic_score_gemma":0.57105094,"teacher_disagreement_score":0.5783051,"about_ca_system_score_codex":0.016036391,"about_ca_system_score_gemma":0.051935013,"threshold_uncertainty_score":0.8384807},"labels":[],"label_agreement":null},{"id":"W1488404605","doi":"","title":"Ten Productivity Puzzles Facing Researchers","year":2004,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; History; Macroeconomics","score_opus":0.07609243966896423,"score_gpt":0.29691856009881895,"score_spread":0.22082612042985472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1488404605","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019626843,0.04737378,0.00505211,0.88897526,0.002945743,0.000021915717,0.00023755657,0.000073103336,0.035693713],"genre_scores_gemma":[0.5939092,0.13329963,0.015889676,0.19127731,0.023135414,0.0003439138,0.00066365127,0.00025204633,0.04122904],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9878256,0.0051964913,0.0006769608,0.0018243124,0.00292569,0.001550959],"domain_scores_gemma":[0.92986923,0.049340714,0.004121212,0.0039443434,0.008693766,0.004030669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031803932,0.0009123738,0.0011631077,0.004356883,0.006170129,0.01427578,0.0023141494,0.007426225,0.0068668923],"category_scores_gemma":[0.07556202,0.000649627,0.00087350456,0.009337951,0.016027832,0.014779442,0.0073571806,0.009620722,0.0017335279],"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":[0.00016337393,0.000116416406,0.0075794947,0.00042464247,0.00008031548,0.00035317318,0.010807136,0.0012220831,0.00021193858,0.7529439,0.13305053,0.09304699],"study_design_scores_gemma":[0.000068116664,0.000034781297,0.0023178402,0.00053422415,0.000020526779,0.00012089123,0.012118502,0.00082644116,0.00013188738,0.8274172,0.15636648,0.000042980148],"about_ca_topic_score_codex":0.006725359,"about_ca_topic_score_gemma":0.0060963165,"teacher_disagreement_score":0.031803932,"about_ca_system_score_codex":0.011574221,"about_ca_system_score_gemma":0.009156496,"threshold_uncertainty_score":0.16819727},"labels":[],"label_agreement":null},{"id":"W1488424467","doi":"10.17016/bulletin.2002.88-10","title":"An Investigation of Co-movements among the Growth Rates of the G-7 Countries","year":2002,"lang":"en","type":"article","venue":"Federal Reserve Bulletin","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":70,"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":"Recession; Economics; Quarter (Canadian coin); Speculation; Emerging markets; International economics; Business cycle; Current account; Economy; Monetary economics; Macroeconomics; Exchange rate; Geography","score_opus":0.039128787431679836,"score_gpt":0.22713585969596178,"score_spread":0.18800707226428195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1488424467","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":[0.992485,0.00040572058,0.00021311309,0.0003817933,0.000015785974,0.000011555865,0.00094360264,0.000014459192,0.005529001],"genre_scores_gemma":[0.99743867,0.0003942016,0.0001865475,0.000043817683,0.000021936448,0.00000740011,0.0013581602,0.000006907206,0.0005424696],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992274,0.00018685442,0.000067734094,0.00016461514,0.00017046274,0.0001828983],"domain_scores_gemma":[0.99208176,0.002256014,0.0033098178,0.00037572344,0.0015549238,0.0004217199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013326051,0.00018993064,0.00023364254,0.0038569937,0.00039940726,0.0018422104,0.0002737718,0.0004913742,0.0011753131],"category_scores_gemma":[0.0062098317,0.00014947537,0.00046458293,0.0065872935,0.00036469175,0.0008657776,0.00091228593,0.00079389283,0.00046893628],"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":[0.00007986083,0.0000233929,0.9850087,0.000026798132,0.00010588713,0.00020837005,0.0009838114,0.00065525516,0.00023427026,0.0015234674,0.0012288886,0.009921274],"study_design_scores_gemma":[0.0000032338612,0.000031096133,0.9948716,0.000017654946,0.000022858441,0.00010051923,0.0014432892,0.001060931,0.00013845022,0.00020410788,0.0020976767,0.000008653617],"about_ca_topic_score_codex":0.015910333,"about_ca_topic_score_gemma":0.01445262,"teacher_disagreement_score":0.015910333,"about_ca_system_score_codex":0.0007412332,"about_ca_system_score_gemma":0.0007464083,"threshold_uncertainty_score":0.031635463},"labels":[],"label_agreement":null},{"id":"W1489441941","doi":"","title":"Nouvelle economie: utilisation de l'architecture de la comptabilite nationale pour estimer l'importance de l'economie de haute technologie","year":2007,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Humanities; Political science; Art","score_opus":0.05044080318092376,"score_gpt":0.3138234469323771,"score_spread":0.26338264375145337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1489441941","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":[0.5981058,0.0026791322,0.27883705,0.0034848424,0.0001300285,0.0006284332,0.021518134,0.0016865334,0.09293003],"genre_scores_gemma":[0.9221775,0.00078053604,0.06166628,0.00016047068,0.000022162796,0.0002559067,0.0054530594,0.00013629963,0.009347658],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996027,0.0008965785,0.00019741144,0.0009620957,0.0014877976,0.00042911628],"domain_scores_gemma":[0.98692024,0.0043412787,0.0014883861,0.0013367827,0.0056035635,0.00030969802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00634405,0.00064537453,0.0008646235,0.004509397,0.001609968,0.005092,0.0011761513,0.0006145372,0.004707745],"category_scores_gemma":[0.019535923,0.0005098075,0.0012991002,0.007957142,0.0013931043,0.0021089832,0.0013216389,0.0011077811,0.00082544546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024095435,0.000059920767,0.658462,0.00044003062,0.0009778509,0.00009158853,0.0020018013,0.12309748,0.0019166437,0.07000578,0.006403211,0.13630275],"study_design_scores_gemma":[0.000025480354,0.00013277805,0.60294497,0.0003135448,0.00037778763,0.00010093064,0.002055733,0.3155567,0.0036224006,0.032048237,0.042682268,0.00013911104],"about_ca_topic_score_codex":0.8176527,"about_ca_topic_score_gemma":0.776651,"teacher_disagreement_score":0.8176527,"about_ca_system_score_codex":0.015954988,"about_ca_system_score_gemma":0.019647095,"threshold_uncertainty_score":0.36684233},"labels":[],"label_agreement":null},{"id":"W1490230727","doi":"10.51847/uzi0wxsmmk","title":"10.51847/uzI0wXSMmK","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Human capital; Gross domestic product; Life expectancy; Economics; Physical capital; Capital deepening; Ordinary least squares; Gross fixed capital formation; Capital formation; Capital Consumption Allowance; Financial capital; Economic growth; Development economics; Population","score_opus":0.014138397932561685,"score_gpt":0.16090493423419866,"score_spread":0.14676653630163697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1490230727","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0048565455,0.0019040637,0.0034576857,0.0018344035,0.0015552992,0.00025494304,0.003483313,0.0032562143,0.9793975],"genre_scores_gemma":[0.011688981,0.0014089025,0.004138419,0.00066749234,0.00024937096,0.00017746829,0.0034638182,0.00062578963,0.9775798],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992488,0.0001322308,0.00009228363,0.0001865269,0.00022905029,0.00011108158],"domain_scores_gemma":[0.9985536,0.00028707957,0.00013438785,0.0002811607,0.0004631297,0.00028065307],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009781828,0.0010839646,0.0008015136,0.0029010812,0.001103468,0.0041870684,0.0009931504,0.002002181,0.9222666],"category_scores_gemma":[0.0021863563,0.0004249304,0.00070754625,0.002980354,0.0007678775,0.0024678302,0.0031762316,0.0011995907,0.91969764],"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":[0.00017685967,0.0002127179,0.0025981495,0.00054896495,0.000021690461,0.00022430367,0.00017341756,0.000325931,0.0021384435,0.0065695047,0.19780177,0.7892084],"study_design_scores_gemma":[0.000033441276,0.000076751356,0.0034373289,0.0004488144,0.000014373604,0.000334048,0.00021785188,0.00059616065,0.0007332908,0.0027918436,0.9912815,0.000034459277],"about_ca_topic_score_codex":0.002895258,"about_ca_topic_score_gemma":0.0015938925,"teacher_disagreement_score":0.0777334,"about_ca_system_score_codex":0.0009444135,"about_ca_system_score_gemma":0.0010967855,"threshold_uncertainty_score":0.110877156},"labels":[],"label_agreement":null},{"id":"W1490758084","doi":"","title":"Capital Humano y Crecimiento Económico en México (1970-2000). Human Capital and Economic Growth in Mexico","year":2004,"lang":"es","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Human capital; Per capita income; Welfare economics; Per capita; Geography; Economics; Economy; Political science; Humanities; Population; Economic growth; Demography; Sociology","score_opus":0.028935775990216638,"score_gpt":0.2765325796656617,"score_spread":0.24759680367544507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1490758084","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":[0.9839393,0.0025833154,0.00027461152,0.0009140925,0.000014196443,0.000012904749,0.0028639503,0.000010655322,0.009387009],"genre_scores_gemma":[0.9922025,0.0019859346,0.00036590028,0.000032726974,0.00001996047,0.000018661463,0.0014640347,0.0000034197517,0.0039068144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999187,0.000012197624,0.0000032852636,0.000016943253,0.000012453524,0.000036465663],"domain_scores_gemma":[0.99949193,0.00011138551,0.00022640533,0.000016598047,0.000091311726,0.00006239229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041731595,0.00011988574,0.00013445603,0.0013830806,0.00051531574,0.00071546866,0.00020926165,0.00025671354,0.0018597036],"category_scores_gemma":[0.0012710086,0.00009006697,0.00018320161,0.0021739658,0.00027349603,0.00046343464,0.00044633518,0.00035279914,0.00010703943],"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":[0.00016131799,0.00007044034,0.9439815,0.00010831938,0.00008463925,0.00021786851,0.0036042384,0.0037894226,0.00016596912,0.009661585,0.004680551,0.03347407],"study_design_scores_gemma":[0.000006072098,0.000022519182,0.9875547,0.0000601065,0.000042051473,0.00004255674,0.001752068,0.0006913187,0.000109015826,0.00043747516,0.009278048,0.000003867701],"about_ca_topic_score_codex":0.3255458,"about_ca_topic_score_gemma":0.31575614,"teacher_disagreement_score":0.3255458,"about_ca_system_score_codex":0.0027228233,"about_ca_system_score_gemma":0.0015510427,"threshold_uncertainty_score":0.6473018},"labels":[],"label_agreement":null},{"id":"W1490960783","doi":"10.1023/a:1007851024735","title":"A General Procedure to Recover the Marginal Products of a Cost Minimizing Firm","year":2000,"lang":"en","type":"article","venue":"Journal of Productivity Analysis","topic":"Economic Growth and Productivity","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 Alberta; Université du Québec à Montréal","funders":"","keywords":"Measure (data warehouse); Returns to scale; Function (biology); Econometrics; Economics; Production (economics); Inverse; Scale (ratio); Mathematical economics; Computer science; Mathematical optimization; Mathematics; Microeconomics; Data mining","score_opus":0.02845384852420816,"score_gpt":0.22667968148755535,"score_spread":0.1982258329633472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1490960783","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":[0.0031805993,0.00010902865,0.9942134,0.00015827142,0.000033304033,0.00006516356,0.00013125304,0.0001525172,0.001956518],"genre_scores_gemma":[0.078419656,0.0004064817,0.908501,0.0001225089,0.00012557258,0.000386883,0.00042516424,0.00034183814,0.011270847],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996,0.00013910838,0.000029563558,0.00008802663,0.000091146365,0.00005218778],"domain_scores_gemma":[0.9988205,0.00065256044,0.0000623235,0.00023099416,0.00018424157,0.00004950322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019160695,0.00104204,0.00095447473,0.0016090516,0.00078237895,0.0011907637,0.0019491221,0.0016546572,0.012766572],"category_scores_gemma":[0.006567158,0.0007501796,0.0015948708,0.0016448199,0.0011727537,0.0019051307,0.0017758462,0.0024071762,0.0027212014],"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":[0.00010229331,0.000173257,0.0009356806,0.0003235842,0.00014798343,0.0002884164,0.00023305665,0.20072658,0.015404658,0.5461433,0.01016871,0.22535254],"study_design_scores_gemma":[0.00005253336,0.000062538886,0.0011548206,0.00006195435,0.00008513704,0.00030761212,0.00006744445,0.6000695,0.006292537,0.3753189,0.016465502,0.00006133665],"about_ca_topic_score_codex":0.0045247255,"about_ca_topic_score_gemma":0.0069836453,"teacher_disagreement_score":0.012766572,"about_ca_system_score_codex":0.00082789455,"about_ca_system_score_gemma":0.0024662134,"threshold_uncertainty_score":0.042708457},"labels":[],"label_agreement":null},{"id":"W1491079875","doi":"","title":"Retombees de productivite associees a la redistribution concurrentielle: donnees sur les etablissements de fabrication canadiens","year":2009,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Humanities; Political science; Art","score_opus":0.0379929985682891,"score_gpt":0.27711190503272554,"score_spread":0.23911890646443643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1491079875","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":[0.98203766,0.0045553558,0.0058887787,0.00006904418,0.00001638303,0.00006817604,0.0011765556,0.00007379444,0.0061142165],"genre_scores_gemma":[0.9795156,0.003278842,0.006562695,0.000055615576,0.000011306988,0.00010397674,0.0011061444,0.00006417488,0.009301715],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980286,0.00023340642,0.00013679707,0.0005190216,0.0008937605,0.00018841338],"domain_scores_gemma":[0.99507564,0.0022985209,0.0011425065,0.00028336004,0.0011127988,0.00008723623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018828168,0.00063582114,0.0005965519,0.0026727887,0.0010135996,0.0020147706,0.0005385369,0.00065048697,0.0048776115],"category_scores_gemma":[0.0034947796,0.0004579229,0.0010131143,0.0043411143,0.0007195138,0.00082592224,0.0005646815,0.00055426697,0.0008294371],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012532194,0.0001741539,0.3198095,0.0022000298,0.000373192,0.0010215094,0.004880249,0.0064309407,0.52450615,0.00072145247,0.00046463255,0.13816501],"study_design_scores_gemma":[0.000012032315,0.00071009755,0.74143136,0.00015961866,0.00042271896,0.0009469597,0.00290337,0.0015095819,0.22388528,0.00033929804,0.0275885,0.000091140035],"about_ca_topic_score_codex":0.022769416,"about_ca_topic_score_gemma":0.042984426,"teacher_disagreement_score":0.9772306,"about_ca_system_score_codex":0.0016968425,"about_ca_system_score_gemma":0.0011874145,"threshold_uncertainty_score":0.04527378},"labels":[],"label_agreement":null},{"id":"W1492310815","doi":"","title":"Outward-Orientation and Economic Growth in Developing Countries: A Quarter-Century Perspective","year":2006,"lang":"en","type":"article","venue":"Economia Internazionale / International Economics","topic":"Economic Growth and Productivity","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":"Orientation (vector space); Contrast (vision); Econometrics; Economics; Pooling; Liberian dollar; Developing country; Quarter (Canadian coin); Demographic economics; Demography; Mathematics; Geography; Economic growth","score_opus":0.01117130152858088,"score_gpt":0.21486020399547046,"score_spread":0.2036889024668896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1492310815","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":[0.6485893,0.24446148,0.003994097,0.010747707,0.00041976187,0.000018254597,0.00196876,0.00003672779,0.08976397],"genre_scores_gemma":[0.8703681,0.12310102,0.0017399807,0.00048612335,0.0006366494,0.000012579034,0.00067915063,0.000016150074,0.0029601837],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998272,0.00005815211,0.000019752944,0.000022618933,0.00002574688,0.000046483237],"domain_scores_gemma":[0.9987921,0.00034191777,0.00051004416,0.000059634902,0.00015598432,0.00014028518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008135712,0.00029376047,0.00030590224,0.0037918214,0.00043497165,0.0022933718,0.00018776841,0.00033687524,0.0021333324],"category_scores_gemma":[0.0013736187,0.00010208235,0.00036778866,0.0054400777,0.0010629669,0.0020793858,0.00090575806,0.0010439353,0.00018790274],"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":[0.00032475375,0.000126324,0.67143375,0.0007163898,0.00028913494,0.0011605156,0.004648235,0.004107003,0.0008485154,0.16703299,0.006168518,0.14314386],"study_design_scores_gemma":[0.0000109837865,0.00013665952,0.84213907,0.00071573205,0.0001310637,0.0008430505,0.0058850823,0.0031105685,0.00086638023,0.036281705,0.10982486,0.000054800275],"about_ca_topic_score_codex":0.0070527773,"about_ca_topic_score_gemma":0.0075585316,"teacher_disagreement_score":0.0070527773,"about_ca_system_score_codex":0.0010313847,"about_ca_system_score_gemma":0.0005218989,"threshold_uncertainty_score":0.014023483},"labels":[],"label_agreement":null},{"id":"W1493859373","doi":"","title":"From Productivity to Well-Being: Keep the Focus on Basic Skills","year":2005,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Productivity; Focus (optics); Business; Psychology; Computer science; Economics; Economic growth","score_opus":0.021875957714950087,"score_gpt":0.26008541280143,"score_spread":0.2382094550864799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1493859373","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007922194,0.01649713,0.0016041563,0.93372136,0.003736431,0.0000137876705,0.000063356354,0.00004092604,0.036400583],"genre_scores_gemma":[0.6204358,0.041401826,0.003439188,0.29569542,0.007921984,0.000101614554,0.000090503534,0.00012241052,0.030791376],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983728,0.0003997518,0.000051878582,0.00019875167,0.00054321723,0.00043358523],"domain_scores_gemma":[0.99276394,0.0027651733,0.00036593678,0.00022116397,0.0017574333,0.0021264032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021823104,0.00062074704,0.0009725856,0.0014141802,0.004242298,0.010029271,0.0011540625,0.004952547,0.0052401214],"category_scores_gemma":[0.0075778584,0.00023814925,0.0004013379,0.0011463484,0.013635451,0.007925882,0.004466599,0.012570718,0.0009979698],"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":[0.00017478166,0.00024169097,0.012052737,0.00088686275,0.000116127274,0.0005843115,0.012480426,0.0005759366,0.000874012,0.3895476,0.35499614,0.22746943],"study_design_scores_gemma":[0.00006523659,0.0002619957,0.045125674,0.0022785505,0.00008626199,0.00034214015,0.017693158,0.00044051107,0.0007985165,0.44457942,0.48819676,0.00013175706],"about_ca_topic_score_codex":0.047923356,"about_ca_topic_score_gemma":0.08563545,"teacher_disagreement_score":0.047923356,"about_ca_system_score_codex":0.008634678,"about_ca_system_score_gemma":0.008702935,"threshold_uncertainty_score":0.09528881},"labels":[],"label_agreement":null},{"id":"W1493927949","doi":"","title":"Business Sector Productivity in Canada: What Do We Know?","year":2008,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Prosperity; Multifactor productivity; Business sector; Order (exchange); Economics; Business; Industrial organization; Total factor productivity; Economic growth; Economy; Finance","score_opus":0.03122528603576151,"score_gpt":0.20611543413592964,"score_spread":0.17489014810016812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1493927949","genre_codex":"review","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":[0.063506655,0.52311903,0.0016927649,0.32624578,0.003426122,0.0001228805,0.033063058,0.00040117392,0.048422545],"genre_scores_gemma":[0.43856314,0.5223369,0.0026657043,0.014723475,0.0017447986,0.000080653896,0.011241447,0.00014164991,0.008502265],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9935308,0.00029898828,0.00037417153,0.0005811681,0.0035369743,0.0016779619],"domain_scores_gemma":[0.95555574,0.004336905,0.0026451973,0.0005383431,0.031868245,0.005055499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046711178,0.001117145,0.001607394,0.008153155,0.0051956275,0.008562321,0.0024725655,0.001748523,0.0081317285],"category_scores_gemma":[0.024565715,0.00056299183,0.0012105105,0.023636583,0.0033152748,0.0050409134,0.0018704276,0.0036304458,0.0014607211],"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":[0.00023083585,0.00015977795,0.1863667,0.0067165988,0.00040013329,0.0003011951,0.0038023193,0.0015427829,0.00019726435,0.013777183,0.25966343,0.52684164],"study_design_scores_gemma":[0.00006413563,0.00008652297,0.6306272,0.010304375,0.00050886284,0.00032071944,0.011744472,0.0025869051,0.00054502033,0.005507251,0.33740997,0.0002945592],"about_ca_topic_score_codex":0.9963967,"about_ca_topic_score_gemma":0.9962997,"teacher_disagreement_score":0.13253777,"about_ca_system_score_codex":0.13253777,"about_ca_system_score_gemma":0.27070612,"threshold_uncertainty_score":0.9616333},"labels":[],"label_agreement":null},{"id":"W1494911417","doi":"10.2139/ssrn.515922","title":"Education, Governance and Trade-Related Technology Diffusion in Latin America","year":2004,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Carleton University","funders":"","keywords":"Latin Americans; Corporate governance; Diffusion; International trade; Business; Political science; Economic geography; Economics; Finance; Physics","score_opus":0.006938604894847111,"score_gpt":0.19647322568830372,"score_spread":0.18953462079345662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1494911417","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":[0.9882796,0.0018609108,0.0003366263,0.0031431906,0.000008679761,0.0000070389856,0.0001823297,0.000011679093,0.0061698877],"genre_scores_gemma":[0.9978902,0.0007768796,0.00006975017,0.00010627671,0.000017920433,0.000004016472,0.000102884595,0.0000028707495,0.0010292204],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976784,0.000072459574,0.00001351973,0.000036917783,0.000019927124,0.00008947614],"domain_scores_gemma":[0.9949739,0.0021640188,0.0019173125,0.00014579142,0.0003039487,0.00049490883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010882439,0.00013907054,0.00030450412,0.0011791004,0.00047731397,0.0021837396,0.0002466391,0.0007425429,0.0048795626],"category_scores_gemma":[0.00553226,0.00010472577,0.00025375324,0.003035622,0.0010628662,0.0014671409,0.0009716543,0.00074073434,0.00017640236],"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":[0.00023654157,0.00025466524,0.9324419,0.00010522368,0.00011492726,0.00038395074,0.002717503,0.004661277,0.0005152655,0.03844355,0.0016545643,0.018470641],"study_design_scores_gemma":[0.00010112687,0.00007251147,0.9587065,0.00013692881,0.0001225845,0.00014196325,0.005111201,0.004790952,0.00033801634,0.023263495,0.0071978555,0.000016794806],"about_ca_topic_score_codex":0.046161313,"about_ca_topic_score_gemma":0.040961765,"teacher_disagreement_score":0.046161313,"about_ca_system_score_codex":0.0015021232,"about_ca_system_score_gemma":0.0010880531,"threshold_uncertainty_score":0.09178525},"labels":[],"label_agreement":null},{"id":"W1495814398","doi":"10.3386/w14750","title":"The Internet and Local Wages: Convergence or Divergence?","year":2009,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Convergence (economics); Divergence (linguistics); The Internet; Economics; Mathematics; Computer science; World Wide Web; Economic growth","score_opus":0.33955771073573776,"score_gpt":0.4403233998596539,"score_spread":0.10076568912391615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1495814398","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":[0.9870853,0.0012762487,0.0005419812,0.002497516,0.000018665416,0.000005794188,0.00030730502,0.000008401952,0.008258723],"genre_scores_gemma":[0.9991509,0.00020265563,0.00006622903,0.00007703186,0.00002679299,0.0000032660716,0.0001082659,0.0000050782255,0.0003597843],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927396,0.00025129147,0.000035243316,0.0001328649,0.00010431829,0.00020232447],"domain_scores_gemma":[0.9962316,0.0012869227,0.0011197925,0.00025272445,0.00051333883,0.00059569016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012321572,0.00012768866,0.00050183776,0.0015067748,0.000449646,0.001608451,0.0004901448,0.00043974482,0.005631763],"category_scores_gemma":[0.00702753,0.00016430166,0.00033380854,0.002763606,0.0010097475,0.0016252269,0.0016429948,0.000956797,0.00063477486],"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":[0.00014608508,0.00016439783,0.9535557,0.000070628856,0.00015323884,0.00014901892,0.0034274645,0.0010075304,0.00016392957,0.0063706893,0.0013771007,0.0334142],"study_design_scores_gemma":[0.000011221535,0.000043007803,0.98883307,0.000081266604,0.000048318692,0.00006040062,0.004829341,0.0011907859,0.000057947276,0.0032987497,0.001536841,0.0000089399355],"about_ca_topic_score_codex":0.014041198,"about_ca_topic_score_gemma":0.017577155,"teacher_disagreement_score":0.014041198,"about_ca_system_score_codex":0.000555097,"about_ca_system_score_gemma":0.00031490746,"threshold_uncertainty_score":0.027918935},"labels":[],"label_agreement":null},{"id":"W1496144377","doi":"","title":"Evaluating the Eleventh District's Beige Book","year":2000,"lang":"en","type":"preprint","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"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":"Eleventh; Quarter (Canadian coin); State (computer science); Economic indicator; Product (mathematics); Economics; Geography; Computer science; Mathematics","score_opus":0.10068143767146566,"score_gpt":0.28882193462156375,"score_spread":0.1881404969500981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1496144377","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5710292,0.0037000428,0.005905275,0.0068028406,0.00076114305,0.00026739636,0.019047488,0.0009407009,0.39154604],"genre_scores_gemma":[0.86644626,0.0016896942,0.0058556274,0.0006793667,0.00017264186,0.00013032288,0.018766226,0.00025690906,0.106003],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99704427,0.00041501014,0.00012307953,0.0002015737,0.002000913,0.00021503028],"domain_scores_gemma":[0.9681054,0.01281952,0.0025742298,0.0015577055,0.01350164,0.001441512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032999418,0.00025332224,0.0003718026,0.0031503458,0.0010710413,0.0064526037,0.0006977784,0.00060588104,0.01830176],"category_scores_gemma":[0.03026061,0.00026502326,0.00020603019,0.0041554663,0.00071743916,0.003731272,0.0013094255,0.0008727638,0.0041039577],"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":[0.00059451896,0.0003825418,0.30648738,0.00032479034,0.000084237174,0.0005062243,0.0021192709,0.013849702,0.0007321459,0.08741737,0.36938018,0.21812163],"study_design_scores_gemma":[0.000054298955,0.00052518025,0.3453285,0.00033216068,0.00009556876,0.00032963016,0.00763759,0.01380707,0.005152053,0.010365906,0.61616695,0.00020508576],"about_ca_topic_score_codex":0.041270487,"about_ca_topic_score_gemma":0.05488202,"teacher_disagreement_score":0.041270487,"about_ca_system_score_codex":0.00499773,"about_ca_system_score_gemma":0.002913677,"threshold_uncertainty_score":0.082060575},"labels":[],"label_agreement":null},{"id":"W1496257709","doi":"","title":"Accounting for Canada's Economic Growth: A GE Approach","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Slowdown; Economics; Growth accounting; Productivity; Investment (military); Econometrics; Endogenous growth theory; Total factor productivity; General equilibrium theory; Technological change; Growth model; Residual; Macroeconomics; Mathematics; Market economy; Human capital","score_opus":0.04860690598884763,"score_gpt":0.2676993732390402,"score_spread":0.21909246725019257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1496257709","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":[0.27879992,0.017434971,0.3938696,0.031455677,0.0009706383,0.0006695893,0.036665443,0.0025164187,0.23761787],"genre_scores_gemma":[0.8971871,0.010014601,0.05601732,0.00055360206,0.00015945715,0.00016849599,0.006260977,0.00024164541,0.029396752],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990408,0.00012822894,0.000029889496,0.00015109942,0.0004337479,0.00021618433],"domain_scores_gemma":[0.9986494,0.0002475299,0.00010593798,0.00011994035,0.00079306925,0.00008404707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014123719,0.0011265025,0.00079861656,0.003526589,0.0018839083,0.0034647982,0.0015662503,0.00071114086,0.003378373],"category_scores_gemma":[0.005281066,0.00046481902,0.0010218365,0.005502449,0.00088031177,0.0017868783,0.0012928729,0.0012836845,0.00032150798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005961334,0.000033054246,0.02649511,0.00021153194,0.00028673818,0.00031453717,0.0003691646,0.43241403,0.0005664164,0.42369634,0.029456947,0.086096495],"study_design_scores_gemma":[0.00003568197,0.000025629191,0.030750217,0.00019180727,0.00017962711,0.00010205663,0.0006682533,0.7201746,0.00073475944,0.15511353,0.0918952,0.00012867094],"about_ca_topic_score_codex":0.9815685,"about_ca_topic_score_gemma":0.96734905,"teacher_disagreement_score":0.036219332,"about_ca_system_score_codex":0.036219332,"about_ca_system_score_gemma":0.04525547,"threshold_uncertainty_score":0.26279086},"labels":[],"label_agreement":null},{"id":"W1496343661","doi":"","title":"Potential Product: Quantitative Analysis for the Czech Republic","year":2000,"lang":"en","type":"article","venue":"Bulletin of the Czech Econometric Society","topic":"Economic Growth and Productivity","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":"Czech; Inflation (cosmology); Economics; Transitive relation; Production (economics); Product (mathematics); State space; Econometrics; Component (thermodynamics); Output gap; Product topology; Macroeconomic model; Space (punctuation); Point (geometry); Monetary policy; Macroeconomics; Computer science; Mathematics","score_opus":0.032689176490821,"score_gpt":0.2225754744527069,"score_spread":0.18988629796188589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1496343661","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":[0.35401493,0.007192252,0.5139251,0.0011590644,0.0001590477,0.00022038356,0.004538929,0.0005741562,0.118216194],"genre_scores_gemma":[0.9689999,0.0009755451,0.025518607,0.000041085514,0.00003141546,0.00009195625,0.00057557516,0.00011963051,0.003646208],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992725,0.00020448747,0.00006877284,0.0001373503,0.00024213556,0.00007470776],"domain_scores_gemma":[0.998862,0.0003936896,0.0002793771,0.00016066931,0.00024482983,0.00005943422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001485987,0.00027599916,0.00028169437,0.002754523,0.00050059345,0.0019560738,0.0004090325,0.0002455209,0.004340051],"category_scores_gemma":[0.004512945,0.00016761007,0.000786807,0.0023155326,0.0011829332,0.0015486305,0.0009096451,0.0006483297,0.00044973128],"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":[0.000047221332,0.000018255098,0.004045595,0.00033421913,0.000060598068,0.00010398472,0.00026311935,0.048227698,0.0030662757,0.9092435,0.001622134,0.032967493],"study_design_scores_gemma":[0.000035943725,0.00011094203,0.04478015,0.0002645747,0.00008956435,0.00044386098,0.00068917766,0.22679557,0.0042327167,0.65148723,0.07089298,0.00017733016],"about_ca_topic_score_codex":0.008156796,"about_ca_topic_score_gemma":0.0031202056,"teacher_disagreement_score":0.008156796,"about_ca_system_score_codex":0.0016354371,"about_ca_system_score_gemma":0.0011927396,"threshold_uncertainty_score":0.016218662},"labels":[],"label_agreement":null},{"id":"W1499870897","doi":"","title":"Training as a Human Resource Strategy: The Response to Staff Shortages and Technological Change","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Training (meteorology); Economic shortage; Business; Resource (disambiguation); Technological change; Marketing; Operations management; Engineering; Economics; Computer science","score_opus":0.15781629900302577,"score_gpt":0.3359794155012697,"score_spread":0.17816311649824393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1499870897","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":[0.9789843,0.0005613944,0.0023008753,0.005597649,0.00008996266,0.000064119275,0.00006152685,0.000027824437,0.012312286],"genre_scores_gemma":[0.99772364,0.00010084296,0.0003628253,0.00039931264,0.00004165092,0.000033188393,0.000024135561,0.0000042117595,0.0013101982],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9951584,0.0023360318,0.00022560757,0.00032041702,0.0006438777,0.0013156292],"domain_scores_gemma":[0.98011565,0.0075664255,0.0053648106,0.0006451241,0.0015162146,0.0047918037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059167,0.0002407294,0.0002627188,0.0010778105,0.00113543,0.0016172818,0.00087103614,0.0013915395,0.0046966355],"category_scores_gemma":[0.023672916,0.00020060554,0.00021300145,0.0006144541,0.0012219487,0.0011046487,0.002457362,0.00078670203,0.00046965136],"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":[0.0009478488,0.001099325,0.7600029,0.0005961778,0.00014270288,0.001479775,0.022519348,0.0058061364,0.00684519,0.011739613,0.005926109,0.18289475],"study_design_scores_gemma":[0.000101385915,0.0017490028,0.9054869,0.00025508986,0.000035942834,0.00070161396,0.058921315,0.0055699935,0.001200205,0.00977693,0.016148835,0.0000527926],"about_ca_topic_score_codex":0.0024962374,"about_ca_topic_score_gemma":0.0030615912,"teacher_disagreement_score":0.0059167,"about_ca_system_score_codex":0.0014910245,"about_ca_system_score_gemma":0.0020308914,"threshold_uncertainty_score":0.03129089},"labels":[],"label_agreement":null},{"id":"W1500035715","doi":"10.3386/w20037","title":"The (Changing) Knowledge Production Function: Evidence from the MIT Department of Biology for 1970-2000","year":2014,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Production (economics); Function (biology); Knowledge production; Biology; Computer science; Knowledge management; Evolutionary biology; Economics","score_opus":0.3971096750956151,"score_gpt":0.45231682065836354,"score_spread":0.055207145562748416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1500035715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95941746,0.0061959527,0.00060852076,0.0037124965,0.00004091917,0.00001831286,0.020222055,0.0000911628,0.009693127],"genre_scores_gemma":[0.98078626,0.002924977,0.0002740858,0.0002716713,0.00013404452,0.000028002027,0.011539833,0.000022995473,0.004018102],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986066,0.00024022514,0.00013121103,0.00035964831,0.00040096464,0.00026139384],"domain_scores_gemma":[0.94433147,0.01663095,0.027750948,0.0023378578,0.0048537236,0.0040950323],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0029331623,0.00029406816,0.00040047345,0.005619373,0.00056862517,0.0018404016,0.00077793625,0.0007002962,0.004572336],"category_scores_gemma":[0.02438189,0.00025920174,0.0003438683,0.009432507,0.0007150161,0.0017846914,0.0013917821,0.00073348655,0.0019985845],"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":[0.0001906733,0.00010745204,0.9656001,0.0001154231,0.00011034702,0.00016342844,0.00088600186,0.0007280015,0.00019644525,0.0010580699,0.010042174,0.020801904],"study_design_scores_gemma":[0.0000053559766,0.000026395039,0.9959486,0.00002471963,0.00002362415,0.000044984296,0.00022398264,0.00022119356,0.000104966835,0.00012273471,0.0032489714,0.0000045220286],"about_ca_topic_score_codex":0.046384018,"about_ca_topic_score_gemma":0.056109864,"teacher_disagreement_score":0.99706686,"about_ca_system_score_codex":0.0021858113,"about_ca_system_score_gemma":0.0012387199,"threshold_uncertainty_score":0.092228055},"labels":[],"label_agreement":null},{"id":"W1500094604","doi":"","title":"Croissance de la productivite a long terme dans le secteur de la fabrication au Canada et aux Etats-Unis, 1961 a 2003","year":2007,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.022969991964471956,"score_gpt":0.2854081038232009,"score_spread":0.26243811185872895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1500094604","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":[0.95347023,0.0060029635,0.0010960217,0.00063671725,0.00003569084,0.000056272496,0.009298289,0.000062971616,0.02934079],"genre_scores_gemma":[0.9515037,0.0048234942,0.001503776,0.00014046118,0.000016310285,0.000049961716,0.005070605,0.000030800602,0.03686089],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99889153,0.00003702615,0.000030668223,0.0002123861,0.00048686788,0.00034142163],"domain_scores_gemma":[0.99675626,0.00022378599,0.0005351637,0.00011104929,0.0019327375,0.0004409094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009487334,0.0004355743,0.0003096056,0.0033279036,0.0020453734,0.0024896672,0.0006249725,0.0003093949,0.0039172377],"category_scores_gemma":[0.0015733496,0.00024330891,0.00055111124,0.006131603,0.001026744,0.0005575027,0.0006785409,0.00078744674,0.0003790142],"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":[0.0008443464,0.00009584735,0.82917506,0.00043470858,0.0003170366,0.00045565062,0.009191256,0.002983254,0.0076957624,0.009409328,0.0048157587,0.13458207],"study_design_scores_gemma":[0.0000037818163,0.00004858359,0.9717504,0.00008851734,0.000039460458,0.000044466466,0.0025476674,0.00022856469,0.0014255837,0.00012733691,0.023672003,0.000023521401],"about_ca_topic_score_codex":0.9469217,"about_ca_topic_score_gemma":0.9746619,"teacher_disagreement_score":0.053078294,"about_ca_system_score_codex":0.028406203,"about_ca_system_score_gemma":0.028883068,"threshold_uncertainty_score":0.20610237},"labels":[],"label_agreement":null},{"id":"W1500403533","doi":"10.7202/800723ar","title":"La nature du progrès technique et la substitution des facteurs dans les pays en voie de développement","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Substitution (logic); Economics; Elasticity of substitution; Technological change; Scope (computer science); Welfare economics; Microeconomics; Production (economics); Macroeconomics; Computer science","score_opus":0.0359397777655204,"score_gpt":0.26590162872595025,"score_spread":0.22996185096042984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1500403533","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":[0.37704343,0.037947048,0.3004194,0.023968598,0.00063827046,0.00010025793,0.0005694344,0.00016639708,0.25914717],"genre_scores_gemma":[0.87272424,0.018924426,0.053124204,0.00055042835,0.00047929195,0.00018159303,0.00016471515,0.00008599717,0.053765077],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99522406,0.0023813478,0.00018256155,0.00056784856,0.0012718616,0.000372336],"domain_scores_gemma":[0.99215287,0.005498304,0.0008846351,0.00063803676,0.0006045496,0.00022163785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052613937,0.0005187231,0.00061485067,0.0030531161,0.001501321,0.006039081,0.0007520234,0.0016475737,0.0057208105],"category_scores_gemma":[0.01135053,0.00049301813,0.0011131713,0.004125126,0.0047774184,0.0061107012,0.0012584548,0.0027754412,0.0008104842],"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":[0.000047100733,0.000017691738,0.004304705,0.000077149234,0.000025248935,0.0001739633,0.0013557284,0.004063053,0.0005347787,0.9618655,0.0003517084,0.027183421],"study_design_scores_gemma":[0.00006401504,0.0001906425,0.023488754,0.0003524377,0.00006646647,0.0016335509,0.0020935377,0.019493818,0.0027892203,0.7579853,0.19172652,0.000115698356],"about_ca_topic_score_codex":0.012338493,"about_ca_topic_score_gemma":0.010364982,"teacher_disagreement_score":0.012338493,"about_ca_system_score_codex":0.004306389,"about_ca_system_score_gemma":0.0027972814,"threshold_uncertainty_score":0.031245172},"labels":[],"label_agreement":null},{"id":"W1501020281","doi":"10.7202/027729ar","title":"Research Activities of the Economic and Research Branch of the Canadian Department of Labor","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Economic Growth and Productivity","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":true,"route_about_ca":true,"ca_institutions":"","funders":"International Labour Organization","keywords":"Regional science; Field (mathematics); Economics; Geography; Mathematics","score_opus":0.08687896002768036,"score_gpt":0.2897049938099975,"score_spread":0.20282603378231712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1501020281","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":[0.04717184,0.023121335,0.0046123476,0.14736533,0.008225011,0.0016541135,0.14333814,0.0010733078,0.6234386],"genre_scores_gemma":[0.16447791,0.034254357,0.009462666,0.0051290267,0.0007865692,0.00038746305,0.036757704,0.0003569395,0.7483873],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.98574334,0.0008702966,0.0004529366,0.0009868465,0.009118969,0.0028276674],"domain_scores_gemma":[0.944941,0.0029655634,0.001583004,0.0014806192,0.03941369,0.009616063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005971275,0.0007254342,0.0010343203,0.006765828,0.007658978,0.004135804,0.0017667171,0.0010453301,0.0581355],"category_scores_gemma":[0.015086226,0.0005115843,0.00057129853,0.0137413135,0.0015335527,0.0016266056,0.0013878702,0.0017001072,0.010533986],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014145822,0.000090782254,0.048447378,0.000627812,0.00006082975,0.0001541098,0.0018272513,0.0002832022,0.0008732597,0.023018705,0.73166746,0.1928077],"study_design_scores_gemma":[0.000014373628,0.000038047714,0.1108665,0.00028850662,0.00005076593,0.000070925664,0.0035885207,0.00040601532,0.00064168125,0.00086596404,0.88311714,0.000051441457],"about_ca_topic_score_codex":0.9806732,"about_ca_topic_score_gemma":0.98767287,"teacher_disagreement_score":0.9319467,"about_ca_system_score_codex":0.06805333,"about_ca_system_score_gemma":0.2355715,"threshold_uncertainty_score":0.49376374},"labels":[],"label_agreement":null},{"id":"W1501748104","doi":"","title":"Guide de l'utilisateur pour le Programme annuel de la productivite multifactorielle de Statistique Canada","year":2007,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"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":"Humanities; Political science; Philosophy","score_opus":0.034074987590003256,"score_gpt":0.2921468773266482,"score_spread":0.2580718897366449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1501748104","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035540704,0.0034529956,0.7762116,0.004192483,0.00085968286,0.00198022,0.046696093,0.044206977,0.11884589],"genre_scores_gemma":[0.010528378,0.003175602,0.8728824,0.00084386894,0.00014363369,0.0020246375,0.019179298,0.011545173,0.07967696],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99199414,0.0017055093,0.00052686536,0.00053912814,0.00491394,0.00032047468],"domain_scores_gemma":[0.9612353,0.013412759,0.00073164335,0.0022828504,0.021705866,0.0006316427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013027643,0.0012477706,0.0011747999,0.0059775636,0.0014355903,0.005396732,0.0030983516,0.0011263717,0.09200835],"category_scores_gemma":[0.04418697,0.0016116834,0.0017811499,0.006988921,0.0010675453,0.0019468507,0.0015418063,0.0031989007,0.046326585],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015970916,0.000118003074,0.0038385617,0.0013521927,0.0001436561,0.00022250484,0.0013767547,0.010427971,0.003710215,0.05768346,0.43876854,0.48219836],"study_design_scores_gemma":[0.00008923829,0.000034022185,0.0054149926,0.0009716164,0.000047098834,0.00013937593,0.000259603,0.01327922,0.0024761704,0.008023783,0.96914667,0.00011824757],"about_ca_topic_score_codex":0.554864,"about_ca_topic_score_gemma":0.56531715,"teacher_disagreement_score":0.99101716,"about_ca_system_score_codex":0.008982834,"about_ca_system_score_gemma":0.042362858,"threshold_uncertainty_score":0.895515},"labels":[],"label_agreement":null},{"id":"W1501766125","doi":"10.2139/ssrn.1403384","title":"The Growth and Development of New Economy Industries","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Statistics Canada","funders":"","keywords":"Business; Industrial organization; Economics; Economic system","score_opus":0.021882871058928482,"score_gpt":0.19380135528278344,"score_spread":0.17191848422385497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1501766125","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":[0.84361124,0.010932486,0.0040952666,0.0177137,0.00037215353,0.00007630256,0.0055585224,0.000106338666,0.11753395],"genre_scores_gemma":[0.97921675,0.0066970647,0.00048732804,0.00019491029,0.00023530901,0.000016719127,0.0010183168,0.000009406186,0.012124273],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967265,0.000074591204,0.00002014626,0.000032798587,0.00012308886,0.00007671752],"domain_scores_gemma":[0.99565446,0.0016655652,0.0010894282,0.00012788648,0.0008552187,0.0006074202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000900632,0.00018377985,0.00017867256,0.0018860662,0.00042731178,0.0026822954,0.00023547302,0.00069118344,0.0047813286],"category_scores_gemma":[0.008408333,0.00010764602,0.00022517597,0.0029846134,0.00064769015,0.0031780996,0.00092760765,0.0008799017,0.0006213857],"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":[0.00031413793,0.00024694527,0.6293218,0.00039613887,0.00009316698,0.0009496019,0.0016466622,0.015147667,0.0009891861,0.18950735,0.031965684,0.12942167],"study_design_scores_gemma":[0.00004406225,0.00015068564,0.7230074,0.00024941715,0.00008405351,0.00047660904,0.005138865,0.027983973,0.0019602983,0.11383219,0.12703578,0.000036654867],"about_ca_topic_score_codex":0.016938623,"about_ca_topic_score_gemma":0.027301634,"teacher_disagreement_score":0.016938623,"about_ca_system_score_codex":0.0017137921,"about_ca_system_score_gemma":0.0017663521,"threshold_uncertainty_score":0.03368008},"labels":[],"label_agreement":null},{"id":"W1502422229","doi":"10.5539/ijef.v7n7p131","title":"Does Tertiary Enrolment Cause Growth in Nigeria? A Vector Auto Regression Mechanism","year":2015,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Granger causality; Causality (physics); Government (linguistics); Vector autoregression; Economics; Higher education; Tertiary sector of the economy; Tertiary level; Empirical research; Regression analysis; Economic growth; Development economics; Macroeconomics; Economy; Econometrics; Statistics; Mathematics; Mathematics education","score_opus":0.024679194592284962,"score_gpt":0.2262989334891553,"score_spread":0.20161973889687035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1502422229","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":[0.9757966,0.0014036474,0.005264667,0.005936362,0.00016759383,0.0000637025,0.000434883,0.00008852528,0.010844049],"genre_scores_gemma":[0.996594,0.00057433534,0.00022961947,0.00009862389,0.000044397093,0.000007911916,0.00011015855,0.0000046183172,0.0023362492],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946135,0.0001660852,0.00004516315,0.00013714717,0.00005453631,0.00013564971],"domain_scores_gemma":[0.99536884,0.0026563157,0.0012074703,0.00019741557,0.0003207563,0.00024924794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017376281,0.0003708846,0.00053084665,0.0010111415,0.00043223248,0.0018575541,0.00036827897,0.0008647404,0.0076035983],"category_scores_gemma":[0.005432928,0.0002967307,0.00086372264,0.00076645997,0.0010627345,0.0009540579,0.00083268544,0.0010473497,0.00081446796],"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":[0.00039571477,0.00025546903,0.92478985,0.0001560052,0.00027612044,0.0021596043,0.00079075014,0.008087125,0.001570927,0.028790195,0.0025297948,0.030198421],"study_design_scores_gemma":[0.00011675085,0.00036375117,0.82105654,0.00031729863,0.00057317637,0.0012000888,0.003325634,0.12454396,0.0018127802,0.041150756,0.005459485,0.00007979313],"about_ca_topic_score_codex":0.015873672,"about_ca_topic_score_gemma":0.0077342615,"teacher_disagreement_score":0.015873672,"about_ca_system_score_codex":0.00067956623,"about_ca_system_score_gemma":0.0010823229,"threshold_uncertainty_score":0.031562567},"labels":[],"label_agreement":null},{"id":"W1502666521","doi":"10.34989/swp-2007-7","title":"Technology Shocks and Business Cycles: The Role of Processing Stages and Nominal Rigidities","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Université du Québec à Montréal","funders":"","keywords":"Linkage (software); Economics; Business cycle; Face (sociological concept); General equilibrium theory; Econometrics; Stage (stratigraphy); Macroeconomics; Monetary economics","score_opus":0.014945123143988059,"score_gpt":0.20614685175119735,"score_spread":0.1912017286072093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1502666521","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":[0.75739455,0.0016405379,0.21243502,0.003011121,0.00007805891,0.000091467824,0.0010200466,0.00019904091,0.02413015],"genre_scores_gemma":[0.9854456,0.0012976453,0.00502621,0.00009989518,0.00004470401,0.000031983756,0.00031101514,0.00004192639,0.0077009196],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974805,0.00007630957,0.000012453108,0.000058602895,0.000039550316,0.00006512398],"domain_scores_gemma":[0.999062,0.00045828606,0.00029858068,0.000074557014,0.000043937533,0.00006259713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006568801,0.0005822218,0.0007446901,0.0006238751,0.00035136676,0.003072132,0.0006797192,0.0014864907,0.0034489448],"category_scores_gemma":[0.0037748574,0.0005835153,0.0007114313,0.0012633571,0.0009133923,0.0022649816,0.0008286222,0.0010926682,0.00066557067],"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":[0.00012715487,0.000057525154,0.011967654,0.00004665283,0.000044408524,0.00017119975,0.00013114166,0.8421651,0.0011847955,0.13213085,0.00077342556,0.011200102],"study_design_scores_gemma":[0.00007168883,0.00007588859,0.010684998,0.000037874393,0.00004308693,0.00007605661,0.000106183084,0.823624,0.0006606744,0.15963571,0.004924367,0.000059468406],"about_ca_topic_score_codex":0.008953377,"about_ca_topic_score_gemma":0.0040938086,"teacher_disagreement_score":0.008953377,"about_ca_system_score_codex":0.0010690662,"about_ca_system_score_gemma":0.0008539736,"threshold_uncertainty_score":0.017802477},"labels":[],"label_agreement":null},{"id":"W1502677236","doi":"10.7202/601027ar","title":"Investissements américains directs et compétitivité technologique européenne","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"International trade; Technology transfer; Position (finance); Indigenous; Production (economics); Business; International economics; Economic geography; Political science; Economics; Economy; Finance; Macroeconomics","score_opus":0.06436456749674624,"score_gpt":0.24023652450404362,"score_spread":0.17587195700729738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1502677236","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":[0.3484455,0.061303772,0.003965335,0.010558942,0.000586348,0.00003969887,0.0018261123,0.00021752689,0.5730568],"genre_scores_gemma":[0.90179896,0.029758703,0.0035437415,0.00061434024,0.00057792227,0.0000454818,0.0011976524,0.00004145488,0.062421743],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987073,0.00033158902,0.000059580834,0.00019755571,0.00047720366,0.00022687792],"domain_scores_gemma":[0.99767536,0.0008592828,0.0004174269,0.00014451113,0.00065338,0.00024997184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002222436,0.0005223592,0.00035961988,0.0027354353,0.00065586757,0.0058140117,0.00021937428,0.0006361327,0.0068677804],"category_scores_gemma":[0.0039525977,0.00012614625,0.00037760212,0.004021235,0.0008646189,0.0013408585,0.0008115956,0.0012453935,0.00097128924],"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":[0.00034005762,0.00018996942,0.100137986,0.0003351965,0.0001914663,0.00034125266,0.002143278,0.005049979,0.0021163083,0.5206667,0.014800531,0.35368723],"study_design_scores_gemma":[0.00008959064,0.00018404453,0.1835092,0.0005060889,0.00012088989,0.0006989934,0.0012212427,0.0017742796,0.0023498652,0.020781191,0.78872496,0.000039651935],"about_ca_topic_score_codex":0.059444122,"about_ca_topic_score_gemma":0.03586568,"teacher_disagreement_score":0.059444122,"about_ca_system_score_codex":0.0049153264,"about_ca_system_score_gemma":0.004413846,"threshold_uncertainty_score":0.11819625},"labels":[],"label_agreement":null},{"id":"W1503715591","doi":"","title":"Accounting for Growth in the Information Age","year":2005,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"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":"Productivity; Investment (military); Economics; Order (exchange); International comparisons; National accounts; Business; Macroeconomics; Economic growth; Finance; Political science","score_opus":0.027098774456991454,"score_gpt":0.20344967466055677,"score_spread":0.1763509002035653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1503715591","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":[0.20829834,0.06913828,0.07990551,0.070901185,0.0030347235,0.000142054,0.012033153,0.0017578353,0.554789],"genre_scores_gemma":[0.9228409,0.03742316,0.009136477,0.0009565876,0.0018912173,0.00008257763,0.003616113,0.00017305311,0.023879869],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979613,0.0004179497,0.00013380148,0.0002512317,0.00095333747,0.00028229208],"domain_scores_gemma":[0.99020785,0.003023689,0.0021943287,0.0014226995,0.0025503815,0.00060112274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023149622,0.00070490193,0.00039310518,0.006787778,0.0008403931,0.006006527,0.00077433145,0.0008456808,0.0045435703],"category_scores_gemma":[0.016566394,0.00022068903,0.00048299774,0.0150319515,0.0019293157,0.015824338,0.0030889031,0.0021770368,0.0015733015],"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":[0.00003483068,0.000035749414,0.055185217,0.00023726614,0.00005775308,0.00024307883,0.0015796458,0.009465053,0.00021634916,0.6917983,0.050193045,0.19095376],"study_design_scores_gemma":[0.0000067942483,0.00003347948,0.04231053,0.0004340768,0.00005438844,0.00023258255,0.0024024383,0.02466536,0.00072959246,0.6355399,0.29353696,0.000053897245],"about_ca_topic_score_codex":0.02008291,"about_ca_topic_score_gemma":0.010698717,"teacher_disagreement_score":0.02008291,"about_ca_system_score_codex":0.0035367718,"about_ca_system_score_gemma":0.0038864235,"threshold_uncertainty_score":0.039932072},"labels":[],"label_agreement":null},{"id":"W1504036229","doi":"","title":"Explaining Productivity Growth: The Role of Demographics","year":2005,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Productivity; Economics; Demographics; Context (archaeology); Technological change; Labour economics; Period (music); Demographic economics; Macroeconomics; Geography; Sociology","score_opus":0.03178325631603795,"score_gpt":0.2565773005223381,"score_spread":0.22479404420630017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1504036229","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":[0.78090703,0.021673162,0.052853934,0.05311376,0.00065671187,0.000103214865,0.0025803004,0.00036838546,0.08774352],"genre_scores_gemma":[0.9858511,0.00688421,0.0010887597,0.00041386267,0.00044562438,0.000022247226,0.0004398482,0.000030297137,0.004824068],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997056,0.00009851408,0.000009715269,0.00004968739,0.000032406322,0.00010392377],"domain_scores_gemma":[0.9961408,0.0022549413,0.0006891519,0.00021468448,0.00030145713,0.00039897184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011602035,0.0006440099,0.0004386076,0.0016274529,0.00058631174,0.002625018,0.00052528386,0.001003447,0.0049404176],"category_scores_gemma":[0.008670033,0.00023513222,0.00055317103,0.002048433,0.0011805064,0.0028492052,0.0012002295,0.0015148838,0.0013881333],"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":[0.0001345708,0.00012905386,0.5455441,0.00040142675,0.00023190184,0.00072843634,0.0023406139,0.061118707,0.00072478555,0.21160556,0.023342187,0.1536987],"study_design_scores_gemma":[0.00006033021,0.00010892286,0.23208752,0.00027639867,0.00011974833,0.00030984942,0.003069877,0.08160545,0.0004847121,0.62402225,0.057770137,0.00008490942],"about_ca_topic_score_codex":0.011985467,"about_ca_topic_score_gemma":0.0065361992,"teacher_disagreement_score":0.011985467,"about_ca_system_score_codex":0.0012291763,"about_ca_system_score_gemma":0.0007222136,"threshold_uncertainty_score":0.023831427},"labels":[],"label_agreement":null},{"id":"W1505436823","doi":"10.1787/101477551445","title":"Measurement of Output, Value Added, GDP in Canada and the United States","year":2003,"lang":"en","type":"paratext","venue":"OECD statistics working papers","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Value (mathematics); Environmental science; Agricultural economics; Statistics; Econometrics; Economics; Mathematics","score_opus":0.03196236676835755,"score_gpt":0.19731249552463068,"score_spread":0.16535012875627314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1505436823","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48105907,0.013922562,0.0031964371,0.004046714,0.00036958154,0.0002585875,0.18214741,0.0005832959,0.3144163],"genre_scores_gemma":[0.88536036,0.013035056,0.0074983994,0.0003710262,0.000077799654,0.00021289993,0.057199456,0.00012838058,0.0361167],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.997177,0.0001742032,0.00014035328,0.00016418306,0.0020424183,0.0003017589],"domain_scores_gemma":[0.99326795,0.00039050353,0.00038899653,0.00008768918,0.005577576,0.00028730906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001233231,0.00041630992,0.00029014674,0.012567505,0.0024240655,0.003507998,0.0008457369,0.00021665082,0.0023088478],"category_scores_gemma":[0.0069791228,0.0001583909,0.0002423837,0.04189516,0.0009713869,0.00092611474,0.0009080496,0.0005461583,0.0005010076],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023387518,0.00013727476,0.5626659,0.00074814155,0.00019301182,0.00048416687,0.008540514,0.004752829,0.0012638732,0.06345237,0.16846378,0.18906432],"study_design_scores_gemma":[0.000007804673,0.000021726983,0.88507444,0.00028176355,0.00003553277,0.00012174728,0.006424074,0.0012620183,0.00095767464,0.0010588832,0.10469444,0.00005996564],"about_ca_topic_score_codex":0.99485636,"about_ca_topic_score_gemma":0.9948068,"teacher_disagreement_score":0.053625286,"about_ca_system_score_codex":0.053625286,"about_ca_system_score_gemma":0.04532839,"threshold_uncertainty_score":0.38908052},"labels":[],"label_agreement":null},{"id":"W1505557403","doi":"","title":"Recent Productivity Developments in Canada and the United States: Productivity Growth Deceleration versus Acceleration","year":2004,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":9,"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":"Productivity; Economics; Sustainability; Economic geography; Labour economics; Demographic economics; Development economics; Macroeconomics","score_opus":0.04951269365279213,"score_gpt":0.25722899075420547,"score_spread":0.20771629710141334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1505557403","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":[0.83184046,0.040294338,0.00049598725,0.048082143,0.00074591575,0.000046251796,0.016346138,0.00013551507,0.062013276],"genre_scores_gemma":[0.96899456,0.018938227,0.00028221577,0.0016515595,0.00019937803,0.00001300444,0.0048690657,0.00002406384,0.0050279927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834645,0.000057814737,0.000076126686,0.0001176281,0.0006117176,0.0007902583],"domain_scores_gemma":[0.98971856,0.00038923117,0.0013334473,0.0001164785,0.0065694945,0.0018728201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012725804,0.00033195456,0.00042828318,0.006019181,0.0031807218,0.004325906,0.00081203104,0.0008417407,0.003289252],"category_scores_gemma":[0.0063418476,0.0002354847,0.00041351828,0.01566601,0.0013148686,0.0014677262,0.001650373,0.0018866827,0.00042035236],"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":[0.00054671057,0.00013542117,0.76277006,0.0004594679,0.00024074141,0.00073341053,0.0069913175,0.0019638469,0.00051442994,0.016612038,0.062615916,0.14641663],"study_design_scores_gemma":[0.000013303558,0.000032909295,0.93925273,0.00018718872,0.000050872764,0.000122026824,0.0058621806,0.0005165335,0.00029199998,0.0005869475,0.05303835,0.000044936394],"about_ca_topic_score_codex":0.98269,"about_ca_topic_score_gemma":0.9868329,"teacher_disagreement_score":0.04389597,"about_ca_system_score_codex":0.04389597,"about_ca_system_score_gemma":0.046328902,"threshold_uncertainty_score":0.31848907},"labels":[],"label_agreement":null},{"id":"W1508512048","doi":"","title":"CEECs on Track for Economic Growth","year":2000,"lang":"en","type":"article","venue":"WIFO Monatsberichte (monthly reports)","topic":"Economic Growth and Productivity","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":"Economics; Depreciation (economics); Inflation (cosmology); Currency; Quarter (Canadian coin); Recession; Real gross domestic product; International economics; Geography; Monetary economics; Market economy; Macroeconomics","score_opus":0.02117920582178592,"score_gpt":0.20898816863142092,"score_spread":0.187808962809635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1508512048","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":[0.0053830277,0.016455479,0.0020345773,0.10513195,0.054689594,0.00041832382,0.022639193,0.0027029437,0.7905449],"genre_scores_gemma":[0.048606865,0.024830379,0.009781518,0.021359086,0.005252796,0.0009960221,0.0395149,0.0016884693,0.84796995],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99832386,0.00016879318,0.0000911817,0.00015323206,0.00075105415,0.0005118351],"domain_scores_gemma":[0.9951108,0.00011512603,0.00035978327,0.00038726893,0.0020576485,0.0019693263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031312408,0.0012562099,0.0007146386,0.0021694843,0.0014758952,0.008197507,0.0015995137,0.0031342637,0.12598416],"category_scores_gemma":[0.007544831,0.00022774497,0.00050078845,0.002997468,0.0005238334,0.0054414943,0.0060489294,0.0042687836,0.1088426],"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":[0.000049801485,0.000030100133,0.0004495362,0.00014055282,0.0000057948987,0.00007610996,0.000027812066,0.000068860405,0.00010184677,0.011482532,0.92012745,0.06743959],"study_design_scores_gemma":[0.000008804629,0.000015295824,0.001602784,0.00014734191,0.0000021339617,0.000046382378,0.000050074654,0.000049452767,0.000093332725,0.001151033,0.9968285,0.000004886751],"about_ca_topic_score_codex":0.008407025,"about_ca_topic_score_gemma":0.005106471,"teacher_disagreement_score":0.12598416,"about_ca_system_score_codex":0.0025144327,"about_ca_system_score_gemma":0.013672987,"threshold_uncertainty_score":0.42145902},"labels":[],"label_agreement":null},{"id":"W1508749666","doi":"","title":"Is Distance Dying at Last","year":2008,"lang":"en","type":"preprint","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Skepticism; Quarter (Canadian coin); Economics; Positive economics; Neoclassical economics; History; Epistemology; Philosophy","score_opus":0.08896765779007425,"score_gpt":0.3423160554774507,"score_spread":0.25334839768737644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1508749666","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06758788,0.06225143,0.010291498,0.5717658,0.010097607,0.00003823899,0.0010996815,0.0003643496,0.27650353],"genre_scores_gemma":[0.8281715,0.030114697,0.0021876008,0.09505467,0.005593095,0.000051099487,0.00052537833,0.00052476936,0.037777167],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99416983,0.0019060897,0.00028356552,0.0012460166,0.0012099562,0.0011845683],"domain_scores_gemma":[0.9843635,0.0062655183,0.0014991158,0.0023407228,0.0028671015,0.002664025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063967584,0.00040898105,0.0010697595,0.0019712106,0.005260755,0.012259144,0.0016389599,0.0068717627,0.0373954],"category_scores_gemma":[0.036995176,0.00035514106,0.0006783333,0.0023559725,0.018623602,0.027755488,0.007941303,0.007937942,0.008214967],"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":[0.00015616618,0.00005037759,0.005098594,0.00036367495,0.000067535824,0.00042358245,0.007825071,0.00034422122,0.00019949685,0.79224706,0.09318335,0.10004093],"study_design_scores_gemma":[0.000027524322,0.000051260628,0.0027354232,0.0004524589,0.000024173703,0.00056151836,0.007675856,0.00014801243,0.00022963255,0.5718865,0.41615644,0.00005114212],"about_ca_topic_score_codex":0.0047508716,"about_ca_topic_score_gemma":0.0035712402,"teacher_disagreement_score":0.0373954,"about_ca_system_score_codex":0.0042274203,"about_ca_system_score_gemma":0.0026033523,"threshold_uncertainty_score":0.12510002},"labels":[],"label_agreement":null},{"id":"W1509209935","doi":"","title":"Prosperite, productivite : une comparaison Canada-Australie","year":2003,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.054656679270980967,"score_gpt":0.28102686730732207,"score_spread":0.2263701880363411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1509209935","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":[0.8466699,0.04211775,0.0026162504,0.005161462,0.00023323366,0.00013322092,0.0128327105,0.00009361257,0.09014185],"genre_scores_gemma":[0.9619199,0.01620005,0.0032160014,0.000612062,0.000079860634,0.00006398875,0.0025964133,0.00008025199,0.015231615],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982008,0.00016732536,0.00007890898,0.00021459938,0.0008651592,0.0004732029],"domain_scores_gemma":[0.9938338,0.0014624367,0.0009232639,0.00019670044,0.0027761667,0.0008075951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015239771,0.0005864646,0.00094881066,0.0067216493,0.0026625672,0.004199439,0.0006540262,0.00051734346,0.0065676146],"category_scores_gemma":[0.00449791,0.00024935708,0.00072082254,0.022159174,0.0015400281,0.0011834607,0.0015879907,0.0011071207,0.00033578105],"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":[0.0009060402,0.00013995815,0.7177787,0.0019542838,0.001213101,0.00082868314,0.023099588,0.0018431863,0.002327535,0.044992205,0.013805631,0.19111104],"study_design_scores_gemma":[0.00003071393,0.000075097836,0.9381244,0.00044208558,0.00023132512,0.00020373001,0.008373152,0.00035663816,0.0004351478,0.0015916476,0.050080806,0.000055242122],"about_ca_topic_score_codex":0.97449875,"about_ca_topic_score_gemma":0.9867901,"teacher_disagreement_score":0.025501251,"about_ca_system_score_codex":0.020150945,"about_ca_system_score_gemma":0.03784229,"threshold_uncertainty_score":0.14620602},"labels":[],"label_agreement":null},{"id":"W1509615389","doi":"","title":"Technology Spillovers and Trade:Empirical Evidence for the G7 Industrial Countries","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Proxy (statistics); Economics; International trade; Market share; Revealed comparative advantage; Comparative advantage; Unit (ring theory); Manufacturing sector; Manufacturing; International economics; Econometrics; Business; Industrial organization; Statistics","score_opus":0.1969434433489053,"score_gpt":0.3467228422057307,"score_spread":0.1497793988568254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1509615389","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":[0.9941288,0.001320409,0.0006866576,0.00019936581,0.0000063158695,0.000019872921,0.00032113458,0.0000313492,0.0032861766],"genre_scores_gemma":[0.9976422,0.0008868022,0.00023313722,0.000050741397,0.000012897077,0.0000095221585,0.0007562242,0.000007455817,0.00040108085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993013,0.0002560864,0.00003281196,0.00012949787,0.00006656646,0.00021378482],"domain_scores_gemma":[0.99130976,0.0052514216,0.0020445273,0.0004374497,0.0003606952,0.0005961765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021129136,0.0006357863,0.000977261,0.0026631372,0.00076604454,0.0017234285,0.0007597618,0.0009923134,0.005755243],"category_scores_gemma":[0.0047458033,0.00031363856,0.0018194001,0.0028216077,0.0014024796,0.0011293547,0.0017855784,0.00093640503,0.00072446704],"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":[0.0011465424,0.00029194794,0.92054427,0.00026027876,0.0014528458,0.0019099964,0.0008907269,0.042290024,0.00073918473,0.0078053284,0.0015572518,0.021111624],"study_design_scores_gemma":[0.00047622804,0.0010267708,0.8957087,0.00030547968,0.0019720516,0.00090355496,0.004035108,0.07944869,0.0013077166,0.008986823,0.005741923,0.00008702144],"about_ca_topic_score_codex":0.042298764,"about_ca_topic_score_gemma":0.02966519,"teacher_disagreement_score":0.042298764,"about_ca_system_score_codex":0.0011365165,"about_ca_system_score_gemma":0.0010098442,"threshold_uncertainty_score":0.084105134},"labels":[],"label_agreement":null},{"id":"W1510307262","doi":"10.2139/ssrn.2008611","title":"The Sustainability of Chinese Growth and the Aggregate Factor Substitution Elasticity","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"Western University; Centre for International Governance Innovation","funders":"","keywords":"Substitution (logic); Elasticity of substitution; Sustainability; Economics; Elasticity (physics); Aggregate (composite); Microeconomics; Materials science; Production (economics); Computer science; Composite material","score_opus":0.007923964858601262,"score_gpt":0.20471015298398562,"score_spread":0.19678618812538437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1510307262","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":[0.990261,0.00047579664,0.00080070697,0.00063176017,0.000017849727,0.000004376838,0.00018942576,0.000013990449,0.0076050363],"genre_scores_gemma":[0.99932516,0.00016029451,0.0000461198,0.000012373889,0.000012208393,0.0000011929538,0.000060774655,0.0000020028467,0.0003800072],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980634,0.000031093892,0.00001997485,0.00005060638,0.000039292456,0.00005268166],"domain_scores_gemma":[0.99842584,0.0005543295,0.0004586783,0.00016859788,0.00026835702,0.00012412142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008266636,0.00022378904,0.0002699307,0.001120119,0.00042160603,0.0013151779,0.00019607363,0.00030782903,0.0024134202],"category_scores_gemma":[0.002969393,0.00011179126,0.00035290714,0.0017205077,0.00092808646,0.0015953432,0.00065884873,0.00041985957,0.00016974854],"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":[0.00024434613,0.000046049667,0.8374213,0.000117372445,0.00015675121,0.0010006187,0.0017257858,0.02076581,0.0026693002,0.095841296,0.0015571807,0.038454104],"study_design_scores_gemma":[0.000018071587,0.00006996618,0.9121476,0.000025623985,0.00015100393,0.0002824048,0.0016982865,0.03159109,0.0015621574,0.048429478,0.003970686,0.000053651744],"about_ca_topic_score_codex":0.01989667,"about_ca_topic_score_gemma":0.014897635,"teacher_disagreement_score":0.01989667,"about_ca_system_score_codex":0.0014258669,"about_ca_system_score_gemma":0.0012459458,"threshold_uncertainty_score":0.03956169},"labels":[],"label_agreement":null},{"id":"W1511560990","doi":"10.1108/03068290210413047","title":"Growth and equity in microstates","year":2002,"lang":"en","type":"article","venue":"International Journal of Social Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Per capita; Turkish; Equity (law); Economics; Per capita income; Population; Econometrics; Development economics; Demography; Political science; Sociology; Law","score_opus":0.04300614475327785,"score_gpt":0.2599045354976081,"score_spread":0.21689839074433026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1511560990","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":[0.916812,0.001328372,0.00647161,0.0019154707,0.000041897118,0.000018267729,0.00024658872,0.000025232772,0.07314058],"genre_scores_gemma":[0.9969844,0.00020647515,0.0001346267,0.000023307583,0.000021748336,0.0000045884062,0.00004045277,0.000002716032,0.0025816928],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997601,0.00005240293,0.000010684301,0.000038248527,0.000038755934,0.000099826124],"domain_scores_gemma":[0.9984438,0.0004245063,0.0005253824,0.00008268504,0.00025887875,0.00026480743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043118655,0.00011432007,0.00017099273,0.0009653465,0.0006026344,0.0017015364,0.00020433539,0.00032965955,0.0064412327],"category_scores_gemma":[0.0025727372,0.00004991886,0.0001432533,0.0010341165,0.0016600317,0.0018082897,0.0015168244,0.00051709695,0.00020984767],"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":[0.000087582375,0.000040470713,0.06266799,0.00003215407,0.000022401777,0.00058038585,0.000860291,0.0077709216,0.00047334036,0.893265,0.0024103997,0.031789042],"study_design_scores_gemma":[0.000022218455,0.000089153786,0.09594867,0.000064742046,0.000018865678,0.0007286603,0.002244208,0.025055943,0.0006195016,0.84975153,0.025437392,0.000019154437],"about_ca_topic_score_codex":0.004404688,"about_ca_topic_score_gemma":0.0039537377,"teacher_disagreement_score":0.0064412327,"about_ca_system_score_codex":0.0011884634,"about_ca_system_score_gemma":0.0004532082,"threshold_uncertainty_score":0.021548092},"labels":[],"label_agreement":null},{"id":"W1512500872","doi":"","title":"Depreciation Estimation, R&D Capital Stock, and North American Manufacturing Productivity Growth","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Total factor productivity; Depreciation (economics); Output elasticity; Stock (firearms); Capital (architecture); Productivity; Cost of capital; Monetary economics; Estimation; Solow residual; Manufacturing; Growth accounting; Econometrics; Labour economics; Production (economics); Macroeconomics; Capital formation; Human capital; Financial capital; Microeconomics; Business; Geography","score_opus":0.02819296769994071,"score_gpt":0.2583869151829899,"score_spread":0.2301939474830492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1512500872","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":[0.98572063,0.00090234954,0.0009588104,0.00023118098,0.0000074411296,0.000006040441,0.0031391492,0.000061144856,0.008973265],"genre_scores_gemma":[0.99343985,0.000592491,0.00029854212,0.000025900867,0.000008540662,0.0000061457035,0.003480535,0.0000071358477,0.0021408168],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998098,0.000024825904,0.000009948945,0.000033837463,0.00006566718,0.000055995628],"domain_scores_gemma":[0.99865025,0.00032062238,0.0003792616,0.000081859784,0.00048518242,0.00008274079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037565627,0.00019100994,0.00012275275,0.0018611718,0.00021602047,0.00040812988,0.00023353475,0.000113212016,0.0014490188],"category_scores_gemma":[0.0020698416,0.000096951626,0.00031424675,0.0024644076,0.00021773575,0.0002775664,0.00022998556,0.0002686352,0.0003025615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092122835,0.000033244112,0.95198464,0.00004429757,0.000087617154,0.00011594133,0.00027666902,0.013198789,0.00054206734,0.002118997,0.005304864,0.026200786],"study_design_scores_gemma":[0.000003258829,0.000009122579,0.98727894,0.00001122728,0.00003031279,0.000060287686,0.00021320849,0.0058768936,0.0005817126,0.00030072808,0.0056273867,0.000006927007],"about_ca_topic_score_codex":0.5357278,"about_ca_topic_score_gemma":0.511487,"teacher_disagreement_score":0.5357278,"about_ca_system_score_codex":0.0023739506,"about_ca_system_score_gemma":0.0009908415,"threshold_uncertainty_score":0.9340128},"labels":[],"label_agreement":null},{"id":"W1512626786","doi":"","title":"The Contribution of ICT-Producing and ICT-Using Industries to Productivity Growth: A Comparison of Canada, Europe and the United States","year":2003,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":59,"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":"Information and Communications Technology; Productivity; Business; Agricultural economics; Economics; Economic growth; Political science","score_opus":0.042662193474416826,"score_gpt":0.2676204767560238,"score_spread":0.22495828328160697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1512626786","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":[0.8883166,0.02243157,0.00053328526,0.008105472,0.00018158433,0.000038795937,0.00441218,0.000056497196,0.07592411],"genre_scores_gemma":[0.9861574,0.008059462,0.0002604251,0.0003763675,0.000034391214,0.000007728418,0.0017728178,0.000015239615,0.0033161542],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99821424,0.000100289435,0.00005826569,0.00011434456,0.0006342403,0.0008786408],"domain_scores_gemma":[0.9972972,0.00022192145,0.0002970589,0.000047434554,0.0015585561,0.00057774776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007921997,0.00035470675,0.0003753749,0.0069116103,0.0021754217,0.0034810747,0.00046337725,0.0004390443,0.0017650973],"category_scores_gemma":[0.0032562858,0.00018541924,0.00065539486,0.0132657895,0.00092535705,0.00068169326,0.0018208295,0.0007355325,0.0001677383],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007952714,0.000083507184,0.77664876,0.00045361105,0.0007913759,0.0011729543,0.00457215,0.004623542,0.0012504916,0.025958821,0.023689575,0.15996],"study_design_scores_gemma":[0.000028115686,0.000025147614,0.96131504,0.00027303633,0.00022232592,0.00016491729,0.0051690675,0.0011430483,0.00049474457,0.0010087342,0.030109413,0.000046381418],"about_ca_topic_score_codex":0.98040766,"about_ca_topic_score_gemma":0.9898595,"teacher_disagreement_score":0.9780029,"about_ca_system_score_codex":0.021997107,"about_ca_system_score_gemma":0.029665165,"threshold_uncertainty_score":0.15960097},"labels":[],"label_agreement":null},{"id":"W1513885392","doi":"10.2139/ssrn.1507893","title":"Productivity: What is It? How is it Measured? What has Canada's Performance Been?","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":true,"ca_institutions":"Government of Canada; Statistics Canada","funders":"","keywords":"Productivity; Economics; Agricultural economics; Natural resource economics; Business; Environmental science; Macroeconomics","score_opus":0.03886817538549082,"score_gpt":0.19806953785964593,"score_spread":0.15920136247415512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1513885392","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16881713,0.09857477,0.0034472856,0.5206592,0.0072610197,0.00013669013,0.03235865,0.0005515599,0.1681937],"genre_scores_gemma":[0.923256,0.0313729,0.0020652465,0.015059396,0.0013069725,0.00007586634,0.0052639004,0.0001795839,0.02142009],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9866758,0.0009472641,0.000674731,0.0010223747,0.007801578,0.0028783646],"domain_scores_gemma":[0.9376021,0.0038108653,0.0045377538,0.0009115803,0.04576139,0.0073763262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007973102,0.0008061716,0.0014664459,0.005999937,0.0056295795,0.014539767,0.002531529,0.002062298,0.0077603343],"category_scores_gemma":[0.033739284,0.0003556035,0.0009065143,0.022145504,0.006127054,0.005388584,0.0020201432,0.004169413,0.0016097142],"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":[0.0002393847,0.00017530151,0.32814747,0.0022216274,0.0007444124,0.00017509567,0.0050320784,0.0029601913,0.0005303415,0.07122281,0.29583526,0.292716],"study_design_scores_gemma":[0.00004088577,0.0000886886,0.7445147,0.0041594966,0.00027767263,0.00008227361,0.010702464,0.0015209179,0.0010179345,0.00959731,0.22767064,0.00032700348],"about_ca_topic_score_codex":0.9935876,"about_ca_topic_score_gemma":0.9932482,"teacher_disagreement_score":0.13483313,"about_ca_system_score_codex":0.13483313,"about_ca_system_score_gemma":0.21413602,"threshold_uncertainty_score":0.9782874},"labels":[],"label_agreement":null},{"id":"W1514253713","doi":"10.17016/bulletin.2000.86-3","title":"Industrial Production and Capacity Utilization: Recent Developments and the 1999 Revision","year":2000,"lang":"en","type":"article","venue":"Federal Reserve Bulletin","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"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":"Industrial production index; Index (typography); Quarter (Canadian coin); Production (economics); Capacity utilization; Industrial production; Agricultural economics; Operations management; Environmental science; Economics; Computer science; Geography","score_opus":0.10610768061563634,"score_gpt":0.23403026532039545,"score_spread":0.1279225847047591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1514253713","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":[0.17356437,0.17675342,0.047440052,0.062285252,0.026848644,0.0006339332,0.12373905,0.003283723,0.3854516],"genre_scores_gemma":[0.6140413,0.12563185,0.03752911,0.007274157,0.015966559,0.000826734,0.11245473,0.0014237285,0.08485173],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9903662,0.0012314231,0.0014292347,0.001424176,0.00499609,0.00055282237],"domain_scores_gemma":[0.9549855,0.006743298,0.008242434,0.0039915475,0.025081392,0.0009558249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073729656,0.0012692079,0.0008135972,0.013317364,0.000669192,0.0047722002,0.0026361484,0.0013170582,0.004200893],"category_scores_gemma":[0.038493324,0.0007810594,0.00059362495,0.024970071,0.0015166663,0.004384355,0.0016088668,0.0030607136,0.0020111785],"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":[0.00030614456,0.0001860443,0.031365577,0.0013813177,0.0001292937,0.00022997001,0.001088393,0.006181575,0.0008543424,0.08018146,0.31029323,0.56780267],"study_design_scores_gemma":[0.000012119891,0.00006897278,0.08190774,0.0006658828,0.000032697255,0.00024698573,0.00039874532,0.0013419784,0.0015064926,0.003335085,0.91039145,0.00009194095],"about_ca_topic_score_codex":0.05471562,"about_ca_topic_score_gemma":0.018707104,"teacher_disagreement_score":0.05471562,"about_ca_system_score_codex":0.0066745025,"about_ca_system_score_gemma":0.0055749984,"threshold_uncertainty_score":0.10879433},"labels":[],"label_agreement":null},{"id":"W1514970945","doi":"","title":"Product Market Regulation and Productivity Convergence: OECD Evidence and Implications for Canada","year":2007,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Productivity; Convergence (economics); Product (mathematics); Product market; Econometrics; Macroeconomics; Microeconomics; Mathematics","score_opus":0.048495094415088084,"score_gpt":0.29214397044247464,"score_spread":0.24364887602738655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1514970945","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":[0.82507324,0.017843552,0.0018202453,0.015509001,0.000097877215,0.00010642492,0.006958959,0.00013478039,0.13245602],"genre_scores_gemma":[0.985377,0.006306198,0.00065720273,0.00088373054,0.000030501049,0.000021779662,0.0019612217,0.000026273921,0.0047360333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99725866,0.0002274726,0.00014037591,0.00035992922,0.0012242869,0.0007893129],"domain_scores_gemma":[0.9788253,0.0034135825,0.0047462843,0.0010783492,0.010467526,0.0014688924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031411634,0.00026138913,0.00055950077,0.004907927,0.0021141195,0.0031580087,0.00068911025,0.00053567917,0.004121774],"category_scores_gemma":[0.013972393,0.00018507974,0.000662976,0.009626953,0.0017563174,0.0012192096,0.0017431172,0.0010599757,0.00026103697],"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":[0.00044925613,0.00014256207,0.8533027,0.00043327748,0.00028636365,0.00059111696,0.0025358598,0.002419425,0.000502453,0.033736058,0.012289567,0.09331143],"study_design_scores_gemma":[0.000037431528,0.000040966,0.96660054,0.0002930838,0.00016818642,0.00009860898,0.0018200262,0.001185715,0.00065762963,0.0024903752,0.02656948,0.000038004244],"about_ca_topic_score_codex":0.9636788,"about_ca_topic_score_gemma":0.9571595,"teacher_disagreement_score":0.036321223,"about_ca_system_score_codex":0.023163885,"about_ca_system_score_gemma":0.024197554,"threshold_uncertainty_score":0.16806656},"labels":[],"label_agreement":null},{"id":"W1515099207","doi":"10.2139/ssrn.2186165","title":"On the Aggregate and Distributional Implications of Productivity Differences Across Countries","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":16,"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":"Productivity; Aggregate (composite); Economics; Econometrics; Economic geography; Geography; Macroeconomics","score_opus":0.01344117637220468,"score_gpt":0.21103903750742237,"score_spread":0.19759786113521768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1515099207","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":[0.9243264,0.0060034506,0.013838858,0.011222251,0.00015823744,0.000018507515,0.001014461,0.00004955391,0.04336835],"genre_scores_gemma":[0.9972548,0.0009704886,0.00042180435,0.00015249608,0.00016879036,0.0000064733395,0.00018267585,0.0000074114573,0.00083501055],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989722,0.00046140613,0.000074947515,0.00019811002,0.00014065573,0.00015282602],"domain_scores_gemma":[0.9760281,0.01872171,0.0023657863,0.0011919587,0.0012058124,0.00048666334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035833165,0.00029223695,0.0007440885,0.001720693,0.00075040903,0.0034866948,0.0007831066,0.0012469431,0.008774844],"category_scores_gemma":[0.019219916,0.00018516113,0.0006239138,0.0034626813,0.0025684005,0.005028175,0.0021607329,0.0017058873,0.00054794806],"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":[0.0009889373,0.00013927206,0.10843455,0.00027568635,0.00043755368,0.0015175078,0.0023971277,0.040195644,0.0015945883,0.7462579,0.010938733,0.086822525],"study_design_scores_gemma":[0.000083110004,0.00013327581,0.11537117,0.00012158729,0.0002898996,0.00038692396,0.0040322742,0.018571464,0.00079708896,0.85364324,0.006517282,0.000052626146],"about_ca_topic_score_codex":0.0031594967,"about_ca_topic_score_gemma":0.0021377667,"teacher_disagreement_score":0.008774844,"about_ca_system_score_codex":0.0008459258,"about_ca_system_score_gemma":0.0003193028,"threshold_uncertainty_score":0.02935481},"labels":[],"label_agreement":null},{"id":"W1515209144","doi":"","title":"The Relationship between ICT Investment and Productivity in the Canadian Economy: A Review of the Evidence","year":2006,"lang":"en","type":"review","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"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":"Information and Communications Technology; Productivity; Investment (military); Government (linguistics); Business; Industrial organization; Economics; Economy; Economic growth; Political science","score_opus":0.1931267914836995,"score_gpt":0.34955535304177177,"score_spread":0.15642856155807228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1515209144","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00046891058,0.99782443,0.000023180191,0.00048416163,0.000035875964,0.0000027143053,0.000097575874,0.0000017289444,0.0010614204],"genre_scores_gemma":[0.0039167167,0.99574137,0.00004598545,0.00007708277,0.000027788832,0.0000015826616,0.000050697294,6.6003156e-7,0.00013823087],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99904364,0.00009980207,0.00007486958,0.000116598574,0.0005656783,0.00009926348],"domain_scores_gemma":[0.99493366,0.0019269924,0.0005333284,0.00006248083,0.0023793818,0.00016411472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023567786,0.00091593625,0.0015429637,0.0077272337,0.0007626274,0.0031637945,0.0011454397,0.00093379675,0.002717132],"category_scores_gemma":[0.0060388837,0.000485385,0.0008382022,0.023660159,0.0011244795,0.0011505092,0.00053678115,0.0009121829,0.00047267668],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023027102,0.00007042306,0.0127180545,0.058963977,0.00085476716,0.00034406633,0.00030839953,0.0013562237,0.00044574586,0.006714787,0.03853805,0.8794552],"study_design_scores_gemma":[0.00006310425,0.00015477516,0.15331356,0.07230835,0.0043862895,0.0010154895,0.0013261265,0.00080396864,0.0009904613,0.0045404914,0.76094174,0.00015562221],"about_ca_topic_score_codex":0.7422962,"about_ca_topic_score_gemma":0.79529583,"teacher_disagreement_score":0.98523575,"about_ca_system_score_codex":0.014764266,"about_ca_system_score_gemma":0.039294306,"threshold_uncertainty_score":0.51844287},"labels":[],"label_agreement":null},{"id":"W1515803338","doi":"10.3386/w18807","title":"Gravity, Scale and Exchange Rates","year":2013,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Canada","funders":"","keywords":"Scale (ratio); Exchange rate; Economics; Geology; Environmental science; Geography; Monetary economics; Cartography","score_opus":0.23996497874962014,"score_gpt":0.4102832538359977,"score_spread":0.17031827508637754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1515803338","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":[0.38686663,0.0055088648,0.36015195,0.02373164,0.0004301831,0.00026492134,0.001944449,0.0007815355,0.22031984],"genre_scores_gemma":[0.9775342,0.0016819556,0.010202749,0.00027133583,0.00021135787,0.000085525804,0.00034967513,0.000039912564,0.009623278],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99952245,0.00017377138,0.000021558746,0.00008607493,0.00010510888,0.000091028545],"domain_scores_gemma":[0.99842,0.0005477814,0.0005350355,0.00020431905,0.00014859028,0.00014441184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009435828,0.00050436746,0.0005933045,0.0014527453,0.00058131624,0.0018112495,0.0009010611,0.0010896827,0.007094178],"category_scores_gemma":[0.0044589783,0.00031155272,0.0009703504,0.0019094496,0.002145885,0.002367616,0.0015417793,0.0010479994,0.0008924799],"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":[0.000010225537,0.000016040702,0.0049886955,0.0000290732,0.000030249339,0.00007880367,0.00014962254,0.032785624,0.00013992892,0.95199275,0.0028967066,0.006882394],"study_design_scores_gemma":[0.00004060457,0.000037264865,0.007857594,0.000043659624,0.000032656913,0.00015317327,0.00016031615,0.07418136,0.00009664167,0.90005076,0.017316986,0.000028930739],"about_ca_topic_score_codex":0.009711108,"about_ca_topic_score_gemma":0.003909396,"teacher_disagreement_score":0.009711108,"about_ca_system_score_codex":0.001563808,"about_ca_system_score_gemma":0.00086894963,"threshold_uncertainty_score":0.023732364},"labels":[],"label_agreement":null},{"id":"W1516576522","doi":"","title":"What Explains the Canada-US ICT Investment Gap?","year":2005,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"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":"Information and Communications Technology; Investment (military); Business; Economics; Regional science; Political science; Computer science; Geography; World Wide Web","score_opus":0.04796613479806826,"score_gpt":0.2612324918840738,"score_spread":0.21326635708600555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1516576522","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37195197,0.040329494,0.0012492565,0.40916064,0.00085266586,0.0000717496,0.015598951,0.0002624126,0.16052285],"genre_scores_gemma":[0.9561942,0.013190489,0.0006323117,0.0120764505,0.0002254897,0.000021324446,0.003168591,0.00007551532,0.014415631],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99817574,0.00006344778,0.000042947293,0.00012792026,0.00058895675,0.0010009691],"domain_scores_gemma":[0.9942743,0.00078511616,0.000777179,0.000099538796,0.0029575785,0.0011062515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009932829,0.00028185398,0.00047361926,0.002860432,0.0028146089,0.0039700666,0.0011059295,0.0012227951,0.0120565565],"category_scores_gemma":[0.007522612,0.00020096429,0.00044352486,0.008384294,0.0017208667,0.0018134199,0.0013235095,0.0013927772,0.00071272446],"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":[0.00030078538,0.00014867069,0.35629898,0.00072369055,0.00014707056,0.0009910571,0.0044090603,0.0023406423,0.00035745522,0.18937169,0.2940544,0.15085644],"study_design_scores_gemma":[0.00007856532,0.0000383817,0.6930147,0.0011292391,0.00018965025,0.0004415556,0.010951028,0.0040147714,0.00103402,0.018967737,0.27001876,0.00012163666],"about_ca_topic_score_codex":0.9865329,"about_ca_topic_score_gemma":0.9867061,"teacher_disagreement_score":0.06263995,"about_ca_system_score_codex":0.06263995,"about_ca_system_score_gemma":0.06908496,"threshold_uncertainty_score":0.4544868},"labels":[],"label_agreement":null},{"id":"W1517235943","doi":"","title":"The Growth Story: Canada's Long-run Economic Performance and Prospects","year":2003,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Prime minister; Economics; Human capital; Investment (military); Balanced scorecard; Star (game theory); Politics; Development economics; Economic policy; Political science; Economic growth; Management; Law","score_opus":0.011792030831535558,"score_gpt":0.18999469817390274,"score_spread":0.17820266734236717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1517235943","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.098837994,0.05172419,0.00060796045,0.65302634,0.0034437752,0.000057753477,0.025095437,0.00034407206,0.16686243],"genre_scores_gemma":[0.7954294,0.06394019,0.0013779738,0.04303646,0.001424135,0.000053211243,0.014995808,0.00022390936,0.07951898],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9977709,0.00008045668,0.000045285768,0.000097665135,0.0011177935,0.00088785],"domain_scores_gemma":[0.9920482,0.0004159732,0.00029435853,0.00008111885,0.004685822,0.0024744738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017823091,0.00048626837,0.0004464362,0.0022922866,0.0065024793,0.008891679,0.0011327816,0.0022599944,0.008161273],"category_scores_gemma":[0.005405854,0.00016001351,0.00044948593,0.007561763,0.0016130588,0.0026053244,0.0015010315,0.0038781401,0.0010672006],"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":[0.00032127826,0.00011931592,0.05877213,0.00033602532,0.00007350855,0.000610592,0.0016607181,0.0018632005,0.0003025291,0.07627063,0.7372283,0.12244187],"study_design_scores_gemma":[0.00009947173,0.00012884203,0.22514483,0.00089509104,0.00010598843,0.00028927982,0.007099141,0.0033069071,0.0009373713,0.010942616,0.750807,0.00024345382],"about_ca_topic_score_codex":0.9903464,"about_ca_topic_score_gemma":0.99235004,"teacher_disagreement_score":0.06113524,"about_ca_system_score_codex":0.06113524,"about_ca_system_score_gemma":0.1364025,"threshold_uncertainty_score":0.4435693},"labels":[],"label_agreement":null},{"id":"W1517483050","doi":"10.20381/ruor-2621","title":"The Connections between R&amp;D Intensity and Time in Industrial Innovation","year":2012,"lang":"en","type":"article","venue":"uO Research (University of Ottawa)","topic":"Economic Growth and Productivity","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":"Intensity (physics); Computer science; Physics","score_opus":0.20908468683489892,"score_gpt":0.2838098612245317,"score_spread":0.0747251743896328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1517483050","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":[0.95902103,0.0050726226,0.016925037,0.0021679061,0.000030369612,0.000026920154,0.00051522563,0.0000667649,0.016174043],"genre_scores_gemma":[0.99649304,0.0008736724,0.0010730526,0.000072213275,0.00006156886,0.000012538665,0.000111507004,0.000009508714,0.0012929428],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983662,0.00040667673,0.00015013744,0.0003717732,0.0003611224,0.00034413172],"domain_scores_gemma":[0.96442866,0.022957662,0.00813265,0.0014241773,0.0010578219,0.001998976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027862792,0.00023840893,0.0005062324,0.0031430286,0.00067869545,0.0019578042,0.0007480604,0.0008652585,0.004613919],"category_scores_gemma":[0.020892438,0.0002613936,0.00077210215,0.0046074786,0.0031003128,0.0025249706,0.002042414,0.0012366334,0.00044716493],"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":[0.00065180066,0.0002507192,0.7304506,0.0002909445,0.00037733582,0.0006061497,0.0031886983,0.026453642,0.0045199753,0.13127916,0.00094731036,0.10098372],"study_design_scores_gemma":[0.000038846352,0.00020777581,0.9108585,0.00007320921,0.00012833602,0.0003520375,0.00086319057,0.0077400184,0.0011847197,0.07247474,0.0059886537,0.00008996509],"about_ca_topic_score_codex":0.008016486,"about_ca_topic_score_gemma":0.0071822824,"teacher_disagreement_score":0.008016486,"about_ca_system_score_codex":0.002018013,"about_ca_system_score_gemma":0.00084502035,"threshold_uncertainty_score":0.015939653},"labels":[],"label_agreement":null},{"id":"W1517593850","doi":"10.1023/a:1015633528122","title":"Twin Engines of Growth: Skills and Technology as Equal Partners in Balanced Growth","year":2002,"lang":"en","type":"article","venue":"Journal of Economic Growth","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":68,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Queen's University","funders":"Canadian Institute for Advanced Research","keywords":"Complementarity (molecular biology); Endogenous growth theory; Economics; Incentive; Productivity; Production (economics); Labour economics; Dreyfus model of skill acquisition; Technological change; Microeconomics; Human capital; Economic growth; Macroeconomics","score_opus":0.01893165412376217,"score_gpt":0.22394491124513474,"score_spread":0.20501325712137258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1517593850","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":[0.52210087,0.017750517,0.13618638,0.09148714,0.0009148524,0.00009804105,0.00033821404,0.00017185093,0.23095211],"genre_scores_gemma":[0.99280554,0.0014275489,0.0017817548,0.00044883083,0.00023868299,0.000014582587,0.000019475769,0.0000136266535,0.0032498892],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999062,0.00042113368,0.000030464433,0.000108903776,0.00015450268,0.00022298131],"domain_scores_gemma":[0.9930473,0.00450159,0.00097449997,0.00031286542,0.0004613434,0.00070242025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026599385,0.0004403516,0.00062893593,0.0008832722,0.0008395307,0.005844079,0.0006543027,0.0023936806,0.010248689],"category_scores_gemma":[0.01549611,0.00025141466,0.0002993819,0.0010196379,0.0055246963,0.013564843,0.002517144,0.0016860274,0.0005593158],"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":[0.00017323674,0.00004652365,0.0032225698,0.000049008755,0.000030788815,0.00014121516,0.00059300964,0.0052658813,0.00019166051,0.9651149,0.0026959344,0.022475384],"study_design_scores_gemma":[0.000031821124,0.000011558937,0.0009812174,0.000016344751,0.000013674509,0.000022580743,0.0002805454,0.002363495,0.000082503866,0.994079,0.0021083911,0.000008873708],"about_ca_topic_score_codex":0.0015560033,"about_ca_topic_score_gemma":0.0014385196,"teacher_disagreement_score":0.010248689,"about_ca_system_score_codex":0.0012337216,"about_ca_system_score_gemma":0.001503598,"threshold_uncertainty_score":0.034285307},"labels":[],"label_agreement":null},{"id":"W1518245335","doi":"10.2753/ces1097-1475450201","title":"Demographic Change, Savings, Investment, and Economic Growth","year":2012,"lang":"en","type":"article","venue":"Chinese Economy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":41,"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":"Investment (military); Economics; China; Demographic change; Human capital; Population growth; Population ageing; Demographic transition; Population; Panel data; Capital (architecture); Development economics; Economic growth; Geography","score_opus":0.02918590933017905,"score_gpt":0.21480233368460863,"score_spread":0.18561642435442957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1518245335","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":[0.9850995,0.001164647,0.0005066792,0.0029050054,0.000019522915,0.000014050166,0.0009612912,0.000012376238,0.009316963],"genre_scores_gemma":[0.99748516,0.0009106389,0.00011060059,0.000082280625,0.000011462585,0.0000047451526,0.00038383246,8.9203843e-7,0.0010103317],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998785,0.000028347235,0.000006339556,0.000013962148,0.000024057295,0.000048732363],"domain_scores_gemma":[0.99935216,0.00014351853,0.00027850756,0.000026336485,0.00008914295,0.00011039581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049171085,0.00012429373,0.00012378808,0.0005229862,0.00025477554,0.00041795772,0.00010004025,0.00016830127,0.0024162992],"category_scores_gemma":[0.001545885,0.000060501272,0.0001607232,0.00097498856,0.00044612162,0.00062559143,0.0003110025,0.00033284345,0.000118555305],"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":[0.000039421822,0.00002724209,0.95865107,0.000037516038,0.000038095022,0.00015086759,0.00033232663,0.004698465,0.00018851724,0.016603818,0.0015323618,0.01770027],"study_design_scores_gemma":[0.0000053291956,0.000037895414,0.9826963,0.000029147925,0.00002486949,0.00005457106,0.00061109464,0.004898819,0.0002765763,0.0053162314,0.0060420046,0.00000726281],"about_ca_topic_score_codex":0.046735868,"about_ca_topic_score_gemma":0.0805338,"teacher_disagreement_score":0.046735868,"about_ca_system_score_codex":0.0013788824,"about_ca_system_score_gemma":0.0010210351,"threshold_uncertainty_score":0.092927694},"labels":[],"label_agreement":null},{"id":"W1518417459","doi":"10.1023/a:1015677626496","title":"Effects of R &amp; D Spillovers on the Profitability of Firms","year":2002,"lang":"en","type":"article","venue":"Review of Industrial Organization","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Social Sciences and Humanities Research Council of Canada; Yale University","keywords":"Profitability index; Spillover effect; Proxy (statistics); Knowledge spillover; Economics; Industrial organization; Sample (material); Business; Econometrics; Microeconomics; Finance; Statistics","score_opus":0.0577518929891056,"score_gpt":0.21255575365583332,"score_spread":0.15480386066672772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1518417459","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":[0.63199836,0.16338639,0.0030573886,0.016625576,0.0003111267,0.00006513024,0.001535337,0.00014081165,0.18287984],"genre_scores_gemma":[0.9359975,0.057303168,0.00036352605,0.00079233316,0.0005096032,0.000010364039,0.00017864545,0.000008545527,0.0048363176],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990663,0.00030650647,0.000037919475,0.000120392055,0.00020514094,0.00026392215],"domain_scores_gemma":[0.98838913,0.0069221235,0.0023222447,0.00036494425,0.0011713328,0.00083028496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016364487,0.00037865434,0.00051321875,0.0019029315,0.0005447704,0.003249483,0.0004206506,0.0014022774,0.008577542],"category_scores_gemma":[0.0067436546,0.0002834104,0.0006321119,0.0019183104,0.001364451,0.0014946089,0.0013598689,0.000939609,0.0015313487],"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":[0.0022331486,0.001208418,0.21336739,0.0033311981,0.0012880397,0.002780126,0.0007921606,0.06681192,0.008945271,0.17140572,0.03322689,0.49460968],"study_design_scores_gemma":[0.0005032079,0.0010120599,0.68862486,0.0017667732,0.0015247584,0.0011331636,0.0023027027,0.011154355,0.00863269,0.17955378,0.10359683,0.00019477095],"about_ca_topic_score_codex":0.0053116884,"about_ca_topic_score_gemma":0.006738696,"teacher_disagreement_score":0.008577542,"about_ca_system_score_codex":0.0022180364,"about_ca_system_score_gemma":0.0013429896,"threshold_uncertainty_score":0.028694808},"labels":[],"label_agreement":null},{"id":"W1518677795","doi":"","title":"Germany’s Continued Productivity Slump: An Industry Analysis","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"German; Total factor productivity; Productivity; Quarter (Canadian coin); Economics; Investment (military); Frontier; Labour economics; Offset (computer science); Technological change; Agricultural economics; Macroeconomics; Geography; Political science","score_opus":0.060955231433682644,"score_gpt":0.29812213192437087,"score_spread":0.23716690049068823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1518677795","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":[0.9924085,0.00087834086,0.00022717449,0.00022416838,0.000006664738,0.000011567555,0.002265702,0.000014831363,0.0039631235],"genre_scores_gemma":[0.9940784,0.00083254103,0.00018445162,0.000036943275,0.0000139613185,0.000005648694,0.0032444915,0.0000035684386,0.001599988],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997825,0.000020618258,0.000012203781,0.000035546826,0.000047019916,0.00010207708],"domain_scores_gemma":[0.99957544,0.00008336668,0.00017361129,0.000030897372,0.00006996378,0.000066761684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026454462,0.00028249426,0.00018100755,0.0044130622,0.00031402992,0.00093645183,0.00021772683,0.00030953006,0.0026159761],"category_scores_gemma":[0.00066182105,0.00012898831,0.00044921675,0.00488538,0.00023393879,0.00043081265,0.00055552967,0.00027937282,0.00075955037],"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":[0.00041324552,0.0002632564,0.89457005,0.00022955214,0.00030918606,0.0039390307,0.0012893653,0.0049900077,0.0044239974,0.007793749,0.0135873435,0.06819122],"study_design_scores_gemma":[0.000007732053,0.00006414969,0.98885113,0.000022967115,0.000057289602,0.00021330742,0.00073113624,0.002268819,0.00051164033,0.0003282671,0.006934344,0.000009255733],"about_ca_topic_score_codex":0.030439598,"about_ca_topic_score_gemma":0.030397099,"teacher_disagreement_score":0.030439598,"about_ca_system_score_codex":0.001053358,"about_ca_system_score_gemma":0.00037668765,"threshold_uncertainty_score":0.06052482},"labels":[],"label_agreement":null},{"id":"W1522917181","doi":"10.3386/w18809","title":"Choice of Country by the Foreign Born for PhD and Postdoctoral Study: A Sixteen-Country Perspective","year":2013,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"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":"Regione Piemonte; Collegio Carlo Alberto; European Commission","keywords":"Perspective (graphical); Foreign born; Country of origin; Political science; Immigration; Law; Art","score_opus":0.32454058712959655,"score_gpt":0.45969097493594546,"score_spread":0.13515038780634892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1522917181","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":[0.9964663,0.00028589295,0.00012685817,0.00089019985,0.000010574737,0.0000075386074,0.0004446733,0.0000014211981,0.0017666515],"genre_scores_gemma":[0.9977456,0.00036672727,0.000113254035,0.00015849614,0.000012662741,0.000010687021,0.0005042781,0.0000031978068,0.0010851437],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840754,0.0007506488,0.000060140363,0.00011891281,0.00009832754,0.0005644965],"domain_scores_gemma":[0.9919337,0.0022747577,0.0025351262,0.00012769699,0.00030509476,0.0028235991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028932241,0.00024945434,0.0005303323,0.0015749983,0.001441669,0.0030190614,0.0005800906,0.0009364394,0.009062057],"category_scores_gemma":[0.004183783,0.0002589098,0.0010109325,0.0018168965,0.0009686729,0.0014039048,0.0023178272,0.0015349619,0.00075667904],"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":[0.00031237287,0.00015898277,0.9915114,0.000020520827,0.00013139048,0.00049572514,0.0014057048,0.00070699997,0.0001337414,0.001448034,0.00073921215,0.0029358924],"study_design_scores_gemma":[0.00012080483,0.00054935325,0.94220376,0.00022817499,0.00026224664,0.00059466634,0.043317616,0.0039068568,0.0003686567,0.0026274784,0.005743044,0.000077358956],"about_ca_topic_score_codex":0.02054651,"about_ca_topic_score_gemma":0.030103892,"teacher_disagreement_score":0.02054651,"about_ca_system_score_codex":0.0007675268,"about_ca_system_score_gemma":0.0009015103,"threshold_uncertainty_score":0.0408538},"labels":[],"label_agreement":null},{"id":"W1522964257","doi":"10.3386/w13500","title":"The Economics of Inefficient Technology Use","year":2007,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Industrial organization; Business","score_opus":0.2845731519900696,"score_gpt":0.4256748962708741,"score_spread":0.14110174428080452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1522964257","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":[0.7127296,0.0057462896,0.04256239,0.040836178,0.00009332305,0.0001267153,0.00063690695,0.00008440351,0.19718434],"genre_scores_gemma":[0.9932874,0.001276567,0.00092094264,0.0006533657,0.00007724611,0.00004392281,0.000036001522,0.000010496752,0.0036940856],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99683666,0.0015667804,0.00013478968,0.0003455341,0.0006448596,0.00047138016],"domain_scores_gemma":[0.97792196,0.012547325,0.0052695163,0.0020992928,0.0014203156,0.00074160413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038966122,0.00020364084,0.00055314414,0.001941389,0.0009257782,0.0035155788,0.00060318544,0.0020858184,0.007956224],"category_scores_gemma":[0.021173073,0.00040979846,0.0005411008,0.001390789,0.0053155245,0.0039873836,0.0019319989,0.0014962187,0.0008329052],"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":[0.00016064805,0.00019409887,0.030794019,0.0001654838,0.00012185055,0.0006149557,0.0011781678,0.020591045,0.0010195283,0.89709306,0.0052942946,0.04277292],"study_design_scores_gemma":[0.0000845974,0.00012732534,0.035434037,0.00013144426,0.00005472232,0.00063659606,0.0012305117,0.015292663,0.0006894867,0.93157136,0.014696289,0.000051027586],"about_ca_topic_score_codex":0.0024848282,"about_ca_topic_score_gemma":0.0010374824,"teacher_disagreement_score":0.007956224,"about_ca_system_score_codex":0.00260996,"about_ca_system_score_gemma":0.0010740116,"threshold_uncertainty_score":0.026616275},"labels":[],"label_agreement":null},{"id":"W1523237629","doi":"","title":"Knowledge-Based Labor Productivity Improvements: Canada Case Study","year":2008,"lang":"en","type":"article","venue":"University of Zagreb University Computing Centre (SRCE)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Aboriginal Affairs Northern Dev Canada","funders":"","keywords":"Openness to experience; Productivity; Economics; Stock (firearms); Labour economics; Multifactor productivity; Human capital; Total factor productivity; Macroeconomics; Economic growth; Engineering","score_opus":0.0165977011201592,"score_gpt":0.16534802724030853,"score_spread":0.14875032612014932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1523237629","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":[0.95386374,0.0016086044,0.0010793537,0.0028629596,0.000028674587,0.00019353474,0.0055956286,0.00007033067,0.034697145],"genre_scores_gemma":[0.98668855,0.0016809788,0.0012138657,0.00020343115,0.000014252411,0.00004258654,0.001333587,0.000011552129,0.008811215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990822,0.00010758135,0.000023903902,0.000069377,0.000288146,0.0004287279],"domain_scores_gemma":[0.99822944,0.00035901635,0.00014352777,0.00008318624,0.00074935844,0.0004355365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066377735,0.0003888002,0.00033733516,0.0021181945,0.0038522426,0.0011531948,0.00104437,0.0008543293,0.0027737117],"category_scores_gemma":[0.00227766,0.00012294826,0.00042289327,0.008359533,0.00092896534,0.00037044854,0.00074252556,0.00078187964,0.00024542073],"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":[0.0013577867,0.0018788204,0.55453235,0.0009164388,0.00028207488,0.017394196,0.013646795,0.06583372,0.0024788417,0.05444162,0.062225983,0.22501141],"study_design_scores_gemma":[0.00040381734,0.0005781793,0.7483857,0.00029253642,0.00026367878,0.002621582,0.044728022,0.045969587,0.002843861,0.0041561737,0.14952478,0.0002319537],"about_ca_topic_score_codex":0.99218965,"about_ca_topic_score_gemma":0.9945034,"teacher_disagreement_score":0.03989365,"about_ca_system_score_codex":0.03989365,"about_ca_system_score_gemma":0.03874738,"threshold_uncertainty_score":0.28945005},"labels":[],"label_agreement":null},{"id":"W1525295885","doi":"10.22004/ag.econ.125983","title":"Global Effects of US “New Economy” Shocks: the Role of Capital-Skill Complementarity","year":2001,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic Growth and Productivity","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":"Economics; Complementarity (molecular biology); Shock (circulatory); Monetary economics; Investment (military); Capital deepening; Stock (firearms); Exchange rate; Labour economics; Human capital; Capital formation; Financial capital; Market economy","score_opus":0.01842238230708916,"score_gpt":0.20126233203595356,"score_spread":0.18283994972886441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1525295885","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":[0.92318946,0.0040045585,0.007599389,0.004676591,0.0001681818,0.00002701211,0.0015792394,0.00013101484,0.058624595],"genre_scores_gemma":[0.99630284,0.0014015806,0.0004100785,0.00034431185,0.000032078744,0.0000052282885,0.0003124298,0.000016051059,0.0011755071],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981695,0.000036464877,0.000010718854,0.000040576135,0.000029882094,0.000065398905],"domain_scores_gemma":[0.9993166,0.00018850817,0.00024536724,0.000052288848,0.00009863628,0.00009855419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044936858,0.0004238807,0.0004318618,0.0009912839,0.00036941547,0.0020899375,0.00018883597,0.000563196,0.003965156],"category_scores_gemma":[0.00162222,0.00019736051,0.000626088,0.0016712148,0.0009518185,0.0015121497,0.0019257034,0.00076948246,0.0001684361],"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":[0.0009324051,0.0002110233,0.33303928,0.0004823453,0.0010992307,0.0029122592,0.00089706766,0.27371886,0.0049492847,0.2602457,0.012989058,0.10852353],"study_design_scores_gemma":[0.00011729893,0.0003766726,0.6723404,0.0002597984,0.0010135367,0.00083841797,0.002371284,0.08993786,0.005158558,0.18649985,0.040924296,0.0001620772],"about_ca_topic_score_codex":0.015135532,"about_ca_topic_score_gemma":0.016379293,"teacher_disagreement_score":0.015135532,"about_ca_system_score_codex":0.001380659,"about_ca_system_score_gemma":0.0004886623,"threshold_uncertainty_score":0.030094862},"labels":[],"label_agreement":null},{"id":"W1525314947","doi":"10.3386/w8023","title":"Generalized Solow-Neutral Technical Progress and Postwar Economic Growth","year":2000,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Technical progress; Human capital; Capital deepening; Technical change; Pace; Per capita; Physical capital; Macroeconomics; Convergence (economics); Technological change; Capital (architecture); Capital formation; Unemployment; Returns to scale; Capital accumulation; Growth accounting; Labour economics; Productivity; Financial capital; Production (economics); Total factor productivity; Economic growth","score_opus":0.1712011006389618,"score_gpt":0.4050961284621706,"score_spread":0.23389502782320878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1525314947","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":[0.98570013,0.0002822539,0.008277383,0.0003874488,0.000014611437,0.000019748884,0.00045377362,0.00012732533,0.004737317],"genre_scores_gemma":[0.9972398,0.00020185756,0.0010950237,0.00002637276,0.000009062559,0.000012913987,0.0005316339,0.000015923835,0.0008675268],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993734,0.00019167269,0.0000328592,0.000114986564,0.000107539665,0.0001795153],"domain_scores_gemma":[0.9951278,0.0019858945,0.0016061028,0.00056580233,0.0004826704,0.00023169581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003892058,0.0006949185,0.0004897491,0.0018998473,0.00040265484,0.0017491482,0.00047564978,0.00055597303,0.0017598004],"category_scores_gemma":[0.010083501,0.00028494117,0.0008785353,0.0022447405,0.0023972427,0.0020431264,0.0014264678,0.0009672854,0.00039006802],"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":[0.0007177961,0.0001494861,0.28513756,0.00019081202,0.000307208,0.000993661,0.0031952763,0.43430445,0.0019295267,0.22138812,0.0031132577,0.048572827],"study_design_scores_gemma":[0.00014991451,0.00043807868,0.31246895,0.00014222087,0.00011379645,0.00043084045,0.0019220429,0.42837062,0.0029801168,0.24311818,0.00972056,0.0001446385],"about_ca_topic_score_codex":0.011221469,"about_ca_topic_score_gemma":0.008413722,"teacher_disagreement_score":0.011221469,"about_ca_system_score_codex":0.0022112823,"about_ca_system_score_gemma":0.0008748573,"threshold_uncertainty_score":0.022312284},"labels":[],"label_agreement":null},{"id":"W1525709793","doi":"","title":"The Diffusion and Adoption of Advanced Technologies in Canada: An Overview of the Issues","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"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":"Lagging; Productivity; Diffusion of innovations; Business; Globalization; Technological change; Process (computing); Industrial organization; Emerging technologies; Diffusion; Face (sociological concept); Economics; Marketing; Economic growth; Market economy; Computer science; Sociology","score_opus":0.05519607415249901,"score_gpt":0.2945475414801867,"score_spread":0.2393514673276877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1525709793","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11812488,0.54106385,0.004768359,0.096019514,0.0010041519,0.00025886725,0.0069523905,0.00017992716,0.23162812],"genre_scores_gemma":[0.5151996,0.44833088,0.004726452,0.004146979,0.0003614682,0.00008546223,0.002089003,0.00007706553,0.02498298],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99479103,0.00029708087,0.0001947587,0.00035746596,0.0029191165,0.0014405192],"domain_scores_gemma":[0.9885244,0.0017224161,0.00073032506,0.00020123627,0.0076417327,0.0011798235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002804308,0.0006185613,0.000743901,0.008751293,0.0058033955,0.0076063448,0.0016462064,0.0013879488,0.00453883],"category_scores_gemma":[0.008726468,0.00037583537,0.00095169607,0.021877648,0.0028242765,0.0034906985,0.0015951191,0.00248415,0.0002885506],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020110504,0.00019031837,0.11539047,0.004089993,0.00022852147,0.0010711572,0.011089755,0.00584554,0.0009640296,0.27527758,0.07694203,0.5087095],"study_design_scores_gemma":[0.000027013259,0.00007808618,0.34593517,0.004008345,0.00021046808,0.00061499607,0.012867933,0.004997125,0.0012490727,0.018410463,0.61132944,0.00027189864],"about_ca_topic_score_codex":0.9961965,"about_ca_topic_score_gemma":0.9944595,"teacher_disagreement_score":0.1466631,"about_ca_system_score_codex":0.1466631,"about_ca_system_score_gemma":0.20286247,"threshold_uncertainty_score":0.98974985},"labels":[],"label_agreement":null},{"id":"W152699902","doi":"","title":"Productivity Growth in Canada","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":46,"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":"Productivity; Multifactor productivity; Standard of living; Economics; Agricultural economics; Economic geography; Economic growth; Total factor productivity; Market economy","score_opus":0.04690027919776044,"score_gpt":0.24905495330115665,"score_spread":0.20215467410339621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W152699902","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":[0.055218995,0.06523627,0.0030606545,0.07881275,0.0065716757,0.00012880508,0.10675492,0.0012264043,0.68298954],"genre_scores_gemma":[0.58264315,0.08137903,0.0039793896,0.0042931032,0.0012391257,0.00012335624,0.046709646,0.0005436035,0.27908954],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99534285,0.0001452755,0.000118821925,0.00031607618,0.0029543992,0.0011226882],"domain_scores_gemma":[0.98271185,0.00075356424,0.000585217,0.00028046264,0.013910162,0.0017586801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018254869,0.00067212665,0.0006306797,0.008494242,0.0057940544,0.007815298,0.001075967,0.00088358746,0.017040364],"category_scores_gemma":[0.011373563,0.00023350492,0.00051914575,0.022904472,0.0013222648,0.0016705118,0.0015425752,0.0019869306,0.0027668432],"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":[0.0001196057,0.000030386007,0.019178577,0.0005161807,0.00004992645,0.00028336476,0.0016228845,0.0016953474,0.0002483649,0.1145776,0.6578889,0.20378894],"study_design_scores_gemma":[0.000026792919,0.00002165996,0.072278105,0.00045464528,0.000034121786,0.00010750283,0.001410051,0.0015670469,0.00040560664,0.0061672255,0.91746217,0.000065083856],"about_ca_topic_score_codex":0.9948258,"about_ca_topic_score_gemma":0.99198157,"teacher_disagreement_score":0.12629363,"about_ca_system_score_codex":0.12629363,"about_ca_system_score_gemma":0.23217928,"threshold_uncertainty_score":0.9163287},"labels":[],"label_agreement":null},{"id":"W1527160217","doi":"","title":"Productivity and Innovation: An Overview of the Issues","year":2007,"lang":"en","type":"article","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Productivity; Industrial organization; Econometric model; Innovation economics; Investment (military); Welfare; Economics; Principal (computer security); Business; Public economics; Econometrics; Economic growth; Economic system","score_opus":0.05043878356889505,"score_gpt":0.25510618802057206,"score_spread":0.204667404451677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1527160217","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015990511,0.90470994,0.007570406,0.03136448,0.002340441,0.00001655294,0.00015576654,0.00003268876,0.052210774],"genre_scores_gemma":[0.05616128,0.9154663,0.003106858,0.004374896,0.010205451,0.000040827003,0.00014743394,0.00004246741,0.010454577],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99759537,0.0005523198,0.00013622978,0.0002667855,0.0010762238,0.00037298052],"domain_scores_gemma":[0.99484104,0.003260925,0.00024540894,0.00017551353,0.0012175621,0.000259504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031309193,0.0010592343,0.001418676,0.01076856,0.0019081325,0.006949252,0.0016437545,0.0032782913,0.005415828],"category_scores_gemma":[0.0060599307,0.00039984056,0.00096347893,0.015153996,0.006736673,0.006869914,0.0022030713,0.003933514,0.0012812787],"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":[0.000024648398,0.00006969823,0.0020855835,0.001333526,0.00005467964,0.00012867137,0.00048543393,0.0017410753,0.00010854308,0.7942167,0.027419573,0.17233191],"study_design_scores_gemma":[0.0000059153554,0.00005439359,0.006786178,0.0021881037,0.000032575128,0.00033177898,0.00069273624,0.0010310967,0.00012747539,0.4219994,0.5667065,0.00004381264],"about_ca_topic_score_codex":0.05526086,"about_ca_topic_score_gemma":0.024359284,"teacher_disagreement_score":0.05526086,"about_ca_system_score_codex":0.012340283,"about_ca_system_score_gemma":0.0073118475,"threshold_uncertainty_score":0.10987842},"labels":[],"label_agreement":null},{"id":"W1528263330","doi":"","title":"North-South and South-South Trade-Related Technology Diffusion: An Industry Level Analysis","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Productivity; Geography; Economic geography; Global South; Diffusion; International trade; Economics; Economic growth","score_opus":0.020722676763154334,"score_gpt":0.19866275387747825,"score_spread":0.1779400771143239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1528263330","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":[0.98581505,0.00036545435,0.0020824005,0.00020490652,0.000004809371,0.000014470081,0.0003214876,0.000015656782,0.011175739],"genre_scores_gemma":[0.99633396,0.00029043385,0.00053782505,0.000023827555,0.000009693156,0.000006518217,0.00024629393,0.000005152657,0.00254628],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980444,0.000039767037,0.00000956697,0.000044394317,0.000049085276,0.000052827865],"domain_scores_gemma":[0.99883574,0.0006261462,0.00021956001,0.000054754695,0.0001585923,0.0001051785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054392597,0.00017668988,0.00028259392,0.0015531427,0.00023489112,0.00099374,0.0001782968,0.00033843485,0.009322075],"category_scores_gemma":[0.0014897251,0.00013263748,0.0010046604,0.0019492055,0.00031842003,0.00064561295,0.0006484548,0.00044043415,0.00066324015],"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":[0.0005947094,0.00016171744,0.82040447,0.0003505063,0.0007668889,0.0013770157,0.001708918,0.043611567,0.025988234,0.03976319,0.001408742,0.06386407],"study_design_scores_gemma":[0.000032227195,0.00012510017,0.9596532,0.00003481392,0.00024244918,0.0003262165,0.0008370286,0.024755213,0.002693623,0.0061336956,0.0051470897,0.000019319661],"about_ca_topic_score_codex":0.0063125216,"about_ca_topic_score_gemma":0.008344312,"teacher_disagreement_score":0.009322075,"about_ca_system_score_codex":0.0005061163,"about_ca_system_score_gemma":0.00035996185,"threshold_uncertainty_score":0.031185448},"labels":[],"label_agreement":null},{"id":"W1528824476","doi":"","title":"Prospects for the World Economy: From Global Recession to Global Recovery","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Economic recovery; Pace; Recession; Economics; Global recession; World economy; Development economics; Emerging markets; Great recession; Economy; Economic policy; Political science; Geography; Macroeconomics","score_opus":0.05275977671253643,"score_gpt":0.30245387355011505,"score_spread":0.24969409683757862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1528824476","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015900128,0.0884661,0.0017380548,0.79120123,0.006791398,0.000027945136,0.0017672463,0.00030924188,0.09379864],"genre_scores_gemma":[0.44791526,0.3105297,0.00441793,0.14660102,0.010270366,0.00023140428,0.0055687143,0.00038095633,0.07408461],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995221,0.000103952276,0.00001699008,0.000045889974,0.00010944568,0.00020149327],"domain_scores_gemma":[0.99868315,0.00018655362,0.00014124846,0.000058118705,0.00033725097,0.0005936934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018980516,0.00074289035,0.0006539346,0.0012403829,0.0021994424,0.007582711,0.000560395,0.0056592296,0.028847892],"category_scores_gemma":[0.0040014125,0.00021873286,0.00045478498,0.0024931594,0.0017258173,0.011523728,0.0040896526,0.0050942884,0.007430838],"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":[0.00032046344,0.000093727656,0.007755885,0.0005194893,0.000037531718,0.00074721425,0.00078167673,0.0011260569,0.0005585023,0.14534888,0.68694377,0.15576686],"study_design_scores_gemma":[0.000050902236,0.000068393056,0.017305424,0.0013765997,0.000030501566,0.00049380364,0.0067241117,0.0008489202,0.00025918343,0.19167013,0.7810942,0.000077785],"about_ca_topic_score_codex":0.0049736393,"about_ca_topic_score_gemma":0.005959312,"teacher_disagreement_score":0.028847892,"about_ca_system_score_codex":0.0021124522,"about_ca_system_score_gemma":0.0036281021,"threshold_uncertainty_score":0.09650582},"labels":[],"label_agreement":null},{"id":"W1531127850","doi":"","title":"Contribution of Institutional Sectors to Economic Growth","year":2007,"lang":"en","type":"article","venue":"Romanian Journal of Economic Forecasting","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Economic sector; Gross value added; Commission; Competition (biology); National accounts; Macroeconomics; Government sector; Quarter (Canadian coin); Measures of national income and output; Government (linguistics); Compensation (psychology); Gross output; Finance; Economy; Economic growth; Private sector","score_opus":0.03335145643526777,"score_gpt":0.22116033043991756,"score_spread":0.1878088740046498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1531127850","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":[0.74545485,0.0126095405,0.011624317,0.0041984706,0.00024473306,0.00010740559,0.0031430314,0.00038936856,0.2222283],"genre_scores_gemma":[0.9929448,0.0028203086,0.00073603727,0.000046127618,0.000092153285,0.000011240955,0.00060151465,0.000025541425,0.0027221802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989165,0.00024674044,0.00007176504,0.0001497313,0.00022858402,0.0003866502],"domain_scores_gemma":[0.99501604,0.0013810601,0.0011832824,0.0005916965,0.0011552088,0.00067272515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014978887,0.00044219656,0.00032270682,0.003977656,0.00054316333,0.0042379396,0.00033672835,0.00026162073,0.004999447],"category_scores_gemma":[0.005861703,0.00014859486,0.00052986393,0.0048308633,0.00083763053,0.0019387493,0.0031558778,0.00079958513,0.0009349755],"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":[0.0005970318,0.00015571252,0.46324873,0.00055944116,0.0002479473,0.0010378087,0.0010639108,0.016217958,0.0013698117,0.2100147,0.0061590113,0.29932803],"study_design_scores_gemma":[0.000046164954,0.00015286924,0.6447239,0.0005924629,0.00029924492,0.0010384541,0.004761159,0.030090002,0.004983869,0.15540119,0.15782903,0.00008165803],"about_ca_topic_score_codex":0.003801651,"about_ca_topic_score_gemma":0.0024628302,"teacher_disagreement_score":0.004999447,"about_ca_system_score_codex":0.001969804,"about_ca_system_score_gemma":0.0018035045,"threshold_uncertainty_score":0.016724885},"labels":[],"label_agreement":null},{"id":"W1531405563","doi":"","title":"Productivity Concepts, Trends And Prospects: An Overview","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":21,"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":"Productivity; Economics; Productivity model; Ranking (information retrieval); Multifactor productivity; Production (economics); Econometrics; Estimation; Total factor productivity; Macroeconomics; Computer science","score_opus":0.09749268311122417,"score_gpt":0.3271685172087171,"score_spread":0.22967583409749293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1531405563","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015456693,0.9107244,0.015300507,0.01702305,0.0027889204,0.000052357827,0.0005301342,0.00022071635,0.051814202],"genre_scores_gemma":[0.012763389,0.9657518,0.0062973923,0.0020161064,0.005212543,0.000108241395,0.00044324153,0.000085707194,0.0073215873],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980552,0.00035838113,0.00019649448,0.00032643208,0.0008755984,0.00018792313],"domain_scores_gemma":[0.99620014,0.002321274,0.0003318938,0.00010008451,0.00088903616,0.00015753403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039945296,0.0019122289,0.0011751099,0.015587379,0.0011647464,0.006416698,0.0014859395,0.002179121,0.008879594],"category_scores_gemma":[0.009012606,0.00065299263,0.000830371,0.024617597,0.00229885,0.012900395,0.0018877292,0.0036687914,0.005110763],"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":[0.00004920668,0.000092979586,0.0022845268,0.0031808328,0.000042795804,0.00011615768,0.00039092725,0.0016854623,0.0002070365,0.33915547,0.10535052,0.54744405],"study_design_scores_gemma":[0.000006633206,0.00006826392,0.003924453,0.0020826105,0.000018751089,0.00032310456,0.00045018864,0.0008462134,0.00016327058,0.16666703,0.8253952,0.000054320823],"about_ca_topic_score_codex":0.0042680744,"about_ca_topic_score_gemma":0.0017265782,"teacher_disagreement_score":0.015587379,"about_ca_system_score_codex":0.0051372005,"about_ca_system_score_gemma":0.002967921,"threshold_uncertainty_score":0.03727323},"labels":[],"label_agreement":null},{"id":"W1532105698","doi":"","title":"International Productivity Comparisons: An Examination of Data Sources","year":2003,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Productivity; Data science; Computer science; Economics; Macroeconomics","score_opus":0.11545765608124775,"score_gpt":0.32098561142134985,"score_spread":0.2055279553401021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1532105698","genre_codex":"dataset","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":[0.15490066,0.079911776,0.09274143,0.027906468,0.0036889217,0.0035460335,0.3838494,0.001358983,0.2520964],"genre_scores_gemma":[0.5365873,0.046954196,0.07856069,0.0053154365,0.001998751,0.007469503,0.31245032,0.0016554283,0.009008403],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.83401865,0.056137614,0.03073227,0.0114017585,0.06545099,0.0022586505],"domain_scores_gemma":[0.46922514,0.34135255,0.063255295,0.034385588,0.08939435,0.002387053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.108316414,0.0009813593,0.0014942503,0.050717693,0.0018389681,0.0091424165,0.0028892348,0.0013586651,0.007433768],"category_scores_gemma":[0.39138117,0.0008763728,0.00089622557,0.15552706,0.0019038942,0.010227506,0.0059826747,0.0031327251,0.0021838623],"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":[0.0006177661,0.00025522787,0.20410839,0.008615291,0.0010169275,0.00048933114,0.012327695,0.0031230925,0.00052613154,0.1984803,0.14189953,0.4285404],"study_design_scores_gemma":[0.00011911544,0.00015900904,0.17533278,0.011707592,0.0004296537,0.00051088276,0.011710646,0.0017984617,0.0020535572,0.035456933,0.7604887,0.0002326134],"about_ca_topic_score_codex":0.010611071,"about_ca_topic_score_gemma":0.0052410737,"teacher_disagreement_score":0.108316414,"about_ca_system_score_codex":0.0059915422,"about_ca_system_score_gemma":0.005886918,"threshold_uncertainty_score":0.5728388},"labels":[],"label_agreement":null},{"id":"W1532738394","doi":"10.1111/caje.12040","title":"Seasonal adjustment, demography, and GDP growth","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Great Moderation; Seasonality; Seasonal adjustment; Volatility (finance); Economics; Real gross domestic product; Moderation; Demographic economics; Econometrics; Demography; Geography; Statistics; Biology; Ecology; Mathematics; Variable (mathematics)","score_opus":0.08413331303011247,"score_gpt":0.15851738186014716,"score_spread":0.07438406883003469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1532738394","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":[0.9559593,0.0022353614,0.0037722709,0.0047574434,0.00006927028,0.000021377049,0.007916369,0.00007579255,0.025192717],"genre_scores_gemma":[0.9973304,0.00047710325,0.00020933159,0.000035669556,0.000018525994,0.0000027502447,0.000981524,0.000006153694,0.00093854475],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998783,0.000023251398,0.00000867567,0.000025069503,0.000028210065,0.000036399633],"domain_scores_gemma":[0.99871325,0.00027748194,0.00048001815,0.00007338977,0.0002497701,0.00020607495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034224908,0.00011828385,0.00014226287,0.0007952239,0.00022597972,0.0006787524,0.00011497371,0.00016837269,0.002884952],"category_scores_gemma":[0.003094145,0.00006680292,0.00016187948,0.0018211978,0.00045731987,0.00038660906,0.00037895658,0.00040519505,0.00017761266],"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":[0.000083945095,0.000029903298,0.9019766,0.000073853866,0.00013259042,0.00024355965,0.0005104228,0.01991261,0.00053705985,0.032220565,0.007291984,0.036986835],"study_design_scores_gemma":[0.0000045479173,0.0000123954815,0.95700103,0.0000356477,0.000021282214,0.00007245057,0.0005177853,0.011411112,0.00022940623,0.01658694,0.014094113,0.000013340824],"about_ca_topic_score_codex":0.15918255,"about_ca_topic_score_gemma":0.13177668,"teacher_disagreement_score":0.15918255,"about_ca_system_score_codex":0.0015695886,"about_ca_system_score_gemma":0.0009197946,"threshold_uncertainty_score":0.316512},"labels":[],"label_agreement":null},{"id":"W1533383278","doi":"10.2139/ssrn.2324566","title":"The Quantitative Importance of Openness in Development","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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 Winnipeg","funders":"","keywords":"Economics; Industrialisation; Capital good; Prosperity; Capital (architecture); Open economy; Openness to experience; Dual economy; Pace; Capital deepening; Investment (military); Capital formation; Technological change; Market economy; Economic system; Monetary economics; Human capital; Exchange rate; Macroeconomics; Financial capital; Economic growth; Goods and services","score_opus":0.021394824873625713,"score_gpt":0.21957881077299646,"score_spread":0.19818398589937075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1533383278","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":[0.8035435,0.0061989063,0.058336947,0.006973168,0.00021618097,0.000030042085,0.001006603,0.00014816385,0.12354642],"genre_scores_gemma":[0.9983316,0.00037306608,0.0004742212,0.000022440627,0.000046872,0.000004364813,0.000028252382,0.000006588528,0.0007126073],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992901,0.0003243002,0.000040226223,0.00009913091,0.00015332026,0.0000928296],"domain_scores_gemma":[0.984244,0.010838223,0.0024126833,0.00094840256,0.00068200805,0.0008747123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018011273,0.00017499244,0.00029673462,0.0016810618,0.000411907,0.0021558674,0.00022521376,0.00048432316,0.004304813],"category_scores_gemma":[0.013787972,0.00015736512,0.00027026288,0.0020268797,0.0032496422,0.0037981884,0.001502091,0.00080298254,0.00013522453],"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":[0.00021738264,0.00005359554,0.08406673,0.0002934569,0.00015790132,0.0002914552,0.0005106266,0.019379415,0.0015639791,0.842989,0.0015862118,0.04889033],"study_design_scores_gemma":[0.000016249332,0.000044454122,0.066641025,0.0000668313,0.00004740613,0.00024521293,0.00043114508,0.0071638897,0.00045629675,0.9208914,0.0039793146,0.000016804135],"about_ca_topic_score_codex":0.0007774642,"about_ca_topic_score_gemma":0.00074454426,"teacher_disagreement_score":0.004304813,"about_ca_system_score_codex":0.00080416445,"about_ca_system_score_gemma":0.00039996637,"threshold_uncertainty_score":0.014401078},"labels":[],"label_agreement":null},{"id":"W1533527726","doi":"10.3233/jem-2003-0209","title":"On a dual measure of the utilization rate of capital","year":2003,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Dual (grammatical number); Measure (data warehouse); Capital (architecture); Economics; Econometrics; Computer science; Data mining; Geography; Philosophy","score_opus":0.10109287447604608,"score_gpt":0.228275519864622,"score_spread":0.12718264538857593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1533527726","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":[0.15897322,0.006035201,0.7707944,0.0042446684,0.00078871945,0.000101075304,0.00090730865,0.00020758838,0.05794784],"genre_scores_gemma":[0.9039046,0.0042832214,0.07854528,0.00037804616,0.0014097624,0.000149685,0.00052535685,0.00012500006,0.010679076],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99668914,0.0011360644,0.00019389171,0.00078124506,0.000873809,0.00032593613],"domain_scores_gemma":[0.9872032,0.006030762,0.0023320857,0.0018604118,0.0018682206,0.00070524804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032694982,0.0009016409,0.00083152106,0.0039133215,0.00051951426,0.0039435574,0.0014266784,0.0014836306,0.0040387604],"category_scores_gemma":[0.021355882,0.00032852913,0.0007265952,0.0033804001,0.0038799236,0.009092592,0.0036216099,0.0026792446,0.0010102205],"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":[0.000080567625,0.00005083149,0.005254416,0.00009016196,0.000022881284,0.00011678622,0.00032694146,0.0052234414,0.0017342417,0.96240526,0.0015689967,0.02312556],"study_design_scores_gemma":[0.000026326727,0.00020582354,0.013103013,0.00029332173,0.00006235486,0.0009954567,0.0004387758,0.10741286,0.004951854,0.83778757,0.03457468,0.00014796664],"about_ca_topic_score_codex":0.0011024899,"about_ca_topic_score_gemma":0.00040872753,"teacher_disagreement_score":0.0040387604,"about_ca_system_score_codex":0.002029199,"about_ca_system_score_gemma":0.00075881503,"threshold_uncertainty_score":0.01729095},"labels":[],"label_agreement":null},{"id":"W1534459837","doi":"","title":"Croissance des exportations, utilisation de la capacite et croissance de la productivite : donnees sur les etablissements de fabrication canadiens","year":2011,"lang":"fr","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"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":"Political science; Humanities; Art","score_opus":0.06342681665661395,"score_gpt":0.24521580571248253,"score_spread":0.18178898905586857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1534459837","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":[0.9758636,0.0035013882,0.00083239214,0.00014895744,0.000004824582,0.000032389617,0.0023376024,0.000023490378,0.017255465],"genre_scores_gemma":[0.98116356,0.0023757701,0.0008089204,0.000032720185,0.0000044317608,0.000030210762,0.0016347202,0.000020348652,0.013929374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879456,0.000101934114,0.00005217095,0.0002028393,0.0006561116,0.0001922676],"domain_scores_gemma":[0.99347574,0.0028050689,0.0010653437,0.0003690368,0.0019893912,0.00029543505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017031521,0.00037651617,0.00037935688,0.0030096322,0.0011660801,0.002202392,0.00069761515,0.00040693214,0.006130275],"category_scores_gemma":[0.0060566636,0.00023806412,0.000609228,0.0067023966,0.0012805553,0.0009569406,0.0005484225,0.00057111616,0.00056155823],"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":[0.0004499826,0.00011603145,0.79677784,0.000697603,0.00025658193,0.00043541123,0.012707501,0.006083009,0.006169258,0.004761202,0.0017824878,0.16976306],"study_design_scores_gemma":[0.000003033714,0.00005250686,0.98125595,0.00008692084,0.00004316976,0.00009135622,0.0031398088,0.0005148124,0.001879521,0.00024956983,0.012659615,0.000023721312],"about_ca_topic_score_codex":0.72839326,"about_ca_topic_score_gemma":0.8366404,"teacher_disagreement_score":0.27160674,"about_ca_system_score_codex":0.012082694,"about_ca_system_score_gemma":0.0055842106,"threshold_uncertainty_score":0.5464126},"labels":[],"label_agreement":null},{"id":"W1534636292","doi":"","title":"Explaining The Gaps In Labour Productivity In Some Developed Countries: New Zealand, Australia, The United States And Canada, 1988-2004","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Productivity; Economics; Developing country; Development economics; Human capital; Developed country; Politics; Sample (material); Total factor productivity; Demographic economics; International trade; Economic geography; Economic growth; Political science; Sociology","score_opus":0.017564120656265145,"score_gpt":0.22094112564280705,"score_spread":0.2033770049865419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1534636292","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":[0.9801325,0.0018069245,0.00041034637,0.0012543397,0.000024362174,0.00004077975,0.011450802,0.000028236076,0.00485169],"genre_scores_gemma":[0.9869032,0.0012114458,0.0003883896,0.000053024578,0.000011686831,0.000026884982,0.008290339,0.000009169548,0.0031059466],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99963045,0.000016857455,0.000024626974,0.000051286457,0.000109376364,0.00016732914],"domain_scores_gemma":[0.9980363,0.00015774285,0.00044823802,0.00005832841,0.000967685,0.00033168713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082066574,0.0004076221,0.00046684538,0.0019157148,0.0013739556,0.0011570592,0.00065963034,0.000314548,0.0015799889],"category_scores_gemma":[0.003190963,0.00020766558,0.0004552352,0.004808324,0.00063123717,0.0006523336,0.0010843746,0.0009926779,0.00022016322],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017886165,0.000067590736,0.9571868,0.00014071302,0.00017111804,0.000443748,0.0027561127,0.0050942255,0.00024752208,0.003328513,0.008210316,0.022174446],"study_design_scores_gemma":[0.00001621953,0.000012072024,0.98946303,0.000033030017,0.000046452737,0.000041224215,0.0018314188,0.0025512376,0.00018484505,0.00042583773,0.0053825085,0.000012143187],"about_ca_topic_score_codex":0.97685814,"about_ca_topic_score_gemma":0.9832218,"teacher_disagreement_score":0.9889452,"about_ca_system_score_codex":0.011054797,"about_ca_system_score_gemma":0.015166291,"threshold_uncertainty_score":0.08020854},"labels":[],"label_agreement":null},{"id":"W1535015888","doi":"","title":"Proposition pour le traitement de la recherche et du developpement comme une depense en immobilisations dans le SCN du Canada","year":2006,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.112910130710623,"score_gpt":0.31586216046821053,"score_spread":0.20295202975758753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1535015888","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55209774,0.008922348,0.2970869,0.033863105,0.00056664605,0.00046905142,0.010405828,0.0007665877,0.09582183],"genre_scores_gemma":[0.879436,0.0030999454,0.0902933,0.0012277615,0.0001025725,0.00023266299,0.0012109525,0.000100260935,0.024296526],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968869,0.0006208247,0.00017087779,0.0006288111,0.0011747417,0.0005178851],"domain_scores_gemma":[0.9922201,0.00304496,0.0008769568,0.0004651428,0.0029943052,0.000398573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004146466,0.0007405801,0.0008407507,0.002353405,0.0021108948,0.006834958,0.0012036293,0.0012240998,0.0072658174],"category_scores_gemma":[0.011653813,0.0004580703,0.001222794,0.0028623028,0.004222846,0.0025806772,0.0012756517,0.0020788773,0.0005003986],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035468143,0.000103819846,0.12307744,0.0006992815,0.00030406794,0.0004827137,0.005047332,0.04526979,0.0056607705,0.71658564,0.011955081,0.090459466],"study_design_scores_gemma":[0.00019595749,0.00040842057,0.33027524,0.0012348416,0.0007975535,0.0012936185,0.012020147,0.12104721,0.019467784,0.30654025,0.20622441,0.00049456285],"about_ca_topic_score_codex":0.81925935,"about_ca_topic_score_gemma":0.7783009,"teacher_disagreement_score":0.9783316,"about_ca_system_score_codex":0.02166839,"about_ca_system_score_gemma":0.041040108,"threshold_uncertainty_score":0.3636101},"labels":[],"label_agreement":null},{"id":"W1535401753","doi":"10.3386/w12677","title":"World Technology Usage Lags","year":2006,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; City University of New York; National Science Foundation","keywords":"Per capita; Total factor productivity; Productivity; Sample (material); Economics; Econometrics; Demographic economics; Macroeconomics; Demography; Population","score_opus":0.21466941124867828,"score_gpt":0.4083834572660957,"score_spread":0.19371404601741743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1535401753","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":[0.8477172,0.0064295568,0.005922299,0.0010869525,0.00018152225,0.000033596367,0.077512234,0.00031583197,0.06080069],"genre_scores_gemma":[0.9702229,0.0025224206,0.0010037735,0.00012592392,0.00006510097,0.00003369553,0.022594666,0.000054626682,0.003376888],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989525,0.00016109417,0.00012183078,0.00026782547,0.00032032054,0.00017634145],"domain_scores_gemma":[0.98459077,0.00448494,0.0077276756,0.001300862,0.0013997211,0.00049605116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008981554,0.00052670547,0.00029487783,0.005881816,0.00029168636,0.002407583,0.00027393602,0.00028709896,0.011737994],"category_scores_gemma":[0.008893696,0.00020973808,0.00063065503,0.01706431,0.0005015556,0.0021716035,0.0009591504,0.00084613945,0.0026028052],"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":[0.0002817787,0.00010787779,0.8538982,0.00057223433,0.00042327194,0.0004748307,0.0012590614,0.008967091,0.0010389076,0.030866005,0.015668862,0.086441934],"study_design_scores_gemma":[0.000031375785,0.00013710353,0.8968083,0.00023902251,0.00014758705,0.0005747717,0.0012163508,0.0024492764,0.0022458618,0.008042564,0.088032685,0.000075039105],"about_ca_topic_score_codex":0.004267679,"about_ca_topic_score_gemma":0.003514154,"teacher_disagreement_score":0.011737994,"about_ca_system_score_codex":0.00048256054,"about_ca_system_score_gemma":0.00036673984,"threshold_uncertainty_score":0.03926754},"labels":[],"label_agreement":null},{"id":"W1536606104","doi":"","title":"Future Productivity Growth in Canada: The Role of the Service Sector","year":2003,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Tertiary sector of the economy; Service (business); Production (economics); Agricultural economics; Economic growth; Economy; Macroeconomics","score_opus":0.01248636262026326,"score_gpt":0.17989826361476613,"score_spread":0.16741190099450287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1536606104","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057098966,0.10413096,0.0014369064,0.6798493,0.0038517858,0.000042339034,0.0045177937,0.00015903589,0.14891292],"genre_scores_gemma":[0.75623304,0.17029521,0.0021734978,0.01981174,0.0014328618,0.000037663674,0.0024492636,0.0001025554,0.047464117],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9964695,0.00016667505,0.00007609872,0.00013596527,0.0015289267,0.0016228054],"domain_scores_gemma":[0.99197173,0.0004581968,0.00036086296,0.000058857346,0.005170484,0.001979886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021098575,0.00063190795,0.00046971405,0.0033820567,0.009332986,0.010303028,0.0010787294,0.0021354589,0.0065773223],"category_scores_gemma":[0.0058041825,0.00025159496,0.00051583844,0.009122779,0.0032592444,0.0035894234,0.0022643167,0.004180856,0.00062564656],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0002382718,0.00006010598,0.068152376,0.00072066084,0.000069623224,0.0007178061,0.0070905993,0.0024909615,0.00046297465,0.2430484,0.48863077,0.1883174],"study_design_scores_gemma":[0.00003805234,0.000050231683,0.1663629,0.001581689,0.00008661528,0.0002963648,0.019315528,0.0046299146,0.0006669239,0.030587897,0.776168,0.00021592627],"about_ca_topic_score_codex":0.99646133,"about_ca_topic_score_gemma":0.9976737,"teacher_disagreement_score":0.8318819,"about_ca_system_score_codex":0.16811812,"about_ca_system_score_gemma":0.28951004,"threshold_uncertainty_score":0.9648651},"labels":[],"label_agreement":null},{"id":"W1536897967","doi":"10.4000/interventionseconomiques.562","title":"Le rôle des institutions dans le processus de l’innovation ; l’apport de Thorstein Veblen","year":2007,"lang":"fr","type":"article","venue":"Interventions économiques","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Université du Québec à Montréal","funders":"","keywords":"Veblen good; Humanities; Sociology; Political science; Philosophy; Neoclassical economics; Economics","score_opus":0.09203766049365916,"score_gpt":0.2946422123393116,"score_spread":0.20260455184565243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1536897967","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":[0.04972035,0.15869913,0.12028271,0.22373809,0.0017208573,0.00015283968,0.00020130786,0.00016567924,0.44531903],"genre_scores_gemma":[0.73552346,0.08359826,0.03312424,0.01113718,0.0011091173,0.00026143697,0.00007042321,0.00012611174,0.13504985],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968076,0.0015338509,0.00009908988,0.00051820645,0.0007664967,0.00027482107],"domain_scores_gemma":[0.99364483,0.0042664674,0.0006068165,0.00047477358,0.0006406015,0.00036646848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051462348,0.0005373865,0.0005292406,0.0021481784,0.002131507,0.0056079114,0.00078865176,0.0044547087,0.004882217],"category_scores_gemma":[0.00934445,0.00031728696,0.00054127956,0.0019270282,0.012756533,0.007829294,0.002843307,0.002875879,0.0012189982],"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":[0.000037816284,0.000025640811,0.00066258345,0.00012722467,0.000009156744,0.000090694666,0.0007377806,0.0014015505,0.00017214894,0.97545266,0.0032798648,0.018002855],"study_design_scores_gemma":[0.000024522324,0.00003900755,0.0013592134,0.00040095364,0.000027299162,0.00014450293,0.00046205893,0.0017537045,0.000907709,0.8683844,0.12646508,0.000031569944],"about_ca_topic_score_codex":0.008025238,"about_ca_topic_score_gemma":0.006560609,"teacher_disagreement_score":0.008025238,"about_ca_system_score_codex":0.007808075,"about_ca_system_score_gemma":0.0056952233,"threshold_uncertainty_score":0.05665183},"labels":[],"label_agreement":null},{"id":"W1537133119","doi":"","title":"Stock Prices, Total Factor Productivity and Economic Fluctuations Some Further Evidence from Japanese and U.S. Sectoral Data","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Total factor productivity; Economics; Stock (firearms); Productivity; Short run; Monetary economics; Shock (circulatory); Stock price; Macroeconomics; Engineering","score_opus":0.09851366512971244,"score_gpt":0.31136454869115304,"score_spread":0.2128508835614406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1537133119","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":[0.9847473,0.0026366839,0.00048207233,0.0006910952,0.000026880389,0.000009687771,0.0060222796,0.000020568676,0.0053633032],"genre_scores_gemma":[0.99177015,0.0015919696,0.00019100537,0.00007214833,0.00006295831,0.0000053184353,0.0054343683,0.000009463693,0.0008624288],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995833,0.000056328794,0.00008825833,0.000095366515,0.00010688276,0.000069799986],"domain_scores_gemma":[0.9895365,0.00449425,0.0029743845,0.0006384508,0.0017220853,0.000634218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012741934,0.00040931045,0.00057764887,0.0023385554,0.0005063608,0.0021012751,0.0003381928,0.00037935254,0.0051792436],"category_scores_gemma":[0.009213918,0.00026031124,0.00062428426,0.0071523013,0.0005975757,0.0013827527,0.000744662,0.00071283954,0.00055861834],"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":[0.00025685644,0.000048192756,0.98058367,0.00010312122,0.00032729504,0.00018855404,0.00045261253,0.00072718045,0.00062144763,0.0016793559,0.0020515001,0.0129601555],"study_design_scores_gemma":[0.000016083417,0.000029145256,0.9957176,0.000017687036,0.00021978111,0.000044031494,0.00035674268,0.0010599727,0.00024346863,0.00072258624,0.0015608852,0.000012061258],"about_ca_topic_score_codex":0.067353636,"about_ca_topic_score_gemma":0.07725811,"teacher_disagreement_score":0.067353636,"about_ca_system_score_codex":0.00051106664,"about_ca_system_score_gemma":0.00069922354,"threshold_uncertainty_score":0.13392317},"labels":[],"label_agreement":null},{"id":"W1537221527","doi":"","title":"Innovation and Growth in the Knowledge-based Economy","year":2000,"lang":"en","type":"article","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Knowledge economy; Economic system; Business; Economics; Economic geography; Industrial organization; Economy","score_opus":0.018668323271678784,"score_gpt":0.20323515470650397,"score_spread":0.1845668314348252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1537221527","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":[0.5981233,0.021868626,0.022114854,0.014905897,0.00025954243,0.000068888614,0.000884199,0.00014878507,0.3416259],"genre_scores_gemma":[0.9853823,0.00618545,0.00080247683,0.000112945316,0.00011765463,0.000019390485,0.00011517977,0.0000073990327,0.0072570755],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995454,0.00013329944,0.000028830695,0.00007413715,0.00009928455,0.00011901109],"domain_scores_gemma":[0.9964844,0.0021999956,0.0006181334,0.00014174286,0.00027525987,0.00028042187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012720198,0.00035006294,0.00043231962,0.0015989183,0.00069934054,0.003861679,0.00032259792,0.0013691931,0.0047738063],"category_scores_gemma":[0.006036099,0.00012238378,0.0003558757,0.0029448897,0.0025372729,0.005297948,0.001481613,0.0009296183,0.0006968068],"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":[0.000105881874,0.00011051167,0.028548576,0.00019535558,0.00004679778,0.0005329892,0.0010620089,0.03203635,0.0003188893,0.87778336,0.0038409934,0.055418286],"study_design_scores_gemma":[0.000022970413,0.000045585894,0.027164094,0.00014687658,0.000029367417,0.0001766775,0.0007499011,0.019187419,0.00030343782,0.9332307,0.018914057,0.000028955108],"about_ca_topic_score_codex":0.008045056,"about_ca_topic_score_gemma":0.005123907,"teacher_disagreement_score":0.008045056,"about_ca_system_score_codex":0.002735931,"about_ca_system_score_gemma":0.0013647511,"threshold_uncertainty_score":0.019850612},"labels":[],"label_agreement":null},{"id":"W1537748269","doi":"10.34989/swp-2002-7","title":"Contribution of ICT Use to Output and Labour-Productivity Growth in Canada","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Productivity; Information and Communications Technology; Economics; Labour economics; Business; Economic growth; Political science","score_opus":0.04256246341142401,"score_gpt":0.2542559674413283,"score_spread":0.21169350402990428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1537748269","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":[0.9576761,0.0017474171,0.00019929951,0.0037595949,0.000038562604,0.000022726068,0.012957923,0.00005964207,0.023538627],"genre_scores_gemma":[0.9868254,0.0017529903,0.0001398225,0.00010033572,0.000013453761,0.0000070108345,0.0030119068,0.000021889697,0.008127233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908555,0.000050408693,0.000031822303,0.0000865486,0.00033925957,0.00040631945],"domain_scores_gemma":[0.99616027,0.00053516816,0.00038671098,0.00009262918,0.0021706375,0.0006546458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063693954,0.0003660132,0.00034886075,0.0021271969,0.0015581212,0.0024974607,0.00061110815,0.00033745446,0.0030251702],"category_scores_gemma":[0.0062289056,0.00013918012,0.0004510672,0.005898096,0.00073052006,0.00052523,0.0014153011,0.0009541216,0.0003126921],"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":[0.0004831225,0.00007780671,0.90065634,0.00019172137,0.00017255095,0.00069471024,0.0033673795,0.006509906,0.0006663636,0.0081029115,0.014393777,0.06468343],"study_design_scores_gemma":[0.000017964217,0.000021958082,0.97423685,0.00011256907,0.00009798767,0.00008131548,0.0036382596,0.004801772,0.0007217765,0.00065245485,0.015577258,0.00003987452],"about_ca_topic_score_codex":0.9966271,"about_ca_topic_score_gemma":0.99611,"teacher_disagreement_score":0.048113286,"about_ca_system_score_codex":0.048113286,"about_ca_system_score_gemma":0.062044043,"threshold_uncertainty_score":0.34908795},"labels":[],"label_agreement":null},{"id":"W1537995852","doi":"","title":"Investissement et croissance de la productivité à long terme dans le secteur des entreprises au Canada, 1961 à 2002","year":2007,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.03194707407389861,"score_gpt":0.2706531960451448,"score_spread":0.23870612197124622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1537995852","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":[0.96713346,0.0035907105,0.00061505137,0.00059926754,0.000014869069,0.000021482987,0.016813712,0.00004571565,0.011165729],"genre_scores_gemma":[0.9657079,0.003864336,0.0011712784,0.000085326195,0.000013158754,0.000024744819,0.009171993,0.000020374187,0.019940881],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994204,0.000027659886,0.000022383987,0.0000976574,0.0002806442,0.0001512441],"domain_scores_gemma":[0.99691856,0.00038412606,0.00054725405,0.00010091354,0.0016904359,0.00035874685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065966276,0.0003373496,0.0002685146,0.003913249,0.0013956644,0.0020538745,0.0005591118,0.0002688294,0.0026310794],"category_scores_gemma":[0.0023748656,0.0002540612,0.00043914517,0.009232956,0.0007836829,0.00047261198,0.0005291962,0.0005468821,0.0002820666],"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":[0.00019598857,0.000028235932,0.9313556,0.00015570116,0.00022066267,0.0001935359,0.0043938626,0.0025369627,0.0007801907,0.0042818375,0.0030408266,0.052816644],"study_design_scores_gemma":[0.000002620448,0.0000115644725,0.9875187,0.00004493001,0.00003179689,0.000028198008,0.0009893889,0.0004435981,0.00032203365,0.00009069276,0.010503794,0.000012697722],"about_ca_topic_score_codex":0.9903868,"about_ca_topic_score_gemma":0.99486923,"teacher_disagreement_score":0.0319325,"about_ca_system_score_codex":0.0319325,"about_ca_system_score_gemma":0.03293536,"threshold_uncertainty_score":0.2316876},"labels":[],"label_agreement":null},{"id":"W1539020212","doi":"10.2139/ssrn.1471427","title":"Understanding Productivity: A Primer","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"Statistics Canada","funders":"","keywords":"Primer (cosmetics); Productivity; Business; Economics; Chemistry","score_opus":0.04682043105805132,"score_gpt":0.20747469838921154,"score_spread":0.16065426733116023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1539020212","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004200485,0.25268424,0.17930312,0.32758468,0.00514613,0.00009040693,0.00072306505,0.00042682714,0.22984104],"genre_scores_gemma":[0.31341997,0.42066118,0.09139021,0.058972906,0.023377175,0.0007149408,0.0008912554,0.00063221355,0.08994015],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99856937,0.00055549416,0.000112215195,0.00032678436,0.00029069514,0.00014537259],"domain_scores_gemma":[0.99559814,0.0031889621,0.00021646293,0.0002679011,0.00049434445,0.00023420407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031661987,0.0014854607,0.0011893191,0.004917454,0.002028331,0.010227907,0.0027393184,0.0062627406,0.015524047],"category_scores_gemma":[0.0058832993,0.0007785233,0.0010663022,0.0056306175,0.010066695,0.023512058,0.0031374267,0.0082546,0.0055927224],"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":[0.000006819613,0.00003165047,0.00028829998,0.00014404947,0.00000788083,0.00004750746,0.0007637875,0.0003184122,0.00007795537,0.95481694,0.015950885,0.02754591],"study_design_scores_gemma":[0.00000380793,0.0000083580735,0.00026095554,0.00024407035,0.000003957748,0.00006883269,0.00041031974,0.00035960317,0.00007430916,0.8681402,0.13041502,0.000010582194],"about_ca_topic_score_codex":0.0040074545,"about_ca_topic_score_gemma":0.0023887972,"teacher_disagreement_score":0.015524047,"about_ca_system_score_codex":0.0045684944,"about_ca_system_score_gemma":0.0029962626,"threshold_uncertainty_score":0.05193317},"labels":[],"label_agreement":null},{"id":"W1540387507","doi":"","title":"Competitive Intensity as Driver of Innovation and Productivity Growth: A Synthesis of the Literature","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"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":"Productivity; Competition (biology); Empirical evidence; Competitive advantage; Industrial organization; Economics; Work (physics); Business; Economic growth; Management; Engineering","score_opus":0.030157752637230827,"score_gpt":0.2520012832123725,"score_spread":0.22184353057514164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1540387507","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031749185,0.9338974,0.0027293088,0.006822937,0.00033734395,0.000042697848,0.00028233626,0.000018727422,0.024120029],"genre_scores_gemma":[0.14663576,0.8495063,0.0012448081,0.00070465397,0.0007749265,0.000031510815,0.00020294652,0.0000113231945,0.00088778767],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99903405,0.0002238766,0.000107551554,0.00022641408,0.00028956396,0.000118602686],"domain_scores_gemma":[0.9875516,0.010324141,0.0011464218,0.00012973533,0.0006776256,0.00017044037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029367707,0.00081561465,0.0015925263,0.005390902,0.00050592533,0.006391339,0.0009933544,0.001696622,0.005701451],"category_scores_gemma":[0.0068639307,0.0004240434,0.0009642642,0.009808238,0.0014714601,0.0044334074,0.0013485728,0.0012275839,0.0007117056],"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":[0.0004895424,0.00055591314,0.082384996,0.06304513,0.0016800729,0.0008223154,0.0032403206,0.009363369,0.0013142204,0.17664686,0.010103103,0.6503541],"study_design_scores_gemma":[0.0000896946,0.001184981,0.31559813,0.052706245,0.0049041556,0.0021087423,0.013933152,0.012308076,0.00290655,0.2571746,0.3367933,0.0002923427],"about_ca_topic_score_codex":0.0027399398,"about_ca_topic_score_gemma":0.002838655,"teacher_disagreement_score":0.006391339,"about_ca_system_score_codex":0.0020976998,"about_ca_system_score_gemma":0.0025273955,"threshold_uncertainty_score":0.019073248},"labels":[],"label_agreement":null},{"id":"W1540731822","doi":"","title":"Explaining the gaps in labour productivity for some developed countries","year":2005,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Productivity; Economics; Developing country; Human capital; Development economics; Developed country; Total factor productivity; Sample (material); Politics; Demographic economics; Economic geography; International trade; Labour economics; Economic growth; Political science; Sociology","score_opus":0.03849622516579337,"score_gpt":0.23155029601962424,"score_spread":0.19305407085383086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1540731822","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":[0.9780086,0.0043462403,0.0022990357,0.0030464553,0.000043356085,0.000026697719,0.0020353599,0.000039759496,0.010154395],"genre_scores_gemma":[0.9966864,0.0012692572,0.00039893042,0.000076647986,0.000025293593,0.000014679491,0.0008325072,0.000006957948,0.0006893449],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958056,0.000047856036,0.000028555085,0.00006484858,0.00006815596,0.00021003527],"domain_scores_gemma":[0.9983972,0.00045874694,0.00055740465,0.0001339036,0.0002883125,0.00016457141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011252038,0.0003479752,0.00059319206,0.0021705455,0.00082072243,0.0013908612,0.00039447277,0.0005500291,0.0023105873],"category_scores_gemma":[0.0038969505,0.00024993118,0.00070038333,0.0031410079,0.00090594095,0.0010464137,0.0016683771,0.0012409502,0.0003365555],"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":[0.00029920434,0.00011373566,0.8494429,0.00046902456,0.00026036386,0.0011322956,0.005031438,0.032093916,0.0010989434,0.04325755,0.005505625,0.061294924],"study_design_scores_gemma":[0.00006275838,0.00006104788,0.93263036,0.000166053,0.00011968678,0.00017794645,0.0040947925,0.013260462,0.00067455403,0.036448177,0.01226807,0.00003616967],"about_ca_topic_score_codex":0.07554525,"about_ca_topic_score_gemma":0.06502756,"teacher_disagreement_score":0.07554525,"about_ca_system_score_codex":0.0020615454,"about_ca_system_score_gemma":0.0016831382,"threshold_uncertainty_score":0.15021104},"labels":[],"label_agreement":null},{"id":"W1541368200","doi":"","title":"Four Decades of Productivity Performance in Canada","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"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":"Productivity; Multifactor productivity; Economics; Labour economics; Human capital; Compensation (psychology); Demographic economics; Total factor productivity; Economic growth","score_opus":0.04985042878695327,"score_gpt":0.2597722577292827,"score_spread":0.2099218289423294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1541368200","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":[0.90136814,0.013102051,0.00048169307,0.00611219,0.00020211289,0.000051289233,0.040630728,0.00017494783,0.037876848],"genre_scores_gemma":[0.97495997,0.0030000848,0.00025519903,0.00023371924,0.00003320501,0.000011196772,0.007741014,0.000028729199,0.013736909],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979633,0.000046486846,0.00007894056,0.00021516875,0.000819214,0.0008767978],"domain_scores_gemma":[0.9935155,0.00019971842,0.000694239,0.0001386119,0.004288367,0.0011635843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013329008,0.00047077256,0.000556149,0.005154708,0.003128225,0.0028063997,0.0011378607,0.0006730106,0.0042211665],"category_scores_gemma":[0.003908254,0.00027591025,0.00059155637,0.012265855,0.0009011818,0.00087527715,0.0010750792,0.0009044778,0.00067192235],"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":[0.00044645253,0.00008106356,0.84556305,0.0003122209,0.0002638168,0.00048631945,0.0060373466,0.0029157402,0.000786319,0.0062604696,0.030203523,0.1066437],"study_design_scores_gemma":[0.0000050890126,0.000018378272,0.97804993,0.0000657374,0.000025661266,0.00004663779,0.0010410983,0.00043385007,0.00016535776,0.00008543353,0.020030633,0.000032233012],"about_ca_topic_score_codex":0.99800044,"about_ca_topic_score_gemma":0.99835604,"teacher_disagreement_score":0.078077294,"about_ca_system_score_codex":0.078077294,"about_ca_system_score_gemma":0.08259695,"threshold_uncertainty_score":0.56649303},"labels":[],"label_agreement":null},{"id":"W1541874697","doi":"","title":"Revisions to GDP Estimates in the U.S","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Schedule; Estimation; Economics; Annual report; Econometrics; National accounts; Macroeconomics; Geography; Accounting","score_opus":0.06734970759740432,"score_gpt":0.3178830589354452,"score_spread":0.2505333513380409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1541874697","genre_codex":"dataset","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":[0.02848774,0.009919131,0.025749486,0.023958618,0.023149472,0.0006203769,0.5941904,0.007089212,0.28683558],"genre_scores_gemma":[0.12572277,0.01625087,0.044777963,0.0041961772,0.002340164,0.0016016195,0.5984873,0.003563801,0.20305933],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99266535,0.001140422,0.0007799134,0.00073810096,0.004201197,0.00047489288],"domain_scores_gemma":[0.9773515,0.0017645496,0.0011388237,0.0014890446,0.017881466,0.00037456022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041815313,0.0009840024,0.0006436632,0.009036329,0.0008357259,0.0033914058,0.0011620822,0.0008600967,0.021896038],"category_scores_gemma":[0.039066583,0.0005134352,0.0007823681,0.012245698,0.00042368763,0.0016251085,0.0013501889,0.0034891479,0.027473671],"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":[0.000039039427,0.000021903206,0.0043644356,0.000114761104,0.000025344712,0.000049170438,0.00021190694,0.0013478446,0.00016840997,0.014693386,0.9246219,0.054341923],"study_design_scores_gemma":[0.000009229953,0.000014602772,0.011623337,0.00014492402,0.0000145620525,0.000051609044,0.00017622884,0.00069269096,0.00041789835,0.0022907348,0.984537,0.000027148011],"about_ca_topic_score_codex":0.11223419,"about_ca_topic_score_gemma":0.06578189,"teacher_disagreement_score":0.11223419,"about_ca_system_score_codex":0.0040138317,"about_ca_system_score_gemma":0.0042942613,"threshold_uncertainty_score":0.22316182},"labels":[],"label_agreement":null},{"id":"W1542130689","doi":"","title":"Determinants of Trends in Living Standards in Canada and the United States, 1989-2000","year":2001,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Environmental health; Geography; Political science; Psychology; Gerontology; Demography; Medicine; Sociology","score_opus":0.02615690441869001,"score_gpt":0.2672952228707372,"score_spread":0.2411383184520472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1542130689","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":[0.94978464,0.003123931,0.00017951557,0.005351893,0.00007736774,0.000048264377,0.02654336,0.00005232847,0.014838728],"genre_scores_gemma":[0.9875266,0.0014033192,0.00013330863,0.00018263698,0.000015883741,0.000011199754,0.006628535,0.000009568107,0.004088954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943584,0.000019943964,0.0000322264,0.000054117598,0.00023878056,0.00021918862],"domain_scores_gemma":[0.9954757,0.00015176844,0.0006337063,0.00006376416,0.0027496829,0.0009253733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005792958,0.00020678868,0.0002826214,0.0019752458,0.0019938964,0.0014371353,0.00081042136,0.00037642554,0.0027957843],"category_scores_gemma":[0.0036210075,0.00015998041,0.0004118363,0.0056989347,0.0005552592,0.0004391739,0.00080014986,0.001149962,0.00032679416],"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":[0.00010679621,0.0000560328,0.9725466,0.000028856146,0.000070589595,0.000098420285,0.00064424664,0.000631602,0.00006437759,0.0012211238,0.010797088,0.0137343835],"study_design_scores_gemma":[0.000005524616,0.0000072665157,0.9948139,0.000030097364,0.000014623504,0.00002626719,0.00080579106,0.00045550932,0.00005668083,0.000075848846,0.0037004792,0.000007924508],"about_ca_topic_score_codex":0.996828,"about_ca_topic_score_gemma":0.99761707,"teacher_disagreement_score":0.028825272,"about_ca_system_score_codex":0.028825272,"about_ca_system_score_gemma":0.029151209,"threshold_uncertainty_score":0.20914292},"labels":[],"label_agreement":null},{"id":"W1542319041","doi":"","title":"Measuring the Canada-U.S. productivity gap: industry dimensions","year":2004,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Productivity; Tertiary sector of the economy; Multifactor productivity; Total factor productivity; Real estate; Economics; Manufacturing; Agricultural economics; Labour economics; Business; Economy; Economic growth; Finance; Marketing","score_opus":0.06043007151203058,"score_gpt":0.19431426172878952,"score_spread":0.13388419021675893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1542319041","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":[0.71624637,0.0078420825,0.0037277483,0.008172378,0.0002868003,0.0004943258,0.07906654,0.00025360798,0.1839101],"genre_scores_gemma":[0.96354455,0.0025320803,0.005098426,0.0006043751,0.000038072027,0.00020892282,0.016157452,0.000041489453,0.011774778],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978908,0.00008598384,0.00007577013,0.00010467661,0.001337071,0.00050574564],"domain_scores_gemma":[0.99431485,0.00026405414,0.00058076927,0.00007512004,0.0040048133,0.0007602928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014030568,0.00033161198,0.00036280858,0.008665059,0.0032352097,0.0032708503,0.0009668478,0.00049859885,0.004532169],"category_scores_gemma":[0.004986834,0.00013373156,0.00042826848,0.018387996,0.0007395716,0.0010398261,0.0019286512,0.00064997846,0.0006688913],"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":[0.00007628891,0.00015133682,0.76249576,0.00035628604,0.00013230016,0.00012767548,0.0032063483,0.0012893648,0.00052631216,0.018034888,0.09762997,0.11597333],"study_design_scores_gemma":[0.000009389195,0.000019710491,0.9554321,0.00010800207,0.00003218962,0.000048548816,0.0039036975,0.0009802852,0.00031609356,0.0007927066,0.038334094,0.000023192697],"about_ca_topic_score_codex":0.9833771,"about_ca_topic_score_gemma":0.98901117,"teacher_disagreement_score":0.028579986,"about_ca_system_score_codex":0.028579986,"about_ca_system_score_gemma":0.07020452,"threshold_uncertainty_score":0.20736331},"labels":[],"label_agreement":null},{"id":"W1542697112","doi":"","title":"Toward Sustainability: Technology Transition and Endogenous Population Growth","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Université Laval","funders":"","keywords":"Economics; Population; Overlapping generations model; Inefficiency; Microeconomics; Sustainability","score_opus":0.04351088820170074,"score_gpt":0.26229810227553924,"score_spread":0.2187872140738385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1542697112","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":[0.2920905,0.0052525606,0.48218554,0.037536476,0.00040503126,0.00012812791,0.000355662,0.00028762512,0.1817585],"genre_scores_gemma":[0.9697496,0.0022821105,0.0131433895,0.0009131542,0.00018841242,0.00009542679,0.00005900615,0.00003553509,0.013533372],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993825,0.0002618218,0.00001644843,0.00011134391,0.000092715636,0.00013513661],"domain_scores_gemma":[0.99848276,0.00070995546,0.0002889566,0.00014235216,0.00019846576,0.0001775383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010873331,0.00039984877,0.00043722207,0.0007620274,0.00091908814,0.0021663185,0.0006378532,0.0015857546,0.0055936477],"category_scores_gemma":[0.0050956346,0.00018184847,0.00077893207,0.00092136563,0.0032770825,0.0041788453,0.0024403355,0.0017147828,0.0004751062],"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":[0.0000142857425,0.000022181333,0.0010180568,0.00004027306,0.000009734265,0.00015791273,0.00027872046,0.015111657,0.00040229937,0.97505695,0.0012152792,0.0066726035],"study_design_scores_gemma":[0.000011891659,0.000015316928,0.0003942095,0.000020834,0.000004567854,0.000088762,0.0001467691,0.02687659,0.0001793765,0.9670163,0.005238092,0.000007211562],"about_ca_topic_score_codex":0.0025237831,"about_ca_topic_score_gemma":0.0014433538,"teacher_disagreement_score":0.0055936477,"about_ca_system_score_codex":0.0017834487,"about_ca_system_score_gemma":0.0011110863,"threshold_uncertainty_score":0.01871264},"labels":[],"label_agreement":null},{"id":"W1544819568","doi":"","title":"Canada's Recent Productivity Record and Capital Accumulation","year":2003,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Depreciation (economics); Capital deepening; Productivity; Labour economics; Unemployment; Capital intensity; Liberian dollar; Output gap; Capital (architecture); Investment (military); Wage; Human capital; Monetary economics; Capital formation; Financial capital; Macroeconomics; Market economy; Monetary policy; Finance","score_opus":0.03899697911008302,"score_gpt":0.2385746208796339,"score_spread":0.1995776417695509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1544819568","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":[0.74954075,0.05312931,0.0018427868,0.046435684,0.00080856343,0.000052561336,0.042535905,0.0003064278,0.105348155],"genre_scores_gemma":[0.9616706,0.01578645,0.00053516775,0.0007180889,0.00019146997,0.000009065502,0.0068447436,0.000026909629,0.014217529],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999129,0.000018578387,0.000041451756,0.000074382755,0.00046295396,0.0002736805],"domain_scores_gemma":[0.9939465,0.00037537282,0.001317856,0.00011262188,0.0035683054,0.00067948655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006072975,0.00026037428,0.00029018408,0.0046088155,0.002675471,0.0036725735,0.00069643307,0.00036598684,0.004221331],"category_scores_gemma":[0.0043077366,0.00015988738,0.000291544,0.012814264,0.00064483477,0.0008943715,0.0009558303,0.0011391449,0.00029042322],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023706626,0.00006763634,0.7448988,0.00063730235,0.0002611212,0.00070800976,0.0030801992,0.0028517996,0.0006363401,0.027560985,0.07559182,0.143469],"study_design_scores_gemma":[0.000008390378,0.000025643747,0.8686371,0.00018574143,0.0000643354,0.00016383623,0.001517937,0.00094311277,0.0008608375,0.00082157913,0.12672095,0.00005060755],"about_ca_topic_score_codex":0.97585094,"about_ca_topic_score_gemma":0.9878719,"teacher_disagreement_score":0.9696843,"about_ca_system_score_codex":0.030315699,"about_ca_system_score_gemma":0.029884756,"threshold_uncertainty_score":0.21995682},"labels":[],"label_agreement":null},{"id":"W1546773109","doi":"","title":"Intrinsic Business Cycles with Pro-Cyclical R&D","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business cycle; Economics; Investment (military); Production (economics); Work (physics); Empirical evidence; Monetary economics; Microeconomics; Keynesian economics; Engineering","score_opus":0.042034920859529805,"score_gpt":0.271223700061574,"score_spread":0.22918877920204417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1546773109","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":[0.8001427,0.0049053887,0.13691854,0.00388142,0.0001541693,0.00015225973,0.0013783602,0.00034852797,0.052118696],"genre_scores_gemma":[0.9868737,0.0017617476,0.0046592425,0.00016496566,0.00017616762,0.00008223742,0.00038570748,0.00003218216,0.005864159],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99927896,0.00014842623,0.000053292173,0.00024565487,0.0001554586,0.00011831337],"domain_scores_gemma":[0.9876765,0.0031098716,0.0069683674,0.0010826347,0.00060322264,0.0005595175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001489182,0.0004608422,0.00058132625,0.0011204147,0.0004947763,0.0023831348,0.0007004774,0.0011108302,0.005665826],"category_scores_gemma":[0.017102815,0.00042381787,0.0005731305,0.0020906595,0.001663568,0.0021160932,0.0015145923,0.0012071576,0.00058023183],"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":[0.00021604991,0.0001423915,0.17490909,0.00054038834,0.0002014256,0.0009614589,0.0006914118,0.09340656,0.0030966676,0.61076474,0.0055595827,0.10951026],"study_design_scores_gemma":[0.000060460014,0.00012378444,0.1683527,0.00012705194,0.0001492089,0.0014375792,0.00027485416,0.18635622,0.0016253797,0.62024266,0.021169659,0.000080494094],"about_ca_topic_score_codex":0.001984113,"about_ca_topic_score_gemma":0.0017909613,"teacher_disagreement_score":0.005665826,"about_ca_system_score_codex":0.0011961375,"about_ca_system_score_gemma":0.0006188912,"threshold_uncertainty_score":0.018954098},"labels":[],"label_agreement":null},{"id":"W1547026846","doi":"","title":"La comparaison des niveaux de vie au Canada et aux Etats-Unis - une perspective regionale./A Regional Perspective on the Canada-U.S. Standard of Living Comparison","year":2000,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Standard of living; Perspective (graphical); Productivity; Geography; Political science; Welfare economics; Humanities; Economic growth; Economics; Art; Law","score_opus":0.05781759570334347,"score_gpt":0.312856750832066,"score_spread":0.2550391551287225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1547026846","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":[0.40007502,0.09453064,0.01503704,0.033781126,0.00066692545,0.00011120917,0.012607967,0.0003281334,0.4428619],"genre_scores_gemma":[0.94748694,0.01858678,0.010283312,0.0009093336,0.00013813646,0.000049575512,0.0020089673,0.00010150924,0.020435503],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974051,0.00038862033,0.00007254967,0.00027950568,0.0011162806,0.0007379263],"domain_scores_gemma":[0.99621636,0.00050929486,0.0003563048,0.00013027887,0.0024398628,0.00034793452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018473064,0.00042609414,0.0006834183,0.007075146,0.0034570273,0.0056803375,0.0009810298,0.0005787958,0.0051589864],"category_scores_gemma":[0.004250056,0.00019989544,0.00090944575,0.0153032355,0.0018150071,0.0016829995,0.0011375281,0.0014200339,0.00022419565],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017943735,0.00004593598,0.08684136,0.0003878324,0.00040025977,0.00032846315,0.006563521,0.006009459,0.0009990694,0.7369801,0.024574723,0.13668986],"study_design_scores_gemma":[0.000025141895,0.00006695081,0.59291613,0.00093438907,0.00022786741,0.00030606557,0.012846951,0.005704525,0.0010890444,0.045747943,0.3399833,0.0001516587],"about_ca_topic_score_codex":0.98909295,"about_ca_topic_score_gemma":0.99196154,"teacher_disagreement_score":0.057445906,"about_ca_system_score_codex":0.057445906,"about_ca_system_score_gemma":0.047416393,"threshold_uncertainty_score":0.41680115},"labels":[],"label_agreement":null},{"id":"W1547499626","doi":"10.3386/w8754","title":"Why has the Employment-Productivity Tradeoff among Industrialized Countries been so strong?","year":2002,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Productivity; Developed country; Demographic economics; Developing country; Economics; Labour economics; Business; Economic growth; Demography; Sociology; Population","score_opus":0.4921003807895376,"score_gpt":0.42800504045942,"score_spread":0.0640953403301176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1547499626","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":[0.98664135,0.0019659493,0.0006555342,0.0052747126,0.000027529986,0.0000070734895,0.0003128818,0.000017826917,0.0050971983],"genre_scores_gemma":[0.9985967,0.0005327056,0.00013747644,0.00029412814,0.000039889477,0.0000031665404,0.0001474059,0.0000027535316,0.00024587844],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934345,0.000105232364,0.000038625054,0.00018985898,0.000086429056,0.0002364303],"domain_scores_gemma":[0.99735284,0.00066297245,0.0011847137,0.00021656419,0.00024717505,0.0003358224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015201913,0.00018940582,0.00067626906,0.001677609,0.0013079591,0.00221659,0.00045211046,0.001052399,0.0027407727],"category_scores_gemma":[0.0043621687,0.00024108266,0.00040603432,0.0038124,0.001522647,0.0020471301,0.0017012754,0.0012795915,0.0003327216],"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":[0.00038057528,0.00011690141,0.8762212,0.00017929934,0.00023159309,0.0006935906,0.005071517,0.002433344,0.0017210316,0.022148816,0.0020436526,0.0887585],"study_design_scores_gemma":[0.000035132154,0.00011163773,0.97336435,0.000079847145,0.00006313057,0.00035435555,0.0056413077,0.00069159997,0.00046480555,0.013680457,0.005488722,0.000024502959],"about_ca_topic_score_codex":0.01063878,"about_ca_topic_score_gemma":0.013728588,"teacher_disagreement_score":0.01063878,"about_ca_system_score_codex":0.0009836457,"about_ca_system_score_gemma":0.00062057516,"threshold_uncertainty_score":0.021153688},"labels":[],"label_agreement":null},{"id":"W1547861064","doi":"","title":"Transition Countries Clamber Aboard the Business Boom in Western Europe. Upswing masks persistent transition-related problems","year":2000,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Montenegro; Quarter (Canadian coin); Boom; Economics; Transition countries; Recession; Productivity; Development economics; Economy; Demographic economics; Geography; Economic growth; International economics; Macroeconomics","score_opus":0.02202448033723726,"score_gpt":0.19827124904855017,"score_spread":0.17624676871131292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1547861064","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":[0.70235896,0.06653318,0.004031785,0.028599793,0.0027057694,0.00013113546,0.0032075043,0.0006049543,0.19182697],"genre_scores_gemma":[0.9211698,0.03418887,0.002149296,0.0068108467,0.00040399676,0.000053777792,0.0022819843,0.00014310497,0.03279827],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99959403,0.000061012175,0.00002816103,0.00005611129,0.000063580235,0.0001970927],"domain_scores_gemma":[0.99949217,0.00006759277,0.00013669723,0.000037606806,0.00010945158,0.00015639508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006068821,0.00039440583,0.00044835533,0.0014267097,0.001536471,0.004948923,0.0002381304,0.00055775803,0.007250813],"category_scores_gemma":[0.0010035895,0.00015576046,0.00033999878,0.0030082518,0.00093286217,0.0026640669,0.002531717,0.0011457638,0.002484105],"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":[0.00081396574,0.0001923002,0.19639981,0.0013840742,0.00026565962,0.0055046766,0.015385813,0.00074348226,0.0031674355,0.0912708,0.094686896,0.5901851],"study_design_scores_gemma":[0.00003223702,0.00016608628,0.258393,0.0012555114,0.0001111743,0.0023075042,0.0388122,0.00014506196,0.000833211,0.010156234,0.6877429,0.00004487035],"about_ca_topic_score_codex":0.009597615,"about_ca_topic_score_gemma":0.012961019,"teacher_disagreement_score":0.009597615,"about_ca_system_score_codex":0.0008171904,"about_ca_system_score_gemma":0.0017533104,"threshold_uncertainty_score":0.024256408},"labels":[],"label_agreement":null},{"id":"W1548660647","doi":"10.3386/w10937","title":"Patterns of Comovement: The Role of Information Technology in the U.S. Economy","year":2004,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Economics; Economic geography; Business; Economy","score_opus":0.1548403700371882,"score_gpt":0.38918004038386933,"score_spread":0.23433967034668113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1548660647","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":[0.9936707,0.0008573343,0.00022061044,0.0012521243,0.0000081657445,0.000005352141,0.0008457717,0.0000132705,0.0031266755],"genre_scores_gemma":[0.9989146,0.00027431676,0.000059885468,0.00006911291,0.000012068499,0.000002012986,0.000430969,0.0000033165813,0.00023378368],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996164,0.0001100096,0.0000498825,0.00008290611,0.00006680251,0.00007394434],"domain_scores_gemma":[0.99482936,0.0015398131,0.0019956273,0.0005143044,0.0007537005,0.00036718755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008057208,0.0001363748,0.00028782824,0.0020903542,0.00031715754,0.0019675207,0.00025973434,0.0005106163,0.0014550928],"category_scores_gemma":[0.006389295,0.00016359599,0.0002678797,0.004755141,0.00058821845,0.0011371922,0.000994873,0.00052399863,0.0003464542],"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":[0.00007680974,0.00004671817,0.98189837,0.000016224474,0.00007524915,0.00012758141,0.00054857624,0.00081849,0.00030474042,0.0019800612,0.0015928391,0.012514242],"study_design_scores_gemma":[0.000003704026,0.000014863657,0.995713,0.000011664749,0.000015990556,0.000051799863,0.0005265002,0.0013817566,0.00010257283,0.0014757821,0.00069436326,0.000007937905],"about_ca_topic_score_codex":0.013761652,"about_ca_topic_score_gemma":0.022870874,"teacher_disagreement_score":0.013761652,"about_ca_system_score_codex":0.0005124098,"about_ca_system_score_gemma":0.00034199026,"threshold_uncertainty_score":0.027363062},"labels":[],"label_agreement":null},{"id":"W1551443147","doi":"10.1111/j.1365-2966.2008.00459.x","title":"Swedish economic growth and education since 1800","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Stockholms Universitet; Australian Government","keywords":"Period (music); Longevity; Demographic economics; Formal education; Productivity; Work (physics); Physics; Economics; Econometrics; Economic growth; Sociology; Gerontology; Medicine","score_opus":0.09652597887293797,"score_gpt":0.16993683104147178,"score_spread":0.07341085216853381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1551443147","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":[0.8313983,0.036667172,0.0009426039,0.010607764,0.0008525679,0.000015184078,0.025576675,0.00012047922,0.09381932],"genre_scores_gemma":[0.96043795,0.011939694,0.00029047715,0.00027090765,0.0002808102,0.000015613597,0.012887161,0.000030979267,0.013846419],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99955016,0.00007020624,0.000040749368,0.000086867745,0.00011526648,0.00013673463],"domain_scores_gemma":[0.99811006,0.00050723116,0.0005295795,0.000075350625,0.00044100286,0.00033680038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006241088,0.00027191057,0.00032015418,0.0033340584,0.0005444779,0.0022407114,0.00020551812,0.00045976846,0.0062272265],"category_scores_gemma":[0.0031685322,0.000099976256,0.00029273442,0.0053968523,0.00066584034,0.001204676,0.001226743,0.0013881756,0.0013140836],"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":[0.00037447677,0.00021341885,0.5869356,0.0008785169,0.0003339068,0.0017794906,0.005942824,0.006644276,0.00023065452,0.07699135,0.06553564,0.2541398],"study_design_scores_gemma":[0.00001942269,0.00006770146,0.7393135,0.0008693119,0.00006688458,0.0007720967,0.0046218387,0.000990783,0.0002963049,0.013420516,0.23952733,0.000034309138],"about_ca_topic_score_codex":0.02610086,"about_ca_topic_score_gemma":0.023797952,"teacher_disagreement_score":0.02610086,"about_ca_system_score_codex":0.0018987011,"about_ca_system_score_gemma":0.0013357373,"threshold_uncertainty_score":0.051897883},"labels":[],"label_agreement":null},{"id":"W1552765054","doi":"","title":"Making Inferences About Rich Country - Poor Country Convergence: The Polarization Trapezoid and Overlap measures","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University; University of Toronto","funders":"","keywords":"Per capita; Statistic; Polarization (electrochemistry); Population; Convergence (economics); Econometrics; Economics; Demographic economics; Statistics; Mathematics; Demography; Economic growth; Sociology","score_opus":0.0527349416471695,"score_gpt":0.293888247523088,"score_spread":0.24115330587591852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1552765054","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":[0.6751939,0.0009129671,0.30091685,0.00174965,0.00006850055,0.00011903209,0.0005546971,0.00011473511,0.020369638],"genre_scores_gemma":[0.9682558,0.00024846676,0.03039979,0.000144924,0.00007105642,0.000102483944,0.00037103298,0.00003700123,0.00036933032],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98786956,0.007311189,0.00061777176,0.0012313372,0.0023257902,0.0006442528],"domain_scores_gemma":[0.89308345,0.08312938,0.007899282,0.008578916,0.0054441793,0.0018647772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02112573,0.0004328782,0.0014537686,0.0077478387,0.0014000075,0.0041564037,0.0011884873,0.0013156333,0.0021580174],"category_scores_gemma":[0.1427809,0.00039150563,0.0012364762,0.005811016,0.005595688,0.0057843397,0.00683952,0.0022737766,0.0004019877],"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":[0.0009394327,0.00013273417,0.40034676,0.00028029233,0.0006864825,0.000856379,0.007803706,0.03991603,0.001223834,0.3505281,0.0035884466,0.1936978],"study_design_scores_gemma":[0.000059996153,0.0002999123,0.13849318,0.0002569243,0.0001625551,0.0007857406,0.0097767785,0.13666718,0.0018838936,0.70388824,0.007591606,0.00013404922],"about_ca_topic_score_codex":0.002606431,"about_ca_topic_score_gemma":0.0010404122,"teacher_disagreement_score":0.02112573,"about_ca_system_score_codex":0.0009784171,"about_ca_system_score_gemma":0.00089244713,"threshold_uncertainty_score":0.11172491},"labels":[],"label_agreement":null},{"id":"W1555673639","doi":"","title":"Les estimations du capital humain au Canada : approche fondee sur le revenu de la vie entiere","year":2010,"lang":"fr","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Population; Human capital; Welfare economics; Geography; Economics; Sociology; Philosophy; Demography; Economic growth","score_opus":0.015254499362328212,"score_gpt":0.19146089259496663,"score_spread":0.17620639323263843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1555673639","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":[0.90613955,0.0046558906,0.042785417,0.0015836279,0.00007955546,0.00023444678,0.018099988,0.00036173317,0.02605979],"genre_scores_gemma":[0.9525752,0.0021664272,0.019412437,0.00020830194,0.00002280877,0.00011878017,0.0062098815,0.000042745367,0.019243402],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990773,0.00017121913,0.00004698935,0.0001554041,0.0003563055,0.00019261995],"domain_scores_gemma":[0.99716884,0.0010248214,0.00034494387,0.0001629286,0.0011445123,0.00015389842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017453682,0.00055339467,0.0005038992,0.0027732211,0.0012102148,0.0017657385,0.0009436601,0.00038404358,0.0033080713],"category_scores_gemma":[0.0075788335,0.00031037428,0.00079812855,0.004105045,0.0006005178,0.00061815436,0.00079593883,0.00061579194,0.0003981799],"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":[0.00020120818,0.000031720985,0.8277059,0.00025827685,0.000635845,0.00027653834,0.0020100346,0.057361014,0.00093122193,0.010210553,0.006294002,0.09408375],"study_design_scores_gemma":[0.00003048584,0.00005566732,0.8949323,0.000358352,0.00032497523,0.00011482305,0.0028086535,0.059358668,0.0035744903,0.0032460336,0.03509312,0.00010236228],"about_ca_topic_score_codex":0.97777325,"about_ca_topic_score_gemma":0.9784629,"teacher_disagreement_score":0.02222675,"about_ca_system_score_codex":0.011538299,"about_ca_system_score_gemma":0.019262617,"threshold_uncertainty_score":0.08371657},"labels":[],"label_agreement":null},{"id":"W1556169964","doi":"","title":"Tracking Unemployment in the North West Through Recession and Forecasting Recovery","year":2010,"lang":"en","type":"preprint","venue":"Research Explorer (The University of Manchester)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Recession; Business cycle; Unemployment; Quarter (Canadian coin); Index (typography); North west; Economics; Term (time); Service (business); Tertiary sector of the economy; Geography; Economy; Economic growth; Macroeconomics; Computer science","score_opus":0.22827811945068535,"score_gpt":0.28475557619234415,"score_spread":0.0564774567416588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1556169964","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":[0.9974795,0.00013792152,0.00057931716,0.0001740921,0.0000066486346,0.000005585198,0.0005812547,0.000019954647,0.0010157401],"genre_scores_gemma":[0.99781966,0.00014999828,0.00049042504,0.000013568266,0.000008954376,0.000005372091,0.00087678706,0.0000069848506,0.00062827795],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986684,0.000036003403,0.000008665375,0.000039377777,0.00002169835,0.000027355825],"domain_scores_gemma":[0.99943,0.000123834,0.0001999072,0.000045793815,0.00012177945,0.0000786175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005699793,0.00016323417,0.00026889093,0.0008071489,0.00021551026,0.00057318894,0.00023386898,0.00032401178,0.000740131],"category_scores_gemma":[0.0019101059,0.00017746555,0.00013758037,0.000748393,0.00014899354,0.0004298769,0.0004668378,0.0002649548,0.0003815579],"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":[0.000484418,0.00006550041,0.92914826,0.000051383482,0.0000592481,0.00020125891,0.0010887386,0.031560693,0.001500187,0.00083875,0.0038624392,0.031139204],"study_design_scores_gemma":[0.000014281583,0.0000750092,0.8695813,0.00004512696,0.000027079826,0.000054195123,0.0011905743,0.1245329,0.00054046867,0.00056267367,0.0033610992,0.000015263071],"about_ca_topic_score_codex":0.050177325,"about_ca_topic_score_gemma":0.086248726,"teacher_disagreement_score":0.050177325,"about_ca_system_score_codex":0.00044793182,"about_ca_system_score_gemma":0.00031377317,"threshold_uncertainty_score":0.099770546},"labels":[],"label_agreement":null},{"id":"W1557291913","doi":"","title":"What Does Total Factor Productivity Measure?","year":2000,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Total factor productivity; Dynamism; Productivity; Economics; Confusion; Measure (data warehouse); Degree (music); Econometrics; Classical economics; Macroeconomics; Philosophy; Psychology","score_opus":0.03924946861326552,"score_gpt":0.2632495851548693,"score_spread":0.2240001165416038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1557291913","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":[0.12180413,0.18877153,0.24949554,0.21018147,0.016646918,0.00018939452,0.0121090375,0.0020261598,0.19877586],"genre_scores_gemma":[0.8794796,0.056508515,0.0314011,0.008455077,0.008897971,0.00028742652,0.0030876223,0.00050602923,0.01137666],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961205,0.0010129998,0.00042277618,0.00080475264,0.0013629342,0.00027598088],"domain_scores_gemma":[0.9850382,0.0067772474,0.002086735,0.0014627132,0.0040282886,0.00060681824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066305865,0.0015661601,0.0018413406,0.009383494,0.0010161133,0.008449753,0.0019083794,0.0026716094,0.005170664],"category_scores_gemma":[0.04777642,0.00042655825,0.001208693,0.013914622,0.0050999564,0.01834958,0.001895449,0.0025320216,0.0031244934],"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":[0.00017529383,0.00012732203,0.06780388,0.0017759482,0.0006168216,0.00016065246,0.0020343945,0.004915199,0.00070198654,0.39893642,0.07495935,0.44779274],"study_design_scores_gemma":[0.000034631794,0.00017153638,0.042114846,0.0017625263,0.00017334221,0.0005848765,0.0027016732,0.003922108,0.00134525,0.76415724,0.18286595,0.0001660553],"about_ca_topic_score_codex":0.006959168,"about_ca_topic_score_gemma":0.0029585795,"teacher_disagreement_score":0.009383494,"about_ca_system_score_codex":0.0033716224,"about_ca_system_score_gemma":0.0017742114,"threshold_uncertainty_score":0.035066307},"labels":[],"label_agreement":null},{"id":"W1558162056","doi":"","title":"Recent Productivity Development in the United States and Canada: Implications for the Canada-U.S. Productivity and Income Gap","year":2002,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","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":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Pace; Total factor productivity; Recession; Slowdown; Demographic economics; Agricultural economics; Development economics; Labour economics; Economic growth; Macroeconomics; Geography","score_opus":0.0482424502991039,"score_gpt":0.22977173940594509,"score_spread":0.18152928910684119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1558162056","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":[0.72444916,0.037326925,0.00059330533,0.13799024,0.0008601687,0.000060561564,0.024961052,0.00012738458,0.0736313],"genre_scores_gemma":[0.970892,0.015119361,0.00040655985,0.002851092,0.0001381709,0.000017722074,0.00512727,0.000024001436,0.005423746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99831057,0.00005117372,0.00006322481,0.00010610998,0.00060862256,0.00086032],"domain_scores_gemma":[0.99226296,0.0003817103,0.00069115276,0.0000726466,0.0048639947,0.0017275895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014892642,0.0002659568,0.0004505335,0.0046008155,0.0047538914,0.004316141,0.001303492,0.0009776927,0.0041500097],"category_scores_gemma":[0.0067239697,0.00016803732,0.0006120621,0.013908133,0.0011937864,0.0016994794,0.0020121837,0.002198213,0.0003106659],"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":[0.0003812718,0.000168104,0.7382269,0.00043516082,0.00025579322,0.0008548652,0.0048561324,0.0034130914,0.00029370975,0.043902025,0.09313461,0.114078246],"study_design_scores_gemma":[0.000031530657,0.000033933116,0.93918145,0.0003037905,0.00011105684,0.00012908275,0.0087434435,0.0017437836,0.00031461468,0.003053242,0.046290558,0.00006352122],"about_ca_topic_score_codex":0.9950104,"about_ca_topic_score_gemma":0.9967116,"teacher_disagreement_score":0.058397744,"about_ca_system_score_codex":0.058397744,"about_ca_system_score_gemma":0.07887948,"threshold_uncertainty_score":0.42370725},"labels":[],"label_agreement":null},{"id":"W1558314621","doi":"10.1111/j.1365-2966.2007.00450.x","title":"Interaction between knowledge and technology: a contribution to the theory of development","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Embodied cognition; Investment (military); Economics; Technological change; Developing country; Foreign direct investment; Economic growth; Macroeconomics; Political science; Computer science","score_opus":0.0893757767579548,"score_gpt":0.19467796697758138,"score_spread":0.10530219021962658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1558314621","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":[0.0323629,0.06206673,0.2896156,0.07397312,0.0010886546,0.000065967135,0.0006070462,0.00014043548,0.5400796],"genre_scores_gemma":[0.9006238,0.038713332,0.027338339,0.0023521255,0.0013596307,0.00015780453,0.00015096106,0.0000604125,0.029243717],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992674,0.0003429883,0.000025095604,0.000118146585,0.00016078695,0.000085493375],"domain_scores_gemma":[0.99679726,0.0024570774,0.00021767274,0.00016118103,0.00022775345,0.00013898901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010828241,0.0006097317,0.00071309914,0.0025563878,0.0011651736,0.003998092,0.0009183979,0.0020591689,0.009194598],"category_scores_gemma":[0.0033646694,0.00030241182,0.0009257438,0.0038702236,0.006838341,0.0054936334,0.0027037286,0.0021403998,0.0008426917],"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":[0.0000023764944,0.0000057155735,0.00034564224,0.000051089042,0.000007168655,0.00004894217,0.000094917414,0.002889591,0.000016393074,0.9902445,0.0010412716,0.005252304],"study_design_scores_gemma":[0.00000433333,0.000004077652,0.00024487707,0.000044796656,0.0000055440414,0.00005305184,0.000060146525,0.0039992523,0.000016227292,0.9810308,0.014531549,0.0000052342166],"about_ca_topic_score_codex":0.005664446,"about_ca_topic_score_gemma":0.0035186086,"teacher_disagreement_score":0.009194598,"about_ca_system_score_codex":0.0035952386,"about_ca_system_score_gemma":0.0022118937,"threshold_uncertainty_score":0.030758917},"labels":[],"label_agreement":null},{"id":"W1559209685","doi":"","title":"The Changing Pace of Labour Reallocation in Canada: Causes and Consequences","year":2009,"lang":"en","type":"article","venue":"Bank of Canada review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Labour economics; Pace; Liberian dollar; Commodity; Manufacturing sector; Market economy; Macroeconomics; Finance","score_opus":0.01989316802242157,"score_gpt":0.20204951281176384,"score_spread":0.18215634478934226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1559209685","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":[0.7133585,0.13349058,0.001107903,0.066215314,0.0006383426,0.000119169876,0.0088888435,0.00013198226,0.07604942],"genre_scores_gemma":[0.92480147,0.055984996,0.00050837256,0.0020009987,0.000113388145,0.0000182674,0.0015103965,0.000034730354,0.015027222],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99797827,0.00007857176,0.000049030583,0.00014871503,0.00094048225,0.00080505793],"domain_scores_gemma":[0.9956943,0.00024477317,0.00061447825,0.000059751586,0.0026868223,0.00069985946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011797498,0.0003520004,0.00041979394,0.003984398,0.0044423654,0.003681523,0.0014436528,0.0008824625,0.004376102],"category_scores_gemma":[0.0035212548,0.00030139723,0.0005805884,0.010437957,0.0018554871,0.00087691663,0.0013814712,0.0016531259,0.00045051074],"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":[0.000672016,0.00012428888,0.5203485,0.0019589383,0.00034408216,0.0031587917,0.011462321,0.006493014,0.0026833077,0.037604325,0.11267566,0.30247465],"study_design_scores_gemma":[0.000029657174,0.000033078377,0.88744485,0.0005952339,0.000100209305,0.0003831979,0.0111635225,0.001488251,0.00057227095,0.001937438,0.09616025,0.000091907605],"about_ca_topic_score_codex":0.9978611,"about_ca_topic_score_gemma":0.9985306,"teacher_disagreement_score":0.11484143,"about_ca_system_score_codex":0.11484143,"about_ca_system_score_gemma":0.14007717,"threshold_uncertainty_score":0.8332368},"labels":[],"label_agreement":null},{"id":"W1560266568","doi":"","title":"Effet de l'evolution de l'utilisation des technologies sur le rendement des etablissements dans le secteur de la fabrication au Canada","year":2004,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.02735605695698023,"score_gpt":0.2502149951073515,"score_spread":0.22285893815037128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1560266568","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":[0.98378515,0.00088352803,0.0012277175,0.0003839174,0.000014226582,0.000022041537,0.000594372,0.00006169264,0.01302746],"genre_scores_gemma":[0.9784299,0.0005591463,0.0014578762,0.000053610354,0.000005355698,0.000013096826,0.0002610271,0.000025164076,0.019194793],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863213,0.00013762168,0.00003719549,0.00017439337,0.00059388194,0.00042475646],"domain_scores_gemma":[0.99600154,0.0012608018,0.00068821624,0.00017556886,0.0013734408,0.0005003965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009076499,0.0003531242,0.00031285553,0.0013196083,0.0019304428,0.0023890168,0.00075006945,0.0006805514,0.006678955],"category_scores_gemma":[0.0031799842,0.0002896832,0.0006986867,0.0017326708,0.0010592131,0.0005621553,0.0007432664,0.00073806447,0.00049511855],"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":[0.0026985675,0.00032132686,0.5406942,0.00048032028,0.0004944621,0.0014535302,0.01002603,0.05762145,0.10456232,0.014691339,0.0050829872,0.26187348],"study_design_scores_gemma":[0.000029662126,0.00034052858,0.93967706,0.00008698036,0.00014463591,0.00022028509,0.006549535,0.006435446,0.017353807,0.0010170911,0.028052969,0.00009217189],"about_ca_topic_score_codex":0.8609578,"about_ca_topic_score_gemma":0.9184337,"teacher_disagreement_score":0.1390422,"about_ca_system_score_codex":0.01705494,"about_ca_system_score_gemma":0.00988308,"threshold_uncertainty_score":0.27972203},"labels":[],"label_agreement":null},{"id":"W1560798599","doi":"10.34196/ijm.00020","title":"Guest Editorial: Macro-Micro Analytics: Background, Motivation,Advantages and Remaining Challenges","year":2009,"lang":"en","type":"editorial","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Macro; Analytics; Data science; Macro level; Computer science; Economics; Macroeconomics","score_opus":0.0407302998155964,"score_gpt":0.24766657487806765,"score_spread":0.20693627506247125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1560798599","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000429401,0.0030450183,0.0002210208,0.02990514,0.96591026,0.000011038536,0.0000509364,0.00003691765,0.0007767144],"genre_scores_gemma":[0.0005792165,0.0017714165,0.00014234192,0.009537267,0.98336995,0.0000132578925,0.000020016472,0.000051450672,0.0045151543],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955331,0.000817617,0.0005980633,0.0007872246,0.0019579197,0.0003060681],"domain_scores_gemma":[0.9711189,0.010321877,0.0021470354,0.0008514944,0.012342129,0.0032185698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007857893,0.0028985373,0.0032283175,0.0034304743,0.0019427727,0.0077498103,0.002288488,0.0095529,0.013754657],"category_scores_gemma":[0.03316142,0.0008250712,0.0019151178,0.0015530296,0.0019709405,0.0035917044,0.0016464117,0.0151516395,0.009241915],"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":[0.000031125684,0.000009090646,0.000028227372,0.0001139045,0.00001358413,0.00009342582,0.000006837751,0.00002460385,0.00004724523,0.0003382183,0.99617213,0.003121583],"study_design_scores_gemma":[0.00011222517,0.000048957278,0.00053708086,0.00049661676,0.000089853034,0.00052354805,0.00006414921,0.0006601803,0.00030990678,0.0034151655,0.9937065,0.000035715035],"about_ca_topic_score_codex":0.00062421977,"about_ca_topic_score_gemma":0.0017520407,"teacher_disagreement_score":0.013754657,"about_ca_system_score_codex":0.001575605,"about_ca_system_score_gemma":0.0020549705,"threshold_uncertainty_score":0.04601395},"labels":[],"label_agreement":null},{"id":"W1561119422","doi":"10.3386/w21029","title":"Stuck in the Middle? Structural Change and Productivity Growth in Botswana","year":2015,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"World Bank Group","keywords":"Productivity; Structural change; Geography; Economic geography; Natural resource economics; Agricultural economics; Economics; Economic growth; Macroeconomics","score_opus":0.6208523643344496,"score_gpt":0.4540503198710904,"score_spread":0.16680204446335917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1561119422","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":[0.99235755,0.00046239767,0.00011325772,0.0024264508,0.000013496991,0.000006152271,0.00021183355,0.000006000065,0.0044028624],"genre_scores_gemma":[0.99878734,0.00030656037,0.000059746417,0.00010162956,0.000006864357,0.0000030754454,0.000115984716,0.0000025718593,0.00061619404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997482,0.000025263946,0.000009258206,0.000029366029,0.000026677582,0.00016125586],"domain_scores_gemma":[0.99928844,0.00010904424,0.00027041626,0.000034842928,0.00009900471,0.00019821338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042773114,0.00021435814,0.00017339693,0.0012838288,0.00094626076,0.0019825045,0.00033915785,0.0005142081,0.0024130899],"category_scores_gemma":[0.0018704392,0.00016129213,0.00020177187,0.0026790192,0.0009726005,0.0013130115,0.0010364599,0.0008019579,0.00033333563],"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":[0.00014187109,0.00010955485,0.92327684,0.000074240794,0.00005987513,0.001299712,0.009208435,0.0019291992,0.0028785146,0.012286617,0.0024925426,0.046242654],"study_design_scores_gemma":[0.000011993949,0.00004168022,0.9766654,0.000113701906,0.00001943697,0.00014013103,0.011357631,0.0011030823,0.0003926277,0.0032264474,0.0069173984,0.0000104790015],"about_ca_topic_score_codex":0.1132192,"about_ca_topic_score_gemma":0.1578811,"teacher_disagreement_score":0.1132192,"about_ca_system_score_codex":0.003117626,"about_ca_system_score_gemma":0.0024292264,"threshold_uncertainty_score":0.22512037},"labels":[],"label_agreement":null},{"id":"W1562754579","doi":"10.3386/w9212","title":"University Research, Industrial R&amp;D, and the Anchor Tenant Hypothesis","year":2002,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Queen's University","keywords":"Business","score_opus":0.6800319274252726,"score_gpt":0.43849838846475614,"score_spread":0.2415335389605165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1562754579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838134,0.00032689513,0.0029617199,0.0008095201,0.000012666496,0.000032628173,0.00019882483,0.000038704628,0.011805595],"genre_scores_gemma":[0.9987534,0.00008905123,0.00040152261,0.000040919032,0.0000126875775,0.000018695833,0.00008458897,0.0000026745538,0.0005963433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979048,0.00068021857,0.00013370067,0.0004133802,0.00042293107,0.0004449839],"domain_scores_gemma":[0.97542953,0.009366797,0.009855491,0.0011252951,0.0010651744,0.0031577882],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0028738466,0.00031970124,0.0006316746,0.002851844,0.0009397357,0.0023540223,0.00090288825,0.0008516244,0.012127822],"category_scores_gemma":[0.01509741,0.00020623382,0.0004897738,0.0045190607,0.0029774706,0.0023586855,0.002661062,0.00060667854,0.001015446],"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":[0.0008166051,0.000611978,0.89049554,0.00017177437,0.00021424773,0.0012901841,0.0016973178,0.0075317454,0.002015218,0.054384902,0.001719874,0.039050665],"study_design_scores_gemma":[0.00045111406,0.0011104546,0.88645583,0.0001724196,0.00042075993,0.00080165593,0.007511573,0.03154831,0.0027250645,0.05831315,0.010399631,0.00008998195],"about_ca_topic_score_codex":0.007094806,"about_ca_topic_score_gemma":0.005221931,"teacher_disagreement_score":0.99712616,"about_ca_system_score_codex":0.0011897843,"about_ca_system_score_gemma":0.0012593062,"threshold_uncertainty_score":0.04057157},"labels":[],"label_agreement":null},{"id":"W1562785475","doi":"10.2139/ssrn.1407050","title":"Innovation Capabilities: Technology Use, Productivity Growth and Business Performance: Evidence from Canadian Technology Surveys","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; Business; Industrial organization; Marketing; Economics; Economic growth","score_opus":0.019340726912848914,"score_gpt":0.20633989427209415,"score_spread":0.18699916735924524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1562785475","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":[0.9762521,0.0033826074,0.0004498684,0.0005305712,0.000011441499,0.000057899786,0.011751541,0.000024500605,0.0075394055],"genre_scores_gemma":[0.98642635,0.0040245093,0.00038999328,0.000091419024,0.000015714046,0.000041634208,0.006663367,0.000008013345,0.0023390194],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99735415,0.00025326005,0.00014972342,0.00020706648,0.0015782448,0.00045768678],"domain_scores_gemma":[0.97383624,0.0069083576,0.007563996,0.00069030095,0.008593885,0.002407174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030938615,0.0005371927,0.000481931,0.00818736,0.0014036909,0.0020593216,0.0010839914,0.00067857903,0.0022838656],"category_scores_gemma":[0.014787242,0.0003031404,0.000628379,0.025073135,0.0008792756,0.0013416455,0.0012605566,0.0007278919,0.00036264403],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006533109,0.0000677806,0.9811477,0.0001262498,0.0001373692,0.000036464324,0.0012775359,0.00079938764,0.00010175035,0.0006221192,0.0018865279,0.013731786],"study_design_scores_gemma":[0.0000031500244,0.000013402875,0.9978928,0.000027533246,0.000025174842,0.000008630675,0.00038690725,0.00022125812,0.00005544477,0.00005674093,0.0012986581,0.000010398943],"about_ca_topic_score_codex":0.98025656,"about_ca_topic_score_gemma":0.9883421,"teacher_disagreement_score":0.98636997,"about_ca_system_score_codex":0.013630039,"about_ca_system_score_gemma":0.025153397,"threshold_uncertainty_score":0.098893344},"labels":[],"label_agreement":null},{"id":"W1562802782","doi":"10.2139/ssrn.260101","title":"Economic Information versus Quality Variation in Cross-Country Data","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"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 Waterloo","funders":"","keywords":"Variation (astronomy); Cross country; Data quality; Quality (philosophy); Geography; Econometrics; Economics; Demographic economics; Economy","score_opus":0.03817609216016711,"score_gpt":0.2814414299431939,"score_spread":0.24326533778302678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1562802782","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":[0.8369253,0.008441785,0.05533492,0.0067871036,0.0006466439,0.00022771562,0.070238195,0.0004951648,0.020903157],"genre_scores_gemma":[0.973279,0.00077465567,0.002044966,0.00041267162,0.00029106435,0.00004599996,0.021496821,0.0000692961,0.00158547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9773505,0.009482923,0.003843537,0.0037330475,0.004035867,0.0015541709],"domain_scores_gemma":[0.5893003,0.27841038,0.07563289,0.04353279,0.011258882,0.0018647481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027893027,0.00043358124,0.001032749,0.0060518086,0.00048762374,0.0059931357,0.0012351054,0.002249345,0.0069996146],"category_scores_gemma":[0.18128735,0.0005538236,0.0012752321,0.013235154,0.001651864,0.004170092,0.0017722254,0.0018356781,0.0015938833],"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":[0.00086473883,0.00012599544,0.9291032,0.0003917479,0.0024114272,0.0003283944,0.0003748959,0.01519627,0.0004892458,0.013605678,0.007821452,0.02928685],"study_design_scores_gemma":[0.00016730107,0.00027392755,0.9300802,0.00030390933,0.0016590031,0.00056174566,0.0006542018,0.019640194,0.0030014904,0.027682373,0.015849842,0.00012596961],"about_ca_topic_score_codex":0.0068691727,"about_ca_topic_score_gemma":0.0053225076,"teacher_disagreement_score":0.027893027,"about_ca_system_score_codex":0.0010748806,"about_ca_system_score_gemma":0.0005387926,"threshold_uncertainty_score":0.14751416},"labels":[],"label_agreement":null},{"id":"W1562977150","doi":"","title":"Which Firms Benefit More from Financial Development","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business; Equity (law); Monetary economics; Information asymmetry; Equity capital; Finance; External financing; Demographic economics; Financial system; Economics; Initial public offering; Debt","score_opus":0.01272400758958949,"score_gpt":0.20234653569617045,"score_spread":0.18962252810658095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1562977150","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":[0.9713127,0.0019387127,0.00033138183,0.0045604436,0.000037362748,0.000025403553,0.0012057616,0.00003751814,0.020550787],"genre_scores_gemma":[0.99760735,0.0004350825,0.000057452387,0.00038229759,0.000029957599,0.0000027070098,0.0002243835,0.0000036118172,0.0012571136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958426,0.000054377753,0.000015945583,0.000060596507,0.00005002085,0.00023479688],"domain_scores_gemma":[0.99580175,0.00086050096,0.0017506671,0.00014099413,0.00023703946,0.0012089526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047009092,0.00014026863,0.0004124986,0.00071253633,0.00024772203,0.0015939751,0.00021956157,0.0007091529,0.0127455415],"category_scores_gemma":[0.0033350952,0.00010525398,0.0002484932,0.00087781704,0.00044689822,0.001640215,0.0009677643,0.00049531116,0.0011590364],"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":[0.000528025,0.00045328552,0.8299402,0.00041480782,0.0002585903,0.0008223862,0.00072288833,0.001812003,0.0066448986,0.014710463,0.01015278,0.13353965],"study_design_scores_gemma":[0.00007750696,0.00016464009,0.97618073,0.00007015411,0.000119613265,0.00036214016,0.0022299385,0.00059847656,0.0015959184,0.0070059104,0.011580708,0.000014251612],"about_ca_topic_score_codex":0.0022625218,"about_ca_topic_score_gemma":0.0056844708,"teacher_disagreement_score":0.0127455415,"about_ca_system_score_codex":0.00047155583,"about_ca_system_score_gemma":0.0005095665,"threshold_uncertainty_score":0.042638063},"labels":[],"label_agreement":null},{"id":"W1563342535","doi":"","title":"Manufacturing Showing Clear Signs of Cyclical Weakening","year":2001,"lang":"en","type":"article","venue":"Monographien","topic":"Economic Growth and Productivity","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":"Inflation (cosmology); Business cycle; Quarter (Canadian coin); Economics; Unemployment; Slowdown; Durable good; Monetary economics; International economics; Labour economics; Business; Macroeconomics; Economic growth","score_opus":0.042585232787083795,"score_gpt":0.2086617991698323,"score_spread":0.1660765663827485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1563342535","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":[0.72526133,0.012880629,0.003588804,0.010335071,0.00063906214,0.00009584757,0.016081668,0.0010347057,0.23008288],"genre_scores_gemma":[0.96291053,0.0040376117,0.0011900356,0.0013918679,0.00030160404,0.000024924988,0.004807828,0.00013394094,0.02520171],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997607,0.000013769334,0.000019402065,0.000073046096,0.00008466638,0.00004842393],"domain_scores_gemma":[0.997695,0.0005261543,0.00071831426,0.00033006218,0.00058547454,0.00014489875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039714988,0.00023005244,0.00025193318,0.0019991763,0.00045028812,0.0019375752,0.00024546986,0.00052289676,0.018273668],"category_scores_gemma":[0.0020039587,0.00015481001,0.00029506738,0.0052884156,0.0005784156,0.0006161853,0.0008130555,0.000609257,0.0030790693],"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":[0.0010197274,0.0001339775,0.3736859,0.0016697777,0.00027336416,0.0018290939,0.0030780465,0.0038860058,0.043754444,0.020350566,0.07451335,0.47580567],"study_design_scores_gemma":[0.0000094620345,0.00010663444,0.85994935,0.00012318531,0.000055915978,0.0005000881,0.0009106782,0.0006388098,0.002641387,0.0043273717,0.1307067,0.000030394523],"about_ca_topic_score_codex":0.009141691,"about_ca_topic_score_gemma":0.009547668,"teacher_disagreement_score":0.018273668,"about_ca_system_score_codex":0.0005744274,"about_ca_system_score_gemma":0.00053956243,"threshold_uncertainty_score":0.061131537},"labels":[],"label_agreement":null},{"id":"W1564103086","doi":"","title":"Why Have the Dynamics of Labor Productivity Changed","year":2010,"lang":"en","type":"article","venue":"Econometric Reviews","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"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":"Productivity; Business cycle; Economics; Nonfarm payrolls; Recession; Quarter (Canadian coin); Labour economics; Macroeconomics; Agriculture","score_opus":0.04732986711505884,"score_gpt":0.23742364927400061,"score_spread":0.19009378215894177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1564103086","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1999195,0.03315654,0.014354948,0.66800183,0.005850111,0.00006852739,0.002656481,0.0003698583,0.0756222],"genre_scores_gemma":[0.9265489,0.014746282,0.0029805868,0.03634924,0.0041490295,0.00006907815,0.00067484303,0.00022087117,0.014261005],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979692,0.0004768214,0.000071382594,0.0006533924,0.00041502886,0.00041409623],"domain_scores_gemma":[0.9950649,0.0014226084,0.0008769368,0.00041118258,0.0015355475,0.00068880286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031306455,0.0003276483,0.00041854364,0.0015619864,0.0012016314,0.0045924247,0.0009531271,0.0030678732,0.0074692853],"category_scores_gemma":[0.01666018,0.00040973697,0.00059473095,0.0019832642,0.0035976972,0.0065998463,0.0013143509,0.00424601,0.0024360097],"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":[0.0006412041,0.0002701998,0.15100554,0.00060044334,0.00043728013,0.00083780015,0.010178602,0.004424174,0.0028192664,0.42673308,0.14680435,0.25524813],"study_design_scores_gemma":[0.00011486543,0.00015832098,0.21960598,0.00076838105,0.00007848785,0.00054107,0.010282512,0.003759386,0.001620212,0.30873746,0.45413682,0.00019652731],"about_ca_topic_score_codex":0.019197669,"about_ca_topic_score_gemma":0.009183748,"teacher_disagreement_score":0.019197669,"about_ca_system_score_codex":0.005554846,"about_ca_system_score_gemma":0.0018452948,"threshold_uncertainty_score":0.04030335},"labels":[],"label_agreement":null},{"id":"W1564541373","doi":"","title":"Recent Productivity Developments in the World Economy: An Overview from The Conference Board Total Economy Database","year":2010,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Total factor productivity; Recession; Multifactor productivity; Developing country; Capital deepening; Capital (architecture); Emerging markets; Economy; Human capital; Macroeconomics; Capital formation; Market economy; Economic growth; Financial capital; Geography","score_opus":0.07736836409532484,"score_gpt":0.28179574318488054,"score_spread":0.20442737908955572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1564541373","genre_codex":"dataset","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009165568,0.01358715,0.00063873676,0.00052451505,0.00026386362,0.00017682323,0.96593064,0.0004014632,0.009311272],"genre_scores_gemma":[0.01742827,0.02054148,0.0013811018,0.00014748437,0.00030505023,0.00050551805,0.9554875,0.00013058419,0.0040730457],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9975846,0.00018211933,0.0007650722,0.00028340585,0.0009737215,0.00021117774],"domain_scores_gemma":[0.9884282,0.0023763753,0.0033805151,0.00063528755,0.004475108,0.00070455787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002258982,0.001307901,0.001154759,0.030839564,0.00033704855,0.0031088192,0.0009502767,0.00061853003,0.018268537],"category_scores_gemma":[0.007858053,0.00043218303,0.0010113158,0.07350733,0.00014436444,0.0026707214,0.0014529873,0.000990107,0.01200627],"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":[0.00035273284,0.00013977183,0.070962474,0.007758258,0.00040042645,0.00012870478,0.00022052303,0.0010452222,0.0002906205,0.0008203604,0.731623,0.18625788],"study_design_scores_gemma":[0.000077996054,0.00006313278,0.40025738,0.0015791567,0.00024251266,0.00021009127,0.00039291228,0.0004964646,0.0004801723,0.0005047338,0.5956284,0.00006701402],"about_ca_topic_score_codex":0.011562149,"about_ca_topic_score_gemma":0.0134308385,"teacher_disagreement_score":0.030839564,"about_ca_system_score_codex":0.0010939523,"about_ca_system_score_gemma":0.0020208922,"threshold_uncertainty_score":0.06111431},"labels":[],"label_agreement":null},{"id":"W1564956920","doi":"","title":"ICT Investment and Productivity: A Provincial Perspective","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"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":"Information and Communications Technology; Investment (military); Productivity; Business; Gross private domestic investment; Open-ended investment company; Economics; Return on investment; Economic growth; Production (economics); Political science; Macroeconomics","score_opus":0.04973050374627518,"score_gpt":0.2800726292333001,"score_spread":0.23034212548702493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1564956920","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":[0.62254655,0.025630523,0.0053556887,0.032584015,0.00020925996,0.000087501394,0.029303858,0.0002764308,0.28400618],"genre_scores_gemma":[0.96932495,0.009860892,0.0011168246,0.00026440804,0.000055172026,0.000016642301,0.003294224,0.000020937625,0.016046017],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891233,0.00006658722,0.000028399789,0.00006912766,0.00034679685,0.00057682383],"domain_scores_gemma":[0.99746144,0.00028965846,0.0002975096,0.000077124154,0.0015384108,0.00033577843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043350438,0.00029566887,0.00046804428,0.0034209546,0.0017075512,0.003219903,0.00054409396,0.00034300282,0.0047056046],"category_scores_gemma":[0.0033258214,0.00019553407,0.00058235665,0.010922405,0.0010335939,0.0008062534,0.001047222,0.0010351406,0.000358294],"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":[0.00033731142,0.00009489982,0.65342563,0.00055135094,0.00030055136,0.0006522939,0.0036383388,0.020361286,0.0009071193,0.16634311,0.026772918,0.12661514],"study_design_scores_gemma":[0.000049307822,0.00007242094,0.8310669,0.00056154036,0.00019424516,0.00023980338,0.006039895,0.011217417,0.0010493207,0.022397703,0.1270453,0.00006619103],"about_ca_topic_score_codex":0.9857368,"about_ca_topic_score_gemma":0.98655415,"teacher_disagreement_score":0.9857368,"about_ca_system_score_codex":0.036128353,"about_ca_system_score_gemma":0.044411376,"threshold_uncertainty_score":0.2621308},"labels":[],"label_agreement":null},{"id":"W1565503815","doi":"10.1162/rest_a_00588","title":"The Medium Is the Measure: Technical Change and Employment, 1909—1949","year":2016,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business cycle; Unemployment; Productivity; Automotive industry; Measure (data warehouse); Job creation; Economics; Technical change; Labour economics; Technological change; Business; Macroeconomics; Computer science; Engineering","score_opus":0.0782090420609059,"score_gpt":0.251603060817429,"score_spread":0.1733940187565231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1565503815","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":[0.86388654,0.015852349,0.0015824164,0.0037764239,0.0009261066,0.000049923197,0.06306946,0.00011557166,0.050741233],"genre_scores_gemma":[0.9718069,0.004631133,0.0005277558,0.00022844854,0.0006562192,0.000044894223,0.014589,0.000018889308,0.007496868],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998267,0.00001662517,0.00001893356,0.00003194193,0.00007020289,0.000035592635],"domain_scores_gemma":[0.9986268,0.00017595879,0.0005971754,0.000044884444,0.00034149687,0.00021363422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043303522,0.00019804781,0.00012835862,0.0033823573,0.00033139045,0.0008122041,0.00025167462,0.00021097799,0.0026791326],"category_scores_gemma":[0.0018713867,0.00008285446,0.00018222425,0.0030561453,0.00033437356,0.0007337557,0.00074241444,0.0007008698,0.0008329712],"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":[0.000293447,0.00011170713,0.86079895,0.00043440223,0.00019854063,0.0002410914,0.0013202471,0.00076124776,0.0011526778,0.009108424,0.038793843,0.086785346],"study_design_scores_gemma":[0.000006924636,0.000074055904,0.95122975,0.000092925904,0.000024833624,0.00010026091,0.00050566153,0.00011945676,0.00038420816,0.00045953318,0.046993457,0.000009006279],"about_ca_topic_score_codex":0.015158195,"about_ca_topic_score_gemma":0.01837869,"teacher_disagreement_score":0.015158195,"about_ca_system_score_codex":0.0007667544,"about_ca_system_score_gemma":0.00039219632,"threshold_uncertainty_score":0.030139923},"labels":[],"label_agreement":null},{"id":"W1567859499","doi":"10.7202/012844ar","title":"Technologies de l’information, productivité et croissance des entreprises : résultats basés sur de nouvelles microdonnées internationales","year":2006,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.031251926068485286,"score_gpt":0.2139492597603899,"score_spread":0.1826973336919046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1567859499","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":[0.9598275,0.009035018,0.0044745654,0.00031689514,0.000030058633,0.00022530457,0.005074255,0.00007450383,0.020941911],"genre_scores_gemma":[0.9665874,0.0072411443,0.0069675036,0.00016162147,0.000027809689,0.00036800295,0.0047051134,0.00008232952,0.013859079],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99696964,0.00083564915,0.00022166797,0.0004984895,0.0012061283,0.00026851025],"domain_scores_gemma":[0.9684406,0.021186713,0.0037018673,0.0013754669,0.0047941776,0.0005012537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004407407,0.0006180869,0.000957288,0.0043382277,0.00079024653,0.0028589172,0.0006220553,0.0007025352,0.009171118],"category_scores_gemma":[0.011990046,0.00036478945,0.0017535381,0.009692279,0.0010743615,0.0020427024,0.0016063437,0.0011095295,0.0014973739],"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":[0.0019140309,0.0010729973,0.684371,0.0055184555,0.0017303276,0.0007205845,0.02075346,0.0078027574,0.0047118687,0.008596665,0.0052774674,0.25753045],"study_design_scores_gemma":[0.000073485666,0.0017957073,0.8934404,0.0013933078,0.0014031366,0.0004007244,0.030806107,0.0041920175,0.0067386534,0.0023043565,0.057315506,0.00013660468],"about_ca_topic_score_codex":0.06324904,"about_ca_topic_score_gemma":0.07418735,"teacher_disagreement_score":0.06324904,"about_ca_system_score_codex":0.0024632202,"about_ca_system_score_gemma":0.00232523,"threshold_uncertainty_score":0.1257618},"labels":[],"label_agreement":null},{"id":"W1568535465","doi":"","title":"Total Factor Productivity Growth in the G7 Countries: Different or Alike?","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"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":"Total factor productivity; Economics; Econometrics; Productivity; Production function; Technological change; Production (economics); Sample (material); Panel data; Frontier; Macroeconomics; Geography","score_opus":0.06438260234149795,"score_gpt":0.29714030075787806,"score_spread":0.2327576984163801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1568535465","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":[0.96387243,0.011281356,0.0010038178,0.00118876,0.0001752566,0.000018412742,0.0028201295,0.000075312106,0.019564552],"genre_scores_gemma":[0.98879457,0.0037975658,0.0007937101,0.00024250765,0.00008510091,0.0000124108665,0.004728564,0.00003276961,0.0015127846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999209,0.00011882307,0.000062572435,0.00016522125,0.0001401673,0.0003042404],"domain_scores_gemma":[0.9985018,0.00026121936,0.0003635977,0.00017144618,0.00046641077,0.0002356257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011281294,0.0005621165,0.000651692,0.004935423,0.00029630182,0.002543994,0.00028418802,0.0007472076,0.0014643094],"category_scores_gemma":[0.0022812483,0.00014621418,0.0012991064,0.0063129496,0.0008186057,0.001856147,0.0011098741,0.0006930824,0.0007915964],"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":[0.0009859934,0.0000646001,0.8127527,0.00056416745,0.0014708902,0.0017859035,0.0030206149,0.005242578,0.0029751419,0.018364377,0.009828901,0.1429442],"study_design_scores_gemma":[0.000027883401,0.00019604557,0.95888215,0.00025216045,0.00038945134,0.0006927922,0.0044313185,0.0010732431,0.0010980109,0.0022765214,0.030633504,0.000046819965],"about_ca_topic_score_codex":0.0116681345,"about_ca_topic_score_gemma":0.014197804,"teacher_disagreement_score":0.0116681345,"about_ca_system_score_codex":0.00071789155,"about_ca_system_score_gemma":0.00073445705,"threshold_uncertainty_score":0.023200452},"labels":[],"label_agreement":null},{"id":"W1568619192","doi":"","title":"A Perspective on Future Productivity Growth in Canada","year":2003,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Pace; Liberalization; Labour economics; Multifactor productivity; Total factor productivity; Agricultural economics; Macroeconomics; Market economy; Geography","score_opus":0.015422850161822852,"score_gpt":0.21169905225077296,"score_spread":0.1962762020889501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1568619192","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014891591,0.11712721,0.0030765636,0.4883974,0.008819573,0.000045311226,0.004677864,0.000283784,0.3626807],"genre_scores_gemma":[0.45712957,0.33964884,0.006370768,0.04477403,0.0036248707,0.00010801598,0.004425691,0.00018599034,0.14373226],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99699783,0.00015796871,0.000060178252,0.0001554756,0.0013988853,0.0012297601],"domain_scores_gemma":[0.9961371,0.00018603828,0.00009301341,0.00002971096,0.0029344873,0.00061963696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012576196,0.0011935557,0.0006363225,0.00438677,0.008378495,0.0069897156,0.0016135159,0.0028433464,0.0146539165],"category_scores_gemma":[0.0032223954,0.00024103804,0.0008933852,0.008329415,0.0026158278,0.00371284,0.0014834682,0.005199846,0.0014817774],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014827169,0.00005045133,0.0068433634,0.0005747511,0.000044090335,0.00066609634,0.0016752114,0.0050565707,0.00046177572,0.46040937,0.43611118,0.08795894],"study_design_scores_gemma":[0.00002266683,0.0000387261,0.013475525,0.0006257752,0.00003584678,0.00017698569,0.0038427904,0.0028426335,0.00025988233,0.0446251,0.93394697,0.00010700851],"about_ca_topic_score_codex":0.99003816,"about_ca_topic_score_gemma":0.98947746,"teacher_disagreement_score":0.13202974,"about_ca_system_score_codex":0.13202974,"about_ca_system_score_gemma":0.17261207,"threshold_uncertainty_score":0.9579473},"labels":[],"label_agreement":null},{"id":"W1568735961","doi":"","title":"Technological Achievement, High Technology Exports and Growth","year":2009,"lang":"en","type":"article","venue":"Journal of Comparative International Management","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Technological change; Economics; Per capita; Index (typography); Per capita income; Product (mathematics); International trade; Business; Demographic economics; Macroeconomics","score_opus":0.030007669511424664,"score_gpt":0.2492166873247299,"score_spread":0.21920901781330523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1568735961","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":[0.99632794,0.0001471208,0.00018780427,0.00009221576,0.000003955232,0.0000029464861,0.00020924985,0.000009130588,0.0030195953],"genre_scores_gemma":[0.9986687,0.00012780803,0.00008054658,0.0000072867597,0.000009197335,0.0000033526335,0.00028362242,0.0000021742662,0.0008173924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979395,0.000049175233,0.000013337894,0.00002873579,0.000040679035,0.00007415],"domain_scores_gemma":[0.993874,0.0026128313,0.0022414548,0.00015566274,0.00027458437,0.0008413812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004976957,0.00025574953,0.00017715007,0.0013184104,0.00025830694,0.0012593558,0.0001429782,0.0003265986,0.0055190064],"category_scores_gemma":[0.0035389033,0.00008390566,0.0003396008,0.0014188767,0.0005758349,0.00060261367,0.0008067087,0.00068358774,0.0006780017],"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":[0.00015792473,0.00008709979,0.98969215,0.00002654884,0.00006376046,0.00023070927,0.00014762013,0.0025150648,0.0003947458,0.001470963,0.00026802305,0.0049453317],"study_design_scores_gemma":[0.000009072191,0.00010208298,0.99456125,0.000015307709,0.000028124135,0.00023185625,0.00038420816,0.0024491074,0.00029381833,0.0011126144,0.0008049498,0.000007533802],"about_ca_topic_score_codex":0.0017865228,"about_ca_topic_score_gemma":0.0013871117,"teacher_disagreement_score":0.0055190064,"about_ca_system_score_codex":0.00025226656,"about_ca_system_score_gemma":0.00026521005,"threshold_uncertainty_score":0.018462896},"labels":[],"label_agreement":null},{"id":"W1569020143","doi":"","title":"Technology maturity and high tech venture attractiveness: A model for emerging technology based economic development","year":2013,"lang":"en","type":"article","venue":"Portland International Conference on Management of Engineering and Technology","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Commercialization; Entrepreneurship; Maturity (psychological); Emerging technologies; Venture capital; Business; Emerging markets; Industrial organization; New product development; Resource (disambiguation); Business model; Product (mathematics); Job creation; Technology management; Marketing; Economics; Computer science; Finance; Political science","score_opus":0.02209129630784267,"score_gpt":0.21706988204946753,"score_spread":0.19497858574162485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1569020143","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":[0.48316276,0.003057434,0.107434325,0.029076375,0.00015762285,0.00063622324,0.0013667166,0.0002967075,0.3748119],"genre_scores_gemma":[0.9808677,0.0011385975,0.0044449074,0.00021504931,0.0000320934,0.00022089566,0.000114265866,0.000018754672,0.012947891],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988919,0.0005578271,0.000030210971,0.00014571246,0.0001387697,0.00023565347],"domain_scores_gemma":[0.99447757,0.0029158,0.0009840867,0.0001418623,0.0004713941,0.0010093125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019053238,0.0007500234,0.00044588966,0.0030140765,0.0012802924,0.0053739673,0.0012125734,0.0020760512,0.012687549],"category_scores_gemma":[0.0052212104,0.00030775365,0.0008306416,0.0025803605,0.004286158,0.005492365,0.002728564,0.0021783798,0.0014594086],"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":[0.00007430666,0.0003419758,0.03205276,0.00009736272,0.000039910847,0.00067847956,0.002470404,0.016875336,0.00034067847,0.93109775,0.0028354279,0.013095491],"study_design_scores_gemma":[0.00014810685,0.00044960907,0.030750746,0.00032421024,0.00008891357,0.000977944,0.0076486883,0.19208668,0.0002602186,0.73011696,0.037041143,0.000106771506],"about_ca_topic_score_codex":0.0064816484,"about_ca_topic_score_gemma":0.0056948024,"teacher_disagreement_score":0.012687549,"about_ca_system_score_codex":0.0042580734,"about_ca_system_score_gemma":0.002959553,"threshold_uncertainty_score":0.04244405},"labels":[],"label_agreement":null},{"id":"W1570103333","doi":"","title":"Convergence in the canadian provinces: evidence using unemployment rates","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Unit root; Unemployment; Convergence (economics); Unemployment rate; Econometrics; Economics; Mathematics; Statistics; Demographic economics; Macroeconomics","score_opus":0.17383608783567162,"score_gpt":0.3263210614342711,"score_spread":0.15248497359859947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1570103333","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":[0.9671387,0.0040846225,0.001167511,0.0012310136,0.000042930347,0.000047365276,0.009782206,0.000059106347,0.016446648],"genre_scores_gemma":[0.9927119,0.0014985942,0.00050501036,0.00007146955,0.000012382977,0.000011007064,0.003806277,0.000016147627,0.0013671393],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99656075,0.0004036767,0.00024722406,0.00059114717,0.001268577,0.0009286685],"domain_scores_gemma":[0.98512655,0.0021090535,0.002039909,0.00087058975,0.009024807,0.0008290585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029795691,0.0005098039,0.00084841216,0.0058516134,0.0033054496,0.0020177758,0.0015422873,0.00056871626,0.0028673466],"category_scores_gemma":[0.022776544,0.00041944775,0.0009518429,0.012236322,0.0014093482,0.00084072794,0.0016491988,0.00085540663,0.0003091319],"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":[0.00054140773,0.00004775904,0.9311942,0.00031752576,0.00051415584,0.00030077118,0.0037227164,0.0058921142,0.0003739301,0.0062073683,0.0060016112,0.044886433],"study_design_scores_gemma":[0.000023649618,0.000024081522,0.98790205,0.000088479304,0.00012069549,0.00005352394,0.0017610993,0.0038850193,0.00027745182,0.00042263544,0.005398612,0.000042735803],"about_ca_topic_score_codex":0.9955842,"about_ca_topic_score_gemma":0.99397826,"teacher_disagreement_score":0.019904733,"about_ca_system_score_codex":0.019904733,"about_ca_system_score_gemma":0.025372725,"threshold_uncertainty_score":0.14441961},"labels":[],"label_agreement":null},{"id":"W1571413982","doi":"10.3386/w11107","title":"The Integration of the Canadian Productivity Accounts within the System of National Accounts: Current Status and Challenges Ahead","year":2005,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"National accounts; Productivity; Current (fluid); National Income and Product Accounts; Current account; Economics; Geography; Regional science; Economic growth; Accounting; Macroeconomics; Engineering","score_opus":0.4020461604952839,"score_gpt":0.43070426881124774,"score_spread":0.028658108315963826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1571413982","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028298037,0.05005142,0.052805804,0.44909397,0.012156575,0.0020214603,0.08569475,0.008244365,0.31163374],"genre_scores_gemma":[0.3040482,0.06538964,0.3224071,0.034789607,0.0053556804,0.0019266148,0.08482671,0.0034149038,0.17784165],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.96223336,0.005092272,0.002181507,0.0020313691,0.024835113,0.003626362],"domain_scores_gemma":[0.8167229,0.007817356,0.0037082522,0.0073021976,0.15549557,0.00895363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.042163245,0.0014704501,0.0018287811,0.017094528,0.013260673,0.017673224,0.008688117,0.0025060496,0.010857576],"category_scores_gemma":[0.08705041,0.0012269358,0.0014530129,0.040886346,0.003443827,0.01253015,0.0048889467,0.004831881,0.0039743306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095566545,0.00007837913,0.016222617,0.00079687685,0.00012614472,0.00005666128,0.0011244626,0.0013934274,0.00029568202,0.16923833,0.5420215,0.26855028],"study_design_scores_gemma":[0.000020092786,0.000018384218,0.054756086,0.0011493206,0.00007616458,0.000061074956,0.0018374658,0.0047066114,0.00043339966,0.013158498,0.92359775,0.00018510103],"about_ca_topic_score_codex":0.9901394,"about_ca_topic_score_gemma":0.98540145,"teacher_disagreement_score":0.8675874,"about_ca_system_score_codex":0.1324126,"about_ca_system_score_gemma":0.3886013,"threshold_uncertainty_score":0.9607251},"labels":[],"label_agreement":null},{"id":"W1571437176","doi":"","title":"Global Competitiveness and Canadian Sectoral/Regional Labour Productivity Differences","year":2003,"lang":"en","type":"article","venue":"Journal of Comparative International Management","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Productivity; Inefficiency; Data envelopment analysis; Economics; Total factor productivity; Scale (ratio); Economic geography; Labour economics; Agricultural economics; Economic growth; Geography; Market economy","score_opus":0.05238527483358228,"score_gpt":0.2553783218775775,"score_spread":0.20299304704399518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1571437176","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":[0.94110405,0.0027128267,0.00041951137,0.0011508174,0.00003095102,0.000017922048,0.004767659,0.000032178046,0.049764182],"genre_scores_gemma":[0.99552983,0.00081175345,0.0001850457,0.00006418447,0.00000578176,0.00000387429,0.0013451704,0.000007702969,0.002046711],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915373,0.000038863076,0.000025742347,0.00012541207,0.0003089163,0.00034724822],"domain_scores_gemma":[0.9980959,0.00012583921,0.00029468545,0.00007039203,0.0011544743,0.00025863657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010013373,0.0003370966,0.0002857641,0.0026499752,0.0015960891,0.0018333391,0.00049158407,0.0002352271,0.004006115],"category_scores_gemma":[0.00286259,0.00012260534,0.00048150212,0.0070587937,0.0010328469,0.0004956042,0.0011224801,0.00041877272,0.00021784789],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030100712,0.000027029739,0.9176892,0.00016419376,0.00020891314,0.0002833412,0.0027308455,0.003519922,0.0007958754,0.014913239,0.0063772514,0.052989133],"study_design_scores_gemma":[0.0000047556036,0.000011371821,0.99055743,0.000022683067,0.000035515648,0.000043023145,0.0015970828,0.00043465142,0.00014003094,0.00038305466,0.006754408,0.00001598704],"about_ca_topic_score_codex":0.9880751,"about_ca_topic_score_gemma":0.992187,"teacher_disagreement_score":0.9729962,"about_ca_system_score_codex":0.02700382,"about_ca_system_score_gemma":0.022708232,"threshold_uncertainty_score":0.19592732},"labels":[],"label_agreement":null},{"id":"W1571683631","doi":"","title":"Slow Growth and the Kansas Productivity Puzzle","year":2004,"lang":"en","type":"preprint","venue":"","topic":"Economic Growth and Productivity","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":"Productivity; Quarter (Canadian coin); Slow growth; Economics; Position (finance); Disadvantage; Population growth; Population; Labour economics; Annual growth %; Agricultural economics; Demographic economics; Economic growth; Political science; Market economy; Geography; Demography; Sociology; Finance","score_opus":0.025033150259617044,"score_gpt":0.19568420670368655,"score_spread":0.1706510564440695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1571683631","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":[0.77061886,0.014185957,0.003206965,0.12766963,0.00052041997,0.000023076553,0.0037313886,0.0001935795,0.079850085],"genre_scores_gemma":[0.98522747,0.004261354,0.00030458704,0.0025003224,0.00017459915,0.000011839227,0.0006901126,0.0000313707,0.0067983796],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999373,0.000111029505,0.000035877958,0.000093177376,0.00013767337,0.00024918228],"domain_scores_gemma":[0.9953157,0.0014179207,0.0013979563,0.00034365166,0.0010334528,0.0004913292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015580619,0.00036929734,0.00044141323,0.0019006396,0.0016933073,0.0038944765,0.0006249823,0.0014978994,0.006541378],"category_scores_gemma":[0.0074060177,0.00032348614,0.00028974784,0.003493717,0.0021645206,0.0030233948,0.001887927,0.0019412559,0.0010923382],"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":[0.0007795314,0.00020176683,0.34798762,0.0006896462,0.00032694693,0.0021352763,0.011657756,0.0069219912,0.0014781144,0.314482,0.15885697,0.15448241],"study_design_scores_gemma":[0.00027152957,0.00012666134,0.44184986,0.0006729862,0.0001678459,0.00084426755,0.016682912,0.008864396,0.0010918187,0.26425934,0.26500857,0.00015978499],"about_ca_topic_score_codex":0.06425129,"about_ca_topic_score_gemma":0.047469944,"teacher_disagreement_score":0.06425129,"about_ca_system_score_codex":0.0034993242,"about_ca_system_score_gemma":0.001948011,"threshold_uncertainty_score":0.12775463},"labels":[],"label_agreement":null},{"id":"W1572061961","doi":"","title":"Education, Industry, Trade and Development of American Countries in 1980-99","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Gross domestic product; Latin Americans; Economics; Poverty; Total fertility rate; Population; Development economics; International trade; Debt; Population growth; Economic growth; Political science; Finance","score_opus":0.017622880750764083,"score_gpt":0.20975277868210035,"score_spread":0.19212989793133628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1572061961","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":[0.7239641,0.03625492,0.00030897596,0.0070329513,0.00028734325,0.000035129913,0.020131612,0.000073875206,0.21191114],"genre_scores_gemma":[0.93868035,0.020151047,0.00040287248,0.0004420591,0.00009020392,0.000030388317,0.007777284,0.000009634936,0.032416184],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998652,0.000016151953,0.000008322864,0.000015242333,0.000035752066,0.0000593094],"domain_scores_gemma":[0.999749,0.000034238128,0.0000665947,0.0000068479135,0.000090292386,0.00005297234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021274449,0.00019822577,0.000100487225,0.003077315,0.0006606996,0.001344615,0.00015454835,0.0003507205,0.0038834934],"category_scores_gemma":[0.0008308851,0.000069610134,0.00010626752,0.007592625,0.00034270764,0.0007477921,0.00047048187,0.0004542492,0.0005867458],"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":[0.00031615878,0.00034284263,0.52810305,0.00048985844,0.0000817718,0.0019009132,0.0049130316,0.0052256896,0.0004762078,0.09230557,0.10628898,0.25955582],"study_design_scores_gemma":[0.000012660403,0.000033123484,0.6854013,0.00021937146,0.000023397703,0.0003097235,0.0023715324,0.00045133705,0.00027694943,0.00395131,0.3069389,0.000010392038],"about_ca_topic_score_codex":0.14992012,"about_ca_topic_score_gemma":0.24102436,"teacher_disagreement_score":0.14992012,"about_ca_system_score_codex":0.0027319333,"about_ca_system_score_gemma":0.0024317016,"threshold_uncertainty_score":0.29809493},"labels":[],"label_agreement":null},{"id":"W1572465645","doi":"","title":"Interpreting Canada's Productivity Performance in the Past Decade: Lessons from Recent Research","year":2007,"lang":"en","type":"article","venue":"Bank of Canada review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Investment (military); Benchmark (surveying); Economic geography; Macroeconomics; Political science; Geography","score_opus":0.07175351953356857,"score_gpt":0.2910861784998074,"score_spread":0.21933265896623882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1572465645","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34684503,0.41430262,0.002818199,0.08261511,0.0020388544,0.00010292923,0.0365096,0.00016907194,0.11459857],"genre_scores_gemma":[0.82776886,0.14756157,0.0018793873,0.0036131097,0.0008501383,0.000032863525,0.009804475,0.00007581088,0.008413858],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977422,0.00018574014,0.00016366939,0.00026270057,0.001094828,0.0005508638],"domain_scores_gemma":[0.972384,0.0031253279,0.002130051,0.0003536258,0.020872982,0.0011339402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045128097,0.00062755065,0.00092767435,0.009799466,0.0023215427,0.0064017065,0.0014154629,0.00085596263,0.0029068857],"category_scores_gemma":[0.018072538,0.00027772208,0.00056673744,0.03676808,0.0014432748,0.0015608238,0.00095105614,0.0014935597,0.00036167816],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003054883,0.00009903053,0.57859826,0.0035053547,0.0009851428,0.0006830148,0.005728109,0.0066694245,0.00037762168,0.028412728,0.13031061,0.24432519],"study_design_scores_gemma":[0.000024844676,0.000051400868,0.82149345,0.0021497207,0.0005724333,0.0001327105,0.007549148,0.002258006,0.00057121285,0.0022514693,0.16284105,0.00010458373],"about_ca_topic_score_codex":0.994898,"about_ca_topic_score_gemma":0.99661773,"teacher_disagreement_score":0.9410575,"about_ca_system_score_codex":0.058942515,"about_ca_system_score_gemma":0.08264965,"threshold_uncertainty_score":0.42765987},"labels":[],"label_agreement":null},{"id":"W1573577276","doi":"","title":"Les termes de l'echange et la depense interieure","year":2008,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Humanities; Political science; Philosophy","score_opus":0.06517529715103026,"score_gpt":0.3120514435117943,"score_spread":0.24687614636076405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1573577276","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":[0.866337,0.015310658,0.028068496,0.0064565763,0.0003369426,0.00009844164,0.0040457738,0.00026339726,0.07908264],"genre_scores_gemma":[0.9784409,0.002453907,0.0033389446,0.00028690966,0.000121942074,0.000039810577,0.00084210385,0.000092468494,0.014383087],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99814343,0.00019070192,0.000117304204,0.00035178932,0.0008947286,0.0003020629],"domain_scores_gemma":[0.991438,0.003374486,0.0016064264,0.00084536476,0.0022007958,0.0005350109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017149436,0.00026196145,0.00052200834,0.0011418653,0.0014744021,0.0044671115,0.00096178264,0.00088702666,0.007969395],"category_scores_gemma":[0.012580114,0.00020421055,0.00059956615,0.0034637954,0.0019005717,0.0017875632,0.0016165369,0.0017636745,0.000904885],"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":[0.0014944391,0.00015633502,0.35448417,0.00095843116,0.00062377786,0.0016204303,0.008170477,0.053111237,0.020925632,0.23439659,0.016010467,0.308048],"study_design_scores_gemma":[0.000056544188,0.00023480204,0.743151,0.00029389103,0.0002259952,0.00071424275,0.006221949,0.016827412,0.008041483,0.07666347,0.14734772,0.00022150425],"about_ca_topic_score_codex":0.2520972,"about_ca_topic_score_gemma":0.20560272,"teacher_disagreement_score":0.2520972,"about_ca_system_score_codex":0.005625678,"about_ca_system_score_gemma":0.0023029977,"threshold_uncertainty_score":0.5012597},"labels":[],"label_agreement":null},{"id":"W1574542527","doi":"","title":"Innovation, Competition and Growth: A Schumpeterian Perspective on Canada’s Economy","year":2007,"lang":"en","type":"article","venue":"C.D. Howe Institute Commentary","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":29,"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":"Competition (biology); Perspective (graphical); Economics; Competition policy; Technological change; International trade; Innovation economics; Growth model; Growth theory; International economics; Industrial organization; Economic system; Neoclassical economics; Macroeconomics","score_opus":0.02442305317579153,"score_gpt":0.21918427585312508,"score_spread":0.19476122267733356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1574542527","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":[0.0007200654,0.01658677,0.00037496412,0.95988864,0.004588622,0.0000065862564,0.00012533138,0.000011028851,0.017698022],"genre_scores_gemma":[0.12224181,0.047338963,0.0015369683,0.77447164,0.02239613,0.000062764564,0.00013317223,0.00005111343,0.031767447],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.996603,0.0006733096,0.0000851359,0.00033107877,0.0015418496,0.0007655906],"domain_scores_gemma":[0.99185526,0.0040308265,0.00021727917,0.00010885203,0.0031912562,0.0005964881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031763539,0.00078487425,0.0010057521,0.002565894,0.013139902,0.007514737,0.0038095252,0.02323007,0.004316153],"category_scores_gemma":[0.011147872,0.0002857047,0.0008741819,0.003576902,0.019351501,0.0051528527,0.0017645957,0.018522102,0.0006223868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024953888,0.000009127592,0.00026365847,0.00010367937,0.000012922199,0.00024643991,0.0010084383,0.00059799844,0.00006368911,0.4887559,0.50219005,0.006723102],"study_design_scores_gemma":[0.00004697061,0.000016683023,0.0015938922,0.00086793525,0.000034867997,0.000103077815,0.002271722,0.0017196175,0.00017318498,0.24394107,0.7491381,0.0000928192],"about_ca_topic_score_codex":0.91324794,"about_ca_topic_score_gemma":0.9489229,"teacher_disagreement_score":0.08675206,"about_ca_system_score_codex":0.07332578,"about_ca_system_score_gemma":0.08402501,"threshold_uncertainty_score":0.5320183},"labels":[],"label_agreement":null},{"id":"W1574951589","doi":"","title":"Export-Led Recoveries in a Small Open Industrialized Economy","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Small open economy; Economics; International trade; Open economy; International economics; Economy; Business; Monetary economics; Monetary policy; Exchange rate","score_opus":0.14177176504902855,"score_gpt":0.3072192773606402,"score_spread":0.16544751231161164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1574951589","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":[0.9956339,0.00012451963,0.002283021,0.00020911045,0.000005183728,0.000013786385,0.0002508751,0.000059201757,0.0014203294],"genre_scores_gemma":[0.9988721,0.00010318127,0.00016568141,0.000012150949,0.0000023429534,0.000003143748,0.00018129214,0.0000036655701,0.0006562925],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9998159,0.000022199054,0.000010212123,0.0000353916,0.000046870067,0.00006943066],"domain_scores_gemma":[0.99913317,0.0002659653,0.00033511364,0.00008832584,0.00009748941,0.00007987074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068644877,0.00035893722,0.00045708558,0.000613793,0.00037206442,0.00084511214,0.00050174235,0.0005796634,0.0015559122],"category_scores_gemma":[0.0032853617,0.00017820724,0.00051659765,0.0006619195,0.00078988296,0.00065256056,0.00081842166,0.0006171092,0.00012312131],"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":[0.0019139574,0.0005138413,0.18742882,0.0002540201,0.00030848285,0.0038383936,0.001094824,0.70358855,0.008174416,0.032756135,0.003677005,0.05645162],"study_design_scores_gemma":[0.00027965687,0.00058207975,0.28456467,0.000049171682,0.00024380139,0.00045595947,0.0019769517,0.6616042,0.005672627,0.039269634,0.0051629124,0.00013829576],"about_ca_topic_score_codex":0.090419255,"about_ca_topic_score_gemma":0.05462036,"teacher_disagreement_score":0.090419255,"about_ca_system_score_codex":0.0015412339,"about_ca_system_score_gemma":0.0008411595,"threshold_uncertainty_score":0.1797859},"labels":[],"label_agreement":null},{"id":"W1575423947","doi":"10.1016/s1573-4412(07)06066-7","title":"Chapter 66 The Measurement of Productivity for Nations","year":2007,"lang":"en","type":"book-chapter","venue":"Handbook of econometrics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":29,"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 Alberta; University of British Columbia","funders":"","keywords":"Productivity; Economics; Natural resource economics; Economic growth","score_opus":0.22185792295387424,"score_gpt":0.2354595385970813,"score_spread":0.013601615643207055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1575423947","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017638593,0.08574392,0.028598046,0.010649796,0.008019989,0.00011431251,0.0063412786,0.0008198671,0.8579489],"genre_scores_gemma":[0.02424265,0.09344459,0.028641557,0.0023205823,0.003516934,0.00022366966,0.0055265278,0.0006275894,0.8414559],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997305,0.00006109947,0.000018852052,0.00004434745,0.00012312604,0.000022087857],"domain_scores_gemma":[0.99961925,0.00016681518,0.000025270663,0.000041435174,0.00012480648,0.000022444021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040574704,0.0008210588,0.0005472549,0.0016526388,0.00057857926,0.0024366817,0.00063820375,0.0007931042,0.07129802],"category_scores_gemma":[0.0017193878,0.0003347659,0.00040836143,0.0038798295,0.00055612944,0.0022514444,0.0005466752,0.001794787,0.02331725],"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":[0.000008841537,0.000037166694,0.00032009656,0.00022608523,0.000008811958,0.000023165527,0.00013272537,0.0005412363,0.00016011446,0.17626801,0.67208356,0.15019016],"study_design_scores_gemma":[0.0000017823917,0.000008332471,0.0009146591,0.00024857913,0.0000062511804,0.00008388798,0.000063332845,0.00032453408,0.00020006762,0.054928508,0.94321054,0.000009500973],"about_ca_topic_score_codex":0.0044077625,"about_ca_topic_score_gemma":0.00636871,"teacher_disagreement_score":0.07129802,"about_ca_system_score_codex":0.0010566345,"about_ca_system_score_gemma":0.0014973625,"threshold_uncertainty_score":0.23851562},"labels":[],"label_agreement":null},{"id":"W157592321","doi":"10.14264/222948","title":"Exchange rate volatility and trade/productivity in Australia","year":2005,"lang":"en","type":"dissertation","venue":"The University of Queensland","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Volatility (finance); Exchange rate; Depreciation (economics); Productivity; International economics; Monetary economics; Macroeconomics; Econometrics; Economic growth","score_opus":0.033038823057299056,"score_gpt":0.21034335877615146,"score_spread":0.1773045357188524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W157592321","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":[0.99257374,0.0006016543,0.00024773326,0.0003072734,0.000007987789,0.0000047712456,0.000098701836,0.0000037511131,0.0061542816],"genre_scores_gemma":[0.99815077,0.00045077957,0.000088733505,0.000016318387,0.0000068346453,0.0000014061459,0.00006410732,0.0000014108823,0.0012197],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976367,0.00005084949,0.000025296935,0.00003068505,0.000089373774,0.000040117222],"domain_scores_gemma":[0.998698,0.00027640883,0.0006508764,0.000059085174,0.00019111748,0.00012452724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004963739,0.00010633828,0.00014699534,0.0006072093,0.0003059288,0.0015770707,0.0001203292,0.00019646586,0.0015136754],"category_scores_gemma":[0.0025833775,0.00008403907,0.00020390196,0.0013730419,0.00039241285,0.00050579367,0.00060246926,0.00041326016,0.00015679552],"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":[0.00023293801,0.00010805519,0.89250994,0.00018717667,0.00015613892,0.0015637369,0.008739638,0.007078111,0.003228476,0.01929853,0.0015008983,0.06539631],"study_design_scores_gemma":[0.0000030910937,0.00005948653,0.988632,0.000039614857,0.000020619413,0.00017413855,0.0016944536,0.0037591124,0.00028083412,0.0023155299,0.00301066,0.00001039176],"about_ca_topic_score_codex":0.021077348,"about_ca_topic_score_gemma":0.014089813,"teacher_disagreement_score":0.021077348,"about_ca_system_score_codex":0.00081853353,"about_ca_system_score_gemma":0.0005787897,"threshold_uncertainty_score":0.041909277},"labels":[],"label_agreement":null},{"id":"W1576701954","doi":"10.3386/w9240","title":"Decomposing the Twin-peaks in the World Distribution of Output-per-worker","year":2002,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Distribution (mathematics); Economics; Demographic economics; Investment (military); Human capital; Population; Convergence (economics); Income distribution; Physical capital; Contrast (vision); Economic geography; Econometrics; Economic growth; Demography; Inequality; Mathematics; Political science; Physics","score_opus":0.2829558822626377,"score_gpt":0.40725118753636685,"score_spread":0.12429530527372917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1576701954","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":[0.98090506,0.0007896802,0.010134097,0.0005005428,0.000023583128,0.000014458581,0.00068733195,0.00006818001,0.006876982],"genre_scores_gemma":[0.9982206,0.00023023083,0.00075651146,0.00002638249,0.00001605737,0.0000037089624,0.00039913418,0.000014472026,0.00033286648],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997056,0.00005235482,0.000020070487,0.000090148395,0.000059489634,0.00007231596],"domain_scores_gemma":[0.9981629,0.00068296207,0.0005408577,0.00021926966,0.00027366763,0.00012042529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008015625,0.00016854842,0.00033489612,0.0017409722,0.00030082048,0.0018141132,0.0003836184,0.00043560876,0.0025922835],"category_scores_gemma":[0.005351118,0.0002024749,0.00038022382,0.0024086724,0.0008863342,0.0022898582,0.0012853532,0.0008191144,0.00031869518],"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":[0.00049176597,0.000051107487,0.85477203,0.0001402994,0.00024828175,0.0010704746,0.0023924424,0.014501225,0.0022493517,0.04492041,0.0022507755,0.0769117],"study_design_scores_gemma":[0.000013927399,0.000059415608,0.9447602,0.00004778446,0.0000490071,0.00054377556,0.002135946,0.01676747,0.0009198507,0.028735401,0.005927773,0.000039471368],"about_ca_topic_score_codex":0.0030639758,"about_ca_topic_score_gemma":0.003382071,"teacher_disagreement_score":0.0030639758,"about_ca_system_score_codex":0.0006100014,"about_ca_system_score_gemma":0.00017893956,"threshold_uncertainty_score":0.008672118},"labels":[],"label_agreement":null},{"id":"W1577356994","doi":"10.7202/012843ar","title":"Qu’en est-il des externalités du capital des technologies de l’information?","year":2006,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Panel data; Welfare economics; Economics; Externality; Econometrics; Microeconomics","score_opus":0.02014175229672141,"score_gpt":0.19866501838678505,"score_spread":0.17852326609006364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1577356994","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":[0.5868958,0.007411246,0.28028047,0.017502422,0.0005527358,0.0005626815,0.01159653,0.00044757812,0.094750546],"genre_scores_gemma":[0.92749727,0.0038941107,0.03858357,0.0014809824,0.0003035814,0.0007211423,0.003887256,0.000193621,0.023438446],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98841,0.0035233127,0.0008798509,0.0024905785,0.0038467087,0.0008495598],"domain_scores_gemma":[0.91169184,0.06765241,0.0069876537,0.007477169,0.005736871,0.00045402796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014857025,0.0007868318,0.0012240385,0.003846985,0.0013261422,0.007827386,0.0013125726,0.0016421864,0.016404495],"category_scores_gemma":[0.07627882,0.00076204113,0.0025603604,0.008197433,0.0025816862,0.007482652,0.002512221,0.0022867357,0.0015587095],"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":[0.00054044474,0.00025605562,0.51233697,0.0020073843,0.0027766768,0.00094346836,0.0063211666,0.063109465,0.0021676368,0.18059243,0.006940511,0.22200775],"study_design_scores_gemma":[0.000100924284,0.00037336344,0.66202354,0.0017382688,0.0015144526,0.00084674614,0.008237326,0.04158296,0.0063700336,0.16001928,0.116919264,0.00027390994],"about_ca_topic_score_codex":0.045693893,"about_ca_topic_score_gemma":0.042747978,"teacher_disagreement_score":0.045693893,"about_ca_system_score_codex":0.0037296254,"about_ca_system_score_gemma":0.0043997057,"threshold_uncertainty_score":0.0908559},"labels":[],"label_agreement":null},{"id":"W1577972414","doi":"10.1002/j.1681-4835.2004.tb00125.x","title":"ICT and Productivity of the Manufacturing Industries in Iran","year":2004,"lang":"en","type":"article","venue":"The Electronic Journal of Information Systems in Developing Countries","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Information and Communications Technology; Productivity; Context (archaeology); Manufacturing sector; Panel data; Business; Developing country; Manufacturing; Industrial organization; Human capital; Capital (architecture); Economics; Labour economics; Economic growth; Marketing; Econometrics; Computer science; Geography","score_opus":0.017226152069246378,"score_gpt":0.20065437758773583,"score_spread":0.18342822551848945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1577972414","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":[0.9967056,0.0002899263,0.00017265712,0.00017442284,0.0000050878016,0.000006277883,0.00086211896,0.000011138532,0.0017727251],"genre_scores_gemma":[0.99869496,0.0001567807,0.000098528675,0.000008924822,0.0000098717765,0.0000032693297,0.00068774854,9.476711e-7,0.00033900858],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970657,0.00004071565,0.000018858414,0.000037169022,0.00011045202,0.00008616101],"domain_scores_gemma":[0.9978853,0.00048419947,0.00086098874,0.00007760605,0.00049228815,0.00019959082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047383824,0.00020275466,0.00020335948,0.0018348082,0.00017025477,0.0006616795,0.00021065417,0.00014667682,0.002389975],"category_scores_gemma":[0.0024922949,0.00009333336,0.0002880204,0.0024804978,0.00021329778,0.00029830664,0.00036877912,0.00033189062,0.0005453234],"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":[0.00006533417,0.00006869945,0.9789058,0.000033952572,0.00005396964,0.00015140908,0.0003053037,0.0021061816,0.00051758136,0.0005209224,0.0008466371,0.016424162],"study_design_scores_gemma":[0.000004077388,0.00003665945,0.996743,0.00000939711,0.000011719141,0.00006144169,0.0003830505,0.0009323617,0.00030781233,0.00020850419,0.0012987338,0.0000032890582],"about_ca_topic_score_codex":0.016843967,"about_ca_topic_score_gemma":0.010819939,"teacher_disagreement_score":0.016843967,"about_ca_system_score_codex":0.00081741426,"about_ca_system_score_gemma":0.0007740345,"threshold_uncertainty_score":0.03349185},"labels":[],"label_agreement":null},{"id":"W1579819222","doi":"10.2139/ssrn.1517255","title":"Investment in Intangible Assets in Canada: R&amp;D, Innovation, Brand, and Mining, Oil and Gas Exploration Expenditures","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Canada; Statistics Canada","funders":"","keywords":"Business; Investment (military); Fossil fuel; Commerce; Natural resource economics; Cryptocurrency; Industrial organization; Finance; Economics; Waste management; Engineering; Computer science","score_opus":0.022692291988534168,"score_gpt":0.21304688702991487,"score_spread":0.1903545950413807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1579819222","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":[0.9206431,0.0065729814,0.0005145336,0.008611254,0.00009228871,0.000057929483,0.041968442,0.000132171,0.021407325],"genre_scores_gemma":[0.9510745,0.0042554457,0.00048894796,0.00033260777,0.000034726483,0.000014356774,0.008705964,0.000024843046,0.035068776],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990884,0.00003299611,0.00005681092,0.00010971686,0.00033004468,0.00038202314],"domain_scores_gemma":[0.995783,0.0004029193,0.00078600494,0.000060362785,0.0017604308,0.0012073709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005492307,0.00046463072,0.000527541,0.002281726,0.0015439375,0.002948385,0.0014191531,0.0011882603,0.011620812],"category_scores_gemma":[0.0029782378,0.00034411065,0.00076973735,0.0061853323,0.0007456576,0.0012176759,0.0011475141,0.0017131045,0.00075674866],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003709444,0.00017076776,0.90735614,0.00025152107,0.00032098262,0.0004340543,0.0008296705,0.008926412,0.0004443766,0.02094149,0.027319193,0.032634497],"study_design_scores_gemma":[0.00005062537,0.000056875084,0.95049596,0.00023593992,0.00032875632,0.00015467359,0.003231043,0.010841036,0.0009830344,0.002395659,0.031144092,0.00008227017],"about_ca_topic_score_codex":0.9981719,"about_ca_topic_score_gemma":0.999038,"teacher_disagreement_score":0.9347098,"about_ca_system_score_codex":0.06529023,"about_ca_system_score_gemma":0.10021704,"threshold_uncertainty_score":0.47371596},"labels":[],"label_agreement":null},{"id":"W1581671628","doi":"","title":"La productivite du Canada de 1961 a 2008 : mise a jour des tendances a long terme","year":2009,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Political science; Humanities; Philosophy","score_opus":0.027295523877052107,"score_gpt":0.25402300581495685,"score_spread":0.22672748193790473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1581671628","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":[0.7679768,0.046911955,0.0039548078,0.008185679,0.00048382225,0.00008224216,0.103815176,0.00032604925,0.06826345],"genre_scores_gemma":[0.9224606,0.019793132,0.0040429793,0.0003601353,0.00014581344,0.000043347725,0.019877441,0.00011010775,0.033166394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986841,0.00006765739,0.00005840647,0.00021649724,0.0007984775,0.00017475424],"domain_scores_gemma":[0.9881622,0.0012664876,0.0013661622,0.00029182518,0.00816439,0.0007490307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016648719,0.00042791467,0.00039089404,0.006074556,0.0018278403,0.0030231792,0.00065698056,0.00037501025,0.0044405395],"category_scores_gemma":[0.007031531,0.0003012441,0.0004353462,0.013670427,0.0011330266,0.0009925871,0.0007362924,0.0011584117,0.0005433982],"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":[0.0009280357,0.00007195754,0.61775726,0.001052482,0.0005414762,0.0004998453,0.020019962,0.0024465567,0.0018273131,0.01626822,0.050266836,0.28832003],"study_design_scores_gemma":[0.000008662021,0.000043992222,0.8285236,0.00037015715,0.00006912979,0.00009458552,0.0036687069,0.0007012544,0.0014013017,0.0005549092,0.16447182,0.00009189864],"about_ca_topic_score_codex":0.9809058,"about_ca_topic_score_gemma":0.9811762,"teacher_disagreement_score":0.027805146,"about_ca_system_score_codex":0.027805146,"about_ca_system_score_gemma":0.024075815,"threshold_uncertainty_score":0.2017414},"labels":[],"label_agreement":null},{"id":"W1581877141","doi":"10.2139/ssrn.1507751","title":"Investment and Long-term Productivity Growth in the Canadian Business Sector, 1961 to 2002","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Canada; Statistics Canada","funders":"","keywords":"Productivity; Term (time); Investment (military); Economics; Business; Business sector; Macroeconomics; Economy; Political science","score_opus":0.01817400696737866,"score_gpt":0.205260828894111,"score_spread":0.18708682192673234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1581877141","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":[0.88316905,0.015290855,0.0005012705,0.007049816,0.00023077242,0.000047402096,0.0762498,0.0001105532,0.017350517],"genre_scores_gemma":[0.95610803,0.005809278,0.00026396994,0.00022549367,0.000091886286,0.00001723927,0.020002102,0.000016218273,0.017465837],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992274,0.000024282934,0.000045012846,0.00008111753,0.0002588868,0.00036330958],"domain_scores_gemma":[0.9948777,0.00029477724,0.00087316294,0.000101918835,0.002979599,0.00087294396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000921633,0.000579683,0.00038708013,0.0033678878,0.0015614154,0.0018845407,0.0010342046,0.00086156005,0.0028009457],"category_scores_gemma":[0.0053727897,0.00023446242,0.00067136035,0.008209068,0.00072147755,0.0009956382,0.0007827022,0.0015148923,0.0005923214],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006495192,0.00015541837,0.902013,0.0003602588,0.00024075039,0.00039826994,0.002061338,0.005202389,0.0003223631,0.0054146657,0.033645302,0.04953677],"study_design_scores_gemma":[0.0000110857845,0.000017206292,0.9796323,0.00008554695,0.000058354144,0.00005699427,0.00051401724,0.0011294428,0.00025747623,0.00015919768,0.01805449,0.00002387308],"about_ca_topic_score_codex":0.99604744,"about_ca_topic_score_gemma":0.99762315,"teacher_disagreement_score":0.9347656,"about_ca_system_score_codex":0.065234445,"about_ca_system_score_gemma":0.04080345,"threshold_uncertainty_score":0.47331125},"labels":[],"label_agreement":null},{"id":"W1582010909","doi":"","title":"Commentary on What do we know (and not know) about potential output","year":2009,"lang":"en","type":"article","venue":"Canadian parliamentary review","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital (architecture); Economics; Argument (complex analysis); Productivity; Dimension (graph theory); Abstraction; Simple (philosophy); Microeconomics; Macroeconomics; Mathematics","score_opus":0.02417395725043864,"score_gpt":0.22140378631392874,"score_spread":0.1972298290634901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1582010909","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":[0.0001805313,0.0375957,0.00011878607,0.9130073,0.041471623,0.00001310396,0.0006698774,0.000019207626,0.0069239247],"genre_scores_gemma":[0.010190433,0.035825305,0.00041748188,0.8969438,0.042581283,0.00007237036,0.00036250983,0.00010110068,0.013505602],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.96876377,0.0050258557,0.0032426578,0.0026097575,0.01690923,0.00344882],"domain_scores_gemma":[0.86006105,0.050002612,0.004910088,0.0024248504,0.07595835,0.0066430066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026850136,0.0012338044,0.0040709246,0.005956098,0.008129829,0.008717769,0.008425772,0.02859179,0.008062045],"category_scores_gemma":[0.10751258,0.0014197802,0.0019485571,0.008784099,0.011096575,0.0062150275,0.002803183,0.031602666,0.0042697443],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020713162,0.0000029705075,0.00009052187,0.00037146042,0.000025546602,0.000045651275,0.00024793568,0.0000322343,0.000029126679,0.008379249,0.9868656,0.0038889404],"study_design_scores_gemma":[0.000030938176,0.00000493582,0.0014488371,0.0028715387,0.0000759068,0.0000701388,0.00057967054,0.00004391569,0.00008424904,0.0049984744,0.98972636,0.00006501426],"about_ca_topic_score_codex":0.6954952,"about_ca_topic_score_gemma":0.7366828,"teacher_disagreement_score":0.3045048,"about_ca_system_score_codex":0.042412717,"about_ca_system_score_gemma":0.1000057,"threshold_uncertainty_score":0.61259615},"labels":[],"label_agreement":null},{"id":"W1582037436","doi":"10.1007/978-1-4614-9311-2_3","title":"Modeling of Technological Change","year":2013,"lang":"en","type":"book-chapter","venue":"Springer optimization and its applications","topic":"Economic Growth and Productivity","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 Alberta","funders":"","keywords":"Technological change; Technical change; Economics; Technical progress; Human capital; Section (typography); Productivity; Endogenous growth theory; Economic system; Neoclassical economics; Industrial organization; Macroeconomics; Business; Market economy","score_opus":0.06488421370427823,"score_gpt":0.2122113261576797,"score_spread":0.14732711245340147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1582037436","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024454476,0.0069779344,0.81403065,0.0037505499,0.00085388246,0.00008209331,0.0016601827,0.0007365938,0.14745362],"genre_scores_gemma":[0.7461288,0.008346365,0.096148565,0.00054040435,0.00086705154,0.00038501865,0.0015045565,0.0005669096,0.14551233],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973303,0.00008898577,0.000012039515,0.000065244465,0.00006614192,0.000034601708],"domain_scores_gemma":[0.99962294,0.00016443376,0.000059749487,0.000055153152,0.00005253424,0.000045237706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041862385,0.00089289324,0.0011717087,0.00081574905,0.00044931052,0.0022380427,0.0015228058,0.0022806092,0.010976518],"category_scores_gemma":[0.001976643,0.00063747587,0.0011240917,0.0012114698,0.001022303,0.0018517686,0.0013875107,0.001369182,0.0018898273],"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":[0.000016161648,0.000027562346,0.00028619324,0.000068990405,0.000036778918,0.000043240176,0.00003946656,0.69687784,0.0005995651,0.2808033,0.0061051976,0.0150957145],"study_design_scores_gemma":[0.000006476381,0.0000060522952,0.00014281014,0.000011418967,0.000007654138,0.000019836236,0.000008630016,0.8788409,0.00014932315,0.113423,0.007375499,0.000008401354],"about_ca_topic_score_codex":0.0076269214,"about_ca_topic_score_gemma":0.0041219597,"teacher_disagreement_score":0.010976518,"about_ca_system_score_codex":0.0012104656,"about_ca_system_score_gemma":0.0008676147,"threshold_uncertainty_score":0.036720157},"labels":[],"label_agreement":null},{"id":"W1582408799","doi":"10.1111/caje.12037","title":"Income convergence among U.S. states: cross‐sectional and time series evidence","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Economics; Probit; Econometrics; Per capita income; Probit model; Per capita; Ordered probit; Convergence clubs; Capital (architecture); Demographic economics; Geography; Macroeconomics; Demography","score_opus":0.09293181705240076,"score_gpt":0.17885956073148138,"score_spread":0.08592774367908061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1582408799","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":[0.9948744,0.00046286668,0.00046167723,0.00027069027,0.00001377034,0.0000069955195,0.0016710673,0.00001509114,0.0022234772],"genre_scores_gemma":[0.9966838,0.00023873129,0.00016044911,0.00004505508,0.0000133211015,0.000005732969,0.0026335781,0.000004772861,0.00021460577],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990013,0.00039090996,0.00011426493,0.00020473926,0.0001675356,0.00012123565],"domain_scores_gemma":[0.9863898,0.0050652386,0.0039725527,0.0010793852,0.0027644425,0.00072852185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026756197,0.00017121462,0.00037673593,0.0031139054,0.0005086862,0.00088407844,0.0003730502,0.00035054734,0.002940768],"category_scores_gemma":[0.011807071,0.00017624514,0.00044678745,0.0044242805,0.0006616347,0.0007518711,0.0010837178,0.00067845394,0.00047439642],"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":[0.00006494309,0.000041011506,0.9907354,0.000014822195,0.00017378428,0.00005297615,0.00030515163,0.0011081834,0.00004827099,0.00072156993,0.0010847993,0.0056491406],"study_design_scores_gemma":[0.0000063372927,0.000043308613,0.9953818,0.000045283312,0.000059611677,0.000052517542,0.0006570637,0.0020323829,0.00010027418,0.00040839004,0.001202013,0.000011078321],"about_ca_topic_score_codex":0.039775513,"about_ca_topic_score_gemma":0.031566184,"teacher_disagreement_score":0.039775513,"about_ca_system_score_codex":0.00042907166,"about_ca_system_score_gemma":0.00040018818,"threshold_uncertainty_score":0.07908803},"labels":[],"label_agreement":null},{"id":"W1582672104","doi":"10.1162/adev_a_00013","title":"Demographic Dividends Revisited","year":2013,"lang":"en","type":"article","venue":"Asian Development Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Demographic dividend; Demographic transition; Emigration; Economics; Demographic change; Dividend; Overlapping generations model; Convergence (economics); Human capital; Demographic economics; Labour economics; Population; Geography; Demography; Fertility; Macroeconomics; Economic growth; Sociology","score_opus":0.027957117310303384,"score_gpt":0.21326611163256592,"score_spread":0.18530899432226255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1582672104","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07111288,0.32271358,0.013908223,0.37813666,0.013400308,0.00003168266,0.0007175149,0.00009857789,0.19988051],"genre_scores_gemma":[0.67449147,0.19492978,0.0035758957,0.06156853,0.025827728,0.00008034869,0.00046916504,0.00014718427,0.038909916],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99891734,0.000288389,0.000050798306,0.00026119777,0.000333779,0.00014851452],"domain_scores_gemma":[0.99664116,0.0021961113,0.00026279135,0.0001711755,0.00056179584,0.00016690373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042049363,0.0004214216,0.0007128175,0.001904062,0.0012109845,0.0029066298,0.001181184,0.0025010805,0.008757078],"category_scores_gemma":[0.008192465,0.00017132584,0.00070709124,0.0017292573,0.004485051,0.007801267,0.0029564197,0.0067046573,0.0007670106],"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":[0.00002958008,0.000022658087,0.001152753,0.00010467346,0.0000147991195,0.0001188513,0.0007710159,0.0004986434,0.000060234695,0.9212628,0.013768098,0.062195923],"study_design_scores_gemma":[0.000018203424,0.000048973416,0.0049757753,0.000963324,0.000023478438,0.0003629304,0.0014872989,0.000838919,0.00021648945,0.5303255,0.4607051,0.000033941116],"about_ca_topic_score_codex":0.004304155,"about_ca_topic_score_gemma":0.002398914,"teacher_disagreement_score":0.008757078,"about_ca_system_score_codex":0.0030634035,"about_ca_system_score_gemma":0.0014534835,"threshold_uncertainty_score":0.029295385},"labels":[],"label_agreement":null},{"id":"W1582771641","doi":"10.7202/800730ar","title":"Impact des incitations à l’investissement du gouvernement fédéral canadien dans le secteur manufacturier, de 1965 à 1974","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","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":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Incentive; Investment (military); Monetary economics; Labour economics; Microeconomics; Political science","score_opus":0.027911514770458425,"score_gpt":0.22019295361299418,"score_spread":0.19228143884253576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1582771641","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":[0.9774228,0.0018936171,0.00023093983,0.0025399046,0.000043232787,0.000014026343,0.0015030272,0.000034134257,0.016318342],"genre_scores_gemma":[0.9844939,0.0012056506,0.00018293559,0.00012945887,0.000030268962,0.0000048832435,0.0006078455,0.000005211757,0.013339866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989483,0.0001072271,0.00002309062,0.00006532906,0.00040629186,0.00044976574],"domain_scores_gemma":[0.99748635,0.0005144537,0.0005374739,0.000057044435,0.00078616553,0.0006185325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009975657,0.00030293327,0.00019955513,0.0009910379,0.0011628362,0.0015455635,0.00046562366,0.00052654056,0.003014243],"category_scores_gemma":[0.0056140595,0.00018488732,0.00024229426,0.0011405764,0.00094496884,0.00029989096,0.0005317458,0.0007186144,0.00028045848],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019776542,0.00046215914,0.79257804,0.00025472735,0.00022823445,0.00089135166,0.0023914832,0.027757693,0.004217752,0.030201739,0.01225021,0.12678894],"study_design_scores_gemma":[0.000034897897,0.00012914816,0.96225435,0.000053203446,0.000058429658,0.00008503565,0.0008038279,0.0025760112,0.0015418378,0.00039946183,0.032042757,0.000021061032],"about_ca_topic_score_codex":0.95950335,"about_ca_topic_score_gemma":0.9691421,"teacher_disagreement_score":0.96136475,"about_ca_system_score_codex":0.03863523,"about_ca_system_score_gemma":0.02717575,"threshold_uncertainty_score":0.2803195},"labels":[],"label_agreement":null},{"id":"W1583083608","doi":"","title":"Regional Integration and Technology Diffusion: The Case of NAFTA","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Convergence (economics); International trade; International economics; Economics; Manufacturing sector; Diffusion; Business; Total factor productivity; Economic geography; Productivity; Economic growth","score_opus":0.018142274503489236,"score_gpt":0.1964104361802884,"score_spread":0.17826816167679915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1583083608","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":[0.87947494,0.011140746,0.0015895384,0.008901941,0.000042251537,0.000028593593,0.00017879742,0.00003252332,0.09861059],"genre_scores_gemma":[0.9940451,0.0028743148,0.0003611864,0.00014182224,0.000032067805,0.000008681362,0.00004250859,0.0000053028743,0.0024889663],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992849,0.00020858964,0.000024334384,0.000101773905,0.000106615116,0.00027383707],"domain_scores_gemma":[0.9981659,0.00059775164,0.0006882051,0.00008186722,0.0003051135,0.00016119375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017582205,0.00026072108,0.00064565294,0.0023787324,0.0024163313,0.004766033,0.00049490813,0.0017774927,0.0048525473],"category_scores_gemma":[0.005735381,0.00017801193,0.0006040029,0.003714077,0.0029313078,0.0041214684,0.0025779428,0.0013852491,0.00027181543],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060753385,0.00020980174,0.105366014,0.0004051,0.00035926324,0.007331644,0.027828654,0.015575936,0.0029513254,0.7452473,0.0063163317,0.08780107],"study_design_scores_gemma":[0.0005213389,0.00047133982,0.40465814,0.0014270403,0.0012259108,0.005464163,0.08781516,0.022177637,0.0032952162,0.21500829,0.25762063,0.0003151459],"about_ca_topic_score_codex":0.124345176,"about_ca_topic_score_gemma":0.10191158,"teacher_disagreement_score":0.8756548,"about_ca_system_score_codex":0.0047775977,"about_ca_system_score_gemma":0.001607648,"threshold_uncertainty_score":0.24724281},"labels":[],"label_agreement":null},{"id":"W1584061871","doi":"10.22904/sje.2007.20.1.004","title":"Productivity Measures and Sustainable Prosperity","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of British Columbia","funders":"","keywords":"Prosperity; Depreciation (economics); Gross domestic product; Productivity; Economics; Sustainable development; Product (mathematics); Natural resource; Government (linguistics); Measures of national income and output; National accounts; Business; Public economics; Macroeconomics; Economic growth","score_opus":0.009019994343003686,"score_gpt":0.1812114477714238,"score_spread":0.17219145342842013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1584061871","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":[0.23844029,0.023954576,0.093829274,0.066609725,0.0011563725,0.00015419313,0.0044560945,0.00037682007,0.5710226],"genre_scores_gemma":[0.972693,0.006918114,0.00678916,0.0006330562,0.00034468318,0.00006673505,0.00073268614,0.000035936988,0.011786523],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99898285,0.00035015022,0.00008329827,0.00016127952,0.0002644289,0.00015811516],"domain_scores_gemma":[0.99575824,0.0014340543,0.0014318371,0.0003661338,0.0007584653,0.00025124097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021839973,0.00045022328,0.00025445098,0.0031272543,0.0005796147,0.0024734254,0.00040498306,0.00048873405,0.009669943],"category_scores_gemma":[0.010669762,0.00013669897,0.0004003284,0.0055318926,0.0025938535,0.004895384,0.001579485,0.0012449156,0.0005980817],"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":[0.000019704903,0.00002331012,0.019490803,0.0001313543,0.000041534615,0.000069682676,0.00042461575,0.0046300474,0.00010245944,0.9106035,0.0085053,0.05595765],"study_design_scores_gemma":[0.000010898246,0.00005414504,0.035705224,0.00024289763,0.000018260684,0.00007476955,0.001326849,0.0046821665,0.00036129064,0.8901319,0.06735497,0.00003667115],"about_ca_topic_score_codex":0.003806298,"about_ca_topic_score_gemma":0.0029072494,"teacher_disagreement_score":0.009669943,"about_ca_system_score_codex":0.0018655272,"about_ca_system_score_gemma":0.0011867615,"threshold_uncertainty_score":0.03234911},"labels":[],"label_agreement":null},{"id":"W1584256467","doi":"10.2139/ssrn.1509494","title":"Relative Multifactor Productivity Levels in Canada and the United States: A Sectoral Analysis","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Canada; Statistics Canada","funders":"","keywords":"Productivity; Multifactor productivity; Economics; Sectoral analysis; Regional science; Agricultural economics; Business; Geography; Economic growth; Total factor productivity; Macroeconomics","score_opus":0.02440675387443654,"score_gpt":0.19714693601882843,"score_spread":0.1727401821443919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1584256467","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":[0.99391717,0.0005323897,0.00014769741,0.00013320732,0.000004591344,0.000007848307,0.0030324236,0.000021476213,0.0022031728],"genre_scores_gemma":[0.99725926,0.00024015487,0.00013548048,0.000019080655,0.0000030405154,0.0000027585852,0.0014871472,0.0000047533704,0.0008482835],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941134,0.000062148894,0.000025556403,0.00007551415,0.00020155225,0.00022378437],"domain_scores_gemma":[0.99631655,0.00069190224,0.0004509313,0.00010762705,0.0017678447,0.00066498475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008588805,0.00022973506,0.00037925242,0.0034584568,0.0010296303,0.0017841248,0.0007616677,0.00038754166,0.0022414727],"category_scores_gemma":[0.0031282979,0.00017656406,0.0005127425,0.008977539,0.00056669686,0.0005553365,0.00075493177,0.0004445721,0.00023983362],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033507333,0.0000482062,0.9759538,0.000032273343,0.0001312916,0.00016180823,0.00072681985,0.0040095076,0.0006545869,0.0027536415,0.0018804645,0.013312597],"study_design_scores_gemma":[0.000005343055,0.000015937061,0.9952282,0.000009430284,0.000033300497,0.00002740455,0.0010632052,0.002360713,0.0001891282,0.00020189735,0.00085518725,0.000010254238],"about_ca_topic_score_codex":0.97230136,"about_ca_topic_score_gemma":0.9749503,"teacher_disagreement_score":0.9809864,"about_ca_system_score_codex":0.019013563,"about_ca_system_score_gemma":0.01291655,"threshold_uncertainty_score":0.1379537},"labels":[],"label_agreement":null},{"id":"W1584749180","doi":"","title":"Assessing Aggregate Labour Productivity Trends in Canada and the United States: Total Economy versus Business Sector Perspectives","year":2004,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Productivity; Business sector; Labour economics; Multifactor productivity; Total factor productivity; Aggregate (composite); Macroeconomics; Economy","score_opus":0.03639834855411327,"score_gpt":0.26744641170641686,"score_spread":0.23104806315230358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1584749180","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":[0.86764926,0.015284742,0.00396088,0.0068431403,0.0002350382,0.00014784311,0.030525139,0.00018239518,0.07517162],"genre_scores_gemma":[0.97155666,0.009765336,0.0031530063,0.000587995,0.00009221946,0.000053535452,0.009662319,0.000045135617,0.005083686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974445,0.00022609459,0.00013916325,0.0001437039,0.0014632853,0.0005833801],"domain_scores_gemma":[0.9867361,0.0010952635,0.0005852995,0.00022257461,0.010467924,0.00089274795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032643822,0.00054968084,0.0009816604,0.012375344,0.0021584826,0.0041990024,0.0011581926,0.0004327942,0.0018605961],"category_scores_gemma":[0.0106132645,0.00023996581,0.0005722784,0.03816305,0.0011826424,0.0017417836,0.001858909,0.0010047187,0.00022725257],"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":[0.000483555,0.00008288484,0.82174695,0.0004542174,0.0006290534,0.0001848978,0.0033151486,0.00815663,0.0007558733,0.013710861,0.015616893,0.13486305],"study_design_scores_gemma":[0.000011146334,0.000050276056,0.9771892,0.00015071996,0.00014585005,0.000050500756,0.0052620964,0.002943156,0.00063378486,0.0021544155,0.011370173,0.000038832135],"about_ca_topic_score_codex":0.98965514,"about_ca_topic_score_gemma":0.9945857,"teacher_disagreement_score":0.02280438,"about_ca_system_score_codex":0.02280438,"about_ca_system_score_gemma":0.029959215,"threshold_uncertainty_score":0.16545814},"labels":[],"label_agreement":null},{"id":"W1584837720","doi":"","title":"The Effect of Organizational Innovation and Information and Communications Technology on Firm Performance","year":2004,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada; Innovation, Science and Economic Development Canada","funders":"","keywords":"Business; Knowledge management; Information technology; Industrial organization; Process management; Computer science","score_opus":0.016546280833007965,"score_gpt":0.24972411012363405,"score_spread":0.23317782929062608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1584837720","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":[0.95887744,0.0052209427,0.0006470092,0.0034058152,0.000107700536,0.00003033913,0.00031203526,0.000041509982,0.031357143],"genre_scores_gemma":[0.9973816,0.0007736214,0.0001059795,0.00013772398,0.0001320658,0.000009030982,0.00012427762,0.000007616311,0.001327998],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99036473,0.0047737183,0.0003800766,0.0006542424,0.0019230244,0.0019042791],"domain_scores_gemma":[0.87580234,0.0849264,0.018833416,0.0024673587,0.0055753374,0.012395211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006510127,0.0004505966,0.00040261587,0.0022447233,0.00075852475,0.003828921,0.00065491314,0.0020352616,0.0057513313],"category_scores_gemma":[0.03749159,0.00018102449,0.0009948967,0.002926248,0.0022085789,0.0020425275,0.0019365803,0.002143839,0.0012740927],"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":[0.000659611,0.0013901959,0.9319256,0.00014263415,0.00085701206,0.00026279484,0.0004839085,0.0063246763,0.00040254646,0.0052537997,0.002374003,0.049923245],"study_design_scores_gemma":[0.000034296176,0.00058826455,0.9913987,0.00006853653,0.00017230018,0.0000804932,0.00058384874,0.0021869317,0.00031535406,0.0025867047,0.0019528164,0.00003181775],"about_ca_topic_score_codex":0.011213362,"about_ca_topic_score_gemma":0.011268911,"teacher_disagreement_score":0.011213362,"about_ca_system_score_codex":0.002302844,"about_ca_system_score_gemma":0.0024564117,"threshold_uncertainty_score":0.034429252},"labels":[],"label_agreement":null},{"id":"W1585472963","doi":"10.3917/dbu.croix.2002.01.0413","title":"Capital humain et dualisme sur le marché du travail","year":2002,"lang":"fr","type":"book-chapter","venue":"De Boeck Supérieur eBooks","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University; University of Ottawa","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.04151563053494231,"score_gpt":0.20024356381771968,"score_spread":0.15872793328277737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1585472963","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":[0.6404059,0.008193406,0.016197918,0.012422502,0.00008283767,0.000038545553,0.00047909343,0.000095769254,0.322084],"genre_scores_gemma":[0.98132044,0.0010558537,0.0010387067,0.00007531997,0.000021590302,0.00000727116,0.00005031158,0.000016286043,0.016414128],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994729,0.00009676142,0.000013480084,0.000084921114,0.00014926324,0.00018261709],"domain_scores_gemma":[0.9984074,0.00045410937,0.00036304674,0.00010753873,0.0003310096,0.00033692725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009923928,0.00022088419,0.00037722648,0.001587284,0.0019976737,0.0056056464,0.0006905402,0.0007187411,0.012163957],"category_scores_gemma":[0.0044647288,0.00022197908,0.00033318409,0.002097607,0.0051564644,0.0018407721,0.0019027113,0.0011692161,0.0006141005],"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":[0.00013932856,0.000030223839,0.025830109,0.00006571299,0.00003145483,0.00021297732,0.0057896436,0.00831414,0.00034684598,0.9233928,0.0038288985,0.032017794],"study_design_scores_gemma":[0.00006644116,0.00006491393,0.09623591,0.00043275155,0.000080299564,0.000341945,0.013518938,0.026661,0.0007116111,0.69426984,0.16754201,0.00007444137],"about_ca_topic_score_codex":0.35182709,"about_ca_topic_score_gemma":0.30508125,"teacher_disagreement_score":0.35182709,"about_ca_system_score_codex":0.015851429,"about_ca_system_score_gemma":0.007912093,"threshold_uncertainty_score":0.69955844},"labels":[],"label_agreement":null},{"id":"W1585624359","doi":"","title":"An International Comparison of National Clusters","year":2001,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Cluster (spacecraft); Economic geography; Productivity; Profitability index; Identification (biology); Work (physics); Geography; Business; Economics; Economic growth; Computer science; Engineering; Biology","score_opus":0.04751892490711379,"score_gpt":0.2758417743166484,"score_spread":0.22832284940953462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1585624359","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":[0.7598474,0.0022852556,0.004763747,0.00047620118,0.00015065953,0.00021367507,0.009982425,0.00015607,0.22212453],"genre_scores_gemma":[0.9764781,0.0009807724,0.004338611,0.00003875905,0.000016278962,0.000121022,0.009249067,0.00006562731,0.008711827],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987244,0.00028208122,0.00012462522,0.00024376849,0.00033950162,0.00028550185],"domain_scores_gemma":[0.9953192,0.00067850103,0.0005557689,0.00056152116,0.0025470278,0.00033806133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019583856,0.0001843042,0.00033256275,0.004917053,0.0009405862,0.0018802616,0.00028147962,0.0001829232,0.007720185],"category_scores_gemma":[0.005569964,0.00010348479,0.00044321595,0.008617246,0.0005597499,0.0010932873,0.0015710089,0.0002933871,0.00072583737],"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":[0.00181445,0.00021436262,0.3895561,0.0016323262,0.00077071367,0.0007290981,0.022191353,0.01007774,0.005246999,0.13291135,0.03231003,0.4025455],"study_design_scores_gemma":[0.000019165314,0.00011726738,0.8941404,0.00028522365,0.0001624269,0.00028364843,0.015282414,0.0022603287,0.0017589756,0.0044665844,0.081183776,0.00003980268],"about_ca_topic_score_codex":0.025689261,"about_ca_topic_score_gemma":0.028691435,"teacher_disagreement_score":0.025689261,"about_ca_system_score_codex":0.0027800894,"about_ca_system_score_gemma":0.0021433246,"threshold_uncertainty_score":0.05107951},"labels":[],"label_agreement":null},{"id":"W1586250452","doi":"","title":"Concurrence industrielle, evolution des parts de marche et croissance de la productivite","year":2004,"lang":"fr","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.04781107640330149,"score_gpt":0.2565379505633028,"score_spread":0.20872687416000132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1586250452","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":[0.7880334,0.0021408028,0.19201845,0.00057865324,0.00008604584,0.00018541412,0.0012276602,0.00056219136,0.015167326],"genre_scores_gemma":[0.9229013,0.0006938863,0.067899905,0.00007225808,0.0000363508,0.00019900264,0.00042516657,0.00013882028,0.007633437],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977435,0.0005500609,0.00011473894,0.0006207486,0.0008300176,0.0001409672],"domain_scores_gemma":[0.9786093,0.016345156,0.0022491787,0.0012138773,0.0013159015,0.00026646955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004640403,0.00049030513,0.00094556995,0.0025148164,0.0005349518,0.0031526603,0.0007937287,0.0008741765,0.004916269],"category_scores_gemma":[0.022315642,0.00047642298,0.0010862796,0.003289732,0.0013497376,0.0014294419,0.0007975188,0.0011138539,0.00062412967],"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":[0.0010428834,0.0002089701,0.42201558,0.00064254995,0.00063018984,0.00037096994,0.0024264955,0.09642145,0.024515672,0.039311487,0.0010466452,0.41136715],"study_design_scores_gemma":[0.00009722863,0.00042815576,0.7522059,0.000118711134,0.00033764774,0.00050984934,0.0011820018,0.16242394,0.032291785,0.031425003,0.01878484,0.00019483251],"about_ca_topic_score_codex":0.03915886,"about_ca_topic_score_gemma":0.05143155,"teacher_disagreement_score":0.03915886,"about_ca_system_score_codex":0.002414199,"about_ca_system_score_gemma":0.0014144792,"threshold_uncertainty_score":0.077861845},"labels":[],"label_agreement":null},{"id":"W1586349882","doi":"","title":"The New Economy and Trend Productivity Growth in Canada","year":2000,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Productivity; Boom; Economics; Balance (ability); Slow growth; Economic geography; Economy; Agricultural economics; Economic growth; Macroeconomics; Engineering; Biology","score_opus":0.021563962716580735,"score_gpt":0.2288142076570743,"score_spread":0.20725024494049357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1586349882","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":[0.34791324,0.031949762,0.0023747582,0.10713942,0.0015756695,0.0001226378,0.014156413,0.0005214316,0.4942467],"genre_scores_gemma":[0.9012385,0.024855616,0.0012134191,0.003481622,0.00031363268,0.00003122778,0.0033008067,0.000119441815,0.06544574],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.996831,0.00008200262,0.000069431895,0.00015733132,0.0016054828,0.0012547501],"domain_scores_gemma":[0.99410987,0.00027362313,0.00040129691,0.00011004284,0.0040508974,0.0010543234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011804231,0.00029321652,0.0004220327,0.0045616925,0.00496771,0.0055352384,0.0010229528,0.000766841,0.007211352],"category_scores_gemma":[0.0062973574,0.00019820915,0.0005244381,0.012154822,0.0016892852,0.0015654452,0.0019231974,0.0020311754,0.00067467545],"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":[0.00042763117,0.000118691816,0.18778461,0.00061960163,0.00012980029,0.0021840336,0.009371999,0.008308349,0.0008620779,0.33498102,0.23996878,0.21524341],"study_design_scores_gemma":[0.000052983425,0.000045549594,0.37150946,0.00043976045,0.00007656319,0.00044258882,0.010311531,0.006867906,0.0008698841,0.015214065,0.59402215,0.0001476073],"about_ca_topic_score_codex":0.9964964,"about_ca_topic_score_gemma":0.99676347,"teacher_disagreement_score":0.13681975,"about_ca_system_score_codex":0.13681975,"about_ca_system_score_gemma":0.1564899,"threshold_uncertainty_score":0.9927014},"labels":[],"label_agreement":null},{"id":"W1586982087","doi":"10.2139/ssrn.1507842","title":"Productivity Performance in Canada, 1961 to 2005","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; Agricultural economics; Economics; Environmental science; Economic growth","score_opus":0.010171725345172187,"score_gpt":0.18476460780870557,"score_spread":0.17459288246353338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1586982087","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":[0.762334,0.013913292,0.00046326048,0.0059819096,0.0005854062,0.000087313274,0.19344872,0.00034204847,0.022844099],"genre_scores_gemma":[0.91283584,0.0050486773,0.00039460027,0.00061234174,0.00013436459,0.00003757179,0.04351431,0.00005526141,0.037366923],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99825186,0.000040812884,0.00012693906,0.00022375913,0.00057231553,0.0007842585],"domain_scores_gemma":[0.9938751,0.0001355147,0.0008264314,0.00007630004,0.0037945553,0.0012921022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000893329,0.00085172907,0.00084110734,0.004379142,0.0025447046,0.0025606724,0.0015957564,0.0011300289,0.0037114627],"category_scores_gemma":[0.0037794616,0.00036489172,0.0010026667,0.012192691,0.00083042914,0.0008624828,0.0013284133,0.0012317132,0.001182985],"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":[0.0010391668,0.00018575315,0.8672532,0.0005793037,0.00053661154,0.00041862074,0.0013348652,0.003412591,0.00036076765,0.0025350938,0.07100865,0.051335298],"study_design_scores_gemma":[0.00002418432,0.000048577014,0.9702974,0.00010174253,0.000065817214,0.000080820166,0.0006409732,0.00067304395,0.0002697101,0.000055650657,0.027714742,0.000027385879],"about_ca_topic_score_codex":0.9966275,"about_ca_topic_score_gemma":0.99797183,"teacher_disagreement_score":0.066788726,"about_ca_system_score_codex":0.066788726,"about_ca_system_score_gemma":0.08108133,"threshold_uncertainty_score":0.48458838},"labels":[],"label_agreement":null},{"id":"W1587147067","doi":"","title":"College pays dividends - more so in Texas than U.S","year":2009,"lang":"en","type":"article","venue":"Southwest Economy","topic":"Economic Growth and Productivity","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":"Earnings; Quarter (Canadian coin); Margin (machine learning); Economics; Dividend; State (computer science); Supply and demand; Labour economics; Demographic economics; Development economics; Macroeconomics; Finance; Geography","score_opus":0.021273568743549867,"score_gpt":0.21221414995015755,"score_spread":0.19094058120660767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1587147067","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":[0.7238315,0.0009936047,0.0006877551,0.044640668,0.00057707354,0.000023519227,0.0016878783,0.0001267788,0.22743121],"genre_scores_gemma":[0.93932647,0.00041131116,0.0001689854,0.004388041,0.00023317781,0.000009711305,0.0005248443,0.000020849891,0.054916676],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965286,0.000030451303,0.000010976915,0.0000646358,0.00009101906,0.0001500771],"domain_scores_gemma":[0.9983589,0.00018155396,0.00038579808,0.000083150946,0.0003059876,0.0006845367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037338212,0.000103224695,0.00012979706,0.00047199344,0.0020221015,0.0028223216,0.00020062676,0.00042012584,0.028835364],"category_scores_gemma":[0.0016411765,0.0000802882,0.00010102092,0.0009007307,0.0006645312,0.001001107,0.00083004707,0.00096292875,0.0018771716],"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":[0.00031020475,0.00035267486,0.4606212,0.00006492683,0.000046757417,0.00084051146,0.0053388975,0.0006192344,0.0019531233,0.12401153,0.2714769,0.13436408],"study_design_scores_gemma":[0.00007195634,0.00014431737,0.5066017,0.00010203452,0.000038762853,0.00039015536,0.014439005,0.00070894253,0.0015610047,0.011510862,0.4643893,0.00004194767],"about_ca_topic_score_codex":0.060586333,"about_ca_topic_score_gemma":0.11514247,"teacher_disagreement_score":0.060586333,"about_ca_system_score_codex":0.0028059152,"about_ca_system_score_gemma":0.0026050962,"threshold_uncertainty_score":0.120467365},"labels":[],"label_agreement":null},{"id":"W1588230903","doi":"10.1111/j.1540-5982.2008.01509.x","title":"Product cycles, endogenous skill acquisition, and wage inequality","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wage inequality; Economics; Labour economics; Wage; Imitation; Production (economics); Product (mathematics); Differential (mechanical device); Labour supply; Inequality; Developing country; Microeconomics; Economic growth","score_opus":0.14192651724329444,"score_gpt":0.18159771584152123,"score_spread":0.03967119859822679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1588230903","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":[0.8610256,0.0014135892,0.07578645,0.0026455894,0.000046269644,0.00006050322,0.0004566746,0.00008483267,0.058480542],"genre_scores_gemma":[0.9942579,0.00036867175,0.0010687162,0.00005342901,0.000015600357,0.00001823477,0.000059208807,0.0000049528567,0.0041532237],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99979836,0.00008004352,0.000006267335,0.000036445945,0.000026235062,0.000052582254],"domain_scores_gemma":[0.9986399,0.0007743765,0.00029270473,0.00010155885,0.00007997769,0.00011142713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005294497,0.00024019701,0.0004370133,0.0005610984,0.00036746642,0.0012103025,0.00046977605,0.00067307404,0.007550274],"category_scores_gemma":[0.0030077612,0.00016329957,0.0003240374,0.0006761199,0.0012660121,0.0010782671,0.0006942324,0.00055727584,0.00025787877],"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":[0.00011180532,0.0001163966,0.016089113,0.00006513647,0.000050369334,0.00039317846,0.00031722826,0.21519016,0.00052664755,0.7426132,0.0023425638,0.022184178],"study_design_scores_gemma":[0.000059780556,0.00005918983,0.009583364,0.000042506534,0.000020812746,0.00013246323,0.00018126777,0.34854618,0.00018343142,0.63706154,0.004111789,0.000017639983],"about_ca_topic_score_codex":0.007964232,"about_ca_topic_score_gemma":0.004049004,"teacher_disagreement_score":0.007964232,"about_ca_system_score_codex":0.0012061691,"about_ca_system_score_gemma":0.00054593524,"threshold_uncertainty_score":0.025258183},"labels":[],"label_agreement":null},{"id":"W1588257358","doi":"10.2139/ssrn.2193068","title":"Technological Innovation, Resource Allocation, and Growth","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":767,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Creative destruction; Economics; Valuation (finance); Proxy (statistics); Measure (data warehouse); Stock (firearms); Econometrics; Total factor productivity; Technological change; Value (mathematics); Industrial organization; Productivity; Microeconomics; Macroeconomics; Accounting; Mathematics; Statistics; Neoclassical economics","score_opus":0.017458571026569464,"score_gpt":0.20244675687012167,"score_spread":0.1849881858435522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1588257358","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":[0.798396,0.018302402,0.0208764,0.014616642,0.00019816024,0.00007698503,0.0005890807,0.00011439612,0.14682998],"genre_scores_gemma":[0.98936486,0.0032886753,0.0011374091,0.0002124962,0.00010557616,0.000021222451,0.0000623077,0.00001074998,0.0057967277],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993948,0.0002714828,0.000033486413,0.000079519494,0.000056819994,0.00016390796],"domain_scores_gemma":[0.9928392,0.0050730617,0.0010919141,0.00023862303,0.00026034683,0.00049673824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019586931,0.00034558546,0.00044659304,0.00083408586,0.00045794432,0.0033057798,0.00032840387,0.0014271642,0.012660496],"category_scores_gemma":[0.010256334,0.00016772599,0.0003176414,0.0019726248,0.0015729241,0.0026553078,0.001061171,0.0011362615,0.0007095957],"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":[0.0011605696,0.0007354179,0.115617074,0.0005494956,0.0002880027,0.0007751783,0.0007775643,0.07784838,0.0018595296,0.6514147,0.009241804,0.13973236],"study_design_scores_gemma":[0.00011914583,0.00019588566,0.073247336,0.0001468783,0.00014792346,0.00033853334,0.0015929501,0.030860072,0.00079967274,0.88065547,0.011848507,0.000047503076],"about_ca_topic_score_codex":0.003401809,"about_ca_topic_score_gemma":0.0037747265,"teacher_disagreement_score":0.012660496,"about_ca_system_score_codex":0.001682643,"about_ca_system_score_gemma":0.0014339506,"threshold_uncertainty_score":0.04235363},"labels":[],"label_agreement":null},{"id":"W1589096524","doi":"","title":"Was Canadian Manufacturing Inefficient before WWI? The Case of the Cotton Textile Industry, 1870-1910","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Textile industry; Textile; Productivity; Manufacturing; Agricultural economics; Economics; Total factor productivity; Business; Commerce; Economy; Marketing; Economic growth; Geography; Political science; Law","score_opus":0.04725821766137355,"score_gpt":0.26288140055524245,"score_spread":0.2156231828938689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1589096524","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":[0.67031044,0.01043526,0.0006048272,0.050982222,0.00014266321,0.000029119046,0.002604329,0.000030486772,0.26486063],"genre_scores_gemma":[0.9800427,0.0040263333,0.00023019439,0.0015698972,0.00007609945,0.00000509926,0.00047689927,0.000015950398,0.013556805],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9980483,0.00009702582,0.000033855344,0.00018632464,0.0005476342,0.0010868304],"domain_scores_gemma":[0.997279,0.00034732214,0.00031872772,0.00013774593,0.0015867036,0.00033052196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018931618,0.00036487362,0.00045552102,0.0030768453,0.011686966,0.004979464,0.00083690335,0.0015678619,0.0034527935],"category_scores_gemma":[0.005330734,0.00026049223,0.00043474924,0.007574101,0.0066171605,0.0017007678,0.0010924225,0.0018555236,0.0002892232],"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":[0.00042853446,0.000046019493,0.1698642,0.00030073614,0.00021309599,0.004733974,0.0264003,0.0054507353,0.001025494,0.6537996,0.05715755,0.08057994],"study_design_scores_gemma":[0.000047781825,0.00004082532,0.7172692,0.00043708572,0.0002372284,0.0006045673,0.03213337,0.0017293686,0.0012920431,0.027248453,0.21874242,0.0002177065],"about_ca_topic_score_codex":0.99392784,"about_ca_topic_score_gemma":0.99495244,"teacher_disagreement_score":0.11158799,"about_ca_system_score_codex":0.11158799,"about_ca_system_score_gemma":0.05456472,"threshold_uncertainty_score":0.8096313},"labels":[],"label_agreement":null},{"id":"W1589757453","doi":"","title":"La productivite multifactorielle au Canada: une evaluation de diverses methodes d'estimation des services de capital","year":2007,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Humanities; Economics; Political science; Philosophy","score_opus":0.059185213822791384,"score_gpt":0.31899428146958264,"score_spread":0.25980906764679124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1589757453","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":[0.3306363,0.005533189,0.6503495,0.0011318042,0.000113138056,0.00036821156,0.0045654206,0.0014223609,0.005880045],"genre_scores_gemma":[0.58109194,0.002850063,0.40784284,0.00011627584,0.000039267976,0.00022624977,0.0018352353,0.00024188435,0.0057562613],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99579984,0.002065286,0.0001749,0.00053487706,0.0012025511,0.00022261766],"domain_scores_gemma":[0.984923,0.0097481655,0.0008986852,0.0010190209,0.0031232096,0.00028795426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007957872,0.0012848808,0.0010263328,0.0034967493,0.00094920764,0.002188515,0.0016589968,0.00068807375,0.002632092],"category_scores_gemma":[0.03380682,0.0004017383,0.0015524471,0.006107583,0.0008878646,0.0011682599,0.0012308242,0.0013313486,0.00037663773],"study_design_candidate":"simulation_or_modeling","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":[0.0007237559,0.00010254738,0.18576507,0.0008075663,0.0015532934,0.00013276313,0.0016216342,0.17649232,0.0030107764,0.028997459,0.003184218,0.5976086],"study_design_scores_gemma":[0.00018870928,0.00033721645,0.2291713,0.00053986954,0.00069594255,0.00023630339,0.0012254658,0.70752436,0.009247035,0.025840087,0.024745816,0.00024795812],"about_ca_topic_score_codex":0.81894135,"about_ca_topic_score_gemma":0.7340748,"teacher_disagreement_score":0.18105865,"about_ca_system_score_codex":0.0074639777,"about_ca_system_score_gemma":0.012585487,"threshold_uncertainty_score":0.36424983},"labels":[],"label_agreement":null},{"id":"W1589923054","doi":"","title":"The Boskin Commission Report: Introduction to the Symposium and Implications for Productivity","year":2006,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Point (geometry); Econometrics; Percentage point; Macroeconomics; Mathematics","score_opus":0.018125220527981885,"score_gpt":0.24567466268588486,"score_spread":0.227549442157903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1589923054","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00091549475,0.056543723,0.0014050128,0.47088912,0.33775926,0.00015461179,0.0019514074,0.00023412169,0.13014728],"genre_scores_gemma":[0.014144146,0.05707862,0.0023122882,0.09308268,0.11562371,0.0004311882,0.0023470435,0.0005503843,0.71443],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99556124,0.0006429496,0.0002700072,0.00044470074,0.0023179632,0.0007631455],"domain_scores_gemma":[0.99230945,0.0010639647,0.00033968725,0.00031134792,0.0048039523,0.0011715505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065885517,0.0013747816,0.00071841304,0.0032580874,0.005375446,0.0111335255,0.002503655,0.0115981875,0.043291125],"category_scores_gemma":[0.015868966,0.00063190045,0.00126842,0.0045404057,0.0017082236,0.0066526458,0.0025995,0.01062202,0.030787777],"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":[0.000009262305,0.000010330552,0.00006203742,0.000040879364,0.0000013777064,0.00001826245,0.000031760825,0.000023639586,0.000031137755,0.0037708823,0.98982877,0.006171682],"study_design_scores_gemma":[0.0000026352916,0.000005133612,0.00050311355,0.00013592772,0.000002635304,0.000014934772,0.00013250436,0.000015541602,0.000063536034,0.0014271762,0.99768806,0.000008835025],"about_ca_topic_score_codex":0.034054343,"about_ca_topic_score_gemma":0.036221094,"teacher_disagreement_score":0.043291125,"about_ca_system_score_codex":0.011086361,"about_ca_system_score_gemma":0.015336439,"threshold_uncertainty_score":0.14482325},"labels":[],"label_agreement":null},{"id":"W1589972047","doi":"10.3968/4894","title":"Measuring the Regional Capital Services of R&D in China: 1998-2012","year":2014,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capitalization; Capital (architecture); China; Capital formation; Economics; Estimation; Fixed capital; Financial capital; Business; Accounting; Macroeconomics; Econometrics; Monetary economics; Economic system; Market economy; Geography; Human capital; Management","score_opus":0.02905034412557775,"score_gpt":0.23556666568671197,"score_spread":0.20651632156113423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1589972047","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":[0.9646085,0.0029829384,0.002212917,0.00058065215,0.000029905947,0.000050459188,0.014576456,0.000197874,0.014760281],"genre_scores_gemma":[0.98432606,0.0013930148,0.0013203163,0.00004307413,0.000040219787,0.0000380451,0.009081692,0.000015114342,0.00374234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892175,0.00010053074,0.00013465414,0.0001846925,0.0004837954,0.00017454613],"domain_scores_gemma":[0.9974734,0.00018631681,0.0009620554,0.00014333072,0.001002632,0.00023217441],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0009995179,0.00055149425,0.00032358916,0.004185963,0.00027679605,0.000914669,0.0005652205,0.00021718237,0.0012159258],"category_scores_gemma":[0.0034712828,0.00016602485,0.00047086278,0.0064903633,0.0003433036,0.00083929393,0.0008108222,0.00027652015,0.000453792],"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":[0.00013978199,0.000044654258,0.87273204,0.00041712372,0.00016849175,0.00037982772,0.0008165691,0.009350131,0.0018298008,0.0049862796,0.010422939,0.09871236],"study_design_scores_gemma":[0.000005484564,0.00003155486,0.9809316,0.000023047183,0.000062600964,0.00011006821,0.00020898673,0.003405991,0.0014631909,0.00019568446,0.01354619,0.000015629492],"about_ca_topic_score_codex":0.1065111,"about_ca_topic_score_gemma":0.09714091,"teacher_disagreement_score":0.995814,"about_ca_system_score_codex":0.004650658,"about_ca_system_score_gemma":0.0033305935,"threshold_uncertainty_score":0.21178228},"labels":[],"label_agreement":null},{"id":"W1590231177","doi":"10.2139/ssrn.1911492","title":"Shocks, Financial Dependence and Efficiency: Evidence from U.S. and Canadian Industries","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Business; Economics; Financial system; Finance","score_opus":0.03233958764857005,"score_gpt":0.19215896367984128,"score_spread":0.15981937603127122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1590231177","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":[0.98738,0.0025032244,0.00013922415,0.00071650464,0.000008137225,0.000020951436,0.0028804084,0.000008678197,0.0063429293],"genre_scores_gemma":[0.99349535,0.002375053,0.00008917327,0.00010657122,0.000010139633,0.0000042107586,0.0026098175,0.0000041886506,0.0013053259],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992747,0.000052557723,0.000045901153,0.000084643136,0.00027224404,0.00027006023],"domain_scores_gemma":[0.99206465,0.0013773879,0.0023138553,0.00033647253,0.0028770922,0.0010305326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010878884,0.0003665109,0.00037843094,0.0035763683,0.0020463062,0.0023732134,0.0007169693,0.00052618055,0.00314244],"category_scores_gemma":[0.007846967,0.0002169789,0.0003969735,0.011187749,0.001281419,0.0006439298,0.0012550241,0.0006837727,0.00028631036],"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":[0.00014130726,0.00004911392,0.9827963,0.000054087075,0.00011047998,0.000058709225,0.0009106128,0.00043160896,0.00013035661,0.0011473981,0.0022448613,0.011925121],"study_design_scores_gemma":[0.000005915636,0.000009149237,0.99738747,0.000026584908,0.000043976182,0.000011586772,0.0010093525,0.0001465107,0.00005706528,0.00012906436,0.0011653184,0.000007987583],"about_ca_topic_score_codex":0.983555,"about_ca_topic_score_gemma":0.9907864,"teacher_disagreement_score":0.016444981,"about_ca_system_score_codex":0.009708036,"about_ca_system_score_gemma":0.011591192,"threshold_uncertainty_score":0.070437014},"labels":[],"label_agreement":null},{"id":"W1590778182","doi":"10.5539/ass.v11n16p240","title":"Economic Performance and Unemployment in the Czech Republic","year":2015,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Gross domestic product; Labour economics; Population; Poverty; Standard of living; Revenue; Balance of payments; Demographic economics; Economic growth; Market economy; Macroeconomics","score_opus":0.04597493901979036,"score_gpt":0.24482879102723137,"score_spread":0.19885385200744102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1590778182","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":[0.98087835,0.0032453442,0.00009621604,0.00083696726,0.000049573846,0.000030310071,0.0009049032,0.000010052183,0.013948238],"genre_scores_gemma":[0.99835217,0.00063491194,0.0000315943,0.000037935002,0.000009187216,0.000005544816,0.00023150234,0.0000037826494,0.0006934101],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934036,0.00009115181,0.00009481489,0.00007047106,0.00016602185,0.00023708436],"domain_scores_gemma":[0.9991032,0.000054730768,0.0003167938,0.00002336108,0.00017550898,0.00032635377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068222196,0.00014792645,0.00028701904,0.0020389364,0.00146034,0.0020640965,0.00022106095,0.00028285457,0.0024101497],"category_scores_gemma":[0.0024810066,0.00012542312,0.00037155012,0.0021740939,0.0006344646,0.00048646267,0.0015861184,0.00053161127,0.0003309806],"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":[0.00038348755,0.00020332055,0.946391,0.000350648,0.00011302558,0.00069102354,0.0049431873,0.0013115217,0.0009941068,0.0066779316,0.005406319,0.03253453],"study_design_scores_gemma":[0.00000508514,0.000033668002,0.9930188,0.000120677534,0.00001397277,0.00012623075,0.0019241588,0.00016343233,0.00004808583,0.00027666547,0.0042531295,0.000016096094],"about_ca_topic_score_codex":0.04871902,"about_ca_topic_score_gemma":0.045008942,"teacher_disagreement_score":0.04871902,"about_ca_system_score_codex":0.0017848527,"about_ca_system_score_gemma":0.0019393989,"threshold_uncertainty_score":0.0968709},"labels":[],"label_agreement":null},{"id":"W1590957081","doi":"10.22004/ag.econ.93980","title":"Agricultural Production and Productivity in Canada","year":2009,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"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":"Agriculture; Productivity; Livestock; Agricultural productivity; Agricultural economics; Production (economics); Economics; Total factor productivity; National economy; Natural resource economics; Geography; Economic growth; Economic system; Macroeconomics; Forestry","score_opus":0.022265987261954227,"score_gpt":0.171626142039968,"score_spread":0.1493601547780138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1590957081","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":[0.105930604,0.031435892,0.001536842,0.022249779,0.0012776488,0.00030139892,0.35578993,0.00092257094,0.4805553],"genre_scores_gemma":[0.7213686,0.03635785,0.0029541417,0.0028662742,0.00021819264,0.00019517576,0.08092562,0.00022546861,0.1548887],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9974757,0.00006308326,0.00009321998,0.00018742251,0.0014974474,0.0006832186],"domain_scores_gemma":[0.99560875,0.0000948329,0.00016581714,0.00006122755,0.0032831468,0.0007862152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065892475,0.00050480996,0.0005056286,0.003946672,0.0050811362,0.004194109,0.0011047991,0.00037577964,0.020791303],"category_scores_gemma":[0.0037164649,0.00023579564,0.00048767694,0.014822051,0.0007346503,0.0009783836,0.0013878378,0.0012037543,0.0033391628],"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":[0.0001408937,0.000066319364,0.13981001,0.0009727666,0.00014422252,0.00038876664,0.0028677327,0.0015142488,0.00042486467,0.027636912,0.63121337,0.1948199],"study_design_scores_gemma":[0.000022079765,0.000025244035,0.473603,0.00054316584,0.000046115976,0.00012390866,0.0022973202,0.0009806134,0.00013852662,0.0013208677,0.5208183,0.000080815895],"about_ca_topic_score_codex":0.9982559,"about_ca_topic_score_gemma":0.99876994,"teacher_disagreement_score":0.08833943,"about_ca_system_score_codex":0.08833943,"about_ca_system_score_gemma":0.17813325,"threshold_uncertainty_score":0.64095044},"labels":[],"label_agreement":null},{"id":"W1591097562","doi":"10.1108/17410401111123535","title":"TFP growth, technological progress and efficiencies change","year":2011,"lang":"en","type":"article","venue":"International Journal of Productivity and Performance Management","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Total factor productivity; Allocative efficiency; Economics; Productivity; Production–possibility frontier; Technological change; Technology gap; Panel data; Openness to experience; Technical change; Manufacturing; Labour economics; Econometrics; International trade; Macroeconomics; Business; Microeconomics","score_opus":0.06488169774386546,"score_gpt":0.2206848751092223,"score_spread":0.15580317736535684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1591097562","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":[0.64967376,0.004039413,0.25746676,0.0027640713,0.00012108712,0.00041966687,0.009875633,0.000645669,0.07499405],"genre_scores_gemma":[0.9777624,0.0016634342,0.010082324,0.00006300457,0.000024431027,0.000055995864,0.0013652301,0.000033798617,0.008949339],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9986823,0.0001752023,0.000059463433,0.0002810436,0.00048121146,0.00032084892],"domain_scores_gemma":[0.99767894,0.00086094206,0.00055990886,0.0001707813,0.0006071775,0.00012230065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021323683,0.0008776133,0.0005016876,0.0021273647,0.00059229234,0.0023206815,0.0007439712,0.0005781215,0.0022245466],"category_scores_gemma":[0.0053232624,0.00026777294,0.0012954243,0.0034920753,0.0014472172,0.0011424582,0.0006736446,0.00087073486,0.0004097344],"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":[0.0000960535,0.00007117955,0.09421844,0.00032040715,0.0002476028,0.00045015189,0.00071146747,0.72464913,0.002257275,0.10023659,0.0029527384,0.07378897],"study_design_scores_gemma":[0.000035388723,0.00020295549,0.2714468,0.00021479427,0.0002939204,0.00038021398,0.0012961846,0.59339905,0.0031781069,0.08169644,0.047712788,0.00014344385],"about_ca_topic_score_codex":0.40300164,"about_ca_topic_score_gemma":0.23744409,"teacher_disagreement_score":0.40300164,"about_ca_system_score_codex":0.008663404,"about_ca_system_score_gemma":0.0072503323,"threshold_uncertainty_score":0.8013118},"labels":[],"label_agreement":null},{"id":"W1591634537","doi":"","title":"Is the recent productivity boom over","year":2010,"lang":"en","type":"article","venue":"FRB SF weekly letter","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"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":"Productivity; Economics; Recession; Boom; Slowdown; Quarter (Canadian coin); Labour economics; Capital (architecture); Monetary economics; Macroeconomics; Economic growth; Engineering","score_opus":0.029618120600984163,"score_gpt":0.20844509602506664,"score_spread":0.1788269754240825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1591634537","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":[0.087781206,0.0137552805,0.0012290409,0.82194144,0.015305606,0.0000152220855,0.0018383837,0.0001568048,0.05797699],"genre_scores_gemma":[0.8181942,0.021938974,0.00040604736,0.098884866,0.042019073,0.00002241779,0.0013084501,0.00010827934,0.017117713],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999005,0.00011637688,0.00008025897,0.00024268421,0.0002931149,0.00026253687],"domain_scores_gemma":[0.9927637,0.0015135143,0.0030087586,0.00045602163,0.0015815786,0.0006764099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021414787,0.00022633486,0.00032286163,0.0011340874,0.0010871559,0.0039756065,0.00049525546,0.00441837,0.010791122],"category_scores_gemma":[0.017907329,0.00015794147,0.0003554066,0.0017534757,0.0019155619,0.004738831,0.00093764556,0.0031374756,0.0036236183],"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":[0.0008535621,0.00013973974,0.12033569,0.0006530964,0.0001486356,0.0019153357,0.0021197265,0.00044237182,0.0018265283,0.11001323,0.50343126,0.25812078],"study_design_scores_gemma":[0.000051129802,0.00020386704,0.21291564,0.0007514809,0.000060636776,0.001599282,0.0033218313,0.0009583639,0.0007494305,0.044853177,0.7344277,0.00010746543],"about_ca_topic_score_codex":0.006755207,"about_ca_topic_score_gemma":0.0047700196,"teacher_disagreement_score":0.010791122,"about_ca_system_score_codex":0.0024570008,"about_ca_system_score_gemma":0.0011690897,"threshold_uncertainty_score":0.03609991},"labels":[],"label_agreement":null},{"id":"W1592830794","doi":"10.3386/w10065","title":"Revisiting Some Productivity Debates","year":2003,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Productivity; Natural resource economics; Environmental science; Economics; Geography; Agricultural economics; Economic growth","score_opus":0.3889809350771543,"score_gpt":0.45210700069114307,"score_spread":0.06312606561398876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1592830794","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010232222,0.116213575,0.062107332,0.717908,0.010902005,0.000030579744,0.0007589886,0.00022302798,0.081624284],"genre_scores_gemma":[0.48008162,0.21540709,0.048067037,0.13271108,0.08939031,0.0003092888,0.0010057193,0.001438954,0.031588927],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9745694,0.0112848105,0.0016916523,0.0041290065,0.0070264875,0.0012985485],"domain_scores_gemma":[0.8494122,0.120003164,0.0052848565,0.0071177185,0.01708937,0.0010926562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.040427767,0.002200511,0.0015326674,0.00999736,0.0044377325,0.015760466,0.00473283,0.0060927235,0.009763653],"category_scores_gemma":[0.14031067,0.0007126446,0.0025968058,0.011587505,0.021646615,0.02874361,0.0061213016,0.0131911775,0.0028160615],"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":[0.000045322828,0.000045066634,0.0010684952,0.00050418306,0.000044840403,0.000054759304,0.0016389547,0.0010838802,0.00007204788,0.89321953,0.037089,0.06513397],"study_design_scores_gemma":[0.000030284915,0.000042165215,0.0023313344,0.0019936063,0.00003791605,0.00015195446,0.002480649,0.0022722948,0.0004019006,0.7207902,0.26941487,0.00005289319],"about_ca_topic_score_codex":0.011271646,"about_ca_topic_score_gemma":0.0038773224,"teacher_disagreement_score":0.040427767,"about_ca_system_score_codex":0.011489754,"about_ca_system_score_gemma":0.004287868,"threshold_uncertainty_score":0.21380496},"labels":[],"label_agreement":null},{"id":"W1593077348","doi":"","title":"PIB reel et pouvoir d'achat de la production provinciale","year":2007,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Humanities; Political science; Philosophy","score_opus":0.04227197510109917,"score_gpt":0.30631962929479956,"score_spread":0.2640476541937004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1593077348","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":[0.74665713,0.013998795,0.0092808455,0.011891984,0.00025097432,0.0001513893,0.025677288,0.00038179522,0.19170971],"genre_scores_gemma":[0.92463094,0.0048857885,0.0032087318,0.0005807041,0.00004193848,0.000052921652,0.003548695,0.00016102564,0.06288928],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977568,0.0003066222,0.000068442765,0.0003144667,0.0011787696,0.00037505952],"domain_scores_gemma":[0.9963762,0.00087746175,0.00035187634,0.00027618287,0.0018792071,0.00023912168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013424059,0.00026241664,0.00052515644,0.0011222895,0.0017820317,0.0035110349,0.00050764164,0.00026372416,0.007826731],"category_scores_gemma":[0.005111459,0.00020777174,0.0005652396,0.0040618405,0.00093281106,0.0005291674,0.0009843389,0.00085641467,0.00069700874],"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":[0.0007551676,0.00005907046,0.7278796,0.0010051664,0.0008292426,0.00058358524,0.006150278,0.01175745,0.0074432734,0.049445942,0.025612956,0.16847825],"study_design_scores_gemma":[0.000020896714,0.000067206274,0.86704075,0.00021117195,0.00014780088,0.0001181148,0.0037740062,0.00215685,0.0027642676,0.0022384226,0.12142413,0.00003641884],"about_ca_topic_score_codex":0.94263786,"about_ca_topic_score_gemma":0.9653796,"teacher_disagreement_score":0.94263786,"about_ca_system_score_codex":0.015283115,"about_ca_system_score_gemma":0.01752711,"threshold_uncertainty_score":0.11539984},"labels":[],"label_agreement":null},{"id":"W1594362965","doi":"","title":"Convergence of Income Among Provinces in Canada - An Application of GMM Estimation","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Convergence (economics); Estimation; Econometrics; Economics; Per capita income; Conditional convergence; Homogeneous; Per capita; Panel data; Random effects model; Mathematics; Macroeconomics; Population; Demography","score_opus":0.024702376732153142,"score_gpt":0.2653810308098226,"score_spread":0.24067865407766947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1594362965","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":[0.98226386,0.0005180356,0.007977961,0.00040948344,0.00001781392,0.00007108064,0.004309944,0.00018780051,0.004244045],"genre_scores_gemma":[0.99301237,0.00017662473,0.0027170016,0.000021853602,0.000005205955,0.00002077849,0.0029789542,0.00002561205,0.0010415466],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998133,0.00039967636,0.000079048914,0.00043646965,0.00038895066,0.0005628895],"domain_scores_gemma":[0.9956736,0.001815328,0.0005959939,0.00031445993,0.0013176674,0.00028304916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031561747,0.00042127699,0.00092186965,0.002944415,0.0012860267,0.0012219971,0.0011603119,0.0003517307,0.0022170236],"category_scores_gemma":[0.0113508785,0.00024086024,0.001049821,0.004548147,0.0007120099,0.00061948755,0.0011215685,0.00092718174,0.00018532998],"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":[0.00026634248,0.000060952305,0.9050345,0.00007953751,0.000592492,0.00034256355,0.0017643821,0.034407247,0.00047014287,0.008551467,0.004164697,0.04426567],"study_design_scores_gemma":[0.00003189223,0.00005172578,0.9023212,0.00004780446,0.00015360375,0.00008926723,0.0023292156,0.08851284,0.0006514915,0.0016241741,0.00414176,0.00004499563],"about_ca_topic_score_codex":0.9728494,"about_ca_topic_score_gemma":0.92977554,"teacher_disagreement_score":0.027150571,"about_ca_system_score_codex":0.012043324,"about_ca_system_score_gemma":0.014609368,"threshold_uncertainty_score":0.087380886},"labels":[],"label_agreement":null},{"id":"W1594657091","doi":"10.2139/ssrn.253697","title":"Endogenous Inequality in a Trade Model with Private Information","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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 British Columbia","funders":"","keywords":"Inequality; Private information retrieval; Economics; Business; Computer science; Computer security; Mathematics","score_opus":0.022953811901414215,"score_gpt":0.19051032603689808,"score_spread":0.16755651413548386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1594657091","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":[0.67418903,0.0024757525,0.2283146,0.030229287,0.0004564399,0.00013981461,0.0030433724,0.0007248296,0.06042689],"genre_scores_gemma":[0.9654899,0.000702176,0.0034316152,0.00041794984,0.00036581556,0.000057867182,0.0002766529,0.00007509395,0.029182954],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875987,0.0004549833,0.00005437635,0.00021100775,0.0001170901,0.00040270612],"domain_scores_gemma":[0.9891766,0.007501376,0.0015974655,0.00045247993,0.00042089898,0.000851329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023805515,0.0011776093,0.00388723,0.0017432908,0.0018655423,0.006759025,0.0027567754,0.006649139,0.015301985],"category_scores_gemma":[0.008292328,0.0013046974,0.0015711428,0.0023502158,0.0038612683,0.006513859,0.0031142265,0.0041168383,0.0013465348],"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":[0.0005124851,0.0003735124,0.003773241,0.00014925422,0.00015182685,0.0010504436,0.00032260196,0.4445872,0.00056073954,0.5370463,0.0055544246,0.0059179827],"study_design_scores_gemma":[0.00022830903,0.00007012726,0.0008183413,0.000028939116,0.00006409454,0.00012261677,0.00012865012,0.8439827,0.00008369858,0.15370944,0.00072026363,0.00004278058],"about_ca_topic_score_codex":0.020148803,"about_ca_topic_score_gemma":0.009495359,"teacher_disagreement_score":0.020148803,"about_ca_system_score_codex":0.0028658446,"about_ca_system_score_gemma":0.0015842302,"threshold_uncertainty_score":0.051190197},"labels":[],"label_agreement":null},{"id":"W1595016958","doi":"10.2139/ssrn.2093526","title":"Intangible Capital and Productivity Growth in Canada","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Canada; Statistics Canada","funders":"","keywords":"Productivity; Capital (architecture); Economics; Natural resource economics; Business; Macroeconomics; Geography","score_opus":0.009451847781526659,"score_gpt":0.17162569080287318,"score_spread":0.16217384302134652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1595016958","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":[0.93800074,0.00903431,0.0005447762,0.015091887,0.00021207386,0.000042099633,0.015953425,0.00010738754,0.021013198],"genre_scores_gemma":[0.97583395,0.0037309732,0.00027075672,0.0003091773,0.00004467505,0.00001001128,0.002756051,0.000025281346,0.017019192],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908304,0.000043537235,0.00004812184,0.00010617973,0.00028202942,0.00043710598],"domain_scores_gemma":[0.9948631,0.00058263406,0.0005983985,0.00009351836,0.0025748769,0.0012874231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089842884,0.0004412157,0.00060512364,0.002574922,0.0034210163,0.0039284974,0.0013444684,0.0011538442,0.008237348],"category_scores_gemma":[0.0050369906,0.0003013935,0.0008530924,0.006812676,0.0011630661,0.0011469431,0.0012860965,0.001951265,0.00051492325],"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":[0.0007080939,0.0002678438,0.8520649,0.00030105704,0.0002827635,0.00095044944,0.0026615043,0.0116593465,0.00036820094,0.040262714,0.03699626,0.053476885],"study_design_scores_gemma":[0.00010058235,0.00005858329,0.93192196,0.00031706286,0.0002041712,0.000120421384,0.0059759514,0.012635757,0.0005838701,0.0043720575,0.043584537,0.00012504455],"about_ca_topic_score_codex":0.9991818,"about_ca_topic_score_gemma":0.99941504,"teacher_disagreement_score":0.12246618,"about_ca_system_score_codex":0.12246618,"about_ca_system_score_gemma":0.1377322,"threshold_uncertainty_score":0.88855845},"labels":[],"label_agreement":null},{"id":"W1595141159","doi":"10.3386/w22809","title":"Misallocation, Establishment Size, and Productivity","year":2016,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Productivity; Environmental science; Economics; Macroeconomics","score_opus":0.23749516756300862,"score_gpt":0.4152795076849386,"score_spread":0.17778434012192998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1595141159","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":[0.81664574,0.0013465108,0.13119872,0.0031915435,0.000092623704,0.00016543265,0.0026185985,0.0004502401,0.044290688],"genre_scores_gemma":[0.9884609,0.00050204876,0.0026084515,0.00006408793,0.000034176515,0.000044272303,0.00020309768,0.000020111582,0.008062923],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9990658,0.00018617643,0.00004346065,0.00021196582,0.00011980512,0.00037272536],"domain_scores_gemma":[0.99435896,0.0015051953,0.0025561687,0.00074549037,0.000268618,0.00056566397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012266975,0.0006922649,0.001056233,0.00088155287,0.00063737255,0.002759976,0.0023357638,0.0015545106,0.01270827],"category_scores_gemma":[0.0064771334,0.00068584684,0.0009067622,0.001586298,0.002209857,0.0031501723,0.0016749232,0.0010681445,0.0014327754],"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":[0.00033486067,0.00020519247,0.038606193,0.00018817688,0.000092368406,0.0008330473,0.00030860168,0.724346,0.0032428475,0.21118297,0.0040721768,0.01658768],"study_design_scores_gemma":[0.00027891688,0.00033261935,0.04307549,0.00007972579,0.00012308409,0.00090466294,0.00084509264,0.64667016,0.0019091691,0.29321888,0.012436742,0.00012544743],"about_ca_topic_score_codex":0.014925008,"about_ca_topic_score_gemma":0.012185973,"teacher_disagreement_score":0.014925008,"about_ca_system_score_codex":0.004526319,"about_ca_system_score_gemma":0.0016746607,"threshold_uncertainty_score":0.04251343},"labels":[],"label_agreement":null},{"id":"W1595277682","doi":"10.1007/s00191-008-0106-8","title":"Richard R. Nelson: Technology, institutions and economic growth","year":2008,"lang":"en","type":"article","venue":"Journal of Evolutionary Economics","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 du Québec à Montréal","funders":"","keywords":"Entrepreneurship; Economics; Innovation economics; Neoclassical economics; Classical economics; Economic geography; Economic history; Finance","score_opus":0.03763325884038536,"score_gpt":0.21228364287515641,"score_spread":0.17465038403477107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1595277682","genre_codex":"review","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":[0.005978505,0.6514242,0.03155027,0.2629495,0.007812305,0.0000310637,0.00073477806,0.0002142813,0.03930512],"genre_scores_gemma":[0.16602609,0.68842494,0.022240447,0.010844188,0.013189172,0.00009533598,0.00041814471,0.00016802456,0.098593704],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993285,0.00025494854,0.000049718077,0.0001050965,0.00021693567,0.00004491003],"domain_scores_gemma":[0.99788684,0.0012404921,0.00022944946,0.00010169667,0.00040285653,0.00013859913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017371253,0.0008911658,0.0007974105,0.0023448875,0.0005432141,0.0028612223,0.0011322696,0.0033278528,0.009061744],"category_scores_gemma":[0.0070763114,0.00050760683,0.0004012866,0.0041989866,0.0018184539,0.007324269,0.00091581664,0.002403563,0.0031112346],"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":[0.00012528822,0.000040922783,0.0025225086,0.0008320572,0.000095291085,0.00035535658,0.00049316353,0.0038179827,0.00039230147,0.5079764,0.38220954,0.1011392],"study_design_scores_gemma":[0.00003505131,0.00002020854,0.0034966145,0.0010518458,0.000051255047,0.00033211865,0.00030294937,0.002276734,0.0007563507,0.52112085,0.47048822,0.000067879315],"about_ca_topic_score_codex":0.0052258684,"about_ca_topic_score_gemma":0.0071057687,"teacher_disagreement_score":0.009061744,"about_ca_system_score_codex":0.001667699,"about_ca_system_score_gemma":0.0010301803,"threshold_uncertainty_score":0.030314565},"labels":[],"label_agreement":null},{"id":"W1595285445","doi":"","title":"The ICOP Manufacturing Database: International Comparisons of Productivity Levels","year":2001,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Multifactor productivity; Purchasing power; International comparisons; Economics; Purchasing; Manufacturing; Agricultural economics; Business; Operations management; Total factor productivity; Economic growth; Marketing; Macroeconomics","score_opus":0.06206888583984274,"score_gpt":0.2704187991254493,"score_spread":0.20834991328560656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1595285445","genre_codex":"dataset","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":[0.0049881274,0.00091219746,0.0026471098,0.00015994905,0.0000858091,0.00017186823,0.9729226,0.0015726982,0.016539572],"genre_scores_gemma":[0.009930696,0.0009439304,0.0050641284,0.000054723394,0.0000805074,0.00047129433,0.98042434,0.00040036585,0.0026299488],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9934449,0.0005491639,0.0017300283,0.00096739386,0.002827901,0.000480566],"domain_scores_gemma":[0.98114556,0.003091402,0.004759219,0.0029761835,0.0071406267,0.00088710047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033986564,0.0020013675,0.0019340871,0.033352654,0.0005909255,0.0046557793,0.0027221967,0.0011853069,0.035177886],"category_scores_gemma":[0.01546968,0.00069864973,0.00084321626,0.07691333,0.00037589952,0.0028522792,0.0029948654,0.0016959058,0.02295166],"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":[0.0006121854,0.00017191636,0.019403294,0.0019533564,0.0002659315,0.00015295924,0.0002663376,0.0019031657,0.0006072534,0.008279429,0.86380464,0.10257955],"study_design_scores_gemma":[0.0002416277,0.000089361165,0.1291067,0.00034488516,0.00016508941,0.0003317761,0.00031073208,0.0011722143,0.0014049324,0.0023828382,0.86434996,0.00009989924],"about_ca_topic_score_codex":0.02166422,"about_ca_topic_score_gemma":0.0109638525,"teacher_disagreement_score":0.035177886,"about_ca_system_score_codex":0.0019435069,"about_ca_system_score_gemma":0.0039919806,"threshold_uncertainty_score":0.11768174},"labels":[],"label_agreement":null},{"id":"W1595979773","doi":"","title":"Editor's Overview","year":2016,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","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":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Total factor productivity; Multifactor productivity; Wage; Labour economics; Macroeconomics","score_opus":0.036379942417005214,"score_gpt":0.24641647777185455,"score_spread":0.21003653535484934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1595979773","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010052246,0.018055916,0.00043620708,0.12851718,0.83661675,0.000043334025,0.0003721659,0.00017958663,0.015678322],"genre_scores_gemma":[0.001385718,0.02844839,0.0007129827,0.15073207,0.733879,0.00011175482,0.0004817756,0.00025470147,0.08399356],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99666864,0.00035655225,0.00037107986,0.0005049427,0.0016588265,0.0004399632],"domain_scores_gemma":[0.97899044,0.003505048,0.001120947,0.00067585375,0.011998197,0.0037095186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048339427,0.0017142663,0.0015142153,0.0033610542,0.0021785342,0.006829797,0.0027933058,0.008935218,0.09718744],"category_scores_gemma":[0.027096443,0.00059685105,0.001629862,0.0022159258,0.001058141,0.0055195168,0.002443776,0.008453713,0.056861755],"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":[0.000010710172,0.000007208362,0.000030185885,0.00012185941,0.0000026741159,0.000029769522,0.000008533464,0.000014207996,0.000031293162,0.00042899197,0.9856523,0.013662257],"study_design_scores_gemma":[0.000008018914,0.000009654621,0.00014074499,0.0003249028,0.0000052914916,0.00009392283,0.000020785958,0.000021833597,0.00003838752,0.00057070015,0.99875903,0.0000067530787],"about_ca_topic_score_codex":0.0018262262,"about_ca_topic_score_gemma":0.003869889,"teacher_disagreement_score":0.09718744,"about_ca_system_score_codex":0.0025331671,"about_ca_system_score_gemma":0.006586966,"threshold_uncertainty_score":0.32512432},"labels":[],"label_agreement":null},{"id":"W1596161666","doi":"","title":"Globalization, Gains from Specialization and the World Distribution of Output","year":2003,"lang":"en","type":"preprint","venue":"Toulouse Capitole Publications (University Toulouse 1 Capitole)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Globalization; Distribution (mathematics); Economics; Sight; Productivity; Production (economics); Income distribution; Mechanism (biology); Capital (architecture); Relevance (law); International trade; International economics; Microeconomics; Inequality; Macroeconomics; Market economy; Geography; Political science","score_opus":0.02890376803264184,"score_gpt":0.20656793081931843,"score_spread":0.1776641627866766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1596161666","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":[0.86525506,0.0028632027,0.08469391,0.005401336,0.000050255177,0.00001720365,0.00025850048,0.00013487079,0.04132564],"genre_scores_gemma":[0.9967803,0.00064451335,0.0013057315,0.000059829938,0.00002551393,0.0000058803544,0.00002539096,0.000012185365,0.001140597],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99977857,0.0000849278,0.000006920386,0.00004848658,0.000029900048,0.000051189283],"domain_scores_gemma":[0.99915373,0.00039712762,0.00022391643,0.00011063082,0.000039447004,0.0000751947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010125672,0.00029082774,0.00033471992,0.00076075323,0.00038093366,0.0024785968,0.0003424423,0.0007433628,0.0030586424],"category_scores_gemma":[0.0033458855,0.00016547518,0.0004705379,0.0008818683,0.0018054415,0.0024171511,0.0010386478,0.00053581886,0.00027334326],"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":[0.00013881209,0.000060518647,0.03010251,0.0000942017,0.00009155148,0.0007390004,0.0010864281,0.19485965,0.0011459679,0.7299463,0.0033074627,0.03842758],"study_design_scores_gemma":[0.000053018073,0.000048623868,0.04351951,0.00006863522,0.000048017937,0.00047811423,0.00088845944,0.13881433,0.00054848276,0.8048421,0.010652017,0.000038633607],"about_ca_topic_score_codex":0.002542412,"about_ca_topic_score_gemma":0.0013423216,"teacher_disagreement_score":0.0030586424,"about_ca_system_score_codex":0.0013910189,"about_ca_system_score_gemma":0.00033495395,"threshold_uncertainty_score":0.010232151},"labels":[],"label_agreement":null},{"id":"W1597447093","doi":"10.2139/ssrn.2478752","title":"Roads and Innovation","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"University of Toronto","funders":"","keywords":"Business","score_opus":0.014408237696175125,"score_gpt":0.19888994284710834,"score_spread":0.1844817051509332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1597447093","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":[0.036659844,0.009821654,0.0035412996,0.032072466,0.00064442545,0.000021134734,0.00095056713,0.00014241567,0.9161463],"genre_scores_gemma":[0.7059346,0.01405179,0.0017095217,0.0021818855,0.0010186258,0.000041955303,0.0005416313,0.00009412679,0.27442592],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99947256,0.00016295839,0.000021508671,0.0001137135,0.00013293212,0.000096313575],"domain_scores_gemma":[0.99775785,0.0009350126,0.0003659272,0.00030630422,0.00037881575,0.00025599977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063227094,0.00018916558,0.00029788772,0.0016249956,0.0013483712,0.005741524,0.00046527272,0.0018638676,0.08522591],"category_scores_gemma":[0.0036639695,0.00012230211,0.00035730872,0.0022861713,0.0027053915,0.004594666,0.002113363,0.0010658522,0.009540974],"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":[0.000018276287,0.0000207799,0.0018756244,0.00008421487,0.000014893359,0.00007931743,0.00071058923,0.0006085752,0.000066367764,0.9425381,0.02391336,0.030069819],"study_design_scores_gemma":[0.000012059294,0.00001893152,0.0033060045,0.00014245583,0.000022843617,0.00017920014,0.0017238301,0.00049027865,0.00013980684,0.61702013,0.3769305,0.000014015333],"about_ca_topic_score_codex":0.0062837116,"about_ca_topic_score_gemma":0.0075396583,"teacher_disagreement_score":0.08522591,"about_ca_system_score_codex":0.0017682229,"about_ca_system_score_gemma":0.0013996223,"threshold_uncertainty_score":0.28510904},"labels":[],"label_agreement":null},{"id":"W1599048548","doi":"","title":"Qu'est-ce que la productivite? Comment la mesure-t-on? Quelle a ete la productivite du Canada?","year":2008,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Humanities; Philosophy","score_opus":0.02612079768344621,"score_gpt":0.2570723291550979,"score_spread":0.2309515314716517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1599048548","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":[0.12571105,0.10889778,0.042990934,0.18180239,0.004300736,0.0007947064,0.027411431,0.0016885725,0.5064025],"genre_scores_gemma":[0.62855864,0.07779707,0.043190844,0.025198776,0.0011448064,0.0005794676,0.007852184,0.001551178,0.21412711],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9839348,0.0028207547,0.00050481525,0.001980221,0.0091376975,0.0016217198],"domain_scores_gemma":[0.9563909,0.0067688064,0.0022031805,0.0021767665,0.029839724,0.002620673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01389182,0.0009215544,0.0012413758,0.00379438,0.004665076,0.01330164,0.00241197,0.0016817902,0.024299148],"category_scores_gemma":[0.030138638,0.00062975165,0.0018048056,0.010110659,0.0072549055,0.004413634,0.002221249,0.0038389901,0.0038280713],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001040198,0.00019465009,0.10589609,0.005032085,0.001059163,0.00043106047,0.009995766,0.0036450543,0.006937409,0.22909746,0.109342165,0.52732885],"study_design_scores_gemma":[0.000082977014,0.0004458923,0.13948919,0.003999897,0.00060643436,0.00026573113,0.0084598465,0.0012902371,0.006099452,0.01666766,0.8223008,0.00029188796],"about_ca_topic_score_codex":0.9327631,"about_ca_topic_score_gemma":0.9395939,"teacher_disagreement_score":0.0672369,"about_ca_system_score_codex":0.0610529,"about_ca_system_score_gemma":0.12606129,"threshold_uncertainty_score":0.4429719},"labels":[],"label_agreement":null},{"id":"W1599304072","doi":"10.17016/bulletin.2003.89-4","title":"Industrial Production and Capacity Utilization: The 2002 Historical and Annual Revision","year":2003,"lang":"en","type":"article","venue":"Federal Reserve Bulletin","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":18,"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":"Capacity utilization; Industrial production index; Trough (economics); Production (economics); Recession; Percentage point; Index (typography); Quarter (Canadian coin); Industrial production; Operations management; Agricultural economics; Statistics; Business; Econometrics; Economics; Mathematics; Computer science; Geography; Macroeconomics","score_opus":0.11606742709535905,"score_gpt":0.22929068172743358,"score_spread":0.11322325463207453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1599304072","genre_codex":"dataset","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":[0.10897867,0.040900685,0.030076275,0.018167146,0.025681484,0.0010365142,0.50050414,0.004647098,0.270008],"genre_scores_gemma":[0.33445933,0.045752607,0.026262047,0.0029568048,0.010242006,0.0016892188,0.4058739,0.0015529522,0.17121121],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9959223,0.00040180932,0.0006734599,0.00045914657,0.0022311579,0.00031206157],"domain_scores_gemma":[0.9749903,0.0011544236,0.002415462,0.0013115017,0.019699963,0.00042841223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029973998,0.001264237,0.00061137794,0.012367897,0.00084966334,0.003983303,0.001509131,0.00085763383,0.005479836],"category_scores_gemma":[0.0142507795,0.0006532724,0.00057240226,0.016224686,0.00051495613,0.0024139371,0.0009271491,0.0018984652,0.004733407],"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":[0.00020223718,0.0001474082,0.023948682,0.0009200492,0.000057825557,0.00019211376,0.0005648953,0.0026163214,0.0007277258,0.010778939,0.7215792,0.23826462],"study_design_scores_gemma":[0.000010272392,0.000035231646,0.06602359,0.00031290122,0.000024988889,0.00015272494,0.00018590054,0.0009351685,0.00088355236,0.00074881135,0.9306414,0.000045453256],"about_ca_topic_score_codex":0.059310958,"about_ca_topic_score_gemma":0.026895918,"teacher_disagreement_score":0.059310958,"about_ca_system_score_codex":0.003979587,"about_ca_system_score_gemma":0.004786214,"threshold_uncertainty_score":0.117931485},"labels":[],"label_agreement":null},{"id":"W1599380236","doi":"10.1111/j.1540-5982.2009.01529.x","title":"Information technology and economic performance in U.S industries","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Estimation; Economics; Sample (material); Econometrics; Order (exchange); Parametric statistics; Capital (architecture); Total factor productivity; Industrial organization; Labour economics; Macroeconomics; Statistics; Mathematics; Finance","score_opus":0.06555144771347418,"score_gpt":0.15883731983448782,"score_spread":0.09328587212101364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1599380236","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":[0.9939711,0.00052001065,0.00010509243,0.00041460054,0.000011069681,0.000006071466,0.00086079404,0.000008893042,0.0041024107],"genre_scores_gemma":[0.9985617,0.00024390037,0.000045036733,0.000023212811,0.000013841267,0.0000033731033,0.00070215884,0.0000014355018,0.00040541348],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944264,0.00012266487,0.00005673554,0.00006181946,0.0001691097,0.00014707996],"domain_scores_gemma":[0.98664737,0.0037964217,0.006413058,0.0003344887,0.0015994603,0.0012091622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094752875,0.00020483066,0.00027187995,0.0024993822,0.0004217172,0.0015899121,0.0001711495,0.00039884506,0.0028263598],"category_scores_gemma":[0.006658191,0.00009768866,0.0002518268,0.005278642,0.0004764212,0.0005994241,0.00070064835,0.00061019236,0.0006818541],"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":[0.00006328332,0.00012699494,0.98832124,0.00002294148,0.000055183,0.00008967043,0.00017804664,0.0014847843,0.00020964899,0.00094418693,0.001134773,0.007369251],"study_design_scores_gemma":[0.000005129505,0.00005856825,0.996811,0.000018238807,0.000013282674,0.000029590135,0.0003026319,0.0011312723,0.00020580803,0.0002902613,0.0011290769,0.0000050354465],"about_ca_topic_score_codex":0.024111498,"about_ca_topic_score_gemma":0.026570888,"teacher_disagreement_score":0.024111498,"about_ca_system_score_codex":0.0009205228,"about_ca_system_score_gemma":0.0005159427,"threshold_uncertainty_score":0.04794234},"labels":[],"label_agreement":null},{"id":"W1599619726","doi":"","title":"A Three-Period Analysis of R&D Spillovers in the Presence of an Industry Life Cycle Pattern","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Incentive; Dimension (graph theory); Function (biology); Economics; Econometrics; Industrial organization; Microeconomics; Mathematics; Combinatorics","score_opus":0.01525114429429948,"score_gpt":0.2215737980484629,"score_spread":0.20632265375416342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1599619726","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":[0.9871351,0.00067431637,0.0073518096,0.00048171345,0.000015058018,0.00003630822,0.00074394315,0.000035001827,0.0035267086],"genre_scores_gemma":[0.99738795,0.0001761207,0.00059529854,0.000026958442,0.000009275876,0.0000137284305,0.00025008555,0.0000036259996,0.0015370429],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997973,0.000053591633,0.0000089670775,0.000036387282,0.000021559286,0.00008229912],"domain_scores_gemma":[0.9969131,0.0018025122,0.0006851404,0.0001584441,0.00017978706,0.00026097766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015761219,0.0002329561,0.00052466337,0.0005846516,0.0003622332,0.0009446343,0.00057513034,0.0008550948,0.006449184],"category_scores_gemma":[0.0035797956,0.00021307296,0.0008527092,0.0010274495,0.00038294133,0.00082696497,0.0005592907,0.0008282662,0.000322986],"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":[0.005364049,0.0011872952,0.18944836,0.0005517335,0.0011660771,0.0038072022,0.0006560472,0.6374841,0.011952962,0.09691648,0.004313416,0.047152262],"study_design_scores_gemma":[0.00018799737,0.0008256682,0.16909888,0.00003849604,0.000548494,0.00039848874,0.00066107267,0.8076374,0.0017115552,0.016018739,0.0027725042,0.0001007691],"about_ca_topic_score_codex":0.015550975,"about_ca_topic_score_gemma":0.0112119345,"teacher_disagreement_score":0.015550975,"about_ca_system_score_codex":0.0011277045,"about_ca_system_score_gemma":0.0006073461,"threshold_uncertainty_score":0.030920923},"labels":[],"label_agreement":null},{"id":"W1600701406","doi":"","title":"Economic Momentum Slows in the Euro Area – Energy Price Developments Have a Negative Impact","year":2005,"lang":"en","type":"article","venue":"Monetary Policy & the Economy","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Economics; Inflation (cosmology); Accession; Foreign direct investment; Real gross domestic product; Monetary economics; International economics; Investment (military); Consumption (sociology); Macroeconomics; European union; Geography","score_opus":0.026709536792435443,"score_gpt":0.22797844797548927,"score_spread":0.20126891118305384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1600701406","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":[0.8260469,0.0077260495,0.00049825944,0.0098362,0.0011927373,0.000027171112,0.0023437825,0.00027903655,0.15204994],"genre_scores_gemma":[0.97730845,0.0035914609,0.00027708398,0.0021197936,0.0004326136,0.000012706929,0.0017016827,0.000095450865,0.014460715],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99963784,0.000051400482,0.00003583247,0.000069706,0.000109729466,0.00009537381],"domain_scores_gemma":[0.9991666,0.000068775116,0.0002945043,0.00006090692,0.00025730176,0.00015188783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010382996,0.0004018846,0.0002324143,0.0009014377,0.0004199314,0.00381946,0.00016752427,0.0006360645,0.0047138124],"category_scores_gemma":[0.002296819,0.00011032591,0.0002981028,0.0010709505,0.00045725907,0.0015744847,0.00093222247,0.00075601885,0.0011583362],"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":[0.002082712,0.0003254053,0.43082225,0.0009974671,0.00042601317,0.0036733616,0.0035042167,0.004819884,0.00913944,0.08135156,0.131015,0.3318427],"study_design_scores_gemma":[0.000063796055,0.00031503892,0.7098623,0.00032745654,0.000108910266,0.0006871777,0.002524431,0.0010956011,0.002942256,0.003127188,0.27890325,0.00004269138],"about_ca_topic_score_codex":0.00624301,"about_ca_topic_score_gemma":0.0030330184,"teacher_disagreement_score":0.00624301,"about_ca_system_score_codex":0.00068978604,"about_ca_system_score_gemma":0.0007717005,"threshold_uncertainty_score":0.015769243},"labels":[],"label_agreement":null},{"id":"W1600906415","doi":"","title":"Transitional Dynamics with Human Capital Accumulation and Mortality Decline","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Life expectancy; Economics; Human capital; Affect (linguistics); Expectancy theory; Demographic economics; Growth model; Econometrics; Demography; Psychology; Economic growth; Macroeconomics; Population; Sociology","score_opus":0.07160003380086334,"score_gpt":0.3214399040523228,"score_spread":0.24983987025145948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1600906415","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":[0.9341476,0.0016922913,0.035045393,0.0048247185,0.00007171754,0.00005663092,0.0012567732,0.00025494525,0.022649955],"genre_scores_gemma":[0.993971,0.0005428136,0.0008532875,0.000082906605,0.000026394255,0.000022253635,0.0001560284,0.00000929111,0.0043359874],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967146,0.00008471527,0.000015424957,0.00007973146,0.000038687176,0.00010997538],"domain_scores_gemma":[0.99717987,0.0010869245,0.0010000743,0.00019778269,0.00019745437,0.00033788854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014772535,0.00035067336,0.00038810034,0.00096449704,0.0005814091,0.0019929507,0.0006087906,0.0012731738,0.007107124],"category_scores_gemma":[0.010586915,0.00024601835,0.00057266635,0.0015085241,0.0014211329,0.0024038374,0.0015733856,0.0012461297,0.0007145113],"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":[0.00057242066,0.0003126664,0.25429687,0.00027268,0.00015249818,0.0027474228,0.0037388077,0.14040482,0.0028632078,0.53975284,0.0062728575,0.048612878],"study_design_scores_gemma":[0.00007878368,0.00030010432,0.21994038,0.00013655664,0.000094064315,0.0019730825,0.002093621,0.17408791,0.0014888177,0.58400583,0.01571419,0.00008664173],"about_ca_topic_score_codex":0.004458625,"about_ca_topic_score_gemma":0.0023111436,"teacher_disagreement_score":0.007107124,"about_ca_system_score_codex":0.001227287,"about_ca_system_score_gemma":0.0007985663,"threshold_uncertainty_score":0.023775756},"labels":[],"label_agreement":null},{"id":"W1602284838","doi":"10.2139/ssrn.1507879","title":"User Guide for Statistics Canada's Annual Multifactor Productivity Program","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Canada; Statistics Canada","funders":"","keywords":"Productivity; Statistics; Multifactor productivity; Annual report; Econometrics; Computer science; Business; Economics; Accounting; Mathematics; Economic growth; Total factor productivity","score_opus":0.012066098385824928,"score_gpt":0.23580513755793953,"score_spread":0.2237390391721146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1602284838","genre_codex":"dataset","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00089987065,0.00058891607,0.00931623,0.0011879143,0.00042814086,0.0005271411,0.8813838,0.013974377,0.091693595],"genre_scores_gemma":[0.007479628,0.0019806619,0.038923137,0.0010770572,0.0002957892,0.0013788212,0.6260718,0.008731318,0.3140618],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974826,0.00022253349,0.00017507061,0.0001363251,0.0015647842,0.00041876975],"domain_scores_gemma":[0.9752373,0.0031831767,0.0005288614,0.0014587619,0.0185891,0.0010028038],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00224093,0.0015816002,0.0014590793,0.010871473,0.001604905,0.0024718249,0.002568651,0.0009110534,0.35241586],"category_scores_gemma":[0.017032236,0.0014296223,0.0013648525,0.01883873,0.0002963993,0.0021204716,0.0012308488,0.0017248868,0.23163718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016086558,0.000018274513,0.00048087307,0.00007107639,0.000005945543,0.000006516352,0.000021490176,0.00021997986,0.000031382227,0.000923584,0.9757017,0.022503102],"study_design_scores_gemma":[0.000071609895,0.000014797733,0.007973709,0.00016864372,0.000024532894,0.00004505384,0.00015478997,0.0020071326,0.00032735275,0.0025762643,0.9865849,0.000051187002],"about_ca_topic_score_codex":0.8698136,"about_ca_topic_score_gemma":0.8793024,"teacher_disagreement_score":0.35241586,"about_ca_system_score_codex":0.010026246,"about_ca_system_score_gemma":0.04484682,"threshold_uncertainty_score":0.92370015},"labels":[],"label_agreement":null},{"id":"W1602453937","doi":"10.3386/w19104","title":"Capital-Labor-Energy Substitution in Nested CES Production Functions for China","year":2013,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Substitution (logic); Production (economics); China; Capital (architecture); Economics; Labour economics; Computer science; Geography; Microeconomics","score_opus":0.27657879749847786,"score_gpt":0.41380774640175155,"score_spread":0.1372289489032737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1602453937","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":[0.9278441,0.0003649225,0.06643205,0.00043625868,0.000020861671,0.00011981695,0.0018131771,0.00011777637,0.0028508925],"genre_scores_gemma":[0.98609155,0.0003312685,0.010365487,0.000029630484,0.000007241871,0.00009249153,0.0014557865,0.000018077893,0.001608385],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999209,0.00034517393,0.00005407215,0.00016741817,0.00008843267,0.00013603165],"domain_scores_gemma":[0.9982132,0.001055702,0.00027365843,0.00023114914,0.00017284325,0.000053460353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002595423,0.00077139685,0.0009742865,0.0010633569,0.0004537295,0.0007410523,0.0007199256,0.00041761066,0.0026123035],"category_scores_gemma":[0.0048644156,0.00038983457,0.0020212682,0.001968094,0.0008387135,0.0009142407,0.00082405796,0.00058794126,0.00030324416],"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":[0.00016499359,0.00009257403,0.10727362,0.00022041619,0.0002860971,0.0007316152,0.00050938595,0.8140591,0.0018414118,0.051647082,0.0012491203,0.021924617],"study_design_scores_gemma":[0.000044900404,0.00008321625,0.07964655,0.00004763446,0.00011831069,0.00012372913,0.0004987452,0.8819146,0.0014995269,0.033020757,0.0029332316,0.00006876693],"about_ca_topic_score_codex":0.07601926,"about_ca_topic_score_gemma":0.051051185,"teacher_disagreement_score":0.07601926,"about_ca_system_score_codex":0.0024825812,"about_ca_system_score_gemma":0.0028325391,"threshold_uncertainty_score":0.15115356},"labels":[],"label_agreement":null},{"id":"W1604689419","doi":"","title":"Le capital infrastructurel : sa nature, sa répartition et son importance","year":2008,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Humanities; Political science; Art","score_opus":0.0231408989151225,"score_gpt":0.26698230010176266,"score_spread":0.24384140118664016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1604689419","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":[0.21989973,0.050274402,0.07797237,0.04419111,0.0011329483,0.00044819192,0.02409246,0.0011939474,0.58079475],"genre_scores_gemma":[0.79551697,0.040202715,0.033534028,0.001922718,0.00045174698,0.00024174809,0.00734118,0.00045617318,0.120332636],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961993,0.00034570793,0.00013825565,0.00042185644,0.0023521625,0.0005426149],"domain_scores_gemma":[0.9920893,0.0020268788,0.0009956782,0.0006049376,0.003799818,0.0004834286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019195043,0.00067329506,0.000475212,0.010098272,0.003700837,0.012156334,0.001178827,0.0010683266,0.0107204],"category_scores_gemma":[0.009896442,0.0004294092,0.0005508956,0.022431422,0.004385036,0.005293688,0.0019368237,0.0015484632,0.0014465427],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013235291,0.000038974747,0.091786414,0.0012060493,0.00014999781,0.00057792454,0.0103389835,0.0059012654,0.0017314504,0.39907813,0.063709825,0.42534867],"study_design_scores_gemma":[0.0000096722715,0.000039448547,0.11120446,0.0013215066,0.00009926666,0.0005398576,0.008503524,0.005352653,0.0022530588,0.02941463,0.8411183,0.00014365201],"about_ca_topic_score_codex":0.8072198,"about_ca_topic_score_gemma":0.796064,"teacher_disagreement_score":0.8072198,"about_ca_system_score_codex":0.036014944,"about_ca_system_score_gemma":0.02840542,"threshold_uncertainty_score":0.38783097},"labels":[],"label_agreement":null},{"id":"W1605457573","doi":"","title":"Income Convergence and trade Openness: Fuzzy Clustering and Time Series Evidence","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Openness to experience; Economics; Convergence (economics); Per capita income; Order (exchange); Free trade; International economics; Empirical evidence; Goods and services; Econometrics; Time series; Causality (physics); International trade; Macroeconomics; Economy; Mathematics","score_opus":0.055745974955363965,"score_gpt":0.2822550576231688,"score_spread":0.22650908266780487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1605457573","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":[0.96485925,0.0025722717,0.024267709,0.0015580511,0.000034099594,0.000037264745,0.0004251928,0.000054796838,0.0061914735],"genre_scores_gemma":[0.9951271,0.00082903006,0.0031420763,0.000050917897,0.00005762281,0.000007894969,0.0004197101,0.0000062125714,0.00035935774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99827576,0.0006947271,0.00015979729,0.00033914432,0.000400171,0.00013037772],"domain_scores_gemma":[0.96804774,0.021603461,0.004593249,0.0026993356,0.0021655546,0.00089063385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004810271,0.00027427156,0.0009103891,0.00640154,0.0013974846,0.0024582539,0.0011881018,0.0012567802,0.004236364],"category_scores_gemma":[0.029538454,0.00025099597,0.001194354,0.0063514253,0.002593576,0.0026843,0.0014214308,0.0012147994,0.00034223945],"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":[0.0010727672,0.00032956552,0.682951,0.00039116407,0.0016147033,0.001459941,0.0031171541,0.08131089,0.0011334679,0.12129365,0.0027687128,0.102557026],"study_design_scores_gemma":[0.000101371115,0.00013145799,0.5404115,0.00019347246,0.00033030479,0.0008175333,0.0036858656,0.2167312,0.0007066825,0.23331428,0.0034564135,0.000120073775],"about_ca_topic_score_codex":0.009665468,"about_ca_topic_score_gemma":0.005166329,"teacher_disagreement_score":0.009665468,"about_ca_system_score_codex":0.0010820543,"about_ca_system_score_gemma":0.00036015254,"threshold_uncertainty_score":0.025439441},"labels":[],"label_agreement":null},{"id":"W1605596457","doi":"10.2139/ssrn.2324622","title":"Productivity Growth and Stock Returns: Firm- and Aggregate-Level Analyses","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"University of Alberta","funders":"","keywords":"Stock (firearms); Economics; Productivity; Aggregate (composite); Monetary economics; Econometrics; Business; Macroeconomics; Engineering","score_opus":0.04460383625228763,"score_gpt":0.23977841457883756,"score_spread":0.19517457832654994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1605596457","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":[0.9974413,0.0003315994,0.00038211237,0.000105330284,0.000006446855,0.000004892764,0.000755812,0.000018655874,0.00095380447],"genre_scores_gemma":[0.99844307,0.0001335421,0.000049076298,0.000011356469,0.000025283043,0.0000031074937,0.000755887,0.000003824478,0.000574907],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933714,0.00017559897,0.00004137669,0.00010794759,0.00013242927,0.00020547953],"domain_scores_gemma":[0.99097204,0.004817913,0.0021808825,0.00053110346,0.00049219624,0.0010059148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013681744,0.00043758404,0.0006083588,0.0022879948,0.00027512063,0.0017557223,0.0004043333,0.00065950706,0.004110575],"category_scores_gemma":[0.0054470836,0.00024011824,0.0014047413,0.0033401009,0.00051409,0.0013787439,0.0013203833,0.0012391413,0.00089234003],"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":[0.00032696335,0.00008441651,0.9906833,0.000015460224,0.00048229395,0.00014046111,0.0000946881,0.0025507617,0.00039304735,0.00043944508,0.00041830714,0.0043707592],"study_design_scores_gemma":[0.000011225008,0.00013166443,0.99323773,0.0000043581877,0.00023243068,0.00005917773,0.00023784711,0.005159416,0.0002556177,0.0003555835,0.00030492825,0.000009949891],"about_ca_topic_score_codex":0.0140286675,"about_ca_topic_score_gemma":0.012223131,"teacher_disagreement_score":0.0140286675,"about_ca_system_score_codex":0.00045191785,"about_ca_system_score_gemma":0.00048792033,"threshold_uncertainty_score":0.02789402},"labels":[],"label_agreement":null},{"id":"W1606200810","doi":"","title":"Will fast productivity growth persist","year":2007,"lang":"en","type":"article","venue":"FRB SF weekly letter","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Boom; Quarter (Canadian coin); Economics; Annual growth %; Growth rate; Agricultural economics; Demographic economics; Economic growth; Geography; Environmental science","score_opus":0.02125999175583185,"score_gpt":0.1908885184124,"score_spread":0.16962852665656816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1606200810","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":[0.004214369,0.0037981176,0.00040655854,0.94128567,0.020175684,0.0000107209,0.00016767877,0.00006229092,0.02987888],"genre_scores_gemma":[0.119253986,0.009325166,0.0006727075,0.70413786,0.07752263,0.000098759694,0.00025364492,0.00016087068,0.088574275],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964126,0.0006006792,0.00014732622,0.00065261713,0.0008548771,0.0013320311],"domain_scores_gemma":[0.9865992,0.0059290747,0.0016527057,0.0010183069,0.0022876645,0.0025130422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007101423,0.00048450116,0.0004998851,0.0006205796,0.0023347673,0.0059183445,0.000719194,0.014632637,0.027940799],"category_scores_gemma":[0.046844944,0.0002153831,0.00041311246,0.00063349545,0.003657229,0.009540736,0.0024599556,0.011298531,0.023456331],"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":[0.00023324374,0.00007271912,0.0022225573,0.00011905701,0.000015432584,0.00046365423,0.000413342,0.000059879898,0.0004722301,0.0994023,0.81080127,0.08572437],"study_design_scores_gemma":[0.00006542768,0.00010462854,0.0024479898,0.00021444564,0.000009177887,0.00036224598,0.0005939913,0.00018522865,0.00045509377,0.053778533,0.9417447,0.000038484453],"about_ca_topic_score_codex":0.0013774872,"about_ca_topic_score_gemma":0.0013733224,"teacher_disagreement_score":0.027940799,"about_ca_system_score_codex":0.0040378687,"about_ca_system_score_gemma":0.0026200837,"threshold_uncertainty_score":0.09347135},"labels":[],"label_agreement":null},{"id":"W1606416003","doi":"","title":"The Effects of Computer Technologies on the Canadian Economy: Evidence from New Direct Measures","year":2015,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Economics","score_opus":0.06749281956777962,"score_gpt":0.20235330995530273,"score_spread":0.13486049038752312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1606416003","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":[0.90668726,0.013052553,0.0009110665,0.0022018529,0.00008650117,0.00013937215,0.024641505,0.00009400383,0.05218586],"genre_scores_gemma":[0.97343194,0.0121041555,0.0006540932,0.00021044843,0.00006625313,0.000044787488,0.007724096,0.000015272948,0.005748947],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955782,0.00043046311,0.00018666162,0.0003671147,0.0028269822,0.0006104945],"domain_scores_gemma":[0.97313863,0.009312352,0.004985018,0.0010524187,0.010048568,0.0014630212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024199581,0.0006631125,0.00062360516,0.005368582,0.0017653805,0.0027332548,0.0011516716,0.0005825323,0.004913969],"category_scores_gemma":[0.020323446,0.00027800817,0.00096433674,0.01947771,0.0020055482,0.00093311816,0.0017510226,0.0011418185,0.00037891648],"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":[0.00039097088,0.00018354395,0.91933656,0.0006974879,0.0007350915,0.0002601245,0.0012054091,0.0062971245,0.0003318598,0.0045496784,0.0062267412,0.059785333],"study_design_scores_gemma":[0.00001787437,0.000057222696,0.99182874,0.000075004216,0.00016217653,0.000029577155,0.0006357547,0.0010191437,0.000251084,0.00023428818,0.0056604953,0.00002863869],"about_ca_topic_score_codex":0.99156255,"about_ca_topic_score_gemma":0.992589,"teacher_disagreement_score":0.033828437,"about_ca_system_score_codex":0.033828437,"about_ca_system_score_gemma":0.031985465,"threshold_uncertainty_score":0.24544364},"labels":[],"label_agreement":null},{"id":"W1607275453","doi":"10.2139/ssrn.909300","title":"Investments in Information Technology: Indirect Effects and Information Technology Intensity","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":81,"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 Calgary","funders":"","keywords":"Production (economics); Productivity; Capital intensity; Industrial organization; Production function; Value (mathematics); Manufacturing sector; Capital (architecture); Economics; Function (biology); Manufacturing; Measure (data warehouse); Microeconomics; Business; Econometrics; Labour economics; Marketing; Computer science; Macroeconomics","score_opus":0.004213073967443028,"score_gpt":0.16890768401645334,"score_spread":0.16469461004901031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1607275453","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":[0.9690718,0.0012085938,0.0030224472,0.0016405429,0.00003269427,0.000061592655,0.0007842667,0.00007005342,0.024107987],"genre_scores_gemma":[0.99336493,0.0008141334,0.00048456172,0.00010602758,0.000088122884,0.000025106183,0.0002977207,0.000016933862,0.0048025586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977133,0.0008550426,0.00022749233,0.0002563878,0.00044157862,0.00050615065],"domain_scores_gemma":[0.8962891,0.076368235,0.014054481,0.0040696836,0.0031900145,0.0060284995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003307384,0.00070038193,0.00088562217,0.0023024948,0.00047326612,0.005725546,0.0006568171,0.0018013443,0.02112803],"category_scores_gemma":[0.02523447,0.00048808366,0.0010611401,0.003188064,0.0013359039,0.0039442186,0.0023567148,0.0025404706,0.0014931515],"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":[0.0013659487,0.0016817447,0.93020815,0.00022337695,0.0012753685,0.00052451,0.0005060478,0.0096426485,0.0021958195,0.022818908,0.0013200807,0.02823745],"study_design_scores_gemma":[0.00023129741,0.0009080877,0.9168066,0.0001558122,0.0030427822,0.00063628907,0.0014230956,0.012944681,0.005676025,0.05362636,0.0044602,0.0000887219],"about_ca_topic_score_codex":0.0024343333,"about_ca_topic_score_gemma":0.003182019,"teacher_disagreement_score":0.02112803,"about_ca_system_score_codex":0.0013158977,"about_ca_system_score_gemma":0.0010471621,"threshold_uncertainty_score":0.07068032},"labels":[],"label_agreement":null},{"id":"W1607934931","doi":"10.2139/ssrn.1507872","title":"Long-Term Productivity Growth in Canada and the United States","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Canada; Statistics Canada","funders":"","keywords":"Productivity; Term (time); Business; Economics; Economic growth","score_opus":0.009353733690628694,"score_gpt":0.18693727055392542,"score_spread":0.17758353686329673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1607934931","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":[0.969928,0.004281072,0.00016000406,0.0060552224,0.00013023656,0.000015186771,0.010417474,0.0000574775,0.008955357],"genre_scores_gemma":[0.98777044,0.0016517502,0.00006044571,0.00022720113,0.00003423345,0.0000054771995,0.0048248456,0.000011541658,0.005414109],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916613,0.00003315944,0.000035998215,0.00007033833,0.00024842512,0.0004460144],"domain_scores_gemma":[0.99436885,0.00035955498,0.0004980955,0.00006510919,0.0031201951,0.0015882716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096954545,0.00035617672,0.0005190423,0.0027460405,0.0026499676,0.004038135,0.0011175547,0.0011584156,0.002505343],"category_scores_gemma":[0.0044273795,0.00017828355,0.000605314,0.0068233893,0.0010538468,0.0014998541,0.0014637859,0.0017173209,0.00043804976],"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":[0.00040420584,0.00014588301,0.94553035,0.000069385445,0.00016067713,0.00062074856,0.0016671671,0.004313931,0.00022751804,0.0052525047,0.020190163,0.021417469],"study_design_scores_gemma":[0.000014893668,0.00002238755,0.98481673,0.000056240016,0.000054375894,0.000054071363,0.004460907,0.0025453772,0.00018296677,0.00043207264,0.007331742,0.000028227523],"about_ca_topic_score_codex":0.9945669,"about_ca_topic_score_gemma":0.9964386,"teacher_disagreement_score":0.04729533,"about_ca_system_score_codex":0.04729533,"about_ca_system_score_gemma":0.047444243,"threshold_uncertainty_score":0.34315324},"labels":[],"label_agreement":null},{"id":"W1624860201","doi":"10.2139/ssrn.249849","title":"Disaggregate Dynamics and Economic Growth in Canada","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Dynamics (music); Economic geography; Economics; Sociology","score_opus":0.005060433432716611,"score_gpt":0.16310804601954326,"score_spread":0.15804761258682665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1624860201","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":[0.94616145,0.0023824736,0.00080411974,0.007970604,0.00007041916,0.000038647875,0.022629492,0.00013467402,0.019808203],"genre_scores_gemma":[0.98215127,0.0011397395,0.00038828902,0.00022772844,0.00002184256,0.000012106147,0.00515364,0.000025966747,0.010879387],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916697,0.00003984198,0.000042763575,0.000117854295,0.00026938244,0.00036314075],"domain_scores_gemma":[0.9966762,0.00031078607,0.00038810715,0.000118215845,0.0018476362,0.00065898604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000774551,0.000272763,0.00069489464,0.0033387851,0.0028024537,0.0041275285,0.0009755884,0.0010028013,0.008956343],"category_scores_gemma":[0.0049766186,0.0003214868,0.00063826307,0.008128103,0.0009964402,0.0013648402,0.0018867564,0.0013991719,0.0005128292],"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":[0.0007081724,0.00019412483,0.7494844,0.00020889573,0.0004101166,0.00068485644,0.0035666123,0.051904295,0.0010137887,0.080650195,0.047299236,0.06387532],"study_design_scores_gemma":[0.00004069733,0.000035368674,0.9096671,0.00010020766,0.00008876864,0.00007354051,0.003377158,0.034773387,0.0004055694,0.008760153,0.04257945,0.00009849981],"about_ca_topic_score_codex":0.99760556,"about_ca_topic_score_gemma":0.99807346,"teacher_disagreement_score":0.077496536,"about_ca_system_score_codex":0.077496536,"about_ca_system_score_gemma":0.062412117,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W1625085981","doi":"10.1089/space.2015.0011","title":"A New Perspective on Innovation in Space and Its Implications on the Tools and Measures Used to Assess the Indirect Impacts of Public Investment in the Space Sector","year":2015,"lang":"en","type":"article","venue":"New Space","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Context (archaeology); Space (punctuation); Government (linguistics); Productivity; Investment (military); Economics; Agency (philosophy); Perspective (graphical); Variety (cybernetics); Public sector; Public economics; Business; Computer science; Political science; Economic growth; Sociology; Economy; Geography","score_opus":0.2826531692409952,"score_gpt":0.30207344307988565,"score_spread":0.019420273838890445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1625085981","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22506787,0.09820919,0.09189104,0.1631058,0.0019516302,0.0002525444,0.0015754821,0.000118026284,0.4178285],"genre_scores_gemma":[0.9419816,0.024703639,0.01790622,0.0030843674,0.00053022825,0.00013496929,0.00014223183,0.000035594803,0.011481118],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98928916,0.0037543376,0.00026573043,0.00062011473,0.0048042806,0.0012663755],"domain_scores_gemma":[0.9695257,0.02042275,0.0021141646,0.0009707084,0.0062709367,0.0006957651],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008999013,0.0010019672,0.00066950935,0.0077472664,0.0034067058,0.011111923,0.0018731422,0.002301991,0.005641652],"category_scores_gemma":[0.014195756,0.00022122014,0.00089880853,0.009076807,0.032140598,0.008462103,0.004808915,0.0032056707,0.00027359748],"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":[0.0000535192,0.00006706144,0.012179084,0.00054183055,0.0000316719,0.00025542005,0.010590544,0.0037880412,0.0008448253,0.9158193,0.003898796,0.051929872],"study_design_scores_gemma":[0.000023058697,0.0003944318,0.07913875,0.002884994,0.00010470697,0.0005440084,0.053893536,0.0066430024,0.0033342228,0.4820834,0.37065926,0.00029673948],"about_ca_topic_score_codex":0.31379563,"about_ca_topic_score_gemma":0.39656493,"teacher_disagreement_score":0.991001,"about_ca_system_score_codex":0.02714206,"about_ca_system_score_gemma":0.014754793,"threshold_uncertainty_score":0.62393826},"labels":[],"label_agreement":null},{"id":"W162648198","doi":"10.1007/0-387-25409-9_15","title":"Establishing Effective Intellectual Property Rights And Reducing Barriers To Entry In Canadian Agricultural Biotechnology Research","year":2006,"lang":"en","type":"book-chapter","venue":"Natural resource management and policy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"University of Saskatchewan","funders":"","keywords":"Intellectual property; Face (sociological concept); Agriculture; Agricultural biotechnology; Business; Law and economics; Public economics; Property rights; Industrial organization; Economics; Political science; Law; Sociology; Social science","score_opus":0.016028077096844194,"score_gpt":0.22792088953515502,"score_spread":0.21189281243831082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W162648198","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.088102385,0.021932965,0.022159928,0.120016314,0.0006683198,0.000509551,0.000732779,0.0003073078,0.7455705],"genre_scores_gemma":[0.79519975,0.013257852,0.016832747,0.009949499,0.0004986876,0.00018814953,0.0005302395,0.000113722024,0.16342938],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.988325,0.0014429764,0.00033053395,0.0005399844,0.004954155,0.004407472],"domain_scores_gemma":[0.97777504,0.008337876,0.0014412225,0.0011888369,0.007694797,0.0035620984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011951651,0.0004167576,0.00051156204,0.004839598,0.00900488,0.011641516,0.002132215,0.004463756,0.008182084],"category_scores_gemma":[0.023459624,0.00047511503,0.00051092054,0.006031252,0.008465128,0.006036205,0.0027028287,0.0035257079,0.0006341384],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068043315,0.00008870629,0.00581784,0.00023865541,0.00001291705,0.00027589258,0.003622789,0.002025387,0.0010404673,0.7955504,0.057179455,0.13407953],"study_design_scores_gemma":[0.00007597634,0.00006673929,0.03995708,0.00093350466,0.00005296245,0.00023273472,0.005170635,0.0046715313,0.0028377157,0.24596158,0.6999003,0.00013915448],"about_ca_topic_score_codex":0.9218475,"about_ca_topic_score_gemma":0.9706203,"teacher_disagreement_score":0.90350807,"about_ca_system_score_codex":0.0964919,"about_ca_system_score_gemma":0.1919837,"threshold_uncertainty_score":0.700101},"labels":[],"label_agreement":null},{"id":"W1642700340","doi":"10.1111/caje.12000","title":"Intellectual property rights as development determinants","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Intellectual property; Endogeneity; Economics; Bayesian probability; Econometrics; Law and economics; Development (topology); Key (lock); Public economics; Computer science; Political science; Law; Mathematics; Computer security; Artificial intelligence","score_opus":0.1284665033105578,"score_gpt":0.16951815711840224,"score_spread":0.041051653807844424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1642700340","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":[0.85446954,0.0035397324,0.055462886,0.006074679,0.00007272433,0.000094799216,0.0011818816,0.00012463439,0.078979075],"genre_scores_gemma":[0.99681586,0.0004124057,0.0008571345,0.000039131617,0.000021348254,0.000010039244,0.000100151905,0.000006169141,0.0017377356],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990694,0.00038429364,0.00004083174,0.00013200296,0.00021994568,0.0001535338],"domain_scores_gemma":[0.9847349,0.0091346195,0.00345804,0.00080406544,0.0012949742,0.0005734692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018105005,0.00023957697,0.00028126474,0.0011268663,0.00025286857,0.0017934956,0.0002825357,0.00038329765,0.0051610037],"category_scores_gemma":[0.010956466,0.000117799165,0.0003469743,0.0009968969,0.0017772956,0.0015614793,0.0011735321,0.0010389853,0.00028216344],"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":[0.00010720249,0.00019733584,0.35965902,0.00025551504,0.00017303659,0.0004934133,0.0005915143,0.069976285,0.0021649038,0.47729287,0.003944034,0.08514491],"study_design_scores_gemma":[0.00003361453,0.00017027066,0.35694382,0.00032122093,0.00019848648,0.00025954857,0.00089389697,0.16454665,0.007517485,0.426946,0.04209664,0.00007236917],"about_ca_topic_score_codex":0.005209795,"about_ca_topic_score_gemma":0.0029653641,"teacher_disagreement_score":0.005209795,"about_ca_system_score_codex":0.0012135694,"about_ca_system_score_gemma":0.0012238736,"threshold_uncertainty_score":0.01726532},"labels":[],"label_agreement":null},{"id":"W1654454686","doi":"10.1016/j.jeca.2012.01.004","title":"Regional Income Convergence in Sweden, 1911-2003: A Time Series Analysis","year":2012,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Economics; Conditional convergence; Convergence (economics); Redistribution (election); Per capita income; Time series; Per capita; Econometrics; Government (linguistics); Macroeconomics; Demographic economics; Mathematics; Statistics; Political science; Demography","score_opus":0.03151491743750502,"score_gpt":0.23438332564874853,"score_spread":0.20286840821124352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1654454686","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":[0.99506736,0.0010321009,0.00014032549,0.00019179725,0.000019492718,0.0000033296405,0.0026761177,0.0000135574355,0.00085594243],"genre_scores_gemma":[0.99197656,0.00084658695,0.00012894145,0.000022797552,0.000029381885,0.000008175817,0.006039274,0.000013384467,0.00093507196],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959344,0.00005750986,0.00005373622,0.000112353955,0.00005693816,0.0001259665],"domain_scores_gemma":[0.9990244,0.00022731083,0.00034763466,0.000053448723,0.00024307946,0.000104095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007648567,0.000386325,0.00066547364,0.002505835,0.00039229824,0.0018630691,0.0005615716,0.00061108836,0.0017609517],"category_scores_gemma":[0.001930982,0.00019971121,0.0012447704,0.004423239,0.00037098664,0.0007918374,0.0011658369,0.00069115707,0.0007716725],"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":[0.0005054415,0.00009338473,0.97274673,0.00012973337,0.0006947201,0.0011402017,0.0020786023,0.0051563564,0.00033384553,0.0011015248,0.0037556998,0.012263667],"study_design_scores_gemma":[0.000008591648,0.000039829803,0.9921977,0.00006940706,0.00017939921,0.00028997211,0.0019376003,0.0014886541,0.00014371947,0.00012637452,0.0035024015,0.0000163634],"about_ca_topic_score_codex":0.06761663,"about_ca_topic_score_gemma":0.065907374,"teacher_disagreement_score":0.06761663,"about_ca_system_score_codex":0.0012201088,"about_ca_system_score_gemma":0.00092479924,"threshold_uncertainty_score":0.13444614},"labels":[],"label_agreement":null},{"id":"W1655755753","doi":"10.2139/ssrn.281529","title":"Absorption Capacity, Structural Similarity and Embodied Technology Spillovers in a 'Macro' Model: An Implementation within the GTAP Framework","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","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":"Impact","funders":"","keywords":"Macro; Embodied cognition; Similarity (geometry); Econometrics; Macro level; Economics; Computer science; Artificial intelligence; Macroeconomics","score_opus":0.023391640379521444,"score_gpt":0.2575575815579998,"score_spread":0.23416594117847836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1655755753","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":[0.18908338,0.0002324827,0.76960844,0.004025925,0.000112545735,0.00008812334,0.00043021856,0.0004225501,0.035996433],"genre_scores_gemma":[0.94337493,0.00023732614,0.048367165,0.00018944564,0.00007646905,0.00016231924,0.00008631585,0.000103875194,0.0074021453],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935347,0.00036322794,0.000025452866,0.00010261008,0.00007003769,0.000085098225],"domain_scores_gemma":[0.9967512,0.0022478064,0.00023050836,0.0002824393,0.00021208225,0.00027596316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001953482,0.00073596236,0.0015958027,0.0008982957,0.0009766509,0.0026759147,0.0028141728,0.003538096,0.008996552],"category_scores_gemma":[0.006751996,0.0006657166,0.0014448514,0.0015646255,0.0024605046,0.0056248647,0.0034153634,0.0021996496,0.00060466613],"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":[0.000041562475,0.000048725517,0.0004931744,0.000040083116,0.00003645984,0.00012927753,0.00017944009,0.38021412,0.00029613997,0.6146129,0.0006924173,0.00321578],"study_design_scores_gemma":[0.000023607656,0.000018590112,0.00013510988,0.0000046377563,0.000017516068,0.000026099662,0.000049898827,0.7577049,0.00006340951,0.24150945,0.00043556574,0.00001117655],"about_ca_topic_score_codex":0.0069983457,"about_ca_topic_score_gemma":0.004084154,"teacher_disagreement_score":0.008996552,"about_ca_system_score_codex":0.0012559682,"about_ca_system_score_gemma":0.0016524924,"threshold_uncertainty_score":0.030096471},"labels":[],"label_agreement":null},{"id":"W1658635941","doi":"10.1198/073500107000000089","title":"The Sensitivity of Productivity Estimates","year":2008,"lang":"en","type":"article","venue":"Journal of Business and Economic Statistics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":135,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Productivity; Econometrics; Nonparametric statistics; Estimation; Economics; Data envelopment analysis; Instrumental variable; Parametric statistics; Productivity model; Total factor productivity; Statistics; Mathematics; Macroeconomics","score_opus":0.030703893834087,"score_gpt":0.21243965132066575,"score_spread":0.18173575748657875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1658635941","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":[0.24325803,0.021096855,0.6229965,0.022221023,0.0029844553,0.0006608216,0.004820805,0.0015227603,0.08043878],"genre_scores_gemma":[0.9552205,0.0034288643,0.033579502,0.002242363,0.0011130364,0.00038684357,0.0015308061,0.00041820048,0.0020797786],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.83794993,0.11171605,0.010852442,0.013399508,0.023049023,0.0030330764],"domain_scores_gemma":[0.25441125,0.6725149,0.021915372,0.036971092,0.01363841,0.00054899056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.12516421,0.0016302561,0.002055651,0.0071259714,0.001217876,0.0077678943,0.0027925887,0.0032899196,0.0046062823],"category_scores_gemma":[0.6191704,0.0011494226,0.0025144098,0.0066633523,0.004519048,0.007271746,0.007896409,0.005076616,0.0014678892],"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":[0.0012912939,0.00020646294,0.26456577,0.0025150487,0.0063549345,0.0012397603,0.0065576504,0.13323684,0.0019581823,0.23197633,0.014489416,0.3356083],"study_design_scores_gemma":[0.0002174121,0.0004309381,0.14536561,0.0025473295,0.001660305,0.0021156566,0.0074570244,0.119256735,0.013041022,0.6416378,0.065752655,0.00051742763],"about_ca_topic_score_codex":0.0031742123,"about_ca_topic_score_gemma":0.00097626855,"teacher_disagreement_score":0.12516421,"about_ca_system_score_codex":0.003130608,"about_ca_system_score_gemma":0.0013263653,"threshold_uncertainty_score":0.6619395},"labels":[],"label_agreement":null},{"id":"W1670147177","doi":"10.1016/j.jeca.2008.02.007","title":"EU Growth, Convergence and the Knowledge Economy: An Empirical Investigation","year":2008,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Economics; Perspective (graphical); Empirical evidence; Growth theory; Empirical research; Knowledge economy; Economic geography; Test (biology); Econometrics; Economy; Economic system; Macroeconomics; Classical economics; Mathematics","score_opus":0.0549897133774522,"score_gpt":0.24872253643179032,"score_spread":0.19373282305433812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1670147177","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":[0.98085815,0.0011368791,0.0005759415,0.0006102003,0.000011348441,0.000010894544,0.00012099822,0.0000094862735,0.016666127],"genre_scores_gemma":[0.99879825,0.00038842787,0.000094560775,0.000033648615,0.000015782316,0.000005288461,0.00012307918,0.000003474885,0.00053751573],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989747,0.00039758027,0.000088882836,0.00013316871,0.00017381946,0.00023192831],"domain_scores_gemma":[0.98163325,0.012692341,0.0029602454,0.0006836229,0.0009952385,0.0010352465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003190869,0.00024138532,0.0008120648,0.0024974642,0.00092670356,0.0049297446,0.00043343974,0.0011971634,0.0050979704],"category_scores_gemma":[0.015314548,0.00011801099,0.00037438443,0.005384915,0.0019446949,0.005487695,0.0031940888,0.001126325,0.00040299832],"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":[0.0018901295,0.0009605782,0.66162825,0.0004984859,0.0003532294,0.0015820336,0.008469332,0.016836759,0.00073805515,0.20308645,0.004360435,0.09959624],"study_design_scores_gemma":[0.00024065554,0.0004809681,0.8034482,0.00079036626,0.0005538589,0.0012023521,0.0404475,0.022915564,0.0015104003,0.10511098,0.023222884,0.000076204706],"about_ca_topic_score_codex":0.004769203,"about_ca_topic_score_gemma":0.0030280696,"teacher_disagreement_score":0.0050979704,"about_ca_system_score_codex":0.0010762336,"about_ca_system_score_gemma":0.0012096,"threshold_uncertainty_score":0.017054379},"labels":[],"label_agreement":null},{"id":"W1673117920","doi":"10.2139/ssrn.1145825","title":"Technological Progress on Consumption Side: Consolidation and Prevalence of Complements","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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 British Columbia; University of British Columbia Hospital","funders":"","keywords":"Consolidation (business); Consumption (sociology); Business; Sociology; Social science; Accounting","score_opus":0.04426233926426001,"score_gpt":0.24920676809455522,"score_spread":0.2049444288302952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1673117920","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":[0.96232015,0.0020322204,0.0034433915,0.00074357924,0.00002745752,0.000032792534,0.0003391937,0.000026482205,0.031034755],"genre_scores_gemma":[0.9966169,0.0009346802,0.0005618989,0.000057346162,0.000037465055,0.000011587773,0.00014176565,0.0000073919123,0.0016309595],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977894,0.0005100816,0.00023566112,0.0005526142,0.0004020078,0.0005102767],"domain_scores_gemma":[0.95843464,0.021381538,0.008882975,0.0051692617,0.003893277,0.0022383034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004245391,0.00032602152,0.0009653382,0.0052543636,0.0010919793,0.0053505213,0.001005941,0.0014165996,0.018238602],"category_scores_gemma":[0.027396664,0.00041737605,0.000588657,0.0066289874,0.0035866974,0.007865316,0.004052721,0.0012237966,0.0010156677],"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":[0.0015323951,0.00041945043,0.48278803,0.00048293232,0.00029787121,0.0010953216,0.0038187297,0.0025767875,0.003377205,0.2893182,0.0026780837,0.21161494],"study_design_scores_gemma":[0.00019363176,0.00094924506,0.51408654,0.0010127173,0.00092435407,0.004662286,0.016848495,0.011809297,0.009367122,0.3949605,0.045051433,0.00013434114],"about_ca_topic_score_codex":0.0017768281,"about_ca_topic_score_gemma":0.0013686807,"teacher_disagreement_score":0.018238602,"about_ca_system_score_codex":0.0011738781,"about_ca_system_score_gemma":0.0013006099,"threshold_uncertainty_score":0.061014235},"labels":[],"label_agreement":null},{"id":"W1674232970","doi":"10.4236/ti.2014.52010","title":"Being Efficient to Stay Strong in a Weak Economy. The Case of Calabrian Manufacturing Firms","year":2014,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Regione Calabria","keywords":"Lagging; Frontier; Production–possibility frontier; Stochastic frontier analysis; Production (economics); Work (physics); Economics; Panel data; Econometrics; Business; Agricultural economics; Macroeconomics; Statistics; Geography; Mathematics; Engineering","score_opus":0.012697492210826602,"score_gpt":0.1992100893138303,"score_spread":0.1865125971030037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1674232970","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":[0.9887726,0.0006834166,0.0024067084,0.0005393407,0.0000045377465,0.000014385284,0.00018286274,0.000006524547,0.0073896507],"genre_scores_gemma":[0.998852,0.000097757526,0.0002374336,0.00002484561,0.0000058856463,0.0000036170893,0.00009512822,0.0000013312696,0.0006820711],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992267,0.00017386216,0.000029677352,0.00018580373,0.0000887174,0.0002952645],"domain_scores_gemma":[0.9955445,0.0011462382,0.0023805427,0.00031488846,0.00025055683,0.0003632637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001511061,0.00021851233,0.00039382442,0.0011068396,0.00044764768,0.0020576261,0.0003942186,0.00059903803,0.0032204445],"category_scores_gemma":[0.0040233512,0.00013789425,0.0004180247,0.00094935956,0.0013784039,0.0009268302,0.0008182965,0.00038508952,0.0002860735],"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":[0.00026658794,0.00015153232,0.86207247,0.00017940522,0.00047295788,0.00200591,0.0012983881,0.024722867,0.0030486833,0.060479555,0.0019520822,0.043349676],"study_design_scores_gemma":[0.000031624415,0.00016960657,0.9653301,0.000053238233,0.00010162153,0.0005156355,0.0023267693,0.012094435,0.0005272677,0.013073282,0.0057567446,0.000019704348],"about_ca_topic_score_codex":0.011551631,"about_ca_topic_score_gemma":0.015570054,"teacher_disagreement_score":0.011551631,"about_ca_system_score_codex":0.0011463293,"about_ca_system_score_gemma":0.00043934403,"threshold_uncertainty_score":0.02296877},"labels":[],"label_agreement":null},{"id":"W1706104683","doi":"","title":"The Return to Investment in Human Capital: The Case of the Value of Educational Attainment beyond the High School Diploma in Canada","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Bachelor; Human capital; Rate of return; Investment (military); Internal rate of return; Census; Demographic economics; Educational attainment; Economics; Value (mathematics); Higher education; Labour economics; Geography; Economic growth; Sociology; Demography; Political science; Finance; Mathematics; Statistics; Production (economics); Microeconomics; Population","score_opus":0.028192291028452204,"score_gpt":0.266180979114385,"score_spread":0.2379886880859328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1706104683","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":[0.95419675,0.006267381,0.0007882128,0.0052773645,0.000033169465,0.00003820612,0.0060537024,0.000041147843,0.027303994],"genre_scores_gemma":[0.99492514,0.0012434386,0.0002112323,0.0000997278,0.000012798155,0.0000052694154,0.0008744408,0.00000901731,0.002618923],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984982,0.000121341116,0.000042116964,0.00014431233,0.0003642211,0.000829818],"domain_scores_gemma":[0.9941186,0.0014039458,0.0011275219,0.00021504004,0.0018873771,0.0012475633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001478494,0.00034745128,0.0006581113,0.0028789095,0.0021704216,0.003975301,0.0015115178,0.0011008228,0.0031149343],"category_scores_gemma":[0.007927426,0.00020902534,0.00084153214,0.0057154107,0.0016080238,0.0009837947,0.0011612605,0.0019362146,0.00022044718],"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":[0.00036710815,0.00009390322,0.8474289,0.00017373655,0.00029367028,0.0013454305,0.001864169,0.031856313,0.0005440592,0.0684413,0.011655465,0.03593599],"study_design_scores_gemma":[0.000047939688,0.000054258944,0.9252144,0.00022384667,0.00026274033,0.00046507237,0.0042677703,0.041432567,0.0005069275,0.012004118,0.015394215,0.00012618663],"about_ca_topic_score_codex":0.9931772,"about_ca_topic_score_gemma":0.9943727,"teacher_disagreement_score":0.056847524,"about_ca_system_score_codex":0.056847524,"about_ca_system_score_gemma":0.027338222,"threshold_uncertainty_score":0.4124596},"labels":[],"label_agreement":null},{"id":"W1709208410","doi":"10.3233/jem-2005-0241","title":"Produced and non-produced inputs: Once and for all?","year":2005,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Economics; Computer science","score_opus":0.09477105678290414,"score_gpt":0.2606698049913153,"score_spread":0.16589874820841116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1709208410","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041336175,0.12549518,0.049372464,0.39957336,0.019587843,0.000067380264,0.0024032989,0.00037195077,0.3617923],"genre_scores_gemma":[0.66417587,0.063759446,0.017834734,0.06637318,0.015018369,0.00019072511,0.0013264857,0.00082711584,0.17049415],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99670726,0.00083833316,0.00021456621,0.00081053044,0.0009571961,0.0004721391],"domain_scores_gemma":[0.9932695,0.0029679644,0.0008794966,0.0011409472,0.0013549497,0.00038715254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029530735,0.0007061973,0.0015633664,0.0019946462,0.0028701103,0.013825363,0.0015278478,0.0047029993,0.020623632],"category_scores_gemma":[0.019169834,0.0004532287,0.00076704717,0.004020845,0.011712958,0.029909058,0.0032981483,0.005334371,0.003482643],"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":[0.00009106601,0.000028288228,0.0015676934,0.00020480221,0.000030417192,0.00014922273,0.0013297059,0.00016662596,0.00013945947,0.9229066,0.02325447,0.05013171],"study_design_scores_gemma":[0.000014389879,0.000024205154,0.0022789408,0.0011239784,0.000035287478,0.00024383962,0.0025565152,0.0003120925,0.0005323991,0.7074361,0.2853954,0.00004692027],"about_ca_topic_score_codex":0.007176923,"about_ca_topic_score_gemma":0.006961069,"teacher_disagreement_score":0.020623632,"about_ca_system_score_codex":0.0042288033,"about_ca_system_score_gemma":0.002626911,"threshold_uncertainty_score":0.06899291},"labels":[],"label_agreement":null},{"id":"W173730730","doi":"","title":"No Miracle: What Asia Can Teach All Countries About Growth by Mitchell Wigdor (review)","year":2013,"lang":"en","type":"article","venue":"Journal of Southeast Asian Economies","topic":"Economic Growth and Productivity","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":"Miracle; Bureaucracy; Economic miracle; Politics; Openness to experience; Economics; Entrepreneurship; Political science; Political economy; Sociology; Law","score_opus":0.012081770925787664,"score_gpt":0.1987104004054559,"score_spread":0.18662862947966824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W173730730","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006270157,0.98175967,0.000051853985,0.013134025,0.003696339,0.000020357014,0.00008195494,0.000010488652,0.0011825786],"genre_scores_gemma":[0.0006869975,0.97626036,0.00014123616,0.01685765,0.0019042386,0.000052082403,0.0001321617,0.000009152108,0.0039560357],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999052,0.00025036954,0.00011480563,0.00012537157,0.00033615355,0.000121301244],"domain_scores_gemma":[0.9973047,0.000891653,0.0005278461,0.00005604758,0.0008458337,0.00037381198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019980178,0.0010988995,0.0015844173,0.0026631851,0.00051939546,0.0030577616,0.0015427521,0.0021154014,0.009313219],"category_scores_gemma":[0.004673417,0.00057894306,0.0012826303,0.0039622947,0.0008646288,0.0042070933,0.001802733,0.0042085517,0.0037198616],"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":[0.00007323451,0.000027354854,0.00026707948,0.023097953,0.00017060775,0.000070127135,0.00018066209,0.000116419615,0.00014871947,0.0018287755,0.6383749,0.33564413],"study_design_scores_gemma":[0.000040090083,0.0000630575,0.0016540977,0.04454646,0.00018561311,0.00027522218,0.00025739128,0.00003939089,0.000077978504,0.001282789,0.9515509,0.00002702578],"about_ca_topic_score_codex":0.0096453605,"about_ca_topic_score_gemma":0.016201846,"teacher_disagreement_score":0.0096453605,"about_ca_system_score_codex":0.0026513,"about_ca_system_score_gemma":0.005333571,"threshold_uncertainty_score":0.031155825},"labels":[],"label_agreement":null},{"id":"W174151028","doi":"","title":"R&D and Merger Profitability","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"University of Ottawa","funders":"","keywords":"Profitability index; Business; Financial system; Industrial organization; Economics; Finance","score_opus":0.012849723665505639,"score_gpt":0.19972133902277708,"score_spread":0.18687161535727145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W174151028","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":[0.98268557,0.0019559485,0.00032294288,0.0023154283,0.0000166922,0.000009759325,0.00021366871,0.00002563796,0.012454389],"genre_scores_gemma":[0.99760854,0.00044676312,0.00006259434,0.00009049865,0.000053607426,0.0000023407883,0.00009749347,0.000004410171,0.0016337311],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921274,0.00029192874,0.000071519346,0.00007992077,0.00012131359,0.00022270167],"domain_scores_gemma":[0.9674077,0.017420935,0.010174075,0.00055351947,0.0012056564,0.0032380337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019720981,0.0001751076,0.00035819443,0.0014091039,0.00056715484,0.0027078227,0.00038589432,0.0016831831,0.010028912],"category_scores_gemma":[0.016307816,0.00023342654,0.00044757006,0.0013505495,0.0009785854,0.0017398039,0.0010388611,0.0013691057,0.001760416],"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":[0.0015975211,0.00054456224,0.94366914,0.00006995805,0.00017159228,0.0010212888,0.00036642328,0.004173715,0.0009052947,0.01706034,0.0030924706,0.027327707],"study_design_scores_gemma":[0.00016343196,0.0005470066,0.955391,0.00007944828,0.00030870407,0.0015866231,0.002089114,0.007195126,0.0011683699,0.026290257,0.0051368903,0.00004411487],"about_ca_topic_score_codex":0.004196902,"about_ca_topic_score_gemma":0.0062441076,"teacher_disagreement_score":0.010028912,"about_ca_system_score_codex":0.0013256157,"about_ca_system_score_gemma":0.0010377206,"threshold_uncertainty_score":0.033550024},"labels":[],"label_agreement":null},{"id":"W1749148628","doi":"10.2139/ssrn.984418","title":"Robust Correlates of County-Level Growth in the U.S.","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","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":"Wilfrid Laurier University","funders":"","keywords":"Econometrics; Statistics; Geography; Mathematics","score_opus":0.030929638117772856,"score_gpt":0.2047787078860059,"score_spread":0.17384906976823306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1749148628","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":[0.9893138,0.00049414526,0.0002055955,0.000800676,0.000026900423,0.000003731957,0.0063779843,0.000021181302,0.0027560221],"genre_scores_gemma":[0.9967145,0.00013963215,0.00007321971,0.000031964908,0.000013203568,0.000004176461,0.0026626643,0.0000062481463,0.00035439353],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971706,0.00007866303,0.00002615616,0.00007150237,0.000037524616,0.00006911444],"domain_scores_gemma":[0.99418503,0.0013288847,0.0020701345,0.00038610064,0.001415749,0.0006141077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047422238,0.000111326386,0.00020032437,0.0011766305,0.00033305198,0.0007121918,0.00021220135,0.00027662405,0.0022812963],"category_scores_gemma":[0.0048366296,0.00009892211,0.0001146126,0.002868683,0.00030288618,0.0003543612,0.0008027997,0.00054034137,0.00049821264],"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":[0.000035946352,0.000014762304,0.9937848,0.0000073071874,0.00003017527,0.000025902524,0.00012149229,0.0002721455,0.000049168044,0.00035848428,0.0031025487,0.002197269],"study_design_scores_gemma":[0.0000015409358,0.0000090630365,0.99829906,0.000007739778,0.0000083763125,0.000017389442,0.0003160933,0.00030413063,0.00003318803,0.00012672093,0.00087483984,0.000001993043],"about_ca_topic_score_codex":0.06653074,"about_ca_topic_score_gemma":0.13003378,"teacher_disagreement_score":0.06653074,"about_ca_system_score_codex":0.00040362522,"about_ca_system_score_gemma":0.00069853954,"threshold_uncertainty_score":0.13228697},"labels":[],"label_agreement":null},{"id":"W1785869789","doi":"10.7202/800625ar","title":"Perspective sur la prospective","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"École Nationale d'Administration Publique","funders":"","keywords":"Perspective (graphical); Positive economics; Epistemology; Politics; Adaptation (eye); Sociology; Political science; Economics; Psychology; Computer science; Law; Philosophy; Artificial intelligence","score_opus":0.03267572206505133,"score_gpt":0.2209947800784268,"score_spread":0.18831905801337545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1785869789","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":[0.0017652106,0.08814708,0.0051223137,0.5107778,0.014284236,0.000019266281,0.00030779478,0.00007657756,0.3794997],"genre_scores_gemma":[0.23436634,0.12919109,0.007181741,0.16919194,0.04687596,0.00018948669,0.000648962,0.00023116292,0.41212338],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99687165,0.001584444,0.00008500549,0.0004979834,0.0006435181,0.00031750984],"domain_scores_gemma":[0.9962374,0.0016617831,0.00021830991,0.00042286713,0.0010662191,0.0003934275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048285965,0.00065287313,0.0006063172,0.0011780378,0.0028953352,0.009386438,0.0010812702,0.006438368,0.02470465],"category_scores_gemma":[0.006982157,0.00020215622,0.0005236184,0.0012273752,0.008022859,0.0072428714,0.0024409078,0.009987992,0.007520672],"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":[0.000016773967,0.000014128856,0.00018926912,0.000062318155,0.0000035983069,0.00006710605,0.0002621469,0.00012639655,0.000051975647,0.9229346,0.060548346,0.015723348],"study_design_scores_gemma":[0.000006571785,0.0000154933,0.00021207621,0.0002582623,0.000002144875,0.00010998331,0.00036623675,0.000115670584,0.000039033483,0.1080584,0.890808,0.000008065153],"about_ca_topic_score_codex":0.010641672,"about_ca_topic_score_gemma":0.008363023,"teacher_disagreement_score":0.02470465,"about_ca_system_score_codex":0.0049753957,"about_ca_system_score_gemma":0.0069773053,"threshold_uncertainty_score":0.08264536},"labels":[],"label_agreement":null},{"id":"W1787944329","doi":"10.3386/w18441","title":"Can't We All Be More Like Scandinavians? Asymmetric Growth and Institutions in an Interdependent World","year":2012,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":101,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Interdependence; Business; Political science; Law","score_opus":0.4624357244591301,"score_gpt":0.4639831394140784,"score_spread":0.0015474149549483118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1787944329","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52801216,0.003560032,0.012213699,0.11308704,0.0005234099,0.000043332097,0.00029704362,0.00006967101,0.3421937],"genre_scores_gemma":[0.98823303,0.0010940133,0.00093992613,0.004461838,0.00005464258,0.000017119799,0.000042729007,0.000017984807,0.005138721],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99835217,0.00069790985,0.00004181993,0.00019956121,0.0001500111,0.00055860507],"domain_scores_gemma":[0.99799794,0.0003381448,0.0006187441,0.00024321442,0.00022139477,0.0005805378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016492011,0.00035520658,0.00048309925,0.0008957172,0.006233075,0.008635851,0.0005875231,0.0027466724,0.005654152],"category_scores_gemma":[0.004042247,0.00026592636,0.0005356631,0.0011568536,0.0090620825,0.0073012332,0.002796848,0.0018867186,0.00085446856],"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":[0.00010027856,0.000069291425,0.010801523,0.000057407036,0.000050602815,0.0005577394,0.0044882884,0.0033164276,0.00031284065,0.95475924,0.0084440075,0.017042356],"study_design_scores_gemma":[0.00008710233,0.00012119354,0.021932976,0.00055141735,0.00006431036,0.0005610146,0.019901013,0.008927729,0.00044056214,0.87591654,0.071377024,0.00011907294],"about_ca_topic_score_codex":0.018530205,"about_ca_topic_score_gemma":0.022990664,"teacher_disagreement_score":0.018530205,"about_ca_system_score_codex":0.0028266045,"about_ca_system_score_gemma":0.0015961985,"threshold_uncertainty_score":0.03684467},"labels":[],"label_agreement":null},{"id":"W1792687395","doi":"10.2139/ssrn.518242","title":"Why Information Should Influence Productivity","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Productivity; Environmental science; Economics; Economic growth","score_opus":0.015486421582008606,"score_gpt":0.2050900789488123,"score_spread":0.18960365736680368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1792687395","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":[0.5216201,0.004574057,0.011221392,0.15884066,0.0014400795,0.00008051949,0.0014200694,0.00038261127,0.30042046],"genre_scores_gemma":[0.9911117,0.0004852127,0.0005802846,0.003089493,0.00035979564,0.000014373979,0.000079729994,0.000043542226,0.0042358926],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972063,0.001115772,0.00009091553,0.000426529,0.0005628841,0.00059764786],"domain_scores_gemma":[0.94878334,0.03575634,0.0037889217,0.0032096414,0.0051564337,0.0033053472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003694836,0.0003505288,0.0004593856,0.0012172717,0.0010649043,0.0052594747,0.0004650304,0.003393318,0.016785033],"category_scores_gemma":[0.04622292,0.00036423415,0.00044517088,0.0015209182,0.002534277,0.0049230335,0.0013990246,0.0024508832,0.0035816382],"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":[0.00236555,0.0010764325,0.20037659,0.0010613885,0.00059709453,0.0017413952,0.008533529,0.007453504,0.0060828156,0.52419907,0.08789589,0.15861677],"study_design_scores_gemma":[0.00034161308,0.00027088946,0.09289676,0.00020633552,0.00024087777,0.00032681366,0.003032061,0.005003247,0.004196975,0.85402393,0.03937271,0.00008778589],"about_ca_topic_score_codex":0.0032681995,"about_ca_topic_score_gemma":0.0015928348,"teacher_disagreement_score":0.016785033,"about_ca_system_score_codex":0.0015362165,"about_ca_system_score_gemma":0.0014991609,"threshold_uncertainty_score":0.05615151},"labels":[],"label_agreement":null},{"id":"W1824266397","doi":"","title":"Endogenous Growth Theory and the Trinidad and Tobago Economy","year":2012,"lang":"en","type":"article","venue":"Caribbean dialogue","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Economy; Affect (linguistics); International trade; Development economics","score_opus":0.030276626333518082,"score_gpt":0.19235089591650548,"score_spread":0.1620742695829874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1824266397","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":[0.361773,0.031863432,0.026779577,0.12261856,0.00054709474,0.00005100006,0.00080969796,0.00022123048,0.45533642],"genre_scores_gemma":[0.96780795,0.0073723965,0.001604179,0.000945334,0.00004536651,0.00003467722,0.00011122944,0.000021030271,0.022057762],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997241,0.000107859494,0.0000057185025,0.000027882186,0.000039346858,0.00009511244],"domain_scores_gemma":[0.9993999,0.00022914262,0.000103920436,0.00004029177,0.00014359124,0.00008321424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083177426,0.00035753872,0.00031537795,0.0012130303,0.0012546136,0.0030577602,0.0005475137,0.00072441803,0.0033083037],"category_scores_gemma":[0.001535521,0.00013361404,0.00023069888,0.0020198182,0.0027047598,0.0011514983,0.0015220693,0.0013113156,0.00016856786],"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":[0.000025428948,0.000019036577,0.0039278883,0.000064318156,0.000013616705,0.00021785335,0.0008709519,0.01883369,0.0001225992,0.9607684,0.0052897544,0.00984662],"study_design_scores_gemma":[0.00004213819,0.000020994552,0.0125650335,0.0004918893,0.000027325139,0.00013194514,0.0050189267,0.039660547,0.00020132553,0.8576098,0.08417932,0.000050825503],"about_ca_topic_score_codex":0.25798264,"about_ca_topic_score_gemma":0.2535899,"teacher_disagreement_score":0.25798264,"about_ca_system_score_codex":0.013595304,"about_ca_system_score_gemma":0.007861313,"threshold_uncertainty_score":0.51296204},"labels":[],"label_agreement":null},{"id":"W1832608369","doi":"10.7202/1027869ar","title":"Patterns of Specialization and (Un)conditional Convergence: The Cases of Brazil, China and India","year":2014,"lang":"en","type":"article","venue":"Management international","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"HEC Montréal; Polytechnique Montréal","funders":"","keywords":"Frontier; Convergence (economics); Conditional convergence; Productivity; China; Measure (data warehouse); Economics; Econometrics; Economic geography; Geography; Macroeconomics; Computer science","score_opus":0.01249231880932893,"score_gpt":0.2083218232373441,"score_spread":0.19582950442801517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1832608369","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":[0.9944351,0.00007863995,0.0005893599,0.00014549446,9.410784e-7,0.000005395201,0.00009172169,0.0000062548315,0.004647061],"genre_scores_gemma":[0.99960464,0.000031540247,0.0001716665,0.0000049890264,7.014841e-7,0.0000024774092,0.00005540868,0.000001961931,0.00012659536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951494,0.00015101912,0.000041230534,0.000059018348,0.000058613598,0.0001751211],"domain_scores_gemma":[0.9950683,0.0017027457,0.0014823029,0.00062842935,0.0007998057,0.00031833645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015864046,0.00011148894,0.00021777023,0.0021078577,0.0006704074,0.0008407331,0.00041886975,0.00029098167,0.0016171195],"category_scores_gemma":[0.006712385,0.00008098933,0.00033648525,0.0028575053,0.0013479205,0.00063138996,0.0014692092,0.0003740571,0.00009282105],"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":[0.0001012085,0.000035073022,0.9373175,0.000042594624,0.000056416495,0.001236267,0.0039379653,0.004679444,0.0008798826,0.034259874,0.00049542723,0.016958402],"study_design_scores_gemma":[0.000012381562,0.000031636362,0.9631031,0.000045592133,0.000057823854,0.0010801235,0.005878124,0.015997242,0.0009879814,0.01071774,0.0020631226,0.000025108184],"about_ca_topic_score_codex":0.038681287,"about_ca_topic_score_gemma":0.046039898,"teacher_disagreement_score":0.038681287,"about_ca_system_score_codex":0.00081538927,"about_ca_system_score_gemma":0.00058578135,"threshold_uncertainty_score":0.076912284},"labels":[],"label_agreement":null},{"id":"W183561658","doi":"10.1007/978-1-4615-1587-6_1","title":"The Emerging Global Knowledge-Based Economy: Trends and Forces","year":2001,"lang":"en","type":"book-chapter","venue":"","topic":"Economic Growth and Productivity","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":"Carleton University; Innovation, Science and Economic Development Canada","funders":"","keywords":"Knowledge economy; Economy; Political science; Regional science; Business; Operations research; Engineering; Knowledge management; Economics; Computer science; Geography","score_opus":0.028522848442505997,"score_gpt":0.2214995714868403,"score_spread":0.1929767230443343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W183561658","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":[0.03445722,0.43510523,0.005649465,0.060782984,0.0023455326,0.000027426813,0.0010578922,0.00018748706,0.46038678],"genre_scores_gemma":[0.31754658,0.5605817,0.0040732026,0.006437887,0.0043611987,0.000040419978,0.0010747964,0.00012869023,0.1057556],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99975497,0.00003468126,0.000012617665,0.000049980183,0.000107327614,0.00004032742],"domain_scores_gemma":[0.99928814,0.00034582536,0.000099562276,0.000034130142,0.00013102537,0.00010134275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050676876,0.00046219365,0.00037690386,0.0021039576,0.00055440323,0.007205114,0.00049679016,0.0011793306,0.0071886135],"category_scores_gemma":[0.0013841254,0.00016907428,0.00020005179,0.009572275,0.002486234,0.009847443,0.0012211598,0.0017741363,0.0013028187],"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":[0.000029124018,0.000037703227,0.0044269287,0.0006007692,0.000017105507,0.0001580153,0.0023299172,0.00059643824,0.00036491943,0.6107281,0.09045218,0.2902589],"study_design_scores_gemma":[0.0000039281276,0.000018045537,0.012831677,0.0007771766,0.00001579228,0.0003839783,0.0034825075,0.0007434087,0.00021237516,0.29859444,0.6829203,0.000016465565],"about_ca_topic_score_codex":0.004812116,"about_ca_topic_score_gemma":0.008783762,"teacher_disagreement_score":0.007205114,"about_ca_system_score_codex":0.0020699657,"about_ca_system_score_gemma":0.0023629195,"threshold_uncertainty_score":0.024048328},"labels":[],"label_agreement":null},{"id":"W1836997478","doi":"10.1596/1813-9450-5300","title":"North-South Trade-Related Technology Diffusion : Virtuous Growth Cycles In Latin America","year":2010,"lang":"en","type":"book","venue":"World Bank eBooks","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Openness to experience; Total factor productivity; Latin Americans; Corporate governance; Virtuous circle and vicious circle; Value (mathematics); Economics; Productivity; Developing country; Development economics; International trade; Political science; Economic growth; Macroeconomics; Statistics; Mathematics","score_opus":0.011961345790978748,"score_gpt":0.176378084584769,"score_spread":0.16441673879379026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1836997478","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95464945,0.0040292,0.0009792142,0.0029389847,0.000013784843,0.000009799699,0.00032044656,0.00004246083,0.037016742],"genre_scores_gemma":[0.9961842,0.0018361986,0.00025606639,0.00011278042,0.000013974931,0.00000658589,0.00013786674,0.000010645111,0.0014416467],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998833,0.00002952392,0.0000063058073,0.000024450947,0.000020900006,0.00003559163],"domain_scores_gemma":[0.9991627,0.00027254602,0.00034383556,0.000048489208,0.00007899579,0.00009342886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004796601,0.00019511038,0.00022127056,0.001293705,0.00033850715,0.0018818321,0.00020372531,0.00035152037,0.0021951443],"category_scores_gemma":[0.0019922063,0.00012461415,0.00039927303,0.0025977965,0.0010758758,0.0012308307,0.0012337221,0.00040684684,0.00012951926],"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":[0.0004619777,0.0001486213,0.6462065,0.00043454077,0.00024389155,0.0016347477,0.008642519,0.03718113,0.0052597364,0.13455665,0.004646711,0.16058312],"study_design_scores_gemma":[0.000075395576,0.00007826303,0.8629749,0.00024928126,0.00010961541,0.00059283304,0.0068213623,0.021341706,0.0018182832,0.06845413,0.03743449,0.00004959552],"about_ca_topic_score_codex":0.024949977,"about_ca_topic_score_gemma":0.016042532,"teacher_disagreement_score":0.024949977,"about_ca_system_score_codex":0.0015588225,"about_ca_system_score_gemma":0.0007763762,"threshold_uncertainty_score":0.049609482},"labels":[],"label_agreement":null},{"id":"W1837493866","doi":"","title":"The Decline of the U.S. Manufacturing: An Explanation from Structural Change","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Economics; Structural change; Argument (complex analysis); Replicate; Sample (material); Balance of trade; Consumption (sociology); Balance (ability); Econometrics; Manufacturing sector; Structural break; International economics; Macroeconomics; Mathematics","score_opus":0.10033788499483601,"score_gpt":0.2931451811964001,"score_spread":0.1928072962015641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1837493866","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":[0.8289874,0.0019965125,0.08767506,0.022961013,0.00017766796,0.00008867548,0.0015634586,0.00028007486,0.056270145],"genre_scores_gemma":[0.9929362,0.00063163834,0.0022458585,0.0003128859,0.0000636439,0.000025102912,0.00027073087,0.000021783555,0.0034921127],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9998872,0.000031298663,0.0000051523866,0.00003155365,0.00001539193,0.000029363702],"domain_scores_gemma":[0.99963474,0.00012857272,0.00010735483,0.000044987413,0.000038577182,0.000045711513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045554337,0.00030372766,0.00030164185,0.00052178575,0.00041863022,0.0008645922,0.00073994405,0.0009022945,0.0072184517],"category_scores_gemma":[0.0016648427,0.000195997,0.0005572012,0.0006315687,0.0009892611,0.001452293,0.0008161293,0.0010983743,0.00056927704],"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":[0.0002161562,0.00021170433,0.07549111,0.00018239528,0.00007998385,0.0010978433,0.001986033,0.224923,0.0023604694,0.62826663,0.010608214,0.05457644],"study_design_scores_gemma":[0.00013095909,0.00019913584,0.051431134,0.000085703105,0.000059750295,0.00037404368,0.0010744208,0.41966367,0.0006124104,0.49927583,0.02705164,0.000041283514],"about_ca_topic_score_codex":0.01322663,"about_ca_topic_score_gemma":0.010616113,"teacher_disagreement_score":0.01322663,"about_ca_system_score_codex":0.0010802421,"about_ca_system_score_gemma":0.00040150323,"threshold_uncertainty_score":0.026299298},"labels":[],"label_agreement":null},{"id":"W1851314633","doi":"10.3386/w8446","title":"Ginis in General Equilibrium: Trade, Technology and Southern Inequality","year":2001,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Wage inequality; Inequality; Economics; Comparative advantage; General equilibrium theory; International economics; Growth model; International trade; Wage; Econometrics; Demographic economics; Labour economics; Macroeconomics; Mathematics","score_opus":0.2668281106998775,"score_gpt":0.41850636785623246,"score_spread":0.15167825715635497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1851314633","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":[0.3314732,0.01072864,0.4381447,0.047260746,0.0006205294,0.00012563515,0.0024077522,0.0008798079,0.16835894],"genre_scores_gemma":[0.965705,0.0036254467,0.0126523385,0.0008510023,0.00038606077,0.000090157744,0.0005891871,0.000118147655,0.01598255],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994337,0.0003330298,0.000009197274,0.000077725876,0.00005297559,0.000093331655],"domain_scores_gemma":[0.9981622,0.001088268,0.0003554421,0.00013083681,0.00012880149,0.00013458703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022267585,0.000485681,0.00090907287,0.0009860825,0.00082378875,0.0022222924,0.00078558695,0.0013866568,0.0117857605],"category_scores_gemma":[0.009276318,0.00026660544,0.00055135135,0.0019002155,0.0022840688,0.0026137063,0.0014062043,0.0015272391,0.0008808236],"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":[0.000036955902,0.00001578851,0.005128444,0.0000464167,0.000034089167,0.00006783955,0.00020540722,0.036165863,0.00014558664,0.93920046,0.00948513,0.009468022],"study_design_scores_gemma":[0.000015743695,0.000009044397,0.0033040135,0.000020768959,0.000008706302,0.00004304512,0.000077273195,0.060889773,0.000059956325,0.9290214,0.0065390156,0.000011090774],"about_ca_topic_score_codex":0.010159583,"about_ca_topic_score_gemma":0.007043356,"teacher_disagreement_score":0.0117857605,"about_ca_system_score_codex":0.0026463405,"about_ca_system_score_gemma":0.0011845445,"threshold_uncertainty_score":0.03942734},"labels":[],"label_agreement":null},{"id":"W1855614604","doi":"","title":"Argentina-Canada from 1870: Explaining the dynamics of divergence","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Per capita; Industrialisation; Divergence (linguistics); Economics; Immigration; Fell; Capital (architecture); Economy; Geography; Development economics; Economic geography; Market economy; Demography; Population","score_opus":0.041071082794752155,"score_gpt":0.25741468851828386,"score_spread":0.2163436057235317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1855614604","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":[0.90920687,0.006251393,0.0019715317,0.008344515,0.00007145161,0.00003099704,0.0022392564,0.00008126242,0.071802765],"genre_scores_gemma":[0.9938074,0.0018594849,0.00040767802,0.00014410594,0.000025003272,0.0000074023656,0.000826923,0.000035745717,0.0028863412],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.999762,0.00003047659,0.000006930786,0.000042629494,0.000049807335,0.00010815085],"domain_scores_gemma":[0.9988689,0.00021036026,0.00018069176,0.00004285891,0.00038994,0.00030725036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007819858,0.00034360075,0.00060110644,0.0017659157,0.0023799932,0.0032425388,0.0006695977,0.0007392506,0.0054507093],"category_scores_gemma":[0.0043256246,0.0001699552,0.0003096301,0.0031319999,0.0018984167,0.0013485652,0.0016693535,0.0015453671,0.00044225893],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000466163,0.00008732403,0.6231241,0.00021557057,0.00012951905,0.0021201435,0.013570776,0.0158351,0.00076791487,0.2517616,0.022901606,0.069020115],"study_design_scores_gemma":[0.00009793492,0.000046932895,0.752896,0.0006307823,0.0001240157,0.00047238634,0.015566919,0.0398054,0.0003693689,0.08757219,0.10230808,0.0001099949],"about_ca_topic_score_codex":0.8744794,"about_ca_topic_score_gemma":0.82748544,"teacher_disagreement_score":0.12552059,"about_ca_system_score_codex":0.014925401,"about_ca_system_score_gemma":0.0075018248,"threshold_uncertainty_score":0.25251955},"labels":[],"label_agreement":null},{"id":"W1855965569","doi":"","title":"Capital Accumulation, Productivity and Growth","year":2005,"lang":"en","type":"article","venue":"Rivista di Politica Economica","topic":"Economic Growth and Productivity","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":"Productivity; Investment (military); Economics; Per capita; Order (exchange); Capital (architecture); Development economics; International economics; Macroeconomics; Geography; Population; Finance","score_opus":0.029355272786329087,"score_gpt":0.23079795319546573,"score_spread":0.20144268040913665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1855965569","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":[0.42803767,0.0475186,0.017313736,0.01744065,0.00046822304,0.00016527394,0.0055603418,0.00038149796,0.483114],"genre_scores_gemma":[0.9640679,0.016416127,0.0011958982,0.00028539303,0.00025230923,0.000040754054,0.001047176,0.000019398416,0.016675048],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956876,0.00005288355,0.00002756613,0.00008810568,0.000089609974,0.00017308607],"domain_scores_gemma":[0.99702674,0.00096592656,0.0010448066,0.00015897257,0.00043271764,0.00037074776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096351805,0.0005630782,0.00035386608,0.002274588,0.00054229994,0.0034773964,0.00033798217,0.0007054806,0.008545526],"category_scores_gemma":[0.0046766014,0.00014181389,0.00029356842,0.003670505,0.0016391004,0.0025018419,0.0011748188,0.0010038242,0.00132966],"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":[0.00020657002,0.0002175746,0.1419044,0.00054910366,0.00020870603,0.0007494453,0.0018656781,0.02174723,0.0006396642,0.63266313,0.023708511,0.17553994],"study_design_scores_gemma":[0.000046180154,0.00016508771,0.20217213,0.0006755427,0.00010314937,0.0005757793,0.0021892302,0.0067885835,0.0013785146,0.620025,0.16580626,0.000074563446],"about_ca_topic_score_codex":0.008858036,"about_ca_topic_score_gemma":0.0045484407,"teacher_disagreement_score":0.008858036,"about_ca_system_score_codex":0.0027242054,"about_ca_system_score_gemma":0.0014208839,"threshold_uncertainty_score":0.02858758},"labels":[],"label_agreement":null},{"id":"W1864388782","doi":"10.3968/j.css.1923669720070306.011","title":"Belgian Economy characteristics and its experiences","year":2010,"lang":"en","type":"article","venue":"Canadian social science","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Diligence; Due diligence; Political science; China; Economy; Humanities; Economics; Art; Law; Philosophy","score_opus":0.019649776127057896,"score_gpt":0.20583315989084336,"score_spread":0.18618338376378546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1864388782","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":[0.77802783,0.0080008665,0.0002944712,0.006869424,0.00020549305,0.00003630504,0.0038786307,0.000056253786,0.20263067],"genre_scores_gemma":[0.95276403,0.0038582298,0.0002621109,0.00058227516,0.000042024985,0.000019893574,0.001114474,0.000034319753,0.041322645],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992212,0.00019138653,0.000026246236,0.00006302453,0.00015455131,0.00034369508],"domain_scores_gemma":[0.9995189,0.000045214278,0.00006985641,0.000010799888,0.00010759492,0.00024773786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050099706,0.0001732842,0.00023535787,0.0010048231,0.0021679797,0.0022889464,0.00024601954,0.00033589455,0.010422714],"category_scores_gemma":[0.00086985755,0.00010902637,0.00013942852,0.0023747233,0.00064077514,0.0005701366,0.00082269986,0.000563908,0.0011358664],"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":[0.0005698278,0.00059335673,0.3994773,0.00084473455,0.00017587193,0.0075974646,0.08770289,0.0025409542,0.003725411,0.09578004,0.16671258,0.2342795],"study_design_scores_gemma":[0.000009327448,0.00006372926,0.33249775,0.00016133215,0.000012196907,0.0010295205,0.0369274,0.00017271512,0.0003965901,0.00037264437,0.628325,0.000031821583],"about_ca_topic_score_codex":0.38045555,"about_ca_topic_score_gemma":0.4415286,"teacher_disagreement_score":0.38045555,"about_ca_system_score_codex":0.0055835675,"about_ca_system_score_gemma":0.0037932661,"threshold_uncertainty_score":0.7564821},"labels":[],"label_agreement":null},{"id":"W1864540761","doi":"10.1016/j.jeca.2009.01.008","title":"The Role of Intangible Capital in Explaining Wage Inequality Between Skilled and Unskilled Workers","year":2009,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Labour economics; Capital (architecture); Production (economics); Wage; Outsourcing; Wage inequality; Inequality; Function (biology); Unit (ring theory); Business; Microeconomics","score_opus":0.01683193330926182,"score_gpt":0.22701829571783638,"score_spread":0.21018636240857455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1864540761","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":[0.99108267,0.00078973983,0.002427431,0.0012688844,0.00004549786,0.000011249209,0.00015865026,0.000009615281,0.004206262],"genre_scores_gemma":[0.9992035,0.00009171941,0.00013363667,0.000031173153,0.000025301404,0.0000026564355,0.00003529334,0.0000022738038,0.00047451176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946874,0.000139798,0.000026659065,0.000064234955,0.00008403135,0.00021653286],"domain_scores_gemma":[0.9907039,0.006461832,0.0010824495,0.0005889145,0.0004073161,0.0007556319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021262404,0.00037423347,0.00046107682,0.0012957619,0.0010241166,0.003171157,0.0011124818,0.0011619466,0.0073268525],"category_scores_gemma":[0.0136199845,0.0002717351,0.0005039565,0.0011804703,0.0016536588,0.0023283404,0.0018834199,0.0018139525,0.0005402736],"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":[0.0007058688,0.00044616516,0.8717062,0.00012216429,0.00020433027,0.00062993215,0.0032490501,0.009599056,0.00078463793,0.07501656,0.0013652829,0.03617086],"study_design_scores_gemma":[0.00012110035,0.00018419183,0.741024,0.00029354272,0.00029214204,0.0003388336,0.0078095933,0.052595902,0.00087204896,0.19234182,0.004070498,0.000056286022],"about_ca_topic_score_codex":0.014398453,"about_ca_topic_score_gemma":0.014321581,"teacher_disagreement_score":0.014398453,"about_ca_system_score_codex":0.0008855467,"about_ca_system_score_gemma":0.000996257,"threshold_uncertainty_score":0.028629303},"labels":[],"label_agreement":null},{"id":"W1864856839","doi":"10.1111/1467-8462.12106","title":"A State‐Space Approach to Australian Gross Domestic Product Measurement","year":2015,"lang":"en","type":"article","venue":"Australian Economic Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"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":"Gross domestic product; Economics; Volatility (finance); Quarter (Canadian coin); Gross domestic income; Headline; Econometrics; Space (punctuation); Product (mathematics); Real gross domestic product; National Income and Product Accounts; National accounts; Agricultural economics; Macroeconomics; Public economics; Geography; Gross income; Mathematics; Business; Computer science; Advertising","score_opus":0.17742951718196265,"score_gpt":0.29240588050211513,"score_spread":0.11497636332015249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1864856839","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":[0.27904487,0.0013495339,0.6672054,0.002530084,0.00033478378,0.0003707168,0.014475996,0.00070607825,0.033982523],"genre_scores_gemma":[0.9268529,0.0008007098,0.061330836,0.00013642132,0.00007770762,0.0004390504,0.004698582,0.000042778483,0.005621113],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963128,0.0019472821,0.00026285765,0.00046377798,0.0009032798,0.00011001955],"domain_scores_gemma":[0.99339676,0.002724174,0.0012106907,0.00080438313,0.0017626738,0.00010114556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042523067,0.00039109233,0.0005541198,0.0029667064,0.00049038994,0.002121511,0.00087566505,0.00044510385,0.0037591942],"category_scores_gemma":[0.015534706,0.00038489263,0.0007672006,0.0054722764,0.00076992076,0.0013589996,0.0016482658,0.0013662253,0.0005530181],"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":[0.0002114277,0.00028522496,0.15038304,0.0006130885,0.00074909715,0.00027929,0.0032687187,0.25539607,0.0017947076,0.28699064,0.018004,0.2820246],"study_design_scores_gemma":[0.0000268876,0.00025364352,0.17592773,0.00021003876,0.00016126328,0.00009449788,0.0008040689,0.6218981,0.0018063381,0.14818719,0.050483033,0.00014715013],"about_ca_topic_score_codex":0.0543511,"about_ca_topic_score_gemma":0.02552323,"teacher_disagreement_score":0.0543511,"about_ca_system_score_codex":0.001997955,"about_ca_system_score_gemma":0.0018506416,"threshold_uncertainty_score":0.10806948},"labels":[],"label_agreement":null},{"id":"W1877402909","doi":"10.11564/26-2-211","title":"Demographic transition, demographic dividendand economic growth in Nigeria","year":2012,"lang":"en","type":"article","venue":"African Population Studies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Demographic dividend; Demographic transition; Dividend; Demographic change; Geography; Demographics; Per capita; Population; Economics; Demography; Fertility; Sociology; Finance","score_opus":0.04194772909176457,"score_gpt":0.24714119815850416,"score_spread":0.20519346906673958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1877402909","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":[0.990484,0.0002364415,0.0009849898,0.00022141913,0.000018200357,0.000019807769,0.00030726058,0.000007984605,0.007719953],"genre_scores_gemma":[0.9980566,0.00023349955,0.00038422947,0.000013361361,0.0000015091603,0.000014514705,0.00013745006,0.0000019550218,0.0011568618],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99991727,0.000028385313,0.0000041181547,0.000009055591,0.0000093625185,0.000031669097],"domain_scores_gemma":[0.99987507,0.000046911977,0.000026745167,0.000006808531,0.000020233896,0.000024181008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029469654,0.00016149621,0.00013655359,0.00019963887,0.00040127157,0.0007961345,0.00016514322,0.00033203844,0.0031340297],"category_scores_gemma":[0.0007047753,0.00011665663,0.0002523154,0.0002919487,0.0003018369,0.00069869595,0.0005546266,0.00036430135,0.00014829719],"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":[0.00060267025,0.00031012154,0.34313446,0.00014835742,0.000057377278,0.0014179854,0.0012897779,0.59402347,0.002029895,0.03058994,0.0022083037,0.02418765],"study_design_scores_gemma":[0.00020062775,0.0008236059,0.30909652,0.00041734334,0.0001115612,0.0007734014,0.012244547,0.62534416,0.0029810742,0.02296325,0.024924602,0.000119252574],"about_ca_topic_score_codex":0.026620023,"about_ca_topic_score_gemma":0.03624345,"teacher_disagreement_score":0.026620023,"about_ca_system_score_codex":0.0011413917,"about_ca_system_score_gemma":0.0011650665,"threshold_uncertainty_score":0.052930176},"labels":[],"label_agreement":null},{"id":"W188558145","doi":"","title":"Creative Destruction and Globalization","year":2003,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":31,"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":"Prosperity; Globalization; Clothing; Productivity; Economics; Quarter (Canadian coin); Labour economics; Business; Economy; Market economy; Economic growth; Political science; Geography","score_opus":0.022365434177410017,"score_gpt":0.19941114639208993,"score_spread":0.1770457122146799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W188558145","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":[0.049278356,0.040204894,0.0036062778,0.041680463,0.0015567862,0.000047334463,0.000066571105,0.0000851563,0.86347413],"genre_scores_gemma":[0.886983,0.02239104,0.0016762653,0.010042621,0.0016662116,0.00009055463,0.00008237336,0.00007970335,0.076988325],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99815255,0.0006984537,0.00007423654,0.00033692157,0.00029786423,0.0004399655],"domain_scores_gemma":[0.9981382,0.0005627687,0.0003560962,0.0002991176,0.00017628913,0.00046749273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00216964,0.0006702416,0.0004288811,0.0016249137,0.0056728716,0.010524642,0.0007327271,0.0025592234,0.013720674],"category_scores_gemma":[0.00274217,0.00021537038,0.0004919417,0.0015310607,0.03423938,0.006725187,0.008048686,0.0032542865,0.001324145],"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":[0.000026634265,0.000041234805,0.0013062339,0.00011752945,0.000011200186,0.0002912215,0.015264646,0.00016405962,0.00014807154,0.9393449,0.014621603,0.028662615],"study_design_scores_gemma":[0.000039585582,0.00004227077,0.002915033,0.00037010582,0.000009391611,0.0007987053,0.010097405,0.0001589187,0.00023756697,0.5768993,0.40840942,0.000022216767],"about_ca_topic_score_codex":0.0012612921,"about_ca_topic_score_gemma":0.0013746251,"teacher_disagreement_score":0.013720674,"about_ca_system_score_codex":0.0037216803,"about_ca_system_score_gemma":0.0019323225,"threshold_uncertainty_score":0.045900166},"labels":[],"label_agreement":null},{"id":"W1895198374","doi":"10.7202/704163ar","title":"SIMON, Julian L. (dir.). The Economies of Population : Classic Writings. New Brunswick, Transaction Publishers, 1998, 252 p.","year":2000,"lang":"fr","type":"article","venue":"Études internationales","topic":"Economic Growth and Productivity","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":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Database transaction; Population; Political science; Economy; Humanities; Economic history; Economics; Demography; Sociology; Art; Database; Computer science","score_opus":0.023540218507271227,"score_gpt":0.21843062646709283,"score_spread":0.1948904079598216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1895198374","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017374905,0.9539005,0.001153946,0.022203164,0.0074494584,0.000014455681,0.00085437467,0.00007678705,0.014173591],"genre_scores_gemma":[0.005351168,0.93356353,0.0019979938,0.003860357,0.0059798076,0.00005395522,0.0006936857,0.0001561757,0.048343338],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99828666,0.00033304916,0.0002708856,0.00027240315,0.00071358844,0.00012346628],"domain_scores_gemma":[0.9967045,0.0014789335,0.00043161414,0.0000988779,0.0010323902,0.00025363127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024743858,0.0035426614,0.002269703,0.011048127,0.0017340636,0.004251243,0.0014981027,0.0033982494,0.033180565],"category_scores_gemma":[0.0050968914,0.0014953492,0.001067854,0.016613662,0.003600353,0.0076422677,0.0014555848,0.0053552995,0.03130207],"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":[0.00003908376,0.000008139731,0.00020812321,0.0008956447,0.00002294014,0.000081416154,0.0003746718,0.0001605873,0.00009936681,0.0121959075,0.89137197,0.094542086],"study_design_scores_gemma":[0.000009559786,0.0000123006475,0.0010310012,0.00079306116,0.000016578004,0.00027435442,0.00026415725,0.000043925724,0.00012424067,0.01048078,0.98692375,0.000026356023],"about_ca_topic_score_codex":0.04708285,"about_ca_topic_score_gemma":0.08016136,"teacher_disagreement_score":0.04708285,"about_ca_system_score_codex":0.00679967,"about_ca_system_score_gemma":0.0045114155,"threshold_uncertainty_score":0.11100006},"labels":[],"label_agreement":null},{"id":"W1899180799","doi":"10.1111/ectj.12030","title":"Point-optimal panel unit root tests with serially correlated errors","year":2014,"lang":"en","type":"article","venue":"Econometrics Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"Social Sciences and Humanities Research Council of Canada; National Science Foundation","keywords":"Unit root; Statistic; Statistics; Variance (accounting); Centring; Mathematics; Point (geometry); Econometrics; Engineering; Economics","score_opus":0.050886664013331306,"score_gpt":0.20681740312239974,"score_spread":0.15593073910906843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1899180799","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":[0.22354877,0.0006301507,0.76152873,0.00080847234,0.00021731076,0.00028765784,0.001916186,0.0007801541,0.010282563],"genre_scores_gemma":[0.92488134,0.0004054704,0.0695383,0.0002740429,0.0002983,0.00039602423,0.0017582128,0.00017902224,0.0022692461],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.96782345,0.022076651,0.0018951942,0.0031779297,0.0037712622,0.0012554453],"domain_scores_gemma":[0.762541,0.2001524,0.014110048,0.015967302,0.005846052,0.0013831377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024588889,0.0007899921,0.002492505,0.0027473792,0.000574087,0.0021171968,0.0027624443,0.0018813673,0.009050221],"category_scores_gemma":[0.18596135,0.00083204097,0.0016557769,0.0040831105,0.0017740958,0.0044507687,0.0032364356,0.0028572513,0.0014373001],"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":[0.0020478056,0.00053741276,0.086917244,0.0005967643,0.0026415237,0.0021148196,0.0010172372,0.21169387,0.0032099287,0.36448756,0.014451174,0.31028464],"study_design_scores_gemma":[0.0004486495,0.00070317823,0.038670734,0.00009813035,0.00027751955,0.0003486786,0.0004885614,0.480455,0.0030225313,0.47071168,0.0046177898,0.00015754833],"about_ca_topic_score_codex":0.0009755958,"about_ca_topic_score_gemma":0.00074855675,"teacher_disagreement_score":0.024588889,"about_ca_system_score_codex":0.0006382521,"about_ca_system_score_gemma":0.001866266,"threshold_uncertainty_score":0.13003999},"labels":[],"label_agreement":null},{"id":"W190144717","doi":"","title":"IT, Production Specialization, and Division of Labor: A Smith-Ricardo Model of International Trade","year":2003,"lang":"en","type":"article","venue":"Carleton University's Institutional Repository (MacOdrum Library, Carleton University)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Division of labour; Economics; Production (economics); Comparative advantage; Margin (machine learning); Division (mathematics); Neoclassical economics; International trade; Labour economics; Microeconomics; Market economy; Computer science","score_opus":0.013620408606200046,"score_gpt":0.16249125671666717,"score_spread":0.14887084811046714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W190144717","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":[0.15957162,0.011452869,0.23084877,0.11726189,0.0007117555,0.00020988878,0.0020778782,0.0005237286,0.47734156],"genre_scores_gemma":[0.8750829,0.011339364,0.014503635,0.0024680288,0.0008217212,0.00017299694,0.00047676693,0.00014218848,0.09499242],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993655,0.00025766142,0.000020796197,0.00012390965,0.000077638346,0.00015440185],"domain_scores_gemma":[0.99855524,0.00068738515,0.00025652463,0.00010818341,0.00019176453,0.00020091499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015644341,0.0009488645,0.0012186129,0.0014610793,0.0012017665,0.004624215,0.0019988841,0.004307917,0.026162384],"category_scores_gemma":[0.003260884,0.0006906491,0.0017466263,0.0030902664,0.0030013581,0.0070019187,0.0017407717,0.0027525523,0.0027134689],"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":[0.00003301631,0.000022870208,0.0004061916,0.00004144626,0.000014776569,0.000116153155,0.0001843178,0.06344858,0.00009676503,0.92342573,0.007143865,0.0050662775],"study_design_scores_gemma":[0.000056506124,0.000027873739,0.0005368504,0.00006480418,0.00003536768,0.00009331731,0.00018376521,0.087100156,0.000093791066,0.89381105,0.01796721,0.00002921597],"about_ca_topic_score_codex":0.025803816,"about_ca_topic_score_gemma":0.012466396,"teacher_disagreement_score":0.026162384,"about_ca_system_score_codex":0.0067602512,"about_ca_system_score_gemma":0.0025649555,"threshold_uncertainty_score":0.08752191},"labels":[],"label_agreement":null},{"id":"W1911348734","doi":"10.3968/7552","title":"Observing the Economic Development Trend in China from a Comparative Analysis of Western Economics and Political Economics","year":2015,"lang":"en","type":"article","venue":"Canadian social science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mainstream economics; Economics; Enthusiasm; Production (economics); China; Profit maximization; Productivity; Profit (economics); Politics; Human development theory; Heterodox economics; Mainstream; Economic system; Schools of economic thought; Neoclassical economics; Applied economics; Economic growth; Political science; Microeconomics","score_opus":0.07010663974359758,"score_gpt":0.2513538388505211,"score_spread":0.1812471991069235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1911348734","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":[0.9016466,0.010604288,0.001861572,0.0057618925,0.000085147454,0.000027912982,0.0004830331,0.000033317967,0.07949633],"genre_scores_gemma":[0.9899384,0.0051896838,0.0004910125,0.00017728457,0.000051205025,0.000008526816,0.00019020548,0.0000036019244,0.0039499765],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998418,0.000027572398,0.0000084597,0.000021486125,0.000053575113,0.000047171015],"domain_scores_gemma":[0.99983263,0.00003276972,0.00004318671,0.000009962084,0.000054022472,0.00002743104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003475992,0.00017177126,0.0001518622,0.0035970055,0.0007423646,0.0010433174,0.00012459395,0.000188211,0.0016242919],"category_scores_gemma":[0.00039513194,0.00007331207,0.00017225494,0.0064419494,0.000768458,0.0011587347,0.0004545106,0.00027198496,0.00007103349],"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":[0.00009263295,0.000054103115,0.3583348,0.000500594,0.0001299635,0.0019900408,0.011128317,0.0049176095,0.002509701,0.4396297,0.010312024,0.17040056],"study_design_scores_gemma":[0.000009126429,0.000043187625,0.90593004,0.00010857233,0.000048786125,0.00019081004,0.0045243027,0.003993157,0.00049022,0.014375647,0.07026178,0.000024250448],"about_ca_topic_score_codex":0.07930332,"about_ca_topic_score_gemma":0.13147186,"teacher_disagreement_score":0.07930332,"about_ca_system_score_codex":0.0033314088,"about_ca_system_score_gemma":0.0022618629,"threshold_uncertainty_score":0.15768343},"labels":[],"label_agreement":null},{"id":"W1919119466","doi":"","title":"Qu'est-il advenu de la croissance economique et de la productivite au Canada et aux Etats-Unis a l'ere de l'information?","year":2004,"lang":"fr","type":"article","venue":"Revue économique de l OCDE","topic":"Economic Growth and Productivity","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":"Political science; Humanities; Philosophy","score_opus":0.015175635199886406,"score_gpt":0.22961337202765797,"score_spread":0.21443773682777156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1919119466","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":[0.3483645,0.07328939,0.018219082,0.16251473,0.0011210087,0.00014746767,0.0061776456,0.0004381478,0.389728],"genre_scores_gemma":[0.8908658,0.03709288,0.0068233847,0.0060457517,0.00034863548,0.00006851511,0.0011418299,0.00011237951,0.057500847],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9963109,0.00032183147,0.00007695875,0.000519223,0.0017085047,0.0010625592],"domain_scores_gemma":[0.9878704,0.0026331914,0.0015903524,0.0006419691,0.0059349732,0.0013291668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032294146,0.0005250819,0.00093064504,0.0042248718,0.0048290873,0.011288186,0.001021602,0.001764248,0.012478782],"category_scores_gemma":[0.014078347,0.00039726574,0.0008929797,0.008376345,0.006379232,0.0053962865,0.0017868103,0.0032218853,0.0012939114],"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":[0.00046148064,0.00014200264,0.1536049,0.0009947722,0.00037883982,0.00045363337,0.010427736,0.0027405794,0.0024321896,0.51733667,0.029039692,0.28198743],"study_design_scores_gemma":[0.00006732876,0.0001647904,0.42200416,0.0017534404,0.00031396584,0.00037672775,0.013625916,0.0025220036,0.004692405,0.078146756,0.47609395,0.00023855736],"about_ca_topic_score_codex":0.8992808,"about_ca_topic_score_gemma":0.93035686,"teacher_disagreement_score":0.10071921,"about_ca_system_score_codex":0.0417193,"about_ca_system_score_gemma":0.05087712,"threshold_uncertainty_score":0.30269617},"labels":[],"label_agreement":null},{"id":"W1920367837","doi":"10.3386/w18901","title":"The Great Reversal in the Demand for Skill and Cognitive Tasks","year":2013,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":216,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; York University; Social Sciences and Humanities Research Council; University of British Columbia","funders":"York University","keywords":"Stock (firearms); Supply and demand; Cognition; Order (exchange); Cognitive skill; Labour economics; Economics; Psychology; Microeconomics; Engineering","score_opus":0.31124586998725473,"score_gpt":0.447176288393309,"score_spread":0.13593041840605424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1920367837","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":[0.91541404,0.0050321673,0.0019050653,0.05090718,0.00016165174,0.000013601923,0.003901715,0.000050127113,0.022614498],"genre_scores_gemma":[0.99006236,0.0026123372,0.00044557304,0.0027991952,0.00022166963,0.000008500748,0.0012376503,0.000015691343,0.0025969555],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996232,0.000037570146,0.000021211306,0.000093370625,0.00011452845,0.000110079505],"domain_scores_gemma":[0.99809235,0.00048342528,0.0006920816,0.00014437395,0.0003380191,0.00024968528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007434577,0.0001362777,0.00030753485,0.0011832189,0.0004594095,0.0011964884,0.00048577916,0.0010394853,0.00631315],"category_scores_gemma":[0.0036784094,0.0002306096,0.00035378296,0.0020540378,0.0010344663,0.0015244212,0.00076759036,0.0014530704,0.0009873168],"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":[0.00018571888,0.00015951262,0.836003,0.00024219722,0.000087405875,0.00030730857,0.0020387808,0.0011058362,0.0020981994,0.024615616,0.017059175,0.11609722],"study_design_scores_gemma":[0.00000869513,0.000041420124,0.97607034,0.00008162576,0.000015579917,0.00023958247,0.0017639399,0.0008654668,0.00027957666,0.006601588,0.014014172,0.000017952701],"about_ca_topic_score_codex":0.035257533,"about_ca_topic_score_gemma":0.051953986,"teacher_disagreement_score":0.035257533,"about_ca_system_score_codex":0.0009696328,"about_ca_system_score_gemma":0.0008867368,"threshold_uncertainty_score":0.0701046},"labels":[],"label_agreement":null},{"id":"W1922668023","doi":"10.1111/j.1540-5982.2009.01543.x","title":"Heterogeneous ideas production and endogenous growth: an empirical investigation","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Endogeneity; Productivity; Production (economics); Economics; Endogenous growth theory; Knowledge production; Panel data; Empirical evidence; Set (abstract data type); Endogeny; Economic geography; Macroeconomics; Public economics; Econometrics; Human capital; Economic growth; Computer science","score_opus":0.18125070221040332,"score_gpt":0.1941540395494365,"score_spread":0.012903337339033177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1922668023","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":[0.9949386,0.00050801923,0.0012703261,0.00027236142,0.0000049878604,0.000018885863,0.00056033273,0.000019826994,0.0024066032],"genre_scores_gemma":[0.99895763,0.00022508074,0.00017479375,0.000019471081,0.000011435733,0.000010117352,0.00035642966,0.0000028839374,0.00024204171],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989845,0.00047445146,0.000050975847,0.00014630664,0.00013929173,0.0002043687],"domain_scores_gemma":[0.9638253,0.027859539,0.005287575,0.0013979367,0.0007239962,0.00090567477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032104845,0.00037323585,0.000796232,0.0029148601,0.0007059947,0.0028628716,0.00062666374,0.0006891329,0.003998189],"category_scores_gemma":[0.013414251,0.00023643454,0.0007093043,0.0038589672,0.0016443885,0.0015477777,0.0016389561,0.001097698,0.00034997336],"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":[0.00032171616,0.0003121709,0.9344279,0.000096338474,0.00031656382,0.00093737355,0.00068033405,0.033505026,0.00040764565,0.011174254,0.0009966653,0.016823983],"study_design_scores_gemma":[0.00021902568,0.00030788113,0.8592612,0.00011335823,0.00031898002,0.00048468154,0.0038925018,0.105064526,0.0016301891,0.023065787,0.005553428,0.00008836746],"about_ca_topic_score_codex":0.0127369175,"about_ca_topic_score_gemma":0.0053846342,"teacher_disagreement_score":0.0127369175,"about_ca_system_score_codex":0.0011972539,"about_ca_system_score_gemma":0.0007098081,"threshold_uncertainty_score":0.025325537},"labels":[],"label_agreement":null},{"id":"W1924019861","doi":"","title":"Geography, population density, and per-capita income gaps across US states and Canadian provinces","year":2005,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"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":"Endogeneity; Per capita income; Per capita; Geography; Instrumental variable; Ordinary least squares; Population; Demographic economics; Population density; Economics; Development economics; Demography; Econometrics; Sociology","score_opus":0.013045660461315091,"score_gpt":0.19335399645357138,"score_spread":0.1803083359922563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1924019861","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":[0.9671428,0.0013094995,0.0002406971,0.0012519893,0.000018134711,0.000029342827,0.015310002,0.000041703614,0.014655773],"genre_scores_gemma":[0.99224263,0.00058434485,0.00015619381,0.000051729763,0.0000045970737,0.000008676727,0.0051630726,0.000008129332,0.0017805262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915576,0.000055369113,0.000047970647,0.000116159244,0.00023757693,0.00038713508],"domain_scores_gemma":[0.99577636,0.0005716555,0.00071628153,0.00025197258,0.0019797585,0.0007040041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095414114,0.00028280038,0.0005715572,0.0031901943,0.0022773587,0.0018055007,0.0012191584,0.00030394492,0.005413204],"category_scores_gemma":[0.00568312,0.00024350783,0.0006509651,0.007639581,0.0010934711,0.0006149787,0.001430833,0.0005722612,0.00028216856],"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":[0.000102883925,0.000026135622,0.97751766,0.00005381001,0.00014162023,0.00009065492,0.0012214123,0.0025375532,0.00009960361,0.0047155926,0.0052926056,0.008200354],"study_design_scores_gemma":[0.000010145681,0.000006610974,0.99253815,0.00005073523,0.000052293948,0.000030958123,0.0017960871,0.001759652,0.00007154316,0.0004650506,0.0032024337,0.00001632558],"about_ca_topic_score_codex":0.9963308,"about_ca_topic_score_gemma":0.9971204,"teacher_disagreement_score":0.018169673,"about_ca_system_score_codex":0.018169673,"about_ca_system_score_gemma":0.021562042,"threshold_uncertainty_score":0.13183081},"labels":[],"label_agreement":null},{"id":"W1935550996","doi":"10.1111/j.1536-7150.2006.00469.x","title":"Reconciling Gray and Hotelling","year":2006,"lang":"en","type":"article","venue":"American Journal of Economics and Sociology","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Gray (unit); Economics; Scarcity; Microeconomics; Resource (disambiguation); Value (mathematics); Econometrics; Mathematics; Computer science; Statistics","score_opus":0.020322084150570786,"score_gpt":0.20188713985591428,"score_spread":0.18156505570534348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1935550996","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":[0.31562635,0.0077506993,0.30780253,0.059505332,0.001473254,0.000112990674,0.0012581043,0.0004084886,0.30606225],"genre_scores_gemma":[0.96837944,0.0011194783,0.011287078,0.0037401202,0.00021705906,0.00004079205,0.00013731454,0.000054344262,0.015024457],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99868757,0.0004033098,0.000073375,0.00034434575,0.000291271,0.0002000773],"domain_scores_gemma":[0.99543685,0.0019077401,0.0006543183,0.0008758602,0.000683449,0.00044180977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023012978,0.00042733437,0.0008310379,0.0009374182,0.0008571845,0.0021278295,0.0009669615,0.0011067822,0.008454129],"category_scores_gemma":[0.01056335,0.00023952559,0.0010304434,0.0007800828,0.0026677803,0.002879094,0.0030152877,0.0015240998,0.00072995777],"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":[0.00003980028,0.000024271743,0.0023104171,0.00005959763,0.000029221243,0.00021570522,0.0002839364,0.004476008,0.00011688363,0.9728812,0.0053478335,0.0142151015],"study_design_scores_gemma":[0.000010063058,0.000025735497,0.0018726893,0.000044129614,0.000012726103,0.00022309812,0.00022386987,0.0149882315,0.00018480374,0.96668553,0.015709704,0.000019462777],"about_ca_topic_score_codex":0.0066206534,"about_ca_topic_score_gemma":0.006583996,"teacher_disagreement_score":0.008454129,"about_ca_system_score_codex":0.0021935345,"about_ca_system_score_gemma":0.0017583586,"threshold_uncertainty_score":0.028281808},"labels":[],"label_agreement":null},{"id":"W1940462801","doi":"","title":"A Model of R&D Capitalization","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Aboriginal Affairs Northern Dev Canada; University of Ottawa","funders":"","keywords":"Capitalization; Incentive; Economics; Business; Market capitalization; Microeconomics; Industrial organization","score_opus":0.07202211324628198,"score_gpt":0.28449551909478393,"score_spread":0.21247340584850194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1940462801","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":[0.11516044,0.0047819396,0.4663173,0.013656761,0.00057082827,0.00085453835,0.0063208593,0.0018748057,0.3904625],"genre_scores_gemma":[0.6821316,0.0048163896,0.0390164,0.0007440954,0.0004343529,0.00076695974,0.0016844197,0.0002551703,0.27015054],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998013,0.00048096373,0.00008829475,0.00055269414,0.00035266808,0.0005123354],"domain_scores_gemma":[0.9976962,0.0009264655,0.0003757553,0.00028468863,0.0002503409,0.00046650582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017662671,0.0019048768,0.0020549607,0.0018318676,0.0015128115,0.00661267,0.004393227,0.005887942,0.053101107],"category_scores_gemma":[0.003628973,0.0012967286,0.0025390936,0.003659963,0.0025355371,0.006747316,0.0021714587,0.0028529752,0.0079826955],"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":[0.00025092147,0.00020721534,0.00087309256,0.000191416,0.00006632177,0.0006862079,0.0001742153,0.26862115,0.0015443314,0.707484,0.005873613,0.014027506],"study_design_scores_gemma":[0.0006775245,0.00034405597,0.0011806055,0.00009462518,0.00011395344,0.00064546097,0.00013631524,0.47066635,0.0012683423,0.46420774,0.060532805,0.00013229677],"about_ca_topic_score_codex":0.010495843,"about_ca_topic_score_gemma":0.0044617644,"teacher_disagreement_score":0.053101107,"about_ca_system_score_codex":0.004844099,"about_ca_system_score_gemma":0.0032178513,"threshold_uncertainty_score":0.17764091},"labels":[],"label_agreement":null},{"id":"W1942051761","doi":"10.1111/j.1540-5982.2009.01517.x","title":"Fertility and the real exchange rate","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fertility; Depreciation (economics); Economics; Exchange rate; Total fertility rate; Econometrics; Monetary economics; Demography; Population; Research methodology; Microeconomics; Family planning","score_opus":0.11935025808100579,"score_gpt":0.1731830407902609,"score_spread":0.05383278270925511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1942051761","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":[0.9620109,0.0031946623,0.0013017203,0.00076071016,0.000047457135,0.000022883209,0.0274122,0.00003755164,0.0052118963],"genre_scores_gemma":[0.9867057,0.0007047011,0.00029177906,0.0000409958,0.000032486747,0.000013177256,0.011385307,0.0000041940157,0.00082173845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938583,0.000228754,0.00007462088,0.00009727461,0.00013891896,0.0000745927],"domain_scores_gemma":[0.9860746,0.004461777,0.0071417955,0.0006176151,0.0012972327,0.00040688433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019844426,0.00015774717,0.00034743623,0.0019482948,0.000232273,0.00094809505,0.00028947752,0.0002472027,0.0032305077],"category_scores_gemma":[0.010313672,0.00014599379,0.00023299675,0.0025351462,0.00036940066,0.00043392382,0.00043283773,0.000548034,0.0004924419],"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":[0.00008767896,0.0000244062,0.97800475,0.00009806448,0.00017207456,0.00014907286,0.00023817708,0.006479105,0.00009212745,0.0029457738,0.0029411633,0.008767637],"study_design_scores_gemma":[0.000030912597,0.000062610816,0.98032755,0.00009171574,0.000055388125,0.00022328782,0.00046642436,0.0042896327,0.0003180765,0.0011635877,0.012943728,0.000027109181],"about_ca_topic_score_codex":0.024035228,"about_ca_topic_score_gemma":0.015978709,"teacher_disagreement_score":0.024035228,"about_ca_system_score_codex":0.0005528308,"about_ca_system_score_gemma":0.0004448818,"threshold_uncertainty_score":0.047790647},"labels":[],"label_agreement":null},{"id":"W1947795745","doi":"10.1111/j.1540-5982.2011.01640.x","title":"Returns to scale: concept, estimation and analysis of Japan's turbulent 1964-88 economy","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta; University of British Columbia","funders":"","keywords":"Estimation; Scale (ratio); Economics; Turbulence; Econometrics; Economy; Geography; Management; Meteorology; Cartography","score_opus":0.11311175425502902,"score_gpt":0.17691420111947959,"score_spread":0.06380244686445057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1947795745","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":[0.9701652,0.00016503125,0.026628688,0.00014775089,0.0000059346944,0.000020054003,0.00015588736,0.00005225877,0.002659189],"genre_scores_gemma":[0.9951462,0.000099188095,0.004103443,0.000006665906,0.000005882428,0.000014136426,0.00015270164,0.000009676588,0.00046207476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997578,0.00007633615,0.0000199168,0.000050427694,0.00005958336,0.00003586501],"domain_scores_gemma":[0.99868625,0.0006764428,0.00028102758,0.00015335435,0.00014964143,0.000053229232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001375963,0.0002975355,0.00030963187,0.0019650206,0.00021638369,0.000840504,0.00024560097,0.00025375324,0.00095319067],"category_scores_gemma":[0.00458869,0.00021041169,0.0004777792,0.0014218505,0.00053039624,0.0007471463,0.0006059758,0.00042638445,0.00011987968],"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":[0.000099521785,0.00006907968,0.57709986,0.000074229945,0.00017909396,0.000388745,0.00090826774,0.309356,0.0025795829,0.02709819,0.00088792614,0.08125951],"study_design_scores_gemma":[0.0000078761495,0.000035269244,0.39971474,0.000019486908,0.00002433774,0.00004718822,0.00047340212,0.5873426,0.0008475621,0.010194605,0.001264744,0.00002821206],"about_ca_topic_score_codex":0.012911201,"about_ca_topic_score_gemma":0.0059166783,"teacher_disagreement_score":0.012911201,"about_ca_system_score_codex":0.00069712463,"about_ca_system_score_gemma":0.0002932579,"threshold_uncertainty_score":0.025672078},"labels":[],"label_agreement":null},{"id":"W1952929269","doi":"10.3968/j.sss.1923018420100102.001","title":"The Transformation and Imbalance Effect of Knowledge Structure of the Population in China: Model Establish and Empirical Analysis","year":2010,"lang":"en","type":"article","venue":"Studies in sociology of science","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Population; Balance (ability); Population structure; China; Economic system; Economics; Economic geography; Political science; Psychology; Sociology; Demography","score_opus":0.022596168820790706,"score_gpt":0.30264202413978775,"score_spread":0.28004585531899706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1952929269","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":[0.9666451,0.00024344734,0.019620776,0.0011305062,0.000020275897,0.00010629201,0.00034446298,0.00004775684,0.011841334],"genre_scores_gemma":[0.99570835,0.00018994824,0.0009915795,0.000024344534,0.000012862357,0.0000816824,0.00010870737,0.000003917085,0.0028785157],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996898,0.00010971801,0.000012941528,0.00005206779,0.000030885556,0.000104572624],"domain_scores_gemma":[0.9981585,0.0012733256,0.00025586382,0.000042467545,0.00014178304,0.00012801531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015127921,0.00034873988,0.0006678651,0.001097825,0.0005462083,0.0013051535,0.00088043296,0.00093932706,0.0056106164],"category_scores_gemma":[0.0028007193,0.00022013257,0.0009196601,0.0009689674,0.0009436076,0.002077907,0.0010097389,0.00078475045,0.00023055113],"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":[0.00040175245,0.00063019927,0.11895538,0.00020520347,0.00022711961,0.0009806567,0.0015261685,0.6554428,0.0012917022,0.18902619,0.0038912934,0.027421564],"study_design_scores_gemma":[0.000067946115,0.00010345538,0.016076092,0.0000154624,0.00009377744,0.00007255175,0.00042167847,0.9595337,0.00012971596,0.022797262,0.0006704749,0.00001789709],"about_ca_topic_score_codex":0.035775356,"about_ca_topic_score_gemma":0.015040798,"teacher_disagreement_score":0.035775356,"about_ca_system_score_codex":0.002308244,"about_ca_system_score_gemma":0.0017486705,"threshold_uncertainty_score":0.07113427},"labels":[],"label_agreement":null},{"id":"W1955938735","doi":"10.1111/j.1540-5982.2008.00491.x","title":"Foreign direct investment and spillovers: gradualism may be better","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Foreign direct investment; Argument (complex analysis); Economics; Gradualism; Absorptive capacity; Foreign capital; Subsidy; Monetary economics; Stock (firearms); Investment (military); Capital (architecture); Foreign portfolio investment; Market economy; International economics; Macroeconomics; Microeconomics; Return on investment; Open-ended investment company; Industrial organization; Profit (economics)","score_opus":0.16721888456002723,"score_gpt":0.17437500273615988,"score_spread":0.007156118176132653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1955938735","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":[0.37258086,0.017546326,0.16469724,0.045315083,0.00076765293,0.0002375018,0.00056098984,0.00033259427,0.39796177],"genre_scores_gemma":[0.9871055,0.0020175672,0.0042720023,0.00059143425,0.000174569,0.000032335807,0.000038391445,0.000011087611,0.005757021],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990983,0.0002555665,0.00005993294,0.00024800983,0.0001742365,0.0001639536],"domain_scores_gemma":[0.9909232,0.004463153,0.0020944306,0.0013020047,0.0006921404,0.00052506756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036907468,0.00032388174,0.00057692645,0.0009220721,0.0008848314,0.0036636859,0.00082562293,0.0014483932,0.01039158],"category_scores_gemma":[0.0116858315,0.00032553918,0.0010681505,0.0006192314,0.0058925627,0.008675445,0.0028256127,0.0026172006,0.00041617223],"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":[0.00007776857,0.00003223779,0.0030304827,0.00013596997,0.000043124775,0.00018493946,0.0003199132,0.004768055,0.0002993316,0.9800859,0.0006308799,0.010391393],"study_design_scores_gemma":[0.00006602141,0.000115544106,0.0052710776,0.00014035811,0.00005421758,0.0002350805,0.0003282295,0.0038282063,0.000274686,0.9791469,0.010512888,0.000026788555],"about_ca_topic_score_codex":0.003014147,"about_ca_topic_score_gemma":0.0026320207,"teacher_disagreement_score":0.01039158,"about_ca_system_score_codex":0.0022670676,"about_ca_system_score_gemma":0.0013666443,"threshold_uncertainty_score":0.034763336},"labels":[],"label_agreement":null},{"id":"W1963932868","doi":"10.1111/j.0008-4085.2004.006_1.x","title":"Escaping the poverty trap in a developing rural economy","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université Laval","funders":"","keywords":"Poverty trap; Trap (plumbing); Poverty; Subsistence agriculture; Economics; Per capita; Consumption (sociology); Homogeneous; Developing country; Subsistence economy; Rural economy; Rural area; Agriculture; Economic growth; Geography; Political science","score_opus":0.11631492955331282,"score_gpt":0.17315220482695248,"score_spread":0.05683727527363966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963932868","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":[0.9530682,0.00031527237,0.023713022,0.0036347704,0.0000112098705,0.000034796656,0.00015948895,0.000069108035,0.018994067],"genre_scores_gemma":[0.99762076,0.0002683486,0.00091697404,0.000097685646,0.0000045956717,0.0000083005,0.000014972137,0.0000045552265,0.0010637724],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99982774,0.00007490761,0.0000041618023,0.000011879084,0.000015480044,0.00006579403],"domain_scores_gemma":[0.99951625,0.00012705596,0.0001668123,0.000034744975,0.00006072868,0.000094391704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005395619,0.00017660196,0.00036378147,0.0003142908,0.0010092297,0.0012689203,0.00022926899,0.00047561392,0.001584059],"category_scores_gemma":[0.0009545525,0.00013988768,0.00027252486,0.00043230952,0.0011645239,0.00087355037,0.0011536299,0.0007485114,0.00015157995],"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":[0.00060581486,0.00035847025,0.04406723,0.0003312811,0.00019884629,0.0057729715,0.0016048311,0.26735994,0.014212565,0.63040674,0.0047704456,0.030310936],"study_design_scores_gemma":[0.00028057976,0.0005167154,0.02117641,0.00017978376,0.00009986111,0.0011891342,0.0047979085,0.3019968,0.0034407787,0.64188063,0.02436918,0.00007219018],"about_ca_topic_score_codex":0.006070397,"about_ca_topic_score_gemma":0.0058971904,"teacher_disagreement_score":0.006070397,"about_ca_system_score_codex":0.00092259585,"about_ca_system_score_gemma":0.0013209803,"threshold_uncertainty_score":0.012070119},"labels":[],"label_agreement":null},{"id":"W1965757984","doi":"10.1006/juec.2001.2235","title":"Innovation and Input Sharing","year":2002,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":132,"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 British Columbia","funders":"","keywords":"Order (exchange); Process (computing); Innovation process; Business; Industrial organization; Knowledge management; Knowledge sharing; Computer science; Marketing; Work in process","score_opus":0.04919932570742486,"score_gpt":0.19971613911103794,"score_spread":0.1505168134036131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965757984","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":[0.4625288,0.0033432327,0.06941445,0.00990702,0.00025874507,0.00008245576,0.0005449073,0.00018972195,0.4537307],"genre_scores_gemma":[0.9767898,0.0005950629,0.0017406698,0.00016962057,0.00011742845,0.000017711334,0.000052193456,0.00001982552,0.0204978],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99874544,0.00039291606,0.00006752901,0.00023586804,0.00024155753,0.0003166405],"domain_scores_gemma":[0.99112743,0.005794,0.0008292005,0.0010881516,0.0007191728,0.0004420568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021096857,0.0004023097,0.0011713961,0.0010761895,0.0012316011,0.004368778,0.0008819876,0.002070473,0.034996543],"category_scores_gemma":[0.010929372,0.0002980917,0.00096131495,0.00155784,0.0029767063,0.0052733836,0.0024838487,0.0012002856,0.0015458954],"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":[0.00010058082,0.000092238755,0.0032083553,0.000069362286,0.00006510065,0.00018093019,0.0003941193,0.010083414,0.0006640272,0.9564077,0.0027060872,0.02602807],"study_design_scores_gemma":[0.000025875563,0.000026192762,0.0018601989,0.000020904608,0.000037733767,0.000104675564,0.00029847035,0.005346076,0.00035256165,0.9871952,0.0047207396,0.000011314107],"about_ca_topic_score_codex":0.0017315157,"about_ca_topic_score_gemma":0.0013241337,"teacher_disagreement_score":0.034996543,"about_ca_system_score_codex":0.0015202782,"about_ca_system_score_gemma":0.0012145616,"threshold_uncertainty_score":0.117075086},"labels":[],"label_agreement":null},{"id":"W1965964056","doi":"10.2202/1935-1682.2102","title":"Vintage Effects and the Diffusion of Time-Saving Technological Innovations","year":2009,"lang":"en","type":"article","venue":"The B E Journal of Economic Analysis & Policy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Bank of Canada","funders":"","keywords":"Vintage; Pace; Pooling; Technological change; Economics; Econometrics; Panel data; Stock (firearms); Quality (philosophy); Diffusion; Industrial organization; Product (mathematics); Microeconomics; Macroeconomics; Computer science","score_opus":0.010779985107530326,"score_gpt":0.22800991307005058,"score_spread":0.21722992796252025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965964056","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":[0.99227387,0.0010301217,0.002884208,0.0001970611,0.000019348332,0.000027070706,0.0007182593,0.00003439172,0.0028156263],"genre_scores_gemma":[0.99725443,0.00044194373,0.00038285067,0.000015853275,0.000024473937,0.000008973499,0.0002278466,0.000009263179,0.0016344452],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99869555,0.00044718315,0.00014358148,0.00030190247,0.00023176977,0.00018001151],"domain_scores_gemma":[0.93958694,0.04207349,0.01245717,0.0030419265,0.0011823254,0.0016580793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004235461,0.00030015613,0.0006243269,0.0022240896,0.00034717747,0.0022257268,0.00085901597,0.0009897791,0.012513098],"category_scores_gemma":[0.03281711,0.00039472064,0.0009721984,0.00232301,0.0009903451,0.0017839355,0.00112991,0.0013308357,0.00055535766],"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":[0.0015704824,0.0004718851,0.88030505,0.0003690301,0.0012125919,0.0012383256,0.0021066898,0.024124892,0.009734195,0.023815144,0.0007913483,0.054260332],"study_design_scores_gemma":[0.00007642112,0.0006020872,0.94923425,0.00012743784,0.0004939462,0.00046643865,0.0007045903,0.025937393,0.0038231907,0.014205478,0.0042385,0.000090149195],"about_ca_topic_score_codex":0.004863825,"about_ca_topic_score_gemma":0.0045587267,"teacher_disagreement_score":0.012513098,"about_ca_system_score_codex":0.00085543876,"about_ca_system_score_gemma":0.00030487828,"threshold_uncertainty_score":0.04186052},"labels":[],"label_agreement":null},{"id":"W1966302182","doi":"10.1177/000944551104700301","title":"China, India and the US","year":2011,"lang":"en","type":"article","venue":"China Report","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for International Governance Innovation","funders":"","keywords":"China; Economics; Per capita income; Economic power; Index (typography); Developing country; Development economics; Gross domestic product; International trade; Economic growth; Geography; Political science; Demography","score_opus":0.02414827774458985,"score_gpt":0.18656331861573333,"score_spread":0.16241504087114347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966302182","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45096746,0.014876318,0.00033793482,0.030416217,0.00049854495,0.00004508436,0.0027600343,0.00007326881,0.50002515],"genre_scores_gemma":[0.944522,0.006760662,0.00028715242,0.0035861447,0.00014611527,0.000024381596,0.0010932403,0.000012574709,0.04356755],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996069,0.00004388233,0.000014307368,0.000044960943,0.00010857947,0.0001814404],"domain_scores_gemma":[0.9995383,0.000040322568,0.00009380456,0.000031856856,0.00014094604,0.00015484811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000377488,0.00018737315,0.0001433092,0.0016919241,0.0010118696,0.0019078674,0.00019857877,0.00031071564,0.0120935645],"category_scores_gemma":[0.0008670577,0.00006264397,0.00019318941,0.0040661828,0.0007464724,0.0010413264,0.0011732264,0.000492425,0.0008147687],"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":[0.00029510143,0.00009772207,0.35475862,0.00043231653,0.00018636919,0.0014751983,0.0066702887,0.0011582145,0.0007168114,0.250998,0.12891555,0.2542958],"study_design_scores_gemma":[0.0000355456,0.00008344749,0.52924025,0.00026752203,0.00009057483,0.0003966274,0.008403893,0.00046781194,0.00045380587,0.01361912,0.44689932,0.000042045514],"about_ca_topic_score_codex":0.08610013,"about_ca_topic_score_gemma":0.122823395,"teacher_disagreement_score":0.08610013,"about_ca_system_score_codex":0.0022680634,"about_ca_system_score_gemma":0.0042612157,"threshold_uncertainty_score":0.17119795},"labels":[],"label_agreement":null},{"id":"W1967541337","doi":"10.5539/res.v5n4p135","title":"Determines of Sectoral R&amp;D Investment in the UK: A Dymanic Panel Approach","year":2013,"lang":"en","type":"article","venue":"Review of European Studies","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Investment (military); Estimation; Economics; Affect (linguistics); Panel data; Econometrics; R&D intensity; Random effects model; Fixed effects model; Scale (ratio); Meta-analysis; Geography","score_opus":0.20678400560400936,"score_gpt":0.27681188073048896,"score_spread":0.0700278751264796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967541337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9591261,0.0029405172,0.009937904,0.00080410624,0.00003471379,0.000084756866,0.021198653,0.000048937352,0.0058243657],"genre_scores_gemma":[0.9665678,0.001863449,0.0030398017,0.0001815518,0.000035451478,0.00012570067,0.020378526,0.000010761016,0.007797016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988078,0.00053964194,0.000113009104,0.00023511487,0.0001334298,0.00017096588],"domain_scores_gemma":[0.9964108,0.0015719992,0.0011367766,0.00028731278,0.00043836067,0.00015485607],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0011384245,0.00026000218,0.0006116553,0.0015839224,0.00024216932,0.0008738755,0.00047573406,0.00054540654,0.004610747],"category_scores_gemma":[0.0028669406,0.0003572922,0.0007091641,0.0028976046,0.00016901175,0.00045007758,0.00087307894,0.00046362376,0.0012445954],"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":[0.00056218286,0.00031644522,0.8786573,0.0005580958,0.0014057293,0.0012210684,0.00088766625,0.051287286,0.0014585677,0.007503192,0.012735079,0.043407287],"study_design_scores_gemma":[0.00006005565,0.00023618861,0.9301408,0.00014340188,0.0004939716,0.00026174978,0.0009934754,0.042728893,0.001157162,0.0017603561,0.02196588,0.00005807541],"about_ca_topic_score_codex":0.083782196,"about_ca_topic_score_gemma":0.07935479,"teacher_disagreement_score":0.99886155,"about_ca_system_score_codex":0.0010455806,"about_ca_system_score_gemma":0.00075989176,"threshold_uncertainty_score":0.16658908},"labels":[],"label_agreement":null},{"id":"W1968884730","doi":"10.1787/eco_studies-v2006-art9-en","title":"Product market regulation and productivity convergence","year":2007,"lang":"en","type":"article","venue":"OECD Economic Studies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":79,"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":"Productivity; Convergence (economics); Economics; Product market; Competition (biology); Product (mathematics); Market economy; Macroeconomics; Incentive; Ecology; Biology","score_opus":0.041435798101910074,"score_gpt":0.24501878388112694,"score_spread":0.20358298577921685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968884730","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":[0.75089544,0.007661686,0.037303012,0.004251195,0.0001618658,0.00015794045,0.00082243397,0.00031314796,0.19843335],"genre_scores_gemma":[0.9907386,0.0014877631,0.0020607067,0.0002744254,0.00011698191,0.00007215278,0.00027424804,0.000035689205,0.004939526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964529,0.0009041818,0.00027762546,0.0008138439,0.00096781383,0.0005836214],"domain_scores_gemma":[0.9719952,0.010812301,0.010979878,0.0024100165,0.0027557039,0.0010468613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041330103,0.00054115726,0.0009570218,0.004442454,0.00094649923,0.0045791036,0.00079396134,0.0011634635,0.015486327],"category_scores_gemma":[0.02477656,0.0002614634,0.0010891769,0.004731375,0.0030603514,0.0034710683,0.003674605,0.0015597586,0.0017172504],"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":[0.0006984462,0.00082489476,0.37723693,0.00074774364,0.00062448176,0.0010387755,0.006113368,0.03390189,0.0028239312,0.347155,0.0043130023,0.22452146],"study_design_scores_gemma":[0.00029901997,0.0007569459,0.61527455,0.0007364833,0.00043802444,0.00096784905,0.005221891,0.024806222,0.0048249206,0.27044067,0.07604867,0.00018481106],"about_ca_topic_score_codex":0.0040815095,"about_ca_topic_score_gemma":0.0010565354,"teacher_disagreement_score":0.015486327,"about_ca_system_score_codex":0.0022236258,"about_ca_system_score_gemma":0.0013747751,"threshold_uncertainty_score":0.051806927},"labels":[],"label_agreement":null},{"id":"W1969973834","doi":"10.5430/rwe.v2n2p66","title":"Entropy, Substitution and Sustainable Economic Growth","year":2011,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Elasticity of substitution; Substitution (logic); Economics; Technical change; Sustainable development; Sustainable growth rate; Entropy (arrow of time); Technical progress; Technological change; Microeconomics; Natural resource economics; Macroeconomics; Thermodynamics; Production (economics); Computer science; Law; Political science","score_opus":0.09665054661989901,"score_gpt":0.2782442627388382,"score_spread":0.18159371611893915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969973834","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":[0.22910543,0.04804779,0.2899149,0.04432912,0.0018356239,0.000076844626,0.0005732666,0.00025153827,0.38586554],"genre_scores_gemma":[0.97413313,0.007200488,0.0070574605,0.00077402854,0.0006181696,0.0000503146,0.00008993222,0.00004428525,0.010032271],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992797,0.00026916398,0.00004114299,0.000121075056,0.00018607445,0.000102879014],"domain_scores_gemma":[0.99848276,0.00087154383,0.00020653634,0.00017237397,0.00017566097,0.00009112241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014421,0.00051397976,0.0006360509,0.0008750966,0.00065687473,0.0011974951,0.00043650912,0.0009992275,0.0034273688],"category_scores_gemma":[0.0027556901,0.00013743927,0.00048399484,0.00081194943,0.004161497,0.003287286,0.0017720651,0.0012186551,0.00040872366],"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":[0.000015649626,0.000007526338,0.00046217322,0.000058311063,0.000015408927,0.00006561481,0.00007517332,0.006951328,0.0002599007,0.9835918,0.0010267985,0.0074703353],"study_design_scores_gemma":[0.0000024947824,0.0000077005525,0.0002494295,0.00001321139,0.0000022040936,0.000026209043,0.000026521657,0.0035157073,0.0000884185,0.99286836,0.003195017,0.0000047883723],"about_ca_topic_score_codex":0.00089471706,"about_ca_topic_score_gemma":0.00067962456,"teacher_disagreement_score":0.0034273688,"about_ca_system_score_codex":0.0011499801,"about_ca_system_score_gemma":0.0006807269,"threshold_uncertainty_score":0.011465669},"labels":[],"label_agreement":null},{"id":"W1970760722","doi":"10.5539/ass.v10n24p12","title":"The Institutional Environment of Health Reproduction as a Part of Human Capital Formation","year":2014,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reproduction; Human capital; Social reproduction; Human health; Business; Capital (architecture); Means of production; Economic system; Economic capital; Economics; Economic growth; Social capital; Sociology; Biology; Ecology; Geography; Environmental health; Social science; Medicine","score_opus":0.028050888603161198,"score_gpt":0.23372964355285883,"score_spread":0.20567875494969762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970760722","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":[0.5905322,0.0027043957,0.067596905,0.022791078,0.00028803092,0.00022258218,0.00042693273,0.00018781035,0.3152501],"genre_scores_gemma":[0.9965837,0.0001899199,0.0013923668,0.00007767346,0.00004728102,0.00001447113,0.000016686252,0.000004680089,0.0016731361],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99744,0.001447807,0.00010250488,0.0002110046,0.00028327238,0.00051552645],"domain_scores_gemma":[0.99543494,0.0016323493,0.0010134375,0.00061777927,0.00043384676,0.0008676356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026999717,0.00011537216,0.000158495,0.0007059473,0.0012271088,0.004012042,0.0004710127,0.0007094422,0.004663164],"category_scores_gemma":[0.005362655,0.00013340346,0.00021216534,0.00058781856,0.0067216554,0.0019272977,0.0026021097,0.000682526,0.00032820765],"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":[0.00007333749,0.000103982,0.023464842,0.00008213692,0.00002496044,0.00060339697,0.004334861,0.0025457304,0.0021766846,0.92399067,0.0014037999,0.04119559],"study_design_scores_gemma":[0.00003460249,0.00021194475,0.13608243,0.00026193127,0.000051542218,0.0007281117,0.0090761,0.0061635063,0.0033350487,0.7863345,0.057651475,0.000068866604],"about_ca_topic_score_codex":0.0015718678,"about_ca_topic_score_gemma":0.001178245,"teacher_disagreement_score":0.004663164,"about_ca_system_score_codex":0.0029341844,"about_ca_system_score_gemma":0.0037212472,"threshold_uncertainty_score":0.02128911},"labels":[],"label_agreement":null},{"id":"W1971057103","doi":"10.5539/ibr.v3n3p32","title":"Technology market in the European Union","year":2010,"lang":"en","type":"article","venue":"International Business Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Margin (machine learning); European union; Production (economics); Economics; Business; Computer science; International economics; Microeconomics","score_opus":0.061145552726594665,"score_gpt":0.3023669567253438,"score_spread":0.24122140399874914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971057103","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":[0.01713923,0.015974315,0.0015427007,0.00893192,0.0010606219,0.000020359861,0.0010536219,0.00045856263,0.95381874],"genre_scores_gemma":[0.17988619,0.011562074,0.0026258915,0.0055044694,0.00047226777,0.00007112648,0.0019245164,0.00035589366,0.7975976],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988669,0.00020188192,0.000057120717,0.0002594473,0.0003483712,0.00026617147],"domain_scores_gemma":[0.99947864,0.00010275309,0.00006583137,0.00008373891,0.00013819082,0.00013077419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015419121,0.00040237766,0.00037058315,0.0012499777,0.0012907585,0.008106979,0.0006286627,0.0031446442,0.07444714],"category_scores_gemma":[0.0023012517,0.00017683988,0.0005778499,0.003263281,0.0009795056,0.0051511712,0.0018663334,0.001535801,0.019899413],"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":[0.00019984355,0.000104864186,0.0016296383,0.00020299549,0.000017209997,0.00033765956,0.0006258998,0.0007606569,0.0010117143,0.5701705,0.21761732,0.20732155],"study_design_scores_gemma":[0.000012136054,0.000044046505,0.0032615315,0.00014785037,0.000005953893,0.00013870605,0.00033452397,0.00018537251,0.0003404509,0.0076804953,0.9878412,0.00000772398],"about_ca_topic_score_codex":0.006016831,"about_ca_topic_score_gemma":0.003112581,"teacher_disagreement_score":0.07444714,"about_ca_system_score_codex":0.0029315879,"about_ca_system_score_gemma":0.0028371855,"threshold_uncertainty_score":0.2490505},"labels":[],"label_agreement":null},{"id":"W1971286162","doi":"10.2139/ssrn.880205","title":"Tales from Two Neighbors Productivity Growth in Canada and the United States","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"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":"Productivity; Agricultural economics; Geography; Political science; Economic geography; Economics; Economic growth","score_opus":0.007235030303395882,"score_gpt":0.17214269154614711,"score_spread":0.16490766124275122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971286162","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":[0.9408209,0.001166364,0.0001414763,0.012559203,0.00017555516,0.000015482328,0.0015383397,0.000027752345,0.04355498],"genre_scores_gemma":[0.9836271,0.00071812957,0.000043673033,0.0006638516,0.00003383127,0.000003811019,0.00055996643,0.000016729799,0.014332837],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939895,0.00005305054,0.000010012031,0.0000453274,0.0001579183,0.0003347048],"domain_scores_gemma":[0.99698347,0.0002894385,0.00013671533,0.000063136365,0.0013039977,0.0012232787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064994226,0.00020709433,0.00034217615,0.0020809795,0.007950828,0.003833416,0.0007415013,0.000783295,0.0047782646],"category_scores_gemma":[0.0024715224,0.00010944721,0.00025878713,0.0038996413,0.0018439236,0.0011419305,0.0016476993,0.0016420152,0.0004638114],"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":[0.0009932368,0.00043126612,0.5312565,0.00011684169,0.00018087152,0.002298609,0.08549669,0.003521085,0.0007946928,0.031070355,0.22281142,0.1210284],"study_design_scores_gemma":[0.00003322017,0.00007021907,0.61634654,0.00012692653,0.00008494126,0.00010541614,0.28427136,0.0017572574,0.00052072643,0.0036517526,0.09294727,0.00008447547],"about_ca_topic_score_codex":0.9851917,"about_ca_topic_score_gemma":0.99430025,"teacher_disagreement_score":0.02339937,"about_ca_system_score_codex":0.02339937,"about_ca_system_score_gemma":0.016539598,"threshold_uncertainty_score":0.16977507},"labels":[],"label_agreement":null},{"id":"W1971428494","doi":"10.1111/j.1467-9787.2007.00538.x","title":"SKILLS, EDUCATION, AND CANADIAN PROVINCIAL DISPARITY*","year":2007,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Human capital; Economics; Per capita income; Demographic economics; Per capita; Literacy; Variable (mathematics); Labour economics; Economic growth; Demography; Sociology","score_opus":0.015457634231138209,"score_gpt":0.22681446320484247,"score_spread":0.21135682897370425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971428494","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":[0.94670945,0.0004930152,0.00069413066,0.0009844233,0.000022483357,0.000034055833,0.037874375,0.00005717776,0.013130833],"genre_scores_gemma":[0.988447,0.00012584783,0.00030467333,0.000046314053,0.0000032002931,0.000008956862,0.00957,0.0000062488384,0.0014876991],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933666,0.0000428623,0.000027028067,0.00010662857,0.0002564518,0.00023031332],"domain_scores_gemma":[0.9978892,0.00023352254,0.00042791304,0.000121633806,0.001065584,0.00026205613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095409335,0.00019745425,0.00023021811,0.0018470224,0.0011280301,0.0009394004,0.0005674468,0.00021678969,0.0034280643],"category_scores_gemma":[0.005604065,0.0001401884,0.0003909097,0.003589461,0.0004428711,0.00027790217,0.0006267716,0.00039340623,0.00024252632],"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":[0.00007506407,0.000025451656,0.9698287,0.000048747766,0.00007875992,0.000065451626,0.00052195403,0.006681012,0.00014178558,0.0034516663,0.006557434,0.012523959],"study_design_scores_gemma":[0.000010016102,0.000010098888,0.9857891,0.00002657241,0.000016298709,0.000031008225,0.00045433792,0.0054756496,0.00018550364,0.00036406514,0.007623306,0.000014074678],"about_ca_topic_score_codex":0.9916848,"about_ca_topic_score_gemma":0.9931179,"teacher_disagreement_score":0.016296484,"about_ca_system_score_codex":0.016296484,"about_ca_system_score_gemma":0.020584494,"threshold_uncertainty_score":0.11823982},"labels":[],"label_agreement":null},{"id":"W1973028523","doi":"10.1111/j.1748-3131.2006.00003.x","title":"Comment on “China's Recent Economic Performance and Future Prospects”","year":2006,"lang":"en","type":"article","venue":"Asian Economic Policy Review","topic":"Economic Growth and Productivity","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":"Economics; Total factor productivity; China; Growth accounting; Capital (architecture); Productivity; Labour economics; Capital deepening; Quarter (Canadian coin); Human capital; Capital formation; Macroeconomics; Market economy; Financial capital; Geography","score_opus":0.01566083169958671,"score_gpt":0.2293269812827555,"score_spread":0.2136661495831688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973028523","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":[0.0013603837,0.0032385665,0.00012624856,0.96376103,0.025220104,0.000011886957,0.0006223905,0.00010615949,0.0055532483],"genre_scores_gemma":[0.01681399,0.0027838005,0.00021737047,0.941301,0.023823947,0.000036259935,0.0003522275,0.00004987886,0.014621384],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988476,0.00019222502,0.00011550513,0.00018319058,0.00039393821,0.00026751426],"domain_scores_gemma":[0.9961771,0.00096700265,0.00046934406,0.00020512671,0.0016724577,0.00050910166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021266686,0.00086182356,0.0007979707,0.0010138053,0.0021766308,0.0022888887,0.0020793087,0.014389475,0.010521826],"category_scores_gemma":[0.0073920167,0.0003445415,0.0011673438,0.001593061,0.0025443097,0.0038034355,0.0015471331,0.012856556,0.0038592736],"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":[0.000021958356,0.000004302426,0.00083314994,0.00007562982,0.000008791811,0.00028139816,0.00022834352,0.000055778753,0.00014413454,0.0035816254,0.9914437,0.003321238],"study_design_scores_gemma":[0.000016375825,0.000026923319,0.00563601,0.00016963112,0.000013379765,0.00027917692,0.0007272864,0.00015190677,0.00033183442,0.0026984396,0.9898934,0.00005565856],"about_ca_topic_score_codex":0.0273226,"about_ca_topic_score_gemma":0.02463901,"teacher_disagreement_score":0.0273226,"about_ca_system_score_codex":0.0033878766,"about_ca_system_score_gemma":0.004793661,"threshold_uncertainty_score":0.05432713},"labels":[],"label_agreement":null},{"id":"W1973326196","doi":"10.5539/ijef.v2n1p40","title":"Regional Growth in the Euro Mediterranean Countries: Effects of Increasing Retunes and Spatial Externalities","year":2010,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Externality; Endogenous growth theory; Convergence (economics); Economic geography; Returns to scale; Spatial econometrics; Econometrics; Scale (ratio); Estimation; Growth model; Growth theory; Mediterranean climate; Scale effects; Macroeconomics; Geography; Microeconomics; Economic growth; Neoclassical economics; Production (economics)","score_opus":0.018215737836895934,"score_gpt":0.21396778018549945,"score_spread":0.19575204234860352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973326196","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":[0.995773,0.0008144777,0.00046721366,0.00026982423,0.000011872661,0.000004594086,0.0002607876,0.000021183989,0.0023769545],"genre_scores_gemma":[0.9989262,0.00031012128,0.0001567593,0.000013370721,0.000010323957,0.0000031449738,0.00025555925,0.0000062914623,0.00031818668],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931407,0.00028316147,0.000042161188,0.00015003738,0.00008140962,0.0001291495],"domain_scores_gemma":[0.99593073,0.0013282354,0.0014524622,0.00039957342,0.00055335596,0.0003355891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017490834,0.0004629662,0.00052962004,0.0010661752,0.00022545976,0.0010871419,0.0003485735,0.00031936646,0.0014795864],"category_scores_gemma":[0.0052741496,0.0001259931,0.00070044206,0.0017920528,0.000743682,0.0010297823,0.0014804016,0.0004904304,0.00020734624],"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":[0.0005725147,0.000068608526,0.9395561,0.00011685962,0.00035131467,0.00080640515,0.0011452549,0.022537809,0.00067064195,0.0054499875,0.0013066942,0.027417723],"study_design_scores_gemma":[0.000028453998,0.000101722915,0.98596454,0.000037892074,0.00009807072,0.0001388339,0.0014033212,0.008014206,0.0004750626,0.0014509449,0.00227469,0.000012350398],"about_ca_topic_score_codex":0.022669703,"about_ca_topic_score_gemma":0.013180309,"teacher_disagreement_score":0.022669703,"about_ca_system_score_codex":0.00072294596,"about_ca_system_score_gemma":0.00035893163,"threshold_uncertainty_score":0.045075476},"labels":[],"label_agreement":null},{"id":"W1973954657","doi":"10.1080/00036840010027531","title":"Exports and growth: a causality analysis for the pulp and paper industries based on international panel data","year":2002,"lang":"en","type":"article","venue":"Applied Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Panel data; Causality (physics); Panel analysis; Econometrics; Macroeconomics; International trade; International economics","score_opus":0.11024651151129228,"score_gpt":0.22424319560029296,"score_spread":0.11399668408900068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973954657","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":[0.97341883,0.00046225963,0.018930515,0.000577546,0.00004823374,0.000051759485,0.0037421612,0.00008582356,0.0026828013],"genre_scores_gemma":[0.98734933,0.00035279247,0.006359649,0.000053366806,0.000054956192,0.000056599827,0.004551352,0.000021131986,0.0012007526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847907,0.0010596649,0.00006349018,0.00017034286,0.00012321587,0.0001043079],"domain_scores_gemma":[0.9845724,0.011784754,0.0020024034,0.00084260356,0.0004897383,0.00030801335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004059307,0.00054181146,0.00052316947,0.0027672537,0.00044543913,0.00094628014,0.00033856055,0.0004614974,0.002863385],"category_scores_gemma":[0.011875913,0.00022118492,0.0010801032,0.0036370857,0.00036782352,0.0010021882,0.0007233535,0.0012854274,0.00031886506],"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":[0.00068345375,0.00033278935,0.90229636,0.000117439886,0.0014106791,0.000528193,0.0003471452,0.031661987,0.0009434099,0.009020101,0.0034458481,0.04921258],"study_design_scores_gemma":[0.000250851,0.0008171764,0.78875846,0.00009969281,0.0013321727,0.0004257417,0.0009900669,0.1778354,0.0025497465,0.016251242,0.010585094,0.00010426007],"about_ca_topic_score_codex":0.010109509,"about_ca_topic_score_gemma":0.007375,"teacher_disagreement_score":0.010109509,"about_ca_system_score_codex":0.000443917,"about_ca_system_score_gemma":0.00068661856,"threshold_uncertainty_score":0.021467865},"labels":[],"label_agreement":null},{"id":"W1974313057","doi":"10.1080/10438590500475000","title":"Enterprise in orbit: The supply of communication satellites","year":2006,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Oligopoly; Rule of thumb; Economics; Industrial organization; Microeconomics; Simple (philosophy); Satellite; Business; Computer science; Engineering","score_opus":0.019172724941899363,"score_gpt":0.2080921278404185,"score_spread":0.18891940289851913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974313057","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":[0.89132357,0.0020515204,0.007363622,0.0027544794,0.000053086078,0.000019404444,0.0006872113,0.000058926416,0.09568817],"genre_scores_gemma":[0.98973185,0.00096647546,0.0005355865,0.00008085276,0.00004190172,0.0000034314623,0.00026672092,0.000008455437,0.008364655],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9998354,0.000026613481,0.000006072064,0.000023766881,0.00007403379,0.000034114753],"domain_scores_gemma":[0.9994236,0.00020210868,0.0001926393,0.00003059313,0.00009035033,0.000060781687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013493845,0.00011497107,0.00011173031,0.000557682,0.0005443409,0.0016418564,0.0002128435,0.0006367335,0.0056841443],"category_scores_gemma":[0.0015162122,0.00008620403,0.00011627648,0.0015908584,0.00028969618,0.0012570657,0.0006579045,0.00036694584,0.000543116],"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":[0.0005795479,0.00024535015,0.30291018,0.00055513374,0.000114905946,0.011207051,0.008618387,0.062038086,0.01400339,0.32580045,0.023347192,0.25058037],"study_design_scores_gemma":[0.000069945825,0.00051321817,0.30717278,0.00036578666,0.00016284014,0.0071468074,0.030566264,0.10450561,0.013979308,0.13509062,0.4002889,0.00013799031],"about_ca_topic_score_codex":0.008685,"about_ca_topic_score_gemma":0.008215547,"teacher_disagreement_score":0.008685,"about_ca_system_score_codex":0.0010002528,"about_ca_system_score_gemma":0.00057395874,"threshold_uncertainty_score":0.019015312},"labels":[],"label_agreement":null},{"id":"W1976893417","doi":"10.1080/10438599.2011.561998","title":"Evaluating the effects of investment in information and communication technology","year":2011,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Saskatchewan","keywords":"Information and Communications Technology; Productivity; Investment (military); European union; Economics; Panel data; Vector autoregression; Aggregate data; Labour economics; Business; International economics; Macroeconomics; Monetary economics; Econometrics","score_opus":0.05683544472723347,"score_gpt":0.2526237233501737,"score_spread":0.19578827862294024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976893417","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":[0.9956683,0.00027497884,0.00043199517,0.00022497807,0.000010353067,0.000013840188,0.00035069414,0.000008666182,0.0030161848],"genre_scores_gemma":[0.9985656,0.00020587498,0.00016811072,0.000043937027,0.000010644885,0.000008773379,0.00035272067,0.0000020938285,0.0006423361],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99859077,0.00072198996,0.00007573121,0.00017094341,0.00016750937,0.00027306494],"domain_scores_gemma":[0.9821493,0.013845954,0.0027430719,0.00037922012,0.0005203959,0.00036194688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022945243,0.00037141537,0.00040431708,0.00061827514,0.00018658087,0.0012365239,0.00033397152,0.0008580883,0.0029980026],"category_scores_gemma":[0.010065734,0.00022977122,0.00059147604,0.0011753903,0.0005161168,0.0008170654,0.00066644786,0.0007549026,0.00033057856],"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":[0.0020129837,0.0013913542,0.8602634,0.0002658018,0.0011691683,0.0005622563,0.00022310083,0.09568345,0.004013367,0.0048530027,0.001087777,0.02847429],"study_design_scores_gemma":[0.000089135945,0.0025557175,0.94777846,0.000032471035,0.00054743583,0.000074491996,0.00083363295,0.03820635,0.0047366256,0.0027125548,0.0024019715,0.0000312573],"about_ca_topic_score_codex":0.008502157,"about_ca_topic_score_gemma":0.008569464,"teacher_disagreement_score":0.008502157,"about_ca_system_score_codex":0.0010531342,"about_ca_system_score_gemma":0.0006123582,"threshold_uncertainty_score":0.016905308},"labels":[],"label_agreement":null},{"id":"W1977969057","doi":"10.1016/j.strueco.2004.08.001","title":"Output and well-being in industrialized nations in the second half of the 20th century: testing for convergence using fuzzy clustering analysis","year":2004,"lang":"en","type":"article","venue":"Structural Change and Economic Dynamics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":18,"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 Victoria","funders":"Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Convergence (economics); Context (archaeology); Economics; Test (biology); Empirical evidence; Econometrics; Per capita income; Per capita; Convergence clubs; Sample (material); Macroeconomics; Geography; Sociology","score_opus":0.0651422165618794,"score_gpt":0.24669841018006744,"score_spread":0.18155619361818803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977969057","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":[0.99865663,0.00014460307,0.00013724339,0.000060421688,0.0000040705154,0.0000018779907,0.0001898476,0.000001202984,0.0008040152],"genre_scores_gemma":[0.99943453,0.000049007955,0.00009556097,0.000006360299,0.0000025698223,0.00000340145,0.00028348906,0.000001006043,0.00012386289],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995796,0.0001505977,0.00003293994,0.00008249916,0.0000649255,0.000089479094],"domain_scores_gemma":[0.99813277,0.00050668814,0.0004151432,0.0001629061,0.00044987816,0.0003325871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001837604,0.00031174676,0.0003853229,0.0021873408,0.00075215276,0.0011374234,0.0003955435,0.00048800194,0.00084782176],"category_scores_gemma":[0.004692583,0.00012802808,0.00053730176,0.0027626636,0.0008724781,0.0009406857,0.001160617,0.0005462655,0.000097715034],"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":[0.00041319954,0.000093127455,0.97949034,0.00003295714,0.0003244874,0.00011327608,0.004732177,0.0030776835,0.00034443004,0.0024288772,0.00035879156,0.008590554],"study_design_scores_gemma":[0.0000036972742,0.00004785886,0.9942753,0.000013387302,0.000033820408,0.000054992302,0.0027108605,0.0018879672,0.00010370632,0.00052900834,0.00033023965,0.000009346029],"about_ca_topic_score_codex":0.041437197,"about_ca_topic_score_gemma":0.037702765,"teacher_disagreement_score":0.041437197,"about_ca_system_score_codex":0.0010277961,"about_ca_system_score_gemma":0.0005267426,"threshold_uncertainty_score":0.08239204},"labels":[],"label_agreement":null},{"id":"W1977986297","doi":"10.1111/j.1475-4932.2007.00408.x","title":"The Dynamic Effects of the US Productivity Boom on Australia*","year":2007,"lang":"en","type":"article","venue":"Economic Record","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Boom; Productivity; Economics; Agriculture; Labour economics; Agricultural productivity; Macroeconomics; Geography; Engineering","score_opus":0.017735696017172817,"score_gpt":0.22717649149839772,"score_spread":0.2094407954812249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977986297","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":[0.9343964,0.0016293308,0.0010419555,0.023860645,0.000098518314,0.000018391649,0.0009872424,0.000045452012,0.037922185],"genre_scores_gemma":[0.99503434,0.00082315865,0.00012620586,0.0007804663,0.0000288371,0.0000053007457,0.000110137924,0.0000073376664,0.0030842966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997825,0.000042815755,0.000009007759,0.000033757213,0.00003698489,0.00009497659],"domain_scores_gemma":[0.99936956,0.0000954837,0.00022351269,0.000032055406,0.0001478559,0.00013153159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005333964,0.00016469379,0.00021899621,0.00052036374,0.0006411325,0.0018519316,0.00023832393,0.0006830645,0.0045516933],"category_scores_gemma":[0.002454348,0.00016915104,0.0003947225,0.00085914735,0.00070468866,0.001358953,0.0012606754,0.0010818642,0.00034081106],"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":[0.00046421593,0.00033664575,0.52423805,0.0004417965,0.00036731135,0.0034012794,0.0048175026,0.05003281,0.0075825197,0.21740204,0.045778047,0.14513774],"study_design_scores_gemma":[0.000035050125,0.00020501658,0.8755379,0.00016172444,0.00014758103,0.00029548552,0.0031340593,0.028970713,0.0011856903,0.028599013,0.061657906,0.00006990834],"about_ca_topic_score_codex":0.12286104,"about_ca_topic_score_gemma":0.11239868,"teacher_disagreement_score":0.12286104,"about_ca_system_score_codex":0.0032811111,"about_ca_system_score_gemma":0.0016149422,"threshold_uncertainty_score":0.24429178},"labels":[],"label_agreement":null},{"id":"W1978429340","doi":"10.1111/j.0034-6586.2004.00141.x","title":"UNDERSTANDING ECONOMIC GROWTH AND ECONOMIC DEVELOPMENT","year":2004,"lang":"en","type":"article","venue":"Review of Income and Wealth","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Squire; Economics; Perspective (graphical); Inflation (cosmology); Productivity; Unemployment; Economic history; Keynesian economics; Classical economics; Neoclassical economics; Economic growth; History","score_opus":0.06408820991927348,"score_gpt":0.2495276464693171,"score_spread":0.18543943655004363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978429340","genre_codex":"review","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":[0.00027730755,0.9767295,0.00036329927,0.014132049,0.0015263194,0.000002874024,0.00012442193,0.0000106790285,0.006833623],"genre_scores_gemma":[0.005242742,0.98767567,0.00029634716,0.0017333112,0.002387811,0.0000066680905,0.00013446086,0.0000076583065,0.0025152145],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994235,0.0001878906,0.000041641662,0.00009643936,0.00018709475,0.00006346774],"domain_scores_gemma":[0.99842393,0.0007623707,0.00013702977,0.00008171605,0.000490071,0.00010483187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012211301,0.0010808922,0.0012529221,0.0027395631,0.00080059416,0.0043618395,0.0006918503,0.0015106853,0.0070728245],"category_scores_gemma":[0.0043107076,0.0003456074,0.00042978147,0.0065527824,0.0017025612,0.0044633937,0.0013362373,0.002284271,0.0026222814],"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":[0.00003382372,0.00003849911,0.0009775292,0.0030391603,0.00010390597,0.00007835697,0.00049381156,0.0014178706,0.00021176833,0.09322654,0.5496231,0.3507556],"study_design_scores_gemma":[0.000005292893,0.000011024228,0.001453664,0.0019411015,0.00004323303,0.00007087407,0.00036774474,0.00011836257,0.000042967666,0.058059417,0.93787307,0.0000132678615],"about_ca_topic_score_codex":0.009614128,"about_ca_topic_score_gemma":0.018107088,"teacher_disagreement_score":0.009614128,"about_ca_system_score_codex":0.0023172803,"about_ca_system_score_gemma":0.0051124655,"threshold_uncertainty_score":0.023661017},"labels":[],"label_agreement":null},{"id":"W1978535114","doi":"10.1080/09603100600749238","title":"Financial structure and economic growth: the role of heterogeneity1","year":2007,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Economics; Financial structure; Financial system; Macroeconomics; Finance","score_opus":0.007932774212487542,"score_gpt":0.1741772540486516,"score_spread":0.16624447983616406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978535114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.751923,0.0063708755,0.22502254,0.0047360854,0.00009562687,0.000108391985,0.0017170395,0.00018991664,0.009836546],"genre_scores_gemma":[0.98625225,0.0009829454,0.011062456,0.00012443434,0.00011432434,0.000037407495,0.00075702806,0.000018552912,0.00065066695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984554,0.0007090382,0.000105132734,0.00030020188,0.0003135584,0.00011668249],"domain_scores_gemma":[0.96461403,0.026876599,0.0049402216,0.002206315,0.0009210508,0.00044169876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055055893,0.0004856099,0.0010679659,0.0030121529,0.0006632073,0.0036817626,0.00079501595,0.0010451947,0.0021228935],"category_scores_gemma":[0.03808215,0.0003949909,0.00067433895,0.0037938629,0.0014591626,0.0040011085,0.0015847583,0.001943051,0.0004248364],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039242712,0.0002317622,0.5418778,0.00020733899,0.0006417732,0.00034828176,0.001029199,0.06743665,0.0010902234,0.20255268,0.0031257838,0.18106611],"study_design_scores_gemma":[0.000078871555,0.0001252856,0.24622615,0.00024131151,0.00030796955,0.0003526658,0.0005058505,0.2703608,0.0013848186,0.47393334,0.006336964,0.00014591169],"about_ca_topic_score_codex":0.0041035307,"about_ca_topic_score_gemma":0.0038619821,"teacher_disagreement_score":0.0055055893,"about_ca_system_score_codex":0.0009522824,"about_ca_system_score_gemma":0.0006148237,"threshold_uncertainty_score":0.02911669},"labels":[],"label_agreement":null},{"id":"W1978843059","doi":"10.1016/j.red.2009.02.004","title":"Schumpeterian cycles with pro-cyclical R&amp;D","year":2009,"lang":"en","type":"article","venue":"Review of Economic Dynamics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of British Columbia","funders":"","keywords":"Economics; Investment (military); Business cycle; Production (economics); Empirical evidence; Monetary economics; Keynesian economics; Microeconomics","score_opus":0.028164799726662446,"score_gpt":0.25191622957965093,"score_spread":0.2237514298529885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978843059","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":[0.09833589,0.18828568,0.41454518,0.034602538,0.0027292338,0.00029422337,0.0011176307,0.00048540908,0.25960413],"genre_scores_gemma":[0.8056807,0.110217005,0.042598274,0.0019740548,0.004038298,0.00022934942,0.00025707335,0.00010083193,0.034904473],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99951005,0.00011007513,0.000029378389,0.00013395638,0.00017268334,0.00004387222],"domain_scores_gemma":[0.99786997,0.00096081645,0.0005019382,0.00025225783,0.00031619827,0.0000988194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001130354,0.0006610085,0.00067930797,0.0018928589,0.000663054,0.0029308454,0.0009987458,0.0016329731,0.005366586],"category_scores_gemma":[0.0058883717,0.0004970159,0.0005240251,0.0035137984,0.0040380987,0.0053990465,0.0013429694,0.0019900904,0.0009013299],"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":[0.000019306786,0.000011685504,0.0005781112,0.00014057827,0.000015857584,0.00007606626,0.000048671125,0.0057402337,0.00018633276,0.94828564,0.0038727568,0.041024696],"study_design_scores_gemma":[0.00000933617,0.000014286239,0.0005687304,0.00006475637,0.0000075603366,0.0001358097,0.000029379342,0.012147728,0.000218444,0.9566888,0.030101346,0.000013889735],"about_ca_topic_score_codex":0.0015233656,"about_ca_topic_score_gemma":0.0010234353,"teacher_disagreement_score":0.005366586,"about_ca_system_score_codex":0.0022972038,"about_ca_system_score_gemma":0.0011998957,"threshold_uncertainty_score":0.017953038},"labels":[],"label_agreement":null},{"id":"W1978975824","doi":"10.1007/s001810100108","title":"Specification and sensitivity analysis of cross-country growth regressions","year":2002,"lang":"en","type":"article","venue":"Empirical Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"University of Guelph","funders":"","keywords":"Econometrics; Inflation (cosmology); Sensitivity (control systems); Standard deviation; Economics; Regression analysis; Regression; Statistics; Mathematics; Engineering","score_opus":0.07487940840141641,"score_gpt":0.27514276374878494,"score_spread":0.20026335534736853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978975824","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":[0.81501985,0.0010980732,0.16839425,0.00079464435,0.00016398412,0.00038504295,0.006830141,0.0019965072,0.0053175264],"genre_scores_gemma":[0.97564584,0.00020250793,0.016520485,0.00011260219,0.00004390414,0.00014985181,0.0055383528,0.00021089044,0.001575618],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.986429,0.011038737,0.0005840288,0.0010168329,0.0004413133,0.0004900267],"domain_scores_gemma":[0.88052386,0.110061035,0.0024349128,0.0050540166,0.0017071977,0.00021905145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020092681,0.0012869628,0.0014237685,0.0038217395,0.0006509995,0.0018070173,0.001762905,0.0011253989,0.007292722],"category_scores_gemma":[0.06543679,0.00091142236,0.004128963,0.0023601197,0.00039813452,0.0012561011,0.0018049979,0.002441342,0.00084146886],"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":[0.0013462857,0.0005947199,0.08835635,0.0003263251,0.0038937181,0.001243963,0.00041378074,0.82167137,0.0042661787,0.016709287,0.0067005507,0.05447747],"study_design_scores_gemma":[0.00016552754,0.00027147174,0.036109127,0.000056495646,0.0013991151,0.00025849204,0.0003179614,0.9425956,0.005669781,0.010244812,0.0028160287,0.00009558853],"about_ca_topic_score_codex":0.014331034,"about_ca_topic_score_gemma":0.005904832,"teacher_disagreement_score":0.020092681,"about_ca_system_score_codex":0.0012137648,"about_ca_system_score_gemma":0.0009873962,"threshold_uncertainty_score":0.10626155},"labels":[],"label_agreement":null},{"id":"W1979389204","doi":"10.1007/s00168-004-0224-7","title":"Income convergence across Canadian provinces in the 20th century: Almost but not quite there","year":2005,"lang":"en","type":"article","venue":"The Annals of Regional Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Convergence (economics); Earnings; Economics; Redistribution (election); Econometrics; Macroeconomics; Political science; Accounting","score_opus":0.09840113322646912,"score_gpt":0.2957740932242982,"score_spread":0.19737295999782908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979389204","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":[0.72616464,0.05299821,0.0012867732,0.06294261,0.0008761727,0.00006610113,0.019824484,0.00015100442,0.1356901],"genre_scores_gemma":[0.973796,0.009321368,0.0007884072,0.0017039605,0.00012719346,0.000014429776,0.0025131619,0.000050002764,0.01168535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99816066,0.000071992916,0.00007199167,0.00017918856,0.00052254274,0.0009937022],"domain_scores_gemma":[0.9949635,0.00019280896,0.00035748773,0.0001380806,0.0036950454,0.00065308466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017272555,0.00035535492,0.0006645125,0.0046718474,0.0048784353,0.0037375183,0.0012516994,0.00077084574,0.0091907885],"category_scores_gemma":[0.005391797,0.00026780614,0.00062096835,0.01464682,0.0021870306,0.0020163427,0.0021137996,0.0015007092,0.00042871392],"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":[0.0009673531,0.00009358876,0.5298599,0.0009453491,0.0005540967,0.001001052,0.024660083,0.0030540116,0.00076034135,0.13119486,0.08876315,0.2181462],"study_design_scores_gemma":[0.000022624357,0.000024091267,0.85546297,0.00034238424,0.00007924363,0.00013133425,0.009998818,0.00047743059,0.00027213502,0.002551018,0.1305754,0.00006258974],"about_ca_topic_score_codex":0.99519,"about_ca_topic_score_gemma":0.9973501,"teacher_disagreement_score":0.07045571,"about_ca_system_score_codex":0.07045571,"about_ca_system_score_gemma":0.07845503,"threshold_uncertainty_score":0.51119435},"labels":[],"label_agreement":null},{"id":"W1980518229","doi":"10.1017/s1365100513000606","title":"TREND IN CYCLE OR CYCLE IN TREND? NEW STRUCTURAL IDENTIFICATIONS FOR UNOBSERVED-COMPONENTS MODELS OF U.S. REAL GDP","year":2014,"lang":"en","type":"article","venue":"Macroeconomic Dynamics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; HEC Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Economics; Business cycle; Econometrics; Identification (biology); Real gross domestic product; Decomposition; Macroeconomics","score_opus":0.04041410764838697,"score_gpt":0.24515229748098868,"score_spread":0.20473818983260172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980518229","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":[0.26954627,0.0011926189,0.69058555,0.010106731,0.00023195546,0.000105929605,0.0023587982,0.0004991961,0.025372883],"genre_scores_gemma":[0.9437442,0.0015576872,0.04172877,0.00043287865,0.00031912353,0.0001457832,0.0023332462,0.000118914104,0.009619361],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955827,0.00016557465,0.000035006535,0.00012407261,0.000060910814,0.00005616555],"domain_scores_gemma":[0.99740344,0.001075693,0.00077587855,0.00046973545,0.00018336411,0.000091962414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018507597,0.00042348084,0.0006178475,0.00078347983,0.00033521937,0.0016745165,0.0007907859,0.0007782911,0.007980902],"category_scores_gemma":[0.00921212,0.00044061255,0.0009454708,0.0013311292,0.0009210619,0.0034947612,0.0012071726,0.0018132671,0.0007931333],"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":[0.00007932707,0.000064309796,0.012611479,0.00009776276,0.00006901526,0.00015807668,0.0005694916,0.05396507,0.0006729567,0.87608004,0.006127717,0.0495047],"study_design_scores_gemma":[0.00003810281,0.000030600764,0.005918029,0.000057886144,0.000047943187,0.00007917412,0.00020317186,0.2795675,0.0002290636,0.70288634,0.01091554,0.00002672775],"about_ca_topic_score_codex":0.0042279884,"about_ca_topic_score_gemma":0.008150773,"teacher_disagreement_score":0.007980902,"about_ca_system_score_codex":0.00061991403,"about_ca_system_score_gemma":0.0010972709,"threshold_uncertainty_score":0.026698828},"labels":[],"label_agreement":null},{"id":"W1980740115","doi":"10.2139/ssrn.380341","title":"All About the Giants: Probing the Influences on Growth and Income Inequality at the End of the 20th Century","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"Centre for Disability Prevention and Rehabilitation","funders":"","keywords":"Poverty; Economics; Income distribution; Inequality; Economic inequality; China; Development economics; Distribution (mathematics); Income inequality metrics; Demographic economics; Geography; Economic growth","score_opus":0.01710325051701119,"score_gpt":0.2165258080161361,"score_spread":0.1994225574991249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980740115","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":[0.8543302,0.009440821,0.00021131203,0.06503182,0.00014626635,0.0000055234304,0.0005651461,0.0000069840153,0.07026201],"genre_scores_gemma":[0.9942431,0.002397331,0.00004045643,0.0014647597,0.0001457149,0.0000033821716,0.00008356076,0.000008245357,0.0016135208],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994777,0.00015775011,0.000011479404,0.000051413474,0.00007969661,0.0002220593],"domain_scores_gemma":[0.99806434,0.00080947886,0.00046636807,0.000072956376,0.0002081714,0.00037860445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010647903,0.00012321798,0.0002147243,0.00089066615,0.0016896414,0.0021302386,0.00029154678,0.0008445314,0.0038553125],"category_scores_gemma":[0.0038945284,0.000094396695,0.00013201906,0.0023482498,0.0036849717,0.0030578936,0.0018049326,0.0020414935,0.0002556559],"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":[0.0006528967,0.00017522858,0.37030277,0.00019241955,0.00008925533,0.0006348986,0.11389422,0.00065088744,0.0005294696,0.3698539,0.03290127,0.11012273],"study_design_scores_gemma":[0.00003982188,0.0001075599,0.690336,0.00041763054,0.000048833193,0.0002411686,0.075926304,0.0004947163,0.00043190122,0.08794081,0.14397457,0.00004073032],"about_ca_topic_score_codex":0.020332642,"about_ca_topic_score_gemma":0.03725066,"teacher_disagreement_score":0.020332642,"about_ca_system_score_codex":0.0014832303,"about_ca_system_score_gemma":0.00084026984,"threshold_uncertainty_score":0.04042858},"labels":[],"label_agreement":null},{"id":"W1981063913","doi":"10.1017/s0022050710000604","title":"Crossover Inventions And Knowledge Diffusion Of General Purpose Technologies? Evidence From The Electrical Technology","year":2008,"lang":"en","type":"article","venue":"The Journal of Economic History","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Crossover; Productivity; Industrial organization; Diffusion; Human capital; Capital (architecture); Economic geography; Economics; Business; Engineering; Economic system; Neoclassical economics; Market economy; Economic growth; Computer science; Geography; Artificial intelligence; Physics","score_opus":0.05601326928033754,"score_gpt":0.22844224821899645,"score_spread":0.1724289789386589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981063913","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":[0.95055413,0.006513723,0.0015187135,0.0026264114,0.000025702935,0.000031086052,0.00038180218,0.000017182614,0.03833121],"genre_scores_gemma":[0.9950181,0.002779419,0.00036730745,0.00014476293,0.000039591687,0.000008444667,0.00015921038,0.0000044703293,0.0014785879],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986273,0.00047010535,0.00010496578,0.00031755833,0.00025986985,0.00022020696],"domain_scores_gemma":[0.95239085,0.032024425,0.0098187905,0.0023487802,0.0019640455,0.0014532254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030292661,0.00020373543,0.0005593931,0.002724857,0.0008799759,0.0025959478,0.00057458377,0.0012526667,0.011016589],"category_scores_gemma":[0.023322124,0.00022104326,0.00049892097,0.003945924,0.0025298933,0.0044778013,0.0018952868,0.0012146635,0.0007531669],"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":[0.0014553018,0.0007196184,0.72089785,0.0013663195,0.0005699022,0.0021329743,0.016873466,0.004466242,0.0018132409,0.080055304,0.0033661143,0.16628377],"study_design_scores_gemma":[0.00025144592,0.00034868918,0.91661936,0.0004923297,0.00038000164,0.0009195269,0.011592933,0.002843456,0.0013749531,0.036911745,0.028195,0.000070505994],"about_ca_topic_score_codex":0.0069240746,"about_ca_topic_score_gemma":0.0062949676,"teacher_disagreement_score":0.011016589,"about_ca_system_score_codex":0.0008592943,"about_ca_system_score_gemma":0.0006145993,"threshold_uncertainty_score":0.036854148},"labels":[],"label_agreement":null},{"id":"W1981166744","doi":"10.1177/000494410104500305","title":"The Contribution of the Higher Education Sector to Australian Research and Development","year":2001,"lang":"en","type":"article","venue":"Australian Journal of Education","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":9,"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":"Deakin University","keywords":"Higher education; Work (physics); Empirical research; Quarter (Canadian coin); Educational research; Research development; Economic growth; Political science; Sociology; Social science; Economics; Geography; Engineering","score_opus":0.13364398310103412,"score_gpt":0.33198341527959097,"score_spread":0.19833943217855685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981166744","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14225134,0.38771313,0.009940542,0.27096084,0.003444707,0.0002595713,0.000984602,0.00020678433,0.18423843],"genre_scores_gemma":[0.609322,0.3240581,0.013346456,0.015774935,0.0025071232,0.000115221905,0.00051630236,0.0001114031,0.034248497],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9735257,0.010904529,0.0015154599,0.0010458424,0.010958061,0.0020504268],"domain_scores_gemma":[0.94342905,0.022691937,0.006831886,0.0029725914,0.017892068,0.0061824275],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.015345118,0.00047235866,0.0007828298,0.0054114764,0.0027025961,0.011697457,0.0010508492,0.0021398827,0.007833714],"category_scores_gemma":[0.044731528,0.00056728756,0.0005498197,0.012059453,0.0029231994,0.0037462676,0.0065542166,0.002807282,0.0018832658],"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":[0.0001517007,0.00012082219,0.04958364,0.007926579,0.00022743066,0.0011051291,0.008845899,0.0014216072,0.0022352757,0.07330495,0.031539243,0.82353765],"study_design_scores_gemma":[0.000017495748,0.00018617796,0.13268259,0.003365421,0.00016495083,0.0010971588,0.0055880565,0.001730061,0.0009779126,0.02928419,0.8248358,0.00007016745],"about_ca_topic_score_codex":0.039547924,"about_ca_topic_score_gemma":0.04857531,"teacher_disagreement_score":0.9846549,"about_ca_system_score_codex":0.009331173,"about_ca_system_score_gemma":0.02650651,"threshold_uncertainty_score":0.08115369},"labels":[],"label_agreement":null},{"id":"W1981949844","doi":"10.1080/00220388.2010.492862","title":"Cross-Country Disparity in Agricultural Productivity: Quantifying the Role of Modern Seed Adoption","year":2010,"lang":"en","type":"article","venue":"The Journal of Development Studies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Productivity; Green Revolution; Agriculture; Developing country; Agricultural productivity; Inequality; Economics; Agricultural economics; Agricultural biotechnology; Demographic economics; Labour economics; Development economics; Economic growth; Geography","score_opus":0.04557094582093087,"score_gpt":0.25969892483756074,"score_spread":0.2141279790166299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981949844","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":[0.9978842,0.00027481868,0.0006861291,0.00012301945,0.000004566257,0.000003670329,0.00015328279,0.0000030157175,0.0008673492],"genre_scores_gemma":[0.9996823,0.00005299291,0.00008906004,0.000009563002,0.0000031336667,0.0000015657721,0.000105699,7.534756e-7,0.000055010343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987399,0.0006855144,0.000060412836,0.0002023101,0.00009434979,0.0002176822],"domain_scores_gemma":[0.99358326,0.0031472135,0.001989523,0.0006259901,0.00029408783,0.00035987358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022132853,0.00018358228,0.00035619896,0.0008090729,0.00033011587,0.00112795,0.00027185612,0.00038224927,0.0011125713],"category_scores_gemma":[0.009254564,0.00010831592,0.00041929624,0.0018072529,0.0007543866,0.0008786919,0.0015194793,0.0006764115,0.0001394345],"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":[0.00008249281,0.00003750973,0.98883635,0.000017123099,0.00018719806,0.00009602444,0.0004248448,0.0024629836,0.0002869471,0.0017222944,0.00015168235,0.005694569],"study_design_scores_gemma":[0.000004968872,0.000051535204,0.9936562,0.000017125165,0.000057352743,0.00006816577,0.0008971324,0.003214431,0.00021923975,0.0012615805,0.00054361933,0.000008626954],"about_ca_topic_score_codex":0.008717802,"about_ca_topic_score_gemma":0.0070973993,"teacher_disagreement_score":0.008717802,"about_ca_system_score_codex":0.0003889164,"about_ca_system_score_gemma":0.00028058657,"threshold_uncertainty_score":0.017334104},"labels":[],"label_agreement":null},{"id":"W1982184388","doi":"10.1007/s00168-005-0040-8","title":"North–South transfers vs biodiversity conservation: a trade differential game","year":2006,"lang":"en","type":"article","venue":"The Annals of Regional Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"HEC Montréal; Junta de Castilla y León","keywords":"Biodiversity; Natural capital; Economics; Production (economics); Consumption (sociology); Capital (architecture); Natural resource economics; Biodiversity conservation; Differential (mechanical device); Developing country; Differential effects; Variable (mathematics); Geography; Fishery; Microeconomics; Ecology; Biology; Economic growth; Mathematics; Ecosystem; Engineering","score_opus":0.11340761732156882,"score_gpt":0.23576121823971094,"score_spread":0.12235360091814212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982184388","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":[0.59131515,0.0013544511,0.15738739,0.022410117,0.0003357181,0.00013161355,0.00034579946,0.0000955605,0.22662418],"genre_scores_gemma":[0.98688215,0.00039055565,0.0022243408,0.00048992096,0.00008683757,0.000028827579,0.000016116706,0.000013771683,0.009867507],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929404,0.00036529318,0.000019941934,0.000102141705,0.00005398565,0.00016458437],"domain_scores_gemma":[0.996777,0.0023502642,0.0002693824,0.00012071494,0.00008561752,0.000397037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022280663,0.0007142955,0.0015912525,0.00067336316,0.0014599444,0.0042994064,0.0016634103,0.0061938376,0.013867091],"category_scores_gemma":[0.0051096748,0.0004455515,0.0011010817,0.00086349796,0.00442022,0.006803802,0.0024902984,0.0027898438,0.00046859798],"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":[0.00065780146,0.0001358109,0.0018613888,0.000110620706,0.00013168846,0.0004870199,0.00033865948,0.11279294,0.0016807949,0.8638549,0.004511539,0.013436917],"study_design_scores_gemma":[0.00021346561,0.00016084134,0.0012786866,0.00004332282,0.00013179673,0.00022776557,0.0005558711,0.15412581,0.00029391015,0.8394914,0.0034349163,0.000042151125],"about_ca_topic_score_codex":0.0047748443,"about_ca_topic_score_gemma":0.0055242274,"teacher_disagreement_score":0.013867091,"about_ca_system_score_codex":0.0028108603,"about_ca_system_score_gemma":0.0011585536,"threshold_uncertainty_score":0.046389997},"labels":[],"label_agreement":null},{"id":"W1983422137","doi":"10.7202/012840ar","title":"Les gains de productivité au moyen de l’usage des technologies de l’information : l’expérience australienne","year":2006,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.047208631674993874,"score_gpt":0.23465309258626582,"score_spread":0.18744446091127195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983422137","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":[0.9226396,0.001028894,0.0031936693,0.00090124755,0.000032751344,0.000048949634,0.00020601884,0.00004488368,0.071903974],"genre_scores_gemma":[0.95827234,0.0014239444,0.0029148632,0.000116251875,0.000032776217,0.000041038824,0.00012431963,0.000039686543,0.037034713],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985464,0.00037595196,0.000060807735,0.00020005893,0.0005511823,0.00026554102],"domain_scores_gemma":[0.9940732,0.0028139132,0.0007738767,0.0005122503,0.001389918,0.00043686415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00251933,0.00030280562,0.00031090886,0.0011025455,0.0008834166,0.003305423,0.00039097064,0.0006538947,0.0065645725],"category_scores_gemma":[0.0054252394,0.00021242972,0.0003724587,0.0023865574,0.0012226653,0.002770121,0.0015291586,0.0010563155,0.0011017176],"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":[0.001307626,0.0008629743,0.16024634,0.0009820134,0.0001170096,0.0017267767,0.11184882,0.0038995931,0.031779442,0.03804057,0.005584647,0.6436042],"study_design_scores_gemma":[0.000111846864,0.0024270916,0.53962743,0.00035001064,0.0001795926,0.0020807206,0.05015229,0.005005924,0.03485982,0.008768318,0.35627732,0.00015960522],"about_ca_topic_score_codex":0.02566003,"about_ca_topic_score_gemma":0.029383603,"teacher_disagreement_score":0.02566003,"about_ca_system_score_codex":0.002435867,"about_ca_system_score_gemma":0.001855142,"threshold_uncertainty_score":0.051021338},"labels":[],"label_agreement":null},{"id":"W1985076164","doi":"10.1080/08853900801970502","title":"Real Output Convergence and Trade Openness: Fuzzy Clustering and Time Series Evidence","year":2008,"lang":"en","type":"article","venue":"The International Trade Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Openness to experience; Economics; Convergence (economics); Econometrics; Empirical evidence; Free trade; Time series; International economics; Order (exchange); Bilateral trade; Macroeconomics; Mathematics; Statistics; Psychology","score_opus":0.07042749808719587,"score_gpt":0.2381405642248446,"score_spread":0.16771306613764872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985076164","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":[0.9777439,0.0021847133,0.013138943,0.0009911776,0.000024806108,0.000021563084,0.00032742083,0.000039914088,0.00552758],"genre_scores_gemma":[0.9969773,0.00063098327,0.0017259667,0.000034050277,0.000039324237,0.000004254752,0.00034340812,0.000004739038,0.00023998077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99849415,0.00057467364,0.0001575528,0.00030825165,0.00035616,0.000109162465],"domain_scores_gemma":[0.97022724,0.01957758,0.004481234,0.0025329166,0.0023290536,0.00085199525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004191435,0.0002720781,0.0007900331,0.0058468026,0.0010156933,0.0022437088,0.0010100281,0.0011643005,0.0038073652],"category_scores_gemma":[0.0274439,0.00022014891,0.0009851317,0.006440061,0.0021937704,0.00274196,0.0012871418,0.0010037118,0.00038991877],"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":[0.0011091408,0.0002510717,0.7801918,0.00037232044,0.0014422243,0.0012245112,0.0025138762,0.074971326,0.001042238,0.052782107,0.0018174987,0.08228189],"study_design_scores_gemma":[0.00007349004,0.00013699298,0.72503966,0.00018266925,0.00029638907,0.0007942399,0.0038177143,0.16315004,0.00075120496,0.10302127,0.002619571,0.0001167677],"about_ca_topic_score_codex":0.007894572,"about_ca_topic_score_gemma":0.004393736,"teacher_disagreement_score":0.007894572,"about_ca_system_score_codex":0.0008714532,"about_ca_system_score_gemma":0.0003195032,"threshold_uncertainty_score":0.02216667},"labels":[],"label_agreement":null},{"id":"W1985163539","doi":"10.1287/isre.1090.0229","title":"<b>Research Note</b>—Does Technological Progress Alter the Nature of Information Technology as a Production Input? New Evidence and New Results","year":2009,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":101,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Elasticity of substitution; Economics; Renting; Substitution (logic); Production (economics); Microeconomics; Industrial organization; Information technology; The Internet; Capital (architecture); Marketing; Econometrics; Business; Computer science","score_opus":0.0874919747460556,"score_gpt":0.35055511837536285,"score_spread":0.26306314362930727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985163539","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15666872,0.22144926,0.019578645,0.4151622,0.0060216878,0.0001366824,0.0056788214,0.00023526873,0.17506877],"genre_scores_gemma":[0.7598873,0.15168932,0.0099427095,0.04575907,0.016383873,0.00007343141,0.002353197,0.00010984175,0.013801248],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99773175,0.00067339715,0.00017180628,0.0006992927,0.00056859094,0.00015522323],"domain_scores_gemma":[0.9209753,0.06116254,0.008941674,0.002892099,0.005083126,0.0009453409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004228587,0.00052171707,0.00061388046,0.0029296542,0.0010023945,0.0046687885,0.0012901194,0.002588803,0.026102472],"category_scores_gemma":[0.016980693,0.00023520332,0.00079117226,0.0069827223,0.0044070575,0.0094026085,0.0013350975,0.002475212,0.0037823191],"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":[0.0006920911,0.0007291134,0.15437053,0.004520423,0.0005353041,0.0013154227,0.0013491262,0.0028793684,0.0033105933,0.24084802,0.13537645,0.45407352],"study_design_scores_gemma":[0.0000890933,0.00035364827,0.29144195,0.005751023,0.000532194,0.0017082095,0.01102628,0.0068679554,0.0059293546,0.35235527,0.32371962,0.000225431],"about_ca_topic_score_codex":0.0061326637,"about_ca_topic_score_gemma":0.0063462513,"teacher_disagreement_score":0.026102472,"about_ca_system_score_codex":0.0019918499,"about_ca_system_score_gemma":0.0013259226,"threshold_uncertainty_score":0.08732152},"labels":[],"label_agreement":null},{"id":"W1985802425","doi":"10.1108/14691930410567068","title":"Intellectual capital, social policy, economic development and the world evolution","year":2004,"lang":"en","type":"article","venue":"Journal of Intellectual Capital","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"European union; Intellectual capital; Politics; Investment (military); Democratization; Economics; Globalization; Capital (architecture); Economic system; Economic growth; Development economics; International trade; Political science; Market economy; Democracy; Finance; Law","score_opus":0.02210132207204859,"score_gpt":0.2195175163116451,"score_spread":0.1974161942395965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985802425","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":[0.5212484,0.04973521,0.009155027,0.035165396,0.00031249286,0.00005619952,0.0008025905,0.000080210964,0.38344455],"genre_scores_gemma":[0.9871159,0.008940547,0.0005223944,0.0002338461,0.000087366825,0.0000143569505,0.00008149761,0.0000041297412,0.002999943],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996853,0.0001515279,0.000011641121,0.000030469691,0.00004088599,0.000080152255],"domain_scores_gemma":[0.9981704,0.0010301247,0.00051459,0.000048696686,0.00009693696,0.00013916535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006039174,0.00024528152,0.00022128702,0.0015249285,0.00074204983,0.0036111064,0.00020739091,0.0008225706,0.004140872],"category_scores_gemma":[0.0022137205,0.000061864266,0.00014644608,0.0041417116,0.0026416138,0.0027385016,0.0010757626,0.00071980356,0.00015396501],"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":[0.0000331338,0.00005449093,0.021305162,0.00012181093,0.00003741655,0.0002594208,0.00047943174,0.0072381995,0.00007518178,0.9399688,0.0022491312,0.028177865],"study_design_scores_gemma":[0.000018329623,0.0000722504,0.05334575,0.0003016875,0.000032416854,0.00033442286,0.0033279092,0.0083592525,0.00022294707,0.8646829,0.06927135,0.00003079642],"about_ca_topic_score_codex":0.006384502,"about_ca_topic_score_gemma":0.0060247555,"teacher_disagreement_score":0.006384502,"about_ca_system_score_codex":0.0032950507,"about_ca_system_score_gemma":0.0012802576,"threshold_uncertainty_score":0.023907363},"labels":[],"label_agreement":null},{"id":"W1988847195","doi":"10.1111/j.1530-9290.2012.00489.x","title":"<i>The Economic Growth Engine: How Energy and Work Drive Material Prosperity</i> by Robert U. Ayres and Benjamin Warr","year":2012,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Economic Growth and Productivity","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":"Carleton University","funders":"","keywords":"Prosperity; Citation; Work (physics); Library science; Sociology; Political science; Computer science; Law; Engineering; Mechanical engineering","score_opus":0.013073372616301046,"score_gpt":0.1796215191147813,"score_spread":0.16654814649848027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988847195","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":[0.00086312403,0.26824993,0.003024361,0.643866,0.044997264,0.000017138682,0.000308789,0.00011762679,0.038555786],"genre_scores_gemma":[0.06399402,0.42171618,0.005722254,0.19051544,0.088528134,0.00012869583,0.00052775606,0.00046968655,0.22839789],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992514,0.00026887312,0.000031819574,0.00016501725,0.00022345768,0.000059440667],"domain_scores_gemma":[0.99813986,0.0009677785,0.00015970775,0.00007668652,0.00044627753,0.00020967936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014810854,0.0014782632,0.00074215664,0.0015141936,0.0018955023,0.005879419,0.0011028901,0.003248595,0.009654844],"category_scores_gemma":[0.0043389695,0.0004182503,0.0007988395,0.0023630664,0.004839185,0.0059781475,0.002104956,0.006715447,0.005932289],"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":[0.000014322224,0.000008271986,0.00030640463,0.000104501465,0.000017318096,0.000021001613,0.00016892668,0.00015958918,0.000068696216,0.027070036,0.95564646,0.01641443],"study_design_scores_gemma":[0.000008470482,0.000012415525,0.0013746746,0.0005236027,0.00002006274,0.00009231959,0.0005150391,0.00043446626,0.0002379007,0.06788366,0.9288631,0.00003431497],"about_ca_topic_score_codex":0.018563123,"about_ca_topic_score_gemma":0.026794009,"teacher_disagreement_score":0.018563123,"about_ca_system_score_codex":0.002422279,"about_ca_system_score_gemma":0.0022098834,"threshold_uncertainty_score":0.036910117},"labels":[],"label_agreement":null},{"id":"W1989237677","doi":"10.1111/j.0008-4085.2005.00331.x","title":"Minorities and majorities: a dynamic model of assimilation","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multiculturalism; Assimilation (phonology); Melting pot; Outcome (game theory); Ethnic group; Population; Minority group; Path (computing); Econometrics; Demographic economics; Economics; Computer science; Mathematical economics; Sociology; Demography; Political science; Linguistics; Law","score_opus":0.11770533800911802,"score_gpt":0.17232783977316143,"score_spread":0.054622501764043416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989237677","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":[0.5400575,0.0014306938,0.130329,0.01891282,0.00052409415,0.00019675578,0.001968817,0.00021294477,0.30636728],"genre_scores_gemma":[0.93445,0.00054974266,0.0037963565,0.00047506308,0.00013245615,0.00010216343,0.0002544013,0.000039536993,0.060200308],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946505,0.00018030094,0.000017144645,0.0001102881,0.00006345168,0.00016368485],"domain_scores_gemma":[0.9990515,0.00033208565,0.00016648672,0.00005862778,0.00010998372,0.00028139912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009478195,0.00051112124,0.00093999674,0.0005843672,0.0016804282,0.0039397087,0.0020545686,0.002518333,0.021464411],"category_scores_gemma":[0.0029717698,0.00041126704,0.0010750962,0.0008671064,0.0016953221,0.0028137832,0.0030152847,0.0020201018,0.0019354795],"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":[0.00023247337,0.00016474992,0.0062980824,0.00007039984,0.00008756046,0.00091547857,0.0014768405,0.19790289,0.00076300505,0.77305317,0.009374778,0.009660592],"study_design_scores_gemma":[0.000210454,0.00009794672,0.0024462875,0.00005911764,0.00007024097,0.0003588918,0.0014975753,0.5921363,0.00016624124,0.38352832,0.019362174,0.00006631029],"about_ca_topic_score_codex":0.025025142,"about_ca_topic_score_gemma":0.013326496,"teacher_disagreement_score":0.025025142,"about_ca_system_score_codex":0.0022940887,"about_ca_system_score_gemma":0.0012660609,"threshold_uncertainty_score":0.0718056},"labels":[],"label_agreement":null},{"id":"W1990331496","doi":"10.1162/asep_a_00009","title":"Measuring Economic Integration in the Asia-Pacific Region: A Principal Components Approach","year":2010,"lang":"en","type":"article","venue":"Asian Economic Papers","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Asia Pacific Foundation of Canada","funders":"","keywords":"Convergence (economics); Index (typography); Tourism; Composite index; Economic integration; Foreign direct investment; China; Sample (material); Economics; Principal component analysis; Economic indicator; Investment (military); Geography; Composite indicator; Economy; Economic geography; International economics; Econometrics; Mathematics; Economic growth; Statistics; Macroeconomics; Political science; Computer science","score_opus":0.0504309185909785,"score_gpt":0.2037572997756827,"score_spread":0.15332638118470418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990331496","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":[0.8475736,0.0013307855,0.13030149,0.000451865,0.000090826135,0.00047764747,0.0011085939,0.00029327412,0.01837194],"genre_scores_gemma":[0.93029535,0.0007952514,0.06688146,0.000034115914,0.00004709855,0.00025177063,0.0008736685,0.000027992286,0.00079324795],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984604,0.0006086014,0.00013427246,0.00018933482,0.0005238197,0.0000835165],"domain_scores_gemma":[0.99829775,0.0004525352,0.00042115158,0.000115826195,0.0005837182,0.00012897658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00202296,0.0010678596,0.0006524557,0.006154946,0.00063195976,0.002696094,0.00047880202,0.00034372933,0.0012427074],"category_scores_gemma":[0.005901407,0.00028450735,0.0006390705,0.008868442,0.0005345415,0.0013747704,0.0015096327,0.000841691,0.00031833808],"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":[0.00016997178,0.00042923007,0.7156064,0.0003085609,0.0013639018,0.00028470863,0.0024954982,0.022246115,0.0034390155,0.018134344,0.0029569955,0.23256527],"study_design_scores_gemma":[0.0000333598,0.00023553544,0.87357575,0.00017165465,0.0004688087,0.0002475585,0.003919607,0.09031256,0.0022857995,0.020433417,0.008234875,0.00008111416],"about_ca_topic_score_codex":0.006484594,"about_ca_topic_score_gemma":0.004743849,"teacher_disagreement_score":0.006484594,"about_ca_system_score_codex":0.00064993824,"about_ca_system_score_gemma":0.001409461,"threshold_uncertainty_score":0.012893736},"labels":[],"label_agreement":null},{"id":"W1990342896","doi":"10.1007/s10961-012-9259-6","title":"Productivity growth, trade and FDI nexus: evidence from the Canadian manufacturing sector","year":2012,"lang":"en","type":"article","venue":"The Journal of Technology Transfer","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Innovation, Science and Economic Development Canada; Government of Canada","funders":"","keywords":"Lagging; Nexus (standard); Foreign direct investment; Technology transfer; Productivity; International trade; Economics; International economics; Panel data; Total factor productivity; Economic geography; Macroeconomics; Econometrics; Engineering","score_opus":0.03756876243550231,"score_gpt":0.2004868404053812,"score_spread":0.1629180779698789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990342896","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":[0.973027,0.005788829,0.00016225474,0.0026697842,0.000023192222,0.000022361415,0.0061285654,0.000022862861,0.012155067],"genre_scores_gemma":[0.98923033,0.004744104,0.00012041668,0.00014645606,0.000020980413,0.0000056537956,0.0029506735,0.000006010972,0.0027752283],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991856,0.000046621793,0.000033951314,0.00007736541,0.00035558266,0.00030089024],"domain_scores_gemma":[0.99395186,0.0013154008,0.001216751,0.00018875078,0.0026986308,0.00062852155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009886656,0.0004681509,0.0004183835,0.0040976033,0.002269581,0.0022513096,0.0009232312,0.0006277239,0.0037906002],"category_scores_gemma":[0.0054870183,0.00021065376,0.0006511271,0.013100436,0.0011988779,0.00094474107,0.0010579056,0.00085204124,0.00037261887],"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":[0.00034080553,0.00015660781,0.9402634,0.00028236734,0.0002928002,0.00056551676,0.0022864733,0.0028087045,0.00055036705,0.0050172866,0.010668991,0.0367666],"study_design_scores_gemma":[0.0000148785,0.000016652135,0.9919546,0.000054707365,0.00011476603,0.000033919598,0.0019638012,0.0007768065,0.000199652,0.00032127678,0.0045272345,0.000021696744],"about_ca_topic_score_codex":0.9935275,"about_ca_topic_score_gemma":0.99686784,"teacher_disagreement_score":0.022244878,"about_ca_system_score_codex":0.022244878,"about_ca_system_score_gemma":0.02952466,"threshold_uncertainty_score":0.16139865},"labels":[],"label_agreement":null},{"id":"W1991337910","doi":"10.1111/twec.12170","title":"Absolute and Conditional Convergence in Both Zones of <scp>C</scp>yprus: Statistical Convergence and Insitutional Divergence","year":2014,"lang":"en","type":"article","venue":"World Economy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Conditional convergence; Convergence (economics); Economics; Productivity; Per capita income; Econometrics; Per capita; Divergence (linguistics); Total factor productivity; Econometric model; Population; Macroeconomics; Demography","score_opus":0.01681952450448079,"score_gpt":0.2031837942105132,"score_spread":0.1863642697060324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991337910","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":[0.99020725,0.00005265951,0.0051026596,0.0001390148,0.000007984719,0.000007589056,0.00015831659,0.000023146054,0.004301319],"genre_scores_gemma":[0.9991898,0.000016551323,0.00035012508,0.000006578558,0.0000031645436,0.0000036041577,0.00011595577,0.0000044156955,0.00030972334],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923515,0.00025065485,0.00005063606,0.00014741535,0.00013449806,0.00018168522],"domain_scores_gemma":[0.994743,0.0023854733,0.0011552976,0.00046812498,0.0009120533,0.0003360457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002158692,0.00013798765,0.00033354515,0.001030545,0.0003004602,0.0013510643,0.00043886103,0.00027871807,0.003001157],"category_scores_gemma":[0.009229781,0.0001289723,0.00044341054,0.0009317039,0.0010204308,0.0008941614,0.0011238015,0.0006685526,0.00029108158],"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":[0.0007701413,0.00012430927,0.77853703,0.00008682631,0.00026048426,0.00096791063,0.0023374313,0.10830066,0.003478132,0.07238501,0.0017950897,0.030957],"study_design_scores_gemma":[0.000016610402,0.00018227159,0.76523006,0.00003846075,0.000057113368,0.00028159868,0.0026947206,0.20779619,0.0018332077,0.019725528,0.002095037,0.000049247577],"about_ca_topic_score_codex":0.014760506,"about_ca_topic_score_gemma":0.0071062525,"teacher_disagreement_score":0.014760506,"about_ca_system_score_codex":0.0009140173,"about_ca_system_score_gemma":0.00049771945,"threshold_uncertainty_score":0.029349148},"labels":[],"label_agreement":null},{"id":"W1991473330","doi":"10.1007/s10842-011-0122-5","title":"Market Incentives for Business Innovation: Results from Canada","year":2012,"lang":"en","type":"article","venue":"Journal of Industry Competition and Trade","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":68,"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 de Moncton; Innovation, Science and Economic Development Canada","funders":"","keywords":"Incentive; Competition (biology); Industrial organization; Market power; R&D intensity; Sample (material); Frontier; Agency (philosophy); Manufacturing; Technological change; Empirical evidence; Economics; Empirical research; Market concentration; Business; Market structure; Microeconomics; Marketing; Monopoly; Management","score_opus":0.04037613585104945,"score_gpt":0.21488568304059072,"score_spread":0.17450954718954126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991473330","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":[0.96010244,0.002130599,0.0002624827,0.0017796101,0.000022266287,0.00014226354,0.00935435,0.00004656106,0.026159385],"genre_scores_gemma":[0.9862307,0.0010543555,0.00026303416,0.00015804407,0.000011199157,0.000026569158,0.0033186625,0.000013593745,0.008923856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985903,0.00014968855,0.000054091463,0.000135017,0.00056036847,0.0005105864],"domain_scores_gemma":[0.9896528,0.003404622,0.0013043814,0.00033213623,0.003836859,0.0014692902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015389359,0.00034016123,0.00071356754,0.0019364919,0.0023967298,0.0025387083,0.0011669368,0.0010061872,0.009147524],"category_scores_gemma":[0.009508962,0.00028383653,0.00076324976,0.005525579,0.0011831778,0.0007868014,0.0011146028,0.0009085672,0.000576651],"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":[0.005147727,0.0015591418,0.8405299,0.00074415305,0.0007289478,0.0005329163,0.0031176012,0.0120808985,0.0010296898,0.017904248,0.052761625,0.06386314],"study_design_scores_gemma":[0.00057578774,0.00019452556,0.9699793,0.00008534571,0.0003969086,0.000061016628,0.0038388323,0.004453355,0.00062399416,0.0015015114,0.018193476,0.00009597982],"about_ca_topic_score_codex":0.9945416,"about_ca_topic_score_gemma":0.9966427,"teacher_disagreement_score":0.035660345,"about_ca_system_score_codex":0.035660345,"about_ca_system_score_gemma":0.058888875,"threshold_uncertainty_score":0.25873512},"labels":[],"label_agreement":null},{"id":"W1991976077","doi":"10.1177/0027950110389762","title":"Unemployment and Real Wages in the Great Depression","year":2010,"lang":"en","type":"article","venue":"National Institute Economic Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Unemployment; Great Depression; Depression (economics); Economics; Labour economics; Product (mathematics); Demographic economics; Macroeconomics; Political science","score_opus":0.05735605249701573,"score_gpt":0.28496086965433987,"score_spread":0.22760481715732414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991976077","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":[0.9960437,0.00036916437,0.00006285138,0.0003329121,0.00000585233,0.000002805182,0.0017334997,0.000002991328,0.0014462648],"genre_scores_gemma":[0.99778533,0.00020580752,0.00002772996,0.000031741693,0.0000060143275,0.0000026897915,0.0015800862,0.0000010617023,0.0003594386],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974996,0.00006601958,0.000022196764,0.00004280085,0.000044769433,0.00007429806],"domain_scores_gemma":[0.9992261,0.00016472941,0.0003328143,0.000049182003,0.00009010344,0.00013709356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043279317,0.0000784005,0.00023814834,0.0006427605,0.00024734015,0.00052010064,0.00018263547,0.00021497215,0.0010788471],"category_scores_gemma":[0.0022309548,0.00013746535,0.000152352,0.001382997,0.00024710537,0.0002620981,0.0006557441,0.0004718726,0.00021982004],"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":[0.000120653596,0.000037962553,0.9877664,0.000040501283,0.000100292615,0.00016485841,0.00092413847,0.0011862847,0.00017292045,0.0010360728,0.0026932063,0.0057567754],"study_design_scores_gemma":[0.0000052968194,0.000009289686,0.99801195,0.00001115528,0.0000090079775,0.00002749439,0.000286824,0.00036450717,0.00002589281,0.00012719037,0.0011190693,0.0000022591253],"about_ca_topic_score_codex":0.06579769,"about_ca_topic_score_gemma":0.09252341,"teacher_disagreement_score":0.06579769,"about_ca_system_score_codex":0.00069523446,"about_ca_system_score_gemma":0.00034251524,"threshold_uncertainty_score":0.1308294},"labels":[],"label_agreement":null},{"id":"W1992428329","doi":"10.1111/j.1536-7150.2005.00368.x","title":"Comments on William D. Nordhaus’s, “Irving Fisher and the Contribution of Improved Longevity to Living Standards”","year":2005,"lang":"en","type":"article","venue":"American Journal of Economics and Sociology","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Longevity; Economics; Standard of living; Positive economics; Gerontology; Medicine","score_opus":0.011651855194412452,"score_gpt":0.2276281312139203,"score_spread":0.21597627601950786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992428329","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":[0.00054182264,0.0028804718,0.00016327685,0.97105676,0.021304997,0.000009805397,0.00023585977,0.000023143253,0.0037838272],"genre_scores_gemma":[0.014634805,0.005711933,0.0004912388,0.9071217,0.03302464,0.000063167325,0.00015897387,0.000106457366,0.038687173],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99751484,0.00076030236,0.0002334946,0.00044210782,0.00076930784,0.00027996805],"domain_scores_gemma":[0.97900796,0.013499167,0.0012630017,0.0003571549,0.0049199257,0.0009528528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051530926,0.0011998867,0.000998644,0.0011245501,0.0046403483,0.002535789,0.0020731182,0.015530557,0.0121057285],"category_scores_gemma":[0.035162482,0.000679621,0.0006561417,0.0021310456,0.002522241,0.0037806595,0.0017027599,0.014445788,0.004999136],"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":[0.000013700936,0.0000030783701,0.00009493263,0.000018321418,0.0000014758409,0.00004859688,0.00018146803,0.00002574957,0.000026335203,0.0020155828,0.9963051,0.0012656731],"study_design_scores_gemma":[0.000019568235,0.000015853067,0.0018070834,0.00028491678,0.000009588944,0.00010920855,0.00093482103,0.00015034118,0.000331899,0.0050443523,0.9912395,0.000052798427],"about_ca_topic_score_codex":0.038635463,"about_ca_topic_score_gemma":0.05514055,"teacher_disagreement_score":0.038635463,"about_ca_system_score_codex":0.0038924261,"about_ca_system_score_gemma":0.0035237903,"threshold_uncertainty_score":0.07682115},"labels":[],"label_agreement":null},{"id":"W1992626193","doi":"10.1007/s10887-011-9072-3","title":"A polarization-cohesion perspective on cross-country convergence","year":2011,"lang":"en","type":"article","venue":"Journal of Economic Growth","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":40,"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. Francis Xavier University; University of Toronto","funders":"Economic and Social Research Council","keywords":"Polarization (electrochemistry); Weighting; Econometrics; Economics; Demographic economics; Per capita; Population; Statistics; Mathematics; Demography; Physics; Chemistry; Sociology","score_opus":0.035266808204188586,"score_gpt":0.24175835404361543,"score_spread":0.20649154583942683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992626193","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":[0.31171188,0.003909672,0.082255244,0.028036166,0.0005443854,0.000064605454,0.00030616057,0.000057952173,0.5731139],"genre_scores_gemma":[0.9886282,0.0013443771,0.0026365186,0.0005705162,0.0003601984,0.000051606203,0.000067575515,0.000018178614,0.0063228398],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989687,0.00047921276,0.000032297434,0.00011724378,0.00017594182,0.00022668447],"domain_scores_gemma":[0.9956585,0.0021524718,0.00055226724,0.000491006,0.0007710286,0.00037470937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027767746,0.00031692206,0.0005884938,0.0026892524,0.0023711426,0.003922229,0.00070188905,0.0012819006,0.00921778],"category_scores_gemma":[0.008159876,0.00019462525,0.00043275376,0.003024289,0.003900712,0.006406737,0.0044808723,0.0022220586,0.00048233406],"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":[0.000023843048,0.000013591462,0.0016704287,0.000018002502,0.00001565281,0.000069914335,0.00071321114,0.00091256906,0.00007625351,0.98652214,0.0009965714,0.008967843],"study_design_scores_gemma":[0.000016910024,0.000022986294,0.004750963,0.00006271462,0.000022903536,0.000088136316,0.0017273517,0.0022975085,0.0001044444,0.98197055,0.0089277355,0.000007856591],"about_ca_topic_score_codex":0.0021937818,"about_ca_topic_score_gemma":0.001090592,"teacher_disagreement_score":0.00921778,"about_ca_system_score_codex":0.0011006403,"about_ca_system_score_gemma":0.0006724035,"threshold_uncertainty_score":0.030836523},"labels":[],"label_agreement":null},{"id":"W1993668582","doi":"10.1007/978-1-4615-0963-9_1","title":"Small Firm Dynamism in East Asia: An Introductory Overview","year":2002,"lang":"en","type":"book-chapter","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":17,"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":"Dynamism; East Asia; Entrepreneurship; Economic geography; Quarter (Canadian coin); Public policy; Geography; Industrial policy; Economics; Development economics; Economy; Economic growth; International trade; China","score_opus":0.0826277532615727,"score_gpt":0.20439559504640548,"score_spread":0.12176784178483277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993668582","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027876765,0.8118866,0.01370048,0.007839266,0.0015199204,0.0000914764,0.0005582103,0.00013130122,0.13639602],"genre_scores_gemma":[0.11893055,0.7907779,0.005247914,0.0015976778,0.0037054513,0.00010420423,0.00046514013,0.00006823383,0.07910298],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9999361,0.000010428427,0.000006112004,0.0000147621695,0.000015501088,0.000017104536],"domain_scores_gemma":[0.9998247,0.00008202282,0.000026293039,0.000008883413,0.0000409997,0.000017102957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028204723,0.00060010643,0.00047453868,0.0018222651,0.0003587426,0.0016584204,0.0004464807,0.0006912427,0.004419987],"category_scores_gemma":[0.0003345062,0.00036039707,0.00036718274,0.0041045775,0.00052823994,0.0025429537,0.00058939273,0.00091116445,0.0010009019],"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":[0.00007502127,0.00028083776,0.009335876,0.0037113265,0.00008643522,0.0011650886,0.0017861428,0.009880207,0.0018701405,0.31918436,0.11204849,0.5405761],"study_design_scores_gemma":[0.00001125241,0.00013040913,0.032199673,0.0015840251,0.000082578656,0.0009971632,0.0012835183,0.0046083173,0.0006840017,0.17422897,0.7841525,0.00003747761],"about_ca_topic_score_codex":0.0065802704,"about_ca_topic_score_gemma":0.009467572,"teacher_disagreement_score":0.0065802704,"about_ca_system_score_codex":0.0013405962,"about_ca_system_score_gemma":0.0011582181,"threshold_uncertainty_score":0.014786303},"labels":[],"label_agreement":null},{"id":"W1995356680","doi":"10.1016/j.econlet.2008.06.007","title":"Extra! Extra! Some positive technology shocks are expansionary!","year":2008,"lang":"en","type":"article","venue":"Economics Letters","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"University of Toronto","funders":"","keywords":"Shock (circulatory); Economics; Technology shock; Total factor productivity; Measure (data warehouse); Technological change; Monetary economics; Econometrics; Macroeconomics; Productivity; Monetary policy; Computer science; Dynamic stochastic general equilibrium; Internal medicine; Medicine","score_opus":0.0227586714322154,"score_gpt":0.18271029959999927,"score_spread":0.15995162816778385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995356680","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":[0.21589576,0.0073461174,0.077548094,0.10295491,0.012469868,0.000097424614,0.0064018336,0.0041950005,0.57309103],"genre_scores_gemma":[0.86104023,0.004542554,0.005304304,0.010087812,0.0045117103,0.000050510207,0.0016731143,0.0007334443,0.11205624],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954236,0.00006901094,0.000028936243,0.00009198234,0.00015984676,0.00010783453],"domain_scores_gemma":[0.9968279,0.0012947131,0.00054486206,0.0006564629,0.0004628503,0.00021316824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008218098,0.0006259537,0.00063010864,0.0007554967,0.0007715844,0.003037734,0.00055519544,0.0016917799,0.058446035],"category_scores_gemma":[0.0074619073,0.00032590094,0.00059664826,0.0013811976,0.0009938797,0.0051631317,0.0013656542,0.0024775348,0.008515606],"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":[0.00069880503,0.00014796425,0.008158185,0.000826435,0.00013970844,0.0017778984,0.0005578077,0.0062390533,0.007894001,0.5100072,0.19976482,0.26378807],"study_design_scores_gemma":[0.00009520628,0.00015308594,0.034608558,0.0002446934,0.000117552845,0.0018205752,0.0006612591,0.007484259,0.0068769506,0.6645989,0.28321135,0.00012759304],"about_ca_topic_score_codex":0.0009889605,"about_ca_topic_score_gemma":0.0010187493,"teacher_disagreement_score":0.058446035,"about_ca_system_score_codex":0.00061334705,"about_ca_system_score_gemma":0.0004087143,"threshold_uncertainty_score":0.19552147},"labels":[],"label_agreement":null},{"id":"W1995780319","doi":"10.5539/ass.v10n7p163","title":"Addressing the Middle-Income Trap: Experience of Indonesia","year":2014,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Middle income trap; Economics; Gross fixed capital formation; Order (exchange); Investment (military); Measures of national income and output; Government (linguistics); China; Net national income; Trap (plumbing); Human capital; Position (finance); Income distribution; Gross domestic income; Distribution (mathematics); Developing country; Development economics; Economic growth; Gross domestic product; Macroeconomics; Market economy; Gross income; Geography; Inequality; Finance","score_opus":0.09127225009830144,"score_gpt":0.2718722032821257,"score_spread":0.18059995318382427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995780319","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":[0.9762463,0.0011137354,0.00016888187,0.0029910973,0.00010490646,0.000022553215,0.00006324699,0.000012918016,0.019276455],"genre_scores_gemma":[0.99366015,0.001520853,0.00011147902,0.0009299891,0.00002790723,0.00001338577,0.000042280233,0.000014735782,0.003679117],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9995912,0.0001228907,0.000022123693,0.000027007789,0.000052928128,0.00018381453],"domain_scores_gemma":[0.9993919,0.00007029111,0.000099264566,0.000022945116,0.000047515874,0.0003680691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007292465,0.00032437246,0.00040372508,0.00032199078,0.00399192,0.0026033784,0.000666058,0.0007205338,0.0033517214],"category_scores_gemma":[0.0010540385,0.00020800524,0.00023151062,0.0005809615,0.0018517078,0.0021897815,0.0032972675,0.0025074482,0.00064397615],"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":[0.0003485595,0.0013892791,0.19112825,0.0005485627,0.00005012707,0.033456918,0.6369034,0.00039240794,0.0027462658,0.013236042,0.024308227,0.095492],"study_design_scores_gemma":[0.000021073909,0.0002981872,0.0958512,0.00052561815,0.000033517666,0.008285621,0.80613863,0.00056522666,0.001128076,0.002116513,0.08495534,0.00008095483],"about_ca_topic_score_codex":0.0129357455,"about_ca_topic_score_gemma":0.019815153,"teacher_disagreement_score":0.0129357455,"about_ca_system_score_codex":0.001166634,"about_ca_system_score_gemma":0.0018133189,"threshold_uncertainty_score":0.025720954},"labels":[],"label_agreement":null},{"id":"W1996603074","doi":"10.1080/09638199.2011.558629","title":"Skilled–unskilled wage inequality and imitation in a product variety model: A theoretical analysis","year":2011,"lang":"en","type":"article","venue":"Journal of International Trade & Economic Development","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Indian Statistical Institute; Memorial University of Newfoundland","keywords":"Economics; Imitation; Labour economics; Wage; Welfare; Product (mathematics); Endowment; Wage inequality; Variety (cybernetics); Market economy","score_opus":0.040213567017430334,"score_gpt":0.2383124397998355,"score_spread":0.19809887278240515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996603074","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":[0.45683068,0.002425566,0.43065375,0.0075857434,0.00012632723,0.00013613596,0.00048487633,0.00017830376,0.10157865],"genre_scores_gemma":[0.98411036,0.0008309874,0.00543463,0.00014345726,0.00010549164,0.000074287505,0.00007828864,0.000016683849,0.009205832],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999468,0.00021831966,0.000014765972,0.000080464735,0.00006533052,0.00015316867],"domain_scores_gemma":[0.99712247,0.0019043701,0.0004501666,0.00014387908,0.00013721368,0.00024189793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012990902,0.0008516005,0.0009616439,0.0014659279,0.0009298101,0.0022949514,0.0016854393,0.0019201009,0.01031914],"category_scores_gemma":[0.0040907245,0.000390805,0.0010995148,0.0011846997,0.0025423141,0.002715179,0.0020103585,0.0017412142,0.000834533],"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":[0.00007213362,0.00015048639,0.003983753,0.000063883985,0.000043719006,0.0004683283,0.0003602078,0.14881265,0.0004840363,0.8371343,0.0016733768,0.006753057],"study_design_scores_gemma":[0.00004577649,0.00007452918,0.0018240663,0.00004012041,0.000028035389,0.00016913615,0.0002432166,0.66539276,0.000082319915,0.33054736,0.0015273244,0.000025352418],"about_ca_topic_score_codex":0.0061735427,"about_ca_topic_score_gemma":0.002949745,"teacher_disagreement_score":0.01031914,"about_ca_system_score_codex":0.0016584923,"about_ca_system_score_gemma":0.000745669,"threshold_uncertainty_score":0.034520984},"labels":[],"label_agreement":null},{"id":"W1998409249","doi":"10.1002/jae.813","title":"Economic development and the return to human capital: a smooth coefficient semiparametric approach","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":137,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"University of Cyprus","keywords":"Economics; Human capital; Total factor productivity; Econometrics; Index (typography); Physical capital; Macroeconomics; Productivity; Economic growth; Computer science","score_opus":0.03012185117537332,"score_gpt":0.21214268383949453,"score_spread":0.1820208326641212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998409249","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":[0.7351773,0.0011242377,0.2550878,0.0012524815,0.000022138742,0.0000449855,0.0006550325,0.00016521652,0.00647075],"genre_scores_gemma":[0.9941484,0.00036656982,0.0037295227,0.000037009526,0.000018909017,0.000017333003,0.00015777777,0.000014329194,0.0015101146],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923277,0.0004308975,0.00002409106,0.00011060496,0.000079082674,0.00012260648],"domain_scores_gemma":[0.988927,0.008415743,0.001273703,0.00069976505,0.00044149137,0.00024233689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002720456,0.00043436568,0.00077291485,0.0014133676,0.00023796088,0.0016397896,0.00053852325,0.0006721433,0.0031492035],"category_scores_gemma":[0.014200027,0.00041263664,0.00081105746,0.0010491117,0.0017064227,0.001201533,0.0016280317,0.001090056,0.0003853064],"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":[0.00018421032,0.00007759824,0.073159024,0.0001359688,0.00035657067,0.0004982528,0.00043326788,0.7667695,0.0016698814,0.12733775,0.0014554494,0.027922489],"study_design_scores_gemma":[0.000025314333,0.00008928271,0.03882816,0.00005999911,0.00011784891,0.00014211402,0.0002141458,0.83219856,0.0011023419,0.12542634,0.0017427764,0.0000530944],"about_ca_topic_score_codex":0.0040159672,"about_ca_topic_score_gemma":0.0022677039,"teacher_disagreement_score":0.0040159672,"about_ca_system_score_codex":0.0007169802,"about_ca_system_score_gemma":0.0005583253,"threshold_uncertainty_score":0.014387369},"labels":[],"label_agreement":null},{"id":"W1998479031","doi":"10.1111/j.1468-0297.2006.01051.x","title":"GPT‐Driven, Endogenous Growth","year":2006,"lang":"en","type":"article","venue":"The Economic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Economics; Endogenous growth theory; Growth model; Econometrics; Macroeconomics; Market economy","score_opus":0.031646716787536694,"score_gpt":0.18408753064765931,"score_spread":0.15244081386012262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998479031","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":[0.22461182,0.003832517,0.5294584,0.017009338,0.0005851614,0.00015958505,0.0018626831,0.00094419956,0.22153628],"genre_scores_gemma":[0.9291989,0.0018471394,0.013728968,0.0005259931,0.00012342751,0.00016476215,0.0002157672,0.00009911419,0.054095965],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996105,0.0000922001,0.000011581054,0.00010663388,0.00009345549,0.00008575426],"domain_scores_gemma":[0.9991943,0.0002795476,0.00016514509,0.00012578393,0.00013750757,0.0000977708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084574614,0.00075287593,0.00063574454,0.00048063157,0.00062467024,0.002146379,0.0012613942,0.0020993003,0.0065538655],"category_scores_gemma":[0.0039861947,0.00039366394,0.0010375684,0.0007587405,0.0019967156,0.0028020167,0.0018799468,0.0020326462,0.0013220053],"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":[0.00005523563,0.00002898475,0.0011905101,0.00008673921,0.000025082632,0.0004051322,0.00019150563,0.121573634,0.0013773981,0.85567605,0.005635265,0.013754437],"study_design_scores_gemma":[0.000047368514,0.000053543037,0.0008278203,0.000033280074,0.000020698091,0.0002792961,0.00008960839,0.30440742,0.0006928339,0.67736155,0.01615371,0.000032925996],"about_ca_topic_score_codex":0.0048278794,"about_ca_topic_score_gemma":0.0026200574,"teacher_disagreement_score":0.0065538655,"about_ca_system_score_codex":0.0021085478,"about_ca_system_score_gemma":0.0012002181,"threshold_uncertainty_score":0.021924853},"labels":[],"label_agreement":null},{"id":"W1998821934","doi":"10.1111/j.1017-6772.2004.00103.x","title":"The Determinants of Cereal Grain Imports: Sub‐Saharan Africa, 1970–1997","year":2004,"lang":"en","type":"article","venue":"African Development Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Agricultural economics; Economics; Population; Food processing; Production (economics); Business; Biology; Food science; Macroeconomics","score_opus":0.034930904044526326,"score_gpt":0.22748411051950027,"score_spread":0.19255320647497393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998821934","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":[0.9878341,0.0062338365,0.0001781433,0.0010912302,0.0000128955035,0.000007986089,0.002133535,0.0000083913765,0.0024998384],"genre_scores_gemma":[0.9913105,0.006310419,0.00007340549,0.00003009305,0.000021313888,0.0000075438033,0.00115104,0.0000028184456,0.0010929479],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984705,0.000029141245,0.000009415763,0.00001772624,0.00002828345,0.00006833211],"domain_scores_gemma":[0.9987638,0.00028383965,0.0006346025,0.000023346422,0.00020567032,0.000088798246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041751133,0.0002477702,0.00024104542,0.0011643138,0.00024948144,0.00073658157,0.00020945707,0.00020298328,0.0024463849],"category_scores_gemma":[0.0020357429,0.00013532696,0.00023440096,0.0035927165,0.00032662755,0.00040371373,0.0004256447,0.00047338614,0.00036944487],"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":[0.00029247507,0.00005440922,0.96687776,0.0002514758,0.00017337962,0.0013590611,0.0013836118,0.002748897,0.0003239161,0.0028828632,0.0036717718,0.019980477],"study_design_scores_gemma":[0.0000181541,0.000036821544,0.9868196,0.00011480202,0.00009487037,0.0003563957,0.002437243,0.0011498616,0.0003514969,0.00042692295,0.008189264,0.000004596181],"about_ca_topic_score_codex":0.055483583,"about_ca_topic_score_gemma":0.044860847,"teacher_disagreement_score":0.055483583,"about_ca_system_score_codex":0.0010799982,"about_ca_system_score_gemma":0.0008344845,"threshold_uncertainty_score":0.11032128},"labels":[],"label_agreement":null},{"id":"W1999471850","doi":"10.1007/s11123-006-0028-0","title":"Estimating global frontier shifts and global Malmquist indices","year":2007,"lang":"en","type":"article","venue":"Journal of Productivity Analysis","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":68,"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":"Frontier; Malmquist index; Econometrics; Productivity; Measure (data warehouse); Index (typography); Technological change; Economics; Production–possibility frontier; Production (economics); Computer science; Total factor productivity; Macroeconomics; Geography; Data mining","score_opus":0.018292007333915623,"score_gpt":0.2441503179494121,"score_spread":0.2258583106154965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999471850","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":[0.9308246,0.00060635584,0.05698391,0.00023344261,0.000046262936,0.000022903585,0.0005906388,0.0002555661,0.010436258],"genre_scores_gemma":[0.9764771,0.00014066591,0.021988075,0.000013891716,0.000018270943,0.000013818858,0.0004795923,0.00007225058,0.00079630374],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995103,0.00019808825,0.000023875995,0.000120999095,0.0000760546,0.00007071613],"domain_scores_gemma":[0.99635714,0.002428345,0.00037781522,0.00038424873,0.00034968863,0.0001027281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027125117,0.00083361985,0.0006241231,0.003455582,0.00040047764,0.001533452,0.0004048607,0.00097083533,0.0022196916],"category_scores_gemma":[0.012537627,0.00038503503,0.0006789895,0.003030303,0.00050715654,0.0022271294,0.0011220098,0.00095410337,0.0005326772],"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":[0.0006754854,0.00010610112,0.22226489,0.000124186,0.00030617957,0.00027920218,0.0006503338,0.479805,0.0037499296,0.0336636,0.0031486307,0.25522646],"study_design_scores_gemma":[0.00011438828,0.00026096063,0.2164223,0.00009673766,0.00021902446,0.00027263467,0.001324585,0.70237553,0.007246785,0.064826,0.006755639,0.00008547423],"about_ca_topic_score_codex":0.004573695,"about_ca_topic_score_gemma":0.004809885,"teacher_disagreement_score":0.004573695,"about_ca_system_score_codex":0.00089775753,"about_ca_system_score_gemma":0.00052834745,"threshold_uncertainty_score":0.014345348},"labels":[],"label_agreement":null},{"id":"W2000283961","doi":"10.1007/s00191-010-0212-2","title":"Sustained endogenous growth driven by structured and evolving general purpose technologies","year":2011,"lang":"en","type":"article","venue":"Journal of Evolutionary Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia, Okanagan Campus; Kelowna General Hospital; University of British Columbia","funders":"","keywords":"Complement (music); Economics; Ergodic theory; Entrepreneurship; Consumption (sociology); Endogenous growth theory; Industrial organization; Emerging technologies; General equilibrium theory; Process (computing); Path (computing); Econometrics; Microeconomics; Mathematical economics; Computer science; Neoclassical economics; Economic geography; Mathematics; Market economy; Sociology; Artificial intelligence","score_opus":0.02577995470390229,"score_gpt":0.18009166662318976,"score_spread":0.15431171191928747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000283961","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":[0.92543894,0.00032984227,0.062840596,0.0008958628,0.00009871934,0.000028522092,0.00011508729,0.00015085239,0.010101503],"genre_scores_gemma":[0.99641293,0.000111621026,0.0016012557,0.00003191251,0.00001850043,0.000008534494,0.000023380444,0.00001275452,0.001779112],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99972314,0.000086151915,0.000010588436,0.000052886524,0.000052060885,0.00007508487],"domain_scores_gemma":[0.9974124,0.0013180622,0.00048150928,0.0002550194,0.00029620095,0.00023683804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008380214,0.00037018556,0.0006725489,0.0006551797,0.00047389884,0.0019304069,0.00071684254,0.001282215,0.0021685038],"category_scores_gemma":[0.0068711834,0.00034579457,0.0006549135,0.00053319964,0.0013552712,0.001795496,0.001066355,0.00098714,0.0002834801],"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":[0.0002420489,0.0001549642,0.00993557,0.000117398566,0.00015731627,0.0018776284,0.00045893688,0.40478957,0.018951984,0.54151905,0.0031668807,0.018628709],"study_design_scores_gemma":[0.000047231963,0.000058292608,0.0044567166,0.0000112198595,0.000030132293,0.00028729017,0.00013736356,0.83995503,0.0011125371,0.15313399,0.0007396243,0.0000305928],"about_ca_topic_score_codex":0.0011850547,"about_ca_topic_score_gemma":0.00081446674,"teacher_disagreement_score":0.0021685038,"about_ca_system_score_codex":0.00094328576,"about_ca_system_score_gemma":0.0005539121,"threshold_uncertainty_score":0.007254362},"labels":[],"label_agreement":null},{"id":"W2000548633","doi":"10.1257/jep.26.4.103","title":"Understanding China's Growth: Past, Present, and Future","year":2012,"lang":"en","type":"article","venue":"The Journal of Economic Perspectives","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":588,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"China; Economics; Per capita; Productivity; Growth accounting; Investment (military); Real gross domestic product; Total factor productivity; Capital (architecture); Population; Development economics; Economic growth; Geography; Macroeconomics; Political science","score_opus":0.06577858826339611,"score_gpt":0.23693397069140298,"score_spread":0.17115538242800687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000548633","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":[0.7151804,0.11174206,0.0027577654,0.06618551,0.0007299751,0.000041054387,0.0024113741,0.00012409702,0.10082777],"genre_scores_gemma":[0.9369541,0.055833183,0.0010687097,0.0011382123,0.00045873583,0.000020391886,0.0007047429,0.00002123703,0.00380071],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99984527,0.000022194796,0.0000063347397,0.000021122427,0.000028160133,0.00007691012],"domain_scores_gemma":[0.9997353,0.000047472313,0.00007776958,0.000015015009,0.00006543355,0.00005898679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004929615,0.00041871582,0.00023227521,0.0016707734,0.0007596318,0.002061464,0.00037494517,0.0004673697,0.0015102928],"category_scores_gemma":[0.00063559663,0.000110746165,0.00021867282,0.003803927,0.0011550209,0.003613923,0.0006594556,0.00082976156,0.00022774018],"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":[0.000117455485,0.000076287375,0.3941515,0.0009968398,0.00008167957,0.001490735,0.017738631,0.0060560885,0.0018227567,0.23156717,0.035677537,0.31022343],"study_design_scores_gemma":[0.000010549225,0.00010057989,0.6737211,0.0010133643,0.000065930784,0.00038169947,0.02629667,0.009802301,0.0010782898,0.066306874,0.2211495,0.00007319081],"about_ca_topic_score_codex":0.06733188,"about_ca_topic_score_gemma":0.08601519,"teacher_disagreement_score":0.06733188,"about_ca_system_score_codex":0.0041571357,"about_ca_system_score_gemma":0.003079977,"threshold_uncertainty_score":0.13387996},"labels":[],"label_agreement":null},{"id":"W2001197633","doi":"10.7202/012839ar","title":"Y a-t-il une nouvelle économie en Irlande?","year":2006,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.02481909107588041,"score_gpt":0.2010508618035823,"score_spread":0.1762317707277019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001197633","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":[0.55470306,0.035168704,0.017363895,0.034138493,0.0007900572,0.00011686809,0.0015848078,0.00019957854,0.35593444],"genre_scores_gemma":[0.89129543,0.020144256,0.009204215,0.0024151849,0.00017199034,0.00009711303,0.00082776655,0.000100638164,0.07574334],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99941874,0.0001406597,0.000020641324,0.00014458319,0.000115711344,0.00015972246],"domain_scores_gemma":[0.99943143,0.00013651319,0.00014772241,0.00004594331,0.00017481946,0.00006352753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012354584,0.00043255006,0.0004105954,0.0006513923,0.00085066253,0.004171694,0.00047476398,0.00081511657,0.015431085],"category_scores_gemma":[0.0016531519,0.00015993527,0.0005450431,0.0010045776,0.0010392823,0.0031999405,0.00089977303,0.0011649122,0.0024143585],"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":[0.0009821444,0.00027564968,0.11053841,0.0020973296,0.0003547812,0.002305504,0.006726862,0.0072797067,0.014767301,0.43590528,0.02885553,0.38991153],"study_design_scores_gemma":[0.00007290577,0.00058511394,0.17353265,0.0019146472,0.0002270799,0.0009344647,0.023120165,0.0034159105,0.0070417733,0.051150203,0.73787904,0.00012603837],"about_ca_topic_score_codex":0.026956996,"about_ca_topic_score_gemma":0.045997445,"teacher_disagreement_score":0.026956996,"about_ca_system_score_codex":0.0025170255,"about_ca_system_score_gemma":0.002501234,"threshold_uncertainty_score":0.053600192},"labels":[],"label_agreement":null},{"id":"W2002084525","doi":"10.2202/1935-1690.1636","title":"Choosing Longevity with Overlapping Generations: To Be or Not to Be in Diamond's Model","year":2008,"lang":"en","type":"article","venue":"The B E Journal of Macroeconomics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Overlapping generations model; Economics; Longevity; Life expectancy; Valuation (finance); Logarithm; Microeconomics; Econometrics; Mathematics; Biology","score_opus":0.09107294247639061,"score_gpt":0.25093755098259174,"score_spread":0.15986460850620113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002084525","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":[0.81742394,0.000714052,0.10084821,0.006915324,0.00014306612,0.00008745173,0.00050244766,0.000098678116,0.0732668],"genre_scores_gemma":[0.98828655,0.00018520917,0.004361851,0.00032561846,0.000015795746,0.000034543682,0.00006389479,0.000007190056,0.0067193476],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99950683,0.00018798119,0.00001112281,0.00010966487,0.000037925343,0.00014654349],"domain_scores_gemma":[0.9987657,0.0005085314,0.00019243467,0.00012120717,0.00007393054,0.00033819876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016352814,0.00027567835,0.0007505464,0.0003278611,0.0007140529,0.0015473003,0.0010254483,0.0013990899,0.007169319],"category_scores_gemma":[0.0038505027,0.00014534747,0.00043202422,0.00035391553,0.0009695044,0.0011750361,0.0009079882,0.0010983167,0.00055548863],"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":[0.0007265029,0.00021324647,0.017648067,0.00007888172,0.0000552381,0.0010727898,0.0011860847,0.06553347,0.0012278664,0.8718215,0.008473244,0.03196318],"study_design_scores_gemma":[0.0003551129,0.00021661322,0.004564654,0.000049760212,0.000052499254,0.0005940433,0.0009982223,0.230235,0.00028046328,0.75198567,0.010608242,0.000059731166],"about_ca_topic_score_codex":0.004486425,"about_ca_topic_score_gemma":0.0050854553,"teacher_disagreement_score":0.007169319,"about_ca_system_score_codex":0.0010064001,"about_ca_system_score_gemma":0.0006324427,"threshold_uncertainty_score":0.023983717},"labels":[],"label_agreement":null},{"id":"W2002346999","doi":"10.2202/1446-9022.1122","title":"Irreversible Investment, Capital Costs and Productivity Growth: Implications for Telecommunications","year":2007,"lang":"en","type":"article","venue":"Review of Network Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Disinvestment; Total factor productivity; Economics; Productivity; Percentage point; Investment (military); Growth rate; Rate of return; Monetary economics; Macroeconomics; Finance; Mathematics","score_opus":0.042045575402022604,"score_gpt":0.2591650680527904,"score_spread":0.21711949265076777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002346999","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":[0.4936585,0.021482553,0.34451947,0.037679672,0.00062297325,0.00016496793,0.001337491,0.0003286585,0.1002057],"genre_scores_gemma":[0.9624917,0.009562681,0.005149653,0.00038013334,0.0002598219,0.000060458784,0.00018818879,0.00003229629,0.021875106],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9997316,0.000061881576,0.000010470347,0.000050284227,0.000050585324,0.00009521417],"domain_scores_gemma":[0.9980336,0.0011441817,0.00046477155,0.000064703156,0.00013362909,0.00015924787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008667665,0.0010968121,0.0006782331,0.0008318202,0.0005696325,0.002310728,0.0010868345,0.0020705617,0.005773504],"category_scores_gemma":[0.004701122,0.00042388536,0.00076395157,0.0013577414,0.0018415265,0.003947555,0.0008472351,0.0021415509,0.00041511055],"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":[0.00006486853,0.00006677473,0.005380699,0.00012489625,0.000042421212,0.0006077378,0.0001657865,0.5275239,0.0007856241,0.44557264,0.0030530558,0.016611556],"study_design_scores_gemma":[0.000052644406,0.00008584114,0.0054295403,0.0001084608,0.00006346084,0.00033997174,0.00020142937,0.32764208,0.00065519614,0.65535283,0.010008162,0.00006031476],"about_ca_topic_score_codex":0.01594487,"about_ca_topic_score_gemma":0.014144326,"teacher_disagreement_score":0.01594487,"about_ca_system_score_codex":0.004282096,"about_ca_system_score_gemma":0.0020080828,"threshold_uncertainty_score":0.031704128},"labels":[],"label_agreement":null},{"id":"W2003277321","doi":"10.7202/602241ar","title":"Ajustement macroéconomique aux technologies multi-usages","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Obsolescence; Political science; Art; Business","score_opus":0.09592862565784858,"score_gpt":0.26574334875739086,"score_spread":0.16981472309954226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003277321","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":[0.8602453,0.011884535,0.031842396,0.008228519,0.0002445453,0.00016627168,0.0035105867,0.0003345415,0.08354323],"genre_scores_gemma":[0.976547,0.00550617,0.0033020482,0.0005610257,0.0001475435,0.000119987475,0.0007080159,0.000059083646,0.01304911],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99728537,0.0010462133,0.000111062895,0.0004448443,0.00066747004,0.00044506197],"domain_scores_gemma":[0.97793716,0.014215635,0.0043857465,0.0013468111,0.001487095,0.0006275867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00285046,0.0006332959,0.0007017139,0.0021421562,0.000805424,0.006200449,0.00062939135,0.0012799577,0.012830922],"category_scores_gemma":[0.011446249,0.000408694,0.0014007097,0.00417475,0.001492961,0.0040731523,0.0026339015,0.0021274802,0.001266311],"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":[0.0010665533,0.000550476,0.43310276,0.0012287309,0.0014087085,0.0017225255,0.0033410403,0.065354176,0.0050691096,0.32125363,0.0072727064,0.15862966],"study_design_scores_gemma":[0.00016686221,0.0011917242,0.57820183,0.0009765719,0.0017600303,0.0011551337,0.007454389,0.056651242,0.008717931,0.14565058,0.1978228,0.00025091757],"about_ca_topic_score_codex":0.012532368,"about_ca_topic_score_gemma":0.0083723385,"teacher_disagreement_score":0.012830922,"about_ca_system_score_codex":0.0022440357,"about_ca_system_score_gemma":0.0012423499,"threshold_uncertainty_score":0.04292369},"labels":[],"label_agreement":null},{"id":"W2004525898","doi":"10.1016/j.jedc.2014.04.006","title":"Barriers to capital accumulation in a model of technology adoption and schooling","year":2014,"lang":"en","type":"article","venue":"Journal of Economic Dynamics and Control","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"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":"Economics; Productivity; Per capita income; Total factor productivity; Growth model; Per capita; Capital (architecture); Human capital; Growth accounting; Aggregate (composite); Capital accumulation; Econometrics; Demographic economics; Labour economics; Macroeconomics; Economic growth","score_opus":0.011433049681409672,"score_gpt":0.21019530282479407,"score_spread":0.1987622531433844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004525898","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":[0.86725444,0.0010881203,0.06828796,0.015934994,0.00013905311,0.00012054213,0.0014698755,0.0003720876,0.045332905],"genre_scores_gemma":[0.9570283,0.00061008014,0.002353244,0.0003241358,0.00009195849,0.00007385332,0.00022581039,0.000058005076,0.039234653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926454,0.00023890247,0.00003158435,0.00011320503,0.000048803653,0.00030294602],"domain_scores_gemma":[0.9913623,0.0055757873,0.0012225325,0.0002853224,0.00031848054,0.0012356228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019375569,0.0009144633,0.0021575748,0.0013075754,0.0014925573,0.005212438,0.0023943083,0.0053492254,0.023175672],"category_scores_gemma":[0.008305007,0.0011921023,0.0015999821,0.0015333483,0.0030534007,0.004753634,0.003117156,0.0035271102,0.0017920425],"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":[0.0005323413,0.0004160317,0.010520401,0.00012652259,0.000128288,0.0008610439,0.00070459524,0.52689487,0.0008734198,0.44909534,0.004037381,0.0058098575],"study_design_scores_gemma":[0.00053834764,0.00023010696,0.0057539637,0.000093120245,0.00016606542,0.00027061845,0.0009357186,0.7710097,0.00029486866,0.21769057,0.0029033564,0.00011346992],"about_ca_topic_score_codex":0.034946054,"about_ca_topic_score_gemma":0.018566594,"teacher_disagreement_score":0.034946054,"about_ca_system_score_codex":0.0025710235,"about_ca_system_score_gemma":0.0027794826,"threshold_uncertainty_score":0.077530384},"labels":[],"label_agreement":null},{"id":"W2006352250","doi":"10.1111/1468-2370.00052","title":"The knowledge‐based economy: intellectual origins and new economic perspectives","year":2001,"lang":"en","type":"article","venue":"International Journal of Management Reviews","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":223,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Internationalization; Knowledge economy; Government (linguistics); Relation (database); Empirical evidence; Process (computing); Foundation (evidence); Distribution (mathematics); Economics; Economic system; Economic geography; Business; Economy; Political science; Computer science; International trade","score_opus":0.06187552741781644,"score_gpt":0.28729661738539447,"score_spread":0.22542108996757804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006352250","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026031906,0.32601357,0.040919874,0.104144804,0.0020919377,0.000037101014,0.00015052289,0.0000696011,0.5005408],"genre_scores_gemma":[0.7636073,0.19521545,0.011048912,0.005869502,0.008258027,0.00011122112,0.000093479815,0.000038297654,0.015757771],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99885714,0.00052998296,0.00004671148,0.00014685535,0.00030606473,0.000113375994],"domain_scores_gemma":[0.99404943,0.0046486943,0.00029095335,0.00037956916,0.0004366819,0.00019469406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025409937,0.00045299286,0.0005688144,0.0038396753,0.0019198459,0.009328802,0.0009424211,0.0031740721,0.0030991856],"category_scores_gemma":[0.004119326,0.00025683717,0.00034271044,0.0045554885,0.02475511,0.01784578,0.0029680522,0.0036925618,0.00043610364],"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":[0.000002391687,0.0000057817288,0.0000578085,0.000046721798,0.0000014760467,0.000026144096,0.00024378009,0.00015415893,0.0000125495435,0.9943915,0.0005578503,0.004499742],"study_design_scores_gemma":[0.0000030476592,0.00000460723,0.0001540933,0.00012471444,0.0000015733194,0.00006339713,0.00038807755,0.00036897897,0.000025156287,0.9647339,0.034127295,0.000005221004],"about_ca_topic_score_codex":0.001457217,"about_ca_topic_score_gemma":0.0010401426,"teacher_disagreement_score":0.009328802,"about_ca_system_score_codex":0.0037391717,"about_ca_system_score_gemma":0.0017981824,"threshold_uncertainty_score":0.02712977},"labels":[],"label_agreement":null},{"id":"W2006710148","doi":"10.1016/j.respol.2010.02.011","title":"Technology adoption, training and productivity performance","year":2010,"lang":"en","type":"article","venue":"Research Policy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":205,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"Industry Canada; Government of Canada","keywords":"Productivity; Training (meteorology); Control (management); Computer science; Emerging technologies; Knowledge management; Literacy; Business; Industrial organization; Marketing; Economics; Artificial intelligence; Economic growth","score_opus":0.12786316274346363,"score_gpt":0.33654245964821483,"score_spread":0.2086792969047512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006710148","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":[0.9709165,0.004344006,0.0024632893,0.006024583,0.00006419244,0.000034058063,0.00037175042,0.0000436994,0.015737984],"genre_scores_gemma":[0.99559194,0.001297341,0.00029121203,0.00023315474,0.0001203271,0.000010649512,0.00011790595,0.0000050406975,0.0023323828],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968605,0.0015840364,0.00019937081,0.00023342155,0.00030633216,0.0008163382],"domain_scores_gemma":[0.946314,0.03108604,0.013343713,0.0012431488,0.0024619664,0.0055512525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063740173,0.0002888283,0.00032873216,0.0015136868,0.00063678995,0.0032388268,0.000444628,0.0020142694,0.008020707],"category_scores_gemma":[0.030309757,0.00016540466,0.0003752908,0.0034032625,0.0015588535,0.0023641188,0.0012075301,0.0015217693,0.00093646295],"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":[0.0012018566,0.001548606,0.8740631,0.00034341158,0.00029877116,0.00057271845,0.00078727654,0.019032137,0.0024218555,0.02497363,0.003730541,0.071026094],"study_design_scores_gemma":[0.000088904984,0.00082448754,0.96412927,0.00022489454,0.00023191643,0.0004398013,0.0015670103,0.006784576,0.0022403805,0.015674535,0.007758311,0.0000359658],"about_ca_topic_score_codex":0.0070031984,"about_ca_topic_score_gemma":0.007823291,"teacher_disagreement_score":0.008020707,"about_ca_system_score_codex":0.0019990136,"about_ca_system_score_gemma":0.0024419832,"threshold_uncertainty_score":0.033709407},"labels":[],"label_agreement":null},{"id":"W2006993725","doi":"10.1162/154247603322391242","title":"Relationships, Commitment, and Labor Productivity Growth","year":2003,"lang":"en","type":"article","venue":"Journal of the European Economic Association","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Commit; Productivity; Economics; Differential (mechanical device); Production (economics); Labour economics; Growth model; Microeconomics; Macroeconomics","score_opus":0.0259016697333049,"score_gpt":0.19369221230563272,"score_spread":0.1677905425723278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006993725","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":[0.9615421,0.0012868504,0.008689729,0.0023287477,0.00002010978,0.000027408543,0.0001548641,0.000026950667,0.025923258],"genre_scores_gemma":[0.99657416,0.00039343382,0.0005021441,0.00005512429,0.000022315491,0.000015483502,0.000097008706,0.0000045241086,0.002335863],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998931,0.0005090572,0.000044732587,0.00010628533,0.00016284539,0.00024594105],"domain_scores_gemma":[0.9792604,0.011695172,0.0057399273,0.0008316986,0.0007709805,0.0017018314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002143295,0.00031149067,0.00029550036,0.0007991909,0.0008301764,0.002187042,0.00047755876,0.0008970817,0.007090017],"category_scores_gemma":[0.020667799,0.00018521445,0.00017021516,0.0012099071,0.0013999515,0.0023993843,0.0018357717,0.0021415886,0.00065025076],"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":[0.0012456148,0.0012359208,0.4863534,0.00018539245,0.00015982552,0.0011410919,0.0059750644,0.061311316,0.0029716378,0.2902117,0.0041102925,0.14509876],"study_design_scores_gemma":[0.0001750613,0.0005004985,0.47016528,0.00021189215,0.00010760013,0.0009007856,0.0067253322,0.070047274,0.0023197795,0.4312896,0.017458564,0.00009833196],"about_ca_topic_score_codex":0.002653491,"about_ca_topic_score_gemma":0.0022870982,"teacher_disagreement_score":0.007090017,"about_ca_system_score_codex":0.0011381828,"about_ca_system_score_gemma":0.0006892354,"threshold_uncertainty_score":0.023718417},"labels":[],"label_agreement":null},{"id":"W2007267729","doi":"10.1142/s0217590805001846","title":"TESTING OF REAL CONVERGENCE IN GERMANY IN THE PRESENCE OF STRUCTURAL BREAKS","year":2005,"lang":"en","type":"article","venue":"The Singapore Economic Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Structural break; Economics; Econometrics; Macroeconomics","score_opus":0.051070134796485554,"score_gpt":0.2628567644673825,"score_spread":0.21178662967089693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007267729","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":[0.9968117,0.00015271874,0.0012989824,0.00015240927,0.000008162966,0.000003869299,0.000070233975,0.0000058527335,0.0014959354],"genre_scores_gemma":[0.99965644,0.00004750507,0.00012820572,0.000008186083,0.00000443592,0.000002125396,0.000069505506,0.0000015840579,0.00008211788],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981061,0.00090811914,0.00015010806,0.0002388566,0.00018605666,0.0004106711],"domain_scores_gemma":[0.985284,0.009495962,0.0032339548,0.0008469569,0.00064305763,0.00049611245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044226237,0.0002683275,0.00057525013,0.0015159436,0.00047893572,0.0011216091,0.00038265943,0.0005914915,0.0028530292],"category_scores_gemma":[0.019337036,0.00011388887,0.0005408739,0.0012068098,0.0011586937,0.0012499308,0.0011317467,0.0008587746,0.00018809078],"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":[0.0028945091,0.00039153092,0.77308035,0.0003173509,0.0013163285,0.0031335037,0.0037300987,0.0670564,0.006616435,0.069718935,0.0012482809,0.0704962],"study_design_scores_gemma":[0.00014154224,0.0010160138,0.90744936,0.00012612196,0.00036840793,0.0005484636,0.00700003,0.05754957,0.0053042946,0.017658858,0.002766511,0.00007087605],"about_ca_topic_score_codex":0.0049481383,"about_ca_topic_score_gemma":0.0025457395,"teacher_disagreement_score":0.0049481383,"about_ca_system_score_codex":0.0007267742,"about_ca_system_score_gemma":0.00052175514,"threshold_uncertainty_score":0.02338934},"labels":[],"label_agreement":null},{"id":"W2007823028","doi":"10.1111/j.1540-5982.2006.00372.x","title":"North‐South and South‐South trade‐related technology diffusion: an industry‐level analysis of direct and indirect effects","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Diffusion; Economics; Total factor productivity; Economic geography; International economics; International trade; Productivity; Macroeconomics; Physics","score_opus":0.0698945860038084,"score_gpt":0.16160387468712098,"score_spread":0.09170928868331257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007823028","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":[0.9829789,0.00070150336,0.0030975253,0.0002969318,0.000014864328,0.00003251083,0.0003464354,0.000026887239,0.012504546],"genre_scores_gemma":[0.9974262,0.00031634656,0.00044025457,0.000028792954,0.000014559713,0.000010063803,0.00012798731,0.00000611728,0.0016296848],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950755,0.00016715514,0.000024796138,0.00008392466,0.000116349394,0.00010033475],"domain_scores_gemma":[0.99234784,0.0058064363,0.0006700219,0.00024486982,0.0005565241,0.0003743713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012774038,0.00030059856,0.0005766005,0.0017253876,0.00027908743,0.0014082146,0.00029127506,0.0005122901,0.010807004],"category_scores_gemma":[0.0043938467,0.00019325371,0.001827488,0.0017838277,0.0006043366,0.00079261384,0.0011660514,0.00070568663,0.00057749613],"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":[0.00074246747,0.00024439607,0.8751715,0.00043274672,0.0016919977,0.0011136279,0.000890436,0.0428959,0.007973163,0.025675708,0.0010997504,0.04206835],"study_design_scores_gemma":[0.00007995618,0.00027773582,0.9422923,0.00009316712,0.0014256825,0.00027635982,0.0009338097,0.036751144,0.0032596064,0.0096251145,0.004943086,0.000042033615],"about_ca_topic_score_codex":0.008627424,"about_ca_topic_score_gemma":0.008100202,"teacher_disagreement_score":0.010807004,"about_ca_system_score_codex":0.0006016249,"about_ca_system_score_gemma":0.000540525,"threshold_uncertainty_score":0.03615302},"labels":[],"label_agreement":null},{"id":"W2008101372","doi":"10.1016/j.jeconom.2008.05.002","title":"On the estimation of returns to scale, technical progress and monopolistic markups","year":2008,"lang":"en","type":"article","venue":"Journal of Econometrics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":139,"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 British Columbia","funders":"","keywords":"Monopolistic competition; Economics; Returns to scale; Econometrics; Scale (ratio); Value (mathematics); Gross output; Estimation; Technical progress; Scale effects; Technical change; Economies of scale; Microeconomics; Macroeconomics; Production (economics); Mathematics; Statistics; Monopoly; Productivity","score_opus":0.09660245066921329,"score_gpt":0.23366393837604377,"score_spread":0.13706148770683046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008101372","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":[0.31971335,0.002600107,0.6693922,0.0014663654,0.00008416276,0.00012759943,0.00039446502,0.0004287263,0.0057930783],"genre_scores_gemma":[0.8791701,0.0020348255,0.11405626,0.00010975411,0.00027306765,0.00009870577,0.00077260373,0.000141642,0.0033431132],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9933228,0.004932204,0.0003566539,0.0006204259,0.00052933546,0.00023863022],"domain_scores_gemma":[0.8185652,0.17063588,0.0039770147,0.0044861236,0.0016320839,0.00070363755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02099365,0.0014945207,0.0028064903,0.005465992,0.00078492064,0.0032723853,0.0032350558,0.0027892962,0.0037642154],"category_scores_gemma":[0.11899672,0.0013281843,0.002079945,0.0046793255,0.0031379904,0.005274747,0.0030974962,0.0023798496,0.00058617484],"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":[0.00026153636,0.0001744964,0.030649913,0.0002553019,0.00044123174,0.0002400367,0.00036515735,0.72455615,0.0007320769,0.12314551,0.0014207151,0.11775784],"study_design_scores_gemma":[0.000039319264,0.000061008028,0.0048100855,0.000035551275,0.000054883385,0.000046027744,0.00008745991,0.90121406,0.0006772603,0.09235603,0.0005784898,0.0000399051],"about_ca_topic_score_codex":0.0117013175,"about_ca_topic_score_gemma":0.006574491,"teacher_disagreement_score":0.02099365,"about_ca_system_score_codex":0.0012980113,"about_ca_system_score_gemma":0.0014543335,"threshold_uncertainty_score":0.11102635},"labels":[],"label_agreement":null},{"id":"W2008274038","doi":"10.1080/0003684032000125051","title":"Induced innovation: an empirical test","year":2003,"lang":"en","type":"article","venue":"Applied Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Econometrics; Dependency (UML); Test (biology); Alternative hypothesis; Electricity; Null hypothesis","score_opus":0.07239170951206059,"score_gpt":0.2467720497566158,"score_spread":0.1743803402445552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008274038","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":[0.5925191,0.00087708334,0.33190683,0.0035183884,0.00066686806,0.0018694506,0.0055278987,0.0007494593,0.062364988],"genre_scores_gemma":[0.9732828,0.00018950908,0.021599317,0.00028042504,0.00019010894,0.0011811228,0.0010703633,0.00004088685,0.0021653785],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.96702677,0.016132342,0.001875516,0.0049063293,0.008794254,0.0012648432],"domain_scores_gemma":[0.57495975,0.38618156,0.015134701,0.013160685,0.008228678,0.0023345738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02796128,0.000808852,0.0017063048,0.004146342,0.0011125591,0.0035003102,0.0034357307,0.002551984,0.029361425],"category_scores_gemma":[0.18066873,0.00029865722,0.0021752259,0.005067316,0.005129023,0.0048284135,0.002896194,0.0024532063,0.002091764],"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":[0.002341174,0.0019530167,0.26274142,0.0017175438,0.0033195948,0.0019631472,0.0018627811,0.02439369,0.0024871023,0.56776416,0.008534304,0.120922126],"study_design_scores_gemma":[0.0020138896,0.00928818,0.15962575,0.00084583316,0.0016337916,0.0020720316,0.0059291287,0.26234764,0.008493165,0.500729,0.04668559,0.00033598873],"about_ca_topic_score_codex":0.00075661816,"about_ca_topic_score_gemma":0.0003822077,"teacher_disagreement_score":0.029361425,"about_ca_system_score_codex":0.0014041448,"about_ca_system_score_gemma":0.003037926,"threshold_uncertainty_score":0.14787519},"labels":[],"label_agreement":null},{"id":"W2008601889","doi":"10.1111/j.0008-4085.2005.00282.x","title":"Demographics and recent productivity performance: insights from cross‐country comparisons","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Demographics; Productivity; Cross country; Demographic economics; Economics; Developed country; Developing country; Development economics; Economic growth; Demography; Population; Sociology","score_opus":0.10715583396006842,"score_gpt":0.18329246336485985,"score_spread":0.07613662940479143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008601889","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":[0.9863724,0.0014761329,0.00082239363,0.00043397336,0.000035019642,0.000013232574,0.002047656,0.000013989652,0.008785221],"genre_scores_gemma":[0.99723357,0.00052976556,0.0001258327,0.000032660297,0.000024118897,0.000006535424,0.0013594709,0.000004245784,0.000683815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993845,0.00019512005,0.00005397746,0.00012850657,0.00011216991,0.00012562206],"domain_scores_gemma":[0.99152476,0.0023364916,0.0037429223,0.00056201796,0.0011200232,0.00071380235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024372241,0.00015809336,0.00025954796,0.0024706621,0.00041315498,0.0014003316,0.0002486157,0.00030748322,0.0038978725],"category_scores_gemma":[0.009096184,0.0001089073,0.00030473818,0.0039319843,0.00043795144,0.0012873552,0.001230309,0.00053166365,0.00087166927],"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":[0.0001214975,0.000044773224,0.9714603,0.000054897126,0.00020133096,0.00016869545,0.0010603872,0.0014702432,0.00027986924,0.0025254788,0.0012932743,0.02131939],"study_design_scores_gemma":[0.0000029127018,0.000058352285,0.9949982,0.000020644155,0.000023263701,0.00009631663,0.0007027546,0.0003759609,0.0001193112,0.0005490996,0.0030437605,0.000009314301],"about_ca_topic_score_codex":0.004612476,"about_ca_topic_score_gemma":0.00480144,"teacher_disagreement_score":0.004612476,"about_ca_system_score_codex":0.0004021571,"about_ca_system_score_gemma":0.00019065385,"threshold_uncertainty_score":0.013039708},"labels":[],"label_agreement":null},{"id":"W2008721319","doi":"10.1177/095440540321700811","title":"The evaluation of technology change projects: Literature overview and suggestions for further inquiry","year":2003,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Technology transfer; Selection (genetic algorithm); Technological change; Process management; Measure (data warehouse); Advice (programming); Management science; Computer science; Engineering management; Knowledge management; Engineering","score_opus":0.06591543170169031,"score_gpt":0.2534932453143259,"score_spread":0.18757781361263556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008721319","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020245893,0.85511154,0.045977764,0.054070633,0.0012647535,0.000834483,0.0003617986,0.0001887471,0.021944428],"genre_scores_gemma":[0.14551438,0.7439206,0.0992267,0.003973521,0.001400399,0.0013128385,0.0005739539,0.00010164387,0.0039759395],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9473927,0.031157339,0.006148449,0.001996644,0.012312986,0.0009918865],"domain_scores_gemma":[0.7281457,0.1957727,0.0107694715,0.0036845892,0.060027223,0.001600279],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06217073,0.0016370136,0.0038302594,0.034633983,0.0029249194,0.014570853,0.0039016732,0.0052134222,0.0046077305],"category_scores_gemma":[0.14918382,0.0011945856,0.0015795985,0.04623085,0.0039491844,0.017503127,0.002337718,0.0027251977,0.0010187445],"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":[0.00018603298,0.0004935699,0.009381525,0.01955536,0.0001775327,0.00043228228,0.0038549264,0.0036426894,0.0004411006,0.04206065,0.019708933,0.9000654],"study_design_scores_gemma":[0.00027416516,0.0016954332,0.0894715,0.14280464,0.0009304215,0.002290323,0.07903748,0.022886788,0.0035660805,0.18990031,0.46620286,0.0009399457],"about_ca_topic_score_codex":0.011003126,"about_ca_topic_score_gemma":0.016823778,"teacher_disagreement_score":0.93782926,"about_ca_system_score_codex":0.010197983,"about_ca_system_score_gemma":0.01017945,"threshold_uncertainty_score":0.32879418},"labels":[],"label_agreement":null},{"id":"W2009116824","doi":"10.1016/j.econlet.2012.04.072","title":"Urbanization, human capital, and cross-country productivity differences","year":2012,"lang":"en","type":"article","venue":"Economics Letters","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":73,"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 Victoria","funders":"","keywords":"Total factor productivity; Urbanization; Endogeneity; Life expectancy; Human capital; Economics; Productivity; Demographic economics; Affect (linguistics); Development economics; Economic growth; Environmental health; Econometrics; Population; Medicine","score_opus":0.022456433407904524,"score_gpt":0.20727583138236022,"score_spread":0.1848193979744557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009116824","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":[0.9892809,0.00094047247,0.0010756236,0.0020656197,0.00004932782,0.000005165428,0.00034747773,0.000018057079,0.006217457],"genre_scores_gemma":[0.9982009,0.0004250071,0.000086060376,0.00006469358,0.000044047403,0.0000025213144,0.00012761533,0.0000036163933,0.0010454536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999556,0.00016454415,0.000023327313,0.00006031005,0.000042290485,0.00015348573],"domain_scores_gemma":[0.98879504,0.00681701,0.0022597278,0.00059603306,0.00041793552,0.0011141137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015187011,0.00023115949,0.00030224293,0.0012015777,0.00047297118,0.0017299165,0.00022474206,0.00065927836,0.005064629],"category_scores_gemma":[0.006851145,0.00016929513,0.0005680602,0.0027303125,0.0011187494,0.001394642,0.0010111597,0.0011274365,0.00040037915],"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":[0.0004248216,0.00015493108,0.9445782,0.000057274836,0.00038456303,0.00084152474,0.0006983974,0.012405314,0.0003813677,0.019285513,0.0021651224,0.018623013],"study_design_scores_gemma":[0.00003327521,0.000090041896,0.9699043,0.000045100256,0.000166181,0.00036065912,0.0018172266,0.006557429,0.0004057162,0.017500924,0.0030918596,0.000027399228],"about_ca_topic_score_codex":0.0111276265,"about_ca_topic_score_gemma":0.013600875,"teacher_disagreement_score":0.0111276265,"about_ca_system_score_codex":0.00055621134,"about_ca_system_score_gemma":0.00054598966,"threshold_uncertainty_score":0.022125721},"labels":[],"label_agreement":null},{"id":"W2009591142","doi":"10.2202/1524-5861.1058","title":"Foreign Capital Flows and the Efficiency of the HDI Dimensions","year":2005,"lang":"en","type":"article","venue":"Global economy journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Economics; Life expectancy; Human capital; Index (typography); Identification (biology); Expectancy theory; Scale (ratio); Production (economics); Capital (architecture); Public economics; Econometrics; Microeconomics; Economic growth; Computer science","score_opus":0.010332471478668052,"score_gpt":0.18395346612906352,"score_spread":0.17362099465039546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009591142","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":[0.9018645,0.0008023356,0.024589792,0.00039261693,0.000019500296,0.000076594995,0.00065742154,0.000068399466,0.07152889],"genre_scores_gemma":[0.9952579,0.00020242162,0.0021015466,0.000016285187,0.000007063234,0.000017860739,0.00016217853,0.000009589386,0.0022250554],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99906045,0.00035809126,0.000076664335,0.000112498026,0.00017362811,0.00021866166],"domain_scores_gemma":[0.99384403,0.0032943932,0.0012558195,0.0007405944,0.00061161217,0.00025364026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003109082,0.00042246014,0.00031749578,0.001612097,0.0003598138,0.002743884,0.00029930685,0.00020557553,0.0037965288],"category_scores_gemma":[0.011745508,0.00013762445,0.0003526752,0.0015441631,0.0016149476,0.0018482272,0.0014056849,0.00052689,0.00034843897],"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":[0.0006726132,0.00016924732,0.27404732,0.00022775847,0.0003466831,0.00026655532,0.0012183257,0.11350972,0.0029476285,0.44757897,0.0014467796,0.15756844],"study_design_scores_gemma":[0.00015314455,0.0004344182,0.5165725,0.00021101855,0.00024317486,0.0007065722,0.0036908223,0.09915816,0.015457194,0.3360933,0.027177466,0.000102232676],"about_ca_topic_score_codex":0.0029337646,"about_ca_topic_score_gemma":0.0014320421,"teacher_disagreement_score":0.0037965288,"about_ca_system_score_codex":0.00162703,"about_ca_system_score_gemma":0.00072255847,"threshold_uncertainty_score":0.016442597},"labels":[],"label_agreement":null},{"id":"W2011935392","doi":"10.1007/s10663-013-9236-9","title":"Output growth and investment dynamics in Finland: a panel data analysis","year":2013,"lang":"en","type":"article","venue":"Empirica","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":"McMaster University","funders":"","keywords":"Economics; Investment (military); Causality (physics); Panel data; Granger causality; Public finance; Econometrics; Panel analysis; Macroeconomics; Monetary economics; Political science","score_opus":0.08225166008512368,"score_gpt":0.2435723545585643,"score_spread":0.1613206944734406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011935392","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":[0.9939414,0.00055820995,0.00042450154,0.00023362064,0.000014398105,0.0000051220904,0.003679432,0.000013737865,0.0011295708],"genre_scores_gemma":[0.99106944,0.0003338431,0.00018087766,0.000024514242,0.000018692312,0.0000118668,0.007149748,0.00000689096,0.0012040993],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99947244,0.00015183192,0.000050018694,0.00011306791,0.00004182512,0.00017085466],"domain_scores_gemma":[0.99660206,0.002232314,0.00055827445,0.00018379273,0.00018053633,0.00024302762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014117535,0.0005592822,0.00086783833,0.00092912815,0.00064024096,0.0018852925,0.0007658146,0.001396538,0.0041220225],"category_scores_gemma":[0.0037123268,0.0005026823,0.0013911865,0.0022459861,0.00041038214,0.0010589352,0.0010013111,0.00092406897,0.00091732835],"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":[0.001549582,0.00042827273,0.89276195,0.00024347153,0.0018025144,0.0023772982,0.0012754466,0.074407585,0.00119076,0.0033476716,0.004672541,0.015942993],"study_design_scores_gemma":[0.00010363225,0.0002611272,0.9522946,0.000118973585,0.0011683928,0.00034981957,0.0016569803,0.037272852,0.0013073923,0.0014598534,0.0039219297,0.00008438051],"about_ca_topic_score_codex":0.060000923,"about_ca_topic_score_gemma":0.042492803,"teacher_disagreement_score":0.060000923,"about_ca_system_score_codex":0.0010658466,"about_ca_system_score_gemma":0.0010413234,"threshold_uncertainty_score":0.119303346},"labels":[],"label_agreement":null},{"id":"W2012313567","doi":"10.1007/s10490-009-9140-9","title":"A stage-dependent model of resource utilization, strategic flexibility, and implications for performance over time: Empirical evidence from a transitional environment","year":2009,"lang":"en","type":"article","venue":"Asia Pacific Journal of Management","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":28,"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":"Flexibility (engineering); Resource (disambiguation); Industrial organization; Government (linguistics); Business; China; Process (computing); Production (economics); Affect (linguistics); Economic system; Economics; Microeconomics; Computer science","score_opus":0.1445193688498735,"score_gpt":0.2776454776058032,"score_spread":0.13312610875592973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012313567","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":[0.9781706,0.00023744925,0.016686786,0.00071969826,0.000025201734,0.000051932308,0.0005473888,0.00006606297,0.003494956],"genre_scores_gemma":[0.99284655,0.00016114565,0.0012528552,0.000036643152,0.000008551123,0.000035319452,0.00023835983,0.000018485563,0.005402145],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99928135,0.00018665771,0.000032043165,0.00015570155,0.000047286183,0.0002969524],"domain_scores_gemma":[0.9936805,0.0033668499,0.0012812521,0.00042623607,0.00034691583,0.00089821545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002596359,0.0007619373,0.0011836952,0.00074719224,0.00094239466,0.0031164777,0.0023561588,0.0022074464,0.010461067],"category_scores_gemma":[0.006083597,0.0009972977,0.0017306001,0.0012660265,0.0016713279,0.0026876593,0.0015608988,0.002209076,0.0015901505],"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":[0.004071907,0.0020910178,0.20163135,0.00029488682,0.0007097131,0.0012278213,0.0035635994,0.6093087,0.0063623036,0.14244694,0.0040732645,0.024218498],"study_design_scores_gemma":[0.00028590203,0.0006205463,0.08282755,0.000038176804,0.00040915824,0.00021500267,0.0013094419,0.8507086,0.0006901712,0.060972113,0.0018048674,0.00011840441],"about_ca_topic_score_codex":0.027452962,"about_ca_topic_score_gemma":0.028320514,"teacher_disagreement_score":0.027452962,"about_ca_system_score_codex":0.002110969,"about_ca_system_score_gemma":0.0020373042,"threshold_uncertainty_score":0.05458635},"labels":[],"label_agreement":null},{"id":"W2012551371","doi":"10.5539/ibr.v5n6p24","title":"Technological Profiles and Technology Trade Flows for Some European and OECD Countries","year":2012,"lang":"en","type":"article","venue":"International Business Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Openness to experience; Context (archaeology); Globalization; European union; International trade; International economics; Foreign direct investment; Technological change; Economics; Investment (military); Balance of trade; Business; Political science; Geography; Macroeconomics; Market economy; Politics","score_opus":0.08131043971398123,"score_gpt":0.30486951039681504,"score_spread":0.22355907068283382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012551371","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":[0.98022044,0.0017138955,0.0003661462,0.0001353526,0.000009829663,0.000009501758,0.0043319003,0.000022445629,0.013190551],"genre_scores_gemma":[0.9914488,0.0014312045,0.00037310622,0.00002886733,0.000016490092,0.000014621998,0.0046972227,0.0000115919765,0.0019780677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996964,0.000055136064,0.000045139706,0.000056786266,0.000067173096,0.0000793546],"domain_scores_gemma":[0.9983779,0.00042165743,0.000806676,0.00008678491,0.00019685649,0.000110124645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007393482,0.00020341435,0.00017307531,0.0050082784,0.00034430836,0.0017251915,0.000105146144,0.00025297227,0.0028514685],"category_scores_gemma":[0.0017911172,0.00007244607,0.00043328977,0.0076757288,0.00027251034,0.0010895655,0.00066604343,0.00024255036,0.00057605415],"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":[0.00030369117,0.000061033203,0.94936734,0.00014150089,0.00020339803,0.0004890446,0.000990737,0.0027726232,0.00055606803,0.006792859,0.0018701685,0.03645153],"study_design_scores_gemma":[0.000009853869,0.000060676528,0.9792571,0.0000767201,0.000084509535,0.0004311719,0.0023321672,0.0008833323,0.00071399,0.0017910608,0.014340592,0.000018776018],"about_ca_topic_score_codex":0.003458309,"about_ca_topic_score_gemma":0.0029140564,"teacher_disagreement_score":0.0050082784,"about_ca_system_score_codex":0.00043367225,"about_ca_system_score_gemma":0.00030169074,"threshold_uncertainty_score":0.009539068},"labels":[],"label_agreement":null},{"id":"W2012647587","doi":"10.5539/ass.v10n18p96","title":"Deficiency in Investment in Early Education: The Second-Best Optimal Levels of Investment in Later Education and Human Capital","year":2014,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Complementarity (molecular biology); Investment (military); Human capital; Economics; Offset (computer science); Labour economics; Market economy; Political science; Biology; Computer science","score_opus":0.023850281560452078,"score_gpt":0.24726692144171278,"score_spread":0.2234166398812607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012647587","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":[0.8253721,0.0031757383,0.092886396,0.0062182145,0.00012416265,0.00021669552,0.0009765338,0.00014081981,0.07088935],"genre_scores_gemma":[0.987954,0.00048221654,0.006381825,0.0001635008,0.000021188065,0.000051419458,0.000075056705,0.000014448937,0.0048562754],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99940753,0.00024227871,0.000021187367,0.000090948575,0.00004202819,0.00019602447],"domain_scores_gemma":[0.99836177,0.0007448035,0.00030562712,0.000091705806,0.00013575928,0.00036026878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001666899,0.00064923614,0.0010405291,0.00059735985,0.00043315496,0.0025094515,0.0005082156,0.0017614143,0.0038699682],"category_scores_gemma":[0.0045511853,0.00043062953,0.0004276443,0.00045676614,0.00089883816,0.0018346999,0.0011429104,0.00097437704,0.0003625415],"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":[0.0019885867,0.00066846353,0.03979114,0.001197883,0.00038358857,0.0014186426,0.0016445528,0.32679003,0.010211151,0.49106556,0.008898087,0.115942255],"study_design_scores_gemma":[0.0004638183,0.0010856569,0.051171333,0.0007185827,0.00022425964,0.0009906163,0.0028521018,0.23944756,0.007786679,0.6753897,0.019750003,0.00011976973],"about_ca_topic_score_codex":0.0034393084,"about_ca_topic_score_gemma":0.0034369996,"teacher_disagreement_score":0.0038699682,"about_ca_system_score_codex":0.0026925118,"about_ca_system_score_gemma":0.002630837,"threshold_uncertainty_score":0.019535601},"labels":[],"label_agreement":null},{"id":"W2015330848","doi":"10.1016/j.jeconom.2007.06.002","title":"Productivity trends in U.S. manufacturing: Evidence from the NQ and AIM cost functions","year":2007,"lang":"en","type":"article","venue":"Journal of Econometrics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":77,"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 Calgary","funders":"","keywords":"Technical change; Economics; Econometrics; Almost ideal demand system; Mathematics; Production (economics); Nonparametric statistics; Mathematical economics; Econometric model; Productivity; Microeconomics; Macroeconomics","score_opus":0.1702671962788213,"score_gpt":0.24999945393315154,"score_spread":0.07973225765433023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015330848","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":[0.99143094,0.0010505029,0.0008812347,0.0012127348,0.00002464623,0.0000063767707,0.002106524,0.00003254317,0.003254376],"genre_scores_gemma":[0.99665654,0.00055055314,0.0002091662,0.00007740175,0.00003555362,0.000004287438,0.0018582508,0.000009670511,0.0005985429],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992937,0.0002715297,0.00006465931,0.00008275606,0.00021334796,0.000073972515],"domain_scores_gemma":[0.98064315,0.009477617,0.0046388675,0.00096324197,0.0037007493,0.0005763405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00217337,0.00023970904,0.00027089106,0.0017084732,0.00027339096,0.0009281196,0.00050016085,0.0006581098,0.0020611198],"category_scores_gemma":[0.02036982,0.0001971164,0.00041726168,0.0040952708,0.00041019285,0.001140388,0.0006999149,0.0011403011,0.00069463474],"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":[0.0003222638,0.00012832957,0.9477044,0.00007158526,0.00013184111,0.00008360573,0.00043393672,0.0077726524,0.00023538075,0.0038096118,0.0054973257,0.0338091],"study_design_scores_gemma":[0.00001815161,0.000078926,0.9863842,0.000026038053,0.000073438,0.000045707708,0.00046462138,0.009507876,0.00019121991,0.0011635786,0.0020330984,0.000013175136],"about_ca_topic_score_codex":0.053265117,"about_ca_topic_score_gemma":0.041693952,"teacher_disagreement_score":0.053265117,"about_ca_system_score_codex":0.0009821679,"about_ca_system_score_gemma":0.0004677824,"threshold_uncertainty_score":0.10591018},"labels":[],"label_agreement":null},{"id":"W2015505007","doi":"10.2113/gsecongeo.104.8.1292","title":"Society of Economic Geologists Silver Medal for 2008: Citation of Mark D. Hannington","year":2009,"lang":"en","type":"article","venue":"Economic Geology","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Australian National University; University of Calgary","keywords":"Medal; Citation; Library science; Art; Art history; History; Political science; Computer science","score_opus":0.028217963673759238,"score_gpt":0.2381539065148618,"score_spread":0.20993594284110256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015505007","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00044762364,0.0440561,0.000300828,0.47888625,0.38223073,0.0000687622,0.0017953437,0.00029700864,0.09191734],"genre_scores_gemma":[0.00878877,0.051716182,0.00053927896,0.07203393,0.1269369,0.00023701893,0.0023478554,0.00039800664,0.737002],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99821967,0.00023188035,0.0001529686,0.00034375716,0.0007206834,0.0003311696],"domain_scores_gemma":[0.9943838,0.0008297958,0.00048800273,0.0004911941,0.0024569782,0.0013502204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031914772,0.0017766055,0.0014599256,0.0025638444,0.0026998112,0.009228246,0.0017046422,0.009773252,0.066826046],"category_scores_gemma":[0.012176093,0.0007290436,0.0005363932,0.0028227738,0.0011231788,0.0057412353,0.003566838,0.0067674913,0.061977398],"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":[0.0000021950211,0.00000280088,0.000025392454,0.000013306362,5.125832e-7,0.0000068377803,0.0000071610543,0.000003077694,0.0000048917955,0.0004745867,0.9970252,0.002434024],"study_design_scores_gemma":[0.0000014185293,0.000002061766,0.00021272442,0.00006734304,6.5816926e-7,0.000010712468,0.000031573345,0.000010890457,0.000007176198,0.00016810595,0.9994843,0.0000029960208],"about_ca_topic_score_codex":0.007475637,"about_ca_topic_score_gemma":0.012674476,"teacher_disagreement_score":0.066826046,"about_ca_system_score_codex":0.0032746443,"about_ca_system_score_gemma":0.0062297205,"threshold_uncertainty_score":0.22355539},"labels":[],"label_agreement":null},{"id":"W2015596745","doi":"10.1257/mac.3.3.127","title":"Structural Change Out of Agriculture: Labor Push versus Labor Pull","year":2011,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":248,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Agriculture; Channel (broadcasting); Economics; Labour economics; Key (lock); Business; Engineering; Computer science; Geography; Telecommunications","score_opus":0.05172618443292935,"score_gpt":0.23364373203289326,"score_spread":0.18191754759996392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015596745","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":[0.9630498,0.00047494867,0.0090841735,0.0037756858,0.000057882888,0.00011954023,0.00064715376,0.00007105215,0.022719825],"genre_scores_gemma":[0.99378866,0.00030256607,0.00039926992,0.00014926857,0.00006260433,0.000023716917,0.00014575501,0.0000067521432,0.005121457],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995807,0.00009563731,0.0000176656,0.00009823337,0.00006028664,0.0001475534],"domain_scores_gemma":[0.99859816,0.0004994045,0.0005210981,0.00007413565,0.0000636628,0.00024357502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071320107,0.00037590327,0.0005398711,0.00067473715,0.00085211714,0.0021152848,0.0006687215,0.0014906432,0.013665922],"category_scores_gemma":[0.0018772868,0.0002651423,0.0007395342,0.0009070137,0.001956284,0.0017003679,0.0013947742,0.0009797558,0.0010027011],"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":[0.00093301124,0.000775267,0.51250386,0.0004222686,0.0003275171,0.0017582322,0.003055619,0.08752683,0.005140756,0.29230168,0.011377042,0.08387785],"study_design_scores_gemma":[0.0006830082,0.0014821974,0.423385,0.00028274546,0.00062042114,0.0011364452,0.011353846,0.28878912,0.002725873,0.2250999,0.04426218,0.00017936848],"about_ca_topic_score_codex":0.0086774165,"about_ca_topic_score_gemma":0.012860376,"teacher_disagreement_score":0.013665922,"about_ca_system_score_codex":0.001305654,"about_ca_system_score_gemma":0.00066239055,"threshold_uncertainty_score":0.04571706},"labels":[],"label_agreement":null},{"id":"W2016484752","doi":"10.2202/1524-5861.1049","title":"The Effects of Foreign Direct Investment on Human Development","year":2004,"lang":"en","type":"article","venue":"Global economy journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":132,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Foreign direct investment; Economics; Human Development Index; Investment (military); Developing country; International economics; Human development (humanity); Macroeconomics; Economic growth; Political science; Politics","score_opus":0.021287214352210176,"score_gpt":0.21794142530083666,"score_spread":0.19665421094862648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016484752","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":[0.958113,0.0087464675,0.0011813926,0.0026843622,0.00011399365,0.000026719186,0.0021688268,0.000041508625,0.026923796],"genre_scores_gemma":[0.99284595,0.002836374,0.00018423401,0.000093032926,0.00004059713,0.000010355906,0.0005314581,0.0000051773336,0.0034527672],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990509,0.00036496617,0.00004554669,0.000095798714,0.00013673856,0.00030605402],"domain_scores_gemma":[0.99142516,0.004039054,0.0025576537,0.00023100968,0.0006196634,0.0011274776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011968509,0.0003712384,0.00034133586,0.0011597605,0.00031638503,0.0012791163,0.00019621034,0.00034642662,0.006256298],"category_scores_gemma":[0.0056201993,0.00009843956,0.0005138575,0.0018074138,0.00072546466,0.00061498844,0.0009870732,0.00085023185,0.00052290695],"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":[0.0003395602,0.00013808253,0.9510379,0.00011906523,0.00042495228,0.000736024,0.00037058035,0.0090701245,0.00038501236,0.008617353,0.0016195711,0.027141847],"study_design_scores_gemma":[0.000018688657,0.00024357304,0.9849628,0.00013346536,0.00017673399,0.0003473956,0.001027719,0.0020103827,0.00086644146,0.0024418884,0.007749567,0.00002126054],"about_ca_topic_score_codex":0.019986166,"about_ca_topic_score_gemma":0.017906599,"teacher_disagreement_score":0.019986166,"about_ca_system_score_codex":0.0012472983,"about_ca_system_score_gemma":0.0010150974,"threshold_uncertainty_score":0.03973967},"labels":[],"label_agreement":null},{"id":"W2016782638","doi":"10.1111/j.1465-7287.2008.00133.x","title":"IS NORTH‐SOUTH TRADE‐RELATED TECHNOLOGY DIFFUSION REGIONAL?","year":2009,"lang":"en","type":"article","venue":"Contemporary Economic Policy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Latin Americans; Index (typography); Diffusion; International trade; Dimension (graph theory); Economic geography; Economics; International economics; Regional trade; Developing country; Geography; Free trade; Economic growth; Political science","score_opus":0.04215925848294869,"score_gpt":0.22958503660630764,"score_spread":0.18742577812335895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016782638","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":[0.8774869,0.005253402,0.008927054,0.0075809397,0.000057994017,0.000027527523,0.00034231893,0.00006131982,0.100262664],"genre_scores_gemma":[0.99658716,0.0012979135,0.0006653687,0.00024060329,0.000040758154,0.0000065735417,0.000070376576,0.0000087732315,0.0010824949],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951077,0.00010987039,0.000032184922,0.00016347549,0.00007727575,0.000106365485],"domain_scores_gemma":[0.9960748,0.0014663251,0.0015941997,0.00031480513,0.00035069985,0.00019918689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012830312,0.00015226762,0.000387502,0.0009202619,0.0005265664,0.002293531,0.0002846547,0.00053749944,0.0076505896],"category_scores_gemma":[0.0037450683,0.00013800344,0.0005870216,0.0017812441,0.001648596,0.0024526955,0.0012681838,0.0006974237,0.0006789659],"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":[0.00054001866,0.00014396565,0.55223346,0.0009087331,0.0005389716,0.0017138533,0.008416431,0.0057933037,0.009810523,0.28138736,0.0048759105,0.1336375],"study_design_scores_gemma":[0.000098605975,0.00016706758,0.7323165,0.00053119595,0.00044592246,0.0023616443,0.010796245,0.0073081255,0.0054419576,0.16874343,0.07171587,0.00007337865],"about_ca_topic_score_codex":0.0028479467,"about_ca_topic_score_gemma":0.002952863,"teacher_disagreement_score":0.0076505896,"about_ca_system_score_codex":0.00081647345,"about_ca_system_score_gemma":0.00061571767,"threshold_uncertainty_score":0.025593758},"labels":[],"label_agreement":null},{"id":"W2017417938","doi":"10.11130/jei.2003.18.1.188","title":"Economic Convergence in the European Union","year":2003,"lang":"en","type":"article","venue":"Journal of Economic Integration","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada; University of British Columbia","keywords":"European union; Convergence (economics); Economics; International economics; Macroeconomics","score_opus":0.02961586451933013,"score_gpt":0.2222209094020121,"score_spread":0.19260504488268199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017417938","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":[0.41210973,0.052937753,0.015428455,0.009066293,0.0005290412,0.000055295957,0.00038568815,0.0000910057,0.50939673],"genre_scores_gemma":[0.9853689,0.00820124,0.0023875984,0.00045708523,0.00023074127,0.00003466753,0.00019472753,0.00002120783,0.0031039258],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99609876,0.0021003021,0.00024617612,0.0004318305,0.0007109596,0.0004119907],"domain_scores_gemma":[0.9963307,0.0015343721,0.0006398325,0.0002908517,0.0009941679,0.0002101281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005585579,0.0003947455,0.0007495125,0.00434692,0.0013026226,0.004883014,0.0003139527,0.0008945837,0.0032871985],"category_scores_gemma":[0.013628814,0.00013793555,0.00043552494,0.0066871066,0.0030804717,0.004506022,0.0037524411,0.0013616366,0.000429997],"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":[0.00013519338,0.00005032362,0.02846098,0.00018769491,0.000081953585,0.00049410434,0.0038237819,0.0068974863,0.00012573414,0.85609746,0.0051499056,0.098495364],"study_design_scores_gemma":[0.00005805298,0.00015462293,0.10684457,0.0020670963,0.000081108425,0.0010209543,0.007753612,0.009230321,0.00072416733,0.6920141,0.1799827,0.000068735586],"about_ca_topic_score_codex":0.0019916869,"about_ca_topic_score_gemma":0.0006564542,"teacher_disagreement_score":0.005585579,"about_ca_system_score_codex":0.0018623316,"about_ca_system_score_gemma":0.0009883964,"threshold_uncertainty_score":0.029539704},"labels":[],"label_agreement":null},{"id":"W2018100637","doi":"10.1111/1468-2354.t01-1-00050","title":"Aggregate Fluctuations with National and International Returns to Scale*","year":2002,"lang":"en","type":"article","venue":"International Economic Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Economics; Returns to scale; Aggregate (composite); Monetary economics; Productivity; Variety (cybernetics); Econometrics; Constant (computer programming); Total factor productivity; Balance of trade; Scale (ratio); Macroeconomics; Production (economics); Mathematics","score_opus":0.04642981095139421,"score_gpt":0.25569647357982844,"score_spread":0.20926666262843424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018100637","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":[0.6441327,0.008101484,0.23467079,0.0074053877,0.00048182075,0.00019152899,0.0046709185,0.0017217237,0.09862373],"genre_scores_gemma":[0.9893133,0.0019206421,0.0031796552,0.00015178099,0.00016050818,0.00005488568,0.00062466826,0.00004877659,0.004545724],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99932444,0.00012830891,0.00005594133,0.00017117542,0.0002466652,0.00007339436],"domain_scores_gemma":[0.9964024,0.0009345388,0.0016890274,0.0005567447,0.00034007055,0.00007717993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014490044,0.0005276554,0.0005304893,0.0009797632,0.00023933862,0.00247774,0.00036100348,0.0008004016,0.0035620774],"category_scores_gemma":[0.010227197,0.00031437443,0.00063145405,0.0031579891,0.0008180513,0.0023599772,0.00082872924,0.0006468885,0.001041136],"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":[0.0001665969,0.00013328357,0.107733615,0.00028199278,0.0004654685,0.0011793335,0.0005942834,0.28812394,0.0065697916,0.4210345,0.02223223,0.151485],"study_design_scores_gemma":[0.000037422276,0.00012203924,0.19328938,0.00010168918,0.00018174828,0.0009902719,0.00032254437,0.3812207,0.0022322498,0.3851994,0.03619224,0.00011036824],"about_ca_topic_score_codex":0.0026096883,"about_ca_topic_score_gemma":0.0013241412,"teacher_disagreement_score":0.0035620774,"about_ca_system_score_codex":0.0011443241,"about_ca_system_score_gemma":0.00038556653,"threshold_uncertainty_score":0.01191628},"labels":[],"label_agreement":null},{"id":"W2019637004","doi":"10.1007/s00148-009-0279-y","title":"Structural instability and alternative development scenarios","year":2009,"lang":"en","type":"article","venue":"Journal of Population Economics","topic":"Economic Growth and Productivity","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":"University of Guelph","funders":"","keywords":"Plague (disease); Population growth; Development economics; Economics; Emigration; Population; Productivity; Social policy; Economic geography; Geography; History; Economic growth; Demography; Sociology; Ancient history; Market economy","score_opus":0.036027195040512446,"score_gpt":0.22969590763560058,"score_spread":0.19366871259508814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019637004","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":[0.8404847,0.00062439824,0.043135155,0.008364963,0.00013781992,0.00012933533,0.00079437136,0.00012603408,0.106203064],"genre_scores_gemma":[0.99630105,0.00019649495,0.0012052557,0.00007356041,0.00002878679,0.000028462784,0.00007412512,0.000009749397,0.0020824831],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999537,0.00024083337,0.000016320724,0.000040571933,0.00003934756,0.0001260203],"domain_scores_gemma":[0.9974625,0.0013392321,0.00036156454,0.0002122585,0.0002749788,0.0003493772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015015147,0.0004580716,0.0005771707,0.001449506,0.001027265,0.0027735862,0.0009831289,0.0027133839,0.008939576],"category_scores_gemma":[0.007573821,0.00029310837,0.0007696452,0.0012274156,0.0015264526,0.002401756,0.0013156733,0.0011940632,0.00045905996],"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":[0.00044592476,0.00015788696,0.0033070561,0.000066329936,0.000060993338,0.00069399807,0.00035193985,0.18670906,0.00044149606,0.7932888,0.0042795916,0.010196924],"study_design_scores_gemma":[0.00020385225,0.000097021584,0.002156794,0.000024700881,0.000045976445,0.00017544528,0.0006027488,0.3833039,0.00013437714,0.6101879,0.0030318697,0.000035333687],"about_ca_topic_score_codex":0.0036564018,"about_ca_topic_score_gemma":0.0039789653,"teacher_disagreement_score":0.008939576,"about_ca_system_score_codex":0.0013958844,"about_ca_system_score_gemma":0.0005439034,"threshold_uncertainty_score":0.029905796},"labels":[],"label_agreement":null},{"id":"W201992037","doi":"","title":"Explaining Slower Productivity Growth: The Role of Weak Demand Growth","year":2015,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Productivity; Economics; Macroeconomics","score_opus":0.03319888594713171,"score_gpt":0.20200629667487302,"score_spread":0.1688074107277413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W201992037","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":[0.9158304,0.0050198096,0.0043414067,0.014697769,0.00009958939,0.000098819386,0.01092533,0.00015832203,0.048828468],"genre_scores_gemma":[0.99261886,0.0014034525,0.00032056973,0.0002875126,0.000037587626,0.000011816738,0.002494213,0.000025137477,0.0028007282],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981937,0.00014010916,0.000069359594,0.0002223206,0.0005181778,0.0008562582],"domain_scores_gemma":[0.9926254,0.0020268196,0.0021695604,0.00045215472,0.0019377703,0.0007882244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029545662,0.00081278663,0.0008179399,0.0030590831,0.001739973,0.0035552632,0.0009702505,0.000828192,0.0049233097],"category_scores_gemma":[0.010392717,0.000428729,0.0007773889,0.0047575203,0.0018429313,0.0019174416,0.0022573187,0.0026776257,0.00086435984],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016965506,0.000059089936,0.9093878,0.0003396758,0.00019786092,0.0006733064,0.0025869652,0.01254596,0.0009073238,0.026278984,0.009480276,0.0373731],"study_design_scores_gemma":[0.00003347369,0.000041217027,0.94663894,0.00015059879,0.00009409198,0.00010848838,0.004230805,0.013061497,0.00060754403,0.012444471,0.022527559,0.000061365594],"about_ca_topic_score_codex":0.8562148,"about_ca_topic_score_gemma":0.81293887,"teacher_disagreement_score":0.8562148,"about_ca_system_score_codex":0.012341615,"about_ca_system_score_gemma":0.011792843,"threshold_uncertainty_score":0.2892639},"labels":[],"label_agreement":null},{"id":"W2023019109","doi":"10.1111/1467-6419.00201","title":"Productivity, Technology and Economic Growth: What is the Relationship?","year":2003,"lang":"en","type":"article","venue":"Journal of Economic Surveys","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Royal Society Te Apārangi","keywords":"Total factor productivity; Economics; Technological change; Growth accounting; Productivity; Technical change; Endogenous growth theory; Technical progress; Returns to scale; Macroeconomics; Neoclassical economics; Econometrics; Production (economics); Economic growth","score_opus":0.046306916291396015,"score_gpt":0.23754435033402385,"score_spread":0.19123743404262783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023019109","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14784513,0.3991749,0.025873672,0.33895734,0.0021257927,0.00006622709,0.0008897337,0.00012372588,0.084943436],"genre_scores_gemma":[0.70240474,0.27030256,0.0057452344,0.010424802,0.0047784997,0.00008598001,0.00035956892,0.00004979683,0.005848788],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99861944,0.0005880949,0.00006309527,0.00020394419,0.00032349644,0.00020193835],"domain_scores_gemma":[0.9889286,0.008104984,0.0011327349,0.000299254,0.0010453273,0.00048914156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027312462,0.0007044291,0.0011568344,0.003845531,0.0013297417,0.0076219565,0.0009694702,0.003948483,0.008264373],"category_scores_gemma":[0.017147416,0.00035650693,0.000628713,0.010546691,0.006761974,0.018427595,0.0022362277,0.004203549,0.0013838586],"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":[0.0001787835,0.00026526485,0.059406172,0.0013768331,0.00020562454,0.00030761815,0.0021003468,0.0052052494,0.00038737207,0.71182287,0.019277584,0.19946636],"study_design_scores_gemma":[0.000027231505,0.00009044505,0.03355969,0.0010972738,0.00008302119,0.0003234517,0.0032908514,0.003263438,0.00027278412,0.90067977,0.057243176,0.000068810055],"about_ca_topic_score_codex":0.005303706,"about_ca_topic_score_gemma":0.0022389414,"teacher_disagreement_score":0.008264373,"about_ca_system_score_codex":0.0022883085,"about_ca_system_score_gemma":0.0016191871,"threshold_uncertainty_score":0.027647018},"labels":[],"label_agreement":null},{"id":"W2025815289","doi":"10.7202/050835ar","title":"Cyclical Variations in the Duration of Unemployment Spells","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Unemployment; Duration (music); Business cycle; Variety (cybernetics); Econometrics; Economics; Work (physics); Invariant (physics); Demographic economics; Statistics; Mathematics; Macroeconomics; Engineering","score_opus":0.042935829508533606,"score_gpt":0.22890551988195051,"score_spread":0.1859696903734169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025815289","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":[0.99311537,0.00048749047,0.0006133273,0.00017482085,0.000014050178,0.0000074835225,0.0016920982,0.000022365653,0.0038729466],"genre_scores_gemma":[0.99838054,0.00012769284,0.00010419501,0.000014890634,0.0000165213,0.0000053945837,0.0008668137,0.0000053915596,0.00047847978],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994875,0.00009963144,0.000054513926,0.00012017674,0.00012852128,0.00010947321],"domain_scores_gemma":[0.995002,0.001543153,0.0022069837,0.0003307771,0.0006550855,0.00026192714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011547105,0.000084053085,0.0002468054,0.0016184843,0.00025468812,0.0008185718,0.00024613732,0.0003698621,0.0018152075],"category_scores_gemma":[0.008356743,0.00013475574,0.00018416735,0.0021808913,0.0002952154,0.00040138917,0.0004621005,0.00035333534,0.0005029838],"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":[0.00030073675,0.000055093544,0.96246374,0.00005797695,0.000115678165,0.00015768548,0.0010113381,0.0054423036,0.0024860073,0.0044703195,0.0017895232,0.021649474],"study_design_scores_gemma":[0.000003658932,0.000024367992,0.9951348,0.000014190644,0.000009876413,0.000052472726,0.00021286361,0.0019177158,0.00010625925,0.00067891704,0.0018357832,0.000009092506],"about_ca_topic_score_codex":0.007913923,"about_ca_topic_score_gemma":0.013053856,"teacher_disagreement_score":0.007913923,"about_ca_system_score_codex":0.00051053596,"about_ca_system_score_gemma":0.00023847532,"threshold_uncertainty_score":0.015735686},"labels":[],"label_agreement":null},{"id":"W2028852071","doi":"10.5430/rwe.v1n1p10","title":"Functionary Mechanism between Demographic Structure and Economic Growth in China Based on Cointegrating Methods","year":2010,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Science Foundation","keywords":"Cointegration; Economics; China; Error correction model; Per capita; Birth rate; Demographic transition; Wage; Population; Demographic economics; Labour economics; Econometrics; Fertility; Demography; Geography","score_opus":0.05412082470434268,"score_gpt":0.31972040993536166,"score_spread":0.265599585231019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028852071","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":[0.76851994,0.00097412604,0.22497842,0.0011301822,0.00007977361,0.00010006215,0.00032499447,0.00021469517,0.0036777807],"genre_scores_gemma":[0.9924154,0.00038273513,0.005605823,0.000032625663,0.00002159071,0.000054488155,0.00017768801,0.000011371734,0.0012981537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987674,0.0006250361,0.00007282183,0.00027340825,0.0000990749,0.00016228607],"domain_scores_gemma":[0.9969982,0.001802031,0.00056957523,0.0001819795,0.00035669887,0.000091588496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026660718,0.00042035154,0.00059974764,0.0017234718,0.00050554064,0.001124201,0.00064862234,0.00061069825,0.0021716035],"category_scores_gemma":[0.008986478,0.00023968276,0.0010315852,0.0016772242,0.0008105093,0.0015306773,0.00075416017,0.0005729945,0.00013900717],"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":[0.00015405242,0.00012877736,0.44355425,0.00022123271,0.00066661293,0.0010927046,0.0017860163,0.2528274,0.0018083381,0.19174315,0.0019382031,0.10407928],"study_design_scores_gemma":[0.00002407469,0.00006126699,0.06412966,0.000035909998,0.00015286884,0.00008851353,0.00026117818,0.90479434,0.0004935283,0.028625378,0.0013004859,0.00003276816],"about_ca_topic_score_codex":0.021522768,"about_ca_topic_score_gemma":0.010865716,"teacher_disagreement_score":0.021522768,"about_ca_system_score_codex":0.00097174227,"about_ca_system_score_gemma":0.0017934027,"threshold_uncertainty_score":0.042794943},"labels":[],"label_agreement":null},{"id":"W2029442971","doi":"10.2202/1935-1690.1370","title":"TFP Differences and the Aggregate Effects of Labor Mobility in the Long Run","year":2007,"lang":"en","type":"article","venue":"The B E Journal of Macroeconomics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Total factor productivity; Economics; Capital (architecture); Labour economics; Context (archaeology); Productivity; Stock (firearms); Macroeconomics","score_opus":0.012265914198452115,"score_gpt":0.20891196671335813,"score_spread":0.19664605251490602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029442971","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":[0.9799177,0.0007328794,0.011213193,0.0015919927,0.000020541422,0.000010825156,0.0005055062,0.00007073242,0.0059367134],"genre_scores_gemma":[0.9983267,0.00026038423,0.0004430628,0.000046081546,0.000015231599,0.0000075342223,0.00008375239,0.0000064419896,0.00081073283],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9997415,0.00007212151,0.000015247629,0.000060215716,0.000024262086,0.00008657636],"domain_scores_gemma":[0.9975063,0.0011885454,0.00078737503,0.00020922798,0.00010979267,0.00019884182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009638572,0.00042529267,0.0005428877,0.0005473181,0.00043212718,0.0016318114,0.0004164911,0.0011340027,0.00348263],"category_scores_gemma":[0.0054385066,0.00024890268,0.00070854224,0.0010270277,0.0011670792,0.001789953,0.0013368917,0.00090334524,0.0002832715],"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":[0.0009543424,0.00015235288,0.17080471,0.0002016393,0.0005038284,0.001258905,0.00061267865,0.63311064,0.008437977,0.15452221,0.0025945685,0.026846161],"study_design_scores_gemma":[0.00018876986,0.00047698125,0.3058418,0.0001035718,0.00049152377,0.00043895375,0.0014081687,0.37679848,0.0033174313,0.30494303,0.005838763,0.00015261005],"about_ca_topic_score_codex":0.009296165,"about_ca_topic_score_gemma":0.0073644626,"teacher_disagreement_score":0.009296165,"about_ca_system_score_codex":0.001413608,"about_ca_system_score_gemma":0.00049185194,"threshold_uncertainty_score":0.018484116},"labels":[],"label_agreement":null},{"id":"W2029503669","doi":"10.1177/0027950107080386","title":"Factors Affecting the US Current Account: An Historical Decomposition","year":2007,"lang":"en","type":"article","venue":"National Institute Economic Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Current account; Economics; Liberian dollar; Quarter (Canadian coin); Monetary economics; Real gross domestic product; Investment (military); Private sector; Balance of trade; Fell; International economics; Exchange rate; Geography; Finance; Economic growth","score_opus":0.1185437050532554,"score_gpt":0.33044204143006334,"score_spread":0.21189833637680794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029503669","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":[0.4527022,0.23362575,0.0057685236,0.01281016,0.0014466194,0.00025177834,0.06770677,0.00037649108,0.22531174],"genre_scores_gemma":[0.79722553,0.15289623,0.0033170588,0.0008472608,0.0011485921,0.000081097234,0.033914227,0.000098192526,0.010471808],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99959415,0.000047320438,0.00006135258,0.000074539625,0.00017344343,0.000049170005],"domain_scores_gemma":[0.998066,0.00019060531,0.00044505004,0.000052487245,0.0011319284,0.00011387415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007703383,0.00048400846,0.00024744487,0.00541353,0.00041687998,0.0024228054,0.00025780674,0.00044572266,0.003482314],"category_scores_gemma":[0.002896968,0.00025105246,0.00031898124,0.013615314,0.00035389597,0.0017307181,0.0005899261,0.0010040145,0.0011665901],"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":[0.0002540867,0.000149496,0.36639994,0.0014415889,0.00028536507,0.0007275705,0.001351694,0.00730163,0.0014702706,0.06968857,0.11429818,0.4366315],"study_design_scores_gemma":[0.000007924431,0.00007147362,0.570397,0.00072916027,0.00014026082,0.0005980539,0.0009194759,0.0026839548,0.0009978537,0.004319522,0.41908115,0.000054201137],"about_ca_topic_score_codex":0.047269538,"about_ca_topic_score_gemma":0.042258453,"teacher_disagreement_score":0.047269538,"about_ca_system_score_codex":0.003454239,"about_ca_system_score_gemma":0.0011681942,"threshold_uncertainty_score":0.093988776},"labels":[],"label_agreement":null},{"id":"W2029534734","doi":"10.5539/cis.v5n5p55","title":"Growth of ICT Capital and Deceleration of Labour Productivity in the EU Countries: The Missing Links","year":2012,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Information and Communications Technology; Workforce; ICTS; Capital (architecture); Service (business); Eu countries; Business; Labour economics; Economics; European union; Computer science; Economic growth; Economy; International trade","score_opus":0.020148378733223043,"score_gpt":0.2103064048553545,"score_spread":0.19015802612213148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029534734","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":[0.97191197,0.0077860276,0.0006539214,0.0039983233,0.0001004042,0.000011339757,0.0030157939,0.000053771768,0.012468483],"genre_scores_gemma":[0.9959382,0.0019651642,0.0001581416,0.00010990228,0.000031018317,0.0000040832747,0.0010173381,0.000006627494,0.0007695936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962234,0.000048009668,0.000044802837,0.00007838144,0.000053015967,0.00015340137],"domain_scores_gemma":[0.99791104,0.00052353705,0.00082051044,0.0001434226,0.00030398433,0.00029752706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007171596,0.00022086775,0.00028076506,0.0015123348,0.00025172165,0.002170268,0.000293086,0.00055163755,0.002847569],"category_scores_gemma":[0.0028192354,0.0001335315,0.0004115643,0.0034675489,0.0005853692,0.001503507,0.0010908226,0.0007643022,0.00045467896],"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":[0.00052866957,0.00009415,0.88991314,0.0002938583,0.00019128983,0.0009655562,0.0013113779,0.0041725296,0.0005897355,0.015492017,0.0068123024,0.07963533],"study_design_scores_gemma":[0.000012943633,0.000059075897,0.9826422,0.00021293573,0.00004966441,0.00024349075,0.0015466273,0.0008690413,0.00048876397,0.002632882,0.011226058,0.00001637646],"about_ca_topic_score_codex":0.01056997,"about_ca_topic_score_gemma":0.0042441133,"teacher_disagreement_score":0.01056997,"about_ca_system_score_codex":0.00071331253,"about_ca_system_score_gemma":0.0007260671,"threshold_uncertainty_score":0.021016896},"labels":[],"label_agreement":null},{"id":"W2030100902","doi":"10.1108/jes-04-2013-0057","title":"Structural breaks and labor market disparities in the Canadian provinces","year":2015,"lang":"en","type":"article","venue":"Journal of Economic Studies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"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":"Unemployment; Unit root; Convergence (economics); Economics; Unemployment rate; Unit (ring theory); Structural break; Econometrics; Demographic economics; Macroeconomics; Mathematics","score_opus":0.06474463944929125,"score_gpt":0.2526397836340577,"score_spread":0.18789514418476644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030100902","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":[0.98472035,0.00085820333,0.00056450954,0.0012878679,0.00002360139,0.00003857768,0.003667542,0.000017910252,0.008821472],"genre_scores_gemma":[0.9977155,0.00023917129,0.00021092928,0.000048689213,0.000003991938,0.0000061956844,0.0009797147,0.000004549151,0.00079112704],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978103,0.00019306157,0.00008730762,0.00032818117,0.0007925502,0.00078866497],"domain_scores_gemma":[0.9953477,0.0007898067,0.0011936855,0.00034983378,0.0018013439,0.00051775156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018289917,0.00024664216,0.00059820135,0.0023405622,0.0032559512,0.0017036452,0.001287633,0.00039829963,0.004229529],"category_scores_gemma":[0.011399274,0.00022593234,0.00062572496,0.0067787985,0.0012802711,0.0005562246,0.0011059211,0.0009240589,0.00017416046],"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":[0.00034112978,0.000074811665,0.93223786,0.00013127239,0.00025865526,0.00026019214,0.005769773,0.007092909,0.00035171915,0.017363014,0.0051618153,0.030956905],"study_design_scores_gemma":[0.000022082784,0.000020534833,0.9854043,0.00007418547,0.000051557847,0.000029826078,0.0041076816,0.004351092,0.0001437133,0.0012171018,0.004551427,0.00002654163],"about_ca_topic_score_codex":0.9936335,"about_ca_topic_score_gemma":0.9933609,"teacher_disagreement_score":0.029853469,"about_ca_system_score_codex":0.029853469,"about_ca_system_score_gemma":0.038788944,"threshold_uncertainty_score":0.2166031},"labels":[],"label_agreement":null},{"id":"W2030280713","doi":"10.1111/j.1600-0706.2008.17063.x","title":"Wealth as a source of density dependence in human population growth","year":2008,"lang":"en","type":"article","venue":"Oikos","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Population growth; Population; Per capita; Birth rate; Gross domestic product; Population size; Population density; Economics; Fertility; Human capital; Demographic transition; Population momentum; Total fertility rate; Developing country; Socioeconomic status; Demography; Geography; Economic growth; Family planning; Research methodology","score_opus":0.03148662673748643,"score_gpt":0.22385665543601682,"score_spread":0.1923700286985304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030280713","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":[0.9103623,0.0015173542,0.046375442,0.0031133404,0.000059391234,0.00003100797,0.00044395338,0.00010596744,0.03799126],"genre_scores_gemma":[0.9969536,0.00045701064,0.0006240436,0.000043015552,0.000020805448,0.0000070829783,0.00004898566,0.000009995175,0.0018354214],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9998406,0.000058334026,0.0000062100657,0.000023678593,0.00002954615,0.000041569987],"domain_scores_gemma":[0.9981969,0.0010623464,0.00036524603,0.00013040984,0.00013859752,0.000106521285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070607377,0.00024720482,0.00030393447,0.0007903407,0.00045611826,0.0010865032,0.00041042417,0.00062712707,0.0023073524],"category_scores_gemma":[0.005417958,0.0003107127,0.00035099578,0.0006746571,0.0012028544,0.001456737,0.001184742,0.00081511156,0.0002110144],"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":[0.00020452889,0.00010932087,0.16806549,0.00016153374,0.00011971505,0.002532995,0.0013982679,0.20333232,0.0042898315,0.5657707,0.005392297,0.048623126],"study_design_scores_gemma":[0.000034578243,0.00006615907,0.09803423,0.000085096435,0.00007581428,0.001094993,0.00060139585,0.5554717,0.0012959344,0.3378808,0.0052650035,0.00009430579],"about_ca_topic_score_codex":0.006998094,"about_ca_topic_score_gemma":0.005043576,"teacher_disagreement_score":0.006998094,"about_ca_system_score_codex":0.0008390801,"about_ca_system_score_gemma":0.00034609108,"threshold_uncertainty_score":0.013914704},"labels":[],"label_agreement":null},{"id":"W2030581233","doi":"10.1257/jep.14.4.3","title":"The Resurgence of Growth in the Late 1990s: Is Information Technology the Story?","year":2000,"lang":"en","type":"article","venue":"The Journal of Economic Perspectives","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1751,"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":"Productivity; Economics; Quarter (Canadian coin); Capital (architecture); Information technology; Production (economics); Labour economics; Work (physics); Neoclassical economics; Classical economics; Macroeconomics; Political science; Engineering; History; Law","score_opus":0.01432348346012114,"score_gpt":0.211730244912014,"score_spread":0.19740676145189287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030581233","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":[0.46118116,0.06915063,0.0017233045,0.35048804,0.0013177836,0.000015948208,0.0020507837,0.00011943637,0.11395287],"genre_scores_gemma":[0.943889,0.0400116,0.0002728952,0.009972653,0.0013718683,0.0000105718245,0.00047629458,0.000031520187,0.003963694],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995055,0.00008235368,0.000021082129,0.000062603714,0.00015360712,0.0001748808],"domain_scores_gemma":[0.9973346,0.00080168765,0.00071846234,0.00010086019,0.0006131784,0.00043127086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012460717,0.0002623371,0.0003245064,0.001825902,0.0010287502,0.006020707,0.00037661975,0.0020983426,0.0032583505],"category_scores_gemma":[0.007708964,0.00012538748,0.00020520481,0.005318662,0.0024605982,0.007821215,0.0012780762,0.002495652,0.0010095985],"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":[0.0007399267,0.00023201623,0.1376227,0.00081134145,0.00006742579,0.0016539411,0.015043499,0.0020380283,0.0015765883,0.36991385,0.12903468,0.34126607],"study_design_scores_gemma":[0.0000621313,0.00015059131,0.34393403,0.0011778026,0.0000488005,0.0007124432,0.019010702,0.0017792525,0.0018124972,0.16943018,0.4618097,0.00007183587],"about_ca_topic_score_codex":0.015064999,"about_ca_topic_score_gemma":0.013256779,"teacher_disagreement_score":0.015064999,"about_ca_system_score_codex":0.0029912116,"about_ca_system_score_gemma":0.0018979252,"threshold_uncertainty_score":0.029954672},"labels":[],"label_agreement":null},{"id":"W2030964081","doi":"10.1080/1043859042000269098","title":"R&amp;D and productivity growth: Evidence from the UK","year":2005,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Saskatchewan","keywords":"Elasticity (physics); Economics; Productivity; Econometrics; Total factor productivity; Macroeconomics","score_opus":0.06103295029448338,"score_gpt":0.2357263453218557,"score_spread":0.17469339502737233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030964081","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":[0.92827964,0.03813118,0.0005347065,0.0038860536,0.00010806551,0.000025297282,0.006974294,0.000031786054,0.022028873],"genre_scores_gemma":[0.979224,0.015246168,0.000118865915,0.0004167673,0.000065329354,0.000011397386,0.0025975695,0.000007940723,0.0023117242],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873346,0.00026524754,0.00020900265,0.00021789866,0.00034096383,0.00023344833],"domain_scores_gemma":[0.9861807,0.0051571634,0.0057435287,0.0006374682,0.0017145537,0.0005666651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008547666,0.00030501085,0.00043929945,0.0025083632,0.0002508149,0.0012498522,0.0003283294,0.0004791698,0.0047965483],"category_scores_gemma":[0.0083242925,0.00023204146,0.00046257116,0.0056823576,0.0004862626,0.00074961863,0.0012034213,0.00046362024,0.0010504833],"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":[0.00073720695,0.00009573373,0.9155946,0.0012539098,0.0002742735,0.0021058258,0.0013781943,0.0014679683,0.00053328305,0.0021421898,0.009630794,0.06478593],"study_design_scores_gemma":[0.00003325846,0.0000723447,0.98779255,0.00038535058,0.00008464552,0.00027115,0.00050133746,0.00027600687,0.00023950842,0.0001365192,0.010192319,0.000015098988],"about_ca_topic_score_codex":0.112914234,"about_ca_topic_score_gemma":0.11492624,"teacher_disagreement_score":0.112914234,"about_ca_system_score_codex":0.0015934798,"about_ca_system_score_gemma":0.0009121582,"threshold_uncertainty_score":0.22451401},"labels":[],"label_agreement":null},{"id":"W2031403081","doi":"10.1111/j.1467-9361.2007.00381.x","title":"R&amp;D Policies and Endogenous Growth: A Dynamic General Equilibrium Analysis of the Case for Canada*","year":2007,"lang":"en","type":"article","venue":"Review of Development Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Economics; Subsidy; Endogenous growth theory; Productivity; General equilibrium theory; Incentive; Capital (architecture); Monetary economics; International economics; Macroeconomics; Microeconomics; Human capital; Market economy","score_opus":0.039117212440450556,"score_gpt":0.23512727152494103,"score_spread":0.19601005908449048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031403081","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":[0.7017216,0.0056676134,0.03342836,0.022577379,0.00017926538,0.00028731313,0.0036556344,0.00034903237,0.23213379],"genre_scores_gemma":[0.9747669,0.0022078871,0.0037512467,0.00029155298,0.000019965895,0.00003913008,0.00035124566,0.000025203057,0.01854693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931264,0.00010340738,0.000011853662,0.00008298366,0.00011058786,0.00037853865],"domain_scores_gemma":[0.99922836,0.00025319838,0.00007011279,0.000031008833,0.0003027294,0.00011462327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010230917,0.00071779237,0.0013426591,0.0015280959,0.004012187,0.0045162216,0.0018507659,0.0016882722,0.00780251],"category_scores_gemma":[0.0023199045,0.00046165095,0.001395695,0.0022329034,0.0019900913,0.0011657109,0.0011228112,0.001556293,0.00036737832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018743004,0.00011739143,0.008530152,0.0001227535,0.00008307177,0.0009404095,0.00032507617,0.5334375,0.00092053716,0.434824,0.009538583,0.010973109],"study_design_scores_gemma":[0.00032163315,0.000079913676,0.011066654,0.000098182514,0.00020879328,0.0002152326,0.0015852369,0.85167205,0.00061598135,0.10813257,0.0258741,0.00012965877],"about_ca_topic_score_codex":0.9766956,"about_ca_topic_score_gemma":0.96051645,"teacher_disagreement_score":0.95538676,"about_ca_system_score_codex":0.044613265,"about_ca_system_score_gemma":0.029771123,"threshold_uncertainty_score":0.3236934},"labels":[],"label_agreement":null},{"id":"W203397982","doi":"10.2139/ssrn.2500419","title":"Transplanting Economic Development: Don't Pick Winners, Buy Losers!","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Centre for International Governance Innovation; Asia Pacific Foundation of Canada","funders":"","keywords":"Diversification (marketing strategy); Developing country; Industrial organization; Pace; Business; Incentive; Economics; Marketing; Market economy; Commerce; Economic growth","score_opus":0.010536759593042618,"score_gpt":0.18160973131984326,"score_spread":0.17107297172680064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W203397982","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025028117,0.019023264,0.014291511,0.80974346,0.025973381,0.00005906264,0.0002916252,0.0010548788,0.104534715],"genre_scores_gemma":[0.59451497,0.03068451,0.021788934,0.16905993,0.011888363,0.00019172589,0.00036540107,0.001563762,0.16994235],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980385,0.0008292003,0.000056383677,0.00014601051,0.00054343574,0.0003864408],"domain_scores_gemma":[0.99291974,0.0019016643,0.00051681924,0.00081373093,0.0011331065,0.0027150193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057384926,0.0006130858,0.00074936537,0.0008693985,0.0023883225,0.009716369,0.0008346289,0.0030047041,0.030418435],"category_scores_gemma":[0.025744695,0.00028099722,0.0004090308,0.0011569407,0.0070497957,0.01521264,0.004574344,0.0079085715,0.007827242],"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":[0.00023270548,0.0002547853,0.0061831,0.00023976754,0.00006756926,0.00017270121,0.001101143,0.0006992052,0.0007032732,0.13839228,0.50987625,0.3420772],"study_design_scores_gemma":[0.00012114101,0.00022223688,0.0054645776,0.00074697647,0.00008232958,0.00031278614,0.004576728,0.0013077166,0.0013265683,0.39898214,0.5867648,0.000091889626],"about_ca_topic_score_codex":0.001985664,"about_ca_topic_score_gemma":0.0043022735,"teacher_disagreement_score":0.030418435,"about_ca_system_score_codex":0.0018506215,"about_ca_system_score_gemma":0.0035760899,"threshold_uncertainty_score":0.10175979},"labels":[],"label_agreement":null},{"id":"W2035912305","doi":"10.1007/s11187-010-9307-2","title":"Growth and entrepreneurship","year":2011,"lang":"en","type":"article","venue":"Small Business Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":411,"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 Ottawa Mental Health Centre","funders":"Marcus och Amalia Wallenbergs minnesfond","keywords":"Entrepreneurship; Commercialization; Knowledge spillover; Spillover effect; Endogenous growth theory; Human capital; Mechanism (biology); Empirical evidence; Panel data; Business; Economics; Industrial organization; Knowledge creation; Economic geography; Marketing; Microeconomics; Economic growth; Econometrics","score_opus":0.06675884466813982,"score_gpt":0.17583860456372907,"score_spread":0.10907975989558925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035912305","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":[0.29618838,0.058291703,0.0069093043,0.088012666,0.0013388768,0.00003474667,0.00067604857,0.00009906055,0.5484492],"genre_scores_gemma":[0.93649626,0.012139351,0.00042026315,0.0010163344,0.00085490494,0.000014159676,0.00013767714,0.000013678347,0.048907243],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99983454,0.00006443581,0.000005930733,0.000032620865,0.000030236713,0.000032181408],"domain_scores_gemma":[0.9986186,0.0006923273,0.00020365269,0.00008674542,0.0001552633,0.00024344414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004983311,0.00021540446,0.00026676335,0.00078292115,0.00044283413,0.0025595473,0.00015746854,0.0007717012,0.009440619],"category_scores_gemma":[0.0022222763,0.00006179116,0.00011885052,0.0011382537,0.0015406954,0.0020527763,0.0007247463,0.0009369074,0.0012584728],"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":[0.00006150195,0.00013771535,0.017561436,0.00010460468,0.000028508393,0.00020694273,0.0010016487,0.00093523803,0.00031311857,0.8663264,0.023064692,0.090258226],"study_design_scores_gemma":[0.000011355619,0.000033328917,0.02239741,0.00012963472,0.000014137594,0.00019877733,0.0013535401,0.0009915105,0.00023052175,0.8800333,0.09459847,0.00000796347],"about_ca_topic_score_codex":0.0009844088,"about_ca_topic_score_gemma":0.0012978882,"teacher_disagreement_score":0.009440619,"about_ca_system_score_codex":0.0004773426,"about_ca_system_score_gemma":0.0005056879,"threshold_uncertainty_score":0.031582057},"labels":[],"label_agreement":null},{"id":"W2036142968","doi":"10.2139/ssrn.1329559","title":"How Much Does Immigration Boost Innovation?","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":201,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Immigration; Per capita; Demographic economics; Panel data; Population; State (computer science); Labour economics; Economics; Geography; Demography; Sociology; Mathematics; Econometrics","score_opus":0.011358118193085945,"score_gpt":0.20011003102790453,"score_spread":0.1887519128348186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036142968","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":[0.8461036,0.009405545,0.0018943128,0.040731087,0.0016679476,0.000038716902,0.0004615323,0.00008470488,0.09961253],"genre_scores_gemma":[0.9886361,0.0027948988,0.0004049871,0.0023512302,0.0009902103,0.000010236451,0.00006970817,0.000012688011,0.0047298535],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935,0.00024265714,0.000027696715,0.000062351435,0.0000917334,0.00022558763],"domain_scores_gemma":[0.99404067,0.0033722762,0.000724357,0.00038425231,0.00043689445,0.0010415447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016463789,0.00023906332,0.00056114333,0.00056757743,0.00063018844,0.0018091713,0.0003044481,0.0012367117,0.01821956],"category_scores_gemma":[0.008978646,0.00012671191,0.0006624559,0.0006139103,0.0011949689,0.0019697093,0.0012440183,0.00080538454,0.0014287437],"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":[0.0046034213,0.0023461513,0.27526894,0.0017819171,0.0013335053,0.0008639572,0.0015212784,0.00522451,0.015125884,0.09674512,0.02153287,0.5736525],"study_design_scores_gemma":[0.0010055259,0.003187878,0.6104477,0.0011379212,0.0023999035,0.0010212184,0.007896355,0.005670523,0.010368686,0.2586659,0.09809606,0.0001023271],"about_ca_topic_score_codex":0.001373157,"about_ca_topic_score_gemma":0.0022199578,"teacher_disagreement_score":0.01821956,"about_ca_system_score_codex":0.00056424056,"about_ca_system_score_gemma":0.0008203701,"threshold_uncertainty_score":0.060950518},"labels":[],"label_agreement":null},{"id":"W2038066968","doi":"10.1016/j.jmoneco.2009.03.006","title":"Measuring our ignorance, one book at a time: New indicators of technological change, 1909–1949","year":2009,"lang":"en","type":"article","venue":"Journal of Monetary Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":42,"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":"Technological change; Slowdown; Economics; Great Depression; Productivity; Ignorance; Technical change; Macroeconomics; Classical economics; Political science; Economic growth; Law","score_opus":0.05522223148134678,"score_gpt":0.1976074386245071,"score_spread":0.14238520714316033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038066968","genre_codex":"review","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":[0.04219972,0.68616873,0.014351794,0.107187934,0.015446512,0.00005567063,0.007135385,0.00019366377,0.12726055],"genre_scores_gemma":[0.4388992,0.44202617,0.02629908,0.010725136,0.011893911,0.00012524865,0.0029941318,0.00021894454,0.06681827],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999094,0.00024281003,0.0001264055,0.00009823987,0.0003908191,0.00004786792],"domain_scores_gemma":[0.9951348,0.0028047762,0.0005420366,0.00022608813,0.0011473689,0.00014490615],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0016803241,0.00053248525,0.0004650386,0.003117211,0.0005714442,0.0026749657,0.0004132129,0.00090102386,0.0025989297],"category_scores_gemma":[0.010314038,0.000314053,0.00021668615,0.0066054603,0.0020246473,0.0051225214,0.000944935,0.0019110907,0.0007700623],"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":[0.00009918403,0.000052102725,0.023602383,0.000851325,0.00010962768,0.000092478156,0.0038199811,0.0018671902,0.0006282221,0.08413519,0.35668963,0.5280526],"study_design_scores_gemma":[0.000016843742,0.00006820415,0.062618755,0.0018169353,0.000070091024,0.00038830747,0.002709638,0.0010922763,0.0013614349,0.05724153,0.8725034,0.00011256164],"about_ca_topic_score_codex":0.010164283,"about_ca_topic_score_gemma":0.019908123,"teacher_disagreement_score":0.9968828,"about_ca_system_score_codex":0.0017702382,"about_ca_system_score_gemma":0.0017339926,"threshold_uncertainty_score":0.020210266},"labels":[],"label_agreement":null},{"id":"W2038805087","doi":"10.1111/j.0008-4085.2004.00263.x","title":"Total factor productivity and the measurement of technological change","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":139,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Total factor productivity; Counterfactual thinking; Technological change; Economics; Econometrics; Technical change; Productivity; Imperfect; Limit (mathematics); Macroeconomics; Mathematics","score_opus":0.20726187865748288,"score_gpt":0.17328966054788156,"score_spread":0.033972218109601326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038805087","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":[0.5905828,0.027670685,0.23722613,0.003222603,0.000744211,0.0001552212,0.012389982,0.00056595996,0.12744246],"genre_scores_gemma":[0.9766331,0.0038301086,0.014280364,0.00007391188,0.0001628744,0.000058100413,0.0010579833,0.000032294694,0.003871282],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965323,0.0010611383,0.00026197024,0.0005711883,0.0014023894,0.00017100445],"domain_scores_gemma":[0.98819613,0.0053684134,0.002423239,0.0015419623,0.0021276025,0.000342722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039039706,0.0005779243,0.0005337704,0.0051159086,0.00031148025,0.0026347558,0.0005728069,0.000544406,0.0042162165],"category_scores_gemma":[0.02266027,0.00019150195,0.00054496154,0.010411944,0.002138955,0.0024242983,0.0010650028,0.0007162993,0.0008067187],"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":[0.00069946586,0.00013321344,0.18049856,0.001782015,0.0010359996,0.00031634947,0.0032762317,0.048472725,0.008391177,0.34372962,0.010969046,0.40069562],"study_design_scores_gemma":[0.00007084146,0.00051659334,0.35370436,0.0007511459,0.00044101657,0.0007988315,0.0021535256,0.042576548,0.012058011,0.50517815,0.08152646,0.0002244449],"about_ca_topic_score_codex":0.010081598,"about_ca_topic_score_gemma":0.0044793324,"teacher_disagreement_score":0.010081598,"about_ca_system_score_codex":0.0022620158,"about_ca_system_score_gemma":0.0009492854,"threshold_uncertainty_score":0.020646393},"labels":[],"label_agreement":null},{"id":"W2040992311","doi":"10.1111/j.1467-8462.2004.00309.x","title":"Potential Growth and Inflation: Estimates for Australia, the United States and Canada","year":2004,"lang":"en","type":"article","venue":"Australian Economic Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Potential output; Inflation (cosmology); Economics; Monetary policy; Monetary economics","score_opus":0.03989690622230092,"score_gpt":0.24969138060331375,"score_spread":0.20979447438101284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040992311","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":[0.88609374,0.012124182,0.003059642,0.0017331135,0.000057825124,0.00009836601,0.03277435,0.00016524216,0.06389354],"genre_scores_gemma":[0.97262514,0.005558616,0.0021779242,0.00007569265,0.000021083211,0.000038204078,0.013570246,0.00002135237,0.005911684],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994017,0.000049819115,0.000034185003,0.00004235996,0.00037198406,0.00009996283],"domain_scores_gemma":[0.997191,0.00018845555,0.00021260766,0.000044842785,0.0021448229,0.00021816655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077346596,0.00026585945,0.0002939381,0.0035155667,0.0007851828,0.0010147498,0.0002700692,0.00014268157,0.0007811215],"category_scores_gemma":[0.002656193,0.00014174845,0.00037127055,0.007163029,0.00022658793,0.00037959876,0.0006943138,0.00051381,0.00014290622],"study_design_candidate":"simulation_or_modeling","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":[0.00022794034,0.0000538596,0.77832884,0.0005195015,0.00048592297,0.00042443763,0.002892937,0.030860951,0.0006498303,0.019689003,0.03989495,0.12597194],"study_design_scores_gemma":[0.000011174472,0.000017540422,0.95760036,0.00008964493,0.00008547839,0.00009858235,0.0009025472,0.011480961,0.00030061518,0.0009653547,0.028411666,0.00003609541],"about_ca_topic_score_codex":0.9802706,"about_ca_topic_score_gemma":0.9780897,"teacher_disagreement_score":0.019729376,"about_ca_system_score_codex":0.008572102,"about_ca_system_score_gemma":0.009378904,"threshold_uncertainty_score":0.06219524},"labels":[],"label_agreement":null},{"id":"W2041328059","doi":"10.3390/su3030541","title":"Sustainable Food Production Systems and Food Security: Economic and Environmental Imperatives in Yam Cultivation in Trelawny, Jamaica","year":2011,"lang":"en","type":"article","venue":"Sustainability","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Subsistence agriculture; Sustainability; Food security; Livelihood; Business; Agriculture; Production (economics); Food systems; Consumption (sociology); Agricultural economics; Dioscorea; Geography; Natural resource economics; Agroforestry; Economics; Ecology; Biology","score_opus":0.013545849959069264,"score_gpt":0.18921797777428043,"score_spread":0.17567212781521116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041328059","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":[0.9799479,0.0013631482,0.0004844965,0.0061567426,0.000012055741,0.000011574052,0.00020436101,0.0000048044053,0.011814971],"genre_scores_gemma":[0.99800915,0.0007373261,0.000078318335,0.000063237974,0.000012593481,0.000002859244,0.000050550014,8.9645835e-7,0.0010450295],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998659,0.000035509507,0.000004392332,0.000015529875,0.00001350071,0.00006521669],"domain_scores_gemma":[0.9996176,0.00014799192,0.00010562333,0.000007717327,0.000032477034,0.00008859718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022819315,0.0001702379,0.00017406435,0.00043539956,0.0009330786,0.0019534207,0.00032451662,0.00067680934,0.0020922737],"category_scores_gemma":[0.00069715385,0.00011443917,0.00014155381,0.0011655755,0.0013524694,0.000892949,0.0008518573,0.0008382386,0.00007120678],"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":[0.00045163214,0.0006517743,0.5667393,0.00043269614,0.00015427415,0.02299118,0.0037856733,0.10022673,0.0049085747,0.24272914,0.010043005,0.046885993],"study_design_scores_gemma":[0.00016042328,0.0001957214,0.75296104,0.00037195862,0.000082123166,0.0013388824,0.026044741,0.09993604,0.0012439879,0.09510456,0.022474216,0.0000863946],"about_ca_topic_score_codex":0.14928181,"about_ca_topic_score_gemma":0.21642712,"teacher_disagreement_score":0.14928181,"about_ca_system_score_codex":0.003725103,"about_ca_system_score_gemma":0.0015257623,"threshold_uncertainty_score":0.29682577},"labels":[],"label_agreement":null},{"id":"W2041682761","doi":"10.2139/ssrn.830624","title":"On the Mechanics of Trade-Induced Structural Transformation","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Bureau de Coopération Interuniversitaire; Université du Québec à Montréal; Université Laval","funders":"","keywords":"Transformation (genetics); Structural mechanics; Economics; Mechanics; Physics; Engineering; Structural engineering; Finite element method; Chemistry","score_opus":0.01775209493280878,"score_gpt":0.20261704556483173,"score_spread":0.18486495063202296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041682761","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":[0.3269329,0.0021539195,0.40312234,0.014257935,0.0011409468,0.0001923097,0.00058184256,0.0006817756,0.25093606],"genre_scores_gemma":[0.9693451,0.0008385793,0.011687683,0.00056470337,0.00043299538,0.0001191653,0.00014193993,0.00015970918,0.016710121],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995739,0.00013558802,0.000019590318,0.00008090766,0.000103498656,0.0000864762],"domain_scores_gemma":[0.99791926,0.0010161295,0.00026664726,0.00040126606,0.00018256168,0.00021421582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010418722,0.0003447896,0.0007291388,0.0010398265,0.0015342019,0.002931581,0.0012452358,0.0021078475,0.021151299],"category_scores_gemma":[0.005569605,0.00043079586,0.0009909996,0.0006093599,0.0033128145,0.0043480014,0.002128423,0.0022517443,0.0015364008],"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":[0.000010909317,0.000011344088,0.00008161165,0.000010816969,0.0000034350219,0.000044441487,0.00003966843,0.0044936864,0.00028292148,0.99243987,0.0009618835,0.0016193108],"study_design_scores_gemma":[0.000008865058,0.0000071755294,0.00009540867,0.000004181902,0.000001389759,0.000032787695,0.000025153371,0.021910286,0.00009782355,0.9773097,0.0005021021,0.000005161385],"about_ca_topic_score_codex":0.000857298,"about_ca_topic_score_gemma":0.0007029407,"teacher_disagreement_score":0.021151299,"about_ca_system_score_codex":0.0011581525,"about_ca_system_score_gemma":0.0009518793,"threshold_uncertainty_score":0.070758164},"labels":[],"label_agreement":null},{"id":"W2042486733","doi":"10.1016/j.jmacro.2007.07.010","title":"Per-capita income gaps across US states and Canadian provinces","year":2007,"lang":"en","type":"article","venue":"Journal of Macroeconomics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Per capita; Economics; Per capita income; Demographic economics; Agricultural economics; Demography; Population","score_opus":0.012154970854827439,"score_gpt":0.2224577533737276,"score_spread":0.21030278251890017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042486733","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":[0.9292567,0.0031206878,0.00016438596,0.0020656693,0.00004532602,0.00003488426,0.042841878,0.00006325241,0.022407329],"genre_scores_gemma":[0.9887045,0.0009533491,0.00012915529,0.000113828035,0.000008639358,0.000011099939,0.0071649444,0.000013069973,0.002901501],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99798477,0.000092938324,0.0001413775,0.00023256162,0.0005324356,0.0010160123],"domain_scores_gemma":[0.99085534,0.0007454152,0.0010762747,0.00026572173,0.006029212,0.0010281119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016528717,0.00035204436,0.0008586146,0.0060267914,0.0037655318,0.0029967926,0.0018582296,0.0005484599,0.006287885],"category_scores_gemma":[0.007007003,0.00045044758,0.0010429696,0.017298685,0.0010140395,0.0012433408,0.001788191,0.0007650388,0.000442566],"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":[0.0004054911,0.0000443998,0.95140743,0.00017760953,0.00022737391,0.00018428707,0.0032239298,0.002071271,0.00020904119,0.006849028,0.01795881,0.01724122],"study_design_scores_gemma":[0.0000080200725,0.0000057907014,0.99202067,0.000055169672,0.000042531632,0.00002947865,0.0026504586,0.0006692241,0.00008161296,0.00019438847,0.0042206002,0.00002208354],"about_ca_topic_score_codex":0.99839574,"about_ca_topic_score_gemma":0.9992673,"teacher_disagreement_score":0.04274799,"about_ca_system_score_codex":0.04274799,"about_ca_system_score_gemma":0.066932835,"threshold_uncertainty_score":0.3101598},"labels":[],"label_agreement":null},{"id":"W2042608500","doi":"10.1287/mnsc.2014.2064","title":"A Theory of Market Pioneers, Dynamic Capabilities, and Industry Evolution","year":2015,"lang":"en","type":"article","venue":"Management Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Dynamic capabilities; Competition (biology); Industrial organization; Economics; Marginal cost; Complement (music); Competitive advantage; Microeconomics; Business; Management","score_opus":0.023061799346896512,"score_gpt":0.20382928451813462,"score_spread":0.1807674851712381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042608500","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":[0.23708835,0.006394627,0.52587056,0.010212383,0.00020711467,0.00022967171,0.00079986826,0.00041041066,0.21878704],"genre_scores_gemma":[0.9422351,0.0041346103,0.026293237,0.0005106198,0.0002924925,0.00026330014,0.00022194795,0.00003867961,0.026009953],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996265,0.00013579406,0.000011943799,0.00006708127,0.00005631608,0.00010228186],"domain_scores_gemma":[0.99758923,0.0014140856,0.00042855326,0.000104804785,0.00016264172,0.0003005938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011210131,0.0006482843,0.00080944307,0.0019014196,0.0010803354,0.0024019456,0.0013278396,0.0023825488,0.011338091],"category_scores_gemma":[0.0044518504,0.0003883022,0.001150214,0.0018690554,0.0026729794,0.0045193075,0.001092319,0.0016242161,0.001079702],"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":[0.000024868816,0.00005327844,0.0017685554,0.00008556744,0.000034053613,0.0002148805,0.00020122669,0.08614314,0.000481718,0.8987057,0.002429162,0.009857777],"study_design_scores_gemma":[0.00006184596,0.00009365601,0.0014005816,0.000046831912,0.000031942836,0.0002119094,0.00016189193,0.20218173,0.00016151194,0.7857545,0.009863917,0.0000297537],"about_ca_topic_score_codex":0.0041728807,"about_ca_topic_score_gemma":0.0026576398,"teacher_disagreement_score":0.011338091,"about_ca_system_score_codex":0.001972348,"about_ca_system_score_gemma":0.0012542915,"threshold_uncertainty_score":0.037929654},"labels":[],"label_agreement":null},{"id":"W2042864854","doi":"10.2307/2672514","title":"Socioeconomic Renovation in Viet Nam: The Origin, Evolution, and Impact of Doi Moi","year":2001,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Viet nam; Liberalization; Socioeconomic status; Vietnamese; Economic growth; Key (lock); Political science; Politics; Development economics; Business; Geography; Economy; Economics; Sociology; Demography; Computer security; Population","score_opus":0.019634139105942663,"score_gpt":0.2268934107141679,"score_spread":0.20725927160822524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042864854","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":[0.95479256,0.0071050776,0.000118867094,0.00501011,0.0001129681,0.000020051551,0.00062193105,0.000010704549,0.032207716],"genre_scores_gemma":[0.99281764,0.003952212,0.00008384554,0.00016395429,0.000026608208,0.000010411948,0.0001459073,0.0000060219513,0.002793358],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99971336,0.000091981674,0.0000097380525,0.000019907464,0.000027963451,0.00013692245],"domain_scores_gemma":[0.9993093,0.00010214297,0.00021297907,0.000021587184,0.00010112979,0.00025283833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005400502,0.00017770853,0.00016350445,0.0010169878,0.0017009467,0.0023761063,0.00035246732,0.00034487832,0.0036431267],"category_scores_gemma":[0.001250126,0.00012991519,0.00013107604,0.0026726744,0.0011408579,0.001018257,0.0015950174,0.00065654615,0.00016470227],"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":[0.00017862055,0.00020159008,0.6908243,0.00046354116,0.000109236775,0.003803521,0.084655315,0.0010240108,0.00092510745,0.06549183,0.009960194,0.1423627],"study_design_scores_gemma":[0.000005868118,0.00007779901,0.8328822,0.00032896685,0.00001729915,0.000665455,0.07386854,0.00051346864,0.00037655947,0.0028828578,0.08836138,0.000019550902],"about_ca_topic_score_codex":0.07886928,"about_ca_topic_score_gemma":0.1305096,"teacher_disagreement_score":0.07886928,"about_ca_system_score_codex":0.0038914885,"about_ca_system_score_gemma":0.002741849,"threshold_uncertainty_score":0.15682042},"labels":[],"label_agreement":null},{"id":"W2043028891","doi":"10.1016/j.red.2009.02.002","title":"Relative underperformance Alla Turca","year":2009,"lang":"it","type":"article","venue":"Review of Economic Dynamics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"York University","funders":"","keywords":"Economics; Monetary economics; Econometrics","score_opus":0.02078836514740072,"score_gpt":0.23969798456528613,"score_spread":0.2189096194178854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043028891","genre_codex":"review","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":[0.031196056,0.43480083,0.0018784468,0.41325557,0.020891206,0.000027289409,0.0013106957,0.00032697967,0.096312925],"genre_scores_gemma":[0.39557314,0.4366971,0.0017101349,0.053309083,0.035732634,0.00006839737,0.0017642152,0.0006004421,0.0745448],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972228,0.00072901574,0.00015632433,0.00038196126,0.0011077314,0.00040225263],"domain_scores_gemma":[0.9865015,0.002956982,0.0012686555,0.0005988414,0.007177347,0.0014966403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004589605,0.0004744362,0.00089372066,0.0028330726,0.0011100904,0.005094902,0.0008228257,0.0014505625,0.016484596],"category_scores_gemma":[0.02199303,0.00017304579,0.00024319923,0.002816119,0.0016460591,0.0025849554,0.0019968485,0.0020555768,0.0065351157],"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":[0.00026319042,0.00005259919,0.010365654,0.00061767845,0.00007602297,0.00013831991,0.00030483285,0.00047284047,0.00032676233,0.030962585,0.5043238,0.45209575],"study_design_scores_gemma":[0.000034110817,0.00013789923,0.037128516,0.0016889543,0.00008384505,0.00062828814,0.00090343656,0.00043278377,0.0005005249,0.0153162135,0.94309825,0.00004717863],"about_ca_topic_score_codex":0.007094111,"about_ca_topic_score_gemma":0.007468765,"teacher_disagreement_score":0.016484596,"about_ca_system_score_codex":0.0025665578,"about_ca_system_score_gemma":0.004968993,"threshold_uncertainty_score":0.055146456},"labels":[],"label_agreement":null},{"id":"W2043242901","doi":"10.1257/jel.38.4.926","title":"A Review of O'Rourke and Williamson's <i>Globalization and History: The Evolution of a Nineteenth Century Atlantic Economy</i>","year":2000,"lang":"en","type":"review","venue":"Journal of Economic Literature","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Globalization; Economics; Convergence (economics); Industrial Revolution; Technological change; Economy; Falling (accident); Economic history; Economic geography; Market economy; Political science; Macroeconomics; Law","score_opus":0.01803685855527571,"score_gpt":0.22295494540489347,"score_spread":0.20491808684961776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043242901","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011452155,0.9945766,0.000091983544,0.0015635963,0.0004902351,0.000003781156,0.000022352064,0.0000031040151,0.0031338565],"genre_scores_gemma":[0.0005643609,0.99723035,0.000090557915,0.00081087847,0.0003368391,0.000004796721,0.000023666127,0.0000013088093,0.0009373325],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996443,0.00006838129,0.000045056287,0.000053221585,0.0001596018,0.000029460394],"domain_scores_gemma":[0.9988558,0.0005940101,0.00011438478,0.000020007847,0.00035417912,0.00006160207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007139824,0.0007510397,0.0012303442,0.0038175646,0.000612573,0.0020290434,0.00079735805,0.0013861036,0.004655866],"category_scores_gemma":[0.0024504296,0.00035542896,0.00030618673,0.009317095,0.0009015194,0.0032630807,0.0008423329,0.0015027885,0.0029191787],"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":[0.00004556934,0.000061412364,0.000616577,0.016568687,0.0000644668,0.0002098806,0.00059508946,0.00023735958,0.00040609433,0.015867546,0.27278912,0.69253814],"study_design_scores_gemma":[0.0000035956432,0.000018504983,0.0013974931,0.0062088473,0.000024652765,0.00028275038,0.00019006817,0.000017888871,0.000055921737,0.0023063212,0.9894833,0.000010640766],"about_ca_topic_score_codex":0.0061412137,"about_ca_topic_score_gemma":0.016125932,"teacher_disagreement_score":0.0061412137,"about_ca_system_score_codex":0.001432624,"about_ca_system_score_gemma":0.0033560824,"threshold_uncertainty_score":0.015575409},"labels":[],"label_agreement":null},{"id":"W2044512758","doi":"10.1215/00182702-2009-019","title":"Trevor Swan And The Neoclassical Growth Model","year":2008,"lang":"en","type":"article","venue":"History of Political Economy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Brock University","funders":"","keywords":"Economics; Balance of payments; Growth model; Publication; Keynesian economics; History; Economic history; Macroeconomics; Political science; Law","score_opus":0.042204907370607087,"score_gpt":0.18534855620301188,"score_spread":0.1431436488324048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044512758","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":[0.02574691,0.054537956,0.082709424,0.14040715,0.0027539257,0.00006176889,0.00069047743,0.00020484965,0.69288754],"genre_scores_gemma":[0.6647804,0.070590384,0.031723168,0.010524016,0.0023272075,0.00023466985,0.00043803127,0.00027119037,0.21911089],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99956626,0.00016563441,0.000015707208,0.00007248242,0.00013360666,0.000046368048],"domain_scores_gemma":[0.9992507,0.00042184998,0.000048641974,0.00005978497,0.00015067699,0.00006836265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010324671,0.00058704225,0.000468433,0.0013868278,0.0012407321,0.0026779543,0.0006559066,0.0015431304,0.0053415457],"category_scores_gemma":[0.003595037,0.00030708013,0.00053777103,0.0019921863,0.0038774514,0.00534553,0.0012131938,0.0032436673,0.0012854915],"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":[0.000004184681,0.000004805243,0.000046195426,0.000014398356,0.0000018598193,0.000029101571,0.00007323129,0.0019686338,0.000022277121,0.98684746,0.00748362,0.003504202],"study_design_scores_gemma":[0.000002536009,0.000002274808,0.0000476417,0.00003455377,0.0000013369322,0.0000146033035,0.000038368755,0.0022056873,0.000028467211,0.9640444,0.033575587,0.000004537494],"about_ca_topic_score_codex":0.014500478,"about_ca_topic_score_gemma":0.0091851195,"teacher_disagreement_score":0.014500478,"about_ca_system_score_codex":0.0047992943,"about_ca_system_score_gemma":0.0027722467,"threshold_uncertainty_score":0.03482145},"labels":[],"label_agreement":null},{"id":"W2044926856","doi":"10.2139/ssrn.911204","title":"The Importance of Being Mature: The Effect of Demographic Maturation on Global Per-Capita Income","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":56,"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":"Economics; Per capita; Demographic economics; Per capita income; Demography; Population","score_opus":0.0036676689359816748,"score_gpt":0.188159468136697,"score_spread":0.18449179920071535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044926856","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":[0.9911596,0.0008523059,0.00018004459,0.0017785387,0.000025110745,0.0000061087057,0.00057449995,0.000008507361,0.005415189],"genre_scores_gemma":[0.9989666,0.00027999023,0.00002687715,0.00004782062,0.000026487753,0.0000016948417,0.00013597828,0.0000035464964,0.00051104993],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996382,0.00011384933,0.000018851408,0.000047094443,0.000029361232,0.00015267727],"domain_scores_gemma":[0.990855,0.0031374537,0.0027904771,0.0002882921,0.00051976973,0.0024090807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011642162,0.00017877364,0.00033947345,0.0004144036,0.00043357964,0.0012618612,0.00033693993,0.00060332316,0.0077585904],"category_scores_gemma":[0.0074618724,0.00012441301,0.0005132112,0.0008597768,0.0009899867,0.0012285725,0.0012280295,0.0014822516,0.0005574336],"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":[0.0005361917,0.00009418452,0.98097205,0.00005023241,0.000121721314,0.00038005225,0.00060678076,0.0017686473,0.00044907603,0.0033367502,0.00085766986,0.010826593],"study_design_scores_gemma":[0.0000083002615,0.000104780585,0.99661356,0.000012653792,0.000060900435,0.00012006064,0.00067233277,0.0006093686,0.00015899961,0.00084907457,0.0007818704,0.0000081451235],"about_ca_topic_score_codex":0.010868509,"about_ca_topic_score_gemma":0.012969623,"teacher_disagreement_score":0.010868509,"about_ca_system_score_codex":0.00037964902,"about_ca_system_score_gemma":0.0005770722,"threshold_uncertainty_score":0.025955081},"labels":[],"label_agreement":null},{"id":"W2046668686","doi":"10.1111/j.1744-7976.2000.tb00277.x","title":"Modeling and Measuring Productivity in the Agri‐Food Sector: Trends, Causes and Effects","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Humanities; Political science; Food sector; Welfare economics; Economics; Geography; Philosophy; Agriculture; Economic growth","score_opus":0.03601513857211668,"score_gpt":0.15306009610211946,"score_spread":0.11704495753000277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046668686","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":[0.6237099,0.044539902,0.2713532,0.0130221285,0.000255842,0.00035237134,0.004415015,0.0008071331,0.041544516],"genre_scores_gemma":[0.90268284,0.035763748,0.055470757,0.00025493224,0.0001429762,0.00022207336,0.0017057201,0.000112981026,0.003644006],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99744093,0.0009306214,0.00016639278,0.00043698537,0.0008343253,0.00019069423],"domain_scores_gemma":[0.9909146,0.0062037343,0.0012279068,0.0005419207,0.0009992402,0.0001126343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049483874,0.000982643,0.00061486475,0.002827001,0.00043824167,0.0037485498,0.0012549052,0.0007941766,0.0010186334],"category_scores_gemma":[0.014126152,0.0004730643,0.00095562125,0.009558172,0.0012683632,0.0034832524,0.0014853191,0.0011797644,0.0003141563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001326524,0.00021253826,0.4037592,0.0012844362,0.0003808207,0.00013502412,0.0016868273,0.29490185,0.0014349994,0.06041497,0.0023730297,0.23328361],"study_design_scores_gemma":[0.000036299134,0.0005227941,0.2897307,0.0013233946,0.0004435838,0.00022672677,0.005158201,0.55103415,0.0051828334,0.09485105,0.051306225,0.00018403764],"about_ca_topic_score_codex":0.08831964,"about_ca_topic_score_gemma":0.065816686,"teacher_disagreement_score":0.91168034,"about_ca_system_score_codex":0.0047572944,"about_ca_system_score_gemma":0.003692041,"threshold_uncertainty_score":0.17561108},"labels":[],"label_agreement":null},{"id":"W2047964077","doi":"10.1080/14041040701390773","title":"The Future of Raw Material Prices and the World Economy","year":2007,"lang":"en","type":"article","venue":"Raw materials report/Minerals & energy./Minerals & energy","topic":"Economic Growth and Productivity","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":"Raw material; Economics; Quarter (Canadian coin); World economy; Monetary economics; Economy; Geography","score_opus":0.009525085953702899,"score_gpt":0.20524772402051086,"score_spread":0.19572263806680795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047964077","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17105226,0.18681286,0.021629203,0.21071477,0.0033519175,0.00003142995,0.0025686699,0.00018839363,0.40365058],"genre_scores_gemma":[0.8894239,0.08370744,0.0050781127,0.0030837904,0.0016946562,0.000026393864,0.0005320517,0.00003532064,0.0164184],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996424,0.00013325072,0.00001321992,0.0000360164,0.0001333148,0.000041818348],"domain_scores_gemma":[0.99919516,0.0002301806,0.00023312455,0.000039050603,0.00021504004,0.00008754535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071598566,0.00031705416,0.00024512302,0.0006855848,0.0007592501,0.0039033901,0.00033944915,0.0019367224,0.00608554],"category_scores_gemma":[0.00228371,0.00014138641,0.00022786226,0.0020380712,0.0015383661,0.0064527323,0.0007656008,0.00179749,0.0009833341],"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":[0.00014538389,0.00009273776,0.007213748,0.00022723408,0.00002508316,0.00045881252,0.00036575765,0.006721843,0.00061402255,0.82403123,0.037504572,0.12259962],"study_design_scores_gemma":[0.0000077924,0.00005864886,0.010520794,0.00025168466,0.000010033205,0.00028618862,0.0010173874,0.0054305517,0.0002854366,0.76247543,0.21960175,0.000054256227],"about_ca_topic_score_codex":0.003383592,"about_ca_topic_score_gemma":0.0036359557,"teacher_disagreement_score":0.00608554,"about_ca_system_score_codex":0.0019849138,"about_ca_system_score_gemma":0.0012823695,"threshold_uncertainty_score":0.020358205},"labels":[],"label_agreement":null},{"id":"W2048217319","doi":"10.7202/007261ar","title":"Les défis d’une nouvelle théorie de la croissance","year":2002,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Philosophy","score_opus":0.044875476591544776,"score_gpt":0.22713329959352516,"score_spread":0.18225782300198037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048217319","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028376453,0.014954396,0.15739152,0.43194097,0.0046305773,0.00009227648,0.0007130183,0.00025798334,0.3616429],"genre_scores_gemma":[0.8257146,0.0135529945,0.048165116,0.028705154,0.012539344,0.00050042797,0.00042957056,0.0003767366,0.070016004],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99260545,0.0032121774,0.00046618027,0.0013345064,0.0018850184,0.0004967357],"domain_scores_gemma":[0.9757422,0.015370954,0.0013559109,0.0032478287,0.0035944823,0.00068866584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013326232,0.00093044684,0.0013189103,0.0037074324,0.0034243588,0.013381337,0.0031266862,0.008454916,0.010446417],"category_scores_gemma":[0.046133805,0.00090320146,0.0011111266,0.0034701498,0.03246929,0.023026524,0.0046591638,0.012144996,0.0027360532],"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":[0.0000064017254,0.000004799264,0.0000809848,0.000011511694,0.0000027799992,0.000010218218,0.00029773574,0.00011381458,0.00001151691,0.9963612,0.0015011525,0.0015979434],"study_design_scores_gemma":[0.000010860087,0.0000032068083,0.00011849474,0.000046005356,0.000003778075,0.000036537,0.00021063522,0.00069501775,0.000053285323,0.9791723,0.019642629,0.0000073332158],"about_ca_topic_score_codex":0.010293158,"about_ca_topic_score_gemma":0.005034687,"teacher_disagreement_score":0.013381337,"about_ca_system_score_codex":0.0057396106,"about_ca_system_score_gemma":0.0040656077,"threshold_uncertainty_score":0.07047665},"labels":[],"label_agreement":null},{"id":"W2049661871","doi":"10.1023/a:1011347816503","title":"Measures of Human Capital and Nonlinearities in Economic Growth","year":2001,"lang":"en","type":"article","venue":"Journal of Economic Growth","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":224,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"University of Cyprus; University of Victoria","keywords":"Human capital; Economics; Educational attainment; Estimation; Demographic economics; Econometrics; Yield (engineering); Labour economics; Economic growth","score_opus":0.041184687996095995,"score_gpt":0.2293802847118853,"score_spread":0.18819559671578928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049661871","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":[0.96408635,0.0017768103,0.022449031,0.0017386517,0.000048845486,0.000025927247,0.0009463308,0.000038493505,0.008889514],"genre_scores_gemma":[0.9980269,0.00023200567,0.0011243016,0.00001977636,0.000021645888,0.000011394578,0.0001081306,0.000002960814,0.00045278232],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992487,0.00042707013,0.0000648001,0.0000815944,0.00012060331,0.000057231668],"domain_scores_gemma":[0.9781064,0.015091188,0.004186471,0.0011271345,0.0007993396,0.0006894965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028763658,0.00033622343,0.00027628534,0.0017204719,0.00035104717,0.0020436447,0.00041870528,0.0006297403,0.0019076903],"category_scores_gemma":[0.025720876,0.00017887577,0.00025456212,0.0030179925,0.0016177424,0.0038577633,0.0010938894,0.0008928159,0.0001601987],"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":[0.0005065832,0.00027793896,0.57079035,0.00018153747,0.00056258467,0.0002240391,0.0018396092,0.103886314,0.00081628194,0.25666818,0.002372931,0.06187364],"study_design_scores_gemma":[0.000027174527,0.0001899752,0.44542584,0.00010631782,0.00008787216,0.0002623202,0.0016122055,0.10051428,0.0008545611,0.44733894,0.0034994457,0.000081167076],"about_ca_topic_score_codex":0.0024894406,"about_ca_topic_score_gemma":0.002623717,"teacher_disagreement_score":0.0028763658,"about_ca_system_score_codex":0.0011977815,"about_ca_system_score_gemma":0.0004551367,"threshold_uncertainty_score":0.01521188},"labels":[],"label_agreement":null},{"id":"W2049700638","doi":"","title":"Survey of Inflation Expectations: Results report first quarter 2005","year":2005,"lang":"en","type":"article","venue":"SUNScholar (Stellenbosch University)","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Inflation (cosmology); Economics; Current Population Survey; Geography; Demography; Sociology; Population","score_opus":0.03236849017064571,"score_gpt":0.20233994043775283,"score_spread":0.1699714502671071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049700638","genre_codex":"dataset","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":[0.28659812,0.002194439,0.001430522,0.0010040494,0.0001613559,0.00040292533,0.68363136,0.00072540005,0.023851832],"genre_scores_gemma":[0.3871729,0.0025236227,0.0021471598,0.0006705272,0.00020402684,0.00085905474,0.58177084,0.00020473232,0.024447074],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988298,0.00020281319,0.00022910496,0.00013275367,0.00046497645,0.00014064265],"domain_scores_gemma":[0.99240464,0.0008266899,0.002651592,0.0005198382,0.0030830074,0.000514238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023131103,0.0004657271,0.0005079468,0.0028583002,0.0002799135,0.00071804924,0.00049017475,0.0004464771,0.004927395],"category_scores_gemma":[0.0055511463,0.0003662467,0.00048340697,0.0036463973,0.00007760461,0.00054167386,0.00060773094,0.00053522363,0.011430478],"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":[0.0005226289,0.00025012883,0.6636693,0.0003680929,0.0001479668,0.0000527687,0.00050681096,0.00055774255,0.00028071494,0.00033219316,0.28101394,0.05229767],"study_design_scores_gemma":[0.000025193662,0.00008476103,0.97511375,0.000052539956,0.000028883795,0.000052247055,0.0001224669,0.00017375704,0.00019010836,0.000034027587,0.024111353,0.000010792818],"about_ca_topic_score_codex":0.020750413,"about_ca_topic_score_gemma":0.018912645,"teacher_disagreement_score":0.020750413,"about_ca_system_score_codex":0.00067788456,"about_ca_system_score_gemma":0.0007960913,"threshold_uncertainty_score":0.04125923},"labels":[],"label_agreement":null},{"id":"W2051549332","doi":"10.11118/actaun201260040037","title":"Regional disparities and convergences in America","year":2013,"lang":"en","type":"article","venue":"Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Universitat Pompeu Fabra; United Nations Development Programme; University of Pennsylvania; Yale University","keywords":"Geography; Regional science; Economic geography","score_opus":0.01918938131913002,"score_gpt":0.18566112121114636,"score_spread":0.16647173989201636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051549332","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":[0.9694297,0.0027287903,0.0007579449,0.000672119,0.000024636887,0.000015609656,0.0007545882,0.000024336836,0.025592318],"genre_scores_gemma":[0.9983748,0.00063493574,0.00031325725,0.000031391144,0.000016440465,0.000007578718,0.00026640162,0.000004627664,0.0003506114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993136,0.0001373308,0.000045299068,0.00014646433,0.00017641208,0.00018090672],"domain_scores_gemma":[0.9987747,0.0002018623,0.00036212514,0.00007027069,0.00046462056,0.00012654359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000949507,0.0001698269,0.00034576014,0.0044962238,0.00078565127,0.0010960115,0.00020942514,0.00016164566,0.00224341],"category_scores_gemma":[0.0040339143,0.000084725194,0.00029859375,0.004741389,0.0008508887,0.0009767658,0.0019088263,0.00036851587,0.00010547341],"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":[0.00010377596,0.00002017191,0.89977795,0.00016782236,0.00014450136,0.00028551306,0.0140625965,0.001571387,0.0005486283,0.024133237,0.0017818089,0.05740264],"study_design_scores_gemma":[0.0000040962595,0.000026085292,0.9750158,0.000137051,0.000035391688,0.00019611513,0.009225498,0.00073478045,0.00015345645,0.0034210181,0.011037275,0.000013400297],"about_ca_topic_score_codex":0.04226494,"about_ca_topic_score_gemma":0.039396342,"teacher_disagreement_score":0.04226494,"about_ca_system_score_codex":0.0012878004,"about_ca_system_score_gemma":0.0011187333,"threshold_uncertainty_score":0.08403784},"labels":[],"label_agreement":null},{"id":"W2051789874","doi":"10.1016/j.jeconom.2014.06.014","title":"Undesirable outputs and a primal Divisia productivity index based on the directional output distance function","year":2014,"lang":"en","type":"article","venue":"Journal of Econometrics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":64,"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 Calgary","funders":"","keywords":"Divisia index; Productivity; Index (typography); Econometrics; Divisia monetary aggregates index; Economics; Productivity model; Function (biology); Mathematics; Statistics; Total factor productivity; Computer science; Macroeconomics","score_opus":0.0799678930968248,"score_gpt":0.19537008177049592,"score_spread":0.11540218867367112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051789874","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":[0.4781886,0.00034158197,0.5068876,0.0005506902,0.000071837894,0.000032931748,0.0002691596,0.00014930453,0.013508361],"genre_scores_gemma":[0.9764148,0.0001269402,0.020913495,0.000024794086,0.000041472416,0.0000265153,0.00011924122,0.00003585444,0.0022970345],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99912673,0.00031166853,0.000061103165,0.0001777028,0.00023650735,0.00008632201],"domain_scores_gemma":[0.99300283,0.004023723,0.001203705,0.0005059339,0.0008826538,0.00038108506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022695863,0.00059572945,0.0005780003,0.0015764176,0.0003395571,0.0027478456,0.0005175341,0.0008290048,0.0019101631],"category_scores_gemma":[0.009150347,0.00022599546,0.00040710712,0.0010029175,0.0014239853,0.0020493602,0.0016220077,0.0009854485,0.00029563197],"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":[0.0007588002,0.00020418406,0.04512385,0.00024264971,0.000114787515,0.00051665644,0.00036153014,0.18555371,0.023034202,0.6714246,0.0014182602,0.071246766],"study_design_scores_gemma":[0.00004934268,0.0002549446,0.0120193865,0.000044186312,0.000044909975,0.00041027757,0.00017382808,0.74719495,0.008062423,0.22950482,0.0021753153,0.00006568013],"about_ca_topic_score_codex":0.0003428581,"about_ca_topic_score_gemma":0.00018987141,"teacher_disagreement_score":0.0027478456,"about_ca_system_score_codex":0.00091385155,"about_ca_system_score_gemma":0.0005755172,"threshold_uncertainty_score":0.012002826},"labels":[],"label_agreement":null},{"id":"W2052134463","doi":"10.5430/ijba.v3n2p47","title":"Research on Effects of Science &amp; Technology Progress on Shaanxi Economic Development","year":2012,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Connotation; Sustainable development; Technical progress; Technological change; Economics; Macroeconomics; Political science","score_opus":0.07388181576342254,"score_gpt":0.34411082799928455,"score_spread":0.27022901223586204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052134463","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":[0.97906905,0.0029484718,0.0007005707,0.0015232434,0.000046734494,0.00002372829,0.0005023339,0.00002923446,0.015156713],"genre_scores_gemma":[0.9916863,0.004066735,0.00039584003,0.000058354173,0.000025097195,0.000011702844,0.00046377044,0.0000035227763,0.0032887019],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994885,0.00012151104,0.000040307717,0.000066604785,0.00018252175,0.00010056572],"domain_scores_gemma":[0.99833775,0.0006033477,0.00032446394,0.000047708276,0.0005335983,0.00015315384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014904602,0.00028985587,0.00024250089,0.0022912116,0.0005285068,0.0010256915,0.0002407925,0.00020532735,0.0026256456],"category_scores_gemma":[0.0025272449,0.00012946369,0.0003366592,0.0032253007,0.00037866732,0.0010612751,0.0005927396,0.00043437537,0.00017185725],"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":[0.00015189563,0.00017002906,0.8487938,0.0007020348,0.00025677367,0.001214002,0.0030537623,0.0077682533,0.0015056976,0.028412143,0.0037271383,0.10424445],"study_design_scores_gemma":[0.000006459325,0.00010464317,0.97955894,0.00012758625,0.000092391936,0.00011054767,0.0023283486,0.0035225395,0.0008962883,0.0012283145,0.01201167,0.000012279197],"about_ca_topic_score_codex":0.0236474,"about_ca_topic_score_gemma":0.027330598,"teacher_disagreement_score":0.0236474,"about_ca_system_score_codex":0.0018670397,"about_ca_system_score_gemma":0.00364864,"threshold_uncertainty_score":0.04701948},"labels":[],"label_agreement":null},{"id":"W2052510595","doi":"10.5539/ibr.v6n6p10","title":"Does Market Size Matter for How Trade Openess Affects Economic Growth?","year":2013,"lang":"en","type":"article","venue":"International Business Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Openness to experience; Market size; Panel data; Economics; Estimation; Fixed effects model; Market share; Cross-sectional data; International economics; Econometrics","score_opus":0.046260348051993944,"score_gpt":0.2870288367330366,"score_spread":0.24076848868104264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052510595","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":[0.9868994,0.0015940116,0.00093968323,0.0016207449,0.00004605019,0.00001236482,0.00032220603,0.000020961897,0.008544632],"genre_scores_gemma":[0.998855,0.00033596435,0.000063999665,0.000074475836,0.000053972068,0.0000028722757,0.00010825222,0.0000053958915,0.0005001276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958783,0.00014242982,0.000030241737,0.00008242058,0.00006590018,0.0000911976],"domain_scores_gemma":[0.9865957,0.0071297227,0.0041760383,0.00040977806,0.0003588246,0.0013299113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001035104,0.00026540534,0.00041947412,0.0008551947,0.00028909362,0.0015642837,0.0002523847,0.00066161953,0.005978114],"category_scores_gemma":[0.0066669704,0.000110922134,0.000682851,0.0011262948,0.0011589566,0.0017824722,0.0006649202,0.0006926526,0.0006228627],"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":[0.00029097978,0.00015190177,0.9758666,0.0000670122,0.0002887828,0.0005503488,0.00021104884,0.0019378135,0.0019763801,0.0033318847,0.00055276183,0.014774439],"study_design_scores_gemma":[0.000020629972,0.00012594019,0.9899811,0.000024090537,0.0001159022,0.00015383553,0.00044277176,0.0018417288,0.0005965787,0.005113984,0.0015676582,0.000015695174],"about_ca_topic_score_codex":0.001650358,"about_ca_topic_score_gemma":0.0018485623,"teacher_disagreement_score":0.005978114,"about_ca_system_score_codex":0.0003474251,"about_ca_system_score_gemma":0.00038673932,"threshold_uncertainty_score":0.019998789},"labels":[],"label_agreement":null},{"id":"W2053101689","doi":"10.5539/ijef.v3n1p84","title":"Total Factor Productivity in Food Industries of Iran","year":2011,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Agricultural economics; Total factor productivity; Food industry; Economics; Business; Economic growth; Food science; Biology","score_opus":0.07406685923224673,"score_gpt":0.21432338111574267,"score_spread":0.14025652188349594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053101689","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":[0.9954756,0.00030801812,0.00018134635,0.000070238435,0.000004848139,0.0000051655934,0.001113193,0.000009419001,0.0028321645],"genre_scores_gemma":[0.9972824,0.0002712342,0.00020842074,0.000008456743,0.000007679185,0.0000046365344,0.0011252632,0.0000019256493,0.0010899333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980813,0.000013807227,0.000011039389,0.000033085038,0.00006979079,0.00006412173],"domain_scores_gemma":[0.9994435,0.00006665503,0.00019296804,0.000030620507,0.00020095988,0.000065259424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031840606,0.00021279886,0.00012854676,0.002006497,0.00017842282,0.00048545422,0.00017369728,0.00009893843,0.0019063707],"category_scores_gemma":[0.000891828,0.000098063116,0.00036523698,0.0021671474,0.00016804757,0.00030798814,0.00024667438,0.00017355291,0.00037411577],"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":[0.000095461335,0.000038661932,0.96496207,0.000054249867,0.000071724855,0.00015255637,0.0005502003,0.0015478997,0.0012727304,0.00056883966,0.0008989052,0.029786821],"study_design_scores_gemma":[0.0000016199813,0.000033498756,0.99782383,0.000004678001,0.000008255284,0.00005658355,0.00032378174,0.00031018167,0.00019361588,0.00014299912,0.0010980244,0.0000029618748],"about_ca_topic_score_codex":0.02882182,"about_ca_topic_score_gemma":0.022596873,"teacher_disagreement_score":0.02882182,"about_ca_system_score_codex":0.0007509631,"about_ca_system_score_gemma":0.0007663414,"threshold_uncertainty_score":0.057308137},"labels":[],"label_agreement":null},{"id":"W2053605562","doi":"10.7202/1008458ar","title":"Informatisation et performance dans la PME au Cameroun","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.01950020559423774,"score_gpt":0.22908670708298937,"score_spread":0.20958650148875163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053605562","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":[0.9432238,0.0042424286,0.002907455,0.0059693865,0.000068540656,0.00004760644,0.00020431943,0.00002275533,0.043313675],"genre_scores_gemma":[0.9944608,0.0010529698,0.0008004158,0.00012027628,0.0000123252785,0.000014422798,0.00003064421,0.000004750858,0.0035035156],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.997384,0.0015932334,0.00009492737,0.000221547,0.0003186704,0.00038768374],"domain_scores_gemma":[0.99258524,0.0040439884,0.0015952978,0.00031156812,0.0010409268,0.00042297778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053939377,0.0006023013,0.00033057164,0.00133521,0.0018491424,0.0046618427,0.00036705012,0.0009142983,0.006424187],"category_scores_gemma":[0.0102784345,0.00020644708,0.00018067546,0.0038871765,0.0032500713,0.0035201202,0.0019681999,0.0009030689,0.00053677167],"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":[0.0016060283,0.0002870345,0.22616984,0.0013922795,0.00012723578,0.0023495068,0.09654571,0.015514688,0.005878026,0.4328976,0.0056619113,0.21157014],"study_design_scores_gemma":[0.00016547936,0.0012632288,0.5421389,0.0021332435,0.00022699314,0.0013722588,0.13905795,0.021020913,0.012550184,0.06891397,0.21087837,0.00027858553],"about_ca_topic_score_codex":0.038255647,"about_ca_topic_score_gemma":0.026219185,"teacher_disagreement_score":0.038255647,"about_ca_system_score_codex":0.0058428883,"about_ca_system_score_gemma":0.004147246,"threshold_uncertainty_score":0.0760659},"labels":[],"label_agreement":null},{"id":"W2057231621","doi":"10.1108/eum0000000005467","title":"Human capital and regional convergence in Canada","year":2001,"lang":"en","type":"article","venue":"Journal of Economic Studies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University; University of Ottawa","funders":"","keywords":"Human capital; Economics; Per capita income; Per capita; Demographic economics; Convergence (economics); Physical capital; Labour economics; Population; Macroeconomics; Economic growth; Demography","score_opus":0.06651589283113456,"score_gpt":0.24608720234003637,"score_spread":0.17957130950890182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057231621","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":[0.9686973,0.0018039515,0.0013014283,0.0015776008,0.000022003333,0.000052202497,0.0028524727,0.00006528555,0.023627637],"genre_scores_gemma":[0.99708074,0.000367576,0.00030120253,0.00003585463,0.0000036298468,0.000006545936,0.00054278225,0.0000075607286,0.0016539794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991854,0.000059554925,0.00002275365,0.00010185338,0.00016616116,0.00046424326],"domain_scores_gemma":[0.9972886,0.00022845647,0.00037455853,0.00010221824,0.0014238389,0.00058239256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097313576,0.00026368946,0.0004959478,0.0036780231,0.0031203926,0.0018647885,0.00073876465,0.0003486493,0.0040787016],"category_scores_gemma":[0.0048699887,0.00018942732,0.0007448778,0.007187262,0.0013063275,0.0008444139,0.0018302875,0.0008377164,0.00023321924],"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":[0.00022373725,0.00005192607,0.8771996,0.00012438587,0.00023269566,0.0008456638,0.0048874677,0.02323506,0.00027021318,0.04200258,0.0079682,0.042958412],"study_design_scores_gemma":[0.000024580486,0.000027940656,0.9675628,0.00011706626,0.00007475582,0.00015744485,0.003755034,0.015066216,0.00019936121,0.0036204273,0.009355973,0.00003828622],"about_ca_topic_score_codex":0.99487275,"about_ca_topic_score_gemma":0.9931593,"teacher_disagreement_score":0.035769913,"about_ca_system_score_codex":0.035769913,"about_ca_system_score_gemma":0.034788433,"threshold_uncertainty_score":0.25953007},"labels":[],"label_agreement":null},{"id":"W2057704896","doi":"10.1111/j.1475-4991.2008.00279.x","title":"DOES POPULATION AGEING PROMOTE FASTER ECONOMIC GROWTH?","year":2008,"lang":"en","type":"article","venue":"Review of Income and Wealth","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for International Governance Innovation","funders":"","keywords":"Per capita; Economics; Population ageing; Demographic economics; Population; Ageing; Gross domestic product; Demographic change; Demography; Population growth; Economic growth; Medicine","score_opus":0.021712560486320514,"score_gpt":0.23571528674449385,"score_spread":0.21400272625817335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057704896","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":[0.7528266,0.0829832,0.0056867795,0.08609965,0.0012434479,0.000072112496,0.0016293845,0.00014683072,0.06931197],"genre_scores_gemma":[0.9620505,0.029938241,0.00080686685,0.0028008677,0.0010861262,0.000021004544,0.00021896674,0.000016095115,0.0030614103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999688,0.00008599974,0.000024325798,0.00006415482,0.000050532297,0.00008702676],"domain_scores_gemma":[0.99697256,0.0008391395,0.0014529503,0.00018992227,0.00029008585,0.00025536102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014387887,0.00021885512,0.0005258652,0.0010595507,0.00023248636,0.0013085464,0.00037524002,0.0010275915,0.0063822856],"category_scores_gemma":[0.0061062607,0.00013265328,0.00040807348,0.0016438445,0.0007971013,0.0024987713,0.0007182779,0.00069364044,0.0011395589],"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":[0.00050253846,0.00027790817,0.53859866,0.0017069085,0.0005059229,0.0014738705,0.0017604837,0.0039673643,0.0017790593,0.10956167,0.0154699385,0.32439575],"study_design_scores_gemma":[0.00007406718,0.00022027995,0.87619823,0.0006601448,0.00019508539,0.0007004596,0.0023585476,0.0023574715,0.0004376658,0.0708152,0.04594434,0.00003855869],"about_ca_topic_score_codex":0.0028765886,"about_ca_topic_score_gemma":0.002915973,"teacher_disagreement_score":0.0063822856,"about_ca_system_score_codex":0.00041203815,"about_ca_system_score_gemma":0.00047205616,"threshold_uncertainty_score":0.02135086},"labels":[],"label_agreement":null},{"id":"W2057899733","doi":"10.1016/j.econlet.2009.12.012","title":"Openness, domestic performance and growth","year":2009,"lang":"en","type":"article","venue":"Economics Letters","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":"Global Affairs Canada; University of Toronto","funders":"","keywords":"Openness to experience; Economics; Estimation; International economics; Business; Monetary economics; Econometrics; Psychology; Social psychology","score_opus":0.013825292267303058,"score_gpt":0.1786223047594187,"score_spread":0.16479701249211565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057899733","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":[0.76211387,0.041838452,0.0033466762,0.061223138,0.0010150543,0.0000137560455,0.0011746292,0.00011764559,0.1291568],"genre_scores_gemma":[0.9857799,0.0068936097,0.00019281074,0.000539089,0.0005564365,0.0000056225454,0.00019141154,0.000015458514,0.0058256155],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99978954,0.00007588173,0.000018022356,0.00003372778,0.000033195447,0.00004964022],"domain_scores_gemma":[0.9938484,0.0035205034,0.0015057129,0.00019505757,0.00030998414,0.00062036596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012739811,0.00021494224,0.00043257643,0.0010466789,0.00048584698,0.0048920983,0.00018647025,0.00096179865,0.008277307],"category_scores_gemma":[0.008159131,0.00013395018,0.00018772206,0.002388234,0.001875947,0.0029907338,0.0013057585,0.001456755,0.00055666716],"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":[0.0010403736,0.00053106766,0.30695254,0.00048284352,0.00030618435,0.0016563364,0.0018418942,0.015739577,0.00068355876,0.50732476,0.044702195,0.11873875],"study_design_scores_gemma":[0.00006445032,0.000108336695,0.25857732,0.00028657567,0.00011638014,0.0004092337,0.0027363114,0.00564659,0.00038642625,0.70136946,0.030247167,0.000051746563],"about_ca_topic_score_codex":0.003284572,"about_ca_topic_score_gemma":0.0034845418,"teacher_disagreement_score":0.008277307,"about_ca_system_score_codex":0.0011315396,"about_ca_system_score_gemma":0.000660169,"threshold_uncertainty_score":0.027690291},"labels":[],"label_agreement":null},{"id":"W2057946712","doi":"10.1016/s0304-3932(00)00049-0","title":"Relative prices and investment rates","year":2001,"lang":"en","type":"article","venue":"Journal of Monetary Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":185,"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":"Relative price; Economics; Investment (military); Econometrics; Consumption (sociology); Sample (material); Investment goods; Price level; Monetary economics; Macroeconomics; Production (economics)","score_opus":0.03299848669702698,"score_gpt":0.20438153189629985,"score_spread":0.17138304519927286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057946712","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":[0.44323263,0.05765259,0.078316845,0.04841878,0.0021745318,0.00003442122,0.0012453516,0.00028213058,0.3686428],"genre_scores_gemma":[0.9566732,0.010411644,0.0028614607,0.00039764386,0.00092088064,0.000014810338,0.0001927596,0.00004139387,0.028486203],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997018,0.000110546236,0.000020352554,0.000055838562,0.000076940385,0.000034469056],"domain_scores_gemma":[0.99630535,0.0022627346,0.0007770381,0.00020931354,0.00032873917,0.00011682986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012143522,0.00034225365,0.00042124488,0.0008306429,0.00035948723,0.004054047,0.00040875812,0.0010981718,0.010931289],"category_scores_gemma":[0.011457974,0.00034626003,0.00026805032,0.0015101322,0.0011658026,0.0049759764,0.0005179543,0.0019496973,0.0012891054],"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":[0.000058827012,0.000023699045,0.0018480174,0.000039324706,0.00001835501,0.0000633163,0.00014694409,0.003608091,0.00028858328,0.9789336,0.0031222343,0.01184905],"study_design_scores_gemma":[0.000016378703,0.000021388843,0.0036786683,0.000035839632,0.000024639736,0.00012939646,0.00012853174,0.004433387,0.00027631814,0.9771991,0.014044409,0.000011922373],"about_ca_topic_score_codex":0.00091342704,"about_ca_topic_score_gemma":0.00080417667,"teacher_disagreement_score":0.010931289,"about_ca_system_score_codex":0.0010219773,"about_ca_system_score_gemma":0.00035781102,"threshold_uncertainty_score":0.03656876},"labels":[],"label_agreement":null},{"id":"W2058622740","doi":"10.1162/003465305775098116","title":"Changes in the World Distribution of Output Per Worker, 1960–1998: How a Standard Decomposition Tells an Unorthodox Story","year":2005,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Distribution (mathematics); Economics; Decomposition; Income distribution; Contrast (vision); Labour economics; Demographic economics; Capital (architecture); Econometrics; Mathematics; Geography; Inequality","score_opus":0.037601271417715416,"score_gpt":0.2624409123638614,"score_spread":0.224839640946146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058622740","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":[0.843077,0.057150602,0.03921258,0.024029534,0.0010595332,0.000031206728,0.0118676415,0.00013246092,0.023439432],"genre_scores_gemma":[0.9630572,0.024658622,0.005212129,0.0010996306,0.0004948052,0.00002227521,0.002967763,0.000047976628,0.0024396107],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996885,0.0000696773,0.00003734643,0.00010555852,0.000060857372,0.00003808513],"domain_scores_gemma":[0.99863964,0.00037890507,0.0005130933,0.0001476924,0.00027168627,0.00004897346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012475181,0.0002834574,0.0003850901,0.0021463844,0.00023030046,0.0014154494,0.0002587388,0.0003934304,0.001084341],"category_scores_gemma":[0.0046617007,0.0001827358,0.00044116966,0.0035295093,0.00090024975,0.0021598542,0.0006425336,0.00083954347,0.0003133221],"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":[0.0007508812,0.00010259791,0.43498665,0.00092224503,0.0013401309,0.00076603575,0.0026069556,0.023237603,0.0018767152,0.21674967,0.04092005,0.2757405],"study_design_scores_gemma":[0.00007277223,0.00014237665,0.72276956,0.00081266597,0.00032988406,0.00074374,0.0023738903,0.010418873,0.001463773,0.17146528,0.08929582,0.00011136365],"about_ca_topic_score_codex":0.01169258,"about_ca_topic_score_gemma":0.008465516,"teacher_disagreement_score":0.01169258,"about_ca_system_score_codex":0.0009028001,"about_ca_system_score_gemma":0.00030330027,"threshold_uncertainty_score":0.02324903},"labels":[],"label_agreement":null},{"id":"W2060617614","doi":"10.1007/s00168-012-0500-x","title":"A note on convergence across Canadian provinces: new insights from the club clustering algorithm","year":2012,"lang":"en","type":"article","venue":"The Annals of Regional Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Convergence (economics); Divergence (linguistics); Convergence clubs; Club; Cluster analysis; Per capita; Economic geography; Geography; Econometrics; Regional science; Economics; Mathematics; Economic growth; Statistics; Sociology; Demography","score_opus":0.12621941729904176,"score_gpt":0.2962591196226534,"score_spread":0.17003970232361162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060617614","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":[0.20729086,0.012757345,0.6393532,0.023628367,0.0012475421,0.00037590056,0.004748397,0.0009179589,0.10968046],"genre_scores_gemma":[0.8476743,0.00395225,0.12694523,0.0014416336,0.00056569435,0.00014090745,0.0026604305,0.00048773352,0.01613178],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.996209,0.0013658719,0.00018739188,0.0006981249,0.0009099224,0.000629621],"domain_scores_gemma":[0.98281074,0.006583215,0.0005257541,0.0021120056,0.0072940956,0.0006743604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010644016,0.0006402737,0.0023018036,0.0047482387,0.0064203837,0.0054446976,0.003856752,0.0017611411,0.006112778],"category_scores_gemma":[0.06938329,0.00044430624,0.0018101223,0.011200728,0.0035352514,0.0037999877,0.0030293048,0.0027214822,0.0005992853],"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":[0.0003096986,0.00008260921,0.05477911,0.00028786558,0.00043211703,0.0003390036,0.002904816,0.16519491,0.0004259674,0.54028475,0.054941725,0.18001749],"study_design_scores_gemma":[0.00011512962,0.0000692427,0.03758135,0.00041860985,0.00028181085,0.0002580815,0.003665446,0.49324352,0.00077198166,0.40977827,0.053660024,0.00015667874],"about_ca_topic_score_codex":0.8670152,"about_ca_topic_score_gemma":0.87166506,"teacher_disagreement_score":0.13298482,"about_ca_system_score_codex":0.012899315,"about_ca_system_score_gemma":0.024496552,"threshold_uncertainty_score":0.26753592},"labels":[],"label_agreement":null},{"id":"W2060944205","doi":"10.1007/s10258-006-0016-3","title":"The structural transformation and aggregate productivity in Portugal","year":2006,"lang":"en","type":"article","venue":"Portuguese Economic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":36,"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":"Productivity; Economics; Agricultural productivity; Aggregate (composite); Multifactor productivity; Transformation (genetics); Agriculture; Productivity model; Econometrics; Closing (real estate); Labour economics; Total factor productivity; Macroeconomics; Geography","score_opus":0.012801143367762472,"score_gpt":0.20193544430832902,"score_spread":0.18913430094056655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060944205","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":[0.9559621,0.0014945762,0.001337239,0.0030302338,0.000055255117,0.000014970497,0.0011337582,0.000053995216,0.03691776],"genre_scores_gemma":[0.9981845,0.00033898847,0.00012235773,0.00002554802,0.000032134674,0.0000035891255,0.00019446784,0.000008766844,0.0010895852],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99952745,0.000100048856,0.000035138277,0.00006960577,0.00009450554,0.00017332652],"domain_scores_gemma":[0.9983491,0.0004908022,0.00062058837,0.00015441053,0.00020817936,0.00017701583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010153987,0.00028539356,0.00052982883,0.001001047,0.0007841718,0.003626877,0.00043126443,0.00084720924,0.004665085],"category_scores_gemma":[0.0050394093,0.00020385277,0.00060641137,0.002421022,0.0009825587,0.0015726201,0.0012951862,0.0006710901,0.0004321927],"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":[0.001850001,0.00040901906,0.37860075,0.00066985056,0.00038405508,0.0028858106,0.0074971253,0.0847023,0.0029763854,0.40950373,0.009984489,0.10053642],"study_design_scores_gemma":[0.00020386802,0.0002018327,0.7896199,0.0002546045,0.00019241386,0.0006363774,0.0077160527,0.03722345,0.0014371901,0.13286412,0.029579485,0.000070650625],"about_ca_topic_score_codex":0.033215843,"about_ca_topic_score_gemma":0.027651848,"teacher_disagreement_score":0.033215843,"about_ca_system_score_codex":0.003113007,"about_ca_system_score_gemma":0.0020208277,"threshold_uncertainty_score":0.066045046},"labels":[],"label_agreement":null},{"id":"W2061309152","doi":"","title":"The Determinants of Industrial R&D: A Funds Flow Simultaneous Equation Approach","year":2015,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Flow of funds; Crowding out; Econometrics; Economics; Simultaneous equations model; Government (linguistics); Business; Monetary economics; Finance","score_opus":0.14305959633852314,"score_gpt":0.2979908820563727,"score_spread":0.15493128571784956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061309152","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":[0.48275307,0.0040789717,0.47132784,0.009929803,0.00034390736,0.0003823183,0.0037634473,0.0006723728,0.02674827],"genre_scores_gemma":[0.9413837,0.0038379927,0.027388822,0.00041884123,0.00051689195,0.00024168326,0.0014607914,0.00006265837,0.024688695],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988686,0.00044455304,0.00006018862,0.00024319619,0.00016795707,0.00021560583],"domain_scores_gemma":[0.9968252,0.0020295077,0.0006830023,0.00012323124,0.0002028307,0.00013614124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025886921,0.0010440681,0.0016359198,0.0030059887,0.00054641865,0.0031558552,0.0011702535,0.0019382908,0.007368385],"category_scores_gemma":[0.00691642,0.0010529658,0.0024098768,0.0024750035,0.0007998423,0.002699254,0.0014056339,0.001893051,0.0007174945],"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":[0.00016209336,0.00028453156,0.046424314,0.00024074114,0.0006407433,0.0006227063,0.0004816102,0.5107743,0.0008632255,0.37669256,0.0071733263,0.055639952],"study_design_scores_gemma":[0.00015316378,0.00016812737,0.018751152,0.00016812912,0.00059231935,0.0001815489,0.00024892393,0.7753264,0.000783612,0.18961763,0.0139023,0.000106639585],"about_ca_topic_score_codex":0.02976573,"about_ca_topic_score_gemma":0.015053668,"teacher_disagreement_score":0.02976573,"about_ca_system_score_codex":0.0019003737,"about_ca_system_score_gemma":0.003032952,"threshold_uncertainty_score":0.05918497},"labels":[],"label_agreement":null},{"id":"W2061378980","doi":"10.1016/j.jmacro.2008.06.001","title":"Human capital aggregation and relative wages across countries","year":2008,"lang":"en","type":"article","venue":"Journal of Macroeconomics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":15,"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 Winnipeg","funders":"","keywords":"Total factor productivity; Economics; Production (economics); Productivity; Growth accounting; Production function; Human capital; Labour economics; Relative price; Capital (architecture); Factors of production; Function (biology); Econometrics; Monetary economics; Macroeconomics","score_opus":0.02642205388425292,"score_gpt":0.23669307609996434,"score_spread":0.21027102221571142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061378980","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":[0.99618834,0.00060713704,0.0008260206,0.00022205366,0.000016754017,0.000004282838,0.00027457465,0.000010323289,0.0018505099],"genre_scores_gemma":[0.9993444,0.000100306606,0.00014122315,0.000015514242,0.000011723993,0.0000020328628,0.00020858971,0.0000019336246,0.00017434306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990102,0.00035950384,0.00008026008,0.0002198496,0.00010571067,0.00022443302],"domain_scores_gemma":[0.9929796,0.0028826417,0.0023380257,0.0006579158,0.00064822985,0.00049366435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019281814,0.00021500517,0.0007103494,0.0020753418,0.00061497523,0.0022959919,0.00038120177,0.0005745775,0.0024881186],"category_scores_gemma":[0.0069296677,0.0002721699,0.00048156775,0.004634623,0.0010708271,0.0016632994,0.0015069742,0.0005326962,0.0002773823],"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":[0.00086412707,0.00008520441,0.9221322,0.00009182637,0.0014530455,0.00039378717,0.002006695,0.020707965,0.0007608663,0.027736304,0.0018518381,0.021916162],"study_design_scores_gemma":[0.000053754953,0.00009868736,0.97238016,0.00004625524,0.0002509958,0.0001741742,0.0016989536,0.005456491,0.00025816285,0.01789459,0.0016631748,0.000024556979],"about_ca_topic_score_codex":0.0075959424,"about_ca_topic_score_gemma":0.0063927867,"teacher_disagreement_score":0.0075959424,"about_ca_system_score_codex":0.0006788316,"about_ca_system_score_gemma":0.00036972214,"threshold_uncertainty_score":0.015103459},"labels":[],"label_agreement":null},{"id":"W2061385520","doi":"10.7202/703881ar","title":"Convergence des profils de croissance régionaux de part et d'autre de la frontière américaine","year":2005,"lang":"fr","type":"article","venue":"Études internationales","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Association of Universities and Colleges of Canada","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.033316844780040426,"score_gpt":0.26872885583123296,"score_spread":0.23541201105119253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061385520","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":[0.91695434,0.0026505557,0.042860467,0.00084558607,0.000027945845,0.000025443112,0.0011508758,0.00021073308,0.035273917],"genre_scores_gemma":[0.98880774,0.0007239782,0.005201814,0.00003387932,0.000009662486,0.000021285436,0.0003453177,0.000045855682,0.004810442],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993418,0.00015246424,0.000021356087,0.00024714842,0.00012422769,0.00011296098],"domain_scores_gemma":[0.996176,0.0017338343,0.00045673587,0.0003616598,0.0010939667,0.00017784956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020009505,0.00033624572,0.00051693805,0.0022958182,0.00074373797,0.003453448,0.00042334566,0.00053893536,0.0038601533],"category_scores_gemma":[0.009295638,0.00029614253,0.00064178027,0.001975589,0.0013533727,0.0014751189,0.0010022077,0.0008063483,0.00043737653],"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":[0.000574304,0.000044526878,0.323311,0.00028720664,0.00042321533,0.0005557143,0.011871978,0.19552445,0.011382097,0.30081105,0.0028787015,0.15233575],"study_design_scores_gemma":[0.000028414688,0.00010746719,0.7017456,0.00024210899,0.00013495471,0.00056510896,0.0052410252,0.1301477,0.004022254,0.121722646,0.03591264,0.00013003542],"about_ca_topic_score_codex":0.12262983,"about_ca_topic_score_gemma":0.0798564,"teacher_disagreement_score":0.8773702,"about_ca_system_score_codex":0.0037360715,"about_ca_system_score_gemma":0.00202614,"threshold_uncertainty_score":0.24383205},"labels":[],"label_agreement":null},{"id":"W2062104445","doi":"10.5539/ass.v8n7p208","title":"KBE Frameworks and Their Applicability to a Resource-based Country: The Case of Brunei Darussalam","year":2012,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Competition (biology); Resource (disambiguation); Knowledge economy; Business; Knowledge management; Competitive advantage; Distribution (mathematics); Resource distribution; Knowledge base; Economics; Industrial organization; Economic system; Resource allocation; Computer science; Marketing; Management","score_opus":0.01726863304339519,"score_gpt":0.23200733212417687,"score_spread":0.2147386990807817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062104445","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":[0.28683588,0.0072341547,0.023489445,0.02547162,0.00012372945,0.0002808956,0.0002818986,0.000070591894,0.65621173],"genre_scores_gemma":[0.9797895,0.0016848821,0.0104432795,0.0004292282,0.0000137425395,0.00009532139,0.000059719925,0.0000070768465,0.0074771466],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99865013,0.0007229868,0.000052624448,0.00009289321,0.00012490971,0.00035655347],"domain_scores_gemma":[0.9983347,0.001104523,0.00013813828,0.00008770727,0.00023755654,0.00009735002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002238429,0.00033339192,0.000429016,0.0028797141,0.004475067,0.005388083,0.0012664094,0.0016507581,0.0033842656],"category_scores_gemma":[0.004079891,0.00022188704,0.00041924126,0.0052021453,0.0063912394,0.003475255,0.0029721258,0.0017999302,0.00020708187],"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":[0.000007229524,0.000017578726,0.0015624352,0.00004540249,0.000004195607,0.0016077908,0.0046687266,0.0015506393,0.00006308022,0.98123187,0.0007911466,0.008449965],"study_design_scores_gemma":[0.00005838419,0.000050027687,0.016230455,0.0009019402,0.000051884013,0.0016951319,0.05369119,0.027058141,0.00055907114,0.6611174,0.23846535,0.000121011435],"about_ca_topic_score_codex":0.20302838,"about_ca_topic_score_gemma":0.1783891,"teacher_disagreement_score":0.20302838,"about_ca_system_score_codex":0.014549958,"about_ca_system_score_gemma":0.0054192096,"threshold_uncertainty_score":0.40369326},"labels":[],"label_agreement":null},{"id":"W2063540714","doi":"10.5539/ibr.v5n11p187","title":"Understanding the Nexus of R&amp;D, Innovation and Economic Growth in Nigeria","year":2012,"lang":"en","type":"article","venue":"International Business Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Incentive; Nexus (standard); Productivity; Economics; Order (exchange); Government (linguistics); Innovation economics; Venture capital; Capital (architecture); Economic system; Market economy; Economic growth; Finance","score_opus":0.2731189021926408,"score_gpt":0.34607308294537675,"score_spread":0.07295418075273596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063540714","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":[0.9489604,0.023918897,0.0007172996,0.0048435666,0.000046982135,0.000019600278,0.00029864762,0.00000604584,0.021188488],"genre_scores_gemma":[0.9840211,0.013855993,0.0003989605,0.00014821929,0.000020394064,0.000009952723,0.00013334285,0.0000017006945,0.0014102684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979156,0.000037852235,0.000026215925,0.0000371936,0.000036132118,0.000071037415],"domain_scores_gemma":[0.9986738,0.0006543013,0.00043527602,0.000014183993,0.00014267463,0.000079857244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005140483,0.00019050068,0.00019334807,0.0021976242,0.00050476013,0.0018609264,0.00015092661,0.00046095467,0.0016715492],"category_scores_gemma":[0.0014896287,0.0001966788,0.00022324346,0.00242495,0.00058289635,0.002503611,0.0008577335,0.0006006741,0.00015888494],"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":[0.00006492759,0.00010721525,0.9050311,0.0007864005,0.000045059285,0.0015700195,0.0031848447,0.0044901604,0.0009667376,0.027187878,0.0011306421,0.055435028],"study_design_scores_gemma":[0.0000055051837,0.000055755067,0.9504413,0.0012490157,0.00007988578,0.00055329746,0.013891789,0.005079794,0.0005692999,0.012473194,0.015580152,0.000021040807],"about_ca_topic_score_codex":0.020369628,"about_ca_topic_score_gemma":0.043220095,"teacher_disagreement_score":0.020369628,"about_ca_system_score_codex":0.0012193867,"about_ca_system_score_gemma":0.0025666372,"threshold_uncertainty_score":0.04050213},"labels":[],"label_agreement":null},{"id":"W2065205454","doi":"10.1111/j.1475-4991.2009.00354.x","title":"THE RICH ARE DIFFERENT FROM THE REST OF US","year":2009,"lang":"en","type":"article","venue":"Review of Income and Wealth","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Nova scotia; Rest (music); Citation; Library science; History; Political science; Economics; Archaeology; Computer science","score_opus":0.02332984114267364,"score_gpt":0.23751162844744284,"score_spread":0.2141817873047692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065205454","genre_codex":"review","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":[0.00023958525,0.9779769,0.00008863961,0.009893874,0.004757071,0.0000026928712,0.00006542211,0.00001371318,0.0069621187],"genre_scores_gemma":[0.0033243117,0.9697402,0.0000936289,0.014113295,0.0040717963,0.0000110345745,0.000107368585,0.000016415945,0.008521978],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99937904,0.00014729772,0.000061248546,0.00016433973,0.00014636219,0.00010162801],"domain_scores_gemma":[0.99925965,0.00033434806,0.000116632895,0.000028606582,0.00016013856,0.00010066416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054552854,0.0007889753,0.0011477864,0.0013338838,0.0008424151,0.0056619076,0.00068763125,0.0016521204,0.016505172],"category_scores_gemma":[0.0022130231,0.00026187702,0.00037936628,0.0021958433,0.0011812014,0.006023981,0.0019515946,0.0022528202,0.0060594226],"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":[0.00008403943,0.000030887084,0.000911034,0.008081222,0.00012891706,0.0001741046,0.0015757093,0.00012494247,0.00073424017,0.03907956,0.46139467,0.48768073],"study_design_scores_gemma":[0.0000014185035,0.000010103753,0.00064539665,0.0018227849,0.000017441427,0.00007361711,0.00038234273,0.0000063608336,0.000045516717,0.0020075422,0.9949811,0.000006340145],"about_ca_topic_score_codex":0.0040119085,"about_ca_topic_score_gemma":0.005282697,"teacher_disagreement_score":0.016505172,"about_ca_system_score_codex":0.0009786708,"about_ca_system_score_gemma":0.001856602,"threshold_uncertainty_score":0.05521536},"labels":[],"label_agreement":null},{"id":"W2066383986","doi":"10.1108/01443580610706555","title":"Productivity trends in the United States","year":2006,"lang":"en","type":"article","venue":"Journal of Economic Studies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Productivity; Economics; Profit (economics); Econometrics; Context (archaeology); Originality; Instrumental variable; Variable (mathematics); Microeconomics; Macroeconomics; Mathematics; Geography","score_opus":0.06569103255086754,"score_gpt":0.2681017187813582,"score_spread":0.20241068623049063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066383986","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":[0.9697927,0.0032958752,0.00085373654,0.002808213,0.000102956416,0.000013902152,0.0072891656,0.000072025025,0.01577137],"genre_scores_gemma":[0.99056923,0.0013979204,0.00057093654,0.00026342622,0.00008439013,0.000016292262,0.0049946723,0.000012196989,0.0020909877],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99952376,0.00006950621,0.0000495722,0.00011832643,0.00016118075,0.00007761155],"domain_scores_gemma":[0.9972562,0.00043555655,0.00083935546,0.00013327195,0.0011864062,0.00014924827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097198447,0.00016675181,0.00019178519,0.0027293311,0.0002677045,0.0010681043,0.0002140383,0.00023684112,0.0011331878],"category_scores_gemma":[0.004573102,0.000077035686,0.00022601591,0.0045054983,0.00021945649,0.0005097079,0.0004451155,0.00047647042,0.00040449362],"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":[0.00011423097,0.000055146535,0.9125703,0.00007297303,0.0000625118,0.00010371697,0.0007422023,0.0010197834,0.000351034,0.0024409208,0.007347474,0.07511977],"study_design_scores_gemma":[0.0000039461042,0.000039715942,0.98599017,0.000040491428,0.000021100563,0.00007537961,0.00060439575,0.0009198697,0.0003410005,0.00038955768,0.011567774,0.0000066554985],"about_ca_topic_score_codex":0.03712477,"about_ca_topic_score_gemma":0.03397614,"teacher_disagreement_score":0.03712477,"about_ca_system_score_codex":0.0012831392,"about_ca_system_score_gemma":0.00081262796,"threshold_uncertainty_score":0.07381737},"labels":[],"label_agreement":null},{"id":"W2066709226","doi":"","title":"International R&D Spillovers and Institutions","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":105,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Cointegration; Total factor productivity; Economics; Estimation; Order (exchange); Human capital; Panel data; Productivity; Econometrics; Capital (architecture); International economics; Monetary economics; International trade; Macroeconomics; Finance; Geography","score_opus":0.029421551321487008,"score_gpt":0.2154313112527437,"score_spread":0.18600975993125668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066709226","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":[0.68815124,0.016066577,0.030494617,0.004847311,0.00010788836,0.00012151438,0.0037404709,0.00036274552,0.25610766],"genre_scores_gemma":[0.98791945,0.004360251,0.002080995,0.0002879829,0.000098649194,0.000033625147,0.00062014145,0.000011435232,0.004587375],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987243,0.00025703164,0.00009678313,0.0003633286,0.00029961567,0.00025886536],"domain_scores_gemma":[0.98767686,0.0048890393,0.00450982,0.001503211,0.0008131573,0.000608005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024177353,0.00032514805,0.0005968949,0.003536392,0.0004886975,0.002774407,0.0002758066,0.0005163023,0.012127337],"category_scores_gemma":[0.010311916,0.00020695833,0.0006038527,0.004771949,0.001564289,0.002393766,0.0027057813,0.0008820149,0.0008907413],"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":[0.0003065176,0.0002623366,0.28111094,0.0007231881,0.00060181477,0.0008484043,0.0013070853,0.040709227,0.0026292633,0.40175456,0.008647347,0.26109928],"study_design_scores_gemma":[0.00007531105,0.00022854657,0.6746998,0.0004994511,0.00050010555,0.000772179,0.0014916772,0.01086489,0.0048533203,0.23885508,0.067080654,0.00007902336],"about_ca_topic_score_codex":0.003461051,"about_ca_topic_score_gemma":0.0033577369,"teacher_disagreement_score":0.012127337,"about_ca_system_score_codex":0.0017371633,"about_ca_system_score_gemma":0.0008602201,"threshold_uncertainty_score":0.04057002},"labels":[],"label_agreement":null},{"id":"W2068037379","doi":"10.1080/13504850500401387","title":"The regional impact of population ageing in Canada: a general equilibrium analysis","year":2006,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Employment and Social Development Canada","funders":"","keywords":"Computable general equilibrium; Immigration; Economics; Population ageing; General equilibrium theory; Demographic economics; Fertility; Ageing; Overlapping generations model; Population; Projections of population growth; Labour economics; Geography; Demography; Sociology; Macroeconomics","score_opus":0.012438320261562084,"score_gpt":0.18198202468807853,"score_spread":0.16954370442651645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068037379","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":[0.9443909,0.0032591394,0.01551725,0.005911986,0.00010236688,0.000108062624,0.004078445,0.00018034715,0.02645146],"genre_scores_gemma":[0.9868339,0.0014742954,0.0019375476,0.00021137045,0.000020011357,0.000021147962,0.00063214573,0.000028036544,0.008841539],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994598,0.00008932293,0.00000979258,0.000080012825,0.000057249545,0.00030372935],"domain_scores_gemma":[0.9992473,0.00022328336,0.000089095774,0.00003425772,0.000249465,0.00015665349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009654252,0.0006793824,0.001332911,0.0009271309,0.0017897954,0.0022752644,0.0018344764,0.0011177096,0.005151245],"category_scores_gemma":[0.0032028472,0.00048673348,0.0016114739,0.0014045113,0.0010953388,0.0010137815,0.0013678625,0.0011053577,0.00030402056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002362939,0.00006834251,0.033254478,0.00010007117,0.00021326069,0.00068174076,0.00060015847,0.88317734,0.00083658093,0.06418744,0.0062818145,0.010362469],"study_design_scores_gemma":[0.00011676216,0.00007776495,0.033977382,0.00006778394,0.00036893899,0.00014493502,0.0013388323,0.94294673,0.00023280687,0.013133139,0.0075050322,0.00008984342],"about_ca_topic_score_codex":0.9826729,"about_ca_topic_score_gemma":0.96619475,"teacher_disagreement_score":0.9765021,"about_ca_system_score_codex":0.023497874,"about_ca_system_score_gemma":0.016500652,"threshold_uncertainty_score":0.17048979},"labels":[],"label_agreement":null},{"id":"W2068153224","doi":"10.1111/j.0008-4085.2005.00318.x","title":"Innis Lecture: Explorations in medium‐run macroeconomics","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Short run; Distribution (mathematics); Macroeconomics; Point (geometry); Endogenous growth theory; Field (mathematics); Income distribution; Set (abstract data type); Economic growth; Computer science; Human capital","score_opus":0.12588458667472832,"score_gpt":0.17845504466232862,"score_spread":0.052570457987600294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068153224","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":[0.008735681,0.21531379,0.020501021,0.3120399,0.037393413,0.0000339703,0.0011374259,0.00046904234,0.40437573],"genre_scores_gemma":[0.28280565,0.2748226,0.016796626,0.016562652,0.09808376,0.00017759338,0.00097026944,0.00063102983,0.30914986],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993981,0.00020596608,0.000026048634,0.00011785604,0.0001643112,0.00008763949],"domain_scores_gemma":[0.9969903,0.0019220008,0.00013160985,0.00012990857,0.00031733935,0.00050884375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024237207,0.00068365544,0.0006180168,0.001813797,0.0010617403,0.004329489,0.0006887262,0.0013718087,0.029359354],"category_scores_gemma":[0.004381242,0.00022469793,0.0006188467,0.0018214979,0.001547984,0.0032058842,0.0016051885,0.0034475438,0.0063456083],"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":[0.00005350146,0.000048103007,0.0016606501,0.00028386366,0.000035730995,0.00018184191,0.0004564021,0.0028119555,0.00034768993,0.43517843,0.47288695,0.086054884],"study_design_scores_gemma":[0.00001672896,0.00003171358,0.003085856,0.00065891637,0.000022327977,0.00017195419,0.00037073877,0.003979928,0.00021887358,0.2578521,0.73356146,0.00002934722],"about_ca_topic_score_codex":0.0045515136,"about_ca_topic_score_gemma":0.0053535323,"teacher_disagreement_score":0.029359354,"about_ca_system_score_codex":0.004062998,"about_ca_system_score_gemma":0.0017726144,"threshold_uncertainty_score":0.09821677},"labels":[],"label_agreement":null},{"id":"W2068791046","doi":"10.1111/j.1465-7287.2007.00057.x","title":"“SPILLOVERS” AND PRODUCTIVITY: THE CASE OF THE TAIWANESE HIGH‐TECH FIRMS","year":2008,"lang":"en","type":"article","venue":"Contemporary Economic Policy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Productivity; Human capital; Bachelor; Production (economics); Marginal product; Economics; Labour economics; Total factor productivity; Capital (architecture); Demographic economics; Business; Monetary economics; Microeconomics; Economic growth; Geography","score_opus":0.039965673128293015,"score_gpt":0.2196034678288807,"score_spread":0.1796377947005877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068791046","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":[0.99451905,0.00090979453,0.00058589416,0.00049376895,0.00000435148,0.000011000318,0.00014067856,0.000008771757,0.0033265876],"genre_scores_gemma":[0.9991079,0.000279629,0.00008456301,0.000020935546,0.000011008075,0.0000040040873,0.000087001805,6.040438e-7,0.0004044758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997212,0.00008034502,0.00001603751,0.000045415716,0.000038197904,0.00009860293],"domain_scores_gemma":[0.99519926,0.0023512014,0.0015009992,0.00019648834,0.0003020472,0.00045005334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009005518,0.00023873623,0.00029819235,0.002117489,0.0006012752,0.0013238083,0.0002713266,0.0005055385,0.0040957746],"category_scores_gemma":[0.0040845824,0.00012631957,0.00038981784,0.0021486864,0.0007579308,0.00086085795,0.0011262456,0.0005645945,0.00029672417],"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":[0.0002609798,0.0001657685,0.9497424,0.00010346525,0.00026265418,0.0028839824,0.0015071172,0.008601503,0.0011259333,0.0069413586,0.0010278303,0.027376989],"study_design_scores_gemma":[0.00004713069,0.0000982883,0.9802172,0.000062219624,0.00015522314,0.00037799508,0.0032638945,0.008281486,0.00070569565,0.0044929637,0.002274742,0.000023183553],"about_ca_topic_score_codex":0.041172087,"about_ca_topic_score_gemma":0.03419108,"teacher_disagreement_score":0.041172087,"about_ca_system_score_codex":0.0013539231,"about_ca_system_score_gemma":0.00062750676,"threshold_uncertainty_score":0.08186489},"labels":[],"label_agreement":null},{"id":"W2069350451","doi":"10.5539/ass.v11n10p39","title":"Impact Evaluation of Training on Productivity of the Small and Medium Enterprises in Vietnam","year":2015,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministère de l'Énergie et des Ressources Naturelles; International Development Research Centre","keywords":"Productivity; Training (meteorology); Propensity score matching; Matching (statistics); Business; Human capital; Investment (military); Small and medium-sized enterprises; Industrial organization; Finance; Economics; Economic growth","score_opus":0.11256427668687521,"score_gpt":0.3000773743346539,"score_spread":0.1875130976477787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069350451","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":[0.9976972,0.00014760719,0.00026799063,0.00021218779,0.000009037054,0.000010904075,0.00018438062,0.0000028232018,0.0014677327],"genre_scores_gemma":[0.99947053,0.000055102635,0.000050322225,0.000011906273,0.0000033760057,0.0000042532715,0.00007576736,7.0336205e-7,0.0003281515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999171,0.00036910246,0.000033898727,0.00008370005,0.00012294312,0.00021935113],"domain_scores_gemma":[0.99739826,0.00086922245,0.00068604155,0.000116627,0.00030047348,0.0006293511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012650731,0.00016070403,0.00020423176,0.00053191336,0.0002859696,0.0006543707,0.00027257553,0.00017484734,0.0023309584],"category_scores_gemma":[0.004983168,0.000056826462,0.00028200826,0.0007254394,0.00031055306,0.00032540574,0.000686753,0.0003282959,0.00014796878],"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":[0.00022934176,0.00034194265,0.9616131,0.00008992877,0.0001385737,0.00028051907,0.00085963024,0.0021810937,0.00036508302,0.00083624345,0.000519789,0.032544803],"study_design_scores_gemma":[0.000010831436,0.00031290983,0.9930396,0.000043116397,0.000054266377,0.000051942177,0.0020801455,0.0026703447,0.00033464778,0.00033114135,0.0010660944,0.0000048356346],"about_ca_topic_score_codex":0.014047689,"about_ca_topic_score_gemma":0.011947462,"teacher_disagreement_score":0.014047689,"about_ca_system_score_codex":0.0009699894,"about_ca_system_score_gemma":0.0013624694,"threshold_uncertainty_score":0.02793181},"labels":[],"label_agreement":null},{"id":"W2069507627","doi":"10.1080/0034340032000065406","title":"Human Capital, Urbanization and Canadian Provincial Growth","year":2003,"lang":"en","type":"article","venue":"Regional Studies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Human capital; Economics; Urbanization; Per capita; Convergence (economics); Shock (circulatory); Per capita income; Conditional convergence; Nova scotia; Capital (architecture); Demographic economics; Geography; Development economics; Economic growth; Population; Demography; Sociology","score_opus":0.0529618793438398,"score_gpt":0.2218801177727475,"score_spread":0.16891823842890769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069507627","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":[0.87482995,0.010210352,0.0018373121,0.013701622,0.00010778923,0.000060132992,0.014367513,0.000088664834,0.08479659],"genre_scores_gemma":[0.9866117,0.0032436817,0.00044942525,0.0001407146,0.000009112738,0.00000797194,0.0016578817,0.0000073784176,0.007872249],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994777,0.000048960737,0.0000159188,0.000048295955,0.00020953752,0.00019958719],"domain_scores_gemma":[0.99764603,0.0003466656,0.00028414972,0.000081179845,0.0013647864,0.00027715214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008640215,0.00018144751,0.00025965687,0.001509711,0.002379056,0.0015034439,0.0005024559,0.000205651,0.00393784],"category_scores_gemma":[0.004350229,0.000117941694,0.000300678,0.0048714075,0.0009644429,0.00046359395,0.0009358525,0.00051591196,0.00016903045],"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":[0.00017647844,0.0000357422,0.7975792,0.00016920453,0.00010051124,0.00028995573,0.0056035547,0.010626257,0.00023436341,0.079705164,0.030322598,0.07515688],"study_design_scores_gemma":[0.000016552656,0.000018494073,0.94705975,0.0001439527,0.00005888912,0.00006696152,0.004419269,0.0053285826,0.00027342522,0.004781829,0.03780016,0.000032155924],"about_ca_topic_score_codex":0.9970431,"about_ca_topic_score_gemma":0.9977441,"teacher_disagreement_score":0.037290152,"about_ca_system_score_codex":0.037290152,"about_ca_system_score_gemma":0.04597439,"threshold_uncertainty_score":0.27056026},"labels":[],"label_agreement":null},{"id":"W2069557609","doi":"10.5539/ijef.v6n7p94","title":"Energy Productivity Convergence in Asian Countries: A Spatial Panel Data Approach","year":2014,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China Scholarship Council","keywords":"Convergence (economics); Productivity; East Asia; Panel data; Sample (material); Divergence (linguistics); Geography; Economic geography; Economics; Economy; Econometrics; China; Economic growth","score_opus":0.040603397373799775,"score_gpt":0.21697394974994966,"score_spread":0.17637055237614988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069557609","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":[0.9828812,0.0006983599,0.007526845,0.00029005195,0.000019330831,0.000034107492,0.0038250037,0.000037183763,0.0046879607],"genre_scores_gemma":[0.9933641,0.00039676297,0.00163872,0.000042146556,0.000012821518,0.000031947424,0.0039098053,0.000005311435,0.0005984473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894243,0.0005745085,0.00009660617,0.00016024993,0.00012630752,0.000099924524],"domain_scores_gemma":[0.9965012,0.001420868,0.00097180594,0.00039691257,0.0005794084,0.00012984333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023296091,0.00029311172,0.00051027787,0.0019399067,0.00033129443,0.0009190194,0.00043911947,0.00037424557,0.0023258983],"category_scores_gemma":[0.0044964394,0.00020459839,0.0011630782,0.004227521,0.00031335553,0.0007922171,0.0011095712,0.0007469484,0.0003880822],"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":[0.0001601854,0.00007154253,0.93436766,0.00011512475,0.0010508659,0.00042654842,0.00082719326,0.039993007,0.0005310132,0.005184739,0.0016685924,0.015603632],"study_design_scores_gemma":[0.00002867635,0.00017357801,0.8969318,0.00010498,0.0005828822,0.00028454725,0.003443078,0.0863287,0.0011100557,0.0037902603,0.007172276,0.000049099588],"about_ca_topic_score_codex":0.028510498,"about_ca_topic_score_gemma":0.016796408,"teacher_disagreement_score":0.028510498,"about_ca_system_score_codex":0.00051004323,"about_ca_system_score_gemma":0.00043880183,"threshold_uncertainty_score":0.056689143},"labels":[],"label_agreement":null},{"id":"W2069838843","doi":"10.2202/1935-1690.1761","title":"Africa: Is Aid an Answer?","year":2008,"lang":"en","type":"article","venue":"The B E Journal of Macroeconomics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Economics; Counterfactual thinking; Economic stagnation; Aid effectiveness; Optimism; Imperfect; Subsidy; Macroeconomics; Politics; Developing country; Economic growth; Political science; Market economy","score_opus":0.058411940554122355,"score_gpt":0.2170938955362577,"score_spread":0.15868195498213536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069838843","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07050894,0.07676128,0.029524244,0.67785615,0.0037935323,0.000082893755,0.00092585507,0.00017167519,0.14037544],"genre_scores_gemma":[0.86697334,0.0744115,0.008666926,0.03485407,0.0023096774,0.00009313034,0.0002667182,0.000081379294,0.012343138],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99874663,0.00071331975,0.000032854165,0.00012710581,0.000137379,0.00024260642],"domain_scores_gemma":[0.99337935,0.004143737,0.0009583105,0.00028368994,0.00075740303,0.00047754374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032537575,0.0005275435,0.00072476396,0.0012022783,0.00144105,0.0046899104,0.00076926843,0.0028169856,0.012646396],"category_scores_gemma":[0.01690197,0.00016304175,0.00032491903,0.0022675702,0.0035655454,0.0073179724,0.0028822662,0.0030275674,0.0010955522],"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":[0.000148457,0.00007238225,0.008053352,0.001451538,0.00009666788,0.0006105899,0.0011180518,0.0066371285,0.00045955263,0.8299,0.03390033,0.11755183],"study_design_scores_gemma":[0.000062798295,0.00012384074,0.0028690977,0.0022562284,0.00010138818,0.0007546744,0.0042577144,0.005584216,0.00072118756,0.6939058,0.28931692,0.00004627648],"about_ca_topic_score_codex":0.003246624,"about_ca_topic_score_gemma":0.0027630252,"teacher_disagreement_score":0.012646396,"about_ca_system_score_codex":0.0018892079,"about_ca_system_score_gemma":0.0030997498,"threshold_uncertainty_score":0.042306423},"labels":[],"label_agreement":null},{"id":"W2071263254","doi":"10.1016/j.strueco.2004.05.001","title":"Engineering and economic growth","year":2004,"lang":"en","type":"article","venue":"Structural Change and Economic Dynamics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":93,"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":"Romer; Cornerstone; Economics; Growth accounting; Neoclassical economics; Solow residual; Growth theory; Productivity; Simple (philosophy); Growth model; Macroeconomics; Mathematical economics; Keynesian economics; Classical economics; Total factor productivity","score_opus":0.01955709788011246,"score_gpt":0.18845498876722114,"score_spread":0.1688978908871087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071263254","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":[0.036579262,0.15854432,0.01851193,0.094821416,0.0037293143,0.00003605029,0.0003135572,0.00014403678,0.6873201],"genre_scores_gemma":[0.723175,0.09165735,0.0044791494,0.0054957066,0.0039489223,0.00006597864,0.00022866447,0.0000707195,0.17087854],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996401,0.00012934525,0.00001665647,0.00006212377,0.000115646944,0.000036161975],"domain_scores_gemma":[0.99912554,0.00045705462,0.00008906326,0.00011504513,0.00016926916,0.000044014854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000699081,0.00046077868,0.00041413447,0.0010411211,0.00083114364,0.0036937394,0.00025948882,0.0014509659,0.0127334455],"category_scores_gemma":[0.0027529686,0.00012159766,0.00015050711,0.001925007,0.0029997833,0.0031998223,0.0010363967,0.0017982577,0.0018967186],"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":[0.000008920511,0.00002665846,0.00062918494,0.000083541076,0.0000075031608,0.00003482846,0.000265138,0.0013195554,0.00012964924,0.9336505,0.01926194,0.04458253],"study_design_scores_gemma":[0.0000050769413,0.000012486696,0.0008907719,0.000082143764,0.000004663815,0.000068220346,0.00024179938,0.00079658616,0.00015011504,0.83086705,0.16687557,0.0000055367327],"about_ca_topic_score_codex":0.002670813,"about_ca_topic_score_gemma":0.0028954134,"teacher_disagreement_score":0.0127334455,"about_ca_system_score_codex":0.0016696063,"about_ca_system_score_gemma":0.0010533805,"threshold_uncertainty_score":0.04259765},"labels":[],"label_agreement":null},{"id":"W2072009250","doi":"10.5539/ijef.v3n5p140","title":"Stock Market Development and Economic Growth in Zimbabwe","year":2011,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market capitalization; Stock market; Economics; Stock market bubble; Growth stock; Granger causality; Primary market; Restricted stock; Market depth; Market maker; Monetary economics; Financial economics; Unit root; Stock exchange; Stock (firearms); Econometrics; Finance","score_opus":0.033647288587164904,"score_gpt":0.20353170133775197,"score_spread":0.16988441275058708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072009250","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":[0.99623907,0.0013093647,0.00008638304,0.00045771166,0.0000062590466,0.000008069661,0.00032802363,0.000002257533,0.0015628649],"genre_scores_gemma":[0.99883515,0.0007556842,0.000051841856,0.000013536854,0.000005055879,0.0000028646766,0.00012389822,3.68013e-7,0.00021169467],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990296,0.000020575522,0.000009566846,0.000011395613,0.000016648208,0.000038781105],"domain_scores_gemma":[0.9993333,0.00018117896,0.0003348619,0.00001725309,0.00008392827,0.0000494106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002397593,0.00015148777,0.00012233816,0.0012536544,0.000284983,0.00085010834,0.000092562244,0.0001590218,0.001413069],"category_scores_gemma":[0.0017627975,0.00011254382,0.00015605912,0.0020004467,0.00027329454,0.00061962573,0.00038833034,0.00036062166,0.00008202845],"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":[0.00003603408,0.000018563265,0.98572844,0.000059017962,0.00004448936,0.00039700308,0.00090179965,0.00048984826,0.0005699055,0.0019661784,0.00026781333,0.009521057],"study_design_scores_gemma":[0.0000016068848,0.000007143743,0.99792516,0.000028869375,0.000009793511,0.000032810894,0.00042554724,0.0006311009,0.00006676674,0.00015636657,0.0007128071,0.0000020606499],"about_ca_topic_score_codex":0.08436642,"about_ca_topic_score_gemma":0.113888234,"teacher_disagreement_score":0.08436642,"about_ca_system_score_codex":0.0010280767,"about_ca_system_score_gemma":0.00049429055,"threshold_uncertainty_score":0.16775072},"labels":[],"label_agreement":null},{"id":"W2075872823","doi":"10.1007/bf02707424","title":"Technological Adaptation, Trade, and Growth","year":2000,"lang":"en","type":"article","venue":"Review of World Economics","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":"University of Ottawa","funders":"","keywords":"Grossman; Economics; Endogenous growth theory; Human capital; Work (physics); Technological change; Panel data; Growth model; Adaptation (eye); Industrial organization; Econometrics; Microeconomics; Macroeconomics; Engineering; Market economy; Keynesian economics","score_opus":0.030953552827404855,"score_gpt":0.20836003053175461,"score_spread":0.17740647770434975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075872823","genre_codex":"review","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":[0.005313261,0.9749879,0.0010714117,0.00928151,0.00073559623,0.000004876896,0.00011023368,0.000017622608,0.008477572],"genre_scores_gemma":[0.04498043,0.9494257,0.00045169934,0.00067183276,0.0024763395,0.00000639323,0.00009919064,0.000004494417,0.0018839554],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995223,0.0001802934,0.00003650617,0.00008362581,0.00013450425,0.000042753414],"domain_scores_gemma":[0.99782383,0.0014016234,0.00028205916,0.000105313215,0.0002940948,0.00009318211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013873699,0.00057218433,0.0007392404,0.0025699537,0.0004526743,0.0037362399,0.0004499616,0.0018307318,0.0029574092],"category_scores_gemma":[0.0050281063,0.00021964363,0.00031446374,0.008996854,0.002358883,0.0034042734,0.00062463427,0.0017826757,0.0007341925],"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":[0.00013992525,0.00022573501,0.015085772,0.003643284,0.000381723,0.00031301758,0.00031369206,0.010564974,0.00078796054,0.2169038,0.08032062,0.67131954],"study_design_scores_gemma":[0.00004027367,0.00009805061,0.041981563,0.0021108065,0.00023588374,0.0005629673,0.00092655513,0.0033382415,0.00032553458,0.52706826,0.42324153,0.00007026231],"about_ca_topic_score_codex":0.0039530164,"about_ca_topic_score_gemma":0.004777963,"teacher_disagreement_score":0.0039530164,"about_ca_system_score_codex":0.0011999764,"about_ca_system_score_gemma":0.0018065717,"threshold_uncertainty_score":0.009893477},"labels":[],"label_agreement":null},{"id":"W2076258362","doi":"10.4236/ti.2013.43b001","title":"Assessing Some Determinants of the Regional Patenting: An Essay from the Mexican States","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economies of agglomeration; Panel data; Work (physics); Estimator; Economics; Process (computing); Set (abstract data type); Population; Economic geography; Regional science; Demographic economics; Economic growth; Econometrics; Geography; Sociology; Computer science; Engineering; Mathematics; Demography; Statistics","score_opus":0.04621047902453687,"score_gpt":0.23240731372055604,"score_spread":0.18619683469601916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076258362","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":[0.93028337,0.018920513,0.0011465803,0.016470395,0.00004622171,0.000009252015,0.0003090419,0.000009547654,0.03280499],"genre_scores_gemma":[0.99388015,0.004644619,0.00018033951,0.00011026256,0.000058103902,0.0000021760545,0.000064546686,0.0000023138944,0.0010575374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981195,0.00006630206,0.000010617084,0.000043748532,0.000034305787,0.000033132557],"domain_scores_gemma":[0.9982589,0.0010503083,0.00037283904,0.00007538831,0.00019987815,0.000042671487],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0009713952,0.0001367158,0.0002269793,0.0008591658,0.00061577046,0.0017914481,0.0002795407,0.0003948153,0.0022458707],"category_scores_gemma":[0.0026471347,0.00010416098,0.00038796163,0.0015035378,0.00073616713,0.00097213214,0.00041659453,0.00044791598,0.00009022824],"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":[0.00031425446,0.00028468395,0.54207796,0.00074272073,0.00044593532,0.002193719,0.01434603,0.009016654,0.0032486927,0.2253061,0.016046716,0.1859765],"study_design_scores_gemma":[0.000025725085,0.00013787101,0.85041696,0.0004873295,0.0005560539,0.0003506894,0.021243766,0.0068080826,0.00182926,0.036044717,0.08205318,0.000046336914],"about_ca_topic_score_codex":0.02188787,"about_ca_topic_score_gemma":0.013163926,"teacher_disagreement_score":0.99914086,"about_ca_system_score_codex":0.0013189537,"about_ca_system_score_gemma":0.00059968734,"threshold_uncertainty_score":0.043520927},"labels":[],"label_agreement":null},{"id":"W2076605162","doi":"10.1006/redy.2002.0189","title":"Population Growth, Technological Adoption, and Economic Outcomes in the Information Era","year":2002,"lang":"en","type":"article","venue":"Review of Economic Dynamics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":28,"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 British Columbia","funders":"","keywords":"Economics; Scarcity; Technological change; Population; Wage; Population growth; Human capital; Labour economics; Service (business); Production (economics); Information technology; Economic growth; Macroeconomics; Market economy; Economy","score_opus":0.019723412293735365,"score_gpt":0.21750171282353895,"score_spread":0.19777830052980358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076605162","genre_codex":"review","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":[0.09748663,0.86012506,0.0030422402,0.021190928,0.00043390304,0.000014221956,0.00035292975,0.000018430961,0.017335609],"genre_scores_gemma":[0.33728078,0.6568914,0.00064623763,0.0008514074,0.0021985713,0.000017504899,0.00016982834,0.0000057767274,0.0019384291],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995153,0.00019040157,0.00003597657,0.00008333066,0.00012681955,0.000048235444],"domain_scores_gemma":[0.993916,0.0042800694,0.00092599815,0.00010814885,0.0005948329,0.00017512422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016392228,0.0003238521,0.00063654874,0.0018338776,0.00030810328,0.002267183,0.00042799237,0.0014493287,0.0016876094],"category_scores_gemma":[0.007439262,0.00019579694,0.0002698993,0.0048355856,0.0015989131,0.0027487224,0.00053271145,0.0013591982,0.00027695735],"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":[0.00034965982,0.00043752918,0.14007163,0.0030864584,0.00061714515,0.0006989259,0.0009381637,0.018645074,0.0009784732,0.18160753,0.022853998,0.6297153],"study_design_scores_gemma":[0.000081123675,0.00034579908,0.4156822,0.002034477,0.00058327225,0.0012536919,0.002355313,0.013720978,0.0009079978,0.39355573,0.16932942,0.00014997838],"about_ca_topic_score_codex":0.0043353634,"about_ca_topic_score_gemma":0.0047537787,"teacher_disagreement_score":0.0043353634,"about_ca_system_score_codex":0.00088060077,"about_ca_system_score_gemma":0.000800423,"threshold_uncertainty_score":0.008669138},"labels":[],"label_agreement":null},{"id":"W2077769298","doi":"10.1016/j.jbusvent.2008.10.002","title":"Entrepreneurial types and economic growth","year":2008,"lang":"en","type":"article","venue":"Journal of Business Venturing","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":203,"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 Waterloo","funders":"National Science Foundation","keywords":"Economics; Competition (biology); Distribution (mathematics); China; Product (mathematics); Consumption (sociology)","score_opus":0.025344042851020366,"score_gpt":0.18451220688379075,"score_spread":0.15916816403277037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077769298","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":[0.9728774,0.001467133,0.00080502627,0.0015224761,0.000088894936,0.000013125639,0.00017216781,0.000017312384,0.023036575],"genre_scores_gemma":[0.99716896,0.00037147492,0.00013158335,0.0000351168,0.00008002923,0.000003660032,0.00005854242,0.000003656812,0.0021470427],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997681,0.000091077134,0.000023084218,0.000020490508,0.000038703318,0.00005845292],"domain_scores_gemma":[0.9863036,0.007893874,0.0025429556,0.0005372218,0.00048520687,0.0022370692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013727433,0.00017251627,0.00028521023,0.0011805901,0.00046965314,0.0028775353,0.00023119367,0.00058384833,0.008528342],"category_scores_gemma":[0.009549851,0.0001296527,0.0002161175,0.0011049369,0.0008104244,0.0017702567,0.00096630584,0.0010175408,0.0007329118],"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":[0.0006517625,0.00068042986,0.8863662,0.00007398072,0.00011771604,0.00056527584,0.001395599,0.0020317554,0.00051015307,0.052472476,0.0030158926,0.052118704],"study_design_scores_gemma":[0.0000871795,0.00017848535,0.8409035,0.00010481711,0.00011139352,0.0007696855,0.003950601,0.004815698,0.00042424144,0.13757718,0.011042246,0.000034985103],"about_ca_topic_score_codex":0.0004933491,"about_ca_topic_score_gemma":0.00060450507,"teacher_disagreement_score":0.008528342,"about_ca_system_score_codex":0.00021333275,"about_ca_system_score_gemma":0.00025355036,"threshold_uncertainty_score":0.02853018},"labels":[],"label_agreement":null},{"id":"W2078228738","doi":"10.1016/j.jpolmod.2014.12.001","title":"The impact of trade openness on growth: The case of Kenya","year":2015,"lang":"en","type":"article","venue":"Journal of Policy Modeling","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":228,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Openness to experience; Economics; Investment (military); International economics; Monetary economics; Causality (physics); Granger causality; Capital (architecture); Econometrics","score_opus":0.1146917590590173,"score_gpt":0.3133927040331264,"score_spread":0.19870094497410912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078228738","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":[0.96774966,0.0011300921,0.0004174208,0.003660874,0.000017869497,0.000017643904,0.00022342658,0.000007962278,0.026774973],"genre_scores_gemma":[0.9978592,0.00073611335,0.000092553484,0.000046013294,0.000006080376,0.000004598822,0.000034701967,0.0000024362512,0.0012183575],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999798,0.00006981464,0.0000072596054,0.00001337351,0.000010551467,0.00010096708],"domain_scores_gemma":[0.9986399,0.0008746796,0.00020938645,0.000024797162,0.00008859717,0.0001627014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007412759,0.0002772665,0.00036496547,0.00064683915,0.0018294939,0.0022981402,0.00041322567,0.0017210838,0.006936854],"category_scores_gemma":[0.002323723,0.00017149288,0.00040210152,0.0011884515,0.0014802945,0.0022911602,0.0012302146,0.0015277417,0.00020953758],"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":[0.0023923055,0.00089506153,0.19643912,0.0007148176,0.0002465608,0.016737226,0.0055553005,0.18587473,0.0036358342,0.5315594,0.011647947,0.044301648],"study_design_scores_gemma":[0.0009312121,0.00079502765,0.3319955,0.0011066293,0.0010665932,0.0029640014,0.06220055,0.27091855,0.005382259,0.2754772,0.046807047,0.0003553592],"about_ca_topic_score_codex":0.10324516,"about_ca_topic_score_gemma":0.1567158,"teacher_disagreement_score":0.10324516,"about_ca_system_score_codex":0.003111621,"about_ca_system_score_gemma":0.0019123836,"threshold_uncertainty_score":0.20528841},"labels":[],"label_agreement":null},{"id":"W2079156991","doi":"10.5539/ijef.v6n1p66","title":"Governance and Economic Convergence in the Mediterranean Arab Countries","year":2013,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corporate governance; Convergence (economics); Per capita; Openness to experience; Economics; Incentive; Gross domestic product; Panel data; Economic system; Politics; Economy; Market economy; Macroeconomics; Political science","score_opus":0.019458016469596037,"score_gpt":0.20979656161564836,"score_spread":0.1903385451460523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079156991","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":[0.98377013,0.0006922194,0.002690746,0.00069905625,0.0000125217075,0.000015783895,0.000052083753,0.000017589577,0.012049857],"genre_scores_gemma":[0.99872607,0.00028155113,0.00033846154,0.000023084516,0.0000064707715,0.0000073381293,0.000030817642,0.0000019296879,0.00058416364],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996476,0.00017430719,0.000015859405,0.000050720235,0.00003486922,0.00007659609],"domain_scores_gemma":[0.9993685,0.00016492675,0.0002298193,0.00004108916,0.00010470633,0.000090962276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010133422,0.00024517305,0.0004651734,0.0011305312,0.00047965534,0.0017693755,0.00020795109,0.00033262078,0.0019073708],"category_scores_gemma":[0.0023564277,0.00015588407,0.00028395103,0.00096520357,0.0009835436,0.0009321181,0.0011179737,0.00041285067,0.00017236189],"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":[0.00045203083,0.00052847737,0.38437304,0.00019812686,0.00034906957,0.002061218,0.0053528952,0.17495371,0.0014664906,0.35261476,0.004584578,0.07306561],"study_design_scores_gemma":[0.00042762823,0.00038924522,0.45540553,0.00043046562,0.00022036224,0.0007357203,0.0095794415,0.32343525,0.0012731635,0.18522085,0.02279908,0.000083297935],"about_ca_topic_score_codex":0.007861972,"about_ca_topic_score_gemma":0.0042618476,"teacher_disagreement_score":0.007861972,"about_ca_system_score_codex":0.001159792,"about_ca_system_score_gemma":0.00051431597,"threshold_uncertainty_score":0.015632391},"labels":[],"label_agreement":null},{"id":"W2080341884","doi":"10.1111/j.1744-7976.2011.01241.x","title":"The Driving Forces of Agricultural Decline:A Panel‐Data Approach to the Italian Regional Growth","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Agriculture; Panel data; Welfare economics; Gross domestic product; Humanities; Economy; Geography; Econometrics; Macroeconomics; Philosophy","score_opus":0.07027151175386845,"score_gpt":0.1831783730913894,"score_spread":0.11290686133752095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080341884","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":[0.95441586,0.0026977933,0.023395272,0.0025559177,0.00005571407,0.000075084885,0.0089204945,0.00015467426,0.007729127],"genre_scores_gemma":[0.98727906,0.0010938424,0.003987263,0.00011112815,0.00007933931,0.00008039083,0.005651716,0.000024187526,0.0016931864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946946,0.00030427153,0.00001639506,0.00011584695,0.00003923841,0.000054838256],"domain_scores_gemma":[0.99890494,0.00060109905,0.00026437122,0.00013045804,0.000057272955,0.000041848914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012921663,0.00043523023,0.00047335817,0.0011008002,0.00028306717,0.0008979933,0.00051654817,0.00072304724,0.0015843335],"category_scores_gemma":[0.0025503412,0.00022398308,0.000911695,0.001950098,0.00025505092,0.00040270647,0.0006245944,0.00082622457,0.00032438265],"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":[0.00032373465,0.00027858504,0.57487476,0.00027240452,0.0013670139,0.0012166156,0.0010167348,0.33694357,0.0020776724,0.019283293,0.010280822,0.05206486],"study_design_scores_gemma":[0.000053933065,0.00017414217,0.50409037,0.0000926402,0.0004889528,0.00019742125,0.00066469965,0.46697682,0.00068495655,0.006165236,0.020336088,0.000074782736],"about_ca_topic_score_codex":0.06853274,"about_ca_topic_score_gemma":0.033779427,"teacher_disagreement_score":0.06853274,"about_ca_system_score_codex":0.0010171313,"about_ca_system_score_gemma":0.00045225074,"threshold_uncertainty_score":0.13626766},"labels":[],"label_agreement":null},{"id":"W2080417326","doi":"10.1017/s0022050706260200","title":"The Geography of Invention in High- and Low-Technology Industries: Evidence from the Second Industrial Revolution","year":2006,"lang":"en","type":"article","venue":"The Journal of Economic History","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Productivity; Economic geography; Industrial Revolution; Technological change; Space (punctuation); Technological revolution; Economics; Geography; Economic growth; Economy; Macroeconomics","score_opus":0.03623318966304551,"score_gpt":0.19085012911580976,"score_spread":0.15461693945276425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080417326","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":[0.97974145,0.0056131226,0.00017888748,0.002114615,0.000019431678,0.000006944077,0.00042308052,0.0000047945327,0.011897723],"genre_scores_gemma":[0.9963403,0.002317571,0.0000678462,0.00012889899,0.00003894237,0.0000049376367,0.00034797148,0.0000051802126,0.00074835616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900275,0.000334455,0.00006493768,0.00017771107,0.00017583292,0.0002444108],"domain_scores_gemma":[0.9854859,0.004258476,0.0064693005,0.0010732954,0.0013362855,0.0013765807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015142708,0.00017233181,0.00057187,0.002566962,0.0010018331,0.002450383,0.0006348584,0.0007793679,0.0045979912],"category_scores_gemma":[0.0097752875,0.0002663958,0.00040058146,0.0052513015,0.0026890852,0.0019184329,0.0026835394,0.0012190987,0.0007783959],"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":[0.0007465031,0.00020602405,0.93033856,0.000322669,0.0002997975,0.00079463405,0.017692974,0.0010782583,0.000789679,0.016273785,0.0037336424,0.027723435],"study_design_scores_gemma":[0.000032207718,0.000065549284,0.9818573,0.00011881311,0.00006852585,0.00024183912,0.0067020217,0.00014275286,0.00015465175,0.0025563394,0.008043431,0.000016611937],"about_ca_topic_score_codex":0.020466762,"about_ca_topic_score_gemma":0.024209991,"teacher_disagreement_score":0.020466762,"about_ca_system_score_codex":0.0009999488,"about_ca_system_score_gemma":0.0006786641,"threshold_uncertainty_score":0.04069531},"labels":[],"label_agreement":null},{"id":"W2081320718","doi":"10.1007/s10887-013-9095-z","title":"Catch-up and fall-back through innovation and imitation","year":2013,"lang":"en","type":"article","venue":"Journal of Economic Growth","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":105,"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 British Columbia","funders":"","keywords":"Imitation; Frontier; Productivity; Economics; Incentive; Endogenous growth theory; Efficient frontier; Industrial organization; Microeconomics; Market economy; Macroeconomics; Human capital; Financial economics","score_opus":0.039048360762233246,"score_gpt":0.22552681716985568,"score_spread":0.18647845640762242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081320718","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":[0.82988286,0.0019305426,0.047572117,0.005426274,0.00015157362,0.00007365561,0.00026213386,0.0004456195,0.11425523],"genre_scores_gemma":[0.9853544,0.0002720352,0.0012251097,0.00010848101,0.000028629973,0.000014673608,0.00003227223,0.00003002044,0.012934382],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99908555,0.00018627495,0.000045955974,0.00018688454,0.0001410446,0.00035428643],"domain_scores_gemma":[0.9917645,0.004349425,0.0012447159,0.0013358737,0.00049996783,0.0008055624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018217595,0.0004234548,0.0011136137,0.0011975089,0.0014149117,0.003861791,0.0011433118,0.0028485574,0.021948239],"category_scores_gemma":[0.016558215,0.00047760023,0.001012383,0.0009796796,0.0037125612,0.0070094317,0.0036164736,0.0021110836,0.0016492215],"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":[0.0006453185,0.00030438357,0.027535396,0.00031078616,0.0002465794,0.0023381563,0.0039541386,0.026260898,0.0038915144,0.82196087,0.008688942,0.10386314],"study_design_scores_gemma":[0.00007593143,0.00017801642,0.014682638,0.00008756573,0.00010938068,0.0005655683,0.003569402,0.03896662,0.001164584,0.9331038,0.0074292016,0.00006734033],"about_ca_topic_score_codex":0.0037141298,"about_ca_topic_score_gemma":0.0027697377,"teacher_disagreement_score":0.021948239,"about_ca_system_score_codex":0.0011904166,"about_ca_system_score_gemma":0.001059854,"threshold_uncertainty_score":0.07342422},"labels":[],"label_agreement":null},{"id":"W2081345236","doi":"10.5430/rwe.v1n1p56","title":"A Note on the Drivers of R&amp;D Intensity","year":2010,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; R&D intensity; Panel data; Econometric model; Econometric analysis; Aggregate (composite); Economic geography; Agricultural economics; Econometrics; Management","score_opus":0.1313458150756829,"score_gpt":0.31592923302238685,"score_spread":0.18458341794670394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081345236","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":[0.9223648,0.004962245,0.007334198,0.0073042638,0.00011880726,0.0000995088,0.007395783,0.00025648056,0.050163906],"genre_scores_gemma":[0.99128133,0.0009867073,0.0015001869,0.0002890751,0.00007513487,0.000021472088,0.0028612227,0.00005226834,0.0029326174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99675363,0.0007723207,0.00035097988,0.00058307225,0.00093709887,0.00060277537],"domain_scores_gemma":[0.9742396,0.011546547,0.008081,0.0018514342,0.0029944861,0.0012869217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037106269,0.00030744923,0.00064940104,0.0031984127,0.0006932681,0.0038897956,0.0005817417,0.0003932984,0.006852651],"category_scores_gemma":[0.016052622,0.0003363736,0.0009069813,0.0056624315,0.00067722745,0.0016088869,0.0016057449,0.0013430415,0.0017179782],"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":[0.00010247123,0.00004317754,0.95915985,0.000114228606,0.00024475277,0.00015964155,0.0002990189,0.0016415173,0.00090671267,0.0067935353,0.0030206265,0.027514387],"study_design_scores_gemma":[0.0000093210965,0.0000635622,0.98189235,0.00005074091,0.000074941236,0.00013599098,0.00077458133,0.0010310116,0.0009841163,0.0024424102,0.012512203,0.000028812787],"about_ca_topic_score_codex":0.00820653,"about_ca_topic_score_gemma":0.009496548,"teacher_disagreement_score":0.00820653,"about_ca_system_score_codex":0.00097689,"about_ca_system_score_gemma":0.0013560911,"threshold_uncertainty_score":0.022924423},"labels":[],"label_agreement":null},{"id":"W2081545194","doi":"10.1111/1467-8454.00159","title":"The Australian Business Cycle: Joe Palooka or Dead Cat Bounce?","year":2002,"lang":"en","type":"article","venue":"Australian Economic Papers","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":17,"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":"Business cycle; Economics; Asymmetry; Keynesian economics; Physics","score_opus":0.0505832365139238,"score_gpt":0.22592725151857265,"score_spread":0.17534401500464886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081545194","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3233278,0.053232726,0.00754246,0.43245104,0.0059540095,0.00006723191,0.0009276044,0.00019675841,0.17630044],"genre_scores_gemma":[0.88370335,0.022239277,0.001749518,0.020642068,0.0013374371,0.00003132855,0.00020823021,0.00011015666,0.06997864],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996265,0.0001099483,0.000020118587,0.00006157456,0.00011769067,0.00006408391],"domain_scores_gemma":[0.9980819,0.00048027682,0.00038229453,0.00019996338,0.00052165485,0.00033390973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010625401,0.00016234754,0.00027687976,0.00064030936,0.0014586749,0.0036832744,0.00033309645,0.0009472119,0.005950485],"category_scores_gemma":[0.010592464,0.00017728019,0.00016451518,0.0013277321,0.002024125,0.004382445,0.0012162392,0.0016530078,0.0009945963],"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":[0.00028520756,0.00010168153,0.039863266,0.00070058287,0.00008048658,0.00074653473,0.016701762,0.00221256,0.0011157093,0.41999757,0.20445637,0.31373823],"study_design_scores_gemma":[0.000021888627,0.00007018911,0.10127306,0.0007411019,0.00004837825,0.00044718702,0.0069199787,0.0067244903,0.0004505487,0.23259273,0.65063447,0.00007597385],"about_ca_topic_score_codex":0.04288307,"about_ca_topic_score_gemma":0.04710723,"teacher_disagreement_score":0.04288307,"about_ca_system_score_codex":0.0023983982,"about_ca_system_score_gemma":0.0024228147,"threshold_uncertainty_score":0.08526695},"labels":[],"label_agreement":null},{"id":"W2083041068","doi":"10.1111/j.1749-124x.2013.12017.x","title":"Demographic Origins of the Great Recession: Implications for China","year":2013,"lang":"en","type":"article","venue":"China & World Economy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Demographic dividend; Recession; China; Demographic economics; Economics; Population; Baby boom; Working population; Great Depression; Great recession; Population ageing; Boom; Development economics; Dividend; Age structure; Demography; Labour economics; Geography; Macroeconomics; Sociology","score_opus":0.022599365864407348,"score_gpt":0.21932872559507952,"score_spread":0.19672935973067218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083041068","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":[0.96253663,0.0018308985,0.0004980767,0.018506793,0.000053502048,0.00002137317,0.00073591777,0.0000153738,0.015801487],"genre_scores_gemma":[0.9962597,0.0015548477,0.000090568516,0.00047885554,0.000042868367,0.000007136903,0.00017050208,0.000002162763,0.0013934848],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993134,0.000012451081,0.0000031939712,0.000008461861,0.000011287191,0.000033200282],"domain_scores_gemma":[0.9996092,0.000052679505,0.00011887722,0.000016332397,0.00009238403,0.00011053799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005031694,0.0001542589,0.00020080955,0.00086238096,0.00067634543,0.00070143334,0.00024288129,0.00032862718,0.0023438346],"category_scores_gemma":[0.0008104314,0.00007290848,0.0002426716,0.0013434534,0.0005120424,0.00052454683,0.00075474725,0.00053249724,0.00009727687],"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":[0.00020634843,0.00007759503,0.8156357,0.00022379158,0.000055208922,0.0027524128,0.0067209387,0.009504912,0.0014060115,0.08975299,0.015777534,0.057886545],"study_design_scores_gemma":[0.000012873104,0.00004918274,0.9533007,0.00013232666,0.00003621956,0.00013560923,0.0069937417,0.010223688,0.00029279722,0.0137748495,0.015018922,0.000029049272],"about_ca_topic_score_codex":0.12379199,"about_ca_topic_score_gemma":0.10950499,"teacher_disagreement_score":0.12379199,"about_ca_system_score_codex":0.0030004722,"about_ca_system_score_gemma":0.0022904517,"threshold_uncertainty_score":0.24614286},"labels":[],"label_agreement":null},{"id":"W2084971934","doi":"10.1080/00343400050192810","title":"New Evidence of Convergence Across Canadian Provinces: The Role of Urbanization","year":2000,"lang":"en","type":"article","venue":"Regional Studies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Convergence (economics); Urbanization; Geography; Per capita; Per capita income; Humanities; Economy; Political science; Economics; Demography; Population; Economic growth; Sociology; Art","score_opus":0.06737075250445797,"score_gpt":0.2555099399081559,"score_spread":0.18813918740369795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084971934","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":[0.909183,0.011192279,0.0026460357,0.008421973,0.00007707794,0.00005381888,0.0039172913,0.00005674516,0.06445177],"genre_scores_gemma":[0.99501884,0.0017479542,0.0004778905,0.00017614492,0.000010581968,0.000005956673,0.000538059,0.000009033757,0.0020155415],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977817,0.00023263808,0.00013104062,0.0003605441,0.0008530445,0.000640996],"domain_scores_gemma":[0.9857324,0.0030858808,0.0014851196,0.0008264477,0.007992746,0.0008774975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002989683,0.00027895844,0.0007432966,0.003952594,0.0033992508,0.0023194486,0.0012645002,0.0004939366,0.005214065],"category_scores_gemma":[0.018123189,0.0002955832,0.0006592677,0.008535509,0.0028461881,0.0014631734,0.0023015365,0.0010502702,0.00022589978],"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":[0.0002775845,0.00002544885,0.8661415,0.00030119633,0.00019999573,0.00053497695,0.01146321,0.0042860177,0.0002977561,0.036692962,0.006768115,0.0730113],"study_design_scores_gemma":[0.000017848603,0.000021585012,0.9746045,0.00018224369,0.00012436809,0.00007585638,0.007617478,0.0021092498,0.00017027173,0.0029328403,0.012112709,0.000031071304],"about_ca_topic_score_codex":0.98960274,"about_ca_topic_score_gemma":0.9911028,"teacher_disagreement_score":0.02540599,"about_ca_system_score_codex":0.02540599,"about_ca_system_score_gemma":0.0345848,"threshold_uncertainty_score":0.18433422},"labels":[],"label_agreement":null},{"id":"W2086702917","doi":"10.1111/j.1465-7295.2012.00454.x","title":"GROWTH AND CONVERGENCE WHEN TECHNOLOGY AND HUMAN CAPITAL ARE COMPLEMENTS","year":2012,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Economics; Human capital; Stock (firearms); Endogenous growth theory; Physical capital; Per capita; Capital deepening; Monetary economics; Production (economics); Productivity; Capital Consumption Allowance; Capital intensity; Financial capital; Macroeconomics; Capital formation; Market economy","score_opus":0.05261347853517415,"score_gpt":0.2471955107129498,"score_spread":0.19458203217777564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086702917","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":[0.6581858,0.0024994363,0.08249466,0.010647286,0.00026540065,0.00008913935,0.0005802065,0.00031434916,0.24492374],"genre_scores_gemma":[0.9760265,0.0011227792,0.0020233765,0.00022040278,0.00012593732,0.000057402693,0.0001099709,0.000029974819,0.020283729],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99927264,0.00025008,0.000027765574,0.00012999504,0.00008922124,0.00023034622],"domain_scores_gemma":[0.9960794,0.0019364371,0.0008182557,0.000306025,0.00038301968,0.00047687415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015530976,0.0008140194,0.001218238,0.0015804658,0.0009949768,0.004177133,0.0006759127,0.002108299,0.012490375],"category_scores_gemma":[0.008806504,0.00044766374,0.0010297358,0.0014917857,0.0027967575,0.0051719444,0.0033395549,0.0016564487,0.0015485965],"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":[0.0002166866,0.00011732845,0.008123049,0.00011658217,0.00007808251,0.001483187,0.0008743279,0.1039453,0.00048194572,0.8630921,0.003943341,0.017528182],"study_design_scores_gemma":[0.00016324005,0.0000839707,0.0040615923,0.00010141529,0.000056257053,0.00066602224,0.0010867529,0.15474351,0.00023136195,0.8279993,0.010762918,0.00004360183],"about_ca_topic_score_codex":0.0072427336,"about_ca_topic_score_gemma":0.0027121827,"teacher_disagreement_score":0.012490375,"about_ca_system_score_codex":0.0017883742,"about_ca_system_score_gemma":0.0010759619,"threshold_uncertainty_score":0.041784406},"labels":[],"label_agreement":null},{"id":"W2086798716","doi":"10.1016/j.asieco.2008.05.007","title":"The transition from imitation to innovation: An enquiry into China's evolving institutions and firm capabilities","year":2008,"lang":"en","type":"article","venue":"Journal of Asian Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":24,"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":"Imitation; Incentive; Business; Industrial organization; Competition (biology); Productivity; China; Product (mathematics); Investment (military); Variety (cybernetics); Product innovation; Transition economy; Market economy; Marketing; Economics; Economic growth","score_opus":0.04159337130319837,"score_gpt":0.23171493149540776,"score_spread":0.19012156019220938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086798716","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":[0.9519708,0.0020808214,0.0010754119,0.008707785,0.000031295658,0.000018294262,0.000042246662,0.000007745791,0.03606551],"genre_scores_gemma":[0.99904925,0.00033283888,0.00009101824,0.000077928984,0.000007280123,0.0000015898164,0.0000034153643,8.9881615e-7,0.00043576138],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99971014,0.000067999164,0.00001936814,0.000040629144,0.000052975793,0.000108791464],"domain_scores_gemma":[0.9984894,0.00068236724,0.0002903156,0.00013417356,0.00024154581,0.00016227463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018824269,0.00010686015,0.00017592295,0.0008197587,0.0009804056,0.0022669057,0.0004962743,0.0008591801,0.0016982759],"category_scores_gemma":[0.0029672524,0.00010960198,0.00023532243,0.0011738713,0.003742251,0.0037467375,0.0010099765,0.0008752904,0.00005414403],"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":[0.00017990278,0.000052615527,0.09938185,0.00021044946,0.00005711721,0.001021748,0.025074834,0.003425616,0.0025562139,0.7689789,0.0023709738,0.09668966],"study_design_scores_gemma":[0.00004998383,0.00032172562,0.52566075,0.00038181496,0.000106397114,0.00050699426,0.039966073,0.018196603,0.004001043,0.34169042,0.069010645,0.00010757944],"about_ca_topic_score_codex":0.016942006,"about_ca_topic_score_gemma":0.019360023,"teacher_disagreement_score":0.016942006,"about_ca_system_score_codex":0.0037356417,"about_ca_system_score_gemma":0.003087271,"threshold_uncertainty_score":0.033686757},"labels":[],"label_agreement":null},{"id":"W2086873282","doi":"10.1111/1468-0106.00180","title":"Has Productivity Contributed to China's Growth?","year":2003,"lang":"en","type":"article","venue":"Pacific Economic Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Economics; Total factor productivity; Growth accounting; Technological change; China; Productivity; Solow residual; Technical progress; Technical change; Growth model; Decomposition; Macroeconomics; Econometrics","score_opus":0.03652752185403653,"score_gpt":0.22518783457449287,"score_spread":0.18866031272045636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086873282","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":[0.8977542,0.018051771,0.0015362805,0.032594945,0.0005318613,0.000033692595,0.00091918866,0.00009093115,0.0484871],"genre_scores_gemma":[0.9908873,0.005367188,0.00012071447,0.0004558741,0.00036812585,0.000006997936,0.00021161574,0.000009032197,0.0025732927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991602,0.00010222497,0.0000440092,0.00011614414,0.00019422697,0.00038327696],"domain_scores_gemma":[0.99799854,0.00042314833,0.00058640406,0.00011429478,0.0005388289,0.00033875505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023763345,0.00049657054,0.0006552765,0.002283657,0.0008145486,0.0028448582,0.0005251211,0.00073971885,0.004145486],"category_scores_gemma":[0.0050947596,0.00020837225,0.00062346616,0.0034597125,0.0013705023,0.0026595844,0.0014949903,0.001056704,0.00048251773],"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":[0.00039519544,0.00007748158,0.6464187,0.0006576544,0.0003883058,0.0022732797,0.0034373752,0.009993144,0.0012665974,0.109250344,0.012212655,0.21362926],"study_design_scores_gemma":[0.00008080542,0.00018804762,0.86179924,0.00034424197,0.00035832266,0.0004314164,0.004331138,0.01208071,0.0014982338,0.050446708,0.068365745,0.00007529817],"about_ca_topic_score_codex":0.048084676,"about_ca_topic_score_gemma":0.026254503,"teacher_disagreement_score":0.048084676,"about_ca_system_score_codex":0.0049866308,"about_ca_system_score_gemma":0.0045470763,"threshold_uncertainty_score":0.095609605},"labels":[],"label_agreement":null},{"id":"W2087821976","doi":"10.1504/ijbg.2010.035019","title":"Entrepreneurship in Pakistan: government policy on SMEs, environment for entrepreneurship, internationalisation of entrepreneurs and SMEs","year":2010,"lang":"en","type":"article","venue":"International Journal of Business and Globalisation","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Entrepreneurship; Internationalization; Enforcement; Business; Sociocultural evolution; Government (linguistics); Scale (ratio); Industrial organization; International trade; Finance; Political science","score_opus":0.01988481092067075,"score_gpt":0.24827704351853783,"score_spread":0.22839223259786706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087821976","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":[0.54583216,0.037306447,0.00079917983,0.21955714,0.00084285095,0.000066337314,0.000693065,0.000034764886,0.19486813],"genre_scores_gemma":[0.98193914,0.00940066,0.00015413662,0.0043064444,0.00018070958,0.00001723362,0.00007176849,0.0000020478717,0.003927773],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99931645,0.00020401979,0.00004138862,0.00005047961,0.00011956349,0.0002681628],"domain_scores_gemma":[0.99705446,0.0007664175,0.0011079394,0.000055669138,0.00040805098,0.00060746155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009710417,0.00015953544,0.00016835808,0.00085512624,0.0021992663,0.002921096,0.00025359532,0.0016472278,0.0030154397],"category_scores_gemma":[0.002699472,0.00013628302,0.00009957038,0.0013818784,0.0019960734,0.0013229676,0.0012309543,0.0009818181,0.00018370574],"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":[0.0005072124,0.0007573782,0.13958514,0.0014742324,0.00005689879,0.0044425232,0.010033325,0.0033277352,0.0014703403,0.5787044,0.080459364,0.17918141],"study_design_scores_gemma":[0.00019029518,0.0005530208,0.4964384,0.003467685,0.00008335904,0.0013175701,0.036548108,0.0020116598,0.0016391084,0.07100886,0.38661626,0.0001256313],"about_ca_topic_score_codex":0.04359027,"about_ca_topic_score_gemma":0.05344597,"teacher_disagreement_score":0.04359027,"about_ca_system_score_codex":0.0034151298,"about_ca_system_score_gemma":0.010150117,"threshold_uncertainty_score":0.08667308},"labels":[],"label_agreement":null},{"id":"W2087837578","doi":"10.1111/j.1465-7295.2012.00497.x","title":"A CENTURY OF HUMAN CAPITAL AND HOURS","year":2012,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Human capital; Life expectancy; Economics; Productivity; Wage; Labour economics; Educational attainment; Demographic economics; Working hours; Work hours; Earnings; Demography; Population; Sociology; Economic growth","score_opus":0.045265611726326836,"score_gpt":0.24196071163900712,"score_spread":0.19669509991268028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087837578","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":[0.5076863,0.05198283,0.023805343,0.06466323,0.0018399237,0.000044767483,0.0019269238,0.00014244986,0.34790823],"genre_scores_gemma":[0.97338957,0.007758276,0.0008420321,0.0015114321,0.00058006094,0.000015061397,0.00017625249,0.000014806554,0.015712459],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997173,0.000067709945,0.000009953823,0.00006482845,0.000071555456,0.00006868374],"domain_scores_gemma":[0.9992756,0.0001812715,0.00019193674,0.00010591123,0.00008681143,0.00015850062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034546177,0.00021586027,0.0002275713,0.00038799545,0.0005161813,0.0021938088,0.00028436363,0.0008014433,0.0066314815],"category_scores_gemma":[0.002173589,0.000112510446,0.00018698604,0.0010423359,0.0022823154,0.0018796095,0.00092463614,0.001276062,0.0006097002],"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":[0.00016028236,0.00010849075,0.057849847,0.00023180588,0.00009374338,0.00030121423,0.0022969234,0.015068764,0.0011280162,0.74780464,0.030343777,0.14461249],"study_design_scores_gemma":[0.00003738666,0.00016459156,0.14969435,0.0005523629,0.000042064832,0.0007265754,0.00255622,0.007069449,0.00059479853,0.43996635,0.3985267,0.00006922506],"about_ca_topic_score_codex":0.0062512364,"about_ca_topic_score_gemma":0.0046257027,"teacher_disagreement_score":0.0066314815,"about_ca_system_score_codex":0.0014745313,"about_ca_system_score_gemma":0.0006577514,"threshold_uncertainty_score":0.02218455},"labels":[],"label_agreement":null},{"id":"W2088517940","doi":"10.2139/ssrn.462486","title":"Bi-Polarization Comparisons","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","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":"Computer science; Physics","score_opus":0.019450897006656323,"score_gpt":0.2062318240710989,"score_spread":0.1867809270644426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088517940","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":[0.29128116,0.0008216211,0.013761921,0.0015769852,0.00037240837,0.000079860234,0.0032331666,0.0002400721,0.6886328],"genre_scores_gemma":[0.96247125,0.00037869834,0.0029801975,0.0005141721,0.00010623086,0.00009123901,0.0027193946,0.0001416562,0.030597085],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981279,0.00042286183,0.00006266301,0.00033845534,0.000470439,0.00057763257],"domain_scores_gemma":[0.99634415,0.0007945884,0.00029929326,0.00091871753,0.0013357226,0.00030751634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014755363,0.00031084396,0.00042598447,0.0029580828,0.0023804428,0.0034717182,0.0006444449,0.0010751022,0.06534447],"category_scores_gemma":[0.006245087,0.00017605216,0.00046302006,0.002955346,0.00081428513,0.0034537057,0.0027016308,0.0012995079,0.008699028],"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":[0.0014510122,0.00031373295,0.020891134,0.00028941184,0.00017316909,0.00020214342,0.0018685807,0.0023216042,0.009328979,0.7870892,0.0469017,0.12916927],"study_design_scores_gemma":[0.0002046581,0.00051446434,0.080174476,0.0003230079,0.00027994905,0.0008867716,0.008964014,0.012984462,0.015315064,0.6475617,0.23266499,0.00012647157],"about_ca_topic_score_codex":0.00091355457,"about_ca_topic_score_gemma":0.0010342987,"teacher_disagreement_score":0.06534447,"about_ca_system_score_codex":0.00064446917,"about_ca_system_score_gemma":0.0005213763,"threshold_uncertainty_score":0.21859902},"labels":[],"label_agreement":null},{"id":"W2088848972","doi":"10.1080/08109020050000672","title":"IT Investment Strategy for Development: An 'Instrumental Analysis' Based on the Tasmanian and New Brunswick Information Technology Strategies","year":2000,"lang":"en","type":"article","venue":"Prometheus","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Investment (military); Natural resource; Resource (disambiguation); Strategic planning; Economics; Industrial organization; State (computer science); Business; Regional science; Management; Political science; Computer science; Geography","score_opus":0.04348036200394467,"score_gpt":0.23447144681085313,"score_spread":0.19099108480690846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088848972","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":[0.1275799,0.013931011,0.55770355,0.052969877,0.00045725136,0.0006353016,0.0012661488,0.0001999577,0.24525698],"genre_scores_gemma":[0.8737857,0.007439213,0.08271936,0.002578748,0.00011670651,0.00068457995,0.00033165838,0.0000656553,0.032278474],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99795425,0.0011054802,0.00005627122,0.00017462336,0.00043257262,0.00027679917],"domain_scores_gemma":[0.99828607,0.0010164295,0.00020872064,0.00007445962,0.00032141426,0.0000928838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042513437,0.000685769,0.0007070458,0.002080037,0.0012877623,0.0045860666,0.0010083234,0.000820722,0.0020733203],"category_scores_gemma":[0.007912425,0.0003526658,0.00057998305,0.0033271983,0.0035622588,0.002130497,0.0018575408,0.002529121,0.0001311433],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008174634,0.000010179242,0.0009760719,0.000028485189,0.000019513369,0.00007523659,0.00021524326,0.009548052,0.000052567048,0.98042,0.001867415,0.006779011],"study_design_scores_gemma":[0.0000520273,0.00005519427,0.005039284,0.0002737177,0.00009454182,0.000058230642,0.0011652533,0.11124858,0.00069051783,0.826722,0.054534826,0.00006577549],"about_ca_topic_score_codex":0.14582437,"about_ca_topic_score_gemma":0.20860845,"teacher_disagreement_score":0.8541756,"about_ca_system_score_codex":0.015515144,"about_ca_system_score_gemma":0.018256286,"threshold_uncertainty_score":0.28995115},"labels":[],"label_agreement":null},{"id":"W2089089349","doi":"10.1007/s00181-006-0060-y","title":"Does Trade Openness Affect the Speed of Output Convergence? Some Empirical Evidence","year":2006,"lang":"en","type":"article","venue":"Empirical Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":17,"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 Victoria","funders":"","keywords":"Openness to experience; Convergence (economics); Econometrics; Economics; Nonparametric statistics; Regression; Kernel (algebra); Rate of convergence; Mathematics; Statistics; Computer science; Macroeconomics; Psychology","score_opus":0.10461661260711752,"score_gpt":0.28298284045604283,"score_spread":0.1783662278489253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089089349","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":[0.969753,0.006973503,0.0023551648,0.0018642042,0.00007408979,0.000012034938,0.00036618233,0.00004978638,0.018552039],"genre_scores_gemma":[0.9965578,0.0019582058,0.0003285081,0.00014947994,0.000107068074,0.0000032408625,0.00016452691,0.000017638195,0.00071357645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934703,0.00022956028,0.00007928649,0.00013671453,0.00007404324,0.00013321162],"domain_scores_gemma":[0.94712067,0.03792961,0.009455683,0.0024908115,0.0017974158,0.0012057741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003351333,0.000409819,0.00081593025,0.0022091086,0.000516,0.003008681,0.0005025934,0.0012654985,0.010202677],"category_scores_gemma":[0.021978613,0.00039255392,0.00092087325,0.0026128017,0.0021274684,0.002588681,0.0014527418,0.0013241482,0.0010910404],"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":[0.0029522136,0.00028450694,0.9056176,0.0005738392,0.0009555457,0.0008411721,0.00088079885,0.009941652,0.0019174253,0.021030413,0.0014268336,0.053577967],"study_design_scores_gemma":[0.00018969152,0.0002632639,0.9334964,0.00030724794,0.000811005,0.00080488715,0.0018253342,0.0060240305,0.0028127101,0.04824784,0.0051607657,0.000056784986],"about_ca_topic_score_codex":0.0020009838,"about_ca_topic_score_gemma":0.0009738661,"teacher_disagreement_score":0.010202677,"about_ca_system_score_codex":0.00035009065,"about_ca_system_score_gemma":0.00025348677,"threshold_uncertainty_score":0.034131348},"labels":[],"label_agreement":null},{"id":"W2089380382","doi":"10.1515/1935-1690.2436","title":"News Shocks, Productivity and the U.S. Investment Boom-Bust Cycle","year":2012,"lang":"en","type":"article","venue":"The B E Journal of Macroeconomics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Bust; Economics; Boom; Business cycle; Recession; Productivity; Investment (military); Consumption (sociology); Monetary economics; Stock (firearms); Macroeconomics; Keynesian economics; Econometrics; Engineering","score_opus":0.022652694337645135,"score_gpt":0.20855841550836746,"score_spread":0.18590572117072232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089380382","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":[0.9811684,0.0012970078,0.0023228812,0.0045651756,0.00006389663,0.000013372121,0.0011147129,0.00007296195,0.009381598],"genre_scores_gemma":[0.9977145,0.00090145477,0.00017994878,0.000119907854,0.000020684409,0.0000044649673,0.00034924323,0.000005423323,0.0007042918],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999144,0.00002293206,0.0000060907732,0.00001874586,0.000010928078,0.000026883492],"domain_scores_gemma":[0.9986945,0.0005184917,0.00054483063,0.000033568234,0.00008026632,0.00012846733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006491456,0.00029714088,0.00035109787,0.000590454,0.00042164323,0.0029341802,0.00023335023,0.0010567649,0.0018984147],"category_scores_gemma":[0.0041260095,0.0002759468,0.000271972,0.001085494,0.0005276232,0.00092978176,0.00042624687,0.000919216,0.00022773584],"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":[0.0011363988,0.0002592576,0.572981,0.00016550084,0.00029367468,0.0012073881,0.001225862,0.21798533,0.0014546259,0.1365842,0.020945648,0.04576117],"study_design_scores_gemma":[0.00018175566,0.00030621857,0.45326048,0.00017284957,0.00029469997,0.00031562793,0.0021115465,0.4111278,0.0010902485,0.11916627,0.011864672,0.00010771388],"about_ca_topic_score_codex":0.034666527,"about_ca_topic_score_gemma":0.03227037,"teacher_disagreement_score":0.034666527,"about_ca_system_score_codex":0.0018012826,"about_ca_system_score_gemma":0.000622847,"threshold_uncertainty_score":0.06892949},"labels":[],"label_agreement":null},{"id":"W2089700062","doi":"10.1142/s1793969013500015","title":"THE CONTRIBUTION OF HUMAN CAPITAL TO CHINA'S ECONOMIC GROWTH","year":2010,"lang":"en","type":"article","venue":"China Economic Policy Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for International Governance Innovation; Western University","funders":"","keywords":"Human capital; Total factor productivity; Economics; Capital deepening; Growth accounting; China; Physical capital; Capital (architecture); Capital intensity; Capital accumulation; Capital formation; Monetary economics; Productivity; Development economics; Labour economics; Financial capital; Macroeconomics; Market economy; Geography","score_opus":0.014627199542041327,"score_gpt":0.2588727703654151,"score_spread":0.24424557082337378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089700062","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":[0.9364751,0.013697424,0.0038037768,0.0033007485,0.00017814049,0.000050156254,0.0011871373,0.000102888924,0.041204654],"genre_scores_gemma":[0.9929519,0.0042042537,0.00035798678,0.00005612163,0.000053774555,0.000008266455,0.00026624615,0.0000039984025,0.0020973573],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965894,0.00005016304,0.000017790304,0.000038208567,0.00013794778,0.000096918615],"domain_scores_gemma":[0.9992441,0.00013757961,0.0002118276,0.000044426215,0.00024501412,0.00011714118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072719855,0.000356801,0.00021297464,0.0018562372,0.000359827,0.0012659844,0.0002317454,0.00016902562,0.0008965219],"category_scores_gemma":[0.0018295854,0.00009904745,0.00022770197,0.0022642133,0.00049654924,0.00056680845,0.00072229415,0.00029451738,0.00013257956],"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":[0.00014710186,0.000037802525,0.62602067,0.0007282546,0.00037105614,0.001969583,0.0014320512,0.02767335,0.0028481123,0.04113039,0.0069655324,0.2906762],"study_design_scores_gemma":[0.000016113858,0.000073461524,0.9303464,0.00019948928,0.00019580757,0.0002935498,0.00058319164,0.012400926,0.0019065478,0.01057776,0.043377787,0.000029129105],"about_ca_topic_score_codex":0.033700712,"about_ca_topic_score_gemma":0.0324308,"teacher_disagreement_score":0.033700712,"about_ca_system_score_codex":0.0021566912,"about_ca_system_score_gemma":0.0024596225,"threshold_uncertainty_score":0.06700909},"labels":[],"label_agreement":null},{"id":"W2089754025","doi":"10.1080/1389224x.2013.782181","title":"What Does an Inventory of Recent Innovation Experiences Tell Us About Agricultural Innovation in Africa?","year":2013,"lang":"en","type":"article","venue":"The Journal of Agricultural Education and Extension","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Development Research Centre","funders":"European Commission","keywords":"Agriculture; Agricultural education; Business; Economic growth; Marketing; Agricultural economics; Regional science; Economics; Sociology; Geography","score_opus":0.0389613414452327,"score_gpt":0.24284487987091263,"score_spread":0.20388353842567994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089754025","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":[0.9829919,0.0031997042,0.0017924628,0.0014020709,0.00003569128,0.00012731731,0.0020021098,0.0000118706,0.008436818],"genre_scores_gemma":[0.9914062,0.0038428027,0.0023856715,0.00012760072,0.000024640889,0.00017147971,0.0012998328,0.0000133418625,0.0007284639],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9974777,0.0010379452,0.0004465092,0.00019857122,0.00045525416,0.00038398665],"domain_scores_gemma":[0.97862786,0.012910842,0.004748306,0.0006974787,0.0021152704,0.0009001846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057004504,0.00033648187,0.0005029414,0.011921844,0.001697181,0.0051156436,0.0007536178,0.00064183254,0.0026877872],"category_scores_gemma":[0.026926119,0.00039267165,0.00041559458,0.013227072,0.0018472045,0.0093751745,0.003173182,0.0007021169,0.00039110816],"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":[0.00027923245,0.00007394725,0.29862392,0.0030461547,0.000108848544,0.002126934,0.5109298,0.00045295793,0.0018931447,0.003176101,0.001845634,0.17744328],"study_design_scores_gemma":[0.0000070356077,0.00022657364,0.30865756,0.003492989,0.000082318045,0.0018364599,0.6294533,0.00034798938,0.00089916197,0.0020354479,0.052876465,0.000084656545],"about_ca_topic_score_codex":0.0071338434,"about_ca_topic_score_gemma":0.011634249,"teacher_disagreement_score":0.011921844,"about_ca_system_score_codex":0.0025518078,"about_ca_system_score_gemma":0.0021693644,"threshold_uncertainty_score":0.030147254},"labels":[],"label_agreement":null},{"id":"W2090624992","doi":"10.1080/1350485022000044066","title":"Empirical evidence on real convergence in some OECD countries","year":2003,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"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":"Convergence (economics); Economics; Econometrics; Per capita; Order (exchange); Benchmark (surveying); Real gross domestic product; Parametric statistics; Series (stratigraphy); Macroeconomics; International economics; Statistics; Geography; Mathematics; Demography; Finance","score_opus":0.06011455146710027,"score_gpt":0.23470351196283792,"score_spread":0.17458896049573766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090624992","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":[0.96741015,0.0031341587,0.00058260607,0.00067299337,0.000024885787,0.0000125503375,0.0015704433,0.000041199666,0.02655083],"genre_scores_gemma":[0.99448365,0.002307231,0.00029169623,0.00009409817,0.000018487832,0.000010336786,0.00214953,0.000014176599,0.0006308009],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986739,0.0003528099,0.00017230045,0.00016116216,0.00037941057,0.00026043082],"domain_scores_gemma":[0.9730023,0.009710416,0.0068287468,0.0021543293,0.0072761234,0.001028117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003467127,0.00028926897,0.0004041061,0.005218447,0.00064823916,0.0017696754,0.00028386008,0.0003153551,0.002971517],"category_scores_gemma":[0.0192832,0.00016990837,0.00034122853,0.007279378,0.001730241,0.00104699,0.0014444628,0.00058603013,0.00043735423],"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":[0.0004231719,0.00008388635,0.9256842,0.00040114604,0.00026555575,0.0009436507,0.0023996234,0.005636565,0.0005353329,0.0153115615,0.004050792,0.044264313],"study_design_scores_gemma":[0.000014707176,0.000044270375,0.98396087,0.00017977683,0.00008220624,0.0003693012,0.0031337002,0.0009350091,0.000514768,0.0019533033,0.008788178,0.000023923838],"about_ca_topic_score_codex":0.06153628,"about_ca_topic_score_gemma":0.051431097,"teacher_disagreement_score":0.06153628,"about_ca_system_score_codex":0.0015298532,"about_ca_system_score_gemma":0.0012547253,"threshold_uncertainty_score":0.12235618},"labels":[],"label_agreement":null},{"id":"W2091095420","doi":"","title":"Will FTAA Bring Income Convergence","year":2003,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Convergence (economics); Economics; Liberalization; Free trade; Per capita income; International economics; International trade; International free trade agreement; Empirical evidence; Per capita; Economic growth; Market economy; Population","score_opus":0.03761237706850254,"score_gpt":0.2669385701041571,"score_spread":0.22932619303565457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091095420","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":[0.03883673,0.0031369054,0.005235328,0.43517745,0.03462618,0.00014178873,0.0015508059,0.0015877594,0.47970703],"genre_scores_gemma":[0.3114446,0.0030601397,0.012337955,0.20645209,0.01633731,0.00029477148,0.0022854737,0.0010300709,0.44675753],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9955994,0.00047442692,0.00011311351,0.00032396082,0.0018441938,0.0016448199],"domain_scores_gemma":[0.99276215,0.0010001395,0.0005639353,0.0009505603,0.0024335317,0.0022897099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064850063,0.00047373105,0.0005526122,0.0014803925,0.0042888024,0.007289709,0.0013255848,0.009010439,0.053818386],"category_scores_gemma":[0.028451385,0.00028943503,0.0011486844,0.00095144217,0.0017558167,0.0089083435,0.0051839924,0.0069407546,0.020137992],"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":[0.00042110402,0.00032600717,0.006668214,0.00013412409,0.000057150955,0.0008809643,0.0014575334,0.0010769833,0.0007883903,0.29423958,0.5703684,0.12358153],"study_design_scores_gemma":[0.00006467532,0.00013529231,0.009660128,0.00021770023,0.0000194401,0.00034272677,0.0009493791,0.0004675994,0.0007853175,0.06174773,0.9255341,0.00007589276],"about_ca_topic_score_codex":0.015767377,"about_ca_topic_score_gemma":0.010634961,"teacher_disagreement_score":0.053818386,"about_ca_system_score_codex":0.0039046302,"about_ca_system_score_gemma":0.008451398,"threshold_uncertainty_score":0.18004048},"labels":[],"label_agreement":null},{"id":"W2091360898","doi":"10.7202/1002501ar","title":"Le modèle de croissance anglo-saxon en théorie et en pratique. Analyse du régime de croissance américain","year":2011,"lang":"fr","type":"article","venue":"Cahiers de recherche sociologique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.12948870034770849,"score_gpt":0.29657177083138514,"score_spread":0.16708307048367665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091360898","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":[0.4217532,0.013449696,0.2021156,0.054945856,0.0005176595,0.00011564187,0.0015115087,0.00027117788,0.30531967],"genre_scores_gemma":[0.9348475,0.0032093604,0.006262182,0.0005048854,0.00012602068,0.0000851219,0.00021350107,0.00004199041,0.054709498],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99967444,0.00016045044,0.000013765336,0.000065679385,0.00004266269,0.000042920645],"domain_scores_gemma":[0.99909806,0.00055289915,0.00012452532,0.00006104591,0.00009193584,0.000071466064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011022268,0.00042261885,0.00044346254,0.0006198593,0.0008996706,0.0031116076,0.0008200907,0.0016771173,0.008806113],"category_scores_gemma":[0.003439112,0.00032353733,0.0005108441,0.0011787658,0.001705802,0.0022911634,0.0011026018,0.001571386,0.0006880233],"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":[0.00003327596,0.000026342037,0.002150075,0.000042965647,0.000026754005,0.00011273249,0.0009291349,0.06330385,0.00015072562,0.9250724,0.0023640136,0.0057876925],"study_design_scores_gemma":[0.000054691034,0.000050614522,0.0036989683,0.00015189854,0.000057091493,0.00012797289,0.00088174647,0.23002352,0.00013129522,0.72861576,0.036171053,0.000035360117],"about_ca_topic_score_codex":0.041904163,"about_ca_topic_score_gemma":0.023406496,"teacher_disagreement_score":0.041904163,"about_ca_system_score_codex":0.00334746,"about_ca_system_score_gemma":0.0017327681,"threshold_uncertainty_score":0.0833205},"labels":[],"label_agreement":null},{"id":"W2092378229","doi":"10.1016/j.ribaf.2011.12.003","title":"Financial market development and the effectiveness of R&amp;D investment: Evidence from developed and emerging countries","year":2012,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":64,"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 Saskatchewan","funders":"","keywords":"Ordinary least squares; Investment (military); Instrumental variable; Estimation; Economics; Panel data; Finance; Financial market; Variable (mathematics); Business; Econometrics","score_opus":0.09304591502442766,"score_gpt":0.3099714730954177,"score_spread":0.21692555807099007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092378229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9725874,0.01516944,0.00015713993,0.0013002087,0.00002490266,0.000012715128,0.0010783926,0.0000053353665,0.009664466],"genre_scores_gemma":[0.9930647,0.005716741,0.00005245499,0.00011301011,0.000029716766,0.0000028953605,0.00063313113,0.0000016285423,0.00038585908],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99956065,0.000116444826,0.00006013734,0.000060952796,0.00008522886,0.00011654781],"domain_scores_gemma":[0.9856215,0.004386277,0.007944827,0.0003014566,0.0009639291,0.00078205654],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0017353516,0.00021949205,0.0002757798,0.0019545653,0.00035604875,0.0023325712,0.0002893655,0.00047735852,0.0019881234],"category_scores_gemma":[0.006429476,0.00017264529,0.00042099482,0.0035466824,0.0012437843,0.0013351439,0.00083576335,0.0007574954,0.00026110045],"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":[0.000412119,0.00011333479,0.9753221,0.00016443034,0.0002484385,0.000278775,0.00035287437,0.00067914,0.0001731848,0.0027755538,0.00090282876,0.01857721],"study_design_scores_gemma":[0.00003374008,0.00011511095,0.9936795,0.00009829693,0.00015261582,0.00012909716,0.00079884287,0.00022349918,0.0003978586,0.00053353386,0.0038291565,0.0000085632855],"about_ca_topic_score_codex":0.01092616,"about_ca_topic_score_gemma":0.014715285,"teacher_disagreement_score":0.9982647,"about_ca_system_score_codex":0.000625815,"about_ca_system_score_gemma":0.0007583755,"threshold_uncertainty_score":0.021725118},"labels":[],"label_agreement":null},{"id":"W2092650113","doi":"10.3917/rel.752.0131","title":"AK growth models: new evidence based on fractional integration and breaking trends","year":2009,"lang":"fr","type":"article","venue":"Recherches économiques de Louvain","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"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":"Humanities; Political science; Diction; Philosophy; Linguistics","score_opus":0.21123626863217668,"score_gpt":0.3020413717156779,"score_spread":0.09080510308350123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092650113","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":[0.5331628,0.048042957,0.34005725,0.016872732,0.0017041594,0.00017377245,0.0019684962,0.0011356839,0.056882065],"genre_scores_gemma":[0.96696556,0.010394331,0.015356678,0.0007677873,0.0012975627,0.000070882525,0.0009445922,0.00022529946,0.0039771763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9950536,0.0024235875,0.00040336233,0.0009014833,0.00075831066,0.00045977486],"domain_scores_gemma":[0.8703806,0.10447248,0.010800722,0.0081925,0.0046105585,0.0015431475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021731455,0.0015970529,0.002734654,0.0059756036,0.0016053299,0.0064638113,0.0032891082,0.0026123344,0.010977552],"category_scores_gemma":[0.09557407,0.00076888874,0.0041261585,0.0064202254,0.004635004,0.006367808,0.0042207013,0.0056644105,0.0011159058],"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":[0.0016747501,0.00028578608,0.09123595,0.0015525166,0.0020928867,0.0011983872,0.0017053826,0.3745913,0.00065266597,0.35594288,0.01029639,0.15877108],"study_design_scores_gemma":[0.00022151668,0.000269935,0.017865881,0.00076084805,0.00092845975,0.00023502893,0.0007950995,0.52947855,0.00045798928,0.4345181,0.014334117,0.00013453474],"about_ca_topic_score_codex":0.021149447,"about_ca_topic_score_gemma":0.0061271964,"teacher_disagreement_score":0.021731455,"about_ca_system_score_codex":0.0026824446,"about_ca_system_score_gemma":0.0020726556,"threshold_uncertainty_score":0.114928246},"labels":[],"label_agreement":null},{"id":"W2092941164","doi":"10.11130/jei.2004.19.3.470","title":"Income Convergence in the Asia-Pacific Region","year":2004,"lang":"en","type":"article","venue":"Journal of Economic Integration","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Convergence (economics); Openness to experience; Economics; Conditional convergence; Population; East Asia; Financial crisis; International economics; Development economics; Macroeconomics; Geography; Demography","score_opus":0.03288633066384536,"score_gpt":0.225703078790561,"score_spread":0.19281674812671565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092941164","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":[0.98510695,0.00057954976,0.00158094,0.00021066196,0.000007281584,0.000011967409,0.00013484088,0.0000075624844,0.01236025],"genre_scores_gemma":[0.99922705,0.00025776334,0.00021619555,0.000012736485,0.000006155368,0.0000066133507,0.000105038336,0.0000018906611,0.00016651677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941206,0.00025840776,0.000033479486,0.00007031768,0.00012568412,0.000100017554],"domain_scores_gemma":[0.9972922,0.00094961375,0.00081366295,0.00014881816,0.00055467844,0.00024097084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015894006,0.00016922202,0.0003455751,0.0016185906,0.00059198705,0.0011025165,0.00029639617,0.00019062986,0.0021062936],"category_scores_gemma":[0.00564912,0.00008582181,0.00026329354,0.0019145199,0.0009734653,0.0013028565,0.0015177816,0.00054177793,0.00016688192],"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":[0.00039304016,0.00008564707,0.9032842,0.000116112235,0.00015913673,0.0010705226,0.0025076477,0.009982702,0.0008087628,0.038463563,0.0008313502,0.04229721],"study_design_scores_gemma":[0.00002051686,0.0001409843,0.96310985,0.00013018439,0.00006989599,0.00071360986,0.004858314,0.010380285,0.0007990946,0.015459043,0.0042981384,0.000020015457],"about_ca_topic_score_codex":0.0042035193,"about_ca_topic_score_gemma":0.0018566136,"teacher_disagreement_score":0.0042035193,"about_ca_system_score_codex":0.0006111775,"about_ca_system_score_gemma":0.00051946327,"threshold_uncertainty_score":0.008405685},"labels":[],"label_agreement":null},{"id":"W2093118062","doi":"10.1111/j.1467-9353.2003.00162.x","title":"Gains to Research in the Presence of Intellectual Property Rights and Research Subsidies","year":2004,"lang":"en","type":"article","venue":"Review of Agricultural Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; University of Lethbridge","funders":"Swinburne University of Technology; U.S. Food and Drug Administration; Canola Council of Canada","keywords":"Subsidy; Intellectual property; Property rights; Business; Public economics; Law and economics; Economics; Political science; Microeconomics; Law; Market economy","score_opus":0.1735260658226533,"score_gpt":0.33041126028481643,"score_spread":0.15688519446216312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093118062","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":[0.6837313,0.009561282,0.006974357,0.012023042,0.00017238314,0.00007697359,0.000646467,0.00014768918,0.28666645],"genre_scores_gemma":[0.98673093,0.0030398332,0.0013221942,0.0004150193,0.00026004034,0.000023616898,0.0001995539,0.000009168857,0.007999581],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967661,0.0010580723,0.00022143044,0.00031425696,0.0008808395,0.00075929565],"domain_scores_gemma":[0.9758388,0.012118205,0.005938408,0.0025711528,0.001966476,0.0015670983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049060695,0.00027026725,0.0006568719,0.0021973336,0.00057415816,0.0033013977,0.00052610185,0.0013534739,0.008138323],"category_scores_gemma":[0.02078211,0.00020808855,0.0005567436,0.0017637761,0.0026654166,0.0033539187,0.0024273251,0.00082999567,0.0010427053],"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":[0.0016629023,0.00064646173,0.13898438,0.001569178,0.00051832706,0.0035696789,0.0008765428,0.013520544,0.014826106,0.5371259,0.0070817317,0.27961826],"study_design_scores_gemma":[0.00025743566,0.0013750468,0.27592778,0.0005027657,0.0004250335,0.007318928,0.0017087897,0.0063592372,0.0066760583,0.5758719,0.12349632,0.000080750186],"about_ca_topic_score_codex":0.0006560626,"about_ca_topic_score_gemma":0.0012639421,"teacher_disagreement_score":0.008138323,"about_ca_system_score_codex":0.0017613708,"about_ca_system_score_gemma":0.0017924726,"threshold_uncertainty_score":0.027225435},"labels":[],"label_agreement":null},{"id":"W2093880178","doi":"10.1109/icmit.2012.6225781","title":"Forgetting in R&amp;amp;D activities: The depreciation of knowledge stocks in biotechnology research","year":2012,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Forgetting; Depreciation (economics); Productivity; Production (economics); Industrial organization; Knowledge retention; Knowledge production; Business; Economics; Knowledge management; Computer science; Microeconomics; Human capital; Economic growth; Psychology","score_opus":0.1457692612092951,"score_gpt":0.3269679099883585,"score_spread":0.18119864877906341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093880178","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":[0.98775184,0.0031246988,0.0038570291,0.0013013483,0.0000322827,0.000027885002,0.00081326754,0.000046671124,0.0030450248],"genre_scores_gemma":[0.9965579,0.0009155386,0.00048502826,0.00012263762,0.000059846083,0.000010785386,0.00045981235,0.000008241494,0.0013801748],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998396,0.00017807123,0.00025486542,0.00032575344,0.00050182553,0.0003436251],"domain_scores_gemma":[0.9570981,0.013211731,0.023222297,0.0027655684,0.0019714101,0.0017307673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035828126,0.00034325794,0.0006582895,0.002963453,0.000785462,0.0035135578,0.0012811036,0.0015132439,0.0026120984],"category_scores_gemma":[0.02647525,0.00043839816,0.00075225596,0.004087002,0.001481654,0.0035672805,0.0014844248,0.0011841925,0.0005685932],"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":[0.0004337443,0.00025602683,0.9009254,0.00020143916,0.0002516806,0.0013594079,0.001265986,0.018977012,0.0024375643,0.009732573,0.0015196939,0.06263957],"study_design_scores_gemma":[0.000041991687,0.00033118518,0.9465628,0.00016123147,0.00028406808,0.001047546,0.00093521416,0.015086981,0.0058951587,0.023833092,0.005720471,0.00010020527],"about_ca_topic_score_codex":0.012160452,"about_ca_topic_score_gemma":0.010882969,"teacher_disagreement_score":0.012160452,"about_ca_system_score_codex":0.0024470296,"about_ca_system_score_gemma":0.0012532569,"threshold_uncertainty_score":0.02417934},"labels":[],"label_agreement":null},{"id":"W2094597889","doi":"10.7202/009906ar","title":"Les fusions-acquisitions en matière de gaz et de pétrole","year":2005,"lang":"fr","type":"article","venue":"Études internationales","topic":"Economic Growth and Productivity","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":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.028800322107633176,"score_gpt":0.26776769362313724,"score_spread":0.23896737151550407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094597889","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":[0.8885502,0.00156074,0.0058999737,0.0018166909,0.00006703566,0.000044728935,0.00063459465,0.00007801282,0.101348035],"genre_scores_gemma":[0.9635548,0.00086418865,0.0025946524,0.00014914578,0.000014625259,0.00001598454,0.00030293362,0.000028518389,0.032475185],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999408,0.00006537084,0.000015171567,0.00012672652,0.00017746996,0.00020725578],"domain_scores_gemma":[0.99924314,0.00013253343,0.00019224647,0.00006420343,0.000244509,0.00012337568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062357757,0.00027540565,0.00015276324,0.0010627947,0.0022904226,0.00298673,0.0004497234,0.0007086861,0.008547425],"category_scores_gemma":[0.0012510272,0.00022313981,0.00036430988,0.0021415246,0.0017651048,0.0022222467,0.0011984085,0.0010311897,0.0008553858],"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":[0.0009845267,0.00017388632,0.32601118,0.00037422418,0.0001631518,0.005809564,0.025718413,0.011280005,0.02964397,0.37412164,0.009398222,0.21632111],"study_design_scores_gemma":[0.00005274019,0.00033933285,0.5391737,0.00034838368,0.000067904446,0.003033089,0.03618836,0.005514883,0.014199002,0.024432411,0.3764992,0.00015096339],"about_ca_topic_score_codex":0.17657304,"about_ca_topic_score_gemma":0.27593157,"teacher_disagreement_score":0.17657304,"about_ca_system_score_codex":0.0063129915,"about_ca_system_score_gemma":0.005562482,"threshold_uncertainty_score":0.35109055},"labels":[],"label_agreement":null},{"id":"W2095779062","doi":"","title":"What Have Two Decades of British Economic Reform Delivered in Terms of Productivity Growth","year":2002,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Growth accounting; Competitor analysis; Quarter (Canadian coin); Economic reform; Profit (economics); Economy; Total factor productivity; Economic growth; China; Political science","score_opus":0.028011033597030124,"score_gpt":0.23535711407145324,"score_spread":0.2073460804744231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095779062","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":[0.3910674,0.041668322,0.0061952625,0.3419438,0.012748044,0.00012352799,0.0037490902,0.00045214815,0.2020525],"genre_scores_gemma":[0.8846378,0.012789171,0.0023677812,0.03468134,0.0021891848,0.00007616495,0.0011810556,0.000153943,0.061923504],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99825317,0.00030981004,0.00008578553,0.00022781349,0.00053177,0.0005915923],"domain_scores_gemma":[0.996469,0.0003932048,0.00041281452,0.00037838484,0.0015278925,0.0008187026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002488946,0.00034959087,0.00039172237,0.0009042201,0.0019198606,0.005144302,0.0003557208,0.0024412004,0.01144804],"category_scores_gemma":[0.011911328,0.00024953712,0.00035943036,0.0016826638,0.0025519233,0.004077716,0.001391501,0.0023811145,0.0037745296],"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":[0.0020465637,0.00044180924,0.06724257,0.0018726303,0.00027757994,0.00063298264,0.0071375943,0.001200744,0.0046670637,0.3248994,0.22578429,0.3637968],"study_design_scores_gemma":[0.00011514475,0.00031752308,0.13795978,0.00080254354,0.00006774306,0.00025118885,0.0031126435,0.00019860576,0.0022373565,0.011203326,0.84364325,0.0000909606],"about_ca_topic_score_codex":0.06587654,"about_ca_topic_score_gemma":0.093128435,"teacher_disagreement_score":0.06587654,"about_ca_system_score_codex":0.008247701,"about_ca_system_score_gemma":0.0035812194,"threshold_uncertainty_score":0.13098621},"labels":[],"label_agreement":null},{"id":"W2095908239","doi":"10.1111/0008-4085.00066","title":"Technology and the demand for skills in Canada: an industry‐level analysis","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Stock (firearms); Political science; Humanities; Economics; Geography; Art","score_opus":0.10287093736655675,"score_gpt":0.17793377515034756,"score_spread":0.0750628377837908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095908239","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":[0.9842874,0.0011977472,0.00029404284,0.00047397328,0.000008732829,0.000028941799,0.0067742104,0.00002925454,0.0069058696],"genre_scores_gemma":[0.9891917,0.00080458756,0.0003010456,0.000062472966,0.000005620685,0.000013044826,0.0035416642,0.0000064335604,0.006073447],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929035,0.00002337589,0.000022767064,0.00007761563,0.00031166512,0.00027426952],"domain_scores_gemma":[0.998142,0.0002820856,0.00030347996,0.000057377743,0.0008347478,0.0003803026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040193176,0.0002920957,0.0003800318,0.0027236613,0.0016628276,0.0016585191,0.0008195356,0.0005022218,0.005680739],"category_scores_gemma":[0.0017905324,0.00021905784,0.00081826176,0.006260969,0.000476696,0.00033367044,0.00075550814,0.0005541032,0.00047351004],"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":[0.00014189746,0.000066138695,0.9735744,0.000096689546,0.0001442515,0.00026765696,0.00090887403,0.002850464,0.0011705213,0.0012705306,0.0019680182,0.01754064],"study_design_scores_gemma":[0.000005675223,0.000018609653,0.9940387,0.000016454598,0.000030000921,0.000028807091,0.000749167,0.0017010049,0.00016010313,0.00007599762,0.0031611966,0.0000143776415],"about_ca_topic_score_codex":0.9942122,"about_ca_topic_score_gemma":0.996298,"teacher_disagreement_score":0.028596425,"about_ca_system_score_codex":0.028596425,"about_ca_system_score_gemma":0.022519166,"threshold_uncertainty_score":0.20748252},"labels":[],"label_agreement":null},{"id":"W2096120410","doi":"10.25336/p69049","title":"Population Aging, Intergenerational Transfers, and the Macroeconomy","year":2011,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Economics; Population ageing; Population; Demographic economics; Demography; Sociology","score_opus":0.08095898458161399,"score_gpt":0.23998866201463964,"score_spread":0.15902967743302565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096120410","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":[0.7986009,0.0505534,0.0024879663,0.06537796,0.00028494684,0.00002528076,0.0041078194,0.000048897065,0.078512795],"genre_scores_gemma":[0.9806591,0.013395374,0.00017018568,0.0004698986,0.00013518477,0.0000047208023,0.00025065514,0.0000056918443,0.004909195],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99967,0.000080916594,0.000013508007,0.000025049703,0.000081740516,0.0001288167],"domain_scores_gemma":[0.99848455,0.00050869817,0.0003481505,0.000061922256,0.00027028713,0.00032634052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011414895,0.00017137207,0.00027227998,0.0014767697,0.0010299667,0.0017573275,0.00024146521,0.0005147534,0.004998252],"category_scores_gemma":[0.003516088,0.000112737376,0.00027022706,0.0030654196,0.0012723348,0.0013085895,0.0007863438,0.0010428479,0.00012488013],"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":[0.0001654562,0.00010069574,0.34210092,0.0001271021,0.00016202836,0.00029597688,0.0028066554,0.015554687,0.00018875265,0.5535909,0.019237868,0.06566899],"study_design_scores_gemma":[0.000028469223,0.00003858018,0.6844834,0.0003950407,0.00019298776,0.0001498762,0.004911185,0.010192421,0.0001547335,0.22908218,0.07031712,0.00005407463],"about_ca_topic_score_codex":0.7046582,"about_ca_topic_score_gemma":0.7757617,"teacher_disagreement_score":0.2953418,"about_ca_system_score_codex":0.008490083,"about_ca_system_score_gemma":0.0071558943,"threshold_uncertainty_score":0.5941622},"labels":[],"label_agreement":null},{"id":"W2096808379","doi":"","title":"Empirical Evidence on Human Capital Externalities","year":2003,"lang":"en","type":"preprint","venue":"Scholarship@Western (Western University)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Government of Canada","keywords":"Human capital; Externality; Productivity; Humanities; Economics; Investment (military); Political science; Welfare economics; Philosophy; Economic growth; Microeconomics","score_opus":0.35457522426122834,"score_gpt":0.347528639705563,"score_spread":0.007046584555665314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096808379","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":[0.5384286,0.04556442,0.006406149,0.042967282,0.0009190402,0.0003201085,0.102453284,0.00046929662,0.26247185],"genre_scores_gemma":[0.9185755,0.01794858,0.0012155395,0.002496017,0.0006989576,0.00017624162,0.031504463,0.00006670304,0.027317964],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987036,0.0003689303,0.00014636472,0.00021661216,0.00036521192,0.00019921665],"domain_scores_gemma":[0.9184822,0.057294503,0.013282238,0.0036729944,0.005489347,0.0017787027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029241783,0.0005608933,0.00057053426,0.0038447257,0.0007050702,0.0016857184,0.0010434372,0.0011121824,0.08677354],"category_scores_gemma":[0.027481975,0.00024122429,0.0004563983,0.009347134,0.0011695821,0.0018138136,0.0013546337,0.0010870704,0.010653632],"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":[0.002301784,0.0013977998,0.39919826,0.005055158,0.0012109918,0.0014728755,0.0010111718,0.006276812,0.001536408,0.069446385,0.18394285,0.32714945],"study_design_scores_gemma":[0.0005990356,0.00070791907,0.697176,0.0026718462,0.00086551014,0.0013819593,0.0037973756,0.0026046515,0.006390798,0.057390366,0.22633992,0.000074696676],"about_ca_topic_score_codex":0.0046010124,"about_ca_topic_score_gemma":0.0049313307,"teacher_disagreement_score":0.08677354,"about_ca_system_score_codex":0.00065659464,"about_ca_system_score_gemma":0.00085943396,"threshold_uncertainty_score":0.29028642},"labels":[],"label_agreement":null},{"id":"W2097067739","doi":"","title":"A Canadian Business Sector Data Base and New Estimates of Canadian TFP Growth","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"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":"Total factor productivity; Economics; Productivity; Falling (accident); Labour economics; Capital (architecture); Business sector; Business cycle; Agricultural economics; Economy; Macroeconomics; Geography","score_opus":0.11354964582741811,"score_gpt":0.2775225693950659,"score_spread":0.1639729235676478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097067739","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033972047,0.0014598463,0.0037111943,0.0013310718,0.00015859256,0.00023151415,0.92952305,0.0008698651,0.028742839],"genre_scores_gemma":[0.08060523,0.0034860477,0.009739846,0.00020602468,0.000069328955,0.00032406312,0.89023304,0.0001912225,0.015145156],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958831,0.00008845039,0.00017105674,0.00028012547,0.0030812672,0.00049607066],"domain_scores_gemma":[0.97561795,0.0007736051,0.0011033568,0.0005962083,0.021145506,0.00076344394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018300522,0.0012596167,0.000839894,0.01819069,0.002791654,0.0023985247,0.0016769872,0.0004270536,0.009905295],"category_scores_gemma":[0.010528451,0.00045425116,0.0011365819,0.04360915,0.00041189068,0.0011011704,0.001057013,0.0012883156,0.0036077986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002903061,0.00014378892,0.120276205,0.0013592737,0.00027661643,0.00033382908,0.0011976978,0.0110280765,0.0010255097,0.012445578,0.7182591,0.1333641],"study_design_scores_gemma":[0.000052140524,0.000031004365,0.4857217,0.00033784658,0.00016185139,0.00013539684,0.0010973379,0.007398168,0.0015850053,0.0010258368,0.5022873,0.00016637045],"about_ca_topic_score_codex":0.99697363,"about_ca_topic_score_gemma":0.9965423,"teacher_disagreement_score":0.9511333,"about_ca_system_score_codex":0.048866674,"about_ca_system_score_gemma":0.07466408,"threshold_uncertainty_score":0.35455418},"labels":[],"label_agreement":null},{"id":"W2097464180","doi":"","title":"Multifactor Productivity Growth Estimation in Canada and the United States: Do Different Methodologies Matter?","year":2015,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Productivity; Estimation; Geography; Agricultural economics; Regional science; Economics; Economic growth; Management","score_opus":0.08060667394879995,"score_gpt":0.24262809644512628,"score_spread":0.16202142249632634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097464180","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":[0.704017,0.024417106,0.18994121,0.015696753,0.0005008639,0.00055488315,0.016570847,0.0007746401,0.047526762],"genre_scores_gemma":[0.9224694,0.0039359247,0.062989525,0.0005726081,0.00006536335,0.00021245472,0.0072021466,0.00011175799,0.0024409818],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.988789,0.004018971,0.00072702393,0.0013049504,0.0039506676,0.0012094087],"domain_scores_gemma":[0.96221757,0.016293984,0.0043961448,0.0024137278,0.01393412,0.0007443233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01989971,0.00063378224,0.00091044075,0.005227981,0.0015552501,0.0030214738,0.0023532016,0.000584071,0.0010488848],"category_scores_gemma":[0.075482175,0.00030564424,0.0012006429,0.015214012,0.0013224763,0.0017173543,0.0022108078,0.001570668,0.00019500047],"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":[0.00025964316,0.00010909427,0.63108647,0.000623208,0.0012720234,0.00025039568,0.00314383,0.05262799,0.00039013984,0.06813533,0.015501549,0.2266003],"study_design_scores_gemma":[0.00011516699,0.000089808804,0.80524766,0.001086168,0.0006338593,0.00014761892,0.0072516385,0.1204213,0.0032320104,0.026683128,0.034853414,0.00023823544],"about_ca_topic_score_codex":0.9685593,"about_ca_topic_score_gemma":0.9529559,"teacher_disagreement_score":0.031440675,"about_ca_system_score_codex":0.024893865,"about_ca_system_score_gemma":0.036325786,"threshold_uncertainty_score":0.18061846},"labels":[],"label_agreement":null},{"id":"W2097803198","doi":"10.5539/res.v4n5p30","title":"A Non-parametric Analysis of Convergence in ICT Industries","year":2012,"lang":"en","type":"article","venue":"Review of European Studies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"European Social Fund","keywords":"Data envelopment analysis; Productivity; Information and Communications Technology; Convergence (economics); Convergence clubs; Economics; Industrial organization; Parametric statistics; Econometrics; Microeconomics; Computer science; Macroeconomics; Mathematics; Statistics","score_opus":0.10948647373080349,"score_gpt":0.2945406690861298,"score_spread":0.1850541953553263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097803198","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":[0.91869897,0.0017655366,0.07139908,0.00017897654,0.000017853697,0.000054654247,0.0003701555,0.00007921,0.0074355444],"genre_scores_gemma":[0.9957203,0.00026561526,0.00318356,0.000011449704,0.000010102759,0.000027662809,0.00030989374,0.000013424453,0.0004581099],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99575317,0.0022808798,0.00033778214,0.000581453,0.000704651,0.0003420126],"domain_scores_gemma":[0.9572174,0.031817358,0.0038219264,0.0039871023,0.002866684,0.00028951254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073060524,0.00034013364,0.0007008587,0.0037929707,0.00031682602,0.0017833285,0.0005247799,0.000525013,0.0026068725],"category_scores_gemma":[0.043083094,0.00018084953,0.0010888241,0.003903301,0.000977606,0.001953717,0.0018529315,0.0007158653,0.00031120807],"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":[0.0007458592,0.00022508609,0.52711165,0.00083778065,0.0011123682,0.0016859022,0.0039763697,0.12543267,0.0043452587,0.089631945,0.0014072369,0.24348792],"study_design_scores_gemma":[0.00002917429,0.0005656911,0.68653786,0.00030870445,0.00028721176,0.0014068614,0.0055278903,0.22846526,0.004038446,0.06453085,0.0081934,0.00010863221],"about_ca_topic_score_codex":0.001453658,"about_ca_topic_score_gemma":0.00052992377,"teacher_disagreement_score":0.0073060524,"about_ca_system_score_codex":0.0004946421,"about_ca_system_score_gemma":0.0005051437,"threshold_uncertainty_score":0.03863859},"labels":[],"label_agreement":null},{"id":"W2097977425","doi":"10.1111/j.1468-2354.2004.00123.x","title":"Barriers to Capital Accumulation and Aggregate Total Factor Productivity*","year":2004,"lang":"en","type":"article","venue":"International Economic Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Total factor productivity; Economics; Capital (architecture); Productivity; Aggregate (composite); Agricultural productivity; Factor shares; Production (economics); Econometrics; Agriculture; Macroeconomics","score_opus":0.0395561500905433,"score_gpt":0.27139115428615956,"score_spread":0.23183500419561626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097977425","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":[0.42833087,0.005465115,0.38987827,0.010384936,0.0001617529,0.000115673254,0.0015506073,0.0003584472,0.16375431],"genre_scores_gemma":[0.97373825,0.0024501563,0.0074233003,0.00013738484,0.00009716796,0.00008299787,0.00025561193,0.000030399147,0.0157847],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99971884,0.000059540365,0.000013166111,0.00006831996,0.000053759777,0.00008641091],"domain_scores_gemma":[0.99876946,0.0004824669,0.00044665512,0.00009461552,0.00011193133,0.000094953946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007519926,0.0006352176,0.0005312615,0.00089062634,0.00041221397,0.0028441846,0.000737301,0.001122478,0.007704763],"category_scores_gemma":[0.002659626,0.0003062019,0.0009650472,0.0010438762,0.0011399993,0.0035527453,0.0013952864,0.0012644111,0.0012030429],"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":[0.00006100917,0.000047994454,0.0052584843,0.00009513602,0.000049951,0.00019047021,0.00018068681,0.17538457,0.0008597364,0.80461496,0.002812941,0.010444195],"study_design_scores_gemma":[0.00004776041,0.00007227628,0.0061381836,0.00009969495,0.0000711687,0.00035141956,0.00019860489,0.23356868,0.000912033,0.7360994,0.022399712,0.00004098205],"about_ca_topic_score_codex":0.0046742694,"about_ca_topic_score_gemma":0.001966029,"teacher_disagreement_score":0.007704763,"about_ca_system_score_codex":0.0017586933,"about_ca_system_score_gemma":0.0010935065,"threshold_uncertainty_score":0.025775015},"labels":[],"label_agreement":null},{"id":"W2098464490","doi":"10.2139/ssrn.514723","title":"The Protection of Innovations","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"University of Ottawa","funders":"","keywords":"Business; Law and economics; Economics","score_opus":0.018696647623441733,"score_gpt":0.19952604663358267,"score_spread":0.18082939901014095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098464490","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":[0.12577732,0.009896208,0.25318792,0.055308416,0.0018622739,0.00011344434,0.0008396724,0.0005295146,0.5524852],"genre_scores_gemma":[0.9277585,0.0028528431,0.00844293,0.0028110766,0.0016685968,0.000082590384,0.00014960008,0.00009279105,0.056141015],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99604934,0.0012160265,0.00023141262,0.001061629,0.0009287529,0.000512851],"domain_scores_gemma":[0.98002714,0.00793344,0.0023890953,0.008136262,0.0010448657,0.0004691325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035998418,0.00069838745,0.0014384675,0.0015569266,0.0014233252,0.0057333363,0.0011474873,0.0066040335,0.01625018],"category_scores_gemma":[0.022451486,0.0004889815,0.001856436,0.0014817994,0.0072557367,0.008393731,0.0046522496,0.004802363,0.0028293931],"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":[0.000014222904,0.000007294408,0.00013091919,0.000029152572,0.000010256446,0.000033034758,0.000068686786,0.00028390088,0.00018406464,0.9913696,0.00090027036,0.00696849],"study_design_scores_gemma":[0.000013030343,0.000014697822,0.00016066828,0.000021103007,0.000010022995,0.000079921614,0.00002030132,0.00078850694,0.00032364856,0.99161845,0.006944975,0.0000047719295],"about_ca_topic_score_codex":0.0004260586,"about_ca_topic_score_gemma":0.00018331676,"teacher_disagreement_score":0.01625018,"about_ca_system_score_codex":0.001199252,"about_ca_system_score_gemma":0.0013329579,"threshold_uncertainty_score":0.054362297},"labels":[],"label_agreement":null},{"id":"W2099718107","doi":"10.5267/j.msl.2013.09.002","title":"An empirical study on long-term relationship between total factor productivity and non-oil exports in Iran","year":2013,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Term (time); Total factor productivity; Factor (programming language); Econometrics; Business; Statistics; Economics; Mathematics; Computer science; Macroeconomics","score_opus":0.06900999177693998,"score_gpt":0.2764945800521201,"score_spread":0.2074845882751801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099718107","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":[0.99833715,0.00032225053,0.00017971316,0.00011908395,0.0000050144195,0.0000028339064,0.00021620293,0.000005636724,0.00081204245],"genre_scores_gemma":[0.9985008,0.0003637257,0.00011006996,0.000013967864,0.000016747073,0.0000020612172,0.0005636649,0.0000018810152,0.00042703387],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979335,0.000031673866,0.000020235831,0.000038701415,0.000053185173,0.000062868094],"domain_scores_gemma":[0.9976611,0.00082688255,0.00092322467,0.000098627854,0.00031775553,0.00017238955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056442263,0.00021223757,0.00022877786,0.0009173873,0.00018104847,0.0005507515,0.00024360907,0.00022104326,0.0015104638],"category_scores_gemma":[0.0022405323,0.000110016,0.00045340284,0.0017514701,0.00026884326,0.0006214929,0.00023868412,0.0005627287,0.00021930067],"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":[0.000038412858,0.00006201742,0.9919756,0.000027034504,0.000055963876,0.00024912634,0.00021841584,0.0007389681,0.00020503384,0.0003023844,0.00023990162,0.0058871075],"study_design_scores_gemma":[0.000002583194,0.00004409557,0.9974158,0.000008506597,0.000023557051,0.00010191269,0.0005649892,0.0010306778,0.00015272462,0.000104410195,0.0005471386,0.0000035845048],"about_ca_topic_score_codex":0.013666159,"about_ca_topic_score_gemma":0.013084898,"teacher_disagreement_score":0.013666159,"about_ca_system_score_codex":0.00037472416,"about_ca_system_score_gemma":0.00064626796,"threshold_uncertainty_score":0.027173221},"labels":[],"label_agreement":null},{"id":"W2099984973","doi":"","title":"Regions, frictions, and migrations in a model of structural transformation","year":2010,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Nonfarm payrolls; Convergence (economics); Economics; General equilibrium theory; Economic geography; Labour economics; Econometrics; Agriculture; Geography; Microeconomics; Macroeconomics","score_opus":0.031230771559196808,"score_gpt":0.1974188954630812,"score_spread":0.16618812390388438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099984973","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":[0.84019417,0.0012678212,0.09820742,0.009156868,0.00010338081,0.00011281521,0.0011530974,0.00032744248,0.04947704],"genre_scores_gemma":[0.98592955,0.00044344,0.003160732,0.00014623448,0.00002724712,0.000049527156,0.00018899493,0.00004218149,0.010012039],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995427,0.00019432043,0.000012547615,0.0000920632,0.000023529787,0.00013499559],"domain_scores_gemma":[0.9990706,0.00031762623,0.00027923932,0.00007972184,0.000060516984,0.00019230369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009152836,0.00055207073,0.00077319704,0.0009549305,0.00087422907,0.002431674,0.0011650138,0.0014282566,0.013076821],"category_scores_gemma":[0.0037776935,0.0004093998,0.0010600439,0.0015226672,0.0023035104,0.0025813854,0.002028809,0.0011034191,0.0016758043],"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":[0.00029221553,0.00017122315,0.023215393,0.00008595252,0.00007973209,0.00062783685,0.0016470932,0.4654759,0.0006054287,0.49033535,0.005027748,0.012436127],"study_design_scores_gemma":[0.00029085283,0.0001298147,0.010786019,0.000064110085,0.00007175417,0.00027241005,0.001827608,0.5406969,0.00011601046,0.4358372,0.009858703,0.000048654525],"about_ca_topic_score_codex":0.026828194,"about_ca_topic_score_gemma":0.015030369,"teacher_disagreement_score":0.026828194,"about_ca_system_score_codex":0.0018898939,"about_ca_system_score_gemma":0.00096371403,"threshold_uncertainty_score":0.05334407},"labels":[],"label_agreement":null},{"id":"W2100599976","doi":"","title":"New Estimates of Labour, Capital and Multifactor Productivity Growth and Levels for Canadian Provinces at the Three-digit NAICS Level, 1997-2007","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Productivity; Economics; Capital (architecture); Labour economics; Numerical digit; Multifactor productivity; Econometrics; Total factor productivity; Geography; Macroeconomics; Mathematics; Arithmetic","score_opus":0.05657494141425659,"score_gpt":0.2740151479701589,"score_spread":0.21744020655590232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100599976","genre_codex":"dataset","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":[0.2685635,0.005469929,0.0070421672,0.0014983162,0.0001242845,0.00023983142,0.67015535,0.0006243118,0.04628229],"genre_scores_gemma":[0.50492465,0.007532648,0.012397156,0.00018527669,0.00006359851,0.00025396576,0.43635148,0.00016069808,0.03813046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99782854,0.00003938387,0.00008860407,0.00015061774,0.0014884233,0.00040439653],"domain_scores_gemma":[0.99275935,0.00023976216,0.00042979626,0.00016138292,0.0061484855,0.0002612939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012793349,0.0009886699,0.0006289228,0.010956487,0.0018376522,0.0019435151,0.0013133704,0.00030061408,0.0032997145],"category_scores_gemma":[0.0038559716,0.0004987666,0.0010751648,0.015954824,0.0003448438,0.00075931236,0.0011598107,0.0009538415,0.0008474216],"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":[0.00029813356,0.000089449284,0.65113187,0.0010507336,0.0006784858,0.00031167825,0.0030148781,0.032792475,0.0011840395,0.016933605,0.15959129,0.13292344],"study_design_scores_gemma":[0.000024902041,0.000019507175,0.8486861,0.00017753399,0.000120126664,0.000074867414,0.0013878882,0.0069699707,0.0014698091,0.0006792016,0.14028585,0.00010425822],"about_ca_topic_score_codex":0.9977187,"about_ca_topic_score_gemma":0.9982925,"teacher_disagreement_score":0.059375793,"about_ca_system_score_codex":0.059375793,"about_ca_system_score_gemma":0.07403495,"threshold_uncertainty_score":0.43080354},"labels":[],"label_agreement":null},{"id":"W2101719860","doi":"10.5539/ass.v8n12p249","title":"Productivity Growth in the Medium Size Malaysian-industry Level: Primal and Dual Approaches","year":2012,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Total factor productivity; Econometrics; Revenue; Economics; Dual (grammatical number); Productivity; Sample (material); Constant (computer programming); Solow residual; Order (exchange); Growth accounting; Manufacturing; Accounting; Business; Macroeconomics; Computer science; Marketing","score_opus":0.08284993723944276,"score_gpt":0.23938457112032926,"score_spread":0.1565346338808865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101719860","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":[0.8438301,0.0023717931,0.12989327,0.001329823,0.000060956063,0.00004087053,0.0008958317,0.00006697065,0.02151034],"genre_scores_gemma":[0.98560554,0.00064007594,0.011743089,0.00003389221,0.000032777978,0.000021699783,0.00023857963,0.0000068300287,0.001677602],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944276,0.00018319453,0.000033870976,0.00011967044,0.00013073732,0.00008986207],"domain_scores_gemma":[0.99679035,0.0015176683,0.0008381428,0.00022845101,0.00045861004,0.0001668154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018586975,0.00041963928,0.00044513505,0.0032277696,0.0002863617,0.0026308468,0.0005427656,0.00037285697,0.0013750913],"category_scores_gemma":[0.006681205,0.00023954043,0.00068285485,0.0024947608,0.0009749978,0.0019770965,0.001532828,0.0010340657,0.00023425373],"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":[0.00039541052,0.00012475127,0.5001131,0.00036180075,0.00028573888,0.000838352,0.0014078906,0.090450995,0.002480524,0.2212579,0.0013878728,0.18089564],"study_design_scores_gemma":[0.000022286871,0.00016164477,0.26301384,0.00021726183,0.00012825773,0.00064662227,0.002169857,0.5626856,0.0037670375,0.15584962,0.011248372,0.000089565394],"about_ca_topic_score_codex":0.0052018194,"about_ca_topic_score_gemma":0.003373918,"teacher_disagreement_score":0.0052018194,"about_ca_system_score_codex":0.0014752714,"about_ca_system_score_gemma":0.0006629359,"threshold_uncertainty_score":0.010703921},"labels":[],"label_agreement":null},{"id":"W2102239237","doi":"10.2139/ssrn.1954652","title":"Capital-Labor Substitution, Structural Change and Growth","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"McGill University","funders":"","keywords":"Substitution (logic); Structural change; Economics; Labour economics; Market economy; Computer science","score_opus":0.03160366957195864,"score_gpt":0.19609513034415077,"score_spread":0.16449146077219212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102239237","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":[0.97144294,0.003062032,0.0105260275,0.0032568595,0.00008071774,0.00003171808,0.0004290832,0.00007671936,0.011093944],"genre_scores_gemma":[0.9958562,0.0008064657,0.0005497762,0.00006519458,0.000046895064,0.0000070136043,0.000115080824,0.000007388849,0.002545952],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996166,0.00013661754,0.000030002539,0.00006999209,0.00003934345,0.00010736179],"domain_scores_gemma":[0.9949586,0.0028997802,0.001163328,0.00031191186,0.0001922546,0.0004742007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016189797,0.00039053443,0.0005450462,0.0007802667,0.0005879357,0.0018868186,0.000466413,0.0013440908,0.012275466],"category_scores_gemma":[0.0075382604,0.0001723121,0.0005068644,0.0018420585,0.0016457151,0.0023008347,0.00087151845,0.00080820604,0.00086243317],"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":[0.0018145163,0.0006419557,0.4995842,0.00047469742,0.00032407537,0.0024155765,0.0021083574,0.07536031,0.0034664338,0.3114405,0.0056588436,0.096710525],"study_design_scores_gemma":[0.00016087375,0.0005554349,0.2890758,0.000105673964,0.00020813014,0.0011612105,0.004315797,0.06961131,0.0020484868,0.62220484,0.010489832,0.0000626073],"about_ca_topic_score_codex":0.007882115,"about_ca_topic_score_gemma":0.010195312,"teacher_disagreement_score":0.012275466,"about_ca_system_score_codex":0.001277739,"about_ca_system_score_gemma":0.0010782107,"threshold_uncertainty_score":0.041065514},"labels":[],"label_agreement":null},{"id":"W2102370463","doi":"","title":"Frontiers and Opportunities in Productivity Research","year":2014,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Developing country; Human capital; Economics; Capital (architecture); Business; Economic growth; Geography","score_opus":0.11756710918088206,"score_gpt":0.29009421059033824,"score_spread":0.17252710140945618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102370463","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010819801,0.42756554,0.019057784,0.48535174,0.0059452746,0.000041158157,0.00030970853,0.0001751035,0.050733846],"genre_scores_gemma":[0.33911517,0.563831,0.027798196,0.0248382,0.03373786,0.00027751693,0.00052008685,0.00014164342,0.009740345],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9831928,0.008345593,0.0009252012,0.0020537216,0.0032703634,0.0022122972],"domain_scores_gemma":[0.8858696,0.085644215,0.004297378,0.0050010784,0.011106572,0.00808119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04622447,0.0013202758,0.0018992561,0.008397907,0.003755742,0.01775801,0.002996133,0.008629154,0.012673384],"category_scores_gemma":[0.043672886,0.00060812227,0.0014885227,0.010741865,0.018666586,0.038185295,0.007715215,0.011672204,0.0024670346],"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":[0.00014932826,0.00019455119,0.002778361,0.0014863088,0.000037837595,0.00021294013,0.0024528329,0.0011091447,0.00030685993,0.80021733,0.02805921,0.16299537],"study_design_scores_gemma":[0.000028346707,0.00010440138,0.0023266766,0.00232874,0.000015531588,0.00020512092,0.0061492925,0.0014466931,0.00025174808,0.8073118,0.17976421,0.000067479465],"about_ca_topic_score_codex":0.002064626,"about_ca_topic_score_gemma":0.0015725018,"teacher_disagreement_score":0.04622447,"about_ca_system_score_codex":0.008930967,"about_ca_system_score_gemma":0.013563752,"threshold_uncertainty_score":0.2444613},"labels":[],"label_agreement":null},{"id":"W2102605231","doi":"","title":"The Measurement of Banking Services in the System of National Accounts","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"National accounts; Context (archaeology); Financial services; Business; Productivity; Financial intermediary; Accounting; Accounting information system; Service (business); Financial sector; Accounting management; Economics; Financial system; Finance; Macroeconomics; Marketing","score_opus":0.0896053285482512,"score_gpt":0.2791705162987121,"score_spread":0.18956518775046088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102605231","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":[0.50420475,0.007611826,0.32600418,0.0070905574,0.0009002253,0.00034137073,0.015533253,0.00080903183,0.13750482],"genre_scores_gemma":[0.9464621,0.0013746081,0.04693276,0.00015551777,0.00022057121,0.00011573114,0.0019706115,0.00005676863,0.002711249],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9888986,0.0047852527,0.001168349,0.0008180905,0.0040483647,0.00028144187],"domain_scores_gemma":[0.97436416,0.0090238815,0.0066677644,0.0031311724,0.006391937,0.00042114104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005228856,0.0006245206,0.00058627484,0.0047473935,0.00096843025,0.0061349166,0.0012479394,0.0008937475,0.002876925],"category_scores_gemma":[0.050463766,0.0003719568,0.00037808387,0.013547465,0.0017514443,0.0055210954,0.0024858604,0.0013961623,0.00072306924],"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":[0.00016637373,0.000058124242,0.24081792,0.0005931477,0.00021358726,0.00016779172,0.0020745224,0.013923619,0.0017451763,0.57414114,0.0062533715,0.15984525],"study_design_scores_gemma":[0.000034747696,0.000224632,0.28315726,0.0010694041,0.0002748419,0.0009672213,0.0029103896,0.16038862,0.011263614,0.37152034,0.16796842,0.00022060888],"about_ca_topic_score_codex":0.012760875,"about_ca_topic_score_gemma":0.010018563,"teacher_disagreement_score":0.012760875,"about_ca_system_score_codex":0.0044446033,"about_ca_system_score_gemma":0.0026913572,"threshold_uncertainty_score":0.03224796},"labels":[],"label_agreement":null},{"id":"W2102903807","doi":"","title":"Canada’s Productivity Performance in International Perspective","year":2016,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"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":"Perspective (graphical); Productivity; Regional science; Computer science; Economics; Sociology; Economic growth; Artificial intelligence","score_opus":0.018495873064528632,"score_gpt":0.19009525849627798,"score_spread":0.17159938543174935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102903807","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":[0.063264236,0.021197913,0.0009200543,0.057004683,0.0012145822,0.00007227828,0.01582652,0.00038553137,0.84011406],"genre_scores_gemma":[0.69208425,0.032878887,0.0034315388,0.005324249,0.0005786521,0.000080436206,0.011186893,0.00029165825,0.25414342],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9936479,0.00020468222,0.00016265473,0.00040220132,0.0033996184,0.0021830646],"domain_scores_gemma":[0.9895347,0.00031649132,0.00036768086,0.00019553192,0.007649262,0.0019364272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023905174,0.0008233516,0.0007047441,0.009480701,0.006839802,0.013283728,0.0013107712,0.0011013534,0.01797412],"category_scores_gemma":[0.0066700904,0.0002633543,0.0006520598,0.019837243,0.001867214,0.0018995997,0.0020293263,0.0020556336,0.0021330928],"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":[0.00023406281,0.00015521694,0.066937506,0.00064320915,0.00017756644,0.000589514,0.0041853744,0.004109282,0.0009367916,0.3012464,0.41388965,0.20689537],"study_design_scores_gemma":[0.000024863904,0.000057814006,0.14932981,0.00052397937,0.00006648167,0.00014408505,0.005066962,0.0017516655,0.00084728806,0.005298511,0.83678114,0.00010731475],"about_ca_topic_score_codex":0.99488777,"about_ca_topic_score_gemma":0.9944096,"teacher_disagreement_score":0.13186403,"about_ca_system_score_codex":0.13186403,"about_ca_system_score_gemma":0.22315206,"threshold_uncertainty_score":0.95674497},"labels":[],"label_agreement":null},{"id":"W2102994184","doi":"","title":"The Country-Product-Dummy Method: A Stochastic Approach to the Computation of Purchasing Power Parities in the ICP","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":44,"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":"Purchasing power; Product (mathematics); Index (typography); Purchasing; Operations research; Mathematics; Econometrics; Economics; Mathematical economics; Statistics; Computer science; Operations management; Macroeconomics","score_opus":0.05871800740240235,"score_gpt":0.3077112613265061,"score_spread":0.24899325392410376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102994184","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":[0.003549821,0.000054820932,0.99505144,0.00011579941,0.00005113212,0.000031664233,0.00019667548,0.00029319237,0.0006554599],"genre_scores_gemma":[0.092375845,0.00034303445,0.9008829,0.00013461226,0.00027868667,0.00039386615,0.0014830603,0.0006260383,0.003481928],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966474,0.0021849216,0.00011679354,0.00033387783,0.0005261831,0.00019079472],"domain_scores_gemma":[0.9877822,0.008725059,0.0006890587,0.0016994845,0.00082880387,0.00027528053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007901309,0.0007487465,0.001275568,0.0025359702,0.00078365265,0.0018015767,0.00255608,0.0011116067,0.013624424],"category_scores_gemma":[0.034796216,0.0007925176,0.0015311568,0.004227352,0.0010168934,0.0025194352,0.0027499425,0.0029939944,0.0033478641],"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":[0.00039805335,0.00019702919,0.0093327705,0.00020294312,0.0003105714,0.00032104447,0.0004318958,0.19041204,0.001373051,0.44907838,0.017639723,0.3303025],"study_design_scores_gemma":[0.00007815228,0.000053337935,0.0013342111,0.000030618303,0.000031421823,0.00010901161,0.00005158486,0.8188752,0.00074748514,0.16871914,0.0099193845,0.000050526272],"about_ca_topic_score_codex":0.0046747127,"about_ca_topic_score_gemma":0.004365593,"teacher_disagreement_score":0.013624424,"about_ca_system_score_codex":0.0005145447,"about_ca_system_score_gemma":0.0021503249,"threshold_uncertainty_score":0.04557824},"labels":[],"label_agreement":null},{"id":"W2103032371","doi":"","title":"The Challenge of Total Factor Productivity","year":2000,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Total factor productivity; Productivity; Production (economics); Economics; Multifactor productivity; Factor (programming language); Productivity model; Agricultural economics; Industrial organization; Operations management; Econometrics; Economic growth; Computer science; Macroeconomics","score_opus":0.02915030781666864,"score_gpt":0.23148962239029452,"score_spread":0.2023393145736259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103032371","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014720212,0.1682909,0.22052407,0.32302317,0.011899225,0.00010003187,0.0027293088,0.00080861436,0.25790444],"genre_scores_gemma":[0.6234964,0.1677778,0.09154229,0.03387417,0.034610633,0.00048458064,0.0018692637,0.0010053617,0.045339536],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.990772,0.002577973,0.00052735186,0.0017123712,0.0039239316,0.00048629375],"domain_scores_gemma":[0.9708265,0.0147479,0.0016387478,0.003676035,0.0081842495,0.0009264621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016788835,0.0017626355,0.002305497,0.0058672796,0.0024545453,0.010509704,0.0033919425,0.0031773837,0.007235613],"category_scores_gemma":[0.04351397,0.0005396046,0.0011860778,0.008650992,0.015760822,0.024042036,0.0066519147,0.009433419,0.0028662793],"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":[0.000021482756,0.000011771894,0.0005820606,0.00021635489,0.00003632973,0.000027750846,0.00023743542,0.0009207763,0.00004992114,0.9414423,0.015073592,0.04138027],"study_design_scores_gemma":[0.000006281068,0.00001004726,0.00030931795,0.00010719817,0.000005531738,0.000030582203,0.00016009722,0.00052829593,0.0000525772,0.96318185,0.03559797,0.000010242338],"about_ca_topic_score_codex":0.012382548,"about_ca_topic_score_gemma":0.0045278473,"teacher_disagreement_score":0.016788835,"about_ca_system_score_codex":0.0063278275,"about_ca_system_score_gemma":0.005600041,"threshold_uncertainty_score":0.08878893},"labels":[],"label_agreement":null},{"id":"W2103317444","doi":"10.1257/aer.101.4.1144","title":"Read All about It!! What Happens Following a Technology Shock?","year":2011,"lang":"en","type":"article","venue":"American Economic Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":165,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Shock (circulatory); Commercialization; Economics; Investment (military); Technology shock; Productivity; Technological change; Macroeconomics; Marketing; Business; Political science; Monetary policy; Law","score_opus":0.05794900462378904,"score_gpt":0.2606925255695091,"score_spread":0.20274352094572007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103317444","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28101167,0.026467487,0.0041959262,0.4567859,0.013751766,0.00013947244,0.008795084,0.00071094465,0.20814186],"genre_scores_gemma":[0.8442306,0.029058488,0.0014121496,0.041856937,0.0074161324,0.00012274698,0.0028289857,0.00033807757,0.07273572],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9991359,0.00028372317,0.000049308117,0.00009983099,0.00023131318,0.0001999523],"domain_scores_gemma":[0.99133205,0.0030315362,0.0021145176,0.00036852193,0.002129036,0.0010243127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014492542,0.00018188453,0.0004579978,0.0013792976,0.0011026531,0.00463307,0.0005709041,0.0025901082,0.02915573],"category_scores_gemma":[0.022817548,0.00015299473,0.0003185597,0.0030164921,0.0013058337,0.0049084653,0.0010997133,0.0019504246,0.011500714],"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":[0.00047062614,0.00025136888,0.14311513,0.0014985508,0.000120986144,0.0019650946,0.010053548,0.0011936462,0.0007782531,0.03867641,0.5181158,0.28376058],"study_design_scores_gemma":[0.00007293945,0.0003965042,0.38717625,0.001570201,0.00010793649,0.0015497431,0.0353383,0.0012729664,0.000952034,0.054671552,0.5167277,0.00016399656],"about_ca_topic_score_codex":0.0063342615,"about_ca_topic_score_gemma":0.0047042714,"teacher_disagreement_score":0.02915573,"about_ca_system_score_codex":0.0011272588,"about_ca_system_score_gemma":0.00068162923,"threshold_uncertainty_score":0.09753561},"labels":[],"label_agreement":null},{"id":"W2104036432","doi":"10.7202/601024ar","title":"Vers une mesure de la progressivité technologique","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","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":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Technological change; Returns to scale; Econometrics; Technical change; Function (biology); Decomposition; Scale (ratio); Economics; Marginal cost; Production (economics); Variable (mathematics); Constant (computer programming); Mathematics; Computer science; Microeconomics","score_opus":0.023541679594570663,"score_gpt":0.23128681349350816,"score_spread":0.2077451338989375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104036432","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":[0.26899403,0.10380224,0.21602467,0.04404668,0.0049830684,0.00026125848,0.011155093,0.0025256234,0.34820735],"genre_scores_gemma":[0.77083665,0.053007994,0.080006815,0.0018759556,0.0039807525,0.000362908,0.002218428,0.00036513607,0.08734541],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9950322,0.001344464,0.00020006527,0.0011156123,0.0020288453,0.00027875428],"domain_scores_gemma":[0.9940063,0.0028816718,0.0010396733,0.00074734894,0.0010386299,0.00028643748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00415149,0.002136144,0.001242179,0.005933015,0.0015944912,0.010153505,0.0010089825,0.0021527738,0.016276758],"category_scores_gemma":[0.013622566,0.00055972696,0.0019588927,0.007333788,0.00626798,0.008456107,0.0012549165,0.006854439,0.0037971188],"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":[0.00049939967,0.00016806833,0.0125474185,0.0011814483,0.0003943635,0.00055439735,0.0035605852,0.016959978,0.0062262677,0.75261664,0.009443299,0.19584821],"study_design_scores_gemma":[0.00015349167,0.0006450133,0.09449755,0.0013036164,0.00017282288,0.0014575293,0.0023158467,0.01825409,0.010164385,0.1461201,0.724503,0.0004125568],"about_ca_topic_score_codex":0.12597834,"about_ca_topic_score_gemma":0.055978905,"teacher_disagreement_score":0.12597834,"about_ca_system_score_codex":0.012716528,"about_ca_system_score_gemma":0.003442876,"threshold_uncertainty_score":0.25049013},"labels":[],"label_agreement":null},{"id":"W2104094010","doi":"10.2139/ssrn.465161","title":"Sustainability and Substitution of Exhaustible Natural Resources: How Resource Prices Affect Long-term R&amp;D Investments","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":73,"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 Calgary","funders":"","keywords":"Economics; Sustainability; Natural resource; Substitution (logic); Microeconomics; Endogenous growth theory; Natural capital; Capital (architecture); Balance (ability); Resource (disambiguation); Natural resource economics; Human capital; Market economy","score_opus":0.016140216799142498,"score_gpt":0.22379140277036705,"score_spread":0.20765118597122456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104094010","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":[0.9815745,0.00095492176,0.0024188627,0.0023772048,0.00002508124,0.0000069249118,0.0001391982,0.000015954987,0.012487497],"genre_scores_gemma":[0.99777055,0.00027443934,0.00018335046,0.0000690433,0.000009128656,0.0000016430179,0.000025106665,0.000006152712,0.0016605838],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99978477,0.00006354744,0.000015215459,0.000034956178,0.000035349178,0.00006613915],"domain_scores_gemma":[0.99724907,0.0013449334,0.00073147385,0.00010672932,0.00024533598,0.0003224373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075543043,0.00022416339,0.00036982226,0.0003957038,0.00038122505,0.003207954,0.00046698583,0.0018171066,0.00824243],"category_scores_gemma":[0.0048677316,0.00023572978,0.00036842204,0.00065253756,0.0009815837,0.0027065587,0.0007441474,0.000722854,0.00057251524],"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":[0.0026395314,0.0011760655,0.37437472,0.0005200898,0.0006120019,0.0033362573,0.00170961,0.14176938,0.02599135,0.33651716,0.007121268,0.1042327],"study_design_scores_gemma":[0.00018452079,0.00040637163,0.31064072,0.00007334118,0.00033779925,0.00071334216,0.0040370543,0.06380692,0.0064066546,0.59934,0.013942333,0.00011094019],"about_ca_topic_score_codex":0.004576666,"about_ca_topic_score_gemma":0.009198678,"teacher_disagreement_score":0.00824243,"about_ca_system_score_codex":0.0012364502,"about_ca_system_score_gemma":0.00079686206,"threshold_uncertainty_score":0.027573645},"labels":[],"label_agreement":null},{"id":"W2104243673","doi":"10.1017/s1365100512000594","title":"PERSISTENCE IN CONVERGENCE","year":2013,"lang":"en","type":"article","venue":"Macroeconomic Dynamics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Economics; Convergence (economics); Human capital; Econometrics; Divergence (linguistics); Per capita income; Per capita; Capital (architecture); Macroeconomics; Economic growth; Geography","score_opus":0.0201025988262081,"score_gpt":0.18417571497634402,"score_spread":0.16407311615013592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104243673","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":[0.7204568,0.0031774899,0.14865941,0.0067919428,0.00026264414,0.00013996029,0.0007259096,0.00036176515,0.11942411],"genre_scores_gemma":[0.99347234,0.00035824857,0.0023512165,0.00021394691,0.00009875267,0.000057288995,0.00014748328,0.000036295693,0.0032644419],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99785787,0.00054908043,0.0001919745,0.0007418406,0.0002771917,0.00038202287],"domain_scores_gemma":[0.98065317,0.010204304,0.004011483,0.00288488,0.0013758919,0.00087023585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004078688,0.00033944368,0.0008352681,0.0018195896,0.0009600798,0.003151009,0.00095104123,0.0012642455,0.015406806],"category_scores_gemma":[0.037810754,0.00025823282,0.0008617128,0.0015083746,0.0023613507,0.004358513,0.0037786432,0.0017982681,0.0011673771],"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":[0.00027491248,0.00011014132,0.12154919,0.00041474338,0.00028007626,0.0007650851,0.0037646333,0.018165728,0.0009067169,0.76595366,0.0039368654,0.083878264],"study_design_scores_gemma":[0.000065276225,0.000249231,0.05935502,0.00029656233,0.000105272506,0.0011950772,0.0031196927,0.038278576,0.00096740026,0.8790499,0.017240915,0.00007712088],"about_ca_topic_score_codex":0.0010439263,"about_ca_topic_score_gemma":0.0006056957,"teacher_disagreement_score":0.015406806,"about_ca_system_score_codex":0.0009949171,"about_ca_system_score_gemma":0.00063133397,"threshold_uncertainty_score":0.05154091},"labels":[],"label_agreement":null},{"id":"W2104573073","doi":"10.7202/012842ar","title":"Effets de la diffusion des technologies de l’information sur la croissance potentielle et observée","year":2006,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.018549563919881405,"score_gpt":0.20813077618397627,"score_spread":0.18958121226409486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104573073","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":[0.9542369,0.0028571165,0.00585989,0.0016939854,0.00006461186,0.00022984354,0.0016265422,0.00010806095,0.03332294],"genre_scores_gemma":[0.98284274,0.0011852726,0.0018891508,0.00018552139,0.00004800249,0.0001380392,0.00072816375,0.00003129733,0.012951777],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99658257,0.0013087947,0.00016130069,0.00054931105,0.0009586494,0.00043936356],"domain_scores_gemma":[0.9550818,0.031480223,0.00574982,0.0018588535,0.0045680716,0.0012612015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043258728,0.0004766903,0.00060733396,0.001480439,0.0005471222,0.0033330824,0.00069024146,0.0014968507,0.013494454],"category_scores_gemma":[0.02059199,0.0003250625,0.0013835311,0.0017368607,0.0008416986,0.002451086,0.0012922727,0.0017804836,0.0018646342],"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":[0.003619134,0.0015688855,0.692919,0.0021432498,0.0019907593,0.0012009416,0.009910892,0.028138174,0.016717156,0.03182135,0.0046701957,0.2053003],"study_design_scores_gemma":[0.00014577183,0.0023267574,0.93397254,0.000290735,0.0005747009,0.00028826814,0.0055267103,0.009829442,0.0082278075,0.007169334,0.031529203,0.00011870123],"about_ca_topic_score_codex":0.013368286,"about_ca_topic_score_gemma":0.008991256,"teacher_disagreement_score":0.013494454,"about_ca_system_score_codex":0.00219946,"about_ca_system_score_gemma":0.0013723706,"threshold_uncertainty_score":0.045143485},"labels":[],"label_agreement":null},{"id":"W2104681781","doi":"10.1016/j.red.2005.07.002","title":"The Galor–Weil model revisited: A quantitative exercise","year":2005,"lang":"en","type":"article","venue":"Review of Economic Dynamics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":140,"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":"Economics; Subsistence agriculture; Fertility; Population growth; Population; Demographic transition; Per capita; Overlapping generations model; Economic stagnation; Per capita income; Econometrics; Keynesian economics; Macroeconomics; Geography; Demography; Agriculture; Sociology","score_opus":0.030346069692751505,"score_gpt":0.26150736287783033,"score_spread":0.23116129318507883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104681781","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":[0.09780706,0.04643682,0.47872958,0.1713093,0.002155149,0.000116153395,0.00096411846,0.0005249102,0.20195688],"genre_scores_gemma":[0.8934992,0.028033396,0.035005253,0.004665895,0.0058195014,0.00019509523,0.00029646824,0.0002883524,0.03219685],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986161,0.0007537938,0.0000460244,0.00011747487,0.0003490142,0.00011751342],"domain_scores_gemma":[0.9939177,0.004106817,0.00046515054,0.00067094614,0.00055860775,0.00028069736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005752624,0.0011955019,0.0023502915,0.0023830703,0.0013605963,0.0040650475,0.002662367,0.0044830805,0.010987161],"category_scores_gemma":[0.017920457,0.0005511858,0.0014747088,0.0028471726,0.005224087,0.014374193,0.0022414322,0.00471798,0.0013548023],"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":[0.00000734163,0.0000092343225,0.000056900426,0.000027096257,0.0000074293257,0.000016260958,0.00003488425,0.0022856279,0.000033488526,0.9928686,0.0024881412,0.0021650894],"study_design_scores_gemma":[0.000005640575,0.0000033294662,0.00004394575,0.000017008144,0.000003309699,0.00001423114,0.00002092237,0.009669555,0.000016624183,0.9888881,0.0013116306,0.000005722608],"about_ca_topic_score_codex":0.0028368926,"about_ca_topic_score_gemma":0.0016496175,"teacher_disagreement_score":0.010987161,"about_ca_system_score_codex":0.0022818563,"about_ca_system_score_gemma":0.0015894792,"threshold_uncertainty_score":0.03675574},"labels":[],"label_agreement":null},{"id":"W2104736828","doi":"10.7202/800778ar","title":"Progrès technique augmentant le produit marginal des facteurs et productivité dans l’industrie manufacturière canadienne","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto; Acadia University","funders":"","keywords":"Technical change; Productivity; Econometrics; Economics; Technological change; Production (economics); Microeconomics; Macroeconomics","score_opus":0.05132613298899307,"score_gpt":0.21803526986534288,"score_spread":0.1667091368763498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104736828","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":[0.70608133,0.011221223,0.24668427,0.0017367525,0.0002684547,0.000077298275,0.00075542275,0.0004849163,0.03269038],"genre_scores_gemma":[0.88027817,0.0044778427,0.092976116,0.000076157885,0.00016784969,0.00012802376,0.0004489734,0.00011539519,0.0213314],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99884254,0.00054448907,0.000040431532,0.00019030173,0.00031000955,0.00007221076],"domain_scores_gemma":[0.9928276,0.0058083544,0.00034198476,0.00037742537,0.000545799,0.000098709854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029484665,0.00052987534,0.00038432542,0.001380713,0.00031347477,0.0015951102,0.00062958006,0.00047974562,0.006271373],"category_scores_gemma":[0.010342204,0.00023135905,0.00092022156,0.0016076281,0.00095678424,0.0009979131,0.0005856962,0.0011774141,0.0010148861],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092449173,0.00030317367,0.05694761,0.0007629549,0.0005570496,0.00056851195,0.0019426622,0.12624145,0.023456333,0.18799095,0.002876845,0.5974279],"study_design_scores_gemma":[0.00032319324,0.0012276019,0.3235654,0.0003898796,0.0005616029,0.0013997016,0.0014726314,0.3958916,0.037443694,0.13416463,0.103286006,0.0002741132],"about_ca_topic_score_codex":0.024037298,"about_ca_topic_score_gemma":0.0204225,"teacher_disagreement_score":0.9982364,"about_ca_system_score_codex":0.001763609,"about_ca_system_score_gemma":0.0015430988,"threshold_uncertainty_score":0.04779476},"labels":[],"label_agreement":null},{"id":"W2104869248","doi":"10.7202/012843ar","title":"Qu’en est-il des externalités du capital des technologies de l’information? Évidence basée sur le Canada et les États-Unis","year":2005,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Microsemi (Canada); Statistics Canada","funders":"","keywords":"Humanities; Philosophy","score_opus":0.01542524302787294,"score_gpt":0.15239613519521003,"score_spread":0.1369708921673371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104869248","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":[0.73738766,0.035757884,0.01586608,0.017578462,0.000407621,0.0005420093,0.02371913,0.00017945802,0.16856177],"genre_scores_gemma":[0.9603271,0.010963649,0.003957422,0.0015189451,0.00011803328,0.00021529112,0.0037587904,0.000047843176,0.019092964],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9914629,0.001451247,0.00049134163,0.0009823263,0.004638113,0.0009741391],"domain_scores_gemma":[0.94980806,0.02516461,0.006987493,0.002376611,0.014698229,0.0009650463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007483768,0.00052483764,0.00090514077,0.0050975056,0.002382889,0.006650286,0.0010957344,0.00095072907,0.0136233475],"category_scores_gemma":[0.031744987,0.00035071216,0.001392388,0.011676743,0.0030032606,0.0026364918,0.0023104642,0.0013166374,0.0006790597],"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":[0.00061308895,0.00013744581,0.7848662,0.002770035,0.0024376751,0.0006096324,0.004225632,0.009943556,0.00060936244,0.049565405,0.013855877,0.13036606],"study_design_scores_gemma":[0.00007043647,0.000110439825,0.88046795,0.0032316598,0.0020581642,0.00018460756,0.010660583,0.0053949878,0.0021177547,0.010405475,0.08519936,0.00009859361],"about_ca_topic_score_codex":0.9143769,"about_ca_topic_score_gemma":0.92395735,"teacher_disagreement_score":0.085623085,"about_ca_system_score_codex":0.026021512,"about_ca_system_score_gemma":0.041626044,"threshold_uncertainty_score":0.18880016},"labels":[],"label_agreement":null},{"id":"W2104921885","doi":"10.7202/1008670ar","title":"Innovation et croissance économique: rôle et enjeux du financement des PME","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Economics; Philosophy","score_opus":0.05000970787719745,"score_gpt":0.2608734531037691,"score_spread":0.21086374522657164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104921885","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":[0.5453646,0.10046633,0.08347418,0.06943571,0.0012066542,0.00011916207,0.0005909159,0.00015149837,0.19919097],"genre_scores_gemma":[0.95369166,0.020017631,0.004973839,0.00043916353,0.000958845,0.000042889973,0.0000683064,0.000020682657,0.019786986],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988451,0.0003655172,0.000055154407,0.00016374736,0.00039500787,0.00017557846],"domain_scores_gemma":[0.9939367,0.0037174022,0.0009458894,0.00032438542,0.0007131516,0.0003625282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025362582,0.00036801747,0.0004839764,0.0016979326,0.00076300063,0.004546023,0.00047378388,0.0019989384,0.005413482],"category_scores_gemma":[0.0105368085,0.00019451226,0.0005691848,0.0020195404,0.002756027,0.0049345093,0.0012390675,0.001958707,0.00044814],"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":[0.0001222675,0.00007973158,0.020057928,0.0003088759,0.000045077995,0.00027887584,0.0012451884,0.0047329497,0.0014574153,0.8780854,0.0028712759,0.090715006],"study_design_scores_gemma":[0.000052981384,0.00034788682,0.07758524,0.00085848465,0.00006606266,0.0010501485,0.0016878204,0.017124638,0.003639467,0.7316517,0.1658294,0.000106162486],"about_ca_topic_score_codex":0.0058460627,"about_ca_topic_score_gemma":0.003440163,"teacher_disagreement_score":0.0058460627,"about_ca_system_score_codex":0.0032747798,"about_ca_system_score_gemma":0.0021852779,"threshold_uncertainty_score":0.023760319},"labels":[],"label_agreement":null},{"id":"W2105254776","doi":"10.1287/isre.2014.0534","title":"<b>Research Commentary</b>—Using Income Accounting as the Theoretical Basis for Measuring IT Productivity","year":2014,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Accounting identity; Productivity; Econometrics; Economics; Context (archaeology); Growth accounting; Wage; Total factor productivity; Accounting information system; Accounting; Labour economics; Throughput accounting; Financial accounting; Macroeconomics","score_opus":0.1589105815409553,"score_gpt":0.3442015010045376,"score_spread":0.1852909194635823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105254776","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":[0.0003463792,0.0040605436,0.0005642468,0.94467485,0.041635238,0.000017859225,0.00039798452,0.000053772015,0.008249121],"genre_scores_gemma":[0.012294886,0.006058684,0.0019833895,0.8936271,0.0769285,0.00012902143,0.00033775275,0.00013600814,0.008504665],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98828214,0.003293785,0.0009740292,0.0018288171,0.0050406465,0.0005806146],"domain_scores_gemma":[0.8817971,0.06355847,0.004111031,0.0053573325,0.042223405,0.0029525978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011696642,0.0006321631,0.0008052388,0.0025211193,0.004036743,0.006035862,0.0044511766,0.015397731,0.018870473],"category_scores_gemma":[0.078826606,0.0004278496,0.0011967124,0.0036963986,0.008274235,0.005814952,0.0021237158,0.017215157,0.013801626],"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":[0.000015566196,0.000008687108,0.00025958635,0.00016591596,0.000007561201,0.00005375305,0.0001624927,0.000029410903,0.0000912855,0.01201462,0.98118114,0.006010055],"study_design_scores_gemma":[0.000019437517,0.000016529539,0.0013736489,0.001226189,0.000016327276,0.00018902485,0.00085197703,0.000233364,0.00038034568,0.014749152,0.9808914,0.000052651587],"about_ca_topic_score_codex":0.040348805,"about_ca_topic_score_gemma":0.045449182,"teacher_disagreement_score":0.040348805,"about_ca_system_score_codex":0.007259025,"about_ca_system_score_gemma":0.01015257,"threshold_uncertainty_score":0.08022791},"labels":[],"label_agreement":null},{"id":"W2105415774","doi":"10.1142/s0219877010002045","title":"TECHNICAL EFFICIENCY OF EFFORTS TO ENHANCE INNOVATIVENESS IN THE EUROPEAN UNION","year":2010,"lang":"en","type":"article","venue":"International Journal of Innovation and Technology Management","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Universidad de Navarra","keywords":"Scope (computer science); Investment (military); Scale (ratio); Business; European union; Industrial organization; Marketing; Computer science; International trade; Political science","score_opus":0.012485795523950252,"score_gpt":0.25645259166811873,"score_spread":0.2439667961441685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105415774","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":[0.93766385,0.0014071845,0.008923122,0.00034389002,0.000018443312,0.000024064253,0.00017537354,0.00003727656,0.05140679],"genre_scores_gemma":[0.9973259,0.00026765038,0.0010679263,0.000024784758,0.0000112852995,0.000011050307,0.00010885396,0.0000051174343,0.0011774073],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959857,0.0018085984,0.0003455395,0.00051339203,0.00085898506,0.00048777094],"domain_scores_gemma":[0.9854146,0.0072684614,0.0039228043,0.0012433153,0.0017472004,0.00040353238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0075561292,0.00025440322,0.000549303,0.0041307067,0.00031694837,0.002975068,0.00044473697,0.00066769845,0.0018555889],"category_scores_gemma":[0.02163411,0.00014971672,0.00055612146,0.00501207,0.0011920189,0.0017399497,0.0022130474,0.00035079225,0.00023399344],"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":[0.0005521765,0.00036692646,0.3431915,0.00039340506,0.0005711561,0.00035637137,0.0015574504,0.13888144,0.0020308024,0.29919332,0.0019036459,0.21100175],"study_design_scores_gemma":[0.00007922974,0.0005381394,0.8161112,0.0002064244,0.00019109462,0.00028511178,0.0018350139,0.051080547,0.003539348,0.11033478,0.015746597,0.00005244043],"about_ca_topic_score_codex":0.0018972091,"about_ca_topic_score_gemma":0.00092256203,"teacher_disagreement_score":0.0075561292,"about_ca_system_score_codex":0.0017212975,"about_ca_system_score_gemma":0.00088528596,"threshold_uncertainty_score":0.0399611},"labels":[],"label_agreement":null},{"id":"W2106432057","doi":"10.1111/roiw.12139","title":"Economic Growth in <scp>C</scp>anada and the <scp>U</scp>nited <scp>S</scp>tates: Supply‐Push or Demand‐Pull?","year":2014,"lang":"en","type":"article","venue":"Review of Income and Wealth","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada; Innovation, Science and Economic Development Canada","funders":"","keywords":"Economics; Value (mathematics); Microeconomics; Mathematics","score_opus":0.014196535457567189,"score_gpt":0.22491588459493195,"score_spread":0.21071934913736476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106432057","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":[0.795897,0.045990895,0.0027186023,0.0061550904,0.0005471854,0.000033705535,0.0031187336,0.00006128679,0.14547758],"genre_scores_gemma":[0.96808374,0.01623908,0.0007509716,0.00014529648,0.00010035649,0.000025797139,0.0011219578,0.000010344556,0.013522441],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99985373,0.000031507185,0.000008810176,0.000021397695,0.000056078356,0.000028495306],"domain_scores_gemma":[0.99950624,0.00008150755,0.00014058403,0.00002275401,0.00020097135,0.00004795033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035041154,0.00014109927,0.00017728069,0.001764149,0.00038623108,0.001449346,0.00017543852,0.00022122353,0.0017658107],"category_scores_gemma":[0.0011010865,0.00008947117,0.0003122804,0.0035086062,0.00022823799,0.0007522169,0.0005109946,0.00044111625,0.0002475652],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031199594,0.00012552367,0.4866574,0.0007887259,0.000538291,0.001160014,0.0007574065,0.012551435,0.0019565616,0.11051319,0.048706364,0.33593315],"study_design_scores_gemma":[0.00002505724,0.00015731054,0.71113735,0.0005515903,0.00020883793,0.00047332194,0.0018766184,0.011295228,0.0014997276,0.015188068,0.25754812,0.000038759328],"about_ca_topic_score_codex":0.067015745,"about_ca_topic_score_gemma":0.13860987,"teacher_disagreement_score":0.93298423,"about_ca_system_score_codex":0.0015147114,"about_ca_system_score_gemma":0.0019314123,"threshold_uncertainty_score":0.13325131},"labels":[],"label_agreement":null},{"id":"W2106914734","doi":"10.1080/10438590410001629007","title":"The sources of total factor productivity growth: Evidence from Canadian data","year":2003,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Ceteris paribus; Productivity; Total factor productivity; Economics; Growth rate; Investment (military); Econometrics; Technological change; Macroeconomics; Microeconomics; Mathematics","score_opus":0.07022202249615776,"score_gpt":0.23195157626955087,"score_spread":0.1617295537733931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106914734","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":[0.83566886,0.008665072,0.003600915,0.0033837464,0.000062030835,0.00010437644,0.12497549,0.0002667235,0.02327272],"genre_scores_gemma":[0.940982,0.006397968,0.0025107835,0.00014404539,0.00001967785,0.000041838844,0.04709347,0.0000663776,0.0027439266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99747026,0.00018569377,0.0001538356,0.0003555692,0.0013138583,0.0005207931],"domain_scores_gemma":[0.9828751,0.0029437572,0.0025098748,0.00096834725,0.009986172,0.00071676425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029823,0.00088546355,0.00090657827,0.0070756245,0.0026772006,0.0034216244,0.0016453454,0.0005644078,0.0025548977],"category_scores_gemma":[0.017108452,0.0005440221,0.0009878583,0.02658105,0.0010037496,0.0012873122,0.0011462753,0.00090033555,0.00049957505],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000503443,0.000094521725,0.8601503,0.00084351655,0.00059229805,0.00043799577,0.0030940578,0.020504287,0.0004976712,0.016657582,0.03286036,0.063763954],"study_design_scores_gemma":[0.00006681128,0.000025800231,0.94064605,0.00030175853,0.00025318915,0.00013454228,0.0021150801,0.016451705,0.00074208074,0.0026188164,0.03647224,0.00017187651],"about_ca_topic_score_codex":0.996923,"about_ca_topic_score_gemma":0.9968844,"teacher_disagreement_score":0.95225745,"about_ca_system_score_codex":0.04774257,"about_ca_system_score_gemma":0.04702825,"threshold_uncertainty_score":0.34639823},"labels":[],"label_agreement":null},{"id":"W2107265606","doi":"","title":"Provincial Convergence and Divergence in Canada, 1926 to 2011","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"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":"Per capita income; Economics; Convergence (economics); Consumption (sociology); Per capita; Net national income; Urbanization; Demographic economics; Human capital; Divergence (linguistics); Total personal income; Capital (architecture); Geography; Economic growth; Public economics; Gross income; Population; Demography","score_opus":0.05018867323889145,"score_gpt":0.2632510558432659,"score_spread":0.21306238260437446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107265606","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":[0.8820607,0.0052765664,0.000814495,0.004293719,0.00014110848,0.0000536893,0.07481237,0.00014036318,0.032407083],"genre_scores_gemma":[0.96865183,0.0015446708,0.00045544913,0.00017603746,0.000028126855,0.000019733778,0.019788144,0.00004741731,0.009288645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99875987,0.000041211333,0.000055072596,0.00015392128,0.00035320522,0.0006366076],"domain_scores_gemma":[0.99554753,0.00015694274,0.00042476907,0.000114566465,0.003185768,0.00057039346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009798524,0.0003451043,0.00057467667,0.004864243,0.0035976428,0.0022181512,0.0008914053,0.0003475316,0.0049142074],"category_scores_gemma":[0.005059734,0.00025394978,0.0008369978,0.012649396,0.00075624004,0.0007428558,0.0020937717,0.0013479629,0.00048456635],"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":[0.00044037963,0.0000499278,0.89120096,0.00020278171,0.0002707796,0.0006356973,0.0073106526,0.0033110406,0.0002510198,0.010386315,0.034435317,0.05150514],"study_design_scores_gemma":[0.000008474588,0.000009174897,0.97507566,0.00007485159,0.000033799442,0.000090381385,0.002236916,0.00088849396,0.00012049327,0.00025590346,0.021182397,0.000023531318],"about_ca_topic_score_codex":0.99811894,"about_ca_topic_score_gemma":0.9981329,"teacher_disagreement_score":0.055118557,"about_ca_system_score_codex":0.055118557,"about_ca_system_score_gemma":0.055676155,"threshold_uncertainty_score":0.39991504},"labels":[],"label_agreement":null},{"id":"W2107283339","doi":"10.6000/1927-5129.2014.10.38","title":"Agricultural Productivity in Balochistan Province of Pakistan A Geographical Analysis","year":2014,"lang":"en","type":"article","venue":"Journal of Basic & Applied Sciences","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Agriculture; Productivity; Agricultural productivity; Irrigation; Geography; Food security; Agricultural economics; Census; Economic growth; Economics; Population; Agronomy; Environmental health; Biology","score_opus":0.01507193659924634,"score_gpt":0.2178886064465035,"score_spread":0.20281666984725719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107283339","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":[0.99688643,0.00015953198,0.000056417077,0.00006834062,0.000002863986,0.000005976943,0.0014546764,0.0000033130148,0.0013623878],"genre_scores_gemma":[0.99874276,0.00015908801,0.000074057905,0.000005697829,0.0000022299553,0.000004089653,0.0007284084,4.562353e-7,0.00028323015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985397,0.000017646262,0.000013545674,0.00003122559,0.000031304902,0.000052246665],"domain_scores_gemma":[0.99973196,0.00003696737,0.0000811523,0.000013131447,0.000097605334,0.000039176128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015764448,0.00017819602,0.00013912068,0.0016341023,0.0005934341,0.0006016885,0.00015192115,0.00010928587,0.0011656964],"category_scores_gemma":[0.00041684345,0.00010994364,0.00020169799,0.0041070106,0.00022667911,0.0002586956,0.00035451562,0.00013325574,0.0001502039],"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":[0.000030270265,0.000020357138,0.98734856,0.000034313005,0.000044204266,0.00050395384,0.00069460453,0.00068321807,0.00047244164,0.00026528453,0.00053973956,0.009363061],"study_design_scores_gemma":[0.0000011112377,0.000012081683,0.99806803,0.00000523978,0.0000050206945,0.00007584244,0.0009314663,0.00014917516,0.000042617296,0.00001835387,0.00068895356,0.0000019590123],"about_ca_topic_score_codex":0.20799743,"about_ca_topic_score_gemma":0.22014928,"teacher_disagreement_score":0.20799743,"about_ca_system_score_codex":0.000991487,"about_ca_system_score_gemma":0.0013883421,"threshold_uncertainty_score":0.4135735},"labels":[],"label_agreement":null},{"id":"W2107362206","doi":"10.1504/ijtpm.2013.053085","title":"Innovative financing for commercialisation of technology","year":2013,"lang":"en","type":"article","venue":"International Journal of Technology Policy and Management","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Christian ministry; Finance; Business; Technology transfer; Government (linguistics); Political science; International trade","score_opus":0.025663790958133717,"score_gpt":0.2661262198842162,"score_spread":0.2404624289260825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107362206","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":[0.5982512,0.005801787,0.01753423,0.012054192,0.00017859967,0.0003845052,0.0014959994,0.00023892304,0.36406055],"genre_scores_gemma":[0.9849584,0.0011161475,0.0010231328,0.00015875883,0.00012540509,0.000088923494,0.00032694338,0.000010315694,0.012192085],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99775106,0.0006245579,0.00013905873,0.0001623685,0.00061774446,0.0007052505],"domain_scores_gemma":[0.98541343,0.0053922785,0.0047560083,0.0006931728,0.0022367153,0.0015082719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002555346,0.0002595873,0.00026329656,0.002247228,0.00096931926,0.0053072013,0.0006104349,0.0014521304,0.01352067],"category_scores_gemma":[0.01640161,0.00021481748,0.00031042105,0.0021942088,0.0013030365,0.003126297,0.0018355673,0.0014993807,0.0007888595],"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":[0.00021262682,0.0002467246,0.11180455,0.0005261521,0.000071222225,0.0011079925,0.0013659874,0.009912776,0.0012451407,0.729033,0.011771422,0.13270241],"study_design_scores_gemma":[0.00054312753,0.0005673672,0.27397314,0.0018128196,0.00023496551,0.003178527,0.003812287,0.046349358,0.006994108,0.35649595,0.30589667,0.00014173538],"about_ca_topic_score_codex":0.00561884,"about_ca_topic_score_gemma":0.0037301322,"teacher_disagreement_score":0.01352067,"about_ca_system_score_codex":0.0051811086,"about_ca_system_score_gemma":0.007788325,"threshold_uncertainty_score":0.045231104},"labels":[],"label_agreement":null},{"id":"W2108761654","doi":"10.3386/w11451","title":"Managerial Skill Acquisition and the Theory of Economic Development","year":2005,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Dreyfus model of skill acquisition; Operations management; Knowledge management; Business; Economics; Computer science; Economic growth","score_opus":0.1973066661917583,"score_gpt":0.403406481226061,"score_spread":0.2060998150343027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108761654","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":[0.122796305,0.050024066,0.106149904,0.055205084,0.00065443123,0.00017882575,0.0012032747,0.00023508891,0.66355306],"genre_scores_gemma":[0.9505345,0.023690533,0.0076313363,0.0009483191,0.00038518602,0.00013403468,0.0002120315,0.00001785456,0.016446205],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993309,0.00030275068,0.000025387033,0.00009574992,0.00010403333,0.00014128009],"domain_scores_gemma":[0.99778444,0.0015621254,0.00024242955,0.00007857178,0.00019728058,0.0001351736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012748301,0.0006570986,0.000575212,0.0024921906,0.0008251746,0.0027337044,0.0006299561,0.001199722,0.007200187],"category_scores_gemma":[0.003557952,0.0002206015,0.00043040956,0.0026626773,0.0042043156,0.0028660058,0.0014770672,0.0016457433,0.00083418563],"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":[0.000009634286,0.00002693954,0.0024175409,0.00008492702,0.000016041357,0.00010612021,0.00024691038,0.0068615195,0.00003115703,0.9726371,0.0021165274,0.015445606],"study_design_scores_gemma":[0.000017840453,0.000027596443,0.0033319206,0.00012100878,0.000009246719,0.000082389415,0.00025930605,0.006295047,0.000037264632,0.97281903,0.016986363,0.000013094423],"about_ca_topic_score_codex":0.0077172047,"about_ca_topic_score_gemma":0.004863864,"teacher_disagreement_score":0.0077172047,"about_ca_system_score_codex":0.003430093,"about_ca_system_score_gemma":0.0018689184,"threshold_uncertainty_score":0.024887204},"labels":[],"label_agreement":null},{"id":"W2109069564","doi":"","title":"Has Trend Productivity Growth Increased in Canada?","year":2003,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"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":"Productivity; Economics; Total factor productivity; Percentage point; Agricultural economics; Production (economics); Demographic economics; Economic growth; Macroeconomics; Finance","score_opus":0.04157048882160232,"score_gpt":0.23959926861506112,"score_spread":0.1980287797934588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109069564","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":[0.7140503,0.037814155,0.0010138643,0.13999924,0.0012007945,0.00006892508,0.018850064,0.0003246017,0.086678036],"genre_scores_gemma":[0.96615714,0.016346732,0.0005561167,0.0038202868,0.00028857763,0.000013662841,0.0032377362,0.000055568456,0.009524154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99786323,0.00006857631,0.00007764031,0.00028382588,0.00070164225,0.0010050691],"domain_scores_gemma":[0.99003977,0.00046009492,0.0011849471,0.00026184358,0.0068147164,0.001238618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017655704,0.00036279391,0.0006034065,0.0034683002,0.0034083868,0.0044176653,0.0009642526,0.0012802894,0.0076070107],"category_scores_gemma":[0.0072540506,0.00027109697,0.00076255033,0.009952714,0.0017433647,0.0028917857,0.001108538,0.0022828334,0.0007886998],"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":[0.00050457945,0.00010721648,0.70298946,0.00075527537,0.00023447438,0.0011338145,0.0040190103,0.0021900935,0.0010780336,0.040715978,0.06197009,0.184302],"study_design_scores_gemma":[0.000018441415,0.000038225644,0.9043004,0.00041446736,0.00009149284,0.00023701965,0.003800546,0.0013148277,0.0007287287,0.001821589,0.08716897,0.00006524136],"about_ca_topic_score_codex":0.9914894,"about_ca_topic_score_gemma":0.99044585,"teacher_disagreement_score":0.07571216,"about_ca_system_score_codex":0.07571216,"about_ca_system_score_gemma":0.09566186,"threshold_uncertainty_score":0.54933274},"labels":[],"label_agreement":null},{"id":"W2109193813","doi":"10.1093/restud/rdv008","title":"Quid Pro Quo: Technology Capital Transfers for Market Access in China","year":2015,"lang":"en","type":"article","venue":"The Review of Economic Studies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":139,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Simon Fraser University; Sveriges Riksbanken; University of Washington; University College London; Arizona State University","keywords":"China; Status quo; Capital (architecture); Economics; State (computer science); Economic history; Political science; Law; History","score_opus":0.09618041021721419,"score_gpt":0.31839648993046865,"score_spread":0.22221607971325447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109193813","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":[0.85285646,0.004709013,0.05323983,0.01089871,0.00020501028,0.00024174413,0.0006426861,0.00022943034,0.07697721],"genre_scores_gemma":[0.99237484,0.001151888,0.0013851938,0.00013895276,0.00003230648,0.000034672554,0.000052699394,0.000006270661,0.004823111],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99930525,0.00018334987,0.000035340785,0.0001279133,0.00014438077,0.00020374743],"domain_scores_gemma":[0.99917233,0.00025481102,0.0002895516,0.00007598127,0.00011871054,0.000088555855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001311408,0.00037075594,0.0006061369,0.00082180003,0.0010467097,0.0025567256,0.0009476014,0.0012595904,0.0030078727],"category_scores_gemma":[0.00254236,0.0002676438,0.0007770224,0.0009828387,0.0018934772,0.002710522,0.0012364126,0.0009067256,0.00015945119],"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":[0.0001522217,0.00015527553,0.023335971,0.00033023296,0.000093445575,0.0014809524,0.00062662,0.15507294,0.002689198,0.7561611,0.0053577777,0.054544207],"study_design_scores_gemma":[0.00020246829,0.00037357534,0.040687922,0.00027925934,0.00023042785,0.00039505505,0.0005573691,0.5171613,0.0039553987,0.4030585,0.03295837,0.00014033508],"about_ca_topic_score_codex":0.038248148,"about_ca_topic_score_gemma":0.024223039,"teacher_disagreement_score":0.038248148,"about_ca_system_score_codex":0.005416432,"about_ca_system_score_gemma":0.0059033544,"threshold_uncertainty_score":0.07605106},"labels":[],"label_agreement":null},{"id":"W2109310153","doi":"10.7202/602335ar","title":"Système éducatif et bien-être social : faut-il subventionner l’éducation?","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.060740218955193645,"score_gpt":0.268817289385855,"score_spread":0.20807707043066132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109310153","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":[0.52167207,0.0046326155,0.24525297,0.047844112,0.00036171105,0.00016792082,0.00086001505,0.00022221214,0.17898646],"genre_scores_gemma":[0.9505624,0.0020638579,0.009936507,0.0006132099,0.00012144596,0.00012104888,0.000094708754,0.000027999056,0.03645876],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991799,0.00032955277,0.000017097977,0.00016000395,0.00008543462,0.00022793324],"domain_scores_gemma":[0.9987431,0.00051763357,0.00023798077,0.00014692181,0.00012000732,0.0002343169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011018293,0.00048375226,0.0006605463,0.0005787972,0.0010474878,0.0031781555,0.0008391128,0.0019256372,0.014801428],"category_scores_gemma":[0.0035722416,0.0003296891,0.0008883622,0.0009597007,0.0025714515,0.0038151427,0.0015634602,0.0016216371,0.0012166359],"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":[0.00015090933,0.00021796986,0.013889021,0.0001268181,0.00007935793,0.0002351596,0.0012019366,0.051251564,0.0008880004,0.90239626,0.0022644443,0.027298586],"study_design_scores_gemma":[0.000208714,0.00047287976,0.019799404,0.00021163208,0.00018688387,0.00032013448,0.0020844776,0.09981744,0.0009380274,0.8233254,0.05255486,0.00008011381],"about_ca_topic_score_codex":0.015161042,"about_ca_topic_score_gemma":0.013851906,"teacher_disagreement_score":0.015161042,"about_ca_system_score_codex":0.0032654854,"about_ca_system_score_gemma":0.0025894037,"threshold_uncertainty_score":0.049515665},"labels":[],"label_agreement":null},{"id":"W2109372891","doi":"10.22004/ag.econ.273468","title":"Assessing Economic Performance among North American Manufacturing Establishments, 1870/71: Data, Methodology and Measurement Issues","year":2006,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University; University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Total factor productivity; Census; Productivity; Econometrics; Index (typography); Variety (cybernetics); Sample (material); Economics; Variable (mathematics); Estimation; Capital (architecture); Production function; Instrumental variable; Production (economics); Statistics; Computer science; Macroeconomics; Geography; Mathematics; Population","score_opus":0.18006795850473858,"score_gpt":0.28294460522536097,"score_spread":0.10287664672062238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109372891","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9601851,0.0009446353,0.007069785,0.00041009305,0.000052372892,0.00014247159,0.014589466,0.000040679824,0.016565306],"genre_scores_gemma":[0.95570415,0.0011491115,0.013897271,0.00015075393,0.00006481329,0.00046972715,0.024116384,0.000037258775,0.0044105477],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981925,0.0005171627,0.00021589636,0.00026398018,0.0006455662,0.00016491754],"domain_scores_gemma":[0.9908937,0.0029882556,0.002052679,0.0010657946,0.0027275067,0.0002720931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035644476,0.00024447605,0.00026768027,0.0032555042,0.00079645094,0.0009188329,0.0005377144,0.00019090598,0.0013879561],"category_scores_gemma":[0.009400215,0.00016530075,0.00018829317,0.007727008,0.0010267401,0.0004979159,0.0008033086,0.00050893985,0.00041285815],"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":[0.000049107537,0.000043555854,0.9568597,0.00011697064,0.000046245466,0.00010309361,0.0033476152,0.0010982753,0.00047152338,0.0019439762,0.0044578575,0.03146208],"study_design_scores_gemma":[0.0000019025271,0.000020512716,0.9912074,0.000031235442,0.000010025407,0.000038379818,0.0014973036,0.00027691532,0.00042839738,0.00018200342,0.0062994035,0.0000065485274],"about_ca_topic_score_codex":0.1046375,"about_ca_topic_score_gemma":0.1978738,"teacher_disagreement_score":0.1046375,"about_ca_system_score_codex":0.0015098887,"about_ca_system_score_gemma":0.0012590674,"threshold_uncertainty_score":0.20805687},"labels":[],"label_agreement":null},{"id":"W2109485770","doi":"10.5539/ass.v4n12p102","title":"Globalization makes the world unequal","year":2009,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Globalization; China; Inequality; Development economics; Developing country; Economics; Political science; Economic system; Economic growth; Market economy; Law; Mathematics","score_opus":0.025834967018316043,"score_gpt":0.24590769961428324,"score_spread":0.2200727325959672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109485770","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":[0.52654296,0.0051777926,0.008534189,0.05559943,0.00059049664,0.00002718679,0.00037450262,0.00004153769,0.40311188],"genre_scores_gemma":[0.9933559,0.0012812188,0.0005231552,0.0018114485,0.00016537678,0.00000976919,0.000056647168,0.0000135333175,0.0027830352],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986431,0.000542587,0.00003908497,0.0001963183,0.00024410317,0.00033485377],"domain_scores_gemma":[0.99856645,0.00043565486,0.00024356844,0.00031889274,0.00015965036,0.00027586473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013970361,0.00017150432,0.0003228841,0.0008944333,0.00199254,0.0043809447,0.00027603997,0.00084551005,0.009391175],"category_scores_gemma":[0.0039446047,0.00010176677,0.00026633844,0.0011576783,0.0073521812,0.007324983,0.0045000096,0.001506888,0.0003765984],"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":[0.000035987487,0.00002265252,0.009248109,0.000051421743,0.000039378843,0.00023220484,0.006345231,0.00038166466,0.00050005794,0.9535451,0.0054990356,0.024099147],"study_design_scores_gemma":[0.000015769861,0.000031510936,0.040486127,0.00022199751,0.0000387225,0.000241648,0.013273687,0.00056967046,0.00043498052,0.82003933,0.12461644,0.000030127305],"about_ca_topic_score_codex":0.0015937657,"about_ca_topic_score_gemma":0.0017412233,"teacher_disagreement_score":0.009391175,"about_ca_system_score_codex":0.0013398877,"about_ca_system_score_gemma":0.00064388226,"threshold_uncertainty_score":0.031416655},"labels":[],"label_agreement":null},{"id":"W2109817079","doi":"","title":"Genomics and public policy: Wealth for Canadians","year":2010,"lang":"en","type":"article","venue":"Integrated Assessment","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Commercialization; Government (linguistics); Public policy; Variety (cybernetics); Nature versus nurture; Subsidy; Investment (military); Economic growth; Private sector; Business; Political science; Marketing; Economics; Sociology","score_opus":0.027077046886445397,"score_gpt":0.2604702848728659,"score_spread":0.23339323798642048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109817079","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01102761,0.010889098,0.0008500754,0.759494,0.0008515745,0.00005561278,0.0018089237,0.00010838952,0.21491481],"genre_scores_gemma":[0.6337497,0.037765928,0.0039564106,0.19600473,0.0014736089,0.00010434643,0.0024337622,0.00012882534,0.124382734],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9942638,0.00078345864,0.000084695515,0.00023307167,0.0020777495,0.0025571405],"domain_scores_gemma":[0.9836189,0.0033693619,0.00056369393,0.00048011637,0.0058109295,0.0061571337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006436361,0.0003971472,0.0006555579,0.0032607892,0.010238691,0.013558469,0.0013275822,0.004806754,0.027367834],"category_scores_gemma":[0.022775766,0.00031144434,0.0005464272,0.0060645225,0.006543848,0.005635524,0.0039109783,0.004916124,0.00095946935],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007452973,0.000052568852,0.0065953787,0.00019784352,0.000046159585,0.00023207984,0.0016272202,0.001143513,0.00015458553,0.5059265,0.4206656,0.063284],"study_design_scores_gemma":[0.000071329676,0.000022439655,0.01619779,0.00088425213,0.00004809081,0.00008603837,0.0068132095,0.001219938,0.00013697616,0.105652004,0.8687775,0.00009037224],"about_ca_topic_score_codex":0.98207575,"about_ca_topic_score_gemma":0.9848728,"teacher_disagreement_score":0.8791791,"about_ca_system_score_codex":0.120820865,"about_ca_system_score_gemma":0.27492243,"threshold_uncertainty_score":0.8766208},"labels":[],"label_agreement":null},{"id":"W2110190507","doi":"10.2139/ssrn.685546","title":"Exchange Rates and Investment Good Prices: A Cross-Industry Comparison","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","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":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Australian National University; University of Alberta","keywords":"Investment (military); Monetary economics; Economics; Business; Industrial organization","score_opus":0.028585965149826302,"score_gpt":0.25875210169781365,"score_spread":0.23016613654798734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110190507","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":[0.9909731,0.0017431787,0.00020442736,0.00022776025,0.000023924164,0.00000748327,0.0005463684,0.00000848544,0.006265191],"genre_scores_gemma":[0.99675745,0.00065148156,0.000057129662,0.000046858873,0.000034928988,0.0000023904738,0.000988054,0.0000068136715,0.001454846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995999,0.0001404751,0.000041667525,0.00005736387,0.00008105959,0.00007953111],"domain_scores_gemma":[0.9874986,0.008325545,0.00216833,0.0005607919,0.00092281715,0.0005238259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016489814,0.00029025355,0.00054600736,0.002318769,0.00027656023,0.0022035828,0.00042923217,0.00081538846,0.008563216],"category_scores_gemma":[0.006871339,0.00023918005,0.00087086594,0.0026193624,0.00041345067,0.0014458081,0.0008038948,0.00085002364,0.0010783143],"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":[0.0070763435,0.00052879273,0.9438784,0.00021873697,0.0020995114,0.0009654203,0.00097601255,0.0033609853,0.0016261005,0.0075062774,0.0026214852,0.029142015],"study_design_scores_gemma":[0.00015335175,0.0004226609,0.9927619,0.000026037707,0.0006148108,0.0002505301,0.00097925,0.0010349058,0.00046344777,0.0014450363,0.0018274926,0.00002061501],"about_ca_topic_score_codex":0.0028849177,"about_ca_topic_score_gemma":0.0036542797,"teacher_disagreement_score":0.008563216,"about_ca_system_score_codex":0.00030308552,"about_ca_system_score_gemma":0.00016206852,"threshold_uncertainty_score":0.028646827},"labels":[],"label_agreement":null},{"id":"W2110351263","doi":"10.5539/mas.v9n6p226","title":"The Effect of Educational Level on the Productivity in the Czech Republic","year":2015,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Homoscedasticity; Czech; Human capital; Productivity; Normality; Variance (accounting); Economics; Econometrics; Distribution (mathematics); Labour economics; Statistics; Mathematics; Heteroscedasticity; Accounting; Macroeconomics; Economic growth","score_opus":0.07708943423107571,"score_gpt":0.24902190065716182,"score_spread":0.17193246642608612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110351263","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":[0.9877676,0.0007917739,0.00046678344,0.000429545,0.000024910492,0.0000098954315,0.00065742387,0.000024550125,0.009827447],"genre_scores_gemma":[0.99909747,0.00011088251,0.00003710764,0.0000104711235,0.0000038624844,0.0000013020584,0.00008428822,0.00000249966,0.0006522053],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993018,0.00014040708,0.00005671142,0.00012648424,0.00012698608,0.00024759787],"domain_scores_gemma":[0.9983309,0.00043929755,0.0004072806,0.00012052346,0.00030510515,0.00039694362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070924003,0.00015427657,0.00024976133,0.0012944691,0.00041778287,0.0016334521,0.00024392632,0.00015947857,0.0030316256],"category_scores_gemma":[0.0037563662,0.00010268777,0.00054416887,0.0010789951,0.0005800688,0.00031602537,0.00096855895,0.0004807443,0.0004083219],"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":[0.00076884765,0.0002507954,0.89396155,0.00018565224,0.0004375635,0.00096510275,0.0009269679,0.014502451,0.005351595,0.01863603,0.003324041,0.060689393],"study_design_scores_gemma":[0.000019101104,0.00006776601,0.9934056,0.00004231118,0.00005545292,0.00011077979,0.00047707654,0.0015503801,0.0007471353,0.0012566681,0.0022523769,0.000015230703],"about_ca_topic_score_codex":0.03668387,"about_ca_topic_score_gemma":0.022071224,"teacher_disagreement_score":0.03668387,"about_ca_system_score_codex":0.0018214823,"about_ca_system_score_gemma":0.0019323758,"threshold_uncertainty_score":0.07294065},"labels":[],"label_agreement":null},{"id":"W2110400935","doi":"","title":"Productivity and Policy Reform in Australia","year":2002,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Agricultural economics; Natural resource economics; Economics; Business; Macroeconomics","score_opus":0.0759816297212148,"score_gpt":0.30107124340242414,"score_spread":0.22508961368120933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110400935","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0391312,0.04586357,0.0017663796,0.737955,0.0041200793,0.00008557561,0.00015559758,0.00011617821,0.17080645],"genre_scores_gemma":[0.61378443,0.053766493,0.0030818868,0.16104645,0.0049733934,0.0001835181,0.00023359797,0.00010004701,0.1628302],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9908308,0.0027961975,0.0004477999,0.0007446848,0.0024716505,0.0027088472],"domain_scores_gemma":[0.9945621,0.0009999744,0.0005793383,0.00023418582,0.0018267471,0.0017976989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007878469,0.0003804229,0.0004915873,0.0019744677,0.0046450105,0.007026339,0.001390348,0.0069256295,0.0063279383],"category_scores_gemma":[0.021773249,0.0003724612,0.00054931163,0.0032279645,0.005286095,0.005509575,0.006832039,0.0065542785,0.0007996925],"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":[0.000053140036,0.00022887102,0.0028516033,0.00067070994,0.00004637866,0.0006193684,0.0077878763,0.0026686378,0.0005220626,0.7546201,0.13123603,0.09869525],"study_design_scores_gemma":[0.000038035578,0.00011646804,0.021257274,0.0006726724,0.0000213404,0.00012452158,0.002437369,0.0012950498,0.00023690694,0.076047786,0.89771175,0.000040760166],"about_ca_topic_score_codex":0.1489313,"about_ca_topic_score_gemma":0.08915773,"teacher_disagreement_score":0.1489313,"about_ca_system_score_codex":0.031644195,"about_ca_system_score_gemma":0.05543626,"threshold_uncertainty_score":0.2961288},"labels":[],"label_agreement":null},{"id":"W2110547406","doi":"10.7202/601350ar","title":"Mesure de la productivité : la méthode de Divisia","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Philosophy; Humanities","score_opus":0.04223664362817216,"score_gpt":0.2501529386830209,"score_spread":0.20791629505484877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110547406","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":[0.0038719708,0.0005170055,0.9920507,0.00014031469,0.00012426262,0.00016594557,0.00023113075,0.0006831942,0.002215562],"genre_scores_gemma":[0.060620725,0.00077037833,0.92857397,0.00010630243,0.00015783134,0.0007898709,0.00049915235,0.0009519083,0.0075299027],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9888931,0.0059506213,0.0006921824,0.0019109234,0.002247189,0.0003058594],"domain_scores_gemma":[0.97275925,0.017431049,0.0010311856,0.0060930396,0.0024812063,0.00020423856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011895933,0.0016176392,0.0025185223,0.0033613848,0.0007414395,0.00410102,0.0027494153,0.0013795091,0.018673677],"category_scores_gemma":[0.049162395,0.0012349284,0.0027199762,0.002858496,0.0024421785,0.002852709,0.0036837219,0.0058935406,0.0070936163],"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":[0.0003422841,0.00011211514,0.004327723,0.0011092206,0.00042180755,0.00010932975,0.000989837,0.026326066,0.0054653306,0.093266964,0.0036290353,0.86390024],"study_design_scores_gemma":[0.00029426228,0.00086900487,0.010535397,0.00075070275,0.00051745184,0.000815076,0.0007603682,0.3558149,0.030961175,0.35928684,0.23909678,0.00029804689],"about_ca_topic_score_codex":0.0029414014,"about_ca_topic_score_gemma":0.0020677475,"teacher_disagreement_score":0.018673677,"about_ca_system_score_codex":0.0012500475,"about_ca_system_score_gemma":0.0023286708,"threshold_uncertainty_score":0.062912524},"labels":[],"label_agreement":null},{"id":"W2110867059","doi":"10.1111/j.1468-0475.2007.00403.x","title":"Of Yeast and Mushrooms: Patterns of Industry-Level Productivity Growth","year":2007,"lang":"en","type":"article","venue":"German Economic Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":29,"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":"Total factor productivity; Economics; Productivity; Investment (military); Information and Communications Technology; Capital (architecture); Economic geography; International trade; Macroeconomics; Geography; Political science","score_opus":0.05143689091910077,"score_gpt":0.2615856041427418,"score_spread":0.21014871322364104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110867059","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":[0.9879873,0.004399722,0.000573911,0.00015878845,0.000006995045,0.000006634787,0.0012967248,0.000017428998,0.005552538],"genre_scores_gemma":[0.99624485,0.0014341307,0.00028278053,0.000020623473,0.0000062499453,0.0000031442587,0.0008441181,0.000002358139,0.0011615561],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981207,0.000026802896,0.00001139636,0.000040497227,0.00007012725,0.00003908962],"domain_scores_gemma":[0.998616,0.00029941267,0.000620042,0.000063048494,0.00031296647,0.00008862623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038653644,0.00014554178,0.00020584522,0.0020687436,0.00012860597,0.0010185572,0.00014849273,0.00014600785,0.001669797],"category_scores_gemma":[0.0013488625,0.00005114569,0.00022157225,0.0037993253,0.00027986124,0.00045094444,0.00037265706,0.00016756548,0.00031946573],"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":[0.00049716776,0.000047806796,0.8754878,0.00030818986,0.00017232544,0.00039077402,0.0008173788,0.0038991247,0.006904732,0.0027507122,0.0019252519,0.10679878],"study_design_scores_gemma":[0.000003543188,0.000045236993,0.9901404,0.00003539846,0.000018529283,0.00010025562,0.0007576917,0.0013169099,0.0012512015,0.00063184527,0.005692649,0.000006371453],"about_ca_topic_score_codex":0.014248944,"about_ca_topic_score_gemma":0.013640076,"teacher_disagreement_score":0.014248944,"about_ca_system_score_codex":0.00050878874,"about_ca_system_score_gemma":0.00022093304,"threshold_uncertainty_score":0.028331995},"labels":[],"label_agreement":null},{"id":"W2111358650","doi":"","title":"Insights into Canada’s Abysmal Post-2000 Productivity Performance from Decompositions of Labour Productivity Growth by Industry and Province","year":2010,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":12,"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":"Productivity; Slowdown; Multifactor productivity; Economics; Manufacturing sector; Labour economics; Capital (architecture); Total factor productivity; Manufacturing; Agricultural economics; International trade; Business; Economic growth; Geography","score_opus":0.011197100893518334,"score_gpt":0.22076657374749745,"score_spread":0.20956947285397912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111358650","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":[0.92473257,0.0026858367,0.001500251,0.0056791585,0.000059349375,0.000061478146,0.030143753,0.00013516794,0.035002474],"genre_scores_gemma":[0.9780793,0.0012595578,0.0007196318,0.00010287738,0.000017559154,0.000011285715,0.013682917,0.000027258726,0.0060994527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99831957,0.000050655315,0.00005469723,0.00013619589,0.0006916228,0.0007470816],"domain_scores_gemma":[0.9951761,0.00025684127,0.00047777302,0.00018133155,0.0034279684,0.00048000104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013652035,0.0004894501,0.00046220332,0.0051904516,0.002002405,0.0024593312,0.00079157075,0.00028440784,0.0022761207],"category_scores_gemma":[0.004976245,0.00033031424,0.00063772255,0.012169821,0.0007532964,0.00089320645,0.0011719291,0.00097309356,0.00035660056],"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":[0.0003948275,0.00007046348,0.8527174,0.00015814314,0.000220625,0.00043472138,0.004946314,0.009171763,0.0017310292,0.020379476,0.023240732,0.086534515],"study_design_scores_gemma":[0.000005827381,0.000012078518,0.98793447,0.000032765598,0.000014874268,0.000019908717,0.0008887788,0.0021046908,0.00027804764,0.00046710233,0.008227448,0.000013832197],"about_ca_topic_score_codex":0.994793,"about_ca_topic_score_gemma":0.9965879,"teacher_disagreement_score":0.051532023,"about_ca_system_score_codex":0.051532023,"about_ca_system_score_gemma":0.047337055,"threshold_uncertainty_score":0.37389272},"labels":[],"label_agreement":null},{"id":"W2111454681","doi":"10.1111/j.0008-4085.2005.00327.x","title":"Bigger establishments in thicker markets:  can we explain early productivity differentials between Canada and the United States?","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Queen's University; University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Productivity; Census; Agricultural economics; Geography; Economics; Demographic economics; Demography; Economic growth; Sociology","score_opus":0.0788579788856673,"score_gpt":0.16842229516748705,"score_spread":0.08956431628181975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111454681","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":[0.9847394,0.0012237882,0.0005826297,0.0021374023,0.00004368316,0.0000192195,0.0018977888,0.000018133202,0.009337882],"genre_scores_gemma":[0.99752074,0.0003111987,0.00020488727,0.00010117885,0.0000096761,0.0000037697657,0.00046281455,0.0000072813414,0.0013784694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992298,0.000033659944,0.000020047126,0.00013823852,0.00022751352,0.0003507875],"domain_scores_gemma":[0.9949303,0.0007084687,0.0012048975,0.00019242211,0.0016546168,0.0013091625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010347354,0.0002538849,0.00037487835,0.0023125745,0.0027002823,0.0021193156,0.0008866362,0.0003886492,0.006525296],"category_scores_gemma":[0.006016417,0.00021820753,0.00043169732,0.0037833417,0.0018805474,0.0009901578,0.0011447143,0.001016862,0.00026597784],"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":[0.000075489465,0.00003748593,0.9724522,0.000040963376,0.00005898124,0.00022205942,0.002415018,0.00047008655,0.0004665985,0.0052455426,0.0036947166,0.014820771],"study_design_scores_gemma":[0.0000051701313,0.000008126237,0.99303657,0.00004374332,0.000019565574,0.000033000746,0.0027762752,0.00043366145,0.00014235826,0.00038878055,0.0031024783,0.000010294867],"about_ca_topic_score_codex":0.9805282,"about_ca_topic_score_gemma":0.9926416,"teacher_disagreement_score":0.019471824,"about_ca_system_score_codex":0.01498128,"about_ca_system_score_gemma":0.017853487,"threshold_uncertainty_score":0.108697295},"labels":[],"label_agreement":null},{"id":"W2111656072","doi":"10.34989/swp-2004-1","title":"The Effect of Adjustment Costs and Organizational Change on Productivity in Canada: Evidence from Aggregate Data","year":2021,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Economics; Productivity; Aggregate (composite); Aggregate data; Monetary economics; Macroeconomics","score_opus":0.06303466136277887,"score_gpt":0.2742895912868698,"score_spread":0.21125492992409095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111656072","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":[0.9647687,0.0017539053,0.00033478404,0.00092632615,0.000022453101,0.000051922805,0.024359869,0.000072369956,0.00770967],"genre_scores_gemma":[0.9818556,0.0015079263,0.00030151405,0.00009997037,0.000016415805,0.000025563106,0.013679924,0.0000128888705,0.002500269],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997253,0.0001915013,0.00017112256,0.00032502576,0.0013821744,0.00067729875],"domain_scores_gemma":[0.9752632,0.004636419,0.005566391,0.0010682315,0.0113538345,0.00211194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015901028,0.00042126936,0.00066325656,0.003713948,0.0023208517,0.0023599963,0.001300387,0.00063759123,0.0025836013],"category_scores_gemma":[0.015257696,0.0003543691,0.00064782996,0.012968249,0.00095769303,0.00072058704,0.001071046,0.0009234516,0.0004549883],"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":[0.00030729623,0.00010485823,0.96883184,0.00009689646,0.00017387606,0.000100365,0.0010162685,0.0025379544,0.00010165651,0.0007350852,0.0058826366,0.020111356],"study_design_scores_gemma":[0.00001220081,0.000017608922,0.99599934,0.000017429815,0.000024445791,0.000012760197,0.00043117677,0.00097508245,0.000071624345,0.00007927374,0.0023457645,0.000013248388],"about_ca_topic_score_codex":0.996548,"about_ca_topic_score_gemma":0.9958721,"teacher_disagreement_score":0.03877208,"about_ca_system_score_codex":0.03877208,"about_ca_system_score_gemma":0.025138598,"threshold_uncertainty_score":0.2813124},"labels":[],"label_agreement":null},{"id":"W2111718048","doi":"10.5897/jgrp.9000056","title":"Finding the growth rate during formation of South American community of Nations","year":2009,"lang":"en","type":"article","venue":"Journal of Geography and Regional Planning","topic":"Economic Growth and Productivity","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":"Latin Americans; Geography; Value (mathematics); Economic integration; Development economics; Economic geography; Economics; International trade; International economics; Political science; Statistics; Mathematics","score_opus":0.036560632509226886,"score_gpt":0.22832630834198686,"score_spread":0.19176567583275997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111718048","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":[0.9499563,0.00031141,0.03815743,0.00024331425,0.000034692635,0.0000481779,0.0010218875,0.00009980856,0.010127064],"genre_scores_gemma":[0.9787676,0.00029432398,0.01858335,0.000007289445,0.00001013172,0.000045835855,0.0011547825,0.000030883934,0.0011057288],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946016,0.00013249725,0.000028103606,0.00013168146,0.00016761653,0.00007986526],"domain_scores_gemma":[0.9974178,0.00093142997,0.00038977514,0.00025988035,0.00088106917,0.000120046774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012511434,0.0001843817,0.00019117867,0.0022444949,0.0005834286,0.0010888651,0.00030853186,0.00023597128,0.001604824],"category_scores_gemma":[0.009224959,0.000103946746,0.00031681635,0.0020796144,0.0002544743,0.00097411533,0.00071872666,0.00048095462,0.00022106769],"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":[0.00022733682,0.00005896839,0.67062616,0.0001391515,0.00009887363,0.0004838741,0.0026217576,0.049689956,0.0046388274,0.05682467,0.0027654094,0.21182497],"study_design_scores_gemma":[0.000021877157,0.00015885574,0.51461345,0.00014317258,0.00006524415,0.00084622164,0.0064009433,0.3976831,0.014598107,0.030399641,0.03494931,0.000120024444],"about_ca_topic_score_codex":0.017631609,"about_ca_topic_score_gemma":0.013103038,"teacher_disagreement_score":0.017631609,"about_ca_system_score_codex":0.000784331,"about_ca_system_score_gemma":0.0008701104,"threshold_uncertainty_score":0.035057962},"labels":[],"label_agreement":null},{"id":"W2111769854","doi":"","title":"From growth to cycles through beliefs","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Economics; Frontier; Productivity; Boom; Value (mathematics); Function (biology); Sunspot; Aggregate (composite); Scope (computer science); Microeconomics; Macroeconomics; Mathematics; Physics; Engineering; Political science; Computer science","score_opus":0.07753200368081509,"score_gpt":0.2941521332994866,"score_spread":0.2166201296186715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111769854","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":[0.31304824,0.0051575885,0.32254937,0.046754975,0.00031128022,0.000096625416,0.00092043704,0.0004422098,0.31071928],"genre_scores_gemma":[0.9834645,0.0009587269,0.007132394,0.00045424822,0.000077030985,0.00005939434,0.00010128555,0.000034714394,0.0077176993],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99945885,0.0002770939,0.000015192985,0.00010625432,0.000061561645,0.0000809841],"domain_scores_gemma":[0.99739146,0.0016296327,0.00033897336,0.00024514153,0.0001924004,0.00020238831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009905178,0.00045948723,0.00034050952,0.00056332356,0.0008009757,0.003381409,0.000563035,0.0016395336,0.0075070914],"category_scores_gemma":[0.00756574,0.0002897611,0.0005112889,0.0006797502,0.0029327201,0.0059461854,0.0015231328,0.0017462673,0.00056931586],"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":[0.000021410322,0.000010516136,0.00068540446,0.000024331604,0.0000073078745,0.00008691141,0.0004211918,0.007778002,0.00010925675,0.98527145,0.0011618421,0.0044223],"study_design_scores_gemma":[0.000010561805,0.000007448143,0.00018193666,0.000014864192,0.0000040991226,0.000029511233,0.00012939946,0.016079623,0.000050648432,0.98065346,0.002833,0.000005395234],"about_ca_topic_score_codex":0.004114067,"about_ca_topic_score_gemma":0.0018538348,"teacher_disagreement_score":0.0075070914,"about_ca_system_score_codex":0.0017903739,"about_ca_system_score_gemma":0.000919466,"threshold_uncertainty_score":0.025113702},"labels":[],"label_agreement":null},{"id":"W2111824805","doi":"10.1111/j.0008-4085.2004.00259.x","title":"Trade, product cycles, and inequality within and between countries","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wage inequality; Inequality; Product (mathematics); Economics; Production (economics); Wage; Product market; Intermediate good; Economic inequality; Labour economics; Macroeconomics; Microeconomics","score_opus":0.13384904163444225,"score_gpt":0.18507330412917475,"score_spread":0.0512242624947325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111824805","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":[0.93654895,0.0033728492,0.008798162,0.0021714487,0.000041342904,0.00002116698,0.0010669657,0.000033222652,0.047946002],"genre_scores_gemma":[0.9972428,0.0005161577,0.00021640281,0.00003262237,0.000017857557,0.0000067285923,0.00018016585,0.0000029425557,0.0017843224],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997656,0.00006929175,0.000011316295,0.000047293266,0.00005007804,0.00005643274],"domain_scores_gemma":[0.99775237,0.0010608408,0.0007807036,0.00010312322,0.00015941115,0.00014361081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044587097,0.0001716249,0.00029464628,0.0017097904,0.00054555293,0.002156998,0.00020822926,0.00033589217,0.007213171],"category_scores_gemma":[0.003120412,0.00009988706,0.00016976667,0.0031393988,0.0013406569,0.0012247768,0.0008582011,0.00043418413,0.00031299278],"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":[0.00031825842,0.00010954201,0.37161657,0.00017106818,0.000170737,0.0006496097,0.0013206013,0.053559072,0.00048474516,0.4847145,0.007620961,0.07926436],"study_design_scores_gemma":[0.00005382418,0.00007175836,0.3064521,0.00027981773,0.000083440325,0.0004168908,0.0016279503,0.05918983,0.00034213794,0.61137325,0.02007567,0.000033382257],"about_ca_topic_score_codex":0.008657894,"about_ca_topic_score_gemma":0.005448272,"teacher_disagreement_score":0.008657894,"about_ca_system_score_codex":0.001346808,"about_ca_system_score_gemma":0.00030246313,"threshold_uncertainty_score":0.024130464},"labels":[],"label_agreement":null},{"id":"W2111899686","doi":"10.4067/s0717-68212003012100006","title":"THE CURSE OF GEOGRAPHY: A VIEW ABOUT THE PROCESS OF WEALTH CREATION AND DISTRIBUTION","year":2003,"lang":"en","type":"article","venue":"Cuadernos de economía","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Curse; Economic geography; Distribution (mathematics); Process (computing); Geography; Economics; Computer science; Mathematics; Sociology; Anthropology","score_opus":0.0167957588748937,"score_gpt":0.23487053471318156,"score_spread":0.21807477583828785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111899686","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":[0.04212873,0.05246669,0.26374012,0.18520151,0.0014686796,0.00015839958,0.0006837202,0.00025456568,0.45389757],"genre_scores_gemma":[0.90818214,0.028592592,0.028786698,0.0072361263,0.0019338811,0.0002455044,0.00016877295,0.00023239104,0.024621887],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99778455,0.0010999818,0.0000661791,0.0004977654,0.0003083709,0.00024321738],"domain_scores_gemma":[0.9955858,0.002575018,0.00047842853,0.0007318012,0.00032853652,0.00030041297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003096601,0.000805596,0.0009916357,0.0050775073,0.003699292,0.011867482,0.0018286619,0.00406728,0.0083688665],"category_scores_gemma":[0.006094312,0.0005704133,0.001112202,0.003725326,0.044013437,0.023811474,0.0063993623,0.0051249545,0.00080650277],"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":[0.0000024705696,0.0000021676708,0.00018526985,0.000021568152,0.00000410634,0.000027913766,0.00054500205,0.00028327113,0.000013570029,0.9969097,0.0004679413,0.0015371316],"study_design_scores_gemma":[0.0000054784323,0.0000058106766,0.00040535245,0.000068739624,0.0000060910756,0.000059701862,0.0005637473,0.00045792357,0.000035239886,0.9711664,0.027217804,0.0000077723635],"about_ca_topic_score_codex":0.0077527193,"about_ca_topic_score_gemma":0.0042473124,"teacher_disagreement_score":0.011867482,"about_ca_system_score_codex":0.0070302095,"about_ca_system_score_gemma":0.0026653048,"threshold_uncertainty_score":0.051007926},"labels":[],"label_agreement":null},{"id":"W2112118673","doi":"10.1016/s1574-0080(04)80018-x","title":"Chapter 61 Knowledge spillovers and the geography of innovation","year":2004,"lang":"en","type":"book-chapter","venue":"Handbook of regional and urban economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":925,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Connaught Fund","keywords":"Economic geography; Knowledge spillover; Production (economics); Function (biology); Endogenous growth theory; Dimension (graph theory); Human capital; Knowledge production; Technological change; Space (punctuation); Urbanization; Economics; Spillover effect; Factors of production; Industrial organization; Knowledge management; Economic growth; Microeconomics","score_opus":0.028870405890528767,"score_gpt":0.18103023888356626,"score_spread":0.15215983299303748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112118673","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":[0.0015802888,0.110052824,0.005758071,0.009410547,0.0026120872,0.000040369265,0.000701484,0.00013031422,0.8697141],"genre_scores_gemma":[0.038711865,0.14310604,0.0052883774,0.0024545463,0.003338415,0.00007804862,0.0009236327,0.00014128629,0.80595773],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9999033,0.000016574359,0.0000037561704,0.00002135725,0.00004214467,0.000012748485],"domain_scores_gemma":[0.99984777,0.00007350327,0.000009275991,0.000012932814,0.000040975552,0.000015425354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014507194,0.00044226402,0.00049037265,0.0010178734,0.00070993253,0.002804948,0.00055480766,0.0009842906,0.06161973],"category_scores_gemma":[0.0006174407,0.00021051841,0.00039272386,0.0022776318,0.000862801,0.0022221326,0.0005313212,0.0012815918,0.012112646],"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":[0.000010394759,0.00004107045,0.00028025874,0.0002980424,0.000013200041,0.00006109589,0.0004076191,0.0008421565,0.00025621717,0.5416453,0.34858036,0.10756426],"study_design_scores_gemma":[0.000002628156,0.0000055692735,0.00056026195,0.00026482108,0.0000074940413,0.00010897107,0.00014176796,0.00016898772,0.00011683176,0.18193555,0.81668216,0.0000049685923],"about_ca_topic_score_codex":0.0049810875,"about_ca_topic_score_gemma":0.0076149628,"teacher_disagreement_score":0.06161973,"about_ca_system_score_codex":0.001572889,"about_ca_system_score_gemma":0.0014190977,"threshold_uncertainty_score":0.20613855},"labels":[],"label_agreement":null},{"id":"W2112199731","doi":"10.1080/00220380802009084","title":"Technology, Development and Innovation Systems: An Introduction","year":2008,"lang":"en","type":"article","venue":"The Journal of Development Studies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Evolutionary economics; Key (lock); Innovation system; Development (topology); Management science; Neoclassical economics; Economics; Knowledge management; Computer science","score_opus":0.08106895623991839,"score_gpt":0.2452906449515237,"score_spread":0.1642216887116053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112199731","genre_codex":"review","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":[0.0037140588,0.73072046,0.03594719,0.03457196,0.01209632,0.00013546694,0.0008692585,0.00015694625,0.1817884],"genre_scores_gemma":[0.07014826,0.7764722,0.029053323,0.015903315,0.033358265,0.00054806034,0.0009231807,0.00015628964,0.07343714],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99958354,0.00015084336,0.000030779043,0.00007157939,0.000116384996,0.000046921694],"domain_scores_gemma":[0.998922,0.000774726,0.00005778135,0.000034438155,0.00014528239,0.00006578297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073283707,0.001288604,0.00097585894,0.0034094704,0.0012927837,0.0041457335,0.0009477838,0.0032466731,0.015034634],"category_scores_gemma":[0.0012101636,0.00046175328,0.00067519426,0.0049137874,0.0032013752,0.0050033145,0.0016964807,0.0040453947,0.0023718611],"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":[0.000021994721,0.00007115282,0.0006203831,0.0012476478,0.00001960874,0.00028692288,0.00077394,0.0022561194,0.00039995665,0.8613748,0.06768404,0.06524338],"study_design_scores_gemma":[0.000006515258,0.00005524144,0.00085842446,0.0011101445,0.000008093166,0.0003058633,0.00031199973,0.0008517089,0.000068283654,0.42565855,0.5707436,0.00002146007],"about_ca_topic_score_codex":0.0029962186,"about_ca_topic_score_gemma":0.0020857449,"teacher_disagreement_score":0.015034634,"about_ca_system_score_codex":0.0022437442,"about_ca_system_score_gemma":0.0012495142,"threshold_uncertainty_score":0.05029589},"labels":[],"label_agreement":null},{"id":"W2112277545","doi":"10.1111/1540-5982.00122","title":"Is the AK Model Still Alive? The Long-run Relation Between Growth and Investment Re-examined","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Economics; Investment (military); Relation (database); Panel data; Short run; Empirical evidence; Endogenous growth theory; Econometrics; Monetary economics; Macroeconomics; Human capital; Economic growth; Political science","score_opus":0.036477755655631244,"score_gpt":0.2078729298790732,"score_spread":0.17139517422344194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112277545","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":[0.48211727,0.029724652,0.2251999,0.13009417,0.0023099643,0.00006870897,0.003119725,0.0007673472,0.12659821],"genre_scores_gemma":[0.9730427,0.007144808,0.0049387617,0.0016471946,0.00048785142,0.000030938667,0.0003828593,0.00007340666,0.0122515205],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99953187,0.000157706,0.00002933835,0.00013161232,0.00005083954,0.00009863099],"domain_scores_gemma":[0.99784493,0.0009270163,0.00056560175,0.00022039692,0.00027845267,0.00016357748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016036493,0.0005563723,0.001026996,0.00054783165,0.0005406891,0.0037290086,0.001680444,0.001441299,0.008702453],"category_scores_gemma":[0.004469568,0.0002571346,0.0008281782,0.0013186057,0.0017113261,0.0070761107,0.0012618226,0.0029389034,0.0021883128],"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":[0.00016789242,0.00005709991,0.014015821,0.0003115595,0.00017536808,0.0003217264,0.00032014406,0.032543194,0.00028354375,0.9133692,0.007151693,0.03128274],"study_design_scores_gemma":[0.000020184569,0.000028097946,0.003409432,0.000087165696,0.00006036669,0.00010488903,0.0002814441,0.060475215,0.00013339907,0.92617154,0.009199815,0.000028432678],"about_ca_topic_score_codex":0.010025594,"about_ca_topic_score_gemma":0.0069336426,"teacher_disagreement_score":0.010025594,"about_ca_system_score_codex":0.0016735897,"about_ca_system_score_gemma":0.0016223838,"threshold_uncertainty_score":0.029112637},"labels":[],"label_agreement":null},{"id":"W2112913610","doi":"10.2202/1524-5861.1549","title":"Demographic Changes and the Gains from Globalisation: An Analysis of Ageing, Capital Flows, and International Trade","year":2010,"lang":"en","type":"article","venue":"Global economy journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Ceteris paribus; Economics; Globalization; Per capita; Consumption (sociology); Per capita income; Terms of trade; International trade; Human capital; China; International economics; Development economics; Economic growth; Market economy; Geography; Population","score_opus":0.01983318077237046,"score_gpt":0.22493898500015125,"score_spread":0.2051058042277808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112913610","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":[0.88736093,0.0043935794,0.06396457,0.008935374,0.00012595711,0.000061098544,0.0005465732,0.00006321405,0.034548644],"genre_scores_gemma":[0.99030894,0.0022484597,0.0016625636,0.0001950879,0.000066118126,0.000020735168,0.00009662839,0.000009305054,0.005392088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99988234,0.000047835667,0.0000037160648,0.00001523524,0.000012911104,0.000037949394],"domain_scores_gemma":[0.9995615,0.00018775121,0.00011758631,0.000021837079,0.000034850855,0.00007651123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007017857,0.0003742242,0.00036839748,0.0006843275,0.0005105518,0.0011361543,0.00040758925,0.00107272,0.0035135997],"category_scores_gemma":[0.0016382174,0.00020372862,0.0008862705,0.0007659106,0.00084581145,0.0017315692,0.0009079501,0.0007785815,0.00024246945],"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":[0.00015277897,0.00011035416,0.051912908,0.0000843551,0.00017523798,0.0012212116,0.0010820213,0.45533478,0.0008151736,0.4547796,0.0037732734,0.030558309],"study_design_scores_gemma":[0.000095169715,0.0002844743,0.054837286,0.00012346322,0.0002381237,0.0008606292,0.0010666084,0.586835,0.0003600519,0.33643192,0.018805213,0.000061910934],"about_ca_topic_score_codex":0.010608998,"about_ca_topic_score_gemma":0.00875517,"teacher_disagreement_score":0.010608998,"about_ca_system_score_codex":0.0009324468,"about_ca_system_score_gemma":0.00054021546,"threshold_uncertainty_score":0.021094501},"labels":[],"label_agreement":null},{"id":"W2113093106","doi":"10.1257/aer.102.7.3483","title":"Human Capital Prices, Productivity, and Growth","year":2012,"lang":"en","type":"article","venue":"American Economic Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Economics; Human capital; Productivity; Wage; Investment (military); Identification (biology); Relative price; Wage growth; Econometrics; Quality (philosophy); Monetary economics; Labour economics; Macroeconomics; Biology","score_opus":0.028320595874164356,"score_gpt":0.2461281244555284,"score_spread":0.21780752858136404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113093106","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":[0.83606815,0.04321553,0.013636961,0.011642,0.00023568294,0.000050454033,0.0022124187,0.00015072578,0.0927881],"genre_scores_gemma":[0.9870072,0.008382338,0.00055742956,0.00010290475,0.0001186079,0.000010210759,0.0003559009,0.000005632854,0.003459814],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9998677,0.00003565535,0.0000089042705,0.000028493365,0.000033504653,0.000025707242],"domain_scores_gemma":[0.9975668,0.0012530339,0.00070118567,0.00009178628,0.00026327107,0.00012394003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007649197,0.00018139042,0.00015486522,0.0010578431,0.0001542114,0.001438484,0.00017187446,0.00051139557,0.004687539],"category_scores_gemma":[0.0072368425,0.00011412129,0.00014674746,0.0019330712,0.0007811118,0.0011502934,0.00033591283,0.000517448,0.00037154727],"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":[0.00025718202,0.00015070135,0.28359303,0.00061866385,0.00024155556,0.0005678678,0.00058042817,0.050938398,0.0011810819,0.36035725,0.021029485,0.28048432],"study_design_scores_gemma":[0.00003937392,0.00008610938,0.5542055,0.0002532687,0.00007494294,0.00043114682,0.0006358588,0.021573957,0.0005524273,0.39097363,0.031141896,0.00003181878],"about_ca_topic_score_codex":0.0045295088,"about_ca_topic_score_gemma":0.003015487,"teacher_disagreement_score":0.004687539,"about_ca_system_score_codex":0.001198263,"about_ca_system_score_gemma":0.0004584523,"threshold_uncertainty_score":0.015681386},"labels":[],"label_agreement":null},{"id":"W2113156090","doi":"","title":"The Irish Economic Boom: What Can We Learn?","year":2001,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Irish; Economics; Productivity; Boom; Investment (military); Per capita; Gross domestic product; Real gross domestic product; Aggregate supply; Labour economics; Aggregate demand; Economy; Economic policy; Economic growth; Macroeconomics; Political science; Monetary policy; Engineering","score_opus":0.04749139139814031,"score_gpt":0.28129928418743033,"score_spread":0.23380789278929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113156090","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025786995,0.26796356,0.00033944155,0.6456477,0.04376987,0.00008717318,0.0029856223,0.00025759192,0.03637031],"genre_scores_gemma":[0.033094313,0.5618503,0.0014510137,0.31748778,0.04751439,0.00031873674,0.005581937,0.00037281643,0.032328755],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9965192,0.0007424845,0.00022126331,0.0004346989,0.00078972644,0.00129252],"domain_scores_gemma":[0.98700655,0.00268978,0.0008964458,0.0005556724,0.0045542363,0.004297307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071244873,0.002459503,0.003026078,0.004404232,0.003853628,0.021601597,0.0039177067,0.00898957,0.03460208],"category_scores_gemma":[0.021502467,0.0007961763,0.001974369,0.006389541,0.006011201,0.022810055,0.0070074545,0.016676662,0.015855752],"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":[0.00010750147,0.000100175064,0.0037373996,0.0017845504,0.00005495489,0.00015094124,0.00089767063,0.000076917575,0.000016244107,0.005357239,0.8351523,0.15256403],"study_design_scores_gemma":[0.00007384613,0.00012304996,0.013665211,0.014058236,0.000084621824,0.00023749487,0.013695238,0.00015181345,0.00006366463,0.008811858,0.94885737,0.0001775309],"about_ca_topic_score_codex":0.114426695,"about_ca_topic_score_gemma":0.14137909,"teacher_disagreement_score":0.114426695,"about_ca_system_score_codex":0.0133124525,"about_ca_system_score_gemma":0.027400669,"threshold_uncertainty_score":0.2275213},"labels":[],"label_agreement":null},{"id":"W2113424861","doi":"10.1111/1468-2354.t01-1-00039","title":"Unemployment and Growth in the Long Run: an Efficiency‐Wage Model With Optimal Savings*","year":2002,"lang":"en","type":"article","venue":"International Economic Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Economics; Unemployment; Efficiency wage; Endogenous growth theory; Wage growth; Growth model; Wage; Productivity; Unemployment rate; Labour economics; Wage rate; Growth rate; Macroeconomics; Human capital","score_opus":0.04473920427283206,"score_gpt":0.24416457885585224,"score_spread":0.19942537458302018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113424861","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":[0.5165755,0.0050786827,0.33588538,0.02297558,0.00022448986,0.00010616607,0.0013242044,0.0002905927,0.1175394],"genre_scores_gemma":[0.96371543,0.0015801025,0.0059025115,0.00027424566,0.000089107576,0.00009077093,0.00017704756,0.000039565202,0.028131152],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999782,0.00008238047,0.00001059112,0.000037945556,0.000024598805,0.00006246161],"domain_scores_gemma":[0.9995086,0.00021290434,0.000102406826,0.000027893117,0.00006545005,0.000082782855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011766208,0.0004753511,0.000782357,0.00045288837,0.00059204455,0.0020837341,0.0011360283,0.002004348,0.004450196],"category_scores_gemma":[0.002129441,0.0004741907,0.0007214108,0.00056746654,0.0011089272,0.0017602929,0.0011440128,0.0010918259,0.00078659854],"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":[0.00012992782,0.00008278246,0.0015000042,0.00006816946,0.000042172735,0.0002584544,0.0002890486,0.43240604,0.00049835455,0.555146,0.0036788245,0.005900262],"study_design_scores_gemma":[0.00009879716,0.000046051588,0.0009937396,0.000034724286,0.00003588171,0.00008019837,0.00013192925,0.7077874,0.00009824038,0.28693393,0.0037340478,0.000025087458],"about_ca_topic_score_codex":0.009708834,"about_ca_topic_score_gemma":0.00576579,"teacher_disagreement_score":0.009708834,"about_ca_system_score_codex":0.0017236901,"about_ca_system_score_gemma":0.0016407486,"threshold_uncertainty_score":0.019304633},"labels":[],"label_agreement":null},{"id":"W2114681179","doi":"","title":"Where Russians Should Live: A Counterfactual Alternative to Soviet Location Policy ⁄","year":2012,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"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":"Counterfactual thinking; Construct (python library); Population; Economics; Soviet union; World War II; Geography; Economy; Development economics; Political science; Demography; Sociology","score_opus":0.050397903493260995,"score_gpt":0.2400523765533317,"score_spread":0.18965447306007072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114681179","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":[0.9259564,0.00048090942,0.05302285,0.002782989,0.0003785231,0.00024677216,0.0025836173,0.000093758434,0.014454215],"genre_scores_gemma":[0.9952933,0.00006613712,0.0030309672,0.000120987184,0.000019982666,0.00010717152,0.000315814,0.0000074462973,0.0010381137],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99402547,0.0046946728,0.00015005196,0.0006307085,0.00021249903,0.00028660777],"domain_scores_gemma":[0.9884588,0.0072706304,0.002027637,0.0017091066,0.0003714181,0.00016236363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008945476,0.00036145444,0.000970374,0.00044740053,0.00071456743,0.0032433835,0.0015188573,0.0016511707,0.0074409097],"category_scores_gemma":[0.0241366,0.00024845882,0.0009225827,0.0009892503,0.0021435786,0.0014766882,0.0013515668,0.0013008863,0.00040824272],"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":[0.005855923,0.0006367614,0.0733443,0.00027190373,0.0010980259,0.0009333865,0.0017078746,0.34350115,0.0008693824,0.5445874,0.00670358,0.020490322],"study_design_scores_gemma":[0.0025770382,0.0010776947,0.03492217,0.00013989458,0.0010222064,0.0002182208,0.0028846709,0.6601288,0.0023054676,0.27375335,0.020790897,0.0001795739],"about_ca_topic_score_codex":0.016690932,"about_ca_topic_score_gemma":0.009349246,"teacher_disagreement_score":0.016690932,"about_ca_system_score_codex":0.0023342653,"about_ca_system_score_gemma":0.0011859693,"threshold_uncertainty_score":0.047308803},"labels":[],"label_agreement":null},{"id":"W2114706847","doi":"","title":"Recent Developments in Economic Growth","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Gross domestic product; Economics; Per capita income; Per capita; Welfare; Gross domestic income; Development economics; Resource allocation; Work (physics); Resource (disambiguation); Demographic economics; Public economics; Macroeconomics; Market economy; Gross income; Population","score_opus":0.030573844062623656,"score_gpt":0.19861335858958992,"score_spread":0.16803951452696628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114706847","genre_codex":"review","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":[0.0071218777,0.75434965,0.007973498,0.09386727,0.010854162,0.000022482485,0.00078782596,0.000101604215,0.12492165],"genre_scores_gemma":[0.07717689,0.8733651,0.0045884196,0.006913387,0.019496858,0.000051229785,0.0006508855,0.00006128941,0.017695984],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991767,0.0002557094,0.00005830157,0.00022194628,0.00021617477,0.00007123638],"domain_scores_gemma":[0.9955193,0.0025500227,0.00055760675,0.00030156085,0.00082442735,0.00024699137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021075257,0.0008499933,0.0006904056,0.0035199127,0.00086855097,0.004575445,0.00068415015,0.0020233488,0.0100412285],"category_scores_gemma":[0.008073394,0.00027391434,0.0003910353,0.010107667,0.0023460647,0.005895927,0.0019373575,0.0039049122,0.003635268],"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":[0.000084016916,0.000051278934,0.00272354,0.0020572175,0.000033788096,0.00022984002,0.0006180865,0.0013404365,0.00024919256,0.565848,0.09283848,0.33392614],"study_design_scores_gemma":[0.0000050953668,0.000034268214,0.004929993,0.0014340851,0.000018338922,0.00037676442,0.0005147066,0.00089063786,0.0001592799,0.11462147,0.87699044,0.000025046547],"about_ca_topic_score_codex":0.0019303428,"about_ca_topic_score_gemma":0.0018570317,"teacher_disagreement_score":0.0100412285,"about_ca_system_score_codex":0.0022059546,"about_ca_system_score_gemma":0.0015542383,"threshold_uncertainty_score":0.03359127},"labels":[],"label_agreement":null},{"id":"W2115273562","doi":"10.1257/aer.20151645","title":"Equilibrium Technology Diffusion, Trade, and Growth","year":2020,"lang":"en","type":"article","venue":"American Economic Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":153,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Welfare; International economics; Profit (economics); International trade; Competition (biology); Growth rate; Microeconomics; Market economy","score_opus":0.02357716932117089,"score_gpt":0.22062107167419825,"score_spread":0.19704390235302738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115273562","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":[0.87393266,0.002741702,0.06471213,0.0050206836,0.00006375085,0.000048032354,0.0007413758,0.00023141308,0.052508175],"genre_scores_gemma":[0.9929357,0.0011362276,0.0017556625,0.00006910724,0.000021756885,0.00002469456,0.00012570329,0.000016761027,0.00391446],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997199,0.00009915029,0.0000107974665,0.000055634348,0.000030753283,0.000083674895],"domain_scores_gemma":[0.9973501,0.0016683221,0.0005148909,0.00013879038,0.0001734893,0.00015440422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012170265,0.0004877539,0.0007299825,0.00095300685,0.0006351083,0.0027823215,0.00050448836,0.0016529788,0.0067479713],"category_scores_gemma":[0.0074726306,0.0003238833,0.0007708788,0.0011730264,0.0012380743,0.003831393,0.0010840095,0.00097147154,0.00067777344],"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":[0.00027466827,0.00017011656,0.015504398,0.00014968659,0.00009242032,0.00052550976,0.00036547126,0.4067224,0.003074568,0.54724926,0.0038858512,0.02198571],"study_design_scores_gemma":[0.00012877228,0.00013085754,0.0070212875,0.00006153007,0.0000560631,0.00024025547,0.00041617412,0.3950863,0.0011296306,0.5899068,0.005780987,0.000041338455],"about_ca_topic_score_codex":0.0049507287,"about_ca_topic_score_gemma":0.0027721254,"teacher_disagreement_score":0.0067479713,"about_ca_system_score_codex":0.0020801914,"about_ca_system_score_gemma":0.00066401716,"threshold_uncertainty_score":0.022574186},"labels":[],"label_agreement":null},{"id":"W2116012174","doi":"","title":"Human Capital, Productivity and Growth","year":2005,"lang":"en","type":"preprint","venue":"Scholarship@Western (Western University)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Human capital; Economics; Production (economics); Technological change; Productivity; Capital deepening; Quality (philosophy); Endogenous growth theory; Standard of living; Technical change; Labour economics; Physical capital; Capital (architecture); Capital Consumption Allowance; Macroeconomics; Capital formation; Financial capital; Economic growth; Market economy; Geography","score_opus":0.10413245006297558,"score_gpt":0.2731296161753972,"score_spread":0.16899716611242163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116012174","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":[0.6343465,0.04023396,0.13204926,0.006924661,0.00043435534,0.00011876335,0.008704124,0.000594746,0.17659363],"genre_scores_gemma":[0.97376096,0.007083038,0.007358671,0.0000962462,0.00011764675,0.000030128269,0.0017390754,0.00003526479,0.009778989],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99960214,0.000046110596,0.000014904333,0.000064596294,0.00019526792,0.000076958255],"domain_scores_gemma":[0.9981185,0.0008867514,0.00038962497,0.00016044902,0.00035214942,0.000092380775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072963856,0.00043130553,0.00033424958,0.0019230666,0.00029488403,0.0020232776,0.0003800557,0.0003436299,0.0031216298],"category_scores_gemma":[0.0042209355,0.000118883385,0.00026316705,0.0031552867,0.00096073037,0.0015720789,0.00063081284,0.00088916026,0.00041465377],"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":[0.00020790056,0.00007199035,0.18298908,0.00050102506,0.00025686264,0.0005609409,0.0012856055,0.1433639,0.002349832,0.33535573,0.009226856,0.32383028],"study_design_scores_gemma":[0.000029578123,0.00010417388,0.382806,0.00032834223,0.00010890376,0.0005242237,0.0012541232,0.05830759,0.0046251575,0.39389408,0.1578947,0.00012313985],"about_ca_topic_score_codex":0.07225737,"about_ca_topic_score_gemma":0.03466613,"teacher_disagreement_score":0.07225737,"about_ca_system_score_codex":0.0029434226,"about_ca_system_score_gemma":0.001488554,"threshold_uncertainty_score":0.1436736},"labels":[],"label_agreement":null},{"id":"W2116870458","doi":"10.1111/caje.12120","title":"Growth of business services: A supply‐side hypothesis","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tertiary sector of the economy; Industrialization of services business model; Business; Manufacturing sector; Service (business); Industrial organization; Scale (ratio); Human capital; Service economy; Economic sector; Labour economics; Economics; Marketing; Business model; Electronic business; Market economy; Economy","score_opus":0.15624294963985869,"score_gpt":0.16475960570864995,"score_spread":0.008516656068791262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116870458","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":[0.72910917,0.0021321776,0.019004434,0.051764477,0.00030937867,0.00020152591,0.0019218178,0.0002581707,0.19529898],"genre_scores_gemma":[0.99168336,0.00087157544,0.0004466208,0.00055270386,0.0002321628,0.000041258132,0.00028781992,0.000022726183,0.005861755],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994605,0.00007215627,0.000026040922,0.00008743042,0.00013717257,0.00021668064],"domain_scores_gemma":[0.9876095,0.0072237025,0.002227558,0.00030747204,0.0013335727,0.0012981793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015309404,0.00040046428,0.00061949226,0.001500317,0.0007357225,0.002976293,0.0005920237,0.0019761408,0.036776204],"category_scores_gemma":[0.007282511,0.00027047427,0.0007446691,0.0014526367,0.0027041207,0.0037384115,0.0019500175,0.0017398007,0.003524981],"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":[0.0010346377,0.0010000586,0.18711676,0.0010180272,0.00011213501,0.0029762678,0.0016333443,0.023234274,0.004185099,0.693155,0.02103712,0.06349738],"study_design_scores_gemma":[0.0007956032,0.0009949997,0.16203699,0.001031964,0.00015685521,0.0019097135,0.011235158,0.09597023,0.005477325,0.6709521,0.04932904,0.0001100625],"about_ca_topic_score_codex":0.0047343126,"about_ca_topic_score_gemma":0.0024851982,"teacher_disagreement_score":0.036776204,"about_ca_system_score_codex":0.0016638697,"about_ca_system_score_gemma":0.0014478926,"threshold_uncertainty_score":0.123028696},"labels":[],"label_agreement":null},{"id":"W2116940887","doi":"10.1111/j.1467-937x.2009.00579.x","title":"Endowments, Output, and the Bias of Directed Innovation","year":2009,"lang":"en","type":"article","venue":"The Review of Economic Studies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Factor endowment; Production (economics); Capital (architecture); Endowment; Developing country; Point (geometry); Factor price; Factors of production; Labour economics; Econometrics; Macroeconomics; Microeconomics; Economic growth","score_opus":0.11533830910454924,"score_gpt":0.2873412119253299,"score_spread":0.17200290282078068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116940887","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":[0.96851605,0.007315456,0.010173911,0.0017757632,0.0000679611,0.000027047345,0.0004389307,0.00006507742,0.011619742],"genre_scores_gemma":[0.99482536,0.0019799834,0.000869424,0.00017023567,0.00009362395,0.000014667908,0.00015562684,0.00001313027,0.0018780106],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986386,0.00047480396,0.00013434046,0.00034814345,0.00026337753,0.00014082548],"domain_scores_gemma":[0.97293967,0.014674922,0.008568537,0.0023345982,0.0010898095,0.0003925144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038394548,0.00022514032,0.00061749987,0.0013504659,0.0002421017,0.0018165316,0.00043047091,0.00063296134,0.002479808],"category_scores_gemma":[0.026846936,0.00019222237,0.00064212776,0.0018997777,0.0013419369,0.0017568575,0.0011533848,0.0006389283,0.0006090869],"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":[0.00058669073,0.00010140002,0.8736247,0.00039570028,0.00080169784,0.00045493056,0.0013305097,0.013773565,0.0033198441,0.038650554,0.00068824756,0.06627206],"study_design_scores_gemma":[0.00011237179,0.00033387155,0.82382345,0.00026983596,0.00041949423,0.0009666257,0.0011519134,0.009033251,0.005703571,0.14771484,0.010392465,0.00007829792],"about_ca_topic_score_codex":0.0015943395,"about_ca_topic_score_gemma":0.0010116146,"teacher_disagreement_score":0.0038394548,"about_ca_system_score_codex":0.0007137855,"about_ca_system_score_gemma":0.0003048431,"threshold_uncertainty_score":0.020305157},"labels":[],"label_agreement":null},{"id":"W2117166012","doi":"10.2139/ssrn.1264547","title":"Indian Economy - TFP or Factor Accumulation: A Comprehensive Growth Accounting Exercise","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","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":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Total factor productivity; Growth accounting; Economics; Monetary economics; Macroeconomics; Productivity","score_opus":0.0510118208515986,"score_gpt":0.24041184492980677,"score_spread":0.18940002407820816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117166012","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":[0.33164027,0.028418615,0.12579402,0.006593341,0.00085524743,0.0003284195,0.04190283,0.0031769946,0.46129027],"genre_scores_gemma":[0.8681078,0.024554396,0.03480944,0.000403542,0.0011000885,0.00012370343,0.010107904,0.0005024315,0.060290705],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99951637,0.00006226049,0.000051840223,0.000051971256,0.00025816596,0.00005938242],"domain_scores_gemma":[0.9976278,0.0007753473,0.00035690182,0.00041723746,0.00074750994,0.000075262804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094578444,0.00070486596,0.0009083447,0.0062837084,0.0007390653,0.0023390395,0.00085681945,0.00037273948,0.0063011954],"category_scores_gemma":[0.004777779,0.00031256455,0.0010170261,0.014141214,0.00052704645,0.0023851637,0.0009218323,0.0011291455,0.0018854063],"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":[0.00027972957,0.00022742742,0.06309055,0.00085074164,0.000491314,0.0012062975,0.000809155,0.07779747,0.002445397,0.35363457,0.072438784,0.42672858],"study_design_scores_gemma":[0.000038757396,0.00022744451,0.23257563,0.0006465976,0.0009082635,0.0014537795,0.0014569078,0.20748532,0.0082893325,0.2905482,0.25610557,0.0002642467],"about_ca_topic_score_codex":0.058615796,"about_ca_topic_score_gemma":0.05222312,"teacher_disagreement_score":0.058615796,"about_ca_system_score_codex":0.0015688938,"about_ca_system_score_gemma":0.0025611436,"threshold_uncertainty_score":0.11654925},"labels":[],"label_agreement":null},{"id":"W2117302850","doi":"","title":"The Importance of Innovation for Productivity","year":2001,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Economics; Productivity; Industrial organization; Macroeconomics","score_opus":0.04995899869206158,"score_gpt":0.23602476842703185,"score_spread":0.18606576973497027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117302850","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":[0.10720586,0.07964752,0.01700348,0.056293402,0.0021055972,0.00006713911,0.0009668663,0.00018357638,0.7365265],"genre_scores_gemma":[0.9452651,0.029838195,0.0026437722,0.001852594,0.0016637456,0.000030458095,0.00017589112,0.000028815646,0.018501291],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977176,0.0003665306,0.000115938295,0.00029532507,0.00095976685,0.0005447794],"domain_scores_gemma":[0.9953548,0.0017561129,0.0008978641,0.00033007524,0.00094171753,0.00071946636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015648067,0.00039816924,0.00038534403,0.0015571697,0.0013720779,0.0063316994,0.0003988025,0.0012163515,0.0076822736],"category_scores_gemma":[0.007985206,0.00011196612,0.0003591322,0.0024951866,0.0036209768,0.0033556886,0.0024080228,0.0013698465,0.002220691],"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":[0.00011879825,0.000088825465,0.032811906,0.00080487126,0.00013074127,0.00037696946,0.0011520374,0.0026877471,0.001887369,0.67262,0.028094014,0.2592267],"study_design_scores_gemma":[0.000023850042,0.00014595827,0.063508175,0.00056538446,0.00007299609,0.0005137737,0.0013758924,0.0014725148,0.0017341152,0.5699752,0.36054918,0.00006309548],"about_ca_topic_score_codex":0.0047576306,"about_ca_topic_score_gemma":0.0038261954,"teacher_disagreement_score":0.0076822736,"about_ca_system_score_codex":0.0032247426,"about_ca_system_score_gemma":0.002835512,"threshold_uncertainty_score":0.025699735},"labels":[],"label_agreement":null},{"id":"W2117456765","doi":"10.5539/ass.v8n4p190","title":"Fiscal Policy, Labour Productivity Growth and Convergence between Agriculture and Manufacturing: Implications for Poverty Reduction in Cameroon","year":2012,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Global Development Network","keywords":"Productivity; Agriculture; Convergence (economics); Economics; Poverty; Agricultural productivity; Tertiary sector of the economy; Labour economics; Inequality; Development economics; Economic growth; Economy","score_opus":0.025361206687054837,"score_gpt":0.25120307923469026,"score_spread":0.22584187254763544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117456765","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":[0.98415565,0.0047624456,0.00031791173,0.0068569626,0.000032021864,0.000014598062,0.00040497692,0.0000075149833,0.0034479436],"genre_scores_gemma":[0.9978567,0.001398577,0.00012050045,0.000121805584,0.000011228241,0.0000067271503,0.000077216915,0.0000018220237,0.00040548635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994636,0.00015326137,0.000021060387,0.000038820002,0.00002746494,0.00029567772],"domain_scores_gemma":[0.9989254,0.00027508548,0.0004436842,0.000017564475,0.0001394559,0.0001988063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001210867,0.0003167777,0.0002877624,0.0019060132,0.00091258285,0.0017317976,0.00024730808,0.00040670103,0.0026760956],"category_scores_gemma":[0.002462856,0.00013225418,0.00021017868,0.0032568611,0.00085003785,0.0016497227,0.0014097944,0.0008094087,0.0001085906],"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":[0.001404828,0.0002134759,0.81950957,0.0005587442,0.00013782842,0.0035261016,0.0053541437,0.018498102,0.0024071853,0.050498627,0.0036772566,0.09421411],"study_design_scores_gemma":[0.00003356729,0.00011391375,0.9652996,0.00044262683,0.000053328316,0.00023544396,0.010181096,0.006162708,0.00080026174,0.0058761803,0.010773861,0.000027313343],"about_ca_topic_score_codex":0.09370924,"about_ca_topic_score_gemma":0.07403731,"teacher_disagreement_score":0.09370924,"about_ca_system_score_codex":0.005722341,"about_ca_system_score_gemma":0.0039047585,"threshold_uncertainty_score":0.18632758},"labels":[],"label_agreement":null},{"id":"W2117460303","doi":"10.3968/j.css.1923669720070305.009","title":"The Research on Performance of Industrial Innovation System","year":2010,"lang":"en","type":"article","venue":"Canadian social science","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Industrial organization; Management; Business; Economics; Philosophy","score_opus":0.13830877781770462,"score_gpt":0.2817562486894091,"score_spread":0.14344747087170445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117460303","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38383985,0.014118576,0.32826295,0.0050630094,0.00048650824,0.00047420763,0.0008895707,0.00086704496,0.2659982],"genre_scores_gemma":[0.97219175,0.0030851855,0.020098478,0.00010928778,0.00014229731,0.0001773283,0.00024404326,0.000078572055,0.0038729887],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9916897,0.0035769832,0.0005972283,0.00091952964,0.0026512665,0.0005652166],"domain_scores_gemma":[0.9837871,0.009092188,0.0018037523,0.0011999113,0.003582142,0.000534959],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0074614943,0.0009209553,0.00056792784,0.006993314,0.0010345983,0.0051832693,0.0008795341,0.000988748,0.0061965655],"category_scores_gemma":[0.02307391,0.00028976277,0.0011270328,0.008680831,0.0029120664,0.008590987,0.0022978298,0.001347667,0.0007935],"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":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020822238,0.00019445394,0.08221584,0.0016417468,0.00036398467,0.00016820706,0.0047089327,0.044320993,0.003060884,0.55487865,0.0047637224,0.3034743],"study_design_scores_gemma":[0.0000953149,0.0017898417,0.22578263,0.001837524,0.00055732566,0.00069594453,0.008991379,0.213673,0.019122202,0.3990196,0.12804812,0.00038716977],"about_ca_topic_score_codex":0.003560749,"about_ca_topic_score_gemma":0.0012773357,"teacher_disagreement_score":0.9943179,"about_ca_system_score_codex":0.005682091,"about_ca_system_score_gemma":0.0024082907,"threshold_uncertainty_score":0.041226685},"labels":[],"label_agreement":null},{"id":"W2117889655","doi":"10.5539/ijef.v5n6p157","title":"Foreign Direct Investments and Economic Growth in Sub-Saharan African Countries: A Comparative Analysis between Landlocked Countries and Countries Having Access to the Sea","year":2013,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Landlocked country; Foreign direct investment; Openness to experience; Panel data; International economics; Developing country; Economics; Business; International trade; Development economics; Economic growth; Macroeconomics; Political science","score_opus":0.03157239399798601,"score_gpt":0.24938150164767586,"score_spread":0.21780910764968986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117889655","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":[0.9973513,0.0012947087,0.00003577871,0.00009233319,0.000004168804,0.0000015965021,0.00029899637,0.0000012125618,0.0009199177],"genre_scores_gemma":[0.9980432,0.001314941,0.000034098837,0.0000124560465,0.0000060269126,0.0000033026206,0.00039735693,9.160294e-7,0.00018777736],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979204,0.0000699706,0.000015227473,0.000020741678,0.000021966407,0.00008002782],"domain_scores_gemma":[0.99852777,0.00059379183,0.0005502156,0.00003648641,0.00012337885,0.0001683214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044075015,0.00024930286,0.00025206918,0.0019186921,0.00028425982,0.0010288954,0.0001461845,0.00023650873,0.0014564575],"category_scores_gemma":[0.0017382893,0.00013728041,0.0003462868,0.0037724823,0.00042798073,0.00077733264,0.0006121341,0.0003519932,0.00020026001],"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":[0.00011971315,0.00004758918,0.9906849,0.000046027337,0.00011660757,0.00040141563,0.0005016829,0.0010984767,0.00013279679,0.0010555866,0.00031662086,0.005478615],"study_design_scores_gemma":[0.000011856171,0.00007131261,0.993749,0.00007460004,0.00006106075,0.00019376201,0.0027193285,0.0009434754,0.00019753331,0.00025013692,0.0017212017,0.0000067222545],"about_ca_topic_score_codex":0.011409725,"about_ca_topic_score_gemma":0.01298025,"teacher_disagreement_score":0.011409725,"about_ca_system_score_codex":0.0004559822,"about_ca_system_score_gemma":0.00038964974,"threshold_uncertainty_score":0.02268666},"labels":[],"label_agreement":null},{"id":"W2118518849","doi":"10.1111/0008-4085.00097","title":"Distributional dynamics following a technological revolution","year":2001,"lang":"fr","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Humanities; Political science; Earnings; Economics; Welfare economics; Philosophy; Finance","score_opus":0.09602998599800425,"score_gpt":0.1760506781302371,"score_spread":0.08002069213223284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118518849","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":[0.93167317,0.0011474532,0.02446828,0.0040227454,0.00007557261,0.000025602321,0.0002886988,0.000110359644,0.03818812],"genre_scores_gemma":[0.99368024,0.00036362905,0.0008694375,0.00008492712,0.00003648523,0.000012650886,0.000099781086,0.000017564435,0.0048352187],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995863,0.000075053045,0.000019726576,0.00009852149,0.000095410556,0.0001248924],"domain_scores_gemma":[0.9975297,0.00072022923,0.00078072364,0.00026816525,0.00039236067,0.00030882237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086368393,0.0001274048,0.00042223264,0.0014865034,0.0012288545,0.0022239021,0.00061726593,0.000950288,0.009150796],"category_scores_gemma":[0.008730149,0.00015314536,0.00040347752,0.0011315387,0.0018806788,0.0031027247,0.0022583953,0.00092529674,0.0007847882],"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":[0.00021732898,0.000091061615,0.04198335,0.00007566839,0.000058151687,0.0012053625,0.0020162358,0.04242635,0.003645059,0.8564612,0.0043817777,0.047438405],"study_design_scores_gemma":[0.00006505799,0.00017008763,0.076741464,0.000059011727,0.00003336294,0.0012295706,0.0038797273,0.10825832,0.0014454526,0.7761402,0.03187857,0.000099237914],"about_ca_topic_score_codex":0.0033062792,"about_ca_topic_score_gemma":0.002249604,"teacher_disagreement_score":0.009150796,"about_ca_system_score_codex":0.0019642827,"about_ca_system_score_gemma":0.00047828772,"threshold_uncertainty_score":0.030612469},"labels":[],"label_agreement":null},{"id":"W2119317550","doi":"10.1017/s1744137409990014","title":"Economic growth related to mutually interdependent institutions and technology","year":2009,"lang":"en","type":"article","venue":"Journal of Institutional Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Industrial Revolution; Institution; Culmination; Steam engine; Power (physics); Interdependence; Economic system; Economics; Neoclassical economics; Market economy; Political science; Engineering; Law; Mechanical engineering","score_opus":0.01844403290055025,"score_gpt":0.22776027130612642,"score_spread":0.20931623840557617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119317550","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":[0.90224445,0.0012026769,0.0105324425,0.005206618,0.000041060626,0.000049197155,0.00014934996,0.000040319126,0.08053376],"genre_scores_gemma":[0.9987255,0.00023322951,0.00039392308,0.000036651738,0.000016906097,0.00001026334,0.000029747851,0.0000024276283,0.00055140094],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99839705,0.0006571942,0.00009224525,0.00019458198,0.00029182178,0.00036710285],"domain_scores_gemma":[0.98010486,0.00891788,0.00622309,0.0009838985,0.0024950076,0.0012752071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019906624,0.00031542158,0.0002711523,0.0015829183,0.0011958093,0.0031276734,0.00038215437,0.0009762257,0.005669432],"category_scores_gemma":[0.011356825,0.0001535394,0.00037765736,0.0020583284,0.0057989187,0.0032760627,0.004951791,0.0016384247,0.00041209688],"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":[0.00038503422,0.0003814259,0.17103909,0.000292741,0.00018664285,0.00090007763,0.0020671464,0.03487488,0.0013925567,0.7422463,0.0020527798,0.044181343],"study_design_scores_gemma":[0.00009053384,0.000117405354,0.12907206,0.00015699248,0.00010912044,0.000563132,0.0034187667,0.01823861,0.0015943852,0.8388487,0.0077402336,0.000050121947],"about_ca_topic_score_codex":0.001093105,"about_ca_topic_score_gemma":0.00068379194,"teacher_disagreement_score":0.005669432,"about_ca_system_score_codex":0.0023355337,"about_ca_system_score_gemma":0.0011777265,"threshold_uncertainty_score":0.018966198},"labels":[],"label_agreement":null},{"id":"W2119600118","doi":"10.2139/ssrn.2543922","title":"Baby-Boom, Baby-Bust and the Great Depression","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"Université de Montréal","funders":"","keywords":"Bust; Baby boom; Cohort; Boom; Great Depression; Fertility; Depression (economics); Economics; Demographic economics; Incentive; Crash; Labour economics; Demography; Medicine; Political science; Keynesian economics; Sociology; Engineering; Market economy; Population","score_opus":0.010124554042932636,"score_gpt":0.18788449020742107,"score_spread":0.17775993616448843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119600118","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":[0.70221686,0.037854724,0.00024652277,0.2142396,0.00096146506,0.000012399294,0.0021823207,0.00002112684,0.042264957],"genre_scores_gemma":[0.9825729,0.009437319,0.000030271302,0.0030702543,0.00060964865,0.000004115309,0.00023997473,0.000007388795,0.0040281694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983907,0.000033044973,0.00000811303,0.00001559373,0.000016134627,0.000088023255],"domain_scores_gemma":[0.9991239,0.00017103793,0.0002806254,0.00002700634,0.000053731164,0.00034378484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004994763,0.00010702086,0.0002807889,0.00038048075,0.00062553416,0.0017399671,0.0002082495,0.0014266968,0.0057827435],"category_scores_gemma":[0.0030081286,0.00008758631,0.00013047188,0.0014989033,0.0011582524,0.0011834207,0.0007985777,0.0015203492,0.00034266402],"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":[0.0016640059,0.00027546464,0.39148012,0.0005126161,0.00018304161,0.0029755034,0.0066193338,0.0013228281,0.0005863194,0.24581413,0.21576133,0.13280532],"study_design_scores_gemma":[0.00012262653,0.00011254582,0.82678807,0.00041159263,0.00009246587,0.0007775858,0.012364583,0.0007749452,0.00016413906,0.070277445,0.088077016,0.00003707278],"about_ca_topic_score_codex":0.020535445,"about_ca_topic_score_gemma":0.047301233,"teacher_disagreement_score":0.020535445,"about_ca_system_score_codex":0.000997474,"about_ca_system_score_gemma":0.000831915,"threshold_uncertainty_score":0.040831804},"labels":[],"label_agreement":null},{"id":"W2119815702","doi":"10.26481/umamer.2002022","title":"Comparing the innovation performance of Canadian firms and those of selected European countries: an econometric analysis","year":2002,"lang":"en","type":"paratext","venue":"Data Archiving and Networked Services (DANS)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"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":"Probit model; Competition (biology); Econometric analysis; Government (linguistics); Probit; Business; Econometric model; Novelty; Ordered probit; Survey data collection; Economics; Industrial organization; Econometrics; Statistics","score_opus":0.05537051517056445,"score_gpt":0.22052030014310098,"score_spread":0.16514978497253652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119815702","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":[0.98305225,0.00081209536,0.0013526593,0.00044561538,0.000018639266,0.00007494759,0.0061064656,0.00005593009,0.008081429],"genre_scores_gemma":[0.9847986,0.0006820384,0.001468522,0.000080118385,0.000019811789,0.000044168002,0.009234626,0.000017071012,0.0036550711],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982926,0.0002392786,0.000058439335,0.00021052982,0.00051139167,0.0006877309],"domain_scores_gemma":[0.9962645,0.0013733732,0.00047322598,0.00014645407,0.0013392752,0.00040308764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025363464,0.00056125986,0.0006996081,0.0059311395,0.0017251018,0.0020724307,0.0011232392,0.0005967296,0.0030270736],"category_scores_gemma":[0.0068179406,0.00027037627,0.0014588847,0.012479294,0.0009139224,0.0005242884,0.0010844562,0.0009090521,0.00036586684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025389146,0.00015615433,0.9382249,0.00008241894,0.0003946632,0.00034290733,0.0010973976,0.021899853,0.00027321724,0.005839044,0.0049428786,0.02649257],"study_design_scores_gemma":[0.000025011977,0.000050583243,0.97027963,0.000032270505,0.00014479487,0.00007112608,0.0017982692,0.021964243,0.00021177111,0.0004106606,0.0049553863,0.000056235906],"about_ca_topic_score_codex":0.9862438,"about_ca_topic_score_gemma":0.9805117,"teacher_disagreement_score":0.97329664,"about_ca_system_score_codex":0.026703352,"about_ca_system_score_gemma":0.017305568,"threshold_uncertainty_score":0.19374728},"labels":[],"label_agreement":null},{"id":"W2120963378","doi":"","title":"Cycles of Innovation and Financial Propagation","year":2011,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Booth University College","funders":"","keywords":"Competition (biology); Economics; Systemic risk; Financial market; Boom; Monetary economics; Channel (broadcasting); Finance; Business; Macroeconomics; Financial crisis; Telecommunications","score_opus":0.053106430207909776,"score_gpt":0.2001423136477748,"score_spread":0.147035883439865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120963378","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":[0.7904505,0.0026442704,0.07950428,0.008464083,0.000116188676,0.000114896815,0.00081107666,0.00030289835,0.11759176],"genre_scores_gemma":[0.9903375,0.0005905028,0.0013479567,0.00012312611,0.000031702442,0.00002803246,0.00007601946,0.00001293963,0.007452129],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99964345,0.000092010414,0.00001815939,0.000085725944,0.00006153299,0.00009926361],"domain_scores_gemma":[0.9974171,0.0010623541,0.0009071703,0.00012422373,0.00021758117,0.0002714797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010232959,0.00035689137,0.0003674135,0.000990355,0.0006121035,0.0027889672,0.0006993525,0.0023420434,0.0072254743],"category_scores_gemma":[0.007653222,0.00031956413,0.000457181,0.0007057815,0.0016856535,0.0038880906,0.0010552991,0.0010564986,0.0005632677],"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":[0.0001659931,0.000099573874,0.021273907,0.0000885761,0.000053960986,0.0006846615,0.0006112045,0.20141514,0.0012172891,0.7243616,0.0043334733,0.04569458],"study_design_scores_gemma":[0.00006901941,0.000104705025,0.019964762,0.0000664299,0.000042512944,0.0004283737,0.0005154219,0.34328362,0.00042016993,0.6208434,0.014157578,0.000103934806],"about_ca_topic_score_codex":0.008165612,"about_ca_topic_score_gemma":0.0042812848,"teacher_disagreement_score":0.008165612,"about_ca_system_score_codex":0.002253757,"about_ca_system_score_gemma":0.00085977017,"threshold_uncertainty_score":0.02417165},"labels":[],"label_agreement":null},{"id":"W2121255685","doi":"10.2139/ssrn.1279467","title":"The Evolution of Education: A Macroeconomic Analysis","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":16,"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":"Economics; Econometrics; Macroeconomics; Political science","score_opus":0.009939544330007063,"score_gpt":0.2002731613418126,"score_spread":0.19033361701180554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121255685","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":[0.89470124,0.019162351,0.0053290064,0.031533353,0.00025929732,0.00006766735,0.008052637,0.00016513799,0.040729355],"genre_scores_gemma":[0.9875365,0.004453334,0.00048458623,0.00042109189,0.00020518094,0.000012092181,0.0011499437,0.000022885779,0.0057144463],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996482,0.00008336711,0.000021931244,0.00008031501,0.000055750967,0.00011038482],"domain_scores_gemma":[0.9976628,0.00083169364,0.00074149464,0.00007572386,0.00026775277,0.0004205074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076487235,0.0002732372,0.00044956995,0.0020304518,0.000532682,0.0039238017,0.00036503767,0.0018928474,0.006060911],"category_scores_gemma":[0.0038014918,0.00025790534,0.0006687416,0.0047913934,0.0007186394,0.0024184517,0.0010242113,0.0016925241,0.00064347615],"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":[0.0011468526,0.00046713202,0.53148615,0.00039471404,0.00044443738,0.0014200669,0.0011684361,0.05166982,0.0013260897,0.30598062,0.025065357,0.07943023],"study_design_scores_gemma":[0.00013478458,0.00039462288,0.8154101,0.000297921,0.0004361581,0.00060355355,0.0021394996,0.06293512,0.0011707788,0.0505984,0.0657814,0.00009776543],"about_ca_topic_score_codex":0.026288109,"about_ca_topic_score_gemma":0.024659958,"teacher_disagreement_score":0.026288109,"about_ca_system_score_codex":0.0027267805,"about_ca_system_score_gemma":0.0009086229,"threshold_uncertainty_score":0.052270234},"labels":[],"label_agreement":null},{"id":"W2122204744","doi":"10.1109/iemc.2004.1407110","title":"From innovation to enterprise - the role of technology commercialization in sustaining economic growth","year":2005,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"TRIUMF","funders":"","keywords":"Commercialization; License; Technology transfer; Business; Profit (economics); Process (computing); Industrial organization; Innovation management; Marketing; Economics; Computer science; International trade","score_opus":0.012613759005202476,"score_gpt":0.2146208004405281,"score_spread":0.2020070414353256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122204744","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":[0.11744727,0.02563059,0.102777794,0.037202798,0.00046917162,0.00024209666,0.00025472685,0.00023663897,0.7157389],"genre_scores_gemma":[0.9620326,0.013071537,0.008950293,0.000817411,0.00026329877,0.000098037264,0.000051267405,0.000029584895,0.014685887],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985001,0.00063661253,0.000051181585,0.00017647824,0.000311982,0.00032368558],"domain_scores_gemma":[0.99588156,0.002799871,0.00035520777,0.00027522063,0.00032127887,0.0003669526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020602753,0.00038178478,0.0004377726,0.001503104,0.0018630933,0.008056048,0.0007695683,0.0020921542,0.008118018],"category_scores_gemma":[0.0056987754,0.00017945848,0.0004812993,0.0021970472,0.010322943,0.014083264,0.003674064,0.002151466,0.0010815581],"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":[0.000025866806,0.000026741967,0.0013256351,0.00012807397,0.0000060564103,0.0001633679,0.0006525363,0.0012519356,0.00027732132,0.9695749,0.001242594,0.025325015],"study_design_scores_gemma":[0.000008139011,0.00005429168,0.0015931735,0.00016153703,0.000007919482,0.00014892677,0.001188174,0.0015097859,0.00073858583,0.96009225,0.034482285,0.0000150644255],"about_ca_topic_score_codex":0.0023790707,"about_ca_topic_score_gemma":0.0013426611,"teacher_disagreement_score":0.008118018,"about_ca_system_score_codex":0.0028040318,"about_ca_system_score_gemma":0.0031903258,"threshold_uncertainty_score":0.027157426},"labels":[],"label_agreement":null},{"id":"W2123831602","doi":"10.7202/600969ar","title":"Modèle d’estimation de l’élasticité de substitution et du progrès technologique","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Economics; Elasticity of substitution; Substitution (logic); Elasticity (physics); Capital (architecture); Econometrics; Mathematics; Mathematical economics; Microeconomics; Production (economics); Thermodynamics; Philosophy; Physics; Art","score_opus":0.05574214005759957,"score_gpt":0.226375082759037,"score_spread":0.17063294270143742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123831602","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":[0.05639513,0.0008216471,0.9332797,0.001429062,0.00009301119,0.00011561616,0.0015804861,0.00055183435,0.0057335603],"genre_scores_gemma":[0.7323956,0.0026011972,0.22797452,0.0002980948,0.00026239298,0.0012080625,0.0028335657,0.00022138796,0.03220514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889296,0.0005285125,0.00004544595,0.0002558475,0.00017164247,0.00010564485],"domain_scores_gemma":[0.9954594,0.0037426911,0.00032106705,0.00016779105,0.00024807607,0.000060907398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003534949,0.0011157299,0.0014650486,0.0014473047,0.00034122574,0.0022128725,0.0020723902,0.0026321332,0.007846469],"category_scores_gemma":[0.010583783,0.0009922009,0.0013287194,0.0015030081,0.0009817942,0.0018292589,0.0009769901,0.0023437655,0.0020738433],"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":[0.000093258124,0.00008678084,0.0048284284,0.0001013946,0.00015519744,0.00011860369,0.00013583658,0.8933327,0.0007044022,0.07533833,0.0016370019,0.02346797],"study_design_scores_gemma":[0.00004248004,0.000030096984,0.0016352583,0.000024192464,0.0000345438,0.000058083595,0.000018621125,0.9715465,0.00032858024,0.023795085,0.002457405,0.000029142913],"about_ca_topic_score_codex":0.01804233,"about_ca_topic_score_gemma":0.0077743796,"teacher_disagreement_score":0.01804233,"about_ca_system_score_codex":0.0016003151,"about_ca_system_score_gemma":0.002064394,"threshold_uncertainty_score":0.035874605},"labels":[],"label_agreement":null},{"id":"W2124083132","doi":"10.1257/jep.15.1.81","title":"A Symposium on the North American Economy","year":2001,"lang":"en","type":"article","venue":"The Journal of Economic Perspectives","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":253,"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":"Per capita; Gross domestic product; Purchasing power; Real gross domestic product; Economics; Agricultural economics; Subsistence agriculture; Per capita income; Geography; Agriculture; Economy; Population; Economic growth; Demography; Monetary economics","score_opus":0.02427077289448284,"score_gpt":0.21763112050943056,"score_spread":0.19336034761494772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124083132","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012168013,0.1683985,0.00045201572,0.25209075,0.05896105,0.000024151466,0.00020694904,0.00006182787,0.51858795],"genre_scores_gemma":[0.036376536,0.15756753,0.00084121205,0.097041816,0.03663713,0.00015990308,0.0003057009,0.00017985606,0.67089033],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99841416,0.0004982938,0.00005696935,0.0001928756,0.00048549165,0.00035216942],"domain_scores_gemma":[0.99897766,0.00023292958,0.0000492745,0.000074635376,0.000308333,0.0003571493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019600883,0.0011757839,0.0007158922,0.0015830925,0.008177852,0.012050116,0.0012335593,0.006212622,0.06373876],"category_scores_gemma":[0.0028533468,0.0003625325,0.00073227164,0.001939231,0.003965521,0.009003561,0.0055841045,0.009363252,0.01588268],"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":[0.000010379858,0.00004289271,0.0001944095,0.00010320275,0.0000041121925,0.0001077975,0.0006976016,0.000041383923,0.000055249773,0.119556144,0.85595727,0.023229586],"study_design_scores_gemma":[0.0000012069819,0.0000019751442,0.00014286878,0.00016330388,8.0742115e-7,0.000026070102,0.000290572,0.000009228653,0.000008176392,0.0066312263,0.992722,0.0000026982218],"about_ca_topic_score_codex":0.010516391,"about_ca_topic_score_gemma":0.02011687,"teacher_disagreement_score":0.06373876,"about_ca_system_score_codex":0.0056297183,"about_ca_system_score_gemma":0.011314293,"threshold_uncertainty_score":0.21322739},"labels":[],"label_agreement":null},{"id":"W2125109859","doi":"10.1111/1467-9442.t01-2-00007","title":"Recent Technological and Economic Change among Industrialized Countries: Insights from Population Growth*","year":2003,"lang":"en","type":"article","venue":"Scandinavian Journal of Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Population growth; Developed country; Developing country; Population; Technological change; Demographic economics; Work (physics); Human capital; Development economics; Economic growth; Macroeconomics; Demography","score_opus":0.05564068441584366,"score_gpt":0.21765938721369604,"score_spread":0.16201870279785238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125109859","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":[0.9929404,0.0011653743,0.0003080073,0.00063373963,0.000010984407,0.000004804708,0.00065774424,0.000007276803,0.0042716623],"genre_scores_gemma":[0.99846065,0.0006637408,0.000083885534,0.000042675634,0.000022318176,0.0000035033834,0.00051102723,0.0000014928252,0.00021066167],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974483,0.00006539811,0.000018841232,0.00004486477,0.000043995624,0.0000820766],"domain_scores_gemma":[0.997701,0.0007835447,0.0008369491,0.00014062083,0.00035240213,0.00018550835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091007206,0.0001431404,0.00028424707,0.0022365982,0.00032484284,0.0008951933,0.00020047723,0.00031118907,0.0020808873],"category_scores_gemma":[0.0037445151,0.000103861836,0.00041470415,0.0031428074,0.00053306675,0.0007745388,0.0007824301,0.00054623454,0.00017759064],"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":[0.00006818412,0.00005191361,0.97038764,0.000046248326,0.00013678966,0.00028305524,0.0010606655,0.003207201,0.00023647671,0.0036610186,0.00072862883,0.020132165],"study_design_scores_gemma":[0.000004102537,0.000036911675,0.99486816,0.000023165756,0.000029961051,0.00013124895,0.00086921686,0.0010787908,0.000091768634,0.0008260253,0.0020332404,0.00000738842],"about_ca_topic_score_codex":0.01335956,"about_ca_topic_score_gemma":0.01079187,"teacher_disagreement_score":0.01335956,"about_ca_system_score_codex":0.00042511208,"about_ca_system_score_gemma":0.00020868203,"threshold_uncertainty_score":0.026563585},"labels":[],"label_agreement":null},{"id":"W2125120454","doi":"10.1007/s11123-009-0132-z","title":"Disaggregate productivity comparisons: sectoral convergence in OECD countries","year":2009,"lang":"en","type":"article","venue":"Journal of Productivity Analysis","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":28,"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":"Economics; Purchasing power parity; Productivity; Convergence (economics); Currency; Purchasing power; Relative price; Exchange rate; Differential (mechanical device); Tertiary sector of the economy; Econometrics; International economics; Monetary economics; Macroeconomics; Economy","score_opus":0.029404778737123067,"score_gpt":0.24001784871074044,"score_spread":0.21061306997361737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125120454","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":[0.9779926,0.001481096,0.0009183197,0.0003998805,0.000030879084,0.000023809589,0.0072440323,0.00007123553,0.011838106],"genre_scores_gemma":[0.9904807,0.0006378045,0.0006393416,0.00010070402,0.000035094577,0.000023717546,0.0073950184,0.000017640923,0.0006699444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986374,0.0004406215,0.00014538194,0.00016514516,0.00031389296,0.00029755852],"domain_scores_gemma":[0.9940661,0.0016625022,0.0011849294,0.00080716587,0.0020110917,0.00026818542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029342568,0.00034427686,0.00080050837,0.009380801,0.00047498688,0.0025188685,0.0003946166,0.0005671589,0.003831033],"category_scores_gemma":[0.008420957,0.00020573926,0.00078917306,0.016433634,0.0005079575,0.0017944811,0.0029872765,0.00051831704,0.0009252107],"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":[0.0023859618,0.0002404629,0.7965523,0.000465687,0.0015332713,0.0008703157,0.0059317676,0.019324241,0.0033014736,0.025052039,0.016874632,0.12746792],"study_design_scores_gemma":[0.000041617226,0.000104375446,0.98163486,0.00010824355,0.00019317932,0.00013008714,0.0035858948,0.0018922604,0.0006842058,0.0036992137,0.007904011,0.000022126194],"about_ca_topic_score_codex":0.02246957,"about_ca_topic_score_gemma":0.018340273,"teacher_disagreement_score":0.02246957,"about_ca_system_score_codex":0.0010737609,"about_ca_system_score_gemma":0.0009871301,"threshold_uncertainty_score":0.044677556},"labels":[],"label_agreement":null},{"id":"W2125335367","doi":"10.5430/wje.v3n5p34","title":"Educational Poverty by Design: A Case of Mismanagement of National Resources","year":2013,"lang":"en","type":"article","venue":"World Journal of Education","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Poverty; Prosperity; Basic needs; Economic growth; Developing country; Competence (human resources); Standard of living; Development economics; Culture of poverty; Political science; Economics; Law","score_opus":0.027897074753504437,"score_gpt":0.24047853228077345,"score_spread":0.212581457527269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125335367","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":[0.67037916,0.0022534896,0.036307264,0.051253818,0.00026760463,0.00036674042,0.00011624765,0.00013466817,0.238921],"genre_scores_gemma":[0.98276734,0.000488056,0.0050779735,0.0025688617,0.000048033064,0.00016437547,0.000011309536,0.000031026524,0.008843024],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.982052,0.011991066,0.0004754484,0.0007842977,0.002039797,0.0026573814],"domain_scores_gemma":[0.98156023,0.009385519,0.004285179,0.0017862926,0.001772777,0.0012099751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016613195,0.0004452216,0.0006320035,0.002715653,0.01007519,0.005755464,0.0014271146,0.0057140803,0.005677015],"category_scores_gemma":[0.022711089,0.00046357428,0.00067804573,0.0024649936,0.016897041,0.0048618955,0.007745023,0.002875172,0.0003858557],"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":[0.00019355572,0.00030088326,0.03166814,0.00028147412,0.000054054035,0.020001112,0.09200533,0.0016279415,0.0006447257,0.80316776,0.009235555,0.04081937],"study_design_scores_gemma":[0.00022506196,0.0007820627,0.020482825,0.0015658239,0.00015071807,0.030831853,0.15740976,0.007905227,0.002982366,0.42847422,0.3490031,0.0001869461],"about_ca_topic_score_codex":0.0050498853,"about_ca_topic_score_gemma":0.007674978,"teacher_disagreement_score":0.016613195,"about_ca_system_score_codex":0.00569964,"about_ca_system_score_gemma":0.0042879945,"threshold_uncertainty_score":0.08786005},"labels":[],"label_agreement":null},{"id":"W2126471224","doi":"10.3386/w10279","title":"Cross-country Conversion Factors for Sectoral Productivity Comparisons","year":2004,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Productivity; Economics; Economic geography; Business; Agricultural economics; Econometrics; Natural resource economics; Macroeconomics","score_opus":0.4318696400159608,"score_gpt":0.4805992051022354,"score_spread":0.04872956508627463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126471224","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27754945,0.005758065,0.28490824,0.0013639677,0.0039686947,0.0043961336,0.13434997,0.0030703163,0.2846352],"genre_scores_gemma":[0.58045715,0.0022691626,0.25826618,0.00043061035,0.0004365997,0.006150136,0.13174084,0.0016535296,0.018595826],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9895935,0.004497982,0.0011455724,0.0012051715,0.0028471437,0.0007105709],"domain_scores_gemma":[0.973882,0.011058369,0.0030464053,0.0053889044,0.0063122953,0.00031202997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01030579,0.0015787204,0.0013912295,0.013275005,0.0008483026,0.0023204929,0.0012305921,0.00067016756,0.026243716],"category_scores_gemma":[0.052682396,0.00046748866,0.0025970084,0.027280387,0.0005507552,0.0027474978,0.0023636792,0.0025308777,0.0063847774],"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":[0.0009003986,0.001199645,0.20198204,0.0015434687,0.0029164846,0.00090607686,0.0019481746,0.02078761,0.0026808,0.14405362,0.15339784,0.4676839],"study_design_scores_gemma":[0.00040266704,0.001485482,0.45214075,0.0009969964,0.0010988968,0.0011168232,0.0043159407,0.016983097,0.009445325,0.0673714,0.44429934,0.00034327887],"about_ca_topic_score_codex":0.0054327245,"about_ca_topic_score_gemma":0.0041254,"teacher_disagreement_score":0.026243716,"about_ca_system_score_codex":0.0009894129,"about_ca_system_score_gemma":0.0013383771,"threshold_uncertainty_score":0.087794006},"labels":[],"label_agreement":null},{"id":"W2126594797","doi":"10.5539/ass.v8n15p211","title":"Measuring of Technological Capabilities in Technology Transfer (TT) Projects","year":2012,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Tun Hussein Onn Malaysia","keywords":"Productivity; Business; Profitability index; Knowledge management; Quality (philosophy); Product (mathematics); Human resources; Technological change; Process management; Marketing; Computer science; Management; Economics","score_opus":0.055619926675765576,"score_gpt":0.22740665097414198,"score_spread":0.1717867242983764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126594797","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":[0.9912533,0.00010328971,0.0015211272,0.00007525194,0.0000051831316,0.00024024326,0.0001560491,0.0000067960696,0.0066387537],"genre_scores_gemma":[0.99463403,0.00017816917,0.0037750946,0.000012461631,0.0000032652651,0.00028655794,0.00017499203,0.0000018739078,0.0009335993],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9938945,0.00255676,0.0007231711,0.0002286974,0.0020311605,0.0005656481],"domain_scores_gemma":[0.97918624,0.00670369,0.007288677,0.0008316325,0.0037953826,0.0021944235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052268133,0.00035961048,0.00023621036,0.003798102,0.0007897865,0.001964825,0.0005182758,0.00056700566,0.0018395948],"category_scores_gemma":[0.016371803,0.0002354903,0.00034436976,0.0032255289,0.0008904188,0.0017969034,0.0034054564,0.0007429478,0.00027909462],"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":[0.0001822171,0.00080636004,0.8123207,0.0010165677,0.00009459693,0.00097225053,0.04336813,0.0028133246,0.005249367,0.0038348003,0.0011035717,0.12823808],"study_design_scores_gemma":[0.000010589287,0.0007901356,0.9328458,0.00037867756,0.00003328524,0.00044382314,0.052793663,0.001992568,0.0027807124,0.0013733307,0.006496764,0.0000606199],"about_ca_topic_score_codex":0.0009892847,"about_ca_topic_score_gemma":0.0015374508,"teacher_disagreement_score":0.0052268133,"about_ca_system_score_codex":0.0011645317,"about_ca_system_score_gemma":0.0016996646,"threshold_uncertainty_score":0.02764231},"labels":[],"label_agreement":null},{"id":"W2126786169","doi":"10.1017/s1365100510000210","title":"THE EFFECT OF INFORMATION TECHNOLOGY AND HUMAN CAPITAL ON ECONOMIC GROWTH","year":2010,"lang":"en","type":"article","venue":"Macroeconomic Dynamics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Information and Communications Technology; Human capital; Complementarity (molecular biology); Economics; Sample (material); Developing country; Capital deepening; Physical capital; Labour economics; Econometrics; Financial capital; Economic growth; Capital formation; Computer science","score_opus":0.0027872207482296622,"score_gpt":0.18255398016114,"score_spread":0.17976675941291034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126786169","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":[0.97850525,0.0010712901,0.0019854337,0.0009223747,0.00001957023,0.000017567318,0.00052495446,0.000021509873,0.01693207],"genre_scores_gemma":[0.9984352,0.00041880546,0.00018606796,0.000031995274,0.000018163459,0.0000060605025,0.00015062136,0.0000021927215,0.0007507598],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990336,0.00031508028,0.000054689288,0.00010575065,0.00019848134,0.00029241553],"domain_scores_gemma":[0.9857405,0.008853875,0.0033189908,0.0005233423,0.00055187754,0.0010114993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011022073,0.000324533,0.00028510147,0.0015483674,0.00038653976,0.0018762104,0.00018382208,0.00046379684,0.0038106146],"category_scores_gemma":[0.009327384,0.000120660334,0.00030960413,0.0031825018,0.0013130365,0.0014636952,0.0012849879,0.00074997154,0.00041731418],"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":[0.00035954345,0.00022280408,0.9055606,0.00010919102,0.00035758343,0.00059893035,0.0005546135,0.030299736,0.0009771374,0.017063178,0.00081373693,0.043082926],"study_design_scores_gemma":[0.000023157958,0.00012662537,0.9680185,0.00006190049,0.000085099935,0.00023533603,0.00054280966,0.009856334,0.00090619916,0.0163863,0.0037320734,0.000025708314],"about_ca_topic_score_codex":0.0039120317,"about_ca_topic_score_gemma":0.003835782,"teacher_disagreement_score":0.0039120317,"about_ca_system_score_codex":0.00079670595,"about_ca_system_score_gemma":0.0006585455,"threshold_uncertainty_score":0.012747765},"labels":[],"label_agreement":null},{"id":"W2127307297","doi":"10.1111/j.1540-5982.2009.01518.x","title":"Development‐related biases in factor productivities and the HOV model of trade","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Productivity; Econometrics; Factor (programming language); Total factor productivity; Macroeconomics; Computer science","score_opus":0.17661352379435952,"score_gpt":0.17396256715539596,"score_spread":0.0026509566389635586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127307297","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":[0.79001105,0.0015440014,0.18848436,0.002076751,0.00008132219,0.00008864408,0.0007225111,0.0002625005,0.016728885],"genre_scores_gemma":[0.9933148,0.00025281304,0.0043703928,0.00008578265,0.000026826925,0.000022101347,0.00017056485,0.0000252,0.001731463],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998116,0.0008727247,0.00008734428,0.0003904933,0.0002409878,0.00029250266],"domain_scores_gemma":[0.9839146,0.00911922,0.002592817,0.0032954335,0.00081578747,0.00026206882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008342802,0.00044885182,0.0007414988,0.0013948227,0.00045332074,0.002087745,0.0011223097,0.0007130822,0.0027954956],"category_scores_gemma":[0.026441738,0.00043803302,0.00070903834,0.0018086608,0.0021380843,0.0022478139,0.0014216149,0.0011664819,0.0005018813],"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":[0.00039340806,0.00009862135,0.26356083,0.0001622013,0.00038544656,0.00042557277,0.0012149359,0.2005756,0.0014413996,0.46781594,0.0028956449,0.061030462],"study_design_scores_gemma":[0.000054007836,0.00008761547,0.061127182,0.00005452629,0.000059524587,0.00038296066,0.0004536761,0.30173692,0.0011179957,0.6297691,0.0050930544,0.000063483116],"about_ca_topic_score_codex":0.01351046,"about_ca_topic_score_gemma":0.0066342494,"teacher_disagreement_score":0.01351046,"about_ca_system_score_codex":0.0016683683,"about_ca_system_score_gemma":0.0009616352,"threshold_uncertainty_score":0.044121504},"labels":[],"label_agreement":null},{"id":"W2127410264","doi":"","title":"On the Sensitivity of Aggregate Productivity Growth Rates to Noisy Measurement","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Productivity; Econometrics; Aggregate (composite); Sensitivity (control systems); Observational error; Measure (data warehouse); Statistics; Variance (accounting); Point (geometry); Growth rate; Productivity model; Mathematics; Economics; Computer science; Total factor productivity; Engineering; Macroeconomics","score_opus":0.08013494809476786,"score_gpt":0.2884838659665183,"score_spread":0.20834891787175047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127410264","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":[0.3950173,0.009068176,0.53666747,0.022561822,0.00064483914,0.00019208307,0.0017935967,0.0011837186,0.032871008],"genre_scores_gemma":[0.98468405,0.0023365084,0.009490488,0.00092733593,0.00028873456,0.000070027134,0.00037976977,0.00014684205,0.0016762941],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9849416,0.009219919,0.00052841124,0.0023828626,0.0020195371,0.00090764486],"domain_scores_gemma":[0.7124174,0.24443628,0.020294959,0.016962642,0.005083053,0.00080568396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02415752,0.0013026448,0.0019569779,0.0020795718,0.000999785,0.0056524635,0.0015833804,0.0034700425,0.0020693333],"category_scores_gemma":[0.24777386,0.0012870516,0.001496406,0.0027315123,0.005598902,0.005829613,0.004507111,0.004667734,0.00050799525],"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":[0.0004999604,0.00012320289,0.04084581,0.0004865511,0.0006898989,0.0010673584,0.0012979107,0.601742,0.0027393373,0.30045122,0.0058125183,0.04424415],"study_design_scores_gemma":[0.0000864114,0.00012158216,0.02168752,0.00021335484,0.00018246389,0.00054588687,0.00034038388,0.44008464,0.002139189,0.5320232,0.0023686097,0.00020677346],"about_ca_topic_score_codex":0.0074523753,"about_ca_topic_score_gemma":0.0017976656,"teacher_disagreement_score":0.02415752,"about_ca_system_score_codex":0.0026333942,"about_ca_system_score_gemma":0.0009310295,"threshold_uncertainty_score":0.12775874},"labels":[],"label_agreement":null},{"id":"W2127809053","doi":"10.1007/s11115-008-0050-y","title":"Using Economic Freedom Indexes as Policy Indicators: An Intercontinental Example","year":2008,"lang":"en","type":"article","venue":"Public Organization Review","topic":"Economic Growth and Productivity","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":"York University; Simon Fraser University","funders":"","keywords":"Ethos; Public finance; Economic freedom; Politics; Economics; Institutional economics; Control (management); Political science; Public economics; Political economy; Macroeconomics; Law; Market economy","score_opus":0.07603642588997009,"score_gpt":0.26311099658350645,"score_spread":0.18707457069353636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127809053","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":[0.39508858,0.09355455,0.07443647,0.03714022,0.0034881306,0.00050520303,0.0024105946,0.00026380812,0.3931124],"genre_scores_gemma":[0.914294,0.042586062,0.029111445,0.0013170686,0.0007418681,0.00029042677,0.0007203655,0.00007292056,0.010865723],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9967319,0.002234033,0.00009676145,0.0001245564,0.00065676786,0.00015614904],"domain_scores_gemma":[0.9903723,0.0056247963,0.00087751105,0.00053972926,0.002401935,0.00018369824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071736784,0.00052489946,0.0005224999,0.0045576408,0.001229222,0.0033386184,0.0006365988,0.0011099586,0.001625118],"category_scores_gemma":[0.015718058,0.00016362533,0.00066196074,0.011360574,0.0012321308,0.0023921975,0.0017510243,0.0016057878,0.00021416978],"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":[0.0005412392,0.00085266953,0.08946455,0.0010326079,0.00044969952,0.00095718296,0.002064412,0.022056447,0.000933578,0.45081195,0.039590783,0.39124492],"study_design_scores_gemma":[0.00045096097,0.0007491282,0.28336695,0.0028203577,0.00081339193,0.0004646003,0.004836087,0.041074164,0.0029646286,0.19447826,0.46775308,0.00022836421],"about_ca_topic_score_codex":0.018264923,"about_ca_topic_score_gemma":0.028072199,"teacher_disagreement_score":0.018264923,"about_ca_system_score_codex":0.0017031376,"about_ca_system_score_gemma":0.002199998,"threshold_uncertainty_score":0.037938476},"labels":[],"label_agreement":null},{"id":"W2128427404","doi":"10.1111/j.0008-4085.2005.00325.x","title":"What drives the cross‐country growth and inequality correlation?","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inequality; Output elasticity; Economics; Redistribution (election); Human capital; Positive correlation; Distribution (mathematics); Income distribution; Economic inequality; Negative correlation; Econometrics; Correlation; Developing country; Labour economics; Demographic economics; Microeconomics; Production (economics); Mathematics; Economic growth","score_opus":0.08972734406624304,"score_gpt":0.19096033003042368,"score_spread":0.10123298596418064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128427404","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":[0.9736425,0.00069900905,0.006632323,0.0027581006,0.000045388562,0.000023525054,0.0006249316,0.00006417555,0.015510117],"genre_scores_gemma":[0.99848986,0.00016773398,0.0003064103,0.000116997624,0.000018372857,0.0000075931202,0.00012887621,0.000007149899,0.00075696775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992613,0.00024669713,0.000031027634,0.00016032664,0.0000899507,0.00021072326],"domain_scores_gemma":[0.99406874,0.0025393886,0.0018390332,0.00059996534,0.00058811775,0.000364706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016332857,0.00019447555,0.0005938502,0.0009838678,0.00060684705,0.00229335,0.0003300042,0.0006336298,0.00450131],"category_scores_gemma":[0.008738331,0.0002022777,0.00035378852,0.0016146194,0.0011384349,0.0014434686,0.0014454653,0.00082023686,0.0004884732],"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":[0.00025778014,0.00015114564,0.83160454,0.0001240385,0.0002984717,0.000830481,0.0006818228,0.020815946,0.0018797548,0.09977538,0.0051100957,0.038470432],"study_design_scores_gemma":[0.00006356566,0.000098332115,0.8274208,0.00016750162,0.00019456637,0.0006594366,0.001967345,0.068054006,0.002457975,0.09015986,0.008692685,0.00006389392],"about_ca_topic_score_codex":0.007090958,"about_ca_topic_score_gemma":0.006252662,"teacher_disagreement_score":0.007090958,"about_ca_system_score_codex":0.001015613,"about_ca_system_score_gemma":0.000632286,"threshold_uncertainty_score":0.015058398},"labels":[],"label_agreement":null},{"id":"W2128628940","doi":"10.2139/ssrn.1265830","title":"Foreign Direct Investment and Inequality in Productivity across Countries","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","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":"Toronto Metropolitan University","funders":"","keywords":"Foreign direct investment; Inequality; Economics; Productivity; International economics; Economic inequality; International trade; Development economics; Macroeconomics","score_opus":0.02658464414983936,"score_gpt":0.22836347100465293,"score_spread":0.20177882685481358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128628940","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":[0.99288625,0.0012610358,0.00032982076,0.0007896318,0.000032180447,0.0000024478895,0.00046694092,0.0000083996,0.0042231977],"genre_scores_gemma":[0.99921453,0.00018974635,0.000026295265,0.000023426088,0.000021102942,0.00000149693,0.00023976262,0.0000018151901,0.00028188096],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988078,0.00031316336,0.000075651864,0.00017313403,0.00011153071,0.00051879237],"domain_scores_gemma":[0.99163544,0.0035078006,0.0026021511,0.00048786937,0.00065280247,0.0011139488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017477542,0.00036403403,0.0006627979,0.0022999856,0.00081177463,0.0031578976,0.00038197424,0.0007571468,0.0042083617],"category_scores_gemma":[0.006790376,0.00023322632,0.000536464,0.004430937,0.0019082596,0.0018290987,0.0026074504,0.0014046597,0.0005138078],"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":[0.00042331772,0.000077966324,0.97251725,0.00003710862,0.00042111633,0.00045341766,0.0012907727,0.004146188,0.00013902102,0.013264974,0.0011496783,0.006079133],"study_design_scores_gemma":[0.000046244462,0.00009412014,0.9801277,0.00011113684,0.00018298953,0.0002449437,0.004090039,0.003008892,0.000214842,0.009510881,0.0023425901,0.000025593086],"about_ca_topic_score_codex":0.020438075,"about_ca_topic_score_gemma":0.014923324,"teacher_disagreement_score":0.020438075,"about_ca_system_score_codex":0.000919629,"about_ca_system_score_gemma":0.0006507272,"threshold_uncertainty_score":0.04063821},"labels":[],"label_agreement":null},{"id":"W2129159959","doi":"10.5539/ijef.v4n6p125","title":"Global Competitiveness and Economic Growth: Empirical Verification for African Countries","year":2012,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Sample (material); Work (physics); Panel data; Growth theory; Endogenous growth theory; Development economics; International trade; Economic growth; Econometrics; Classical economics; Human capital","score_opus":0.03398552386776187,"score_gpt":0.25961787117068247,"score_spread":0.2256323473029206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129159959","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":[0.9926097,0.0014455632,0.00078632106,0.00034293038,0.000016562655,0.000020287649,0.0007600164,0.000011309775,0.0040072934],"genre_scores_gemma":[0.9986218,0.000392185,0.00019765299,0.000023759234,0.000020448522,0.000013035347,0.00053149916,0.0000037629582,0.00019579341],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898297,0.00042808676,0.000059565802,0.00016513205,0.00011334433,0.00025089693],"domain_scores_gemma":[0.989632,0.0057372316,0.0025897229,0.00065170845,0.00080355053,0.00058578304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026567488,0.00044349124,0.00057088706,0.0021520108,0.0007919472,0.0012523332,0.00028129638,0.0003953258,0.005837041],"category_scores_gemma":[0.0084473165,0.00015381622,0.00066602055,0.0033713772,0.0008385146,0.0013514927,0.0016594478,0.0007766785,0.00047291958],"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":[0.000301008,0.00021212011,0.9635101,0.00018980245,0.0003347397,0.0007060913,0.0011383506,0.0032398049,0.0003687788,0.006434893,0.0014614054,0.022102864],"study_design_scores_gemma":[0.000055526558,0.00019509441,0.97558165,0.00017343636,0.00033309992,0.00033033223,0.007348207,0.006674011,0.0007955538,0.0021484038,0.00634161,0.000023124738],"about_ca_topic_score_codex":0.010804751,"about_ca_topic_score_gemma":0.005206485,"teacher_disagreement_score":0.010804751,"about_ca_system_score_codex":0.0003469346,"about_ca_system_score_gemma":0.00089995307,"threshold_uncertainty_score":0.02148372},"labels":[],"label_agreement":null},{"id":"W2129273579","doi":"","title":"On some issues concerning definition of an economic recession","year":2012,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Economic Growth and Productivity","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":"Recession; Global recession; Economics; Per capita; Quarter (Canadian coin); Population; Macroeconomics; Geography","score_opus":0.0476120125754912,"score_gpt":0.2223019749582466,"score_spread":0.17468996238275541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129273579","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01062107,0.097406894,0.17817107,0.5022777,0.026037363,0.0002828591,0.0007465833,0.00023130189,0.18422526],"genre_scores_gemma":[0.4624198,0.06510001,0.17304112,0.20271398,0.057707652,0.0024424586,0.001384446,0.00074970565,0.034440827],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98521996,0.009154452,0.0013584867,0.0014234028,0.0023645163,0.00047909704],"domain_scores_gemma":[0.980646,0.014361431,0.0012670631,0.0006975686,0.0027933696,0.00023445477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022233974,0.0011860325,0.001226861,0.004640599,0.005678762,0.0073343716,0.00416012,0.0060992413,0.0056124255],"category_scores_gemma":[0.036614213,0.00045486062,0.0014022646,0.0061514494,0.018964108,0.016060041,0.0041188975,0.018678196,0.0017070628],"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":[0.000008662573,0.000009258341,0.00012116744,0.00010835794,0.000005452538,0.00005760019,0.0010274418,0.00017365543,0.000044824137,0.9780723,0.015022063,0.0053492826],"study_design_scores_gemma":[0.000013883319,0.000028837941,0.0009208988,0.0007699463,0.00001209977,0.00035956048,0.0020295864,0.0012722429,0.00020234943,0.7926727,0.20166379,0.000054093733],"about_ca_topic_score_codex":0.0038339437,"about_ca_topic_score_gemma":0.0025530548,"teacher_disagreement_score":0.022233974,"about_ca_system_score_codex":0.004545423,"about_ca_system_score_gemma":0.002226071,"threshold_uncertainty_score":0.1175859},"labels":[],"label_agreement":null},{"id":"W2129330007","doi":"10.3968/j.css.1923669720080402.010","title":"Constructivism and Evolutionism: The Tactic of Government’s Behavior in the Institutional Transition","year":2009,"lang":"en","type":"article","venue":"Canadian social science","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Evolutionism; Humanities; Political science; Constructivism (international relations); Government (linguistics); Rationalism; Philosophy; Sociology; Epistemology; Law","score_opus":0.01875021656536926,"score_gpt":0.2016727628884688,"score_spread":0.18292254632309954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129330007","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":[0.55365694,0.0017612225,0.19814788,0.01584309,0.00018436775,0.00016205727,0.00009074202,0.00013829579,0.23001546],"genre_scores_gemma":[0.99360126,0.00014425257,0.0047523794,0.000113177215,0.000014936209,0.000029097486,0.000013118667,0.000015955742,0.0013158376],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9925505,0.0052347067,0.00022391668,0.0007340699,0.0007816005,0.00047518444],"domain_scores_gemma":[0.9931606,0.0035651356,0.0010924353,0.0011158414,0.00072762475,0.00033836323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007069744,0.00024975467,0.00028046168,0.0018387416,0.0020341703,0.004520782,0.0007562379,0.0012594212,0.0018292329],"category_scores_gemma":[0.008664211,0.00023115356,0.0006484641,0.0014833128,0.025041852,0.0064286725,0.0026867867,0.0021307778,0.00012823359],"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":[0.000031462572,0.000023754677,0.005992767,0.00005485145,0.000026752077,0.00008735696,0.010764048,0.0019155039,0.0005902947,0.9699645,0.00027856743,0.010270227],"study_design_scores_gemma":[0.000021329442,0.000076642056,0.017189087,0.00013073433,0.000032844095,0.00011794621,0.0108484635,0.0087744985,0.0011256228,0.9456868,0.015945882,0.000050148843],"about_ca_topic_score_codex":0.0037767391,"about_ca_topic_score_gemma":0.0025256553,"teacher_disagreement_score":0.0071155145,"about_ca_system_score_codex":0.0071155145,"about_ca_system_score_gemma":0.0029001187,"threshold_uncertainty_score":0.05162692},"labels":[],"label_agreement":null},{"id":"W2130722133","doi":"10.1080/09535310701572040","title":"International Comparisons of Industry Output, Inputs and Productivity Levels: Methodology and New Results","year":2007,"lang":"en","type":"article","venue":"Economic Systems Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Industry Canada","keywords":"Comparability; Productivity; International comparisons; Economics; Production (economics); Econometrics; Goods and services; Estimation; Capital (architecture); Unit (ring theory); Industrial organization; Macroeconomics; Economy; Mathematics; Economic growth","score_opus":0.48158046313610586,"score_gpt":0.404388255235252,"score_spread":0.07719220790085385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130722133","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9340626,0.0031253223,0.026537778,0.00015114929,0.000052608648,0.00009956232,0.0045095654,0.00006630775,0.03139515],"genre_scores_gemma":[0.983177,0.0008147189,0.010991392,0.000029633826,0.000041057985,0.000120257486,0.003967769,0.000018882592,0.00083925837],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973463,0.0014402787,0.00023643918,0.00043790712,0.00039374243,0.00014525228],"domain_scores_gemma":[0.99373686,0.0032521547,0.0011715273,0.0008386033,0.00086528657,0.00013561815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028807754,0.00032903254,0.00058325345,0.005240139,0.00028903352,0.001521581,0.0004421289,0.00022809244,0.0032412552],"category_scores_gemma":[0.0077079204,0.000121857425,0.00056258065,0.00977352,0.00052657694,0.0008467468,0.0012089452,0.0004567855,0.00035409254],"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":[0.00080824597,0.00025717056,0.73630816,0.00094866625,0.0020160847,0.00040404548,0.0019051871,0.020364579,0.002895413,0.03741621,0.002673285,0.194003],"study_design_scores_gemma":[0.000070667375,0.00042716716,0.9515541,0.00025838474,0.0005472604,0.0003391484,0.0025881303,0.007321876,0.0053315754,0.016142482,0.015346029,0.000073177805],"about_ca_topic_score_codex":0.0018287837,"about_ca_topic_score_gemma":0.0013206878,"teacher_disagreement_score":0.005240139,"about_ca_system_score_codex":0.00047132355,"about_ca_system_score_gemma":0.00026138165,"threshold_uncertainty_score":0.015235186},"labels":[],"label_agreement":null},{"id":"W2131343089","doi":"10.1093/jeg/lbs035","title":"From Russia with love: the impact of relocated firms on incumbent survival","year":2012,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto; Harvard University","keywords":"Competition (biology); Expropriation; Heuristics; Economic geography; Industrial organization; Business; Economics; Market economy; Economic system","score_opus":0.02179327236211511,"score_gpt":0.232297192992106,"score_spread":0.21050392062999088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131343089","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":[0.99848443,0.00005383378,0.000049303795,0.00008825848,0.000004532072,0.0000051062234,0.00002499386,0.0000029349235,0.0012866934],"genre_scores_gemma":[0.99932873,0.000027811393,0.000024078121,0.000040848885,0.0000039728047,0.0000046582268,0.000030924824,0.0000016085863,0.0005374159],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991079,0.00046503052,0.000028363662,0.00011865976,0.00006181844,0.00021820604],"domain_scores_gemma":[0.9925559,0.0029152408,0.0017888423,0.0006024586,0.0002230526,0.0019145291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012294836,0.00016498362,0.00041547514,0.00030136647,0.0008834448,0.0016072455,0.00042924404,0.00068091403,0.007728694],"category_scores_gemma":[0.0068804994,0.00011938277,0.00020843564,0.00024238438,0.0010256174,0.0007275687,0.0015979138,0.0008065692,0.00070015976],"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":[0.0109589975,0.0046352874,0.88361764,0.0002578911,0.00036972493,0.0025482925,0.007937926,0.0067558326,0.01304113,0.005498003,0.0035410302,0.060838163],"study_design_scores_gemma":[0.00031043164,0.0051223207,0.9627995,0.000060871305,0.00012423372,0.0004480948,0.018964622,0.0032743232,0.002225841,0.0025316682,0.0040788376,0.000059258953],"about_ca_topic_score_codex":0.0033078417,"about_ca_topic_score_gemma":0.0070846453,"teacher_disagreement_score":0.007728694,"about_ca_system_score_codex":0.0005450306,"about_ca_system_score_gemma":0.0004548719,"threshold_uncertainty_score":0.025855064},"labels":[],"label_agreement":null},{"id":"W2132000227","doi":"10.1111/j.1540-5982.2011.01638.x","title":"Estimation of R&amp;D depreciation rates: a suggested methodology and preliminary application","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia; Statistics Canada","funders":"","keywords":"Economics; Welfare economics; Humanities; Philosophy","score_opus":0.29348605292356217,"score_gpt":0.21754280681913615,"score_spread":0.07594324610442602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132000227","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":[0.013250239,0.00040650927,0.9827877,0.00047490405,0.00005201889,0.00030385747,0.0007839046,0.00038441506,0.0015564127],"genre_scores_gemma":[0.1465962,0.0011332422,0.84646,0.00013838193,0.00010477794,0.00097443006,0.001286198,0.00012509817,0.003181577],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99643743,0.0023709908,0.00022642294,0.00041075924,0.00045520958,0.0000991943],"domain_scores_gemma":[0.9879969,0.007477108,0.001189539,0.0011962322,0.0020297496,0.000110454486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007029234,0.0012181388,0.0010419069,0.0036383404,0.00043951249,0.001662754,0.0021118221,0.0015872151,0.005105374],"category_scores_gemma":[0.036420327,0.0008341014,0.0010031521,0.0047364137,0.0004753182,0.0013625005,0.001089689,0.0011798032,0.0019382981],"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":[0.00024105972,0.0008481007,0.059444007,0.0008980361,0.0003321351,0.00060824514,0.0004268174,0.32188025,0.010988572,0.10012349,0.012670289,0.49153897],"study_design_scores_gemma":[0.00016623683,0.00023219647,0.030223915,0.00023423955,0.00006843381,0.0003052005,0.0001735337,0.8953698,0.009796996,0.042975195,0.020268371,0.00018591544],"about_ca_topic_score_codex":0.013185443,"about_ca_topic_score_gemma":0.007868494,"teacher_disagreement_score":0.013185443,"about_ca_system_score_codex":0.0011786843,"about_ca_system_score_gemma":0.0015413294,"threshold_uncertainty_score":0.037174582},"labels":[],"label_agreement":null},{"id":"W2132461001","doi":"","title":"Accounting for Growth from A to Z: Review Article on Information Technology and the American Growth Resurgence","year":2006,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Productivity; Growth accounting; Capital (architecture); Capital good; Capital deepening; National accounts; Macroeconomics; Accounting; Capital formation; Classical economics; Human capital; Total factor productivity; Economy; Financial capital; Market economy; Goods and services; History","score_opus":0.013167044492126101,"score_gpt":0.22848018393061187,"score_spread":0.21531313943848576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132461001","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014914188,0.97999007,0.00037804808,0.009929972,0.0070510367,0.0000032099274,0.000026835132,0.000013056777,0.0024587146],"genre_scores_gemma":[0.001756426,0.98196155,0.00032857992,0.002911054,0.010128897,0.0000074671584,0.00005044995,0.000014901262,0.002840603],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99901736,0.00018573929,0.00007708447,0.00013205904,0.00052726705,0.00006060917],"domain_scores_gemma":[0.99442357,0.002640481,0.0005057205,0.000102869584,0.0021403406,0.00018704461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013356482,0.0009853195,0.0012316745,0.003971519,0.00056969037,0.0029432003,0.0009759682,0.0027592988,0.0031437308],"category_scores_gemma":[0.005290051,0.0004345356,0.00053138984,0.011483629,0.0016920859,0.0053247623,0.0007731027,0.0032824215,0.0025804045],"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":[0.000026081143,0.000037075915,0.00053395715,0.0020960874,0.000051443403,0.00007992833,0.00011742632,0.0006170787,0.00011501329,0.012992531,0.7113566,0.2719767],"study_design_scores_gemma":[0.000007657392,0.000028977462,0.0021404433,0.0032345199,0.000048594524,0.00025731718,0.0001319969,0.00028548905,0.0001171685,0.006462223,0.9872584,0.000027166774],"about_ca_topic_score_codex":0.007235866,"about_ca_topic_score_gemma":0.008290442,"teacher_disagreement_score":0.007235866,"about_ca_system_score_codex":0.0021556674,"about_ca_system_score_gemma":0.00307347,"threshold_uncertainty_score":0.015640497},"labels":[],"label_agreement":null},{"id":"W2133497097","doi":"10.1111/ecin.12216","title":"THE QUANTITATIVE IMPORTANCE OF OPENNESS IN DEVELOPMENT","year":2015,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Economics; Industrialisation; Capital good; Openness to experience; Capital (architecture); Prosperity; Open economy; Dual economy; Pace; Capital deepening; Investment (military); Technological change; Capital formation; Market economy; Economic system; Monetary economics; Macroeconomics; Human capital; Exchange rate; Financial capital; Economic growth; Goods and services","score_opus":0.14935846445690906,"score_gpt":0.2880759449658566,"score_spread":0.13871748050894753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133497097","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":[0.50465786,0.010826722,0.16524239,0.014919465,0.00039187717,0.00009248323,0.00095969863,0.00037833292,0.30253115],"genre_scores_gemma":[0.99483633,0.0011822622,0.001606278,0.000072870156,0.00008101524,0.000020745549,0.00004488887,0.000014271143,0.0021412792],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985671,0.00050357333,0.00007261148,0.00024397868,0.00031956058,0.00029303815],"domain_scores_gemma":[0.990391,0.0053272326,0.0019127104,0.00092791783,0.0006238556,0.0008171979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019209946,0.00029075623,0.0004084716,0.0018475569,0.00087130757,0.0034604871,0.00042185467,0.000717326,0.0039160512],"category_scores_gemma":[0.01208546,0.00023318453,0.0004540767,0.0021075045,0.0062409304,0.00574827,0.0043543703,0.0012509169,0.00026219082],"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":[0.00006293224,0.00002275354,0.011138706,0.00016072471,0.000051392315,0.00017528406,0.00037651972,0.014722875,0.00074911315,0.95201296,0.00082487054,0.019701837],"study_design_scores_gemma":[0.000013081345,0.00002986222,0.008802428,0.000053533455,0.00001644914,0.00021702751,0.00023076365,0.0044294284,0.0002924725,0.97705346,0.008845013,0.000016568352],"about_ca_topic_score_codex":0.0011675757,"about_ca_topic_score_gemma":0.00054351526,"teacher_disagreement_score":0.0039160512,"about_ca_system_score_codex":0.0019023718,"about_ca_system_score_gemma":0.0006842529,"threshold_uncertainty_score":0.013802707},"labels":[],"label_agreement":null},{"id":"W2133581250","doi":"10.5539/ijef.v4n10p54","title":"Sources of Economic Growth in 31 Sub-Sahara African Countries for the Period 1975–2008: A Growth Accounting Approach","year":2012,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Growth accounting; Demographic economics; Capital (architecture); Productivity; Total factor productivity; Factor shares; Human capital; Capital formation; Production (economics); Geography; Macroeconomics; Economic growth; Financial capital","score_opus":0.022565901367320226,"score_gpt":0.21317999804659238,"score_spread":0.19061409667927215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133581250","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":[0.991581,0.00043072144,0.0009027327,0.00011315302,0.000008341873,0.000019598177,0.005296547,0.000026413712,0.0016213864],"genre_scores_gemma":[0.9891139,0.000726343,0.0011647986,0.000012373883,0.000016314596,0.00003623848,0.008330822,0.0000070223164,0.0005921035],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997528,0.000043666958,0.000028014685,0.000043354506,0.00007632733,0.000055882112],"domain_scores_gemma":[0.99874985,0.00026834226,0.0005889722,0.00006363198,0.0002643395,0.00006486158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000529033,0.00036742803,0.0002609051,0.0051664026,0.00043350278,0.0008820237,0.0002955897,0.00023307763,0.0008879314],"category_scores_gemma":[0.0021670938,0.00020885741,0.00049688417,0.0069617783,0.0002163311,0.00083785766,0.00064317905,0.00047840146,0.00022671455],"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":[0.00007664018,0.000035630972,0.95938396,0.00007196329,0.00017478601,0.00038027175,0.00094218255,0.012067121,0.0003743239,0.0024268948,0.0018861179,0.022180157],"study_design_scores_gemma":[0.0000071771624,0.00003439815,0.9644827,0.00004337767,0.00009159961,0.00020188802,0.0013577376,0.02612566,0.0006614964,0.0007697075,0.0061985375,0.000025729432],"about_ca_topic_score_codex":0.058803532,"about_ca_topic_score_gemma":0.048471455,"teacher_disagreement_score":0.058803532,"about_ca_system_score_codex":0.0012052354,"about_ca_system_score_gemma":0.0009906848,"threshold_uncertainty_score":0.1169225},"labels":[],"label_agreement":null},{"id":"W2133800208","doi":"10.1287/isre.2015.0570","title":"Research Commentary—Information Technology Substitution Revisited","year":2015,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Elasticity of substitution; Substitution (logic); Economics; Econometrics; Capital (architecture); Microeconomics; Substitution effect; Production (economics); Elasticity (physics); Computer science","score_opus":0.1860781983792369,"score_gpt":0.34738148876232666,"score_spread":0.16130329038308977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133800208","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":[0.000073811374,0.003797858,0.00017434411,0.9331827,0.06059176,0.000021587124,0.00020586902,0.000024509007,0.0019275639],"genre_scores_gemma":[0.0019196367,0.0031432752,0.0002597167,0.9116037,0.080595,0.000066767265,0.00005409686,0.000048346425,0.0023094846],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9576804,0.015877966,0.0041737566,0.006812278,0.013345199,0.0021103455],"domain_scores_gemma":[0.74807316,0.1922369,0.0071537998,0.006580171,0.042174276,0.0037817801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031835143,0.0016099993,0.0028755644,0.005702751,0.0059434325,0.009393566,0.012351074,0.053735465,0.024574056],"category_scores_gemma":[0.21973485,0.0014890119,0.0037121414,0.008187798,0.01621185,0.01557621,0.004704781,0.056517363,0.013299099],"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":[0.000017875338,0.0000059295958,0.00006581042,0.00030633347,0.000019795632,0.000097332944,0.00021781045,0.00003806386,0.000023416047,0.010357828,0.986193,0.002656637],"study_design_scores_gemma":[0.000055353106,0.000018475132,0.0003059775,0.0018235467,0.000041090905,0.00022864918,0.0006777204,0.00018829365,0.0001649937,0.015000916,0.98143965,0.00005534276],"about_ca_topic_score_codex":0.034099247,"about_ca_topic_score_gemma":0.023675965,"teacher_disagreement_score":0.053735465,"about_ca_system_score_codex":0.015453994,"about_ca_system_score_gemma":0.018750325,"threshold_uncertainty_score":0.16836232},"labels":[],"label_agreement":null},{"id":"W2133920106","doi":"10.1016/j.jedc.2009.02.004","title":"A quantitative exploration of the Golden Age of European growth","year":2009,"lang":"en","type":"article","venue":"Journal of Economic Dynamics and Control","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Per capita; Economics; Marshall Plan; Per capita income; World War II; Development economics; Political science; Cold war; Demography; Sociology; Population; Politics; Law","score_opus":0.023700527809777498,"score_gpt":0.21351024200950278,"score_spread":0.18980971419972528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133920106","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":[0.6820687,0.014627312,0.15291628,0.014129351,0.0005553945,0.00004375767,0.0010977976,0.00025386346,0.1343075],"genre_scores_gemma":[0.99378455,0.0010488924,0.002419518,0.000085745414,0.00014683777,0.000012600521,0.000074682284,0.0000258647,0.002401335],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999464,0.00016530581,0.00003249308,0.00011938287,0.00010659356,0.000112177324],"domain_scores_gemma":[0.995999,0.0022818772,0.00055740186,0.00038896687,0.0003422119,0.00043060255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032077176,0.00032895067,0.00073478534,0.0018901485,0.00092760683,0.0041405084,0.0008257602,0.0014503386,0.007136681],"category_scores_gemma":[0.01657205,0.00026604478,0.00062900723,0.0013614058,0.0030057786,0.008131859,0.0021561238,0.0015098477,0.00021945397],"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":[0.000022107928,0.0000057313446,0.0012287761,0.000025378697,0.000010981773,0.000051063096,0.00017919014,0.0036036742,0.000120523735,0.9881308,0.0006682071,0.005953649],"study_design_scores_gemma":[0.000007012625,0.000014356992,0.0024148386,0.00005091161,0.000010130019,0.00008413982,0.00015428966,0.01777278,0.000115509916,0.9750744,0.004289404,0.000012164257],"about_ca_topic_score_codex":0.0017397278,"about_ca_topic_score_gemma":0.0009078585,"teacher_disagreement_score":0.007136681,"about_ca_system_score_codex":0.0013642476,"about_ca_system_score_gemma":0.0008606189,"threshold_uncertainty_score":0.023874521},"labels":[],"label_agreement":null},{"id":"W2134240883","doi":"10.1287/isre.1080.0186","title":"<b>Research Note</b>—Investments in Information Technology: Indirect Effects and Information Technology Intensity","year":2009,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"University of Calgary; Arizona State University; Ohio State University","keywords":"Productivity; Production (economics); Capital intensity; Industrial organization; Value (mathematics); Production function; Function (biology); Manufacturing sector; Capital (architecture); Economics; Manufacturing; Information technology; Measure (data warehouse); Business; Microeconomics; Econometrics; Marketing; Computer science; Labour economics; Statistics; Mathematics","score_opus":0.045874157115783985,"score_gpt":0.30074371761910385,"score_spread":0.2548695605033199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134240883","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":[0.38958922,0.026447657,0.048836436,0.11055947,0.0012554585,0.0003132528,0.010877866,0.00029174628,0.41182888],"genre_scores_gemma":[0.9516909,0.009674478,0.009570114,0.0073917913,0.0012283038,0.00012608562,0.0026382122,0.00009992389,0.017580323],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867463,0.0005149325,0.000104639024,0.00023231748,0.00036460278,0.00010881369],"domain_scores_gemma":[0.96066594,0.028105918,0.005711247,0.0012889827,0.0034877658,0.0007402499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017852893,0.00041634246,0.00043556475,0.0017501351,0.00056362245,0.0040418133,0.0007624221,0.00091809424,0.03880232],"category_scores_gemma":[0.011207585,0.00020871687,0.0009248812,0.0040193866,0.0017634655,0.0041358685,0.0012938362,0.0013272744,0.0028766298],"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":[0.0003749152,0.00044627668,0.45262355,0.0010349974,0.00080371747,0.00043641744,0.0010351572,0.0049693948,0.0021531205,0.3444173,0.059258375,0.13244678],"study_design_scores_gemma":[0.000086921835,0.00033369754,0.49210894,0.0016038002,0.0009915038,0.00095801265,0.0040156865,0.0072797392,0.008569551,0.31683773,0.16706285,0.00015160536],"about_ca_topic_score_codex":0.010305192,"about_ca_topic_score_gemma":0.011538908,"teacher_disagreement_score":0.03880232,"about_ca_system_score_codex":0.0015971905,"about_ca_system_score_gemma":0.0011289895,"threshold_uncertainty_score":0.1298067},"labels":[],"label_agreement":null},{"id":"W2135501413","doi":"10.5539/mas.v9n11p101","title":"The Economic Role of Petrochemical Industry in Iran","year":2015,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Petrochemical; Revenue; Inflation (cosmology); Gross domestic product; Exchange rate; Product (mathematics); Petroleum industry; Economics; Business; Monetary economics; Engineering; Waste management; Economic growth; Finance; Mathematics","score_opus":0.0403435177734598,"score_gpt":0.22182631930912924,"score_spread":0.18148280153566945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135501413","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":[0.98877674,0.00066981826,0.00015778875,0.0008569341,0.000010097501,0.000007413582,0.00031670195,0.0000088834795,0.009195586],"genre_scores_gemma":[0.99819154,0.0005885632,0.00010380696,0.000022220658,0.000009877759,0.0000014179922,0.00021189789,9.033667e-7,0.00086989725],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998599,0.0000151925915,0.0000063926454,0.000016769514,0.00006183005,0.00003976811],"domain_scores_gemma":[0.99967575,0.000058894468,0.00013898539,0.000007967293,0.0000813471,0.00003708955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019321262,0.00010632834,0.000097304975,0.0008150385,0.00024088711,0.000661379,0.00013462036,0.00018271088,0.001335332],"category_scores_gemma":[0.0006503093,0.00007167261,0.00019210584,0.0014742848,0.0002487373,0.000363352,0.00025725013,0.00032821577,0.0002473458],"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":[0.0000851934,0.00012701894,0.93231225,0.00010121117,0.000046681245,0.0013187062,0.0011704005,0.0047072526,0.0015634873,0.00954484,0.0050904527,0.04393258],"study_design_scores_gemma":[0.000006308045,0.000046218895,0.9791282,0.00002511493,0.000025257557,0.0003610273,0.002404058,0.004411626,0.0007295609,0.0012741679,0.011576895,0.000011536468],"about_ca_topic_score_codex":0.025186982,"about_ca_topic_score_gemma":0.023134481,"teacher_disagreement_score":0.025186982,"about_ca_system_score_codex":0.0010587798,"about_ca_system_score_gemma":0.0014140542,"threshold_uncertainty_score":0.050080776},"labels":[],"label_agreement":null},{"id":"W2136198642","doi":"10.1111/j.1468-2354.2008.00476.x","title":"WHY HAVE AGGREGATE SKILLED HOURS BECOME SO CYCLICAL SINCE THE MID‐1980s?*","year":2008,"lang":"en","type":"article","venue":"International Economic Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Stylized fact; Economics; Volatility (finance); Complementarity (molecular biology); Monetary economics; Aggregate demand; Labour economics; Econometrics; Macroeconomics; Monetary policy","score_opus":0.03889472824487551,"score_gpt":0.2594207523253318,"score_spread":0.2205260240804563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136198642","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":[0.9381166,0.015708406,0.0035323943,0.0151999425,0.00038352955,0.000019407042,0.00416751,0.00008972329,0.0227825],"genre_scores_gemma":[0.99235195,0.0038615142,0.0003113624,0.00078157673,0.00037368905,0.0000075640105,0.0008580614,0.000015515667,0.001438901],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982613,0.00001840873,0.000015480313,0.00005499318,0.000037836977,0.000047239242],"domain_scores_gemma":[0.99851984,0.00025477042,0.0006765462,0.00009637403,0.00033950232,0.00011291652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005429144,0.00013232772,0.00021561242,0.0009391365,0.00027427496,0.0013514445,0.00029192198,0.0004878699,0.0018787832],"category_scores_gemma":[0.0025471905,0.00012272806,0.00025916196,0.0020110453,0.00040920824,0.00074156915,0.00036026412,0.00054943125,0.00045581965],"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":[0.00028468823,0.00006933676,0.7805824,0.0004545894,0.00032671337,0.00075643754,0.002266984,0.005837277,0.00608661,0.025835896,0.022661885,0.15483716],"study_design_scores_gemma":[0.000005857262,0.00002513884,0.96657884,0.000079997946,0.000041122275,0.0001289377,0.00090224185,0.0015566187,0.00080668525,0.004546849,0.02531115,0.000016505692],"about_ca_topic_score_codex":0.023401195,"about_ca_topic_score_gemma":0.028392598,"teacher_disagreement_score":0.023401195,"about_ca_system_score_codex":0.0010054858,"about_ca_system_score_gemma":0.00037963182,"threshold_uncertainty_score":0.04653001},"labels":[],"label_agreement":null},{"id":"W2136373676","doi":"10.2139/ssrn.916547","title":"Big Business Stability and Economic Growth: Is What's Good for General Motors Good for America?","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":36,"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 Alberta","funders":"","keywords":"General motors; Business; Economics; Industrial organization","score_opus":0.01619606559306274,"score_gpt":0.20215791433336328,"score_spread":0.18596184874030053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136373676","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07481647,0.040599126,0.0008071187,0.85100824,0.0020652162,0.000009294305,0.0004648454,0.000056340592,0.030173324],"genre_scores_gemma":[0.91851,0.021791019,0.00038158413,0.043490168,0.0071068686,0.00001705646,0.00027025872,0.000046278827,0.008386726],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9991423,0.00029777997,0.000031425072,0.00012648059,0.00018893887,0.00021309848],"domain_scores_gemma":[0.9854537,0.0055469205,0.0034577071,0.00036859405,0.002324751,0.0028483202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020444987,0.00036466826,0.0006653053,0.0012489656,0.0021647967,0.007819965,0.00052049715,0.0033606598,0.012557011],"category_scores_gemma":[0.016593909,0.000160657,0.00035705045,0.0038764495,0.0045697065,0.010178297,0.0014925011,0.003425444,0.0011742047],"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":[0.00087735266,0.0002687959,0.21978946,0.00066782534,0.00036602147,0.00030927366,0.003690856,0.0013693649,0.00028534367,0.204885,0.39574537,0.17174534],"study_design_scores_gemma":[0.00017463946,0.0002163375,0.24866515,0.0018286573,0.00044329077,0.00021807168,0.02217471,0.001985274,0.00058995484,0.48077554,0.24274345,0.00018490445],"about_ca_topic_score_codex":0.032089602,"about_ca_topic_score_gemma":0.04344428,"teacher_disagreement_score":0.032089602,"about_ca_system_score_codex":0.003563572,"about_ca_system_score_gemma":0.003383682,"threshold_uncertainty_score":0.06380564},"labels":[],"label_agreement":null},{"id":"W2136403567","doi":"","title":"The Importance of Skills for Innovation and Productivity","year":2002,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Productivity; Competition (biology); Standard of living; Economics; Labour economics; Currency; Overtime; Investment (military); Business; International trade; International economics; Economic growth; Monetary economics; Market economy; Political science","score_opus":0.04497016310210416,"score_gpt":0.27599844880233726,"score_spread":0.2310282857002331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136403567","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":[0.96812874,0.0014223709,0.0010943254,0.0010938299,0.000023236635,0.000022335757,0.0012134092,0.000028561495,0.02697328],"genre_scores_gemma":[0.99823076,0.00034896506,0.00015775942,0.000046425306,0.000022705368,0.00000455006,0.00027067622,0.0000020091768,0.0009161336],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985575,0.00013981752,0.000060918224,0.00013385514,0.0005531868,0.0005546636],"domain_scores_gemma":[0.98700744,0.004376741,0.004157146,0.00052290666,0.0014606238,0.0024750684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008307829,0.00020635813,0.000263218,0.0024046653,0.00057750056,0.0017937765,0.00037788102,0.00047375401,0.003937114],"category_scores_gemma":[0.010630131,0.00010133033,0.0003391687,0.0025623962,0.0014541771,0.0005968229,0.000711706,0.0006597052,0.00054364814],"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":[0.00006538798,0.00008078575,0.9584458,0.00006644951,0.00012126037,0.00015051111,0.00031342893,0.0016613583,0.0005818272,0.0036115313,0.0012279868,0.033673696],"study_design_scores_gemma":[0.0000049711316,0.000023726665,0.9955786,0.000015712189,0.000017561426,0.000041982683,0.00015116656,0.00050969794,0.00012396969,0.0017511438,0.0017754562,0.0000060285074],"about_ca_topic_score_codex":0.1733013,"about_ca_topic_score_gemma":0.23149729,"teacher_disagreement_score":0.1733013,"about_ca_system_score_codex":0.0028231444,"about_ca_system_score_gemma":0.0035453273,"threshold_uncertainty_score":0.34458512},"labels":[],"label_agreement":null},{"id":"W2137942298","doi":"10.1111/caje.12103","title":"The transatlantic productivity gap: Is R&amp;D the main culprit?","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Investment (military); Economics; Monetary economics; Econometrics; International economics; Economic geography; Macroeconomics; Political science","score_opus":0.13710613087817677,"score_gpt":0.17473699073667878,"score_spread":0.03763085985850201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137942298","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":[0.9290291,0.022862393,0.0036568842,0.011523116,0.00014379245,0.000013585599,0.0017821474,0.000060814873,0.030928215],"genre_scores_gemma":[0.99706477,0.0012854626,0.00021003961,0.00033503902,0.00006143234,0.0000028629447,0.00031249406,0.00000720014,0.0007207151],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899477,0.0001775914,0.00008095599,0.0002420237,0.0002560579,0.00024857352],"domain_scores_gemma":[0.99338514,0.0023666548,0.0026211862,0.00038600157,0.00078342756,0.00045753634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019585663,0.0001754842,0.00039185738,0.0015531242,0.00028241775,0.0023681037,0.00044267083,0.0005978269,0.007399098],"category_scores_gemma":[0.006088336,0.000087432105,0.00044606972,0.0028682563,0.0008145653,0.0016634245,0.0013374712,0.00094714016,0.0011004662],"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":[0.0005673125,0.00014649179,0.7582231,0.00055111176,0.00037559486,0.0009870835,0.0010819891,0.0039255237,0.0031588662,0.06810942,0.007686767,0.15518668],"study_design_scores_gemma":[0.000037675632,0.0001259234,0.9395598,0.0003957267,0.00018490663,0.00046349797,0.003522331,0.0040666913,0.0038479592,0.020196052,0.027572371,0.000027045384],"about_ca_topic_score_codex":0.0059104916,"about_ca_topic_score_gemma":0.003080873,"teacher_disagreement_score":0.007399098,"about_ca_system_score_codex":0.0009443312,"about_ca_system_score_gemma":0.0006923441,"threshold_uncertainty_score":0.024752498},"labels":[],"label_agreement":null},{"id":"W2138451904","doi":"","title":"The Productivity of Nations","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Productivity; Distribution (mathematics); Developing country; Economics; Labour economics; Development economics; Economic growth","score_opus":0.009566708184226686,"score_gpt":0.1889744412733451,"score_spread":0.1794077330891184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138451904","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":[0.3301713,0.03100261,0.016595704,0.019010546,0.002544478,0.000054691867,0.012779672,0.00022266462,0.58761835],"genre_scores_gemma":[0.93407923,0.013145426,0.0026317376,0.0005579827,0.00070151396,0.00007728397,0.002426999,0.000030554704,0.046349168],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99932337,0.00024190253,0.00003537707,0.000116890216,0.00017702254,0.00010548657],"domain_scores_gemma":[0.9989612,0.0002592895,0.00023619994,0.00015117733,0.00025603783,0.00013611872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009131978,0.00034776726,0.00029564858,0.002169026,0.0005475221,0.0023616753,0.000213711,0.0004803007,0.007656627],"category_scores_gemma":[0.0043764818,0.00011347045,0.0002841696,0.0041394625,0.0008775925,0.0023525266,0.0009173379,0.0008733274,0.0014378622],"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":[0.000097768745,0.000036912337,0.049712427,0.00017645446,0.00013838755,0.00017607374,0.0018412421,0.0028403543,0.0006485157,0.76845336,0.042424444,0.13345411],"study_design_scores_gemma":[0.000021041677,0.00014194527,0.11716653,0.00043723744,0.000064396736,0.0005705488,0.003636255,0.0031894818,0.00084447186,0.26812893,0.6057522,0.000046874342],"about_ca_topic_score_codex":0.005016521,"about_ca_topic_score_gemma":0.0031534713,"teacher_disagreement_score":0.007656627,"about_ca_system_score_codex":0.0012571729,"about_ca_system_score_gemma":0.00079029176,"threshold_uncertainty_score":0.025613964},"labels":[],"label_agreement":null},{"id":"W2140161081","doi":"","title":"Education and Cross-Country Productivity Differences","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Total factor productivity; Economics; Per capita; Per capita income; Productivity; Human capital; Demographic economics; Econometrics; Economic growth; Population; Demography","score_opus":0.039317205188028,"score_gpt":0.3020451268236637,"score_spread":0.2627279216356357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140161081","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":[0.98072857,0.0028497428,0.003774261,0.00041744305,0.000060395687,0.000015159361,0.0017378338,0.000066507775,0.010350153],"genre_scores_gemma":[0.997072,0.0004247563,0.00030567538,0.00005087593,0.000023453233,0.000007358599,0.00068202626,0.0000073670603,0.0014265876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882823,0.00032080617,0.00006841962,0.0002839549,0.00014971237,0.00034885338],"domain_scores_gemma":[0.989823,0.005899712,0.002252609,0.0009628958,0.00052322156,0.0005385498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002207934,0.00039166224,0.00045435966,0.0018705755,0.0002746366,0.0014346616,0.00025357743,0.00042691498,0.0066136946],"category_scores_gemma":[0.008384123,0.00011902858,0.00079687196,0.0032149923,0.0004770115,0.00093957764,0.0013078862,0.0007244453,0.00095633767],"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":[0.0003613952,0.00015506518,0.92380923,0.00016641634,0.0012492159,0.0005850029,0.00093103206,0.011782964,0.0010760896,0.012257182,0.0014865403,0.046139978],"study_design_scores_gemma":[0.000036563826,0.00013875052,0.9799483,0.000056540717,0.00026610075,0.0003251476,0.0007446217,0.0027754712,0.0011576978,0.0081237685,0.0063967165,0.000030330924],"about_ca_topic_score_codex":0.0042687957,"about_ca_topic_score_gemma":0.0029330004,"teacher_disagreement_score":0.0066136946,"about_ca_system_score_codex":0.00039672002,"about_ca_system_score_gemma":0.0002599613,"threshold_uncertainty_score":0.022125065},"labels":[],"label_agreement":null},{"id":"W2140455069","doi":"10.1111/j.1467-9396.2007.00694.x","title":"Trade, Human Capital, and Technology Spillovers: an Industry‐level Analysis","year":2007,"lang":"en","type":"article","venue":"Review of International Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Absorptive capacity; Productivity; Economics; Human capital; International trade; International economics; Capital (architecture); Total factor productivity; Capital equipment; Developing country; Economic geography; Industrial organization; Geography; Economic growth","score_opus":0.04547987181761081,"score_gpt":0.2777861128005314,"score_spread":0.23230624098292058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140455069","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":[0.98811495,0.0020247581,0.0017507622,0.00029691696,0.0000074790205,0.000020206975,0.0007616784,0.000013828868,0.00700944],"genre_scores_gemma":[0.9982274,0.0004313269,0.00024304866,0.000019826262,0.0000129594,0.00000596842,0.00022652574,7.694415e-7,0.0008321948],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966335,0.000118735006,0.000014982175,0.000048852617,0.000066548375,0.00008753318],"domain_scores_gemma":[0.9964868,0.0020529472,0.0008093328,0.000117059266,0.00026376796,0.00027020051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007544204,0.00018695039,0.0003566378,0.0019899777,0.0003119992,0.0010930804,0.00018069094,0.00031522888,0.0061568306],"category_scores_gemma":[0.0016462714,0.00011972181,0.0006513306,0.0034704846,0.00035484036,0.00047387756,0.0008887999,0.00041713877,0.00045409877],"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":[0.00015563334,0.00010371906,0.9634712,0.00012356238,0.00049413403,0.0005268305,0.00026870548,0.012522462,0.00063503033,0.0034080653,0.00081130967,0.01747933],"study_design_scores_gemma":[0.000017956367,0.00012927636,0.98418,0.00006801939,0.00024190314,0.0001872196,0.0008301673,0.008526444,0.00048331672,0.0024615608,0.002861533,0.000012604722],"about_ca_topic_score_codex":0.009764077,"about_ca_topic_score_gemma":0.0100695565,"teacher_disagreement_score":0.009764077,"about_ca_system_score_codex":0.0005583421,"about_ca_system_score_gemma":0.00058671256,"threshold_uncertainty_score":0.020596683},"labels":[],"label_agreement":null},{"id":"W2140566693","doi":"10.7202/602334ar","title":"Biens culturels, transmission de culture et croissance","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.038986936519650905,"score_gpt":0.2450126876359065,"score_spread":0.2060257511162556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140566693","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":[0.47967774,0.0030750325,0.30578506,0.013451989,0.0005932729,0.00032805192,0.002156241,0.0004591839,0.1944735],"genre_scores_gemma":[0.7888354,0.0026378385,0.017397197,0.0006448234,0.00013842879,0.0003208633,0.00044518706,0.00010494812,0.18947531],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992387,0.00028128386,0.0000236866,0.00013865645,0.00011241471,0.00020522019],"domain_scores_gemma":[0.9983747,0.00070157193,0.00030287,0.00018863408,0.00020783993,0.00022437348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014881953,0.000916597,0.0007299031,0.00073419075,0.000979976,0.0038979705,0.0014737913,0.0024364186,0.025948336],"category_scores_gemma":[0.00619035,0.0005033893,0.0008878701,0.0011382533,0.0020072304,0.003302617,0.0015122369,0.0022650363,0.0030556528],"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":[0.00023566908,0.00025332815,0.018766884,0.00015642797,0.00012243842,0.00089464145,0.0029434108,0.13251047,0.0020731406,0.79514784,0.006705298,0.040190402],"study_design_scores_gemma":[0.00021042682,0.00052855373,0.018510947,0.00025903853,0.00020162373,0.001567815,0.004254498,0.33458498,0.0012291598,0.5525387,0.085929275,0.00018500075],"about_ca_topic_score_codex":0.025478518,"about_ca_topic_score_gemma":0.014136523,"teacher_disagreement_score":0.025948336,"about_ca_system_score_codex":0.0023686578,"about_ca_system_score_gemma":0.002041349,"threshold_uncertainty_score":0.08680588},"labels":[],"label_agreement":null},{"id":"W2140862928","doi":"10.1017/s0144686x08007770","title":"John Creedy and Ross Guest (eds), New Developments in the Economics of Population Ageing, Edward Elgar, Cheltenham, Gloucestershire, 2007, 688 pp., hbk £170, ISBN 13: 978 1 84542 982 9.","year":2008,"lang":"en","type":"article","venue":"Ageing and Society","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Population ageing; Sociology; Economic history; Population; Law and economics; Economic geography; Economics; Demography","score_opus":0.03078406018452831,"score_gpt":0.21382625385250878,"score_spread":0.18304219366798047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140862928","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00029289233,0.9578907,0.001352151,0.015118489,0.0038571525,0.000016212292,0.00035697297,0.000087386354,0.021028051],"genre_scores_gemma":[0.0026368839,0.9184393,0.0011665536,0.0020833286,0.0026330303,0.000028252101,0.00023867933,0.0000599897,0.07271393],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992256,0.00016262737,0.00007172921,0.00012313889,0.0003459149,0.00007103702],"domain_scores_gemma":[0.99755484,0.0012828127,0.0003126035,0.00007865535,0.0004642709,0.0003068772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019905535,0.0018555737,0.002075733,0.0024352425,0.0006151388,0.003599703,0.0014773766,0.0024889673,0.05638955],"category_scores_gemma":[0.004433195,0.0011998513,0.00077261444,0.003885231,0.001206908,0.0070433365,0.0014288326,0.0028927922,0.039258536],"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":[0.000047657875,0.00001843131,0.00029349237,0.0012557609,0.000025222087,0.00007449328,0.0002391618,0.00028821453,0.00008998948,0.004176242,0.8538825,0.13960886],"study_design_scores_gemma":[0.000020222162,0.000019524585,0.002457595,0.0017606204,0.000039506773,0.0004915232,0.0005443778,0.0001815503,0.00010610074,0.010808486,0.9835333,0.0000372384],"about_ca_topic_score_codex":0.0167372,"about_ca_topic_score_gemma":0.03594372,"teacher_disagreement_score":0.05638955,"about_ca_system_score_codex":0.002039571,"about_ca_system_score_gemma":0.0027933537,"threshold_uncertainty_score":0.18864185},"labels":[],"label_agreement":null},{"id":"W2141068189","doi":"","title":"What Drives U.S. Population Growth","year":2002,"lang":"en","type":"article","venue":"Population bulletin","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":32,"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":"Population; Population growth; China; Geography; Developed country; Population momentum; Projections of population growth; Demography; Population projection; Developing country; World population; Socioeconomics; Birth rate; Economic growth; Fertility; Economics; Sociology","score_opus":0.03180621063746296,"score_gpt":0.2017482308606788,"score_spread":0.16994202022321586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141068189","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":[0.19625728,0.03024957,0.0020458286,0.23837394,0.005875268,0.000076870136,0.014351464,0.0006036493,0.5121662],"genre_scores_gemma":[0.9267734,0.021545839,0.001243787,0.017060427,0.0023932818,0.000077188175,0.0043351823,0.00025654296,0.02631429],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99938095,0.00013436611,0.000026455762,0.00010489204,0.00019052363,0.00016282321],"domain_scores_gemma":[0.9987204,0.00021317675,0.00019212576,0.000078746205,0.00053045707,0.00026511433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073614717,0.00028125456,0.00024656762,0.0013396313,0.0012411624,0.0036051613,0.00044859663,0.00080687704,0.01478768],"category_scores_gemma":[0.005301256,0.00018154563,0.00024015558,0.0036587706,0.0008254931,0.002572529,0.0012135127,0.0015380342,0.0042208396],"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":[0.00007083,0.00010258744,0.09034341,0.00030687323,0.00006267433,0.00032838187,0.0026946834,0.00084100873,0.000248596,0.12993737,0.58201313,0.19305044],"study_design_scores_gemma":[0.000035286557,0.000070394606,0.19074348,0.0013101116,0.00005691929,0.00035438786,0.010097357,0.0016296116,0.000541725,0.056984387,0.7381178,0.000058434813],"about_ca_topic_score_codex":0.03849101,"about_ca_topic_score_gemma":0.05150651,"teacher_disagreement_score":0.03849101,"about_ca_system_score_codex":0.002477496,"about_ca_system_score_gemma":0.0020733904,"threshold_uncertainty_score":0.07653391},"labels":[],"label_agreement":null},{"id":"W2141720774","doi":"10.7202/601455ar","title":"L’effet des dépenses en R&amp;D sur la productivité de travail au Québec","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Political science","score_opus":0.046090853290861086,"score_gpt":0.23126285506739455,"score_spread":0.18517200177653348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141720774","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":[0.97679794,0.0023803015,0.0014107937,0.0016196987,0.00002277746,0.00004201788,0.0028736184,0.000054513595,0.014798357],"genre_scores_gemma":[0.9809403,0.0012576765,0.00033738394,0.0001600146,0.000010305072,0.00001718068,0.0009230749,0.000008841503,0.016345283],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884737,0.00037325063,0.000040631727,0.00013738094,0.00027711986,0.00032434115],"domain_scores_gemma":[0.9887805,0.005466311,0.0016656065,0.0004481908,0.0026371863,0.0010022575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017008446,0.00037181602,0.00053795177,0.0011289475,0.0010930279,0.0019406833,0.0008400797,0.00078455306,0.008550093],"category_scores_gemma":[0.0061658323,0.000343381,0.0005099533,0.0016255891,0.0009794333,0.00050329,0.00074183807,0.000867023,0.000615203],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017936461,0.00035478463,0.8387988,0.00029445093,0.0009464036,0.0007661718,0.0007763063,0.09769851,0.004728272,0.006956714,0.00504856,0.04183731],"study_design_scores_gemma":[0.000098581666,0.00033286007,0.960482,0.000081173544,0.00029358277,0.00007288302,0.00074001215,0.02518782,0.0022817533,0.00060416467,0.009783604,0.00004152159],"about_ca_topic_score_codex":0.95595735,"about_ca_topic_score_gemma":0.962927,"teacher_disagreement_score":0.9797124,"about_ca_system_score_codex":0.020287547,"about_ca_system_score_gemma":0.011100992,"threshold_uncertainty_score":0.14719713},"labels":[],"label_agreement":null},{"id":"W2141722626","doi":"","title":"2008-7 Barriers to Technology Adoption and Entry","year":2008,"lang":"en","type":"preprint","venue":"Scholarship@Western (Western University)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Barriers to entry; Monopoly; Business; Government (linguistics); Industrial organization; Work (physics); Key (lock); Economics; Market economy; Market structure; Computer security; Engineering","score_opus":0.07323671324582451,"score_gpt":0.25698965037341737,"score_spread":0.18375293712759286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141722626","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":[0.7139849,0.0029909625,0.026910026,0.01487756,0.00015696666,0.0002307837,0.0026627097,0.00014659212,0.2380395],"genre_scores_gemma":[0.975204,0.00093578413,0.001221477,0.0003034362,0.000072842675,0.000059924852,0.00048606325,0.000015941914,0.021700522],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987411,0.00038033928,0.00007059348,0.00018335036,0.00025159112,0.00037301204],"domain_scores_gemma":[0.99326754,0.0033805405,0.0020891556,0.0003210697,0.0005128336,0.00042888304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011451653,0.00032211083,0.00076249946,0.0006299015,0.00078650675,0.0049329037,0.0003861317,0.0019469592,0.029858608],"category_scores_gemma":[0.007265171,0.00028293522,0.0007443534,0.0010312314,0.0013029086,0.0022851436,0.0012688502,0.002387182,0.0022443358],"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":[0.00029524363,0.00035324815,0.115168475,0.00040412057,0.0001284309,0.00094155583,0.0011456652,0.021994947,0.0016183747,0.8052461,0.022774315,0.029929547],"study_design_scores_gemma":[0.00041531137,0.00041735492,0.1408028,0.00054704375,0.0002928244,0.0014232541,0.0032719148,0.066915974,0.0045255735,0.65234303,0.1289294,0.00011553922],"about_ca_topic_score_codex":0.0054382435,"about_ca_topic_score_gemma":0.0068634823,"teacher_disagreement_score":0.029858608,"about_ca_system_score_codex":0.0025162545,"about_ca_system_score_gemma":0.001729384,"threshold_uncertainty_score":0.09988701},"labels":[],"label_agreement":null},{"id":"W2141751734","doi":"10.6000/1929-7092.2013.02.7","title":"The Regional Economic Value of Entrepreneurship: A Schumpeterian Approach to the Linkage between Entrepreneurship and Regional Development","year":2013,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Entrepreneurship; Proxy (statistics); Total factor productivity; Economics; Linkage (software); Value (mathematics); Productivity; Economic geography; Regional development; Regional science; Macroeconomics; Sociology","score_opus":0.058815085366340135,"score_gpt":0.2406277051759388,"score_spread":0.18181261980959865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141751734","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":[0.36065695,0.011692597,0.40229663,0.008664292,0.0002167899,0.00019885032,0.0007537491,0.000088180495,0.21543208],"genre_scores_gemma":[0.99093646,0.0009956111,0.0069376477,0.000052945376,0.000062028186,0.000042238957,0.00003889083,0.0000062513627,0.0009278757],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998882,0.00068773073,0.000039579114,0.00012896003,0.00017866016,0.000083130435],"domain_scores_gemma":[0.9976241,0.0012549767,0.00041306493,0.00018440542,0.00037147402,0.00015196519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017866088,0.00030988466,0.00043347094,0.00342021,0.0004223027,0.0027469115,0.0008187469,0.0004498312,0.0023876454],"category_scores_gemma":[0.0048759105,0.00012936188,0.0005984597,0.0032590309,0.002850899,0.0022085633,0.002291373,0.0009784045,0.00016493392],"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":[0.000034390585,0.000035693425,0.024149945,0.00017846476,0.00008842283,0.00026775972,0.0005259725,0.021922097,0.0003882939,0.9113543,0.0015094953,0.039544974],"study_design_scores_gemma":[0.000019480749,0.00013315659,0.042891774,0.0003418895,0.0000923789,0.00054283167,0.0017856547,0.061867807,0.0011664903,0.86174804,0.029364536,0.00004592759],"about_ca_topic_score_codex":0.0014213496,"about_ca_topic_score_gemma":0.001646396,"teacher_disagreement_score":0.00342021,"about_ca_system_score_codex":0.0022836286,"about_ca_system_score_gemma":0.0007833298,"threshold_uncertainty_score":0.016569018},"labels":[],"label_agreement":null},{"id":"W2141861206","doi":"10.5539/ies.v5n6p73","title":"Federal Government Funding of Research in Universities in Nigeria, the University of Benin as a Case Study","year":2012,"lang":"en","type":"article","venue":"International Education Studies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Revenue; Investment (military); Economic growth; Sine qua non; Political science; Higher education; Developing country; Public administration; Business; Economics; Finance; Politics","score_opus":0.1690451302280049,"score_gpt":0.3722029099776185,"score_spread":0.2031577797496136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141861206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9600593,0.0019555967,0.00024901467,0.0041743373,0.000030841144,0.000038647177,0.00006740972,0.000008340959,0.033416595],"genre_scores_gemma":[0.99289036,0.0013454669,0.00025605838,0.00011930953,0.000014088584,0.000026124553,0.0000378146,0.0000018516948,0.0053088367],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9981913,0.0008666048,0.00008450244,0.000069636204,0.00017893859,0.0006090498],"domain_scores_gemma":[0.995581,0.002035169,0.00082876254,0.00013664858,0.000496876,0.00092150795],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0019265577,0.00014930827,0.0001916978,0.0018141933,0.006676599,0.0030761184,0.00044892586,0.0014918447,0.0031956818],"category_scores_gemma":[0.0031134586,0.0001610088,0.00009723939,0.003319153,0.0012257992,0.0011262756,0.0013419144,0.0005609615,0.00028690905],"study_design_candidate":"qualitative","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":[0.00092165585,0.001582175,0.33832332,0.0014354488,0.00004635829,0.024702271,0.095480695,0.009602336,0.005449869,0.31328577,0.02410575,0.18506433],"study_design_scores_gemma":[0.00008617464,0.00059200707,0.3625071,0.0012583876,0.00005210298,0.005974363,0.3157425,0.006277434,0.0036014665,0.00938097,0.2944387,0.00008877126],"about_ca_topic_score_codex":0.03645452,"about_ca_topic_score_gemma":0.069108024,"teacher_disagreement_score":0.99807346,"about_ca_system_score_codex":0.008992008,"about_ca_system_score_gemma":0.00929812,"threshold_uncertainty_score":0.07248467},"labels":[],"label_agreement":null},{"id":"W2141872571","doi":"10.1111/j.0008-4085.2006.00361.x","title":"Labour force ageing and productivity performance in Canada","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Productivity; Ageing; Economics; Demographic economics; Labour economics; Economic growth; Biology","score_opus":0.05873574677741449,"score_gpt":0.14485570811310264,"score_spread":0.08611996133568814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141872571","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":[0.935845,0.0076391227,0.00026648934,0.003988209,0.00013944285,0.000052853757,0.023918618,0.000047048437,0.028103193],"genre_scores_gemma":[0.98838335,0.0020610117,0.00008792773,0.00010454929,0.000022063716,0.000009050796,0.0036641117,0.0000070569863,0.0056609465],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864703,0.000057852496,0.00005902888,0.0000943331,0.00056414533,0.00057759194],"domain_scores_gemma":[0.99327505,0.0002617934,0.0009583647,0.00009156919,0.0041261665,0.0012870486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091711467,0.00035130847,0.00043807083,0.0029174874,0.002376226,0.0018115151,0.0006947728,0.0003756296,0.004689065],"category_scores_gemma":[0.004665025,0.00015722444,0.00056759967,0.0067661675,0.000711308,0.00044901847,0.0009073409,0.00084251264,0.0004955527],"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":[0.00020127825,0.000054907316,0.94362974,0.0001681417,0.00013658813,0.00027933475,0.0020183483,0.0024394689,0.00020439061,0.0020404698,0.013055911,0.035771355],"study_design_scores_gemma":[0.000005589847,0.000017135299,0.99057674,0.00006850845,0.00002036224,0.000031515916,0.00088903424,0.00044575712,0.00006774009,0.000098941615,0.007765046,0.000013547461],"about_ca_topic_score_codex":0.99706167,"about_ca_topic_score_gemma":0.99732494,"teacher_disagreement_score":0.044071462,"about_ca_system_score_codex":0.044071462,"about_ca_system_score_gemma":0.052292086,"threshold_uncertainty_score":0.31976235},"labels":[],"label_agreement":null},{"id":"W2142216076","doi":"","title":"Testing For Convergence in Output and in 'Well-Being' in Industrialized Countries*","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Convergence (economics); Context (archaeology); Convergence clubs; Sample (material); Econometrics; Test (biology); Economics; Developed country; Per capita; Macroeconomics; Geography; Sociology","score_opus":0.08830169723120138,"score_gpt":0.2982741789417933,"score_spread":0.20997248171059194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142216076","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":[0.9938259,0.00013632927,0.0020429948,0.0001634482,0.000009781413,0.00001661613,0.00040080328,0.000012520713,0.0033916403],"genre_scores_gemma":[0.9989503,0.000033255634,0.00052351225,0.000014869308,0.0000048173824,0.000017044884,0.00036637552,0.0000022075133,0.000087641245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99615663,0.0022636065,0.00029316664,0.0004883087,0.00045952553,0.00033871172],"domain_scores_gemma":[0.97070754,0.018626787,0.004586423,0.0021826508,0.0026667533,0.0012298288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008908205,0.0004411215,0.0006692934,0.003688403,0.0005254994,0.0011912612,0.0005709368,0.00069938984,0.0025328358],"category_scores_gemma":[0.027670354,0.00012838139,0.0008137329,0.0037981148,0.0018152377,0.0010956405,0.0020333505,0.0008341471,0.00024826205],"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":[0.00035147707,0.000093569084,0.97716045,0.00006354477,0.00040362737,0.00013468308,0.0010075631,0.0036627771,0.00037587993,0.0034564782,0.00027431967,0.013015571],"study_design_scores_gemma":[0.000017849794,0.00020049025,0.9892369,0.00002419884,0.00004504047,0.00006760177,0.0016039602,0.0045276396,0.00036775606,0.0035125797,0.00038106318,0.000015004079],"about_ca_topic_score_codex":0.0033394517,"about_ca_topic_score_gemma":0.0020927486,"teacher_disagreement_score":0.008908205,"about_ca_system_score_codex":0.00062470423,"about_ca_system_score_gemma":0.0005354178,"threshold_uncertainty_score":0.04711163},"labels":[],"label_agreement":null},{"id":"W2142824480","doi":"","title":"The Business of Globalization and the Globalization of Business","year":2006,"lang":"en","type":"article","venue":"Journal of Comparative International Management","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Globalization; Mindset; Economic system; Economic liberalization; Competitive advantage; Entrepreneurship; Order (exchange); Economic globalization; Information economy; Liberalization; Business; Economics; Market economy; Marketing; Computer science","score_opus":0.02044285418593903,"score_gpt":0.23464032518196826,"score_spread":0.21419747099602923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142824480","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":[0.016604852,0.09775239,0.004176462,0.11457805,0.0030660047,0.000042767395,0.00007530899,0.00008853179,0.76361567],"genre_scores_gemma":[0.6829975,0.14975764,0.006990636,0.02328271,0.006452469,0.0001903424,0.00017132539,0.0001557346,0.13000152],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997387,0.0015561209,0.00004810424,0.00016450827,0.0005292196,0.00031498665],"domain_scores_gemma":[0.9985575,0.0005397645,0.00022858076,0.00016093405,0.00014949689,0.00036378796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016464038,0.000545896,0.00037052555,0.0015303734,0.003065669,0.012214856,0.0004624314,0.002599066,0.00855131],"category_scores_gemma":[0.002707559,0.00015449812,0.0002745209,0.0034331735,0.016942974,0.008309041,0.0050965897,0.0034063596,0.0010047504],"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":[0.00001201659,0.000017886967,0.0007161351,0.000119588505,0.000006845521,0.000120875,0.0042531146,0.00013160708,0.00010035072,0.92545444,0.030908875,0.038158175],"study_design_scores_gemma":[0.0000048709567,0.000018675846,0.0015447357,0.0004461341,0.0000054609695,0.00015311674,0.0058334903,0.00008917731,0.00006392596,0.24543825,0.746391,0.000011166565],"about_ca_topic_score_codex":0.0019780414,"about_ca_topic_score_gemma":0.0019670096,"teacher_disagreement_score":0.012214856,"about_ca_system_score_codex":0.003084484,"about_ca_system_score_gemma":0.004475736,"threshold_uncertainty_score":0.028606951},"labels":[],"label_agreement":null},{"id":"W2143227588","doi":"10.1016/j.respol.2014.11.007","title":"How does information technology improve aggregate productivity? A new channel of productivity dispersion and reallocation","year":2014,"lang":"en","type":"article","venue":"Research Policy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":60,"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 Alberta","funders":"National Research Foundation of Korea; Ewha Womans University; Korea University; Sogang University; Seoul National University; Institute of Management Research, College of Business Administration Seoul National University","keywords":"Productivity; Economics; Industrial organization; Aggregate (composite); Production (economics); Productivity model; Channel (broadcasting); Dispersion (optics); Total factor productivity; Microeconomics; Macroeconomics; Telecommunications; Computer science","score_opus":0.03744842534750239,"score_gpt":0.2799894101475565,"score_spread":0.24254098480005412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143227588","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":[0.3453912,0.027052535,0.21372229,0.23412473,0.002861406,0.00016359371,0.0013214507,0.0010145117,0.17434834],"genre_scores_gemma":[0.97537506,0.0049775583,0.0071464083,0.0020527162,0.002687785,0.00005498227,0.00008302083,0.000083627856,0.00753886],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99503493,0.0020517162,0.0003879402,0.00074507145,0.0011729726,0.0006072505],"domain_scores_gemma":[0.928374,0.04895855,0.0086321635,0.007031455,0.0056206677,0.0013831385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008186434,0.0006032772,0.0012967872,0.0042757983,0.001692546,0.012600127,0.001173061,0.004239024,0.015744742],"category_scores_gemma":[0.053893857,0.00058229786,0.0009792448,0.00751281,0.005900294,0.026446678,0.004476335,0.0029809196,0.0017352626],"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":[0.0009245886,0.00042779194,0.023329254,0.0006750141,0.0002548197,0.0003567106,0.0026012936,0.015821898,0.0022802723,0.7467064,0.016155776,0.19046628],"study_design_scores_gemma":[0.00015811971,0.00016690054,0.011909226,0.0003120251,0.00017826688,0.00019812597,0.0015644844,0.013426832,0.001750092,0.94443184,0.025805954,0.000098174736],"about_ca_topic_score_codex":0.0021718184,"about_ca_topic_score_gemma":0.0016515472,"teacher_disagreement_score":0.015744742,"about_ca_system_score_codex":0.0036906623,"about_ca_system_score_gemma":0.0031621093,"threshold_uncertainty_score":0.052671432},"labels":[],"label_agreement":null},{"id":"W2143372795","doi":"","title":"Changes in the Terms of Trade and Canada's Productivity Performance","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"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":"Total factor productivity; Depreciation (economics); Economics; Productivity; Labour economics; Net income; Real gross domestic product; Net national income; Growth accounting; Gross domestic income; Gross income; Agricultural economics; Capital formation; Human capital; Macroeconomics; Economic growth; Public economics; Finance","score_opus":0.0437090187384836,"score_gpt":0.24791917763655802,"score_spread":0.20421015889807442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143372795","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":[0.793267,0.0057195094,0.001746834,0.004404261,0.000207262,0.000053709326,0.12044343,0.00031150706,0.073846534],"genre_scores_gemma":[0.96256304,0.0022975153,0.00068885443,0.00009884916,0.000035819266,0.00001135288,0.022921225,0.00005406671,0.011329315],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977785,0.00007029801,0.00008533457,0.00016873749,0.0013258702,0.0005713741],"domain_scores_gemma":[0.9909657,0.0006920242,0.0012457374,0.00021225383,0.006039089,0.0008452949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012252809,0.00041946312,0.00041624226,0.0053901477,0.0016036929,0.0034718025,0.0008795346,0.0003018694,0.004333197],"category_scores_gemma":[0.007733408,0.0001521753,0.0006027036,0.016283853,0.00079398026,0.0008843367,0.00067121227,0.00079995516,0.0007490455],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028134158,0.00005889809,0.85337883,0.0003279131,0.0003050531,0.0004036165,0.0026782574,0.009620683,0.0008418538,0.014055982,0.047236536,0.07081098],"study_design_scores_gemma":[0.0000047123435,0.000014844013,0.9705396,0.00006182866,0.000034325672,0.00006079948,0.0012171684,0.0024095247,0.00043726995,0.00034850914,0.024836943,0.0000343916],"about_ca_topic_score_codex":0.9957202,"about_ca_topic_score_gemma":0.9964277,"teacher_disagreement_score":0.046783485,"about_ca_system_score_codex":0.046783485,"about_ca_system_score_gemma":0.03554809,"threshold_uncertainty_score":0.3394395},"labels":[],"label_agreement":null},{"id":"W2143399535","doi":"10.1093/ajae/aar011","title":"Agricultural Distortions, Structural Change, and Economic Growth: A Cross‐Country Analysis","year":2011,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Agriculture; Industrialisation; Economics; Convergence (economics); Per capita income; Structural change; Per capita; Sample (material); Development economics; Macroeconomics; Market economy; Geography","score_opus":0.022990849387121846,"score_gpt":0.2042592930559375,"score_spread":0.18126844366881567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143399535","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":[0.99786586,0.00033815874,0.0007677653,0.00015598017,0.0000102212125,0.000010653873,0.00024782537,0.000008412866,0.0005951804],"genre_scores_gemma":[0.99858737,0.0002758421,0.00021765954,0.000022096292,0.00001373899,0.000007807811,0.00055072247,0.0000037021214,0.00032106022],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993529,0.00028600456,0.000034259247,0.000086602486,0.000057325473,0.00018293592],"domain_scores_gemma":[0.99423534,0.002828567,0.0014204399,0.0005665929,0.00037398326,0.00057511387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025011017,0.00041464248,0.0006280913,0.0016094684,0.0005305442,0.0013376405,0.00043891938,0.0006838571,0.0026401584],"category_scores_gemma":[0.0051246793,0.00027914252,0.0015341325,0.0015643716,0.00087488856,0.00073066,0.0015351613,0.0012499832,0.00032169835],"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":[0.00062488933,0.00038925034,0.9345017,0.000049106515,0.0018415998,0.0007121364,0.00031913942,0.044150688,0.0008131229,0.0044843564,0.0017079493,0.0104059335],"study_design_scores_gemma":[0.00012214354,0.00045914672,0.90300983,0.000050174138,0.0010153376,0.00043870995,0.0014193424,0.08647808,0.00102489,0.0027995312,0.0031120812,0.00007075161],"about_ca_topic_score_codex":0.019839486,"about_ca_topic_score_gemma":0.011967737,"teacher_disagreement_score":0.019839486,"about_ca_system_score_codex":0.00069696124,"about_ca_system_score_gemma":0.00047934268,"threshold_uncertainty_score":0.039448023},"labels":[],"label_agreement":null},{"id":"W2143726398","doi":"","title":"The Contribution of ICTs to Productivity Growth in Canada and the United States in the 1990s","year":2001,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Productivity; Economics; ICTS; International trade; Development economics; Agricultural economics; Economic geography; Information and Communications Technology; International economics; Economic growth; Political science","score_opus":0.022140630775899766,"score_gpt":0.2404032242305188,"score_spread":0.21826259345461904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143726398","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":[0.83578855,0.017621657,0.00072218105,0.04355297,0.0005136156,0.000052544172,0.010130933,0.00017116063,0.09144648],"genre_scores_gemma":[0.9791919,0.008226449,0.00030953105,0.0007279737,0.00007575379,0.000008262036,0.0022391928,0.00002192039,0.009198905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981066,0.00005637263,0.000049195354,0.000118039854,0.0006483567,0.0010214645],"domain_scores_gemma":[0.99393624,0.00029403524,0.000486593,0.00008022394,0.003898041,0.0013047879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009091235,0.0004574696,0.00044678405,0.004903991,0.003949175,0.003837103,0.00069248956,0.00059691985,0.0024355333],"category_scores_gemma":[0.0065777428,0.00019018106,0.0005562336,0.0103243515,0.0016344899,0.0011226306,0.0020668507,0.0015667015,0.00029722447],"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":[0.00046704852,0.00012105609,0.7185373,0.00026855827,0.00022967173,0.0011172409,0.005484279,0.0057066754,0.0006565641,0.038453758,0.055459563,0.17349832],"study_design_scores_gemma":[0.00002798228,0.000029758758,0.9200817,0.0002586044,0.00015730345,0.00016268034,0.009554445,0.0031015624,0.0008543959,0.0032123479,0.062500715,0.000058623875],"about_ca_topic_score_codex":0.9968935,"about_ca_topic_score_gemma":0.99770844,"teacher_disagreement_score":0.0772723,"about_ca_system_score_codex":0.0772723,"about_ca_system_score_gemma":0.106585704,"threshold_uncertainty_score":0.56065243},"labels":[],"label_agreement":null},{"id":"W2144238655","doi":"10.1142/s0219877012500344","title":"HOW DO HIGH, MEDIUM, AND LOW TECH FIRMS INNOVATE? A SYSTEM OF INNOVATION (SI) APPROACH","year":2012,"lang":"en","type":"article","venue":"International Journal of Innovation and Technology Management","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Polytechnique Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Order (exchange); Business; Outsourcing; Investment (military); Industrial organization; High tech; Product (mathematics); Market economy; Economics; Finance; Marketing","score_opus":0.017327635032071877,"score_gpt":0.21308052029098748,"score_spread":0.1957528852589156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144238655","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":[0.7992588,0.0065629273,0.06785971,0.014134251,0.00016546705,0.00041454876,0.0012089522,0.00013269024,0.11026263],"genre_scores_gemma":[0.9942826,0.0006194603,0.003451787,0.00024009614,0.000036569094,0.00010958604,0.00017045136,0.000008160656,0.0010813249],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9941037,0.0027828007,0.0003065888,0.0013066957,0.00075094675,0.00074921426],"domain_scores_gemma":[0.9830101,0.011224821,0.0029481777,0.0005970556,0.0011022746,0.0011175208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006263411,0.00039382195,0.001127928,0.0072132526,0.0016442554,0.0072955918,0.0011701849,0.001949097,0.007995718],"category_scores_gemma":[0.013328397,0.00030923536,0.0015248655,0.00621843,0.005049358,0.0072542084,0.002771776,0.0012243948,0.00093826756],"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":[0.0003534838,0.00048231077,0.45594454,0.0009418996,0.00053620274,0.0002526218,0.008077609,0.0103606675,0.0011178633,0.4270555,0.0021853184,0.09269203],"study_design_scores_gemma":[0.0001424329,0.0010987818,0.31101567,0.0004622728,0.00042631058,0.0006507928,0.019208355,0.074618824,0.0009905847,0.56721693,0.024022536,0.00014643544],"about_ca_topic_score_codex":0.0037567124,"about_ca_topic_score_gemma":0.0022395698,"teacher_disagreement_score":0.007995718,"about_ca_system_score_codex":0.0043251356,"about_ca_system_score_gemma":0.0023281567,"threshold_uncertainty_score":0.033124447},"labels":[],"label_agreement":null},{"id":"W2145684798","doi":"","title":"Sensitivity of Capital Stock and Multifactor Productivity Estimates to Depreciation Assumptions: A Canada-U.S. Comparison","year":2010,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada; Innovation, Science and Economic Development Canada","funders":"","keywords":"Depreciation (economics); Economics; Econometrics; Productivity; Stock (firearms); Sensitivity (control systems); Capital formation; Human capital; Macroeconomics; Financial capital; Geography; Engineering","score_opus":0.03388155338675149,"score_gpt":0.2801221742689669,"score_spread":0.24624062088221543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145684798","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":[0.9169578,0.0065092016,0.011217028,0.0016508473,0.00008063711,0.00013496836,0.021560749,0.00040354487,0.041485198],"genre_scores_gemma":[0.9822045,0.0016350631,0.0038534699,0.00015161955,0.000010326011,0.000025198931,0.009422267,0.000059231646,0.0026383635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99693346,0.0003035719,0.00013364966,0.00037903155,0.001670343,0.0005798328],"domain_scores_gemma":[0.9864261,0.003372547,0.0012737397,0.0005739051,0.008089301,0.00026439797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040044216,0.0005882218,0.0005800287,0.0038558836,0.0011895472,0.0022773598,0.0011859135,0.00037886086,0.0019501036],"category_scores_gemma":[0.02237671,0.00025193774,0.0009836189,0.006756218,0.0005464197,0.0007970804,0.0014085008,0.0006684934,0.0002191021],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008843947,0.00007858309,0.690612,0.0004982835,0.0013585604,0.0005195633,0.001628918,0.12972447,0.0011221749,0.022421407,0.02100365,0.13014792],"study_design_scores_gemma":[0.00007212735,0.000096681324,0.88802665,0.00035275688,0.00046469172,0.00026297834,0.0033423027,0.06439492,0.0044414476,0.0035172624,0.034839865,0.00018838035],"about_ca_topic_score_codex":0.984469,"about_ca_topic_score_gemma":0.97853094,"teacher_disagreement_score":0.9764289,"about_ca_system_score_codex":0.023571072,"about_ca_system_score_gemma":0.016897494,"threshold_uncertainty_score":0.17102093},"labels":[],"label_agreement":null},{"id":"W2145830380","doi":"","title":"An Analysis of the Causes of Weak Labour Productivity Growth in Canada since 2000","year":2008,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Labour economics; Convergence (economics); Multifactor productivity; Total factor productivity; Agricultural economics; Macroeconomics","score_opus":0.020133483740376497,"score_gpt":0.21361736468387924,"score_spread":0.19348388094350275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145830380","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":[0.88561106,0.008883906,0.00053708255,0.0139502585,0.00020341824,0.00010808964,0.023192735,0.00011853925,0.06739492],"genre_scores_gemma":[0.9742837,0.006842864,0.00028558713,0.00057852716,0.00005164373,0.000030178295,0.008090598,0.00002869728,0.009808247],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99790454,0.000042391242,0.00008065015,0.00012971311,0.00087032,0.00097239844],"domain_scores_gemma":[0.9932065,0.0002594547,0.0009991692,0.0001000662,0.0044500553,0.0009848166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089028315,0.00043314998,0.00041487042,0.0060292543,0.005100491,0.0029391104,0.0011883242,0.00055443787,0.0033590521],"category_scores_gemma":[0.0043372023,0.00030964485,0.0006753654,0.0146634625,0.0009939891,0.00072458404,0.0015199946,0.0013747063,0.00041927426],"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":[0.00011164117,0.00004361553,0.9036592,0.0002850814,0.00012898944,0.00083196396,0.0037099982,0.0012625756,0.00043515034,0.009098697,0.025865242,0.054567892],"study_design_scores_gemma":[0.000003543392,0.000010450974,0.9769678,0.00012807336,0.000034947658,0.00009845362,0.0041425605,0.00057684403,0.00020326987,0.00025344983,0.01755714,0.000023447312],"about_ca_topic_score_codex":0.99348253,"about_ca_topic_score_gemma":0.9956222,"teacher_disagreement_score":0.061814234,"about_ca_system_score_codex":0.061814234,"about_ca_system_score_gemma":0.09284033,"threshold_uncertainty_score":0.44849575},"labels":[],"label_agreement":null},{"id":"W2146205701","doi":"10.7202/012838ar","title":"L’impact des nouvelles technologies de l’information sur la croissance française, 1980-2001","year":2006,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.02356474558015808,"score_gpt":0.21407138329548048,"score_spread":0.1905066377153224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146205701","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":[0.96032965,0.0046287375,0.000544374,0.0013605349,0.00002745508,0.000029417524,0.003829133,0.000032290285,0.029218435],"genre_scores_gemma":[0.97130007,0.0031095338,0.00036790766,0.00010276283,0.0000324923,0.00002066692,0.002012206,0.000011117517,0.023043245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984554,0.00026070082,0.000082386105,0.00020603943,0.0005697238,0.00042575996],"domain_scores_gemma":[0.99184483,0.00239157,0.0021970845,0.00027264562,0.0024553905,0.00083840557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001674908,0.0003797835,0.00024348323,0.0022425652,0.00080637715,0.0024991028,0.0003502921,0.000477306,0.0051493486],"category_scores_gemma":[0.00542561,0.000251974,0.0004233846,0.0030022284,0.0005606843,0.0010318299,0.00080409547,0.0006969626,0.0009238665],"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":[0.00040647684,0.00013163024,0.8546693,0.00033720263,0.0002834966,0.0005549506,0.005522639,0.0037261571,0.002832862,0.009444721,0.0040148827,0.1180757],"study_design_scores_gemma":[0.0000094389325,0.00008370654,0.96998197,0.00007842487,0.000040238283,0.00007499042,0.0013945503,0.00043257987,0.0006390006,0.00013013033,0.02711923,0.000015677346],"about_ca_topic_score_codex":0.44391385,"about_ca_topic_score_gemma":0.4503819,"teacher_disagreement_score":0.44391385,"about_ca_system_score_codex":0.008362118,"about_ca_system_score_gemma":0.0042149792,"threshold_uncertainty_score":0.88266},"labels":[],"label_agreement":null},{"id":"W2146341843","doi":"10.1111/1467-8454.00073","title":"Changes in Technology and Preferences: A General Equilibrium Explanation of Rapid Growth in Trade","year":2000,"lang":"en","type":"article","venue":"Australian Economic Papers","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Economics; Computable general equilibrium; General equilibrium theory; Work (physics); International trade; International economics; Econometrics; Microeconomics","score_opus":0.032808066370296124,"score_gpt":0.2175552030507846,"score_spread":0.18474713668048848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146341843","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":[0.49800786,0.0013861314,0.35582292,0.017287297,0.00024139718,0.0001257606,0.0010534041,0.00039425312,0.12568106],"genre_scores_gemma":[0.9702162,0.000826221,0.012593447,0.00033955125,0.0000861429,0.0000768723,0.00015257398,0.00004243814,0.01566647],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998215,0.000051193678,0.0000061647474,0.00003815182,0.000032473745,0.000050533938],"domain_scores_gemma":[0.9994025,0.00025659055,0.00012853168,0.00007398664,0.000074436335,0.00006384632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006580248,0.00045076225,0.0005914949,0.00062444527,0.0005552687,0.0016643179,0.00090688537,0.001365041,0.007870993],"category_scores_gemma":[0.0027665407,0.0002618246,0.0014429719,0.0007155154,0.0008939847,0.0020227954,0.0009932938,0.0011084017,0.00076376303],"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":[0.000052943942,0.000062541774,0.0049225395,0.000093725204,0.000049740593,0.000625142,0.00055197167,0.27022535,0.0013925418,0.7060846,0.0032435763,0.012695324],"study_design_scores_gemma":[0.000062316736,0.000049130453,0.005349164,0.00003414503,0.000027648903,0.00022756896,0.00019536568,0.4390887,0.00020185311,0.5476218,0.007111452,0.00003079429],"about_ca_topic_score_codex":0.012274674,"about_ca_topic_score_gemma":0.0066913455,"teacher_disagreement_score":0.012274674,"about_ca_system_score_codex":0.0015382774,"about_ca_system_score_gemma":0.00074944895,"threshold_uncertainty_score":0.026331127},"labels":[],"label_agreement":null},{"id":"W2146408123","doi":"10.2139/ssrn.1427249","title":"A Comparison of GDP Per Capita in Canada and the United States from 1994 to 2005","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Statistics Canada","funders":"","keywords":"Per capita; Gross domestic product; Economics; Demographic economics; Geography; Demography; Economic growth; Population; Sociology","score_opus":0.013164924023127649,"score_gpt":0.21587987609829976,"score_spread":0.2027149520751721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146408123","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":[0.86668456,0.008180483,0.00027226176,0.0024335515,0.00020931452,0.000031677562,0.10367924,0.000116741976,0.018392181],"genre_scores_gemma":[0.94876176,0.003669209,0.00042350692,0.00023676177,0.000040854477,0.000012899249,0.041428458,0.000026195734,0.005400375],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993542,0.000023167999,0.000043012267,0.00007744934,0.00026116078,0.00024102181],"domain_scores_gemma":[0.99661475,0.00010888386,0.00036556966,0.000033770106,0.0025624598,0.00031468124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049245195,0.00042386234,0.000428595,0.0056969547,0.0012477731,0.00210133,0.0007333258,0.0005127452,0.0020048001],"category_scores_gemma":[0.0024979275,0.0001975437,0.00060602487,0.018283734,0.00038601592,0.00080029294,0.00069971185,0.0007138607,0.00026803193],"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":[0.00051128556,0.00006232907,0.926786,0.00033239016,0.00042098752,0.00043782624,0.0010010547,0.0028369152,0.0002993348,0.0024074682,0.03341484,0.031489495],"study_design_scores_gemma":[0.0000062520417,0.000016910113,0.98157215,0.00006239793,0.000077734316,0.00008767804,0.001062115,0.0006434821,0.00021012397,0.00006721246,0.016177839,0.00001623024],"about_ca_topic_score_codex":0.99061614,"about_ca_topic_score_gemma":0.99563223,"teacher_disagreement_score":0.025184115,"about_ca_system_score_codex":0.025184115,"about_ca_system_score_gemma":0.02920488,"threshold_uncertainty_score":0.18272442},"labels":[],"label_agreement":null},{"id":"W2146584528","doi":"10.1016/j.jeca.2013.09.003","title":"Bifurcation analysis of an endogenous growth model","year":2013,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transcritical bifurcation; Mathematics; Period-doubling bifurcation; Bogdanov–Takens bifurcation; Parameter space; Bifurcation; Pitchfork bifurcation; Infinite-period bifurcation; Bifurcation diagram; Saddle-node bifurcation; Hopf bifurcation; Biological applications of bifurcation theory; Bifurcation theory; Mathematical analysis; Boundary (topology); Codimension; Domain (mathematical analysis); Applied mathematics; Stability (learning theory); Nonlinear system; Physics; Computer science; Geometry","score_opus":0.046766941311185035,"score_gpt":0.21803373982354834,"score_spread":0.17126679851236332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146584528","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":[0.38960585,0.0018655211,0.48697856,0.004221505,0.0004506386,0.0001530537,0.0004471206,0.0006307697,0.11564698],"genre_scores_gemma":[0.97930247,0.00046449117,0.008701934,0.00017306965,0.00009272626,0.000074946416,0.000116557945,0.00010063161,0.010973279],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999801,0.00008244805,0.00000898891,0.000025305142,0.00004313327,0.000039143277],"domain_scores_gemma":[0.9991498,0.000424127,0.00012082219,0.000059672475,0.00014071011,0.00010498035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005769644,0.00056651974,0.0012756938,0.0015252394,0.00087583525,0.0016967165,0.00082371925,0.0019816095,0.005875011],"category_scores_gemma":[0.002916962,0.00049164053,0.0012367984,0.0005815313,0.0012598886,0.0011259565,0.0013494202,0.001035112,0.00053110044],"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":[0.00010358218,0.000059176364,0.0009995827,0.000082628765,0.000078709534,0.000297254,0.00021635434,0.4816326,0.004049347,0.5049715,0.0022120578,0.005297208],"study_design_scores_gemma":[0.000015358168,0.000007863479,0.00013582633,0.000010484694,0.000011523972,0.000030126666,0.000018569674,0.9556103,0.00012019426,0.04360864,0.0004214426,0.000009654789],"about_ca_topic_score_codex":0.003737204,"about_ca_topic_score_gemma":0.001422491,"teacher_disagreement_score":0.005875011,"about_ca_system_score_codex":0.0014543751,"about_ca_system_score_gemma":0.0009523464,"threshold_uncertainty_score":0.019653916},"labels":[],"label_agreement":null},{"id":"W2147245365","doi":"10.7202/602250ar","title":"Évolution à long terme de la convergence régionale au Canada","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Innovation, Science and Economic Development Canada; University of Ottawa","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.022446148002897327,"score_gpt":0.20962667264584012,"score_spread":0.1871805246429428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147245365","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":[0.9891348,0.0010490399,0.0007820621,0.00050918205,0.000007467102,0.000006682733,0.0017129403,0.000043799588,0.006754131],"genre_scores_gemma":[0.99701405,0.0002933409,0.0003809465,0.000024880033,0.0000028426423,0.00000400455,0.0006202073,0.000010403032,0.0016493207],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911207,0.00008423128,0.00004081184,0.00021355017,0.00025804134,0.00029114258],"domain_scores_gemma":[0.9941842,0.0008228994,0.00069060933,0.00028076835,0.0036444117,0.00037720485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012199774,0.00021642703,0.0004270953,0.002416588,0.0014268468,0.0018829106,0.0005440823,0.00031768743,0.002603672],"category_scores_gemma":[0.0064873197,0.00018044871,0.00044573416,0.0048162253,0.0011988858,0.00055626116,0.0009856819,0.00050278124,0.00018418243],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032842054,0.000020189696,0.9243973,0.00009708223,0.00031811188,0.00033137604,0.00514906,0.0076832175,0.0029900654,0.0096058585,0.0018586658,0.0472206],"study_design_scores_gemma":[0.000005974952,0.000018240193,0.9890564,0.00003734772,0.000050115952,0.0000586173,0.0021100016,0.0020693985,0.0004975294,0.0003613917,0.0057099094,0.000025139825],"about_ca_topic_score_codex":0.96949023,"about_ca_topic_score_gemma":0.9733247,"teacher_disagreement_score":0.98531353,"about_ca_system_score_codex":0.014686463,"about_ca_system_score_gemma":0.013678248,"threshold_uncertainty_score":0.10655826},"labels":[],"label_agreement":null},{"id":"W2147282857","doi":"10.7202/601025ar","title":"Le progrès, le transfert et le choix technologiques dans les pays en voie de développement (PVD) : vers une approche plus réaliste du problème de la substitution","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Economics; Substitution (logic); Technical change; Production (economics); Elasticity of substitution; Welfare economics; Productivity; Production function; Microeconomics; Macroeconomics; Computer science","score_opus":0.028337764690784282,"score_gpt":0.2328172100329915,"score_spread":0.20447944534220722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147282857","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":[0.0890748,0.077882946,0.64653164,0.08136071,0.0018004612,0.00010555338,0.00049915054,0.00021420015,0.102530554],"genre_scores_gemma":[0.7810523,0.03741421,0.15356246,0.0022076173,0.0012516812,0.00023683577,0.00016648737,0.00011191417,0.02399645],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9940708,0.003291489,0.0002658914,0.0009308869,0.0012011868,0.00023966665],"domain_scores_gemma":[0.9893091,0.008288126,0.0007115518,0.00081067596,0.00073472754,0.00014589363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008975266,0.0010756416,0.0019173869,0.0033600447,0.001975746,0.0091165565,0.0020344588,0.0035325664,0.0033821387],"category_scores_gemma":[0.018121386,0.0009143605,0.0014327978,0.0053066174,0.012098305,0.010012111,0.0035128132,0.005100994,0.0005245156],"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":[0.000022005579,0.000010662413,0.0017439551,0.00011351287,0.000028476274,0.00010263829,0.0006159241,0.0077810287,0.00010597963,0.9690244,0.0005343282,0.01991703],"study_design_scores_gemma":[0.0000112407715,0.000027674416,0.0014638104,0.00018625648,0.000027723021,0.00021315059,0.0006379668,0.017659288,0.00021814811,0.94949245,0.030026665,0.000035674107],"about_ca_topic_score_codex":0.017053196,"about_ca_topic_score_gemma":0.011332613,"teacher_disagreement_score":0.017053196,"about_ca_system_score_codex":0.006211577,"about_ca_system_score_gemma":0.0043810573,"threshold_uncertainty_score":0.047466338},"labels":[],"label_agreement":null},{"id":"W2147632240","doi":"","title":"Productivity: What Is It? How Is It Measured? What Has Canada's Performance Been Over the Period 1961 to 2012?","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"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":"Productivity; Multifactor productivity; Partial productivity; Productivity model; Economics; Econometrics; Total factor productivity; Economic growth","score_opus":0.06330123661832682,"score_gpt":0.26626095195277516,"score_spread":0.20295971533444834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147632240","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":[0.22232464,0.17081591,0.0102734715,0.17731129,0.004256069,0.00021399472,0.15137741,0.0012150151,0.26221225],"genre_scores_gemma":[0.8534255,0.07712834,0.005210838,0.003508826,0.00075239036,0.00007992455,0.02990902,0.00024676553,0.029738406],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99437594,0.0003445615,0.00023087143,0.0005359737,0.0031433161,0.0013693878],"domain_scores_gemma":[0.9831428,0.0010697998,0.0011914505,0.00033225777,0.012705405,0.0015582553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027687384,0.00065117236,0.00088553526,0.0072093685,0.0034948974,0.0066221994,0.0013322263,0.00064108305,0.00403636],"category_scores_gemma":[0.015653491,0.00024166466,0.0005961907,0.026355349,0.0026281357,0.0024341424,0.0012360958,0.0021744363,0.0013566718],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017985093,0.000065627224,0.28813273,0.0018607172,0.0004158512,0.00021212992,0.004030436,0.0055298517,0.00049884943,0.06990996,0.21599329,0.4131707],"study_design_scores_gemma":[0.000014777124,0.000041669242,0.6518314,0.0018572132,0.00010150441,0.000100431746,0.0041418714,0.0020830093,0.00064696383,0.005410833,0.33361232,0.00015805887],"about_ca_topic_score_codex":0.99334526,"about_ca_topic_score_gemma":0.9902823,"teacher_disagreement_score":0.8903064,"about_ca_system_score_codex":0.109693594,"about_ca_system_score_gemma":0.1361351,"threshold_uncertainty_score":0.79588646},"labels":[],"label_agreement":null},{"id":"W2147979458","doi":"10.5018/economics-ejournal.ja.2012-42","title":"Boats and Tides and “Trickle Down” Theories: What Economists Presume about Wellbeing When They Employ Stochastic Process Theory in Modeling Behavior","year":2012,"lang":"en","type":"article","venue":"Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Club; Poverty; Economics; Per capita; Convergence (economics); Polarization (electrochemistry); Inequality; Distribution (mathematics); Positive economics; Development economics; Public economics; Econometrics; Neoclassical economics; Sociology; Macroeconomics; Economic growth; Mathematics; Demography","score_opus":0.023529282728804137,"score_gpt":0.2255705027309421,"score_spread":0.20204122000213795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147979458","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":[0.13642977,0.0067950245,0.70727134,0.10164264,0.000983536,0.00005117183,0.00022732183,0.00014302184,0.04645619],"genre_scores_gemma":[0.9619552,0.0035678763,0.026528811,0.0028677797,0.00082760147,0.00012084966,0.00005379667,0.000060044174,0.004018072],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99805605,0.0013443822,0.00008706194,0.00016780556,0.0002545256,0.000090184025],"domain_scores_gemma":[0.9861398,0.010463145,0.0010766389,0.0011450895,0.00068537315,0.00048999797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006183914,0.0005064807,0.0009129503,0.0012795049,0.0008543159,0.0041749915,0.001275458,0.0023829024,0.002642814],"category_scores_gemma":[0.019293077,0.00036731982,0.00078460464,0.0012823653,0.012977305,0.007347951,0.0023850652,0.004630984,0.00035635266],"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":[0.000016350692,0.000019604988,0.0015422024,0.000039017068,0.000021954826,0.000047335354,0.00062543544,0.009460803,0.000075107026,0.9824002,0.0009743841,0.004777719],"study_design_scores_gemma":[0.0000024032327,0.000007760135,0.0004107414,0.000034015953,0.0000052804985,0.00000872146,0.0001417894,0.011747705,0.00002687383,0.9863565,0.0012523324,0.0000058486035],"about_ca_topic_score_codex":0.0014806385,"about_ca_topic_score_gemma":0.0010635275,"teacher_disagreement_score":0.006183914,"about_ca_system_score_codex":0.001053878,"about_ca_system_score_gemma":0.000687418,"threshold_uncertainty_score":0.032703996},"labels":[],"label_agreement":null},{"id":"W2148723039","doi":"10.1111/iere.12023","title":"LEGAL INSTITUTIONS, INNOVATION, AND GROWTH","year":2013,"lang":"en","type":"article","venue":"International Economic Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Technological change; Investment (military); Welfare; Set (abstract data type); Economics; Law and economics; Business; Industrial organization; Economic system; Law; Market economy; Political science; Computer science; Macroeconomics","score_opus":0.04544748653682518,"score_gpt":0.2602689999846596,"score_spread":0.2148215134478344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148723039","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":[0.85166764,0.010445497,0.017563248,0.0097428365,0.00006761691,0.000050244787,0.00050789304,0.000053984477,0.10990106],"genre_scores_gemma":[0.99456984,0.0026173987,0.0007706198,0.00008535871,0.000049085258,0.000017885777,0.00011322836,0.00000481268,0.0017716826],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99935275,0.00022675667,0.00002927622,0.000056760306,0.00013004128,0.00020434168],"domain_scores_gemma":[0.9829176,0.009508446,0.005307258,0.00034983503,0.0012058616,0.00071103906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015634946,0.00022792746,0.00028643623,0.0019876012,0.0006681246,0.0018092246,0.0003396711,0.00088445167,0.004648544],"category_scores_gemma":[0.011328629,0.000093115385,0.0003609374,0.0025504744,0.0018505307,0.0020576583,0.0011428675,0.0010067668,0.0003431382],"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":[0.00008540788,0.00023881136,0.14510329,0.00020237715,0.00009506247,0.00037751492,0.0006239238,0.057026643,0.0006003954,0.7449566,0.0032330253,0.047456887],"study_design_scores_gemma":[0.000056815054,0.00016113518,0.1397843,0.00032946098,0.00011743165,0.0002590907,0.0014599122,0.07003764,0.0011709509,0.76579416,0.020771662,0.000057528483],"about_ca_topic_score_codex":0.0064917,"about_ca_topic_score_gemma":0.005005205,"teacher_disagreement_score":0.0064917,"about_ca_system_score_codex":0.002675682,"about_ca_system_score_gemma":0.001649751,"threshold_uncertainty_score":0.01941353},"labels":[],"label_agreement":null},{"id":"W2148786323","doi":"10.1111/j.1468-0475.2007.00408.x","title":"Mind the Gap! International Comparisons of Productivity in Services and Goods Production","year":2007,"lang":"en","type":"article","venue":"German Economic Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Industry Canada","keywords":"Productivity; Economics; Goods and services; Total factor productivity; Production (economics); Capital (architecture); Multifactor productivity; International comparisons; Capital good; International trade; Agricultural economics; Business; Economy; Macroeconomics; Economic growth; Geography","score_opus":0.04698277465046099,"score_gpt":0.28445178430609913,"score_spread":0.23746900965563814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148786323","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":[0.7544355,0.066020824,0.0063552163,0.010200912,0.00027872226,0.000021119258,0.003132544,0.00013656134,0.15941866],"genre_scores_gemma":[0.98822635,0.007627555,0.00078096584,0.0002796706,0.00008033793,0.000005999118,0.00083222584,0.000018035766,0.002148833],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999466,0.00012948686,0.000028075696,0.0000827959,0.00017405677,0.000119525284],"domain_scores_gemma":[0.99890184,0.0002632664,0.00019698065,0.00010647886,0.00046413633,0.00006730559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011744531,0.00016777508,0.00022159591,0.00220645,0.00015549216,0.0012065506,0.00014974356,0.0001704692,0.0018941829],"category_scores_gemma":[0.0030368187,0.00006291296,0.0002973064,0.0049064183,0.00046708956,0.0011351088,0.000529432,0.00032659547,0.0003905091],"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":[0.00047257132,0.00006161508,0.28761196,0.00085028453,0.00055659254,0.00039295145,0.0032824858,0.008265953,0.0030588869,0.15950929,0.031089162,0.5048483],"study_design_scores_gemma":[0.000025396183,0.000119784796,0.8397332,0.00046928515,0.00017182452,0.00025312632,0.0030725591,0.0021177398,0.002329847,0.021131363,0.13055241,0.000023460498],"about_ca_topic_score_codex":0.023523979,"about_ca_topic_score_gemma":0.015770677,"teacher_disagreement_score":0.023523979,"about_ca_system_score_codex":0.00072666066,"about_ca_system_score_gemma":0.00063297944,"threshold_uncertainty_score":0.04677415},"labels":[],"label_agreement":null},{"id":"W2148991914","doi":"","title":"What's New About the New Economy? IT, Economic Growth and Productivity","year":2000,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Capital deepening; Spillover effect; Capital (architecture); Labour economics; Production (economics); Technological change; Macroeconomics; Market economy; Human capital; Capital formation; Financial capital","score_opus":0.023039619753515515,"score_gpt":0.2336661348073888,"score_spread":0.21062651505387328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148991914","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0078938035,0.14391308,0.002954229,0.65287787,0.012582242,0.00002302771,0.00048182395,0.000059908514,0.17921403],"genre_scores_gemma":[0.47328782,0.3202965,0.003629981,0.120323084,0.030307535,0.00014913615,0.0007471308,0.00016049443,0.051098373],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975737,0.00089852366,0.00007888912,0.0003193124,0.00063314487,0.000496529],"domain_scores_gemma":[0.9964133,0.0014846164,0.0004975855,0.00019881838,0.00074123056,0.0006645007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018337048,0.00077095226,0.0006092844,0.0023526025,0.003978472,0.016994491,0.0010224788,0.0046459963,0.011640765],"category_scores_gemma":[0.008325064,0.00022333373,0.00044076442,0.007220004,0.010603909,0.025383422,0.0031063787,0.0074872505,0.002397821],"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":[0.000033628083,0.000043222328,0.0036983576,0.00039555438,0.000024764931,0.00014265593,0.0032559237,0.00024559523,0.00011046991,0.69839823,0.21621156,0.07744005],"study_design_scores_gemma":[0.000006689982,0.000017754224,0.0054791532,0.0009564761,0.000013905554,0.00014857904,0.004204732,0.0001743137,0.000108597895,0.25714856,0.73171306,0.000028193961],"about_ca_topic_score_codex":0.011635148,"about_ca_topic_score_gemma":0.011787242,"teacher_disagreement_score":0.016994491,"about_ca_system_score_codex":0.006060086,"about_ca_system_score_gemma":0.005239013,"threshold_uncertainty_score":0.043969154},"labels":[],"label_agreement":null},{"id":"W2149481757","doi":"10.1111/1467-8454.12002","title":"Transfer of Technology to <scp>C</scp>anadian Manufacturing Industries Through Patents","year":2012,"lang":"en","type":"article","venue":"Australian Economic Papers","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Context (archaeology); Business; Technology transfer; Foreign capital; Foreign direct investment; Human capital; International trade; Manufacturing sector; Manufacturing; International economics; Industrial organization; Economics; Marketing; Economic growth","score_opus":0.0472841877418319,"score_gpt":0.23452886474311474,"score_spread":0.18724467700128283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149481757","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":[0.9484165,0.00064034556,0.0009761897,0.000609152,0.000020150163,0.00003687061,0.0002767583,0.000021047585,0.049003],"genre_scores_gemma":[0.992182,0.0005324274,0.00028686252,0.00004360135,0.000014286115,0.000008568355,0.00012281946,0.000002043327,0.006807334],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999532,0.0000762591,0.000025618398,0.00006933889,0.0001859715,0.00011085744],"domain_scores_gemma":[0.99713516,0.001033452,0.0011605725,0.000098450815,0.00037753553,0.00019480177],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.000493522,0.0001420334,0.00015985797,0.001731979,0.00047848627,0.0021214304,0.00020061107,0.00025837444,0.007084236],"category_scores_gemma":[0.003377203,0.000075825395,0.00027582634,0.0019065085,0.00042046097,0.0009655291,0.000622474,0.000587354,0.000852113],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017856425,0.0004940908,0.7553954,0.00031583832,0.00015665773,0.0014583868,0.0013834954,0.01099274,0.0066614593,0.035398856,0.0042968574,0.18326761],"study_design_scores_gemma":[0.000019360366,0.00022445901,0.95456254,0.00010375322,0.00006900535,0.00067022466,0.0016119897,0.00790057,0.004037624,0.00416633,0.026612638,0.000021522628],"about_ca_topic_score_codex":0.010880459,"about_ca_topic_score_gemma":0.013170667,"teacher_disagreement_score":0.998268,"about_ca_system_score_codex":0.0018077521,"about_ca_system_score_gemma":0.0014749448,"threshold_uncertainty_score":0.023699164},"labels":[],"label_agreement":null},{"id":"W2149882610","doi":"10.1111/caje.12187","title":"Capital substitution in an industrial revolution","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Ontario Tech University; University of Alberta","funders":"","keywords":"Economics; Capital good; Substitution (logic); Capital (architecture); Productivity; Industrial Revolution; Function (biology); Growth rate; Capital deepening; Growth model; Order (exchange); Monetary economics; Labour economics; Macroeconomics; Capital formation; Economy; Market economy; Human capital; Financial capital; Goods and services; Mathematics; Finance","score_opus":0.2782829708134698,"score_gpt":0.19075001098497082,"score_spread":0.08753295982849899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149882610","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":[0.77879494,0.0017455966,0.068253286,0.008471178,0.00018435153,0.000078422876,0.00049974734,0.0003420797,0.14163041],"genre_scores_gemma":[0.9871264,0.00039386813,0.0010503591,0.00010734105,0.000028519551,0.000019424288,0.000055947952,0.000011834668,0.011206336],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996495,0.00010483771,0.000011718261,0.000058273225,0.000042310458,0.00013334103],"domain_scores_gemma":[0.9995666,0.00014110295,0.00010077001,0.000053124757,0.000049491187,0.00008884852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075359055,0.00037793684,0.0007520632,0.0005814967,0.0006402285,0.0020378975,0.0006113461,0.0015352374,0.0057098316],"category_scores_gemma":[0.0015179731,0.00026327372,0.0009368784,0.00053677656,0.0014031335,0.0014886601,0.0013148899,0.0009130908,0.00071035075],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016791634,0.00011456056,0.0038259118,0.000058141235,0.00003930661,0.0010769967,0.0004155448,0.18303135,0.0011181838,0.7966863,0.0036419062,0.009823899],"study_design_scores_gemma":[0.0001797955,0.00016460441,0.0041406834,0.000065038425,0.00005856934,0.00045607434,0.00043131583,0.5243448,0.0006625147,0.4513761,0.018063774,0.000056672747],"about_ca_topic_score_codex":0.009371437,"about_ca_topic_score_gemma":0.004496017,"teacher_disagreement_score":0.99062854,"about_ca_system_score_codex":0.0018198409,"about_ca_system_score_gemma":0.0011483922,"threshold_uncertainty_score":0.019101262},"labels":[],"label_agreement":null},{"id":"W2149963859","doi":"10.22004/ag.econ.273623","title":"Coordination Failure in Technological Progress, Economic Growth and Volatility","year":2007,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Coordination failure; Volatility (finance); Economics; Capital good; Externality; Returns to scale; Investment (military); Capital (architecture); Technological change; Economic system; Monetary economics; Industrial organization; Market economy; Macroeconomics; Goods and services; Microeconomics; Production (economics); Finance","score_opus":0.032619620416737424,"score_gpt":0.22299431365646366,"score_spread":0.19037469323972622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149963859","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":[0.8670431,0.0016851859,0.08465321,0.0058535053,0.00009548548,0.000064674234,0.00032611043,0.00013357814,0.040145043],"genre_scores_gemma":[0.9961056,0.0005072648,0.0012304385,0.000044620574,0.00002407616,0.000018671251,0.000031555956,0.0000062585073,0.00203134],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915767,0.00027428282,0.00004708657,0.00019132656,0.000105472296,0.00022419084],"domain_scores_gemma":[0.9948304,0.0021889587,0.0021299822,0.00030471373,0.00017742685,0.00036856232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016951964,0.0005174823,0.0007300802,0.0008500192,0.00069825567,0.0032231323,0.00052887725,0.0015637283,0.00373012],"category_scores_gemma":[0.009450015,0.0003373559,0.0007465635,0.0010534228,0.0023963123,0.003190661,0.0018189072,0.0013444423,0.00022363206],"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":[0.00021452503,0.00009955972,0.030243276,0.000117292126,0.00012854175,0.0007585008,0.0006437457,0.20610884,0.0016943169,0.7405231,0.00261005,0.016858269],"study_design_scores_gemma":[0.00008397922,0.00009808188,0.019584164,0.000044772172,0.00006770119,0.00024168224,0.00041310425,0.23806444,0.00088702404,0.7370388,0.0034112432,0.000065013046],"about_ca_topic_score_codex":0.005192318,"about_ca_topic_score_gemma":0.0023819313,"teacher_disagreement_score":0.005192318,"about_ca_system_score_codex":0.002080609,"about_ca_system_score_gemma":0.0008658576,"threshold_uncertainty_score":0.01509589},"labels":[],"label_agreement":null},{"id":"W2150312251","doi":"10.7202/602122ar","title":"Le programme de productivité multifactorielle de Statistique Canada","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.03192210170713841,"score_gpt":0.20768665924438995,"score_spread":0.17576455753725154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150312251","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020476079,0.0121689765,0.7764132,0.0170022,0.0021074493,0.0013995809,0.014904288,0.003616463,0.15191178],"genre_scores_gemma":[0.18916373,0.014158166,0.659634,0.0020059973,0.0012001843,0.003194643,0.010619957,0.002040909,0.11798235],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9858372,0.0043396405,0.00045451595,0.0009665723,0.0076795523,0.000722546],"domain_scores_gemma":[0.9663943,0.011334111,0.0009924844,0.0024473015,0.01756591,0.0012658876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015858773,0.0011046728,0.0012336269,0.0048598335,0.0018890566,0.004409025,0.0015115488,0.00084899244,0.019965185],"category_scores_gemma":[0.03305762,0.00065484515,0.0010780827,0.007981593,0.0022543825,0.0009747159,0.0017911387,0.002974235,0.0029941837],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027280173,0.00008996191,0.012764438,0.0007071351,0.00024486668,0.00014849479,0.001127497,0.018305505,0.002388815,0.3948466,0.07178633,0.49731758],"study_design_scores_gemma":[0.00019721962,0.00022232016,0.035247307,0.0007132601,0.0001551728,0.00017057001,0.00049962563,0.0409773,0.0035947736,0.06488926,0.8532029,0.0001304042],"about_ca_topic_score_codex":0.73598766,"about_ca_topic_score_gemma":0.6331511,"teacher_disagreement_score":0.26401234,"about_ca_system_score_codex":0.02317186,"about_ca_system_score_gemma":0.098136514,"threshold_uncertainty_score":0.53113425},"labels":[],"label_agreement":null},{"id":"W2150522245","doi":"10.1111/j.1467-937x.2010.00610.x","title":"How Important Is Human Capital? A Quantitative Theory Assessment of World Income Inequality","year":2010,"lang":"en","type":"article","venue":"The Review of Economic Studies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":240,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Concordia University","funders":"","keywords":"Inequality; Capital (architecture); Human capital; History; Classics; Sociology; Economics; Library science; Political science; Archaeology; Economic growth; Computer science; Mathematics","score_opus":0.09233864071625132,"score_gpt":0.35298375985356334,"score_spread":0.26064511913731203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150522245","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":[0.229299,0.0251241,0.53012913,0.052320663,0.00032568874,0.00010436665,0.0010215782,0.00014555994,0.1615299],"genre_scores_gemma":[0.9780698,0.0061125243,0.012854515,0.0007635065,0.00028893672,0.00010287785,0.00013058046,0.000015013551,0.0016622719],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990386,0.00059684354,0.000023341356,0.000100916375,0.0001694201,0.00007081865],"domain_scores_gemma":[0.9962191,0.0027046753,0.00037016705,0.00031991507,0.00025970937,0.00012639396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021713544,0.0005292832,0.0004824474,0.0023542058,0.00057713053,0.0023592343,0.00075703714,0.0010478527,0.0025857326],"category_scores_gemma":[0.0072782235,0.0002152936,0.00039672892,0.002099752,0.0036542309,0.0044184285,0.0013582238,0.0009641061,0.00020955397],"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":[0.000012009597,0.000022536775,0.0028084759,0.00009714411,0.000030338955,0.00005356449,0.00016712656,0.020540405,0.00016895958,0.9577104,0.0012744025,0.017114772],"study_design_scores_gemma":[0.00000517525,0.000019777515,0.003126366,0.000114585215,0.000013140035,0.00004866371,0.00018956175,0.029505642,0.00013245929,0.9609117,0.005921783,0.000011142766],"about_ca_topic_score_codex":0.0016459925,"about_ca_topic_score_gemma":0.00071989687,"teacher_disagreement_score":0.0025857326,"about_ca_system_score_codex":0.0014615941,"about_ca_system_score_gemma":0.0005128322,"threshold_uncertainty_score":0.011483371},"labels":[],"label_agreement":null},{"id":"W2150645193","doi":"10.7202/040668ar","title":"Aléas des stratégies de diversification technologique des nouveaux pays industriels","year":2008,"lang":"fr","type":"article","venue":"Politique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.06693937668932658,"score_gpt":0.2294463850313185,"score_spread":0.16250700834199194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150645193","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":[0.40370476,0.007273043,0.12913977,0.007087216,0.00009704287,0.00024131186,0.00016687582,0.00012575286,0.45216414],"genre_scores_gemma":[0.94502354,0.0039637713,0.018040672,0.00034351475,0.000026592612,0.00011314473,0.0000654405,0.000018407854,0.032404974],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99917895,0.00026128115,0.00002857202,0.00019046606,0.00017360649,0.00016698072],"domain_scores_gemma":[0.9990802,0.0003028058,0.00019985135,0.00012488035,0.00019375245,0.00009850297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014137606,0.0005629392,0.00036722634,0.0016817653,0.0021835205,0.0054969955,0.00088236545,0.0012670411,0.007802031],"category_scores_gemma":[0.0020849877,0.00031359642,0.00088151084,0.0019823622,0.003058135,0.002906286,0.0020790335,0.0014958625,0.0007933578],"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":[0.000048899085,0.000068648784,0.012727648,0.00018801616,0.00007131309,0.0002697037,0.00464452,0.011340855,0.0017384558,0.91608715,0.0007451084,0.052069552],"study_design_scores_gemma":[0.000058699618,0.00027383526,0.04625748,0.0008539649,0.00016930037,0.0008039298,0.014532023,0.021822594,0.005430246,0.72605854,0.18365966,0.000079727695],"about_ca_topic_score_codex":0.009682599,"about_ca_topic_score_gemma":0.013650447,"teacher_disagreement_score":0.009682599,"about_ca_system_score_codex":0.005308991,"about_ca_system_score_gemma":0.0037285627,"threshold_uncertainty_score":0.03851956},"labels":[],"label_agreement":null},{"id":"W2151464391","doi":"10.5539/ass.v8n12p88","title":"Analysis on Convergence of Innovation Resource Attraction and Its Affecting Factors in Chinese Provinces: Based on the Perspective of New Input Allocation","year":2012,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Openness to experience; Attraction; Convergence (economics); China; Resource (disambiguation); Economic geography; Distribution (mathematics); Government (linguistics); Resource allocation; Perspective (graphical); Resource distribution; Panel data; Promotion (chess); Economics; Geography; Economic growth; Econometrics; Political science; Mathematics; Computer science; Psychology; Market economy","score_opus":0.03593656559781091,"score_gpt":0.26745675907083516,"score_spread":0.23152019347302424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151464391","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":[0.9977774,0.000100219746,0.00060849887,0.00007093001,0.0000024515125,0.000010612387,0.00027820846,0.000007851157,0.0011437325],"genre_scores_gemma":[0.99943465,0.000054266842,0.00011710185,0.0000043534765,0.0000015907756,0.0000035015075,0.0002115827,0.0000010759314,0.00017196908],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992373,0.0001320215,0.0000565711,0.00014290877,0.00018435888,0.00024675147],"domain_scores_gemma":[0.99800736,0.000614718,0.00037741268,0.000114551134,0.0006152676,0.0002706972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012899787,0.00020965049,0.00049126113,0.0020511106,0.00072160095,0.0009482432,0.0004946801,0.00021783916,0.0014246351],"category_scores_gemma":[0.0035073212,0.00018309228,0.0007763415,0.0036655695,0.0005209883,0.0005432431,0.00084393,0.00039472705,0.00007417846],"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":[0.00011101423,0.000032124306,0.97637504,0.000050833973,0.00021825223,0.00029395864,0.00072900695,0.010698641,0.0006053088,0.0023235756,0.00035307297,0.008209389],"study_design_scores_gemma":[0.000009693042,0.000028385319,0.98219085,0.00000875533,0.00006580691,0.000040103503,0.001166244,0.015292672,0.00021748044,0.0003883406,0.00057937787,0.000012335849],"about_ca_topic_score_codex":0.28889927,"about_ca_topic_score_gemma":0.23089807,"teacher_disagreement_score":0.28889927,"about_ca_system_score_codex":0.0034012948,"about_ca_system_score_gemma":0.0030597069,"threshold_uncertainty_score":0.57443535},"labels":[],"label_agreement":null},{"id":"W2151542510","doi":"","title":"Productivity Growth in Services Industries: Is There a Role for Measurement?","year":2004,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Public sector; Manufacturing sector; Multifactor productivity; Labour economics; Total factor productivity; Macroeconomics; Economy","score_opus":0.04131690126351707,"score_gpt":0.23271568907902496,"score_spread":0.1913987878155079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151542510","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035109833,0.3072722,0.13310976,0.4617934,0.009749866,0.000219871,0.0017505272,0.00040750086,0.05058702],"genre_scores_gemma":[0.779426,0.113636695,0.05943895,0.02581452,0.015793506,0.00064479676,0.0011378858,0.00020282542,0.0039048693],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9623833,0.025025347,0.0021843608,0.0033370843,0.006125844,0.00094411505],"domain_scores_gemma":[0.7411643,0.20198916,0.020568183,0.014150909,0.018614465,0.003513022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0737209,0.0014551738,0.0026691826,0.008411888,0.0021145218,0.007843248,0.0031425864,0.0049675805,0.003606614],"category_scores_gemma":[0.22862107,0.00056239276,0.0011007137,0.021536514,0.017506704,0.030455315,0.005303844,0.0064427094,0.0011665162],"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":[0.00017508808,0.00023508504,0.067093,0.0033125996,0.00032355438,0.00008877247,0.0028479265,0.002773722,0.0004201054,0.5448208,0.043113932,0.33479545],"study_design_scores_gemma":[0.00006004192,0.00033324969,0.056895435,0.006766402,0.00015439,0.0002695266,0.0058955615,0.009476286,0.0006447209,0.79331577,0.12594542,0.0002432324],"about_ca_topic_score_codex":0.010209275,"about_ca_topic_score_gemma":0.0068016374,"teacher_disagreement_score":0.0737209,"about_ca_system_score_codex":0.0065597203,"about_ca_system_score_gemma":0.0074246186,"threshold_uncertainty_score":0.38987803},"labels":[],"label_agreement":null},{"id":"W2151825750","doi":"10.22004/ag.econ.19333","title":"Induced Technological Change in Canadian Agriculture Field Crops - Canola and Wheat: 1926-2003","year":2005,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Canola; Cointegration; Production (economics); Agriculture; Economics; Constant elasticity of substitution; Substitution (logic); Granger causality; Econometrics; Agricultural economics; Agronomy; Elasticity of substitution; Geography; Microeconomics; Biology","score_opus":0.053187147806216264,"score_gpt":0.21791883369459428,"score_spread":0.164731685888378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151825750","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":[0.92857784,0.001404362,0.0005426135,0.0005881667,0.000026826436,0.000043548956,0.058156885,0.000082245846,0.0105775],"genre_scores_gemma":[0.9640127,0.0012014465,0.00059011317,0.00005034307,0.000013408728,0.000018305705,0.028039012,0.00001332945,0.006061358],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960333,0.000013675044,0.000014726721,0.000064258806,0.00020117652,0.00010280531],"domain_scores_gemma":[0.99825114,0.00013388172,0.0002490757,0.00010763671,0.0011393803,0.00011882809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006177005,0.0003657997,0.00031353542,0.0025054011,0.0010590764,0.0010364155,0.00053137797,0.00027083914,0.0021509132],"category_scores_gemma":[0.0028796936,0.00013860362,0.00043041346,0.006756164,0.00042106866,0.00030000994,0.00044815688,0.00041044966,0.00026791313],"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":[0.000552842,0.00012230137,0.8466603,0.0003452392,0.00035001172,0.0005930688,0.0022896787,0.018208409,0.002401024,0.0055751954,0.026020074,0.096881814],"study_design_scores_gemma":[0.000006208123,0.0000073662004,0.9842531,0.000014051166,0.000023095736,0.000042317093,0.00024521182,0.00151321,0.00046414512,0.00011834893,0.013296098,0.000016837987],"about_ca_topic_score_codex":0.9939074,"about_ca_topic_score_gemma":0.9967801,"teacher_disagreement_score":0.033708103,"about_ca_system_score_codex":0.033708103,"about_ca_system_score_gemma":0.018187558,"threshold_uncertainty_score":0.24457055},"labels":[],"label_agreement":null},{"id":"W2153136367","doi":"","title":"Lessons for Canada from International Productivity Experience","year":2006,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Multifactor productivity; Perspective (graphical); Regional science; Economic growth; International trade; Total factor productivity; Geography","score_opus":0.03028454112393136,"score_gpt":0.2429041295443122,"score_spread":0.21261958842038084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153136367","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1742273,0.014055119,0.0012145932,0.47861454,0.0014554297,0.000074964955,0.0030447112,0.00016387817,0.32714954],"genre_scores_gemma":[0.86180454,0.02452484,0.0021302726,0.040876783,0.00040082846,0.000052870437,0.0017287566,0.00012873672,0.06835229],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99502784,0.0004484849,0.00013402387,0.00024726128,0.0016135036,0.00252884],"domain_scores_gemma":[0.99161166,0.0007874626,0.00024154839,0.00021289877,0.004266129,0.0028803817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00360298,0.00038875634,0.00044793627,0.0022085127,0.008995498,0.007969196,0.0010399166,0.0015607309,0.010093474],"category_scores_gemma":[0.008063265,0.00018642511,0.00048263435,0.0069910823,0.0033019423,0.003262865,0.0033549564,0.0044168453,0.00082645443],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029022899,0.00021862332,0.04914648,0.00034831066,0.00006058227,0.0027921034,0.028435731,0.0019864645,0.00069345196,0.24641874,0.4885964,0.1810128],"study_design_scores_gemma":[0.000039919476,0.0000680406,0.036702685,0.0006064896,0.000044568103,0.00049413263,0.05961191,0.0005728525,0.00060791295,0.014181258,0.88694483,0.00012538391],"about_ca_topic_score_codex":0.9790522,"about_ca_topic_score_gemma":0.98469895,"teacher_disagreement_score":0.93078315,"about_ca_system_score_codex":0.06921682,"about_ca_system_score_gemma":0.13897961,"threshold_uncertainty_score":0.5022055},"labels":[],"label_agreement":null},{"id":"W2153398045","doi":"10.1016/s1094-2025(03)00009-7","title":"Intergenerational time transfers and childcare","year":2003,"lang":"en","type":"article","venue":"Review of Economic Dynamics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":94,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Université Laval","keywords":"Subsidy; Overlapping generations model; Economics; Child care; Labour economics; Capital (architecture); Human capital; Demographic economics; Economic growth; Market economy; Medicine","score_opus":0.012051240464520017,"score_gpt":0.20432966129652927,"score_spread":0.19227842083200924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153398045","genre_codex":"review","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":[0.009105927,0.9715909,0.0019205894,0.009375228,0.00044060565,0.000004969008,0.00018005655,0.000006748705,0.0073749223],"genre_scores_gemma":[0.035079937,0.96141803,0.0002983714,0.00036104833,0.0007600906,0.000005745826,0.00010230746,0.000003966656,0.0019704658],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99980146,0.00007887536,0.000013122996,0.00003074591,0.00004707245,0.00002880103],"domain_scores_gemma":[0.99828184,0.0011381707,0.00024456723,0.000052268293,0.000201852,0.00008132863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007733657,0.0003979328,0.0005450984,0.0015903088,0.00028735911,0.001476755,0.0005005181,0.0010388354,0.0042592315],"category_scores_gemma":[0.003883353,0.0002036055,0.00027237993,0.005345109,0.0012688007,0.0017958217,0.0006419218,0.0015472833,0.0005911636],"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":[0.00014505802,0.00016235736,0.023526967,0.0018809435,0.000238651,0.0003078264,0.00049213,0.006358419,0.00022910236,0.27088818,0.031614587,0.6641558],"study_design_scores_gemma":[0.000041822575,0.00010395052,0.11118853,0.0042601503,0.00029012994,0.0012164266,0.001540045,0.0024899496,0.0002988019,0.38853607,0.48997134,0.0000627675],"about_ca_topic_score_codex":0.008001722,"about_ca_topic_score_gemma":0.008259801,"teacher_disagreement_score":0.008001722,"about_ca_system_score_codex":0.0012778947,"about_ca_system_score_gemma":0.001100024,"threshold_uncertainty_score":0.015910268},"labels":[],"label_agreement":null},{"id":"W2153956790","doi":"10.5539/mas.v4n11p143","title":"Information Technology and the European Productivity Revival","year":2010,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Information and Communications Technology; Chart; Economics; Demographic economics; Agricultural economics; Labour economics; Statistics; Computer science; Mathematics; Economic growth","score_opus":0.011415960975592873,"score_gpt":0.18141198893423152,"score_spread":0.16999602795863866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153956790","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":[0.9187234,0.012759692,0.0028186876,0.0021627545,0.00016283928,0.00002433325,0.0042776903,0.00013815521,0.058932427],"genre_scores_gemma":[0.9936208,0.0016270941,0.00034697042,0.0001256863,0.00006864693,0.000011196828,0.0021419656,0.000016196173,0.0020413871],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99813473,0.0003855695,0.00017572354,0.00040695738,0.00043647937,0.0004605777],"domain_scores_gemma":[0.99260956,0.0020100896,0.0031418018,0.0008319192,0.0010229273,0.00038356922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003964448,0.000399571,0.00053919636,0.006657402,0.00045577163,0.0037808265,0.00049183035,0.0006186668,0.0032607596],"category_scores_gemma":[0.009571357,0.00012993105,0.0008262312,0.011374212,0.0011020451,0.0021024805,0.0016036974,0.0010552815,0.00080485403],"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":[0.0009908944,0.00029190493,0.58368915,0.00064180326,0.0006211984,0.0014904374,0.0032321888,0.016900592,0.0013044847,0.11435253,0.028796196,0.24768868],"study_design_scores_gemma":[0.000063183455,0.00023058534,0.87558746,0.00032252446,0.00015604252,0.0005819309,0.0018649568,0.004532632,0.0020845432,0.009608552,0.10490932,0.00005831234],"about_ca_topic_score_codex":0.0073839147,"about_ca_topic_score_gemma":0.0026999433,"teacher_disagreement_score":0.0073839147,"about_ca_system_score_codex":0.0017953713,"about_ca_system_score_gemma":0.00060924486,"threshold_uncertainty_score":0.020966291},"labels":[],"label_agreement":null},{"id":"W2154096080","doi":"10.1017/s0008423908080086","title":"Canadian Regional Development: The Quest for Convergence","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Political Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"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":"Lagging; Convergence (economics); Context (archaeology); Political science; Welfare economics; Economy; Geography; Economics; Economic growth; Mathematics","score_opus":0.06380273253342637,"score_gpt":0.22354089432847843,"score_spread":0.15973816179505207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154096080","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":[0.13271612,0.03445552,0.029121732,0.11414728,0.00058689533,0.00011441672,0.0015700286,0.00018131148,0.68710667],"genre_scores_gemma":[0.9679096,0.008885179,0.008036382,0.0014160889,0.000080824364,0.000030635252,0.00023286618,0.00003535568,0.01337326],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99525636,0.0010560346,0.0001226288,0.0006234355,0.001888676,0.0010528098],"domain_scores_gemma":[0.9951197,0.0008743104,0.00025738432,0.0002874919,0.003146686,0.0003143911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037824071,0.0003712214,0.0006036639,0.004106127,0.006418036,0.005518813,0.0011685137,0.0008487421,0.005087618],"category_scores_gemma":[0.01221752,0.00022687609,0.0005326579,0.007711864,0.008588291,0.0032088996,0.0029735477,0.0017043679,0.0002267219],"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":[0.000018372757,0.000004330638,0.009349131,0.00014958151,0.000027423015,0.000094193165,0.004575684,0.0026171159,0.00006877998,0.93866503,0.005732116,0.03869824],"study_design_scores_gemma":[0.000030936368,0.000037973103,0.066954136,0.0012218704,0.0001224491,0.00024146786,0.026208328,0.009197183,0.0005249641,0.42952165,0.4658321,0.00010696428],"about_ca_topic_score_codex":0.9682606,"about_ca_topic_score_gemma":0.9702572,"teacher_disagreement_score":0.0816112,"about_ca_system_score_codex":0.0816112,"about_ca_system_score_gemma":0.0911376,"threshold_uncertainty_score":0.5921335},"labels":[],"label_agreement":null},{"id":"W2154336804","doi":"10.1111/j.1475-4991.2010.00398.x","title":"NEW METHODOLOGICAL DEVELOPMENTS FOR THE INTERNATIONAL COMPARISON PROGRAM","year":2010,"lang":"en","type":"article","venue":"Review of Income and Wealth","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Index (typography); Product (mathematics); Economics; Price index; Geography; Econometrics; International economics; Mathematics; Computer science","score_opus":0.14516857247734208,"score_gpt":0.37696925663680336,"score_spread":0.23180068415946128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154336804","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":[0.002997771,0.0070034913,0.9247957,0.008394721,0.0036944614,0.0016671953,0.001011672,0.00026069052,0.050174333],"genre_scores_gemma":[0.053672507,0.0044988343,0.90791905,0.0038726015,0.0026398925,0.017552707,0.0012461629,0.0006209057,0.007977356],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.70313954,0.25829268,0.010047567,0.011989116,0.014774956,0.0017561328],"domain_scores_gemma":[0.7473078,0.16408321,0.011881904,0.04799085,0.026992008,0.0017442936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.15733087,0.0016055432,0.0018683402,0.009514977,0.003753302,0.009984621,0.0043977047,0.0026941947,0.018940227],"category_scores_gemma":[0.2751637,0.0011192983,0.002431823,0.024766153,0.009367286,0.014149586,0.011376668,0.010325014,0.002741398],"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":[0.00007120103,0.000056330453,0.0014329301,0.0006291405,0.00018212556,0.00007805888,0.0015543752,0.0008679805,0.00008414957,0.91805154,0.010878741,0.0661134],"study_design_scores_gemma":[0.00007671076,0.00012971618,0.0026668345,0.0010827953,0.00009768602,0.00014463102,0.0014329182,0.002990762,0.00037213461,0.7252338,0.26571572,0.000056333047],"about_ca_topic_score_codex":0.00318304,"about_ca_topic_score_gemma":0.0026060531,"teacher_disagreement_score":0.15733087,"about_ca_system_score_codex":0.0050595305,"about_ca_system_score_gemma":0.008573322,"threshold_uncertainty_score":0.8320551},"labels":[],"label_agreement":null},{"id":"W2154391415","doi":"","title":"Progress in Service Sector Productivity Measurement: Review Article on \"Productivity in the U.S. Services Sector: New Sources of Economic Growth\"","year":2005,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Tertiary sector of the economy; Service (business); Institution; Public economics; Macroeconomics; Economy; Social science; Sociology","score_opus":0.04459144590374463,"score_gpt":0.250111537403328,"score_spread":0.20552009149958334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154391415","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004838306,0.9244177,0.0018273608,0.035405394,0.026286073,0.000017624554,0.00019751002,0.00007451913,0.011289971],"genre_scores_gemma":[0.0032131653,0.966943,0.0010568728,0.0050165746,0.012947753,0.000020165151,0.00026117766,0.000045806708,0.010495405],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998262,0.00034067908,0.00013373859,0.00014982512,0.0010238786,0.00008983967],"domain_scores_gemma":[0.9929041,0.0026394266,0.0005209405,0.00009352775,0.0035874504,0.0002545111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024234774,0.0009505194,0.0012849927,0.0046665086,0.00050200213,0.002694328,0.0009947697,0.0016910599,0.009244985],"category_scores_gemma":[0.009186616,0.00033634462,0.0005105053,0.014559115,0.0012241027,0.003515258,0.0009464578,0.0020230524,0.0058364873],"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":[0.000016660899,0.000017376586,0.0003919399,0.0024300644,0.000020668982,0.000031890584,0.00009836416,0.00014626197,0.00020829731,0.004751074,0.7179737,0.2739137],"study_design_scores_gemma":[0.000007203073,0.00003091877,0.0021648733,0.0024769765,0.000029530655,0.00021425786,0.0001877062,0.000121860015,0.00029558453,0.0034653828,0.99098927,0.000016523541],"about_ca_topic_score_codex":0.0082258135,"about_ca_topic_score_gemma":0.010699283,"teacher_disagreement_score":0.009244985,"about_ca_system_score_codex":0.0021489167,"about_ca_system_score_gemma":0.0045618764,"threshold_uncertainty_score":0.030927539},"labels":[],"label_agreement":null},{"id":"W2154626811","doi":"10.1111/j.1540-5982.2011.01687.x","title":"Dynamic gravity: endogenous country size and asset accumulation","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":319,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Gravity model of trade; Panel data; Asset (computer security); Econometrics; Economics; Estimation; Computer science; Macroeconomics","score_opus":0.16729288064016626,"score_gpt":0.19633571255309945,"score_spread":0.029042831912933192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154626811","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":[0.7661716,0.002762512,0.1719775,0.008672256,0.0001694334,0.000077859244,0.0018570822,0.00048099502,0.047830824],"genre_scores_gemma":[0.9959109,0.0004830212,0.0016759466,0.00008945115,0.000031872016,0.000010366993,0.00015449611,0.000014438953,0.0016295593],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993887,0.00027531048,0.00002517618,0.00013074596,0.00006815771,0.0001118976],"domain_scores_gemma":[0.9937874,0.0031864122,0.0016146495,0.00060556986,0.0004587926,0.00034713818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019488939,0.00030747033,0.00060210703,0.0013866593,0.00043464603,0.0023337377,0.00066270726,0.0008660182,0.0050881146],"category_scores_gemma":[0.009805936,0.00025473256,0.00048903015,0.0027882487,0.0020960085,0.0019488605,0.00148174,0.00091137673,0.00033966312],"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":[0.000079839825,0.000056514476,0.11728449,0.000105975254,0.00024117844,0.00050951337,0.00025705734,0.2588677,0.00081465405,0.5833025,0.007822067,0.030658554],"study_design_scores_gemma":[0.000034716955,0.00008223049,0.051910713,0.00011562488,0.00015529721,0.00024036072,0.00044384965,0.37587819,0.0008642891,0.5598528,0.01035439,0.00006769871],"about_ca_topic_score_codex":0.010416411,"about_ca_topic_score_gemma":0.0057291547,"teacher_disagreement_score":0.010416411,"about_ca_system_score_codex":0.0013301643,"about_ca_system_score_gemma":0.0009457402,"threshold_uncertainty_score":0.0207116},"labels":[],"label_agreement":null},{"id":"W2154665645","doi":"10.1016/j.jmacro.2013.06.006","title":"Non-monotonicity of fertility in human capital accumulation and economic growth","year":2013,"lang":"en","type":"article","venue":"Journal of Macroeconomics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":23,"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","funders":"","keywords":"Economics; Fertility; Per capita; Human capital; Investment (military); Monotonic function; Total fertility rate; Capital (architecture); Econometrics; Monetary economics; Labour economics; Population; Mathematics; Economic growth; Demography; Research methodology; Family planning; Geography","score_opus":0.02354775178989868,"score_gpt":0.2422743817280496,"score_spread":0.21872662993815092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154665645","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":[0.9187063,0.0043882383,0.04766776,0.008809365,0.0001036603,0.00007322259,0.0013513169,0.00016665662,0.018733433],"genre_scores_gemma":[0.99212235,0.0010669156,0.003251429,0.00033525855,0.00008428789,0.000032032676,0.00017347677,0.000026329417,0.0029078573],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99857235,0.0006531037,0.00010553645,0.00026861997,0.000102917824,0.00029731763],"domain_scores_gemma":[0.9349412,0.05362148,0.0060850186,0.0021572884,0.0018107779,0.0013842077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006854738,0.00032829022,0.001823178,0.00089523295,0.00077559607,0.0022636522,0.0013892495,0.0017194508,0.009329696],"category_scores_gemma":[0.04564403,0.0008472488,0.00097102823,0.0010334733,0.0034271423,0.00434379,0.0014925211,0.0025799212,0.0006100243],"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":[0.0007444868,0.00028278478,0.23248936,0.00069993915,0.00041935212,0.0016905516,0.0019296453,0.06428906,0.002851488,0.6356664,0.0041706306,0.054766435],"study_design_scores_gemma":[0.00012714382,0.00021972338,0.119206496,0.00025452045,0.00019227185,0.0016463004,0.0016829281,0.09120084,0.0015024636,0.7790596,0.004803259,0.00010440398],"about_ca_topic_score_codex":0.0068392972,"about_ca_topic_score_gemma":0.0068987566,"teacher_disagreement_score":0.009329696,"about_ca_system_score_codex":0.0015474256,"about_ca_system_score_gemma":0.0019381874,"threshold_uncertainty_score":0.036251783},"labels":[],"label_agreement":null},{"id":"W2154966393","doi":"","title":"The efficiency of educational production: A comparison of Denmark with other OECD countries","year":2014,"lang":"en","type":"book","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"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":"Earnings; Graduation (instrument); Demographic economics; Economics; Accounting; Engineering","score_opus":0.029005906456147985,"score_gpt":0.27989097242757155,"score_spread":0.25088506597142357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154966393","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":[0.92532295,0.009605667,0.0011680172,0.00026437305,0.000049007092,0.000041615902,0.0044740094,0.000036539248,0.059037864],"genre_scores_gemma":[0.99465746,0.0020975482,0.00041118593,0.000025875277,0.0000125252045,0.000009225269,0.001836305,0.000017454106,0.0009323481],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99779713,0.0003982253,0.000350526,0.000306974,0.000719423,0.00042773847],"domain_scores_gemma":[0.9941104,0.0018138319,0.0019322203,0.00041303274,0.0013294523,0.0004010515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003101765,0.00032302912,0.00068383827,0.0068081124,0.00065002614,0.003752491,0.0004094232,0.00033921574,0.0012043071],"category_scores_gemma":[0.005095777,0.00018008311,0.00089441705,0.005433049,0.00072177185,0.0008413827,0.0019971507,0.00025920643,0.00027744894],"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":[0.00095742417,0.00016265264,0.8585993,0.0016363119,0.0015493692,0.0012095545,0.0026720096,0.029502003,0.0014665901,0.036811322,0.0028646365,0.062568784],"study_design_scores_gemma":[0.000033349475,0.00010227437,0.97460407,0.00037046,0.00019350306,0.00024345993,0.0024979583,0.0014581832,0.0010210552,0.0010530932,0.018387744,0.00003494085],"about_ca_topic_score_codex":0.027721692,"about_ca_topic_score_gemma":0.014967649,"teacher_disagreement_score":0.027721692,"about_ca_system_score_codex":0.002374886,"about_ca_system_score_gemma":0.0013891575,"threshold_uncertainty_score":0.055120707},"labels":[],"label_agreement":null},{"id":"W2155675916","doi":"10.1111/1467-9442.t01-2-00006","title":"Mortality and Early Growth in England, France and Sweden","year":2003,"lang":"en","type":"article","venue":"Scandinavian Journal of Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Economics; Volatility (finance); Fertility; Mortality rate; Industrial Revolution; Econometrics; Demography; Geography; Population; Sociology","score_opus":0.03488872751270487,"score_gpt":0.22062329101069572,"score_spread":0.18573456349799083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155675916","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":[0.9947001,0.00078710547,0.0010156132,0.0011533692,0.000015900207,0.000004489725,0.00067096186,0.000026070556,0.0016265245],"genre_scores_gemma":[0.9983968,0.00023493165,0.00012255766,0.000032075,0.000009724263,0.0000046774253,0.0005076816,0.0000049284586,0.00068666943],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996364,0.00016073654,0.000018288916,0.000046224977,0.00004695699,0.0000914622],"domain_scores_gemma":[0.9981104,0.0008710713,0.00048709393,0.00006563632,0.00029375005,0.0001720171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013755857,0.00028067862,0.000539247,0.00096018997,0.0003984071,0.0016449969,0.0004808474,0.0005993893,0.001417888],"category_scores_gemma":[0.0032241065,0.00016614236,0.00038404815,0.0006783886,0.00054290844,0.0005904014,0.0008860214,0.00067709124,0.00017513416],"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":[0.0008736738,0.00023763506,0.5174126,0.00016104482,0.00027271485,0.0022715477,0.0028717192,0.38554603,0.0012968039,0.06025997,0.006084148,0.022712134],"study_design_scores_gemma":[0.00043735566,0.00041412876,0.65714353,0.00036141629,0.00017593602,0.00062499987,0.0029547338,0.2838893,0.0018876196,0.031177955,0.020749222,0.00018384226],"about_ca_topic_score_codex":0.13198745,"about_ca_topic_score_gemma":0.06374458,"teacher_disagreement_score":0.13198745,"about_ca_system_score_codex":0.0026699202,"about_ca_system_score_gemma":0.00088960223,"threshold_uncertainty_score":0.26243842},"labels":[],"label_agreement":null},{"id":"W2156387721","doi":"10.1080/00036846.2010.491465","title":"The impact of trade liberalization and the fiscal equalization transfer policy on provincial income disparities in Canada: an application of GMM estimation","year":2011,"lang":"en","type":"article","venue":"Applied Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Economics; Convergence (economics); Estimation; Estimator; Generalized method of moments; Econometrics; Panel data; Liberalization; Equalization (audio); Macroeconomics; Statistics; Mathematics","score_opus":0.018702777904673635,"score_gpt":0.20649228798249164,"score_spread":0.187789510077818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156387721","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":[0.98400843,0.0011356793,0.003949449,0.0024838967,0.00004520189,0.000067996,0.0025413507,0.00009291159,0.0056751296],"genre_scores_gemma":[0.9948002,0.00053899246,0.0021631122,0.000080118276,0.0000095245805,0.000017416252,0.00089189375,0.000011047905,0.0014876659],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979552,0.00057210453,0.00006845076,0.00024085134,0.0004242597,0.00073915895],"domain_scores_gemma":[0.9967283,0.0015282443,0.0005038548,0.00013057014,0.00081982906,0.0002891046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00317162,0.0004451507,0.00093136344,0.0016596611,0.0017888807,0.0014152958,0.0009405791,0.0004839662,0.0018970158],"category_scores_gemma":[0.009349975,0.0002504519,0.0012384775,0.0032492497,0.00082030444,0.0006253413,0.0014883796,0.0012901593,0.0000978997],"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":[0.0002594564,0.00010467531,0.85572875,0.00011399116,0.0005537958,0.0003692595,0.0016362164,0.06546351,0.00043321264,0.023249134,0.0049756565,0.047112275],"study_design_scores_gemma":[0.000054744323,0.00010298507,0.8085474,0.00008517723,0.00048641485,0.00005628298,0.0043436848,0.173275,0.0009923828,0.0044639534,0.007518858,0.000073185474],"about_ca_topic_score_codex":0.9924189,"about_ca_topic_score_gemma":0.9882151,"teacher_disagreement_score":0.0237927,"about_ca_system_score_codex":0.0237927,"about_ca_system_score_gemma":0.047342014,"threshold_uncertainty_score":0.17262894},"labels":[],"label_agreement":null},{"id":"W2156667082","doi":"10.2139/ssrn.2403824","title":"Capital Labor Substitution, Structural Change, and the Labor Income Share","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Substitution (logic); Labour economics; Economics; Capital (architecture); Structural change; Labor relations; Market economy","score_opus":0.012415131324449146,"score_gpt":0.1967149274024932,"score_spread":0.18429979607804403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156667082","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":[0.98247933,0.00046622183,0.005519661,0.00095420046,0.000016720272,0.000011264774,0.00025278554,0.000022612778,0.010277217],"genre_scores_gemma":[0.9977596,0.00015973186,0.00020278533,0.000020490066,0.000020142947,0.000003514133,0.00007500818,0.0000042046836,0.0017544965],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997861,0.000059399288,0.000013764209,0.00004003396,0.00003077236,0.00006999848],"domain_scores_gemma":[0.99764144,0.0012884134,0.00055696577,0.00019831082,0.000097234,0.00021759918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007703024,0.00023552534,0.00031378632,0.0006181019,0.00046131684,0.0012437286,0.00041111987,0.00063977466,0.009361447],"category_scores_gemma":[0.0034628247,0.00011697499,0.0003105966,0.0010660829,0.0011973942,0.0018118608,0.0005923886,0.00046358735,0.0005745799],"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":[0.0011591075,0.00035230597,0.45509994,0.00013822912,0.00019295463,0.0012523289,0.0023948138,0.0655252,0.0055992226,0.39507642,0.0033982128,0.0698113],"study_design_scores_gemma":[0.00008577112,0.00025281523,0.35538158,0.000063242696,0.0000995046,0.00074896356,0.0031902627,0.075941674,0.002664423,0.5538287,0.00769606,0.000047006364],"about_ca_topic_score_codex":0.0032656188,"about_ca_topic_score_gemma":0.0036503563,"teacher_disagreement_score":0.009361447,"about_ca_system_score_codex":0.00084293267,"about_ca_system_score_gemma":0.0005108431,"threshold_uncertainty_score":0.031317174},"labels":[],"label_agreement":null},{"id":"W2156789458","doi":"10.1162/asep.2009.8.2.85","title":"The Economic Consequence of Labor Mobility in China's Regional Development","year":2009,"lang":"en","type":"article","venue":"Asian Economic Papers","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Economics; China; Labor mobility; Stock (firearms); Per capita income; Convergence (economics); Human capital; Context (archaeology); Capital (architecture); Economic geography; Labour economics; Per capita; Productivity; Demographic economics; Geography; Economic growth; Population","score_opus":0.01502952169267051,"score_gpt":0.20789941725291045,"score_spread":0.19286989556023992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156789458","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":[0.9966679,0.00017351701,0.00012978274,0.00039455038,0.0000030063538,0.0000038909116,0.00007464739,0.0000031650752,0.0025495258],"genre_scores_gemma":[0.99970955,0.00007046086,0.00003162793,0.000009915337,0.0000029775185,0.0000012910393,0.0000249686,3.661871e-7,0.00014889234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997811,0.00003878718,0.000013035429,0.0000287983,0.000032929995,0.00010546646],"domain_scores_gemma":[0.9994735,0.00006648112,0.0002512081,0.000032577103,0.00008859286,0.000087634064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034859878,0.00009908629,0.00014740771,0.0007941675,0.00056862086,0.00077788695,0.00022542085,0.00021029956,0.0016742758],"category_scores_gemma":[0.0012170109,0.00006632987,0.00026970662,0.0011748032,0.00074092665,0.00059420266,0.0009789277,0.00027760823,0.000094245144],"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":[0.00010600301,0.000025711022,0.95730335,0.00004708101,0.000050257328,0.0019465281,0.002405181,0.004116978,0.0016053384,0.015081692,0.0007097511,0.016602209],"study_design_scores_gemma":[0.0000068187114,0.00002101904,0.991338,0.000017710798,0.00002183732,0.0001635628,0.0023094742,0.0018833155,0.00024573875,0.0023496596,0.0016343712,0.00000846659],"about_ca_topic_score_codex":0.028280845,"about_ca_topic_score_gemma":0.040601358,"teacher_disagreement_score":0.028280845,"about_ca_system_score_codex":0.0017458069,"about_ca_system_score_gemma":0.0009902518,"threshold_uncertainty_score":0.056232512},"labels":[],"label_agreement":null},{"id":"W2157217027","doi":"","title":"Lessons for Canada from the U.S. Growth Resurgence","year":2003,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Development economics; Keynesian economics","score_opus":0.05555747039817593,"score_gpt":0.2712624315037748,"score_spread":0.2157049611055989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157217027","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":[0.0048265685,0.011643628,0.00021431415,0.94781005,0.0015662356,0.000009480381,0.00071965496,0.000037722024,0.033172343],"genre_scores_gemma":[0.25855914,0.08242914,0.0023968946,0.57924044,0.003180728,0.00004933363,0.0011724322,0.00013137356,0.072840475],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99615866,0.0003394457,0.00010823618,0.00030427353,0.0016014703,0.0014880248],"domain_scores_gemma":[0.9889916,0.001662293,0.00032008076,0.0002631095,0.0064270934,0.0023359114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033729896,0.00055770436,0.0007798203,0.0021334419,0.013063571,0.008594236,0.0017356633,0.0060363538,0.009180247],"category_scores_gemma":[0.011385037,0.00022260347,0.0008493011,0.0043954593,0.0061873724,0.004196449,0.0022263858,0.009145795,0.0011876684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009003685,0.000024808161,0.0053388327,0.00016217394,0.000026780464,0.00045635135,0.0021150643,0.0004933648,0.00015848881,0.15419923,0.78880054,0.048134256],"study_design_scores_gemma":[0.000057505993,0.000028936962,0.015615815,0.00088884466,0.000077522236,0.00018631126,0.011948371,0.000604372,0.00033897863,0.055810183,0.9143138,0.00012946947],"about_ca_topic_score_codex":0.99104905,"about_ca_topic_score_gemma":0.99566865,"teacher_disagreement_score":0.9182798,"about_ca_system_score_codex":0.081720166,"about_ca_system_score_gemma":0.20483276,"threshold_uncertainty_score":0.5929241},"labels":[],"label_agreement":null},{"id":"W2158010112","doi":"","title":"Canada's Investments in Science and Innovation: Is the Existing Concept of Research and Development Sufficient?","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Investment (military); Capital expenditure; Economics; Capital investment; Public economics; Finance; Political science","score_opus":0.07047537584244652,"score_gpt":0.28388362994342814,"score_spread":0.21340825410098163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158010112","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0668817,0.054884758,0.009675711,0.45113093,0.0023265919,0.00013078326,0.008071725,0.00025281432,0.40664506],"genre_scores_gemma":[0.8844496,0.05352641,0.011457613,0.01866238,0.00092523335,0.00012171705,0.0026736846,0.00009619019,0.028087206],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99083287,0.0006498117,0.0002797696,0.0005649987,0.0062785,0.0013939813],"domain_scores_gemma":[0.9874455,0.0017957711,0.0011521154,0.00046817306,0.0073452718,0.0017931939],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0036607906,0.0006407483,0.0009853644,0.0066587394,0.006422449,0.011960291,0.001905048,0.0018454083,0.0030606452],"category_scores_gemma":[0.015277203,0.00022850624,0.0005855977,0.013047137,0.0102728335,0.005268824,0.0026885173,0.0028881498,0.00037076266],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008173169,0.000041811716,0.027410444,0.00068883924,0.000069336806,0.00016437373,0.0021782974,0.001179797,0.00018218787,0.7832734,0.07509486,0.10963494],"study_design_scores_gemma":[0.00003383064,0.00003609326,0.08983452,0.002046548,0.00017622663,0.0001729157,0.0059068995,0.0043540276,0.0004010416,0.14729887,0.7495371,0.00020193098],"about_ca_topic_score_codex":0.9775955,"about_ca_topic_score_gemma":0.9841383,"teacher_disagreement_score":0.9963392,"about_ca_system_score_codex":0.10287563,"about_ca_system_score_gemma":0.1701906,"threshold_uncertainty_score":0.7464184},"labels":[],"label_agreement":null},{"id":"W2158220466","doi":"10.1016/j.euroecorev.2007.02.003","title":"Growth outside the stable path: Lessons from the European reconstruction","year":2007,"lang":"en","type":"article","venue":"European Economic Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Universidade Nova de Lisboa; Universitat de Barcelona; Universidade de Lisboa","keywords":"Path (computing); Economics; Keynesian economics; Mathematical economics; Economic geography; Computer science","score_opus":0.05496385511970519,"score_gpt":0.23360713614603848,"score_spread":0.17864328102633328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158220466","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":[0.30144098,0.21274774,0.017652873,0.23333235,0.002236697,0.0000403018,0.0007620774,0.000120419965,0.23166656],"genre_scores_gemma":[0.9345643,0.05509054,0.0013738723,0.0025817447,0.00060318335,0.000012368966,0.00023803265,0.0000556677,0.005480275],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991048,0.00028713397,0.000057492,0.00012959965,0.0001669583,0.00025392004],"domain_scores_gemma":[0.9973966,0.0010360846,0.0003183731,0.0003110846,0.00072347064,0.00021433426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042243907,0.00037996765,0.0008901458,0.0015457798,0.0009936786,0.004982293,0.00067221443,0.0019279903,0.0035242492],"category_scores_gemma":[0.012358244,0.00013753078,0.00049137726,0.0039336374,0.004285011,0.0056960415,0.0020518007,0.0024277442,0.00032497605],"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":[0.00024298225,0.00003440317,0.003473941,0.00014207659,0.000054560347,0.00017355554,0.00044287063,0.004638435,0.00006295641,0.8501139,0.010007865,0.13061245],"study_design_scores_gemma":[0.00006716273,0.000072080795,0.021826724,0.0007140778,0.00007092418,0.00021732517,0.0013573902,0.0041421605,0.0003807692,0.82100284,0.15011998,0.000028617944],"about_ca_topic_score_codex":0.013939879,"about_ca_topic_score_gemma":0.008409171,"teacher_disagreement_score":0.013939879,"about_ca_system_score_codex":0.002989787,"about_ca_system_score_gemma":0.0034493068,"threshold_uncertainty_score":0.027717471},"labels":[],"label_agreement":null},{"id":"W2158307618","doi":"","title":"On the Tang and Wang Decomposition of Labour Productivity Growth into Sectoral Effects","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Decomposition; Productivity; Economics; Labour economics; Macroeconomics; Chemistry","score_opus":0.02776421652824009,"score_gpt":0.27317472297567424,"score_spread":0.24541050644743415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158307618","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":[0.06766666,0.0064469036,0.8551242,0.003773533,0.00079750613,0.00019976175,0.0023095142,0.00031384703,0.06336809],"genre_scores_gemma":[0.7416421,0.012287209,0.17801009,0.0016429233,0.0010196862,0.00049882766,0.0027899106,0.00047919797,0.061629944],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999424,0.00018649218,0.00002710025,0.00012735758,0.00014070712,0.00009441937],"domain_scores_gemma":[0.99911124,0.00035747737,0.00009877818,0.000167508,0.00018900709,0.000075959084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021439458,0.001236422,0.00060537166,0.0018566577,0.0004207334,0.0015175721,0.00040026865,0.00044419954,0.006270969],"category_scores_gemma":[0.0033817093,0.00031149303,0.0017253393,0.002920963,0.0011343446,0.0018690136,0.0013962907,0.0018989833,0.0011732973],"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":[0.0001537024,0.00007018699,0.005599318,0.00027428105,0.00015071085,0.00024167159,0.00053970725,0.05154508,0.0034572508,0.8123066,0.013226811,0.11243466],"study_design_scores_gemma":[0.000056883793,0.0000778713,0.00895128,0.00018502098,0.00015251157,0.00011187158,0.00012993715,0.11474908,0.0022017595,0.8359696,0.037355017,0.000059223115],"about_ca_topic_score_codex":0.005954331,"about_ca_topic_score_gemma":0.003486375,"teacher_disagreement_score":0.006270969,"about_ca_system_score_codex":0.0017286851,"about_ca_system_score_gemma":0.001093518,"threshold_uncertainty_score":0.02097851},"labels":[],"label_agreement":null},{"id":"W2158807214","doi":"10.2139/ssrn.2369827","title":"Decreasing Returns, Patent Licensing and Price-Reducing Taxes","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","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":"Toronto Metropolitan University","funders":"","keywords":"Economics; Monetary economics; Business","score_opus":0.022732090957422013,"score_gpt":0.18963378821472374,"score_spread":0.16690169725730172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158807214","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":[0.84994966,0.008640472,0.04475228,0.011069775,0.00018311993,0.000088536406,0.0005117021,0.0005389662,0.084265605],"genre_scores_gemma":[0.9810792,0.002389403,0.0011274697,0.00025457254,0.00027931662,0.000015160907,0.00007679273,0.000035786157,0.014742208],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99908614,0.00023333977,0.000075228054,0.00015084827,0.00012399048,0.00033039888],"domain_scores_gemma":[0.9728643,0.015614631,0.0077208797,0.0013465396,0.0010678541,0.0013857265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021181088,0.00062075263,0.0018243688,0.0020824417,0.0010980875,0.004892655,0.0013698224,0.0030633206,0.018350042],"category_scores_gemma":[0.030661393,0.00044256556,0.001231047,0.00212234,0.004132616,0.0060437396,0.0013647303,0.0030786404,0.0009807098],"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":[0.00080062926,0.00053031155,0.012221039,0.000468718,0.00012300884,0.001024441,0.00041227075,0.022187354,0.0022202542,0.90074205,0.0062341504,0.05303567],"study_design_scores_gemma":[0.00019138273,0.00015703353,0.007706533,0.000042628184,0.00015530337,0.00049415807,0.0003419124,0.020259693,0.00089046784,0.9665409,0.0031842643,0.000035750993],"about_ca_topic_score_codex":0.007935419,"about_ca_topic_score_gemma":0.005360143,"teacher_disagreement_score":0.018350042,"about_ca_system_score_codex":0.002474795,"about_ca_system_score_gemma":0.0021095835,"threshold_uncertainty_score":0.061387002},"labels":[],"label_agreement":null},{"id":"W2158893870","doi":"10.1162/jeea.2005.3.2-3.525","title":"The First Industrial Revolution: Resolving the Slow Growth/Rapid Industrialization Paradox","year":2005,"lang":"en","type":"article","venue":"Journal of the European Economic Association","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":48,"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":"Industrialisation; Industrial Revolution; Economics; Productivity; Technological change; Quarter (Canadian coin); Agriculture; Endogenous growth theory; Neoclassical economics; Technological revolution; Technical change; Macroeconomics; Market economy; Economy; Political science; Law; Human capital; History","score_opus":0.03165297507480085,"score_gpt":0.1932297160739474,"score_spread":0.16157674099914654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158893870","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":[0.4524163,0.16463448,0.01398448,0.18156287,0.001588019,0.00003117098,0.000362298,0.00021199681,0.1852083],"genre_scores_gemma":[0.9681542,0.020290393,0.001527216,0.0037919513,0.0008369678,0.000017845932,0.000111797875,0.00006665718,0.0052029067],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987436,0.00040025852,0.00004405652,0.0001507018,0.00036049302,0.00030089283],"domain_scores_gemma":[0.99590033,0.001976993,0.00094756426,0.00029810503,0.0006015929,0.00027551863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028203777,0.00031274013,0.00076672994,0.0024212177,0.0014222817,0.004372671,0.00060631573,0.0015149097,0.0017598949],"category_scores_gemma":[0.010031829,0.00019481964,0.00026772238,0.003754657,0.0039436286,0.003952215,0.0024403005,0.003581014,0.000415036],"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":[0.00029229154,0.00006272086,0.015572739,0.00069866853,0.00009008388,0.0006872656,0.004992719,0.0028571608,0.00056958466,0.8122135,0.026078112,0.1358851],"study_design_scores_gemma":[0.00011407668,0.000122040845,0.06798022,0.00074267085,0.00009161932,0.00067267293,0.0072863977,0.0059140516,0.0008224432,0.71491075,0.201265,0.0000780756],"about_ca_topic_score_codex":0.012488735,"about_ca_topic_score_gemma":0.014291368,"teacher_disagreement_score":0.012488735,"about_ca_system_score_codex":0.004041924,"about_ca_system_score_gemma":0.0019507572,"threshold_uncertainty_score":0.02932638},"labels":[],"label_agreement":null},{"id":"W2159879347","doi":"10.1017/s136510051000012x","title":"CAPITALIZING R&amp;D EXPENDITURES","year":2010,"lang":"en","type":"article","venue":"Macroeconomic Dynamics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada; University of British Columbia","funders":"","keywords":"Depreciation (economics); Obsolescence; Economics; Context (archaeology); Asset (computer security); Matching (statistics); Microeconomics; Computer science; Business; Marketing; Mathematics","score_opus":0.016772565775300785,"score_gpt":0.21731413956494186,"score_spread":0.20054157378964108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159879347","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":[0.14142896,0.004891189,0.16614576,0.0058790455,0.0014676779,0.0014665724,0.016150167,0.005077088,0.6574936],"genre_scores_gemma":[0.6710631,0.0071409056,0.08639479,0.00083856843,0.0008566128,0.0006953256,0.010517183,0.00064717286,0.22184631],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961797,0.0004181121,0.00020998888,0.00060034415,0.0018397538,0.00075213186],"domain_scores_gemma":[0.9924906,0.0016529105,0.0012945386,0.002229806,0.001777302,0.0005547278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022942973,0.0010754162,0.0007681462,0.0045373547,0.000859794,0.004807238,0.0014265955,0.0010443118,0.022577645],"category_scores_gemma":[0.012182662,0.0007046178,0.0013742646,0.0039700633,0.0007388896,0.003233211,0.0019018458,0.0017868732,0.009239986],"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":[0.00043752874,0.0004924436,0.016983982,0.00085169915,0.00030444362,0.00059666194,0.00043636697,0.044211004,0.015532703,0.25026572,0.061651964,0.60823554],"study_design_scores_gemma":[0.00013540195,0.00055541325,0.055698734,0.00037093958,0.00044747398,0.0015551553,0.000506544,0.020096244,0.03993517,0.09477037,0.78570664,0.00022204532],"about_ca_topic_score_codex":0.009589795,"about_ca_topic_score_gemma":0.008801544,"teacher_disagreement_score":0.022577645,"about_ca_system_score_codex":0.004744918,"about_ca_system_score_gemma":0.006985801,"threshold_uncertainty_score":0.075529754},"labels":[],"label_agreement":null},{"id":"W2160095678","doi":"10.7202/012846ar","title":"Les technologies de l’information et la productivité : situation actuelle et perspectives d’avenir","year":2006,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Political science","score_opus":0.026377006360859143,"score_gpt":0.23427815560120796,"score_spread":0.2079011492403488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160095678","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":[0.24756405,0.06070706,0.023460891,0.109808415,0.00051214936,0.000117676675,0.00053163257,0.00014524604,0.5571529],"genre_scores_gemma":[0.93970495,0.021003623,0.0042738365,0.0026787943,0.0003501425,0.00010566109,0.00015446875,0.00006637209,0.031662107],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9909759,0.0045312536,0.00030660973,0.0014083711,0.002003525,0.0007744221],"domain_scores_gemma":[0.9858234,0.009005148,0.0013987721,0.0007227306,0.0022876842,0.0007624196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009725696,0.0005798034,0.00047465833,0.0034836843,0.0047811703,0.017786728,0.0013245807,0.0048399703,0.012872106],"category_scores_gemma":[0.010393944,0.0005145096,0.00063459284,0.0049151005,0.010027113,0.017362667,0.003946507,0.0042702635,0.0019761794],"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":[0.00019580845,0.000108893844,0.009305723,0.0006297939,0.0000332685,0.00070622656,0.0955597,0.00087502634,0.0018244444,0.80081624,0.0065713394,0.08337341],"study_design_scores_gemma":[0.00002840392,0.00024714202,0.021763235,0.0012224485,0.000037284655,0.0007651259,0.12888683,0.0016726173,0.0023526275,0.12772901,0.71513367,0.0001616581],"about_ca_topic_score_codex":0.017188264,"about_ca_topic_score_gemma":0.012718894,"teacher_disagreement_score":0.017786728,"about_ca_system_score_codex":0.010751871,"about_ca_system_score_gemma":0.0054249745,"threshold_uncertainty_score":0.07801068},"labels":[],"label_agreement":null},{"id":"W2160819617","doi":"10.1257/mac.20130139","title":"Explaining the Evolution of Educational Attainment in the United States","year":2016,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Graduation (instrument); Human capital; Educational attainment; Cohort; Demographic economics; Investment (military); Economics; Cohort effect; Quality (philosophy); Psychology; Political science; Economic growth; Statistics; Mathematics","score_opus":0.014915503871634256,"score_gpt":0.2291369820204098,"score_spread":0.21422147814877554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160819617","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":[0.98893785,0.0006495998,0.002518269,0.001740962,0.00002743406,0.000009196782,0.001480594,0.00005136337,0.0045847245],"genre_scores_gemma":[0.9972716,0.00025209234,0.00036256594,0.00010308316,0.00001496941,0.0000052618475,0.00070186454,0.00001140493,0.0012770924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984276,0.00004604952,0.0000075476214,0.000040514307,0.000014772946,0.000048381564],"domain_scores_gemma":[0.9992956,0.00024833434,0.0002189763,0.000042467578,0.00009190834,0.00010266581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008166187,0.00023013802,0.00028121003,0.00093410956,0.0005006622,0.0014711336,0.00040665778,0.00070369843,0.0025560267],"category_scores_gemma":[0.0024460196,0.00024995883,0.00042417235,0.001146194,0.00033702992,0.00053945906,0.0007628207,0.00075386564,0.00045153566],"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":[0.00012239546,0.0001241388,0.7913126,0.00004777559,0.00014339588,0.0005170485,0.0008705774,0.1438385,0.000704385,0.028895747,0.0076193158,0.025804192],"study_design_scores_gemma":[0.000060067745,0.00009619408,0.70099324,0.00008451656,0.0000821017,0.000116549345,0.00088183465,0.2658082,0.0003681954,0.020227907,0.011220908,0.000060337934],"about_ca_topic_score_codex":0.13144957,"about_ca_topic_score_gemma":0.099961035,"teacher_disagreement_score":0.13144957,"about_ca_system_score_codex":0.0016594557,"about_ca_system_score_gemma":0.0007182002,"threshold_uncertainty_score":0.26136893},"labels":[],"label_agreement":null},{"id":"W2160821531","doi":"10.1017/s0266466613000509","title":"PETER C.B. PHILLIPS’S CONTRIBUTIONS TO PANEL DATA METHODS","year":2014,"lang":"en","type":"article","venue":"Econometric Theory","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Panel data; Econometrics; Convergence (economics); Index (typography); Mathematics; Macro; Mathematical economics; Panel discussion; Economics; Computer science; Macroeconomics; Advertising","score_opus":0.08442494684011112,"score_gpt":0.3068871381694361,"score_spread":0.22246219132932496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160821531","genre_codex":"methods","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023700933,0.052374322,0.8186518,0.06452603,0.008226729,0.0002102677,0.0018995651,0.0003377819,0.05140337],"genre_scores_gemma":[0.14020179,0.13592693,0.5760218,0.02770186,0.037999798,0.0012398981,0.0024272068,0.0010312112,0.07744948],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99023986,0.006168854,0.00045928604,0.0014145697,0.001502779,0.00021466953],"domain_scores_gemma":[0.9669531,0.027196597,0.0007373127,0.0020450316,0.0027968187,0.0002712057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012812453,0.0014378607,0.0015050138,0.0030834884,0.0012818835,0.0031713606,0.0012212645,0.0023679852,0.010472703],"category_scores_gemma":[0.051004764,0.0017741177,0.0023803296,0.0066383895,0.0027717182,0.0038602874,0.0026287432,0.010042267,0.005634856],"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":[0.00005483385,0.00007711132,0.0025496024,0.0005159108,0.00029811353,0.00028184542,0.0006600756,0.0092466455,0.00023986763,0.6577328,0.10863623,0.21970697],"study_design_scores_gemma":[0.000029611561,0.000031372954,0.0017070768,0.00033462216,0.00009243158,0.00030946458,0.0000963743,0.0070038885,0.00031792832,0.7030216,0.2869812,0.0000744145],"about_ca_topic_score_codex":0.005761186,"about_ca_topic_score_gemma":0.0034214128,"teacher_disagreement_score":0.012812453,"about_ca_system_score_codex":0.0015591282,"about_ca_system_score_gemma":0.0023025451,"threshold_uncertainty_score":0.067759514},"labels":[],"label_agreement":null},{"id":"W2161004559","doi":"10.3386/w11571","title":"Wake Up and Smell the Ginseng: The Rise of Incremental Innovation in Low-Wage Countries","year":2005,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ginseng; Wake; Business; Wage; Labour economics; Economics; Engineering; Medicine","score_opus":0.29173717671413707,"score_gpt":0.430586604436236,"score_spread":0.1388494277220989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161004559","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":[0.8948843,0.0019456593,0.0017613822,0.0089037195,0.000055036075,0.000022410859,0.0005550109,0.000055343768,0.09181708],"genre_scores_gemma":[0.99466455,0.000996808,0.0003739756,0.0003251503,0.000019928226,0.00000431628,0.0001293255,0.000005801347,0.0034801678],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997527,0.00004857062,0.000007631781,0.00004178505,0.000042770444,0.000106516105],"domain_scores_gemma":[0.99882835,0.00037109284,0.00033503695,0.000099752775,0.00014971581,0.00021602295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005406481,0.00013558606,0.00021737834,0.0012086084,0.0010665618,0.0035920204,0.00022580613,0.00059266,0.0031786815],"category_scores_gemma":[0.0022675064,0.0001358458,0.00029597714,0.0020868012,0.0016071184,0.0020872173,0.0014149318,0.001066188,0.00026762797],"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":[0.00043357318,0.00025138858,0.40247354,0.00031539946,0.000085768195,0.0045479285,0.011844305,0.009037764,0.0014053084,0.3843525,0.0408798,0.1443726],"study_design_scores_gemma":[0.00008987403,0.0001924114,0.690666,0.0003856121,0.000089951645,0.00121466,0.01682359,0.00826801,0.0015047775,0.16047548,0.12018438,0.00010516503],"about_ca_topic_score_codex":0.012338609,"about_ca_topic_score_gemma":0.018612718,"teacher_disagreement_score":0.012338609,"about_ca_system_score_codex":0.00092552067,"about_ca_system_score_gemma":0.0007405879,"threshold_uncertainty_score":0.02453357},"labels":[],"label_agreement":null},{"id":"W2161080400","doi":"10.1111/1540-5982.t01-2-00003","title":"R&amp;D, innovation, and technological progress: a test of the Schumpeterian framework without scale effects","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":209,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Scale effects; Technological change; Scale (ratio); Endogenous growth theory; Null hypothesis; Returns to scale; Neoclassical economics; Econometrics; Microeconomics; Macroeconomics; Human capital; Physics; Production (economics); Market economy","score_opus":0.07727846876230962,"score_gpt":0.18312466668959107,"score_spread":0.10584619792728145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161080400","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":[0.97063327,0.00070108206,0.017875195,0.0020296033,0.00005499092,0.00010964457,0.0008717131,0.0001561784,0.0075684055],"genre_scores_gemma":[0.99656194,0.0001956881,0.002060387,0.00009752475,0.000045261102,0.000043867516,0.00032818597,0.000011546695,0.0006555512],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99552405,0.002142562,0.00025283534,0.0009535075,0.0007296127,0.00039753734],"domain_scores_gemma":[0.9107664,0.07112061,0.011527492,0.0031214205,0.0022656294,0.0011982984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012317685,0.0007914132,0.0013667464,0.0023384597,0.0006621533,0.0025523675,0.0013816502,0.0011830189,0.0074314075],"category_scores_gemma":[0.046404026,0.0004214879,0.0024025182,0.0029450676,0.0031216743,0.0025979658,0.0025912,0.0017341346,0.0008676126],"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":[0.0009175656,0.00044893083,0.7432056,0.00043192308,0.0016565815,0.00062581553,0.00050810777,0.09733848,0.0012036233,0.1001995,0.0040746364,0.04938918],"study_design_scores_gemma":[0.00085480715,0.0011119606,0.3458925,0.00014725115,0.0012117755,0.00026349456,0.0011264203,0.5336565,0.0023700448,0.10952754,0.0037042266,0.00013346811],"about_ca_topic_score_codex":0.015182017,"about_ca_topic_score_gemma":0.007418619,"teacher_disagreement_score":0.015182017,"about_ca_system_score_codex":0.0017569762,"about_ca_system_score_gemma":0.002461961,"threshold_uncertainty_score":0.06514293},"labels":[],"label_agreement":null},{"id":"W2161511461","doi":"10.3386/w20846","title":"Business Strategy and the Management of Firms","year":2015,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"Industry Canada; University of Washington","keywords":"Business; Industrial organization; Strategic management; Business administration; Process management; Marketing","score_opus":0.3622460485944057,"score_gpt":0.419858626194344,"score_spread":0.05761257759993832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161511461","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":[0.778112,0.010594014,0.009316546,0.014662901,0.00007130536,0.00020778103,0.0018425443,0.00007290337,0.18512],"genre_scores_gemma":[0.996114,0.0012667743,0.00058210624,0.00014357766,0.000026320788,0.000019147446,0.00020275694,0.00000306346,0.001642134],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99826837,0.0004805677,0.00009316195,0.00022223906,0.0004740684,0.00046157514],"domain_scores_gemma":[0.99383765,0.0014068384,0.0025398685,0.00026450216,0.0008264538,0.0011246667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013387302,0.0002858178,0.00028416904,0.002389202,0.0012356055,0.0047378438,0.00050902256,0.00084995606,0.002331708],"category_scores_gemma":[0.007700568,0.00013108828,0.00016627803,0.0049773525,0.0026916706,0.0019168949,0.0010602489,0.00064383406,0.00044884926],"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":[0.00007173588,0.00020599109,0.48365283,0.00023366728,0.00029373023,0.00033185486,0.0039466945,0.010508838,0.00068145926,0.35798895,0.0123169925,0.12976731],"study_design_scores_gemma":[0.00003866794,0.00014796891,0.63634706,0.00035337388,0.00007598504,0.0001828417,0.008309468,0.007863998,0.00052735524,0.2486127,0.09746032,0.000080321595],"about_ca_topic_score_codex":0.10126603,"about_ca_topic_score_gemma":0.09899751,"teacher_disagreement_score":0.10126603,"about_ca_system_score_codex":0.0077571296,"about_ca_system_score_gemma":0.0071921265,"threshold_uncertainty_score":0.20135319},"labels":[],"label_agreement":null},{"id":"W2161725341","doi":"10.1596/1813-9450-2935","title":"Missed Opportunities: Innovation and Resource-Based Growth in Latin America","year":2002,"lang":"en","type":"book","venue":"World Bank, Washington, DC eBooks","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":130,"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":"Latin Americans; Resource (disambiguation); Business; Natural resource economics; Economics; Political science; Computer science","score_opus":0.07115345867011244,"score_gpt":0.20822297199631906,"score_spread":0.13706951332620662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161725341","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07213822,0.16293818,0.00082710624,0.23385715,0.0011356844,0.000049015758,0.002332728,0.0001248614,0.52659714],"genre_scores_gemma":[0.6877585,0.1885613,0.0010126034,0.00510536,0.0023216065,0.00014048305,0.0019255192,0.00012587944,0.11304872],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99909484,0.00025264814,0.00003625023,0.0000788551,0.00023310691,0.0003044384],"domain_scores_gemma":[0.9971734,0.0012859532,0.0005215082,0.00012721909,0.0004712391,0.00042071418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018969822,0.00035073757,0.00037132116,0.0022881364,0.0016888999,0.008575746,0.00069875363,0.0014518525,0.031572495],"category_scores_gemma":[0.0053081247,0.00018858102,0.0003338216,0.0073521542,0.0020437692,0.0058641788,0.0039469865,0.0019785347,0.0017396011],"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":[0.000111404595,0.00019577389,0.035549924,0.001620266,0.000050991126,0.0008051623,0.014718263,0.0012232282,0.00042391254,0.44631365,0.2508035,0.2481839],"study_design_scores_gemma":[0.000028693818,0.000033276207,0.042024408,0.0020320485,0.00002424951,0.00014875692,0.013933831,0.00044462568,0.00025566964,0.06205375,0.8789836,0.00003715367],"about_ca_topic_score_codex":0.027980551,"about_ca_topic_score_gemma":0.026576178,"teacher_disagreement_score":0.031572495,"about_ca_system_score_codex":0.0053678486,"about_ca_system_score_gemma":0.0057735858,"threshold_uncertainty_score":0.1056205},"labels":[],"label_agreement":null},{"id":"W2161727571","doi":"","title":"Coordination Failure and Employment in South Africa","year":2003,"lang":"en","type":"article","venue":"Open University of Cape Town (University of Cape Town)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Rhodes University","keywords":"Redistribution (election); Labour economics; Human capital; Production (economics); Economics; Quality (philosophy); Technological change; Capital (architecture); Economic growth; Political science; Geography","score_opus":0.02391221641826355,"score_gpt":0.17502607774006648,"score_spread":0.15111386132180293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161727571","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":[0.9873613,0.0018785909,0.00009347104,0.003899386,0.000022838292,0.000011253302,0.0001442651,0.0000032314078,0.0065855943],"genre_scores_gemma":[0.99861014,0.00070588,0.000024412828,0.000070248716,0.000008087686,0.0000052619903,0.000033221873,0.0000014246102,0.0005413344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993994,0.000118466516,0.0000375894,0.000048970913,0.000069899914,0.0003255523],"domain_scores_gemma":[0.99736124,0.00042045425,0.0013195504,0.0000580047,0.00015292977,0.0006878701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074773433,0.00019669773,0.00034040937,0.0013951337,0.0024796145,0.0019287246,0.00040351695,0.0006152364,0.006956502],"category_scores_gemma":[0.0033156797,0.00023149032,0.00015898829,0.0034896687,0.0017988639,0.001180914,0.0022881082,0.0010841334,0.00026107332],"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":[0.0004494017,0.00026291018,0.8309875,0.00056738686,0.00017722894,0.0067476407,0.052712604,0.0036156084,0.0019138335,0.031431857,0.0061147544,0.06501927],"study_design_scores_gemma":[0.000071430935,0.0001562831,0.9240944,0.00055782974,0.000043775766,0.0010670584,0.042622115,0.0012300322,0.00028338155,0.007922306,0.021921488,0.000029844852],"about_ca_topic_score_codex":0.08754188,"about_ca_topic_score_gemma":0.0900255,"teacher_disagreement_score":0.08754188,"about_ca_system_score_codex":0.0039826916,"about_ca_system_score_gemma":0.0027190982,"threshold_uncertainty_score":0.17406464},"labels":[],"label_agreement":null},{"id":"W2162662080","doi":"10.5539/ijef.v4n9p13","title":"Knowledge-based Economy (KBE) Frameworks and Empirical Investigation of KBE Input-output Indicators for ASEAN","year":2012,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Standardization; Variable (mathematics); Knowledge economy; Computer science; Knowledge management; Mathematics","score_opus":0.042188509459635114,"score_gpt":0.2654745891757545,"score_spread":0.22328607971611938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162662080","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":[0.9159146,0.0013869499,0.00863631,0.0014852693,0.000013889167,0.00009748743,0.002123429,0.00005896727,0.07028317],"genre_scores_gemma":[0.99532735,0.0006440607,0.0017326858,0.000036006237,0.0000061674355,0.00004524652,0.0009908045,0.000004930373,0.0012127707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826473,0.000637432,0.00015634015,0.00012898068,0.0005887444,0.00022379018],"domain_scores_gemma":[0.99156004,0.004557121,0.0017490424,0.00022519713,0.0015840268,0.00032455428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032204248,0.00040085425,0.0002898075,0.0055824206,0.0005794391,0.0033011842,0.0003657155,0.00033800842,0.0026067372],"category_scores_gemma":[0.009761109,0.0001507809,0.000353172,0.013429764,0.0009311332,0.0030616522,0.001493842,0.0009852871,0.00029205202],"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":[0.00009199722,0.0006282081,0.6905274,0.00065149943,0.00024813585,0.0018996212,0.0039561065,0.03989525,0.0006177774,0.1494275,0.0049016923,0.10715491],"study_design_scores_gemma":[0.00000992733,0.00013262863,0.8841126,0.00061140605,0.0000779178,0.00039935653,0.017423466,0.04486372,0.0013815938,0.023596222,0.02732369,0.00006744388],"about_ca_topic_score_codex":0.024328751,"about_ca_topic_score_gemma":0.019940965,"teacher_disagreement_score":0.024328751,"about_ca_system_score_codex":0.0037873697,"about_ca_system_score_gemma":0.0027090337,"threshold_uncertainty_score":0.048374236},"labels":[],"label_agreement":null},{"id":"W2163014395","doi":"10.1080/13504850050059078","title":"The behaviour of productivity growth rates and composition bias in the labour input","year":2000,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Solow residual; Economics; Endogeneity; Business cycle; Imperfect competition; Productivity; Residual; Econometrics; Capital (architecture); Total factor productivity; Growth accounting; Competition (biology); Returns to scale; Aggregate (composite); Macroeconomics; Labour economics; Monetary economics; Production (economics); Microeconomics; Mathematics","score_opus":0.021309040678783323,"score_gpt":0.19486101839055348,"score_spread":0.17355197771177017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163014395","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":[0.95641655,0.0012051356,0.028736189,0.00083271525,0.00006995109,0.00005680268,0.0014884972,0.00039175426,0.01080239],"genre_scores_gemma":[0.99397016,0.00032460215,0.0026832647,0.00007075942,0.000020879259,0.000026415259,0.00068811525,0.00008635333,0.0021295622],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990783,0.00021199958,0.00006869661,0.00028089026,0.00020796736,0.0001521645],"domain_scores_gemma":[0.9879639,0.006324337,0.0024202703,0.0017738055,0.0013238381,0.0001938986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035312693,0.0003547347,0.00042180385,0.0012218456,0.00020514084,0.0010147077,0.00035467412,0.0007797497,0.0021001948],"category_scores_gemma":[0.027323442,0.00032466298,0.00048141906,0.0014767366,0.0007147967,0.0008939796,0.00055570394,0.0008932273,0.0012331587],"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":[0.001277054,0.00016448686,0.64342654,0.00046129015,0.0004514763,0.000824801,0.0027050478,0.09187915,0.0647873,0.038438268,0.0052128276,0.15037175],"study_design_scores_gemma":[0.00008962888,0.00036803057,0.77112263,0.00010280913,0.00008115748,0.0014302786,0.0007782582,0.13125376,0.03682775,0.0482858,0.00952187,0.00013809395],"about_ca_topic_score_codex":0.0031503849,"about_ca_topic_score_gemma":0.0012914146,"teacher_disagreement_score":0.0035312693,"about_ca_system_score_codex":0.0005856831,"about_ca_system_score_gemma":0.0004738401,"threshold_uncertainty_score":0.018675327},"labels":[],"label_agreement":null},{"id":"W2163124753","doi":"10.1515/bejm-2012-0137","title":"Implementation cycles, growth and the labor market","year":2013,"lang":"en","type":"article","venue":"The B E Journal of Macroeconomics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Canadian Institute for Advanced Research; University of British Columbia","funders":"","keywords":"Restructuring; Economics; Labour economics; Productivity; Recession; Unemployment; Incentive; Business cycle; Macroeconomics; Market economy","score_opus":0.011953591588511177,"score_gpt":0.21184440094276183,"score_spread":0.19989080935425066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163124753","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":[0.5420624,0.005307218,0.21244241,0.013076578,0.00015370629,0.00017905867,0.0006912648,0.00024049386,0.22584686],"genre_scores_gemma":[0.9814464,0.0013401352,0.004519111,0.00022069423,0.000084961874,0.000086685366,0.0001313404,0.000027555425,0.012143221],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99971694,0.00009265623,0.000013757627,0.000050899464,0.0000571841,0.00006857421],"domain_scores_gemma":[0.998304,0.0007064167,0.00056477473,0.00010561218,0.00016042941,0.0001587413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009455722,0.0002955319,0.0002957574,0.00092906534,0.00063412456,0.0022458867,0.0006958436,0.0008798858,0.006515727],"category_scores_gemma":[0.0043760664,0.00023421577,0.00033142013,0.0010623989,0.0017516562,0.0026628636,0.00097626855,0.0009322682,0.0005213768],"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":[0.00002708567,0.00004314221,0.0076485584,0.0000383993,0.00000969208,0.00010478584,0.00048663514,0.027387407,0.00026508127,0.9368343,0.0023420118,0.024812948],"study_design_scores_gemma":[0.00002316054,0.00003425244,0.0068032835,0.000050144317,0.000009897798,0.00006873887,0.00039807335,0.072979994,0.00018016396,0.90392965,0.015506582,0.000016036534],"about_ca_topic_score_codex":0.0063440325,"about_ca_topic_score_gemma":0.0033120324,"teacher_disagreement_score":0.006515727,"about_ca_system_score_codex":0.0017945615,"about_ca_system_score_gemma":0.0012867919,"threshold_uncertainty_score":0.0217973},"labels":[],"label_agreement":null},{"id":"W2163337145","doi":"10.1023/a:1022897231521","title":"Index Number Concepts, Measures and Decompositions of Productivity Growth","year":2003,"lang":"en","type":"article","venue":"Journal of Productivity Analysis","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":25,"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 Alberta; University of British Columbia","funders":"","keywords":"Productivity; Index (typography); Price index; Econometrics; Observable; Measure (data warehouse); Total factor productivity; Mathematics; Statistics; Economics; Computer science; Macroeconomics; Data mining","score_opus":0.024091049147853007,"score_gpt":0.2440101754541034,"score_spread":0.21991912630625038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163337145","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":[0.0371996,0.008632558,0.8939093,0.0018726849,0.0011631902,0.00018170766,0.002521526,0.00063537835,0.053884167],"genre_scores_gemma":[0.4596959,0.011619094,0.49235958,0.0004968711,0.0032531992,0.001093658,0.0041145748,0.00066533854,0.026701696],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99791116,0.0004890072,0.00025780912,0.0003473988,0.00086174294,0.0001328677],"domain_scores_gemma":[0.99332774,0.002433258,0.00138893,0.0010914039,0.0014078777,0.00035087785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004328279,0.0013549448,0.0008799328,0.0080669345,0.00083434145,0.0060551506,0.0013089784,0.0010243274,0.0071561756],"category_scores_gemma":[0.020518677,0.0003923104,0.00083209056,0.008084762,0.0022971698,0.00948911,0.0014824627,0.0024019834,0.002172396],"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":[0.00005651668,0.00002735263,0.001483258,0.00012836502,0.000017359747,0.000020045838,0.00014086581,0.0033670196,0.0015059902,0.9172883,0.0057283673,0.0702367],"study_design_scores_gemma":[0.00000923147,0.000026809148,0.0018090243,0.00006401314,0.000017279435,0.0001149564,0.00007422312,0.019626541,0.0009924666,0.96043175,0.016811807,0.000021913296],"about_ca_topic_score_codex":0.00045911767,"about_ca_topic_score_gemma":0.0003245695,"teacher_disagreement_score":0.0080669345,"about_ca_system_score_codex":0.0018808731,"about_ca_system_score_gemma":0.001015836,"threshold_uncertainty_score":0.023939729},"labels":[],"label_agreement":null},{"id":"W2163548980","doi":"10.1287/mnsc.1060.0670","title":"<b>Research Note</b>—Determinants of Country-Level Investment in Information Technology","year":2007,"lang":"en","type":"article","venue":"Management Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Division of Information and Intelligent Systems","keywords":"Investment (military); Openness to experience; Productivity; Developing country; Open-ended investment company; Return on investment; Business; Economics; Government (linguistics); International economics; Monetary economics; Economic growth; Macroeconomics","score_opus":0.05934430749569475,"score_gpt":0.2964201184458126,"score_spread":0.23707581095011787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163548980","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":[0.73705643,0.00821944,0.005197003,0.0720745,0.0016432969,0.0002602132,0.045993604,0.0002729954,0.12928249],"genre_scores_gemma":[0.93759626,0.005891448,0.0028140896,0.0037503613,0.0006743649,0.00014749246,0.0175921,0.000055030767,0.031478897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975365,0.000065942426,0.000024455121,0.00004516809,0.000065134845,0.00004565395],"domain_scores_gemma":[0.9910274,0.0052563483,0.001611137,0.0002836054,0.0012776504,0.0005438236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006149031,0.0002552061,0.00023139546,0.0009734789,0.000485147,0.0017640531,0.00040636736,0.00070296245,0.044886667],"category_scores_gemma":[0.004719135,0.00011262671,0.00065701245,0.0016452678,0.00042076327,0.0012814178,0.00047777256,0.00093389244,0.005251976],"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":[0.00017115258,0.00022644796,0.82345706,0.00030722556,0.00019149964,0.00036388903,0.00029151098,0.0027379165,0.0007452446,0.016959362,0.12413738,0.030411381],"study_design_scores_gemma":[0.00005379496,0.000268743,0.8980534,0.00064661494,0.0002668544,0.00048461746,0.0030100201,0.0035551446,0.0028367206,0.0077923234,0.082983375,0.000048364444],"about_ca_topic_score_codex":0.037259854,"about_ca_topic_score_gemma":0.032727536,"teacher_disagreement_score":0.044886667,"about_ca_system_score_codex":0.0008398164,"about_ca_system_score_gemma":0.0018142522,"threshold_uncertainty_score":0.15016091},"labels":[],"label_agreement":null},{"id":"W2164239225","doi":"10.5539/ijef.v7n3p199","title":"Population Aging and Economic Growth: The Chinese Experience of Solow Model","year":2015,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities","keywords":"Dependency ratio; Economics; Per capita; Population ageing; Population; Per capita income; Population growth; Demographic economics; Growth model; Dependency (UML); Age structure; Econometrics; Macroeconomics; Demography","score_opus":0.03257510007421311,"score_gpt":0.244016655063121,"score_spread":0.2114415549889079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164239225","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":[0.88853514,0.00410998,0.023638181,0.0068678213,0.00013673489,0.00003986064,0.00029400212,0.000095931995,0.07628237],"genre_scores_gemma":[0.9920214,0.0018324307,0.00069939694,0.00009450166,0.000038347353,0.0000133938065,0.00005508869,0.000008822263,0.005236688],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999075,0.000027495695,0.000004577444,0.000016830172,0.000015556045,0.000027982756],"domain_scores_gemma":[0.9998735,0.000030368574,0.000022182088,0.000010439068,0.000027496124,0.00003593353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004784432,0.00037548225,0.0003393002,0.0004926128,0.00064630003,0.0009948086,0.000521302,0.00038396835,0.001739587],"category_scores_gemma":[0.0006500497,0.00010049747,0.0003891777,0.00058528245,0.0008630797,0.0012625819,0.0008020347,0.0004402039,0.00014857475],"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":[0.00016138083,0.000111452995,0.042880427,0.00014735133,0.000066892375,0.0017751266,0.004825628,0.0963128,0.0012061365,0.80614626,0.009861541,0.036504954],"study_design_scores_gemma":[0.000069869304,0.00012590828,0.022211405,0.00007446377,0.00013642666,0.00044489888,0.0021580567,0.4994664,0.0010379532,0.43797842,0.036239468,0.000056778863],"about_ca_topic_score_codex":0.027796596,"about_ca_topic_score_gemma":0.011348097,"teacher_disagreement_score":0.027796596,"about_ca_system_score_codex":0.0017064625,"about_ca_system_score_gemma":0.0012260794,"threshold_uncertainty_score":0.0552696},"labels":[],"label_agreement":null},{"id":"W2164322616","doi":"10.1257/aer.90.2.168","title":"Economic and Productivity Growth in Canadian Industries","year":2000,"lang":"en","type":"article","venue":"American Economic Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Economics; Productivity; Agricultural economics; Macroeconomics","score_opus":0.01986465536460274,"score_gpt":0.21990097638215012,"score_spread":0.20003632101754737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164322616","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":[0.8239105,0.005902685,0.0008632069,0.0027608133,0.00007810116,0.000093687886,0.029774686,0.0001274572,0.13648896],"genre_scores_gemma":[0.9697146,0.0046593593,0.000956379,0.00012440448,0.000028728688,0.000026341762,0.009789664,0.000021479027,0.014678951],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982085,0.0000470716,0.00004994248,0.0001489556,0.0008119003,0.0007336013],"domain_scores_gemma":[0.99577445,0.00014062744,0.0003328691,0.00009504681,0.0031425569,0.0005144124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009243085,0.00057840836,0.0003450995,0.01086237,0.004003024,0.0028418608,0.0009365103,0.00036978698,0.004304106],"category_scores_gemma":[0.0052420483,0.00024813475,0.0008074332,0.018705437,0.000723679,0.00067588023,0.0011612534,0.0007335715,0.0005631354],"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":[0.0001812192,0.000081759674,0.8601861,0.00023872782,0.00015404506,0.0004872007,0.0042506647,0.00503984,0.00087132165,0.025859112,0.02576855,0.07688141],"study_design_scores_gemma":[0.000006588131,0.00001095651,0.9683433,0.000063349784,0.000032798653,0.00006034477,0.0016471734,0.002316056,0.0002186334,0.00072563044,0.026541745,0.000033410037],"about_ca_topic_score_codex":0.996874,"about_ca_topic_score_gemma":0.9980178,"teacher_disagreement_score":0.081396066,"about_ca_system_score_codex":0.081396066,"about_ca_system_score_gemma":0.062906094,"threshold_uncertainty_score":0.5905726},"labels":[],"label_agreement":null},{"id":"W2164591023","doi":"10.1111/cwe.12104","title":"Industrial Structural Change and Economic Growth in China, 1987–2008","year":2015,"lang":"en","type":"article","venue":"China & World Economy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Structural change; Economics; China; Tertiary sector of the economy; Productivity; Real gross domestic product; Consumption (sociology); Manufacturing sector; Chinese economy; Manufacturing; International economics; Macroeconomics; Economy; Business","score_opus":0.06642225870482056,"score_gpt":0.2193920384848929,"score_spread":0.1529697797800723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164591023","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":[0.996271,0.00029809316,0.00007035418,0.00028374323,0.0000070125657,0.000008613158,0.0008286172,0.0000071495733,0.0022253948],"genre_scores_gemma":[0.9978605,0.00023601238,0.000042877386,0.000017632692,0.000016213182,0.0000043722,0.0011272735,0.0000011301071,0.0006939697],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998379,0.000011703759,0.000012133826,0.000021756341,0.00004750318,0.000068949696],"domain_scores_gemma":[0.99898154,0.00008354941,0.00045931648,0.000041120828,0.00027964966,0.00015477542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042594832,0.00029795078,0.00019193941,0.0023909619,0.00044053717,0.0005897847,0.00027572617,0.0002954015,0.0017264016],"category_scores_gemma":[0.0014459573,0.00010701423,0.00022992943,0.003952314,0.00047834788,0.00049204164,0.0005985852,0.0004538569,0.00022002806],"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":[0.000117729614,0.000064335654,0.97644776,0.0000602251,0.00005271047,0.00026599003,0.0008482848,0.0030291069,0.00041475755,0.0023658432,0.0015101804,0.014823111],"study_design_scores_gemma":[0.000002632317,0.000017184371,0.9976004,0.0000069870803,0.0000059410654,0.000018404658,0.00020007936,0.0007743126,0.00011439931,0.00008298665,0.0011744613,0.0000022480388],"about_ca_topic_score_codex":0.097412534,"about_ca_topic_score_gemma":0.14415297,"teacher_disagreement_score":0.097412534,"about_ca_system_score_codex":0.0032620449,"about_ca_system_score_gemma":0.0020805744,"threshold_uncertainty_score":0.19369107},"labels":[],"label_agreement":null},{"id":"W2164810664","doi":"10.7202/602123ar","title":"La croissance économique et les compétences gouvernementales du Québec","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.046310946212791415,"score_gpt":0.2325952037780239,"score_spread":0.18628425756523248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164810664","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":[0.47077152,0.026430018,0.0064594857,0.056493506,0.0005947866,0.00009516993,0.0031252955,0.00007007213,0.43596014],"genre_scores_gemma":[0.93236434,0.008907642,0.0011332941,0.0012415658,0.000084121144,0.000029292849,0.00049815985,0.00001626417,0.055725273],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99904853,0.00023610686,0.000034905297,0.00011156696,0.0002613771,0.0003074713],"domain_scores_gemma":[0.99707365,0.0007315478,0.00028758918,0.00010951963,0.0012913116,0.0005063871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010666699,0.00025405973,0.00027057354,0.0015890382,0.002552302,0.0034984846,0.0005320588,0.00073108834,0.008885537],"category_scores_gemma":[0.0045106662,0.00010183112,0.00024133378,0.0027045514,0.0021795304,0.0012940044,0.00072117196,0.0012038816,0.000431926],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010031021,0.00010247515,0.1646691,0.00045724705,0.00011169983,0.000716365,0.031859532,0.0037115703,0.0008047667,0.55212396,0.042187657,0.20315532],"study_design_scores_gemma":[0.000013237581,0.00004175932,0.5758606,0.0010492436,0.00005429178,0.00022409666,0.017276393,0.0030465417,0.0004111349,0.024911791,0.37702453,0.0000864005],"about_ca_topic_score_codex":0.9758194,"about_ca_topic_score_gemma":0.9828882,"teacher_disagreement_score":0.97257066,"about_ca_system_score_codex":0.027429318,"about_ca_system_score_gemma":0.026242383,"threshold_uncertainty_score":0.1990146},"labels":[],"label_agreement":null},{"id":"W2166565638","doi":"10.7202/800756ar","title":"L’effort consacré à la recherche et au développement : un facteur explicatif de la structure et de l’évolution des exportations de pays industrialisés","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Economics; R&D intensity; Welfare economics; Humanities; Philosophy; Management","score_opus":0.24992432287961677,"score_gpt":0.34199412062985174,"score_spread":0.09206979775023497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166565638","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":[0.94273245,0.005105277,0.011846862,0.009754279,0.000051810806,0.000013104885,0.00018194495,0.00007099698,0.030243231],"genre_scores_gemma":[0.988305,0.0024824108,0.0035641512,0.00022825145,0.00013546491,0.000015101002,0.00012025988,0.000033145574,0.005116278],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982657,0.0006424764,0.00009278964,0.0003575828,0.00038623952,0.00025513637],"domain_scores_gemma":[0.9804772,0.0131190745,0.003312402,0.001300233,0.0010531998,0.00073777774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044567497,0.00026922493,0.0002748946,0.0023372564,0.00084173476,0.0040655863,0.0004797436,0.00094004103,0.0024872902],"category_scores_gemma":[0.014816225,0.00031832047,0.0003918955,0.002798649,0.0035525651,0.0040573254,0.0015144222,0.0011811779,0.0005196477],"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":[0.00036188378,0.00018459946,0.5459582,0.00029472137,0.00012960738,0.0010602946,0.02303402,0.006000902,0.0056067463,0.19157805,0.0023369442,0.22345401],"study_design_scores_gemma":[0.0000535458,0.0003297262,0.85356915,0.00028797626,0.00006490781,0.0016369576,0.0070760217,0.004200807,0.003185101,0.04867319,0.08085087,0.000071749644],"about_ca_topic_score_codex":0.003990231,"about_ca_topic_score_gemma":0.0038021945,"teacher_disagreement_score":0.0044567497,"about_ca_system_score_codex":0.0013562435,"about_ca_system_score_gemma":0.0014573447,"threshold_uncertainty_score":0.023569822},"labels":[],"label_agreement":null},{"id":"W2167081745","doi":"10.1111/j.1540-5982.2009.01550.x","title":"Technology transfer through imports","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":208,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Technology transfer; Productivity; International trade; Transfer (computing); Channel (broadcasting); International economics; Economic geography; Business; Economics; Technological change; Industrial organization; Telecommunications; Engineering; Economic growth; Computer science; Macroeconomics","score_opus":0.105661408614776,"score_gpt":0.17400484011028566,"score_spread":0.06834343149550966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167081745","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":[0.9119317,0.0014427559,0.006498568,0.00086625054,0.000039820115,0.000032204287,0.0011740994,0.000081708924,0.0779329],"genre_scores_gemma":[0.9886286,0.00072441675,0.00039760154,0.00005580155,0.000029223633,0.000012089217,0.00030719023,0.0000068081345,0.009838233],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999678,0.00004921391,0.00001711962,0.0000691058,0.00006838477,0.00011808934],"domain_scores_gemma":[0.9982344,0.0005646608,0.00072298537,0.0001376569,0.00021158875,0.00012863011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055692246,0.0003124564,0.0003657955,0.001674939,0.00048607928,0.0019289514,0.0002533807,0.00057241914,0.016361294],"category_scores_gemma":[0.0030109545,0.00014599324,0.0006824287,0.0021695667,0.00062478485,0.0021658724,0.0011867903,0.00071656896,0.001490791],"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":[0.0005841371,0.00054213265,0.50864464,0.0008385791,0.000448471,0.0039297133,0.0032177998,0.086742885,0.0073909094,0.14133392,0.00905963,0.23726727],"study_design_scores_gemma":[0.00010245602,0.0007553578,0.78669655,0.00055184425,0.00044144,0.0022647523,0.0051614316,0.03477391,0.012915405,0.065435894,0.090797506,0.00010340011],"about_ca_topic_score_codex":0.0047396137,"about_ca_topic_score_gemma":0.0022508125,"teacher_disagreement_score":0.016361294,"about_ca_system_score_codex":0.0011098916,"about_ca_system_score_gemma":0.0004973936,"threshold_uncertainty_score":0.05473399},"labels":[],"label_agreement":null},{"id":"W2167269466","doi":"10.3233/jem-130375","title":"Thinking and growing: Towards a reconciliation of exogenous and endogenous growth theories","year":2013,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Works and Government Services Canada","funders":"","keywords":"Endogenous growth theory; Economics; Endogeny; Neoclassical economics; Growth theory; Positive economics; Mathematical economics; Economic growth; Medicine; Internal medicine","score_opus":0.08038376521834802,"score_gpt":0.21069729063168877,"score_spread":0.13031352541334074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167269466","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":[0.06835997,0.02468384,0.61089605,0.10167225,0.0018800785,0.000098750235,0.0002918669,0.00041246825,0.19170469],"genre_scores_gemma":[0.8449214,0.015191695,0.12767659,0.0043236087,0.0014423868,0.00023517333,0.00023316345,0.0002425631,0.005733466],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99570125,0.002410985,0.00023171041,0.0005521743,0.0008808229,0.00022302593],"domain_scores_gemma":[0.98551255,0.008388363,0.001395455,0.0026306533,0.0014462475,0.0006267653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009148021,0.0009835355,0.0012857144,0.0041940287,0.0015870769,0.011164247,0.00286079,0.0028389574,0.0023760928],"category_scores_gemma":[0.015405193,0.00056852004,0.0009533696,0.003173986,0.020447992,0.020850647,0.0056853653,0.0058223605,0.00045611066],"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":[0.0000052379833,0.000010636379,0.00015081493,0.000035449728,0.000005525774,0.00001797137,0.0005275663,0.0009983185,0.000024921288,0.99312544,0.00029166197,0.0048063872],"study_design_scores_gemma":[0.000003311352,0.0000041628905,0.00010210256,0.00004223387,0.000003730211,0.000011313881,0.00028798237,0.0025636975,0.000041414823,0.99309134,0.0038433557,0.000005295286],"about_ca_topic_score_codex":0.0013788036,"about_ca_topic_score_gemma":0.001189651,"teacher_disagreement_score":0.011164247,"about_ca_system_score_codex":0.004506647,"about_ca_system_score_gemma":0.003481869,"threshold_uncertainty_score":0.048379898},"labels":[],"label_agreement":null},{"id":"W2167925360","doi":"10.1080/00036846.2010.522522","title":"What affects MFP in the long-run? Evidence from Canadian industries","year":2011,"lang":"en","type":"article","venue":"Applied Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada; Statistics Canada","funders":"Infrastructure Canada","keywords":"Openness to experience; Outsourcing; Economics; Productivity; Information and Communications Technology; Investment (military); Error correction model; Panel data; Capital equipment; Short run; Econometrics; Industrial organization; International trade; International economics; Macroeconomics; Cointegration; Business","score_opus":0.06795399380192417,"score_gpt":0.19880980106431412,"score_spread":0.13085580726238993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167925360","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":[0.94852275,0.01048681,0.0010044546,0.0067404094,0.00006042127,0.00003006645,0.015972178,0.00007550333,0.017107397],"genre_scores_gemma":[0.9908019,0.0026066832,0.0002450378,0.00019539153,0.000020197082,0.0000067989304,0.0036272414,0.000008119232,0.0024886895],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840754,0.00014800306,0.00007603078,0.00026283565,0.00049647706,0.0006092038],"domain_scores_gemma":[0.9899447,0.0025716578,0.0021275147,0.0005702711,0.0037050396,0.0010808388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019467237,0.00044961067,0.0005374057,0.0021534436,0.001783943,0.0022568798,0.0009399793,0.00084966695,0.0032525486],"category_scores_gemma":[0.009974723,0.00031015716,0.0008775573,0.005283892,0.00089246716,0.0009257702,0.0010299222,0.001235032,0.00041617837],"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":[0.00022165095,0.000068915586,0.95411766,0.00020681472,0.000331433,0.00045110148,0.0011629146,0.0070019686,0.0004361872,0.0039379215,0.0057854727,0.026277961],"study_design_scores_gemma":[0.00000905915,0.000019137717,0.99077153,0.000066296976,0.00008983258,0.00003342044,0.0007595327,0.0018153863,0.00022704453,0.0004220473,0.0057624127,0.000024244122],"about_ca_topic_score_codex":0.9901996,"about_ca_topic_score_gemma":0.9897653,"teacher_disagreement_score":0.02105397,"about_ca_system_score_codex":0.02105397,"about_ca_system_score_gemma":0.021986144,"threshold_uncertainty_score":0.15275794},"labels":[],"label_agreement":null},{"id":"W2168126185","doi":"","title":"Price Cap Regulation and Productivity Growth","year":2000,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Total factor productivity; Economics; Offset (computer science); Multifactor productivity; Labour economics; Monetary economics; Macroeconomics","score_opus":0.018730756809585296,"score_gpt":0.2128241682010021,"score_spread":0.1940934113914168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168126185","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":[0.17141804,0.054999314,0.06267146,0.11396079,0.0017330874,0.0000763179,0.0013749334,0.0006580765,0.59310806],"genre_scores_gemma":[0.9574361,0.01512737,0.001656,0.0026346243,0.00096779893,0.000034872388,0.00038336884,0.000070967144,0.021688916],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986216,0.00027482773,0.000059501057,0.00023003067,0.0004618589,0.0003520901],"domain_scores_gemma":[0.9935557,0.0025858597,0.002068321,0.00027354626,0.0011819628,0.00033464836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014098133,0.00038902284,0.00037759094,0.0012059485,0.00093667046,0.0049623577,0.0005882958,0.0016459925,0.0065696714],"category_scores_gemma":[0.012227607,0.00017723218,0.00042555504,0.0017044514,0.0023510777,0.0026268624,0.001760825,0.002570335,0.00075509213],"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":[0.00017408757,0.000104732586,0.01610814,0.00014631428,0.00005739769,0.0002889124,0.00054884533,0.009006613,0.0013878947,0.8801254,0.033082735,0.058968943],"study_design_scores_gemma":[0.00008028381,0.000120996025,0.04233565,0.00025265256,0.00008456129,0.00030973137,0.000737767,0.016214566,0.0045430213,0.7651771,0.1700551,0.00008864212],"about_ca_topic_score_codex":0.012739778,"about_ca_topic_score_gemma":0.0060417983,"teacher_disagreement_score":0.012739778,"about_ca_system_score_codex":0.004188653,"about_ca_system_score_gemma":0.0025671597,"threshold_uncertainty_score":0.030390978},"labels":[],"label_agreement":null},{"id":"W2168302834","doi":"10.5430/jha.v1n1p42","title":"Health policies in transition economics","year":2012,"lang":"en","type":"article","venue":"Journal of Hospital Administration","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Health policy; Set (abstract data type); Politics; Process (computing); Safety net; Health reform; Population; Economic growth; Public economics; Development economics; Economics; Business; Political science; Health care; Medicine; Environmental health","score_opus":0.02412554746268584,"score_gpt":0.24111709101443463,"score_spread":0.2169915435517488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168302834","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":[0.13565882,0.049965322,0.012700724,0.36480772,0.0018479946,0.00014213803,0.0004613323,0.0001298048,0.43428612],"genre_scores_gemma":[0.97165823,0.007433787,0.0006309863,0.008607502,0.0008053473,0.000044775003,0.00004196014,0.00000922954,0.010768175],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99902225,0.00040531688,0.00002054125,0.00006080063,0.00008144734,0.0004096615],"domain_scores_gemma":[0.9981614,0.000981697,0.00017646917,0.00007536578,0.0002015889,0.00040359388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013920976,0.00015589077,0.00021175086,0.0009411034,0.0013108661,0.0033971805,0.00021569466,0.0018969616,0.0061349194],"category_scores_gemma":[0.0046815025,0.00011301454,0.00024595176,0.00082077755,0.004089598,0.0023084746,0.0014549957,0.0023363382,0.000253851],"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":[0.000026647358,0.000031888212,0.00090143457,0.000038782182,0.0000061539595,0.00009850007,0.00026454095,0.0018701089,0.000033214037,0.98123944,0.0071730623,0.008316118],"study_design_scores_gemma":[0.0000497251,0.000057515404,0.004458745,0.00029667036,0.000011190703,0.00007768754,0.0010025965,0.0023026185,0.000121595345,0.8949965,0.09661102,0.000014129925],"about_ca_topic_score_codex":0.012940502,"about_ca_topic_score_gemma":0.0053917817,"teacher_disagreement_score":0.012940502,"about_ca_system_score_codex":0.0059119854,"about_ca_system_score_gemma":0.0042638713,"threshold_uncertainty_score":0.04289472},"labels":[],"label_agreement":null},{"id":"W2168616288","doi":"10.2139/ssrn.1490660","title":"Treating Intangible Inputs as Investment Goods: The Impact on Canadian GDP","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"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":"Gross private domestic investment; Investment (military); Business; International trade; Economics; Commerce; International economics; Industrial organization; Agricultural economics; Monetary economics; Production (economics); Macroeconomics; Return on investment; Open-ended investment company","score_opus":0.019519272901843902,"score_gpt":0.2198890952809681,"score_spread":0.20036982237912418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168616288","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":[0.7471313,0.015343127,0.0026364333,0.035318345,0.00065695774,0.00006913835,0.014213718,0.00028915209,0.18434192],"genre_scores_gemma":[0.95077425,0.011027453,0.0011954985,0.000608974,0.000107088184,0.00001452724,0.002227597,0.00006907957,0.033975437],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99839276,0.00016104044,0.000031617736,0.00013874851,0.000690233,0.00058555417],"domain_scores_gemma":[0.99558556,0.0007673346,0.00032539427,0.00016442737,0.0025661648,0.0005910907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013703528,0.00095051166,0.0007793798,0.0020482847,0.0030962008,0.005895206,0.0012788434,0.0012072122,0.009075491],"category_scores_gemma":[0.0103037525,0.00023763889,0.0011150137,0.007575029,0.0017396028,0.0015073589,0.0012523303,0.0018106246,0.00067033933],"study_design_candidate":"simulation_or_modeling","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":[0.0013220421,0.00020956692,0.30808988,0.0008528544,0.00051116786,0.0010025481,0.0024979063,0.09895072,0.0030478314,0.3233956,0.09552654,0.16459338],"study_design_scores_gemma":[0.00016365825,0.00014746522,0.602604,0.000560294,0.0011130001,0.0002314151,0.010022334,0.07265736,0.0058095283,0.062023222,0.24444784,0.00021983951],"about_ca_topic_score_codex":0.9963575,"about_ca_topic_score_gemma":0.99744874,"teacher_disagreement_score":0.10040072,"about_ca_system_score_codex":0.10040072,"about_ca_system_score_gemma":0.10327702,"threshold_uncertainty_score":0.7284616},"labels":[],"label_agreement":null},{"id":"W2169308760","doi":"","title":"Revisions to the Multifactor Productivity Accounts","year":2014,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Multifactor productivity; Productivity; Economics; Business sector; Capital (architecture); Labour economics; Order (exchange); Consistency (knowledge bases); Capital deepening; Human capital; Investment (military); Sectoral analysis; Capital intensity; Total factor productivity; Macroeconomics; Economy; Capital formation; Financial capital; Economic growth; Finance; Geography","score_opus":0.03583620141771587,"score_gpt":0.2204249288322149,"score_spread":0.18458872741449903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169308760","genre_codex":"dataset","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":[0.034736134,0.014031959,0.048898727,0.07576632,0.037256412,0.0014173564,0.46896985,0.00797921,0.31094408],"genre_scores_gemma":[0.19848551,0.015925355,0.09803234,0.010211124,0.008247126,0.0017536384,0.2802526,0.0043951524,0.3826971],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.96346074,0.0018769978,0.0021081155,0.0014755933,0.028462688,0.0026158683],"domain_scores_gemma":[0.77727705,0.010378939,0.0046186787,0.009111317,0.19562,0.002993996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017382659,0.0012994484,0.00081518886,0.015896855,0.00390494,0.007761164,0.0043422044,0.0017429664,0.0135244625],"category_scores_gemma":[0.114385985,0.0010348062,0.0015289962,0.020596586,0.0014108953,0.004074284,0.0020940376,0.0064931274,0.0064053475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016477548,0.000029529912,0.009345482,0.0003481859,0.000052767213,0.00010636097,0.0009885717,0.0026063076,0.0004431232,0.09553475,0.7754445,0.11493564],"study_design_scores_gemma":[0.00000866302,0.000007929047,0.015142727,0.00024189147,0.000020651563,0.00005167154,0.00019153228,0.0016093797,0.00043992093,0.0027573337,0.97944814,0.00008019135],"about_ca_topic_score_codex":0.8708602,"about_ca_topic_score_gemma":0.7492677,"teacher_disagreement_score":0.8708602,"about_ca_system_score_codex":0.059075568,"about_ca_system_score_gemma":0.09695008,"threshold_uncertainty_score":0.42862523},"labels":[],"label_agreement":null},{"id":"W2170038813","doi":"10.7202/012841ar","title":"L’utilisation des technologies de l’information et sa contribution à la croissance en Australie","year":2006,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.027210467046400014,"score_gpt":0.22731803059858502,"score_spread":0.200107563552185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170038813","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":[0.7772877,0.025362378,0.019202974,0.008169851,0.00042751426,0.00015950656,0.001517265,0.00015275987,0.16772003],"genre_scores_gemma":[0.93361735,0.013815882,0.010302633,0.00063649943,0.00015433991,0.00007755452,0.0004767561,0.00009318648,0.040825814],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9972813,0.00061412796,0.00014048757,0.00042799016,0.001075249,0.00046083014],"domain_scores_gemma":[0.9883025,0.0039651617,0.0028878269,0.000583028,0.003356647,0.0009047679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029952244,0.00051708537,0.00044201195,0.0025739132,0.0010096374,0.0060469885,0.00072069035,0.00096983643,0.009793009],"category_scores_gemma":[0.012252534,0.00040995592,0.0005927636,0.0045033516,0.001723233,0.0043952153,0.002255379,0.002092484,0.0015198578],"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":[0.0005488094,0.0002598251,0.17954789,0.0035014655,0.00045188415,0.0020553789,0.03921248,0.0053387405,0.015118864,0.10510264,0.006342651,0.6425195],"study_design_scores_gemma":[0.000041967207,0.00066267594,0.4708787,0.0024913491,0.0003213446,0.00165805,0.021266392,0.005052217,0.009531481,0.022810806,0.46512267,0.00016229493],"about_ca_topic_score_codex":0.047263376,"about_ca_topic_score_gemma":0.054988302,"teacher_disagreement_score":0.047263376,"about_ca_system_score_codex":0.0043763695,"about_ca_system_score_gemma":0.0054924455,"threshold_uncertainty_score":0.09397656},"labels":[],"label_agreement":null},{"id":"W2170067905","doi":"10.1111/j.1540-5982.2009.01567.x","title":"Does the version of the Penn World Tables matter? An analysis of the relationship between growth and volatility","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Economics; Econometrics; Sign (mathematics); Financial economics; Mathematics","score_opus":0.0879733716247534,"score_gpt":0.180843459947395,"score_spread":0.09287008832264161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170067905","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":[0.88527966,0.00723179,0.008665781,0.017511953,0.0009908748,0.00012317619,0.025097976,0.00021415604,0.054884657],"genre_scores_gemma":[0.991189,0.0012984624,0.00068355445,0.00029677432,0.00029190475,0.000030131057,0.004406145,0.000069689115,0.0017342963],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99559575,0.0021197414,0.00034737473,0.00036759462,0.0013373197,0.00023223514],"domain_scores_gemma":[0.8300553,0.11978033,0.029382806,0.005400481,0.013784241,0.001596756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065163844,0.00018516836,0.00044950287,0.0026114786,0.00047257103,0.0043750587,0.00044025359,0.00053901447,0.0074520227],"category_scores_gemma":[0.12159563,0.00015199027,0.00035915856,0.009867501,0.00089151826,0.0024289466,0.0006194837,0.0011359255,0.0010170795],"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":[0.00076926453,0.00008736721,0.8360716,0.00018231497,0.00035911778,0.0002450545,0.0009707329,0.003929973,0.00025790418,0.04886005,0.043624766,0.06464186],"study_design_scores_gemma":[0.00005828086,0.00013104743,0.9115536,0.00024529392,0.0002951541,0.00029151104,0.0024900553,0.015078109,0.00080984714,0.024403732,0.044547595,0.00009568006],"about_ca_topic_score_codex":0.01139453,"about_ca_topic_score_gemma":0.0049160053,"teacher_disagreement_score":0.01139453,"about_ca_system_score_codex":0.0011812774,"about_ca_system_score_gemma":0.00089015166,"threshold_uncertainty_score":0.034462333},"labels":[],"label_agreement":null},{"id":"W2170207822","doi":"10.2139/ssrn.2405089","title":"Agricultural Productivity and Structural Transformation. Evidence from Brazil","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":111,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Agricultural productivity; Agriculture; Productivity; Technical change; Work (physics); Production (economics); Economics; Agricultural economics; Industrial production; Natural resource economics; Engineering; Geography; Economic growth; Microeconomics; Macroeconomics","score_opus":0.013247490310341904,"score_gpt":0.2013983820967961,"score_spread":0.18815089178645422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170207822","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":[0.9754356,0.0029248751,0.00033652503,0.00183162,0.000007646782,0.000019043071,0.0015168627,0.000014231203,0.017913599],"genre_scores_gemma":[0.9983931,0.0009267608,0.00007125333,0.000034837878,0.0000063471125,0.000001751975,0.00031349697,0.0000023483667,0.00025004626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961853,0.000089321264,0.000030063258,0.000069084825,0.00008690817,0.00010616899],"domain_scores_gemma":[0.9946313,0.0019364768,0.0021176082,0.0003591087,0.00065476337,0.00030071975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089336344,0.00024255893,0.00028361203,0.0012863385,0.00049991155,0.00091271626,0.0003369223,0.00028956722,0.0024580678],"category_scores_gemma":[0.0062901704,0.00014555246,0.0003632549,0.0030122404,0.0012366765,0.0005454703,0.0008170186,0.00036142874,0.00019228579],"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":[0.0002664478,0.000120576566,0.932373,0.00036507493,0.00025984005,0.00067305943,0.0027050271,0.0016214948,0.0023024296,0.013420069,0.0012222241,0.04467083],"study_design_scores_gemma":[0.000018161132,0.000066451816,0.98919314,0.00008032117,0.00015993757,0.00013862249,0.002026552,0.0007231033,0.0005457664,0.0020809167,0.004959476,0.0000074287173],"about_ca_topic_score_codex":0.12128778,"about_ca_topic_score_gemma":0.1702927,"teacher_disagreement_score":0.12128778,"about_ca_system_score_codex":0.0018042792,"about_ca_system_score_gemma":0.0015624773,"threshold_uncertainty_score":0.24116355},"labels":[],"label_agreement":null},{"id":"W2170322973","doi":"10.7202/601521ar","title":"Les effets des déplacements de l’emploi sur la croissance de la productivité globale du travail au Canada","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Forestry; Humanities; Geography; Philosophy","score_opus":0.02449676771767669,"score_gpt":0.22123464962747216,"score_spread":0.19673788190979546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170322973","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":[0.9819134,0.0018075268,0.00070457056,0.0006556018,0.000015533782,0.00003944915,0.0022960496,0.000033080414,0.012534703],"genre_scores_gemma":[0.9762724,0.0020926807,0.00062375894,0.000121377554,0.0000108965205,0.00002949646,0.0013391227,0.000013112851,0.019497138],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991702,0.00007820042,0.000020568092,0.000099950346,0.00032145204,0.00030960207],"domain_scores_gemma":[0.9979742,0.00046473017,0.0003436756,0.0000810005,0.00078194396,0.00035435637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006832337,0.00040712536,0.00044720224,0.0010305577,0.0014044264,0.0015838026,0.0005337569,0.00032487846,0.004450251],"category_scores_gemma":[0.0017219991,0.00024334488,0.00076445955,0.0021040647,0.0009779866,0.00042980275,0.0008113365,0.0006026975,0.00029744842],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019323556,0.00017257343,0.836289,0.0005438134,0.00094123726,0.0006219511,0.007130243,0.027718427,0.00881276,0.0077809053,0.0046179984,0.10343871],"study_design_scores_gemma":[0.000015227507,0.000104785024,0.98276883,0.00004948429,0.000115485236,0.000021362417,0.003242597,0.0013844034,0.0011185552,0.0003297487,0.0108230105,0.000026556587],"about_ca_topic_score_codex":0.9701399,"about_ca_topic_score_gemma":0.98385,"teacher_disagreement_score":0.02986008,"about_ca_system_score_codex":0.023049062,"about_ca_system_score_gemma":0.02316851,"threshold_uncertainty_score":0.16723347},"labels":[],"label_agreement":null},{"id":"W2170689692","doi":"","title":"Survey of Inflation Expectations: Results Report 2nd Quarter 2009","year":2009,"lang":"en","type":"article","venue":"SUNScholar (Stellenbosch University)","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Inflation (cosmology); Economics; Econometrics; Geography; Physics","score_opus":0.0339813404771649,"score_gpt":0.20921380829801586,"score_spread":0.17523246782085097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170689692","genre_codex":"dataset","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":[0.16251892,0.0014179369,0.001170068,0.0010035026,0.00015771248,0.00026757043,0.8175621,0.0004925877,0.015409594],"genre_scores_gemma":[0.27929783,0.0023330068,0.001882555,0.00051270286,0.00019373455,0.00071519136,0.695937,0.00025363005,0.01887435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988495,0.00019246992,0.00022692798,0.000141603,0.00045524637,0.00013421694],"domain_scores_gemma":[0.99278134,0.0007980588,0.0021168597,0.00055017375,0.0033239706,0.00042963406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023202698,0.0004849896,0.0005963285,0.0021946942,0.00026296114,0.0006429419,0.00050188176,0.00048759652,0.00516552],"category_scores_gemma":[0.0057084993,0.00039214402,0.0005323554,0.0033101186,0.000084015424,0.0006302461,0.00077200576,0.00065611704,0.015475433],"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":[0.0007413805,0.00023454611,0.58763564,0.00035520163,0.0001424291,0.0000493811,0.00035978932,0.000505094,0.00043592657,0.00033354966,0.36190578,0.04730138],"study_design_scores_gemma":[0.000031070493,0.00006509237,0.9724391,0.00005528249,0.00002733875,0.000049793285,0.000100968675,0.00019672002,0.00024362485,0.000036348963,0.02674231,0.000012325642],"about_ca_topic_score_codex":0.02460585,"about_ca_topic_score_gemma":0.023058712,"teacher_disagreement_score":0.02460585,"about_ca_system_score_codex":0.00066387857,"about_ca_system_score_gemma":0.0007684694,"threshold_uncertainty_score":0.04892522},"labels":[],"label_agreement":null},{"id":"W2171185429","doi":"","title":"Productivity growth and prices in Canada: What can we learn from the U. S. Experience?","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"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":"Productivity; Inflation (cosmology); Economics; Goods and services; Monetary policy; Economy; Monetary economics; Macroeconomics","score_opus":0.043119845871287116,"score_gpt":0.25543039974179915,"score_spread":0.21231055387051204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171185429","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27535054,0.198894,0.0015273747,0.35489154,0.0019274536,0.00004731234,0.013853592,0.00014726938,0.15336095],"genre_scores_gemma":[0.786705,0.18624087,0.0012295658,0.009488834,0.00063225534,0.00001800532,0.002945738,0.00007074596,0.012668996],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975573,0.00014127314,0.0000998089,0.00020984336,0.0012020436,0.0007897368],"domain_scores_gemma":[0.9884976,0.0013350036,0.0009993158,0.00018861171,0.0075645912,0.0014149657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015385653,0.0004089466,0.0007491159,0.0024610795,0.0041896263,0.0058926074,0.00091256894,0.0012737063,0.006902325],"category_scores_gemma":[0.01149204,0.00023519165,0.00061443564,0.01471718,0.0025867007,0.0028208215,0.0012417802,0.0035586215,0.0005595701],"study_design_candidate":"simulation_or_modeling","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":[0.0005079042,0.00015862293,0.29511493,0.0013397617,0.0003009724,0.0014864096,0.015277984,0.0025983339,0.00045522297,0.071668126,0.17618735,0.4349043],"study_design_scores_gemma":[0.000039261366,0.00009331507,0.6864972,0.0018782156,0.00018559865,0.00047946614,0.020708425,0.0012372006,0.0006481602,0.010243703,0.27775773,0.00023180197],"about_ca_topic_score_codex":0.9955804,"about_ca_topic_score_gemma":0.9966433,"teacher_disagreement_score":0.0675998,"about_ca_system_score_codex":0.0675998,"about_ca_system_score_gemma":0.089473404,"threshold_uncertainty_score":0.4904732},"labels":[],"label_agreement":null},{"id":"W2171486131","doi":"10.1111/1468-0297.00732","title":"Technological Distance, Growth and Scale Effects","year":2002,"lang":"en","type":"article","venue":"The Economic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Exploit; Scale effects; Endogenous growth theory; Returns to scale; Economics; Stock (firearms); Scale (ratio); Stock market; Microeconomics; Work (physics); Growth model; Industrial organization; Economies of scale; Production (economics); Market economy; Human capital; Engineering; Computer science","score_opus":0.015432655852693718,"score_gpt":0.17595517774247033,"score_spread":0.16052252188977661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171486131","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":[0.41275257,0.005225753,0.38419086,0.011786983,0.00030180428,0.00012258971,0.00051859755,0.0004239762,0.18467689],"genre_scores_gemma":[0.9616392,0.0021264218,0.008565867,0.00023228572,0.00016752914,0.00006143687,0.00008163721,0.00003405925,0.02709153],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995377,0.00013635478,0.000015951122,0.00009145126,0.00008903884,0.00012949193],"domain_scores_gemma":[0.9966853,0.0016232644,0.0008266936,0.00031709645,0.00021362228,0.00033403706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009849131,0.00078500586,0.0007226652,0.00081910664,0.0007849931,0.002818229,0.0009953959,0.0019309269,0.007912223],"category_scores_gemma":[0.0043751295,0.00035271188,0.00094880926,0.0010317728,0.0026978976,0.003776007,0.002452139,0.0019477106,0.0011772352],"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":[0.00004841304,0.0000834601,0.0022737223,0.00007622261,0.00003657992,0.00031952088,0.00019595337,0.1101695,0.0009781615,0.869971,0.0014841335,0.014363325],"study_design_scores_gemma":[0.000093401,0.00011082846,0.0017667996,0.000040481165,0.00006142405,0.00021093778,0.00013551729,0.2013812,0.00055582623,0.7868666,0.008724433,0.000052550546],"about_ca_topic_score_codex":0.004647079,"about_ca_topic_score_gemma":0.0033449472,"teacher_disagreement_score":0.007912223,"about_ca_system_score_codex":0.0013529557,"about_ca_system_score_gemma":0.0008915399,"threshold_uncertainty_score":0.026468992},"labels":[],"label_agreement":null},{"id":"W2171533913","doi":"","title":"Knowledge Flow in East Asia and Beyond","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"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":"East Asia; China; Knowledge flow; Trademark; Geography; International trade; Political science; Economic geography; Economy; Business; Economics","score_opus":0.05368978535610067,"score_gpt":0.28096095026761986,"score_spread":0.2272711649115192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171533913","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":[0.8717414,0.009562898,0.0027623083,0.0025334228,0.00004864002,0.000018503197,0.000511474,0.000049126767,0.11277228],"genre_scores_gemma":[0.9936347,0.0029668396,0.00041817818,0.00014528644,0.000036361012,0.0000066772186,0.00014500046,0.0000039290944,0.0026429587],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99972254,0.000061895116,0.00002150121,0.0000546035,0.00006757554,0.00007191506],"domain_scores_gemma":[0.99794215,0.00078444974,0.0006939759,0.00011216632,0.00028088782,0.00018641645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060188613,0.00018033775,0.00026520275,0.003284197,0.000595581,0.0032040577,0.00022451975,0.0004448646,0.0049990816],"category_scores_gemma":[0.002578253,0.0000985705,0.00020534614,0.0049853767,0.00079862116,0.0055980044,0.0015029823,0.00036939164,0.00032246846],"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":[0.0002361826,0.0001508625,0.32639694,0.0009899605,0.00023524927,0.001926664,0.041328575,0.0046727783,0.002936509,0.291892,0.006167634,0.3230667],"study_design_scores_gemma":[0.000034977682,0.00016419268,0.6491994,0.0014959791,0.00028253338,0.0015476423,0.035981122,0.007258896,0.003005604,0.1572818,0.14366047,0.000087238666],"about_ca_topic_score_codex":0.0058383527,"about_ca_topic_score_gemma":0.0039082523,"teacher_disagreement_score":0.0058383527,"about_ca_system_score_codex":0.00090300234,"about_ca_system_score_gemma":0.00091943453,"threshold_uncertainty_score":0.016723573},"labels":[],"label_agreement":null},{"id":"W2171682475","doi":"10.7202/012836ar","title":"Les technologies de l’information et les économies du G7","year":2006,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","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":true,"route_about_ca":true,"ca_institutions":"","funders":"Organisation de Coopération et de Développement Économiques","keywords":"Political science; Humanities; Art","score_opus":0.0321014249058666,"score_gpt":0.20931002089505074,"score_spread":0.17720859598918415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171682475","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":[0.5637954,0.016862618,0.008648724,0.0107995635,0.00014979983,0.00008206953,0.0012736587,0.00012043368,0.39826775],"genre_scores_gemma":[0.95492727,0.010567792,0.0035027906,0.00065194967,0.00008803898,0.00006232875,0.00072876253,0.00004172157,0.02942954],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99825853,0.0003696095,0.000042181775,0.000159555,0.00069316395,0.00047696987],"domain_scores_gemma":[0.99670285,0.0015661815,0.0005813308,0.0002177472,0.0006808155,0.00025106233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011619598,0.00045435774,0.00029943357,0.0049240524,0.0018321109,0.007925548,0.00048677454,0.0012739495,0.008406257],"category_scores_gemma":[0.0036497705,0.00027081434,0.0006306343,0.00665073,0.0034864913,0.004560597,0.0019073199,0.001963394,0.001281286],"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":[0.00009455373,0.00004583304,0.026160846,0.00022102674,0.00007611225,0.00045473204,0.0047710985,0.0037038461,0.00086840685,0.89560634,0.0048471987,0.063150115],"study_design_scores_gemma":[0.00005883841,0.00022537899,0.20786361,0.0015201581,0.00021269315,0.0008970011,0.018898845,0.006203017,0.004688671,0.18660289,0.5726927,0.00013613341],"about_ca_topic_score_codex":0.17584954,"about_ca_topic_score_gemma":0.13515383,"teacher_disagreement_score":0.17584954,"about_ca_system_score_codex":0.012613185,"about_ca_system_score_gemma":0.007824061,"threshold_uncertainty_score":0.349652},"labels":[],"label_agreement":null},{"id":"W2171808061","doi":"10.4284/0038-4038-2011.207","title":"Patentability and Knowledge Spillovers of Basic R&amp;D","year":2012,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Patentability; Profit (economics); Economics; Welfare; Basic research; Industrial organization; Microeconomics; Patent law; Computer science; Market economy; Intellectual property; Law; Political science","score_opus":0.04729276981813236,"score_gpt":0.22845813780571475,"score_spread":0.1811653679875824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171808061","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":[0.78901154,0.0022168492,0.094845496,0.0046599824,0.00006922539,0.00020564337,0.00042142396,0.00019056283,0.10837933],"genre_scores_gemma":[0.99325365,0.0006664494,0.0017867611,0.00008341171,0.000051470965,0.000033527213,0.00003785139,0.000006975583,0.0040798746],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980836,0.00073947053,0.000084384854,0.00025617078,0.00040100503,0.0004354554],"domain_scores_gemma":[0.97580904,0.016281506,0.0038623724,0.0015840656,0.0011222459,0.0013408399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053685256,0.0007051048,0.0010235036,0.00248912,0.00088654284,0.0031566278,0.00083289616,0.0015964677,0.009271053],"category_scores_gemma":[0.018953191,0.00044147403,0.0011018096,0.001399669,0.0035931638,0.0053095776,0.0028603126,0.001400885,0.00078206],"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":[0.00049059297,0.0006330054,0.024544826,0.0003855989,0.00019386633,0.0008778555,0.0006893331,0.19545472,0.0063816123,0.71058077,0.0014387202,0.058329087],"study_design_scores_gemma":[0.00035130983,0.0004965469,0.032275986,0.00016923812,0.00026298597,0.00040960585,0.0006954911,0.13335866,0.0044979495,0.8178018,0.009584222,0.0000962411],"about_ca_topic_score_codex":0.0027206088,"about_ca_topic_score_gemma":0.0020374118,"teacher_disagreement_score":0.009271053,"about_ca_system_score_codex":0.002857996,"about_ca_system_score_gemma":0.0022955092,"threshold_uncertainty_score":0.03101474},"labels":[],"label_agreement":null},{"id":"W2182173836","doi":"","title":"The Widening Canada-US Manufacturing Productivity Gap","year":2002,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Productivity; Manufacturing; Economics; Labour economics; Multifactor productivity; Agricultural economics; Demographic economics; Total factor productivity; Business; Economic growth","score_opus":0.25714950888770227,"score_gpt":0.41945778474244944,"score_spread":0.16230827585474716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182173836","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":[0.38029778,0.061029963,0.0037050983,0.13946293,0.0043263817,0.00013685404,0.09091201,0.0011302574,0.31899863],"genre_scores_gemma":[0.907837,0.016962517,0.0030452576,0.009918093,0.00060877705,0.00006929642,0.021914849,0.00012057695,0.0395237],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99795866,0.00007713111,0.00007474563,0.00020444348,0.0009831704,0.0007018639],"domain_scores_gemma":[0.9963014,0.00018199492,0.00028751805,0.00008045411,0.002504032,0.0006446345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012867232,0.0004242221,0.00031103753,0.003351401,0.0032657322,0.0028621056,0.0008784863,0.0006664644,0.013242435],"category_scores_gemma":[0.003294249,0.00017354116,0.00047003877,0.008239881,0.0006396622,0.0010059634,0.0019703272,0.0016287799,0.001491344],"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":[0.0003605811,0.000111925896,0.15629937,0.0010622615,0.0001601966,0.0013824714,0.00383724,0.002180956,0.0013993746,0.11824292,0.4481635,0.2667992],"study_design_scores_gemma":[0.000025561569,0.00004124411,0.4927915,0.000695327,0.00005082303,0.00045787822,0.003387677,0.001470447,0.0009212838,0.0042261686,0.49587527,0.000056834262],"about_ca_topic_score_codex":0.96170396,"about_ca_topic_score_gemma":0.9781358,"teacher_disagreement_score":0.039867815,"about_ca_system_score_codex":0.039867815,"about_ca_system_score_gemma":0.057836417,"threshold_uncertainty_score":0.2892626},"labels":[],"label_agreement":null},{"id":"W2182433554","doi":"10.1093/oep/gpv058","title":"ICT use and total factor productivity growth: intangible capital or productive externalities?","year":2015,"lang":"en","type":"article","venue":"Oxford Economic Papers","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Total factor productivity; Information and Communications Technology; Economics; Productivity; Externality; Investment (military); Capital (architecture); Upstream (networking); Capital deepening; Foreign direct investment; Production (economics); Human capital; Macroeconomics; Market economy; Capital formation; Financial capital; Microeconomics; Engineering","score_opus":0.06107747798236133,"score_gpt":0.22392496744981988,"score_spread":0.16284748946745856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182433554","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":[0.9677425,0.006084348,0.0030769443,0.0027946848,0.000057293702,0.000019249479,0.0021910162,0.000062729196,0.017971098],"genre_scores_gemma":[0.9941012,0.0026773352,0.00024990004,0.0001336805,0.00006460588,0.0000071956006,0.0008285064,0.000009437805,0.0019280748],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998004,0.000022856762,0.00001539432,0.000046319765,0.000029751027,0.000085340725],"domain_scores_gemma":[0.9971909,0.0010614467,0.0010083177,0.00021745032,0.00021625539,0.00030573542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050901773,0.00055315526,0.00053012714,0.0022049765,0.00022035262,0.0017291403,0.0002962024,0.00063334696,0.005708857],"category_scores_gemma":[0.0030594554,0.0001586863,0.0008578107,0.0038989629,0.0011897496,0.0027246496,0.0009938234,0.00065810164,0.0007692255],"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":[0.00019152914,0.00010345533,0.9150867,0.0002582111,0.00034505737,0.0009326469,0.0005624098,0.011492176,0.0009357438,0.012604431,0.0020929575,0.0553946],"study_design_scores_gemma":[0.000014654177,0.00008187392,0.9648488,0.00021630482,0.00024383949,0.0004197189,0.0015258773,0.004246721,0.0014807133,0.01723191,0.009649025,0.000040543444],"about_ca_topic_score_codex":0.010951104,"about_ca_topic_score_gemma":0.01110228,"teacher_disagreement_score":0.010951104,"about_ca_system_score_codex":0.00094157836,"about_ca_system_score_gemma":0.0006537483,"threshold_uncertainty_score":0.02177471},"labels":[],"label_agreement":null},{"id":"W2182530930","doi":"","title":"A Theory of Market Pioneers","year":2012,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Scope (computer science); Variety (cybernetics); Economics; Product (mathematics); Economies of scope; Product lifecycle; Industrial organization; Neoclassical economics; New product development; Microeconomics; Computer science; Management; Economies of scale; Artificial intelligence; Mathematics","score_opus":0.03013654499648124,"score_gpt":0.19187300423372153,"score_spread":0.16173645923724028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182530930","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":[0.055022147,0.0071159345,0.33271012,0.014785571,0.0005978188,0.00031333545,0.0005798614,0.0002767397,0.58859855],"genre_scores_gemma":[0.7841493,0.007097763,0.06095041,0.0026950915,0.0021046998,0.00072468875,0.00030004376,0.00011474282,0.14186338],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988154,0.00033743723,0.00003544126,0.0003436099,0.00025672195,0.00021136612],"domain_scores_gemma":[0.99622786,0.0020266268,0.00043606284,0.00039366994,0.00044774805,0.00046802347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024996188,0.00069065235,0.0008389702,0.0019161599,0.001906505,0.003628385,0.0019127004,0.003276162,0.02998383],"category_scores_gemma":[0.005336742,0.00050851266,0.0012710721,0.0011667368,0.0053082183,0.0070672682,0.0016789592,0.0028541689,0.0035129718],"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":[0.0000047394337,0.000009575819,0.00018309389,0.000025195404,0.000005008662,0.000029275387,0.00011276,0.0010927275,0.000098594996,0.99375135,0.0014398416,0.0032477928],"study_design_scores_gemma":[0.00003563595,0.0000391147,0.0002580315,0.00002921058,0.000010446131,0.0001286725,0.00007895075,0.007696998,0.00008744228,0.9643057,0.027317515,0.000012359647],"about_ca_topic_score_codex":0.0016428251,"about_ca_topic_score_gemma":0.001072764,"teacher_disagreement_score":0.02998383,"about_ca_system_score_codex":0.0019417807,"about_ca_system_score_gemma":0.0014009458,"threshold_uncertainty_score":0.100305855},"labels":[],"label_agreement":null},{"id":"W2182655602","doi":"","title":"Agricultural biotechnology and industry structure.","year":2001,"lang":"en","type":"article","venue":"MOspace Institutional Repository (University of Missouri)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Intellectual property; Complementarity (molecular biology); Industrial organization; Price discrimination; Vertical integration; Competition (biology); Business; Agriculture; Economies of scope; Distribution (mathematics); Upstream (networking); Economies of scale; Scope (computer science); Mergers and acquisitions; Incentive; Economic surplus; Economics; Marketing; Market economy; Finance","score_opus":0.012299997236647865,"score_gpt":0.15949140344127913,"score_spread":0.14719140620463125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182655602","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":[0.083819665,0.030491665,0.004947591,0.022834273,0.00046398348,0.00008025273,0.005593628,0.00014124582,0.8516277],"genre_scores_gemma":[0.75330675,0.017842088,0.002366488,0.0017480003,0.00046789326,0.00007181065,0.0040457025,0.000033557873,0.22011772],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996087,0.00007181216,0.00001439194,0.00006744919,0.00017532217,0.00006233451],"domain_scores_gemma":[0.9989793,0.00024938336,0.0003295463,0.000040995594,0.00025029163,0.00015045702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033661228,0.00019405693,0.00015716672,0.0015902778,0.0004322193,0.0018893327,0.00018974708,0.00044130717,0.048571937],"category_scores_gemma":[0.0018656045,0.000060007118,0.00011083226,0.004382778,0.0006832705,0.0011171949,0.0007023179,0.00044131835,0.009307515],"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":[0.00006575332,0.00007340602,0.06231468,0.00029158982,0.00003487446,0.00019990627,0.00062698976,0.0019351508,0.00037804947,0.6566447,0.07221407,0.20522074],"study_design_scores_gemma":[0.000027908929,0.00009387822,0.08880801,0.00027923775,0.000018696666,0.0003807987,0.0010815875,0.0010750076,0.0001768679,0.22434041,0.6837054,0.000012196637],"about_ca_topic_score_codex":0.005979137,"about_ca_topic_score_gemma":0.008750437,"teacher_disagreement_score":0.048571937,"about_ca_system_score_codex":0.0015910737,"about_ca_system_score_gemma":0.0012656756,"threshold_uncertainty_score":0.16248935},"labels":[],"label_agreement":null},{"id":"W2183039141","doi":"","title":"From Inequality to Growth: The Role of Knowledge Creation","year":2009,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Inequality; Knowledge creation; Distribution (mathematics); Economics; Econometrics; Microeconomics; Mathematics; Operations management","score_opus":0.027968355281863644,"score_gpt":0.23379013025271655,"score_spread":0.2058217749708529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183039141","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":[0.36773488,0.030930024,0.0813428,0.14167494,0.0009991482,0.0001287942,0.00071430864,0.00015348414,0.37632167],"genre_scores_gemma":[0.98608774,0.0062731477,0.0016022664,0.0010884606,0.00045778306,0.00003569302,0.000045152407,0.000021336502,0.004388416],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987664,0.0005385451,0.000033086326,0.0001846011,0.00016313378,0.00031424264],"domain_scores_gemma":[0.991734,0.006003771,0.0009558787,0.0003138173,0.00045718992,0.0005354224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014325018,0.00075098104,0.0007479064,0.001375553,0.0014173655,0.0045864256,0.0007210449,0.0019675114,0.007562926],"category_scores_gemma":[0.008178092,0.00020661722,0.0006081403,0.002079838,0.0058618058,0.008103007,0.0039084437,0.002724717,0.0004493315],"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":[0.00010836695,0.00011262644,0.013749297,0.00029071278,0.00004868734,0.00045158586,0.0014486796,0.0088116005,0.0004903389,0.9372515,0.002952396,0.03428418],"study_design_scores_gemma":[0.00002352813,0.000074733536,0.008642472,0.00025167907,0.000038835788,0.0001371929,0.001721946,0.007968308,0.0005114367,0.96682984,0.01376413,0.000035990815],"about_ca_topic_score_codex":0.0042942897,"about_ca_topic_score_gemma":0.0024718,"teacher_disagreement_score":0.007562926,"about_ca_system_score_codex":0.0019123919,"about_ca_system_score_gemma":0.0015794918,"threshold_uncertainty_score":0.025300562},"labels":[],"label_agreement":null},{"id":"W2184381588","doi":"","title":"Productivity and Convergence Trends in the OECD: Evidence from a Normalized Quadratic Variable Pro…t Function","year":2005,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Convergence (economics); Productivity; Total factor productivity; Econometrics; Economics; European union; Panel data; Unit root; Mathematics; International trade; Macroeconomics","score_opus":0.050453168687190526,"score_gpt":0.22954397039058427,"score_spread":0.17909080170339375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2184381588","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":[0.9869943,0.0011062843,0.0013061882,0.00030151682,0.000012345082,0.0000071197546,0.001041749,0.00005251313,0.009177986],"genre_scores_gemma":[0.9974287,0.0005645218,0.00031451145,0.000029411363,0.000016236378,0.0000062475456,0.001159776,0.00001260468,0.0004678553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988961,0.00033915218,0.00011196272,0.00017281905,0.0003012831,0.00017869985],"domain_scores_gemma":[0.9899155,0.002880112,0.0032877263,0.0010314613,0.0025215037,0.00036379823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025366105,0.000281573,0.0003557651,0.003945221,0.0003988696,0.0014589584,0.0002852736,0.000283355,0.0012826932],"category_scores_gemma":[0.016737208,0.00010993378,0.000395516,0.0068208077,0.00094921526,0.0012655377,0.0010369736,0.00042876744,0.00035402318],"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":[0.00029321635,0.00006004151,0.9359148,0.000079025354,0.0001536746,0.00032418556,0.0011281951,0.011048734,0.00029349918,0.005691828,0.002192058,0.04282084],"study_design_scores_gemma":[0.000019060932,0.00009835068,0.98294824,0.00005364432,0.000077460936,0.00023389104,0.0015714889,0.005456791,0.0006289044,0.002295904,0.0065935142,0.00002282309],"about_ca_topic_score_codex":0.038953163,"about_ca_topic_score_gemma":0.017412852,"teacher_disagreement_score":0.038953163,"about_ca_system_score_codex":0.0010429333,"about_ca_system_score_gemma":0.0007050507,"threshold_uncertainty_score":0.07745284},"labels":[],"label_agreement":null},{"id":"W2185656141","doi":"","title":"Revisiting Cross-Country Correlation Anomalies","year":2007,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Investment (military); Economics; Capital (architecture); Consumption (sociology); Uncorrelated; Econometrics; Cross country; Business cycle; Monetary economics; Macroeconomics; Demographic economics; Mathematics; Statistics; Geography","score_opus":0.023361247672360766,"score_gpt":0.2374417171977954,"score_spread":0.21408046952543464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2185656141","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":[0.7403575,0.00075440947,0.24288383,0.0019506162,0.00021026953,0.000031604126,0.00078548497,0.000731357,0.012295005],"genre_scores_gemma":[0.9935108,0.0002632768,0.0046543772,0.000107725515,0.000060930608,0.000008542917,0.00017771439,0.00008382074,0.0011329552],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9993674,0.0001997531,0.00003655796,0.00016432621,0.00012161051,0.000110365916],"domain_scores_gemma":[0.9956108,0.0017587253,0.001124199,0.0008829955,0.00048234774,0.00014098377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020860466,0.00038663705,0.0006524191,0.0008591114,0.00038073235,0.0014197843,0.0006651325,0.0007264304,0.0015758579],"category_scores_gemma":[0.0119823385,0.0004324882,0.0005461726,0.0013595724,0.00054682815,0.0018409053,0.0013288948,0.0013907519,0.00023258146],"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":[0.00014505032,0.00009997755,0.13776371,0.00015418515,0.00034997275,0.0016380781,0.0004650887,0.4849154,0.0071013696,0.2920748,0.0075126328,0.067779645],"study_design_scores_gemma":[0.000011866215,0.00002633212,0.022759277,0.000022219065,0.000042316522,0.00019123797,0.000079372396,0.9017262,0.001980226,0.07038634,0.002744608,0.00003007042],"about_ca_topic_score_codex":0.008949819,"about_ca_topic_score_gemma":0.0076458305,"teacher_disagreement_score":0.008949819,"about_ca_system_score_codex":0.00091327215,"about_ca_system_score_gemma":0.0010051175,"threshold_uncertainty_score":0.017795444},"labels":[],"label_agreement":null},{"id":"W2185733011","doi":"10.19030/jabr.v28i5.7240","title":"The Decline Of Manufacturing In The United States And Its Impact On Income Inequality","year":2012,"lang":"en","type":"article","venue":"Journal of Applied Business Research (JABR)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":9,"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":"Quarter (Canadian coin); Recession; Unemployment; Economics; Wages and salaries; Gini coefficient; Distribution (mathematics); Gross domestic income; Gross domestic product; Product (mathematics); Inequality; China; Economic inequality; Demographic economics; Labour economics; Economic growth; Geography; Income inequality metrics; Macroeconomics","score_opus":0.09442607584978994,"score_gpt":0.3430390519690239,"score_spread":0.24861297611923394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2185733011","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":[0.81185234,0.02350606,0.00045744315,0.070949525,0.0007480071,0.000012195942,0.006666692,0.0000438108,0.0857639],"genre_scores_gemma":[0.9847622,0.007075571,0.000116078256,0.0021956482,0.00038084938,0.000007781149,0.0022086166,0.000011449762,0.003241789],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969435,0.000058964913,0.000016519187,0.000037770595,0.00007730432,0.00011501626],"domain_scores_gemma":[0.9990534,0.000117334144,0.00024071407,0.000028794033,0.00022709295,0.00033261307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049416354,0.0001562199,0.00019217399,0.0011273781,0.000852743,0.001961249,0.00025941437,0.00047725366,0.004887272],"category_scores_gemma":[0.0012423345,0.000083731335,0.0002384055,0.0022520337,0.0005424093,0.0009535286,0.0013687747,0.0013035999,0.00051703805],"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":[0.00025918585,0.00017582439,0.762762,0.00015289092,0.00009305515,0.0005215507,0.0023122109,0.0013993107,0.0003859733,0.02564426,0.06734143,0.13895226],"study_design_scores_gemma":[0.0000056214026,0.000033620257,0.968458,0.00017096195,0.000016507214,0.000081579776,0.0021399837,0.00047970723,0.00010354119,0.0020308732,0.026468294,0.000011184571],"about_ca_topic_score_codex":0.08836358,"about_ca_topic_score_gemma":0.09864809,"teacher_disagreement_score":0.08836358,"about_ca_system_score_codex":0.0013770091,"about_ca_system_score_gemma":0.00070789224,"threshold_uncertainty_score":0.17569852},"labels":[],"label_agreement":null},{"id":"W2187769091","doi":"","title":"Education, Health and the Dynamics of Cross-Country Productivity Difierences","year":2012,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Total factor productivity; Endogeneity; Economics; Human capital; Productivity; Convergence (economics); Demographic economics; Econometrics; Economic growth","score_opus":0.024117735443599624,"score_gpt":0.25906055944623996,"score_spread":0.23494282400264033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2187769091","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":[0.98835874,0.0028093623,0.004205544,0.0007873703,0.000028941062,0.000013217193,0.0012640761,0.000037840186,0.0024948851],"genre_scores_gemma":[0.99624497,0.0011775044,0.00050409115,0.000060142498,0.000021348993,0.0000076198007,0.0007498874,0.000004751245,0.0012296913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915016,0.00024273638,0.0000624219,0.00015430043,0.00010967364,0.0002806467],"domain_scores_gemma":[0.98914427,0.005713426,0.003653685,0.00056823035,0.0004264785,0.000493874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025127719,0.00042694045,0.00059966557,0.0023537446,0.0003491028,0.0020011133,0.0003288124,0.0006097348,0.003293413],"category_scores_gemma":[0.00984602,0.0002090967,0.0008146833,0.0036598775,0.0009473563,0.0014640159,0.0011932071,0.0008711187,0.0004002074],"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":[0.00016757977,0.000058297923,0.9342693,0.00009666435,0.00051341945,0.00055464107,0.0006669484,0.020173308,0.00038149528,0.006496819,0.00071117724,0.03591029],"study_design_scores_gemma":[0.00003372408,0.0001519896,0.96727383,0.000071193506,0.00015741076,0.00036878162,0.0010616075,0.017873945,0.00065819535,0.007734293,0.004566895,0.000048076334],"about_ca_topic_score_codex":0.014691894,"about_ca_topic_score_gemma":0.009292524,"teacher_disagreement_score":0.014691894,"about_ca_system_score_codex":0.0007875155,"about_ca_system_score_gemma":0.00045603307,"threshold_uncertainty_score":0.029212773},"labels":[],"label_agreement":null},{"id":"W2188411601","doi":"10.20460/jgsm.2012615775","title":"GLOBAL INNOVATION INDEX AND TURKEY S STATUS AMONG THE NEXT 11 COUNTRIES","year":2012,"lang":"en","type":"article","venue":"Journal of Global Strategic Management","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Index (typography); Regional science; Business; Political science; Economic geography; Geography; Computer science; World Wide Web","score_opus":0.03881595863472375,"score_gpt":0.2358021620267555,"score_spread":0.19698620339203174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2188411601","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":[0.9842016,0.0008782882,0.0001798198,0.00020266176,0.000024501654,0.0000058403803,0.0007605025,0.00001387206,0.013732837],"genre_scores_gemma":[0.99840456,0.0002729914,0.00016575019,0.000013834366,0.000012849502,0.000005195353,0.0005804933,0.0000024660012,0.0005419184],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996649,0.000045375884,0.000036629335,0.00005893962,0.00007783979,0.000116433104],"domain_scores_gemma":[0.9984674,0.0002452593,0.000662648,0.0000456425,0.00032682548,0.00025221368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046524566,0.00018904766,0.00020181591,0.0027509416,0.0002460667,0.0013030719,0.00014804697,0.000216958,0.0017560091],"category_scores_gemma":[0.0013528817,0.000043612592,0.0002454219,0.002635251,0.00036349913,0.0006159158,0.0006139793,0.00033181123,0.00027292766],"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":[0.00012828043,0.000060888906,0.94883513,0.00009892666,0.000083828025,0.0002674022,0.000276277,0.0016172676,0.0007011369,0.0045787017,0.0017110079,0.04164105],"study_design_scores_gemma":[0.000007354361,0.000099148674,0.9908422,0.000042860298,0.000032401804,0.00023865029,0.00060397474,0.00085791707,0.00036021855,0.00052556343,0.006376109,0.0000136945055],"about_ca_topic_score_codex":0.0032450825,"about_ca_topic_score_gemma":0.0021093655,"teacher_disagreement_score":0.0032450825,"about_ca_system_score_codex":0.0006036472,"about_ca_system_score_gemma":0.00061540643,"threshold_uncertainty_score":0.0064523816},"labels":[],"label_agreement":null},{"id":"W2189074089","doi":"10.18374/rbr-15-3.1","title":"EXAMINING THE SUCCESS FACTORS OF HIGHLY INNOVATIVE COUNTRIES","year":2015,"lang":"en","type":"article","venue":"Review of Business Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Index (typography); Sample (material); Life expectancy; Business; Value (mathematics); Developing country; Politics; Political instability; Emerging markets; Benchmark (surveying); Industrial organization; Marketing; Economics; Economic growth; Political science; Computer science; Sociology","score_opus":0.29014819447464174,"score_gpt":0.3549001166306944,"score_spread":0.06475192215605263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2189074089","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":[0.9894587,0.00048667938,0.00043245312,0.00012601774,0.000007759562,0.000016041398,0.00024624978,0.000008384833,0.009217663],"genre_scores_gemma":[0.99912506,0.0002230375,0.00016062736,0.000009701074,0.000007655052,0.0000063159882,0.00018540818,0.0000025480233,0.00027973915],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989009,0.00024381343,0.00009459585,0.000119427976,0.00029937527,0.0003419175],"domain_scores_gemma":[0.9899704,0.002671411,0.003885381,0.00042010585,0.0015508973,0.0015017783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018466946,0.00035878844,0.00042637548,0.006385195,0.0006468265,0.003272519,0.0002915582,0.00033612247,0.0033790378],"category_scores_gemma":[0.0076912134,0.00014803397,0.00060917286,0.00786625,0.0007559018,0.0010376935,0.00179201,0.0006326965,0.00056954974],"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":[0.00002546267,0.000040967356,0.9798288,0.00006850647,0.00012244635,0.00021961365,0.00044841942,0.0008908513,0.00025114894,0.0023591022,0.00035167957,0.015393068],"study_design_scores_gemma":[0.0000060935886,0.00007543493,0.9944174,0.000051000996,0.000050523962,0.00015796594,0.0017047522,0.0006740854,0.0003129474,0.00085953955,0.0016788604,0.000011346214],"about_ca_topic_score_codex":0.003756108,"about_ca_topic_score_gemma":0.0031311065,"teacher_disagreement_score":0.006385195,"about_ca_system_score_codex":0.000601058,"about_ca_system_score_gemma":0.0009270108,"threshold_uncertainty_score":0.011304021},"labels":[],"label_agreement":null},{"id":"W2192085738","doi":"","title":"Is Potential Output Growth Falling","year":2015,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Economic Growth and Productivity","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":"Falling (accident); Economics; Unemployment rate; Potential output; Unemployment; Estimation; Growth rate; Econometrics; Macroeconomics; Mathematics","score_opus":0.048747152919231845,"score_gpt":0.194840407755965,"score_spread":0.14609325483673316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2192085738","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":[0.94661534,0.0012381839,0.0033048436,0.0064109825,0.00006348543,0.000008281344,0.0031964278,0.00011352526,0.03904889],"genre_scores_gemma":[0.9974503,0.00042554154,0.00017995019,0.00015978793,0.00003130933,0.0000041935023,0.0007235959,0.000020670217,0.0010046269],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993218,0.00008363687,0.000043905307,0.0002043763,0.00014622603,0.00020004768],"domain_scores_gemma":[0.99456596,0.0013578794,0.0024222508,0.00030236872,0.00090976804,0.0004418796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014208264,0.00016273749,0.0004284216,0.0010912598,0.0005180987,0.0034760183,0.00047339,0.0008307105,0.0056030024],"category_scores_gemma":[0.010187567,0.00018293262,0.00041741144,0.0024964367,0.0010920954,0.0027044206,0.0009471731,0.0009473315,0.0008691554],"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":[0.00036713472,0.00004338793,0.8294521,0.00018424865,0.00017378556,0.00056002504,0.0023650925,0.008692839,0.0024577302,0.06651194,0.0072404863,0.081951305],"study_design_scores_gemma":[0.000020195308,0.00006937376,0.9124378,0.00014870617,0.0000496308,0.00035518024,0.0029249897,0.010413068,0.0012678524,0.043672204,0.028597979,0.000043095282],"about_ca_topic_score_codex":0.018473461,"about_ca_topic_score_gemma":0.0071577686,"teacher_disagreement_score":0.018473461,"about_ca_system_score_codex":0.0016415548,"about_ca_system_score_gemma":0.00097363646,"threshold_uncertainty_score":0.03673184},"labels":[],"label_agreement":null},{"id":"W219548385","doi":"","title":"The Consensus Economic Outlook Spring 2012 . . . A Hoped-For Sense of Renewal","year":2012,"lang":"en","type":"article","venue":"The journal of business forecasting","topic":"Economic Growth and Productivity","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":"Atlanta; Warrant; Management; Library science; Political science; Economic history; Economics; Finance; History; Metropolitan area","score_opus":0.061582804971966415,"score_gpt":0.22276976306630594,"score_spread":0.16118695809433953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W219548385","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009108605,0.015716229,0.00094317173,0.31137735,0.048136313,0.00006105493,0.007599174,0.0006607908,0.614595],"genre_scores_gemma":[0.016798042,0.018399121,0.0017807784,0.031994626,0.008760957,0.00015760798,0.008124225,0.00047355637,0.9135111],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99911624,0.000103751925,0.00004761398,0.00009751138,0.00044317477,0.00019169284],"domain_scores_gemma":[0.99895906,0.00007536368,0.000066720844,0.00009384349,0.0005423652,0.0002627179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018391195,0.0008652037,0.000513369,0.0009853641,0.0018697288,0.009953034,0.0007310752,0.0048507857,0.117041714],"category_scores_gemma":[0.0060421326,0.0003134389,0.0004716289,0.0016172674,0.00077318965,0.0050591654,0.0020783274,0.005116394,0.09671167],"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":[0.000008201168,0.0000063520206,0.00008395513,0.000018321465,0.0000013850971,0.000012225404,0.000016294454,0.000023137323,0.000018567122,0.008271942,0.974707,0.01683261],"study_design_scores_gemma":[0.0000018024067,0.0000026475807,0.00036577592,0.000055303728,7.270917e-7,0.000008102267,0.00004072342,0.000016558586,0.000010881313,0.0020038283,0.9974905,0.0000031547781],"about_ca_topic_score_codex":0.01167704,"about_ca_topic_score_gemma":0.019423516,"teacher_disagreement_score":0.117041714,"about_ca_system_score_codex":0.0030007001,"about_ca_system_score_gemma":0.0063633234,"threshold_uncertainty_score":0.3915435},"labels":[],"label_agreement":null},{"id":"W2207339555","doi":"","title":"Convergence Across Provincial Economies in Canada: Trends, Drivers, and Implications","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Redistribution (election); Inequality; Productivity; Economics; Economic inequality; Economic geography; Development economics; Economy; Economic growth; Political science","score_opus":0.03468508388926917,"score_gpt":0.2755129669630147,"score_spread":0.24082788307374553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2207339555","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":[0.97490454,0.0043518627,0.000552587,0.0043591065,0.000045123572,0.000043706998,0.0065915245,0.000053173277,0.009098303],"genre_scores_gemma":[0.9941749,0.001852499,0.0004407971,0.00013680245,0.00001208129,0.000012599485,0.002115364,0.000015272619,0.0012397325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99798775,0.0001474297,0.00013124831,0.00024954102,0.00067326106,0.0008108225],"domain_scores_gemma":[0.9900331,0.00080766494,0.0011260163,0.00028106346,0.006686688,0.0010653757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023643766,0.00030915224,0.0006886327,0.0051570707,0.0035573519,0.002479493,0.0012216788,0.00033867545,0.002480466],"category_scores_gemma":[0.009221395,0.00021843129,0.00052709994,0.016479393,0.0012749594,0.0011514609,0.0023766805,0.0010029805,0.00020593044],"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":[0.00016801467,0.00003354191,0.95088416,0.00012915912,0.00008225809,0.000123031,0.0050527253,0.00062472076,0.00017541565,0.002846539,0.0032363818,0.03664402],"study_design_scores_gemma":[0.0000036445144,0.000013008017,0.9895607,0.00009052918,0.000023068114,0.000032025717,0.006443871,0.0005804699,0.00009697777,0.00025502694,0.0028858902,0.000014773424],"about_ca_topic_score_codex":0.99486685,"about_ca_topic_score_gemma":0.9950447,"teacher_disagreement_score":0.040926028,"about_ca_system_score_codex":0.040926028,"about_ca_system_score_gemma":0.05940244,"threshold_uncertainty_score":0.2969405},"labels":[],"label_agreement":null},{"id":"W2207886690","doi":"","title":"The puzzle of weak first-quarter GDP growth","year":2015,"lang":"en","type":"article","venue":"FRB SF weekly letter","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":9,"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":"Quarter (Canadian coin); Economics; Real gross domestic product; Seasonal adjustment; Seasonality; Econometrics; Residual; Monetary economics; Geography; Statistics; Mathematics","score_opus":0.03168429934247851,"score_gpt":0.19042579538792342,"score_spread":0.1587414960454449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2207886690","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":[0.20229019,0.011083402,0.0041915714,0.69842714,0.008168251,0.000017336793,0.012283609,0.0009285888,0.06260991],"genre_scores_gemma":[0.9207044,0.008706809,0.0017173941,0.044726115,0.006189769,0.000032710654,0.005823449,0.000512062,0.01158737],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99836713,0.0003450078,0.00018936986,0.00028861553,0.00060192525,0.00020790516],"domain_scores_gemma":[0.9832146,0.0063830954,0.0035506394,0.0012598401,0.0048512095,0.0007406374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041603274,0.00035935172,0.0004215928,0.0017295338,0.0008346893,0.0030992622,0.0006489046,0.0013372648,0.003593367],"category_scores_gemma":[0.035695124,0.00029122844,0.00023739296,0.0023826156,0.0010568606,0.0019622403,0.0013801628,0.0030971474,0.003382637],"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":[0.00049001334,0.000039108516,0.11362458,0.000438434,0.0001124469,0.00039438918,0.0013541101,0.001628156,0.0010054142,0.032767355,0.6296558,0.21849024],"study_design_scores_gemma":[0.00006568237,0.00015594438,0.42230707,0.0012613168,0.00007504375,0.00097123266,0.0027595735,0.008935026,0.004293312,0.064770386,0.49423593,0.00016952804],"about_ca_topic_score_codex":0.015809456,"about_ca_topic_score_gemma":0.012327662,"teacher_disagreement_score":0.015809456,"about_ca_system_score_codex":0.0017259168,"about_ca_system_score_gemma":0.0011347272,"threshold_uncertainty_score":0.031434834},"labels":[],"label_agreement":null},{"id":"W2209968418","doi":"","title":"Modeling the R&D effects on the Czech economy in a CGE framework incorporating Romer’s theory of endogenous growth","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Computable general equilibrium; Romer; Czech; Endogenous growth theory; Economics; Macroeconomics; Keynesian economics; Econometrics; Neoclassical economics; Market economy; Geography","score_opus":0.07389907871106882,"score_gpt":0.2704348847249357,"score_spread":0.1965358060138669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2209968418","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":[0.4482742,0.004349917,0.32358044,0.007323763,0.00032794918,0.000372041,0.004232499,0.0005328306,0.21100634],"genre_scores_gemma":[0.9647105,0.0017352096,0.016313827,0.00017444923,0.00003962143,0.0001587889,0.00036945698,0.000066881286,0.016431198],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993863,0.00021619043,0.000036759502,0.00012905369,0.00007801403,0.00015360022],"domain_scores_gemma":[0.99904317,0.00042526796,0.00022881453,0.00007752342,0.00012668241,0.00009852365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011169337,0.0008076821,0.00091556227,0.0010260639,0.0005898724,0.003154159,0.0015105068,0.0021790357,0.005149126],"category_scores_gemma":[0.0023126693,0.00060544786,0.0017307757,0.0013860764,0.0015373424,0.002358084,0.0024804461,0.0014573801,0.00062137266],"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":[0.000044381253,0.000031683747,0.0009314465,0.000071423994,0.000029335562,0.00015185085,0.00005054095,0.8993127,0.00067106046,0.09643475,0.0004026286,0.0018681252],"study_design_scores_gemma":[0.00008812239,0.00006837729,0.0013313427,0.000048223854,0.000062658684,0.000066853616,0.00010808725,0.95368135,0.0002764931,0.040293965,0.0039288756,0.000045645585],"about_ca_topic_score_codex":0.045622554,"about_ca_topic_score_gemma":0.021977108,"teacher_disagreement_score":0.045622554,"about_ca_system_score_codex":0.002851676,"about_ca_system_score_gemma":0.0028923012,"threshold_uncertainty_score":0.09071404},"labels":[],"label_agreement":null},{"id":"W2210199494","doi":"","title":"The Elasticity of Substitution between Clean and Dirty Inputs in the Production of Electricity","year":2011,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Economics; Elasticity of substitution; Electricity; Technical change; Microeconomics; Complementarity (molecular biology); Econometrics; Elasticity (physics); Production (economics); Engineering; Macroeconomics","score_opus":0.04962769275657273,"score_gpt":0.20464104618553738,"score_spread":0.15501335342896466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2210199494","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":[0.77543014,0.0007762043,0.19080882,0.0011016801,0.00011645224,0.00019155048,0.004835286,0.0005243813,0.0262155],"genre_scores_gemma":[0.98533154,0.0004193759,0.011332219,0.000058722915,0.00001712948,0.000062652376,0.0014088635,0.000044756423,0.0013247315],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99850047,0.00046075304,0.000088720495,0.00040853894,0.00030760083,0.00023399471],"domain_scores_gemma":[0.9925385,0.0044932356,0.0007793714,0.0014909551,0.0006046058,0.00009333269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024489963,0.0007996259,0.00073648465,0.0024470994,0.00026955857,0.0014435889,0.001001231,0.0015529423,0.0054984163],"category_scores_gemma":[0.009931489,0.00050189206,0.0017844491,0.0028196778,0.0008507619,0.0017888484,0.001256785,0.0012133216,0.0010282618],"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":[0.00012393303,0.00018681145,0.070187904,0.0002770149,0.00036131858,0.00031480435,0.00017480443,0.84641397,0.0037913849,0.045886498,0.0015056191,0.030775923],"study_design_scores_gemma":[0.000127371,0.00042340223,0.20255668,0.00034170932,0.00036854437,0.0010819691,0.0009412717,0.60009885,0.031486947,0.1430876,0.019051453,0.0004341508],"about_ca_topic_score_codex":0.0041124187,"about_ca_topic_score_gemma":0.0021158573,"teacher_disagreement_score":0.0054984163,"about_ca_system_score_codex":0.0015807834,"about_ca_system_score_gemma":0.0008646449,"threshold_uncertainty_score":0.018393993},"labels":[],"label_agreement":null},{"id":"W2211021946","doi":"","title":"A Literature Review of Technology and Finance","year":2015,"lang":"en","type":"review","venue":"Canadian social science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Field (mathematics); Mechanism (biology); Management science; Finance; Economics; Business; Computer science; Epistemology","score_opus":0.04174996313947432,"score_gpt":0.26326250173164545,"score_spread":0.22151253859217113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2211021946","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017135698,0.99424416,0.00016906661,0.0016193187,0.00025550142,0.000006161035,0.00007355901,0.000005320127,0.0034555797],"genre_scores_gemma":[0.0015718873,0.9969614,0.00015982953,0.00040741684,0.00027743593,0.0000069386597,0.000063221916,0.0000016940727,0.00055020896],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99909866,0.000225461,0.000136255,0.00011040191,0.00036060569,0.00006855194],"domain_scores_gemma":[0.99604046,0.0026373796,0.00036062062,0.00007179472,0.00077434035,0.000115510076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001375291,0.0008428443,0.0013990885,0.008262836,0.0006963647,0.0028288055,0.001032961,0.0014335731,0.015022882],"category_scores_gemma":[0.0058210054,0.0003461191,0.00085684354,0.014984404,0.00086509564,0.0032556048,0.0010625765,0.0017314744,0.0025240867],"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":[0.00005587319,0.000067014334,0.0010510173,0.051861607,0.00018758391,0.0003451297,0.00046931976,0.0007875642,0.000430771,0.0421735,0.14611,0.7564606],"study_design_scores_gemma":[0.0000065227196,0.00002162325,0.0021765146,0.026475959,0.000118656535,0.0004623162,0.00024138828,0.00009323662,0.00007819254,0.007381566,0.96292657,0.000017375813],"about_ca_topic_score_codex":0.004840524,"about_ca_topic_score_gemma":0.0074018473,"teacher_disagreement_score":0.015022882,"about_ca_system_score_codex":0.0020933293,"about_ca_system_score_gemma":0.0063474816,"threshold_uncertainty_score":0.05025649},"labels":[],"label_agreement":null},{"id":"W2212292883","doi":"10.2139/ssrn.485383","title":"Return to Schooling in Senegal (La Rentabilite de l'Investissement dans l'Education au Senegal)","year":2003,"lang":"fr","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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 de Sherbrooke","funders":"","keywords":"Political science","score_opus":0.009659944162291384,"score_gpt":0.22636335234534627,"score_spread":0.2167034081830549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2212292883","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":[0.9944766,0.00064724154,0.00004350043,0.0007582704,0.000017032577,0.0000045511756,0.0024032,0.000009244992,0.0016403692],"genre_scores_gemma":[0.9962379,0.00035099653,0.000029084109,0.00005615162,0.000010626008,0.000005709686,0.0008241543,0.0000031127008,0.0024822333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995944,0.000057884525,0.00003454617,0.000046313846,0.000031454707,0.00023544888],"domain_scores_gemma":[0.99892503,0.00016020452,0.00048421771,0.00003496718,0.00011532321,0.00028037108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004891791,0.00024801292,0.0003228087,0.00087925675,0.0005105605,0.0012875096,0.0004883182,0.0007110925,0.0059841434],"category_scores_gemma":[0.0015126877,0.00015938932,0.00038555035,0.0015100936,0.0004581017,0.0007549285,0.0010816602,0.0008987281,0.0007477226],"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":[0.0005724773,0.0001472763,0.9708838,0.00010824628,0.00019306669,0.0013748204,0.0011116377,0.001421153,0.00079739,0.003681978,0.003070503,0.016637629],"study_design_scores_gemma":[0.000012044489,0.000045717537,0.99553454,0.000021261138,0.00003357598,0.0002043528,0.00095798244,0.00035436748,0.00024141232,0.00026184449,0.002323406,0.000009366991],"about_ca_topic_score_codex":0.23781547,"about_ca_topic_score_gemma":0.29928136,"teacher_disagreement_score":0.23781547,"about_ca_system_score_codex":0.0024450806,"about_ca_system_score_gemma":0.0017571194,"threshold_uncertainty_score":0.47286248},"labels":[],"label_agreement":null},{"id":"W2212646299","doi":"","title":"Indications empiriques du rapport entre le commerce e t la productivité basées sur des donnée s au niveau des entreprises canadiennes","year":2015,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Political science; Humanities; Philosophy","score_opus":0.07469098089974768,"score_gpt":0.271970669806434,"score_spread":0.1972796889066863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2212646299","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":[0.83776164,0.023795959,0.034965787,0.009460735,0.00025122694,0.00022182353,0.0063201864,0.0003014955,0.08692118],"genre_scores_gemma":[0.973974,0.0046093077,0.010001061,0.00048188746,0.000090709305,0.00007283743,0.0025967879,0.000105329455,0.008068127],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9875938,0.004932222,0.0008178168,0.0024196464,0.003425982,0.00081053947],"domain_scores_gemma":[0.6664469,0.28120142,0.012168057,0.008371418,0.03023782,0.0015744179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027617665,0.0012139069,0.0012511713,0.0066693453,0.0020186182,0.009725058,0.0023647961,0.0016129115,0.0113682775],"category_scores_gemma":[0.13621789,0.00109963,0.002355233,0.009195943,0.0036181663,0.0038453704,0.0024123853,0.0023892964,0.0013346259],"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":[0.000729261,0.00016105945,0.8298043,0.00094297726,0.0028715853,0.00073787593,0.0078342,0.020283083,0.0012921321,0.047138657,0.004837323,0.08336758],"study_design_scores_gemma":[0.000093858354,0.0002399412,0.8539597,0.0020362453,0.0018066389,0.00030731945,0.011314934,0.054728333,0.0033419668,0.027165072,0.044744346,0.0002616023],"about_ca_topic_score_codex":0.6514116,"about_ca_topic_score_gemma":0.61326253,"teacher_disagreement_score":0.3485884,"about_ca_system_score_codex":0.008420463,"about_ca_system_score_gemma":0.012688315,"threshold_uncertainty_score":0.7012826},"labels":[],"label_agreement":null},{"id":"W2212802402","doi":"","title":"Designing New Zealand's New Banknote Series","year":2014,"lang":"en","type":"article","venue":"Reserve Bank of New Zealand Bulletin","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Banknote; Call for bids; Variety (cybernetics); Process (computing); Business; Computer science; Commerce; Industrial organization; Economics; Marketing; Macroeconomics","score_opus":0.030655382553348414,"score_gpt":0.21616754767986116,"score_spread":0.18551216512651275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2212802402","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06642982,0.0009488845,0.23694672,0.007910354,0.009286205,0.0058831563,0.0015467117,0.0073707514,0.66367745],"genre_scores_gemma":[0.18426798,0.0016777914,0.18993895,0.0014355577,0.0013128938,0.004560262,0.0020230752,0.003938584,0.61084485],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9933181,0.0021164615,0.0003734316,0.00046578504,0.00320244,0.00052370067],"domain_scores_gemma":[0.9816124,0.0038184267,0.00096530636,0.0027158991,0.008429365,0.0024587358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019560197,0.0010087779,0.000441238,0.0024276623,0.0026748485,0.010031649,0.0015496032,0.0013430658,0.07696268],"category_scores_gemma":[0.037579123,0.0009895397,0.0005319445,0.0014336222,0.0022601602,0.0065612155,0.0031266967,0.0020193867,0.0233509],"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":[0.0006835057,0.00035862342,0.0030893695,0.00082352164,0.000027288783,0.0010537156,0.019608872,0.003739255,0.01414655,0.09033688,0.47469786,0.39143446],"study_design_scores_gemma":[0.000053488428,0.00018271327,0.0017030424,0.00017611374,0.000014517639,0.00019395232,0.00321568,0.00080631825,0.001493899,0.0036432762,0.98846763,0.00004936338],"about_ca_topic_score_codex":0.0062923194,"about_ca_topic_score_gemma":0.01359017,"teacher_disagreement_score":0.07696268,"about_ca_system_score_codex":0.0042584226,"about_ca_system_score_gemma":0.0048741824,"threshold_uncertainty_score":0.25746584},"labels":[],"label_agreement":null},{"id":"W2218524608","doi":"","title":"North-South Technology Diffusion: How Important are Trade, FDI and International Call Traffic","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Foreign direct investment; International trade; Total factor productivity; International economics; Diffusion; Productivity; Business; Economics; Economic growth; Macroeconomics","score_opus":0.010961960168810351,"score_gpt":0.18562820090560234,"score_spread":0.174666240736792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2218524608","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":[0.9869915,0.0011397427,0.0018117903,0.0011976019,0.000016118907,0.000010218867,0.00015087701,0.000015400332,0.008666787],"genre_scores_gemma":[0.99814796,0.00047597944,0.00016493456,0.0000633483,0.00002961779,0.0000035881283,0.000086544766,0.00000700501,0.001021016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994642,0.00016678566,0.000024922938,0.0001238125,0.000092176946,0.00012803286],"domain_scores_gemma":[0.99071324,0.005449567,0.0024918725,0.0002595293,0.00031570124,0.00077005196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011810749,0.0004315406,0.0005766302,0.0009116026,0.00031387547,0.0017474231,0.00023452526,0.00079221063,0.004754902],"category_scores_gemma":[0.0070227967,0.00015752457,0.00095076894,0.0015226093,0.0016701778,0.0025197135,0.0011303993,0.0011594804,0.00051768165],"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":[0.0006383356,0.00013492182,0.9299407,0.00017161033,0.000640366,0.0005564753,0.0014050083,0.012616929,0.0041926918,0.017789103,0.0006126999,0.03130119],"study_design_scores_gemma":[0.00004652376,0.00015369622,0.9707526,0.00008546802,0.00048402871,0.00038176647,0.0022437908,0.008764713,0.0014051122,0.01222137,0.0034301248,0.000030871324],"about_ca_topic_score_codex":0.007914653,"about_ca_topic_score_gemma":0.005419066,"teacher_disagreement_score":0.007914653,"about_ca_system_score_codex":0.00060189446,"about_ca_system_score_gemma":0.0005942451,"threshold_uncertainty_score":0.015906751},"labels":[],"label_agreement":null},{"id":"W2219106826","doi":"","title":"The sustainability of growth: history and prospects","year":2004,"lang":"en","type":"book-chapter","venue":"ANU Open Research (Australian National University)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); China; Sustainability; Rest (music); Economic expansion; Economics; Development economics; Economy; Political science; Geography; Macroeconomics; Archaeology","score_opus":0.12878060689568696,"score_gpt":0.28081363476085697,"score_spread":0.15203302786517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2219106826","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":[0.027131494,0.32594025,0.0025641383,0.11626746,0.002374861,0.000042570628,0.0002718631,0.000099025565,0.5253084],"genre_scores_gemma":[0.4457677,0.4630338,0.0023518628,0.008980235,0.0029709456,0.000083550985,0.00029756455,0.00008695322,0.07642742],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995122,0.00014992795,0.000019088395,0.000064823,0.00015831817,0.000095677824],"domain_scores_gemma":[0.9994605,0.00018301845,0.000053064945,0.000049692742,0.00017080018,0.00008291176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017972379,0.0003330053,0.00023214724,0.001059905,0.0014817487,0.0043504154,0.00046915107,0.0011260305,0.004529457],"category_scores_gemma":[0.0019952613,0.00012890076,0.00014785537,0.002816174,0.004436256,0.004796241,0.0016841472,0.0018293826,0.0007951815],"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":[0.000024667253,0.000035143126,0.002563562,0.00033512225,0.0000058558358,0.00024996043,0.0021203137,0.0005302079,0.00024323662,0.67135876,0.040917695,0.28161553],"study_design_scores_gemma":[0.0000038983817,0.000037132006,0.003623701,0.00070209237,0.000003754476,0.00012010078,0.0013060244,0.00034751484,0.00028963937,0.14138715,0.8521663,0.000012747121],"about_ca_topic_score_codex":0.0066911206,"about_ca_topic_score_gemma":0.007049505,"teacher_disagreement_score":0.0066911206,"about_ca_system_score_codex":0.004933046,"about_ca_system_score_gemma":0.00490282,"threshold_uncertainty_score":0.035791934},"labels":[],"label_agreement":null},{"id":"W2222700231","doi":"10.2139/ssrn.2657623","title":"Mushrooms and Yeast: The Implications of Technological Progress for Canada's Economic Growth","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":21,"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":"Yeast; Political science; Economic geography; Economics; Biology; Genetics","score_opus":0.020144853281344386,"score_gpt":0.2144693969795301,"score_spread":0.19432454369818572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2222700231","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":[0.6695933,0.058333114,0.0012009175,0.13540836,0.0007665145,0.00008775552,0.009148776,0.00007534198,0.125386],"genre_scores_gemma":[0.96135867,0.021219904,0.0003726646,0.0017293268,0.000114589,0.000006580183,0.00069080247,0.0000088678535,0.014498559],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995012,0.000040318842,0.000015428406,0.000064638334,0.00015069709,0.00022767799],"domain_scores_gemma":[0.99795496,0.00035649425,0.00034882457,0.000049664613,0.00086842634,0.0004216181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007156442,0.00036440956,0.0003615094,0.0013164049,0.0026341483,0.0059501072,0.000662508,0.001223662,0.011717281],"category_scores_gemma":[0.0038547704,0.000103970735,0.0005503301,0.003478396,0.0021276919,0.0019367463,0.0012460812,0.0016707972,0.00037762243],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020109164,0.00029507466,0.33351076,0.0012042392,0.00024297398,0.0021046598,0.004453993,0.013774453,0.0028804059,0.33034107,0.0880985,0.22108296],"study_design_scores_gemma":[0.00019173457,0.00021424488,0.5922534,0.0012479055,0.0004780835,0.0002887074,0.03946174,0.012750194,0.0042830263,0.09602248,0.25258073,0.00022775646],"about_ca_topic_score_codex":0.98550934,"about_ca_topic_score_gemma":0.9883171,"teacher_disagreement_score":0.9520134,"about_ca_system_score_codex":0.04798663,"about_ca_system_score_gemma":0.054126937,"threshold_uncertainty_score":0.34816897},"labels":[],"label_agreement":null},{"id":"W2225560699","doi":"","title":"Capital Humano y Crecimiento Económico en México (1970-2000)","year":2004,"lang":"es","type":"article","venue":"OBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"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":"Conditional convergence; Convergence (economics); Human capital; Economics; Per capita; Per capita income; Growth model; Welfare economics; Macroeconomics; Economic growth; Demography; Population; Sociology","score_opus":0.020080117037143467,"score_gpt":0.22600868870750215,"score_spread":0.2059285716703587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2225560699","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":[0.968615,0.005264038,0.00029642863,0.0009375311,0.000071085764,0.000021265878,0.0066064033,0.000041889234,0.018146355],"genre_scores_gemma":[0.9748047,0.007929376,0.00049664726,0.00008788066,0.00014063259,0.00004040435,0.009003027,0.000012155025,0.0074851387],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999083,0.000009532526,0.0000028472805,0.000018628962,0.000014577138,0.000046153935],"domain_scores_gemma":[0.9996407,0.00006717339,0.00014538721,0.000015718088,0.00008750307,0.000043552813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005455316,0.0002803232,0.00025404422,0.0019110597,0.0004796293,0.00086890656,0.0002472614,0.00033076422,0.0017323698],"category_scores_gemma":[0.0010244572,0.00011169718,0.00020276393,0.0024338563,0.00029006737,0.0005033699,0.0004881453,0.00070650416,0.00021459392],"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":[0.0007872616,0.0003695448,0.82009363,0.00052356697,0.00026923188,0.0010472188,0.00487795,0.004463781,0.00068089005,0.014069775,0.025418073,0.12739919],"study_design_scores_gemma":[0.00004513086,0.00005543826,0.9462114,0.00013780873,0.000117702184,0.00023699956,0.0012111862,0.0009046773,0.0003631175,0.00040263036,0.05030338,0.000010502284],"about_ca_topic_score_codex":0.21721199,"about_ca_topic_score_gemma":0.14312698,"teacher_disagreement_score":0.21721199,"about_ca_system_score_codex":0.0024416102,"about_ca_system_score_gemma":0.0010777819,"threshold_uncertainty_score":0.43189538},"labels":[],"label_agreement":null},{"id":"W2225768515","doi":"","title":"Qu'est-ce que la productivite? Comment la mesure-t-on? Quelle a ete la productivite du Canada pour la periode de 1961 a 2012?","year":2014,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Humanities; Philosophy","score_opus":0.01930025435018106,"score_gpt":0.25419791920135676,"score_spread":0.2348976648511757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2225768515","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":[0.30218244,0.1246557,0.021203527,0.112873,0.003449488,0.000573917,0.07443085,0.0011106336,0.35952052],"genre_scores_gemma":[0.788513,0.05908434,0.013998528,0.00873412,0.0005770966,0.00024546497,0.013633509,0.00060099154,0.11461298],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9936103,0.0007854671,0.00024092663,0.0010031447,0.0032886155,0.0010715926],"domain_scores_gemma":[0.98253006,0.0021012952,0.0014106388,0.0008346185,0.011773954,0.0013493581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005501721,0.00067278265,0.0008595666,0.0036478408,0.003350325,0.0078055453,0.0016086074,0.0010356412,0.016045205],"category_scores_gemma":[0.0132476445,0.00048952637,0.0015505899,0.011853199,0.0037441326,0.0026573227,0.001413902,0.002734161,0.0022389733],"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":[0.0010778353,0.0001636022,0.30322996,0.0045065735,0.0014223743,0.0005072862,0.011497989,0.0040754774,0.005076221,0.121996716,0.097454995,0.44899106],"study_design_scores_gemma":[0.000050393395,0.00029919753,0.44211093,0.002528069,0.00047125784,0.00020931513,0.008073505,0.0010743059,0.003731609,0.0059736874,0.53525203,0.00022572222],"about_ca_topic_score_codex":0.9551518,"about_ca_topic_score_gemma":0.96594197,"teacher_disagreement_score":0.04650798,"about_ca_system_score_codex":0.04650798,"about_ca_system_score_gemma":0.08159818,"threshold_uncertainty_score":0.3374406},"labels":[],"label_agreement":null},{"id":"W2230084392","doi":"10.1080/08109028.2015.1095979","title":"Patterns of innovative outputs across climate zones: the geography of innovation","year":2015,"lang":"en","type":"article","venue":"Prometheus","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Arizona State University; Georgia Institute of Technology; Maastricht Economic and Social Research Institute on Innovation and Technology, United Nations University; University of Toronto; Yale University","keywords":"Temperate climate; Human capital; Adaptation (eye); Natural (archaeology); Climate change; Economic geography; Order (exchange); Process (computing); Technological change; Environmental resource management; Geography; Business; Ecology; Computer science; Economics; Economic growth; Biology; Artificial intelligence","score_opus":0.06435387472537443,"score_gpt":0.2705055056319167,"score_spread":0.2061516309065423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2230084392","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":[0.99653184,0.00043176164,0.0006589487,0.000104009814,0.0000025611005,0.0000058517267,0.0002267398,0.000008972549,0.0020291763],"genre_scores_gemma":[0.9995547,0.00009098929,0.00015231533,0.0000054582642,0.0000030130263,0.0000033439635,0.00009486634,0.0000018855865,0.00009357299],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994734,0.00016076781,0.000043373893,0.00014346081,0.00008424069,0.000094734496],"domain_scores_gemma":[0.99609214,0.0015158099,0.0013928565,0.0002951624,0.00038244313,0.000321524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007456178,0.00011587568,0.00029275924,0.0019705663,0.00028596362,0.0013168218,0.0002966215,0.0003712352,0.002326795],"category_scores_gemma":[0.0042798035,0.00012765118,0.00037620656,0.0028769677,0.00089074054,0.00086687924,0.0014021537,0.00028213707,0.0002658298],"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":[0.00017082671,0.00002987318,0.9813881,0.00007698794,0.00015653353,0.000103856684,0.0015290765,0.0015235321,0.002191403,0.0032053404,0.00016878916,0.009455686],"study_design_scores_gemma":[0.0000033843876,0.000025089916,0.996869,0.0000101886,0.000019143768,0.00007207413,0.0008128652,0.00061444106,0.00013804733,0.0009621815,0.00046583067,0.000007810627],"about_ca_topic_score_codex":0.0032125912,"about_ca_topic_score_gemma":0.0030440586,"teacher_disagreement_score":0.0032125912,"about_ca_system_score_codex":0.00037653465,"about_ca_system_score_gemma":0.0002549104,"threshold_uncertainty_score":0.00778389},"labels":[],"label_agreement":null},{"id":"W2235154160","doi":"","title":"Mesure de la productivite multifactorielle a Statistique Canada","year":2013,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.024816889636762707,"score_gpt":0.2714681879476512,"score_spread":0.2466512983108885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2235154160","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":[0.32899258,0.02023249,0.3160716,0.018999107,0.0010997386,0.0013690019,0.056003716,0.0035710847,0.25366065],"genre_scores_gemma":[0.6543165,0.011447391,0.19968744,0.0009815247,0.00020889456,0.0007860124,0.014892833,0.0007212817,0.11695818],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99394155,0.0010195571,0.00020784461,0.0005152594,0.0038270259,0.0004888724],"domain_scores_gemma":[0.97724116,0.004669716,0.001100508,0.001327927,0.014766767,0.00089396123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069216755,0.000745906,0.0007599707,0.004079577,0.0016160974,0.0039909836,0.0013772224,0.00049943983,0.01281056],"category_scores_gemma":[0.02042957,0.0003880905,0.0010657092,0.009300804,0.0012205517,0.0008861459,0.001606938,0.0017815458,0.0014822693],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059019664,0.00016009546,0.08543067,0.0011112657,0.00044402055,0.00022702022,0.003658662,0.041321613,0.006154602,0.1156124,0.039789345,0.7055002],"study_design_scores_gemma":[0.00015226413,0.00037685953,0.29809174,0.0013084017,0.00033639662,0.00015381424,0.0023404392,0.045330327,0.013036505,0.025762198,0.61284065,0.0002704348],"about_ca_topic_score_codex":0.93979466,"about_ca_topic_score_gemma":0.92954475,"teacher_disagreement_score":0.06020534,"about_ca_system_score_codex":0.034500193,"about_ca_system_score_gemma":0.084729806,"threshold_uncertainty_score":0.25031763},"labels":[],"label_agreement":null},{"id":"W2236185424","doi":"","title":"Unemployment and Growth in the Long Run: An Efficiency-Wage Model with Optimal Savings","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Economics; Efficiency wage; Unemployment; Endogenous growth theory; Wage growth; Productivity; Growth model; Wage; Unemployment rate; Labour economics; Wage rate; Growth rate; Macroeconomics; Human capital","score_opus":0.018737121167867795,"score_gpt":0.19509469388908762,"score_spread":0.17635757272121982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2236185424","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":[0.5132933,0.0019272671,0.35975987,0.015959177,0.0001261467,0.00010242946,0.0009563902,0.00032745654,0.10754781],"genre_scores_gemma":[0.9692472,0.0006925103,0.006095439,0.00022076133,0.000056728433,0.0000732999,0.000115129034,0.000035104338,0.023463875],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970704,0.00011057043,0.00001413072,0.00005117971,0.00003703748,0.00007998204],"domain_scores_gemma":[0.99943453,0.0002395377,0.00011940395,0.000044227734,0.000068078974,0.00009431444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011402463,0.00041080802,0.0007003383,0.00047188767,0.0006022574,0.002067972,0.0010501867,0.0019173477,0.00498957],"category_scores_gemma":[0.0026714888,0.00042249763,0.0006208408,0.00051954057,0.0012564295,0.0021446345,0.0012252284,0.0010665323,0.0008504486],"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":[0.0001060146,0.000085738044,0.0013622383,0.000047119665,0.0000260026,0.0002883546,0.0003257421,0.34253973,0.0004880431,0.64721566,0.0021868902,0.0053284853],"study_design_scores_gemma":[0.00011106776,0.000046255267,0.00082963594,0.000027556058,0.000021465816,0.00010417991,0.00016953443,0.6013112,0.00012264359,0.3941286,0.0031043186,0.000023487932],"about_ca_topic_score_codex":0.006565344,"about_ca_topic_score_gemma":0.004213883,"teacher_disagreement_score":0.006565344,"about_ca_system_score_codex":0.0015570163,"about_ca_system_score_gemma":0.0014564305,"threshold_uncertainty_score":0.016691744},"labels":[],"label_agreement":null},{"id":"W2237677090","doi":"","title":"Online Appendix to \"Explaining Educational Attainment across Countries and over Time\"","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Robustness (evolution); Educational attainment; Econometrics; Economics; Demographic economics; Economic growth","score_opus":0.03411981649376574,"score_gpt":0.3172859203040409,"score_spread":0.2831661038102752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2237677090","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00056073134,0.0006337572,0.0056048133,0.0024968886,0.0013891832,0.00018475496,0.95883644,0.0013794812,0.028914021],"genre_scores_gemma":[0.0115014715,0.0022984662,0.012101185,0.00211634,0.0015619297,0.0010939221,0.8336495,0.0017695319,0.13390763],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994011,0.00013207576,0.00008515116,0.00008696735,0.0002304064,0.000064254564],"domain_scores_gemma":[0.98904383,0.0051308023,0.0007488519,0.00073312956,0.003957237,0.00038627905],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013022139,0.0011605689,0.0010683724,0.0037043376,0.00040580914,0.00095365394,0.0017487054,0.0012163155,0.66624135],"category_scores_gemma":[0.016602922,0.00051268924,0.00089808827,0.00712834,0.00016100726,0.0013461169,0.0012545466,0.001230053,0.31489763],"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":[0.0000054660836,0.000021137505,0.00028533945,0.0001572709,0.0000073339993,0.000009551993,0.000007991133,0.00025122325,0.000016460242,0.0020257058,0.9887277,0.0084848255],"study_design_scores_gemma":[0.000104593586,0.000030504141,0.008590077,0.0006044139,0.000029657069,0.00009745559,0.00008393597,0.0015254036,0.00022895852,0.018692994,0.9699747,0.000037305086],"about_ca_topic_score_codex":0.02500322,"about_ca_topic_score_gemma":0.021563338,"teacher_disagreement_score":0.66624135,"about_ca_system_score_codex":0.0013058673,"about_ca_system_score_gemma":0.002253396,"threshold_uncertainty_score":0.47606617},"labels":[],"label_agreement":null},{"id":"W2238341886","doi":"","title":"Measuring Industry Contributions to Labour Productivity Change: A New Formula in a Chained Fisher Index Framework","year":2015,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Index (typography); Productivity; Econometrics; Technical change; Macroeconomics; Labour economics; Computer science","score_opus":0.11997233277918301,"score_gpt":0.31762377188729324,"score_spread":0.19765143910811023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2238341886","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":[0.05490663,0.0023038655,0.89490885,0.0011020815,0.00042200493,0.00020123062,0.001510749,0.0004532506,0.04419143],"genre_scores_gemma":[0.5571279,0.0033092317,0.41798648,0.0002861106,0.0005499357,0.00044780268,0.0014258383,0.00028731383,0.018579466],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99799,0.0003542751,0.000128579,0.00032912486,0.0010354739,0.0001624568],"domain_scores_gemma":[0.9970892,0.0013186778,0.0004087279,0.0003263821,0.00074113725,0.00011589688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029472385,0.0011444183,0.0005894812,0.008774309,0.00065964763,0.0019375288,0.0011628933,0.0006961962,0.0043153516],"category_scores_gemma":[0.011126566,0.000332097,0.0010988452,0.0059185945,0.0015398815,0.0043551396,0.0019358129,0.0012669759,0.0007787944],"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":[0.00008718591,0.00008057028,0.035148554,0.00020628952,0.00017427132,0.0002569148,0.00085292925,0.083017536,0.0031465779,0.5278334,0.006905483,0.34229037],"study_design_scores_gemma":[0.000030089275,0.00016524689,0.035970848,0.00034961122,0.00014709562,0.00027426332,0.0005539527,0.3183772,0.0050192815,0.5740239,0.06490699,0.0001815545],"about_ca_topic_score_codex":0.020349286,"about_ca_topic_score_gemma":0.022784851,"teacher_disagreement_score":0.020349286,"about_ca_system_score_codex":0.0028573328,"about_ca_system_score_gemma":0.002155132,"threshold_uncertainty_score":0.04046172},"labels":[],"label_agreement":null},{"id":"W2240505261","doi":"10.1111/ecin.12096","title":"RISING R&amp;D INTENSITY AND ECONOMIC GROWTH","year":2014,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Economics; Gross domestic product; Per capita; Competition (biology); R&D intensity; Phenomenon; Monetary economics; Growth model; Macroeconomics","score_opus":0.0483470794646016,"score_gpt":0.23166326551235478,"score_spread":0.18331618604775318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2240505261","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":[0.8569151,0.0064274105,0.013072039,0.010454335,0.000103864855,0.000043809487,0.001704964,0.0003309736,0.110947385],"genre_scores_gemma":[0.9925997,0.0016820519,0.0005860083,0.00016781368,0.00006397151,0.0000069099506,0.00030823125,0.000011794286,0.0045734146],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965394,0.00007631803,0.000029047033,0.000079856676,0.00008741173,0.00007339734],"domain_scores_gemma":[0.99590576,0.0011133883,0.0021525132,0.0001564289,0.0003239159,0.00034798845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067315425,0.00021698179,0.00019398218,0.00094994996,0.00031279022,0.0023435636,0.00036830845,0.00088433793,0.006104386],"category_scores_gemma":[0.0047565317,0.00012801612,0.00025041203,0.0019986208,0.0009886181,0.0013224619,0.00087340054,0.00079807907,0.0015964684],"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":[0.00023526065,0.00020213907,0.53873926,0.00038499254,0.00012227123,0.0011409357,0.0008898107,0.04979452,0.002903659,0.2248887,0.021551564,0.159147],"study_design_scores_gemma":[0.00007212452,0.0002572583,0.6138445,0.0002412412,0.00011350773,0.0016116241,0.0024323289,0.07485509,0.0028030758,0.20490667,0.098764345,0.0000981893],"about_ca_topic_score_codex":0.004155879,"about_ca_topic_score_gemma":0.0023709903,"teacher_disagreement_score":0.006104386,"about_ca_system_score_codex":0.001486202,"about_ca_system_score_gemma":0.00054488465,"threshold_uncertainty_score":0.020421207},"labels":[],"label_agreement":null},{"id":"W2241154385","doi":"","title":"Revisiting the impacts of domestic and foreign technology spillovers on Canadian industries, 1978-1997","year":2014,"lang":"en","type":"article","venue":"Applied econometrics and international development","topic":"Economic Growth and Productivity","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":"Spillover effect; Productivity; Manufacturing; Total factor productivity; High tech; Economics; International trade; Economic geography; Business; Economic growth; Macroeconomics; Marketing; Geography","score_opus":0.02537982325159774,"score_gpt":0.2020894055603317,"score_spread":0.17670958230873396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2241154385","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":[0.9450295,0.00579916,0.00040279952,0.0019476505,0.000040937666,0.000039272167,0.009941552,0.000041928943,0.036757242],"genre_scores_gemma":[0.9867655,0.0038506377,0.00020802864,0.00015103952,0.000020097756,0.000010639659,0.0034474568,0.0000073276024,0.00553926],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914813,0.000022157543,0.00001815974,0.000076194716,0.00032552262,0.00040986593],"domain_scores_gemma":[0.99861145,0.00014886192,0.00017527444,0.00003998876,0.0008515162,0.00017289838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067403534,0.0006134564,0.00053061475,0.003118228,0.0021986752,0.0020123923,0.00052792154,0.0003558258,0.003984135],"category_scores_gemma":[0.0025556302,0.00019559915,0.00059832854,0.0059726587,0.0007354719,0.00059220934,0.0010139322,0.0006526763,0.0002955674],"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":[0.00066829415,0.000156644,0.8136193,0.0006395773,0.0003863408,0.0022802416,0.00399398,0.019604238,0.004030316,0.015162515,0.016741287,0.12271722],"study_design_scores_gemma":[0.000011139316,0.000029152865,0.9776324,0.00007823206,0.000091995906,0.000089392815,0.002663728,0.0009538563,0.00085722475,0.00022639809,0.017347803,0.000018795094],"about_ca_topic_score_codex":0.9922248,"about_ca_topic_score_gemma":0.9946741,"teacher_disagreement_score":0.038359385,"about_ca_system_score_codex":0.038359385,"about_ca_system_score_gemma":0.034948934,"threshold_uncertainty_score":0.27831817},"labels":[],"label_agreement":null},{"id":"W2242716857","doi":"","title":"Multifactor Productivity Measurement at Statistics Canada","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"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":"Productivity; Multifactor productivity; Computer science; Econometrics; Data science; Economics; Economic growth; Total factor productivity","score_opus":0.07368035424852179,"score_gpt":0.26374014216799224,"score_spread":0.19005978791947045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2242716857","genre_codex":"dataset","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":[0.035906143,0.0050550196,0.09270774,0.018375488,0.0017453678,0.0010169394,0.49259412,0.013995287,0.33860385],"genre_scores_gemma":[0.27300328,0.006253952,0.13785167,0.0026631881,0.0004923183,0.0012713057,0.27214617,0.0037444942,0.3025736],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9812041,0.0016080543,0.0005742379,0.0013883199,0.013275676,0.0019496018],"domain_scores_gemma":[0.93280166,0.003693637,0.0018943287,0.0033423835,0.05558211,0.002685828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063752914,0.0010694809,0.0009415882,0.008331116,0.0037624615,0.0048072264,0.0018671908,0.0008169034,0.031640615],"category_scores_gemma":[0.027906341,0.00071400154,0.0006663736,0.022139568,0.0010727497,0.0019471482,0.0020276592,0.002316465,0.0105394935],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015502525,0.00010534566,0.027219614,0.00033019765,0.00007862368,0.00011483509,0.00109295,0.00373983,0.0011533168,0.08916399,0.6907592,0.1860871],"study_design_scores_gemma":[0.000053391705,0.00003590653,0.07417363,0.00027950265,0.00003604012,0.00007020403,0.0008296299,0.009917422,0.0028211358,0.010460276,0.9011713,0.00015149919],"about_ca_topic_score_codex":0.9822266,"about_ca_topic_score_gemma":0.9724386,"teacher_disagreement_score":0.9331957,"about_ca_system_score_codex":0.0668043,"about_ca_system_score_gemma":0.16529068,"threshold_uncertainty_score":0.4847014},"labels":[],"label_agreement":null},{"id":"W2242974122","doi":"","title":"Sectoral Per Capita Growth and Equitable Income Distribution","year":2012,"lang":"en","type":"article","venue":"The Philippine Review of Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Economics; Per capita income; Income distribution; Per capita; Distribution (mathematics); Econometrics; Agricultural economics; Economic geography; Inequality; Mathematics; Sociology; Demography","score_opus":0.03738931161930858,"score_gpt":0.23170698800374664,"score_spread":0.19431767638443806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2242974122","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":[0.095771775,0.29645935,0.021690907,0.169886,0.004829983,0.000061416744,0.0049319677,0.0005203746,0.4058482],"genre_scores_gemma":[0.6775648,0.24677747,0.0035541402,0.0025741637,0.008702268,0.00004453509,0.0011721506,0.00015387106,0.05945655],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99961793,0.00013911685,0.000019010276,0.00006914542,0.000115823845,0.000038854705],"domain_scores_gemma":[0.9976585,0.00056758046,0.00045501307,0.00022245538,0.0009468958,0.00014950352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011710102,0.00037754234,0.00037696603,0.0017391996,0.00037815902,0.0029149917,0.00041706683,0.0005377562,0.015759852],"category_scores_gemma":[0.0035984342,0.00015232323,0.00017627457,0.0053056027,0.001886479,0.0030485727,0.0011647142,0.0013018455,0.0027051845],"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":[0.000108771914,0.000055175416,0.010978623,0.0013325559,0.000054796128,0.00015728509,0.00047473545,0.009267426,0.00052370195,0.5258573,0.10865234,0.3425372],"study_design_scores_gemma":[0.000022599761,0.00006353825,0.055142228,0.0018946972,0.000059435217,0.00033899207,0.0012336792,0.0069109653,0.0010777087,0.39738894,0.5358246,0.000042604468],"about_ca_topic_score_codex":0.004683916,"about_ca_topic_score_gemma":0.0030841113,"teacher_disagreement_score":0.015759852,"about_ca_system_score_codex":0.0024022565,"about_ca_system_score_gemma":0.0015421617,"threshold_uncertainty_score":0.052721977},"labels":[],"label_agreement":null},{"id":"W2244705338","doi":"","title":"Predicting Severe Simultaneous Recessions Using Yield Spreads as Leading Indicators","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"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":"Recession; Stylized fact; Yield (engineering); Economics; Probit model; Econometrics; Variable (mathematics); Keynesian economics; Mathematics","score_opus":0.0796968398787365,"score_gpt":0.3073930488297527,"score_spread":0.22769620895101622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2244705338","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":[0.98756033,0.00044627566,0.0070747463,0.0004467296,0.00002771706,0.000021785829,0.0021007347,0.00008089587,0.002240833],"genre_scores_gemma":[0.9964491,0.00027955003,0.0011714335,0.000020312431,0.00003072859,0.00000840994,0.0015271119,0.000009067662,0.0005041],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996619,0.00007259299,0.000038291593,0.00008374069,0.000054756263,0.00008874589],"domain_scores_gemma":[0.9941691,0.002097214,0.0024292432,0.00026109762,0.00050210714,0.0005413067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011548338,0.00068856083,0.0004064737,0.002256391,0.00033659404,0.0015675842,0.00025056105,0.00070149486,0.0021808064],"category_scores_gemma":[0.0076940525,0.00028057856,0.0005949606,0.0019588533,0.0002810677,0.0012397859,0.0014015076,0.0013399108,0.0006935939],"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":[0.00022732007,0.00007757075,0.9424714,0.000037388905,0.00013228139,0.00020294398,0.00024328115,0.032414652,0.0007420469,0.0016460088,0.002797169,0.019008001],"study_design_scores_gemma":[0.000028251283,0.000103755425,0.73846304,0.00008487157,0.000118029326,0.00013674874,0.0011310966,0.24915403,0.0009664924,0.0076181707,0.0021413309,0.000054004486],"about_ca_topic_score_codex":0.017853813,"about_ca_topic_score_gemma":0.02221167,"teacher_disagreement_score":0.017853813,"about_ca_system_score_codex":0.00035770016,"about_ca_system_score_gemma":0.0004640049,"threshold_uncertainty_score":0.03549981},"labels":[],"label_agreement":null},{"id":"W2245999681","doi":"","title":"Innovation, Diffusion and the Distribution of Income in a Malthusian Economy","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Productivity; Economics; Distribution (mathematics); Population; Diffusion; Income distribution; Production (economics); Population growth; Growth rate; Demographic economics; Econometrics; Economic growth; Mathematics; Inequality; Microeconomics; Demography; Physics; Thermodynamics","score_opus":0.03216218449881665,"score_gpt":0.26760219134859003,"score_spread":0.2354400068497734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2245999681","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":[0.84070253,0.0033341984,0.116058685,0.008745953,0.000070058595,0.000054635835,0.0003879036,0.00022184418,0.030424176],"genre_scores_gemma":[0.9903598,0.0015778603,0.0024760726,0.00007690394,0.00003864982,0.000021202604,0.00006547082,0.000013529066,0.0053705685],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997303,0.00010419648,0.000013516939,0.000050126255,0.00004047218,0.00006136691],"domain_scores_gemma":[0.9971771,0.0019508041,0.0004390762,0.00012750876,0.00018284167,0.0001226476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013001943,0.00035172567,0.0005678545,0.0011441235,0.0006223571,0.0024320232,0.00065112114,0.0013336906,0.0026528614],"category_scores_gemma":[0.008139001,0.00025477822,0.00049433013,0.0010612553,0.0026215743,0.003369668,0.0011037588,0.0013024452,0.00048848486],"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":[0.000109016924,0.00005471228,0.009381447,0.00007266014,0.00004245466,0.00037283736,0.0006779882,0.162813,0.000866567,0.8061399,0.001697673,0.01777172],"study_design_scores_gemma":[0.00003742257,0.000025999992,0.0050967676,0.000039952884,0.000026721862,0.0001351483,0.0002758907,0.37306374,0.0002786113,0.6187889,0.002193414,0.000037462167],"about_ca_topic_score_codex":0.012770213,"about_ca_topic_score_gemma":0.0043458054,"teacher_disagreement_score":0.012770213,"about_ca_system_score_codex":0.0024780545,"about_ca_system_score_gemma":0.00061424973,"threshold_uncertainty_score":0.025391757},"labels":[],"label_agreement":null},{"id":"W2246191775","doi":"","title":"Contribution of ICT Diffusion to Labour Productivity Growth: The United States, Canada, the Eurozone, and the United Kingdom, 1970-2013","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":27,"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":"Productivity; Kingdom; Information and Communications Technology; Economics; Demographic economics; Political science; International economics; Labour economics; Business; Economic growth","score_opus":0.023394979464828006,"score_gpt":0.20516499147427494,"score_spread":0.18177001200944692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2246191775","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":[0.8999065,0.036452733,0.00070450496,0.011063011,0.0004371241,0.000032191914,0.036261167,0.00012590752,0.015016787],"genre_scores_gemma":[0.96871984,0.013900189,0.0002144375,0.0002356373,0.0001556054,0.000011545711,0.009231316,0.000033176435,0.007498382],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992199,0.000044639906,0.000063268395,0.00012846579,0.00022229248,0.0003214864],"domain_scores_gemma":[0.9958331,0.0005085024,0.000777373,0.00009734002,0.002084128,0.0006996971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090284395,0.00071553484,0.00060953,0.0045182975,0.00090034714,0.0031411033,0.00072339387,0.0008608757,0.002600452],"category_scores_gemma":[0.005099562,0.00030147078,0.00079869415,0.013014897,0.0011285497,0.0019542044,0.0022123472,0.0018264714,0.00045666922],"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":[0.0006152782,0.000088962406,0.8652658,0.0006328037,0.0005170604,0.00073804875,0.0032389155,0.008474491,0.00039874934,0.0078981295,0.032447554,0.0796841],"study_design_scores_gemma":[0.000017677432,0.000029512652,0.9557134,0.0005092752,0.0002211698,0.00014384725,0.0043136897,0.0027731913,0.00069460185,0.0006898169,0.034852907,0.000040988725],"about_ca_topic_score_codex":0.93907326,"about_ca_topic_score_gemma":0.935498,"teacher_disagreement_score":0.060926735,"about_ca_system_score_codex":0.015768537,"about_ca_system_score_gemma":0.017691545,"threshold_uncertainty_score":0.12257105},"labels":[],"label_agreement":null},{"id":"W2247695059","doi":"","title":"Investment-Specific News Shocks and U.S. Business Cycles","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Business cycle; Economics; Recession; Investment (military); Futures studies; Consumption (sociology); Monetary economics; Variance (accounting); Demand shock; General equilibrium theory; Macroeconomics; Econometrics; Political science; Accounting; Computer science","score_opus":0.05931737120731915,"score_gpt":0.2697892411305042,"score_spread":0.21047186992318503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2247695059","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":[0.97770894,0.0022103162,0.0017953617,0.0026435915,0.000092452734,0.00001111067,0.0046418956,0.00008268148,0.010813579],"genre_scores_gemma":[0.9951638,0.0013614739,0.00020492157,0.00012143911,0.000057480473,0.0000037459317,0.002249443,0.000008970217,0.0008286911],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998863,0.000024678728,0.000011449452,0.00002727084,0.000028099023,0.000022144748],"domain_scores_gemma":[0.9967278,0.0011238559,0.0015906722,0.00012622644,0.00027394659,0.00015740942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044005114,0.00021721075,0.00027041134,0.0007889005,0.00021669257,0.0012459981,0.00010112791,0.00045073067,0.0022108383],"category_scores_gemma":[0.005744086,0.00015232396,0.00016362222,0.0017992108,0.00020750189,0.0004833579,0.0003383652,0.000556364,0.0003683915],"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":[0.0006510158,0.00013808627,0.8646512,0.00019138481,0.00031124588,0.00051429943,0.0006568528,0.024351105,0.001751169,0.015724692,0.018406702,0.07265218],"study_design_scores_gemma":[0.000038724666,0.00010248873,0.94564044,0.00009199928,0.00012737948,0.00016673445,0.0004993854,0.023791919,0.001204,0.01311617,0.015175656,0.00004507095],"about_ca_topic_score_codex":0.009376286,"about_ca_topic_score_gemma":0.010632754,"teacher_disagreement_score":0.009376286,"about_ca_system_score_codex":0.0005455795,"about_ca_system_score_gemma":0.00023927998,"threshold_uncertainty_score":0.018643439},"labels":[],"label_agreement":null},{"id":"W2249667962","doi":"","title":"Employment and Productivity: Exploring the Trade-off","year":2015,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Labour economics; Multifactor productivity; Production (economics); Capital (architecture); Capital intensity; Capital deepening; Total factor productivity; Human capital; Capital formation; Macroeconomics; Economic growth; Financial capital","score_opus":0.10356263340744803,"score_gpt":0.25275815593667894,"score_spread":0.1491955225292309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2249667962","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":[0.85245687,0.028888846,0.020114124,0.027205806,0.00014996037,0.000032234995,0.00031482973,0.00005608993,0.07078123],"genre_scores_gemma":[0.9950111,0.0026945993,0.0006407334,0.00022657911,0.00009365956,0.000007756091,0.00002900854,0.0000066432085,0.001289943],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990127,0.0005490352,0.000029682487,0.00013651328,0.00013311145,0.00013889902],"domain_scores_gemma":[0.9892408,0.009203654,0.00085130276,0.00017611826,0.0002322049,0.00029582687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001933545,0.00048421446,0.00051008404,0.0013719518,0.00038740892,0.0030556603,0.00058894523,0.0013144448,0.0054676696],"category_scores_gemma":[0.006894729,0.00020137632,0.00052930793,0.002021043,0.0019038989,0.0040694224,0.0019709826,0.0016439556,0.00045652105],"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":[0.0006712733,0.0006386727,0.42840186,0.00061000866,0.0009694293,0.0011095405,0.0027615617,0.028664188,0.0019347571,0.3721283,0.002226225,0.15988411],"study_design_scores_gemma":[0.00009110652,0.0004922543,0.33943114,0.0005727975,0.00029231483,0.00041944906,0.00763726,0.057444673,0.00080945005,0.5800414,0.012674515,0.00009358709],"about_ca_topic_score_codex":0.0025554225,"about_ca_topic_score_gemma":0.0025402205,"teacher_disagreement_score":0.0054676696,"about_ca_system_score_codex":0.0012456789,"about_ca_system_score_gemma":0.000785255,"threshold_uncertainty_score":0.018291235},"labels":[],"label_agreement":null},{"id":"W2253685675","doi":"","title":"Technological Transformation, Intellectual Property Rights and Second Best Theory","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Intellectual property; Work (physics); Law and economics; Cover (algebra); Property rights; Political science; Property (philosophy); Technological change; General theory; Sociology; Economics; Law; Neoclassical economics; Engineering; Epistemology; Philosophy","score_opus":0.018565171541631932,"score_gpt":0.18447948262582364,"score_spread":0.16591431108419172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2253685675","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":[0.02981199,0.03098579,0.09859332,0.07027848,0.0008566822,0.000051879615,0.0001820527,0.00010719128,0.7691326],"genre_scores_gemma":[0.9142685,0.019360544,0.010821697,0.0046082367,0.0015424234,0.000116155104,0.00011792984,0.00007950265,0.04908512],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99764013,0.0011113011,0.00008503842,0.00031286257,0.00046946845,0.0003811094],"domain_scores_gemma":[0.99367744,0.0045707426,0.0005792324,0.00047800876,0.0004392866,0.0002553234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033523047,0.0005666774,0.0008938671,0.0024155453,0.0026564102,0.0073844385,0.00164222,0.003807244,0.013572872],"category_scores_gemma":[0.0067041335,0.00026193273,0.0008974172,0.0030768688,0.014516146,0.008566739,0.0025916388,0.005207972,0.0013312642],"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":[0.0000017500273,0.000005770078,0.000037985814,0.00001246571,0.0000019510123,0.000014567249,0.000049212365,0.0004964784,0.0000062104236,0.9970854,0.00074385037,0.0015442834],"study_design_scores_gemma":[0.0000025826876,0.0000025351987,0.000041592644,0.000017468215,0.0000014232792,0.000013810394,0.000041093415,0.00062491006,0.00001321521,0.99532676,0.003912447,0.0000022557192],"about_ca_topic_score_codex":0.0037740665,"about_ca_topic_score_gemma":0.0021950777,"teacher_disagreement_score":0.013572872,"about_ca_system_score_codex":0.0052367668,"about_ca_system_score_gemma":0.001823742,"threshold_uncertainty_score":0.045405805},"labels":[],"label_agreement":null},{"id":"W2255311111","doi":"","title":"Оценка производственной функции модифицированной модели Узавы – Лукаса для развитых и развивающихся стран","year":2013,"lang":"ru","type":"article","venue":"Computers & composition/Computers and composition","topic":"Economic Growth and Productivity","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":"Human capital; Per capita; China; Estimation; Economics; Developing country; Geography; Political science; Economy; Regional science; Economic growth; Development economics; Sociology; Demography; Archaeology; Management","score_opus":0.012898848047848957,"score_gpt":0.1827970020041506,"score_spread":0.16989815395630165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2255311111","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":[0.28435245,0.0026909893,0.6241666,0.00054579024,0.00032399184,0.00053215853,0.0019555474,0.00085081835,0.084581636],"genre_scores_gemma":[0.7817983,0.0017381769,0.2042537,0.00003210743,0.000052523144,0.0005989234,0.00075751747,0.00017076122,0.010597939],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989813,0.00023334286,0.00006957802,0.00019486192,0.00043662713,0.00008429466],"domain_scores_gemma":[0.99828017,0.0008910216,0.00025343866,0.00025937305,0.00027761515,0.000038330785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001473287,0.00042545566,0.00050315977,0.0022426313,0.0006049806,0.0018087426,0.0005511167,0.00049711304,0.009395878],"category_scores_gemma":[0.005041143,0.00055049773,0.0008321861,0.0029037073,0.00089149666,0.0012018947,0.0006252239,0.00093541073,0.0026821767],"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":[0.00039801927,0.0002840249,0.027926667,0.00093031063,0.00024586282,0.00066357583,0.0024453918,0.09802237,0.021429645,0.23980772,0.0056471876,0.60219926],"study_design_scores_gemma":[0.00019398669,0.00068683084,0.07249782,0.0004988307,0.00041807647,0.0014536044,0.002860914,0.31827387,0.07769811,0.31680104,0.20815103,0.00046592322],"about_ca_topic_score_codex":0.0051904,"about_ca_topic_score_gemma":0.0042893933,"teacher_disagreement_score":0.009395878,"about_ca_system_score_codex":0.0008135887,"about_ca_system_score_gemma":0.0013232914,"threshold_uncertainty_score":0.03143233},"labels":[],"label_agreement":null},{"id":"W2256148366","doi":"10.34989/swp-2015-6","title":"A New Data Set of Quarterly Total Factor Productivity in the Canadian Business Sector","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Total factor productivity; Productivity; Factor (programming language); Data set; Set (abstract data type); Business sector; Econometrics; Growth accounting; Economics; Agricultural economics; Industrial organization; Business; Computer science; Statistics; Macroeconomics; Mathematics; Economy","score_opus":0.0583531223074812,"score_gpt":0.2329018435204265,"score_spread":0.1745487212129453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2256148366","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035595354,0.0005160658,0.0036378882,0.00029970618,0.00016744374,0.00029161127,0.94273484,0.000811061,0.015945992],"genre_scores_gemma":[0.051249273,0.00081169826,0.008412622,0.00009694797,0.00005307692,0.0004283971,0.9276391,0.00015829665,0.01115065],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997957,0.000051541872,0.000110521905,0.0002466939,0.0013480624,0.0002861102],"domain_scores_gemma":[0.9881593,0.00051052857,0.0005776634,0.00064041745,0.009417896,0.0006941719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009222584,0.0013191503,0.0008346444,0.013968696,0.0020194636,0.0020636546,0.0013838131,0.0005388028,0.011059532],"category_scores_gemma":[0.008080881,0.00037807,0.00072925066,0.020510571,0.00034716836,0.0008574022,0.00093223306,0.0013120002,0.004228892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004665969,0.00042111884,0.108117454,0.0011461879,0.0002344521,0.00041596664,0.0012675641,0.011444458,0.005075661,0.011533706,0.61314267,0.24673414],"study_design_scores_gemma":[0.0000669892,0.000045902336,0.41278714,0.0001592567,0.000095691124,0.00013934907,0.00057358056,0.004575171,0.0032101108,0.0009347231,0.5772332,0.00017883255],"about_ca_topic_score_codex":0.97310805,"about_ca_topic_score_gemma":0.9680185,"teacher_disagreement_score":0.026891947,"about_ca_system_score_codex":0.013279592,"about_ca_system_score_gemma":0.0304612,"threshold_uncertainty_score":0.09635067},"labels":[],"label_agreement":null},{"id":"W2256313080","doi":"10.3386/w13018","title":"Policy Distortions and Aggregate Productivity with Heterogeneous Plants","year":2007,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":253,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; University of Pennsylvania; National Science Foundation","keywords":"Aggregate (composite); Productivity; Economics; Natural resource economics; Business; Econometrics; Macroeconomics","score_opus":0.2984894669022562,"score_gpt":0.4414631347478669,"score_spread":0.14297366784561072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2256313080","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":[0.78105646,0.0005763733,0.16780771,0.0054540043,0.00012398414,0.00014280806,0.0014490681,0.00048111062,0.042908397],"genre_scores_gemma":[0.99395365,0.00028503587,0.0029249138,0.00013893233,0.00002665568,0.000043882996,0.00013230757,0.000021301841,0.0024733767],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875164,0.00040784435,0.00006119994,0.00027095256,0.00019279198,0.0003156391],"domain_scores_gemma":[0.99441814,0.0021498373,0.0021978095,0.0008069514,0.00025357582,0.0001737625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024740384,0.00069009676,0.001006894,0.0007675253,0.00055105786,0.0032464804,0.001022775,0.0015963286,0.0043133767],"category_scores_gemma":[0.012450321,0.00043770543,0.0010742807,0.0016230791,0.0019348337,0.0023326098,0.0015945269,0.0016375856,0.00044121675],"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":[0.00012333035,0.00010632561,0.008866551,0.00006238401,0.00008339929,0.00030099647,0.00021014443,0.7227079,0.0013078906,0.256821,0.0015015918,0.00790842],"study_design_scores_gemma":[0.00028374282,0.00015191613,0.012562562,0.000042959324,0.000096315445,0.00015040766,0.00040351684,0.54581076,0.0017240148,0.43189013,0.006816559,0.00006703324],"about_ca_topic_score_codex":0.014251824,"about_ca_topic_score_gemma":0.0057699904,"teacher_disagreement_score":0.014251824,"about_ca_system_score_codex":0.0046869135,"about_ca_system_score_gemma":0.0016440465,"threshold_uncertainty_score":0.03400606},"labels":[],"label_agreement":null},{"id":"W2256821278","doi":"","title":"Seasonality adjusted quarterly GDP data","year":2004,"lang":"en","type":"article","venue":"Journal of Income & Wealth","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Seasonality; Multiplicative function; Seasonal adjustment; Standard deviation; Econometrics; Economics; Gross output; Real gross domestic product; Statistics; Mathematics; Agricultural economics; Geography; Macroeconomics; Production (economics)","score_opus":0.06845247385307762,"score_gpt":0.2657716078160162,"score_spread":0.1973191339629386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2256821278","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22152252,0.00071337505,0.017502774,0.00053843524,0.00049560843,0.00049815426,0.7101252,0.0018292695,0.04677469],"genre_scores_gemma":[0.26382568,0.0010847634,0.019148586,0.0001685194,0.0001202943,0.0007064852,0.68820083,0.0005229978,0.0262218],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990107,0.00013675758,0.00014203622,0.00014758675,0.00043883454,0.00012405503],"domain_scores_gemma":[0.9971023,0.00035038363,0.0005457969,0.00045528295,0.0014617556,0.00008433784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087917474,0.00030110654,0.00033481183,0.0033787892,0.00023858267,0.0005874693,0.00046150837,0.00016277179,0.009146755],"category_scores_gemma":[0.005217244,0.0001520906,0.00034292447,0.007156968,0.00011702687,0.00035738572,0.00047673873,0.0005335189,0.0035371818],"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":[0.0009354153,0.00028391977,0.24573238,0.00080320856,0.00027119293,0.00042518167,0.0011720938,0.02225477,0.006198673,0.016643226,0.35415107,0.35112888],"study_design_scores_gemma":[0.000047554706,0.00017965907,0.53248495,0.000080695485,0.00005873466,0.0003285712,0.00042283445,0.0067431,0.004464987,0.0026905385,0.45243976,0.000058604848],"about_ca_topic_score_codex":0.024619212,"about_ca_topic_score_gemma":0.016557338,"teacher_disagreement_score":0.024619212,"about_ca_system_score_codex":0.0006022818,"about_ca_system_score_gemma":0.0010750828,"threshold_uncertainty_score":0.048951864},"labels":[],"label_agreement":null},{"id":"W2256959658","doi":"10.1108/ijoem-02-2015-0027","title":"Institution building and institutional voids","year":2016,"lang":"en","type":"article","venue":"International Journal of Emerging Markets","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Emerging markets; Institutional theory; BRIC; Institution; Institutional economics; Value (mathematics); Language change; Economics; Originality; Economic system; Transition economy; Business; Market economy; Political science; Macroeconomics; Neoclassical economics","score_opus":0.019877991020986325,"score_gpt":0.23858600254292883,"score_spread":0.2187080115219425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2256959658","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":[0.848265,0.0028891051,0.011556954,0.0034175215,0.000055095094,0.00011142034,0.00017601802,0.00009877888,0.1334301],"genre_scores_gemma":[0.9982169,0.00023129444,0.00046548466,0.000034916742,0.000005044564,0.000009545087,0.000024741032,0.0000065937556,0.0010054013],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996415,0.001267331,0.00027170425,0.0003879418,0.0007622984,0.0008956311],"domain_scores_gemma":[0.98583686,0.0039045147,0.0054956116,0.0016538379,0.0013263675,0.0017827795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057677394,0.00013625808,0.00032761646,0.0031863295,0.0037182998,0.0051099123,0.0007882621,0.00052655936,0.0046167057],"category_scores_gemma":[0.010061117,0.0001840299,0.00035651473,0.0024942055,0.013712849,0.0061595356,0.00681103,0.001424593,0.00029513997],"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":[0.000068754605,0.000096645286,0.08959511,0.00035827883,0.000048414877,0.0008413493,0.039031826,0.0020619843,0.00090047455,0.7714515,0.0012817653,0.09426393],"study_design_scores_gemma":[0.00002948239,0.00029763923,0.35163128,0.002707072,0.000101181016,0.0019157956,0.13632454,0.0031327356,0.0026027923,0.23002802,0.27111018,0.00011928475],"about_ca_topic_score_codex":0.0045992653,"about_ca_topic_score_gemma":0.006034763,"teacher_disagreement_score":0.0057677394,"about_ca_system_score_codex":0.0046130037,"about_ca_system_score_gemma":0.0074489014,"threshold_uncertainty_score":0.033469796},"labels":[],"label_agreement":null},{"id":"W2259401449","doi":"10.2139/ssrn.2474641","title":"The Economics of Fertility Timing: An Euler Equation Approach","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Queen's University","funders":"","keywords":"Fertility; Euler's formula; Euler equations; Economics; Econometrics; Mathematics; Demography; Sociology; Mathematical analysis; Population","score_opus":0.039516006552399514,"score_gpt":0.2153424030772018,"score_spread":0.17582639652480228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2259401449","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":[0.07350017,0.034578204,0.7283396,0.041674796,0.0015865406,0.00013941739,0.003017325,0.0002340393,0.11692985],"genre_scores_gemma":[0.7594833,0.05540636,0.065245666,0.0026329064,0.0030688292,0.0002394694,0.0014353646,0.00021267937,0.112275414],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995123,0.00020974313,0.000025124651,0.000094754636,0.00010425038,0.000053772717],"domain_scores_gemma":[0.9969236,0.0021352964,0.00043185335,0.00014063795,0.00022146376,0.00014703252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020637058,0.00057510124,0.0011326725,0.0013070418,0.0004811716,0.002369732,0.0017965424,0.0026818912,0.0130819725],"category_scores_gemma":[0.011325034,0.0009355476,0.0010032882,0.002047248,0.0014709199,0.0048379656,0.001122477,0.002884472,0.0013993938],"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":[0.000015828833,0.000019044883,0.0012331344,0.000058067795,0.00002663542,0.000091030386,0.00006446131,0.09427317,0.00016616304,0.8924631,0.003239837,0.008349452],"study_design_scores_gemma":[0.00004145475,0.000016054335,0.0010737728,0.00007913812,0.000034262965,0.00014390964,0.000068519235,0.16097054,0.0000848243,0.8277099,0.009742914,0.00003469165],"about_ca_topic_score_codex":0.009328904,"about_ca_topic_score_gemma":0.004874802,"teacher_disagreement_score":0.0130819725,"about_ca_system_score_codex":0.0019768463,"about_ca_system_score_gemma":0.0018773736,"threshold_uncertainty_score":0.04376352},"labels":[],"label_agreement":null},{"id":"W2259579273","doi":"10.1142/9789812833679_0019","title":"Neoclassical Growth Accounting and Frontier Analysis: A Synthesis","year":2009,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC eBooks","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal","funders":"","keywords":"Frontier; Economics; Accounting; History; Archaeology","score_opus":0.025920009716546566,"score_gpt":0.19052447751385765,"score_spread":0.16460446779731108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2259579273","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004027192,0.7433182,0.11492516,0.00942346,0.0016158533,0.00006358779,0.0010318193,0.00016892698,0.12542582],"genre_scores_gemma":[0.09165338,0.8324993,0.046816763,0.0012499075,0.0026488362,0.00014946863,0.0009524051,0.0001387576,0.02389116],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993863,0.00014289423,0.000039408056,0.000048863625,0.0003487718,0.00003369898],"domain_scores_gemma":[0.99846554,0.0008091963,0.00008949758,0.00013858856,0.0004634794,0.000033667064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018088802,0.0013332126,0.001086185,0.0063459054,0.0005153656,0.0030880254,0.001144179,0.001023762,0.0070623946],"category_scores_gemma":[0.004011783,0.0006416616,0.0007310755,0.0095369965,0.0016944467,0.0027178223,0.0011651086,0.0017552929,0.0016464862],"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":[0.000014622474,0.00006130665,0.00049982016,0.0017557315,0.000037779802,0.00011800116,0.00015618397,0.029993258,0.00015171776,0.7445592,0.02787051,0.19478184],"study_design_scores_gemma":[0.0000057310795,0.00001786078,0.002159591,0.00312973,0.000026197049,0.0001087731,0.00017521111,0.033459615,0.00035469068,0.6770212,0.28348753,0.000053869142],"about_ca_topic_score_codex":0.014486074,"about_ca_topic_score_gemma":0.009837814,"teacher_disagreement_score":0.014486074,"about_ca_system_score_codex":0.0062291273,"about_ca_system_score_gemma":0.0033536814,"threshold_uncertainty_score":0.04519576},"labels":[],"label_agreement":null},{"id":"W2260111582","doi":"","title":"Can Ageing North Benefit from Expanding Trade with South","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Diversification (marketing strategy); Economics; Per capita; Consumption (sociology); International trade; Geography; Business; Demography","score_opus":0.04748234472556991,"score_gpt":0.2526449875881733,"score_spread":0.20516264286260336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2260111582","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":[0.9839304,0.000641742,0.003828276,0.0014294484,0.000040142357,0.000010282692,0.00018579561,0.000018615254,0.009915258],"genre_scores_gemma":[0.9972596,0.00028475325,0.00040332964,0.00020691381,0.000036621266,0.000003992592,0.00007644896,0.0000071642003,0.00172102],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99985933,0.000034790697,0.0000073543774,0.000037326394,0.000013668962,0.00004747168],"domain_scores_gemma":[0.9988275,0.0002625741,0.00043604732,0.00013078762,0.00010615025,0.00023693897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001099299,0.00026243116,0.0004136046,0.00029698823,0.00039756313,0.0010345235,0.0002444087,0.00072515605,0.0044206106],"category_scores_gemma":[0.003822506,0.0001544956,0.00057832705,0.00028607817,0.0006728803,0.001837528,0.0013001665,0.0006186851,0.0006317565],"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":[0.0022870402,0.000187278,0.7092915,0.00045465634,0.0005221512,0.0019077198,0.003706065,0.080696784,0.0104470095,0.07814787,0.00543244,0.106919385],"study_design_scores_gemma":[0.0003059825,0.0012032157,0.7340707,0.00041009736,0.0009941608,0.0023896121,0.008567574,0.06664996,0.005888952,0.12709273,0.05230273,0.00012420474],"about_ca_topic_score_codex":0.0033146085,"about_ca_topic_score_gemma":0.0041695395,"teacher_disagreement_score":0.0044206106,"about_ca_system_score_codex":0.00041310204,"about_ca_system_score_gemma":0.00028452472,"threshold_uncertainty_score":0.014788389},"labels":[],"label_agreement":null},{"id":"W2261757271","doi":"","title":"Policy Forum: Mountains and Molehills--Effects of the Small Business Deduction","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Business","score_opus":0.04021776929017026,"score_gpt":0.27649235726466476,"score_spread":0.2362745879744945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2261757271","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":[0.006199226,0.0147050135,0.0006682106,0.6464281,0.011160724,0.000087595334,0.0035842217,0.00020120593,0.31696567],"genre_scores_gemma":[0.16620661,0.01647539,0.0015753139,0.19733217,0.0074475394,0.00026207312,0.0015858692,0.00050703285,0.60860807],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984035,0.00047978462,0.000048435963,0.00022311164,0.00053248863,0.00031265322],"domain_scores_gemma":[0.99624544,0.0020106847,0.00022488511,0.0002372582,0.00073241844,0.0005493078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025757232,0.00031110455,0.00043715455,0.0007084115,0.0041323546,0.0066520344,0.0011269485,0.007959736,0.12017074],"category_scores_gemma":[0.012895114,0.0002424297,0.00048871915,0.0010346096,0.0018825495,0.0034683894,0.0022180018,0.0048603388,0.01126114],"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":[0.00010720582,0.000028527422,0.00054405234,0.00010613161,0.0000100349835,0.0001390247,0.0003088304,0.00015544865,0.00011753323,0.13173604,0.8468009,0.019946184],"study_design_scores_gemma":[0.00003336043,0.0000115721505,0.0013560351,0.00021767971,0.000011144399,0.000029661538,0.00048131016,0.00012722454,0.00017651657,0.014213581,0.9833309,0.000011135591],"about_ca_topic_score_codex":0.06357911,"about_ca_topic_score_gemma":0.05889498,"teacher_disagreement_score":0.12017074,"about_ca_system_score_codex":0.0036440073,"about_ca_system_score_gemma":0.007559637,"threshold_uncertainty_score":0.40201116},"labels":[],"label_agreement":null},{"id":"W2263748184","doi":"10.3390/econometrics4010006","title":"Functional-Coefficient Spatial Durbin Models with Nonparametric Spatial Weights: An Application to Economic Growth","year":2016,"lang":"en","type":"article","venue":"Econometrics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Purdue University","keywords":"Nonparametric statistics; Econometrics; Mathematics; Statistics; Spatial analysis","score_opus":0.026488834281336478,"score_gpt":0.19275165552857182,"score_spread":0.16626282124723535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2263748184","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":[0.0872171,0.000507165,0.9070347,0.0008238462,0.000060341135,0.00007648573,0.00028656106,0.0002556524,0.003738183],"genre_scores_gemma":[0.8958746,0.0008098219,0.092671745,0.00015708637,0.000073738316,0.00025034102,0.00046669072,0.00013712756,0.0095588425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99732625,0.0016594598,0.000092723545,0.00040390977,0.00029842538,0.00021915545],"domain_scores_gemma":[0.98937327,0.0069772867,0.0015175588,0.00083523866,0.0011097591,0.00018687257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074598663,0.0010886712,0.0017066841,0.0014661568,0.0007504559,0.0018183499,0.0029328135,0.0017504259,0.0037498535],"category_scores_gemma":[0.020930551,0.0006966186,0.0012965982,0.0030300796,0.0023776633,0.0037660776,0.0026282456,0.0026782304,0.00043051873],"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":[0.0000881951,0.000058784564,0.0067811715,0.00010032489,0.00010142349,0.0003537527,0.00034445923,0.6154252,0.00034501846,0.35149992,0.0014097844,0.02349194],"study_design_scores_gemma":[0.000011223128,0.000023015673,0.0006282874,0.000009571905,0.000015135937,0.000033456323,0.000078529934,0.91701955,0.00014032195,0.080998175,0.0010264548,0.000016187416],"about_ca_topic_score_codex":0.019106682,"about_ca_topic_score_gemma":0.01308063,"teacher_disagreement_score":0.019106682,"about_ca_system_score_codex":0.002439052,"about_ca_system_score_gemma":0.0013826084,"threshold_uncertainty_score":0.039452016},"labels":[],"label_agreement":null},{"id":"W2264391856","doi":"","title":"International Comparison of Industry Productivity","year":2008,"lang":"en","type":"article","venue":"Economic round-up","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Frontier; Quarter (Canadian coin); Economics; Economic geography; Multifactor productivity; Total factor productivity; Agricultural economics; International trade; Geography; Macroeconomics","score_opus":0.07809551852767926,"score_gpt":0.2662472859434441,"score_spread":0.18815176741576484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2264391856","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":[0.70610976,0.0074659674,0.0027854962,0.0010897549,0.00029565964,0.000055461085,0.019848453,0.00023061322,0.26211888],"genre_scores_gemma":[0.968628,0.0025709625,0.00096795324,0.000072557945,0.00009326474,0.000029272365,0.014669875,0.000037520203,0.012930664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906486,0.00010526896,0.0000743309,0.00019027982,0.00036571705,0.00019957211],"domain_scores_gemma":[0.9963701,0.000637646,0.0006590193,0.00027156612,0.001801606,0.0002600908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011704068,0.00028016663,0.0002999613,0.0076294118,0.00027852497,0.001523636,0.00025056297,0.00021031039,0.0077220257],"category_scores_gemma":[0.0048420173,0.00008267301,0.00043456585,0.01110627,0.00028162645,0.0011505362,0.0010070807,0.00042753218,0.0017826112],"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":[0.00089177664,0.0001925768,0.49621624,0.0009155712,0.00060119305,0.0005602592,0.0044225026,0.005936404,0.0036290465,0.060748845,0.05325011,0.37263548],"study_design_scores_gemma":[0.0000130700355,0.00013246298,0.90988845,0.000111806796,0.000077406505,0.0002510737,0.0018234845,0.000945928,0.0012816859,0.002149085,0.0833047,0.000020935313],"about_ca_topic_score_codex":0.0075667133,"about_ca_topic_score_gemma":0.0068191797,"teacher_disagreement_score":0.0077220257,"about_ca_system_score_codex":0.0009793984,"about_ca_system_score_gemma":0.00050394936,"threshold_uncertainty_score":0.025832713},"labels":[],"label_agreement":null},{"id":"W2265388365","doi":"10.2139/ssrn.968666","title":"R&amp;D Spending and Knowledge Spillovers","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","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":"Bank of Canada; Government of Canada","funders":"","keywords":"Economics; Business; Monetary economics","score_opus":0.02335065214293077,"score_gpt":0.23006845511922722,"score_spread":0.20671780297629644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2265388365","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":[0.94272095,0.0028460806,0.001328616,0.0032900155,0.000038610302,0.000029184974,0.0025065236,0.000067293586,0.047172762],"genre_scores_gemma":[0.9918339,0.0010181,0.00015163084,0.0001209903,0.000051369265,0.000007711362,0.0003103463,0.0000054581346,0.006500617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925584,0.00021942247,0.00005816457,0.00012307054,0.000093627656,0.00024987574],"domain_scores_gemma":[0.9758219,0.014683718,0.0054550823,0.0010544233,0.0008005447,0.0021843428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015963103,0.0002700548,0.0004905316,0.0019159447,0.00041206527,0.0027584722,0.0002948663,0.0012143146,0.027267711],"category_scores_gemma":[0.01225833,0.000222757,0.00054643163,0.001951266,0.0008387487,0.0019365066,0.0016066579,0.0008081209,0.0024588504],"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":[0.0038130425,0.0020999773,0.7601446,0.00052095775,0.00087425654,0.0019585956,0.0011275825,0.031560905,0.003004499,0.06007605,0.011071054,0.12374863],"study_design_scores_gemma":[0.00037534366,0.000793338,0.8572466,0.00031335143,0.0011504799,0.0013347258,0.003482025,0.013403242,0.004628025,0.092817254,0.024348136,0.00010754084],"about_ca_topic_score_codex":0.006101728,"about_ca_topic_score_gemma":0.0064788857,"teacher_disagreement_score":0.027267711,"about_ca_system_score_codex":0.0010191357,"about_ca_system_score_gemma":0.0010594917,"threshold_uncertainty_score":0.091219604},"labels":[],"label_agreement":null},{"id":"W2267952172","doi":"10.1111/j.1467-9663.2010.00631.x","title":"THE GERMAN EAST‐WEST DIVIDE IN KNOWLEDGE PRODUCTION: AN APPLICATION TO NANOMATERIAL PATENTING","year":2010,"lang":"en","type":"article","venue":"Tijdschrift voor Economische en Sociale Geografie","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universität Kassel; Università degli Studi Roma Tre; University of Toronto; Purdue University","keywords":"Knowledge production; Production (economics); German; Economic geography; Regional science; Function (biology); West germany; Business; Geography; Knowledge management; Economics; Computer science; Microeconomics","score_opus":0.016877548103894944,"score_gpt":0.24372657869771253,"score_spread":0.22684903059381759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2267952172","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":[0.94334066,0.0057285973,0.016010046,0.004083819,0.0000348071,0.000046681373,0.00070543797,0.000040913565,0.030008905],"genre_scores_gemma":[0.99756503,0.0006871929,0.001123882,0.00007508,0.000018965084,0.000008988329,0.00009894695,0.0000037063107,0.00041826593],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99912876,0.00034473173,0.000048738704,0.00019822764,0.00013036736,0.00014920488],"domain_scores_gemma":[0.98719597,0.010134657,0.001434555,0.0004670426,0.00052740873,0.00024027265],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003268889,0.00028462024,0.00063625886,0.004074969,0.0009136974,0.002419691,0.0003939842,0.0005878334,0.004364344],"category_scores_gemma":[0.008617511,0.00013984209,0.0006443967,0.0059324554,0.0020749508,0.0021502727,0.002241139,0.00063460186,0.00018668713],"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":[0.0006274662,0.0001813397,0.33421946,0.00069444673,0.00057641725,0.0017343074,0.007745159,0.025479937,0.0017237096,0.43131688,0.0044719502,0.19122887],"study_design_scores_gemma":[0.00011340148,0.00022635212,0.6524758,0.00042150804,0.0008929548,0.00048143562,0.013293592,0.05683011,0.0026055416,0.2534646,0.019095475,0.00009926064],"about_ca_topic_score_codex":0.020920932,"about_ca_topic_score_gemma":0.01490689,"teacher_disagreement_score":0.995925,"about_ca_system_score_codex":0.0022981109,"about_ca_system_score_gemma":0.0006539324,"threshold_uncertainty_score":0.04159832},"labels":[],"label_agreement":null},{"id":"W2268071845","doi":"","title":"Perspectives en matière de croissance de la productivité et du PIB potentiel","year":2007,"lang":"fr","type":"article","venue":"Bulletin de la Banque de France","topic":"Economic Growth and Productivity","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":"Political science; Humanities; Philosophy","score_opus":0.005905414058136463,"score_gpt":0.2127980394243958,"score_spread":0.20689262536625933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2268071845","genre_codex":"review","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":[0.2619862,0.38998353,0.08085942,0.08329617,0.0016357237,0.00007386364,0.004581974,0.00041564408,0.17716743],"genre_scores_gemma":[0.8011547,0.12715092,0.026681095,0.0038680243,0.0027328238,0.00010188058,0.0016382214,0.00021964105,0.036452703],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99655044,0.0010524208,0.00010818802,0.0008247801,0.0011585498,0.0003055528],"domain_scores_gemma":[0.98542124,0.008481565,0.0013585284,0.0005646721,0.0037180057,0.00045602486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008084915,0.0010459078,0.00092676614,0.0048344405,0.0009507141,0.009490136,0.0013473096,0.002815325,0.009712598],"category_scores_gemma":[0.014496678,0.00067925,0.0012348708,0.004514597,0.0026781275,0.005946882,0.0009574572,0.0043043634,0.0013370343],"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":[0.00091165653,0.00022883006,0.058282945,0.0009506702,0.00031144742,0.00074912695,0.0043501826,0.013294635,0.012829626,0.56160265,0.014142071,0.33234617],"study_design_scores_gemma":[0.00007083428,0.00064322463,0.27408665,0.0016242488,0.00017561304,0.0014140467,0.0051385663,0.014531573,0.01787916,0.23118731,0.45287794,0.0003708118],"about_ca_topic_score_codex":0.07008421,"about_ca_topic_score_gemma":0.032562777,"teacher_disagreement_score":0.07008421,"about_ca_system_score_codex":0.007878302,"about_ca_system_score_gemma":0.0031046665,"threshold_uncertainty_score":0.13935256},"labels":[],"label_agreement":null},{"id":"W2268801815","doi":"","title":"La révision des comptes de productivité multifactorielle","year":2014,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Humanities; Political science; Physics; Art","score_opus":0.04870348809323683,"score_gpt":0.2878203114734881,"score_spread":0.23911682338025125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2268801815","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":[0.106432885,0.064546674,0.7497089,0.015212719,0.008795698,0.0011350268,0.019718777,0.0027500845,0.031699352],"genre_scores_gemma":[0.5420623,0.025526423,0.38275045,0.0033379896,0.0031420481,0.0016409303,0.012607436,0.0015419656,0.027390353],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9447755,0.023492035,0.004644583,0.006896558,0.018837357,0.0013539188],"domain_scores_gemma":[0.76546913,0.11363717,0.014402204,0.021839555,0.08288394,0.0017679101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06684648,0.003176635,0.0017705611,0.01091534,0.001715351,0.005676434,0.003695777,0.0012169239,0.008746922],"category_scores_gemma":[0.1879697,0.0010144018,0.0065414584,0.01430996,0.002700439,0.0026832714,0.0027217076,0.0043634926,0.0021024253],"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":[0.00051648973,0.00011616991,0.15004353,0.0038276566,0.0030231471,0.0005820262,0.003451137,0.023836866,0.0033673325,0.07343825,0.031397305,0.70640004],"study_design_scores_gemma":[0.00013096485,0.001037256,0.30483657,0.0072450517,0.0023866957,0.0013973676,0.0023671933,0.074211866,0.0130411675,0.061257523,0.5313335,0.0007548444],"about_ca_topic_score_codex":0.22242299,"about_ca_topic_score_gemma":0.1233597,"teacher_disagreement_score":0.22242299,"about_ca_system_score_codex":0.013719306,"about_ca_system_score_gemma":0.020126315,"threshold_uncertainty_score":0.4422567},"labels":[],"label_agreement":null},{"id":"W2270608662","doi":"","title":"Convergence et divergence provinciales au Canada, de 1926 à 2011","year":2015,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Humanities; Political science; Convergence (economics); Economics; Art; Economic growth","score_opus":0.055214628425864505,"score_gpt":0.2785078371906088,"score_spread":0.2232932087647443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2270608662","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":[0.9374636,0.004076155,0.003245666,0.0013491147,0.000055414563,0.000040157436,0.02344795,0.00011328,0.0302087],"genre_scores_gemma":[0.9789131,0.0013311584,0.0016926274,0.00006612674,0.00001648837,0.000022206028,0.00640747,0.000034187608,0.011516668],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922776,0.000053368018,0.000034732002,0.00016032704,0.00026101197,0.00026281513],"domain_scores_gemma":[0.99734527,0.00037099147,0.0003163761,0.00010107339,0.0015731134,0.00029323134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007729281,0.00033684247,0.00052448513,0.0034183932,0.002403986,0.0021366032,0.0005596072,0.0002693818,0.0049198205],"category_scores_gemma":[0.004075619,0.00021112387,0.0006353111,0.0081903115,0.0010304796,0.00069171,0.0011516502,0.0007783634,0.00032442846],"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":[0.00041394323,0.0000383185,0.8687827,0.0002908266,0.00035387502,0.0004518368,0.009456843,0.006066581,0.0009564745,0.022744067,0.0071915914,0.08325295],"study_design_scores_gemma":[0.000006482516,0.000015041112,0.9727936,0.000071557384,0.000041559797,0.000071529204,0.0025132485,0.0014384086,0.00025862234,0.0006314441,0.022134554,0.00002407231],"about_ca_topic_score_codex":0.99248487,"about_ca_topic_score_gemma":0.99521166,"teacher_disagreement_score":0.027964974,"about_ca_system_score_codex":0.027964974,"about_ca_system_score_gemma":0.03120348,"threshold_uncertainty_score":0.202901},"labels":[],"label_agreement":null},{"id":"W2273899099","doi":"10.4018/978-1-61520-799-2.ch014","title":"International ICT Spillover","year":2010,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; University of Saskatchewan","funders":"","keywords":"Information and Communications Technology; Spillover effect; Productivity; Context (archaeology); Panel data; Business; Empirical evidence; Economics; Economic growth; Political science; Macroeconomics; Geography; Econometrics","score_opus":0.024941490367957692,"score_gpt":0.21223295972891693,"score_spread":0.18729146936095922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2273899099","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":[0.0121201845,0.016866783,0.0049160323,0.0028191525,0.000511331,0.000038485792,0.00078392617,0.00019026693,0.9617538],"genre_scores_gemma":[0.32597345,0.09636363,0.006967499,0.0029363136,0.001350242,0.00016959949,0.0033860316,0.00020350843,0.5626497],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997396,0.000038479702,0.00001115717,0.000056240653,0.00009425258,0.0000601613],"domain_scores_gemma":[0.9996524,0.000117948104,0.000041230305,0.000061393905,0.00007948532,0.000047579095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040539485,0.00080568047,0.0003869278,0.0023055945,0.00064489036,0.0036145258,0.00042932635,0.00086667197,0.057481624],"category_scores_gemma":[0.0010840838,0.00026670893,0.0006208405,0.0043502916,0.0007876209,0.0032320067,0.0025956035,0.001361317,0.010513166],"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":[0.000036088877,0.000078164056,0.0027727415,0.0006521551,0.000032407603,0.0006267205,0.0016624712,0.002966558,0.0007884314,0.57360953,0.119223654,0.29755107],"study_design_scores_gemma":[0.00000852898,0.000034930752,0.0052978024,0.000814195,0.00003381877,0.0009700831,0.0010288655,0.00092420477,0.00096992444,0.067758135,0.92214346,0.00001624265],"about_ca_topic_score_codex":0.0023180004,"about_ca_topic_score_gemma":0.0022597245,"teacher_disagreement_score":0.057481624,"about_ca_system_score_codex":0.0021733907,"about_ca_system_score_gemma":0.0013094903,"threshold_uncertainty_score":0.1922952},"labels":[],"label_agreement":null},{"id":"W2276354709","doi":"","title":"Is the Rise in Wage Inequality the Price to Pay for Innovation and Growth","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Economics; Technological change; Inequality; Wage; Technical change; Human capital; Labour economics; Wage inequality; Dimension (graph theory); Productivity; Macroeconomics; Market economy","score_opus":0.033982242500796775,"score_gpt":0.2358436055880611,"score_spread":0.20186136308726432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2276354709","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":[0.45703077,0.01836122,0.067374066,0.15647043,0.0017117907,0.000058159127,0.0013981665,0.00025619843,0.29733923],"genre_scores_gemma":[0.98338336,0.0043502823,0.0012235367,0.0012818417,0.00116302,0.00003045304,0.00013535957,0.000035419587,0.008396735],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99930346,0.00014365999,0.000017338974,0.00014315751,0.00015589876,0.00023643843],"domain_scores_gemma":[0.99883276,0.00054451724,0.0002707824,0.00012424438,0.00010505128,0.00012267902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007643364,0.0002833061,0.0005828375,0.00092619203,0.00089771434,0.0036517093,0.00083237485,0.0029813205,0.009636846],"category_scores_gemma":[0.003943612,0.00016252705,0.00063255907,0.001301778,0.0023718611,0.0030486884,0.0013980137,0.0015884647,0.0012729785],"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":[0.00009996659,0.00007417857,0.013744524,0.00010783144,0.000054932967,0.00024268322,0.0009551105,0.007633775,0.0005922489,0.9187566,0.006627063,0.05111104],"study_design_scores_gemma":[0.00003350947,0.00007289383,0.026317308,0.00021876275,0.000026707648,0.00034307496,0.0016315507,0.015517812,0.0002673758,0.9188233,0.036701526,0.000046120018],"about_ca_topic_score_codex":0.0050910674,"about_ca_topic_score_gemma":0.0022583522,"teacher_disagreement_score":0.009636846,"about_ca_system_score_codex":0.0017376456,"about_ca_system_score_gemma":0.0006333886,"threshold_uncertainty_score":0.032238483},"labels":[],"label_agreement":null},{"id":"W2278800063","doi":"","title":"Measuring Polarization and Convergence as Transitional Processes in the Absence of a Cardinal Ordering","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Axiom; Polarization (electrochemistry); Mathematical economics; Mathematics; Statistical physics; Convergence (economics); Econometrics; Physics; Geometry; Economics","score_opus":0.08187325175450763,"score_gpt":0.2806078260464584,"score_spread":0.19873457429195077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2278800063","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":[0.48884276,0.00033705993,0.4567037,0.0006435132,0.00009166044,0.00017175652,0.00037693934,0.00023930025,0.052593336],"genre_scores_gemma":[0.9481774,0.00014892018,0.049462654,0.00007735056,0.000046736233,0.00021919784,0.00018650029,0.000052807536,0.0016285774],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99133533,0.0040491954,0.00051006133,0.0011328969,0.0023428565,0.0006297056],"domain_scores_gemma":[0.9591962,0.025459863,0.0055715293,0.004584927,0.0032829791,0.0019044435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012638657,0.0005978773,0.0008055603,0.0040698517,0.0013362367,0.0060935984,0.0010787485,0.00094517716,0.0026330536],"category_scores_gemma":[0.045405783,0.00038272017,0.0009330586,0.003874108,0.007698498,0.011145348,0.0067865658,0.0030455887,0.00034931867],"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":[0.0003586571,0.00013313633,0.03273377,0.00015291826,0.000093009934,0.00018760966,0.00754876,0.014309,0.0038628,0.8909808,0.0005347151,0.04910494],"study_design_scores_gemma":[0.000020785423,0.00022900857,0.031753946,0.00012781889,0.000055666922,0.00021205358,0.004061441,0.06319905,0.0030488765,0.89261097,0.0045871856,0.00009319966],"about_ca_topic_score_codex":0.0009731014,"about_ca_topic_score_gemma":0.00053907715,"teacher_disagreement_score":0.012638657,"about_ca_system_score_codex":0.0016323577,"about_ca_system_score_gemma":0.0012865615,"threshold_uncertainty_score":0.06684041},"labels":[],"label_agreement":null},{"id":"W2279893129","doi":"","title":"Aplicación de un modelo de regresión a análisis de los conductos de transferencia tecnológica del cluster aeroespacial andaluz","year":2015,"lang":"es","type":"article","venue":"Revista de estudios regionales","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Humanities; Political science; Philosophy","score_opus":0.05258930908355219,"score_gpt":0.25709541675469,"score_spread":0.2045061076711378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2279893129","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":[0.88140905,0.0005404714,0.10277249,0.001550691,0.00012853318,0.0003732143,0.0021748722,0.000841244,0.010209595],"genre_scores_gemma":[0.9814161,0.00027860625,0.011569664,0.00006237093,0.000025191819,0.0002965095,0.0009832206,0.00007737841,0.005291096],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976152,0.001279988,0.00009837514,0.000537812,0.00021257564,0.0002560972],"domain_scores_gemma":[0.99100024,0.007051014,0.0006313599,0.00036840173,0.00080325647,0.00014574747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005313715,0.0013701845,0.0012549541,0.0020131462,0.00053193385,0.0035459374,0.0022316596,0.0018257344,0.00828992],"category_scores_gemma":[0.014754176,0.00073475245,0.0033499093,0.0022802902,0.0006810088,0.0016062992,0.0013288042,0.0018111332,0.00093187264],"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":[0.00043803363,0.0003436313,0.118293546,0.0002925582,0.00086300884,0.00033531565,0.0010710874,0.83791524,0.0008125903,0.01062433,0.0016479571,0.027362691],"study_design_scores_gemma":[0.00003388792,0.00016078794,0.02247348,0.00006153351,0.00018861044,0.000049189966,0.00072825636,0.9712893,0.00029759336,0.0029057406,0.0017788535,0.000032804975],"about_ca_topic_score_codex":0.088958174,"about_ca_topic_score_gemma":0.026947971,"teacher_disagreement_score":0.088958174,"about_ca_system_score_codex":0.0033513312,"about_ca_system_score_gemma":0.0032275673,"threshold_uncertainty_score":0.17688078},"labels":[],"label_agreement":null},{"id":"W2280225226","doi":"","title":"Technology Shock and the Business Cycle in the G7 Countries: A Structural Vector Error Correction Model","year":2015,"lang":"en","type":"preprint","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Economic Growth and Productivity","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":"Business cycle; Shock (circulatory); Investment (military); Economics; Consumption (sociology); Technology shock; Variation (astronomy); Error correction model; Econometrics; Monetary economics; Macroeconomics; Monetary policy; Political science; Dynamic stochastic general equilibrium","score_opus":0.028552716208303703,"score_gpt":0.2339224940990712,"score_spread":0.2053697778907675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2280225226","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":[0.7228215,0.0023412835,0.25528118,0.0040917145,0.00044061954,0.00019767538,0.003678484,0.0008691995,0.010278243],"genre_scores_gemma":[0.9718777,0.0015571052,0.0106388945,0.000258963,0.00014420928,0.00011673034,0.0034350373,0.00007787925,0.011893448],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898833,0.00041596868,0.0000660379,0.00021547443,0.00013981249,0.00017434347],"domain_scores_gemma":[0.9962441,0.0022218162,0.0007478812,0.00026534472,0.00040680522,0.00011418648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025901257,0.00079418154,0.0015954601,0.0014049842,0.00050801097,0.002498335,0.00132415,0.0018282058,0.0035054286],"category_scores_gemma":[0.00628981,0.0005337653,0.0013055613,0.0021331902,0.001118987,0.0011971028,0.0012439165,0.0019319932,0.0008803269],"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":[0.00038448186,0.00013825107,0.06656794,0.00016161954,0.0007265628,0.00072247203,0.00038890663,0.81317353,0.00070447515,0.07688199,0.0058456063,0.03430414],"study_design_scores_gemma":[0.00010665848,0.00011454882,0.010351219,0.00005300658,0.00015744547,0.0000912999,0.00010644133,0.96229637,0.0002959824,0.021800162,0.004579952,0.000046765745],"about_ca_topic_score_codex":0.028749235,"about_ca_topic_score_gemma":0.011674822,"teacher_disagreement_score":0.028749235,"about_ca_system_score_codex":0.0008226948,"about_ca_system_score_gemma":0.0013476574,"threshold_uncertainty_score":0.057163775},"labels":[],"label_agreement":null},{"id":"W2282854008","doi":"10.2139/ssrn.3321452","title":"Learning Efficiency Shocks, Knowledge Capital and the Business Cycle: A Bayesian Evaluation","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Business cycle; Bayesian probability; Econometrics; Economics; Computer science; Business; Artificial intelligence; Macroeconomics","score_opus":0.011037949413352826,"score_gpt":0.22140193869968763,"score_spread":0.21036398928633482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2282854008","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":[0.50424266,0.002235189,0.4772405,0.0044808374,0.00007724809,0.00028512004,0.00051671284,0.00016737082,0.010754385],"genre_scores_gemma":[0.9668675,0.0016341152,0.026975293,0.00026915243,0.00013825823,0.00010675843,0.00030981356,0.000032303426,0.0036668254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983224,0.00095823535,0.00010074733,0.00024252347,0.00022039033,0.00015562115],"domain_scores_gemma":[0.9454407,0.04934372,0.0019298237,0.0011168643,0.0015754061,0.0005934117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011435474,0.0010026863,0.0025439796,0.0021701863,0.0007149503,0.0037630138,0.0012885156,0.0031904473,0.0048808875],"category_scores_gemma":[0.06415799,0.0007885292,0.0010755515,0.0014326321,0.002122233,0.0052279416,0.0017589286,0.0017345812,0.0003077513],"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":[0.0005349518,0.00022847432,0.00754986,0.0001644448,0.00020739633,0.00009501782,0.00015376754,0.81067616,0.0003435469,0.12475345,0.0013275896,0.053965278],"study_design_scores_gemma":[0.00008991664,0.000088904344,0.0018834076,0.00007569704,0.00008581903,0.00003019653,0.00005143387,0.8653982,0.00017495448,0.13168818,0.00040062948,0.000032605614],"about_ca_topic_score_codex":0.007310346,"about_ca_topic_score_gemma":0.0057743797,"teacher_disagreement_score":0.011435474,"about_ca_system_score_codex":0.0017697958,"about_ca_system_score_gemma":0.0019839231,"threshold_uncertainty_score":0.060477316},"labels":[],"label_agreement":null},{"id":"W2283256239","doi":"","title":"ECONOMIC CRISIS IN GREECE. EUROPEAN AND DOMESTIC MARKET AND POLICY FAILURES","year":2014,"lang":"en","type":"article","venue":"Region et Developpement","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":18,"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":"Unemployment; Quarter (Canadian coin); Economic policy; European economy; Economy; Economics; Politics; Financial crisis; European union; Political science; Geography; Economic growth; Macroeconomics","score_opus":0.023149729007816623,"score_gpt":0.23475927057200222,"score_spread":0.2116095415641856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2283256239","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":[0.6374634,0.032975405,0.00043023293,0.06941236,0.00077760447,0.000034012115,0.0009494421,0.00008998902,0.25786746],"genre_scores_gemma":[0.9792413,0.009059489,0.00010337502,0.002589579,0.00015957744,0.000014985561,0.00030836576,0.000029416118,0.008493976],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999524,0.00015296717,0.000047355847,0.00006135741,0.000078155936,0.00013616306],"domain_scores_gemma":[0.9996131,0.000048991384,0.0001593921,0.000026711092,0.000051899755,0.00009984039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000842919,0.0002533737,0.00030334076,0.0011330172,0.0008298509,0.0035236145,0.00032260624,0.0019433693,0.0036378703],"category_scores_gemma":[0.0019122934,0.000153633,0.00018568002,0.0021827018,0.0020220648,0.0027047792,0.0022099665,0.0014211851,0.0004884283],"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":[0.0008024457,0.00035137055,0.09623632,0.0015680168,0.00018236818,0.020322472,0.039157372,0.010044076,0.0023945412,0.49024165,0.12181048,0.21688895],"study_design_scores_gemma":[0.00009192683,0.00019616928,0.29925698,0.0015570234,0.000039687628,0.005921377,0.047886048,0.0027135024,0.00089252467,0.08563935,0.5556896,0.000115774106],"about_ca_topic_score_codex":0.0103292735,"about_ca_topic_score_gemma":0.005874708,"teacher_disagreement_score":0.0103292735,"about_ca_system_score_codex":0.0027482077,"about_ca_system_score_gemma":0.001962498,"threshold_uncertainty_score":0.02053833},"labels":[],"label_agreement":null},{"id":"W2283435309","doi":"10.2139/ssrn.701541","title":"Creative Destruction and Firm-Specific Volatility","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"University of Alberta","funders":"","keywords":"Volatility (finance); Monetary economics; Business; Financial economics; Economics","score_opus":0.016251068453162185,"score_gpt":0.2019552357480892,"score_spread":0.18570416729492703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2283435309","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":[0.9942128,0.0006542825,0.001829653,0.00040679725,0.000017040858,0.000006804753,0.00012043783,0.000034712168,0.0027174652],"genre_scores_gemma":[0.9993032,0.000096616364,0.000040680286,0.0000125507595,0.000021732392,0.0000014188785,0.000054927317,0.0000031483517,0.00046561097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994312,0.000121678946,0.00006395717,0.00010477893,0.00009503897,0.00018326285],"domain_scores_gemma":[0.9685901,0.02068414,0.0065959934,0.0016355395,0.0006542089,0.0018399679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023336157,0.00021499164,0.00054535404,0.0010794876,0.00038117688,0.0042093974,0.0006008481,0.0016551511,0.0045970134],"category_scores_gemma":[0.01962487,0.0002770033,0.0005742607,0.0012439775,0.0010947625,0.0020664465,0.001216428,0.0015082591,0.00047390332],"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":[0.0015144019,0.00042389453,0.8669154,0.0000972147,0.00059619296,0.0013447056,0.00072508777,0.043705575,0.0035509828,0.05169247,0.0018342396,0.027599858],"study_design_scores_gemma":[0.00010573037,0.00021920569,0.79419374,0.000037749905,0.00024094996,0.0010841792,0.00094879186,0.085923314,0.0018699468,0.11369455,0.0015906731,0.00009111016],"about_ca_topic_score_codex":0.0013484778,"about_ca_topic_score_gemma":0.0016079266,"teacher_disagreement_score":0.0045970134,"about_ca_system_score_codex":0.00071936334,"about_ca_system_score_gemma":0.00029627554,"threshold_uncertainty_score":0.015378535},"labels":[],"label_agreement":null},{"id":"W2284204614","doi":"","title":"Harvests' Lifespan and North-South Market Share Rivalry","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Rivalry; Competition (biology); Product (mathematics); Market share; Business; Technology transfer; Market competition; Economics; Marketing; International trade; Market economy; Ecology; Biology","score_opus":0.047571242993882955,"score_gpt":0.26215014073042336,"score_spread":0.2145788977365404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2284204614","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":[0.94850355,0.00030566947,0.0063387947,0.00057288137,0.000015468011,0.00002933804,0.00018079687,0.000018691822,0.044034682],"genre_scores_gemma":[0.9981117,0.000056094534,0.0002508752,0.000018939501,0.000004551865,0.0000053128306,0.000018031791,0.0000027283663,0.0015318379],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997533,0.00006043948,0.000007955155,0.000054091077,0.000028772685,0.000095458265],"domain_scores_gemma":[0.9977769,0.000956412,0.0006070078,0.00011354862,0.0001259159,0.00042015378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008037707,0.0002687766,0.0005259519,0.00040918228,0.00079912884,0.0022726506,0.000629809,0.0009184639,0.012585162],"category_scores_gemma":[0.0029686096,0.00020561219,0.0006008135,0.00031760838,0.0012831631,0.002079935,0.0013143735,0.0009978147,0.00043049164],"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":[0.002300594,0.0007023227,0.08562327,0.00043168073,0.00030557357,0.003593148,0.0020199222,0.24625054,0.021589354,0.5953279,0.006792153,0.03506351],"study_design_scores_gemma":[0.00053760625,0.0014057049,0.11193014,0.00017626822,0.00032029304,0.001774686,0.006385185,0.44987303,0.0043043066,0.40616322,0.016880851,0.00024866793],"about_ca_topic_score_codex":0.004407403,"about_ca_topic_score_gemma":0.0049928357,"teacher_disagreement_score":0.012585162,"about_ca_system_score_codex":0.0012669283,"about_ca_system_score_gemma":0.0005468602,"threshold_uncertainty_score":0.042101562},"labels":[],"label_agreement":null},{"id":"W2287191940","doi":"","title":"Reconciling Gross Output TFP Growth with Value Added TFP Growth","year":2015,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Total factor productivity; Economics; Gross output; Econometrics; Productivity; Value (mathematics); Index (typography); Aggregate (composite); Production (economics); Mathematics; Macroeconomics; Statistics; Computer science","score_opus":0.07300892485850385,"score_gpt":0.27171586954091675,"score_spread":0.1987069446824129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2287191940","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":[0.09014193,0.0026140066,0.8652024,0.002527643,0.00065403816,0.000060663977,0.0010843745,0.0006096123,0.037105244],"genre_scores_gemma":[0.86565113,0.0033724946,0.118965454,0.00038149243,0.0004813327,0.00010757994,0.0010285533,0.00043182817,0.009580198],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99871886,0.00030645862,0.00006967952,0.00030129627,0.00049618207,0.0001074801],"domain_scores_gemma":[0.99731016,0.0014446782,0.0003922603,0.00038545788,0.000426338,0.000041192587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002377713,0.0009321132,0.00065000786,0.002285484,0.0003899037,0.0019642399,0.0007777113,0.00079566316,0.0019869476],"category_scores_gemma":[0.015616972,0.00026366557,0.0006745671,0.0033307436,0.0012317625,0.0037210651,0.0015757235,0.0013545648,0.0006078789],"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":[0.00010227456,0.000043439708,0.017654998,0.0004471212,0.00016137655,0.00056938623,0.0008976755,0.12940603,0.004187069,0.59027946,0.0065822825,0.24966887],"study_design_scores_gemma":[0.000016300015,0.00006688419,0.018218026,0.0001969773,0.0000499253,0.00033526495,0.000400768,0.1872729,0.008356404,0.75743926,0.027564066,0.00008319413],"about_ca_topic_score_codex":0.005369295,"about_ca_topic_score_gemma":0.004851951,"teacher_disagreement_score":0.005369295,"about_ca_system_score_codex":0.0017384108,"about_ca_system_score_gemma":0.0012757819,"threshold_uncertainty_score":0.012613118},"labels":[],"label_agreement":null},{"id":"W2288942223","doi":"","title":"Geographical Concentration of Soviet Industries: A Comparative Analysis","year":2015,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"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":"Spillover effect; Externality; Economic geography; Dispersion (optics); Manufacturing; Population; Manufacturing sector; Economies of agglomeration; Business; International trade; Economics; International economics; Economic growth; Macroeconomics; Demography; Microeconomics","score_opus":0.10558435685629335,"score_gpt":0.259835848143467,"score_spread":0.15425149128717364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288942223","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":[0.98705935,0.0012874709,0.00053320994,0.000075488344,0.0000039536926,0.0000051023276,0.0007929477,0.000010986428,0.010231477],"genre_scores_gemma":[0.99798906,0.00048930594,0.0002006311,0.0000065832783,0.0000061244978,0.000003982616,0.00087460404,0.0000026811658,0.00042706603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99955803,0.00009147326,0.00003313672,0.000102014565,0.000104240135,0.00011104921],"domain_scores_gemma":[0.99911493,0.00021946644,0.0003038305,0.000055244433,0.00023145197,0.00007505966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048732376,0.000095296986,0.00032298814,0.0064340956,0.00055788754,0.0011329941,0.00027437566,0.0001840771,0.0026985838],"category_scores_gemma":[0.0015263306,0.00012180514,0.00034673425,0.007901892,0.0006351207,0.0005769966,0.001010506,0.00017666224,0.00025779102],"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":[0.00008877038,0.000023579778,0.945799,0.0000972173,0.00019133267,0.00030676482,0.0026308433,0.0038935293,0.0004354271,0.015401674,0.0009636647,0.030168278],"study_design_scores_gemma":[0.0000037790405,0.00003963244,0.99097323,0.000040217263,0.000039963816,0.00012586397,0.0020000318,0.0009687847,0.00014925734,0.0005718452,0.0050808345,0.000006610176],"about_ca_topic_score_codex":0.035990063,"about_ca_topic_score_gemma":0.033785824,"teacher_disagreement_score":0.035990063,"about_ca_system_score_codex":0.0013075891,"about_ca_system_score_gemma":0.000625066,"threshold_uncertainty_score":0.07156116},"labels":[],"label_agreement":null},{"id":"W2291752917","doi":"","title":"Factor substitution, factor-augmenting technical progress, and trending factor shares: the Canadian evidence","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Technical change; Elasticity of substitution; Economics; Factor shares; Econometrics; Substitution (logic); Total factor productivity; Unitary state; Elasticity (physics); Technical progress; Capital (architecture); Productivity; Macroeconomics; Production (economics); Computer science","score_opus":0.10170291759485456,"score_gpt":0.3147597624554898,"score_spread":0.21305684486063525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291752917","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":[0.71729314,0.05749623,0.019263115,0.01511745,0.00024292868,0.00008492401,0.028252227,0.00052504183,0.16172487],"genre_scores_gemma":[0.96501887,0.017692946,0.0025584842,0.0003026212,0.00008187711,0.000009764605,0.004401513,0.000089633126,0.0098442035],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853253,0.000109158646,0.00008432898,0.00033201446,0.00067655474,0.00026538773],"domain_scores_gemma":[0.9898291,0.002671328,0.0014530844,0.0013469822,0.004198024,0.0005014056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00200324,0.0008304252,0.0007486794,0.0036598935,0.0016443181,0.0026809464,0.0011300294,0.0004932128,0.008205897],"category_scores_gemma":[0.010911963,0.00029354854,0.001231868,0.011006083,0.0022524775,0.0022167007,0.00096753344,0.0010400207,0.00087588985],"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":[0.0006971937,0.00007896142,0.46482202,0.0011950874,0.00080995716,0.00064278283,0.0028566066,0.027581515,0.0012180646,0.22544147,0.02894727,0.24570909],"study_design_scores_gemma":[0.00008737021,0.000079281104,0.7417264,0.00057644764,0.0011271464,0.00049864745,0.0035050688,0.03064861,0.0035966071,0.06370895,0.15422064,0.00022480002],"about_ca_topic_score_codex":0.97088754,"about_ca_topic_score_gemma":0.94777644,"teacher_disagreement_score":0.029112458,"about_ca_system_score_codex":0.01202414,"about_ca_system_score_gemma":0.016784938,"threshold_uncertainty_score":0.08724159},"labels":[],"label_agreement":null},{"id":"W2292564157","doi":"","title":"An Efficiency Frontier Model: An Analysis of the Macroeconomic Implications of Structural Shocks","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Futures studies; Economics; Shock (circulatory); Frontier; Malleability; Econometrics; Simple (philosophy); Technical change; Technological change; Microeconomics; Computer science; Macroeconomics; Productivity","score_opus":0.013952352169241884,"score_gpt":0.23566847843227504,"score_spread":0.22171612626303316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2292564157","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":[0.09212725,0.000569971,0.8743542,0.0019196718,0.000078021,0.00008579676,0.00046465383,0.00019226775,0.030208198],"genre_scores_gemma":[0.9479771,0.0009910417,0.03422159,0.00015611204,0.00008409912,0.0001659536,0.00020409645,0.00006412143,0.016135901],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971014,0.00012329026,0.000011847368,0.000042800042,0.000055130724,0.00005677275],"domain_scores_gemma":[0.9991968,0.0004790754,0.00012293727,0.0000757183,0.00006233177,0.00006317222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012120457,0.00052427815,0.0006757971,0.0005965829,0.0004107146,0.0014778938,0.0010385053,0.0014940398,0.006143747],"category_scores_gemma":[0.0036202818,0.00027592183,0.0006669324,0.0007701497,0.0008535868,0.0018529765,0.0011779582,0.0013211702,0.0004988527],"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":[0.000033867418,0.000028578552,0.0004080905,0.0000396387,0.000028551418,0.00012480194,0.00009338752,0.61015576,0.00087673205,0.3815096,0.0010583155,0.0056427377],"study_design_scores_gemma":[0.000028152206,0.000044964796,0.00054828246,0.000011606686,0.0000155016,0.000037797556,0.000047459012,0.8086598,0.00019711026,0.18793458,0.0024584108,0.000016368582],"about_ca_topic_score_codex":0.0022794856,"about_ca_topic_score_gemma":0.0010114253,"teacher_disagreement_score":0.006143747,"about_ca_system_score_codex":0.0007817716,"about_ca_system_score_gemma":0.00082816003,"threshold_uncertainty_score":0.020552874},"labels":[],"label_agreement":null},{"id":"W2296111376","doi":"","title":"A Review of Some Postwar Economic Growth Theories and Empirics","year":2015,"lang":"en","type":"review","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Economic Growth and Productivity","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":"Romer; Economics; Endogenous growth theory; Convergence (economics); Growth theory; Empirical evidence; Growth model; Keynesian economics; Neoclassical economics; Macroeconomics; Human capital; Economic growth","score_opus":0.05034782028728042,"score_gpt":0.24826117900560882,"score_spread":0.19791335871832838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296111376","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015554773,0.9392031,0.0067160963,0.013097014,0.0022320284,0.000013538387,0.00028789864,0.000048020687,0.036846895],"genre_scores_gemma":[0.013216721,0.97136384,0.0027132076,0.0023065882,0.0037766711,0.000029493665,0.0002351421,0.000031324784,0.0063269297],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99914646,0.0002713274,0.00008743762,0.00015357419,0.00027751364,0.000063712585],"domain_scores_gemma":[0.9965983,0.002491241,0.00020296156,0.00016256585,0.0004755424,0.00006945708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019707482,0.0014560207,0.0010998726,0.0073735067,0.0013069118,0.0042105806,0.0015589991,0.0014954018,0.0053192396],"category_scores_gemma":[0.0040523917,0.0005943292,0.00066345546,0.013280729,0.0037130534,0.005390552,0.0015159833,0.003443223,0.002937572],"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":[0.00004451139,0.00010949129,0.0015738741,0.0047434443,0.00008243338,0.00031281007,0.0006639576,0.0038430768,0.00025529304,0.60015684,0.09315394,0.29506034],"study_design_scores_gemma":[0.0000046808564,0.00002501985,0.0018323333,0.0030787757,0.000023230456,0.0002161915,0.00030357446,0.001053017,0.00018055417,0.22420968,0.76904035,0.00003266467],"about_ca_topic_score_codex":0.004621748,"about_ca_topic_score_gemma":0.0041157417,"teacher_disagreement_score":0.0073735067,"about_ca_system_score_codex":0.003481897,"about_ca_system_score_gemma":0.0021442417,"threshold_uncertainty_score":0.025263011},"labels":[],"label_agreement":null},{"id":"W2302141278","doi":"","title":"Additional Empirical Evidence on Real Convergence: A Fractionally","year":2003,"lang":"en","type":"article","venue":"Dialnet (Universidad de la Rioja)","topic":"Economic Growth and Productivity","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":"Convergence (economics); Economics; Econometrics; Per capita; Order (exchange); Macroeconomics; Demography; Population; Sociology","score_opus":0.045767963157517313,"score_gpt":0.2576872677027231,"score_spread":0.2119193045452058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2302141278","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":[0.9513426,0.0023209408,0.009586443,0.0014752276,0.00005145182,0.000014234558,0.0004971423,0.00007853311,0.034633346],"genre_scores_gemma":[0.997214,0.00043308278,0.0007100322,0.00012640272,0.000040885938,0.0000074098966,0.00044929067,0.000022916,0.0009960063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99833256,0.0006586368,0.00014225679,0.00029723262,0.00033420388,0.00023514111],"domain_scores_gemma":[0.9707682,0.016137045,0.0054572024,0.004679198,0.002444783,0.0005135213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004701955,0.0002895352,0.0005569264,0.0029431626,0.0006383066,0.0018897842,0.00038366122,0.0004594883,0.008927233],"category_scores_gemma":[0.034416307,0.00010775858,0.0006996775,0.0027594077,0.00195726,0.0021266008,0.0018222817,0.0007851618,0.0010125132],"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":[0.001068615,0.00024098644,0.6554613,0.0005380266,0.0005442457,0.0017733498,0.005608465,0.015580109,0.0025843654,0.1459349,0.0036443712,0.16702136],"study_design_scores_gemma":[0.000119923294,0.00030880055,0.8094076,0.0004749033,0.00026757858,0.0016755302,0.0067236726,0.017667366,0.0032042784,0.12208039,0.037994366,0.00007566981],"about_ca_topic_score_codex":0.0030502828,"about_ca_topic_score_gemma":0.001717715,"teacher_disagreement_score":0.008927233,"about_ca_system_score_codex":0.0005426917,"about_ca_system_score_gemma":0.00051648734,"threshold_uncertainty_score":0.02986455},"labels":[],"label_agreement":null},{"id":"W2306422511","doi":"10.1111/caje.12372","title":"Sources of Canadian economic growth","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Economics; Endogenous growth theory; Growth rate; Human capital; Percentage point; Growth accounting; Annual growth %; Growth theory; Steady state (chemistry); Econometrics; Macroeconomics; Mathematics; Keynesian economics; Agricultural economics; Total factor productivity; Economic growth; Chemistry; Productivity","score_opus":0.09432737526759487,"score_gpt":0.15705226373267991,"score_spread":0.06272488846508505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2306422511","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":[0.32442474,0.013394691,0.0043570157,0.018538784,0.00076108845,0.00018502178,0.15326779,0.0011114633,0.4839594],"genre_scores_gemma":[0.9139561,0.009623329,0.0029055171,0.0005040206,0.00013466389,0.000062164436,0.033925924,0.00020320709,0.038685016],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9976247,0.00006217562,0.00006607076,0.00017294065,0.0015445838,0.0005294886],"domain_scores_gemma":[0.99237835,0.00038615393,0.00054026156,0.00022542146,0.005892656,0.0005771482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013142169,0.0006292222,0.00044838656,0.015073958,0.0032760098,0.004689566,0.00084989535,0.00033847793,0.0076682186],"category_scores_gemma":[0.009037047,0.00029190612,0.00072023616,0.017519642,0.00083453703,0.00078193215,0.0019470591,0.001119044,0.0007039389],"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":[0.00040036818,0.00004920634,0.26862124,0.00087192585,0.00038227928,0.0009299593,0.0050525875,0.008300522,0.0011918786,0.23002641,0.21507688,0.2690968],"study_design_scores_gemma":[0.000031139753,0.000021940665,0.48636085,0.00042136203,0.0001523411,0.0003795813,0.0021791318,0.00554478,0.0016538869,0.0067465547,0.49633226,0.00017604494],"about_ca_topic_score_codex":0.9886953,"about_ca_topic_score_gemma":0.9842366,"teacher_disagreement_score":0.08224894,"about_ca_system_score_codex":0.08224894,"about_ca_system_score_gemma":0.0850015,"threshold_uncertainty_score":0.59676063},"labels":[],"label_agreement":null},{"id":"W2311462729","doi":"","title":"Croissance de la productivite au Canada","year":2002,"lang":"fr","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"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":"Political science; Humanities; Philosophy","score_opus":0.019593198054809625,"score_gpt":0.18271379668871934,"score_spread":0.1631205986339097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2311462729","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":[0.11056795,0.14670019,0.00965802,0.07388073,0.0032951261,0.00013591164,0.031456113,0.00060484436,0.62370104],"genre_scores_gemma":[0.65977216,0.130347,0.009794005,0.0063545518,0.0009452551,0.000081688966,0.009409565,0.0004945863,0.18280119],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9948625,0.0002899999,0.00012576957,0.0004970741,0.003652253,0.0005723988],"domain_scores_gemma":[0.9802663,0.0013840187,0.00080371584,0.00048310935,0.016171785,0.00089100946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028929722,0.00040412013,0.00046100013,0.00729632,0.0025879373,0.0069310884,0.0007887584,0.0007067497,0.01562465],"category_scores_gemma":[0.009990076,0.00032060102,0.0005092417,0.015938625,0.002557757,0.001708418,0.0010531268,0.0022071009,0.0013070811],"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":[0.0002880703,0.000041983207,0.034833346,0.0012200858,0.00019163941,0.00035933044,0.005566966,0.0019043814,0.002705926,0.33603287,0.17790145,0.43895394],"study_design_scores_gemma":[0.000009740074,0.0000247151,0.08443573,0.00076467934,0.000041040224,0.00013083855,0.0016312809,0.0004876835,0.0012975018,0.005252936,0.9058577,0.00006619007],"about_ca_topic_score_codex":0.97292525,"about_ca_topic_score_gemma":0.95755416,"teacher_disagreement_score":0.054445535,"about_ca_system_score_codex":0.054445535,"about_ca_system_score_gemma":0.08193591,"threshold_uncertainty_score":0.39503187},"labels":[],"label_agreement":null},{"id":"W2324004171","doi":"10.2457/srs.42.473","title":"Regional Income Disparity and Population Movement: Case Study of Jiangsu Province in China","year":2012,"lang":"en","type":"article","venue":"Studies in Regional Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Microsemi (Canada)","funders":"","keywords":"Population; Distribution (mathematics); Convergence (economics); China; Geography; Population growth; Economics; Floating population; Demographic economics; Demography; Economic growth; Mathematics","score_opus":0.08501885958100394,"score_gpt":0.3039517419021869,"score_spread":0.21893288232118294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2324004171","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":[0.99630547,0.00011826229,0.00038457723,0.00027185582,0.0000041017533,0.000023344548,0.000098088516,0.0000075367293,0.0027866256],"genre_scores_gemma":[0.99833053,0.0001353148,0.00048643045,0.000020801148,0.0000041422363,0.0000137017805,0.00009803167,0.0000018438348,0.0009091969],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995621,0.00018433896,0.0000126880705,0.000032120708,0.00006250042,0.00014629662],"domain_scores_gemma":[0.9995016,0.00016771576,0.00008902967,0.00002901899,0.00011123754,0.00010135077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007533503,0.00022711956,0.00020013862,0.0012992851,0.001566527,0.00054699497,0.00089036627,0.00051550416,0.0015236869],"category_scores_gemma":[0.0014333199,0.0001236912,0.00029045783,0.0031615142,0.00076136354,0.00055000425,0.000953748,0.00040962113,0.000078639285],"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":[0.00028010353,0.0006336029,0.8158373,0.00019839303,0.000115380564,0.02724813,0.016362702,0.045127045,0.0010070858,0.024311697,0.006605988,0.062272497],"study_design_scores_gemma":[0.00009311788,0.0003332295,0.8044914,0.00007677204,0.000096390555,0.0022753424,0.058998168,0.111662194,0.00065357785,0.005634588,0.01561128,0.00007395124],"about_ca_topic_score_codex":0.3540663,"about_ca_topic_score_gemma":0.39965317,"teacher_disagreement_score":0.3540663,"about_ca_system_score_codex":0.0046017985,"about_ca_system_score_gemma":0.0024817677,"threshold_uncertainty_score":0.70401084},"labels":[],"label_agreement":null},{"id":"W2329851467","doi":"","title":"R&D Spending and M&E Investment in Canadian Manufacturing Industries","year":2009,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Investment (military); Business; Economics; Political science; Politics","score_opus":0.037003937219548116,"score_gpt":0.20224928046800406,"score_spread":0.16524534324845594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329851467","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":[0.96429384,0.0052199266,0.00016603032,0.006289805,0.00005105661,0.000019222118,0.009675145,0.000054281314,0.014230659],"genre_scores_gemma":[0.98694557,0.0021599086,0.00009516939,0.00022740597,0.000030113684,0.000005808427,0.0026380462,0.000010465154,0.007887548],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991441,0.000050201936,0.000040551997,0.00007390109,0.00021358063,0.00047778676],"domain_scores_gemma":[0.9942972,0.0010318845,0.0011218446,0.00012630252,0.002037611,0.0013850806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009452894,0.0003755338,0.0004423694,0.0032618681,0.0018224457,0.0026182176,0.0010467726,0.0011702775,0.0073873186],"category_scores_gemma":[0.00599369,0.00035061338,0.0009686056,0.0063945623,0.0008645621,0.0009316577,0.00091004436,0.0014841711,0.0005736311],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003861606,0.00011064604,0.9499325,0.00010848215,0.00016753994,0.0003034665,0.00080605835,0.0077658207,0.00029502573,0.008661074,0.0145927835,0.016870437],"study_design_scores_gemma":[0.00002034067,0.000016797232,0.9867192,0.00007230159,0.00011836541,0.000054206936,0.0013999958,0.003641868,0.00020346967,0.0006710165,0.007055436,0.000026990938],"about_ca_topic_score_codex":0.99679726,"about_ca_topic_score_gemma":0.99792624,"teacher_disagreement_score":0.9362761,"about_ca_system_score_codex":0.06372393,"about_ca_system_score_gemma":0.047845732,"threshold_uncertainty_score":0.46235162},"labels":[],"label_agreement":null},{"id":"W2332032431","doi":"10.2514/6.2008-7792","title":"What Drives Innovation in Communication Satellites? Lessons from History","year":2008,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Communications satellite; Systems engineering; Telecommunications; Engineering; Satellite; Aerospace engineering","score_opus":0.10043114857511891,"score_gpt":0.2381382438840043,"score_spread":0.13770709530888542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2332032431","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":[0.45046306,0.07063747,0.020347165,0.06070815,0.00047940557,0.000081259364,0.0010300193,0.00010991058,0.3961436],"genre_scores_gemma":[0.97987205,0.011765411,0.0012157555,0.0008891579,0.00024965554,0.000020339317,0.000118659285,0.000033141918,0.0058358577],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9991523,0.0002741809,0.000055587643,0.00021760684,0.00014714315,0.00015313986],"domain_scores_gemma":[0.99412423,0.0038031319,0.0005608614,0.00037069686,0.0006715878,0.0004694074],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0021570597,0.00024360651,0.0005059502,0.003113522,0.0011201062,0.0038235118,0.0007649062,0.0013459597,0.008291159],"category_scores_gemma":[0.010954901,0.00024411129,0.00037364246,0.003775381,0.005589098,0.0070302496,0.0012992376,0.0014730036,0.00054521085],"study_design_candidate":"qualitative","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":[0.00013714444,0.000090877875,0.07267423,0.00089318136,0.00012031581,0.00069636834,0.004377756,0.011749272,0.00050522096,0.7675168,0.005203054,0.1360358],"study_design_scores_gemma":[0.00002606249,0.00012924446,0.10915042,0.00096982735,0.00006656623,0.00073241675,0.0058172247,0.007997818,0.0007813768,0.7323879,0.14184438,0.00009674574],"about_ca_topic_score_codex":0.011064383,"about_ca_topic_score_gemma":0.0108916685,"teacher_disagreement_score":0.9988799,"about_ca_system_score_codex":0.0049372427,"about_ca_system_score_gemma":0.0013961908,"threshold_uncertainty_score":0.03582239},"labels":[],"label_agreement":null},{"id":"W2332423327","doi":"10.2514/6.2007-6017","title":"Are Spacecraft Cheaper or More Expensive Now, and Why? Spacecraft Innovation Trends","year":2007,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spacecraft; Aerospace engineering; Computer science; Astrobiology; Engineering; Physics","score_opus":0.052594159966488876,"score_gpt":0.2572092903331892,"score_spread":0.20461513036670032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2332423327","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":[0.7873537,0.06283244,0.03159189,0.042615086,0.0011338772,0.000036948048,0.0018122555,0.00011601593,0.07250765],"genre_scores_gemma":[0.972376,0.015506057,0.003445628,0.0009966342,0.00068361533,0.00001760744,0.0003499498,0.000026814392,0.006597696],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993229,0.00015057222,0.00003413172,0.00014435963,0.0002433915,0.00010460355],"domain_scores_gemma":[0.9964485,0.0015647841,0.0010647206,0.0001407943,0.0006693893,0.000111851245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012525652,0.00019849208,0.00039984306,0.0014601641,0.00044414616,0.0030025255,0.0004810193,0.0010246548,0.004980095],"category_scores_gemma":[0.008150653,0.00011860088,0.0002724098,0.0039107334,0.001636578,0.004718266,0.00042219527,0.00112984,0.00057569053],"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":[0.0003465127,0.000065141874,0.11112965,0.00082029414,0.00013826882,0.00030465593,0.0010194088,0.012877,0.003111519,0.56204575,0.01960272,0.28853908],"study_design_scores_gemma":[0.000033447912,0.00041250995,0.35190627,0.0010551566,0.00014965517,0.0010978822,0.0064691184,0.031062204,0.005825134,0.3777714,0.2240553,0.00016200976],"about_ca_topic_score_codex":0.003880313,"about_ca_topic_score_gemma":0.0026581732,"teacher_disagreement_score":0.004980095,"about_ca_system_score_codex":0.0023002601,"about_ca_system_score_gemma":0.0004975539,"threshold_uncertainty_score":0.016689658},"labels":[],"label_agreement":null},{"id":"W2332498361","doi":"","title":"Industrial Structural Change and the Post-2000 Output and Productivity Growth Slowdown: A Canada-U.S. Comparison","year":2011,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Slowdown; Economics; Productivity; Multifactor productivity; Order (exchange); Real gross domestic product; Macroeconomics; Labour economics; Monetary economics; Total factor productivity; Economic growth","score_opus":0.08903472304916002,"score_gpt":0.2235320523092321,"score_spread":0.13449732926007207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2332498361","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":[0.96293616,0.0027773024,0.0002671141,0.0026814027,0.000031533295,0.000022795628,0.005963226,0.00004456298,0.025275862],"genre_scores_gemma":[0.9897488,0.0019790789,0.00018731595,0.00014936407,0.000015847654,0.0000050255476,0.0039345045,0.000010690059,0.003969436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994337,0.000015711266,0.000014783148,0.00004527402,0.00021381008,0.00027664227],"domain_scores_gemma":[0.9981658,0.00010554641,0.00023396204,0.000037331818,0.0011781702,0.000279352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054600445,0.00031402873,0.0002545388,0.003251479,0.0013017816,0.0019642042,0.00059504516,0.0004185969,0.0030418786],"category_scores_gemma":[0.002314536,0.00014201077,0.0004646489,0.008700705,0.0007914949,0.00051363447,0.00089875725,0.00073148037,0.00024778792],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004447778,0.00011837276,0.8919564,0.00016633038,0.00019690944,0.0006428727,0.0025535193,0.0051406696,0.0013008903,0.014020658,0.0108292205,0.07262949],"study_design_scores_gemma":[0.0000059969893,0.000014303155,0.9920637,0.000022223308,0.000023561595,0.000036471723,0.00088759605,0.000688446,0.00023740495,0.00014979154,0.005862088,0.000008444948],"about_ca_topic_score_codex":0.9904991,"about_ca_topic_score_gemma":0.99520457,"teacher_disagreement_score":0.964548,"about_ca_system_score_codex":0.03545201,"about_ca_system_score_gemma":0.033389047,"threshold_uncertainty_score":0.25722355},"labels":[],"label_agreement":null},{"id":"W2336292459","doi":"","title":"Although Australia performed better than Canada in terms of productivity growth for the overall economy, the standards of living for both countries grew at the same pace; sources of productivity growth reveal key differences between the two countries Comparisons of economic performance: Canada versus Australia, 1983-2000","year":2005,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Productivity; Pace; Multifactor productivity; Economics; Standard of living; Development economics; Agricultural economics; Economic growth; Geography; Total factor productivity; Market economy","score_opus":0.03796251265293344,"score_gpt":0.2525462402743827,"score_spread":0.21458372762144928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2336292459","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":[0.9181712,0.0029010437,0.0005783158,0.0029763256,0.00008737152,0.000045749875,0.004247874,0.00009245934,0.0708996],"genre_scores_gemma":[0.97689724,0.0014638392,0.0006207454,0.0002012634,0.000014811636,0.000013400815,0.0014757297,0.000019315657,0.019293733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899894,0.000071662966,0.00004917776,0.000070204595,0.00045440873,0.00035556132],"domain_scores_gemma":[0.9967662,0.00018851292,0.0004014562,0.00006985683,0.002046914,0.0005270926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091041037,0.0003200312,0.00043142255,0.0020311147,0.0019454539,0.0017880141,0.00032852477,0.00038380624,0.002533065],"category_scores_gemma":[0.003722515,0.00011388996,0.0003385817,0.0063319183,0.00045089866,0.00078896777,0.00089530466,0.0005358035,0.00036512365],"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":[0.0008314666,0.00013438502,0.7598862,0.0006529138,0.00050907984,0.0005702682,0.005532701,0.0051144282,0.0038419592,0.016359841,0.021072056,0.18549472],"study_design_scores_gemma":[0.0000073380247,0.00004462223,0.9796098,0.0000629602,0.00004186569,0.000057678964,0.0017194217,0.00042883752,0.00066286896,0.00020610806,0.017141555,0.000016908622],"about_ca_topic_score_codex":0.95944476,"about_ca_topic_score_gemma":0.9864634,"teacher_disagreement_score":0.04055524,"about_ca_system_score_codex":0.013165841,"about_ca_system_score_gemma":0.021952216,"threshold_uncertainty_score":0.095525324},"labels":[],"label_agreement":null},{"id":"W2336795569","doi":"10.15353/rea.v8i1.1429","title":"Has Growth and Convergence of Developing Economies Been Derailed?","year":2016,"lang":"en","type":"article","venue":"Review of Economic Analysis","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Economics; Economic history; History; Economic geography; Political science; Economy; Macroeconomics","score_opus":0.04133677268927035,"score_gpt":0.23836810619872728,"score_spread":0.19703133350945692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2336795569","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19308998,0.3412674,0.002363728,0.37756062,0.0031335754,0.000019486672,0.000883055,0.00010364687,0.08157846],"genre_scores_gemma":[0.8058088,0.17728987,0.0007122133,0.00835264,0.0037906813,0.000027655065,0.00027585722,0.00004597914,0.003696336],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982943,0.0007029193,0.000106004685,0.0002649388,0.00023811145,0.0003936396],"domain_scores_gemma":[0.99484384,0.0020624928,0.0012008869,0.00036696266,0.0010300972,0.00049564627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003764403,0.00030976234,0.0006331477,0.0017991627,0.0009967976,0.0063365377,0.00062904536,0.002136394,0.0048506386],"category_scores_gemma":[0.01623546,0.00019253256,0.00030953978,0.004829548,0.004881615,0.010654974,0.00340668,0.0024357603,0.0009846166],"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":[0.000584019,0.00006091435,0.041113056,0.00196336,0.00016015755,0.0009867579,0.0074032727,0.0022176155,0.00053791475,0.5374987,0.037931733,0.3695425],"study_design_scores_gemma":[0.000058658236,0.0001394584,0.12461189,0.0037970482,0.00010804438,0.0012016306,0.02057551,0.0016205892,0.0009822034,0.3904683,0.45634973,0.00008697007],"about_ca_topic_score_codex":0.0061395844,"about_ca_topic_score_gemma":0.0030538552,"teacher_disagreement_score":0.0063365377,"about_ca_system_score_codex":0.002532313,"about_ca_system_score_gemma":0.002534763,"threshold_uncertainty_score":0.019908309},"labels":[],"label_agreement":null},{"id":"W2338268181","doi":"10.1111/rode.12250","title":"Technology Transfer, Welfare, and Wage Inequality","year":2016,"lang":"en","type":"article","venue":"Review of Development Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Economics; Wage inequality; Factor price; Wage; Welfare; Technology transfer; Labour economics; Inequality; Technological change; Product (mathematics); Macroeconomics; Microeconomics; Market economy; International trade","score_opus":0.02825569050321291,"score_gpt":0.21672303650240413,"score_spread":0.1884673459991912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338268181","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":[0.86026984,0.005659095,0.06341672,0.0070137414,0.0001489313,0.00008635354,0.0008426206,0.000075932294,0.062486745],"genre_scores_gemma":[0.9927563,0.0018737623,0.0010391724,0.00013038088,0.000057103865,0.000041255138,0.000077118566,0.000003842434,0.004021061],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99956983,0.0002201839,0.00001276709,0.000051981566,0.000047395155,0.000097875374],"domain_scores_gemma":[0.9990466,0.0005400088,0.0002393527,0.000057783658,0.000070929666,0.00004522922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006325325,0.00043584948,0.00049863424,0.0006447816,0.00040407875,0.0014824006,0.00040179442,0.0009603446,0.0066130087],"category_scores_gemma":[0.0019737703,0.00013941602,0.00058449915,0.0010430122,0.0010283265,0.0011645467,0.0010051113,0.0008477217,0.00035787773],"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":[0.0002933872,0.00064514356,0.05143902,0.00041152444,0.00048537986,0.0009620241,0.0004690264,0.34741494,0.003203724,0.5382818,0.0061925747,0.050201517],"study_design_scores_gemma":[0.00020801037,0.00072234264,0.076668784,0.0003977343,0.0004363714,0.00044824317,0.0012221705,0.33568734,0.002064066,0.56518966,0.016863136,0.000092151095],"about_ca_topic_score_codex":0.003234527,"about_ca_topic_score_gemma":0.0015769476,"teacher_disagreement_score":0.0066130087,"about_ca_system_score_codex":0.0010563491,"about_ca_system_score_gemma":0.00054065196,"threshold_uncertainty_score":0.02212274},"labels":[],"label_agreement":null},{"id":"W2340721197","doi":"10.1080/13504851.2016.1139668","title":"Innovation, financial development and economic growth in Eurozone countries","year":2016,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":230,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"","keywords":"Cointegration; Unit root; Economics; Error correction model; Causality (physics); Econometrics","score_opus":0.013821362078116925,"score_gpt":0.16954876671505345,"score_spread":0.15572740463693652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340721197","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":[0.9931844,0.001842405,0.0010000259,0.00045480416,0.00003310622,0.0000062705058,0.0014526402,0.000034772696,0.0019915195],"genre_scores_gemma":[0.9958047,0.0011743727,0.00027447887,0.00003686287,0.00002850909,0.000009557275,0.0017163325,0.0000058727787,0.0009494266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950755,0.00022527963,0.000031814463,0.000095392665,0.00004156593,0.00009841203],"domain_scores_gemma":[0.9969066,0.0013095492,0.0012195759,0.00015681444,0.00016975957,0.00023784782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016684644,0.00060464774,0.00060608546,0.0013067332,0.00028099027,0.0023342264,0.00035020313,0.00066230854,0.002209692],"category_scores_gemma":[0.0029956345,0.00022663847,0.0008067372,0.002089482,0.0006838871,0.0008424047,0.00095514616,0.00095101487,0.00039077704],"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":[0.0006651684,0.00025352067,0.85762626,0.00013780552,0.0007535862,0.0007871558,0.0003745239,0.112918,0.00062931253,0.008480913,0.0034947991,0.013878983],"study_design_scores_gemma":[0.00012722606,0.00032838498,0.8312572,0.0002506024,0.00048456262,0.0002336043,0.0010473073,0.15156223,0.0013758509,0.00444325,0.008788536,0.00010126335],"about_ca_topic_score_codex":0.031899553,"about_ca_topic_score_gemma":0.014729798,"teacher_disagreement_score":0.031899553,"about_ca_system_score_codex":0.0009483977,"about_ca_system_score_gemma":0.0005456221,"threshold_uncertainty_score":0.06342775},"labels":[],"label_agreement":null},{"id":"W2341529694","doi":"","title":"Relations in the United States and Canada","year":2016,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Economics; Granger causality; Inflation (cosmology); Foreign direct investment; Real gross domestic product; Causality (physics); International economics; Investment (military); Monetary economics; International trade; Economy; Macroeconomics; Econometrics","score_opus":0.02051849332868233,"score_gpt":0.17375136771031877,"score_spread":0.15323287438163644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2341529694","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":[0.5965813,0.019628456,0.0007747842,0.017680723,0.00031212415,0.000113722606,0.040776554,0.00019254496,0.32393983],"genre_scores_gemma":[0.95508564,0.00948796,0.0007000324,0.001061502,0.00004116391,0.00003171746,0.0084965415,0.000035314984,0.02506007],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992269,0.00005496992,0.0000424076,0.00010688838,0.00029784208,0.00027104095],"domain_scores_gemma":[0.9967182,0.0002761254,0.00037552768,0.00006335452,0.002195721,0.00037091062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055488094,0.00020215931,0.00028914682,0.0039643766,0.0032519102,0.0027858205,0.0005433904,0.00038268915,0.009866067],"category_scores_gemma":[0.0044041653,0.00015966479,0.0003528649,0.015197718,0.0009325306,0.0006304865,0.0011094438,0.0006970671,0.0005461242],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014932429,0.00005717826,0.70404625,0.00024843853,0.00019640216,0.0012866058,0.006359171,0.002443458,0.00020080752,0.08213811,0.11640962,0.08646455],"study_design_scores_gemma":[0.000026349786,0.000013280726,0.82467943,0.00032688724,0.00010370424,0.00029150804,0.013066777,0.0022411668,0.00020173637,0.005190276,0.15377632,0.00008254204],"about_ca_topic_score_codex":0.9968092,"about_ca_topic_score_gemma":0.9970119,"teacher_disagreement_score":0.03479394,"about_ca_system_score_codex":0.03479394,"about_ca_system_score_gemma":0.04334996,"threshold_uncertainty_score":0.25244892},"labels":[],"label_agreement":null},{"id":"W2342978846","doi":"","title":"AN EMPIRICAL APPLICATION OF DYNAMIC DUALITY","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Spillover effect; Rate of return; Economics; Externality; Investment (military); Duality (order theory); Production (economics); Capital (architecture); Econometrics; Financial economics; Microeconomics; Finance; Mathematics; Political science","score_opus":0.021993816062311294,"score_gpt":0.2517166960483871,"score_spread":0.2297228799860758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2342978846","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":[0.5268993,0.0029882928,0.36541834,0.007156595,0.00025843215,0.00022409525,0.0021597084,0.0003801475,0.09451512],"genre_scores_gemma":[0.9842403,0.0004913046,0.012046742,0.00029812375,0.00011108043,0.00012832186,0.00057114667,0.000033186137,0.0020798433],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9954554,0.003027933,0.00013795309,0.0005747144,0.000448341,0.00035565798],"domain_scores_gemma":[0.9795308,0.015071792,0.0025872092,0.0016028752,0.0008411021,0.0003661043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051261093,0.0005527336,0.0010454127,0.0028066891,0.0011208417,0.0029460087,0.0014128294,0.0013477197,0.010713611],"category_scores_gemma":[0.039146196,0.0004905912,0.0011015765,0.0035944956,0.0014192829,0.0034750225,0.0035593587,0.0023624843,0.0010305739],"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":[0.00021011183,0.0004608593,0.15768299,0.00030493975,0.00035835739,0.0006286807,0.0014102489,0.09441567,0.00033656694,0.6568051,0.008732252,0.07865421],"study_design_scores_gemma":[0.00017328029,0.00031313693,0.031876944,0.00021580922,0.00012023638,0.0008233321,0.0019597618,0.34176654,0.0006390311,0.5795646,0.04247026,0.00007710869],"about_ca_topic_score_codex":0.0032902295,"about_ca_topic_score_gemma":0.001592615,"teacher_disagreement_score":0.010713611,"about_ca_system_score_codex":0.0014975857,"about_ca_system_score_gemma":0.0012729815,"threshold_uncertainty_score":0.03584057},"labels":[],"label_agreement":null},{"id":"W2344321196","doi":"10.21098/bemp.v17i1.44","title":"PENGARUH INFRASTRUKTUR TERHADAP PERTUMBUHAN EKONOMI INDONESIA","year":2014,"lang":"en","type":"article","venue":"Bulletin of Monetary Economics and Banking","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Northern Alberta Institute of Technology","funders":"","keywords":"Per capita income; Openness to experience; Economics; Convergence (economics); Spillover effect; Gini coefficient; Per capita; Econometrics; Income distribution; Macroeconomics; Inequality; Economic inequality; Mathematics; Population","score_opus":0.012745211636050293,"score_gpt":0.16531983562881644,"score_spread":0.15257462399276614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344321196","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":[0.8721506,0.0023183106,0.010946674,0.0019881974,0.0001223075,0.000047295605,0.0013392348,0.00016306117,0.110924214],"genre_scores_gemma":[0.9908099,0.00090031826,0.0009760377,0.00002807393,0.000018242585,0.00001550511,0.00030001093,0.000014672454,0.0069372146],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997671,0.000040882394,0.000021217236,0.00004706841,0.00007398921,0.00004969808],"domain_scores_gemma":[0.9996611,0.00009226151,0.000095036004,0.000025943515,0.00008228705,0.000043342425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003968356,0.00026597123,0.00027014464,0.0007172734,0.00041127784,0.001758448,0.00022467093,0.0001666976,0.0049933163],"category_scores_gemma":[0.0006064215,0.00010397233,0.0001930594,0.0011509571,0.00044012917,0.0010139815,0.00072124036,0.0005659765,0.00091021694],"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":[0.00038414632,0.0003688628,0.39624423,0.00076398376,0.00012725839,0.004481476,0.006004434,0.02310996,0.004061343,0.10620687,0.016534422,0.44171298],"study_design_scores_gemma":[0.000047569327,0.0002926677,0.76194423,0.0005042792,0.00013794145,0.0042660763,0.013090841,0.06127653,0.0045199483,0.049454384,0.1043757,0.00008985998],"about_ca_topic_score_codex":0.005049135,"about_ca_topic_score_gemma":0.0035170922,"teacher_disagreement_score":0.005049135,"about_ca_system_score_codex":0.00082242116,"about_ca_system_score_gemma":0.00090362196,"threshold_uncertainty_score":0.01670432},"labels":[],"label_agreement":null},{"id":"W2344364333","doi":"","title":"What caused the early millennium slowdown","year":2004,"lang":"en","type":"article","venue":"Ghent University Academic Bibliography (Ghent University)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"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":"Slowdown; Quarter (Canadian coin); Economics; Inflation (cosmology); Demographic economics; Geography; Economic growth","score_opus":0.02621680115296748,"score_gpt":0.18189581433983396,"score_spread":0.15567901318686647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344364333","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":[0.413858,0.07592741,0.0035683487,0.2787934,0.0074835788,0.00014178533,0.009442425,0.00051373267,0.2102713],"genre_scores_gemma":[0.9051706,0.045964975,0.001609455,0.019273601,0.0025550139,0.00013132539,0.0020215486,0.00041498893,0.022858538],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989737,0.00016190465,0.000079586796,0.00021165944,0.00017883973,0.00039427925],"domain_scores_gemma":[0.99770606,0.00037347554,0.0004412691,0.00018465254,0.00086605677,0.00042842815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003101967,0.0009352623,0.00070627773,0.001752285,0.0018779696,0.0042246394,0.00093161996,0.0020632285,0.012701689],"category_scores_gemma":[0.010226792,0.00047783632,0.00041423753,0.0028293945,0.0023620327,0.0053536617,0.0045475406,0.004063278,0.0027185678],"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":[0.0007299697,0.00021194006,0.059023056,0.003077732,0.00028051305,0.004761991,0.015530114,0.0025601005,0.0022753964,0.37275335,0.19988343,0.3389124],"study_design_scores_gemma":[0.00005567712,0.000110584384,0.11075118,0.0022619371,0.000065205044,0.0008694117,0.0060525048,0.0005039316,0.0015089334,0.038326304,0.8393969,0.00009745998],"about_ca_topic_score_codex":0.024335561,"about_ca_topic_score_gemma":0.012533047,"teacher_disagreement_score":0.024335561,"about_ca_system_score_codex":0.006704806,"about_ca_system_score_gemma":0.003318617,"threshold_uncertainty_score":0.048646986},"labels":[],"label_agreement":null},{"id":"W2345575455","doi":"10.6000/1929-7092.2016.05.04","title":"Testing Stochastic Convergence among Mexican States: A Polynomial Regression Analysis","year":2016,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universidad Autónoma de Coahuila","keywords":"Convergence (economics); Polynomial; Regression analysis; Polynomial regression; Regression; Mathematics; Applied mathematics; Econometrics; Statistics; Economics; Mathematical analysis; Economic growth","score_opus":0.046861970895984185,"score_gpt":0.2582581615438188,"score_spread":0.21139619064783463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345575455","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":[0.98249984,0.00019219996,0.013848762,0.00042207466,0.000017854125,0.000022299255,0.000652513,0.000045232817,0.0022993893],"genre_scores_gemma":[0.9973615,0.000064687956,0.0015584953,0.000014647913,0.000010449719,0.000012467141,0.0005467106,0.000009837051,0.0004212442],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984174,0.0008107288,0.000058068454,0.00035077112,0.00011518143,0.0002477787],"domain_scores_gemma":[0.9941176,0.0036764254,0.0009323905,0.00044518168,0.00066353835,0.00016487802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039384514,0.00026238838,0.00042735762,0.0013267221,0.0004998923,0.00089239446,0.0005247331,0.00030843832,0.0032148443],"category_scores_gemma":[0.015483872,0.00011733817,0.0009035264,0.001904507,0.0005657589,0.0007437351,0.0011383389,0.00084040477,0.00023175181],"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":[0.0003453152,0.0000915682,0.89071655,0.00007569887,0.0005382553,0.0004394467,0.0015392555,0.033998456,0.0005949534,0.018743629,0.0025518455,0.050365165],"study_design_scores_gemma":[0.000050980667,0.00035918108,0.710285,0.00010642848,0.00041731787,0.00019812932,0.004931892,0.26351976,0.0008801989,0.011885911,0.0073096044,0.000055515222],"about_ca_topic_score_codex":0.043646704,"about_ca_topic_score_gemma":0.014337004,"teacher_disagreement_score":0.043646704,"about_ca_system_score_codex":0.0005592936,"about_ca_system_score_gemma":0.00068030535,"threshold_uncertainty_score":0.08678526},"labels":[],"label_agreement":null},{"id":"W2346272046","doi":"10.6000/1929-7092.2016.05.07","title":"Inequality and Spatial Convergence in the Mexico City Metropolitan Area, 1989-2010","year":2016,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México","keywords":"Metropolitan area; Inequality; Polarization (electrochemistry); Spatial inequality; Geography; Economic geography; Convergence (economics); Regional science; Economic growth; Demographic economics; Development economics; Economics","score_opus":0.07031842306209146,"score_gpt":0.26863222276901944,"score_spread":0.19831379970692797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346272046","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":[0.99747,0.00038435136,0.00006437392,0.00017571171,0.0000057430484,0.0000044419144,0.00093598233,0.0000021028152,0.00095731765],"genre_scores_gemma":[0.9980076,0.0003662573,0.00008553669,0.000008947186,0.0000134377215,0.000009297196,0.0011363084,0.0000010929452,0.0003715208],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987376,0.000023907558,0.000009331012,0.000028031329,0.00002071139,0.000044260043],"domain_scores_gemma":[0.99939287,0.0000823638,0.00027534447,0.000031573076,0.00014514131,0.000072732946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032146322,0.000104431594,0.00015061781,0.0012010159,0.00051134295,0.00053933,0.00022598963,0.00017515855,0.0010389833],"category_scores_gemma":[0.0014169532,0.000072697076,0.00013915186,0.002046722,0.0002902704,0.0003431547,0.0006010122,0.00028831328,0.00008748181],"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":[0.0000872262,0.000027289949,0.9917139,0.000024835177,0.00003890405,0.000061973275,0.0007580086,0.00031355696,0.000075124946,0.00057917606,0.0009791687,0.0053408965],"study_design_scores_gemma":[0.0000015937153,0.000007760806,0.99803823,0.00001020346,0.00001074198,0.000017156553,0.0007190785,0.00023167775,0.000026172196,0.00004253469,0.0008936613,0.0000011957841],"about_ca_topic_score_codex":0.15308337,"about_ca_topic_score_gemma":0.1588111,"teacher_disagreement_score":0.15308337,"about_ca_system_score_codex":0.0010927947,"about_ca_system_score_gemma":0.00052292366,"threshold_uncertainty_score":0.3043847},"labels":[],"label_agreement":null},{"id":"W2346492005","doi":"10.1093/oxfordhb/9780190226718.013.19","title":"Decomposing value added growth over sectors into explanatory factors","year":2016,"lang":"en","type":"preprint","venue":"UNSWorks (University of New South Wales, Sydney, Australia)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Economics; Econometrics; Decomposition; Order (exchange); Value (mathematics); Economic sector; Explanatory model; Macroeconomics; Mathematics; Economy; Statistics; Finance","score_opus":0.06539489351006009,"score_gpt":0.22968762359174444,"score_spread":0.16429273008168435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346492005","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":[0.40425032,0.0020408283,0.5623769,0.0010557199,0.00019934565,0.0003085492,0.0127628315,0.0009403827,0.016065052],"genre_scores_gemma":[0.89456195,0.0011229498,0.08419454,0.000091388945,0.00014705038,0.00034261166,0.013382663,0.00014626366,0.006010542],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991357,0.00020322659,0.000055710378,0.0002300271,0.0002586321,0.00011676689],"domain_scores_gemma":[0.99692816,0.0018910792,0.00040502174,0.00037852346,0.0003151665,0.000082048864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002096633,0.0011586606,0.0007041039,0.0038567227,0.00031611428,0.002310105,0.00047429628,0.00044434777,0.0048532123],"category_scores_gemma":[0.006374905,0.00031046575,0.0010272092,0.005821668,0.0004417567,0.0012461494,0.0010041241,0.0013871619,0.0008540045],"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":[0.00026907783,0.00018754874,0.22747596,0.00035017807,0.0006450214,0.0006213253,0.00087509665,0.19086707,0.0055022463,0.12596422,0.0076703564,0.4395719],"study_design_scores_gemma":[0.000037210633,0.00016370446,0.22598305,0.00026401997,0.00020818246,0.00024703846,0.001305215,0.49265447,0.0054978966,0.21806048,0.055439353,0.00013936202],"about_ca_topic_score_codex":0.0126843965,"about_ca_topic_score_gemma":0.0070042065,"teacher_disagreement_score":0.0126843965,"about_ca_system_score_codex":0.001295847,"about_ca_system_score_gemma":0.0012835744,"threshold_uncertainty_score":0.025221169},"labels":[],"label_agreement":null},{"id":"W2347047216","doi":"10.6000/1929-7092.2016.05.06","title":"Pair-Wise Approach to Test the Regional Convergence Hypothesis in Mexico","year":2016,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Test (biology); Econometrics; Economics; Geology; Macroeconomics","score_opus":0.08069603995827285,"score_gpt":0.2363488981216379,"score_spread":0.15565285816336505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2347047216","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":[0.97151315,0.00031581178,0.023050932,0.00014543526,0.00010129061,0.00015903807,0.0011695276,0.00007186163,0.0034729724],"genre_scores_gemma":[0.98964894,0.00006958468,0.008244041,0.000040051636,0.000044758664,0.00028764643,0.0011804303,0.000020222737,0.0004642973],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98543,0.0109480815,0.0004006227,0.0018760315,0.00081198936,0.00053337764],"domain_scores_gemma":[0.9752187,0.018943654,0.002504154,0.0016196561,0.0011076118,0.00060623273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009228189,0.0006161815,0.0010569632,0.0035083196,0.0008126256,0.0009617062,0.0011586705,0.0008181499,0.004510139],"category_scores_gemma":[0.02856619,0.00020768616,0.0016044627,0.002142509,0.0008885154,0.0010020059,0.0018699595,0.001203197,0.00053841836],"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":[0.0019798626,0.0003324928,0.93750256,0.00025300498,0.003457883,0.0005687576,0.001072665,0.006144144,0.0017990075,0.005219428,0.0020328204,0.039637405],"study_design_scores_gemma":[0.00022693367,0.005422436,0.90232193,0.00011111922,0.001086365,0.0012039214,0.005854829,0.06637726,0.0032409783,0.0079744635,0.006095356,0.00008435433],"about_ca_topic_score_codex":0.0020115776,"about_ca_topic_score_gemma":0.0012159171,"teacher_disagreement_score":0.009228189,"about_ca_system_score_codex":0.0003283976,"about_ca_system_score_gemma":0.00048862596,"threshold_uncertainty_score":0.048803866},"labels":[],"label_agreement":null},{"id":"W2351859448","doi":"10.6000/1929-7092.2016.05.05","title":"Is the Economic Convergence of the Mexican States Possible? Estimates for the 1940-2013 Period","year":2016,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Conditional convergence; Econometrics; Absolute convergence; Least absolute deviations; Economics; Human capital; Convergence (economics); Proxy (statistics); Per capita; Heteroscedasticity; Population; Outlier; Panel data; Mathematics; Regression; Statistics; Macroeconomics; Economic growth; Demography","score_opus":0.03813381933580883,"score_gpt":0.261658062909414,"score_spread":0.22352424357360517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2351859448","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":[0.97705793,0.0027035186,0.006579162,0.0006803591,0.00004961329,0.000012424691,0.003252112,0.0000832062,0.009581634],"genre_scores_gemma":[0.9927255,0.00086944544,0.0011050681,0.000042602464,0.000036995167,0.000013208065,0.0039648674,0.000021479593,0.0012208396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997634,0.00005332213,0.000019164961,0.00007925638,0.000043561526,0.000041189334],"domain_scores_gemma":[0.99898833,0.00028587595,0.00032088422,0.00010269377,0.00025210282,0.000050096744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012775206,0.00014782605,0.00026228433,0.0016262485,0.00020402235,0.00067186344,0.0002055663,0.00017357807,0.0015533705],"category_scores_gemma":[0.003940841,0.00010049221,0.00040285778,0.001693397,0.00026210534,0.0005869206,0.0006022,0.0005738764,0.0001826304],"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":[0.00018295253,0.00002840094,0.90634966,0.00021045138,0.00049191556,0.00027525026,0.0013570151,0.009150371,0.00058433303,0.014600396,0.004702595,0.062066697],"study_design_scores_gemma":[0.000005740088,0.000041361436,0.97002304,0.000115656265,0.00010883972,0.00016075732,0.00093401596,0.008634781,0.0005641463,0.002076983,0.017317299,0.0000173459],"about_ca_topic_score_codex":0.021821594,"about_ca_topic_score_gemma":0.010538211,"teacher_disagreement_score":0.021821594,"about_ca_system_score_codex":0.00042980872,"about_ca_system_score_gemma":0.00036893485,"threshold_uncertainty_score":0.04338914},"labels":[],"label_agreement":null},{"id":"W2359050922","doi":"","title":"Are There Laws of Production","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Capital (architecture); Production (economics); Economics; Production function; Product (mathematics); Income shares; Wage share; Means of production; Labour economics; Classical economics; Market economy; Economy; Financial capital; Human capital; Macroeconomics; Geography; Income distribution; Inequality; Mathematics","score_opus":0.07778075903601207,"score_gpt":0.2913560821389219,"score_spread":0.21357532310290983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2359050922","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":[0.008908546,0.18324132,0.035513032,0.28950322,0.008561494,0.000109588,0.0012170768,0.00019091647,0.47275478],"genre_scores_gemma":[0.61271644,0.18581486,0.015326267,0.073029116,0.022329966,0.00072338426,0.001639771,0.00043280047,0.08798747],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9882472,0.004076457,0.0006181471,0.0024859896,0.0035790708,0.0009931462],"domain_scores_gemma":[0.97521937,0.0163728,0.0027923477,0.0025918258,0.0026251674,0.00039851142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010158552,0.00059208093,0.0015796301,0.0020456305,0.0016700577,0.01138443,0.0021940635,0.004916372,0.011007739],"category_scores_gemma":[0.02962374,0.00062376447,0.0010874108,0.00338489,0.025666527,0.016432008,0.0022083814,0.006404607,0.004369164],"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":[0.00000883281,0.000010107955,0.00034394246,0.00010997155,0.000015231643,0.00003509168,0.00028478188,0.0002625726,0.000019191628,0.97273445,0.018287912,0.007887896],"study_design_scores_gemma":[0.000009234322,0.000011251482,0.00068990403,0.00031023586,0.0000075429743,0.0000542858,0.00019316029,0.0002685079,0.000043423464,0.7560971,0.24229969,0.000015683143],"about_ca_topic_score_codex":0.004544824,"about_ca_topic_score_gemma":0.0015331629,"teacher_disagreement_score":0.01138443,"about_ca_system_score_codex":0.004447586,"about_ca_system_score_gemma":0.0034679903,"threshold_uncertainty_score":0.05372423},"labels":[],"label_agreement":null},{"id":"W2364549490","doi":"","title":"The Growth Effect of the “Four Trillion” Investment:An Application of the “Counterfactual” Method","year":2012,"lang":"en","type":"article","venue":"Contemporary Finance and Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Counterfactual thinking; Investment (military); Economics; Recession; Monetary economics; Financial crisis; Real gross domestic product; China; Government (linguistics); Estimation; Macro; Quarter (Canadian coin); Macroeconomics","score_opus":0.030458472792277688,"score_gpt":0.22501163396246107,"score_spread":0.1945531611701834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2364549490","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":[0.16534276,0.0009029922,0.8235175,0.0012024444,0.0010473094,0.0007267518,0.001260966,0.00032091356,0.005678383],"genre_scores_gemma":[0.8509108,0.00052063883,0.14238672,0.00048272146,0.00025335586,0.0017605538,0.0013089763,0.00006540367,0.0023106746],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.96967703,0.025251029,0.0008501453,0.0023681521,0.0014295125,0.00042409945],"domain_scores_gemma":[0.90596205,0.07809913,0.0071409936,0.0064996863,0.0020256666,0.00027246526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04217775,0.0010387809,0.001616957,0.0021017662,0.0006641023,0.0021401036,0.0024342814,0.001857753,0.004218712],"category_scores_gemma":[0.07946213,0.00056849816,0.0023996434,0.0018090766,0.0022421512,0.0025590737,0.0016612997,0.002212405,0.0002866824],"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":[0.002866528,0.0010034866,0.079072475,0.0008641306,0.00463211,0.0016155328,0.0009689145,0.33431906,0.0023543579,0.47034675,0.0052151014,0.09674154],"study_design_scores_gemma":[0.0005592469,0.0013494281,0.020763261,0.0001355218,0.0016934846,0.00037495748,0.00038048648,0.82351935,0.0073948903,0.12841767,0.015177122,0.00023456143],"about_ca_topic_score_codex":0.0040826546,"about_ca_topic_score_gemma":0.0016407227,"teacher_disagreement_score":0.04217775,"about_ca_system_score_codex":0.0011894319,"about_ca_system_score_gemma":0.001522984,"threshold_uncertainty_score":0.22305995},"labels":[],"label_agreement":null},{"id":"W2368922831","doi":"","title":"An Analysis of Social Systems Leading to the Rising and Declining of Neo-Economy in America","year":2004,"lang":"en","type":"article","venue":"Journal of Xingtai University","topic":"Economic Growth and Productivity","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":"Economics; Slump; Quarter (Canadian coin); Inflation (cosmology); Economy; World economy; Political science; Geography","score_opus":0.022916303206570815,"score_gpt":0.22007288005178313,"score_spread":0.19715657684521232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2368922831","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":[0.9514355,0.0006280611,0.001415255,0.004594216,0.000018749457,0.000035518788,0.00016123962,0.000015227246,0.041696273],"genre_scores_gemma":[0.99816823,0.00028379867,0.00018743121,0.000071528295,0.000010484776,0.000007710255,0.0000371016,0.0000019548384,0.001231741],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998103,0.000055030243,0.0000054672255,0.00001950328,0.00002458843,0.00008522689],"domain_scores_gemma":[0.99945647,0.000097176344,0.00017062885,0.000013720085,0.00010286473,0.00015922767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000412531,0.0001320566,0.00013283455,0.0011741192,0.0018649305,0.0020944143,0.00022302328,0.0005330962,0.0046989187],"category_scores_gemma":[0.0008969966,0.000100543955,0.0003685067,0.0013851469,0.0015020638,0.0008968505,0.0010966507,0.00062912813,0.00012524099],"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":[0.00009954957,0.00026212266,0.30141205,0.00013281603,0.0001284648,0.0018010214,0.014739477,0.008894239,0.0015130762,0.6312797,0.0073818145,0.03235573],"study_design_scores_gemma":[0.000040619892,0.00015850367,0.7482167,0.00011646605,0.00011708144,0.00032066507,0.0324025,0.022522433,0.00054166216,0.1564405,0.039086152,0.000036726356],"about_ca_topic_score_codex":0.034377035,"about_ca_topic_score_gemma":0.038222503,"teacher_disagreement_score":0.034377035,"about_ca_system_score_codex":0.004117315,"about_ca_system_score_gemma":0.0021208853,"threshold_uncertainty_score":0.06835389},"labels":[],"label_agreement":null},{"id":"W2399865994","doi":"","title":"ICT Investment, Spillover Effect, and Productivity in Canada: Provincial and Industry Analysis","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Productivity; Spillover effect; Investment (military); Information and Communications Technology; Business; Industrial organization; Economics; Economic growth; Political science; Microeconomics","score_opus":0.007209355924752219,"score_gpt":0.17852532633212284,"score_spread":0.17131597040737062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2399865994","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":[0.9742745,0.00264014,0.00061562646,0.0017572455,0.000030232311,0.000048418795,0.011017766,0.000092367256,0.009523735],"genre_scores_gemma":[0.98816246,0.0011227451,0.00026919608,0.000073673604,0.000011679735,0.000012033861,0.0031202375,0.000018578214,0.007209473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991296,0.00006835312,0.00004109524,0.000089611014,0.00020151043,0.00046984214],"domain_scores_gemma":[0.99318826,0.0012835499,0.0007585888,0.00023812486,0.0030662008,0.0014652697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001032147,0.0003464694,0.0007818566,0.0023688686,0.0019728728,0.0021481633,0.0011439087,0.0005498918,0.007647086],"category_scores_gemma":[0.0052430825,0.00028259124,0.0012848286,0.007533581,0.0008988707,0.0006341475,0.0012842941,0.0011118895,0.00048809877],"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":[0.00034948066,0.000089055415,0.96150017,0.000090160356,0.00026331624,0.00028296895,0.0008099441,0.006492069,0.00023265783,0.0056939754,0.008152167,0.016044062],"study_design_scores_gemma":[0.0000561463,0.0000556852,0.9739387,0.000104147315,0.00041382894,0.000101520454,0.003031785,0.01322519,0.00034610517,0.0011233914,0.007561424,0.000042106778],"about_ca_topic_score_codex":0.99760723,"about_ca_topic_score_gemma":0.9980812,"teacher_disagreement_score":0.032059588,"about_ca_system_score_codex":0.032059588,"about_ca_system_score_gemma":0.07182349,"threshold_uncertainty_score":0.23260969},"labels":[],"label_agreement":null},{"id":"W2402022551","doi":"10.2139/ssrn.2785861","title":"Institutional Reform in the Rural Sector with Labor and Capital Flows: Factor Income Effects, Structural Changes and Misallocations","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Labour economics; Economics; Capital (architecture); Geography","score_opus":0.007611141877339632,"score_gpt":0.18733332628768595,"score_spread":0.17972218441034632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2402022551","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":[0.9901944,0.00031781453,0.0009942537,0.0016522465,0.000007813618,0.000013327346,0.00009417948,0.000013223808,0.0067126974],"genre_scores_gemma":[0.99869245,0.00009781791,0.00009068541,0.000045203786,0.00001290728,0.000003190288,0.000018193852,0.0000027482363,0.0010368582],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990451,0.00046013598,0.000039375704,0.000097120865,0.000069905196,0.00028836646],"domain_scores_gemma":[0.9955325,0.0013599388,0.0019810982,0.00031981658,0.0003331264,0.0004735105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015440757,0.00014874626,0.00034982624,0.00056632946,0.00052619487,0.0016892981,0.0006421691,0.0006197294,0.012177521],"category_scores_gemma":[0.006340348,0.00015098491,0.00030836277,0.001930337,0.0019384827,0.0016646999,0.0016954207,0.00045742886,0.00044059262],"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":[0.0020070963,0.0016338264,0.62280184,0.00033265832,0.0003024632,0.0015564135,0.0040839682,0.040250998,0.005221111,0.24044667,0.003036935,0.0783259],"study_design_scores_gemma":[0.00024337822,0.0005974952,0.8261338,0.00008444562,0.00022702226,0.0003117708,0.011224873,0.018785795,0.0026485494,0.12900469,0.01069743,0.00004081939],"about_ca_topic_score_codex":0.007697264,"about_ca_topic_score_gemma":0.0125143295,"teacher_disagreement_score":0.012177521,"about_ca_system_score_codex":0.002303172,"about_ca_system_score_gemma":0.0013997282,"threshold_uncertainty_score":0.040737867},"labels":[],"label_agreement":null},{"id":"W2410951744","doi":"10.1017/cbo9780511510847.008","title":"Innovation Regimes and Type of Innovation","year":2003,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Statistics Canada","funders":"","keywords":"Industrial organization; Novelty; Production (economics); Process (computing); Frontier; Product innovation; Product (mathematics); Business; Economics; New product development; Commerce; Marketing; Microeconomics; Computer science","score_opus":0.05145323055476131,"score_gpt":0.19549012930627152,"score_spread":0.1440368987515102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2410951744","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":[0.25732338,0.010226083,0.0173427,0.0023670045,0.00030246095,0.0002262192,0.0013492748,0.0002715201,0.71059126],"genre_scores_gemma":[0.94386303,0.0064363247,0.008870705,0.00033373127,0.0003875473,0.00029234446,0.0007997404,0.00009730825,0.038919423],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99714524,0.0006749116,0.00026258198,0.00042846182,0.0011156291,0.0003732423],"domain_scores_gemma":[0.97795975,0.012915347,0.003906371,0.0019840146,0.0018302143,0.0014042357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029756464,0.0002700146,0.00048575207,0.004527329,0.0006573247,0.00590385,0.00096936215,0.0014767958,0.01710922],"category_scores_gemma":[0.023539754,0.00021173875,0.00076609454,0.0042545744,0.0025304721,0.004945871,0.0024701874,0.0011731124,0.00358076],"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":[0.0003984747,0.00026704988,0.10387359,0.00085798977,0.0001860986,0.00039981,0.0027279004,0.0044020773,0.0040547336,0.59097904,0.008278712,0.28357443],"study_design_scores_gemma":[0.00008564336,0.0004160831,0.1509322,0.0012073268,0.00011860459,0.0029683404,0.0029619564,0.005561733,0.0032128822,0.6822546,0.15016341,0.00011717296],"about_ca_topic_score_codex":0.00015065487,"about_ca_topic_score_gemma":0.00016330439,"teacher_disagreement_score":0.01710922,"about_ca_system_score_codex":0.0010966209,"about_ca_system_score_gemma":0.00050734007,"threshold_uncertainty_score":0.057236016},"labels":[],"label_agreement":null},{"id":"W2411855211","doi":"10.1111/1468-0106.12240","title":"How fast can China grow? The Middle Kingdom's prospects to 2030","year":2017,"lang":"en","type":"article","venue":"Pacific Economic Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Economics; Total factor productivity; China; Human capital; Stock (firearms); Wage; Investment (military); Growth accounting; Productivity; Commodity; Production function; Macroeconomics; Production (economics); Monetary economics; Econometrics; Labour economics; Market economy","score_opus":0.07444965803920957,"score_gpt":0.2391964077907605,"score_spread":0.16474674975155096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2411855211","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":[0.7620981,0.073755346,0.0026011874,0.08839594,0.0015833357,0.000034827386,0.006178931,0.00013459007,0.06521778],"genre_scores_gemma":[0.9766996,0.017022606,0.0004903866,0.0010857785,0.00014712685,0.000011633638,0.00097534043,0.000013201937,0.0035543127],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983597,0.000024838442,0.000011436415,0.000017050677,0.000046340454,0.00006427806],"domain_scores_gemma":[0.9994961,0.000047265326,0.000088609646,0.000019210003,0.00023497306,0.000113803406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009053262,0.00031246565,0.00020912042,0.00060376694,0.0002907202,0.0012657312,0.00028505528,0.00048597084,0.0019500804],"category_scores_gemma":[0.0013064663,0.00007107116,0.00030341305,0.0010015931,0.00033546126,0.0012589205,0.00062067306,0.00046823767,0.00043329844],"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":[0.00068302796,0.00007281179,0.3239173,0.002291317,0.00042058906,0.002744731,0.0030441904,0.029161425,0.005897036,0.1247407,0.13281886,0.37420803],"study_design_scores_gemma":[0.000036398516,0.0002861547,0.6032121,0.0010490053,0.0002114759,0.00040727004,0.0049706963,0.021049848,0.0036490953,0.014567488,0.35043037,0.00013018597],"about_ca_topic_score_codex":0.050365508,"about_ca_topic_score_gemma":0.03536195,"teacher_disagreement_score":0.050365508,"about_ca_system_score_codex":0.0019113753,"about_ca_system_score_gemma":0.002615248,"threshold_uncertainty_score":0.100144684},"labels":[],"label_agreement":null},{"id":"W2414422758","doi":"","title":"Nafta: odhadované efekty a realita po šesti letech [Nafta: effects estimated and reality after six years]","year":2001,"lang":"cs","type":"article","venue":"Politická ekonomie","topic":"Economic Growth and Productivity","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":"Economics; Free trade agreement; International economics; International trade; Free trade","score_opus":0.038227546629824374,"score_gpt":0.2537707406013109,"score_spread":0.21554319397148652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2414422758","genre_codex":"review","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":[0.30907938,0.3726808,0.014464,0.07219364,0.0058459393,0.00014099547,0.022696223,0.00081873615,0.2020802],"genre_scores_gemma":[0.856064,0.10764954,0.004925098,0.0014689435,0.0012150927,0.00008658699,0.007112264,0.00011549244,0.021362893],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99934727,0.00017250115,0.000042491003,0.00010253501,0.00027753712,0.00005757345],"domain_scores_gemma":[0.9980439,0.0008196369,0.0005144679,0.00007219528,0.00050708867,0.000042674543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015096953,0.00041301482,0.0004066107,0.0037407528,0.0008613971,0.0041221967,0.0003685524,0.0010064897,0.004603695],"category_scores_gemma":[0.0052376315,0.00017545826,0.00029016082,0.007864386,0.0015181813,0.0025854178,0.00076508266,0.0011020398,0.0005575473],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047275246,0.0001576197,0.124979824,0.0027350185,0.00037779496,0.0017716852,0.0075385533,0.009213933,0.0015727712,0.2698348,0.17567518,0.4056701],"study_design_scores_gemma":[0.000022894556,0.00021911207,0.2389773,0.0018570512,0.00022025369,0.0008804595,0.0062857447,0.00231918,0.0015127126,0.031774145,0.7157926,0.00013853639],"about_ca_topic_score_codex":0.068823874,"about_ca_topic_score_gemma":0.045486867,"teacher_disagreement_score":0.9311761,"about_ca_system_score_codex":0.0033361046,"about_ca_system_score_gemma":0.0022283886,"threshold_uncertainty_score":0.13684654},"labels":[],"label_agreement":null},{"id":"W2414501353","doi":"","title":"Physical and Human Capital over the Business Cycle","year":2016,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Université Laval","keywords":"Physical capital; Business cycle; Economics; Investment (military); Capital deepening; Capital good; Human capital; Consumption (sociology); Investment goods; Capital (architecture); Capital formation; Financial capital; Monetary economics; Fixed investment; Capital intensity; Capital accumulation; Growth model; Econometrics; Macroeconomics; Economy; Goods and services; Market economy","score_opus":0.019476143832361466,"score_gpt":0.19853743485391323,"score_spread":0.17906129102155177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2414501353","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":[0.83249456,0.002696198,0.04509563,0.0037399584,0.00006931356,0.000116567026,0.023935966,0.00039117353,0.09146067],"genre_scores_gemma":[0.9777174,0.0018011316,0.0044990927,0.00016028238,0.000028045399,0.000058375368,0.004705459,0.000022566746,0.011007594],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968517,0.000052248208,0.00001923553,0.000114990966,0.000079413374,0.000049087474],"domain_scores_gemma":[0.9989429,0.00035899095,0.00031057218,0.00017145636,0.00014374792,0.00007230298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053757295,0.00020771785,0.00024612676,0.0011337461,0.00020514573,0.0015626745,0.0002485171,0.00039774965,0.004415684],"category_scores_gemma":[0.004235222,0.000211613,0.00027292894,0.0027073554,0.00053718215,0.0013084674,0.0005888944,0.00047703218,0.0008194458],"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":[0.00023071293,0.00010765267,0.41018435,0.0002138313,0.0001798282,0.00032057113,0.00073448144,0.18904032,0.0016324121,0.124886446,0.015108291,0.25736108],"study_design_scores_gemma":[0.000024127034,0.00009747408,0.6491875,0.00014728552,0.0000907933,0.00028106503,0.00063261105,0.10705083,0.0017587158,0.1655345,0.07513323,0.00006189611],"about_ca_topic_score_codex":0.017517172,"about_ca_topic_score_gemma":0.0146284485,"teacher_disagreement_score":0.017517172,"about_ca_system_score_codex":0.0011628838,"about_ca_system_score_gemma":0.0009895222,"threshold_uncertainty_score":0.03483045},"labels":[],"label_agreement":null},{"id":"W2466931159","doi":"","title":"Essays On Russian Economic Geography: Measuring Spatial Inefficiency","year":2004,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Inefficiency; Population; Context (archaeology); Geography; Counterfactual thinking; Economics; Economy; Market economy","score_opus":0.026024646835319288,"score_gpt":0.19336009357319428,"score_spread":0.16733544673787498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2466931159","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":[0.7331339,0.007496162,0.057553317,0.006771775,0.00068677694,0.00019154535,0.0028346416,0.00013617943,0.19119576],"genre_scores_gemma":[0.9754421,0.0043028505,0.011849847,0.00031260197,0.00020608946,0.00016493401,0.0012595312,0.00007726417,0.0063848323],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978898,0.0009929779,0.00015154162,0.00023956626,0.000641903,0.00008418112],"domain_scores_gemma":[0.99178797,0.0048596472,0.001290269,0.0010481226,0.0008919844,0.00012205353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022149202,0.00070147787,0.0005261778,0.0027533837,0.00097222015,0.002955464,0.0005218489,0.0005637648,0.0036094391],"category_scores_gemma":[0.016884428,0.0003048498,0.00063733064,0.005304282,0.003351852,0.0020181485,0.0017216654,0.00086460164,0.00046339713],"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":[0.00014542778,0.00019752975,0.19773906,0.00057467853,0.0004148996,0.00028686205,0.010174294,0.050042268,0.0019705626,0.556605,0.031208469,0.15064101],"study_design_scores_gemma":[0.000047530793,0.0004344656,0.47034612,0.0010380506,0.00034412352,0.0006269008,0.019550618,0.019572698,0.0031277095,0.26890236,0.21588138,0.00012805537],"about_ca_topic_score_codex":0.0041662245,"about_ca_topic_score_gemma":0.0032183053,"teacher_disagreement_score":0.0041662245,"about_ca_system_score_codex":0.0022342922,"about_ca_system_score_gemma":0.0007070417,"threshold_uncertainty_score":0.016211033},"labels":[],"label_agreement":null},{"id":"W2471470109","doi":"10.1017/s1365100518000391","title":"DETECTING CONVERGENCE CLUBS","year":2018,"lang":"en","type":"preprint","venue":"Macroeconomic Dynamics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Convergence (economics); Pairwise comparison; Context (archaeology); Monte Carlo method; Convergence clubs; Econometrics; Computer science; A priori and a posteriori; Rate of convergence; Mathematical optimization; Mathematics; Economics; Statistics; Artificial intelligence; Macroeconomics; Geography","score_opus":0.02516729702716196,"score_gpt":0.2234452163745019,"score_spread":0.19827791934733996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2471470109","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":[0.26789838,0.00060686906,0.7210644,0.0003942861,0.00011163322,0.0004679036,0.0008425233,0.000887903,0.0077260146],"genre_scores_gemma":[0.8592902,0.00016315668,0.13669106,0.00009183123,0.00007309815,0.00029013862,0.0014393997,0.0001318451,0.0018291476],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99353665,0.002822364,0.00036413642,0.0014117662,0.0012303648,0.0006347506],"domain_scores_gemma":[0.96464556,0.022132708,0.0032849812,0.0035435578,0.0045842836,0.0018089318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00820837,0.0008237895,0.0021228439,0.0068963883,0.002639021,0.002498757,0.0024015424,0.0019932825,0.004078682],"category_scores_gemma":[0.05160589,0.00051684247,0.0017360573,0.0031093927,0.0018810744,0.0030961358,0.0048396257,0.0016318938,0.0008161367],"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":[0.0012896709,0.0009120952,0.20294738,0.00088438723,0.0007623749,0.0017746028,0.0021179505,0.28076246,0.0065800534,0.14862928,0.014288802,0.33905104],"study_design_scores_gemma":[0.000056569785,0.00013889311,0.010184699,0.000080853,0.00006388982,0.00039909422,0.0006547788,0.91480875,0.002716838,0.067770824,0.003079623,0.00004512128],"about_ca_topic_score_codex":0.0028824485,"about_ca_topic_score_gemma":0.00218786,"teacher_disagreement_score":0.00820837,"about_ca_system_score_codex":0.0010325803,"about_ca_system_score_gemma":0.0017520465,"threshold_uncertainty_score":0.04341048},"labels":[],"label_agreement":null},{"id":"W247493394","doi":"","title":"The Conference on Research in Income and Wealth","year":2005,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Census; Political science; Product (mathematics); Business; Public relations; Public administration; Sociology; Population","score_opus":0.06914272235704275,"score_gpt":0.2843320051249065,"score_spread":0.21518928276786373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W247493394","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014676654,0.18460165,0.0048010037,0.27252826,0.09760455,0.00017040932,0.0026576293,0.00015447733,0.43601438],"genre_scores_gemma":[0.051247112,0.17369394,0.008401889,0.05512936,0.087787695,0.0011254437,0.0037367735,0.000665654,0.6182122],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98909175,0.0048007458,0.0005546156,0.0015540114,0.002967773,0.0010310386],"domain_scores_gemma":[0.9921023,0.003546825,0.00047181104,0.0009089154,0.002073543,0.00089653104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01362397,0.0019161844,0.0020401836,0.004713642,0.0036560702,0.015655225,0.0020439005,0.005068576,0.038617447],"category_scores_gemma":[0.027218934,0.00066433806,0.0018830774,0.005628645,0.005916934,0.0105104735,0.006330205,0.011639711,0.015678529],"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":[0.000060555078,0.000027642844,0.00042487826,0.00015076117,0.000016892223,0.00005484737,0.00031642106,0.000106742584,0.00006264143,0.21923779,0.728281,0.05125974],"study_design_scores_gemma":[0.000011773964,0.000008604196,0.0006939918,0.00042958808,0.0000060739967,0.000022565482,0.0001321578,0.000051666993,0.00005518896,0.020882636,0.9776934,0.000012426667],"about_ca_topic_score_codex":0.01646182,"about_ca_topic_score_gemma":0.0134225525,"teacher_disagreement_score":0.038617447,"about_ca_system_score_codex":0.011572316,"about_ca_system_score_gemma":0.012189854,"threshold_uncertainty_score":0.1291883},"labels":[],"label_agreement":null},{"id":"W2475186096","doi":"10.1515/jaes-2015-0021","title":"Earth As Wealth Resource In The Crisul Repede Basin","year":2015,"lang":"en","type":"article","venue":"Journal of Applied Engineering Sciences","topic":"Economic Growth and Productivity","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":"Temperate climate; Planet; Quarter (Canadian coin); Agriculture; Resource (disambiguation); Geography; Globe; Structural basin; Agricultural economics; Environmental science; Geology; Archaeology; Economics; Ecology; Physics","score_opus":0.03660356214908507,"score_gpt":0.2203667030153329,"score_spread":0.18376314086624784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2475186096","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":[0.9395612,0.0004928392,0.00012292003,0.0012201522,0.000012396239,0.000011147985,0.0007425791,0.000015244319,0.05782149],"genre_scores_gemma":[0.99495995,0.00016306332,0.00012642554,0.00005671624,0.0000054090456,0.0000047378817,0.00042321958,0.0000050530825,0.0042553656],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999367,0.000010878047,0.0000023577784,0.000010275877,0.000012816165,0.000026911077],"domain_scores_gemma":[0.9999225,0.000016360638,0.000018296978,0.000005746428,0.0000137343395,0.000023387287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000105611696,0.00009079574,0.00020641086,0.00083974074,0.0009868738,0.0009827787,0.00026723937,0.00021956366,0.006148261],"category_scores_gemma":[0.0002779215,0.000059204707,0.000056136072,0.0015168968,0.00069221645,0.00044802573,0.001239319,0.0003118942,0.0003012312],"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":[0.000540944,0.00032130085,0.5103071,0.00040043282,0.00015142724,0.012386567,0.012760899,0.0057898145,0.0036614481,0.2530337,0.048768006,0.15187848],"study_design_scores_gemma":[0.00006723192,0.000084757055,0.70284915,0.00015042163,0.000040370614,0.0011677605,0.022824213,0.006007534,0.00078214257,0.021337235,0.24465515,0.00003410516],"about_ca_topic_score_codex":0.044579588,"about_ca_topic_score_gemma":0.119864516,"teacher_disagreement_score":0.044579588,"about_ca_system_score_codex":0.0012097002,"about_ca_system_score_gemma":0.00088333327,"threshold_uncertainty_score":0.08864021},"labels":[],"label_agreement":null},{"id":"W2480985362","doi":"","title":"A New Trend","year":2014,"lang":"zh","type":"article","venue":"北京周报：英文版","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Gross domestic product; China; Economics; Real gross domestic product; Accidental; Geography; Economic growth; Econometrics","score_opus":0.027115842791651145,"score_gpt":0.19658453152577665,"score_spread":0.16946868873412552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2480985362","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":[0.033464395,0.044743575,0.01329707,0.52018523,0.05440696,0.00013722655,0.0031110754,0.0011561114,0.32949838],"genre_scores_gemma":[0.28577092,0.080301344,0.01413291,0.14571434,0.044327408,0.00025052685,0.0037292314,0.001000559,0.4247727],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981729,0.00024146833,0.00010451157,0.0005085258,0.00068941206,0.0002832657],"domain_scores_gemma":[0.9952932,0.0004943321,0.00040404778,0.00048686969,0.0024454792,0.0008761197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002510637,0.00065898435,0.0004960584,0.0018962412,0.002769381,0.0074731708,0.0012065759,0.002593883,0.033810068],"category_scores_gemma":[0.0052954615,0.00022485865,0.00058887305,0.0029728482,0.0036370838,0.010318107,0.0027587162,0.0063474816,0.012652642],"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":[0.00010297289,0.00007870773,0.007864669,0.00056067057,0.000045505207,0.00061362766,0.0042328923,0.00016430527,0.001966848,0.23855211,0.5367883,0.2090295],"study_design_scores_gemma":[0.0000050244503,0.00002957966,0.0027704856,0.00013159568,0.000008542046,0.0002292617,0.0012137402,0.00010369846,0.00015691409,0.014597032,0.9807381,0.000015962569],"about_ca_topic_score_codex":0.0060713585,"about_ca_topic_score_gemma":0.0077328375,"teacher_disagreement_score":0.033810068,"about_ca_system_score_codex":0.0029356969,"about_ca_system_score_gemma":0.0048456877,"threshold_uncertainty_score":0.11310595},"labels":[],"label_agreement":null},{"id":"W2481745430","doi":"","title":"Les sources industrielles des baisses de rendement de la productivite du travail au Canada et le role de l?ajustement structurel dans les annees 1990 et 2000","year":2016,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Political science; Humanities; Philosophy","score_opus":0.02848930866384965,"score_gpt":0.2607137204885491,"score_spread":0.23222441182469947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2481745430","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":[0.7873652,0.016509054,0.007183234,0.006356193,0.00017504276,0.00010489188,0.13113824,0.0005470186,0.050621178],"genre_scores_gemma":[0.9022399,0.010212008,0.0038651463,0.00037257254,0.00009345981,0.00006669444,0.041469816,0.00022776813,0.041452754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998643,0.00008744,0.00007305899,0.00022616578,0.0006690477,0.0003012728],"domain_scores_gemma":[0.9890381,0.002516192,0.0020926665,0.00050105347,0.005165173,0.0006868352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014231076,0.0005748352,0.0005457066,0.008645117,0.0014923996,0.004426764,0.00071339926,0.00040352636,0.0058850427],"category_scores_gemma":[0.0072719348,0.0004309355,0.0009120105,0.015731085,0.0008315896,0.0009839287,0.001210352,0.00092859444,0.00082104973],"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":[0.00024601838,0.00003370981,0.86350054,0.00055958104,0.0006303912,0.0004377207,0.007119973,0.0030528146,0.0011544476,0.014823088,0.01755615,0.090885535],"study_design_scores_gemma":[0.00000833087,0.0000096609365,0.9535359,0.000268477,0.00011904271,0.00007088212,0.0022354925,0.0013704906,0.0007284996,0.00078616384,0.04082735,0.000039861192],"about_ca_topic_score_codex":0.9817945,"about_ca_topic_score_gemma":0.9836098,"teacher_disagreement_score":0.018205523,"about_ca_system_score_codex":0.015115423,"about_ca_system_score_gemma":0.030991593,"threshold_uncertainty_score":0.10967058},"labels":[],"label_agreement":null},{"id":"W2483768613","doi":"10.5539/mas.v10n9p205","title":"Investigating the Effects of Different Levels of Formal Education on Iran’s Economic Growth","year":2016,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Human capital; Formal education; Economics; Demographic economics; Regression analysis; Economic expansion; Economic growth; Psychology; Mathematics; Macroeconomics; Statistics; Pedagogy","score_opus":0.029606506299124858,"score_gpt":0.21652034045669583,"score_spread":0.18691383415757096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2483768613","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":[0.9969668,0.0002070672,0.00012694321,0.00024607198,0.000010719984,0.000005932447,0.00030507758,0.0000061321684,0.00212532],"genre_scores_gemma":[0.99909556,0.00011746662,0.00006560912,0.000013491453,0.000011631091,0.000003939123,0.00032131738,0.0000011658983,0.00036979525],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946684,0.00010788595,0.000041301355,0.000072358634,0.00013106555,0.00018051686],"domain_scores_gemma":[0.9954952,0.002172337,0.0011513366,0.00017956013,0.00060208724,0.0003994179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009587114,0.00021142807,0.00018959824,0.00086517725,0.00025439932,0.00066177885,0.00021392365,0.0002007881,0.0023405878],"category_scores_gemma":[0.0048720343,0.00006566214,0.0005249587,0.00130213,0.00042098758,0.00046300594,0.00052613195,0.00071962044,0.00019622566],"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":[0.00012119345,0.00009245217,0.98092884,0.000028843951,0.0000675266,0.00012975454,0.00027997192,0.0017036354,0.00015919963,0.00075542985,0.00046147773,0.015271771],"study_design_scores_gemma":[0.000004664799,0.000074242715,0.9972831,0.000010779266,0.000029731189,0.000026885029,0.00040802744,0.0010989081,0.00018651057,0.00020647122,0.00066719076,0.0000035147502],"about_ca_topic_score_codex":0.025792994,"about_ca_topic_score_gemma":0.024834411,"teacher_disagreement_score":0.025792994,"about_ca_system_score_codex":0.0008736665,"about_ca_system_score_gemma":0.001213062,"threshold_uncertainty_score":0.051285684},"labels":[],"label_agreement":null},{"id":"W2486321413","doi":"10.1142/9789812791863_0006","title":"Economic Hereditary Model of Canada","year":2000,"lang":"en","type":"book-chapter","venue":"Series on advances in mathematics for applied sciences","topic":"Economic Growth and Productivity","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":"Genealogy; History","score_opus":0.02623222622245572,"score_gpt":0.21366673187382518,"score_spread":0.18743450565136946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2486321413","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":[0.21339656,0.0021830006,0.05866208,0.014625149,0.00047618838,0.000110601875,0.003618269,0.00042423475,0.7065039],"genre_scores_gemma":[0.89049,0.0014192153,0.009464835,0.00064220774,0.00019147336,0.00007689295,0.00085280195,0.00009838801,0.09676419],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966264,0.000057591125,0.000011031111,0.00004750192,0.00011845444,0.00010271909],"domain_scores_gemma":[0.99931383,0.00012189415,0.00005317919,0.00007100103,0.00030667573,0.0001334778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041726307,0.00035417578,0.0008122742,0.0013285719,0.0030433973,0.00246653,0.0012002336,0.00096854556,0.015017998],"category_scores_gemma":[0.0016490788,0.00017768228,0.00056094327,0.0018835093,0.0022181133,0.001577031,0.0008005423,0.0016226255,0.0006551841],"study_design_candidate":"simulation_or_modeling","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":[0.000003796547,0.0000038860976,0.00009665231,0.0000047034523,0.0000028691202,0.000013470959,0.000027544591,0.0022026976,0.000024196444,0.9933523,0.0034080113,0.0008598685],"study_design_scores_gemma":[0.000018948052,0.000003431008,0.00044439558,0.000010520705,0.000009327941,0.00003674041,0.00009202511,0.031842638,0.00005662381,0.954411,0.013059289,0.0000151359645],"about_ca_topic_score_codex":0.6527812,"about_ca_topic_score_gemma":0.59812486,"teacher_disagreement_score":0.3472188,"about_ca_system_score_codex":0.01536514,"about_ca_system_score_gemma":0.014698867,"threshold_uncertainty_score":0.6985273},"labels":[],"label_agreement":null},{"id":"W2486440912","doi":"10.1142/9789814287814_0010","title":"Urban Land Expansion and Economic Growth","year":2011,"lang":"en","type":"book-chapter","venue":"Series on contemporary China","topic":"Economic Growth and Productivity","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":"University of the Fraser Valley","funders":"","keywords":"Urban expansion; Geography; Economics; Urbanization; Economic growth","score_opus":0.03302817787411107,"score_gpt":0.1814649269531132,"score_spread":0.14843674907900212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2486440912","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":[0.015226189,0.4138058,0.007822224,0.03201475,0.013725911,0.00005636705,0.0029361355,0.0003224571,0.5140901],"genre_scores_gemma":[0.121878386,0.2296495,0.0027292212,0.0010102134,0.009170723,0.00007174989,0.0017289143,0.00014709099,0.6336142],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99991083,0.000017005766,0.000005781089,0.00001386121,0.00004117526,0.000011457905],"domain_scores_gemma":[0.9997613,0.0000691577,0.000024816696,0.000029306795,0.00008253021,0.00003295058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035131082,0.00091616355,0.0005404598,0.0021263063,0.00042614248,0.0009844712,0.0004368153,0.00041593105,0.021798845],"category_scores_gemma":[0.00055134663,0.00016780132,0.00019120875,0.0043312986,0.0008563856,0.0014365619,0.00040463053,0.00083967677,0.0026470013],"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":[0.000017823662,0.0000327241,0.0016643602,0.0002182948,0.000011673814,0.00008093455,0.00036016534,0.0019311261,0.00018253534,0.16904975,0.6038674,0.22258326],"study_design_scores_gemma":[0.0000067356877,0.000019419707,0.011971331,0.000279521,0.000022489237,0.00010184888,0.00032348264,0.002745884,0.0003003167,0.060480285,0.92373556,0.000013041654],"about_ca_topic_score_codex":0.021800179,"about_ca_topic_score_gemma":0.049452864,"teacher_disagreement_score":0.021800179,"about_ca_system_score_codex":0.002687731,"about_ca_system_score_gemma":0.0019704998,"threshold_uncertainty_score":0.072924435},"labels":[],"label_agreement":null},{"id":"W2493648602","doi":"10.1057/9780230599451_2","title":"National Innovation: Mobilizing Nations for the 21st Century Economy","year":2007,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan UK eBooks","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for International Governance Innovation; University of Waterloo; Asia Pacific Foundation of Canada","funders":"","keywords":"China; World economy; Economy; International trade; Political science; Business; Economics","score_opus":0.06782750689970174,"score_gpt":0.2514459609622854,"score_spread":0.18361845406258365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2493648602","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":[0.0015181713,0.02630312,0.0039523724,0.015841296,0.002144192,0.00003403206,0.000033000637,0.000096330084,0.9500774],"genre_scores_gemma":[0.13339598,0.08714918,0.013203891,0.01303416,0.0025885417,0.00037781088,0.00015774928,0.0002377327,0.749855],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99896514,0.000396086,0.000035952893,0.00010370428,0.0003156518,0.00018346461],"domain_scores_gemma":[0.99929965,0.00030311098,0.000050111496,0.00009881255,0.00012266848,0.00012559461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017909587,0.0006513632,0.00049281376,0.0014635761,0.0030427189,0.008694473,0.00074186636,0.0023299872,0.00888663],"category_scores_gemma":[0.001974338,0.00019193941,0.00029108074,0.002321142,0.0058761584,0.0081421845,0.0050039464,0.003963998,0.0029536295],"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":[0.0000027531446,0.000007982368,0.000059660353,0.000055015338,0.0000017723975,0.000023155686,0.00101396,0.00011134483,0.00003393488,0.9406934,0.03296584,0.025031276],"study_design_scores_gemma":[0.000001945962,0.0000065870354,0.0001375802,0.00023063518,0.0000018307926,0.00004064195,0.0004483334,0.00011681926,0.0000511474,0.13294022,0.8660194,0.0000047441245],"about_ca_topic_score_codex":0.0027509534,"about_ca_topic_score_gemma":0.005913067,"teacher_disagreement_score":0.00888663,"about_ca_system_score_codex":0.0048534498,"about_ca_system_score_gemma":0.007555071,"threshold_uncertainty_score":0.035214365},"labels":[],"label_agreement":null},{"id":"W2495263909","doi":"10.32920/ryerson.14638629.v1","title":"Outsourcing versus technology transfer: Hotelling meets Stackelberg","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Stackelberg competition; Outsourcing; Duopoly; Pareto principle; Order (exchange); Industrial organization; Microeconomics; Business; Transfer (computing); Technology transfer; Economics; Cournot competition; Marketing; Operations management; Finance; International trade; Computer science","score_opus":0.05580111275643559,"score_gpt":0.22653858119130213,"score_spread":0.17073746843486654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2495263909","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":[0.66228235,0.002266737,0.13800012,0.003307026,0.00011097393,0.000118937234,0.00013938046,0.000075577605,0.19369891],"genre_scores_gemma":[0.98922485,0.0005128339,0.0045965025,0.00010346224,0.000034204822,0.000021396034,0.000017522741,0.000007834188,0.005481362],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990212,0.00039389654,0.00003302777,0.000106349486,0.00014665666,0.0002989294],"domain_scores_gemma":[0.99854577,0.00070621993,0.00027644105,0.0001239188,0.00008548958,0.0002622523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016940903,0.00051100727,0.00074349734,0.0003888167,0.0013083029,0.002457889,0.00063900475,0.0014420466,0.009667952],"category_scores_gemma":[0.003111754,0.0002295529,0.00090390275,0.0005716338,0.0025050568,0.003436544,0.0016927384,0.0010784875,0.00039375664],"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":[0.0003420681,0.00008317421,0.0017954557,0.00023021734,0.000048436916,0.00049536146,0.00034042724,0.04148662,0.0021996263,0.92903197,0.0012740195,0.022672577],"study_design_scores_gemma":[0.00015425669,0.00041151044,0.0023105352,0.00009822437,0.000074066185,0.00040105937,0.00113972,0.15151523,0.0019095149,0.8359602,0.0059627797,0.00006281656],"about_ca_topic_score_codex":0.0051290425,"about_ca_topic_score_gemma":0.0033816453,"teacher_disagreement_score":0.009667952,"about_ca_system_score_codex":0.0017469623,"about_ca_system_score_gemma":0.001486703,"threshold_uncertainty_score":0.032342553},"labels":[],"label_agreement":null},{"id":"W2496912349","doi":"10.18848/2325-1166/cgp/v09i01/55342","title":"Genuine Wealth Growth Rates across Canada from 1997 to 2008","year":2013,"lang":"en","type":"article","venue":"The International Journal of Sustainability Policy and Practice","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"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; Economic geography; Geography","score_opus":0.021193126753525623,"score_gpt":0.29734152734923486,"score_spread":0.2761484005957092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2496912349","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":[0.75005394,0.0082656,0.00055167143,0.007685713,0.0002155986,0.00005042043,0.20401429,0.0003054576,0.028857246],"genre_scores_gemma":[0.93658155,0.0028589955,0.0005677192,0.00038523405,0.00005561527,0.000028518769,0.039938204,0.0000495038,0.01953475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901855,0.000030031691,0.00007053172,0.00009770876,0.0004001872,0.0003830876],"domain_scores_gemma":[0.99397683,0.00019239415,0.0009943218,0.000108125154,0.004080142,0.0006481733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007854354,0.00036017966,0.00038518317,0.004291371,0.0016948687,0.0025985776,0.00077233504,0.00052873633,0.003821498],"category_scores_gemma":[0.0042824824,0.00026234487,0.00053136883,0.009709604,0.0005073337,0.0010257659,0.0014220468,0.0010540315,0.00064438133],"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":[0.0004724618,0.000053956082,0.82559556,0.0003092862,0.0002965022,0.00044809602,0.0022207329,0.0025750143,0.00026890324,0.009885782,0.09867458,0.05919921],"study_design_scores_gemma":[0.000009357675,0.0000147472065,0.95124614,0.00011097882,0.000045989247,0.000101788144,0.0013233918,0.0011037114,0.00023355131,0.000273157,0.045500256,0.000036910817],"about_ca_topic_score_codex":0.9943656,"about_ca_topic_score_gemma":0.9967085,"teacher_disagreement_score":0.037154146,"about_ca_system_score_codex":0.037154146,"about_ca_system_score_gemma":0.05164794,"threshold_uncertainty_score":0.26957345},"labels":[],"label_agreement":null},{"id":"W2503358427","doi":"10.1093/0195168755.001.0001","title":"Transforming the Twentieth Century: Volume 2: Technical Innovations and Their Consequences","year":2006,"lang":"en","type":"book","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Consumption (sociology); Engineering; Civilization; Electricity; Industrial Revolution; Manufacturing engineering; Economy; Business; Political science; Economics; Electrical engineering; Law; Sociology; Social science","score_opus":0.025403506156655705,"score_gpt":0.20172607293906708,"score_spread":0.17632256678241137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2503358427","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005124515,0.23126622,0.002485155,0.03201744,0.012059942,0.00003746675,0.00020658797,0.000096195916,0.7167065],"genre_scores_gemma":[0.070681736,0.20020483,0.002204897,0.011452822,0.009163157,0.00007647588,0.0003206595,0.00023134936,0.70566404],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994387,0.000112652946,0.000021406202,0.00006159711,0.00030498556,0.00006055851],"domain_scores_gemma":[0.9994149,0.0002812755,0.000058354748,0.000053383308,0.00014619168,0.00004581872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044119766,0.0005804045,0.00032416536,0.0016332926,0.0013309454,0.0070256703,0.0005010723,0.001520937,0.013102403],"category_scores_gemma":[0.0013493816,0.00019237511,0.0002669595,0.0030781515,0.0031168747,0.0046522515,0.0015884504,0.0022179815,0.0028942423],"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":[0.000017440025,0.000040247414,0.00041070787,0.00034144364,0.000008819903,0.00017853816,0.0026938582,0.00062989315,0.000346096,0.5364975,0.35661253,0.10222287],"study_design_scores_gemma":[0.0000013252074,0.000004643528,0.00033651752,0.00021773533,0.0000012305389,0.00007813156,0.0003804099,0.00006084347,0.000077467674,0.021820894,0.9770165,0.000004402504],"about_ca_topic_score_codex":0.003124468,"about_ca_topic_score_gemma":0.005209882,"teacher_disagreement_score":0.013102403,"about_ca_system_score_codex":0.0032160545,"about_ca_system_score_gemma":0.0016611796,"threshold_uncertainty_score":0.043831944},"labels":[],"label_agreement":null},{"id":"W2512765189","doi":"10.2139/ssrn.2820864","title":"The Rise of China's Innovation Economy: 'Opening Up' Policy to Manufacturing Maturity, and on to Innovation Based Economic Growth and Labor Market Dynamics?","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Lambton College","funders":"","keywords":"China; Context (archaeology); Innovation economics; Economics; Industrial organization; Argument (complex analysis); Maturity (psychological); Business; Economic system; Market economy; Political science","score_opus":0.007285955105397018,"score_gpt":0.21229063160844447,"score_spread":0.20500467650304746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2512765189","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":[0.6663806,0.0094810985,0.0008493726,0.24863483,0.00069625035,0.000042391417,0.00064240274,0.00009871191,0.073174305],"genre_scores_gemma":[0.98604465,0.0016584386,0.00012948966,0.0048920373,0.00047464107,0.000010458453,0.00005635903,0.0000074414816,0.0067265993],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994868,0.000066987646,0.000025205221,0.000065104425,0.00007734114,0.00027854615],"domain_scores_gemma":[0.99837446,0.0003248434,0.00048784976,0.0000742417,0.00027518193,0.00046337483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013668558,0.00025725356,0.00035627742,0.0007991018,0.0017046323,0.005335672,0.0005681926,0.0031660558,0.008130829],"category_scores_gemma":[0.0027133361,0.00015452022,0.00042078414,0.00087746576,0.0024006846,0.0039910874,0.0015170954,0.0023981028,0.00026638107],"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":[0.00035997713,0.00020250704,0.06671542,0.0004414092,0.00009458838,0.0009951096,0.005724388,0.0019736195,0.0029438732,0.8379908,0.03028509,0.05227331],"study_design_scores_gemma":[0.00018739275,0.00036760682,0.52462894,0.00063738483,0.00016036289,0.00021929693,0.009446572,0.006161286,0.004713056,0.19886895,0.25440782,0.00020137218],"about_ca_topic_score_codex":0.042312022,"about_ca_topic_score_gemma":0.06473718,"teacher_disagreement_score":0.042312022,"about_ca_system_score_codex":0.005429718,"about_ca_system_score_gemma":0.010372869,"threshold_uncertainty_score":0.08413148},"labels":[],"label_agreement":null},{"id":"W2514882229","doi":"10.2139/ssrn.2814011","title":"Firm R&amp;D and Financial Analysis: How Do They Interact?","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"McGill University","funders":"","keywords":"Business; Economics; Financial system","score_opus":0.013750392055683059,"score_gpt":0.20265638956352877,"score_spread":0.1889059975078457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2514882229","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":[0.75890315,0.057698492,0.011812183,0.08299697,0.00088047463,0.00013801757,0.003025883,0.00039447026,0.084150344],"genre_scores_gemma":[0.98319787,0.0059191836,0.0015685562,0.002773452,0.00054837053,0.000043522665,0.000301311,0.0001079366,0.0055397307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99118304,0.005841444,0.00022763303,0.0009816315,0.00086171244,0.00090451445],"domain_scores_gemma":[0.9022606,0.07765998,0.008801023,0.0019428403,0.0039640367,0.0053715263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057203444,0.0011244179,0.0018625169,0.0040882695,0.0013529692,0.010938091,0.0013540135,0.0050726654,0.022455456],"category_scores_gemma":[0.034219448,0.0013061179,0.0016878399,0.0049055293,0.0031997566,0.008122642,0.0036574388,0.0024720032,0.0037734914],"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":[0.000817525,0.0015560543,0.855283,0.00045632944,0.0034433762,0.00082763593,0.0019059406,0.0031219362,0.000995187,0.03184638,0.010398785,0.08934789],"study_design_scores_gemma":[0.00014765552,0.0003770931,0.9085376,0.00067237933,0.0020219751,0.0004578331,0.0055199754,0.0066124178,0.00029666297,0.060792223,0.014352705,0.00021145493],"about_ca_topic_score_codex":0.009822507,"about_ca_topic_score_gemma":0.013903047,"teacher_disagreement_score":0.022455456,"about_ca_system_score_codex":0.0014844806,"about_ca_system_score_gemma":0.0016460088,"threshold_uncertainty_score":0.075120986},"labels":[],"label_agreement":null},{"id":"W2515489971","doi":"10.1111/roiw.12255","title":"Real GDI, Productivity, and the Terms of Trade in Canada","year":2016,"lang":"en","type":"article","venue":"Review of Income and Wealth","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Economics; Total factor productivity; Productivity; Index (typography); National accounts; Price index; Growth accounting; Terms of trade; Multifactor productivity; Gross output; Real gross domestic product; Agricultural economics; International economics; International trade; Macroeconomics; Production (economics)","score_opus":0.015121781860004136,"score_gpt":0.21298905765913403,"score_spread":0.1978672757991299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2515489971","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":[0.6322181,0.07230445,0.0041814847,0.0075396537,0.00031593902,0.00008435721,0.19989304,0.0002998042,0.08316314],"genre_scores_gemma":[0.90769434,0.024944963,0.001957842,0.00021766292,0.00006713943,0.000032468583,0.048576027,0.00005071857,0.016458962],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999106,0.0000383203,0.00004632001,0.00010212784,0.00049371505,0.0002135623],"domain_scores_gemma":[0.997152,0.00022923545,0.0004457419,0.00008007848,0.0017912507,0.00030167223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007474743,0.00043046806,0.0003713332,0.005713644,0.0012584734,0.00258246,0.00075888226,0.00026559873,0.0031786782],"category_scores_gemma":[0.004185315,0.00018795686,0.0004649112,0.01860197,0.00060842955,0.0008074028,0.0007944366,0.0008190047,0.00045624172],"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":[0.00016556843,0.00005154963,0.76551914,0.0006794717,0.00041093363,0.00054646627,0.0015927792,0.008668277,0.0003657402,0.034049165,0.060727224,0.12722363],"study_design_scores_gemma":[0.000010535365,0.000015135189,0.8874948,0.00033098273,0.00010150577,0.00012717041,0.0016394432,0.0052036224,0.00036052533,0.0030340839,0.101608075,0.00007414546],"about_ca_topic_score_codex":0.99412304,"about_ca_topic_score_gemma":0.9934748,"teacher_disagreement_score":0.032817576,"about_ca_system_score_codex":0.032817576,"about_ca_system_score_gemma":0.03274845,"threshold_uncertainty_score":0.23810929},"labels":[],"label_agreement":null},{"id":"W2516168949","doi":"","title":"Transmission intergenerationnelle du revenu : nouvelles donnees pour le Canada","year":2016,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Humanities; Political science; Art","score_opus":0.025714821030603033,"score_gpt":0.23602999879572442,"score_spread":0.21031517776512137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2516168949","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":[0.7356306,0.074468724,0.015893865,0.0073868465,0.00017674225,0.0003020627,0.01902413,0.0001508545,0.14696625],"genre_scores_gemma":[0.9243978,0.0372429,0.007218996,0.00082047144,0.000053721204,0.0001353798,0.004352947,0.00013917845,0.025638454],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997682,0.00048955885,0.00013799228,0.00040719955,0.00091745635,0.00036578107],"domain_scores_gemma":[0.98570585,0.008252131,0.0006804061,0.0009469911,0.0041062906,0.00030836413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051790276,0.0005593451,0.0011149086,0.004012875,0.004071727,0.0042778915,0.0015501213,0.0005833716,0.013532492],"category_scores_gemma":[0.017556021,0.00043150355,0.001046595,0.011165889,0.0020337908,0.0015549437,0.0019865723,0.0012249348,0.00060362223],"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":[0.00071563007,0.00013942357,0.48869854,0.0021665315,0.0015617574,0.0015302319,0.06334157,0.008098196,0.0010046877,0.107384674,0.017078917,0.30827987],"study_design_scores_gemma":[0.00006898418,0.00007603618,0.74588,0.003305439,0.0017067898,0.00073803175,0.034759972,0.0044925315,0.0015236227,0.0124452505,0.19475889,0.0002444452],"about_ca_topic_score_codex":0.9889781,"about_ca_topic_score_gemma":0.99064785,"teacher_disagreement_score":0.035616014,"about_ca_system_score_codex":0.035616014,"about_ca_system_score_gemma":0.041976158,"threshold_uncertainty_score":0.25841343},"labels":[],"label_agreement":null},{"id":"W2521532608","doi":"10.13140/rg.2.1.1963.4167","title":"Demographic Change and Regional Convergence in Canada","year":2016,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"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":"Convergence (economics); Standard of living; Per capita income; Per capita; Economics; Demographic economics; Scale (ratio); Geography; Econometrics; Economic growth; Demography; Population","score_opus":0.03559693207248295,"score_gpt":0.18928435349193826,"score_spread":0.1536874214194553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2521532608","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":[0.9719696,0.0023423906,0.00047652173,0.002901196,0.000041893483,0.000029254648,0.006128793,0.000042408374,0.016067939],"genre_scores_gemma":[0.9952734,0.0008575718,0.00027106964,0.000099400306,0.000006943248,0.0000074595246,0.0015476311,0.0000110364235,0.0019253952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990858,0.000055917626,0.000032576238,0.000110809124,0.00020823764,0.0005066151],"domain_scores_gemma":[0.99565375,0.00025038485,0.00047933395,0.000121304394,0.0027764537,0.00071886345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011234795,0.00022054138,0.0004093838,0.0030361055,0.0033781116,0.0015266888,0.0008871361,0.00032203682,0.004194666],"category_scores_gemma":[0.0051344843,0.0001540947,0.00072350836,0.0055487305,0.00090152194,0.00065143703,0.0016460693,0.00089523086,0.00027977958],"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":[0.00015615682,0.00004560112,0.92927706,0.00010731119,0.00012872592,0.00036039983,0.006022544,0.0054987757,0.000264262,0.011360029,0.00818057,0.038598616],"study_design_scores_gemma":[0.000010140058,0.0000143861125,0.9840131,0.000106045045,0.000036472178,0.00006213298,0.0042562843,0.002674443,0.0001329286,0.00052486965,0.0081419805,0.000027234124],"about_ca_topic_score_codex":0.9982128,"about_ca_topic_score_gemma":0.9984327,"teacher_disagreement_score":0.045533516,"about_ca_system_score_codex":0.045533516,"about_ca_system_score_gemma":0.051107477,"threshold_uncertainty_score":0.3303703},"labels":[],"label_agreement":null},{"id":"W2523638025","doi":"10.5539/ijef.v8n10p103","title":"A Nonlinear Empirical Test on the Stochastic Convergence of Economic Growth: A Case Study of East Asian Economic Community","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Economics; Unit root; Unit root test; Nonlinear system; Econometrics; Per capita; Residual; China; Macroeconomics; Mathematics; Geography; Cointegration","score_opus":0.06095040875501465,"score_gpt":0.2703521504391803,"score_spread":0.20940174168416567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2523638025","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":[0.9790614,0.00013409059,0.017760474,0.00031960505,0.00000979821,0.000034640347,0.00006826142,0.000025070001,0.0025865773],"genre_scores_gemma":[0.99656016,0.000046011894,0.0030105389,0.0000166445,0.000008318486,0.00001707323,0.000093881,0.000005567962,0.00024174376],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964675,0.002499154,0.000113040594,0.0003316806,0.00039367995,0.00019493478],"domain_scores_gemma":[0.97396505,0.020214384,0.0018760457,0.001243188,0.0021310071,0.0005703123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010614917,0.00025312693,0.0005136149,0.0020357303,0.00086851045,0.0009472778,0.000992312,0.0009323237,0.0022436918],"category_scores_gemma":[0.038889036,0.00010353897,0.00059353246,0.0019316862,0.0017254248,0.0022350685,0.001742233,0.00091545243,0.00018830395],"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":[0.0008546002,0.000675608,0.68528575,0.00025504804,0.000337046,0.0057536894,0.0067327004,0.08763101,0.0015591176,0.1077925,0.002970315,0.10015271],"study_design_scores_gemma":[0.000107303385,0.00031831986,0.11758605,0.00006282603,0.000088637185,0.0011705271,0.007772208,0.82980454,0.001375252,0.039594777,0.0020601363,0.000059414288],"about_ca_topic_score_codex":0.006488263,"about_ca_topic_score_gemma":0.0043804417,"teacher_disagreement_score":0.010614917,"about_ca_system_score_codex":0.0007910399,"about_ca_system_score_gemma":0.0007808376,"threshold_uncertainty_score":0.05613774},"labels":[],"label_agreement":null},{"id":"W2524228974","doi":"10.11575/prism/37497","title":"Information technology substitution revisited","year":2014,"lang":"en","type":"article","venue":"Open MIND","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Elasticity of substitution; Substitution (logic); Economics; Econometrics; Capital (architecture); Substitution effect; Microeconomics; Production (economics); Elasticity (physics); Computer science","score_opus":0.029968417158527966,"score_gpt":0.2291352065452097,"score_spread":0.19916678938668173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2524228974","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":[0.0434283,0.031536616,0.3730084,0.04104104,0.0024498622,0.0002825978,0.0030073586,0.00053835014,0.50470746],"genre_scores_gemma":[0.80434424,0.028000109,0.046421383,0.009232313,0.002938673,0.0004951473,0.0016499483,0.0003925333,0.1065257],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99064285,0.0037652839,0.00080152764,0.0016677693,0.0023727063,0.00074982614],"domain_scores_gemma":[0.9747523,0.015221725,0.0019017506,0.0051353294,0.0026206316,0.00036828726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006321148,0.0011146782,0.0018368119,0.004151981,0.0013822253,0.006554959,0.0023779087,0.0038726176,0.037716635],"category_scores_gemma":[0.029723622,0.0006334477,0.0028366041,0.010143245,0.005663299,0.010796956,0.0037095007,0.0042397752,0.0078667],"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":[0.000028906721,0.000017570508,0.002934892,0.00030079612,0.00011329274,0.00037504113,0.00039496092,0.0045590405,0.0001848888,0.94076747,0.0077140997,0.04260904],"study_design_scores_gemma":[0.000021411752,0.000053415228,0.0023412725,0.00042499325,0.00007639887,0.0012103675,0.00037447465,0.008660767,0.0005742503,0.8766412,0.10956842,0.00005303929],"about_ca_topic_score_codex":0.0040518087,"about_ca_topic_score_gemma":0.0026895273,"teacher_disagreement_score":0.037716635,"about_ca_system_score_codex":0.0024505951,"about_ca_system_score_gemma":0.002467963,"threshold_uncertainty_score":0.12617469},"labels":[],"label_agreement":null},{"id":"W2529187128","doi":"10.1111/iere.12182","title":"APPROPRIATE TECHNOLOGY AND INCOME DIFFERENCES","year":2016,"lang":"en","type":"article","venue":"International Economic Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Productivity; Human capital; Economics; Production (economics); Labour economics; Physical capital; Per capita; Per capita income; Relative price; Capital (architecture); Demographic economics; Economic growth; Monetary economics; Microeconomics","score_opus":0.028614338869208618,"score_gpt":0.237661063827407,"score_spread":0.2090467249581984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529187128","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":[0.86765677,0.0053272634,0.0103041055,0.0016802719,0.00009589147,0.000070107075,0.0015323509,0.000060577277,0.11327276],"genre_scores_gemma":[0.9951603,0.0011339248,0.00072285015,0.00008805428,0.00003801073,0.000027246513,0.0003327723,0.000009190004,0.0024877675],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99914384,0.00019094805,0.00008459913,0.00017202467,0.0001834999,0.00022506517],"domain_scores_gemma":[0.99633515,0.001537977,0.0012299417,0.0004202791,0.0002961907,0.0001804379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091127213,0.00032246724,0.00043040424,0.0012664299,0.00042820963,0.0014203179,0.0003054552,0.00039290736,0.00996531],"category_scores_gemma":[0.0065193176,0.000080917394,0.00039469582,0.002410513,0.001162406,0.0015844135,0.0014999898,0.0006687227,0.00084779237],"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":[0.00039953514,0.00033028913,0.28833303,0.0006178824,0.00030989997,0.0019133168,0.0036006826,0.008774329,0.002283151,0.5601526,0.00395992,0.12932532],"study_design_scores_gemma":[0.0001777101,0.00033254075,0.60993034,0.0003830321,0.0001946999,0.0019281384,0.0051675173,0.0030955824,0.0031044292,0.30852643,0.067101836,0.00005768005],"about_ca_topic_score_codex":0.0014193024,"about_ca_topic_score_gemma":0.0010814592,"teacher_disagreement_score":0.00996531,"about_ca_system_score_codex":0.00063257833,"about_ca_system_score_gemma":0.0003752985,"threshold_uncertainty_score":0.033337235},"labels":[],"label_agreement":null},{"id":"W2529234439","doi":"10.5430/ijfr.v7n5p99","title":"Estimation for Production Factors in World Major Economies","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Factor endowment; Endowment; Production (economics); Economics; Idle; Estimation; Factors of production; Econometrics; Economy; International trade; Comparative advantage; Microeconomics; Computer science; Political science","score_opus":0.10890869999061206,"score_gpt":0.3477679896167975,"score_spread":0.23885928962618544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529234439","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":[0.95548034,0.0008043483,0.027565423,0.00013014172,0.000018951923,0.00006858008,0.01253771,0.00020409505,0.003190511],"genre_scores_gemma":[0.972969,0.0003498673,0.011234429,0.000009725759,0.000012418822,0.00008146237,0.014502365,0.000020306074,0.0008204036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994073,0.00013114788,0.000059370217,0.00020863488,0.000101977974,0.00009162578],"domain_scores_gemma":[0.9964862,0.002061965,0.00071391865,0.00027642155,0.0003409316,0.00012057653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013477902,0.00065112766,0.0005231505,0.0044059656,0.00023003094,0.0010391264,0.00028743804,0.00040439703,0.0028680393],"category_scores_gemma":[0.0072537726,0.00027627457,0.0013128357,0.0048384867,0.00029369438,0.0009881636,0.0006078166,0.0006010666,0.0009377688],"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":[0.00010227143,0.000053890788,0.94066405,0.00007495408,0.0002618336,0.00015846152,0.0002169561,0.017666917,0.0006474748,0.0027631873,0.0015818689,0.035808057],"study_design_scores_gemma":[0.000018083001,0.00012822848,0.9448866,0.00006258411,0.00010979832,0.00017562714,0.0010947372,0.040293604,0.0016155023,0.004386849,0.007183373,0.000044930774],"about_ca_topic_score_codex":0.015440166,"about_ca_topic_score_gemma":0.005880324,"teacher_disagreement_score":0.015440166,"about_ca_system_score_codex":0.0006512738,"about_ca_system_score_gemma":0.00080490654,"threshold_uncertainty_score":0.030700564},"labels":[],"label_agreement":null},{"id":"W2532714256","doi":"10.18267/j.polek.1101","title":"Contribution to the Earlier Estimations of Quarterly National Accounts","year":2016,"lang":"cs","type":"article","venue":"Politická ekonomie","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); National accounts; Czech; Estimation; Econometrics; Reliability (semiconductor); Computer science; Publishing; Economics; Operations research; Macroeconomics; Mathematics; Geography; Political science","score_opus":0.02699373250936028,"score_gpt":0.24169587739265064,"score_spread":0.21470214488329037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2532714256","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":[0.06490283,0.07337403,0.5644406,0.021940676,0.013677385,0.0006944845,0.03660293,0.0034793478,0.22088763],"genre_scores_gemma":[0.5899198,0.03939508,0.29821712,0.0013165694,0.0060691037,0.00046153716,0.019621672,0.0012710431,0.043728057],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9875777,0.0045384704,0.0010885748,0.0017712192,0.0047476087,0.00027653694],"domain_scores_gemma":[0.9620614,0.012933017,0.0022675595,0.0073480285,0.014760106,0.0006299185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009133984,0.0006393492,0.00070176733,0.006789774,0.0007268016,0.005446913,0.0013653537,0.0006426858,0.014614887],"category_scores_gemma":[0.087228894,0.00043449688,0.0011444727,0.008948238,0.0009044916,0.0035864573,0.0020866562,0.0021381706,0.005006114],"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":[0.000108585664,0.00014613639,0.058363177,0.0014635306,0.0004689731,0.00013510458,0.0011304306,0.012359933,0.00091714534,0.16994707,0.10216672,0.65279317],"study_design_scores_gemma":[0.000021251093,0.00007197823,0.079423405,0.0010919552,0.0002670898,0.00039599813,0.000763064,0.020323554,0.0023267122,0.041020367,0.8541428,0.00015183772],"about_ca_topic_score_codex":0.025499992,"about_ca_topic_score_gemma":0.009562519,"teacher_disagreement_score":0.025499992,"about_ca_system_score_codex":0.0033894258,"about_ca_system_score_gemma":0.005469622,"threshold_uncertainty_score":0.050703168},"labels":[],"label_agreement":null},{"id":"W2533119514","doi":"10.1111/caje.12211","title":"Demographic change, human capital accumulation and R&amp;D‐based growth","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science London","keywords":"Subsidy; Human capital; Life expectancy; Economics; Endogenous growth theory; Overlapping generations model; Affect (linguistics); Growth model; Fertility; Labour economics; Economic growth; Microeconomics; Psychology; Market economy; Population; Sociology; Demography","score_opus":0.24543583761698293,"score_gpt":0.20641488846162193,"score_spread":0.039020949155361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2533119514","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":[0.92143077,0.0011920735,0.041409194,0.0036725192,0.000051451116,0.00009318885,0.0017767715,0.00008738751,0.030286739],"genre_scores_gemma":[0.99107426,0.00062025833,0.0009679169,0.00007528679,0.000018016948,0.000025601927,0.00015408047,0.000003873313,0.007060705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999749,0.00007872559,0.000012289131,0.00004757503,0.000037637026,0.000074739175],"domain_scores_gemma":[0.9983677,0.00064416224,0.0005800765,0.00007870008,0.000120411416,0.00020886735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010259565,0.00026795734,0.00022176838,0.00051262445,0.000348577,0.0012774196,0.00037756196,0.0006997782,0.005275901],"category_scores_gemma":[0.0026676496,0.00017530608,0.00036818368,0.00067540474,0.00076749385,0.0009338345,0.00065760914,0.0006166165,0.0005014304],"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":[0.00027011335,0.0002981473,0.22050852,0.00011847626,0.0001474333,0.0009137621,0.00058886147,0.54100686,0.0032086407,0.18310483,0.0036587259,0.04617562],"study_design_scores_gemma":[0.00012231176,0.0005168424,0.22692476,0.00013934552,0.00018750363,0.00064130576,0.00088809006,0.5969795,0.0032968947,0.14734122,0.022857305,0.00010492333],"about_ca_topic_score_codex":0.012475205,"about_ca_topic_score_gemma":0.01042941,"teacher_disagreement_score":0.012475205,"about_ca_system_score_codex":0.0016213591,"about_ca_system_score_gemma":0.0009802212,"threshold_uncertainty_score":0.024805129},"labels":[],"label_agreement":null},{"id":"W2540069054","doi":"","title":"Positive and Negative Effects of Research and Development","year":2016,"lang":"en","type":"article","venue":"DergiPark (Istanbul University)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":27,"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":"Psychology","score_opus":0.030632712926829737,"score_gpt":0.20966764418991746,"score_spread":0.17903493126308773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2540069054","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":[0.88241637,0.009848746,0.0012569556,0.0071973884,0.00028884405,0.000044471326,0.008241925,0.00013616405,0.0905691],"genre_scores_gemma":[0.9915742,0.0018206201,0.00019089518,0.00030989718,0.00012074586,0.000018000852,0.0011357773,0.000011523557,0.004818324],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9957508,0.0011486231,0.0003602405,0.0005849996,0.001085119,0.0010702024],"domain_scores_gemma":[0.9764558,0.009158896,0.009542436,0.00084578723,0.0016393535,0.0023577216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018748092,0.00035801812,0.00040808145,0.0026980937,0.0005366305,0.002491315,0.0002953387,0.00056000333,0.011905846],"category_scores_gemma":[0.009235569,0.00017779192,0.0006587489,0.0035484252,0.0014064172,0.0013715489,0.001784106,0.001048727,0.0012462812],"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":[0.00026927138,0.000112135596,0.95706713,0.00023861171,0.00044218215,0.00046647032,0.0002359837,0.0007905146,0.0007486801,0.01210176,0.0037801776,0.023747174],"study_design_scores_gemma":[0.000010771978,0.00009022733,0.98008794,0.00008535345,0.000182475,0.00035278703,0.00071762316,0.00033077187,0.0005547997,0.0015202329,0.016048871,0.00001811967],"about_ca_topic_score_codex":0.006477762,"about_ca_topic_score_gemma":0.0077557643,"teacher_disagreement_score":0.011905846,"about_ca_system_score_codex":0.0011943175,"about_ca_system_score_gemma":0.0016773791,"threshold_uncertainty_score":0.039829016},"labels":[],"label_agreement":null},{"id":"W2541448141","doi":"10.17016/2380-7172.1538","title":"Residual Seasonality in GDP","year":2015,"lang":"en","type":"preprint","venue":"FEDS Notes","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Seasonality; Residual; Quarter (Canadian coin); Econometrics; Economics; Seasonal adjustment; Geography; Statistics; Mathematics","score_opus":0.11336626743455491,"score_gpt":0.26639605569286495,"score_spread":0.15302978825831004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2541448141","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":[0.8406504,0.003967336,0.030766737,0.013831023,0.0019397528,0.00007144828,0.047553603,0.0019663742,0.05925343],"genre_scores_gemma":[0.97819716,0.00038856643,0.0015885511,0.00052418764,0.00022023919,0.000022187989,0.012856061,0.00021351893,0.005989435],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982468,0.00021968014,0.00018708754,0.00057465315,0.00047209355,0.00029974213],"domain_scores_gemma":[0.9924636,0.0019218152,0.0017276652,0.0018853863,0.0017379299,0.00026348134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026730201,0.00022810005,0.0004631403,0.0012225128,0.00030151592,0.0017198847,0.00037561046,0.00053322886,0.0035955068],"category_scores_gemma":[0.017542096,0.00017404692,0.00037490836,0.0025053823,0.0005349459,0.0009163154,0.00078218,0.001324307,0.0015278305],"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":[0.00088056264,0.0001256884,0.61908704,0.0006422973,0.00044119742,0.0009544763,0.0018590505,0.014964595,0.008876667,0.06853863,0.13713129,0.14649864],"study_design_scores_gemma":[0.00003021278,0.00012483714,0.8262761,0.0002177377,0.000103944876,0.0005934007,0.00070610084,0.020670231,0.0058645746,0.033715583,0.111619174,0.000078023695],"about_ca_topic_score_codex":0.009602394,"about_ca_topic_score_gemma":0.01105325,"teacher_disagreement_score":0.009602394,"about_ca_system_score_codex":0.00086808763,"about_ca_system_score_gemma":0.00057638175,"threshold_uncertainty_score":0.019093037},"labels":[],"label_agreement":null},{"id":"W2551403525","doi":"10.2139/ssrn.4549066","title":"Advertising, Innovation and Economic Growth","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Advertising; Business; Marketing","score_opus":0.014810311875056615,"score_gpt":0.2125946418942223,"score_spread":0.1977843300191657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2551403525","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":[0.7059904,0.08015537,0.0028761744,0.024860803,0.0008680711,0.000028312565,0.0013308767,0.00015655685,0.18373358],"genre_scores_gemma":[0.96165675,0.015394768,0.00023336153,0.00043762338,0.0011508134,0.000007434476,0.00024171546,0.000013121185,0.020864341],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967575,0.00013133934,0.000020859809,0.00004373436,0.000067306115,0.00006097377],"domain_scores_gemma":[0.98746383,0.009902188,0.0014223972,0.00017765872,0.0004527727,0.0005812176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010221116,0.000283803,0.00043672472,0.0018179198,0.0003725665,0.0036872118,0.0002075011,0.0015721567,0.014362361],"category_scores_gemma":[0.0076674162,0.00012500689,0.00028571155,0.0024058656,0.00085565966,0.0020459439,0.00052653154,0.0010515883,0.0014840998],"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":[0.0012381512,0.001601807,0.44911712,0.001079357,0.0005090131,0.0020793772,0.0015252391,0.01730292,0.0015184097,0.2635956,0.04118503,0.21924795],"study_design_scores_gemma":[0.00019704801,0.0005220349,0.5006136,0.00059968035,0.0007387656,0.0015258687,0.0033919236,0.02425633,0.0011037102,0.4054471,0.06147987,0.00012408772],"about_ca_topic_score_codex":0.006736,"about_ca_topic_score_gemma":0.0066832434,"teacher_disagreement_score":0.014362361,"about_ca_system_score_codex":0.0010494831,"about_ca_system_score_gemma":0.0008852215,"threshold_uncertainty_score":0.048046887},"labels":[],"label_agreement":null},{"id":"W2556322161","doi":"","title":"Industrial Policy for a Green Economy","year":2013,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"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":"Business; Economy; Economics","score_opus":0.07346344990648837,"score_gpt":0.22200657519422898,"score_spread":0.1485431252877406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2556322161","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":[0.0020112714,0.00922422,0.0043770857,0.3036949,0.0037567979,0.000042311458,0.00022963298,0.00015688503,0.6765068],"genre_scores_gemma":[0.19532943,0.016439486,0.009847633,0.20111634,0.005165305,0.00035399196,0.0007192349,0.00030258778,0.57072604],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99652004,0.0010611546,0.00009039111,0.0005211931,0.0010900719,0.00071713305],"domain_scores_gemma":[0.99684286,0.00080911606,0.00020377405,0.0005813824,0.0009932561,0.00056965597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051438967,0.00058413524,0.000530765,0.0012988355,0.0046435054,0.009158781,0.0009413541,0.011023277,0.044923253],"category_scores_gemma":[0.009999824,0.00025711354,0.0007636976,0.0017134715,0.0048521673,0.0060233762,0.004597692,0.008483507,0.011173363],"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":[0.000012615484,0.000026924554,0.00013274957,0.00003169089,0.000004828389,0.000024114954,0.000116688454,0.00022336649,0.000056815956,0.86918855,0.11779004,0.012391581],"study_design_scores_gemma":[0.000012301565,0.000011649788,0.00026312118,0.00018775178,0.000003221787,0.000022160288,0.00019116822,0.00017826946,0.00007713023,0.19229423,0.8067531,0.0000059366957],"about_ca_topic_score_codex":0.00980985,"about_ca_topic_score_gemma":0.0117151495,"teacher_disagreement_score":0.044923253,"about_ca_system_score_codex":0.00632057,"about_ca_system_score_gemma":0.015838046,"threshold_uncertainty_score":0.15028322},"labels":[],"label_agreement":null},{"id":"W2558254657","doi":"10.2791/97641","title":"Advanced Manufacturing Activities of Top R&D investors: Geographical and Technological Patterns","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Context (archaeology); Profitability index; European commission; Industrial organization; Business; Productivity; Investment (military); European union; Modernization theory; Position (finance); Economics; International trade; Finance; Economic growth; Political science","score_opus":0.034530101789955255,"score_gpt":0.2661017603969248,"score_spread":0.23157165860696954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2558254657","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":[0.9789058,0.0012799002,0.0010362477,0.00034641364,0.0000074770064,0.000050377825,0.00069052743,0.000022207852,0.017661082],"genre_scores_gemma":[0.99677026,0.00044122388,0.00038084463,0.000033798322,0.000009021497,0.000014750418,0.0002795343,0.000004420591,0.0020660765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99775165,0.000299218,0.00020071003,0.00035201144,0.000724578,0.0006718307],"domain_scores_gemma":[0.99244845,0.0027441066,0.0024330225,0.00025858704,0.0014412192,0.00067453313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023680078,0.00015819108,0.0003919695,0.0051956694,0.00040264946,0.0033171568,0.00059830945,0.00065229903,0.0040465165],"category_scores_gemma":[0.0074810097,0.00013209789,0.00032110515,0.005176031,0.0005047089,0.0015782581,0.0016182539,0.00035601735,0.0011813055],"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":[0.0003798387,0.00015635099,0.8624524,0.00019137349,0.00009964789,0.0007524541,0.005490352,0.001319153,0.0030384923,0.011518176,0.0015548314,0.11304691],"study_design_scores_gemma":[0.000020793681,0.00015588109,0.97477144,0.000091227594,0.00006059163,0.00057787914,0.009115159,0.0027379713,0.0013446347,0.002178544,0.008921597,0.000024350811],"about_ca_topic_score_codex":0.004294979,"about_ca_topic_score_gemma":0.0041424907,"teacher_disagreement_score":0.0051956694,"about_ca_system_score_codex":0.001179288,"about_ca_system_score_gemma":0.0008870668,"threshold_uncertainty_score":0.01353699},"labels":[],"label_agreement":null},{"id":"W2561566614","doi":"10.5430/ijfr.v8n1p112","title":"The Economic Geography of Human Capital in Twentieth-Century Latin America","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Human capital; Latin Americans; Human Development Index; Life expectancy; Per capita; Per capita income; Population; Geography; Gross domestic product; Welfare; Education economics; Economic growth; Indigenous; Development economics; Demographic economics; Higher education; Demography; Political science; Human development (humanity); Economics; Comparative education; Sociology","score_opus":0.04565790347178078,"score_gpt":0.3145907755301842,"score_spread":0.26893287205840344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561566614","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":[0.9770229,0.0041509136,0.0003674499,0.0011560201,0.000016612179,0.000008507943,0.00076504005,0.000014445581,0.016498145],"genre_scores_gemma":[0.99741286,0.0009405255,0.00009281432,0.00005746376,0.00002058762,0.00000857733,0.0004527077,0.00000541823,0.0010090934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968374,0.000062177576,0.000014679037,0.000049676877,0.000037065874,0.00015269178],"domain_scores_gemma":[0.9983865,0.0003007517,0.0007417916,0.00008251268,0.00020835997,0.0002799579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005684911,0.000194729,0.00022562296,0.0030894438,0.00059147854,0.0015410241,0.00022856615,0.00020543917,0.0030114325],"category_scores_gemma":[0.0027456407,0.00007180142,0.00032148007,0.0047877613,0.0009058905,0.0009449031,0.0014583896,0.00042401286,0.0002076838],"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":[0.000046547706,0.000025993257,0.9773336,0.000054803466,0.000082004044,0.00025309998,0.003425578,0.00081276544,0.00036417492,0.005643524,0.0005526791,0.011405163],"study_design_scores_gemma":[0.000002156842,0.000010327852,0.99394256,0.000023512303,0.000007978736,0.00006484882,0.0018226084,0.000106180436,0.00005340106,0.0004925078,0.0034698697,0.000004123345],"about_ca_topic_score_codex":0.05902998,"about_ca_topic_score_gemma":0.055921506,"teacher_disagreement_score":0.05902998,"about_ca_system_score_codex":0.0010291056,"about_ca_system_score_gemma":0.00061833346,"threshold_uncertainty_score":0.11737281},"labels":[],"label_agreement":null},{"id":"W2565609175","doi":"","title":"Technická analýza měnového kurzu u rozvinuté versus rozvíjející se ekonomiky a její rozšíření o fundamentální faktory","year":2015,"lang":"cs","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Economic Growth and Productivity","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":"Physics; Theology; Humanities; Philosophy","score_opus":0.029226890698621884,"score_gpt":0.25516689699585837,"score_spread":0.22594000629723648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565609175","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":[0.25297117,0.011272323,0.5381359,0.005637098,0.0012342928,0.0005610226,0.00747253,0.002638555,0.1800771],"genre_scores_gemma":[0.76418704,0.014534599,0.15620273,0.00031952027,0.00042657854,0.0005210559,0.0051345024,0.001087879,0.05758595],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869496,0.00032324644,0.00010996377,0.00021764832,0.00054507516,0.00010914214],"domain_scores_gemma":[0.9961289,0.0020865651,0.00036128607,0.00049481326,0.00084454566,0.00008388452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025037692,0.0005601403,0.00079400785,0.0029146164,0.0005883814,0.0049918457,0.00071629044,0.0007119414,0.025220858],"category_scores_gemma":[0.008940815,0.00038853197,0.001136974,0.0037734716,0.0008143014,0.0026791885,0.0012754477,0.001346111,0.007345294],"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":[0.00029761632,0.00026364077,0.050552584,0.0024801763,0.00025528704,0.00058141333,0.0034455077,0.055029374,0.010286758,0.19964637,0.030283831,0.6468774],"study_design_scores_gemma":[0.00008663589,0.0006273723,0.1406658,0.0025190818,0.000469752,0.0015938206,0.008524626,0.19541992,0.029437156,0.26629928,0.35406694,0.00028954798],"about_ca_topic_score_codex":0.0019184722,"about_ca_topic_score_gemma":0.0017737867,"teacher_disagreement_score":0.025220858,"about_ca_system_score_codex":0.0010942828,"about_ca_system_score_gemma":0.0015133296,"threshold_uncertainty_score":0.08437222},"labels":[],"label_agreement":null},{"id":"W2565649801","doi":"10.1596/1813-9450-7928","title":"Emerging Economies' versus Advanced Countries' Investment Impact in Africa","year":2016,"lang":"en","type":"book","venue":"World Bank, Washington, DC eBooks","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"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":"Investment (military); Emerging markets; Economics; Development economics; Business; Political science; Macroeconomics; Politics","score_opus":0.02593752170408087,"score_gpt":0.2300567528288552,"score_spread":0.20411923112477434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565649801","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":[0.9603159,0.008283119,0.00027978103,0.0017827374,0.000030868432,0.000005981282,0.0013527164,0.0000065050594,0.027942372],"genre_scores_gemma":[0.990965,0.0069326586,0.00009904508,0.00008154875,0.000026863523,0.0000033309748,0.0003818954,0.000003878356,0.0015058671],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998197,0.00004291751,0.000010441464,0.000026880945,0.00003334275,0.000066642235],"domain_scores_gemma":[0.99894744,0.00032235496,0.00042667886,0.00003401123,0.00016123659,0.00010831594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044650814,0.00019276013,0.00015941866,0.0011040821,0.00016291092,0.0010936622,0.000106235406,0.00015420376,0.002341098],"category_scores_gemma":[0.0023021486,0.00007135203,0.00015166165,0.002873345,0.0003819247,0.0011193681,0.0007433518,0.00042518548,0.0002144528],"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":[0.00026782195,0.00007814836,0.8339767,0.0003797174,0.00015831542,0.0015068513,0.0037181713,0.008666705,0.001107662,0.033218633,0.005925296,0.11099602],"study_design_scores_gemma":[0.00001496953,0.0000570163,0.9656972,0.0004949124,0.00006719263,0.00031605366,0.0034872098,0.0012421994,0.000636154,0.0040434618,0.023931637,0.000011932541],"about_ca_topic_score_codex":0.008246094,"about_ca_topic_score_gemma":0.012740437,"teacher_disagreement_score":0.008246094,"about_ca_system_score_codex":0.0005644318,"about_ca_system_score_gemma":0.00043934403,"threshold_uncertainty_score":0.016396165},"labels":[],"label_agreement":null},{"id":"W2567686134","doi":"10.1111/1467-8454.12112","title":"Technological Progress and Sectoral Shares","year":2018,"lang":"en","type":"article","venue":"Australian Economic Papers","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Economics; Monopoly; Oligopoly; Relative price; Productivity; Technological change; Competition (biology); Price elasticity of demand; Technical change; Microeconomics; Industrial organization; Macroeconomics; Cournot competition","score_opus":0.041653548582160964,"score_gpt":0.24101050529756685,"score_spread":0.19935695671540588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2567686134","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":[0.9529165,0.0005920667,0.004527652,0.0005468134,0.000020322163,0.00002089673,0.0014606689,0.00006592757,0.03984904],"genre_scores_gemma":[0.9957308,0.00021618478,0.0003556451,0.000013816818,0.000017566237,0.0000065922786,0.00037498772,0.000012273964,0.0032721066],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988746,0.00021058247,0.00008685003,0.00021854593,0.0003607002,0.0002487556],"domain_scores_gemma":[0.98754543,0.004751265,0.0033683497,0.0017771043,0.0019827017,0.0005751274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014553033,0.00019836021,0.0002815521,0.0018219904,0.0003262485,0.0023443196,0.00044657392,0.00032518213,0.00838282],"category_scores_gemma":[0.012404995,0.00015794359,0.0003203383,0.003446934,0.00089201744,0.002664831,0.0011935624,0.00045757776,0.001453224],"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":[0.00078891794,0.00015325964,0.49050134,0.00027338244,0.0003783422,0.0009483652,0.0029818248,0.09158548,0.016541354,0.26217264,0.002572538,0.13110253],"study_design_scores_gemma":[0.000087831024,0.0003602559,0.65783477,0.000107576896,0.00015175174,0.0015697486,0.003268475,0.0424047,0.013537236,0.22376944,0.056820687,0.00008757166],"about_ca_topic_score_codex":0.0014179662,"about_ca_topic_score_gemma":0.001069461,"teacher_disagreement_score":0.00838282,"about_ca_system_score_codex":0.0011009392,"about_ca_system_score_gemma":0.0005560354,"threshold_uncertainty_score":0.02804333},"labels":[],"label_agreement":null},{"id":"W2568518252","doi":"","title":"Sectores económicos de potencial aplicación de las patentes de nanotecnologías en México","year":2016,"lang":"es","type":"article","venue":"Redalyc (Universidad Autónoma del Estado de México)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Concordance; Welfare economics; Economic sector; Order (exchange); Business; Political science; Humanities; Economics; Economy; Finance; Biology","score_opus":0.016350830451992922,"score_gpt":0.20905014830855703,"score_spread":0.1926993178565641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2568518252","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":[0.98548144,0.0017129,0.0005347027,0.00048118105,0.000016294754,0.000019222962,0.0028668873,0.00003480251,0.008852634],"genre_scores_gemma":[0.9943798,0.0016718437,0.00038290492,0.00001880389,0.000035702134,0.000020096531,0.0019696578,0.0000053874974,0.0015158474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996007,0.000068462876,0.00002509878,0.000089163754,0.000099321005,0.000117226125],"domain_scores_gemma":[0.9970464,0.0011662093,0.0012252824,0.000118877826,0.00037003838,0.00007325065],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0011521917,0.00020924608,0.00033031235,0.0027600073,0.00045485195,0.0013249171,0.00028034378,0.00037077538,0.002300898],"category_scores_gemma":[0.004151567,0.000114994655,0.00038066864,0.003043406,0.00032576395,0.0004929911,0.0006016183,0.00041171795,0.0001671246],"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":[0.0002768575,0.00013611693,0.90903574,0.00028675704,0.00016533255,0.00062265736,0.0011353921,0.005076708,0.0009746582,0.0098878825,0.0044589355,0.06794297],"study_design_scores_gemma":[0.000028742637,0.000043269538,0.9757622,0.00009888527,0.00015973518,0.00022156358,0.0009448223,0.004990056,0.00046359966,0.0008901304,0.016383665,0.000013313238],"about_ca_topic_score_codex":0.09764784,"about_ca_topic_score_gemma":0.040964965,"teacher_disagreement_score":0.99724,"about_ca_system_score_codex":0.002532066,"about_ca_system_score_gemma":0.0009124446,"threshold_uncertainty_score":0.19415897},"labels":[],"label_agreement":null},{"id":"W2570385297","doi":"10.2139/ssrn.2891810","title":"Identification-Robust Moment-Based Tests for Markov-Switching in Autoregressive Models","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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 Laval; McGill University","funders":"","keywords":"Autoregressive model; Moment (physics); Identification (biology); Markov chain; Econometrics; STAR model; Computer science; Mathematics; Statistics; Artificial intelligence; Autoregressive integrated moving average; Time series; Physics","score_opus":0.031443964338256906,"score_gpt":0.2334451044172268,"score_spread":0.20200114007896988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2570385297","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":[0.28372365,0.00046848512,0.70833766,0.000791315,0.00014953718,0.00018701797,0.0010686906,0.0019760807,0.0032975422],"genre_scores_gemma":[0.96016145,0.0001625805,0.036322042,0.00012229588,0.00012655636,0.00019183209,0.0015594092,0.0001535437,0.0012003591],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9832602,0.011792348,0.00083367334,0.0020830538,0.0010025015,0.001028238],"domain_scores_gemma":[0.6390716,0.33786434,0.010276609,0.008175641,0.0027732204,0.0018385267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02184652,0.0012542915,0.0029921888,0.0034158586,0.001065771,0.002335277,0.0027090053,0.0023201816,0.012242301],"category_scores_gemma":[0.14172125,0.00096267293,0.003036465,0.001897991,0.0019542463,0.0036867845,0.0028753716,0.0032265196,0.0011952376],"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":[0.005134164,0.0014587411,0.08495572,0.00095611083,0.005097886,0.0012979968,0.00095159106,0.46873662,0.0066740317,0.19042245,0.0072058756,0.22710879],"study_design_scores_gemma":[0.00036323254,0.0005563946,0.011256513,0.00006838945,0.00029194265,0.0001676719,0.00020135485,0.8898902,0.0021496539,0.09420374,0.0007398585,0.00011103244],"about_ca_topic_score_codex":0.00228612,"about_ca_topic_score_gemma":0.0020976928,"teacher_disagreement_score":0.02184652,"about_ca_system_score_codex":0.0008383145,"about_ca_system_score_gemma":0.0030133214,"threshold_uncertainty_score":0.11553681},"labels":[],"label_agreement":null},{"id":"W2573919320","doi":"10.32609/0042-8736-2016-9-67-93","title":"International differences in labor productivity: Role of capital, technological level and resource rent","year":2016,"lang":"en","type":"article","venue":"Voprosy Ekonomiki","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Per capita; Lagging; Labour economics; Capital (architecture); Gross domestic product; Human capital; Population; Demographic economics; Economic growth; Geography","score_opus":0.03558456367983678,"score_gpt":0.2000101784445486,"score_spread":0.16442561476471182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2573919320","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":[0.961029,0.0014723407,0.0092023015,0.00025430328,0.000038081245,0.00003913145,0.0028057094,0.00008411719,0.025075154],"genre_scores_gemma":[0.99587613,0.00037370625,0.0011288202,0.000009215823,0.000014519975,0.00001504889,0.0012339648,0.000008446405,0.0013402452],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993424,0.0001296965,0.000064191445,0.00011888166,0.00021005573,0.00013477662],"domain_scores_gemma":[0.99834263,0.00073335465,0.0005409814,0.00017940403,0.00013466156,0.00006893219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009609826,0.00022259669,0.00031240814,0.0020607726,0.00023032195,0.0013730746,0.00026727404,0.00019308666,0.0022293865],"category_scores_gemma":[0.0029754017,0.000113897346,0.0004977842,0.0039551836,0.00040327583,0.00065617834,0.00075539085,0.00040144866,0.00033390246],"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":[0.0001231493,0.00006516657,0.8888149,0.00013848425,0.00036052035,0.0004263476,0.0010895451,0.0110134585,0.0010973968,0.03957962,0.0011393544,0.056151997],"study_design_scores_gemma":[0.0000067259402,0.0000766107,0.9754875,0.000047762493,0.00008999801,0.00023209253,0.000815419,0.0075168833,0.0009939598,0.0072064735,0.0075048353,0.000021779686],"about_ca_topic_score_codex":0.0054040337,"about_ca_topic_score_gemma":0.0032409672,"teacher_disagreement_score":0.0054040337,"about_ca_system_score_codex":0.0007860403,"about_ca_system_score_gemma":0.0005400839,"threshold_uncertainty_score":0.010745168},"labels":[],"label_agreement":null},{"id":"W2583404358","doi":"10.1162/asep_a_00490","title":"China's Growth Slowdown and Prospects for Becoming a High-Income Developed Economy","year":2017,"lang":"en","type":"article","venue":"Asian Economic Papers","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Economics; China; Total factor productivity; Industrialisation; Per capita income; Productivity; Human capital; Demographic dividend; Capital accumulation; Development economics; Middle income trap; Capital (architecture); Per capita; Macroeconomics; Economic growth; Market economy; Population; Geography","score_opus":0.019590651388835287,"score_gpt":0.21861847590212674,"score_spread":0.19902782451329146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2583404358","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":[0.95307016,0.0036632805,0.0009341731,0.011309231,0.00009390119,0.000019875006,0.00064912863,0.00007251604,0.030187804],"genre_scores_gemma":[0.99081635,0.0043558073,0.0003367045,0.00032274408,0.00005202595,0.000009876025,0.0003739342,0.000006373377,0.0037261674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997805,0.000022612721,0.000010432733,0.00003228849,0.00007718766,0.0000768953],"domain_scores_gemma":[0.99968505,0.000024248178,0.0000853024,0.000021730622,0.00009337364,0.00009027232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006371393,0.00024093055,0.00018295302,0.0007666843,0.0010136304,0.0019845888,0.0002581538,0.00040817558,0.0018027717],"category_scores_gemma":[0.0005513416,0.0001062955,0.00027616104,0.0014241678,0.00056685274,0.0009966205,0.00089066365,0.0007508694,0.0002576593],"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":[0.00020415107,0.000095460644,0.6657305,0.00051948,0.000099328325,0.0035994775,0.006603786,0.009810388,0.0068416614,0.12526798,0.024527911,0.15669987],"study_design_scores_gemma":[0.00002130923,0.00012117405,0.9061872,0.00016211417,0.0000601311,0.0003832592,0.0047989595,0.007593166,0.0012430595,0.0135173565,0.065852895,0.0000594428],"about_ca_topic_score_codex":0.040919937,"about_ca_topic_score_gemma":0.039786674,"teacher_disagreement_score":0.040919937,"about_ca_system_score_codex":0.0017697597,"about_ca_system_score_gemma":0.004494077,"threshold_uncertainty_score":0.0813635},"labels":[],"label_agreement":null},{"id":"W2584021072","doi":"10.3982/ecta15020","title":"Reconciling Models of Diffusion and Innovation: A Theory of the Productivity Distribution and Technology Frontier","year":2021,"lang":"en","type":"article","venue":"Econometrica","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Excludability; Distribution (mathematics); Incentive; Productivity; Industrial organization; Endogenous growth theory; Economics; Frontier; Diffusion; Microeconomics; Business; Public good; Macroeconomics; Market economy; Mathematics; Human capital","score_opus":0.03139789342856561,"score_gpt":0.1951637637830578,"score_spread":0.1637658703544922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2584021072","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":[0.044713188,0.004060695,0.9001163,0.0079288,0.00015177955,0.00004567173,0.00015552301,0.00020704596,0.042621057],"genre_scores_gemma":[0.92620164,0.0058540218,0.05219024,0.000606804,0.0005488517,0.0002465077,0.00015980419,0.00015051119,0.014041777],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99843854,0.0008452659,0.000042320065,0.0001861117,0.0002721182,0.00021559812],"domain_scores_gemma":[0.99176776,0.006131447,0.00068599236,0.0006213948,0.0004878542,0.00030554677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034330757,0.0011011305,0.001414296,0.00221913,0.0010989353,0.0043643625,0.0023050595,0.0033873306,0.006234933],"category_scores_gemma":[0.015909646,0.00054809224,0.0015935949,0.0028578234,0.0033930666,0.008685108,0.0029643208,0.0025002835,0.0011824544],"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":[0.000014912959,0.00002587529,0.00059370906,0.000043637305,0.00002419643,0.00006702769,0.00018678169,0.07653359,0.00015840412,0.91398984,0.00087971747,0.007482327],"study_design_scores_gemma":[0.000017456108,0.000011911436,0.00019192173,0.000019560057,0.000009659098,0.000034774795,0.00004941623,0.11201783,0.00005983226,0.8853353,0.0022406382,0.000011698997],"about_ca_topic_score_codex":0.0036843822,"about_ca_topic_score_gemma":0.0013447714,"teacher_disagreement_score":0.006234933,"about_ca_system_score_codex":0.002447039,"about_ca_system_score_gemma":0.0015518072,"threshold_uncertainty_score":0.02085799},"labels":[],"label_agreement":null},{"id":"W2586080167","doi":"10.5539/ibr.v10n3p80","title":"Impact on Economic Growth of Technological Progress in the Turkey Economy: Empirical Analysis on Political and Financial Stability Channel","year":2017,"lang":"en","type":"article","venue":"International Business Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Technological change; Economics; Politics; Causality (physics); Turkish; Granger causality; Economic stability; Financial stability; Channel (broadcasting); Economic system; Stability (learning theory); Turkish economy; Macroeconomics; Financial system; Econometrics; Political science; Engineering","score_opus":0.13657567819527136,"score_gpt":0.3886218259450154,"score_spread":0.252046147749744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586080167","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":[0.9966241,0.0002677596,0.0001345031,0.00014953551,0.000006257359,0.000005254952,0.00022441453,0.0000057465454,0.002582424],"genre_scores_gemma":[0.9991049,0.00022112794,0.000028457025,0.000009899969,0.000009906316,0.0000031242766,0.00025272684,0.0000021102528,0.00036763877],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937683,0.00016191267,0.000042178475,0.00009246831,0.00009248039,0.00023420232],"domain_scores_gemma":[0.9951638,0.00261664,0.0012204581,0.00016148108,0.00041740338,0.00042020777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010436778,0.00031331283,0.00034348186,0.001344811,0.00028502158,0.0015094682,0.00022663048,0.000456083,0.0036407907],"category_scores_gemma":[0.0039605205,0.00012551752,0.0006410549,0.0015144965,0.00052944745,0.001081702,0.0009619096,0.0009754875,0.0004136551],"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":[0.0005577056,0.0002892461,0.96490675,0.000113754504,0.0002140167,0.001024258,0.00075034244,0.011069542,0.00084152824,0.0050035,0.0010091618,0.014220278],"study_design_scores_gemma":[0.000014719138,0.00016962455,0.98550236,0.000037145583,0.00015598329,0.00013302181,0.0011736363,0.009840024,0.0006167415,0.0008427152,0.001497489,0.00001646589],"about_ca_topic_score_codex":0.006520726,"about_ca_topic_score_gemma":0.004686498,"teacher_disagreement_score":0.006520726,"about_ca_system_score_codex":0.0007352375,"about_ca_system_score_gemma":0.00087849563,"threshold_uncertainty_score":0.0129655},"labels":[],"label_agreement":null},{"id":"W2587185661","doi":"10.1111/caje.12384","title":"Asset bubbles, labour market frictions and R&amp;D‐based growth","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Economics; Asset (computer security); Economic bubble; Labour economics; Monetary economics","score_opus":0.0966583626418173,"score_gpt":0.16785718431105107,"score_spread":0.07119882166923376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587185661","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":[0.8623814,0.0015901581,0.09083059,0.005097389,0.00011118993,0.000118964235,0.0008311203,0.00019967766,0.03883955],"genre_scores_gemma":[0.99014014,0.00026619827,0.0006959748,0.00004822833,0.00001892045,0.000023466311,0.00004383758,0.000007937911,0.008755325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997044,0.00008758312,0.000016261773,0.000057227466,0.000046026467,0.00008854515],"domain_scores_gemma":[0.9980976,0.00083744194,0.00064355263,0.00008230241,0.000100335594,0.00023878488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009510928,0.00037031298,0.0005505421,0.00054831774,0.0005076015,0.0021609992,0.00070961803,0.0016649939,0.0076617296],"category_scores_gemma":[0.003922963,0.00035324256,0.00049901585,0.0004593567,0.0014332073,0.0017026585,0.0011158607,0.0010971004,0.0004445369],"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":[0.00034258747,0.00021266821,0.035343993,0.00016183635,0.00011322072,0.0016450896,0.0008317384,0.48425367,0.0038999068,0.44586313,0.004221508,0.02311069],"study_design_scores_gemma":[0.00011506688,0.00017789577,0.016310418,0.000067701185,0.00007394309,0.00025362405,0.00040890143,0.7929216,0.00086704147,0.18369757,0.0050299983,0.00007621627],"about_ca_topic_score_codex":0.01369284,"about_ca_topic_score_gemma":0.006411909,"teacher_disagreement_score":0.01369284,"about_ca_system_score_codex":0.0016564676,"about_ca_system_score_gemma":0.00088674354,"threshold_uncertainty_score":0.02722627},"labels":[],"label_agreement":null},{"id":"W2587786232","doi":"10.1007/s00191-017-0546-0","title":"General purpose technologies in theory, application and controversy: a review","year":2017,"lang":"en","type":"review","venue":"Journal of Evolutionary Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":102,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Macro; Process (computing); Neoclassical economics; Economics; Emerging technologies; Computer science; Artificial intelligence","score_opus":0.0562262102613504,"score_gpt":0.2936501782902633,"score_spread":0.2374239680289129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587786232","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010508253,0.9978016,0.0001980784,0.0008775688,0.000171383,0.0000041683434,0.000022233724,0.0000045364036,0.00081533607],"genre_scores_gemma":[0.0011072452,0.9973533,0.00028498378,0.00068536785,0.00033330914,0.000008564067,0.000023278659,0.0000036165043,0.0002002734],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988439,0.0003108051,0.0001823402,0.00020389532,0.00038168297,0.00007741332],"domain_scores_gemma":[0.99214363,0.0061992737,0.00046711977,0.0002077577,0.0008107565,0.00017143927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034079445,0.000843881,0.0025368254,0.0056820344,0.0005762236,0.0039791544,0.0017386731,0.0028946921,0.005634968],"category_scores_gemma":[0.008049547,0.0004727046,0.00085800246,0.00806211,0.002295033,0.005449174,0.0017040238,0.0026812623,0.0015406148],"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":[0.00010351919,0.00011161679,0.00071397866,0.039227176,0.00022106619,0.00019698989,0.00028112798,0.0005756444,0.00065574126,0.043772236,0.054627597,0.8595133],"study_design_scores_gemma":[0.000023157394,0.000047290756,0.0009814707,0.018520864,0.00022982695,0.0005132944,0.00018714115,0.00012462283,0.00027514872,0.01986572,0.9591969,0.000034489974],"about_ca_topic_score_codex":0.0015644208,"about_ca_topic_score_gemma":0.002628187,"teacher_disagreement_score":0.0056820344,"about_ca_system_score_codex":0.001562981,"about_ca_system_score_gemma":0.0048229587,"threshold_uncertainty_score":0.018850803},"labels":[],"label_agreement":null},{"id":"W2587833514","doi":"10.1504/ijric.2017.10003236","title":"Importance of research, innovation and commercialisation for technological success","year":2017,"lang":"en","type":"article","venue":"International Journal of Research Innovation and Commercialisation","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Key (lock); Government (linguistics); Independence (probability theory); Business; Industrial organization; Marketing; Process management; Computer science; Mathematics; Computer security","score_opus":0.3059204563366838,"score_gpt":0.4439273311790272,"score_spread":0.13800687484234342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587833514","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23807365,0.022742657,0.055885166,0.03317635,0.0005969754,0.00032849226,0.00044507292,0.00016837091,0.6485833],"genre_scores_gemma":[0.98490703,0.0048577995,0.0053548664,0.00029996695,0.0002411767,0.00007264645,0.000053359225,0.00001561455,0.0041975067],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99552935,0.0015786765,0.0003762947,0.0004361672,0.0013887392,0.0006907624],"domain_scores_gemma":[0.9718916,0.017125854,0.0049234084,0.001286719,0.0025914572,0.0021810168],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0039842413,0.0003614865,0.00058972853,0.0018570854,0.0011356587,0.007742524,0.00043744405,0.001906485,0.0070926193],"category_scores_gemma":[0.016099695,0.00019344286,0.00039056328,0.0023589819,0.006137749,0.0056966897,0.0027274939,0.0022192388,0.00096251094],"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":[0.000092195136,0.000089959,0.01644911,0.00072132493,0.000041773066,0.00035589028,0.00071842055,0.0018209813,0.0014028869,0.9172648,0.0020971012,0.05894544],"study_design_scores_gemma":[0.000040461833,0.00020059891,0.070715815,0.0005986276,0.00010487067,0.0011366805,0.0031241907,0.0047754436,0.002261027,0.84084463,0.076107435,0.0000903291],"about_ca_topic_score_codex":0.0011150377,"about_ca_topic_score_gemma":0.001091516,"teacher_disagreement_score":0.9960158,"about_ca_system_score_codex":0.002516847,"about_ca_system_score_gemma":0.0033224314,"threshold_uncertainty_score":0.023727179},"labels":[],"label_agreement":null},{"id":"W2588605869","doi":"10.1016/s0954-349x(00)00027-8","title":"A general equilibrium analysis of the evolution of Canadian service productivity","year":2000,"lang":"en","type":"article","venue":"Structural Change and Economic Dynamics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal","funders":"","keywords":"Economics; Productivity; General equilibrium theory; Commodity; Consumption (sociology); Service (business); Shadow price; Total factor productivity; Endowment; Capital (architecture); Real estate; Microeconomics; Macroeconomics; Economy; Finance","score_opus":0.024525538592243257,"score_gpt":0.19693232612980824,"score_spread":0.17240678753756497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588605869","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":[0.8377376,0.002997172,0.05521338,0.0091227405,0.0002688533,0.0001482806,0.0035472491,0.00034109072,0.090623625],"genre_scores_gemma":[0.97178674,0.0011979849,0.0032976272,0.00019349722,0.00006460154,0.000031730273,0.0006107197,0.000044776483,0.022772275],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999433,0.00007207595,0.0000116259025,0.00009145772,0.00008989565,0.00030178184],"domain_scores_gemma":[0.9986727,0.0005169673,0.00012374701,0.00004907392,0.00045811536,0.00017949809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001411914,0.00074682955,0.0015989678,0.0019349727,0.002589139,0.0038634662,0.0020134836,0.0018804533,0.011129715],"category_scores_gemma":[0.006153289,0.0007053592,0.0016617047,0.0025652824,0.0020449162,0.0017466082,0.0008497998,0.0018635578,0.0004171483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012038831,0.00006496903,0.004963317,0.000087621374,0.00007640169,0.00016591878,0.00038690644,0.6408134,0.0008031305,0.33819395,0.006905818,0.0074182004],"study_design_scores_gemma":[0.00006437968,0.000029497156,0.00829182,0.000029837773,0.000087279484,0.000036230187,0.00040882797,0.94261736,0.00018363797,0.042771496,0.005413566,0.00006615337],"about_ca_topic_score_codex":0.96309304,"about_ca_topic_score_gemma":0.9231465,"teacher_disagreement_score":0.036906958,"about_ca_system_score_codex":0.032245085,"about_ca_system_score_gemma":0.023589842,"threshold_uncertainty_score":0.23395556},"labels":[],"label_agreement":null},{"id":"W2589522950","doi":"10.5539/ijef.v9n3p194","title":"Convergence and Divergence under Global Trade","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lagging; Underdevelopment; Economics; Divergence (linguistics); Convergence (economics); Comparative advantage; Technological change; Externality; Production (economics); Endogenous growth theory; Foreign direct investment; Great Divergence; Investment (military); International economics; Economic geography; International trade; Neoclassical economics; Microeconomics; Macroeconomics; Market economy; Economic growth; Human capital","score_opus":0.03652529561745104,"score_gpt":0.24243464397196696,"score_spread":0.2059093483545159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2589522950","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":[0.5035143,0.00094793836,0.3381397,0.0057955347,0.0001317944,0.0000684287,0.00043733703,0.00021082167,0.15075408],"genre_scores_gemma":[0.9813657,0.00043382376,0.009374773,0.000197094,0.000053880292,0.000061834355,0.00010995784,0.000038896593,0.008364082],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990927,0.0003961951,0.000037109974,0.00017530975,0.00013156065,0.00016706203],"domain_scores_gemma":[0.998218,0.000907202,0.00031377998,0.00018443675,0.00020703702,0.00016946155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015424438,0.0006049414,0.00084699615,0.0011561386,0.00080870604,0.0026686152,0.0008580687,0.0016932623,0.005324338],"category_scores_gemma":[0.0059242635,0.00032080038,0.0013341276,0.0011904751,0.0025030547,0.0033863795,0.0030444434,0.0017462639,0.00057229586],"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":[0.000047501206,0.000033572564,0.0021787288,0.000045111774,0.00003461027,0.00028989027,0.0006384402,0.20534217,0.00045748585,0.78363335,0.0009818788,0.0063172677],"study_design_scores_gemma":[0.00003567143,0.000045833476,0.00088409096,0.00003862084,0.000015075667,0.00015863322,0.000282091,0.33110553,0.00013881027,0.6633523,0.0039207977,0.000022476566],"about_ca_topic_score_codex":0.0025625594,"about_ca_topic_score_gemma":0.001203404,"teacher_disagreement_score":0.005324338,"about_ca_system_score_codex":0.0016832127,"about_ca_system_score_gemma":0.0007721161,"threshold_uncertainty_score":0.017811656},"labels":[],"label_agreement":null},{"id":"W2590234719","doi":"10.5539/ijef.v9n3p168","title":"Educational Gender Gap, Economic Growth and Income Distribution: An Empirical Study of the Interrelationship in Cameroon","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Openness to experience; Theil index; Economics; Inequality; Distribution (mathematics); Economic inequality; Index (typography); Income distribution; Gender gap; Estimation; Demographic economics; Regression analysis; Income inequality metrics; Psychology","score_opus":0.06915149854994224,"score_gpt":0.2995879537876885,"score_spread":0.23043645523774625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2590234719","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":[0.9980533,0.00045698232,0.000104116465,0.00021042457,0.000006221731,0.0000071406216,0.00015600098,7.902081e-7,0.0010050874],"genre_scores_gemma":[0.99939346,0.0002327558,0.000061090344,0.000019996405,0.0000048232073,0.0000050240833,0.00008647758,4.7169067e-7,0.00019587557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995802,0.00014269371,0.000022458817,0.000044875098,0.000042459505,0.00016744589],"domain_scores_gemma":[0.99816763,0.0007753852,0.00067041506,0.00003565483,0.00015560682,0.00019528971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096617517,0.00026090757,0.00025831384,0.0015297921,0.0006576599,0.00069332885,0.00024469852,0.00026478458,0.0027197564],"category_scores_gemma":[0.0025406592,0.00015524549,0.00028350495,0.0022734618,0.0006430265,0.00096245,0.00075148715,0.0006142436,0.00015232193],"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":[0.000045633416,0.00005821155,0.9913402,0.000028552822,0.000017057411,0.00041706295,0.0014048746,0.000161542,0.000066128356,0.00074800197,0.00019628533,0.0055164467],"study_design_scores_gemma":[0.0000019568367,0.000042081552,0.9906645,0.000058644782,0.000015701247,0.00014419608,0.0072262418,0.0008935395,0.000058894526,0.00016831352,0.00072128366,0.000004647126],"about_ca_topic_score_codex":0.0430913,"about_ca_topic_score_gemma":0.054852817,"teacher_disagreement_score":0.0430913,"about_ca_system_score_codex":0.0010244142,"about_ca_system_score_gemma":0.0010751202,"threshold_uncertainty_score":0.08568096},"labels":[],"label_agreement":null},{"id":"W2593207400","doi":"10.1177/02601079x05001600203","title":"Production Structure, Factor Substitution, and Total Factor Productivity in the South African Agricultural Sector","year":2005,"lang":"en","type":"article","venue":"Journal of Interdisciplinary Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Elasticity of substitution; Technical change; Economics; Agriculture; Substitution (logic); Constant elasticity of substitution; Returns to scale; Technical progress; Production (economics); Factors of production; Total factor productivity; Econometrics; Agricultural productivity; Economies of scale; Unitary state; Agricultural machinery; Productivity; Computable general equilibrium; Agricultural economics; Microeconomics; Computer science; Macroeconomics; Geography","score_opus":0.02437704284967591,"score_gpt":0.2233329131375247,"score_spread":0.1989558702878488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593207400","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":[0.99650866,0.00014215203,0.0017206591,0.00004836456,0.0000010443825,0.0000056990452,0.00008093456,0.0000032916296,0.0014891347],"genre_scores_gemma":[0.99897385,0.00012482147,0.00046406998,0.000002102199,0.0000013937861,0.0000033172273,0.00006162832,0.0000018880219,0.00036694785],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996245,0.00016344515,0.000016559437,0.000035672016,0.00007769047,0.00008205905],"domain_scores_gemma":[0.9984365,0.00093183725,0.00030944764,0.000105484454,0.00015512029,0.000061580016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080701703,0.00027301378,0.0003394671,0.0016294755,0.00033886457,0.00097033515,0.00020207452,0.00020080629,0.0029377048],"category_scores_gemma":[0.0035110563,0.00025499647,0.00048093288,0.0032963632,0.00076211704,0.0010944341,0.00052647985,0.00030011093,0.00024775745],"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":[0.00059949834,0.000106115454,0.6799867,0.00017968167,0.000253605,0.0020384856,0.002043256,0.1761083,0.008928096,0.07861589,0.0005770476,0.050563313],"study_design_scores_gemma":[0.00004030959,0.00018685611,0.67014784,0.00007514086,0.000087904795,0.00086730794,0.0023379202,0.25041845,0.0018681132,0.07092379,0.0030106662,0.00003574465],"about_ca_topic_score_codex":0.008165759,"about_ca_topic_score_gemma":0.0075794393,"teacher_disagreement_score":0.008165759,"about_ca_system_score_codex":0.0012928895,"about_ca_system_score_gemma":0.00063261064,"threshold_uncertainty_score":0.016236424},"labels":[],"label_agreement":null},{"id":"W2596449536","doi":"10.5465/ambpp.2015.11627abstract","title":"Enhancing national innovative capacity: The impact of international trade and foreign investment","year":2015,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Innovator; Foreign direct investment; Intellectual property; Business; Productivity; International trade; Developing country; International economics; Investment (military); Emerging markets; Linkage (software); Economics; Entrepreneurship; Economic growth; Finance; Political science","score_opus":0.07086922017761166,"score_gpt":0.2658880912460093,"score_spread":0.19501887106839766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2596449536","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":[0.98101705,0.0011591432,0.00041611088,0.00044528145,0.000013566524,0.00000973189,0.00030316683,0.000010469329,0.016625501],"genre_scores_gemma":[0.9988127,0.00034895178,0.00007460398,0.000021525178,0.000011470957,0.0000035324022,0.00013927667,0.0000021333453,0.0005858803],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992512,0.00019576796,0.000048474918,0.000108504086,0.00013305245,0.00026301763],"domain_scores_gemma":[0.9894371,0.0053206296,0.003184153,0.0004366652,0.0005465774,0.0010748192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014625264,0.00027774458,0.00035062523,0.0016776217,0.00029089514,0.0022328417,0.00024990021,0.00041413485,0.0038281658],"category_scores_gemma":[0.007558733,0.00008752804,0.0006565352,0.0023687829,0.00079612434,0.0020570925,0.0013867656,0.0006779262,0.000342062],"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":[0.00013529538,0.00013651824,0.96257466,0.00006551861,0.0003082242,0.00042444377,0.00028146422,0.006624469,0.000528386,0.005198475,0.00040181412,0.023320727],"study_design_scores_gemma":[0.000007592138,0.00012432037,0.9898896,0.00006699223,0.00014465854,0.00017820745,0.0011923088,0.002965891,0.0006268734,0.002274851,0.0025158967,0.000012791876],"about_ca_topic_score_codex":0.0032231323,"about_ca_topic_score_gemma":0.0031694619,"teacher_disagreement_score":0.0038281658,"about_ca_system_score_codex":0.0007737907,"about_ca_system_score_gemma":0.0008609175,"threshold_uncertainty_score":0.012806475},"labels":[],"label_agreement":null},{"id":"W2602713130","doi":"","title":"Balanced growth hypothesis: Evidence from Canada","year":2017,"lang":"en","type":"article","venue":"International Journal of Commerce and Management Research","topic":"Economic Growth and Productivity","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","score_opus":0.16014036716742758,"score_gpt":0.33147196417371483,"score_spread":0.17133159700628725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2602713130","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":[0.8690191,0.0071927453,0.0009240646,0.025588993,0.00014957432,0.000098258395,0.008566805,0.00005280506,0.08840773],"genre_scores_gemma":[0.9891233,0.0027930662,0.00031645177,0.0008570337,0.000042811287,0.000013103319,0.002421198,0.000020107562,0.0044129253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998434,0.000118945,0.000068028916,0.00021165729,0.00070362503,0.00046358636],"domain_scores_gemma":[0.9769662,0.0050155097,0.0025543082,0.0008051055,0.012653079,0.0020057908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027418179,0.00031137842,0.0005936292,0.002410754,0.003609729,0.0037910596,0.0017091752,0.0010827148,0.009053758],"category_scores_gemma":[0.01911854,0.00018925092,0.0004015036,0.005318248,0.0036746871,0.0012565043,0.0011919298,0.0013456529,0.00052719517],"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":[0.002423428,0.0003103217,0.7759516,0.00045669003,0.00035706672,0.0013162591,0.0033546865,0.0031294413,0.00074810063,0.07732705,0.048800927,0.08582438],"study_design_scores_gemma":[0.0005085078,0.0001470303,0.92040914,0.00041650064,0.00060836686,0.00022772912,0.012922076,0.0039338665,0.0013728455,0.015514427,0.043836553,0.00010304514],"about_ca_topic_score_codex":0.9851446,"about_ca_topic_score_gemma":0.9815159,"teacher_disagreement_score":0.021677488,"about_ca_system_score_codex":0.021677488,"about_ca_system_score_gemma":0.04866701,"threshold_uncertainty_score":0.15728194},"labels":[],"label_agreement":null},{"id":"W2605861879","doi":"","title":"Accounting for productivity growth in a small open economy: Sector-specific technological change and relative prices of trade","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Slowdown; Productivity; Economics; Total factor productivity; Commodity; Boom; Relative price; Growth accounting; Terms of trade; Small open economy; Multifactor productivity; International economics; International trade; Monetary economics; Macroeconomics; Exchange rate; Market economy","score_opus":0.18252729780067528,"score_gpt":0.3111868989876302,"score_spread":0.1286596011869549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605861879","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":[0.93318176,0.0008877716,0.05719134,0.0009098799,0.000035400193,0.000042080042,0.000686948,0.00012874676,0.006936083],"genre_scores_gemma":[0.9971801,0.00035217687,0.0013887436,0.000016328455,0.000016541679,0.000012021811,0.00016405273,0.000009522141,0.00086051895],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996424,0.00005870286,0.00002303751,0.00008328279,0.00008383438,0.00010870039],"domain_scores_gemma":[0.99757046,0.00096104573,0.0007786668,0.0002646099,0.00024924788,0.00017590178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001120735,0.0006478791,0.0006110677,0.0016309896,0.00045939043,0.0023936282,0.00071939966,0.0006059807,0.0012252803],"category_scores_gemma":[0.005087494,0.00025648676,0.0009554374,0.0023319332,0.0012306243,0.0020721445,0.001310318,0.0009569465,0.00019231805],"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":[0.00026275104,0.00014367278,0.21072641,0.00021207149,0.00031603928,0.0012322301,0.000805673,0.63358986,0.0076079583,0.099552535,0.0020763406,0.04347447],"study_design_scores_gemma":[0.000040259663,0.00011447418,0.08895477,0.000039949067,0.00015267539,0.00014710736,0.00050132815,0.7792553,0.002434383,0.12400375,0.0043009324,0.000055207736],"about_ca_topic_score_codex":0.050182886,"about_ca_topic_score_gemma":0.033881124,"teacher_disagreement_score":0.050182886,"about_ca_system_score_codex":0.0025952365,"about_ca_system_score_gemma":0.0016839684,"threshold_uncertainty_score":0.09978157},"labels":[],"label_agreement":null},{"id":"W2605973568","doi":"10.18374/cbr-2-3.6","title":"MINT COUNTRIES: HOW �SWEET� IS THEIR FUTURE?","year":2014,"lang":"en","type":"article","venue":"California Business Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Closing (real estate); Join (topology); Politics; Index (typography); Economy; Business; Political science; Economics; Law; Mathematics; Computer science","score_opus":0.023315462526649212,"score_gpt":0.20065888372908622,"score_spread":0.177343421202437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605973568","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.211602,0.18603033,0.0011591116,0.46689337,0.007228203,0.000041637068,0.0035668202,0.00014168954,0.1233368],"genre_scores_gemma":[0.80785936,0.13445975,0.00308668,0.028515538,0.002199572,0.00010731616,0.0023924029,0.000112308284,0.02126709],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994937,0.00014682891,0.000022953363,0.00006326691,0.000061832456,0.00021134614],"domain_scores_gemma":[0.998681,0.00019027549,0.0003315673,0.00006682209,0.00032800616,0.00040233135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012197979,0.0005128432,0.0005709744,0.0009956444,0.0022128124,0.0058059413,0.00052458764,0.0014683064,0.012153213],"category_scores_gemma":[0.0029366924,0.00017813536,0.00045545478,0.0026489557,0.0011238862,0.00879633,0.0019104369,0.0025770722,0.0013434009],"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":[0.00056485104,0.00017793252,0.101291426,0.0024253405,0.00026379962,0.0018636466,0.0060613826,0.0012212959,0.0006917116,0.26337788,0.20548335,0.41657752],"study_design_scores_gemma":[0.000042162606,0.00021062716,0.104213774,0.0031112726,0.00016434459,0.001089439,0.028531512,0.0005987319,0.0005024333,0.04870106,0.8127553,0.0000794014],"about_ca_topic_score_codex":0.009478629,"about_ca_topic_score_gemma":0.013513262,"teacher_disagreement_score":0.012153213,"about_ca_system_score_codex":0.0018052189,"about_ca_system_score_gemma":0.0029710906,"threshold_uncertainty_score":0.040656507},"labels":[],"label_agreement":null},{"id":"W2606884704","doi":"10.5430/ijfr.v8n2p182","title":"Empirical Study of Technological Factors Being Involved in Income Distribution --An Example of Gansu Province","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Northwest University for Nationalities; Northwest University","keywords":"Promotion (chess); Distribution (mathematics); Incentive; Human capital; Income distribution; Technological change; Economics; Work (physics); Phenomenon; Ignorance; Business; Economic system; Industrial organization; Economic growth; Microeconomics; Inequality; Macroeconomics","score_opus":0.21807579533446386,"score_gpt":0.3897938173048027,"score_spread":0.17171802197033886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606884704","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":[0.9983935,0.000047891463,0.00005938991,0.00006839291,0.0000015237753,0.0000062572212,0.00009487558,0.0000016265458,0.0013265704],"genre_scores_gemma":[0.99930024,0.000042299307,0.000079830104,0.00000872477,0.0000017251263,0.000003076608,0.00010916498,5.2308684e-7,0.00045437677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996735,0.00009803771,0.000016007574,0.000056642883,0.000057937872,0.00009795192],"domain_scores_gemma":[0.99917597,0.00032244317,0.00014316817,0.00006165332,0.00016682471,0.00012981026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006061601,0.00016866498,0.0002069368,0.0011749448,0.0007415847,0.00045194672,0.0003873328,0.00018371256,0.0012617896],"category_scores_gemma":[0.0010429736,0.00008565846,0.00025855258,0.0021370405,0.0005564197,0.00028176824,0.000454244,0.00035754792,0.00009594913],"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":[0.000046432524,0.000087592154,0.984183,0.000030791958,0.000029139119,0.0009415652,0.0032818206,0.00040274792,0.00035803998,0.0015308689,0.00071446225,0.00839356],"study_design_scores_gemma":[0.0000037129776,0.000015896494,0.9932632,0.000010945942,0.00001054887,0.00006775713,0.004490478,0.0010143738,0.000094158524,0.00010388441,0.00092140684,0.0000037054215],"about_ca_topic_score_codex":0.16861662,"about_ca_topic_score_gemma":0.16374917,"teacher_disagreement_score":0.16861662,"about_ca_system_score_codex":0.0013729773,"about_ca_system_score_gemma":0.0010942474,"threshold_uncertainty_score":0.33527035},"labels":[],"label_agreement":null},{"id":"W2611557074","doi":"10.4102/sajems.v4i1.2636","title":"Is the South African business cycle time dependent?","year":2001,"lang":"en","type":"article","venue":"South African Journal of Economic and Management Sciences","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Regent College","funders":"","keywords":"Business cycle; Recession; Duration (music); Economics; Underpinning; Hazard; Econometrics; Macroeconomics; Engineering","score_opus":0.029032156780552605,"score_gpt":0.21043649018241734,"score_spread":0.18140433340186474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611557074","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":[0.915028,0.01380372,0.013872562,0.01483756,0.00029627906,0.00006324518,0.0017474665,0.000057637862,0.040293496],"genre_scores_gemma":[0.99301213,0.0038269695,0.00037249082,0.00032250938,0.00013284585,0.000016087482,0.00024228434,0.000015193342,0.0020594532],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994479,0.00015078823,0.00004407943,0.00014452923,0.000102351,0.00011035996],"domain_scores_gemma":[0.98712474,0.005730987,0.0053206147,0.0008090122,0.00059345755,0.0004211966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015046549,0.00018943453,0.00050157885,0.0014778192,0.00042739164,0.0015287887,0.0003946243,0.00057281106,0.006907141],"category_scores_gemma":[0.016531417,0.00022378711,0.00048139083,0.0025079073,0.0011012811,0.002495346,0.00065028796,0.0009371476,0.0006072628],"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":[0.0009071508,0.0001326182,0.67807794,0.0009601893,0.0005759008,0.001961045,0.0045252484,0.008619012,0.0037498495,0.12660392,0.004860011,0.16902706],"study_design_scores_gemma":[0.000035797835,0.00012263139,0.885126,0.00033556728,0.00021617435,0.0013182911,0.0021236164,0.009212177,0.0012398083,0.065045126,0.035148192,0.00007672525],"about_ca_topic_score_codex":0.00579007,"about_ca_topic_score_gemma":0.0050404235,"teacher_disagreement_score":0.006907141,"about_ca_system_score_codex":0.00075822877,"about_ca_system_score_gemma":0.000644207,"threshold_uncertainty_score":0.023106694},"labels":[],"label_agreement":null},{"id":"W2612796633","doi":"10.1016/j.jmoneco.2017.11.003","title":"Innovation and product reallocation in the great recession","year":2017,"lang":"en","type":"article","venue":"Journal of Monetary Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":71,"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; Economics; Productivity; Revenue; Great recession; Product (mathematics); Quarter (Canadian coin); Product innovation; Monetary economics; Labour economics; Quality (philosophy); Industrial organization; Macroeconomics; Finance","score_opus":0.05153996193030203,"score_gpt":0.237404895741331,"score_spread":0.18586493381102898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612796633","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":[0.9845191,0.00229612,0.00056151836,0.006953759,0.000060321374,0.00000842676,0.00027408142,0.000019422652,0.005307162],"genre_scores_gemma":[0.99660325,0.00085224345,0.00006397071,0.00018017914,0.00009393324,0.0000031085642,0.00011694954,0.000006475672,0.0020797562],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969375,0.00005506456,0.00002444813,0.00005080929,0.00003553473,0.00014044193],"domain_scores_gemma":[0.9956981,0.0016816839,0.0014462919,0.00013037052,0.00039575412,0.00064783293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018594824,0.00027420724,0.00069985754,0.0007576838,0.00055643613,0.0020768573,0.0004126376,0.0026199876,0.0061609456],"category_scores_gemma":[0.0070809466,0.00026022788,0.0005186398,0.0013250887,0.0014274917,0.0017995748,0.0014190422,0.0017029982,0.0006573394],"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":[0.005432143,0.0009278959,0.73955923,0.00046851803,0.00034589708,0.0026115074,0.0034419238,0.065919675,0.004127044,0.084351115,0.015169266,0.07764577],"study_design_scores_gemma":[0.00023331985,0.00028904006,0.9046332,0.00012300508,0.00028235122,0.00039278722,0.0053564548,0.024114648,0.0007329222,0.055115156,0.008645716,0.00008143953],"about_ca_topic_score_codex":0.029521804,"about_ca_topic_score_gemma":0.030585924,"teacher_disagreement_score":0.029521804,"about_ca_system_score_codex":0.001997451,"about_ca_system_score_gemma":0.0011505998,"threshold_uncertainty_score":0.058699906},"labels":[],"label_agreement":null},{"id":"W2613657798","doi":"10.2139/ssrn.2967322","title":"The Contribution of ICT to Productivity in 18 OECD Countries: Focus on Australia","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"University of Toronto","funders":"","keywords":"Productivity; Information and Communications Technology; Focus (optics); Regional science; Economic geography; Business; Political science; International trade; Economics; Geography; Economic growth","score_opus":0.02633317201296477,"score_gpt":0.2357846456387865,"score_spread":0.20945147362582173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613657798","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":[0.981325,0.0031444347,0.00020718851,0.0019260437,0.00004215251,0.00000900354,0.00057004095,0.000019012658,0.01275726],"genre_scores_gemma":[0.9956448,0.0023141582,0.000076393786,0.00005378214,0.00004213694,0.000003746213,0.00020245937,0.000004613197,0.0016580275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916077,0.00015156009,0.00005009641,0.000062757535,0.00019223688,0.00038255233],"domain_scores_gemma":[0.9950121,0.001231373,0.0013233352,0.00012565659,0.0014805252,0.0008269618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011508354,0.00038527497,0.00031600488,0.003179062,0.0007880188,0.0031577984,0.00037988162,0.0005704587,0.0016496511],"category_scores_gemma":[0.0060436367,0.00014927967,0.00056843803,0.007288998,0.0011921767,0.0015451455,0.0028971347,0.0010876004,0.0003203499],"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":[0.0002612438,0.00013464836,0.8967396,0.00037830765,0.00023926828,0.0017420466,0.0035082828,0.006856175,0.0006861342,0.013666578,0.0038309935,0.071956776],"study_design_scores_gemma":[0.000008192729,0.000103026796,0.9795615,0.00014465798,0.00016842104,0.00021968738,0.003923057,0.0023039877,0.00058529974,0.0019105274,0.011056579,0.000014965576],"about_ca_topic_score_codex":0.08816341,"about_ca_topic_score_gemma":0.08994626,"teacher_disagreement_score":0.08816341,"about_ca_system_score_codex":0.0031931174,"about_ca_system_score_gemma":0.0034817546,"threshold_uncertainty_score":0.17530048},"labels":[],"label_agreement":null},{"id":"W2614031252","doi":"","title":"Modeling the Impacts of Long-Term Warming Trends on Gross Primary Productivity Across North America","year":2014,"lang":"en","type":"article","venue":"2014 AGU Fall Meeting","topic":"Economic Growth and Productivity","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 Alberta","funders":"","keywords":"Term (time); Productivity; Environmental science; Climatology; Natural resource economics; Geography; Economics; Geology; Economic growth","score_opus":0.025804331082613735,"score_gpt":0.23648732547502188,"score_spread":0.21068299439240815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614031252","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":[0.99232495,0.0002884528,0.0016334034,0.0017898934,0.00007148688,0.000012515594,0.0009669767,0.000066630426,0.0028457872],"genre_scores_gemma":[0.99717927,0.00028355076,0.0006127138,0.00010415155,0.000021406462,0.00001996337,0.000475806,0.00002355277,0.0012795518],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980766,0.000053155967,0.000008169265,0.00006152496,0.000013703783,0.00005577534],"domain_scores_gemma":[0.99939585,0.00027478757,0.00008044258,0.000030356672,0.00012054529,0.00009796254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007177893,0.0005886722,0.00043437557,0.0003609216,0.0005634105,0.0011930043,0.0009112639,0.0014056868,0.0026836365],"category_scores_gemma":[0.0022124082,0.00056217995,0.0010269866,0.000844265,0.0005557776,0.0011011275,0.00072428683,0.0012913819,0.00022203074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008154286,0.000086622305,0.034656707,0.00003941963,0.00012530494,0.00011919124,0.00014309376,0.9570795,0.0007233235,0.0023824,0.0017891563,0.0027736127],"study_design_scores_gemma":[0.00005915845,0.00007013658,0.040886477,0.000019317216,0.0001041354,0.000026761736,0.00057396496,0.95276576,0.00030520905,0.0032793186,0.0018789314,0.000030774823],"about_ca_topic_score_codex":0.39905405,"about_ca_topic_score_gemma":0.32046968,"teacher_disagreement_score":0.60094595,"about_ca_system_score_codex":0.0037566875,"about_ca_system_score_gemma":0.0024525286,"threshold_uncertainty_score":0.7934626},"labels":[],"label_agreement":null},{"id":"W26152293","doi":"","title":"The Canada-US ICT Investment Gap: An Update","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Investment (military); Liberian dollar; Productivity; Information and Communications Technology; Demographic economics; Economics; Business; Agricultural economics; Economic growth; Political science; Finance","score_opus":0.054035539038373846,"score_gpt":0.2693758346845512,"score_spread":0.21534029564617732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W26152293","genre_codex":"review","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":[0.0069454,0.75953037,0.0005816532,0.09370894,0.007413883,0.00009251997,0.07839057,0.0004320549,0.05290458],"genre_scores_gemma":[0.048268635,0.87011623,0.002111758,0.01768642,0.0027509471,0.000116038,0.04372578,0.0002683087,0.014955806],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9965623,0.000110151894,0.00033020918,0.00022971051,0.0022277145,0.0005398411],"domain_scores_gemma":[0.9742309,0.0022931362,0.0017143043,0.00027609558,0.01939944,0.0020861519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036463316,0.0014125294,0.001440148,0.024116049,0.0025007844,0.007954394,0.003082401,0.002135641,0.012235914],"category_scores_gemma":[0.015730523,0.00072542694,0.0011616965,0.06669086,0.001452858,0.0049593593,0.0026551925,0.002734149,0.0020749015],"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":[0.00008881007,0.000056050656,0.011463634,0.0031441508,0.00007088684,0.00019604838,0.00037455637,0.0003919921,0.00004464109,0.0076192366,0.70126104,0.27528897],"study_design_scores_gemma":[0.000011811319,0.0000131011975,0.023024397,0.0052239457,0.000096723816,0.0001495775,0.0007183786,0.00017033338,0.00014719956,0.0006859436,0.9697146,0.000044068445],"about_ca_topic_score_codex":0.9621423,"about_ca_topic_score_gemma":0.9657149,"teacher_disagreement_score":0.07044459,"about_ca_system_score_codex":0.07044459,"about_ca_system_score_gemma":0.17435156,"threshold_uncertainty_score":0.51111364},"labels":[],"label_agreement":null},{"id":"W2616487297","doi":"10.5430/jms.v8n2p43","title":"Study of Strategies for Technological Factors to Be Involved in Income Distribution","year":2017,"lang":"en","type":"article","venue":"Journal of Management and Strategy","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Northwest University for Nationalities; Northwest University","keywords":"Enthusiasm; Creativity; Incentive; Distribution (mathematics); Income distribution; Business; Technological change; Productive forces; Industrial organization; Marketing; Economic system; Economics; Market economy; Political science","score_opus":0.09548120847304169,"score_gpt":0.2754991704168611,"score_spread":0.18001796194381942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616487297","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":[0.69801885,0.0022466416,0.11471532,0.008565351,0.00011127405,0.000465421,0.0001443593,0.00007389779,0.17565884],"genre_scores_gemma":[0.9892811,0.00044681414,0.003927513,0.00007207694,0.00001774133,0.00005109822,0.000015738555,0.000005496411,0.0061824434],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99903715,0.00044750806,0.000031482417,0.0001194208,0.000120445045,0.0002441401],"domain_scores_gemma":[0.99791867,0.0011715678,0.00035940227,0.00008089895,0.00028527368,0.00018418233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016975139,0.00047156887,0.0003509493,0.0012696196,0.0009709427,0.0033922167,0.00063264044,0.0010171323,0.0071930797],"category_scores_gemma":[0.004898853,0.00015347486,0.00051516085,0.00084271736,0.0014727035,0.003444305,0.0013332334,0.0007817749,0.00048110986],"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":[0.00019156827,0.00038532796,0.046405803,0.0002737442,0.00009539473,0.001290404,0.0025892071,0.0117687415,0.0033242148,0.83617795,0.0018331901,0.09566455],"study_design_scores_gemma":[0.00013071248,0.00056362257,0.07869716,0.00044169242,0.00028157193,0.0009979637,0.025277043,0.122132555,0.007631965,0.7210642,0.04268148,0.00010002585],"about_ca_topic_score_codex":0.001366678,"about_ca_topic_score_gemma":0.0009620764,"teacher_disagreement_score":0.0071930797,"about_ca_system_score_codex":0.0019528675,"about_ca_system_score_gemma":0.0018539698,"threshold_uncertainty_score":0.02406329},"labels":[],"label_agreement":null},{"id":"W2617374616","doi":"","title":"Trade, Education, Governance and Distance: Impact on Technology Diffusion and Productivity Growth in Asia and LAC","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Total factor productivity; Openness to experience; East Asia; Productivity; Economics; Corporate governance; Recession; Development economics; International trade; International economics; Geography; Economic growth; China; Macroeconomics","score_opus":0.02272492651875155,"score_gpt":0.28671138054759965,"score_spread":0.26398645402884807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617374616","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":[0.9931839,0.00075727137,0.00014049867,0.00044156844,0.0000045575607,0.0000018802306,0.00026943494,0.000005569223,0.0051953346],"genre_scores_gemma":[0.9984333,0.0003717569,0.000047793223,0.000024245986,0.000009544133,0.0000015166855,0.00018119955,0.0000023925663,0.00092820264],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997509,0.00004421575,0.00001668,0.000042615975,0.000043527092,0.000102080085],"domain_scores_gemma":[0.99789137,0.00038913492,0.00093999464,0.000079539626,0.00029799025,0.00040193755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004803542,0.00020921495,0.00025058567,0.0011338082,0.00034360107,0.0018407447,0.00015944724,0.00022258968,0.0030790807],"category_scores_gemma":[0.001990709,0.00006864625,0.00043055398,0.0026046156,0.00087012694,0.0012811682,0.0017001348,0.0005675585,0.000284839],"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":[0.00012513757,0.00004237027,0.9765394,0.000051266903,0.000100312944,0.00033195745,0.0017753023,0.0019202185,0.0006090793,0.0039877673,0.00041977022,0.014097459],"study_design_scores_gemma":[0.0000046066048,0.000038421356,0.989972,0.0000441267,0.000048676724,0.00009136378,0.0037597693,0.0010044612,0.0004045893,0.0011234612,0.0034997694,0.000008656169],"about_ca_topic_score_codex":0.036372796,"about_ca_topic_score_gemma":0.040016543,"teacher_disagreement_score":0.036372796,"about_ca_system_score_codex":0.00138191,"about_ca_system_score_gemma":0.0008854762,"threshold_uncertainty_score":0.07232213},"labels":[],"label_agreement":null},{"id":"W2618195326","doi":"10.1093/cje/bex018","title":"A comment on ‘Testing Goodwin: growth cycles in ten OECD countries’","year":2017,"lang":"en","type":"article","venue":"Cambridge Journal of Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Institute for New Economic Thinking","keywords":"Mistake; General equilibrium theory; Estimation; Error correction model","score_opus":0.06002808525411302,"score_gpt":0.2386348546293928,"score_spread":0.17860676937527978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618195326","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":[0.00096676865,0.001257932,0.0005029341,0.95053864,0.044111807,0.00001601924,0.0005807819,0.00014587291,0.0018792683],"genre_scores_gemma":[0.0066444194,0.0006170476,0.0005146461,0.96365124,0.02495199,0.00004847714,0.00015112564,0.000108219174,0.003312889],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98845285,0.0029405325,0.0020758593,0.0020180324,0.0033666154,0.0011460977],"domain_scores_gemma":[0.9437534,0.037896316,0.0038427177,0.0027416504,0.010311555,0.0014543482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011953025,0.0015163197,0.0019414712,0.0019713186,0.0040728482,0.0050423653,0.006419073,0.04245576,0.008674399],"category_scores_gemma":[0.10791143,0.0009376495,0.002655011,0.0034762232,0.006553406,0.0077179926,0.0046669478,0.03148283,0.0066621117],"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":[0.000037558133,0.00000902949,0.00053487887,0.00008373222,0.000020907399,0.00026338806,0.00050397596,0.00011248399,0.00011629692,0.0040749395,0.99168104,0.0025617993],"study_design_scores_gemma":[0.00009304746,0.00004876238,0.006059047,0.0006957435,0.000060239123,0.0005888522,0.0015893016,0.0008136017,0.00094226294,0.0141181685,0.9747499,0.00024107026],"about_ca_topic_score_codex":0.05788504,"about_ca_topic_score_gemma":0.036249787,"teacher_disagreement_score":0.05788504,"about_ca_system_score_codex":0.0034540487,"about_ca_system_score_gemma":0.0046020867,"threshold_uncertainty_score":0.11509627},"labels":[],"label_agreement":null},{"id":"W2624367238","doi":"10.1016/j.jdeveco.2019.102388","title":"Technology adoption, capital deepening, and international productivity differences","year":2019,"lang":"en","type":"preprint","venue":"Journal of Development Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":20,"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":"National University of Singapore","keywords":"Productivity; Capital intensity; Agriculture; Capital (architecture); Agricultural productivity; Economics; Capital deepening; Agricultural economics; Business; Labor intensity; Labour economics; Natural resource economics; Industrial organization; Human capital; Capital formation; Economic growth; Market economy; Financial capital; Geography","score_opus":0.029422493793793515,"score_gpt":0.21094614817007154,"score_spread":0.18152365437627802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2624367238","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":[0.9912646,0.0011283823,0.0016944205,0.00040335616,0.000018049821,0.000010617298,0.000239045,0.00001775406,0.0052238856],"genre_scores_gemma":[0.9983529,0.0004057648,0.00016049495,0.000020432411,0.000029076116,0.0000035655814,0.00011053582,0.0000025839224,0.0009147697],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996264,0.00009070263,0.000024770106,0.000084892046,0.00005031731,0.00012294545],"domain_scores_gemma":[0.9873169,0.008364263,0.0026147058,0.0005852663,0.00040000057,0.00071877573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017400144,0.00028386278,0.00034767378,0.0010041973,0.00025371625,0.0018855203,0.00025498358,0.0007643845,0.0051863515],"category_scores_gemma":[0.009660558,0.00012714762,0.00042509206,0.0018759747,0.00081733795,0.0018888023,0.00080112385,0.0010722338,0.0003604359],"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":[0.0013531699,0.0007434216,0.8276959,0.0002933734,0.00043714422,0.001044623,0.0016032872,0.027071109,0.005203194,0.047864933,0.0028181968,0.0838717],"study_design_scores_gemma":[0.000069013884,0.00038620378,0.9343745,0.00007483183,0.00031583864,0.00034384726,0.0014996018,0.014887573,0.0025191745,0.04176944,0.0037184856,0.000041445684],"about_ca_topic_score_codex":0.0026019067,"about_ca_topic_score_gemma":0.0017442901,"teacher_disagreement_score":0.0051863515,"about_ca_system_score_codex":0.0005268722,"about_ca_system_score_gemma":0.00035411178,"threshold_uncertainty_score":0.017350078},"labels":[],"label_agreement":null},{"id":"W2625161420","doi":"10.5937/jpea1701013s","title":"The investment support capacity for technology of small farms and rural households in Western Romania","year":2017,"lang":"en","type":"article","venue":"Journal on Processing and Energy in Agriculture","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Investment (military); General partnership; Competition (biology); Scale (ratio); Business; Order (exchange); Quarter (Canadian coin); Agricultural economics; Private sector; Economic growth; Finance; Economics; Geography; Political science","score_opus":0.028024821017041235,"score_gpt":0.20906675906375297,"score_spread":0.18104193804671173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625161420","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":[0.99435556,0.00010488842,0.00013663693,0.00009012857,8.630404e-7,0.0000071998857,0.00007927238,0.0000021850203,0.005223438],"genre_scores_gemma":[0.9990546,0.000058428974,0.00006944266,0.000005401666,7.7784097e-7,0.0000042466063,0.000035095432,7.8042825e-7,0.0007711577],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996917,0.00008028649,0.000015676447,0.000037836617,0.000033744047,0.00014067008],"domain_scores_gemma":[0.9994474,0.0001499138,0.00021033823,0.00003772448,0.000056590983,0.00009804115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037473362,0.00007498725,0.00013884528,0.0005403661,0.00036256743,0.0009587169,0.00025417432,0.00011618703,0.0037464865],"category_scores_gemma":[0.0012069138,0.00009858254,0.000080017315,0.0008291348,0.0005522686,0.0004630441,0.00081460335,0.00016570633,0.0002635565],"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":[0.0001737337,0.00011191681,0.9039426,0.0001466116,0.000030709514,0.0013023531,0.008502637,0.0023381226,0.002077996,0.01767745,0.0014906903,0.062205166],"study_design_scores_gemma":[0.000006456607,0.000069982925,0.97361946,0.000072067174,0.00001127218,0.00041785685,0.0138208745,0.0015695558,0.0003130351,0.0007876316,0.009305389,0.0000064653323],"about_ca_topic_score_codex":0.00748357,"about_ca_topic_score_gemma":0.012844173,"teacher_disagreement_score":0.00748357,"about_ca_system_score_codex":0.0008927249,"about_ca_system_score_gemma":0.0007962127,"threshold_uncertainty_score":0.014880002},"labels":[],"label_agreement":null},{"id":"W2625968058","doi":"10.1108/jes-12-2015-0226.html?utm_source=repec&utm_medium=feed&utm_campaign=repec","title":"Competition and innovation with horizontal R&D spillovers","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Spillover effect; Competition (biology); Production (economics); Welfare; Economics; Microeconomics; Industrial organization; Social Welfare; Horizontal and vertical; Market economy; Mathematics; Ecology","score_opus":0.043572006845778395,"score_gpt":0.2634561558086401,"score_spread":0.21988414896286174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625968058","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":[0.7428835,0.002324067,0.0924586,0.003232638,0.0000658876,0.00019503539,0.00027279923,0.000086324864,0.15848112],"genre_scores_gemma":[0.9960995,0.0003173604,0.0017081595,0.00007849073,0.000030098116,0.000026790787,0.000022831826,0.0000021185404,0.0017148228],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99792117,0.00073208625,0.00008566055,0.0003120343,0.0005059931,0.00044312066],"domain_scores_gemma":[0.99021226,0.0055550314,0.0026108238,0.00058601977,0.0005758113,0.00045999498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023499136,0.000357513,0.00072559365,0.0013073438,0.00085393136,0.002414245,0.0005138318,0.0010091311,0.011422732],"category_scores_gemma":[0.0053063654,0.00024073488,0.0010038505,0.0014345674,0.002562339,0.0019902969,0.0026786216,0.00079731934,0.0006999383],"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":[0.0002929723,0.00045135056,0.06655889,0.00070577953,0.00022509201,0.001993354,0.0008746888,0.055032156,0.0049501974,0.8170562,0.0016550119,0.05020429],"study_design_scores_gemma":[0.00015741341,0.0005937209,0.08040314,0.0003645991,0.00036352457,0.0019041677,0.002426678,0.11286954,0.004385648,0.78475314,0.011688398,0.0000899704],"about_ca_topic_score_codex":0.0022479144,"about_ca_topic_score_gemma":0.0018560173,"teacher_disagreement_score":0.011422732,"about_ca_system_score_codex":0.0018345279,"about_ca_system_score_gemma":0.0015898561,"threshold_uncertainty_score":0.038212836},"labels":[],"label_agreement":null},{"id":"W2626597211","doi":"","title":"Expectations weigh heavily for TiO2, but who is protecting the secrets?","year":2014,"lang":"en","type":"article","venue":"Industrial Minerals","topic":"Economic Growth and Productivity","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":"Intellectual property; China; Quarter (Canadian coin); Property (philosophy); Commerce; Business; Engineering; Law and economics; Law; Political science; Economics; Geography; Archaeology","score_opus":0.1025170704557053,"score_gpt":0.24760724995748248,"score_spread":0.1450901795017772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2626597211","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008907841,0.0030699798,0.0019965635,0.8930144,0.0044402895,0.000017778204,0.0001508977,0.00010191697,0.08830039],"genre_scores_gemma":[0.34003794,0.0078924745,0.002426599,0.46601194,0.0039793504,0.000052889118,0.00034003027,0.000373546,0.17888527],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9918332,0.0015088576,0.00031196303,0.00065002125,0.003932235,0.0017636876],"domain_scores_gemma":[0.98619705,0.0036672668,0.0012580091,0.0009599369,0.005543608,0.0023740658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009061873,0.00036275655,0.00042152428,0.00055338466,0.00655083,0.012398904,0.001470336,0.008007027,0.019555727],"category_scores_gemma":[0.027678104,0.0003044118,0.00059310155,0.00072539,0.010032984,0.011608693,0.0034932257,0.010976957,0.005496912],"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":[0.00010653904,0.00009271477,0.008261285,0.00016765612,0.000033865417,0.000456692,0.007744929,0.00027120134,0.0026051363,0.25393754,0.67312515,0.05319732],"study_design_scores_gemma":[0.000010413757,0.00003733409,0.0032989574,0.00017580691,0.00000932154,0.00020588282,0.010052706,0.00023913936,0.0012021019,0.038856216,0.9458359,0.00007634705],"about_ca_topic_score_codex":0.04069621,"about_ca_topic_score_gemma":0.04782635,"teacher_disagreement_score":0.04069621,"about_ca_system_score_codex":0.008048207,"about_ca_system_score_gemma":0.012122391,"threshold_uncertainty_score":0.08091867},"labels":[],"label_agreement":null},{"id":"W2725351139","doi":"","title":"Can the CFSBC Activity Index Nowcast U.S. Real GDP Growth","year":2017,"lang":"en","type":"article","venue":"Chicago Fed Letter","topic":"Economic Growth and Productivity","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":"Nowcasting; Index (typography); Gross domestic product; Real gross domestic product; Quarter (Canadian coin); Economics; Economic indicator; Econometrics; Business cycle; Product (mathematics); Macroeconomics; Geography; Computer science; Mathematics; Meteorology","score_opus":0.03234619930354832,"score_gpt":0.22009547751673944,"score_spread":0.18774927821319112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2725351139","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22890374,0.013282208,0.016067786,0.40190777,0.049437877,0.00012182099,0.060334515,0.0018923399,0.22805193],"genre_scores_gemma":[0.85893244,0.013457421,0.0075995647,0.033638805,0.011476199,0.00009689458,0.035099655,0.0004426579,0.039256442],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857485,0.00033620707,0.00012046075,0.00016942192,0.0005728721,0.00022623382],"domain_scores_gemma":[0.98969615,0.0031235965,0.0015162564,0.0006549525,0.0044817054,0.00052732014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034035537,0.00058771827,0.00047975112,0.0028227929,0.00050789234,0.00397708,0.0004313689,0.0019776884,0.0035711806],"category_scores_gemma":[0.038465135,0.00020044377,0.00030023197,0.004069185,0.00046461856,0.0030229476,0.0008079166,0.001860975,0.0059175254],"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":[0.00064279325,0.00009579436,0.18825588,0.00010276255,0.000060955677,0.00010475649,0.00021063318,0.0027334949,0.0003741206,0.01606082,0.60896367,0.18239427],"study_design_scores_gemma":[0.0001492606,0.0002079064,0.2234483,0.00075715175,0.00011221935,0.00018565121,0.001726063,0.026869562,0.0030949863,0.04176292,0.7014116,0.00027435558],"about_ca_topic_score_codex":0.062323526,"about_ca_topic_score_gemma":0.060421042,"teacher_disagreement_score":0.062323526,"about_ca_system_score_codex":0.0025740222,"about_ca_system_score_gemma":0.001976723,"threshold_uncertainty_score":0.12392151},"labels":[],"label_agreement":null},{"id":"W2727352473","doi":"10.22004/ag.econ.234914","title":"EFFECT OF HUMAN CAPITAL ON MAIZE PRODUCTIVITY IN GHANA: A QUANTILE REGRESSION APPROACH","year":2016,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Quantile regression; Human capital; Productivity; Economics; Food security; Agricultural productivity; Agriculture; Physical capital; Stock (firearms); Agricultural economics; Developing country; Labour economics; Economic growth; Econometrics; Geography","score_opus":0.032533604115237286,"score_gpt":0.22886387369868028,"score_spread":0.196330269583443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2727352473","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":[0.99337703,0.00064212695,0.002850882,0.00051397743,0.000015945587,0.000020377549,0.0013139758,0.000067158464,0.0011985223],"genre_scores_gemma":[0.99834275,0.00015020178,0.000318392,0.000024344828,0.000007927758,0.0000097762995,0.0004113259,0.000009619896,0.00072559866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901104,0.0006509904,0.00002431846,0.00012039251,0.000050269024,0.00014296979],"domain_scores_gemma":[0.99523395,0.0032808813,0.00079964777,0.000260474,0.00020189659,0.00022308096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002637553,0.0003298551,0.00043561228,0.0006833884,0.00021840858,0.0006691974,0.0005984218,0.0005266754,0.005549254],"category_scores_gemma":[0.00609186,0.00019045272,0.0008933209,0.0013737914,0.000399348,0.00042843077,0.00056220515,0.001148769,0.00061102316],"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":[0.0006473247,0.00022291021,0.9532485,0.000054827382,0.0007160546,0.00045095838,0.0006496446,0.021253286,0.000525139,0.0020030222,0.0018280554,0.018400226],"study_design_scores_gemma":[0.000035390232,0.000266056,0.91843987,0.000055973032,0.00027062904,0.00012409186,0.001231442,0.07542817,0.0004598873,0.0012954175,0.0023703738,0.000022816599],"about_ca_topic_score_codex":0.049176596,"about_ca_topic_score_gemma":0.016405994,"teacher_disagreement_score":0.049176596,"about_ca_system_score_codex":0.00086906843,"about_ca_system_score_gemma":0.00042298442,"threshold_uncertainty_score":0.097780704},"labels":[],"label_agreement":null},{"id":"W2730512854","doi":"","title":"High-Technology Trade Indicators 2008 - An International Comparison of the Big Economic Areas and Countries","year":2010,"lang":"en","type":"other","venue":"Joint Research Centre (European Commission)","topic":"Economic Growth and Productivity","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":"International trade; Business; Economics; International economics","score_opus":0.05112409340073428,"score_gpt":0.2838823033636082,"score_spread":0.2327582099628739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2730512854","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60575485,0.017906884,0.004440912,0.0012113419,0.0004947226,0.00022773055,0.18755811,0.0006165954,0.18178885],"genre_scores_gemma":[0.8194401,0.0114461,0.009788556,0.0001966702,0.00020457407,0.00023886267,0.14290503,0.00021641934,0.015563681],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99938214,0.00007889297,0.00010083707,0.00008188118,0.00025349614,0.000102731894],"domain_scores_gemma":[0.99826497,0.00020736414,0.0006080158,0.00011692119,0.0006581382,0.00014472347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008909188,0.00076556904,0.0003231853,0.01492003,0.0002860634,0.0019466958,0.0002654175,0.00021126463,0.0026564533],"category_scores_gemma":[0.0014314252,0.000160572,0.0005139854,0.0271566,0.00021994163,0.0022301525,0.0010182633,0.0004423338,0.0010961791],"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":[0.0008600717,0.0001942101,0.59349036,0.002256701,0.00073088566,0.00046802603,0.0014232087,0.0052292156,0.0026650936,0.033154227,0.08118799,0.27834004],"study_design_scores_gemma":[0.000018292996,0.0000974275,0.8936531,0.00036953876,0.00009216917,0.00034276795,0.001301081,0.00095164025,0.0014393353,0.0021651497,0.099535026,0.000034449513],"about_ca_topic_score_codex":0.005996111,"about_ca_topic_score_gemma":0.007937367,"teacher_disagreement_score":0.01492003,"about_ca_system_score_codex":0.0007253364,"about_ca_system_score_gemma":0.0009112331,"threshold_uncertainty_score":0.011922419},"labels":[],"label_agreement":null},{"id":"W2733086276","doi":"10.55016/ojs/sppp.v10i1.42626","title":"Policy Interventions Favouring Small Business: Rationales, Results and Recommendations","year":2017,"lang":"en","type":"article","venue":"The School of Public Policy Publications","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Australian Government","keywords":"Psychological intervention; Business; Public economics; Economics; Medicine; Nursing","score_opus":0.1487164081023832,"score_gpt":0.3158871922446977,"score_spread":0.16717078414231448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2733086276","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016030893,0.09749408,0.016226593,0.76787055,0.011780679,0.0186418,0.008704482,0.00044690687,0.062804095],"genre_scores_gemma":[0.36040035,0.18480313,0.09909387,0.28388876,0.0059045926,0.03932135,0.0033414087,0.00039029427,0.022856286],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9400765,0.040386435,0.0038991754,0.0024848233,0.0075608892,0.0055922125],"domain_scores_gemma":[0.753145,0.16970256,0.010035383,0.004418328,0.056369573,0.006329246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09270146,0.0036787626,0.0038499376,0.008046951,0.0038518088,0.016757166,0.0067103407,0.011934017,0.030356081],"category_scores_gemma":[0.19356655,0.0010501267,0.004410863,0.006470699,0.006739788,0.011456992,0.0056003616,0.013525009,0.0057260455],"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":[0.0030748118,0.0033017357,0.021850156,0.07855445,0.0031919607,0.0018684025,0.00602912,0.009153536,0.00070057047,0.3010375,0.27443016,0.29680768],"study_design_scores_gemma":[0.0025045588,0.001654579,0.020119602,0.26646137,0.007701845,0.00042105583,0.038580894,0.009947935,0.00504794,0.31919053,0.32775232,0.0006173165],"about_ca_topic_score_codex":0.028501056,"about_ca_topic_score_gemma":0.04829311,"teacher_disagreement_score":0.09270146,"about_ca_system_score_codex":0.021210039,"about_ca_system_score_gemma":0.066335335,"threshold_uncertainty_score":0.49025804},"labels":[],"label_agreement":null},{"id":"W2733655462","doi":"10.1787/9789264279179-en","title":"Total Factor Productivity in Advanced Countries: A Longterm Perspective","year":2017,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Total factor productivity; Economics; Productivity; Information and Communications Technology; Quality (philosophy); Technological change; Macroeconomics","score_opus":0.028679682853150805,"score_gpt":0.27119726392104754,"score_spread":0.24251758106789673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2733655462","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":[0.74419034,0.12342512,0.016867386,0.0065026,0.00076517876,0.000035466626,0.03509203,0.00020510436,0.07291683],"genre_scores_gemma":[0.939095,0.04121869,0.0030574496,0.00026986815,0.0007084227,0.000035120003,0.012419897,0.000036389003,0.0031590315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935025,0.00008791731,0.000081284714,0.00018669035,0.00017518495,0.00011861149],"domain_scores_gemma":[0.9967481,0.00066134863,0.0009480743,0.00024964975,0.0011574917,0.00023541653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014145405,0.00059097057,0.00057278597,0.0063016973,0.00046457117,0.002588542,0.0003354803,0.00047872282,0.0024678833],"category_scores_gemma":[0.004017009,0.00017289059,0.0009072829,0.013938733,0.0006813571,0.0030096236,0.0012082222,0.0010548829,0.0006329251],"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":[0.00025610728,0.00011048555,0.6856798,0.0015678899,0.0016969448,0.0009649813,0.001637033,0.026043685,0.0017394628,0.07458024,0.014371387,0.19135205],"study_design_scores_gemma":[0.000019826122,0.0003800703,0.8403598,0.0009581684,0.0005937155,0.00085124694,0.0021423562,0.0070775137,0.0018493521,0.024088008,0.121562965,0.00011703288],"about_ca_topic_score_codex":0.012778963,"about_ca_topic_score_gemma":0.00941918,"teacher_disagreement_score":0.012778963,"about_ca_system_score_codex":0.0012342593,"about_ca_system_score_gemma":0.00093114475,"threshold_uncertainty_score":0.025409162},"labels":[],"label_agreement":null},{"id":"W2734375629","doi":"10.18533/ijbsr.v7i6.1057","title":"Trends in innovation activities in manufacturing industries across development echelons","year":2017,"lang":"en","type":"article","venue":"International Journal of Business and Social Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Developing country; Per capita; Business; Population; Cohort; Economic growth; Economics; Medicine; Environmental health","score_opus":0.21629904135706424,"score_gpt":0.3928146123754948,"score_spread":0.17651557101843057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734375629","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":[0.99706334,0.00016571737,0.0001550975,0.000037356866,0.0000020627713,0.0000042778847,0.0013921352,0.00001081348,0.0011692867],"genre_scores_gemma":[0.9969067,0.0001329436,0.00014424673,0.000007758367,0.000005771223,0.000006865324,0.0020248906,0.0000030377046,0.00076773466],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994868,0.000069095746,0.0000488214,0.00016286268,0.00010114602,0.00013124153],"domain_scores_gemma":[0.99337786,0.0017770944,0.0031104842,0.00042700832,0.0007448947,0.0005626134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009175966,0.00016484287,0.00024072801,0.002737452,0.00018795884,0.00093260274,0.00029240974,0.00019302039,0.00211115],"category_scores_gemma":[0.0031403077,0.00012485,0.00055540266,0.0024783658,0.0002112435,0.00058703864,0.0007631654,0.000361015,0.00049322285],"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":[0.0000442128,0.00001700785,0.99365425,0.000013156793,0.00004217761,0.00003832215,0.0001454573,0.00052866136,0.00034931404,0.00019887308,0.00014644863,0.0048221936],"study_design_scores_gemma":[0.000001503024,0.000044247317,0.99845064,0.0000039433558,0.000010321256,0.000045890687,0.00015141857,0.0004345225,0.00024326233,0.00003545224,0.0005757401,0.0000030824056],"about_ca_topic_score_codex":0.0045918818,"about_ca_topic_score_gemma":0.0053452556,"teacher_disagreement_score":0.0045918818,"about_ca_system_score_codex":0.00033912895,"about_ca_system_score_gemma":0.0002931408,"threshold_uncertainty_score":0.009130299},"labels":[],"label_agreement":null},{"id":"W2734496834","doi":"10.1111/jems.12213","title":"Learning remotely: R&amp;D satellites, intra‐firm linkages, and knowledge sourcing","year":2017,"lang":"en","type":"article","venue":"Journal of Economics & Management Strategy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Business; Satellite; Knowledge flow; Knowledge management; Empirical evidence; Industrial organization; Computer science; Engineering","score_opus":0.0600688091085777,"score_gpt":0.2536725034012107,"score_spread":0.19360369429263302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734496834","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":[0.99550396,0.00017255804,0.00021594351,0.00031094856,0.0000024572826,0.0000042091037,0.00007688344,0.0000042665492,0.0037086883],"genre_scores_gemma":[0.9993388,0.00008727773,0.00004971579,0.000019995216,0.0000061382348,0.0000019142092,0.000045437064,7.736995e-7,0.0004497899],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936575,0.00022834576,0.00003211636,0.00010058646,0.00012862272,0.00014452852],"domain_scores_gemma":[0.96696424,0.020032456,0.009489625,0.000545509,0.0005639076,0.0024043003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010906361,0.00016196317,0.00028694927,0.0012573524,0.00045485393,0.0020744947,0.00036513445,0.0007112029,0.010640256],"category_scores_gemma":[0.0076846075,0.00009608776,0.00028651653,0.0017183814,0.0011009728,0.0014294921,0.0018279622,0.00076388824,0.00055608596],"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":[0.00019206175,0.00046741724,0.96739465,0.00006639819,0.00016411065,0.0005063463,0.0006453089,0.005381304,0.00096158276,0.0037892095,0.00073128135,0.019700298],"study_design_scores_gemma":[0.000032315467,0.00019559757,0.98289365,0.000075872915,0.00014406115,0.00013778555,0.0034566766,0.003837645,0.000932474,0.006494739,0.0017785982,0.000020514846],"about_ca_topic_score_codex":0.0057236594,"about_ca_topic_score_gemma":0.006577082,"teacher_disagreement_score":0.010640256,"about_ca_system_score_codex":0.00075133645,"about_ca_system_score_gemma":0.00070010533,"threshold_uncertainty_score":0.03559524},"labels":[],"label_agreement":null},{"id":"W2734661611","doi":"10.1177/0971890720110106","title":"Market Valuation Of Research And Development Investments By Indian Firms","year":2011,"lang":"en","type":"article","venue":"Paradigm A Management Research Journal","topic":"Economic Growth and Productivity","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":"Market value; Book value; Valuation (finance); Market value added; Value (mathematics); Enterprise value; Equity (law); Business; Economics; Financial economics; Finance; Earnings","score_opus":0.2711730246742215,"score_gpt":0.3365247421179182,"score_spread":0.06535171744369672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734661611","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":[0.98163706,0.0010773889,0.00063467695,0.00033362114,0.00001065099,0.000016092195,0.0007367681,0.00001547415,0.015538243],"genre_scores_gemma":[0.998262,0.0003010226,0.00013119675,0.000013990664,0.0000151554705,0.000006194894,0.00030115555,0.0000014987556,0.00096782675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991578,0.00018729489,0.0000526263,0.00007240009,0.00036808994,0.00016185142],"domain_scores_gemma":[0.9902692,0.00452242,0.0036890474,0.0003325682,0.00073754,0.0004492305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010303442,0.00016715346,0.00025341043,0.0024907899,0.00026079617,0.0026324652,0.00040898068,0.00034377867,0.0024591251],"category_scores_gemma":[0.007044934,0.000108258406,0.00032707438,0.003076184,0.0003692906,0.0014264026,0.0005619593,0.0004884793,0.000308259],"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":[0.0005835724,0.0003165647,0.8394957,0.0003520572,0.00023965618,0.0011533529,0.0016171094,0.011058549,0.01600802,0.03677308,0.0024948872,0.089907475],"study_design_scores_gemma":[0.000017964205,0.00034505685,0.9592051,0.00006886344,0.00009745369,0.00074593927,0.0024917042,0.013885734,0.006421874,0.005289461,0.011367996,0.00006297426],"about_ca_topic_score_codex":0.0034738355,"about_ca_topic_score_gemma":0.0028153344,"teacher_disagreement_score":0.0034738355,"about_ca_system_score_codex":0.0015546962,"about_ca_system_score_gemma":0.0004649881,"threshold_uncertainty_score":0.011280179},"labels":[],"label_agreement":null},{"id":"W2734758945","doi":"10.1016/j.strueco.2019.12.008","title":"Divergence, convergence, and the history-augmented Solow model","year":2019,"lang":"en","type":"article","venue":"Structural Change and Economic Dynamics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"King's University College","funders":"Universität Hohenheim","keywords":"Economics; Convergence (economics); Inequality; Divergence (linguistics); Economic inequality; Econometrics; Mathematics; Macroeconomics","score_opus":0.03120875521651206,"score_gpt":0.19212838708867983,"score_spread":0.16091963187216776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734758945","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":[0.37760293,0.0035569188,0.57040167,0.008693315,0.00032228197,0.000063527026,0.000661349,0.00053337833,0.038164593],"genre_scores_gemma":[0.9657526,0.0010378406,0.011625175,0.00025453774,0.00017968244,0.00005814528,0.00032215792,0.00013242131,0.020637402],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99940634,0.00028756598,0.000026645122,0.00009587246,0.000079030884,0.00010459592],"domain_scores_gemma":[0.9953731,0.0028460461,0.0006130832,0.00026634103,0.000424273,0.0004771201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032645436,0.00079880224,0.0020784333,0.0019846729,0.0011919565,0.0026692802,0.002018207,0.0023569649,0.007426939],"category_scores_gemma":[0.014162736,0.0005767255,0.00091095484,0.0015754896,0.0034294378,0.0049507404,0.0027626152,0.0028359096,0.0005834311],"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":[0.000114573064,0.000049503826,0.002522251,0.00006314757,0.00007176743,0.0001531272,0.00030652716,0.17221643,0.00024585446,0.81218225,0.0025288856,0.009545743],"study_design_scores_gemma":[0.00002568073,0.00001770147,0.00038951635,0.000015349924,0.000012747131,0.000024278763,0.00005194804,0.3905337,0.0000518718,0.6079201,0.0009385338,0.000018575662],"about_ca_topic_score_codex":0.008307187,"about_ca_topic_score_gemma":0.0044735777,"teacher_disagreement_score":0.008307187,"about_ca_system_score_codex":0.0015860966,"about_ca_system_score_gemma":0.0013817048,"threshold_uncertainty_score":0.0248456},"labels":[],"label_agreement":null},{"id":"W2735554529","doi":"10.1111/jofi.12059","title":"Corporate Innovations and Mergers and Acquisitions","year":2013,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":891,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Linkage (software); Business; Database transaction; Industrial organization; Mergers and acquisitions; Monetary economics; Economics; Finance; Database; Computer science","score_opus":0.036770013109660445,"score_gpt":0.1934013823312942,"score_spread":0.15663136922163376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735554529","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":[0.99280894,0.0013905524,0.0005884562,0.0004060404,0.000011798325,0.000015665819,0.0012754033,0.00001522144,0.0034878948],"genre_scores_gemma":[0.99836403,0.00023666261,0.000112045745,0.000013858325,0.000029495766,0.0000072253397,0.0007196691,0.000001536311,0.00051548635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985795,0.0003899765,0.00014508514,0.00029080038,0.00037252388,0.00022219006],"domain_scores_gemma":[0.9628902,0.01426074,0.019185284,0.0007926933,0.0010102792,0.0018608886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012777749,0.0001940288,0.0003983143,0.0021336805,0.00048668156,0.0012577957,0.00031203846,0.0005518579,0.004478688],"category_scores_gemma":[0.015287794,0.00012769719,0.00038650917,0.0030764444,0.0007866222,0.0009281735,0.0011279769,0.0008139908,0.00034489823],"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":[0.00006643666,0.000057570316,0.9870868,0.000028418552,0.000109753244,0.00018121862,0.000117607975,0.0012585617,0.000139471,0.0019262165,0.0007160558,0.008311921],"study_design_scores_gemma":[0.00000761243,0.00005990484,0.99190044,0.000028371785,0.000041281335,0.0002993877,0.00031318347,0.0025992559,0.00027199055,0.002160019,0.0023086886,0.000009747706],"about_ca_topic_score_codex":0.004053368,"about_ca_topic_score_gemma":0.00550265,"teacher_disagreement_score":0.004478688,"about_ca_system_score_codex":0.00066444254,"about_ca_system_score_gemma":0.00046462586,"threshold_uncertainty_score":0.0149827},"labels":[],"label_agreement":null},{"id":"W2736232524","doi":"10.1177/0019466220090209","title":"Convergence in Human Development Levels across Regions","year":2009,"lang":"en","type":"article","venue":"The Indian Economic Journal","topic":"Economic Growth and Productivity","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 Northern British Columbia","funders":"","keywords":"Convergence (economics); Human development (humanity); Econometrics; Economics; Economic growth","score_opus":0.05964887211741722,"score_gpt":0.2642549656806761,"score_spread":0.20460609356325887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736232524","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":[0.98968995,0.0007030495,0.0003828663,0.0003405878,0.000012578102,0.000009035783,0.0014765938,0.000028696113,0.0073564965],"genre_scores_gemma":[0.9984712,0.00014351145,0.00013164541,0.000026296839,0.0000069567204,0.0000048035054,0.0005462888,0.000004978021,0.0006642341],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932146,0.0001682959,0.000034517445,0.00014776675,0.00007458342,0.00025335915],"domain_scores_gemma":[0.99677914,0.00090498815,0.0005513926,0.00027578755,0.0011339474,0.00035480477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077583554,0.0001407805,0.00035975515,0.0029247412,0.00041678624,0.0012747974,0.00039232665,0.00027111737,0.0040866816],"category_scores_gemma":[0.0035786054,0.00015943112,0.00039330608,0.0043168063,0.00063071336,0.0006081336,0.0012841204,0.00035717693,0.00063714053],"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":[0.00090344885,0.00006376885,0.9471442,0.00018435488,0.00044311784,0.00039113482,0.00548628,0.0046447124,0.0032324202,0.008103365,0.0018808914,0.027522212],"study_design_scores_gemma":[0.0000046985924,0.000026484806,0.9965329,0.000013442227,0.000022861417,0.00004526134,0.0014516857,0.00022684039,0.0001806261,0.0003176957,0.001171969,0.0000055691485],"about_ca_topic_score_codex":0.04021242,"about_ca_topic_score_gemma":0.035275135,"teacher_disagreement_score":0.04021242,"about_ca_system_score_codex":0.0011549906,"about_ca_system_score_gemma":0.00089757843,"threshold_uncertainty_score":0.07995671},"labels":[],"label_agreement":null},{"id":"W2738571509","doi":"","title":"Handle with Care: Report on GDP for First Quarter","year":2017,"lang":"en","type":"article","venue":"The Regional Economist","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Economics; Real gross domestic product; Macroeconomics; History","score_opus":0.04795964557353194,"score_gpt":0.226578811965967,"score_spread":0.17861916639243505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738571509","genre_codex":"dataset","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":[0.018671134,0.00831982,0.00065389386,0.08949325,0.0061279377,0.0001740708,0.7990472,0.0019352491,0.07557741],"genre_scores_gemma":[0.11386178,0.016455002,0.0026475037,0.033028156,0.004357,0.0011228928,0.68417305,0.0016563587,0.14269827],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9986992,0.00008971331,0.000120025514,0.000101859376,0.0006567382,0.0003325557],"domain_scores_gemma":[0.9934535,0.00049761427,0.0010018774,0.0001932433,0.0037727396,0.0010809961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012329498,0.0006798539,0.00036642133,0.0024255267,0.0005021749,0.0016195579,0.0007514997,0.0011108695,0.026190635],"category_scores_gemma":[0.010167431,0.00030992544,0.0006019068,0.0043725255,0.00021920973,0.001422928,0.0013673987,0.002573426,0.020282611],"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":[0.00005329181,0.00001413588,0.005743647,0.00008930531,0.000013103783,0.000015193437,0.000027640677,0.00002721277,0.000047597754,0.00037142014,0.9794372,0.014160255],"study_design_scores_gemma":[0.00010468738,0.000074042226,0.18221505,0.0004276028,0.000038787377,0.00008571937,0.00039155953,0.00019921172,0.0005502401,0.0005150771,0.8153638,0.00003421244],"about_ca_topic_score_codex":0.088660866,"about_ca_topic_score_gemma":0.08957558,"teacher_disagreement_score":0.088660866,"about_ca_system_score_codex":0.0019754835,"about_ca_system_score_gemma":0.0033289825,"threshold_uncertainty_score":0.17628962},"labels":[],"label_agreement":null},{"id":"W2738956336","doi":"10.5430/ijfr.v8n3p195","title":"Full – Perspective Analysis of Medium Income Trap","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Middle income trap; Economics; Vulnerability (computing); China; Middle income; Trap (plumbing); Production (economics); Economic shortage; Demographic economics; Macroeconomics; Geography","score_opus":0.10657869258339435,"score_gpt":0.38384913789911324,"score_spread":0.27727044531571887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738956336","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":[0.14250489,0.0028387995,0.04934781,0.013068233,0.00021604987,0.00008665528,0.0009395247,0.00009571122,0.7909024],"genre_scores_gemma":[0.9629069,0.0013964036,0.0053049116,0.00065493584,0.00006588156,0.000046140663,0.00021781458,0.000030904313,0.029376032],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997904,0.000058713227,0.000004519894,0.000026032478,0.000051443392,0.00006892492],"domain_scores_gemma":[0.99984527,0.000025132158,0.00001993302,0.000012942752,0.000052881885,0.000043751203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036414005,0.000364975,0.00023140626,0.0009938177,0.001981603,0.0023955705,0.00044759866,0.00065821677,0.01590893],"category_scores_gemma":[0.0005121127,0.00011169611,0.00046437923,0.0008682313,0.0012999343,0.0028112798,0.001950785,0.0015824557,0.0009741686],"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":[0.000013859089,0.000012750921,0.0012904695,0.000024532192,0.0000061241,0.0005448091,0.0010553465,0.0007095373,0.00014796597,0.98741513,0.0037876905,0.004991833],"study_design_scores_gemma":[0.00001916056,0.00004351532,0.0069171134,0.00015802398,0.000030042367,0.0010637332,0.008698638,0.014391981,0.00039971928,0.84011847,0.12812875,0.000030896794],"about_ca_topic_score_codex":0.009504414,"about_ca_topic_score_gemma":0.01024617,"teacher_disagreement_score":0.01590893,"about_ca_system_score_codex":0.0022595162,"about_ca_system_score_gemma":0.0015078865,"threshold_uncertainty_score":0.05322069},"labels":[],"label_agreement":null},{"id":"W2739803779","doi":"10.1002/jae.2591","title":"Normalized CES supply systems: Replication of Klump, McAdam, and Willman (2007)","year":2017,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Spurious relationship; Econometrics; Homogeneity (statistics); Logarithm; Replication (statistics); Unitary state; Maxima; Economics; Mathematics; Computer science; Mathematical economics; Statistics","score_opus":0.038901986105958096,"score_gpt":0.2261118766364981,"score_spread":0.18720989053054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739803779","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"reproducibility","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"reproducibility","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11473264,0.004939626,0.6934056,0.008631185,0.0017217097,0.0010415303,0.01660806,0.0018613965,0.15705818],"genre_scores_gemma":[0.6371956,0.0042497404,0.3149924,0.0009981083,0.0005730883,0.0015559024,0.007985738,0.0010860732,0.031363335],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99236465,0.0038961638,0.00046295382,0.0012237779,0.001911526,0.00014105768],"domain_scores_gemma":[0.9826272,0.005048791,0.0008174253,0.0062416196,0.005079979,0.00018505365],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009403208,0.0006781297,0.0014518525,0.003284297,0.0010021834,0.0036349848,0.002345712,0.00084630074,0.02112753],"category_scores_gemma":[0.05792234,0.0005148646,0.0017887063,0.0076339077,0.0018369377,0.0043092216,0.0023643766,0.0016698828,0.0038890534],"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":[0.00032581735,0.00012311131,0.0071719545,0.00076127594,0.00042074782,0.00038528585,0.002096221,0.028012369,0.0009939275,0.7532035,0.037790608,0.1687152],"study_design_scores_gemma":[0.00019329204,0.0001355825,0.011723421,0.00031730515,0.0002737078,0.00061660627,0.0015753644,0.10060604,0.0036528164,0.70641667,0.17426589,0.00022338644],"about_ca_topic_score_codex":0.01811294,"about_ca_topic_score_gemma":0.007882223,"teacher_disagreement_score":0.9905968,"about_ca_system_score_codex":0.0024557728,"about_ca_system_score_gemma":0.0036418492,"threshold_uncertainty_score":0.07067859},"labels":[],"label_agreement":null},{"id":"W2741950078","doi":"10.17016/2380-7172.2031","title":"Another Look at Residual Seasonality in GDP","year":2017,"lang":"en","type":"article","venue":"FEDS Notes","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"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":"Quarter (Canadian coin); Pace; Seasonality; Residual; Economics; Seasonal adjustment; Slowdown; Econometrics; Agricultural economics; Geography; Statistics; Mathematics; Economic growth; Geodesy","score_opus":0.06938161368562737,"score_gpt":0.25045028041453354,"score_spread":0.18106866672890617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741950078","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":[0.79582936,0.0052676047,0.018173072,0.04939131,0.0013931844,0.00005988392,0.012233307,0.00055514456,0.11709708],"genre_scores_gemma":[0.9829943,0.0010968588,0.0015138979,0.0025492976,0.00042033958,0.000009068811,0.0034092981,0.00016681124,0.007840129],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993851,0.00008472631,0.00004171153,0.00013656559,0.0001874231,0.00016446333],"domain_scores_gemma":[0.9960764,0.0010023336,0.00090821873,0.0004378399,0.0012872231,0.00028790798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010929493,0.00018196189,0.00030032275,0.0013153037,0.00047466377,0.0014446821,0.0003966249,0.00058110827,0.005492639],"category_scores_gemma":[0.006762448,0.00010693803,0.0005730464,0.0025253824,0.00062418915,0.0013357213,0.0006166867,0.0018131981,0.0005208523],"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":[0.00051603967,0.00022307927,0.6897704,0.0003250192,0.0005991602,0.0012105003,0.0037091873,0.0073053907,0.0042977375,0.09260864,0.09121194,0.10822303],"study_design_scores_gemma":[0.000023235345,0.0002051225,0.85959613,0.00018935573,0.00014984672,0.00043569042,0.0037188134,0.009653722,0.0012843494,0.027025944,0.097642735,0.0000749527],"about_ca_topic_score_codex":0.046927176,"about_ca_topic_score_gemma":0.059620775,"teacher_disagreement_score":0.046927176,"about_ca_system_score_codex":0.0009418085,"about_ca_system_score_gemma":0.00072674756,"threshold_uncertainty_score":0.09330809},"labels":[],"label_agreement":null},{"id":"W2745663741","doi":"10.5539/ijef.v9n9p137","title":"The Long Run Effect of Female Work Force Participation on Child Labour","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Gender gap; Work (physics); Work force; Simple (philosophy); Labour economics; Economics; Child labour; Demographic economics; Engineering","score_opus":0.02107629364346242,"score_gpt":0.24597512427469603,"score_spread":0.22489883063123361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2745663741","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":[0.9019737,0.0030944876,0.032549202,0.013382473,0.00020392497,0.0001982769,0.0052692494,0.00017482846,0.043153886],"genre_scores_gemma":[0.9355979,0.0019100776,0.0016884436,0.0005133921,0.00009300208,0.00011007751,0.0005441466,0.000017919689,0.05952508],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99954057,0.00013528076,0.000014711282,0.00006125669,0.000038096605,0.00021008578],"domain_scores_gemma":[0.99853265,0.0008147391,0.0003070758,0.000045816618,0.000056997957,0.00024261388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012954972,0.00060116145,0.0006005853,0.0005728274,0.0006485642,0.0013205028,0.00077308976,0.0021106277,0.022271998],"category_scores_gemma":[0.0029709677,0.0004644826,0.00081737456,0.00057844946,0.0006921276,0.00085393863,0.001173754,0.0012525718,0.0017904668],"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":[0.00156654,0.000723945,0.4514403,0.00049100624,0.00049778074,0.007348323,0.0035620313,0.22422506,0.005118811,0.19546849,0.016595265,0.09296253],"study_design_scores_gemma":[0.00094854773,0.0027162055,0.42483485,0.00065219094,0.0013530307,0.004511849,0.004538603,0.38402954,0.0022533797,0.12583125,0.048020184,0.00031043895],"about_ca_topic_score_codex":0.03309711,"about_ca_topic_score_gemma":0.026548099,"teacher_disagreement_score":0.03309711,"about_ca_system_score_codex":0.0011061223,"about_ca_system_score_gemma":0.00085015007,"threshold_uncertainty_score":0.07450724},"labels":[],"label_agreement":null},{"id":"W2749457327","doi":"10.2991/msmi-17.2017.4","title":"Entrepreneurial Judgment and Re-combinative Innovation-The emergence of the Chinese aerospace industry","year":2017,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Becton Dickinson (Canada)","funders":"","keywords":"Aerospace; State (computer science); Industrial organization; Innovation management; Business; Economic system; Marketing; Economics; Computer science; Engineering; Aerospace engineering","score_opus":0.034285111801731466,"score_gpt":0.24543090197742826,"score_spread":0.2111457901756968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2749457327","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":[0.9789245,0.0002863534,0.00084322307,0.00079213706,0.0000127050935,0.000010710399,0.000018448745,0.0000048830307,0.01910697],"genre_scores_gemma":[0.99919575,0.00009557952,0.00007076767,0.00001884159,0.0000058470146,0.0000013540017,0.0000049420737,4.370698e-7,0.0006063812],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9996112,0.00007318906,0.000020873087,0.00006813063,0.00009400377,0.00013266382],"domain_scores_gemma":[0.9990085,0.0002352366,0.00027310158,0.000093851006,0.00016817775,0.00022120994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011902937,0.00011665085,0.00017657685,0.0010217528,0.0012666591,0.00166291,0.00022721682,0.00031734083,0.0017448165],"category_scores_gemma":[0.0018204681,0.00007756739,0.00023836936,0.0011057463,0.0027414476,0.0013292012,0.0009756544,0.0005245686,0.00008466172],"study_design_candidate":"qualitative","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":[0.00030512954,0.00016633677,0.51198196,0.00017673222,0.00008042432,0.0024712016,0.056088552,0.00545653,0.0054678363,0.2807066,0.0023170088,0.13478173],"study_design_scores_gemma":[0.000025936617,0.00014873529,0.8782609,0.00007903808,0.00006012131,0.00043483984,0.021628488,0.012647522,0.0017173755,0.06213818,0.0227767,0.00008222517],"about_ca_topic_score_codex":0.021697393,"about_ca_topic_score_gemma":0.024575183,"teacher_disagreement_score":0.021697393,"about_ca_system_score_codex":0.0023380169,"about_ca_system_score_gemma":0.0018861252,"threshold_uncertainty_score":0.0431422},"labels":[],"label_agreement":null},{"id":"W2750952450","doi":"10.6000/1929-7092.2017.06.46","title":"Retroeconomics – Moving from Dying to Brisk Economy","year":2017,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Business","score_opus":0.05536277370878496,"score_gpt":0.2686013712809441,"score_spread":0.21323859757215913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750952450","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":[0.10692285,0.10056875,0.04465585,0.13514143,0.0053043943,0.0000835177,0.0002425642,0.00027780913,0.6068029],"genre_scores_gemma":[0.8734302,0.04328857,0.005760624,0.013871139,0.0013850254,0.00007300197,0.00009602912,0.00011867176,0.061976694],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988637,0.00047093577,0.000045002987,0.00015338512,0.00029062942,0.00017636009],"domain_scores_gemma":[0.99874157,0.00046067516,0.0002680993,0.00020054448,0.00018912065,0.00013999715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015956463,0.00030345962,0.00032433163,0.0011610924,0.0016983084,0.005978542,0.00059429894,0.0019677342,0.004215722],"category_scores_gemma":[0.00231282,0.00016927367,0.00029012404,0.0009326888,0.013723438,0.007919855,0.0039381576,0.0035458987,0.00071046385],"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":[0.000011998909,0.00001073665,0.0004803795,0.000081385784,0.0000036587207,0.00015592256,0.0010974254,0.00015942634,0.00013582724,0.97427046,0.0066062077,0.016986538],"study_design_scores_gemma":[0.000006736617,0.0000433619,0.0016732344,0.0005038886,0.00000631531,0.0009010975,0.0034377773,0.0004206916,0.00051556993,0.5478459,0.444624,0.000021431291],"about_ca_topic_score_codex":0.00083428377,"about_ca_topic_score_gemma":0.0007713649,"teacher_disagreement_score":0.005978542,"about_ca_system_score_codex":0.002541967,"about_ca_system_score_gemma":0.0016736335,"threshold_uncertainty_score":0.018443406},"labels":[],"label_agreement":null},{"id":"W2753378583","doi":"","title":"Bulgarian GDP structures: convergence with the EU [paper]","year":2015,"lang":"en","type":"article","venue":"SEEJE","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Bulgarian; Econometrics; Divergence (linguistics); Quarter (Canadian coin); Economics; Czech; Mathematics; Macroeconomics; Geography","score_opus":0.036489708804447046,"score_gpt":0.19495437682072392,"score_spread":0.15846466801627687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753378583","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":[0.9738617,0.0024894087,0.0009806047,0.0012232155,0.00003926187,0.000025492258,0.0018376732,0.00005086536,0.019491868],"genre_scores_gemma":[0.99631375,0.0006992338,0.0003232122,0.000060123082,0.000015839438,0.000007482242,0.0016079808,0.000024991663,0.00094748446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920803,0.00012442804,0.000053842898,0.00020994419,0.00013769422,0.00026611562],"domain_scores_gemma":[0.9987551,0.00025571513,0.00038804492,0.00013393091,0.00034529314,0.000121982135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012254361,0.0004045806,0.0005232562,0.003378786,0.0005094934,0.0028712868,0.0004974619,0.00045601372,0.0027790572],"category_scores_gemma":[0.004243882,0.00026636638,0.0003417165,0.005446983,0.001059212,0.0017328482,0.002198717,0.0010926328,0.0005162649],"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":[0.0010773998,0.00013442719,0.68329424,0.00052278856,0.00071043184,0.001887565,0.010199444,0.055863354,0.0015241235,0.09883971,0.01139752,0.13454904],"study_design_scores_gemma":[0.00002407675,0.00006655073,0.97871506,0.00015523452,0.0000526303,0.00017781541,0.0025409511,0.0041690217,0.0005505269,0.0045464495,0.008969787,0.00003191203],"about_ca_topic_score_codex":0.06943973,"about_ca_topic_score_gemma":0.03688194,"teacher_disagreement_score":0.06943973,"about_ca_system_score_codex":0.0037924661,"about_ca_system_score_gemma":0.0019959917,"threshold_uncertainty_score":0.13807112},"labels":[],"label_agreement":null},{"id":"W2755240497","doi":"10.5539/ijef.v9n10p179","title":"The Intensity of Knowledge Capital Investment in Kenya: Evidence from Manufacturing and Service Sectors","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Kenya; Productivity; Business; Product (mathematics); Service (business); Product innovation; Investment (military); Industrial organization; Survey data collection; Tertiary sector of the economy; Capital intensity; Product market; Capital (architecture); Economics; Human capital; Marketing; Market economy; Economic growth; Incentive","score_opus":0.04078840795889733,"score_gpt":0.23429090661183127,"score_spread":0.19350249865293395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755240497","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":[0.99618053,0.00090982,0.000038301634,0.00014855902,0.0000025248457,0.000009367056,0.00021423982,7.1956856e-7,0.0024959373],"genre_scores_gemma":[0.9987834,0.00068165455,0.000037697617,0.000034772092,0.0000036243332,0.000004514868,0.00016092058,6.3972794e-7,0.00029284318],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999503,0.00008416336,0.00004888905,0.00006622168,0.000104183215,0.00019362531],"domain_scores_gemma":[0.9941461,0.0011308733,0.0037879008,0.00010087561,0.00037352662,0.00046074306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006665787,0.00023290701,0.0002036684,0.0017200313,0.00088200235,0.0010607642,0.00040024385,0.00047280014,0.0026994399],"category_scores_gemma":[0.0034540223,0.0002709298,0.00027024176,0.0034359072,0.0006525319,0.0010642477,0.0010258905,0.0003432812,0.00027531036],"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":[0.000054797212,0.000052321782,0.99243027,0.000080485486,0.000031425378,0.00030932316,0.0011554188,0.00008446938,0.00024774967,0.00025897147,0.00020055975,0.0050942306],"study_design_scores_gemma":[0.0000027714823,0.000021621667,0.99708134,0.00004760563,0.000014999132,0.00009480358,0.0019915993,0.00009040331,0.00007719312,0.00004077059,0.00053288764,0.000003920953],"about_ca_topic_score_codex":0.050809246,"about_ca_topic_score_gemma":0.114688426,"teacher_disagreement_score":0.050809246,"about_ca_system_score_codex":0.0010133529,"about_ca_system_score_gemma":0.0014299545,"threshold_uncertainty_score":0.10102701},"labels":[],"label_agreement":null},{"id":"W2758760558","doi":"","title":"Innovation, Sciences et Développement économique Canada","year":2015,"lang":"fr","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Political science; Regional science; Geography","score_opus":0.14070560395148632,"score_gpt":0.25680932697774067,"score_spread":0.11610372302625435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2758760558","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041818757,0.102700904,0.0062173363,0.22445731,0.0076176682,0.0002448265,0.047369376,0.0010601649,0.56851363],"genre_scores_gemma":[0.25364724,0.054669082,0.005237378,0.0027454277,0.0013075433,0.00011340956,0.007785967,0.00018929997,0.6743047],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976902,0.00015830545,0.000079747406,0.00022974449,0.0013021673,0.0005397279],"domain_scores_gemma":[0.99467885,0.0009558441,0.00028250142,0.00018637316,0.002950118,0.0009463059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015806073,0.00073057576,0.00097077194,0.0041016117,0.0043927934,0.008226712,0.0008070101,0.0018202481,0.041215573],"category_scores_gemma":[0.006577603,0.00034739415,0.00058854907,0.00599388,0.0016270231,0.0024464605,0.0012119118,0.0031143762,0.0032261238],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019731885,0.00009308744,0.011106246,0.0004970296,0.00007725843,0.00023187045,0.00044689514,0.0031168882,0.00037941895,0.48729217,0.37593377,0.1206281],"study_design_scores_gemma":[0.000056962872,0.000024491459,0.02987784,0.00027759012,0.000029868008,0.00008472789,0.00046859795,0.0027803695,0.00052584795,0.024163688,0.941656,0.000054068038],"about_ca_topic_score_codex":0.9798268,"about_ca_topic_score_gemma":0.9790037,"teacher_disagreement_score":0.8956008,"about_ca_system_score_codex":0.104399204,"about_ca_system_score_gemma":0.17939772,"threshold_uncertainty_score":0.75747275},"labels":[],"label_agreement":null},{"id":"W2758847029","doi":"","title":"A Q1 turnaround for feedstock producers","year":2014,"lang":"zh","type":"article","venue":"Industrial Minerals","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Earnings before interest, taxes, depreciation, and amortization; Revenue; Agricultural economics; Business; Raw material; Commerce; Profit (economics); Agricultural science; Economics; Monetary economics; Finance; Environmental science; Geography; Chemistry","score_opus":0.10312604586910673,"score_gpt":0.24841306117090187,"score_spread":0.14528701530179514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2758847029","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46008918,0.001013212,0.017880505,0.029751038,0.006568815,0.0014048816,0.027147077,0.007894727,0.44825056],"genre_scores_gemma":[0.55372155,0.0006006463,0.0061806682,0.008154814,0.0006131382,0.00045043713,0.013830354,0.0005270632,0.41592124],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99902916,0.000057139314,0.000027887128,0.00019180284,0.00033743444,0.0003566116],"domain_scores_gemma":[0.9973254,0.00026700244,0.00025184307,0.00013167657,0.0011879791,0.0008360678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012572495,0.00058246986,0.0002152581,0.0010266227,0.0016342914,0.00202122,0.0007363194,0.0015133511,0.112206064],"category_scores_gemma":[0.0036553112,0.00035818166,0.00086508744,0.00061374175,0.00047327133,0.0013788568,0.0012994726,0.001378421,0.02732126],"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":[0.0021706466,0.0009179769,0.06476341,0.00038098975,0.000036041605,0.0008994004,0.00060398894,0.0018698506,0.024812913,0.01190932,0.63807195,0.25356352],"study_design_scores_gemma":[0.0002636696,0.0017557131,0.25277188,0.00012098349,0.000032619264,0.0006435255,0.002327916,0.0024387927,0.0089411745,0.0026645905,0.72791386,0.00012534425],"about_ca_topic_score_codex":0.036224708,"about_ca_topic_score_gemma":0.035712633,"teacher_disagreement_score":0.112206064,"about_ca_system_score_codex":0.0038016057,"about_ca_system_score_gemma":0.004643957,"threshold_uncertainty_score":0.3753667},"labels":[],"label_agreement":null},{"id":"W2762166367","doi":"","title":"Irrigation Development as an Instrument for Economic Growth in Saskatchewan: An Economic Impact Analysis","year":2017,"lang":"en","type":"dissertation","venue":"University Library - University of Saskatchewan (University of Saskatchewan)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Irrigation; Economic analysis; Agricultural economics; Environmental science; Water resource management; Economics; Agronomy; Biology","score_opus":0.013873105772799096,"score_gpt":0.19567101540765436,"score_spread":0.18179790963485526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762166367","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":[0.9525378,0.00079326786,0.0008278241,0.0022382694,0.000023181963,0.00009211362,0.0046875845,0.000020171865,0.038779788],"genre_scores_gemma":[0.9869227,0.0014758243,0.00045233197,0.00014047358,0.000007044434,0.000041097595,0.001574223,0.00000865836,0.009377686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993167,0.00017377337,0.00003221187,0.000050125975,0.00017647573,0.00025082834],"domain_scores_gemma":[0.99806064,0.0007337676,0.00018346096,0.000088052235,0.00068425917,0.00024981407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080161676,0.00037064074,0.00030208877,0.0017421518,0.0007180195,0.0025315254,0.0005646925,0.000310822,0.0033286044],"category_scores_gemma":[0.0020410197,0.00021989153,0.0006945371,0.005499136,0.000763225,0.00063764746,0.001220529,0.0011457681,0.00030015784],"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":[0.00041375327,0.0003028683,0.81072074,0.00021120439,0.00074382103,0.0016654073,0.0008549909,0.08240092,0.0030976576,0.036745045,0.013110029,0.049733527],"study_design_scores_gemma":[0.000049200644,0.00009638688,0.92613083,0.00015217865,0.0003301416,0.00008895069,0.005581319,0.04435831,0.0018585722,0.007453513,0.013824907,0.00007561951],"about_ca_topic_score_codex":0.90566236,"about_ca_topic_score_gemma":0.94744724,"teacher_disagreement_score":0.09433764,"about_ca_system_score_codex":0.034453105,"about_ca_system_score_gemma":0.024966357,"threshold_uncertainty_score":0.24997598},"labels":[],"label_agreement":null},{"id":"W2767952352","doi":"10.4000/books.pum.4287","title":"Économie de l’innovation : innovation, croissance et productivité","year":2015,"lang":"fr","type":"book-chapter","venue":"Presses de l’Université de Montréal eBooks","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Illinois at Urbana-Champaign; Organisation de Coopération et de Développement Économiques; University of Toronto; Johns Hopkins University; Princeton University; University of Oxford; Harvard University; University of Cambridge; Wayne State University; State University of New York; Stanford Bio-X; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Technology innovation; Economics; Industrial organization","score_opus":0.036338317173916765,"score_gpt":0.19521882451797265,"score_spread":0.1588805073440559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767952352","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012617935,0.4914414,0.024011727,0.025978837,0.002711579,0.00008183353,0.0005012849,0.00014388264,0.44251156],"genre_scores_gemma":[0.3190638,0.3510362,0.010736866,0.004596473,0.005209654,0.00020889183,0.00032910908,0.00016125216,0.30865774],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99906105,0.00018538516,0.000040296934,0.00020706885,0.0003829481,0.00012336743],"domain_scores_gemma":[0.9987047,0.0008141279,0.00013362702,0.000081595805,0.00019320201,0.00007277165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001118938,0.0010478937,0.0008379942,0.0018115866,0.00078100356,0.0063826875,0.00082833326,0.0028731427,0.011505974],"category_scores_gemma":[0.002732227,0.0004763642,0.0006854505,0.0037661952,0.0064611323,0.0043717553,0.0012879457,0.0030213688,0.002314556],"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":[0.00005339022,0.000047128702,0.0014111709,0.0008122428,0.000037036785,0.00010829129,0.0010715825,0.0022790376,0.0011160934,0.8376839,0.036834486,0.11854558],"study_design_scores_gemma":[0.000014585987,0.00007145396,0.006271456,0.00092628587,0.00003102639,0.00026074908,0.00039129597,0.0014153742,0.0008194171,0.46195436,0.527801,0.000042991007],"about_ca_topic_score_codex":0.01989422,"about_ca_topic_score_gemma":0.014603444,"teacher_disagreement_score":0.01989422,"about_ca_system_score_codex":0.007004011,"about_ca_system_score_gemma":0.0039080186,"threshold_uncertainty_score":0.050817847},"labels":[],"label_agreement":null},{"id":"W2769770987","doi":"10.5539/ibr.v10n12p167","title":"Human Capital and Economic Growth in Morocco: Evidence from Bayesian Model Averaging","year":2017,"lang":"en","type":"article","venue":"International Business Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Human capital; Econometrics; Economics; Cointegration; Life expectancy; Proxy (statistics); Granger causality; Multivariate statistics; Real gross domestic product; Gross domestic product; Index (typography); Statistics; Mathematics; Macroeconomics; Population; Economic growth; Demography; Computer science","score_opus":0.1283922908933934,"score_gpt":0.3449349557367576,"score_spread":0.21654266484336418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769770987","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":[0.9830466,0.0021637895,0.010538757,0.0008931098,0.000025220295,0.000018476745,0.0002231774,0.000049030103,0.003041876],"genre_scores_gemma":[0.9984195,0.00045509337,0.00074380497,0.000037343943,0.000025529725,0.000005756289,0.00013335986,0.0000060987313,0.00017352318],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977138,0.0013781802,0.00010522109,0.00038980864,0.00017722065,0.00023575655],"domain_scores_gemma":[0.9716249,0.021836804,0.0035185085,0.0016180424,0.0010749133,0.00032693753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007833554,0.00042762983,0.0008201587,0.0014147641,0.0007987866,0.001524356,0.00082044635,0.00065143086,0.0018059029],"category_scores_gemma":[0.027720226,0.00023905309,0.0007920714,0.0013833288,0.0012267581,0.0011375075,0.0012908636,0.00053597236,0.00019927905],"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":[0.00049223704,0.00023688794,0.74659634,0.0002477276,0.0012759558,0.0011687553,0.002898589,0.12722291,0.0005034324,0.044755615,0.0024814885,0.07212001],"study_design_scores_gemma":[0.00008809553,0.00023920987,0.46947336,0.00021314535,0.00057037413,0.00041666772,0.0014061691,0.45844942,0.0006315842,0.0625439,0.0058706272,0.00009747892],"about_ca_topic_score_codex":0.055971492,"about_ca_topic_score_gemma":0.023336131,"teacher_disagreement_score":0.055971492,"about_ca_system_score_codex":0.0011082725,"about_ca_system_score_gemma":0.0008841425,"threshold_uncertainty_score":0.11129141},"labels":[],"label_agreement":null},{"id":"W2773109742","doi":"10.4018/978-1-5225-2255-3.ch694","title":"The Economics of Internetization","year":2017,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Globalization; Transformational leadership; Currency; Transformative learning; Digital economy; Economy; Information economy; World economy; Political science; Economic system; Economics; Political economy; Sociology; Law; Public relations","score_opus":0.02960716545160318,"score_gpt":0.21312643279531943,"score_spread":0.18351926734371624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773109742","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010949984,0.025905471,0.010509594,0.03538753,0.00056667137,0.00003866492,0.00033208154,0.00005498234,0.91625506],"genre_scores_gemma":[0.7593818,0.0637845,0.0029846202,0.00960993,0.0038367312,0.0001933865,0.00034511718,0.00012535354,0.15973864],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992586,0.00028569784,0.000016138227,0.00008499639,0.00023638182,0.000118270116],"domain_scores_gemma":[0.99886775,0.0006443235,0.000120805016,0.00010514326,0.00015702228,0.00010494731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006975819,0.00036807172,0.00027899753,0.0015544291,0.0011226786,0.0055306572,0.00045341643,0.0021006013,0.013618792],"category_scores_gemma":[0.0027996276,0.00020087656,0.0003220313,0.0022355767,0.0056754053,0.006557207,0.0016453116,0.0025553447,0.0018585579],"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":[0.000002524258,0.000004532144,0.00007934421,0.000015031484,0.0000018150885,0.000014609223,0.00004303868,0.00030007114,0.00001553165,0.9903426,0.005279998,0.0039009103],"study_design_scores_gemma":[0.000006651679,0.000008926347,0.000767899,0.00016432971,0.0000036259592,0.00009124572,0.00019989476,0.00083045434,0.000074648575,0.8462206,0.15162309,0.000008661148],"about_ca_topic_score_codex":0.002555104,"about_ca_topic_score_gemma":0.0014342334,"teacher_disagreement_score":0.013618792,"about_ca_system_score_codex":0.0037602137,"about_ca_system_score_gemma":0.0015503451,"threshold_uncertainty_score":0.045559406},"labels":[],"label_agreement":null},{"id":"W2775388884","doi":"10.4018/978-1-4666-5888-2.ch314","title":"Internetization and the New Global Economy of the 21st Century","year":2014,"lang":"en","type":"book-chapter","venue":"Advances in information quality and management","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Economics; Economy","score_opus":0.01584425113739032,"score_gpt":0.22584906392022872,"score_spread":0.2100048127828384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775388884","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":[0.008269178,0.10853355,0.0013782613,0.02412302,0.0012495633,0.000015376569,0.00017639036,0.00011951091,0.85613513],"genre_scores_gemma":[0.18639758,0.34417903,0.0026372455,0.008577464,0.004258343,0.00006365464,0.00050215103,0.00019910627,0.45318547],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997584,0.000052404142,0.000007928278,0.000026448144,0.00009713712,0.000057602138],"domain_scores_gemma":[0.99974674,0.000111592984,0.000030152512,0.000022038517,0.00004070603,0.000048745693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024497468,0.0002924683,0.00022153973,0.0011741136,0.00096517726,0.007076348,0.00033009576,0.0011357107,0.01966594],"category_scores_gemma":[0.0007293719,0.00012381299,0.00027832694,0.004501432,0.0017648167,0.0060534696,0.0013269274,0.0017989401,0.0026786649],"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":[0.00001301002,0.000025689113,0.0006756355,0.0002639594,0.00000942569,0.00011599786,0.0015825146,0.00034829535,0.00021458193,0.7072297,0.16745624,0.12206498],"study_design_scores_gemma":[0.0000029019486,0.0000072367434,0.0013524523,0.0003740036,0.0000053100384,0.00012604547,0.0010188116,0.00016809133,0.00008912215,0.094930805,0.9019189,0.000006348923],"about_ca_topic_score_codex":0.003427393,"about_ca_topic_score_gemma":0.007691872,"teacher_disagreement_score":0.01966594,"about_ca_system_score_codex":0.0020072267,"about_ca_system_score_gemma":0.0022820225,"threshold_uncertainty_score":0.0657891},"labels":[],"label_agreement":null},{"id":"W2775734173","doi":"10.3386/w24532","title":"Geography and Agricultural Productivity: Cross-Country Evidence from Micro Plot-Level Data","year":2018,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Productivity; Agriculture; Plot (graphics); Economics; Economic geography; Agricultural economics; Agricultural productivity; Geography; Regional science; Macroeconomics; Mathematics; Statistics","score_opus":0.5660886096243322,"score_gpt":0.48130362934574794,"score_spread":0.08478498027858422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775734173","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":[0.9829028,0.0023372518,0.0022135386,0.00052231766,0.000024975885,0.000012541667,0.007411733,0.000045931636,0.0045289258],"genre_scores_gemma":[0.99345315,0.0008580184,0.00059524324,0.000036959493,0.000020370018,0.00000969196,0.004658548,0.000012219324,0.00035589372],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982657,0.00077120267,0.00014380932,0.00036332634,0.00026167466,0.00019433681],"domain_scores_gemma":[0.95981836,0.017475564,0.015452162,0.004043198,0.0021617217,0.0010489128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002358157,0.00027668578,0.00044545255,0.0024466712,0.00037744228,0.001578102,0.0004988577,0.00029321513,0.0029119484],"category_scores_gemma":[0.016080655,0.000214746,0.0007629229,0.00882113,0.00088140374,0.0010678764,0.0015428043,0.00065374485,0.0007099027],"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":[0.00007719549,0.000035283934,0.98579305,0.000074131065,0.0007302246,0.0001513604,0.0002839954,0.003290018,0.000085285195,0.001228651,0.0014051774,0.0068457127],"study_design_scores_gemma":[0.000018068618,0.000049082915,0.9914342,0.00006431744,0.00031919844,0.00009895957,0.0008595749,0.002069898,0.00019040007,0.0011416354,0.0037368883,0.000017792392],"about_ca_topic_score_codex":0.032932136,"about_ca_topic_score_gemma":0.032273047,"teacher_disagreement_score":0.032932136,"about_ca_system_score_codex":0.00042274178,"about_ca_system_score_gemma":0.00029609824,"threshold_uncertainty_score":0.06548089},"labels":[],"label_agreement":null},{"id":"W2777841177","doi":"10.1016/j.ruje.2017.12.003","title":"Sources of long run economic growth in Russia before and after the global financial crisis","year":2017,"lang":"en","type":"article","venue":"Russian Journal of Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":46,"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":"Total factor productivity; Financial crisis; Economics; Productivity; Growth accounting; Context (archaeology); Capital (architecture); Capital deepening; Capital intensity; Human capital; Economy; Labour economics; Financial capital; Capital formation; Macroeconomics; Market economy; Geography","score_opus":0.013201347309890614,"score_gpt":0.20877854793262024,"score_spread":0.19557720062272962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2777841177","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":[0.98453844,0.0019373798,0.0003723959,0.0020807055,0.00007972654,0.0000074062664,0.001956968,0.00004216365,0.008984835],"genre_scores_gemma":[0.9965688,0.0012290088,0.00008192423,0.000051523366,0.000040981395,0.0000048473066,0.0010610917,0.000013512323,0.0009483866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973685,0.000029306777,0.000023317296,0.000045774508,0.00006722612,0.00009747633],"domain_scores_gemma":[0.9993554,0.0000795876,0.0003000942,0.000037945574,0.0001484819,0.00007861605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045456176,0.0002582614,0.00029037974,0.0015703944,0.0006027935,0.0019392099,0.00023122452,0.00037825565,0.0010082695],"category_scores_gemma":[0.001655959,0.00013914483,0.00030114417,0.0018661825,0.0005148268,0.00079902797,0.0015374669,0.00080670835,0.000318261],"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":[0.00060694607,0.000079497084,0.8545354,0.0004152657,0.00022037081,0.0032828317,0.0045322347,0.006703609,0.004389637,0.02504355,0.008527077,0.091663525],"study_design_scores_gemma":[0.000006473839,0.000029093088,0.9803341,0.00012470163,0.000033353037,0.00035054816,0.0019452083,0.0015888893,0.00054463046,0.0019898107,0.013032602,0.00002067874],"about_ca_topic_score_codex":0.015169731,"about_ca_topic_score_gemma":0.008478037,"teacher_disagreement_score":0.015169731,"about_ca_system_score_codex":0.0018898803,"about_ca_system_score_gemma":0.0013161949,"threshold_uncertainty_score":0.03016287},"labels":[],"label_agreement":null},{"id":"W2778129068","doi":"10.34989/sdp-2017-15","title":"Product Sophistication and the Slowdown in Chinese Export Growth","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Slowdown; Sophistication; China; Economics; Product (mathematics); International trade; International economics; Economic slowdown; Business; Economic growth","score_opus":0.017979933861986874,"score_gpt":0.21285722591734776,"score_spread":0.1948772920553609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2778129068","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":[0.99299014,0.00038944292,0.00021811378,0.00036752652,0.0000065929576,0.0000060870366,0.00040904508,0.000016055676,0.005596961],"genre_scores_gemma":[0.9985719,0.0002155169,0.000054907538,0.000016582355,0.000009750394,0.0000028276554,0.00024864724,0.0000035738133,0.00087624806],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998048,0.000012180961,0.000018842613,0.00004932254,0.000050556326,0.00006434706],"domain_scores_gemma":[0.99788374,0.00034169803,0.0009838704,0.00018699898,0.00032432782,0.0002793402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007642669,0.00028569467,0.00023485396,0.0018659596,0.0005260314,0.0012139636,0.00022790897,0.00031773862,0.0039819614],"category_scores_gemma":[0.0026120923,0.00017114883,0.0004265928,0.002670954,0.0007803381,0.0012330425,0.0009943215,0.0006045826,0.00037749196],"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":[0.00026273643,0.000041714862,0.95088,0.00010461294,0.00006289992,0.001064911,0.0028826578,0.0029195808,0.0030223725,0.009069993,0.0016263276,0.028062195],"study_design_scores_gemma":[0.0000048193774,0.000032032767,0.99430746,0.000012553498,0.000020094267,0.00007598214,0.00046304584,0.0013410314,0.0005578848,0.00072895945,0.0024457122,0.0000103416],"about_ca_topic_score_codex":0.029096527,"about_ca_topic_score_gemma":0.019455442,"teacher_disagreement_score":0.029096527,"about_ca_system_score_codex":0.0013038527,"about_ca_system_score_gemma":0.00069474033,"threshold_uncertainty_score":0.057854295},"labels":[],"label_agreement":null},{"id":"W2783006506","doi":"10.3386/w24541","title":"Finding Needles in Haystacks: Artificial Intelligence and Recombinant Growth","year":2018,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Science Foundation Ireland","keywords":"Recombinant DNA; Artificial intelligence; Computer science; Biology; Genetics","score_opus":0.46125563080347276,"score_gpt":0.44712173204729866,"score_spread":0.014133898756174101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783006506","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":[0.07097407,0.008752588,0.8544366,0.019904356,0.00031115292,0.00011532114,0.00030107427,0.00034495318,0.044859927],"genre_scores_gemma":[0.75319177,0.008407442,0.22149622,0.0017772865,0.00034842308,0.0003104293,0.0003088464,0.00017128303,0.013988135],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981579,0.0009015561,0.00008169132,0.00032828955,0.00037698253,0.0001535108],"domain_scores_gemma":[0.9908031,0.0066754846,0.00086956983,0.0010014421,0.0003510769,0.00029933473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044208034,0.0007497525,0.0010101113,0.0015485737,0.0010730006,0.0038011954,0.0012353455,0.0024638753,0.003220711],"category_scores_gemma":[0.017220393,0.00040897232,0.0012893719,0.0026151042,0.00676627,0.0076414505,0.0026448646,0.0025114946,0.00085557165],"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":[0.000026013558,0.000038480764,0.00093851687,0.00007145462,0.000023532264,0.00008547588,0.00017930366,0.024498256,0.0004678555,0.94918656,0.0013822241,0.02310237],"study_design_scores_gemma":[0.000007620139,0.0000122356505,0.00016725452,0.000025063631,0.0000061411815,0.000035372126,0.000039936687,0.03145499,0.00026668844,0.96457356,0.0034006112,0.000010455572],"about_ca_topic_score_codex":0.0019916573,"about_ca_topic_score_gemma":0.0010988206,"teacher_disagreement_score":0.0044208034,"about_ca_system_score_codex":0.0021149826,"about_ca_system_score_gemma":0.0012850919,"threshold_uncertainty_score":0.023379743},"labels":[],"label_agreement":null},{"id":"W2783624733","doi":"","title":"Comparaison des performances productives entre la zone euro et les autre pays de l'OCDE","year":2017,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Humanities; Political science; Art","score_opus":0.07039360683703373,"score_gpt":0.3137387202761463,"score_spread":0.24334511343911258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783624733","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":[0.9865681,0.001396201,0.0014613277,0.00012858414,0.00001520626,0.000009731812,0.0008176334,0.000017480646,0.009585715],"genre_scores_gemma":[0.9939036,0.00087465707,0.0009675401,0.000023156143,0.000016051421,0.000017633223,0.00084746303,0.000012061188,0.0033379432],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993018,0.00015244854,0.000042136995,0.00014971152,0.00018190747,0.00017201823],"domain_scores_gemma":[0.9985257,0.00050120574,0.00029190475,0.00017563251,0.00034229536,0.00016334536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015869387,0.0003250752,0.00040179864,0.0023088502,0.00034258465,0.0026330762,0.00024776382,0.00038648816,0.0036384892],"category_scores_gemma":[0.002455781,0.00013327201,0.0006291368,0.003249713,0.0005495376,0.0010641037,0.00094456505,0.0003596989,0.00036565066],"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":[0.0011336404,0.000112429974,0.8278526,0.0004507672,0.0006197346,0.00045330095,0.0041357605,0.02446597,0.0058579016,0.04558659,0.0012046722,0.08812654],"study_design_scores_gemma":[0.000017805087,0.00011405611,0.97636503,0.00009767644,0.00007600167,0.00017199622,0.0026286864,0.0023911588,0.0012777207,0.0024298208,0.014410169,0.000019833065],"about_ca_topic_score_codex":0.013965859,"about_ca_topic_score_gemma":0.011360408,"teacher_disagreement_score":0.013965859,"about_ca_system_score_codex":0.00095613353,"about_ca_system_score_gemma":0.00068477803,"threshold_uncertainty_score":0.027769089},"labels":[],"label_agreement":null},{"id":"W2784911183","doi":"10.1111/j.1467-937x.2009.00571.x","title":"Managerial Skills Acquisition and the Theory of Economic Development","year":2009,"lang":"en","type":"article","venue":"The Review of Economic Studies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; University of British Columbia","funders":"","keywords":"Convergence (economics); Dreyfus model of skill acquisition; Process (computing); Productivity; Key (lock); Economics; Growth accounting; Best practice; Business; Marketing; Industrial organization; Knowledge management; Computer science; Total factor productivity; Economic growth; Management","score_opus":0.027849631254070202,"score_gpt":0.2540066897131214,"score_spread":0.2261570584590512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784911183","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":[0.18000504,0.09667391,0.1758733,0.08404902,0.0010640997,0.00019154434,0.0012196113,0.00028809273,0.46063533],"genre_scores_gemma":[0.9514584,0.026391188,0.008954133,0.0010560573,0.0004172814,0.00013837761,0.00016930596,0.000019359211,0.011395943],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99895823,0.00059710816,0.000034405264,0.00013889252,0.00013825104,0.00013305507],"domain_scores_gemma":[0.99613625,0.002873387,0.00037859377,0.00013255184,0.0003219961,0.00015717668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018414704,0.00066626596,0.00071604096,0.0022743498,0.0007173773,0.002834567,0.0007449087,0.0012140307,0.0042387843],"category_scores_gemma":[0.0051834392,0.00021492237,0.0004188927,0.0030574184,0.0042124987,0.002800907,0.0013861819,0.0015401271,0.00065080443],"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":[0.000013551629,0.000028661423,0.003356878,0.00012659407,0.000023339158,0.00010572379,0.00027885128,0.014567596,0.000038705082,0.9586045,0.0025215668,0.020334082],"study_design_scores_gemma":[0.00001414593,0.000025069754,0.0028372125,0.00012683493,0.000008420178,0.00006180981,0.00024909092,0.011124802,0.00003308968,0.9707178,0.014788307,0.000013420664],"about_ca_topic_score_codex":0.0073005557,"about_ca_topic_score_gemma":0.0033529578,"teacher_disagreement_score":0.0073005557,"about_ca_system_score_codex":0.003391538,"about_ca_system_score_gemma":0.001832765,"threshold_uncertainty_score":0.02460742},"labels":[],"label_agreement":null},{"id":"W2786224844","doi":"10.2139/ssrn.3115922","title":"Skills, Population Aging, and the Pattern of Trade","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"York University","funders":"","keywords":"Adaptability; Comparative advantage; Population ageing; Affect (linguistics); Panel data; Demographic economics; Population; Life span; Economics; Empirical research; Test (biology); Business; Psychology; International trade; Gerontology; Econometrics; Demography; Medicine","score_opus":0.01080608653244003,"score_gpt":0.20941282936459787,"score_spread":0.19860674283215785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786224844","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":[0.99550074,0.0008163711,0.00024351267,0.0011007055,0.000013019701,0.0000019100023,0.00038750915,0.0000051419793,0.0019310644],"genre_scores_gemma":[0.9990464,0.00022446964,0.000026166048,0.00004624208,0.000020737361,9.964028e-7,0.00012777277,0.000001516202,0.0005057165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985147,0.000039917246,0.000015128499,0.00002855991,0.000013676287,0.000051203904],"domain_scores_gemma":[0.99607724,0.0015447706,0.0014219291,0.00019850016,0.0001943681,0.00056311727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078249606,0.00009191602,0.00013841383,0.0009105375,0.00025739093,0.0009622813,0.00023237513,0.0006006855,0.005780315],"category_scores_gemma":[0.005631224,0.00007819659,0.00021467208,0.0012215403,0.00063489587,0.00078579807,0.00044510365,0.00048633927,0.00050601986],"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":[0.00015947268,0.00004239596,0.98354316,0.00001975425,0.000056033048,0.00015386807,0.00029144558,0.0010112951,0.0002089949,0.0024467325,0.0007431507,0.011323642],"study_design_scores_gemma":[0.000009766645,0.000055208897,0.99062645,0.000019299969,0.000033225995,0.00018767598,0.000937489,0.0019747708,0.000099583405,0.0049316734,0.0011190831,0.000005825777],"about_ca_topic_score_codex":0.006805833,"about_ca_topic_score_gemma":0.010434924,"teacher_disagreement_score":0.006805833,"about_ca_system_score_codex":0.000277926,"about_ca_system_score_gemma":0.00028915645,"threshold_uncertainty_score":0.019337058},"labels":[],"label_agreement":null},{"id":"W2787303594","doi":"","title":"CONVERGENCE HYPOTHESIS: AN APPLICATION ON SELECTED OECD COUNTRIES","year":2018,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Economic Growth and Productivity","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":"Convergence (economics); Unit root; Unit root test; Economics; Per capita income; Panel data; China; Development economics; Demographic economics; Developing country; Closing (real estate); Distribution (mathematics); Divergence (linguistics); Income distribution; Unit (ring theory); Geography; Economic growth; Inequality; Cointegration; Demography; Econometrics","score_opus":0.2419496922522114,"score_gpt":0.4591885662668446,"score_spread":0.2172388740146332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787303594","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":[0.9546611,0.000730743,0.010234288,0.0005195428,0.00006873712,0.00028196117,0.0017746896,0.000092168346,0.03163673],"genre_scores_gemma":[0.99423885,0.0004095952,0.0029147984,0.00006594808,0.00002940893,0.00017171958,0.0011620508,0.000013031777,0.0009945933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980248,0.0012509996,0.0001221959,0.00016981407,0.00023590788,0.00019629503],"domain_scores_gemma":[0.9926715,0.00471395,0.0008376579,0.0003864644,0.0011566819,0.00023370096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054761963,0.00037761359,0.000543,0.0050144484,0.0008075202,0.0010915108,0.00047760998,0.00037368375,0.004754408],"category_scores_gemma":[0.011927311,0.00008503666,0.00086866814,0.0051789484,0.00080479536,0.0009898198,0.0013588344,0.000512088,0.00038863235],"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":[0.00066231523,0.00035724815,0.843214,0.00048757766,0.000582721,0.0030208845,0.0031298,0.016522415,0.0004149379,0.033968467,0.0072521106,0.09038754],"study_design_scores_gemma":[0.00041304782,0.0020091352,0.80528873,0.00073435064,0.0011292341,0.0017445034,0.038398225,0.08954568,0.0028958833,0.027729059,0.029996835,0.00011534709],"about_ca_topic_score_codex":0.016257834,"about_ca_topic_score_gemma":0.0069654607,"teacher_disagreement_score":0.016257834,"about_ca_system_score_codex":0.00095372123,"about_ca_system_score_gemma":0.0013453164,"threshold_uncertainty_score":0.0323264},"labels":[],"label_agreement":null},{"id":"W2787834189","doi":"10.1007/978-3-319-68678-3_9","title":"The Decline of Manufacturing in Canada: Resource Curse, Productivity Malaise or Natural Evolution?","year":2018,"lang":"en","type":"book-chapter","venue":"Springer proceedings in business and economics","topic":"Economic Growth and Productivity","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":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Dutch disease; Manufacturing sector; Productivity; Liberian dollar; Commodity; Economics; Manufacturing; Natural resource; Recession; Economy; Business; Exchange rate; Market economy; International economics; Economic growth; Political science; Monetary economics; Macroeconomics","score_opus":0.017596807344710162,"score_gpt":0.18162034419592943,"score_spread":0.16402353685121926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787834189","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20501298,0.12413458,0.0026401172,0.32544598,0.0029897692,0.000065557804,0.010403786,0.00043205722,0.32887515],"genre_scores_gemma":[0.78519905,0.050661962,0.002238583,0.0109300865,0.0006546224,0.000023737253,0.0024220764,0.00021170247,0.14765811],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99904543,0.000028783725,0.00002362238,0.00008387969,0.0003339963,0.0004843904],"domain_scores_gemma":[0.9984487,0.00013276658,0.00014129249,0.00006875724,0.00088374625,0.0003247204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008501302,0.00043377292,0.0005807536,0.0021575473,0.005351189,0.0049944418,0.0016572145,0.0018463657,0.013546033],"category_scores_gemma":[0.0037514698,0.0002895871,0.00053013396,0.0066193333,0.0037036212,0.0018883682,0.0010532932,0.0021023955,0.0008505191],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020138644,0.000044355453,0.04339423,0.000468695,0.000119957134,0.0006343384,0.0073126717,0.0039234073,0.0008655533,0.40381873,0.33006692,0.20914978],"study_design_scores_gemma":[0.00002141831,0.000020725689,0.15462375,0.0006186684,0.00004430399,0.00023413173,0.007070595,0.0020753976,0.00053391786,0.025348734,0.80931765,0.000090716574],"about_ca_topic_score_codex":0.9972367,"about_ca_topic_score_gemma":0.9984707,"teacher_disagreement_score":0.10343248,"about_ca_system_score_codex":0.10343248,"about_ca_system_score_gemma":0.18824078,"threshold_uncertainty_score":0.75045866},"labels":[],"label_agreement":null},{"id":"W2788542172","doi":"10.2139/ssrn.3118022","title":"The Economics of Data: Implications for the Data-Driven Economy","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":77,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Asia Pacific Foundation of Canada; Centre for International Governance Innovation","funders":"","keywords":"Endogenous growth theory; Economics; Economic rent; Industrialisation; Monopoly; Externality; Human capital; Information asymmetry; Creative destruction; Economic system; Value (mathematics); Industrial organization; Microeconomics; Market economy","score_opus":0.0732214164375783,"score_gpt":0.27714067812290216,"score_spread":0.20391926168532387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788542172","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024679342,0.020630443,0.32245535,0.5768962,0.0032886697,0.00033431084,0.004266791,0.00034874966,0.04710017],"genre_scores_gemma":[0.8113959,0.024552993,0.10319809,0.038047295,0.010791951,0.0008026187,0.0014368021,0.0004688487,0.009305635],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97011715,0.020539062,0.0012375427,0.0023691298,0.0053183963,0.0004187579],"domain_scores_gemma":[0.46976227,0.47729257,0.013630839,0.02134946,0.014997078,0.0029677327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.050042514,0.0006595637,0.0017127197,0.003837338,0.0015842688,0.013582016,0.0034359887,0.0069596223,0.009656435],"category_scores_gemma":[0.31247982,0.0011701393,0.0009967202,0.005793876,0.013316705,0.028619165,0.004218377,0.009640015,0.0011568432],"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":[0.00007432544,0.000051642957,0.0044046855,0.0001677218,0.00006009238,0.00017086857,0.00016320728,0.0044792914,0.00009016678,0.96606064,0.010863181,0.013414219],"study_design_scores_gemma":[0.000043163724,0.00001529879,0.00097438204,0.00017108841,0.000019943489,0.0001442316,0.00022195473,0.011702788,0.00016901248,0.97675055,0.009757849,0.000029796618],"about_ca_topic_score_codex":0.0045521576,"about_ca_topic_score_gemma":0.0036060386,"teacher_disagreement_score":0.050042514,"about_ca_system_score_codex":0.0063518193,"about_ca_system_score_gemma":0.0044341357,"threshold_uncertainty_score":0.26465327},"labels":[],"label_agreement":null},{"id":"W2790528637","doi":"10.1504/ijcee.2018.10011265","title":"Assessment of R&amp;D and its impact on Indian manufacturing industries","year":2018,"lang":"en","type":"article","venue":"International Journal of Computational Economics and Econometrics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Business; Industrial organization; Manufacturing engineering; Computer science; Engineering","score_opus":0.046232036168498206,"score_gpt":0.2886137914636744,"score_spread":0.2423817552951762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790528637","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":[0.9821248,0.0005865622,0.0011560525,0.0002595824,0.0000073293636,0.000012124861,0.0013906248,0.000041668067,0.01442112],"genre_scores_gemma":[0.9975889,0.00031400207,0.00030461157,0.00002009267,0.000006623453,0.000005357251,0.00067610684,0.0000050895287,0.0010792057],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993679,0.00010950834,0.00003951903,0.00007580446,0.00021536066,0.00019184446],"domain_scores_gemma":[0.9973979,0.0010654312,0.0005789266,0.00020730299,0.0005532784,0.00019718044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062394224,0.00031961288,0.00026228483,0.0024503237,0.00029946986,0.0017478873,0.0004247038,0.00032794022,0.0029333965],"category_scores_gemma":[0.0026980143,0.00015777138,0.00089205825,0.004111856,0.0003958951,0.0007683614,0.0008364963,0.000576952,0.0005251159],"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":[0.00023603335,0.00014368368,0.86552966,0.000258255,0.00031212522,0.0010178409,0.00040367089,0.06886204,0.0039046418,0.013126152,0.0014973969,0.044708423],"study_design_scores_gemma":[0.000004379412,0.00012598521,0.96753156,0.000034105255,0.00012433957,0.00036440522,0.0011468837,0.021372842,0.0023580813,0.0020253395,0.004887871,0.000024177005],"about_ca_topic_score_codex":0.018705577,"about_ca_topic_score_gemma":0.012312524,"teacher_disagreement_score":0.018705577,"about_ca_system_score_codex":0.0013617164,"about_ca_system_score_gemma":0.0010286239,"threshold_uncertainty_score":0.037193418},"labels":[],"label_agreement":null},{"id":"W2791133839","doi":"10.5376/ijh.2018.08.0002","title":"Resource Productivity of Smallholder Vegetable (&lt;i&gt; Corchorus olitorius&lt;/i&gt;) (L.) Farms in Nigeria","year":2018,"lang":"en","type":"article","venue":"International Journal of Horticulture","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corchorus olitorius; Productivity; Agricultural science; Agroforestry; Biology; Horticulture; Economics; Economic growth","score_opus":0.016508784921226847,"score_gpt":0.22450051665753398,"score_spread":0.20799173173630714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791133839","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":[0.9996438,0.000018129445,0.000020224605,0.000006679794,2.012471e-7,0.000001251113,0.000028115204,2.1489534e-7,0.00028130802],"genre_scores_gemma":[0.99960107,0.00003682643,0.0000561543,0.0000018564251,2.1347616e-7,0.0000014261506,0.000028225868,2.3642887e-7,0.00027399344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990964,0.00001833342,0.000005709896,0.000021211621,0.000015734571,0.000029331279],"domain_scores_gemma":[0.999671,0.000112038986,0.00014037956,0.000011189254,0.000031370477,0.000034087745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024320689,0.00012176078,0.000100455225,0.0003700797,0.00024078011,0.0003582228,0.000116629046,0.000114154274,0.00095993985],"category_scores_gemma":[0.00045268273,0.000067827794,0.000071344206,0.00051502924,0.00030195835,0.00028162994,0.00021014782,0.00011412129,0.00010988213],"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":[0.0002388461,0.00012023529,0.9661022,0.00007091805,0.000014880308,0.0011990848,0.001954764,0.0012639696,0.011692768,0.0007324076,0.00016470003,0.016445206],"study_design_scores_gemma":[0.000003148962,0.00012920197,0.9942264,0.000014575366,0.000005406914,0.00015827078,0.003232558,0.0010094931,0.00062292814,0.00018151701,0.0004123772,0.000004192172],"about_ca_topic_score_codex":0.015658878,"about_ca_topic_score_gemma":0.058132518,"teacher_disagreement_score":0.015658878,"about_ca_system_score_codex":0.00072411017,"about_ca_system_score_gemma":0.00035418235,"threshold_uncertainty_score":0.0311355},"labels":[],"label_agreement":null},{"id":"W2794320541","doi":"10.1111/boer.12130","title":"PERSISTENCE IN CONVERGENCE AND CLUB FORMATION","year":2018,"lang":"en","type":"article","venue":"Bulletin of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Univariate; Club; Convergence (economics); Econometrics; Conditional convergence; Benchmark (surveying); Multivariate statistics; Convergence clubs; Economics; Per capita; Persistence (discontinuity); Statistics; Mathematics; Macroeconomics; Geography; Biology; Engineering; Demography","score_opus":0.1680486824684881,"score_gpt":0.3152419008515419,"score_spread":0.14719321838305383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794320541","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":[0.97861403,0.0001690348,0.011326572,0.0003977889,0.000017900476,0.000025948299,0.00008351566,0.000039109273,0.0093262745],"genre_scores_gemma":[0.9992854,0.000020896954,0.00032977498,0.0000102640915,0.000009574058,0.000005930229,0.00002191135,0.0000026308055,0.00031377657],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983546,0.00060354033,0.0001433854,0.00031510918,0.00027112398,0.00031217907],"domain_scores_gemma":[0.953347,0.020506632,0.014803026,0.00480867,0.0029654016,0.0035693583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033733197,0.00013816486,0.00063441205,0.0022714,0.0010088572,0.0023005842,0.0007091488,0.00072248,0.007762457],"category_scores_gemma":[0.032482307,0.00014583183,0.00043152782,0.0013353812,0.0025752576,0.0016970662,0.0023851036,0.00086030044,0.00038645227],"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":[0.00068413536,0.00047267057,0.68891,0.00023252827,0.0003796396,0.0013191318,0.0033538304,0.028827311,0.0022779384,0.19003753,0.0022695966,0.081235714],"study_design_scores_gemma":[0.00009683109,0.00050385395,0.5244362,0.00018282705,0.0001338436,0.0009898347,0.0055026407,0.1171534,0.0025242623,0.34400102,0.004383178,0.000092185204],"about_ca_topic_score_codex":0.0017986072,"about_ca_topic_score_gemma":0.0011324531,"teacher_disagreement_score":0.007762457,"about_ca_system_score_codex":0.0007703878,"about_ca_system_score_gemma":0.00057622744,"threshold_uncertainty_score":0.025968015},"labels":[],"label_agreement":null},{"id":"W2794710575","doi":"10.1257/mac.20160236","title":"Wages, Human Capital, and Barriers to Structural Transformation","year":2018,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":113,"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":"Human capital; Agriculture; Economics; Sample (material); Labour economics; Large sample; Demographic economics; Geography; Economic growth","score_opus":0.011637161301652713,"score_gpt":0.2316624375325702,"score_spread":0.2200252762309175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794710575","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":[0.987998,0.00024150182,0.0017645068,0.0005855519,0.0000052520504,0.0000096989625,0.00048276968,0.000017888819,0.008894801],"genre_scores_gemma":[0.99925333,0.000053971657,0.00012492509,0.000012292236,0.0000026392397,0.000002092902,0.00011159557,0.0000013084637,0.0004377633],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99965405,0.00007034811,0.000021777,0.000059610706,0.00007608186,0.000118139564],"domain_scores_gemma":[0.9936215,0.0020842159,0.003166789,0.00029381967,0.00034431173,0.000489361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006713607,0.0001299619,0.00019972265,0.00076784904,0.00061149587,0.0018057695,0.00032623045,0.00033570954,0.0071616867],"category_scores_gemma":[0.0069625494,0.000109202636,0.00015204231,0.001345961,0.0011446517,0.0008789578,0.0011005846,0.0006222572,0.00039503045],"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":[0.00014680173,0.00014937599,0.910684,0.0000761447,0.00006771566,0.00025936833,0.0016207808,0.01564086,0.0005540028,0.044811495,0.001858783,0.02413065],"study_design_scores_gemma":[0.000016856293,0.000071343646,0.93768567,0.000067094705,0.0000297345,0.00021005151,0.0029615164,0.014957267,0.0005779613,0.038757853,0.0046468405,0.00001786681],"about_ca_topic_score_codex":0.01994814,"about_ca_topic_score_gemma":0.037332278,"teacher_disagreement_score":0.01994814,"about_ca_system_score_codex":0.0012328464,"about_ca_system_score_gemma":0.00078348134,"threshold_uncertainty_score":0.03966403},"labels":[],"label_agreement":null},{"id":"W2795717732","doi":"10.2139/ssrn.3098592","title":"The Differential Effects of Population Aging on Provincial GDP Per Capita and the Role of Productivity Growth as a Possible Offset","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Per capita; Productivity; Economics; Offset (computer science); Differential (mechanical device); Population ageing; Population growth; Demographic economics; Population; Agricultural economics; Econometrics; Economic growth; Demography; Engineering; Computer science","score_opus":0.003713678505599424,"score_gpt":0.1832035074574841,"score_spread":0.17948982895188467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795717732","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":[0.9377418,0.0037882642,0.0025469381,0.01620222,0.00022661373,0.00002945056,0.0033650761,0.00009322969,0.03600638],"genre_scores_gemma":[0.9929304,0.0007690326,0.00024600068,0.00025849434,0.00006738676,0.000004649141,0.00037322877,0.000018369534,0.0053325295],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998796,0.00027732263,0.00008188789,0.00013538124,0.00018856024,0.0005208013],"domain_scores_gemma":[0.99419457,0.0019708672,0.0012442224,0.0004026543,0.0013373467,0.0008503499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020562557,0.00039818708,0.00057647354,0.0008236969,0.0006889094,0.0016986125,0.0007742429,0.0006930527,0.015233978],"category_scores_gemma":[0.010247538,0.00017444717,0.0009675997,0.0016449491,0.00092337717,0.0012137452,0.001461645,0.0010244981,0.0006199958],"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":[0.0019519868,0.00017815645,0.7970866,0.0003950382,0.00052567985,0.0011213872,0.0023205644,0.01117222,0.0026175606,0.09867634,0.00705697,0.07689751],"study_design_scores_gemma":[0.00006481366,0.00021912342,0.95805305,0.000116175186,0.00046305242,0.00024037877,0.0029387195,0.0064795003,0.0015494643,0.01680245,0.013042299,0.00003102959],"about_ca_topic_score_codex":0.1585935,"about_ca_topic_score_gemma":0.19255492,"teacher_disagreement_score":0.84140646,"about_ca_system_score_codex":0.0029253394,"about_ca_system_score_gemma":0.0048919264,"threshold_uncertainty_score":0.31534076},"labels":[],"label_agreement":null},{"id":"W2798166468","doi":"","title":"Power to the Periphery? The failure of Regional Convergence in Canada, 1890-2006","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Boom; Convergence (economics); Divergence (linguistics); Economic geography; Resource (disambiguation); Economics; Geography; Inequality; Power (physics); Development economics; Regional science; Economic growth; Environmental science","score_opus":0.032757386549209726,"score_gpt":0.2528901596643291,"score_spread":0.22013277311511936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2798166468","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":[0.93866324,0.004433446,0.0011234074,0.0047344444,0.000045349156,0.00001536119,0.005963226,0.000044243545,0.044977244],"genre_scores_gemma":[0.9950761,0.0010903516,0.00033133,0.00009032886,0.000010859095,0.0000024396722,0.00087762566,0.00001437975,0.0025065064],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993315,0.00002809345,0.000018450508,0.00011039141,0.00015712049,0.0003544816],"domain_scores_gemma":[0.99821824,0.00012032921,0.00016850593,0.00006100704,0.0011491441,0.00028277948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009070651,0.00022562555,0.00049486285,0.0027542922,0.0035225197,0.0026886517,0.00082162855,0.0002564601,0.0031220587],"category_scores_gemma":[0.0046556448,0.00014551873,0.0003041368,0.0063669966,0.0022492292,0.0011230449,0.0014638647,0.0010119708,0.00017351833],"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":[0.00039436965,0.00003999468,0.68994063,0.00021826601,0.000180045,0.000543511,0.028738793,0.006798026,0.0005678043,0.08631259,0.028222492,0.15804343],"study_design_scores_gemma":[0.000007731448,0.000015354688,0.93766564,0.00017603324,0.00006334006,0.00009068962,0.011494534,0.0024928886,0.0005191456,0.0028841516,0.044555772,0.000034782173],"about_ca_topic_score_codex":0.9957457,"about_ca_topic_score_gemma":0.9970282,"teacher_disagreement_score":0.045700222,"about_ca_system_score_codex":0.045700222,"about_ca_system_score_gemma":0.03923838,"threshold_uncertainty_score":0.33157986},"labels":[],"label_agreement":null},{"id":"W2799998826","doi":"","title":"TiO2: : False bottom","year":2015,"lang":"eo","type":"article","venue":"Industrial Minerals","topic":"Economic Growth and Productivity","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":"Negotiation; Quarter (Canadian coin); Product (mathematics); External trade; Raw material; Agricultural economics; Commerce; Business; Economics; International trade; Mathematics; Geography; Chemistry; Archaeology; Political science; Law; Geometry","score_opus":0.19110051415413096,"score_gpt":0.25889202865405836,"score_spread":0.0677915144999274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799998826","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0060555213,0.0059152734,0.0030207478,0.59163123,0.057156898,0.000037393573,0.0028297266,0.0021797745,0.3311734],"genre_scores_gemma":[0.08505913,0.005949865,0.0025261592,0.23586829,0.011531134,0.000053229567,0.002004187,0.00213194,0.6548761],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99627364,0.00042000154,0.00015152694,0.00047106517,0.0021422417,0.0005415088],"domain_scores_gemma":[0.9938047,0.0012791931,0.0003498225,0.0005654468,0.0031777008,0.0008230867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035028209,0.0009518122,0.0004750612,0.001238811,0.0035443269,0.010156088,0.0013614026,0.0068415934,0.065484524],"category_scores_gemma":[0.013660382,0.00045332525,0.00083079515,0.000991632,0.003312374,0.0073420065,0.002400937,0.006922931,0.040616516],"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":[0.00006561625,0.000019770761,0.00060282415,0.000073488125,0.000008740236,0.00013214687,0.00019238205,0.000031004325,0.00040234855,0.019769639,0.96483254,0.013869439],"study_design_scores_gemma":[0.000013080931,0.000024047542,0.0008840014,0.000106105465,0.000009093906,0.00018890339,0.0006361648,0.000107794884,0.0008728713,0.0058304854,0.99129605,0.000031387124],"about_ca_topic_score_codex":0.029106533,"about_ca_topic_score_gemma":0.03752271,"teacher_disagreement_score":0.065484524,"about_ca_system_score_codex":0.00582031,"about_ca_system_score_gemma":0.003486791,"threshold_uncertainty_score":0.21906757},"labels":[],"label_agreement":null},{"id":"W2802683739","doi":"10.1111/caje.12330","title":"Are factor biases and substitution identifiable? The Canadian evidence","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Global Affairs Canada; University of Victoria","funders":"","keywords":"Economics; Elasticity of substitution; Substitution (logic); Impossibility; Econometrics; Welfare economics; Mathematical economics; Production (economics); Microeconomics; Philosophy; Political science","score_opus":0.31360082780575255,"score_gpt":0.20765574214595264,"score_spread":0.1059450856597999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802683739","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":[0.65938884,0.050372917,0.031679414,0.025318239,0.00033299267,0.00017257976,0.03460274,0.00036115156,0.19777122],"genre_scores_gemma":[0.9799691,0.0064231968,0.0024474878,0.0007361991,0.000057729736,0.000014224311,0.0026394352,0.000049200233,0.007663496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99356467,0.0009609174,0.00044502786,0.0013152948,0.002857371,0.00085664535],"domain_scores_gemma":[0.9690721,0.011880584,0.004630356,0.0046306425,0.009184435,0.00060185447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063346825,0.0006688713,0.0010030284,0.0033085996,0.002006904,0.0029149947,0.0017774962,0.00071589457,0.012219667],"category_scores_gemma":[0.028812714,0.0003831924,0.001766068,0.009644532,0.0031200766,0.0015556781,0.0013489935,0.0011890834,0.0008516893],"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":[0.0005445219,0.000051154097,0.59195673,0.0017179735,0.0018645296,0.0009586987,0.0044336584,0.015474198,0.00080825936,0.19721018,0.023558514,0.16142167],"study_design_scores_gemma":[0.00009864596,0.000074058626,0.7673111,0.0016527142,0.0016003689,0.00041221897,0.006643519,0.013982069,0.0027946117,0.04550491,0.15967287,0.00025299235],"about_ca_topic_score_codex":0.97962004,"about_ca_topic_score_gemma":0.9675716,"teacher_disagreement_score":0.02037996,"about_ca_system_score_codex":0.018424189,"about_ca_system_score_gemma":0.028678399,"threshold_uncertainty_score":0.13367748},"labels":[],"label_agreement":null},{"id":"W2804419026","doi":"","title":"Steeling the U.S. Economy for the Impacts of Tariffs","year":2018,"lang":"en","type":"article","venue":"Economics Letters","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Quarter (Canadian coin); Product (mathematics); Economics; Capital (architecture); Trim; Gross domestic product; Investment (military); Trade war; International economics; Business; International trade; Macroeconomics; China; Engineering; Politics","score_opus":0.026417922639284015,"score_gpt":0.20496693853168618,"score_spread":0.17854901589240216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804419026","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":[0.18540987,0.007720185,0.014262397,0.13568313,0.0031939442,0.00008801052,0.0019090602,0.00030966263,0.6514237],"genre_scores_gemma":[0.9294536,0.0041176043,0.0030082488,0.008658296,0.00048768564,0.000033739994,0.00063933845,0.000051103583,0.053550333],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944586,0.000114391565,0.00001817548,0.000052509906,0.00023704427,0.00013194545],"domain_scores_gemma":[0.9989837,0.00019499288,0.00019795781,0.00015335117,0.00034237985,0.0001276477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082033296,0.00036897353,0.00023728391,0.0006484761,0.0015114581,0.002840991,0.0002920885,0.0015886364,0.010928712],"category_scores_gemma":[0.003214942,0.00015588512,0.0004673826,0.00075625663,0.001041373,0.0014525314,0.0008976861,0.002307965,0.0019791422],"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":[0.00026523214,0.000103935265,0.015399327,0.00010180655,0.0000592841,0.00034800792,0.00044823604,0.010087899,0.0030401854,0.6187,0.18528907,0.16615702],"study_design_scores_gemma":[0.00007797181,0.00033803226,0.041150354,0.00058235985,0.00007002384,0.0002940922,0.0018904915,0.011000284,0.0032429642,0.39126852,0.54999006,0.00009489878],"about_ca_topic_score_codex":0.027659446,"about_ca_topic_score_gemma":0.043490067,"teacher_disagreement_score":0.027659446,"about_ca_system_score_codex":0.0016806714,"about_ca_system_score_gemma":0.0029806558,"threshold_uncertainty_score":0.054996908},"labels":[],"label_agreement":null},{"id":"W2805684079","doi":"10.3846/20294913.2017.1280557","title":"TECHNOLOGICAL SOURCES OF ECONOMIC GROWTH IN EUROPE AND THE U.S.","year":2018,"lang":"en","type":"article","venue":"Technological and Economic Development of Economy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Junta de Andalucía; Universidad de Málaga","keywords":"Economics; Technological change; Technical change; Investment (military); Growth accounting; Productivity; Technical progress; Human capital; Total factor productivity; General equilibrium theory; Capital accumulation; Capital (architecture); Growth model; Macroeconomics; Economic growth","score_opus":0.024689143060715294,"score_gpt":0.19408590342006415,"score_spread":0.16939676035934886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805684079","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":[0.9727922,0.005988439,0.0006615783,0.0007974126,0.000035771733,0.000008330032,0.0028066793,0.000035459416,0.01687403],"genre_scores_gemma":[0.99273795,0.0033465528,0.00029943167,0.000053347732,0.000028864704,0.0000075414355,0.0024009573,0.000009970714,0.0011153569],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997323,0.000047875445,0.00002261834,0.000042507454,0.00006899267,0.000085583335],"domain_scores_gemma":[0.9989806,0.0002881167,0.00038778325,0.00005314204,0.00020225467,0.00008819318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006588541,0.00029929972,0.00020467954,0.0037422352,0.0002446822,0.0011693347,0.00013544405,0.0002376081,0.000738771],"category_scores_gemma":[0.002183004,0.000085029205,0.00038243935,0.005917287,0.00034493374,0.0007181331,0.0011589471,0.00031168852,0.0002275186],"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":[0.00020609846,0.00006579617,0.87309796,0.000121515084,0.0001669708,0.0006845587,0.0008372547,0.008067815,0.0005480084,0.009933585,0.0043299203,0.101940624],"study_design_scores_gemma":[0.000008743989,0.000029806171,0.98036134,0.000075888114,0.00006257567,0.00024575912,0.0007188815,0.0014787328,0.00052152784,0.0015847189,0.014896963,0.0000151129],"about_ca_topic_score_codex":0.019079912,"about_ca_topic_score_gemma":0.020380793,"teacher_disagreement_score":0.019079912,"about_ca_system_score_codex":0.00084417535,"about_ca_system_score_gemma":0.0007294918,"threshold_uncertainty_score":0.03793776},"labels":[],"label_agreement":null},{"id":"W2883093295","doi":"","title":"Real GDP Fourth-Quarter 2007 Advance Estimate","year":2008,"lang":"en","type":"article","venue":"Economic Trends","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Real gross domestic product; Statistic; Economics; Econometrics; Statistics; Mathematics; Geography","score_opus":0.02427981675665927,"score_gpt":0.2304416675576238,"score_spread":0.20616185080096452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883093295","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02297201,0.0035184517,0.0046430337,0.0056372858,0.004057512,0.00013260482,0.8170927,0.0014856781,0.14046082],"genre_scores_gemma":[0.064459644,0.004212629,0.002534327,0.00077661127,0.0009175942,0.0002624377,0.8339877,0.00035252064,0.09249663],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99908376,0.000048791662,0.000056216573,0.00010478606,0.000605158,0.00010130966],"domain_scores_gemma":[0.99711514,0.000115740404,0.00020973355,0.00009329602,0.0023791369,0.00008702666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063671015,0.0007839903,0.0004207394,0.0041415566,0.0003070201,0.0014796392,0.0005653969,0.00057485496,0.015555327],"category_scores_gemma":[0.0035644255,0.00029294798,0.00043678426,0.003951535,0.000112094946,0.0009886948,0.00067263324,0.0016290373,0.026216112],"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":[0.000109970344,0.000041984444,0.012931677,0.00021007343,0.000027723836,0.00006791521,0.000034065793,0.0019911786,0.00013912535,0.003506915,0.9545612,0.026378214],"study_design_scores_gemma":[0.00003992598,0.000060152677,0.07582169,0.0001962901,0.000053875738,0.00011958396,0.00013936227,0.00282235,0.0017463082,0.001148771,0.9178227,0.00002889434],"about_ca_topic_score_codex":0.051135723,"about_ca_topic_score_gemma":0.043672506,"teacher_disagreement_score":0.051135723,"about_ca_system_score_codex":0.0017376208,"about_ca_system_score_gemma":0.0020064313,"threshold_uncertainty_score":0.101676166},"labels":[],"label_agreement":null},{"id":"W2883372792","doi":"","title":"Third-Quarter GDP","year":2007,"lang":"en","type":"article","venue":"Economic Trends","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Investment (military); Gross domestic product; Economics; Consumption (sociology); Real gross domestic product; Gross private domestic investment; Agricultural economics; Monetary economics; Production (economics); Return on investment; Economic growth; Geography; Macroeconomics","score_opus":0.02208843835284996,"score_gpt":0.21798352051644568,"score_spread":0.19589508216359572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883372792","genre_codex":"dataset","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":[0.05960649,0.0035318863,0.0023524093,0.0047465144,0.0020302965,0.00015224513,0.698304,0.002505321,0.22677086],"genre_scores_gemma":[0.13720335,0.0045282803,0.0022016647,0.0014658461,0.0005456763,0.0003654074,0.69043034,0.00068225304,0.1625772],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99895656,0.00007938743,0.00007230148,0.00016745877,0.0004593578,0.00026497402],"domain_scores_gemma":[0.9983368,0.000073402276,0.00025174936,0.00014424167,0.0010705622,0.00012327447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005503178,0.0008458513,0.0005948146,0.0027980423,0.0005450857,0.0023388092,0.00081833935,0.00056701136,0.055054933],"category_scores_gemma":[0.002800425,0.00021390691,0.00073667,0.0047792853,0.00018356479,0.00082920236,0.0010790793,0.0012866351,0.051144626],"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":[0.00019853916,0.00005445958,0.026951581,0.00039516887,0.00007432987,0.0001374425,0.00023702503,0.0010662245,0.0005473311,0.010748126,0.8896344,0.0699554],"study_design_scores_gemma":[0.000025908486,0.00004986772,0.06520916,0.0001077075,0.000032534914,0.0002605971,0.0003324331,0.0007184829,0.0013277106,0.0016495858,0.93026596,0.000020014457],"about_ca_topic_score_codex":0.024634933,"about_ca_topic_score_gemma":0.012721288,"teacher_disagreement_score":0.055054933,"about_ca_system_score_codex":0.0019344011,"about_ca_system_score_gemma":0.0018539883,"threshold_uncertainty_score":0.1841771},"labels":[],"label_agreement":null},{"id":"W2883386622","doi":"","title":"The Recession and Recovery from an Industry Perspective","year":2013,"lang":"en","type":"article","venue":"Economic Trends","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Recession; Real gross domestic product; Economics; Economic recovery; Perspective (graphical); Macroeconomics; Geography; Mathematics","score_opus":0.021587067311695164,"score_gpt":0.229808638523246,"score_spread":0.20822157121155085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883386622","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04601498,0.0344423,0.00062340935,0.8223933,0.0023022383,0.000011473613,0.00065390335,0.000041111714,0.09351736],"genre_scores_gemma":[0.77942485,0.10040724,0.00076678523,0.08213601,0.007441129,0.000038969356,0.00080317445,0.000099244004,0.0288825],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99935323,0.00013779383,0.000034747394,0.00006456192,0.000104941755,0.00030466556],"domain_scores_gemma":[0.9990688,0.00014912905,0.00020525222,0.000048930724,0.0002147532,0.00031317765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011255699,0.00038366392,0.00030015613,0.0017847941,0.0017688097,0.0053979144,0.00060755917,0.0039163465,0.008029521],"category_scores_gemma":[0.0029175668,0.00019882203,0.00035898946,0.0019222074,0.0034036539,0.008818099,0.0026031332,0.0060660345,0.0014085901],"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":[0.00025564246,0.00021564859,0.024731934,0.0004757254,0.00006219163,0.0022189708,0.010974105,0.0015770809,0.0008933285,0.43378815,0.42763394,0.09717328],"study_design_scores_gemma":[0.000028280836,0.00014191403,0.05773559,0.0014722882,0.000030120415,0.0009400259,0.04400692,0.001326473,0.00026883284,0.1403891,0.7535763,0.00008410886],"about_ca_topic_score_codex":0.024739746,"about_ca_topic_score_gemma":0.040341776,"teacher_disagreement_score":0.024739746,"about_ca_system_score_codex":0.0033770811,"about_ca_system_score_gemma":0.0036783393,"threshold_uncertainty_score":0.049191475},"labels":[],"label_agreement":null},{"id":"W2883876670","doi":"","title":"Estimating Real GDP Growth Trends","year":2012,"lang":"en","type":"article","venue":"Economic Trends","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Real gross domestic product; Pace; Economics; Econometrics; Geography","score_opus":0.033746477603870874,"score_gpt":0.23579175216249126,"score_spread":0.2020452745586204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883876670","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":[0.8924451,0.0016687709,0.025438143,0.0012670435,0.00015562467,0.00010663071,0.05243167,0.0006691994,0.025817858],"genre_scores_gemma":[0.9075659,0.00219272,0.02077508,0.00007939684,0.00011608119,0.00014065155,0.063916065,0.00013277133,0.005081417],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956316,0.000102050886,0.0000438523,0.000120552366,0.00009864744,0.00007166522],"domain_scores_gemma":[0.9986965,0.00044017402,0.00025155445,0.00012351415,0.00043479924,0.000053545802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000741626,0.0006076165,0.00031038048,0.0036646086,0.00021875581,0.0011634717,0.00029165103,0.00056515017,0.0026424723],"category_scores_gemma":[0.006362965,0.00032407788,0.0005966469,0.0053969985,0.0001231502,0.001231227,0.00047169632,0.0006523927,0.002355306],"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":[0.00019452344,0.00015680413,0.57929087,0.00040561077,0.00045185175,0.0006545049,0.00062200596,0.15734667,0.0014854812,0.011319055,0.03557607,0.2124965],"study_design_scores_gemma":[0.00005861079,0.00024862224,0.6247572,0.00019788671,0.0002216228,0.00044107862,0.001986738,0.25736737,0.0030599684,0.011228915,0.10033546,0.000096511096],"about_ca_topic_score_codex":0.029206475,"about_ca_topic_score_gemma":0.018022427,"teacher_disagreement_score":0.029206475,"about_ca_system_score_codex":0.00074128754,"about_ca_system_score_gemma":0.00067567447,"threshold_uncertainty_score":0.058072984},"labels":[],"label_agreement":null},{"id":"W2883922408","doi":"","title":"Real GDP: Fourth-Quarter 2007 Final Estimate","year":2008,"lang":"en","type":"article","venue":"Economic Trends","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Investment (military); Percentage point; Real gross domestic product; Economics; Consumption (sociology); Agricultural economics; Econometrics; Finance; Geography","score_opus":0.044348267396899115,"score_gpt":0.2362118650512302,"score_spread":0.1918635976543311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883922408","genre_codex":"dataset","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":[0.049817704,0.0024060833,0.0065514646,0.0033889285,0.0022524516,0.00040374201,0.8230614,0.002210647,0.109907664],"genre_scores_gemma":[0.076978564,0.0032770343,0.0069418494,0.0009684539,0.00042514128,0.00076108036,0.85747313,0.0004941159,0.052680578],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979386,0.00015652832,0.00015517695,0.00021823643,0.001289993,0.0002415178],"domain_scores_gemma":[0.9946774,0.0001869288,0.00039661236,0.00022025954,0.0044244933,0.00009426616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011135171,0.0011449613,0.00054189254,0.0065054744,0.0003767257,0.0020225113,0.0010029299,0.0007182005,0.010467071],"category_scores_gemma":[0.0048071835,0.00046247613,0.0008338233,0.0074870945,0.00020972468,0.0011597129,0.0009354941,0.0021655012,0.015486742],"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":[0.00018699652,0.000094260926,0.026083793,0.00034220587,0.00009075676,0.00012973281,0.00009771886,0.0055030566,0.00021727815,0.005201534,0.92725605,0.03479668],"study_design_scores_gemma":[0.000065451284,0.000081333645,0.11261777,0.00024097375,0.00008432121,0.00020282892,0.00041790842,0.0039135283,0.0028187884,0.0011968683,0.878306,0.00005440974],"about_ca_topic_score_codex":0.06351785,"about_ca_topic_score_gemma":0.035769165,"teacher_disagreement_score":0.06351785,"about_ca_system_score_codex":0.0031224103,"about_ca_system_score_gemma":0.0027980877,"threshold_uncertainty_score":0.12629628},"labels":[],"label_agreement":null},{"id":"W2883923487","doi":"","title":"Real GDP: First-Quarter 2009 Advance Estimate","year":2009,"lang":"en","type":"article","venue":"Economic Trends","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Real gross domestic product; Recession; Economics; Econometrics; Keynesian economics; Geography","score_opus":0.014613687621014336,"score_gpt":0.2276537362563819,"score_spread":0.21304004863536757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883923487","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030607823,0.0028376766,0.005852935,0.003595314,0.0024657361,0.00017278535,0.8660904,0.001369743,0.08700761],"genre_scores_gemma":[0.10327545,0.0038376735,0.003395449,0.0005379481,0.0006891776,0.0002881659,0.83492965,0.00034646524,0.052700117],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99917954,0.000049813363,0.000056686422,0.00013931787,0.000485272,0.00008938342],"domain_scores_gemma":[0.99798405,0.00008998998,0.00021127661,0.00008277965,0.0015692982,0.0000625945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063090574,0.0008549979,0.00043366232,0.0033727232,0.00028020082,0.0011744363,0.0005744252,0.00062113587,0.011148297],"category_scores_gemma":[0.003300235,0.00029740646,0.0005257186,0.0038396446,0.00011633626,0.0011582077,0.0007196235,0.002063644,0.022658253],"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":[0.00015757995,0.00009478844,0.029628938,0.00035983173,0.00007569195,0.00011343696,0.000059582708,0.0044915057,0.00026672345,0.0036445512,0.92603636,0.035071008],"study_design_scores_gemma":[0.00007227604,0.00009440607,0.1699326,0.00028515235,0.00009908156,0.00022544761,0.00020532956,0.0051463093,0.0030554084,0.0015665973,0.81926215,0.000055232777],"about_ca_topic_score_codex":0.049554627,"about_ca_topic_score_gemma":0.039936025,"teacher_disagreement_score":0.049554627,"about_ca_system_score_codex":0.001303132,"about_ca_system_score_gemma":0.0012743245,"threshold_uncertainty_score":0.09853238},"labels":[],"label_agreement":null},{"id":"W2883988387","doi":"","title":"Industrial Production Closes 2006 in Fine Form","year":2007,"lang":"en","type":"article","venue":"Economic Trends","topic":"Economic Growth and Productivity","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":"Industrial production; Production (economics); Quarter (Canadian coin); Industrial production index; Economics; Agricultural economics; Geography; Macroeconomics","score_opus":0.04844389093140166,"score_gpt":0.23326767160002349,"score_spread":0.18482378066862182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883988387","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":[0.06233582,0.0022376257,0.0034927947,0.010851351,0.016949821,0.00039066124,0.051011313,0.007690615,0.8450401],"genre_scores_gemma":[0.08079997,0.00063865754,0.0011113026,0.0018464577,0.0031036003,0.00012517854,0.028643435,0.00066811225,0.88306344],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99768806,0.00008927358,0.000093446884,0.00036811485,0.00132575,0.00043531274],"domain_scores_gemma":[0.99439263,0.0004898031,0.00072536856,0.0008008274,0.0017507192,0.0018406442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017728709,0.0006278226,0.0006516457,0.0031760565,0.0026545778,0.0079007745,0.001111791,0.0020920287,0.1747858],"category_scores_gemma":[0.0076775677,0.00049389066,0.00047483094,0.002108631,0.00058414025,0.0026369786,0.002825117,0.0033084988,0.08834074],"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":[0.0004387294,0.00025174234,0.011570582,0.00021639174,0.000024088764,0.00048954,0.00040934322,0.00038180428,0.0012776365,0.011346144,0.8410164,0.13257761],"study_design_scores_gemma":[0.000024152558,0.00011033119,0.030854035,0.00004318597,0.000003032929,0.00010629204,0.00018056486,0.00014865983,0.00050365145,0.0009812812,0.967029,0.00001581491],"about_ca_topic_score_codex":0.006502325,"about_ca_topic_score_gemma":0.011365186,"teacher_disagreement_score":0.1747858,"about_ca_system_score_codex":0.0019417189,"about_ca_system_score_gemma":0.0016005017,"threshold_uncertainty_score":0.58471674},"labels":[],"label_agreement":null},{"id":"W2884032743","doi":"","title":"Third-Quarter Preliminary GDP Release","year":2007,"lang":"en","type":"article","venue":"Economic Trends","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Percentage point; Economics; Point (geometry); Private consumption; Consumption (sociology); Real gross domestic product; Agricultural economics; Econometrics; Geography; Mathematics; Macroeconomics; Finance","score_opus":0.019373163645344024,"score_gpt":0.21573820762538895,"score_spread":0.19636504398004492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884032743","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0048755268,0.0014710645,0.0017628508,0.0066971816,0.008499141,0.00047933924,0.7020709,0.0040308344,0.2701131],"genre_scores_gemma":[0.025684576,0.0042258166,0.0037904312,0.0015486034,0.0014060077,0.001206913,0.5124572,0.002966301,0.4467141],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988028,0.000078262456,0.00010171724,0.00009909504,0.00075421657,0.0001640344],"domain_scores_gemma":[0.99560046,0.00020916665,0.00025902738,0.00040570158,0.0033265625,0.00019908787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012382877,0.0009390313,0.0005306962,0.0039575025,0.000753714,0.0029566402,0.0010373574,0.0011239557,0.119590126],"category_scores_gemma":[0.0060437336,0.00054067053,0.00076410704,0.0059220265,0.00019786472,0.0013689799,0.00093855587,0.0020571875,0.14111102],"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":[0.000070186245,0.000016396858,0.0004810248,0.00007979163,0.000004533775,0.00004282354,0.000024712072,0.00014410458,0.00014233936,0.0014537346,0.98250663,0.015033717],"study_design_scores_gemma":[0.000021778647,0.000026878224,0.0083127795,0.00007064343,0.0000068840436,0.000052730455,0.00004885377,0.00014027447,0.0005650792,0.00059048185,0.99015033,0.000013290745],"about_ca_topic_score_codex":0.043912325,"about_ca_topic_score_gemma":0.02724325,"teacher_disagreement_score":0.119590126,"about_ca_system_score_codex":0.0026859716,"about_ca_system_score_gemma":0.004134249,"threshold_uncertainty_score":0.40006888},"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":"W2885029673","doi":"","title":"Real GDP 2008:Q1 Advance Estimate","year":2008,"lang":"en","type":"article","venue":"Economic Trends","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Real gross domestic product; Economics; Headline; Investment (military); GDP deflator; Agricultural economics; Econometrics; Business; Geography","score_opus":0.028872061932514823,"score_gpt":0.2330929434751774,"score_spread":0.20422088154266257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885029673","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008364943,0.0018096582,0.0035879486,0.0035287233,0.0014375047,0.00022135267,0.89127547,0.0012433425,0.08853113],"genre_scores_gemma":[0.04516332,0.0024899468,0.0038723266,0.0007052797,0.0007570856,0.00054369884,0.8539427,0.00054723956,0.09197837],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990671,0.00006630551,0.00006211173,0.0001120634,0.00059389987,0.000098387245],"domain_scores_gemma":[0.9967601,0.00019333957,0.00020213639,0.00009806891,0.0026664594,0.00007994584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071644125,0.0008041821,0.00037626503,0.004284962,0.00026204812,0.001264358,0.0006609531,0.0006640093,0.05621986],"category_scores_gemma":[0.0048544337,0.0003647604,0.0005060319,0.0047487277,0.000100775964,0.0012966149,0.0008234151,0.0014605465,0.06775795],"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":[0.00007309099,0.000030150237,0.0061752275,0.00022660862,0.000016220838,0.00004663618,0.0000216468,0.001462944,0.000081715756,0.0020053813,0.9582184,0.03164204],"study_design_scores_gemma":[0.000055983262,0.000049840008,0.047705483,0.00020713088,0.000028392808,0.00010659165,0.00007476543,0.0017905678,0.00056681765,0.0013136023,0.948074,0.000026702708],"about_ca_topic_score_codex":0.028195113,"about_ca_topic_score_gemma":0.018084621,"teacher_disagreement_score":0.05621986,"about_ca_system_score_codex":0.0013470812,"about_ca_system_score_gemma":0.0013751744,"threshold_uncertainty_score":0.18807417},"labels":[],"label_agreement":null},{"id":"W2885782369","doi":"","title":"2008-5 Human Capital Prices, Productivity and Growth","year":2008,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Productivity; Economics; Human capital; Labour economics; Business; Agricultural economics; Monetary economics; Market economy; Macroeconomics","score_opus":0.031258109755982734,"score_gpt":0.1971427282074315,"score_spread":0.16588461845144878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885782369","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":[0.67565423,0.0048191617,0.014901215,0.033904597,0.00091087003,0.00009341498,0.012717965,0.00032105108,0.25667748],"genre_scores_gemma":[0.95918596,0.0010172754,0.0015552783,0.00043396666,0.00015324033,0.000028074024,0.0023853993,0.000023477987,0.03521739],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99991024,0.000016442056,0.0000060065067,0.000019116478,0.000026676513,0.000021509142],"domain_scores_gemma":[0.9991184,0.00029321556,0.00017441972,0.00006525412,0.00025525547,0.00009348328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038615282,0.00015921221,0.0001549568,0.00047030678,0.00021484839,0.0017078096,0.0001768323,0.0005285461,0.01939093],"category_scores_gemma":[0.0035599978,0.00009021739,0.00014883849,0.0007340239,0.00032369187,0.0009895543,0.0003260013,0.00067429815,0.0021754112],"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":[0.0004944041,0.0002193447,0.27427283,0.00025167523,0.00014000451,0.0006037663,0.00061750977,0.018895406,0.0020408113,0.3562159,0.16976283,0.17648558],"study_design_scores_gemma":[0.00007637362,0.00014253482,0.45932052,0.00013347733,0.00006464441,0.00035854173,0.00077061245,0.036389492,0.0027014546,0.3759202,0.12408403,0.00003807123],"about_ca_topic_score_codex":0.007736325,"about_ca_topic_score_gemma":0.009812907,"teacher_disagreement_score":0.01939093,"about_ca_system_score_codex":0.0016132608,"about_ca_system_score_gemma":0.00053967535,"threshold_uncertainty_score":0.064869165},"labels":[],"label_agreement":null},{"id":"W2885825259","doi":"10.5539/jsd.v11n4p190","title":"Economic Growth and Population Ageing in Nigeria: Innovation Accounting Techniques","year":2018,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Life expectancy; Economics; Population ageing; Demographic economics; Growth accounting; Dependency ratio; Context (archaeology); Per capita income; Population; Population growth; Per capita; Productivity; Development economics; Demographic change; Economic growth; Total factor productivity; Geography; Demography","score_opus":0.013255818994381415,"score_gpt":0.2174708528311096,"score_spread":0.20421503383672818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885825259","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":[0.95153654,0.0026358769,0.027354728,0.0011441234,0.0000990153,0.00016199196,0.0010239164,0.0000700928,0.015973687],"genre_scores_gemma":[0.9911472,0.0015055933,0.0052669803,0.000023301733,0.000039207407,0.0000703956,0.00032134485,0.0000050851872,0.0016207945],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995264,0.00020226445,0.00004534477,0.00005398831,0.00009710679,0.000074853415],"domain_scores_gemma":[0.99571407,0.0028628467,0.00087551615,0.00013534566,0.00032781766,0.000084366075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021071285,0.00029475192,0.000331853,0.004014451,0.00050232426,0.001655308,0.0003494514,0.00046145316,0.001568973],"category_scores_gemma":[0.0062970174,0.000113897775,0.0008074712,0.0047006784,0.0005047474,0.0010971841,0.0007074957,0.00071823713,0.00015828673],"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":[0.000095900075,0.00018597188,0.7402702,0.00022277668,0.00027454746,0.0010444808,0.0016782574,0.07228136,0.00041755952,0.053337686,0.001955401,0.12823582],"study_design_scores_gemma":[0.000010766378,0.00025443727,0.45242962,0.00030709672,0.00031940045,0.0004780929,0.005151616,0.49043494,0.0010897493,0.037307806,0.012116827,0.0000996943],"about_ca_topic_score_codex":0.016141124,"about_ca_topic_score_gemma":0.013249453,"teacher_disagreement_score":0.016141124,"about_ca_system_score_codex":0.001158712,"about_ca_system_score_gemma":0.0014566622,"threshold_uncertainty_score":0.03209436},"labels":[],"label_agreement":null},{"id":"W2886180714","doi":"","title":"The 2000s: A Slow Start to the 21st Century","year":2010,"lang":"en","type":"article","venue":"Economic Trends","topic":"Economic Growth and Productivity","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":"Private consumption; Quarter (Canadian coin); Economics; Real gross domestic product; Percentage point; Consumption (sociology); Demographic economics; Econometrics; History; Keynesian economics; Finance; Sociology; Fiscal policy; Social science","score_opus":0.016227977434108157,"score_gpt":0.20314186018194982,"score_spread":0.18691388274784165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886180714","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":[0.37435436,0.060755815,0.006050303,0.13243937,0.012968454,0.00016809435,0.014502957,0.001432192,0.3973284],"genre_scores_gemma":[0.7253488,0.046488196,0.0066739903,0.03108048,0.004593815,0.00013440454,0.0090252375,0.0006938207,0.17596133],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99904436,0.00008004375,0.00006373171,0.00017867764,0.00042958173,0.00020361539],"domain_scores_gemma":[0.99747866,0.00020689078,0.00054847717,0.0001926098,0.0011923986,0.00038084004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001824579,0.00060946436,0.0003991623,0.001825399,0.0012763524,0.006664972,0.00069261924,0.0012928457,0.011588265],"category_scores_gemma":[0.0067091715,0.00028084833,0.00033328639,0.0035966292,0.0011706415,0.003978183,0.0022519373,0.0021584046,0.0048942645],"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":[0.0008480239,0.00012303829,0.035271168,0.0016064928,0.00008613886,0.00092136714,0.005412599,0.0009469409,0.0040615303,0.20232436,0.26714927,0.48124912],"study_design_scores_gemma":[0.000011372561,0.000052162235,0.038648423,0.00031148485,0.000011952968,0.00024459246,0.0010193979,0.00014570725,0.00073729525,0.006386046,0.95241106,0.000020534371],"about_ca_topic_score_codex":0.011102138,"about_ca_topic_score_gemma":0.012428402,"teacher_disagreement_score":0.011588265,"about_ca_system_score_codex":0.0032984742,"about_ca_system_score_gemma":0.0037397454,"threshold_uncertainty_score":0.038766623},"labels":[],"label_agreement":null},{"id":"W2886538589","doi":"","title":"Real GDP: Second-Quarter 2009 Revised Estimate","year":2009,"lang":"en","type":"article","venue":"Economic Trends","topic":"Economic Growth and Productivity","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":"Headline; Quarter (Canadian coin); Falling (accident); Economics; Real gross domestic product; Econometrics; Keynesian economics; Statistics; History; Mathematics; Advertising; Business; Psychology","score_opus":0.019207721410709942,"score_gpt":0.23256766377235133,"score_spread":0.21335994236164138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886538589","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043413326,0.012288662,0.010341268,0.016499694,0.01681351,0.00027509299,0.79078805,0.0023286755,0.10725168],"genre_scores_gemma":[0.21003036,0.016347239,0.011748049,0.0054075127,0.0041819806,0.0008105655,0.64242977,0.001492084,0.10755239],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99773204,0.0001656221,0.00025116344,0.00033754297,0.0013051261,0.00020849363],"domain_scores_gemma":[0.9909107,0.0003072631,0.00068667927,0.00045802855,0.0075113093,0.00012611099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016083018,0.0011562124,0.000571347,0.0054772585,0.00030352242,0.0026751868,0.0010365542,0.00088816456,0.006628341],"category_scores_gemma":[0.008774646,0.00041468575,0.0007838031,0.0064451215,0.00024278476,0.0016917677,0.0009859735,0.0024826948,0.009801487],"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":[0.0002240123,0.00003650284,0.019468967,0.0005152394,0.00009919406,0.00014535143,0.00011646391,0.0021239289,0.0005673003,0.0046807905,0.9309619,0.04106039],"study_design_scores_gemma":[0.00004805469,0.000060973067,0.104096554,0.0003303133,0.00008732489,0.00027099386,0.00020570972,0.0018094844,0.0026943504,0.00057965936,0.8897491,0.00006740676],"about_ca_topic_score_codex":0.081954114,"about_ca_topic_score_gemma":0.048369586,"teacher_disagreement_score":0.081954114,"about_ca_system_score_codex":0.0032951604,"about_ca_system_score_gemma":0.0020324334,"threshold_uncertainty_score":0.16295421},"labels":[],"label_agreement":null},{"id":"W2886871158","doi":"","title":"The Distribution of Top Incomes in Five Anglo- Saxon Countries Over the Long Run The Distribution of Top Incomes in Five Anglo- Saxon Countries Over the Long Run.","year":2013,"lang":"en","type":"article","venue":"Economic Record","topic":"Economic Growth and Productivity","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":"Economics; Percentile; Distribution (mathematics); Demographic economics; Falling (accident); Income shares; Investment (military); Income distribution; Labour economics; Tax rate; Monetary economics; Inequality; Statistics; Political science","score_opus":0.00971552004205801,"score_gpt":0.21055760899156947,"score_spread":0.20084208894951147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886871158","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":[0.99872977,0.000076325756,0.00001337003,0.000026972579,0.0000015540501,7.0628903e-7,0.00029978706,0.0000015853541,0.000849908],"genre_scores_gemma":[0.99906164,0.000057867797,0.00002086034,0.000007731144,0.0000015974564,0.0000010339639,0.00042292857,5.591366e-7,0.00042594515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987686,0.000018144638,0.000009320297,0.000020735448,0.00001545319,0.000059440445],"domain_scores_gemma":[0.99908125,0.00015253996,0.00031392794,0.000029269158,0.00014354615,0.00027949223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002560931,0.00008960044,0.00011343875,0.00083460496,0.00032871397,0.0010025922,0.00013268935,0.00016819393,0.0019522746],"category_scores_gemma":[0.0005955296,0.000069304595,0.00011717069,0.0010073392,0.00031972164,0.00032353392,0.0005782777,0.00019793869,0.000261031],"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":[0.00020346136,0.000024678095,0.98843634,0.00002114073,0.000068628964,0.00030876248,0.0012587415,0.0007946918,0.0006605836,0.0011050642,0.0008784398,0.006239532],"study_design_scores_gemma":[0.0000022915317,0.000022140424,0.9977823,0.0000100634215,0.00000989158,0.000045714132,0.0011892603,0.00029444904,0.000048501577,0.000069081594,0.00052207854,0.000004410296],"about_ca_topic_score_codex":0.0177594,"about_ca_topic_score_gemma":0.03341695,"teacher_disagreement_score":0.0177594,"about_ca_system_score_codex":0.00040148696,"about_ca_system_score_gemma":0.00019406581,"threshold_uncertainty_score":0.035312057},"labels":[],"label_agreement":null},{"id":"W2887133833","doi":"","title":"Real GDP: Second-Quarter 2009 Advance Estimate and Comprehensive Benchmark Revision","year":2009,"lang":"en","type":"article","venue":"Economic Trends","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Real gross domestic product; Benchmark (surveying); Economics; Econometrics; Fell; History; Geography; Cartography","score_opus":0.015455612120649482,"score_gpt":0.2400323569838877,"score_spread":0.22457674486323823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887133833","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14551482,0.0067342953,0.05874386,0.017087031,0.016375005,0.0014556965,0.59829336,0.006133301,0.14966266],"genre_scores_gemma":[0.23311642,0.0029233529,0.044847637,0.002325312,0.0025098633,0.0017688016,0.6574968,0.002060464,0.052951336],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9905335,0.001062946,0.0012433013,0.00083796727,0.0057569416,0.00056547666],"domain_scores_gemma":[0.9602522,0.001894415,0.0019450353,0.0031103163,0.032295417,0.0005024559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007247457,0.0013168983,0.0011197228,0.008564701,0.00074388506,0.0033031995,0.0021190785,0.0014934827,0.0065277265],"category_scores_gemma":[0.032960214,0.00065239484,0.0010205756,0.007787062,0.00040525707,0.0023941782,0.0023827404,0.002831062,0.0074677337],"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":[0.0009492666,0.0003753532,0.023022734,0.00062379165,0.0001916422,0.00050621387,0.00034840498,0.01937214,0.0023150337,0.015854256,0.80511874,0.13132235],"study_design_scores_gemma":[0.00019732486,0.00031861613,0.18976396,0.0005188491,0.00017189166,0.0004461176,0.0004156505,0.017600304,0.011492979,0.0046137474,0.77418494,0.00027555184],"about_ca_topic_score_codex":0.044044193,"about_ca_topic_score_gemma":0.030479444,"teacher_disagreement_score":0.044044193,"about_ca_system_score_codex":0.0028966705,"about_ca_system_score_gemma":0.0043754787,"threshold_uncertainty_score":0.087575674},"labels":[],"label_agreement":null},{"id":"W2887218697","doi":"","title":"Real GDP: Third-Quarter 2009 Third Estimate","year":2010,"lang":"en","type":"article","venue":"Economic Trends","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Percentage point; Economics; Investment (military); Consumption (sociology); Real gross domestic product; Econometrics; Demographic economics; Finance; Geography","score_opus":0.016484046905999576,"score_gpt":0.22887679362409544,"score_spread":0.21239274671809585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887218697","genre_codex":"dataset","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":[0.05764609,0.010583414,0.011554574,0.0073704147,0.0045860303,0.00018693175,0.68441945,0.002339355,0.22131385],"genre_scores_gemma":[0.23466046,0.016326178,0.0068500615,0.0022223257,0.00091415975,0.00058799516,0.62171555,0.00082189444,0.115901396],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99876875,0.0000800984,0.00008433936,0.00017765997,0.00071427325,0.0001749568],"domain_scores_gemma":[0.9978275,0.00008503249,0.00024950237,0.000107985135,0.0016700147,0.00005986481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006599718,0.00094663276,0.00043335522,0.004792003,0.00035485832,0.0024725043,0.0007343083,0.0006061727,0.010077387],"category_scores_gemma":[0.0027379678,0.0003182452,0.0010185122,0.00659069,0.0002000869,0.0010845652,0.0008785567,0.0017244698,0.013074784],"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":[0.000230182,0.00007586415,0.05027446,0.0005408509,0.00020983633,0.0002501869,0.00013782745,0.0037254153,0.0005484371,0.012023479,0.8560539,0.075929604],"study_design_scores_gemma":[0.000044842713,0.000060705406,0.13329774,0.00041926935,0.00013501983,0.00047703282,0.00034874765,0.0031740742,0.0036328642,0.0016781685,0.8566635,0.000067975554],"about_ca_topic_score_codex":0.08149628,"about_ca_topic_score_gemma":0.049587898,"teacher_disagreement_score":0.08149628,"about_ca_system_score_codex":0.0036569785,"about_ca_system_score_gemma":0.0023159557,"threshold_uncertainty_score":0.16204387},"labels":[],"label_agreement":null},{"id":"W2887290794","doi":"","title":"Real GDP 2007: Fourth-Quarter Preliminary Estimate","year":2008,"lang":"en","type":"article","venue":"Economic Trends","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Context (archaeology); Percentage point; Real gross domestic product; Econometrics; Economics; Sign (mathematics); Point (geometry); Current Population Survey; Statistics; Mathematics; Geography; Demography; Population","score_opus":0.028604861875714965,"score_gpt":0.22527826225086572,"score_spread":0.19667340037515077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887290794","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029211173,0.0013855972,0.008541234,0.0041976003,0.0028602646,0.00058500585,0.8821629,0.0014576782,0.06959849],"genre_scores_gemma":[0.06912715,0.001979061,0.0096892,0.0012436177,0.0008344096,0.0013782579,0.8650765,0.00077388686,0.049897872],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99739057,0.00028271184,0.00020211635,0.00021886671,0.0015946776,0.0003110943],"domain_scores_gemma":[0.99030215,0.0006675145,0.00077010394,0.0003897837,0.007651352,0.00021913639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022264281,0.0009753109,0.0005783403,0.0059854575,0.00039833647,0.0020732728,0.0011687692,0.0007980437,0.016484935],"category_scores_gemma":[0.009455412,0.0005054903,0.0010556269,0.005998641,0.0002214166,0.0011022955,0.001190921,0.0024851144,0.02166746],"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":[0.00023289974,0.00008503164,0.01938187,0.00030587125,0.00008675696,0.00016488295,0.00011645958,0.0032754962,0.00031225078,0.003997391,0.95236844,0.01967264],"study_design_scores_gemma":[0.00007188886,0.000165611,0.12652054,0.00026075201,0.00010392989,0.00015781191,0.000392747,0.0026833666,0.0028557412,0.0011567367,0.86556566,0.000065280314],"about_ca_topic_score_codex":0.06290915,"about_ca_topic_score_gemma":0.036892705,"teacher_disagreement_score":0.06290915,"about_ca_system_score_codex":0.002188574,"about_ca_system_score_gemma":0.0027900364,"threshold_uncertainty_score":0.12508595},"labels":[],"label_agreement":null},{"id":"W2887391143","doi":"","title":"Weak Wage and Income Growth Is Holding Consumption Back","year":2011,"lang":"en","type":"article","venue":"Economic Trends","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Economics; Consumption (sociology); Investment (military); Private consumption; Real gross domestic product; Recession; Wage growth; Labour economics; Wage; Demographic economics; Monetary economics; Fiscal policy; Macroeconomics; Geography","score_opus":0.0626356424296078,"score_gpt":0.21810896287378836,"score_spread":0.15547332044418055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887391143","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":[0.3823959,0.013844983,0.006462528,0.25314328,0.0063246503,0.00010280454,0.019924344,0.0012048597,0.3165967],"genre_scores_gemma":[0.90114343,0.00840862,0.0020296136,0.017474748,0.0022701703,0.00004336348,0.007303731,0.00033610335,0.06099012],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99865973,0.00008888413,0.000084423016,0.00021496438,0.0005454746,0.00040655545],"domain_scores_gemma":[0.9947094,0.0005653029,0.0012212627,0.0005990883,0.0020718682,0.00083307346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001989064,0.00059308973,0.0007117745,0.0021978638,0.002288963,0.0067396252,0.0006577383,0.0012213017,0.02314711],"category_scores_gemma":[0.008114808,0.0002837294,0.0006589944,0.0037156949,0.0018189003,0.0046533584,0.0024868099,0.0043164664,0.008072195],"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":[0.0008822629,0.00024999163,0.24783711,0.0006492761,0.00024192614,0.00046969054,0.0021225936,0.00080125517,0.0035561165,0.14321776,0.19694237,0.40302962],"study_design_scores_gemma":[0.00004467491,0.000301522,0.4440686,0.0008162983,0.000118097814,0.0003604096,0.004875551,0.0007244835,0.003809891,0.043437235,0.5013279,0.00011536374],"about_ca_topic_score_codex":0.024894347,"about_ca_topic_score_gemma":0.022490779,"teacher_disagreement_score":0.024894347,"about_ca_system_score_codex":0.0024940644,"about_ca_system_score_gemma":0.0023981826,"threshold_uncertainty_score":0.07743478},"labels":[],"label_agreement":null},{"id":"W2887400425","doi":"","title":"Real GDP Growth","year":2007,"lang":"en","type":"article","venue":"Economic Trends","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":21,"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":"Quarter (Canadian coin); Pace; Economics; Real gross domestic product; Annual growth %; Agricultural economics; Geography; Monetary economics","score_opus":0.024168179607546195,"score_gpt":0.22243368601621286,"score_spread":0.19826550640866666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887400425","genre_codex":"dataset","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":[0.028755154,0.009805257,0.0060041957,0.012187821,0.005795692,0.00030150104,0.49989066,0.004509129,0.4327506],"genre_scores_gemma":[0.17865327,0.016785057,0.006199612,0.0027678295,0.0013727426,0.0007754534,0.6226163,0.0013245281,0.1695052],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9964735,0.00037464182,0.00026395515,0.00059959927,0.0018924589,0.00039584687],"domain_scores_gemma":[0.9965643,0.00022180701,0.00042941864,0.00022824027,0.0023248703,0.00023126017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012905317,0.0012727815,0.00072005397,0.0047154278,0.00071825355,0.0038972893,0.0008540868,0.001296752,0.026226223],"category_scores_gemma":[0.009549246,0.00030369117,0.00077658525,0.0085424045,0.00045637964,0.0025586404,0.0018763185,0.0027341426,0.051912572],"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":[0.00016175976,0.00007016268,0.01766702,0.0007601129,0.00010644348,0.000165898,0.00025733875,0.0024615023,0.0004675646,0.026303971,0.8496612,0.10191701],"study_design_scores_gemma":[0.000017814607,0.00005915497,0.027258513,0.00021405896,0.000029506698,0.00022034353,0.00022263789,0.00096725265,0.0006401444,0.00310872,0.967233,0.000028837063],"about_ca_topic_score_codex":0.01945824,"about_ca_topic_score_gemma":0.0101418365,"teacher_disagreement_score":0.026226223,"about_ca_system_score_codex":0.0026518232,"about_ca_system_score_gemma":0.003015679,"threshold_uncertainty_score":0.087735474},"labels":[],"label_agreement":null},{"id":"W2887511330","doi":"","title":"Second-Quarter GDP, Final Revision","year":2008,"lang":"en","type":"article","venue":"Economic Trends","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Percentage point; Real gross domestic product; Economics; Investment (military); Mathematics; Agricultural economics; Econometrics; Statistics; Geography","score_opus":0.04640027914823916,"score_gpt":0.2190826398506902,"score_spread":0.17268236070245105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887511330","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02213238,0.0069903876,0.0054063625,0.026294513,0.07173748,0.0005978525,0.6628527,0.0041565355,0.19983175],"genre_scores_gemma":[0.097775705,0.006761334,0.00760907,0.0059058503,0.0073865457,0.00126636,0.53047,0.0022751726,0.34054998],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99583375,0.00037570845,0.00046843608,0.00046584377,0.0024083357,0.00044790359],"domain_scores_gemma":[0.9812898,0.00054396637,0.0006488146,0.0012391863,0.015899157,0.0003790435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029721302,0.0017781181,0.0007257931,0.007313118,0.00094699673,0.0056262035,0.0019470304,0.0015139803,0.023761064],"category_scores_gemma":[0.018029256,0.00063220796,0.0010707766,0.00812748,0.00049779343,0.0021528956,0.0016354347,0.0038307323,0.026669627],"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":[0.00015547167,0.0000291509,0.0028000039,0.00017202403,0.00001998899,0.00010451033,0.000071364935,0.00046459425,0.00018324544,0.0034462865,0.9722011,0.02035225],"study_design_scores_gemma":[0.00003387665,0.000036691417,0.020210132,0.00012006171,0.000018508112,0.0001076257,0.0001506983,0.0003897114,0.0008048978,0.00070384296,0.9773991,0.000024919642],"about_ca_topic_score_codex":0.07354591,"about_ca_topic_score_gemma":0.037974797,"teacher_disagreement_score":0.07354591,"about_ca_system_score_codex":0.004041429,"about_ca_system_score_gemma":0.0052913614,"threshold_uncertainty_score":0.14623564},"labels":[],"label_agreement":null},{"id":"W2887705303","doi":"","title":"Real GDP: First-Quarter 2009 Final Estimate","year":2009,"lang":"en","type":"article","venue":"Economic Trends","topic":"Economic Growth and Productivity","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":"Real gross domestic product; Quarter (Canadian coin); Percentage point; Economics; Point (geometry); Econometrics; Statistics; Mathematics; Geography","score_opus":0.027234839218420806,"score_gpt":0.2335559461628549,"score_spread":0.20632110694443412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887705303","genre_codex":"dataset","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":[0.053499117,0.0028100065,0.0071418565,0.0038395468,0.003302353,0.00041901605,0.8240219,0.0016183846,0.10334779],"genre_scores_gemma":[0.13679224,0.0035796766,0.0054772724,0.0011386884,0.0007178509,0.0008451251,0.7828231,0.00042827165,0.06819769],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983736,0.0001299031,0.00014736579,0.00027362176,0.0008557692,0.00021974179],"domain_scores_gemma":[0.99604034,0.00019550232,0.000301662,0.0001624654,0.0032064947,0.000093470844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010717069,0.0010145444,0.0005716888,0.004333446,0.0003624634,0.0017307164,0.0007726858,0.00074079464,0.013378649],"category_scores_gemma":[0.005327102,0.00037512806,0.0011234216,0.0046759313,0.00015957454,0.0012264305,0.0010232496,0.0021654128,0.020778937],"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":[0.0002249541,0.00011080451,0.045247857,0.0004198666,0.00016643136,0.0002320064,0.00010532865,0.0049716784,0.0003968202,0.0030415282,0.9054951,0.039587602],"study_design_scores_gemma":[0.00009924593,0.00015282363,0.24325041,0.00039489486,0.00020630886,0.00030944648,0.00055145466,0.003249127,0.00317982,0.00092546176,0.74759406,0.00008686801],"about_ca_topic_score_codex":0.07597757,"about_ca_topic_score_gemma":0.047644116,"teacher_disagreement_score":0.07597757,"about_ca_system_score_codex":0.0020434328,"about_ca_system_score_gemma":0.0015365792,"threshold_uncertainty_score":0.15107065},"labels":[],"label_agreement":null},{"id":"W2887718159","doi":"","title":"Second-Quarter GDP Preliminary Revision: Onward and Upward?","year":2008,"lang":"en","type":"article","venue":"Economic Trends","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Percentage point; Sign (mathematics); Real gross domestic product; Economics; Point (geometry); Mathematics; Econometrics; Statistics; Geography","score_opus":0.027446401718544722,"score_gpt":0.20699532332786513,"score_spread":0.1795489216093204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887718159","genre_codex":"empirical","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43518993,0.020650987,0.009793304,0.21209638,0.06902868,0.00028514658,0.04024772,0.0035046206,0.20920327],"genre_scores_gemma":[0.8652248,0.0053101713,0.0056664515,0.020127213,0.011097273,0.00017011217,0.017801862,0.0009863245,0.07361585],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961003,0.00037008655,0.0004215994,0.00037135172,0.0022515138,0.00048518064],"domain_scores_gemma":[0.9697016,0.0025869298,0.004883192,0.0034087542,0.017458513,0.001961003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052666524,0.0006721792,0.0005542453,0.0023595663,0.0009776703,0.004829669,0.0009840975,0.0014437449,0.009423021],"category_scores_gemma":[0.037517037,0.00029900623,0.00071000657,0.0027094898,0.0006867903,0.0033639225,0.0016444128,0.0030128018,0.004766958],"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":[0.0024251027,0.0001863183,0.091830574,0.0007717128,0.00018840331,0.0022154553,0.0018511757,0.001644618,0.0055364417,0.030624788,0.57755405,0.2851714],"study_design_scores_gemma":[0.000100136065,0.0004700152,0.29944438,0.00054183794,0.00009161378,0.0011289491,0.0011947819,0.0017973008,0.00847131,0.005543319,0.68104583,0.00017054671],"about_ca_topic_score_codex":0.015295319,"about_ca_topic_score_gemma":0.012759409,"teacher_disagreement_score":0.015295319,"about_ca_system_score_codex":0.0016429754,"about_ca_system_score_gemma":0.0025297743,"threshold_uncertainty_score":0.03152311},"labels":[],"label_agreement":null},{"id":"W2887900878","doi":"","title":"Real GDP: Third-Quarter 2009 Advance Estimate","year":2009,"lang":"en","type":"article","venue":"Economic Trends","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Liberian dollar; Depreciation (economics); Economics; Real gross domestic product; Us dollar; Consumption (sociology); Exchange rate; Monetary economics; Geography; Economic growth; Finance","score_opus":0.015553003661843793,"score_gpt":0.23441185314086677,"score_spread":0.21885884947902298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887900878","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06749753,0.006400494,0.009610231,0.006550734,0.0034607227,0.0001655965,0.76078826,0.0018220579,0.14370446],"genre_scores_gemma":[0.19885167,0.008300739,0.00563781,0.0009605867,0.0010775178,0.0002659657,0.72878027,0.0003681534,0.055757277],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993445,0.000029900293,0.000043859684,0.00009402558,0.00041405874,0.00007357047],"domain_scores_gemma":[0.9983144,0.00007478397,0.00019367927,0.00006887215,0.0012895346,0.000058835696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000523742,0.0006824658,0.0003109471,0.0036054782,0.00024115805,0.0010425394,0.0004814138,0.00058716815,0.0074523897],"category_scores_gemma":[0.0022936545,0.00022600708,0.00043866047,0.003943258,0.000117136835,0.0009867206,0.0006152845,0.0016973489,0.015083476],"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":[0.00021356916,0.000103137114,0.042218085,0.0003668878,0.00006771378,0.00020460878,0.0000956308,0.0046541775,0.0005453087,0.006002513,0.88498724,0.06054128],"study_design_scores_gemma":[0.000034624314,0.000077552526,0.15629582,0.00023852552,0.00006390038,0.00037939363,0.0002150058,0.0040446874,0.0031765664,0.0014224731,0.8340058,0.000045480778],"about_ca_topic_score_codex":0.037649587,"about_ca_topic_score_gemma":0.03198779,"teacher_disagreement_score":0.037649587,"about_ca_system_score_codex":0.0014565852,"about_ca_system_score_gemma":0.0010419338,"threshold_uncertainty_score":0.07486087},"labels":[],"label_agreement":null},{"id":"W2888663326","doi":"","title":"Real GDP: Third-Quarter 2009 Second Estimate","year":2009,"lang":"en","type":"article","venue":"Economic Trends","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Real gross domestic product; Economics; Econometrics; Geography","score_opus":0.01761769032702335,"score_gpt":0.22775410128546125,"score_spread":0.2101364109584379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888663326","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06965517,0.009415632,0.013357973,0.0133801345,0.007669209,0.00023765773,0.6844354,0.002484081,0.19936463],"genre_scores_gemma":[0.24114029,0.011637659,0.0073889843,0.0027957284,0.001541929,0.0005655061,0.6092054,0.00087265874,0.12485187],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99858594,0.000080390884,0.00007291582,0.00016946162,0.00091311475,0.00017804312],"domain_scores_gemma":[0.9970175,0.00012367866,0.00028782515,0.0001145902,0.0023576138,0.00009880685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084756734,0.00095249974,0.00044581722,0.0047709118,0.00039313216,0.002631809,0.00063381396,0.000736444,0.007622274],"category_scores_gemma":[0.0037313127,0.0003191695,0.0008197301,0.0049840594,0.00019457607,0.0011947005,0.0009858613,0.00229204,0.009596495],"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":[0.00019743512,0.000060234986,0.03194227,0.0003175884,0.000110923465,0.00019306525,0.00012918853,0.0036508592,0.00050371455,0.00914375,0.9118915,0.041859556],"study_design_scores_gemma":[0.000054158918,0.00007208471,0.14167473,0.00035600085,0.00010568891,0.00040201863,0.00040620548,0.0046291132,0.003887173,0.0014535157,0.8468833,0.00007600669],"about_ca_topic_score_codex":0.10092995,"about_ca_topic_score_gemma":0.06749287,"teacher_disagreement_score":0.10092995,"about_ca_system_score_codex":0.0038682257,"about_ca_system_score_gemma":0.0030486768,"threshold_uncertainty_score":0.20068496},"labels":[],"label_agreement":null},{"id":"W2890118841","doi":"10.1007/s00168-018-0879-0","title":"Regional science in a resource-constrained world","year":2018,"lang":"en","type":"article","venue":"The Annals of Regional Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"University of Alberta","funders":"","keywords":"Resource (disambiguation); Regional science; Political science; Geography; Computer science","score_opus":0.16490308178446036,"score_gpt":0.3049936403036584,"score_spread":0.14009055851919802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890118841","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":[0.4206282,0.017997252,0.08193335,0.26137877,0.0010749015,0.00006330535,0.0019620568,0.00021963968,0.2147426],"genre_scores_gemma":[0.9833698,0.0064348825,0.0035470198,0.0012520326,0.0005431431,0.0000265185,0.00016967607,0.000031905034,0.004625052],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99871695,0.00074426533,0.000052640873,0.00019583877,0.00013594197,0.00015436123],"domain_scores_gemma":[0.99358976,0.0034180125,0.0009760733,0.00039956765,0.00061824755,0.0009982431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023488787,0.00034024197,0.001038447,0.0014110914,0.0014943747,0.007343932,0.0007852973,0.0019272326,0.0062042964],"category_scores_gemma":[0.010186702,0.00034028446,0.00042077532,0.0036579815,0.0043782834,0.0075758356,0.0022615327,0.0021383192,0.00047222446],"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":[0.000088612614,0.000091751186,0.0042794333,0.00018310161,0.000112546135,0.00063382986,0.0003751847,0.07488259,0.0003699026,0.89172477,0.014059966,0.013198344],"study_design_scores_gemma":[0.00002961207,0.00002032095,0.003495313,0.00008255289,0.000035345485,0.00009323172,0.0007982289,0.028778536,0.0001248809,0.9397497,0.026762627,0.00002973069],"about_ca_topic_score_codex":0.024548804,"about_ca_topic_score_gemma":0.022433303,"teacher_disagreement_score":0.024548804,"about_ca_system_score_codex":0.0036635222,"about_ca_system_score_gemma":0.0034733436,"threshold_uncertainty_score":0.048811793},"labels":[],"label_agreement":null},{"id":"W2890530845","doi":"10.3386/w13086","title":"Technology Transfer through Imports","year":2007,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Technology transfer; Transfer (computing); Business; Computer science; International trade; Parallel computing","score_opus":0.3267600538132054,"score_gpt":0.44787871600253637,"score_spread":0.12111866218933098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890530845","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":[0.7368162,0.0031097166,0.027507016,0.0015693496,0.00013557357,0.00008709721,0.0035024774,0.00041254825,0.22686006],"genre_scores_gemma":[0.9716386,0.0021448547,0.0026487126,0.00016169104,0.0000640153,0.000042039355,0.0009962139,0.000048955226,0.02225486],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99932396,0.00008142533,0.000041273557,0.0001792818,0.00018415994,0.0001899444],"domain_scores_gemma":[0.99874485,0.00044387233,0.00033687707,0.00023045082,0.00019586591,0.000048072758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006161454,0.0004925658,0.000532483,0.0021563792,0.00057977776,0.002796659,0.00040710557,0.00056126766,0.022337759],"category_scores_gemma":[0.0034418704,0.00024251292,0.0012952739,0.003248431,0.0007348547,0.003382949,0.002325864,0.0008915696,0.0025629678],"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":[0.00041162377,0.0003177627,0.2458148,0.0012502983,0.0005131062,0.0033598654,0.0031858745,0.04032713,0.011315577,0.42044368,0.009388801,0.26367152],"study_design_scores_gemma":[0.000093852716,0.0006288468,0.49662036,0.0007459598,0.0006981569,0.004331733,0.0058063287,0.02925701,0.025256986,0.25086367,0.18554313,0.00015391629],"about_ca_topic_score_codex":0.0028676507,"about_ca_topic_score_gemma":0.0012458029,"teacher_disagreement_score":0.022337759,"about_ca_system_score_codex":0.001065806,"about_ca_system_score_gemma":0.0006415109,"threshold_uncertainty_score":0.07472724},"labels":[],"label_agreement":null},{"id":"W2890895219","doi":"10.3386/w10106","title":"Firm Location and the Creation and Utilization of Human Capital","year":2003,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Overconfidence effect; Flexibility (engineering); Productivity; Human capital; Industrial organization; Investment (military); Affect (linguistics); Business; Microeconomics; Scale (ratio); Capital (architecture); Economics; Market economy; Macroeconomics","score_opus":0.28630046044835933,"score_gpt":0.4276878856191252,"score_spread":0.14138742517076586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890895219","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":[0.9401239,0.0010154159,0.033156723,0.0012399585,0.000018467097,0.000032833625,0.0002787211,0.00004668317,0.024087252],"genre_scores_gemma":[0.9969163,0.00015220651,0.001253378,0.00002199818,0.000008519187,0.000009311169,0.000030864117,0.0000023018997,0.0016050789],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99924624,0.0003302193,0.000022976368,0.00012107471,0.00007683355,0.00020271576],"domain_scores_gemma":[0.9940176,0.002840278,0.0017814648,0.00038690635,0.00025980704,0.0007138394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088426337,0.00019985293,0.00033686173,0.0009328901,0.0007873725,0.0021919122,0.00056402734,0.00082527526,0.008425454],"category_scores_gemma":[0.006471968,0.00020960472,0.00019828968,0.0016626352,0.0017539506,0.0020703874,0.0015688259,0.0004288878,0.0006641773],"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":[0.00078131864,0.00044149242,0.26940218,0.00032442113,0.00024269617,0.0013442126,0.004565391,0.13985549,0.0042794584,0.43591347,0.0059390552,0.13691086],"study_design_scores_gemma":[0.00029009816,0.0006187562,0.22840986,0.00021845195,0.00017858577,0.0012068447,0.010988688,0.095579684,0.00430583,0.63048655,0.027573435,0.00014326102],"about_ca_topic_score_codex":0.0025729132,"about_ca_topic_score_gemma":0.003301586,"teacher_disagreement_score":0.008425454,"about_ca_system_score_codex":0.0014021358,"about_ca_system_score_gemma":0.00064339524,"threshold_uncertainty_score":0.028185904},"labels":[],"label_agreement":null},{"id":"W2891389386","doi":"10.3386/w16188","title":"Spillovers in Space: Does Geography Matter?","year":2010,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Economic and Social Research Council; Social Sciences and Humanities Research Council of Canada; National Science Foundation","keywords":"Space (punctuation); Economic geography; Geography; Computer science","score_opus":0.15763689733228275,"score_gpt":0.4025823531842567,"score_spread":0.24494545585197397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891389386","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":[0.95710653,0.005461526,0.0175744,0.004050279,0.00006865527,0.00006494957,0.00081912504,0.0001028607,0.014751643],"genre_scores_gemma":[0.99717283,0.0009391198,0.00092538615,0.00009466628,0.000058118098,0.000014639865,0.00012705132,0.0000075319476,0.0006605901],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977489,0.000920392,0.00013643097,0.0004697915,0.00039922888,0.00032521682],"domain_scores_gemma":[0.9586011,0.027249744,0.008833236,0.0022585075,0.0012126365,0.0018446379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031810924,0.00070395874,0.0012307445,0.0036355115,0.00078052736,0.0035451604,0.0006174663,0.0010600887,0.007087305],"category_scores_gemma":[0.023571927,0.0003182555,0.0011025912,0.00653571,0.0027798489,0.003978599,0.0036792988,0.0007993516,0.00068537804],"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":[0.0004759543,0.00021248755,0.8473803,0.00062761415,0.0014485191,0.000909499,0.0026461065,0.020024518,0.0018904776,0.057125628,0.0015424199,0.065716535],"study_design_scores_gemma":[0.0002226717,0.00068078696,0.78013587,0.00046624988,0.002616237,0.0009359254,0.008038934,0.022182545,0.0028794778,0.16673373,0.014980774,0.00012680097],"about_ca_topic_score_codex":0.0054705977,"about_ca_topic_score_gemma":0.0037680748,"teacher_disagreement_score":0.007087305,"about_ca_system_score_codex":0.00087302655,"about_ca_system_score_gemma":0.0011235083,"threshold_uncertainty_score":0.023709476},"labels":[],"label_agreement":null},{"id":"W2891394762","doi":"10.1257/mac.20130302","title":"Offshoring and Directed Technical Change","year":2012,"lang":"en","type":"preprint","venue":"American Economic Journal Macroeconomics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministerio de Ciencia e Innovación; Canadian Institute for Advanced Research","keywords":"Offshoring; Technical change; Technological change; Economics; Labour economics; Welfare; Wage; Business; Outsourcing; Market economy; Macroeconomics","score_opus":0.044698987577974546,"score_gpt":0.24813186894609993,"score_spread":0.20343288136812537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891394762","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":[0.8191777,0.0008919406,0.087334245,0.0017282182,0.000066870605,0.00005812795,0.00038093314,0.00020213502,0.09015982],"genre_scores_gemma":[0.98303276,0.0003256091,0.0020139527,0.00012809844,0.000026016514,0.000026398127,0.00008106094,0.000018269691,0.014347721],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951553,0.00009085229,0.000015554248,0.000103768245,0.000057913527,0.0002162945],"domain_scores_gemma":[0.99916327,0.00019990934,0.0002377453,0.00014064922,0.00006826305,0.0001902062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005145462,0.0006039779,0.0005036043,0.00081888185,0.00087359746,0.0014632123,0.0009844952,0.0012650574,0.01213512],"category_scores_gemma":[0.0016056615,0.00024891098,0.0010609834,0.0007125227,0.0024095043,0.0019299504,0.002613969,0.0013240636,0.0007530026],"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":[0.00026969184,0.00032937876,0.01679101,0.00011253242,0.000081285594,0.0015900527,0.00069856044,0.16276398,0.0067753736,0.77290875,0.001864519,0.03581492],"study_design_scores_gemma":[0.000095601965,0.00032978182,0.023197694,0.000059839644,0.000049117287,0.0004544143,0.0006250259,0.20084392,0.001585986,0.7614905,0.011201471,0.00006663491],"about_ca_topic_score_codex":0.005720312,"about_ca_topic_score_gemma":0.004162906,"teacher_disagreement_score":0.01213512,"about_ca_system_score_codex":0.0015962062,"about_ca_system_score_gemma":0.0005880068,"threshold_uncertainty_score":0.04059601},"labels":[],"label_agreement":null},{"id":"W2892247360","doi":"10.3386/w18091","title":"Catch-up and Fall-back through Innovation and Imitation","year":2012,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Imitation; Frontier; Productivity; Incentive; Economics; Endogenous growth theory; Efficient frontier; Industrial organization; Function (biology); Economic geography; Microeconomics; Market economy; Financial economics; Macroeconomics; Human capital; Geography","score_opus":0.4240072921242247,"score_gpt":0.4476338970767278,"score_spread":0.023626604952503072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892247360","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":[0.70860195,0.0015614552,0.20038794,0.0064636194,0.000112117996,0.00015434893,0.0002945461,0.00025988586,0.08216414],"genre_scores_gemma":[0.9781407,0.0005922973,0.0048644496,0.0001599797,0.000034723147,0.00006872974,0.000038987822,0.00002171092,0.016078407],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999331,0.00020177933,0.000029214336,0.00016820991,0.00008225698,0.00018763667],"domain_scores_gemma":[0.99794155,0.00096932345,0.00045397365,0.00021663996,0.00012000161,0.00029841907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001083291,0.0006697378,0.0007876607,0.0007593225,0.0008622417,0.0025778497,0.0010944881,0.0031726377,0.006134486],"category_scores_gemma":[0.0057253367,0.0005179612,0.0011259061,0.0005881394,0.0031303866,0.0043772715,0.001858556,0.0014944082,0.000778967],"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":[0.00024148864,0.00015660899,0.011963102,0.00018313919,0.00007574749,0.0014808187,0.0015880346,0.22612755,0.0041230945,0.72073513,0.0022716762,0.031053588],"study_design_scores_gemma":[0.00012688193,0.00022759476,0.0061987885,0.000103598824,0.00008716644,0.0005597061,0.0009966323,0.48439163,0.0015235188,0.49795377,0.0077568335,0.00007378752],"about_ca_topic_score_codex":0.005356303,"about_ca_topic_score_gemma":0.0025746236,"teacher_disagreement_score":0.006134486,"about_ca_system_score_codex":0.0013679054,"about_ca_system_score_gemma":0.0009716618,"threshold_uncertainty_score":0.02052188},"labels":[],"label_agreement":null},{"id":"W2892272378","doi":"10.3386/w20502","title":"Growth, Trade, and Inequality","year":2014,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Sophistication; Spillover effect; Endogenous growth theory; Inequality; Economics; Economic inequality; Productivity; Variety (cybernetics); Product (mathematics); sort; Open economy; Labour economics; Industrial organization; Microeconomics; Macroeconomics; Market economy; Human capital","score_opus":0.34435576030458914,"score_gpt":0.4341430786598382,"score_spread":0.08978731835524906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892272378","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":[0.6458167,0.008054359,0.10361332,0.04613039,0.00036846753,0.000057691326,0.0015293884,0.00033140468,0.19409826],"genre_scores_gemma":[0.990328,0.0014381756,0.0016151139,0.00027257364,0.00009990816,0.000025577232,0.000102970334,0.00001653018,0.0061011864],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996568,0.00014630015,0.000009254217,0.000055991863,0.00004177419,0.000089812944],"domain_scores_gemma":[0.9985966,0.00078254315,0.0002608058,0.00011990038,0.00007933446,0.00016087253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000785175,0.00038199572,0.00041521166,0.0009027408,0.0008381299,0.0025421567,0.00046368543,0.0011587263,0.0048034596],"category_scores_gemma":[0.0032009706,0.00014587524,0.00042221014,0.0013113987,0.0021718896,0.0019518974,0.001737791,0.001271539,0.00031736775],"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":[0.000041832776,0.000079898855,0.011373078,0.000033778044,0.000038723767,0.0002347234,0.00040212253,0.047438655,0.00023240532,0.9218607,0.0040977322,0.014166308],"study_design_scores_gemma":[0.000014459623,0.000017548147,0.004855065,0.00004308423,0.000012227914,0.00007157722,0.00023342056,0.059917267,0.0000740845,0.9293061,0.0054429015,0.000012290415],"about_ca_topic_score_codex":0.0059098415,"about_ca_topic_score_gemma":0.0043945974,"teacher_disagreement_score":0.0059098415,"about_ca_system_score_codex":0.0020879305,"about_ca_system_score_gemma":0.0005837128,"threshold_uncertainty_score":0.016069114},"labels":[],"label_agreement":null},{"id":"W2892375613","doi":"10.3386/w12280","title":"Innovativity: A Comparison Across Seven European Countries","year":2006,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"Social Sciences and Humanities Research Council of Canada; Centre National de la Recherche Scientifique; Industry Canada","keywords":"Tobit model; Productivity; Estimation; Business; Production (economics); R&D intensity; Economic geography; Total factor productivity; Economics; Regional science; Econometrics; Geography; Economic growth; Macroeconomics","score_opus":0.34992999986537393,"score_gpt":0.464886307295929,"score_spread":0.11495630743055507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892375613","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":[0.9668929,0.0049172337,0.0017627168,0.0001906411,0.000040018745,0.00002364644,0.00163818,0.00004722403,0.02448748],"genre_scores_gemma":[0.9930147,0.0015645742,0.0011498376,0.0000998352,0.000022379474,0.000022271124,0.0032311517,0.000029588246,0.00086573366],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977416,0.0005070434,0.00030683808,0.0005220258,0.0005892648,0.00033323988],"domain_scores_gemma":[0.99394953,0.0020268299,0.0021588213,0.0006052685,0.00093030476,0.0003292442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032214015,0.0002947401,0.00079118874,0.006780523,0.00045878408,0.0026720935,0.0004764164,0.00047683032,0.0018425751],"category_scores_gemma":[0.0056316135,0.00014568813,0.00095368206,0.0070768977,0.0005794068,0.0014295432,0.0021907059,0.00039761033,0.0003333706],"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":[0.0012267096,0.00016788147,0.7750745,0.0010462436,0.002007178,0.0015711257,0.00393358,0.006052154,0.0029087944,0.029520772,0.0035305,0.17296067],"study_design_scores_gemma":[0.00006511688,0.00021343978,0.96464956,0.0003055107,0.000450117,0.001084796,0.003306651,0.0010776832,0.0019509745,0.0036087162,0.02323516,0.000052270116],"about_ca_topic_score_codex":0.0026095817,"about_ca_topic_score_gemma":0.0018373802,"teacher_disagreement_score":0.006780523,"about_ca_system_score_codex":0.00057010265,"about_ca_system_score_gemma":0.0004265932,"threshold_uncertainty_score":0.017036617},"labels":[],"label_agreement":null},{"id":"W2892871535","doi":"","title":"Real GDP: Third-Quarter Final Estimate","year":2009,"lang":"en","type":"article","venue":"Economic Trends","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Real gross domestic product; Recession; Economics; Econometrics; Statistics; Mathematics; Geography; Macroeconomics","score_opus":0.03046373132252037,"score_gpt":0.2415517860804584,"score_spread":0.21108805475793804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892871535","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02806055,0.002741003,0.0074972846,0.005082703,0.0037925334,0.0005375523,0.82333094,0.0022015444,0.1267559],"genre_scores_gemma":[0.08680035,0.00395712,0.0052646194,0.0016302365,0.00089583534,0.0016531904,0.8110858,0.0007956239,0.08791717],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99777204,0.00020238485,0.0001471849,0.00024368215,0.0012810362,0.00035376038],"domain_scores_gemma":[0.9949013,0.00022130345,0.0003535003,0.00019707593,0.0041952846,0.00013145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016532637,0.0013168618,0.0005552412,0.0062459335,0.00053129566,0.0021899408,0.0010643562,0.0008769008,0.017594907],"category_scores_gemma":[0.005134493,0.00042835443,0.001060941,0.0077034617,0.00030941528,0.0012752151,0.0013179058,0.0024142435,0.026871277],"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":[0.00011295281,0.00005981073,0.011830876,0.00024794048,0.000066373796,0.0001038504,0.000087074244,0.0017408382,0.00021909531,0.0030568077,0.9595302,0.022944288],"study_design_scores_gemma":[0.00005404481,0.000080858656,0.0931054,0.00026983442,0.00009658761,0.00019138506,0.00048564363,0.0015605399,0.0024534508,0.0010106944,0.90064263,0.00004904901],"about_ca_topic_score_codex":0.064198166,"about_ca_topic_score_gemma":0.03135065,"teacher_disagreement_score":0.064198166,"about_ca_system_score_codex":0.0022563622,"about_ca_system_score_gemma":0.0022350661,"threshold_uncertainty_score":0.12764901},"labels":[],"label_agreement":null},{"id":"W2894208134","doi":"10.31580/jei.v5i3.96","title":"Impact of innovation on economic development: Cross nation comparison of Canada, South Korea and Pakistan","year":2018,"lang":"en","type":"article","venue":"Journal of Economic Info","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":9,"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":"Foreign direct investment; Business; International trade; Technology development; Economics; Economic growth; Development economics; International economics; Macroeconomics","score_opus":0.044253251765528634,"score_gpt":0.29351909906854246,"score_spread":0.24926584730301382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894208134","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":[0.9963486,0.0002913597,0.00003498099,0.00010605871,0.0000032110695,0.0000055699875,0.0009808659,0.0000017644778,0.0022274577],"genre_scores_gemma":[0.9983625,0.0003670583,0.00003839794,0.000013279708,0.0000018271244,0.0000024970686,0.00088664773,8.4190634e-7,0.00032697537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965227,0.00002252756,0.000017391603,0.000038257716,0.00011517408,0.00015446353],"domain_scores_gemma":[0.99827015,0.00024299974,0.0003703809,0.00004236235,0.0007210069,0.00035305577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003542671,0.00018021898,0.00024148387,0.0019985484,0.00086435775,0.0012222839,0.00018387046,0.00017729489,0.0012925386],"category_scores_gemma":[0.0014532268,0.00008118744,0.00035633976,0.0038734362,0.0004105011,0.0004869187,0.0007590566,0.0003272316,0.000109967135],"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":[0.000039474417,0.000019774054,0.9933964,0.000022826875,0.0000739241,0.00022714595,0.00031577682,0.00060420204,0.0001554288,0.00040072965,0.00031055493,0.0044337106],"study_design_scores_gemma":[0.0000016884044,0.000010522451,0.9979656,0.000008218138,0.000022110074,0.00004755556,0.00090677326,0.0002943209,0.000085819964,0.000024116469,0.0006281436,0.000005194674],"about_ca_topic_score_codex":0.84121925,"about_ca_topic_score_gemma":0.9047037,"teacher_disagreement_score":0.15878075,"about_ca_system_score_codex":0.0046934243,"about_ca_system_score_gemma":0.008059456,"threshold_uncertainty_score":0.31943166},"labels":[],"label_agreement":null},{"id":"W2895552963","doi":"10.1177/2277978718795773","title":"Accounting for Growth Effects of Age Structure Transition through Public Education Expenditure: New Macroeconomic Evidence from India","year":2018,"lang":"en","type":"article","venue":"South Asian Journal of Macroeconomics and Public Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Human capital; Economics; Investment (military); Productivity; Public expenditure; Higher education; Gross fixed capital formation; Labour economics; Dividend; Current account; Demographic economics; Development economics; Macroeconomics; Economic growth; Gross domestic product; Public finance; Exchange rate; Finance; Political science","score_opus":0.019437093051012908,"score_gpt":0.2216655739711902,"score_spread":0.20222848092017728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895552963","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":[0.9666962,0.0034343284,0.0012341924,0.0027002667,0.00008888159,0.00002100928,0.007415189,0.00011342193,0.018296521],"genre_scores_gemma":[0.99330306,0.0016912676,0.00017544287,0.00009716171,0.00007206728,0.0000057982593,0.003107961,0.00001618136,0.0015310128],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996799,0.00005426008,0.000027393078,0.000052311152,0.000074087824,0.00011197739],"domain_scores_gemma":[0.9967223,0.0011879277,0.0011455927,0.00023667916,0.0004527931,0.00025465712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005188395,0.00028695256,0.0003221744,0.0013847491,0.00031502068,0.0017492257,0.00041016488,0.00028794655,0.0024288022],"category_scores_gemma":[0.0021139435,0.00015184989,0.0007168958,0.002999562,0.0004623695,0.00090890494,0.0011126,0.0010792423,0.0006189859],"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":[0.000380629,0.00014600264,0.92050946,0.00039888435,0.00034940877,0.0012502306,0.0013936613,0.013879943,0.00068372826,0.013594169,0.012688136,0.03472582],"study_design_scores_gemma":[0.00001305724,0.000072508024,0.97676647,0.00008217419,0.00032711567,0.00017626703,0.001506654,0.0067355363,0.000714549,0.0017983437,0.011777226,0.00003023798],"about_ca_topic_score_codex":0.07814184,"about_ca_topic_score_gemma":0.051576205,"teacher_disagreement_score":0.07814184,"about_ca_system_score_codex":0.0012017958,"about_ca_system_score_gemma":0.0011369446,"threshold_uncertainty_score":0.15537399},"labels":[],"label_agreement":null},{"id":"W2896295151","doi":"10.1002/ijfe.1662","title":"Exports, capital inflows, relative prices, and income growth in South Korea: An application of the balance of payments constraint growth model","year":2018,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Economics; Cointegration; Balance of payments; Constraint (computer-aided design); Distributed lag; Monetary economics; Relative price; Capital (architecture); Macroeconomics; International economics; Econometrics","score_opus":0.014402541021508676,"score_gpt":0.21561960821200402,"score_spread":0.20121706719049534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896295151","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":[0.9480097,0.0004371147,0.039935034,0.0017634077,0.00003788393,0.000053118907,0.00046537208,0.00008844362,0.009210032],"genre_scores_gemma":[0.99620557,0.00032993077,0.0015130959,0.000035460074,0.00000906554,0.000025055673,0.0001448572,0.000011492599,0.0017254221],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997887,0.00009296365,0.000012236044,0.000044936965,0.000021843938,0.000039318562],"domain_scores_gemma":[0.9989004,0.0006211653,0.00024720753,0.000035198776,0.00011491187,0.00008110196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009854087,0.0006807499,0.00056558906,0.00072161265,0.0003496317,0.0017040946,0.00059525215,0.00063897093,0.0029781288],"category_scores_gemma":[0.0019067173,0.00036468913,0.00078544626,0.0008630423,0.0005961952,0.0012487586,0.0010978978,0.0011353592,0.0002315645],"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":[0.00020369899,0.0003058422,0.09529638,0.00016002613,0.00027524107,0.0015847656,0.00049356924,0.783367,0.0019673894,0.09735429,0.0023868475,0.01660494],"study_design_scores_gemma":[0.000033115946,0.000054725533,0.007870733,0.000024043495,0.0000653621,0.00009262581,0.00022435156,0.9773726,0.00027799132,0.013152398,0.000811193,0.000020983034],"about_ca_topic_score_codex":0.0251569,"about_ca_topic_score_gemma":0.010293668,"teacher_disagreement_score":0.0251569,"about_ca_system_score_codex":0.0012263872,"about_ca_system_score_gemma":0.0015607495,"threshold_uncertainty_score":0.050020993},"labels":[],"label_agreement":null},{"id":"W2896350551","doi":"10.32609/0042-8736-2018-7-65-81","title":"Structural transformation of China’s economy: Success or failure?","year":2018,"lang":"en","type":"article","venue":"Voprosy Ekonomiki","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Middle income trap; China; Economics; Trap (plumbing); Capital (architecture); Productivity; Economic system; Total factor productivity; Economic reform; Development economics; Economic growth; Political science; Geography","score_opus":0.023067281386811612,"score_gpt":0.2177414485779713,"score_spread":0.1946741671911597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896350551","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":[0.8035007,0.0068423273,0.0038870948,0.07107874,0.00060692977,0.0001846398,0.00021753745,0.00029801083,0.11338393],"genre_scores_gemma":[0.99475926,0.0013168228,0.0004861048,0.0006466866,0.000069732734,0.000015022484,0.000039204206,0.000012724224,0.0026544041],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99888724,0.00021954809,0.000046069883,0.00009017301,0.00020640434,0.00055061845],"domain_scores_gemma":[0.9984389,0.00014562707,0.0002132354,0.00017536352,0.0003106948,0.0007161244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020633168,0.00033193652,0.0002954029,0.00075179763,0.0018818866,0.0031973366,0.00076879794,0.0009517736,0.00409558],"category_scores_gemma":[0.002468975,0.00011213387,0.0002867119,0.0008507201,0.0034667677,0.003211698,0.0028372072,0.0013100498,0.00040976412],"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":[0.0002153779,0.00047387817,0.13682397,0.00093167165,0.00014834249,0.0039530937,0.018716164,0.0036381437,0.0036688761,0.3929913,0.024084961,0.41435423],"study_design_scores_gemma":[0.000115536655,0.0018512373,0.36479005,0.0014191322,0.00014209976,0.0025996827,0.06590565,0.01147574,0.0072270865,0.1925588,0.35168436,0.00023067686],"about_ca_topic_score_codex":0.0069005694,"about_ca_topic_score_gemma":0.009007679,"teacher_disagreement_score":0.0069005694,"about_ca_system_score_codex":0.002428919,"about_ca_system_score_gemma":0.0071326345,"threshold_uncertainty_score":0.017623127},"labels":[],"label_agreement":null},{"id":"W2898192339","doi":"10.1504/ijesb.2018.095908","title":"The limited innovation of small businesses in the solar photovoltaic sector in the USA: is small business innovation research program such a boon for US small businesses?","year":2018,"lang":"en","type":"article","venue":"International Journal of Entrepreneurship and Small Business","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Small business; Entrepreneurship; Business; Photovoltaic system; Marketing; Industrial organization; Finance; Engineering","score_opus":0.16298162634554117,"score_gpt":0.31974300725607807,"score_spread":0.1567613809105369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898192339","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":[0.97536874,0.00090622884,0.00033359526,0.013525241,0.000018877912,0.000011518133,0.00024414918,0.0000065863464,0.00958504],"genre_scores_gemma":[0.997401,0.0005882777,0.0000622797,0.00061785465,0.00002218509,0.000008191195,0.00014212824,0.0000016630394,0.0011564691],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990332,0.0003017201,0.000039054103,0.00010528771,0.0002785969,0.00024214454],"domain_scores_gemma":[0.98388094,0.007112783,0.0040292526,0.00037335567,0.0021450096,0.0024587126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019429122,0.000061937164,0.0002529882,0.000635999,0.00058389,0.0017919255,0.00035052863,0.00061492744,0.00268666],"category_scores_gemma":[0.011825116,0.00008166357,0.00012949221,0.0012649532,0.00066444575,0.0017728515,0.0008343461,0.0012885879,0.00033446506],"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":[0.00039515962,0.00086114206,0.83518076,0.00018411993,0.00008462851,0.0006563189,0.0044421405,0.00097005925,0.0012356638,0.019126358,0.01787221,0.11899143],"study_design_scores_gemma":[0.00002789796,0.00019808434,0.96268225,0.00017756825,0.000055986286,0.00019634161,0.009617177,0.001763863,0.00091328804,0.0050735027,0.019275542,0.000018535196],"about_ca_topic_score_codex":0.023090754,"about_ca_topic_score_gemma":0.05436092,"teacher_disagreement_score":0.023090754,"about_ca_system_score_codex":0.0014380834,"about_ca_system_score_gemma":0.0017693951,"threshold_uncertainty_score":0.045912683},"labels":[],"label_agreement":null},{"id":"W2898410326","doi":"","title":"Age-Efficiency and Replacement Requirements for Measures of Capital Services","year":2018,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital (architecture); Consistency (knowledge bases); Physical capital; Econometrics; Capital requirement; Internal consistency; Cost of capital; Economics; Computer science; Microeconomics; Mathematics; Statistics; Human capital; Geography","score_opus":0.05603926361189784,"score_gpt":0.2515970517702605,"score_spread":0.19555778815836264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898410326","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":[0.072276525,0.009307848,0.87286234,0.002403296,0.00070553384,0.00039285485,0.005600301,0.00047551305,0.035975747],"genre_scores_gemma":[0.65483373,0.009140968,0.3083263,0.0010822146,0.0012053449,0.001668962,0.008775035,0.00038439204,0.0145830335],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97877437,0.0061866897,0.0033673407,0.0033598472,0.007020761,0.0012909886],"domain_scores_gemma":[0.9151139,0.046072464,0.011223757,0.013845447,0.012690565,0.0010538597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023119895,0.0012846586,0.002240154,0.0052961744,0.0012825662,0.0045785755,0.0039391005,0.0033404343,0.0063112597],"category_scores_gemma":[0.12807672,0.0012754628,0.0025228793,0.0056818947,0.003864074,0.010668141,0.0032838036,0.0032591685,0.003830658],"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":[0.00012813984,0.000061100945,0.019966224,0.0007129415,0.00011444503,0.0003183,0.0009954082,0.016869815,0.0017077219,0.8787352,0.0049174246,0.075473376],"study_design_scores_gemma":[0.000037104466,0.00027740272,0.038462337,0.000865871,0.0000779038,0.0018282635,0.0007714779,0.03453372,0.0056578177,0.84449834,0.072814584,0.00017510545],"about_ca_topic_score_codex":0.0031942027,"about_ca_topic_score_gemma":0.0016680396,"teacher_disagreement_score":0.023119895,"about_ca_system_score_codex":0.0025276465,"about_ca_system_score_gemma":0.0017984316,"threshold_uncertainty_score":0.12227118},"labels":[],"label_agreement":null},{"id":"W2898793048","doi":"10.3390/su10113974","title":"International R&amp;D Spillovers and Innovation Efficiency","year":2018,"lang":"en","type":"article","venue":"Sustainability","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Brock University; National Natural Science Foundation of China","keywords":"Productivity; Economics; Stock (firearms); Panel data; Frontier; Stochastic frontier analysis; Sustainable development; Industrial organization; International trade; Production (economics); Econometrics; Microeconomics; Macroeconomics","score_opus":0.024515922645013236,"score_gpt":0.25525918523496166,"score_spread":0.23074326258994843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898793048","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":[0.9437329,0.0056363232,0.013897211,0.0007637535,0.0000335502,0.00007996503,0.0036692277,0.00012824302,0.03205885],"genre_scores_gemma":[0.9948153,0.0012793642,0.0010083225,0.000060089475,0.000032042954,0.000023737522,0.0014708128,0.000007769214,0.0013026318],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99794835,0.00047398807,0.00023282808,0.00045664675,0.00051116484,0.00037704792],"domain_scores_gemma":[0.9773741,0.010538609,0.008252321,0.0019056376,0.001349003,0.00058041065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045508225,0.00044038016,0.0008736661,0.0048003467,0.00031677197,0.0026390397,0.00029912172,0.00051770627,0.0038378194],"category_scores_gemma":[0.01461762,0.00023217425,0.0013666566,0.0055784574,0.0009542938,0.0021917287,0.0021228197,0.00080932624,0.0007480551],"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":[0.0002313602,0.00028883835,0.8179229,0.0005464998,0.0012691253,0.00054104923,0.0004338198,0.06584541,0.001999836,0.030298535,0.0017852056,0.078837544],"study_design_scores_gemma":[0.000033633252,0.00022477031,0.955787,0.00022054145,0.00054760085,0.00035751643,0.0006541089,0.010226659,0.0040367567,0.01717536,0.010680067,0.000056015848],"about_ca_topic_score_codex":0.002725528,"about_ca_topic_score_gemma":0.0022164993,"teacher_disagreement_score":0.0048003467,"about_ca_system_score_codex":0.0011498011,"about_ca_system_score_gemma":0.0008639247,"threshold_uncertainty_score":0.024067402},"labels":[],"label_agreement":null},{"id":"W2899412664","doi":"","title":"TiO2: : Kronos profits surge on higher TiO2 prices, sales","year":2017,"lang":"eo","type":"article","venue":"Industrial Minerals","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Currency; Agricultural economics; Profit (economics); Business; Monetary economics; Economics; Commerce; Geography; Microeconomics","score_opus":0.1851707953221805,"score_gpt":0.2750869676742837,"score_spread":0.0899161723521032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899412664","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.070437,0.0084053865,0.0025391087,0.054416902,0.015715387,0.00013567177,0.010017371,0.008020935,0.83031213],"genre_scores_gemma":[0.13389732,0.005795776,0.0016291877,0.008603933,0.0025360277,0.00005139887,0.005723513,0.0021223116,0.8396405],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987877,0.000042640662,0.00004125377,0.000109864224,0.0008225817,0.00019599071],"domain_scores_gemma":[0.9984427,0.00010164101,0.00014325562,0.000086138956,0.0008440254,0.00038218845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090218097,0.0007216749,0.00024293202,0.0012822548,0.0019958084,0.007373064,0.0004624389,0.0013359612,0.085922435],"category_scores_gemma":[0.0020679887,0.00029791216,0.00041146568,0.0011435939,0.00088745734,0.0034908326,0.001608723,0.00224692,0.045302194],"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":[0.00018216948,0.00009038233,0.0028703976,0.00027353657,0.000012238347,0.00027442994,0.00036709005,0.000088464854,0.009484064,0.0063874577,0.9053487,0.07462115],"study_design_scores_gemma":[0.000014340463,0.00008048756,0.0052981093,0.00012621503,0.000011388857,0.00032328893,0.0005368633,0.00012875203,0.0039963694,0.00047122315,0.98898554,0.000027347245],"about_ca_topic_score_codex":0.009213566,"about_ca_topic_score_gemma":0.017552568,"teacher_disagreement_score":0.085922435,"about_ca_system_score_codex":0.002298557,"about_ca_system_score_gemma":0.0021269368,"threshold_uncertainty_score":0.28743917},"labels":[],"label_agreement":null},{"id":"W2899506036","doi":"","title":"Q2 company results show further recovery for TiO2 buyers, sellers","year":2017,"lang":"en","type":"article","venue":"Industrial Minerals","topic":"Economic Growth and Productivity","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":"Revenue; Earnings before interest, taxes, depreciation, and amortization; Profit (economics); Business; Net profit; Quarter (Canadian coin); Agricultural economics; Commerce; Profit margin; Finance; Economics; Earnings; Geography","score_opus":0.1694640423097777,"score_gpt":0.2672957353297097,"score_spread":0.09783169301993197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899506036","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33217356,0.0036280192,0.003049876,0.016825853,0.0011092821,0.0004931561,0.040883947,0.0026407242,0.5991956],"genre_scores_gemma":[0.61507714,0.0012364854,0.0009798388,0.003963521,0.00043671075,0.00013251447,0.023414088,0.00031385894,0.35444584],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983511,0.00009476639,0.0000656022,0.0002336636,0.00092169474,0.00033315038],"domain_scores_gemma":[0.98887444,0.0022186623,0.0012073753,0.00045191657,0.0059927884,0.0012547942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019087283,0.00048162998,0.00031015303,0.0020603763,0.0012732429,0.004046417,0.0003687589,0.0012303283,0.07160695],"category_scores_gemma":[0.005169612,0.00020628337,0.0007134077,0.0018131108,0.00047493892,0.0020065983,0.00077323825,0.0011957808,0.025893008],"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":[0.0010280593,0.001147174,0.31374958,0.00067433156,0.00012679416,0.000840429,0.0014566887,0.001085702,0.004538589,0.011084067,0.48952562,0.17474297],"study_design_scores_gemma":[0.00010836866,0.000756874,0.5344845,0.0001323172,0.000092503025,0.0004079907,0.005181789,0.001289877,0.0066987188,0.0013319502,0.4494038,0.00011131498],"about_ca_topic_score_codex":0.03360513,"about_ca_topic_score_gemma":0.038136944,"teacher_disagreement_score":0.07160695,"about_ca_system_score_codex":0.002566309,"about_ca_system_score_gemma":0.0018013143,"threshold_uncertainty_score":0.2395491},"labels":[],"label_agreement":null},{"id":"W2900583207","doi":"10.5465/ambpp.2012.17553abstract","title":"Complementary Ideas and Innovation Fluctuations","year":2012,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Productivity; Quality (philosophy); Economics; Industrial organization; Business; Macroeconomics","score_opus":0.057022718061844016,"score_gpt":0.2591455984996173,"score_spread":0.20212288043777332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900583207","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":[0.9353486,0.0021527123,0.034013018,0.0023249013,0.00006926521,0.00004126468,0.00041644805,0.00017001509,0.02546388],"genre_scores_gemma":[0.9979056,0.00023385085,0.000792869,0.00005452261,0.000037574904,0.000012265126,0.000051589966,0.000006347681,0.0009052603],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988386,0.00031065498,0.000075430515,0.00030835596,0.00025510366,0.00021198025],"domain_scores_gemma":[0.9857679,0.008533249,0.0033134741,0.0011897758,0.0005576574,0.0006378105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022170437,0.00022852063,0.0008340219,0.002095495,0.00065145415,0.0030384492,0.00057365024,0.0009880178,0.0043132007],"category_scores_gemma":[0.019126488,0.00030879435,0.0007364794,0.0027915095,0.0022379402,0.002973025,0.0018446267,0.0010189246,0.00031515735],"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":[0.00049669784,0.00021246796,0.12427129,0.00022918906,0.00027012272,0.0011551892,0.0013398641,0.07214496,0.0043715835,0.7087946,0.0026398944,0.08407407],"study_design_scores_gemma":[0.00009809774,0.00018003989,0.12096281,0.0000529934,0.00012373122,0.0005128326,0.00058437185,0.092299506,0.0012681924,0.7753781,0.008466141,0.000073132775],"about_ca_topic_score_codex":0.0020633454,"about_ca_topic_score_gemma":0.0011162828,"teacher_disagreement_score":0.0043132007,"about_ca_system_score_codex":0.0016735466,"about_ca_system_score_gemma":0.00052994123,"threshold_uncertainty_score":0.014429092},"labels":[],"label_agreement":null},{"id":"W2901691142","doi":"10.5465/ambpp.2012.15601symposium","title":"Innovation and Entrepreneurship in Emerging Economies","year":2012,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Entrepreneurship; Context (archaeology); Emerging markets; China; Economy; Political science; Business; Economics; Geography","score_opus":0.042301771375036414,"score_gpt":0.23860722695359113,"score_spread":0.19630545557855472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901691142","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":[0.55851954,0.059943426,0.00534643,0.03558016,0.00037842852,0.0001383999,0.00018010804,0.000026991085,0.33988658],"genre_scores_gemma":[0.96974665,0.021604963,0.0005268027,0.0004961261,0.0001511024,0.00005372042,0.000025549767,0.0000027269255,0.007392359],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993364,0.00032091062,0.00002789097,0.0000652487,0.000093796436,0.00015572409],"domain_scores_gemma":[0.9982797,0.0010145829,0.00026207717,0.000050992378,0.00010446565,0.00028815767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013137307,0.00016856095,0.0002778423,0.001431111,0.0013014594,0.0026103621,0.00023411261,0.0008815053,0.0027161737],"category_scores_gemma":[0.0024777658,0.00009370479,0.0001763287,0.0019787485,0.004136916,0.002601178,0.0021787123,0.000917327,0.00020861818],"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":[0.000048081725,0.0001808618,0.03730508,0.0002950927,0.00003944913,0.0012550156,0.011060485,0.0027357738,0.00018795911,0.8495227,0.005454849,0.09191456],"study_design_scores_gemma":[0.000051698767,0.00013228487,0.09404897,0.0008297737,0.000031047006,0.0006111507,0.021127373,0.0028966635,0.0001935363,0.7166379,0.16340673,0.000032913707],"about_ca_topic_score_codex":0.0032973364,"about_ca_topic_score_gemma":0.0030031349,"teacher_disagreement_score":0.0032973364,"about_ca_system_score_codex":0.0014783484,"about_ca_system_score_gemma":0.001477129,"threshold_uncertainty_score":0.010726213},"labels":[],"label_agreement":null},{"id":"W2902601158","doi":"10.1016/j.econlet.2018.11.027","title":"Will the new technologies turn the page on U.S. productivity growth?","year":2018,"lang":"en","type":"article","venue":"Economics Letters","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"University of Toronto","funders":"Social Science Research Council","keywords":"Slowdown; Productivity; Economics; Macroeconomics; Economic growth","score_opus":0.019146282333641313,"score_gpt":0.18594131146538204,"score_spread":0.1667950291317407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902601158","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002773167,0.0066648554,0.0006735025,0.91220105,0.02075645,0.000004437416,0.0003525478,0.00007520452,0.056498714],"genre_scores_gemma":[0.22160384,0.05967138,0.0023853271,0.48012877,0.09012191,0.000064786,0.00061371835,0.0003478273,0.1450625],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989165,0.00022345524,0.00005109259,0.00014693946,0.0003653347,0.00029674268],"domain_scores_gemma":[0.9912984,0.003892864,0.0007273733,0.00042157783,0.0027658166,0.00089404476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027819923,0.0005652156,0.00064449984,0.0011953367,0.0017098254,0.006463239,0.0006490852,0.0062305266,0.034535136],"category_scores_gemma":[0.018652849,0.00019185762,0.0005274163,0.001608556,0.0027352972,0.009247841,0.0013234284,0.007108446,0.010934378],"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":[0.00009808029,0.000048449878,0.0012373308,0.00006997653,0.000019977668,0.00009201557,0.0001185423,0.00031944187,0.00017070906,0.1736934,0.7688374,0.055294752],"study_design_scores_gemma":[0.000037985203,0.000056534132,0.0037142292,0.00040178283,0.000029453582,0.00006134288,0.0010030802,0.00080650573,0.00063189433,0.19647656,0.7967166,0.00006415046],"about_ca_topic_score_codex":0.009315992,"about_ca_topic_score_gemma":0.010652084,"teacher_disagreement_score":0.034535136,"about_ca_system_score_codex":0.003109474,"about_ca_system_score_gemma":0.0024730454,"threshold_uncertainty_score":0.115531564},"labels":[],"label_agreement":null},{"id":"W2902974019","doi":"10.1080/09638199.2018.1550801","title":"Globalization, regionalization and convergence in East Asia","year":2018,"lang":"en","type":"article","venue":"Journal of International Trade & Economic Development","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Acadia University","funders":"","keywords":"Convergence (economics); Globalization; East Asia; Economics; Economic geography; International trade; Development economics; Economy; Geography; China; Macroeconomics; Market economy","score_opus":0.029758794147949286,"score_gpt":0.23040692314315936,"score_spread":0.20064812899521006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902974019","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":[0.98698634,0.0012588076,0.0007358157,0.00020525389,0.0000053749777,0.000004232287,0.00004910221,0.0000062098156,0.010748855],"genre_scores_gemma":[0.9990305,0.0004686234,0.00017496479,0.000009786012,0.000005954521,0.0000015431268,0.00003041212,0.0000015462734,0.00027672036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997625,0.00009156346,0.000022159076,0.000036413265,0.000041485393,0.000045854897],"domain_scores_gemma":[0.9985262,0.00042503313,0.00058017793,0.00009220934,0.00026512824,0.00011128086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084702886,0.00016390516,0.00022963148,0.0014906966,0.0003118053,0.0010171763,0.00011501418,0.00011291682,0.0016982307],"category_scores_gemma":[0.0022449093,0.000066196044,0.00019487945,0.0020156673,0.0009222522,0.0010488878,0.00092046265,0.00029618404,0.00011447726],"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":[0.0001959327,0.000063329484,0.85616195,0.0002114777,0.0001962364,0.0010061528,0.012026521,0.010695595,0.0017656664,0.052196633,0.00068660924,0.06479402],"study_design_scores_gemma":[0.00000779614,0.0000823902,0.97093475,0.0001328531,0.00006341074,0.00039608707,0.007858014,0.0034381512,0.0006405764,0.01202041,0.0044085705,0.000016938542],"about_ca_topic_score_codex":0.0041556736,"about_ca_topic_score_gemma":0.0034911928,"teacher_disagreement_score":0.0041556736,"about_ca_system_score_codex":0.00044917283,"about_ca_system_score_gemma":0.00041264645,"threshold_uncertainty_score":0.008262932},"labels":[],"label_agreement":null},{"id":"W2903713143","doi":"10.1007/bf03404602","title":"Economic Growth and Productivity Gains from Capital Inflow: A Rejoinder","year":2004,"lang":"en","type":"article","venue":"Journal of Quantitative Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"Carleton University","funders":"","keywords":"Economics; Inflow; Capital outflow; Productivity; Capital (architecture); Natural resource economics; Monetary economics; Macroeconomics; Capital formation; Neoclassical economics; Financial capital; Geology; Geography","score_opus":0.049567729106268554,"score_gpt":0.2533470771285834,"score_spread":0.20377934802231484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903713143","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021116864,0.04417145,0.004077086,0.9271688,0.016843693,0.000014677381,0.00018845458,0.000052574207,0.005371565],"genre_scores_gemma":[0.11837001,0.07667713,0.01133449,0.5505613,0.22076064,0.0001530768,0.00026770204,0.00042233165,0.021453254],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99456763,0.0011964445,0.00059928634,0.0013828668,0.0019710644,0.00028264473],"domain_scores_gemma":[0.957011,0.02933595,0.0017108587,0.0032106943,0.0076346793,0.0010968903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013426607,0.001693238,0.00343001,0.0023762838,0.0030622226,0.009529887,0.0044150883,0.024804398,0.0057991664],"category_scores_gemma":[0.035729937,0.000824633,0.001467393,0.0028526862,0.021138322,0.026380107,0.008748787,0.033313707,0.0035293452],"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":[0.00024264136,0.0001238635,0.0012821517,0.00041796558,0.0001692605,0.00027767997,0.0010289138,0.00065802544,0.00034605683,0.56122524,0.35207716,0.082151055],"study_design_scores_gemma":[0.00008098407,0.000028194081,0.0008230768,0.0003734145,0.0000479308,0.00014504304,0.000743766,0.00047546215,0.0003344841,0.76045305,0.23642506,0.00006949445],"about_ca_topic_score_codex":0.004444424,"about_ca_topic_score_gemma":0.0049320986,"teacher_disagreement_score":0.024804398,"about_ca_system_score_codex":0.0034558482,"about_ca_system_score_gemma":0.005261631,"threshold_uncertainty_score":0.07100749},"labels":[],"label_agreement":null},{"id":"W2904204890","doi":"10.2139/ssrn.3251698","title":"Market Potential and Global Growth over the Long Twentieth Century","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Simon Fraser University","funders":"","keywords":"Economics; Market economy","score_opus":0.006711958482567265,"score_gpt":0.19418183215305115,"score_spread":0.1874698736704839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904204890","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":[0.59662235,0.119548626,0.00288228,0.053624716,0.0009085927,0.000013982633,0.0029784108,0.00008104441,0.22334002],"genre_scores_gemma":[0.96793026,0.021886699,0.00020466256,0.00046249194,0.0005697892,0.0000044717035,0.00033944004,0.000016681635,0.0085855],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99987435,0.000018653396,0.0000075758117,0.000030325275,0.00003409751,0.000034956047],"domain_scores_gemma":[0.9991358,0.00028032248,0.00030312603,0.000023199678,0.00012586093,0.00013164098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039077387,0.0002529942,0.00021279116,0.0015905753,0.000657617,0.0034939493,0.00016936667,0.00073392,0.0067861257],"category_scores_gemma":[0.0027202673,0.00007795462,0.00014198734,0.004058127,0.0015699406,0.003840493,0.0011513304,0.0011621503,0.00048799737],"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":[0.00027849854,0.00005816516,0.08345855,0.0005005682,0.00007820852,0.0010782205,0.0027381452,0.006141872,0.0006322352,0.7352227,0.02118322,0.14862959],"study_design_scores_gemma":[0.000031607695,0.00008215098,0.22455497,0.00079701527,0.00006930861,0.0009614522,0.006283837,0.005081949,0.000529482,0.46462348,0.29691812,0.00006655004],"about_ca_topic_score_codex":0.006894243,"about_ca_topic_score_gemma":0.00989776,"teacher_disagreement_score":0.006894243,"about_ca_system_score_codex":0.0017958721,"about_ca_system_score_gemma":0.0005268749,"threshold_uncertainty_score":0.02270192},"labels":[],"label_agreement":null},{"id":"W2908256415","doi":"10.1162/inov_a_00272","title":"The Third Answer: How Market-Creating Innovation Drives Economic Growth and Development","year":2018,"lang":"en","type":"article","venue":"Innovations Technology Governance Globalization","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kensington Health","funders":"","keywords":"Business; Market development; Industrial organization; Economics; Market economy; Economic system","score_opus":0.012533595739788163,"score_gpt":0.21063833222785242,"score_spread":0.19810473648806426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908256415","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017311003,0.0077822553,0.03225395,0.78380966,0.0044520684,0.000049314927,0.00036764942,0.00020167412,0.15377246],"genre_scores_gemma":[0.8245387,0.01694746,0.023070633,0.070847064,0.0071552936,0.00030736226,0.00024658066,0.00016275,0.056724086],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985858,0.0004660414,0.00005539635,0.0003502939,0.00032590955,0.00021660334],"domain_scores_gemma":[0.9954281,0.0024089036,0.00073977484,0.00041588396,0.0006025482,0.00040478524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033751605,0.00047031644,0.00054530264,0.0009877646,0.0018995374,0.007712718,0.0016092698,0.0069137774,0.013018455],"category_scores_gemma":[0.009420494,0.00020309498,0.0006789254,0.0010334132,0.017043049,0.01418079,0.0032089576,0.0052320943,0.0022649555],"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":[0.0000116827905,0.00001754303,0.0008004143,0.00006801815,0.000007640134,0.00003597242,0.00064388744,0.0003288042,0.00010647009,0.97822374,0.013375654,0.00638027],"study_design_scores_gemma":[0.00001474175,0.000025192387,0.0011283023,0.00015943428,0.000008864916,0.00007964855,0.001463589,0.0010369112,0.00022969134,0.91820884,0.077625126,0.000019625182],"about_ca_topic_score_codex":0.0018719889,"about_ca_topic_score_gemma":0.0013066449,"teacher_disagreement_score":0.013018455,"about_ca_system_score_codex":0.002502261,"about_ca_system_score_gemma":0.003416638,"threshold_uncertainty_score":0.043551087},"labels":[],"label_agreement":null},{"id":"W2908633337","doi":"10.5539/ijef.v11n2p111","title":"How Emerging Markets Are Reshaping Globalization","year":2019,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Globalization; China; Emerging markets; Competition (biology); Relocation; Economics; Market economy; Business; Finance; Political science; Law","score_opus":0.019776649395900132,"score_gpt":0.20875760947326524,"score_spread":0.18898096007736512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908633337","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":[0.05948931,0.03450722,0.008831568,0.39453003,0.006750308,0.000060149803,0.00034234938,0.0002532114,0.49523586],"genre_scores_gemma":[0.8464849,0.038199488,0.0030704301,0.046040744,0.0046293787,0.00010480381,0.00016308113,0.00027022438,0.061036903],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99833953,0.0006183912,0.00004135625,0.00018728078,0.00036686158,0.00044659333],"domain_scores_gemma":[0.9981207,0.00050006725,0.0002597539,0.00027136953,0.00035855747,0.0004895107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002852982,0.00040679253,0.00036841663,0.001036104,0.0035003189,0.012286716,0.00077706086,0.0038340145,0.016750395],"category_scores_gemma":[0.005245548,0.00020776382,0.0004769378,0.0014446493,0.009935433,0.01889748,0.0049293283,0.0042749536,0.0020493008],"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":[0.000023121875,0.00002478974,0.0015356239,0.00009277541,0.000017313358,0.00043792542,0.0073285676,0.0005020646,0.00021548024,0.9115295,0.049829196,0.028463697],"study_design_scores_gemma":[0.000012308539,0.000018143126,0.0017769384,0.00021116916,0.0000071522745,0.00019328544,0.011886029,0.00024714877,0.00011147674,0.40239725,0.5831177,0.000021366192],"about_ca_topic_score_codex":0.003514595,"about_ca_topic_score_gemma":0.0034132134,"teacher_disagreement_score":0.016750395,"about_ca_system_score_codex":0.0026340468,"about_ca_system_score_gemma":0.0025947357,"threshold_uncertainty_score":0.056035638},"labels":[],"label_agreement":null},{"id":"W2910036584","doi":"10.1453/jel.v5i4.1782","title":"The future of economic growth in the World’s largest economies","year":2018,"lang":"en","type":"article","venue":"KSP Journals - Journal of Economics Bibliography","topic":"Economic Growth and Productivity","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":"China; Sustainable growth rate; Economics; Economic expansion; Development economics; Russian federation; Economy; Geography; Economic policy; Macroeconomics","score_opus":0.028862719763103614,"score_gpt":0.24704211607622645,"score_spread":0.21817939631312283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910036584","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":[0.21782225,0.10348915,0.0677897,0.042603526,0.0021909066,0.000056567085,0.0034615756,0.00050638587,0.5620799],"genre_scores_gemma":[0.8909782,0.065034874,0.018231701,0.00036763275,0.00034207714,0.000060241528,0.0010605148,0.000058243833,0.023866417],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998056,0.000046915695,0.000009643305,0.000036638576,0.00006773362,0.000033506152],"domain_scores_gemma":[0.9995976,0.0001639417,0.00005306372,0.000026934733,0.00012669375,0.000031847812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005866921,0.00031158363,0.00018266926,0.0010852504,0.0006784306,0.0024078772,0.00028204374,0.00056079176,0.0028922574],"category_scores_gemma":[0.0021368158,0.00010439087,0.00025467743,0.0017500786,0.00075447717,0.0027809355,0.00063182035,0.000961544,0.00071073],"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":[0.000044197906,0.000020682688,0.010321172,0.00041033683,0.000023238787,0.0003394195,0.0009397399,0.023959009,0.0009851367,0.7548047,0.024061648,0.18409075],"study_design_scores_gemma":[0.0000075331336,0.00005788816,0.017954981,0.00079001737,0.00003193329,0.00046656322,0.0015360722,0.025957806,0.00079120306,0.680752,0.2716007,0.000053329786],"about_ca_topic_score_codex":0.0053194766,"about_ca_topic_score_gemma":0.0029882297,"teacher_disagreement_score":0.0053194766,"about_ca_system_score_codex":0.0013916164,"about_ca_system_score_gemma":0.001419831,"threshold_uncertainty_score":0.010577023},"labels":[],"label_agreement":null},{"id":"W2910910940","doi":"10.23762/fso_vol6no2_18_4","title":"High-technology exports and economic growth: panel data analysis for selected OECD countriesHigh-technology exports and economic growth: panel data analysis for selected OECD countries","year":2018,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":22,"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":"Panel data; Panel analysis; Economics; International trade; International economics; Econometrics","score_opus":0.223635877196413,"score_gpt":0.42440129716528785,"score_spread":0.20076541996887484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910910940","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":[0.94386226,0.00062945776,0.0017047564,0.0002530294,0.000033554003,0.000051152132,0.04978869,0.00007495387,0.0036021026],"genre_scores_gemma":[0.8897761,0.0006987059,0.0014451203,0.00011861681,0.00003530721,0.00018219864,0.10475388,0.000025365674,0.0029647178],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994911,0.00015694147,0.00004358024,0.000090724956,0.00007114519,0.00014652261],"domain_scores_gemma":[0.99789655,0.0007711517,0.0006200391,0.00019604436,0.00035692108,0.00015929907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010182075,0.00042530423,0.0005720709,0.0018387125,0.0003781877,0.001011978,0.00030970832,0.00037724985,0.0035431113],"category_scores_gemma":[0.0018467868,0.00021783874,0.0016708801,0.0037475936,0.00020016209,0.00040855244,0.0006269962,0.0007270063,0.0007370225],"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":[0.00026902533,0.00019702145,0.9563112,0.00009290832,0.0010759039,0.0005131514,0.00018324479,0.019345803,0.0003093393,0.00072273216,0.012377957,0.008601818],"study_design_scores_gemma":[0.000036164725,0.00007545547,0.9823415,0.00004381227,0.0003035906,0.00011094821,0.0007232497,0.007946656,0.00044024686,0.00025158154,0.007697767,0.000029094168],"about_ca_topic_score_codex":0.059529092,"about_ca_topic_score_gemma":0.041200005,"teacher_disagreement_score":0.059529092,"about_ca_system_score_codex":0.00066181883,"about_ca_system_score_gemma":0.0007885687,"threshold_uncertainty_score":0.11836517},"labels":[],"label_agreement":null},{"id":"W2911228714","doi":"10.1093/scipol/scz042","title":"Sources of knowledge flow between developed and developing nations","year":2019,"lang":"en","type":"article","venue":"Science and Public Policy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"China; Knowledge flow; International trade; Knowledge transfer; Business; East Asia; Technology transfer; Developing country; Economic geography; Geography; Political science; Regional science; Economic growth; Knowledge management; Economics; Computer science","score_opus":0.05863603442553886,"score_gpt":0.2670508038512712,"score_spread":0.20841476942573237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911228714","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":[0.90171707,0.007059732,0.004383768,0.0029177638,0.00004821523,0.000092750204,0.0151024,0.000055991328,0.06862222],"genre_scores_gemma":[0.99326247,0.0018317187,0.0010333855,0.000083676736,0.000026092159,0.00003674233,0.0024512378,0.000008020079,0.0012666546],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980526,0.0006696362,0.00023746538,0.00022238541,0.00053491764,0.00028295128],"domain_scores_gemma":[0.9710137,0.017722977,0.006953085,0.0010532249,0.0026149473,0.0006419749],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0027403894,0.00019859885,0.00037711824,0.0107810935,0.0009704188,0.0041474192,0.00039041103,0.0004940051,0.005858561],"category_scores_gemma":[0.022039535,0.00014969973,0.00024431897,0.01750448,0.00081399496,0.0028631643,0.0024894597,0.00079277746,0.00032456455],"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":[0.00033674383,0.00011499967,0.73711765,0.00076996355,0.00039650747,0.0012451481,0.012526804,0.004987689,0.0010594281,0.09784158,0.0046931026,0.13891043],"study_design_scores_gemma":[0.000048969043,0.00010975927,0.83918387,0.0017043769,0.00028175543,0.0009930801,0.022719985,0.006521309,0.0031538343,0.047935113,0.077227995,0.000119911994],"about_ca_topic_score_codex":0.011230853,"about_ca_topic_score_gemma":0.0052134516,"teacher_disagreement_score":0.9892189,"about_ca_system_score_codex":0.002247149,"about_ca_system_score_gemma":0.0015523909,"threshold_uncertainty_score":0.022331},"labels":[],"label_agreement":null},{"id":"W2911342055","doi":"10.2139/ssrn.1027953","title":"National Bureau of Economic Research Patent Database: Presentation","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","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":"Quest University Canada","funders":"","keywords":"Presentation (obstetrics); Database; Library science; Computer science; Medicine","score_opus":0.15168178552197462,"score_gpt":0.3584658757499805,"score_spread":0.2067840902280059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911342055","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000967206,0.002808113,0.0012719291,0.0036485023,0.0033454,0.0005872292,0.89095986,0.001979511,0.09443222],"genre_scores_gemma":[0.0077124764,0.012584293,0.0033123132,0.0006148819,0.003566432,0.001101012,0.76516956,0.00053986773,0.20539916],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971529,0.00014572426,0.0004953434,0.00039310052,0.0014852425,0.00032765017],"domain_scores_gemma":[0.9836016,0.0023755827,0.0018833556,0.0020108025,0.009204325,0.0009243434],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027521031,0.0019469841,0.0030968618,0.021279212,0.0010737492,0.0052873446,0.0036713697,0.003172633,0.4210507],"category_scores_gemma":[0.02061745,0.000868616,0.0011349947,0.030753825,0.0004772034,0.0036613976,0.00133032,0.0019075286,0.27882236],"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":[0.00009487876,0.00005604679,0.00017316309,0.0005077976,0.000022085516,0.000018816556,0.0000056674876,0.000075954995,0.00013698157,0.001628185,0.9789298,0.018350517],"study_design_scores_gemma":[0.00043865413,0.00010248754,0.008538719,0.00043863486,0.0001542534,0.00010336882,0.000022964748,0.00047275532,0.0009532381,0.0046948446,0.98402977,0.000050222323],"about_ca_topic_score_codex":0.011453416,"about_ca_topic_score_gemma":0.010352053,"teacher_disagreement_score":0.4210507,"about_ca_system_score_codex":0.002169612,"about_ca_system_score_gemma":0.009352254,"threshold_uncertainty_score":0.8258009},"labels":[],"label_agreement":null},{"id":"W2912774822","doi":"10.1111/roie.12386","title":"Skills, population aging, and the pattern of international trade","year":2019,"lang":"en","type":"article","venue":"Review of International Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Comparative advantage; Adaptability; Population ageing; Economics; Panel data; Population; Test (biology); Cognitive skill; Demographic economics; Labour economics; Cognition; Psychology; International trade; Econometrics; Biology; Demography; Sociology","score_opus":0.011763569234205216,"score_gpt":0.22466132225961874,"score_spread":0.21289775302541353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912774822","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":[0.9727156,0.010666937,0.0013332793,0.0018609109,0.00007387604,0.000008728453,0.0036210383,0.000022448197,0.00969709],"genre_scores_gemma":[0.995533,0.0021784394,0.0001478209,0.00008279485,0.000056776298,0.0000043908717,0.001198481,0.0000034308605,0.000794939],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977475,0.000053726802,0.000023517927,0.00006890295,0.000036241945,0.00004295493],"domain_scores_gemma":[0.9963875,0.0007353744,0.0021125197,0.0001752397,0.0003192979,0.00027017074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079589186,0.00013671097,0.00021854753,0.0016109347,0.00020807327,0.001005722,0.00020966807,0.00028388662,0.0043160464],"category_scores_gemma":[0.0029825552,0.000072662566,0.00025596298,0.0032130766,0.0004135999,0.00070275686,0.00043269523,0.00048219226,0.000521932],"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":[0.00006422831,0.000032940075,0.97015095,0.000086305015,0.00023018908,0.0001446963,0.00028173244,0.0014732087,0.00021251765,0.0054457155,0.0028614074,0.019016186],"study_design_scores_gemma":[0.000004964028,0.000031897176,0.98778254,0.00006880946,0.000060621718,0.00011422928,0.0005664521,0.001465495,0.00012675805,0.0045434153,0.0052268514,0.0000080367845],"about_ca_topic_score_codex":0.0050125956,"about_ca_topic_score_gemma":0.0050024292,"teacher_disagreement_score":0.0050125956,"about_ca_system_score_codex":0.00027725063,"about_ca_system_score_gemma":0.00018144076,"threshold_uncertainty_score":0.01443857},"labels":[],"label_agreement":null},{"id":"W2912996341","doi":"10.5539/ass.v15n2p37","title":"Economic Growth and Demographic Dividend Nexus in Nigeria: A Vector Autoregressive (VAR) Approach","year":2019,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Credence; Demographic dividend; Nexus (standard); Dividend; Economics; Population; Context (archaeology); Productivity; Dividend policy; Macroeconomics; Econometrics; Geography; Statistics; Sociology; Demography; Mathematics","score_opus":0.013517110922057362,"score_gpt":0.2117486383664089,"score_spread":0.19823152744435152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912996341","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":[0.94538754,0.0028091918,0.040907577,0.0024131474,0.00016300577,0.000040446732,0.0004750783,0.00005913488,0.007745011],"genre_scores_gemma":[0.9938123,0.0014677097,0.0022687402,0.000048538943,0.000052042713,0.000018552793,0.00017225955,0.0000073120605,0.002152455],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972993,0.000110005516,0.000015807043,0.000061252285,0.000032336568,0.00005070879],"domain_scores_gemma":[0.999025,0.00069527206,0.00014562976,0.000025795649,0.00006642056,0.00004185091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009977891,0.0003698159,0.00048122177,0.0010131525,0.00035669137,0.0017308902,0.0003890874,0.00064984435,0.0016515142],"category_scores_gemma":[0.0018949836,0.00023164488,0.00058505154,0.0009625752,0.0005149728,0.0010098144,0.0007715818,0.0012806095,0.00014014482],"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":[0.00024066489,0.00028244813,0.3762544,0.000264358,0.0004495209,0.0028973515,0.001355417,0.33636725,0.0018236928,0.23161152,0.0029305317,0.04552283],"study_design_scores_gemma":[0.000013547753,0.00011682441,0.05051104,0.00013463525,0.00015738745,0.00020174574,0.0012497809,0.90946877,0.00046267168,0.033559702,0.004075674,0.000048113936],"about_ca_topic_score_codex":0.015597778,"about_ca_topic_score_gemma":0.011879707,"teacher_disagreement_score":0.015597778,"about_ca_system_score_codex":0.0007507481,"about_ca_system_score_gemma":0.0009594699,"threshold_uncertainty_score":0.031014025},"labels":[],"label_agreement":null},{"id":"W2913696399","doi":"10.33107/ubt-ic.2015.34","title":"Estimating quarter to quarter economic growth in Kosovo","year":2015,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Seasonal adjustment; Quarter (Canadian coin); Estimation; Economics; Production (economics); Seasonality; Gross domestic product; Real gross domestic product; Econometrics; Point (geometry); Economic indicator; Business cycle; Macroeconomics; Geography; Statistics; Mathematics; Variable (mathematics)","score_opus":0.03831203008757945,"score_gpt":0.22677074742044157,"score_spread":0.18845871733286212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913696399","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":[0.9843944,0.00048894074,0.004999221,0.00015368316,0.00004661057,0.000017351213,0.0070578856,0.00014761688,0.0026943325],"genre_scores_gemma":[0.9890576,0.00028775568,0.002199244,0.000013366837,0.0000134735765,0.000023258104,0.0077328947,0.00002352311,0.0006488349],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997701,0.000063470136,0.000018911214,0.000050950835,0.00004028702,0.000056189507],"domain_scores_gemma":[0.9994024,0.00020619179,0.00014671794,0.000050074563,0.00014104962,0.00005355739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085428613,0.00023890656,0.00031351243,0.0017578831,0.00017596943,0.0007069181,0.00022608337,0.00023630474,0.0012309157],"category_scores_gemma":[0.002541019,0.0001494027,0.0003846553,0.0016993905,0.00015359344,0.00051768875,0.0004076938,0.00036640614,0.0002874254],"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":[0.00047540455,0.000094757386,0.77709144,0.00015861553,0.00020951653,0.000591141,0.00065521855,0.11069449,0.0016685996,0.003002988,0.009813972,0.09554386],"study_design_scores_gemma":[0.000010778387,0.000079333884,0.8044747,0.000041594136,0.00003338685,0.0001399614,0.0010339859,0.18341072,0.001246977,0.0020402744,0.007464302,0.000023890603],"about_ca_topic_score_codex":0.031810176,"about_ca_topic_score_gemma":0.015590758,"teacher_disagreement_score":0.031810176,"about_ca_system_score_codex":0.000657979,"about_ca_system_score_gemma":0.00039658122,"threshold_uncertainty_score":0.063250005},"labels":[],"label_agreement":null},{"id":"W2914517299","doi":"10.4000/interventionseconomiques.5397","title":"La zone Franc entrave-t-elle la transformation structurelle des économies des pays membres ?","year":2019,"lang":"fr","type":"article","venue":"Interventions économiques","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Geography; Art","score_opus":0.03897049611474126,"score_gpt":0.24701340052475976,"score_spread":0.2080429044100185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914517299","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":[0.9518611,0.0023610033,0.0011188501,0.001719242,0.00003979315,0.000035481848,0.0006489475,0.000018659373,0.04219695],"genre_scores_gemma":[0.99246323,0.0009375497,0.000393266,0.000116662246,0.000009199073,0.000014074883,0.00015924624,0.0000067595565,0.0058999415],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991904,0.00018487488,0.000030667223,0.00012687713,0.00016316645,0.00030406448],"domain_scores_gemma":[0.9990067,0.00018646712,0.00031405993,0.00007646919,0.00027330327,0.00014306341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009705501,0.0002448187,0.00019680428,0.0010639805,0.0009874635,0.0032746007,0.00034938412,0.0004053815,0.008000587],"category_scores_gemma":[0.0014819814,0.00014808874,0.00035328802,0.002208352,0.00086888584,0.0014184295,0.001210487,0.00050947495,0.0006637963],"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":[0.00047322156,0.00012725733,0.77062285,0.0005346703,0.00034148904,0.0022572007,0.030154401,0.0019299128,0.007660643,0.053193938,0.0033788595,0.12932558],"study_design_scores_gemma":[0.000011521502,0.000101698286,0.8962254,0.00025401896,0.00006488065,0.00047928977,0.02957521,0.0005056321,0.0009037709,0.002248527,0.06960252,0.000027552538],"about_ca_topic_score_codex":0.12672451,"about_ca_topic_score_gemma":0.16713125,"teacher_disagreement_score":0.12672451,"about_ca_system_score_codex":0.0028665618,"about_ca_system_score_gemma":0.0027114216,"threshold_uncertainty_score":0.2519738},"labels":[],"label_agreement":null},{"id":"W2915982800","doi":"10.17016/bulletin.2007.93-5-2","title":"Industrial Production and Capacity Utilization: The 2006 Annual Revision","year":2007,"lang":"en","type":"article","venue":"Federal Reserve Bulletin","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":12,"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":"Industrial production index; Quarter (Canadian coin); Production (economics); Industrial production; Index (typography); Capacity utilization; Agricultural economics; Economics; Geography; Computer science; Macroeconomics","score_opus":0.1031805757122549,"score_gpt":0.2489008508710107,"score_spread":0.1457202751587558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915982800","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018183028,0.030216975,0.01175992,0.024030656,0.042008467,0.0010896244,0.60165375,0.0027416535,0.26831588],"genre_scores_gemma":[0.11065064,0.0496011,0.019567054,0.0060560573,0.01385575,0.002037436,0.5572344,0.001683128,0.23931444],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99289554,0.0007414154,0.0011203497,0.0004892355,0.0042459555,0.0005075452],"domain_scores_gemma":[0.95385534,0.0018407048,0.0028035378,0.0021764971,0.038505655,0.0008183353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052790777,0.0016772912,0.00085380435,0.010629905,0.00094776123,0.0045414506,0.0019424775,0.0016499159,0.01798413],"category_scores_gemma":[0.02448677,0.0007412403,0.0010248583,0.011875727,0.00068063254,0.002783518,0.0014703745,0.0032610062,0.019680198],"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":[0.00007924663,0.000042803145,0.0032846348,0.00035241878,0.000021222057,0.000055948512,0.00010226251,0.0007596733,0.00011329224,0.0037210472,0.9441373,0.0473301],"study_design_scores_gemma":[0.000010133575,0.000015983029,0.013665399,0.00035541595,0.000013431978,0.00006354273,0.000093812494,0.00022647514,0.00020494225,0.0007797239,0.9845419,0.000029219187],"about_ca_topic_score_codex":0.059824996,"about_ca_topic_score_gemma":0.032471705,"teacher_disagreement_score":0.059824996,"about_ca_system_score_codex":0.0039323,"about_ca_system_score_gemma":0.008600934,"threshold_uncertainty_score":0.118953586},"labels":[],"label_agreement":null},{"id":"W2916561158","doi":"10.34989/swp-2019-2","title":"The Productivity Slowdown in Canada: An ICT Phenomenon?","year":2021,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Slowdown; Phenomenon; Productivity; Information and Communications Technology; Economic geography; Economics; Business; Political science; Economic growth; Physics","score_opus":0.019021188207344178,"score_gpt":0.19361442257134898,"score_spread":0.1745932343640048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916561158","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":[0.75005037,0.011383798,0.00329669,0.116308436,0.00043219337,0.00015013419,0.02486776,0.00039388653,0.09311669],"genre_scores_gemma":[0.9792119,0.0050725364,0.0009387313,0.0026076504,0.00012392784,0.000031656597,0.0025718086,0.00005845256,0.009383147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997912,0.000083614985,0.00006819486,0.00021421017,0.0006717471,0.0010502492],"domain_scores_gemma":[0.99200386,0.0011523435,0.0015486014,0.00035154275,0.0038501942,0.0010934642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017309075,0.00053780177,0.0007397005,0.0037358014,0.0048818276,0.005232757,0.0012207278,0.0011908981,0.0063113496],"category_scores_gemma":[0.0115435375,0.00021645571,0.00077331084,0.011903284,0.0023529462,0.0018547325,0.0019451828,0.0020388328,0.0005164195],"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":[0.00041699034,0.0001183587,0.68686104,0.0008820814,0.00030860864,0.0021523316,0.009822168,0.008016804,0.0019255748,0.0926646,0.058262452,0.13856892],"study_design_scores_gemma":[0.00005602529,0.000055071756,0.87841594,0.0005329037,0.0001820118,0.0002270262,0.007932451,0.00575952,0.0017177294,0.00848989,0.09650918,0.00012218682],"about_ca_topic_score_codex":0.9961176,"about_ca_topic_score_gemma":0.99528,"teacher_disagreement_score":0.06957884,"about_ca_system_score_codex":0.06957884,"about_ca_system_score_gemma":0.11127037,"threshold_uncertainty_score":0.50483215},"labels":[],"label_agreement":null},{"id":"W2916960253","doi":"","title":"Survey of Inflation Expectations: Results Report 3rd Quarter 2009","year":2009,"lang":"en","type":"article","venue":"SUNScholar (Stellenbosch University)","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Inflation (cosmology); Economics; Geography","score_opus":0.034692658349903774,"score_gpt":0.20953560705049237,"score_spread":0.17484294870058859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916960253","genre_codex":"dataset","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":[0.15354562,0.0014073336,0.0011562353,0.0009583098,0.00015394037,0.00026744363,0.8273759,0.0004877508,0.014647387],"genre_scores_gemma":[0.28327188,0.0023825741,0.0019640168,0.0005299393,0.00018801368,0.0007349904,0.6929724,0.00026816665,0.017687991],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988438,0.00019279636,0.0002357453,0.00014012396,0.00045342656,0.00013412048],"domain_scores_gemma":[0.9927787,0.0008195713,0.0021632153,0.00056473963,0.0032479686,0.00042584864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023546696,0.00047281565,0.0005965775,0.0022888975,0.0002617118,0.0006507945,0.00051577133,0.0004957119,0.0048270663],"category_scores_gemma":[0.0057936343,0.0003938308,0.000561441,0.003508286,0.00008572995,0.00060389435,0.00076972414,0.00067044416,0.014314898],"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":[0.0007679207,0.00022517287,0.58683425,0.00037480437,0.00014510052,0.00005114125,0.00036777378,0.0005484621,0.00043432525,0.0003422446,0.3626008,0.04730804],"study_design_scores_gemma":[0.000031921612,0.00006776599,0.97127366,0.00006122287,0.00002952954,0.000053185013,0.00010463431,0.00021670439,0.00025843506,0.00003870082,0.027851049,0.000013176749],"about_ca_topic_score_codex":0.026351064,"about_ca_topic_score_gemma":0.023821786,"teacher_disagreement_score":0.026351064,"about_ca_system_score_codex":0.00067938113,"about_ca_system_score_gemma":0.00077020476,"threshold_uncertainty_score":0.052395344},"labels":[],"label_agreement":null},{"id":"W2917054169","doi":"","title":"Dealing with the Leftovers: Residual Seasonality in GDP","year":2018,"lang":"en","type":"article","venue":"The Regional Economist","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gross domestic product; Residual; Seasonality; Economics; Quarter (Canadian coin); Recession; Real gross domestic product; Product (mathematics); Econometrics; Monetary economics; Agricultural economics; Macroeconomics; Statistics; Geography; Mathematics","score_opus":0.051281865330844535,"score_gpt":0.21981437165296996,"score_spread":0.16853250632212544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917054169","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":[0.7978716,0.0041420315,0.12477534,0.04067196,0.0011777406,0.00010794253,0.006631581,0.0007076445,0.023914207],"genre_scores_gemma":[0.98606235,0.0007465898,0.0064320397,0.001103904,0.0005637474,0.000024215151,0.0015415807,0.00014329085,0.0033823606],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982058,0.0004540943,0.00018838287,0.00055627455,0.00029848586,0.00029700843],"domain_scores_gemma":[0.98214036,0.0074265474,0.0064904764,0.0019089855,0.0014200894,0.000613593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004661269,0.00031370317,0.00069669867,0.0010347625,0.00047895676,0.0017394852,0.0007436412,0.00088667934,0.0031277612],"category_scores_gemma":[0.033998672,0.0002669753,0.00048544197,0.0021090996,0.00077762123,0.002334123,0.00090119644,0.0024215647,0.0004923294],"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":[0.00042050966,0.000107200256,0.64031136,0.00041623213,0.0005726061,0.0023045929,0.0026147754,0.021532327,0.0021865473,0.044609986,0.050699744,0.23422407],"study_design_scores_gemma":[0.000045858505,0.00023799101,0.5568819,0.00047841153,0.00034727692,0.0011483296,0.0048002736,0.15848243,0.005302449,0.20233211,0.06979755,0.00014540498],"about_ca_topic_score_codex":0.026874263,"about_ca_topic_score_gemma":0.025099207,"teacher_disagreement_score":0.026874263,"about_ca_system_score_codex":0.0007598718,"about_ca_system_score_gemma":0.0010950591,"threshold_uncertainty_score":0.053435683},"labels":[],"label_agreement":null},{"id":"W2917309289","doi":"10.17016/bulletin.2001.87-3-2","title":"Industrial Production and Capacity Utilization: The 2000 Annual Revision","year":2001,"lang":"en","type":"article","venue":"Federal Reserve Bulletin","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":12,"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":"Industrial production index; Capacity utilization; Production (economics); Industrial production; Quarter (Canadian coin); Index (typography); Agricultural economics; Annual growth %; Operations management; Statistics; Environmental science; Economics; Mathematics; Computer science; Geography","score_opus":0.11641154165320347,"score_gpt":0.24309831040480462,"score_spread":0.12668676875160115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917309289","genre_codex":"dataset","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":[0.030065924,0.039803054,0.016797064,0.025862338,0.034243558,0.001364652,0.5271808,0.003711037,0.32097164],"genre_scores_gemma":[0.16458988,0.05773209,0.021491963,0.005563394,0.011460764,0.003074536,0.51079315,0.0018485952,0.22344567],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9935074,0.0005708174,0.00094708713,0.0004800552,0.0039917347,0.0005029031],"domain_scores_gemma":[0.9588167,0.0016079168,0.0031127324,0.0018183345,0.03370547,0.000938848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054794694,0.0020900439,0.00080132915,0.014347883,0.00081300933,0.004579997,0.0023510577,0.0015459917,0.012629378],"category_scores_gemma":[0.02676622,0.0008126175,0.0008638913,0.01493592,0.00074695126,0.0035943093,0.0016983763,0.0029301806,0.011990579],"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":[0.00009535372,0.000070311646,0.006161266,0.0004116412,0.00002866185,0.00006523516,0.00016268782,0.001030617,0.00013651108,0.006327028,0.90003675,0.08547402],"study_design_scores_gemma":[0.000012500828,0.000023697534,0.02246311,0.0004617282,0.000019104455,0.00008646606,0.00013194024,0.00035241083,0.00024280252,0.0011895805,0.9749841,0.000032610442],"about_ca_topic_score_codex":0.05725899,"about_ca_topic_score_gemma":0.024561904,"teacher_disagreement_score":0.05725899,"about_ca_system_score_codex":0.0042498503,"about_ca_system_score_gemma":0.007813023,"threshold_uncertainty_score":0.11385143},"labels":[],"label_agreement":null},{"id":"W2917328348","doi":"10.17016/bulletin.2005.91-1-2","title":"Industrial Production and Capacity Utilization: The 2004 Annual Revision","year":2005,"lang":"en","type":"article","venue":"Federal Reserve Bulletin","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Industrial production index; Capacity utilization; Quarter (Canadian coin); Production (economics); Percentage point; Industrial production; Index (typography); Agricultural economics; Statistics; Economics; Mathematics; Geography; Computer science","score_opus":0.1017090779035617,"score_gpt":0.24223245699094104,"score_spread":0.14052337908737933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917328348","genre_codex":"dataset","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":[0.06693663,0.048525505,0.021317292,0.032232713,0.049835347,0.0017677177,0.40921465,0.005854474,0.36431563],"genre_scores_gemma":[0.3072758,0.054827318,0.029812891,0.006719795,0.013969409,0.002609347,0.33490643,0.001753965,0.24812494],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99060106,0.0009113984,0.0014523105,0.0006637834,0.0057070334,0.00066443835],"domain_scores_gemma":[0.9320426,0.002930783,0.005057086,0.003407766,0.05557569,0.0009860675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063546193,0.0018045685,0.0008638173,0.013447466,0.001043297,0.004234649,0.0029509498,0.0016988784,0.0072472407],"category_scores_gemma":[0.030515995,0.0010085381,0.0011309227,0.01332281,0.0008044768,0.0028491442,0.0014861228,0.0027424528,0.0065708947],"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":[0.0001837004,0.00012467151,0.014248379,0.00084232487,0.000056223926,0.00016501397,0.00030191676,0.0023458672,0.00047917455,0.0052336412,0.8679836,0.10803545],"study_design_scores_gemma":[0.000015329062,0.000047483576,0.041739024,0.00047219158,0.000031442756,0.0001341177,0.0001810778,0.00060018996,0.00068369537,0.0005748755,0.95547074,0.00004978733],"about_ca_topic_score_codex":0.09256379,"about_ca_topic_score_gemma":0.042054903,"teacher_disagreement_score":0.09256379,"about_ca_system_score_codex":0.0053290627,"about_ca_system_score_gemma":0.009421343,"threshold_uncertainty_score":0.18405002},"labels":[],"label_agreement":null},{"id":"W2917734997","doi":"10.17016/bulletin.2004.90-1-3","title":"Industrial Production and Capacity Utilization: The 2003 Annual Revision","year":2004,"lang":"en","type":"article","venue":"Federal Reserve Bulletin","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Trough (economics); Industrial production index; Quarter (Canadian coin); Recession; Capacity utilization; Percentage point; Production (economics); Index (typography); Agricultural economics; Operations management; Statistics; Economics; Mathematics; Geography; Macroeconomics; Computer science","score_opus":0.10325454627099655,"score_gpt":0.23882915030110735,"score_spread":0.1355746040301108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917734997","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053814866,0.037370972,0.020066284,0.035394058,0.049651623,0.0016021153,0.4987437,0.0061200806,0.2972363],"genre_scores_gemma":[0.2815274,0.046161287,0.027236495,0.00919486,0.014735357,0.0032430585,0.41649526,0.0025432808,0.19886297],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9899273,0.0009397193,0.001979351,0.0006895646,0.0057651754,0.00069886574],"domain_scores_gemma":[0.93477666,0.0030573683,0.0061265975,0.003454701,0.05154732,0.0010373617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070577646,0.0018010323,0.0009839404,0.010561002,0.0009081146,0.00484848,0.0026515182,0.0017300071,0.0071886163],"category_scores_gemma":[0.033482295,0.0009245269,0.001144257,0.013037837,0.0008127178,0.0026524186,0.0015810716,0.003321386,0.00902633],"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":[0.0001742492,0.00009695646,0.013383609,0.00065019313,0.00004924862,0.00014985836,0.00028181664,0.0014999569,0.00036234196,0.004627078,0.89792967,0.08079495],"study_design_scores_gemma":[0.000021345797,0.00003916467,0.048173018,0.0005257395,0.000032505366,0.00013802777,0.00020337588,0.0005906875,0.0006276273,0.00080659025,0.948786,0.000055868764],"about_ca_topic_score_codex":0.111404,"about_ca_topic_score_gemma":0.050743397,"teacher_disagreement_score":0.111404,"about_ca_system_score_codex":0.005052478,"about_ca_system_score_gemma":0.010047847,"threshold_uncertainty_score":0.22151113},"labels":[],"label_agreement":null},{"id":"W2919196872","doi":"","title":"Panel: Localized Economic Development: Theory and Practice","year":2017,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Computer science; Economics","score_opus":0.06506371761729539,"score_gpt":0.25727142898125377,"score_spread":0.19220771136395837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919196872","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027511774,0.024990642,0.085374236,0.18042831,0.0036360226,0.0004912035,0.027188275,0.0019156685,0.6484639],"genre_scores_gemma":[0.5694698,0.037310798,0.031526476,0.011502146,0.0049071256,0.0015377317,0.020960161,0.0010097914,0.321776],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99898,0.0005502798,0.00003771734,0.00018797907,0.00013180083,0.000112140326],"domain_scores_gemma":[0.99245983,0.0039068665,0.00047094602,0.0009527162,0.0014167253,0.0007928452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004059056,0.00030481463,0.0005222492,0.0018802127,0.0010815442,0.0029191165,0.0008164712,0.0013800438,0.07310631],"category_scores_gemma":[0.012181079,0.00023329104,0.00029517908,0.0069291657,0.0013038886,0.002209281,0.0018763819,0.0015289962,0.0131008],"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":[0.0000668399,0.000047039273,0.005550169,0.000324549,0.000017014836,0.00003747509,0.0004911787,0.0018770501,0.00011244645,0.09191146,0.7727913,0.12677346],"study_design_scores_gemma":[0.000069587164,0.000037592847,0.02313516,0.0008246719,0.000041127794,0.000055169487,0.0016642221,0.0045995056,0.0003613309,0.0677067,0.901472,0.000032983382],"about_ca_topic_score_codex":0.009890393,"about_ca_topic_score_gemma":0.015392981,"teacher_disagreement_score":0.07310631,"about_ca_system_score_codex":0.0019719154,"about_ca_system_score_gemma":0.0026454006,"threshold_uncertainty_score":0.24456501},"labels":[],"label_agreement":null},{"id":"W2920605242","doi":"10.1007/s10490-019-09648-2","title":"Economic growth, innovation, institutions, and the Great Enrichment","year":2019,"lang":"en","type":"article","venue":"Asia Pacific Journal of Management","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":157,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Productivity; Venture capital; Consumption (sociology); Yield (engineering); Economics; Economic geography; International trade; Economy; Business; Economic growth; Finance","score_opus":0.018345718649735512,"score_gpt":0.2075407880883761,"score_spread":0.18919506943864056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920605242","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":[0.69161046,0.016688202,0.0018875956,0.0564612,0.00019648702,0.000017348315,0.0002554214,0.000066745735,0.2328166],"genre_scores_gemma":[0.99440336,0.0016360527,0.00015774557,0.00040894985,0.000079991965,0.0000032597668,0.00001890036,0.0000028978204,0.0032888884],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99977416,0.00006084378,0.000008996,0.0000320734,0.00004236294,0.00008167609],"domain_scores_gemma":[0.99862134,0.0004987448,0.00028944656,0.00011304405,0.0001381288,0.00033941027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086970045,0.00012093921,0.00027158385,0.0006557457,0.00094396225,0.0022485629,0.00021950483,0.00066468195,0.0040724133],"category_scores_gemma":[0.0025854718,0.00005415167,0.00013107479,0.0012599454,0.0046253013,0.0018189204,0.0018414134,0.0009212255,0.00015313571],"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":[0.00027803826,0.000090738344,0.042060316,0.00015083843,0.000059921105,0.00039664286,0.0016287881,0.0019379763,0.00044037923,0.87498903,0.008275795,0.06969144],"study_design_scores_gemma":[0.00007175743,0.000094482166,0.12740703,0.00018568207,0.000070423754,0.0003916961,0.0039411504,0.001612118,0.00067128456,0.77814597,0.08738365,0.00002466511],"about_ca_topic_score_codex":0.004033719,"about_ca_topic_score_gemma":0.007132587,"teacher_disagreement_score":0.0040724133,"about_ca_system_score_codex":0.0016066771,"about_ca_system_score_gemma":0.0016059331,"threshold_uncertainty_score":0.013623655},"labels":[],"label_agreement":null},{"id":"W2920870303","doi":"10.34989/san-2017-3","title":"Assessing Global Potential Output Growth","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Potential output; Economics; Environmental science; Natural resource economics; Econometrics; Macroeconomics; Monetary policy","score_opus":0.047077083040953295,"score_gpt":0.2666248243598531,"score_spread":0.2195477413188998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920870303","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":[0.31161824,0.010568993,0.05853053,0.010351266,0.0016746025,0.00025884414,0.13364302,0.0016015692,0.471753],"genre_scores_gemma":[0.88441086,0.009162114,0.014839383,0.00063613383,0.0003628159,0.00039790268,0.069239646,0.00052468455,0.020426407],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917126,0.000119053024,0.000048812035,0.00012830443,0.00042011988,0.000112521455],"domain_scores_gemma":[0.9969392,0.0005694807,0.00043518477,0.00017195656,0.0017124974,0.00017168913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018853194,0.0009898688,0.00038828497,0.004482538,0.00032116575,0.0023947787,0.0005611414,0.00049818226,0.0067322366],"category_scores_gemma":[0.0068676434,0.0001821294,0.0010284416,0.006356245,0.00044942272,0.0040996526,0.0022252377,0.00088166795,0.0028123949],"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":[0.00032866388,0.0000964266,0.26448104,0.0017511898,0.00056783535,0.0008456938,0.0013338571,0.117211945,0.0020353172,0.1260405,0.13890553,0.346402],"study_design_scores_gemma":[0.000033812794,0.00042389214,0.2774168,0.0011219487,0.00021047414,0.0006289665,0.003745999,0.060145136,0.006353312,0.05589294,0.5938232,0.00020346833],"about_ca_topic_score_codex":0.010771186,"about_ca_topic_score_gemma":0.007451289,"teacher_disagreement_score":0.010771186,"about_ca_system_score_codex":0.0019429261,"about_ca_system_score_gemma":0.0013273528,"threshold_uncertainty_score":0.022521555},"labels":[],"label_agreement":null},{"id":"W2920883536","doi":"","title":"Productivity Growth in Canada and the United States: Recent Industry Trends and Potential Explanations","year":2018,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; Agricultural economics; Economics; Economic geography; Political science; Regional science; International trade; Geography; Economic growth","score_opus":0.032163461921368985,"score_gpt":0.2517548576143417,"score_spread":0.2195913956929727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920883536","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":[0.745893,0.05722705,0.0015240329,0.07449963,0.0009258209,0.0001007535,0.042773,0.0003054738,0.07675124],"genre_scores_gemma":[0.9640813,0.019843707,0.00057625206,0.0014642396,0.00023780136,0.000022613402,0.009794205,0.00004273586,0.0039371666],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848914,0.000053843483,0.00008255328,0.00018642563,0.00047994728,0.00070807553],"domain_scores_gemma":[0.98983115,0.0007782208,0.001289727,0.00017231,0.0065533337,0.0013752596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017803743,0.0005013747,0.00054908416,0.0071243597,0.0024044812,0.003172665,0.0010799175,0.00065301347,0.0043962607],"category_scores_gemma":[0.006487974,0.000250477,0.00073130504,0.01948004,0.0012957718,0.0014260298,0.0011398097,0.0016499087,0.00040143376],"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":[0.00020766561,0.00008005749,0.8635585,0.0005124483,0.00024407738,0.0005178603,0.002953707,0.0017768876,0.00032668986,0.015300699,0.044932842,0.06958859],"study_design_scores_gemma":[0.000011398592,0.000018273216,0.9649356,0.00034296478,0.000071051145,0.00008334295,0.0032563326,0.0014652638,0.0002650665,0.000944298,0.028565776,0.0000405433],"about_ca_topic_score_codex":0.9868549,"about_ca_topic_score_gemma":0.98768115,"teacher_disagreement_score":0.036611803,"about_ca_system_score_codex":0.036611803,"about_ca_system_score_gemma":0.038332604,"threshold_uncertainty_score":0.26563847},"labels":[],"label_agreement":null},{"id":"W2921188967","doi":"","title":"Is Slow Productivity and Output Growth in Advanced Economies the New Normal","year":2018,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Slowdown; Economics; Productivity; Recession; Demographics; Economic slowdown; Macroeconomics; Economic growth","score_opus":0.023592050944397546,"score_gpt":0.23346513599304164,"score_spread":0.2098730850486441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921188967","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36039442,0.02745756,0.0045036213,0.39220312,0.003730437,0.00005053783,0.0034899432,0.00031111724,0.20785932],"genre_scores_gemma":[0.9579169,0.015323649,0.0005692026,0.00946707,0.002861077,0.0000318415,0.0005248492,0.00006963929,0.013235707],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99902785,0.0001430086,0.00006067794,0.0001586343,0.00027213502,0.00033774434],"domain_scores_gemma":[0.9948521,0.00070528645,0.0016364938,0.0003127228,0.0010666992,0.0014267105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002089463,0.00030990003,0.00050973485,0.001383383,0.0012444035,0.0057206154,0.0004965102,0.002037845,0.009802751],"category_scores_gemma":[0.008609086,0.00023993495,0.0003606858,0.002282411,0.003492329,0.0083685145,0.002058395,0.0033884996,0.0022518313],"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":[0.0010555695,0.00033844195,0.21262515,0.00087274006,0.00022053608,0.001670372,0.0059096073,0.00275013,0.002310221,0.3856337,0.1884101,0.19820349],"study_design_scores_gemma":[0.00012530207,0.00030352888,0.26690635,0.0010303294,0.000077386394,0.0009808092,0.009062196,0.001821585,0.0011936494,0.29520187,0.42317438,0.0001226425],"about_ca_topic_score_codex":0.009096914,"about_ca_topic_score_gemma":0.007030975,"teacher_disagreement_score":0.009802751,"about_ca_system_score_codex":0.0023311535,"about_ca_system_score_gemma":0.002214406,"threshold_uncertainty_score":0.032793522},"labels":[],"label_agreement":null},{"id":"W2921235081","doi":"10.22004/ag.econ.273055","title":"Agricultural Productivity Growth in Canada: Concepts and Evidences","year":2010,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Productivity; Agriculture; Agricultural economics; Agricultural productivity; Business; Natural resource economics; Economics; Economic geography; International trade; Geography; Economic growth","score_opus":0.025679244820574217,"score_gpt":0.19590823906263533,"score_spread":0.17022899424206112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921235081","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":[0.61490995,0.16318667,0.0034540521,0.033293605,0.00019434335,0.00008973956,0.027335616,0.00025456247,0.15728141],"genre_scores_gemma":[0.9628324,0.029825395,0.0008580824,0.00063494465,0.00009822092,0.000009870049,0.002661432,0.00002070755,0.0030588256],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985789,0.00007149367,0.000071832175,0.00022619721,0.0006792595,0.00037233732],"domain_scores_gemma":[0.9817124,0.0054661594,0.0020648723,0.00059506984,0.009075952,0.0010855155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018321284,0.0005476398,0.00055593863,0.006154202,0.0024084821,0.00384702,0.0012476506,0.00067778275,0.0038101315],"category_scores_gemma":[0.011811468,0.00025355883,0.00050103985,0.017352264,0.002796284,0.0017121694,0.0013036049,0.0014822412,0.00022302604],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049418974,0.00020678861,0.6467756,0.0013466697,0.0005865487,0.00066014583,0.0026512772,0.007523136,0.0003632702,0.13491775,0.038894426,0.16558017],"study_design_scores_gemma":[0.00006577818,0.000040437586,0.8817318,0.0013035269,0.0005926108,0.00021689241,0.0048391437,0.007591081,0.0007401499,0.02071313,0.08205083,0.00011458654],"about_ca_topic_score_codex":0.99245256,"about_ca_topic_score_gemma":0.9934907,"teacher_disagreement_score":0.04146479,"about_ca_system_score_codex":0.04146479,"about_ca_system_score_gemma":0.05622916,"threshold_uncertainty_score":0.3008495},"labels":[],"label_agreement":null},{"id":"W2929893688","doi":"10.5539/ibr.v12n4p163","title":"Exploring the Relationship between Government R &amp; D Expenditures and Economic Growth in a Global Perspective: A PMG Estimation Approach","year":2019,"lang":"en","type":"article","venue":"International Business Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Perspective (graphical); Estimation; Estimator; Government spending; Developing country; Econometrics; Economic growth; Statistics; Market economy; Welfare; Mathematics","score_opus":0.23146851116191905,"score_gpt":0.3487942236332125,"score_spread":0.11732571247129345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2929893688","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":[0.93859845,0.0018771543,0.050661404,0.0010123196,0.00007101945,0.00007127688,0.001814759,0.000103070306,0.0057905633],"genre_scores_gemma":[0.98935926,0.0006282428,0.007581423,0.00008300768,0.00005412097,0.00007173365,0.001526558,0.000014353025,0.0006813654],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983675,0.000926126,0.00007234801,0.00031474952,0.00017268182,0.0001465593],"domain_scores_gemma":[0.9945332,0.003879998,0.00091043545,0.00033283106,0.00024586913,0.00009763234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034339956,0.00053732935,0.00073895475,0.0035153816,0.0002736069,0.0011148937,0.00035586904,0.00047810146,0.001785173],"category_scores_gemma":[0.0084098475,0.00020253437,0.001581661,0.0049223565,0.00057029584,0.0010873413,0.0014256577,0.0009172575,0.00026262566],"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":[0.0000890706,0.00007843866,0.90939534,0.00014059275,0.001802856,0.0004392977,0.0005283553,0.022945248,0.0006367371,0.007401507,0.0013280982,0.055214513],"study_design_scores_gemma":[0.000030230784,0.00077088166,0.88662356,0.00013270274,0.0013723979,0.00041137828,0.0030958625,0.08442885,0.0015631159,0.010983744,0.010530259,0.00005698902],"about_ca_topic_score_codex":0.0045038327,"about_ca_topic_score_gemma":0.0030089298,"teacher_disagreement_score":0.0045038327,"about_ca_system_score_codex":0.0003428001,"about_ca_system_score_gemma":0.0005471089,"threshold_uncertainty_score":0.01816094},"labels":[],"label_agreement":null},{"id":"W2936500285","doi":"","title":"Growth review : 2011, 1st Quarter : annual growth : last time in two digit numbers","year":2011,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Numerical digit; Mathematics; Geography; Arithmetic","score_opus":0.02472656153397586,"score_gpt":0.20704550617201353,"score_spread":0.18231894463803766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936500285","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018861225,0.7988735,0.00088563806,0.058261756,0.052005526,0.00008051927,0.056292385,0.00046867836,0.031245898],"genre_scores_gemma":[0.015065899,0.8582274,0.0010246485,0.010774261,0.017186465,0.00019583231,0.05029273,0.00032515769,0.046907593],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985416,0.00015202492,0.00029166447,0.00016528214,0.0006762055,0.00017322543],"domain_scores_gemma":[0.9876231,0.0015398687,0.0018775056,0.000273125,0.007998453,0.00068787957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002208808,0.0010983899,0.0012831002,0.008142743,0.00039145135,0.0027727871,0.00095400243,0.0018375306,0.010308578],"category_scores_gemma":[0.0102591375,0.00047074276,0.00076996,0.014720975,0.00050078414,0.0023607363,0.001141209,0.0027699869,0.011516772],"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":[0.000051015544,0.000011000662,0.00038429897,0.0017407967,0.000017000228,0.000009605366,0.000012032523,0.000087555214,0.000049679835,0.0008658308,0.9483143,0.048457038],"study_design_scores_gemma":[0.000015853097,0.000020608715,0.008887141,0.0029270968,0.000050370563,0.000043376032,0.000044547654,0.000057286954,0.00009894296,0.0002955089,0.98754823,0.000011103295],"about_ca_topic_score_codex":0.02674234,"about_ca_topic_score_gemma":0.029915914,"teacher_disagreement_score":0.02674234,"about_ca_system_score_codex":0.0030086767,"about_ca_system_score_gemma":0.009934965,"threshold_uncertainty_score":0.053173363},"labels":[],"label_agreement":null},{"id":"W2937401094","doi":"10.17811/ebl.8.1.2019.31-40","title":"R&amp;D expenditures by field of science and GDP: Which causes which in Canada?","year":2019,"lang":"en","type":"article","venue":"Economics and Business Letters","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Per capita; Economics; Causality (physics); Gross domestic product; Demographic economics; Econometrics; Macroeconomics; Demography; Sociology; Population","score_opus":0.011647767296276253,"score_gpt":0.18419676369403074,"score_spread":0.17254899639775448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937401094","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":[0.7990231,0.026415097,0.0031751187,0.056156974,0.00032878073,0.00010710488,0.019647801,0.00028290294,0.09486315],"genre_scores_gemma":[0.97736824,0.00848424,0.0008316451,0.0009481359,0.00003462492,0.000013903413,0.0026826956,0.000033916836,0.009602632],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99837697,0.00006108941,0.00006934309,0.00021917387,0.00064809277,0.0006253324],"domain_scores_gemma":[0.9951332,0.0005757944,0.0013625479,0.00018794078,0.0020274331,0.0007129364],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00101946,0.00047169317,0.0005381382,0.0051594274,0.0024990612,0.0033571415,0.00074936467,0.00046836672,0.0052364618],"category_scores_gemma":[0.0045134057,0.00027917474,0.0006879,0.012402974,0.0020256378,0.0011517253,0.0014627688,0.0012759216,0.0004015754],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014155002,0.000040132236,0.86136895,0.000385079,0.00017650187,0.00057517295,0.0016917126,0.0015303419,0.00040763704,0.04761851,0.015566925,0.07049749],"study_design_scores_gemma":[0.000016825321,0.000019173898,0.9424917,0.00025699692,0.00015770913,0.00018551193,0.0037137736,0.0013073811,0.00084274646,0.0060257823,0.044935297,0.000047063786],"about_ca_topic_score_codex":0.987755,"about_ca_topic_score_gemma":0.99005497,"teacher_disagreement_score":0.99484056,"about_ca_system_score_codex":0.03850474,"about_ca_system_score_gemma":0.078761354,"threshold_uncertainty_score":0.2793727},"labels":[],"label_agreement":null},{"id":"W2941858063","doi":"10.1016/j.ijindorg.2019.04.001","title":"Innovation and competition: The role of the product market","year":2019,"lang":"en","type":"article","venue":"International Journal of Industrial Organization","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Competition (biology); Welfare; Industrial organization; Consumer welfare; Product (mathematics); Product market; Product innovation; Economics; Product proliferation; Market competition; Work (physics); New product development; Product differentiation; Business; Market saturation; Microeconomics; Market economy; Order (exchange); Marketing; Market share analysis; Market microstructure; Product management; Incentive","score_opus":0.017743076554693007,"score_gpt":0.19213158497771515,"score_spread":0.17438850842302214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2941858063","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":[0.6421248,0.0066672917,0.12951215,0.01436999,0.00017503716,0.000120045355,0.00019982208,0.000040515213,0.20679036],"genre_scores_gemma":[0.9905255,0.001513333,0.0029190737,0.0003280424,0.00011270083,0.000034213426,0.000016972446,0.000007763434,0.004542396],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989905,0.00050252874,0.000018018998,0.000118021184,0.000108065855,0.00026302523],"domain_scores_gemma":[0.99349207,0.0044801226,0.00091769267,0.00017142344,0.00035149627,0.0005871793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018672345,0.0004970159,0.000825322,0.0006622255,0.0011014704,0.0038865157,0.00060917664,0.002119707,0.008578207],"category_scores_gemma":[0.007636176,0.00020910428,0.0008140482,0.00071348046,0.0034941467,0.005006672,0.0015927926,0.0014598658,0.0004808224],"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":[0.00007953907,0.00008258546,0.0043300544,0.00013103687,0.000042096533,0.00026878098,0.00017041944,0.020902125,0.0015764177,0.9611875,0.001066538,0.01016286],"study_design_scores_gemma":[0.000077904806,0.0002725407,0.0057784608,0.00010510025,0.00009892671,0.00026730393,0.0004916809,0.061412208,0.00080060854,0.923836,0.006818555,0.000040725234],"about_ca_topic_score_codex":0.0026662468,"about_ca_topic_score_gemma":0.0027768116,"teacher_disagreement_score":0.008578207,"about_ca_system_score_codex":0.0018543078,"about_ca_system_score_gemma":0.0016814197,"threshold_uncertainty_score":0.028696954},"labels":[],"label_agreement":null},{"id":"W2942341854","doi":"","title":"Canadian Productivity Growth, Secular Stagnation, and Technological Change","year":2018,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic stagnation; Productivity; Technological change; Slowdown; Economics; Commercialization; Technical change; Total factor productivity; Macroeconomics; Economic growth; Business; Political science","score_opus":0.03426074990914782,"score_gpt":0.22522304506531687,"score_spread":0.19096229515616905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942341854","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":[0.74746764,0.00903899,0.0023110237,0.02183521,0.00017192007,0.00006197367,0.025887905,0.00031296595,0.19291241],"genre_scores_gemma":[0.9858722,0.0028737518,0.000496833,0.000313796,0.00003615376,0.000015249801,0.0043648975,0.000018803355,0.006008206],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847966,0.00005846634,0.000048482645,0.0001208242,0.0006952747,0.0005974171],"domain_scores_gemma":[0.9930051,0.0005948829,0.0013141115,0.00017983637,0.0040028347,0.00090320833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013805631,0.00034001988,0.00046460945,0.006591764,0.0029321637,0.0029711681,0.00063567935,0.00042702246,0.003835013],"category_scores_gemma":[0.00823796,0.00013554275,0.00036283818,0.018065866,0.0016923179,0.0012209255,0.0013982096,0.0011179221,0.00025699026],"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":[0.00020583069,0.000042144977,0.7681766,0.00030462767,0.00015591375,0.0004356135,0.0057564494,0.005103296,0.0003618254,0.10091946,0.0391242,0.07941411],"study_design_scores_gemma":[0.000011677669,0.000023870065,0.93915313,0.00010846945,0.000049989372,0.0000847389,0.0030903448,0.0034839949,0.0002979497,0.007030115,0.046614014,0.000051766317],"about_ca_topic_score_codex":0.9923981,"about_ca_topic_score_gemma":0.9931632,"teacher_disagreement_score":0.0574303,"about_ca_system_score_codex":0.0574303,"about_ca_system_score_gemma":0.049105566,"threshold_uncertainty_score":0.4166879},"labels":[],"label_agreement":null},{"id":"W2942821418","doi":"","title":"Returns to Scale from Labor Specialization: Evidence from Global Asset Management","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","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":"McGill University","funders":"","keywords":"Scale (ratio); Business; Asset (computer security); Returns to scale; Economics; Asset management; Labour economics; Finance; Macroeconomics; Production (economics); Computer science; Geography","score_opus":0.014462132994524422,"score_gpt":0.21986257283933164,"score_spread":0.20540043984480721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942821418","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":[0.9819905,0.001543039,0.0005455068,0.0008022908,0.000012803483,0.000011032893,0.00031231763,0.000017111237,0.0147654535],"genre_scores_gemma":[0.99819595,0.0006142358,0.000074395335,0.000078299614,0.000033261786,0.00000439847,0.00018390402,0.0000067906826,0.00080867775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996038,0.00011204055,0.000022971617,0.000083146326,0.000095141724,0.0000829514],"domain_scores_gemma":[0.9789676,0.011671868,0.0055924472,0.0016986841,0.0008022975,0.001267084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013394859,0.0003250287,0.00043510267,0.0014639079,0.0002997129,0.0012341923,0.0003751699,0.00053551554,0.009605065],"category_scores_gemma":[0.00966734,0.00015725818,0.000444074,0.0019373262,0.0016417376,0.0011981775,0.0012096605,0.0009222057,0.0008603402],"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":[0.0013373214,0.00023857466,0.8828183,0.0002046199,0.00044354552,0.00042339438,0.0015299133,0.004169575,0.0011720262,0.009020615,0.0027622685,0.09587993],"study_design_scores_gemma":[0.000032581767,0.00011476376,0.9878473,0.000033037682,0.00008502239,0.00007099883,0.00082151784,0.0005856003,0.00025180637,0.008750518,0.0013967208,0.00001010199],"about_ca_topic_score_codex":0.0038478004,"about_ca_topic_score_gemma":0.004128148,"teacher_disagreement_score":0.009605065,"about_ca_system_score_codex":0.00036939466,"about_ca_system_score_gemma":0.00024684967,"threshold_uncertainty_score":0.03213221},"labels":[],"label_agreement":null},{"id":"W2944620845","doi":"10.4000/interventionseconomiques.5803","title":"La longue marche de l’Afrique vers la convergence et les bénéfices démographiques","year":2017,"lang":"fr","type":"article","venue":"Interventions économiques","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Political science; Geography; Economics; Regional science; Economic growth","score_opus":0.10171193778147908,"score_gpt":0.3212661111368799,"score_spread":0.21955417335540084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944620845","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":[0.41147202,0.12383514,0.02212415,0.2601289,0.0022474113,0.000145699,0.0024229824,0.00032841074,0.17729525],"genre_scores_gemma":[0.90520597,0.036391806,0.0103801275,0.0060762353,0.0014777812,0.00015465589,0.00062412187,0.0001043574,0.039584924],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979594,0.0012586096,0.00005753869,0.00024700718,0.00021678187,0.00026069657],"domain_scores_gemma":[0.9945861,0.002783397,0.0006591254,0.00033104492,0.0009851543,0.00065520464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050190277,0.00035417776,0.0005960146,0.001358081,0.0016833153,0.0031413392,0.000482383,0.0014553693,0.018052064],"category_scores_gemma":[0.011009162,0.00020053612,0.0004160106,0.0017065689,0.0021151588,0.0024083492,0.002085726,0.0018409096,0.002574435],"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":[0.00092860777,0.00023394317,0.035572775,0.001541628,0.00020361149,0.00040638444,0.012682418,0.0018846283,0.0037639602,0.25055704,0.026070956,0.666154],"study_design_scores_gemma":[0.00015830525,0.0006801985,0.19574721,0.002894511,0.00013047592,0.00063493534,0.014489204,0.001588781,0.002320872,0.09336408,0.6878839,0.00010759927],"about_ca_topic_score_codex":0.0361746,"about_ca_topic_score_gemma":0.04332483,"teacher_disagreement_score":0.0361746,"about_ca_system_score_codex":0.004464992,"about_ca_system_score_gemma":0.0059677092,"threshold_uncertainty_score":0.071928084},"labels":[],"label_agreement":null},{"id":"W2946792147","doi":"10.1016/j.econlet.2019.07.008","title":"Duration dependence in US expansions: A re-examination of the evidence","year":2019,"lang":"en","type":"article","venue":"Economics Letters","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"Bank of Canada","funders":"","keywords":"Recession; Duration (music); Economics; Econometrics; Keynesian economics; Physics","score_opus":0.031213282914842905,"score_gpt":0.20383540032741204,"score_spread":0.17262211741256914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946792147","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":[0.8519237,0.10440212,0.002574416,0.010802934,0.00037963677,0.000023260061,0.004431315,0.00004801141,0.0254147],"genre_scores_gemma":[0.9756267,0.01716624,0.00039368024,0.0021285352,0.0007634231,0.000010206217,0.0018395516,0.000052402418,0.0020192955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988707,0.00023722957,0.00015987665,0.00034501858,0.00022928831,0.0001577471],"domain_scores_gemma":[0.930863,0.04790867,0.011270835,0.004163533,0.003736458,0.0020574043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00653112,0.00028337634,0.0006216807,0.0027641999,0.00056235015,0.0019425517,0.0012918944,0.0010102335,0.013176537],"category_scores_gemma":[0.031325545,0.00024684353,0.00087677164,0.0045765573,0.0011455575,0.0025401274,0.001849115,0.0023423845,0.000815989],"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":[0.0018890467,0.00017573754,0.7798352,0.0013194716,0.0011943863,0.0005542718,0.0020436377,0.0012989612,0.000891157,0.01601333,0.011249782,0.18353502],"study_design_scores_gemma":[0.00005377021,0.00015534404,0.95581204,0.0009928904,0.000984417,0.00048119595,0.0017108145,0.0009698083,0.0005046352,0.0066875466,0.031605802,0.00004170952],"about_ca_topic_score_codex":0.019355927,"about_ca_topic_score_gemma":0.023005357,"teacher_disagreement_score":0.019355927,"about_ca_system_score_codex":0.0007478455,"about_ca_system_score_gemma":0.0008694267,"threshold_uncertainty_score":0.0440799},"labels":[],"label_agreement":null},{"id":"W2948600282","doi":"10.1007/978-3-030-23727-1_18","title":"Productivity Indexes and National Statistics: Theory, Methods and Challenges","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"University of British Columbia","funders":"","keywords":"Productivity; Statistics; Econometrics; Economics; Regional science; Geography; Mathematics; Economic growth","score_opus":0.08045498647578213,"score_gpt":0.2698686434877234,"score_spread":0.18941365701194124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948600282","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":[0.0039765225,0.2530891,0.4839029,0.10184561,0.007974846,0.00009625732,0.0026703551,0.001512867,0.14493151],"genre_scores_gemma":[0.14456864,0.31246704,0.40610087,0.013395064,0.032076556,0.00079187436,0.003160515,0.002335358,0.08510409],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99044144,0.005352707,0.0005244733,0.0007502845,0.0027202286,0.00021088164],"domain_scores_gemma":[0.899646,0.08408621,0.0021336928,0.0060481993,0.007238515,0.00084740366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019341847,0.0011187056,0.0021653953,0.007202549,0.0010738831,0.013732063,0.0026195904,0.0029711132,0.010235797],"category_scores_gemma":[0.0809951,0.0008876641,0.00059112126,0.01435309,0.007486574,0.015508764,0.0030614806,0.007979188,0.0044050976],"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":[0.000007560412,0.000021422402,0.0009721214,0.00014112235,0.00001609469,0.00001064471,0.0001296978,0.00071484497,0.000034831264,0.80858886,0.045423906,0.14393896],"study_design_scores_gemma":[0.000004335656,0.000009996063,0.0010255898,0.00038361008,0.000010895493,0.000057937836,0.00020387389,0.005024312,0.000108239445,0.8765432,0.116600245,0.000027739501],"about_ca_topic_score_codex":0.0059354035,"about_ca_topic_score_gemma":0.00736509,"teacher_disagreement_score":0.019341847,"about_ca_system_score_codex":0.0045085126,"about_ca_system_score_gemma":0.005419068,"threshold_uncertainty_score":0.10229063},"labels":[],"label_agreement":null},{"id":"W2948724897","doi":"10.1007/s40819-019-0687-y","title":"Revisiting Asymptotic Stability in Solow’s Growth Model","year":2019,"lang":"en","type":"article","venue":"International Journal of Applied and Computational Mathematics","topic":"Economic Growth and Productivity","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 Toronto","funders":"","keywords":"Remainder; Ode; Combinatorics; Stability (learning theory); Mathematics; Prime (order theory); Applied mathematics; Arithmetic","score_opus":0.024437984676275434,"score_gpt":0.22135818270123783,"score_spread":0.1969201980249624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948724897","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":[0.15218195,0.00253655,0.7866418,0.0046649775,0.00042537245,0.000059138245,0.00022914495,0.00043040962,0.052830722],"genre_scores_gemma":[0.9652771,0.0009806624,0.019922266,0.00036926064,0.00022014891,0.00010258203,0.00015036007,0.00018625443,0.012791544],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994648,0.00026409744,0.000023559835,0.00008684236,0.00009415445,0.0000665759],"domain_scores_gemma":[0.9968286,0.002203824,0.00025961464,0.00016181047,0.00042067337,0.00012543469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019767776,0.0008014796,0.0012813275,0.0013773823,0.0008639255,0.0021520732,0.0014752805,0.0016726038,0.0043905666],"category_scores_gemma":[0.015415879,0.00035429816,0.001099477,0.0007899277,0.0021311713,0.0029606689,0.002426046,0.0020410216,0.0006402383],"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":[0.000061154235,0.000032422755,0.0011942998,0.000120094985,0.000053794844,0.00020426488,0.00032669932,0.15623084,0.001359077,0.82792056,0.0030751836,0.009421539],"study_design_scores_gemma":[0.0000075862713,0.000013512362,0.00018092674,0.000016350552,0.000010440628,0.000033931094,0.00004394277,0.76987505,0.00014311254,0.228646,0.0010179799,0.000011092273],"about_ca_topic_score_codex":0.004943281,"about_ca_topic_score_gemma":0.0018678228,"teacher_disagreement_score":0.004943281,"about_ca_system_score_codex":0.0012274974,"about_ca_system_score_gemma":0.000985902,"threshold_uncertainty_score":0.014687896},"labels":[],"label_agreement":null},{"id":"W2950442309","doi":"10.2139/ssrn.2970250","title":"Can Capital Deepening Explain the Global Decline in Labor's Share?","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","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":"Bank of Canada; Western University","funders":"","keywords":"Economics; Labour economics; Capital (architecture); Capital deepening; Capital formation; Human capital; Financial capital; Market economy; Geography","score_opus":0.01671080211406086,"score_gpt":0.22813446273851026,"score_spread":0.2114236606244494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950442309","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":[0.7866801,0.031140422,0.0062466087,0.10337046,0.0019977682,0.00005982189,0.0051581524,0.0002462534,0.06510043],"genre_scores_gemma":[0.9869398,0.0060003805,0.00033854978,0.0012979686,0.00060958957,0.000011278865,0.00054492574,0.00002813663,0.0042294315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998222,0.000018591047,0.0000093441195,0.000045807763,0.000021169915,0.000082930776],"domain_scores_gemma":[0.9987852,0.00036528165,0.0004023672,0.00014128444,0.00014718155,0.00015881842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009052792,0.00048324294,0.0005305146,0.0009999103,0.00050555705,0.0020999727,0.0007159833,0.0014712163,0.0093330555],"category_scores_gemma":[0.003918671,0.00020401321,0.0007270607,0.0015518145,0.0015834693,0.002962115,0.0011493914,0.0013172991,0.0012781547],"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":[0.0012345627,0.00022215601,0.4652343,0.0013006018,0.0004770691,0.0018298413,0.0026498896,0.019452067,0.0034287968,0.26175025,0.039332535,0.2030879],"study_design_scores_gemma":[0.00011442537,0.00023541656,0.5635313,0.0007509168,0.00034344627,0.0006623782,0.0055075428,0.015881939,0.0020368844,0.28281584,0.12802905,0.00009094],"about_ca_topic_score_codex":0.011558138,"about_ca_topic_score_gemma":0.011773597,"teacher_disagreement_score":0.011558138,"about_ca_system_score_codex":0.0011774853,"about_ca_system_score_gemma":0.0010893568,"threshold_uncertainty_score":0.031222165},"labels":[],"label_agreement":null},{"id":"W2950659463","doi":"10.2139/ssrn.3053127","title":"Structural Transformation and the Rise of Information Technology","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","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":"Spinal Cord Injury BC; University of British Columbia Hospital","funders":"","keywords":"Transformation (genetics); Computer science; Chemistry","score_opus":0.0082995913390459,"score_gpt":0.19487480034121527,"score_spread":0.18657520900216937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950659463","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":[0.5827322,0.009435584,0.046258207,0.06165732,0.0004957745,0.00007191966,0.00064138416,0.00026827466,0.2984394],"genre_scores_gemma":[0.9942205,0.0010884794,0.0013775891,0.00025021288,0.00020303419,0.000009169039,0.000041920575,0.000016392398,0.002792646],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999099,0.00031333414,0.000044652472,0.00015500843,0.0002132047,0.00017477584],"domain_scores_gemma":[0.9919803,0.0047163446,0.0011270099,0.0009409388,0.00071622006,0.00051921693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014316024,0.00017214919,0.0003784306,0.0016431201,0.0012233515,0.004359206,0.00049496896,0.001777497,0.0101253735],"category_scores_gemma":[0.011896555,0.00021425821,0.00038510916,0.002219091,0.006427734,0.00664183,0.00216346,0.0025146597,0.00065878977],"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":[0.000043632877,0.00002483638,0.0013262932,0.000040358507,0.000005958867,0.000085247775,0.00070304476,0.0014444195,0.00031821718,0.98511815,0.0010989424,0.009790975],"study_design_scores_gemma":[0.000021895536,0.000028815084,0.003363916,0.000033839387,0.0000052574146,0.00010227005,0.00046441035,0.00395686,0.00038555352,0.9747276,0.016898395,0.0000112727585],"about_ca_topic_score_codex":0.002350968,"about_ca_topic_score_gemma":0.0017117384,"teacher_disagreement_score":0.0101253735,"about_ca_system_score_codex":0.0035659028,"about_ca_system_score_gemma":0.0014895097,"threshold_uncertainty_score":0.033872724},"labels":[],"label_agreement":null},{"id":"W2951503318","doi":"10.5430/ijhe.v8n3p226","title":"Are Graduates from the Arts-Related Academic Disciplines More Productive than those from the Science-Related Disciplines?","year":2019,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"The arts; Productivity; Discipline; Causality (physics); Higher education; Sociology; Mathematics education; Social science; Classical economics; Political science; Psychology; Economic growth; Economics","score_opus":0.03794435070925539,"score_gpt":0.308018719017214,"score_spread":0.2700743683079586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951503318","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":[0.9977812,0.00033913992,0.000084479405,0.00051991263,0.000009397188,0.000004504367,0.00011067246,9.2320585e-7,0.0011496766],"genre_scores_gemma":[0.99944264,0.00018369855,0.00004340467,0.000051540486,0.000008268969,0.0000027356177,0.000046360718,6.376983e-7,0.0002207698],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991818,0.00025605824,0.00005951349,0.000117478,0.00010531362,0.00027975132],"domain_scores_gemma":[0.99171597,0.003976175,0.0029809242,0.00022695317,0.000379141,0.00072080945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022228041,0.00011954192,0.00027126505,0.0010774841,0.00034929987,0.0012883671,0.00035162878,0.00060067466,0.0039372747],"category_scores_gemma":[0.0084515475,0.00013577119,0.0003077208,0.0014661931,0.0013491233,0.0010845223,0.00053724844,0.0005626402,0.0007478876],"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":[0.00004860408,0.00003757086,0.9913749,0.000026335187,0.000029323066,0.00006254806,0.0014858344,0.00001902316,0.00013927008,0.00027474808,0.00014604723,0.0063557173],"study_design_scores_gemma":[0.0000035825233,0.000053887477,0.9918783,0.000034004235,0.000015857626,0.000094256626,0.0068422854,0.000048551738,0.000094015224,0.00027096545,0.00066117226,0.0000030735666],"about_ca_topic_score_codex":0.0027692467,"about_ca_topic_score_gemma":0.0038045933,"teacher_disagreement_score":0.0039372747,"about_ca_system_score_codex":0.0003706006,"about_ca_system_score_gemma":0.0006051949,"threshold_uncertainty_score":0.013171494},"labels":[],"label_agreement":null},{"id":"W2951872945","doi":"","title":"Integration processes and marginal vertical β-convergence in the European Union Member States","year":2016,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Member states; European union; International trade; Economics; Macroeconomics","score_opus":0.029623816516366943,"score_gpt":0.2206351440487689,"score_spread":0.19101132753240196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951872945","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":[0.89278674,0.014351775,0.021321427,0.0035588443,0.00010963337,0.000016527229,0.00023901505,0.00007844386,0.06753761],"genre_scores_gemma":[0.9951906,0.001899414,0.0011301882,0.00011488311,0.000051093837,0.000008771923,0.00008004926,0.000012945369,0.001511979],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999071,0.000368729,0.00005301503,0.00017307249,0.00013275408,0.00020137738],"domain_scores_gemma":[0.9979024,0.0007437399,0.00047954335,0.00018682958,0.0004714842,0.00021605006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032289065,0.00037827733,0.00074831385,0.0015705036,0.0010247071,0.005416337,0.0006348938,0.0010464056,0.0030418076],"category_scores_gemma":[0.008815574,0.00030521417,0.0007229042,0.0029211517,0.0025058517,0.0036942498,0.0025505838,0.001500167,0.00023403829],"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":[0.00020187961,0.00005247904,0.018765574,0.000078665355,0.00013883652,0.00015798875,0.001100796,0.013007976,0.000251197,0.9249566,0.0015949033,0.039693072],"study_design_scores_gemma":[0.000052284835,0.000063727464,0.067209095,0.00044456433,0.00012514617,0.00015539752,0.0014510005,0.017175792,0.00041399756,0.9022319,0.010645624,0.000031449188],"about_ca_topic_score_codex":0.011277458,"about_ca_topic_score_gemma":0.005272416,"teacher_disagreement_score":0.011277458,"about_ca_system_score_codex":0.0021380212,"about_ca_system_score_gemma":0.00097449264,"threshold_uncertainty_score":0.022423625},"labels":[],"label_agreement":null},{"id":"W2952793736","doi":"10.1080/07474938.2017.1307548","title":"Identification-robust moment-based tests for Markov switching in autoregressive models","year":2017,"lang":"en","type":"preprint","venue":"Econometric Reviews","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; McGill University","funders":"Université de Montréal; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Mitacs; McGill University","keywords":"Autoregressive model; SETAR; Context (archaeology); Markov chain Monte Carlo; STAR model; Markov chain; Inference; Econometrics; Computer science; Monte Carlo method; Identification (biology); Mathematics; Statistics; Artificial intelligence; Autoregressive integrated moving average; Machine learning; Time series","score_opus":0.17814509029271353,"score_gpt":0.31045616179567315,"score_spread":0.13231107150295962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952793736","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":[0.060343586,0.0010006712,0.932144,0.00082024746,0.0001086297,0.000110708,0.00046198384,0.0008407564,0.0041694376],"genre_scores_gemma":[0.90226686,0.00067560864,0.09349529,0.00033670562,0.00037616646,0.00036575098,0.0011261315,0.00019701752,0.0011604647],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97398067,0.018413328,0.0011189106,0.0026177655,0.0030751417,0.0007941853],"domain_scores_gemma":[0.6862221,0.28930122,0.011893545,0.00808935,0.0035583857,0.00093533605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02359791,0.00091134984,0.00243386,0.003824273,0.0008517124,0.0022158623,0.0024756405,0.0019073399,0.0066151894],"category_scores_gemma":[0.20048136,0.0007142635,0.0020082346,0.0025004703,0.0031211697,0.0043428047,0.003053302,0.0033558367,0.0010849275],"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":[0.0007311285,0.0003884752,0.037402093,0.00069446675,0.0014582735,0.0007075988,0.00082755764,0.1923019,0.0029509377,0.5579855,0.0054546194,0.19909744],"study_design_scores_gemma":[0.0001474216,0.00028689823,0.009628005,0.00014679505,0.00016849278,0.0002373099,0.00022020181,0.45190993,0.0022928908,0.53229576,0.0025523694,0.00011395867],"about_ca_topic_score_codex":0.001129046,"about_ca_topic_score_gemma":0.00061770115,"teacher_disagreement_score":0.02359791,"about_ca_system_score_codex":0.001062233,"about_ca_system_score_gemma":0.0024390274,"threshold_uncertainty_score":0.12479919},"labels":[],"label_agreement":null},{"id":"W2953343739","doi":"10.2139/ssrn.2942346","title":"A Simulation Analysis of the Longer-Term Effects of Immigration on per Capita Income in an Aging Population","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Term (time); Immigration; Demographic economics; Per capita income; Economics; Per capita; Population; Population ageing; Econometrics; Demography; Geography; Sociology","score_opus":0.015231394399953472,"score_gpt":0.2381333002391641,"score_spread":0.22290190583921063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953343739","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":[0.98907673,0.0002574813,0.0042340844,0.0008732687,0.00005275608,0.000029880246,0.0011280177,0.000051072122,0.0042967293],"genre_scores_gemma":[0.9958812,0.00014431027,0.0010321391,0.00009713291,0.000019827597,0.00003242601,0.0005337885,0.0000129246255,0.0022462641],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995962,0.00017742635,0.000015391648,0.000051521667,0.000022666129,0.00013686605],"domain_scores_gemma":[0.9917964,0.006349563,0.0005577896,0.0002666377,0.00046462324,0.000564894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001727762,0.00051777513,0.0009244618,0.0009275422,0.0006868253,0.0010537189,0.0013483538,0.0021810057,0.009151747],"category_scores_gemma":[0.0072727134,0.00047658104,0.0015186592,0.0012199264,0.0009773411,0.0010566557,0.0009113,0.0016324951,0.00041409186],"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":[0.00039434189,0.00024448364,0.013439123,0.000032870634,0.00011388689,0.00019255848,0.00010939899,0.97670686,0.00020143097,0.005285163,0.0013688732,0.001911009],"study_design_scores_gemma":[0.00011795748,0.00017037826,0.0054316595,0.000016071792,0.00007297102,0.000056039014,0.00022460525,0.9913476,0.0000914541,0.0021332693,0.00031760472,0.000020416699],"about_ca_topic_score_codex":0.0848027,"about_ca_topic_score_gemma":0.044773877,"teacher_disagreement_score":0.0848027,"about_ca_system_score_codex":0.002237905,"about_ca_system_score_gemma":0.0013756434,"threshold_uncertainty_score":0.16861814},"labels":[],"label_agreement":null},{"id":"W2959808014","doi":"10.3386/w28149","title":"Production Networks and International Fiscal Spillovers","year":2020,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; National Natural Science Foundation of China; Agence Nationale de la Recherche; Aix-Marseille Université","keywords":"Production (economics); Business; Economics; Monetary economics; Financial system; Macroeconomics","score_opus":0.31926962583135216,"score_gpt":0.42155273986923725,"score_spread":0.10228311403788509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2959808014","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":[0.7244595,0.0023993293,0.16610602,0.006089249,0.00015468831,0.00014798334,0.0014609613,0.00028848075,0.09889385],"genre_scores_gemma":[0.98782814,0.001432782,0.0026947635,0.00010352851,0.000053998163,0.00006308644,0.00016629051,0.000015429418,0.0076419017],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9995627,0.00018722468,0.000016160498,0.0000767661,0.000046820674,0.00011022442],"domain_scores_gemma":[0.9983677,0.00081018027,0.0005153155,0.00009440795,0.0000848879,0.00012746757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011247353,0.00076193403,0.0006729885,0.0010210916,0.00065521535,0.0020789674,0.00062237226,0.0008590213,0.009554105],"category_scores_gemma":[0.0037557029,0.00042291507,0.00084086455,0.0012128819,0.0010993294,0.0027834189,0.0017327681,0.0008596469,0.0005153873],"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":[0.000170013,0.00009385491,0.0061544282,0.000078369,0.0000884112,0.0003036564,0.00023108275,0.66920346,0.0004281784,0.31190324,0.0014934359,0.009851782],"study_design_scores_gemma":[0.00026966032,0.00020952034,0.012269006,0.00015231667,0.00017871663,0.00023026258,0.0007078906,0.58811986,0.00051358365,0.3824341,0.014844142,0.00007090074],"about_ca_topic_score_codex":0.0103687635,"about_ca_topic_score_gemma":0.0062358817,"teacher_disagreement_score":0.0103687635,"about_ca_system_score_codex":0.0023765652,"about_ca_system_score_gemma":0.00079610536,"threshold_uncertainty_score":0.03196168},"labels":[],"label_agreement":null},{"id":"W2963353121","doi":"10.5539/ibr.v12n8p81","title":"Quantitative Identification of Middle-Income Trap","year":2019,"lang":"en","type":"article","venue":"International Business Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Middle income trap; Trap (plumbing); Identification (biology); Low and middle income countries; Perspective (graphical); Middle income; Economics; Econometrics; Demographic economics; Developing country; Economic growth; Computer science; Geography; Political science; Biology; Artificial intelligence; Law","score_opus":0.1546809813098344,"score_gpt":0.3518353234252585,"score_spread":0.19715434211542407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963353121","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":[0.8457116,0.0023684693,0.10946772,0.0012205725,0.00011704702,0.00027791204,0.0045974837,0.00025974875,0.03597944],"genre_scores_gemma":[0.989365,0.00046128887,0.006606461,0.000052029813,0.000027556483,0.00011786009,0.0017256516,0.000022549277,0.0016216238],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991211,0.0001459615,0.0000766358,0.0001357715,0.00033644622,0.00018409677],"domain_scores_gemma":[0.99723226,0.0006288393,0.0008980509,0.00014587895,0.0008868851,0.000208185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020857875,0.0003700049,0.0004169788,0.006664119,0.0010615512,0.0019159765,0.0005946692,0.00036250454,0.0037340752],"category_scores_gemma":[0.005410086,0.00012859347,0.00051742705,0.005837564,0.0009673633,0.0034218226,0.0022177526,0.00067379995,0.00041278967],"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":[0.0003131059,0.00012348876,0.59797853,0.0007219517,0.00019691355,0.0012523878,0.0073614777,0.01489956,0.0015193913,0.21644893,0.012498381,0.14668587],"study_design_scores_gemma":[0.000020962296,0.00025117755,0.6868412,0.0005986328,0.00016272394,0.0013035315,0.03184529,0.09658748,0.003380939,0.13011266,0.04869101,0.0002042922],"about_ca_topic_score_codex":0.0052300473,"about_ca_topic_score_gemma":0.0048938766,"teacher_disagreement_score":0.006664119,"about_ca_system_score_codex":0.0013911532,"about_ca_system_score_gemma":0.0014875635,"threshold_uncertainty_score":0.012491763},"labels":[],"label_agreement":null},{"id":"W2965290568","doi":"10.33423/jabe.v21i4.2128","title":"IQ and Economic Volatility","year":2019,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Bivariate analysis; Economics; Standard deviation; Econometrics; Statistics; Mathematics","score_opus":0.013805461309823703,"score_gpt":0.1767663052985877,"score_spread":0.16296084398876398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965290568","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":[0.9872111,0.0020434312,0.00048720848,0.0012013084,0.000039297458,0.0000040228965,0.00055372546,0.000012729808,0.008447168],"genre_scores_gemma":[0.9991867,0.00027387333,0.000051023377,0.000046435478,0.00003379242,0.0000014054859,0.00020544721,0.000002161761,0.00019911925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999471,0.00018074914,0.000045399804,0.000082725914,0.00008911707,0.00013105573],"domain_scores_gemma":[0.99284315,0.0024454116,0.0030157608,0.00040457203,0.00043235518,0.0008587883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010168479,0.00013248819,0.00033574904,0.0012261828,0.00022289359,0.0015454311,0.00020997257,0.00038410124,0.0026737256],"category_scores_gemma":[0.010121708,0.0000921899,0.00031851567,0.0019626177,0.0006300981,0.00079001655,0.00089740095,0.00058596535,0.0002708784],"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":[0.00007762032,0.000026471062,0.9843209,0.000023155817,0.00019952626,0.000094268136,0.00023486027,0.0010484197,0.000108716886,0.0045833522,0.00070758647,0.008575185],"study_design_scores_gemma":[0.0000041848525,0.000022814826,0.993662,0.00002193436,0.000029758867,0.000101726066,0.00024013307,0.0007852577,0.00007463364,0.0039730766,0.001074952,0.0000095018495],"about_ca_topic_score_codex":0.0023685384,"about_ca_topic_score_gemma":0.0013629204,"teacher_disagreement_score":0.0026737256,"about_ca_system_score_codex":0.00031104908,"about_ca_system_score_gemma":0.00020966589,"threshold_uncertainty_score":0.008944452},"labels":[],"label_agreement":null},{"id":"W2965512182","doi":"10.1007/978-3-030-26713-1_5","title":"The End of the Age of Speed and the Productivity Slowdown","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes in production engineering","topic":"Economic Growth and Productivity","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":"Université Laval","funders":"","keywords":"Slowdown; Productivity; Economic slowdown; Economics; International economics; Macroeconomics; Economic growth","score_opus":0.011194801575497904,"score_gpt":0.16740231380007917,"score_spread":0.15620751222458126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965512182","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":[0.073484674,0.070684835,0.015676674,0.32865372,0.0070393747,0.000045679117,0.0014277095,0.00042108013,0.5025663],"genre_scores_gemma":[0.8131789,0.036860887,0.00466445,0.020187825,0.00871705,0.00010350843,0.00038314433,0.00053747906,0.11536669],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99886996,0.00024553933,0.00005188813,0.00022386566,0.00033721243,0.0002714601],"domain_scores_gemma":[0.99565315,0.0021245976,0.00048366084,0.0004924524,0.0007253145,0.00052076526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029196134,0.00072339975,0.00067352905,0.0015770535,0.0019351229,0.008674514,0.00080144755,0.0047432613,0.015733307],"category_scores_gemma":[0.0108480435,0.0003805493,0.0005065669,0.0024640698,0.0067478814,0.018398125,0.0034014436,0.007962778,0.0031083464],"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":[0.00013389996,0.000021339023,0.0007982009,0.00007827227,0.000013181705,0.00010461868,0.0016915011,0.00042751577,0.0002645529,0.9155689,0.03776562,0.0431323],"study_design_scores_gemma":[0.000027686108,0.000041865456,0.002592347,0.00020115687,0.000011620752,0.000119376135,0.0011659545,0.00042753867,0.00031042434,0.61003655,0.38503703,0.000028393633],"about_ca_topic_score_codex":0.004394028,"about_ca_topic_score_gemma":0.0022215513,"teacher_disagreement_score":0.015733307,"about_ca_system_score_codex":0.0030537245,"about_ca_system_score_gemma":0.0022478302,"threshold_uncertainty_score":0.052633166},"labels":[],"label_agreement":null},{"id":"W2966247228","doi":"10.26710/reads.v5i3.697","title":"Intellectual Property Rights and Creative Economy; Way Forward for Pakistan","year":2019,"lang":"en","type":"article","venue":"Review of Economics and Development Studies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"GL Chemtec International (Canada)","funders":"","keywords":"Intellectual property; Enforcement; Creative industries; Revenue; Investment (military); China; Economy; Incentive; Creative economy; Business; Economics; Market economy; Creativity; Law; Finance; Political science","score_opus":0.055728154345846985,"score_gpt":0.2633657115262411,"score_spread":0.20763755718039412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966247228","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":[0.23493963,0.16828494,0.0045090616,0.11061491,0.0011879597,0.000086679676,0.0014370694,0.000085525586,0.4788542],"genre_scores_gemma":[0.8942297,0.07873098,0.0010546667,0.0014989107,0.00038956708,0.000020838335,0.0002566355,0.000007869561,0.023810921],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999808,0.000030317105,0.0000086758955,0.00002491815,0.000069244954,0.0000588037],"domain_scores_gemma":[0.9987878,0.000394799,0.00037314033,0.00003273554,0.0002541934,0.00015733889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004213738,0.0002180085,0.0001609141,0.0014419119,0.0013732205,0.0038591619,0.00020227442,0.0007568197,0.011733016],"category_scores_gemma":[0.0013815272,0.000083627354,0.0001997994,0.0024178443,0.001283152,0.0031407825,0.0008227775,0.0012898515,0.000820308],"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":[0.00009446327,0.0001916229,0.055374395,0.0012402791,0.00003244519,0.003355622,0.0022653753,0.0017662889,0.00036096195,0.5806819,0.05248807,0.3021486],"study_design_scores_gemma":[0.000038061422,0.00015108092,0.14329875,0.0033941185,0.000055720207,0.0027425468,0.0142411785,0.0024685946,0.0010484065,0.17921951,0.6532694,0.000072543015],"about_ca_topic_score_codex":0.011825206,"about_ca_topic_score_gemma":0.012804658,"teacher_disagreement_score":0.011825206,"about_ca_system_score_codex":0.002186986,"about_ca_system_score_gemma":0.004318551,"threshold_uncertainty_score":0.03925085},"labels":[],"label_agreement":null},{"id":"W2969105010","doi":"10.33423/jabe.v22i12.3880","title":"Challenges in Escaping Middle-Income Trap in Selected Asian Countries","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Life expectancy; Economics; Gross national income; Per capita; Context (archaeology); Per capita income; Panel data; Demographic economics; Liberalization; Middle income trap; Development economics; Monetary economics; Developing country; Economic growth; Econometrics; Demography; Geography; Population; China","score_opus":0.05572885762718135,"score_gpt":0.19838234049212028,"score_spread":0.14265348286493892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969105010","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":[0.9916013,0.0012779422,0.0002781372,0.0018929795,0.00002599192,0.000016027563,0.00045444744,0.000010409113,0.004442789],"genre_scores_gemma":[0.99834216,0.00066042534,0.000120882585,0.00021425163,0.0000118628695,0.000009764442,0.00025795196,0.000004152354,0.00037854013],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995034,0.00015862765,0.000036158133,0.000037783913,0.000055325134,0.00020880126],"domain_scores_gemma":[0.9988482,0.00013068272,0.0005360946,0.000049543138,0.00015842407,0.0002771058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016139207,0.00026623585,0.00033990238,0.0011305333,0.0007890508,0.0020159818,0.0004591551,0.00039288768,0.0019049086],"category_scores_gemma":[0.0018025537,0.00014507248,0.0005244236,0.001930529,0.0007013993,0.0012850227,0.0018244392,0.0007045087,0.00027044822],"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":[0.00010593692,0.0000847362,0.9685545,0.00012958897,0.00014608522,0.0016655835,0.0039504883,0.0006748052,0.0002146288,0.0059546237,0.0021432464,0.01637573],"study_design_scores_gemma":[0.000011286822,0.00010069528,0.9476867,0.0003035357,0.00007428467,0.0005669215,0.03651097,0.0018233439,0.00034927417,0.002156006,0.010388333,0.000028695555],"about_ca_topic_score_codex":0.022325853,"about_ca_topic_score_gemma":0.026302377,"teacher_disagreement_score":0.022325853,"about_ca_system_score_codex":0.0007508114,"about_ca_system_score_gemma":0.0015589114,"threshold_uncertainty_score":0.04439181},"labels":[],"label_agreement":null},{"id":"W2969330097","doi":"","title":"New BEA-BLS Estimates of the Sources of U.S. Economic Growth between 1987 and 2016","year":2019,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Tertiary sector of the economy; Capital (architecture); Labour economics; Service (business); Manufacturing sector; Production (economics); Aggregate income; Income distribution; Economy; Macroeconomics; Inequality; Geography","score_opus":0.01642978032276704,"score_gpt":0.21975312997696236,"score_spread":0.20332334965419532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969330097","genre_codex":"dataset","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":[0.018008785,0.0011058414,0.00084235944,0.0005328981,0.00021846412,0.000035402594,0.968393,0.00039679083,0.01046641],"genre_scores_gemma":[0.015423757,0.0007446296,0.0006605797,0.00009346363,0.00008673518,0.000098564684,0.9778144,0.00009764136,0.0049803173],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99871635,0.000081652106,0.00014356313,0.00021403146,0.00066538865,0.0001789791],"domain_scores_gemma":[0.9952146,0.00038522723,0.0013073348,0.00027808707,0.0025471936,0.0002676784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007961789,0.0011111711,0.0006771749,0.009196605,0.00046159155,0.0021518185,0.0007055885,0.00048183135,0.009966383],"category_scores_gemma":[0.0050903144,0.00047411522,0.0006921105,0.016430868,0.00017173047,0.0015257536,0.0014340415,0.0016218872,0.010493562],"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":[0.00012768099,0.00010246167,0.094752505,0.000516827,0.00017485941,0.000093722774,0.00023034342,0.003362161,0.0002712212,0.0039705127,0.8574158,0.038981948],"study_design_scores_gemma":[0.000041415457,0.00003142068,0.2556569,0.00029509806,0.000053584186,0.00009820288,0.0003407282,0.0020005798,0.0006010655,0.0010725498,0.7397603,0.00004810223],"about_ca_topic_score_codex":0.119490094,"about_ca_topic_score_gemma":0.10995392,"teacher_disagreement_score":0.119490094,"about_ca_system_score_codex":0.0017611947,"about_ca_system_score_gemma":0.0027736458,"threshold_uncertainty_score":0.23758918},"labels":[],"label_agreement":null},{"id":"W2972098831","doi":"10.35120/kij280189t","title":"AN EMPIRICAL INVESTIGATION OF SELECTED FACTORS DETERMINING THE LABOUR PRODUCTIVITY IN MACEDONIA","year":2018,"lang":"en","type":"article","venue":"Knowledge International Journal","topic":"Economic Growth and Productivity","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":"Productivity; Standard of living; Economics; Labour economics; Workforce; Production (economics); Goods and services; Order (exchange); Unemployment; Quarter (Canadian coin); Demographic economics; Economic growth; Economy; Macroeconomics; Geography; Market economy","score_opus":0.05056930661324684,"score_gpt":0.2985939698396811,"score_spread":0.2480246632264343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972098831","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":[0.99587643,0.00068610586,0.000055635508,0.00024003329,0.000013946573,0.000017333616,0.00050789956,0.0000029523048,0.0025997064],"genre_scores_gemma":[0.9979424,0.00044963753,0.00007137999,0.000058935613,0.000010797837,0.000020410516,0.00047829124,0.0000019520114,0.0009662039],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934715,0.00012529767,0.000078156045,0.000084144944,0.00013037173,0.00023497458],"domain_scores_gemma":[0.99780124,0.0008840053,0.0005764966,0.00010615926,0.00033147557,0.00030057138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010650901,0.0003555064,0.00042238022,0.001985922,0.0010982906,0.0016328334,0.00086876046,0.00039895537,0.00430259],"category_scores_gemma":[0.004690839,0.00028646272,0.00064877194,0.0027958665,0.0007685825,0.0006010414,0.0012067604,0.0007845699,0.0007850597],"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":[0.000040687508,0.00006944121,0.9851833,0.00014052656,0.000090074755,0.00055772095,0.005071271,0.00018825884,0.00014117561,0.0005666599,0.001141811,0.0068091573],"study_design_scores_gemma":[0.0000016630587,0.000024240542,0.9884575,0.00010961935,0.000023200299,0.00005772046,0.009554193,0.00020397163,0.000026785407,0.00005248631,0.0014833895,0.0000052304645],"about_ca_topic_score_codex":0.10998951,"about_ca_topic_score_gemma":0.10493501,"teacher_disagreement_score":0.10998951,"about_ca_system_score_codex":0.0025836746,"about_ca_system_score_gemma":0.0020221553,"threshold_uncertainty_score":0.21869862},"labels":[],"label_agreement":null},{"id":"W2973123016","doi":"10.3917/amx.066.0171","title":"Réflexion sur la croissance économique chinoise sur le long terme : 1952-2014. Pour un passage de l’étude de la contribution des facteurs à l’analyse marxiste du taux de profit","year":2019,"lang":"fr","type":"article","venue":"Actuel Marx","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Francophone University Association","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.014783386790721336,"score_gpt":0.2100620530930525,"score_spread":0.19527866630233118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973123016","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":[0.889337,0.02876316,0.006178814,0.007752549,0.0003025349,0.000044845336,0.009668412,0.000055969216,0.05789664],"genre_scores_gemma":[0.9738428,0.007720086,0.0008224065,0.00021344441,0.00013735595,0.000032189593,0.0019504909,0.000027296062,0.0152538875],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99951184,0.00006680565,0.000035123656,0.00012954195,0.0001871516,0.00006942854],"domain_scores_gemma":[0.998099,0.00067081023,0.0005154404,0.00014520617,0.00044597086,0.00012362216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016313717,0.00020994614,0.0002972086,0.002858943,0.0006897739,0.0015192305,0.00027746745,0.00031960953,0.005013119],"category_scores_gemma":[0.004309725,0.00013173738,0.00034565612,0.005975845,0.0011747971,0.0014500535,0.0011257023,0.0008775276,0.00043351908],"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":[0.00045434237,0.000040280094,0.5534354,0.0008720387,0.0005753458,0.0005396767,0.028471353,0.0031100842,0.0024878713,0.1945495,0.0125289485,0.20293513],"study_design_scores_gemma":[0.000008490407,0.000082173465,0.82181007,0.00037479942,0.0001418075,0.00017661817,0.0058054673,0.00086003664,0.0020204089,0.011334284,0.1573267,0.000059161706],"about_ca_topic_score_codex":0.11393271,"about_ca_topic_score_gemma":0.13155559,"teacher_disagreement_score":0.11393271,"about_ca_system_score_codex":0.0034517648,"about_ca_system_score_gemma":0.0024336074,"threshold_uncertainty_score":0.22653908},"labels":[],"label_agreement":null},{"id":"W2974597808","doi":"10.5539/ibr.v12n10p75","title":"The Growth Conundrum: Paul Romer’s Endogenous Growth","year":2019,"lang":"en","type":"article","venue":"International Business Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Romer; Economics; Endogenous growth theory; Endogeneity; Technological change; Externality; Incentive; Neoclassical economics; Productivity; Per capita; Human capital; Economic system; Microeconomics; Market economy; Economic growth; Macroeconomics; Sociology","score_opus":0.10393705260900403,"score_gpt":0.2917971846607781,"score_spread":0.18786013205177404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974597808","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0170064,0.08285014,0.06423696,0.5761724,0.0040975944,0.00006314686,0.0003311904,0.00018731471,0.25505492],"genre_scores_gemma":[0.6873395,0.117042005,0.034820825,0.05441494,0.016448546,0.00029930525,0.00029237996,0.0004165949,0.08892585],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99790263,0.0008843511,0.0000714003,0.0005124984,0.0004683741,0.00016082573],"domain_scores_gemma":[0.9942287,0.0038784554,0.00041516978,0.00058318005,0.0006348082,0.00025969674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035720363,0.0008237754,0.0007621871,0.0018640697,0.0016018846,0.005174523,0.0011061254,0.004162046,0.0020873642],"category_scores_gemma":[0.0076376586,0.0003681498,0.00087705743,0.0020684798,0.012585552,0.010320761,0.0035281212,0.0063068173,0.0010448985],"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":[0.000007841347,0.000010990312,0.00015167217,0.000038599115,0.0000038447542,0.000040290895,0.0002620463,0.00072920736,0.00003621493,0.9810089,0.011845226,0.005865099],"study_design_scores_gemma":[0.000011502965,0.000011545332,0.0001871277,0.00012994472,0.0000047681488,0.00007232809,0.00013259311,0.0017615557,0.00014248585,0.88895124,0.108576305,0.000018501454],"about_ca_topic_score_codex":0.0042897556,"about_ca_topic_score_gemma":0.0019827227,"teacher_disagreement_score":0.005174523,"about_ca_system_score_codex":0.0046601235,"about_ca_system_score_gemma":0.0027863903,"threshold_uncertainty_score":0.033811748},"labels":[],"label_agreement":null},{"id":"W2975987069","doi":"10.5539/jas.v11n17p75","title":"Technology Implication of Agricultural Sectors in China: A CGE Analysis Based on CHINAGEM Model","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computable general equilibrium; Agriculture; Economics; Food security; Investment (military); General equilibrium theory; China; Agricultural economics; Agricultural productivity; Natural resource economics; Macroeconomics","score_opus":0.009646420237897722,"score_gpt":0.19976398957801186,"score_spread":0.19011756934011415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975987069","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":[0.79723054,0.001605959,0.12804458,0.0033469321,0.00011779941,0.00015089696,0.0033978606,0.00031182187,0.06579354],"genre_scores_gemma":[0.98543036,0.000732859,0.0038617817,0.00008720275,0.000026290154,0.00007975265,0.00062662753,0.000033754135,0.009121409],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997998,0.00005606009,0.000009084923,0.000048559155,0.000028994196,0.000057634523],"domain_scores_gemma":[0.99970216,0.00013112354,0.00004822027,0.000016661063,0.00006811506,0.00003359451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045910059,0.00060915196,0.000766849,0.00101614,0.0005885429,0.0014756065,0.0011304645,0.0012842275,0.0063771736],"category_scores_gemma":[0.0010615264,0.00036284182,0.0012554324,0.0013634138,0.0005687084,0.0015416677,0.0008060045,0.0006778128,0.00028616216],"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":[0.000019622392,0.000015909076,0.0026212325,0.000027875109,0.000024351202,0.00017139349,0.000036602232,0.9765271,0.00028956117,0.017099645,0.00072893343,0.0024378146],"study_design_scores_gemma":[0.00001939928,0.000014595245,0.0013666,0.0000057134657,0.000023605671,0.000018569663,0.00003805443,0.9901607,0.00006719725,0.0073509538,0.00092572416,0.000008861172],"about_ca_topic_score_codex":0.086243704,"about_ca_topic_score_gemma":0.029798284,"teacher_disagreement_score":0.086243704,"about_ca_system_score_codex":0.0021067776,"about_ca_system_score_gemma":0.002090813,"threshold_uncertainty_score":0.1714834},"labels":[],"label_agreement":null},{"id":"W2977758014","doi":"10.12783/dtssehs/aems2018/28011","title":"Roadblocks to US Higher Education Access and Influence on US Long-term Economic Growth","year":2019,"lang":"en","type":"article","venue":"DEStech Transactions on Social Science Education and Human Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Term (time); College education; Higher education; Demographic economics; Economics; Political science; Economic growth; Psychology","score_opus":0.03753074778562723,"score_gpt":0.31429618302101353,"score_spread":0.2767654352353863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977758014","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":[0.74994844,0.007865573,0.0007794429,0.09826475,0.0002545435,0.00001563279,0.0021213405,0.000089865745,0.14066046],"genre_scores_gemma":[0.9935202,0.0011668558,0.00009553057,0.0015173019,0.00012682157,0.0000039932615,0.0002229797,0.000015626141,0.0033306726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895704,0.00033917435,0.000046340007,0.000085947424,0.00023050726,0.00034100458],"domain_scores_gemma":[0.99244326,0.00210907,0.0014394074,0.00022592327,0.0016019129,0.0021803991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021752547,0.00010842608,0.00018975415,0.0011886202,0.00076185196,0.0035973557,0.00026385495,0.0005461567,0.009988313],"category_scores_gemma":[0.00892833,0.000076829834,0.0002099946,0.001963724,0.0008561131,0.0014103216,0.0022831932,0.0013783822,0.00073251454],"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":[0.00042917702,0.0003717462,0.6266139,0.00011780042,0.00006479718,0.00035972954,0.0020312048,0.0017787418,0.00085493637,0.12032244,0.046198368,0.20085715],"study_design_scores_gemma":[0.000016657415,0.00006912548,0.89766544,0.0002761941,0.00003450585,0.00012405029,0.0042777685,0.0016340842,0.0006223899,0.026448531,0.06879709,0.00003430413],"about_ca_topic_score_codex":0.06832691,"about_ca_topic_score_gemma":0.08388603,"teacher_disagreement_score":0.06832691,"about_ca_system_score_codex":0.0020067014,"about_ca_system_score_gemma":0.0022069844,"threshold_uncertainty_score":0.13585842},"labels":[],"label_agreement":null},{"id":"W2982415487","doi":"10.60770/x88w-kr45","title":"Does a recession affect millennials' career expectations?","year":2017,"lang":"en","type":"dissertation","venue":"Mount Royal University Institutional Repository (Mount Royal University)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Affect (linguistics); Recession; Psychology; Demographic economics; Social psychology; Labour economics; Sociology; Economics; Keynesian economics; Communication","score_opus":0.01599339493935147,"score_gpt":0.1925456174997217,"score_spread":0.17655222256037023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982415487","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":[0.9910183,0.0007879534,0.000058756432,0.00338005,0.000034916236,0.0000058653504,0.00014053193,0.0000022980282,0.004571239],"genre_scores_gemma":[0.99786156,0.000532907,0.000032979806,0.0002753098,0.000012812249,0.0000038094045,0.00011458138,0.000002036124,0.0011641353],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943405,0.00011199727,0.000020326273,0.000042946187,0.00015124313,0.0002394462],"domain_scores_gemma":[0.99673814,0.00039718096,0.0007888799,0.000045674653,0.0003521816,0.0016780171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017911966,0.00012137604,0.00023913536,0.0004810477,0.0014366433,0.001979519,0.00041589202,0.00050104794,0.0044581676],"category_scores_gemma":[0.004449947,0.00014371547,0.00024000701,0.00054739893,0.00055487454,0.00067356724,0.0012438281,0.0015127136,0.00043864187],"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":[0.00012529094,0.00017164483,0.9407103,0.000056982455,0.00003197057,0.00023515163,0.024443848,0.0001309806,0.00030181714,0.0008050649,0.0033214632,0.029665437],"study_design_scores_gemma":[0.0000026905095,0.00005310326,0.9677287,0.000053060026,0.0000070289725,0.000044034517,0.028445212,0.00011099083,0.000039356288,0.00018256414,0.0033229778,0.000010348971],"about_ca_topic_score_codex":0.09844934,"about_ca_topic_score_gemma":0.1915972,"teacher_disagreement_score":0.09844934,"about_ca_system_score_codex":0.0021466194,"about_ca_system_score_gemma":0.0028145888,"threshold_uncertainty_score":0.19575262},"labels":[],"label_agreement":null},{"id":"W2982454100","doi":"10.1007/s40847-019-00088-8","title":"Endogenous growth model of a labour-abundant and land-scarce economy","year":2019,"lang":"en","type":"article","venue":"Journal of Social and Economic Development","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"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":"Economics; Human capital; Population growth; Population; Agricultural productivity; Gross domestic product; Physical capital; Distributed lag; Per capita; Agriculture; Macroeconomics; Economic growth; Econometrics; Ecology; Biology","score_opus":0.0359373616297055,"score_gpt":0.19380370051145157,"score_spread":0.15786633888174606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982454100","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":[0.54267734,0.004353431,0.23200649,0.042021826,0.0008425618,0.00031599886,0.010869269,0.0008459108,0.16606714],"genre_scores_gemma":[0.8785997,0.0022313057,0.0058716647,0.0004908428,0.00027179054,0.00015399356,0.0008995095,0.00008880783,0.1113925],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993968,0.0002011405,0.000031243893,0.0001531611,0.0000706376,0.0001470571],"domain_scores_gemma":[0.99768984,0.0011094789,0.00043784874,0.00008978543,0.0002698272,0.0004032505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00157851,0.00095566595,0.0025603618,0.001312819,0.0013183578,0.004835342,0.0035356595,0.005097344,0.019779813],"category_scores_gemma":[0.003555417,0.0008706553,0.0013907519,0.0022945078,0.0029536379,0.0031610741,0.0025722026,0.0024817546,0.0026259255],"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":[0.00022359587,0.00018993064,0.0024918243,0.00021948096,0.000098373406,0.000907184,0.0003499726,0.61313266,0.00102382,0.37010568,0.0059062145,0.0053512477],"study_design_scores_gemma":[0.00022844398,0.00009281999,0.0012737305,0.000041313368,0.000067580164,0.00018021841,0.0003123074,0.90175545,0.00015996414,0.09150571,0.004331681,0.000050681523],"about_ca_topic_score_codex":0.034283582,"about_ca_topic_score_gemma":0.020151773,"teacher_disagreement_score":0.034283582,"about_ca_system_score_codex":0.0034751117,"about_ca_system_score_gemma":0.0033960636,"threshold_uncertainty_score":0.068168044},"labels":[],"label_agreement":null},{"id":"W2989625480","doi":"","title":"The Stylized Facts about Slower Productivity Growth in Canada","year":2018,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Total factor productivity; Stylized fact; Economics; Slowdown; Productivity; Multifactor productivity; Growth accounting; Labour economics; Technological change; Technical progress; Macroeconomics; Economic growth","score_opus":0.018986989802563588,"score_gpt":0.21713602340396998,"score_spread":0.1981490336014064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989625480","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":[0.343307,0.016046733,0.014407138,0.047474347,0.0005637401,0.00020627098,0.10100795,0.0011618256,0.47582504],"genre_scores_gemma":[0.9377917,0.010552923,0.003064886,0.0013300739,0.000106938,0.000052470954,0.011878137,0.00009904542,0.03512368],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989028,0.00003940349,0.00004835161,0.00015710568,0.00043354512,0.00041879687],"domain_scores_gemma":[0.99794716,0.00040860666,0.0004326925,0.00011857029,0.000976319,0.000116637326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000673213,0.00048071748,0.00038706668,0.0021392757,0.0023680315,0.0028234385,0.00056853145,0.0005222131,0.008643712],"category_scores_gemma":[0.004802074,0.00023961854,0.000569985,0.00754432,0.0011690903,0.0009620526,0.0009641144,0.0014424106,0.0007347896],"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":[0.00034098423,0.000038628827,0.21262692,0.0010116749,0.00019819319,0.0022922123,0.005719374,0.039427184,0.0026422811,0.4088213,0.1958418,0.1310393],"study_design_scores_gemma":[0.000071028386,0.000052733092,0.6244434,0.00044173776,0.00012441262,0.00080422143,0.0030680958,0.022476263,0.0022922584,0.04669747,0.29934272,0.00018563608],"about_ca_topic_score_codex":0.986421,"about_ca_topic_score_gemma":0.9868895,"teacher_disagreement_score":0.027738191,"about_ca_system_score_codex":0.027738191,"about_ca_system_score_gemma":0.022412771,"threshold_uncertainty_score":0.20125562},"labels":[],"label_agreement":null},{"id":"W2990365939","doi":"10.2139/ssrn.3459775","title":"Are Markups Too High? Competition, Strategic Innovation, and Industry Dynamics *","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Industrial organization; Competition (biology); Economics; Dynamics (music); Business; Economic geography","score_opus":0.016018226227098167,"score_gpt":0.19647198047579925,"score_spread":0.18045375424870108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990365939","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":[0.93911844,0.0041925814,0.0029837645,0.023556318,0.00014581291,0.000012390965,0.00025874135,0.000047650694,0.029684447],"genre_scores_gemma":[0.99819607,0.00049292186,0.00013559328,0.00026727634,0.00011729384,0.0000022057645,0.00003264789,0.000003215545,0.00075277966],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99925214,0.00021374189,0.000045093064,0.00015475033,0.00014600417,0.00018811027],"domain_scores_gemma":[0.97597855,0.0153429,0.0057420735,0.0004933948,0.00082638435,0.0016165802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002035831,0.00017333246,0.0006132793,0.00096384395,0.0006280581,0.0043499856,0.00048225568,0.0019275654,0.008612282],"category_scores_gemma":[0.017541282,0.000179654,0.00025053957,0.0014523559,0.0020271325,0.00366113,0.0006157115,0.0012795574,0.0008659991],"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":[0.0013811152,0.0005158299,0.52580875,0.0004722846,0.00041260174,0.0018225496,0.0016419577,0.00864387,0.005385428,0.26392892,0.016372152,0.1736145],"study_design_scores_gemma":[0.000117142954,0.000483605,0.37538436,0.00021093678,0.00023209085,0.0010966382,0.005734395,0.025840627,0.002517483,0.57667136,0.011597433,0.00011384927],"about_ca_topic_score_codex":0.0020372788,"about_ca_topic_score_gemma":0.0026180856,"teacher_disagreement_score":0.008612282,"about_ca_system_score_codex":0.0008874886,"about_ca_system_score_gemma":0.0005506061,"threshold_uncertainty_score":0.028810918},"labels":[],"label_agreement":null},{"id":"W2991957034","doi":"10.1287/isre.2019.0855","title":"The Strategic Value of Information Technology in Setting Productive Capacity","year":2019,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Capacity utilization; Capital (architecture); Physical capital; Economics; Investment (military); Capital intensity; Microeconomics; Production (economics); Capital deepening; Value (mathematics); Yield (engineering); Financial capital; Fixed capital; Cost of capital; Economic capital; Industrial organization; Fixed investment; Business; Capital formation; Market economy; Human capital; Computer science; Incentive","score_opus":0.06417145042533025,"score_gpt":0.2746952232026545,"score_spread":0.21052377277732426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991957034","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":[0.47040087,0.0040158,0.12812471,0.011960913,0.0003277827,0.00016005962,0.00037279679,0.00019170143,0.38444537],"genre_scores_gemma":[0.9937285,0.0005897536,0.0037985377,0.00018390761,0.000044621964,0.000026282582,0.000031462703,0.0000119597435,0.0015848967],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979184,0.00092125044,0.000098535194,0.00018385725,0.00040761818,0.0004703883],"domain_scores_gemma":[0.9865022,0.008370265,0.0019312182,0.00093066564,0.0012160218,0.0010496217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025245142,0.00066829304,0.00036716228,0.0018555059,0.0011060106,0.0066529578,0.0008338689,0.0017814458,0.0061272425],"category_scores_gemma":[0.01578554,0.00035165847,0.0005047926,0.0027045193,0.0051585343,0.00926958,0.0032499249,0.0017338746,0.0007566711],"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":[0.00017108841,0.00009905314,0.020107925,0.00029138473,0.00010624448,0.0005942763,0.0009158927,0.062379934,0.0027330793,0.86694396,0.0024672882,0.043189973],"study_design_scores_gemma":[0.000081351354,0.00030610713,0.014448499,0.00041291313,0.00015383778,0.0007645482,0.004709183,0.062967844,0.006047264,0.8736539,0.03633185,0.00012275971],"about_ca_topic_score_codex":0.0030163815,"about_ca_topic_score_gemma":0.003405162,"teacher_disagreement_score":0.0066529578,"about_ca_system_score_codex":0.0033782914,"about_ca_system_score_gemma":0.0035946374,"threshold_uncertainty_score":0.024511278},"labels":[],"label_agreement":null},{"id":"W2992840222","doi":"10.7202/012845ar","title":"Le contre-choc de la « nouvelle économie »","year":2006,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.018028477665618776,"score_gpt":0.1981135397085802,"score_spread":0.18008506204296143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992840222","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09576755,0.03202235,0.011673261,0.25745726,0.0016002521,0.000048249654,0.00036594822,0.00010598088,0.6009592],"genre_scores_gemma":[0.81699103,0.022710185,0.004856074,0.0199835,0.0018376557,0.00010979166,0.00020582955,0.0001254926,0.13318053],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961991,0.001255345,0.00012864187,0.00069220836,0.0011487189,0.00057604647],"domain_scores_gemma":[0.991755,0.004542876,0.0012520974,0.00076060975,0.0012822682,0.0004070664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033132588,0.0004020812,0.00036008868,0.0017033184,0.0034693484,0.010355722,0.0008445483,0.0031795746,0.01236028],"category_scores_gemma":[0.00842792,0.00027274608,0.00057073036,0.0023047086,0.0077988454,0.007669517,0.0028105099,0.005062801,0.0015881236],"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":[0.000045440393,0.000030181942,0.0043607038,0.00017427476,0.000024129367,0.00012839973,0.0039946577,0.000393484,0.00042111494,0.944396,0.013868772,0.03216272],"study_design_scores_gemma":[0.000028306185,0.000087795284,0.027196147,0.0007781447,0.00004989446,0.00041473084,0.008677724,0.0008994987,0.0014748296,0.18470459,0.77562624,0.000062106505],"about_ca_topic_score_codex":0.024316423,"about_ca_topic_score_gemma":0.03548087,"teacher_disagreement_score":0.024316423,"about_ca_system_score_codex":0.006005656,"about_ca_system_score_gemma":0.005253917,"threshold_uncertainty_score":0.048349798},"labels":[],"label_agreement":null},{"id":"W2994285309","doi":"","title":"Learning-Driven Product Cycles, New Product Adoption and North-South Inequality","year":2002,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Winnipeg","funders":"","keywords":"Obsolescence; Product (mathematics); Pace; Inequality; Economics; Wage inequality; Wage; Product innovation; New product development; Production (economics); Labour economics; Industrial organization; Microeconomics; Business; Marketing; Geography; Management; Mathematics","score_opus":0.06383477753041236,"score_gpt":0.20773402506343278,"score_spread":0.1438992475330204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994285309","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":[0.98788774,0.0003572363,0.005552622,0.0002940556,0.0000028333845,0.0000065179,0.00008199096,0.000005553797,0.0058114966],"genre_scores_gemma":[0.9992107,0.00010337652,0.00021617822,0.000012630415,0.0000038429703,0.000003125171,0.000023271577,0.0000012396703,0.00042561826],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9999082,0.000026884838,0.000004575169,0.000018865116,0.000014280227,0.000027147482],"domain_scores_gemma":[0.99833435,0.00073793926,0.00065243506,0.00008646242,0.00007517883,0.00011368825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038392152,0.000116726405,0.00016939717,0.00045463783,0.00023399811,0.0006840335,0.00018927023,0.00027904726,0.0028313315],"category_scores_gemma":[0.0025694794,0.00008193909,0.00017090667,0.0006292156,0.00061941525,0.0008637297,0.000518404,0.00031333283,0.00009767544],"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":[0.00054121244,0.00022498054,0.6097131,0.00010080422,0.00013259238,0.0003966978,0.0009788529,0.149099,0.0038423305,0.17024466,0.0011148363,0.063611],"study_design_scores_gemma":[0.00004478536,0.00009133434,0.6080815,0.000043543365,0.000041749085,0.00014881461,0.0006853493,0.15321192,0.000977864,0.23268901,0.003959213,0.000024871693],"about_ca_topic_score_codex":0.0052949036,"about_ca_topic_score_gemma":0.006534357,"teacher_disagreement_score":0.0052949036,"about_ca_system_score_codex":0.0006021931,"about_ca_system_score_gemma":0.00023277581,"threshold_uncertainty_score":0.010528147},"labels":[],"label_agreement":null},{"id":"W2995555599","doi":"10.35188/unu-wider/2018/446-9","title":"Fiscal pressure of migration and horizontal fiscal inequality","year":2018,"lang":"en","type":"book","venue":"Working Paper Series","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Inequality; Economics; Fiscal policy; Keynesian economics; Mathematics; Mathematical analysis","score_opus":0.02752894867161142,"score_gpt":0.2045073974897156,"score_spread":0.17697844881810418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995555599","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":[0.91590106,0.0017408374,0.00080326793,0.0034929223,0.000050012022,0.000006194503,0.0005133964,0.000021641941,0.077470705],"genre_scores_gemma":[0.9972378,0.0005372577,0.000091793554,0.00008351659,0.000030695686,0.0000028014292,0.00013037825,0.0000035100552,0.0018822774],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996444,0.00007093435,0.000014608313,0.00003322274,0.000054139266,0.00018269391],"domain_scores_gemma":[0.9990602,0.00019820232,0.00041031733,0.000052168012,0.00016027005,0.00011878758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036875624,0.00011168398,0.00012852653,0.00087154296,0.0006773017,0.0013757469,0.0001687385,0.00015022968,0.0074360087],"category_scores_gemma":[0.0021826178,0.00006158197,0.00013884794,0.002035302,0.0009723902,0.0009093332,0.0014647886,0.00059239793,0.00047852777],"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":[0.00035952314,0.00011057327,0.6773788,0.00015095512,0.00008728434,0.0004715713,0.004694683,0.0033155382,0.0009572638,0.15397124,0.0096750595,0.14882754],"study_design_scores_gemma":[0.0000152458615,0.00006127757,0.92632955,0.00026108554,0.00003763813,0.00032597216,0.009646156,0.0018051225,0.00057612045,0.03792409,0.02299893,0.000018819235],"about_ca_topic_score_codex":0.01225785,"about_ca_topic_score_gemma":0.0144595355,"teacher_disagreement_score":0.01225785,"about_ca_system_score_codex":0.00087911775,"about_ca_system_score_gemma":0.0008244024,"threshold_uncertainty_score":0.024875939},"labels":[],"label_agreement":null},{"id":"W2998299501","doi":"10.5267/j.ac.2019.12.005","title":"The interactive relationship between credit growth and profitability of people's credit funds in Vietnam","year":2020,"lang":"en","type":"article","venue":"Accounting","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Business; Financial system; Finance","score_opus":0.04452508886959795,"score_gpt":0.2366145767446665,"score_spread":0.19208948787506855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998299501","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":[0.99879694,0.00006559395,0.000022077924,0.00015573356,0.0000017348333,0.0000014837374,0.00012942881,0.0000010066072,0.0008260054],"genre_scores_gemma":[0.9997125,0.00003796797,0.000010733129,0.0000066837065,0.0000015638287,8.639231e-7,0.000065323504,2.691025e-7,0.00016404469],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999788,0.00005167792,0.000014285361,0.00002864298,0.000035495363,0.00008187242],"domain_scores_gemma":[0.99858415,0.00041746598,0.00044559845,0.000031095027,0.00022782774,0.00029390966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002860607,0.00007299363,0.00010092127,0.00047406167,0.00022322664,0.00064480526,0.000103970844,0.00012477311,0.0011511538],"category_scores_gemma":[0.0016164284,0.000067470595,0.00011238885,0.00063381915,0.00028677835,0.0004283297,0.00034293297,0.00030594395,0.00007265979],"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":[0.000016703822,0.000012986959,0.99569786,0.0000074357954,0.00000815733,0.00015320856,0.0005997917,0.00016779939,0.00008745894,0.00024331338,0.00017007635,0.0028352062],"study_design_scores_gemma":[0.0000011503682,0.000012702566,0.9970708,0.000008465228,0.0000042794222,0.00007342758,0.001632205,0.00045856868,0.000044027085,0.00011098405,0.00058105064,0.0000022918332],"about_ca_topic_score_codex":0.06443347,"about_ca_topic_score_gemma":0.0703161,"teacher_disagreement_score":0.06443347,"about_ca_system_score_codex":0.0008648427,"about_ca_system_score_gemma":0.0008574761,"threshold_uncertainty_score":0.12811685},"labels":[],"label_agreement":null},{"id":"W3002218615","doi":"","title":"Is R&D Enough in Improving Firm Productivity?","year":2019,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Industrial organization; Business; Workforce; Economics; Economic growth","score_opus":0.02385316969291126,"score_gpt":0.22959549786834244,"score_spread":0.20574232817543117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002218615","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32332557,0.13134657,0.015511098,0.3332921,0.0015104649,0.00013248203,0.0023853646,0.00040972562,0.19208664],"genre_scores_gemma":[0.95438904,0.028737163,0.0025641003,0.008683443,0.00089055893,0.000026503229,0.00032723576,0.000050085313,0.0043318532],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9943915,0.0015407524,0.00032220213,0.0008882582,0.001532423,0.0013249412],"domain_scores_gemma":[0.971949,0.013089833,0.007207497,0.0023179038,0.003427424,0.002008308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006970767,0.00054398534,0.0009861384,0.0019930464,0.00085896574,0.005701848,0.0010401173,0.0026047037,0.008068728],"category_scores_gemma":[0.031425383,0.0003146932,0.0011833508,0.003942601,0.0033781854,0.006257158,0.0015728732,0.0017270098,0.0029182618],"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":[0.00067883555,0.00054341834,0.25042272,0.0031666753,0.0011332792,0.00090236426,0.0007593869,0.008177929,0.0040043085,0.21096657,0.03793355,0.48131102],"study_design_scores_gemma":[0.00043358313,0.0006926901,0.4759281,0.0042545185,0.0018617057,0.0011810856,0.0046476442,0.0056763575,0.010119011,0.20928706,0.28574523,0.00017296968],"about_ca_topic_score_codex":0.020950118,"about_ca_topic_score_gemma":0.015356599,"teacher_disagreement_score":0.020950118,"about_ca_system_score_codex":0.005209815,"about_ca_system_score_gemma":0.0060977465,"threshold_uncertainty_score":0.041656315},"labels":[],"label_agreement":null},{"id":"W3002326941","doi":"","title":"Consistency Issues in the Construction of Annual and Quarterly Productivity Indices","year":2019,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Consistency (knowledge bases); Productivity; Index (typography); Publication; Economics; Econometrics; Perspective (graphical); Statistics; Macroeconomics; Mathematics; Computer science; Business","score_opus":0.013599904779911298,"score_gpt":0.2284943893316254,"score_spread":0.21489448455171412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002326941","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":[0.067550704,0.006511499,0.8579432,0.007461783,0.0031542056,0.0008327178,0.0044501075,0.0013081488,0.050787777],"genre_scores_gemma":[0.45257697,0.0025493598,0.5237312,0.0021395755,0.002444445,0.0025490778,0.005666497,0.0014684731,0.0068744086],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.89682263,0.055591617,0.01641058,0.010795247,0.01875564,0.0016241905],"domain_scores_gemma":[0.6897791,0.19518365,0.023007307,0.054247275,0.036905043,0.0008775345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.11472822,0.00083083636,0.0017941052,0.005509107,0.0013235694,0.009961909,0.004324372,0.0017908674,0.0033415284],"category_scores_gemma":[0.37784076,0.0014094898,0.0013241884,0.011149532,0.0038273532,0.0066227266,0.004466757,0.0046580406,0.0021940616],"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":[0.0005821789,0.00023771761,0.062324,0.0012321812,0.0006531119,0.00022729125,0.005269745,0.008087194,0.0023983067,0.63202524,0.0160003,0.27096274],"study_design_scores_gemma":[0.00026912524,0.00051911053,0.1388683,0.001980232,0.00032056056,0.000735996,0.0034199194,0.03415394,0.009778439,0.7037674,0.10582731,0.00035956487],"about_ca_topic_score_codex":0.0024444377,"about_ca_topic_score_gemma":0.001655286,"teacher_disagreement_score":0.11472822,"about_ca_system_score_codex":0.0017605945,"about_ca_system_score_gemma":0.002652304,"threshold_uncertainty_score":0.6067481},"labels":[],"label_agreement":null},{"id":"W3002961625","doi":"","title":"Educational Intensity and the Sources of, and Prospects for, U.S. Economic Growth","year":2019,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Workforce; Total factor productivity; Capital intensity; Productivity; Labour economics; Human capital; Capital (architecture); Demographic economics; Macroeconomics; Economic growth","score_opus":0.013647222181613832,"score_gpt":0.21617886041376955,"score_spread":0.20253163823215573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002961625","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":[0.98442763,0.00042112413,0.0007152624,0.001013932,0.000009632399,0.000007490253,0.0010067441,0.00001501762,0.012383253],"genre_scores_gemma":[0.9984372,0.00024475393,0.00012486035,0.000041097286,0.000018618166,0.0000031254926,0.0005956953,0.0000028503728,0.0005317855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997633,0.000051779352,0.000015082999,0.000023879398,0.000064435895,0.0000814487],"domain_scores_gemma":[0.99600047,0.0008222984,0.0018076363,0.00015722692,0.0005933365,0.00061905227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006879151,0.00016765163,0.00012073688,0.002454,0.0002600198,0.0009969035,0.00017388303,0.0001804814,0.0024918967],"category_scores_gemma":[0.0036321073,0.00009030596,0.00026642834,0.0029237666,0.00034870947,0.0006653661,0.0009876032,0.00066788966,0.00035753616],"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":[0.000050006125,0.000041478288,0.974865,0.000019887704,0.00004937087,0.000066657376,0.000290164,0.001550368,0.00023367199,0.0040543145,0.0011282782,0.017650679],"study_design_scores_gemma":[0.0000054908473,0.000024622123,0.9940258,0.000029270937,0.00002092915,0.000030493526,0.0003586516,0.0015413626,0.00023206472,0.0018072133,0.001919171,0.000004844057],"about_ca_topic_score_codex":0.014550833,"about_ca_topic_score_gemma":0.025687309,"teacher_disagreement_score":0.014550833,"about_ca_system_score_codex":0.0006224191,"about_ca_system_score_gemma":0.0005505626,"threshold_uncertainty_score":0.028932273},"labels":[],"label_agreement":null},{"id":"W3004099831","doi":"10.5267/j.msl.2020.1.012","title":"Impact of financial constraints on the development of Vietnam’s firms","year":2020,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Finance; Financial system","score_opus":0.03797665607670534,"score_gpt":0.2233398264928932,"score_spread":0.18536317041618786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004099831","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":[0.9931021,0.00079068367,0.00009913673,0.0011981968,0.000011875001,0.000007919326,0.0009987442,0.000005329485,0.003785962],"genre_scores_gemma":[0.9986852,0.00030150946,0.00002181727,0.000052436328,0.000008202601,0.000003034916,0.0004453215,0.000001486449,0.00048102197],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994836,0.000091690985,0.00003539914,0.000064075364,0.00006944617,0.00025576647],"domain_scores_gemma":[0.9961183,0.00076878926,0.0017078163,0.00007417503,0.00046386902,0.0008670794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006106537,0.00023446423,0.0002682436,0.0008109226,0.00052833935,0.0023217516,0.00030748177,0.00040291404,0.0032932907],"category_scores_gemma":[0.0033383903,0.00016866515,0.00024371593,0.0013177609,0.0004770201,0.0008612403,0.00096571725,0.000789442,0.00020643763],"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":[0.00009904749,0.000069484544,0.97899264,0.000068290996,0.000079842095,0.0013680401,0.00045397633,0.005162971,0.00038771448,0.0019886233,0.0019150587,0.009414336],"study_design_scores_gemma":[0.0000066835632,0.000054312663,0.9895928,0.00006314407,0.00002447737,0.00016728186,0.0022217885,0.0034303165,0.00030253473,0.00046617744,0.0036547773,0.000015561849],"about_ca_topic_score_codex":0.09034475,"about_ca_topic_score_gemma":0.070201494,"teacher_disagreement_score":0.09034475,"about_ca_system_score_codex":0.002124013,"about_ca_system_score_gemma":0.0020914157,"threshold_uncertainty_score":0.17963779},"labels":[],"label_agreement":null},{"id":"W3004107670","doi":"10.2139/ssrn.2209141","title":"A Cross Sectional Analysis of Clean Technology Winners by Country and Industry","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Dalhousie University","funders":"","keywords":"Cross-sectional study; Business; Cross country; Marketing; Economics; Statistics; International economics; Mathematics","score_opus":0.00788162516631519,"score_gpt":0.2075706532400364,"score_spread":0.19968902807372121,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004107670","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":[0.9969638,0.00011997486,0.00013943776,0.00005229091,0.000007646343,0.000013669275,0.0016541694,0.000009784431,0.001039167],"genre_scores_gemma":[0.99375653,0.000086723594,0.000082067236,0.000030699583,0.000016208614,0.000014744888,0.0028466317,0.0000066304683,0.0031597374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912316,0.00018551218,0.00007173718,0.0001777152,0.0001389401,0.00030287745],"domain_scores_gemma":[0.98856467,0.0030232207,0.0044567827,0.0005551718,0.00121694,0.002183047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014781555,0.00017922318,0.00037607175,0.0025161074,0.00048276872,0.0011369176,0.0005055115,0.0005491456,0.010488483],"category_scores_gemma":[0.0036476436,0.00026327948,0.0004913585,0.0022115991,0.00025257582,0.0008146623,0.0008840793,0.000702341,0.0019254348],"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":[0.00023314604,0.00015790261,0.9956649,0.000009562944,0.00014589156,0.000079543184,0.00012477755,0.00017077039,0.00018803132,0.00013827046,0.00066750945,0.0024196662],"study_design_scores_gemma":[0.000006028408,0.00018352426,0.9981165,0.000003425132,0.000051765397,0.00007653392,0.00063692353,0.00027513393,0.000089702095,0.000033894874,0.0005206426,0.000005887002],"about_ca_topic_score_codex":0.007875671,"about_ca_topic_score_gemma":0.008792763,"teacher_disagreement_score":0.010488483,"about_ca_system_score_codex":0.0002166847,"about_ca_system_score_gemma":0.0003614558,"threshold_uncertainty_score":0.035087466},"labels":[],"label_agreement":null},{"id":"W3004183787","doi":"10.5539/ijef.v12n2p94","title":"Empirical Research on the Investment Performance of Information and Communication Technology in China","year":2020,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Investment (military); Information and Communications Technology; Economics; Empirical research; Human capital; Return on investment; Panel data; Business; Economic growth; Macroeconomics; Political science; Production (economics)","score_opus":0.08137982198285813,"score_gpt":0.2917271240772581,"score_spread":0.21034730209439995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004183787","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":[0.9961093,0.00032013192,0.00022172139,0.00034890935,0.000005591165,0.000008776898,0.0004395727,0.0000067846613,0.002539296],"genre_scores_gemma":[0.99797815,0.00026545193,0.000062807005,0.00002179066,0.000005093501,0.000004899503,0.0006418628,0.0000016068536,0.0010183142],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995022,0.00008086437,0.000052775846,0.00007327347,0.00012783497,0.0001629999],"domain_scores_gemma":[0.9975235,0.0007110373,0.00090373866,0.00013772256,0.00039127798,0.0003327898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010360497,0.00028542624,0.00024763794,0.0013527612,0.0004051331,0.0011596002,0.0003642781,0.00031861043,0.0020171988],"category_scores_gemma":[0.0033639115,0.00017213984,0.0004282456,0.0033421698,0.0005191408,0.0009007136,0.0006219664,0.00047785928,0.00023155524],"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":[0.000024888797,0.00003424603,0.98547214,0.000039672403,0.00007432542,0.00015106774,0.00038147724,0.0038641412,0.00019238966,0.0021659054,0.00061433204,0.006985481],"study_design_scores_gemma":[0.000005451661,0.000028568747,0.988552,0.000024856514,0.000048855723,0.000034131648,0.00056741154,0.008237318,0.00027642326,0.00038895535,0.001828085,0.000008018032],"about_ca_topic_score_codex":0.07663254,"about_ca_topic_score_gemma":0.06413503,"teacher_disagreement_score":0.07663254,"about_ca_system_score_codex":0.0026511147,"about_ca_system_score_gemma":0.0025554104,"threshold_uncertainty_score":0.15237296},"labels":[],"label_agreement":null},{"id":"W3006295441","doi":"","title":"O sekulární stagnaci","year":2016,"lang":"en","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Economic Growth and Productivity","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":"Geography","score_opus":0.01143855765583024,"score_gpt":0.21020397976022615,"score_spread":0.1987654221043959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006295441","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2208127,0.03864223,0.051648304,0.023228422,0.0022107365,0.00022196885,0.0016182811,0.0008260076,0.66079134],"genre_scores_gemma":[0.91077566,0.015765825,0.009324015,0.0014908746,0.0010367765,0.000121046425,0.0009868388,0.00020217829,0.060296882],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991229,0.00025446375,0.00006076247,0.00018856979,0.00019159506,0.00018165701],"domain_scores_gemma":[0.9985556,0.00035715694,0.00035753573,0.0001488442,0.00037975656,0.00020105115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017184312,0.0005798051,0.0009402426,0.0022801657,0.0016842481,0.006044682,0.00056302163,0.0007193129,0.013253606],"category_scores_gemma":[0.0028862844,0.00020240156,0.0008871234,0.0030674213,0.0028410638,0.004126076,0.0031042679,0.0020378965,0.003325905],"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":[0.00009147846,0.000107891436,0.01051338,0.0006891805,0.000048059286,0.0004939974,0.0035606588,0.0021314838,0.0006055709,0.8637418,0.018081352,0.099935],"study_design_scores_gemma":[0.000041620686,0.00030720752,0.019441739,0.0010246296,0.0000730548,0.0012986287,0.004198484,0.005429655,0.0009727708,0.47263435,0.49451727,0.000060526447],"about_ca_topic_score_codex":0.0023713682,"about_ca_topic_score_gemma":0.0020548687,"teacher_disagreement_score":0.013253606,"about_ca_system_score_codex":0.0030430702,"about_ca_system_score_gemma":0.0033181156,"threshold_uncertainty_score":0.04433769},"labels":[],"label_agreement":null},{"id":"W3007314692","doi":"10.1111/roie.12473","title":"A new impetus for endogenous growth: R&amp;D offshoring via virtual labor mobility","year":2020,"lang":"en","type":"article","venue":"Review of International Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Offshoring; Economics; Endogenous growth theory; Labour economics; Growth rate; Outsourcing; Market economy; Business; Human capital","score_opus":0.06353061797772547,"score_gpt":0.24887068708233495,"score_spread":0.18534006910460948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007314692","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":[0.3085038,0.0028109227,0.4108066,0.018329792,0.00032000706,0.00012990499,0.0005075394,0.00035813742,0.2582334],"genre_scores_gemma":[0.9786174,0.00075176405,0.0072269384,0.00029526497,0.000055970588,0.00003685257,0.000024161012,0.000021140258,0.012970404],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99945134,0.00023271289,0.000017021734,0.00010743221,0.00008011622,0.000111390975],"domain_scores_gemma":[0.99878055,0.00043396588,0.00023450275,0.00019983239,0.00011228026,0.00023877218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009672978,0.00042484413,0.00049181795,0.00070273306,0.0012955299,0.002878489,0.0008475981,0.0017479839,0.011069111],"category_scores_gemma":[0.0020246105,0.00040377438,0.0009918531,0.00082019693,0.0037253932,0.003951519,0.0028224785,0.0017512519,0.0010980321],"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":[0.000084859596,0.00006899931,0.0022425638,0.00009643025,0.000028494918,0.00038516705,0.00023128821,0.041445505,0.0021416454,0.9383183,0.0018351931,0.013121576],"study_design_scores_gemma":[0.00012043386,0.00010985181,0.002469271,0.00010229359,0.000032258602,0.0003189645,0.00031082495,0.060910072,0.00106004,0.9111172,0.023407802,0.000040995536],"about_ca_topic_score_codex":0.003304702,"about_ca_topic_score_gemma":0.0023567718,"teacher_disagreement_score":0.011069111,"about_ca_system_score_codex":0.0020937088,"about_ca_system_score_gemma":0.0011080538,"threshold_uncertainty_score":0.037029862},"labels":[],"label_agreement":null},{"id":"W3007834525","doi":"","title":"Convergence or Polarization? 21st Century Interprovincial and Gender Based Distributional Variation in the Incomes, Ages and Education of Canadians","year":2020,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Inequality; Divergence (linguistics); Convergence (economics); Polarization (electrochemistry); Demographic economics; Economics; Distribution (mathematics); Economic geography; Von Neumann architecture; Econometrics; Geography; Economic growth; Mathematics","score_opus":0.03430732180365794,"score_gpt":0.2736636106612019,"score_spread":0.23935628885754393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007834525","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":[0.9339215,0.0013866446,0.0010124403,0.0059814705,0.000062287785,0.000016167822,0.00075151515,0.000022919161,0.056845184],"genre_scores_gemma":[0.9968003,0.00041501503,0.0002574735,0.00018107786,0.0000130851,0.0000031415266,0.00013726081,0.000009487847,0.0021831363],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873716,0.00012009373,0.00002009856,0.000200522,0.00035453239,0.00056754804],"domain_scores_gemma":[0.9981268,0.00027696008,0.00020458637,0.00017070145,0.00091440027,0.00030654672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020340416,0.00013138312,0.00037778195,0.0023944597,0.0060299854,0.0031020965,0.00070945744,0.00041165986,0.0038221409],"category_scores_gemma":[0.0044751624,0.00010863948,0.00024134576,0.0046448456,0.006317836,0.0018169855,0.0022827955,0.00096388796,0.00016429603],"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":[0.00029825774,0.00004964789,0.31888494,0.0001154293,0.000071991875,0.00057391153,0.18858495,0.0014302111,0.0016041184,0.30829448,0.014785167,0.16530682],"study_design_scores_gemma":[0.000006525563,0.00003459867,0.8066397,0.00014938253,0.000027195967,0.00018291947,0.11631988,0.0011848187,0.00042247883,0.022821266,0.052144453,0.00006681449],"about_ca_topic_score_codex":0.95170945,"about_ca_topic_score_gemma":0.95805925,"teacher_disagreement_score":0.04829055,"about_ca_system_score_codex":0.024726793,"about_ca_system_score_gemma":0.019226218,"threshold_uncertainty_score":0.17940629},"labels":[],"label_agreement":null},{"id":"W3009578769","doi":"10.1016/j.wdp.2020.100176","title":"Economic globalization and regional income convergence: Evidence from Latin America and the Caribbean","year":2020,"lang":"en","type":"article","venue":"World Development Perspectives","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"University of Manitoba; Acadia University","funders":"","keywords":"Convergence (economics); Latin Americans; Economics; Globalization; Capital (architecture); International economics; Capital flows; Development economics; International trade; Macroeconomics; Political science; Geography; Market economy","score_opus":0.036110779324549376,"score_gpt":0.22316521488451688,"score_spread":0.1870544355599675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009578769","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":[0.96284854,0.01251946,0.0001532699,0.0027526491,0.000023123128,0.000010310805,0.00037450434,0.0000048686816,0.021313373],"genre_scores_gemma":[0.9903306,0.008691195,0.000064705964,0.0001484922,0.00003294454,0.000008634532,0.00028032117,0.0000037889633,0.00043934747],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993012,0.00029462433,0.000037694797,0.00008316342,0.000086559936,0.00019672402],"domain_scores_gemma":[0.9933683,0.0026701577,0.0018552631,0.00033715524,0.0011734047,0.0005956467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020902536,0.00034104753,0.0005144106,0.0036436059,0.0010676511,0.002673381,0.00053761376,0.0004734017,0.0036788026],"category_scores_gemma":[0.008936071,0.0001638839,0.00047695736,0.009847652,0.0021285464,0.0016092461,0.0034490183,0.0007294154,0.0001523103],"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":[0.00035314326,0.00013388967,0.93435675,0.00038809414,0.00045370296,0.00065966195,0.011936502,0.0007645231,0.0002421993,0.011352363,0.0020020623,0.037357185],"study_design_scores_gemma":[0.00003045747,0.000040324583,0.95927626,0.00044252514,0.0003958571,0.00013294512,0.030544147,0.00022353708,0.00011773983,0.0022848998,0.0064964565,0.000014749128],"about_ca_topic_score_codex":0.106116086,"about_ca_topic_score_gemma":0.10742143,"teacher_disagreement_score":0.106116086,"about_ca_system_score_codex":0.0011892013,"about_ca_system_score_gemma":0.0015239698,"threshold_uncertainty_score":0.21099687},"labels":[],"label_agreement":null},{"id":"W3011082237","doi":"10.6000/1929-7092.2019.08.137","title":"Republics and Monarchies: A Differential Analysis of Economic Growth Link","year":2019,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Link (geometry); Differential (mechanical device); Economics; Monarchy; Mathematics; Political science; Physics; Law; Combinatorics","score_opus":0.0251657384350105,"score_gpt":0.24130543279304795,"score_spread":0.21613969435803745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011082237","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":[0.8235415,0.037316673,0.01993157,0.01966643,0.00037657272,0.000027413143,0.0010754467,0.00007996772,0.097984284],"genre_scores_gemma":[0.9864682,0.00624839,0.0005522445,0.00016173207,0.00020604668,0.000007547282,0.00016192235,0.000016417567,0.006177547],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99971324,0.00010603525,0.000011137633,0.00003974722,0.000045540568,0.0000843524],"domain_scores_gemma":[0.99727243,0.0016583505,0.0005656488,0.00011447704,0.00016308481,0.00022595105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008686751,0.00025312306,0.00066384376,0.0017474414,0.0005336684,0.002340453,0.0005803893,0.0006019997,0.0071941284],"category_scores_gemma":[0.004753805,0.00018903289,0.00065835414,0.0037431312,0.0015363152,0.0031345126,0.0016700529,0.0015992306,0.00026653506],"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":[0.00015077375,0.000036366422,0.030877622,0.00021091447,0.00017887076,0.00018541633,0.00095253595,0.009531081,0.00023035813,0.915147,0.0047471127,0.037751935],"study_design_scores_gemma":[0.00006976639,0.00010656432,0.16193712,0.00037966363,0.0003527918,0.0003307081,0.0035485453,0.048692327,0.0003311594,0.7326855,0.051508904,0.000056988825],"about_ca_topic_score_codex":0.010618944,"about_ca_topic_score_gemma":0.009830454,"teacher_disagreement_score":0.010618944,"about_ca_system_score_codex":0.0015091117,"about_ca_system_score_gemma":0.0007125577,"threshold_uncertainty_score":0.024066746},"labels":[],"label_agreement":null},{"id":"W3011887584","doi":"10.3390/math8030451","title":"Corporate Performance and Economic Convergence between Europe and the US: A Cluster Analysis Along Industry Lines","year":2020,"lang":"en","type":"article","venue":"Mathematics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bishop's University","funders":"Bishop's University","keywords":"Homogeneous; Convergence (economics); European union; Valuation (finance); Economic geography; Cluster (spacecraft); Business; Economic system; Economics; Economy; International trade; International economics; Accounting; Macroeconomics","score_opus":0.05804631707239961,"score_gpt":0.21055382969397282,"score_spread":0.15250751262157322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011887584","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":[0.9976666,0.00010801356,0.00054430054,0.000040202216,0.0000034106572,0.000011664763,0.00021113065,0.0000073819783,0.0014072566],"genre_scores_gemma":[0.99860305,0.000055016757,0.00044932394,0.000009176388,0.0000037593436,0.000009192645,0.0006766894,0.0000055095593,0.00018818001],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986071,0.00046307282,0.00013869812,0.00023527937,0.0002965393,0.00025932837],"domain_scores_gemma":[0.9943711,0.0020258536,0.001108494,0.00059601665,0.00150423,0.00039431674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021733535,0.00020331799,0.0004891404,0.006461821,0.0006026223,0.00154309,0.00028449515,0.00024984134,0.001508703],"category_scores_gemma":[0.007439473,0.00008623075,0.0005307331,0.006816294,0.0007112134,0.0006346962,0.001849307,0.00034659245,0.00022070084],"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":[0.00023667382,0.00007718972,0.9704706,0.000029478011,0.00036177746,0.00013427417,0.0022632908,0.002871664,0.00064156135,0.002525295,0.0008679783,0.019520147],"study_design_scores_gemma":[0.000009429021,0.000043619475,0.99035174,0.000025789002,0.00006191087,0.00008668509,0.0026190325,0.0043883557,0.0002851849,0.00073523965,0.0013815555,0.000011437375],"about_ca_topic_score_codex":0.010640225,"about_ca_topic_score_gemma":0.005609507,"teacher_disagreement_score":0.010640225,"about_ca_system_score_codex":0.00054353493,"about_ca_system_score_gemma":0.0005522362,"threshold_uncertainty_score":0.021156609},"labels":[],"label_agreement":null},{"id":"W3012488948","doi":"10.18414/ksz.2020.3.263","title":"A földrajzi árujelzők gazdaságtana – az empirikus bizonyítékok","year":2020,"lang":"hu","type":"article","venue":"Közgazdasági Szemle","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Humanities; Political science; Agricultural science; Business; Philosophy; Environmental science","score_opus":0.0682965155671146,"score_gpt":0.2162072331745394,"score_spread":0.1479107176074248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012488948","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":[0.08994413,0.014876651,0.008836714,0.046621677,0.002040614,0.00014440349,0.00097185496,0.0003437053,0.8362202],"genre_scores_gemma":[0.50169075,0.010894661,0.0060379915,0.007153518,0.00059681386,0.00018419567,0.0010024607,0.0005795877,0.47186005],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9976247,0.00044986812,0.00011146959,0.0004653822,0.0008411575,0.0005074677],"domain_scores_gemma":[0.9987445,0.00024358886,0.00013859448,0.00015885026,0.0004229706,0.00029144902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018826742,0.0006688789,0.0005955841,0.0012342128,0.0056735035,0.0127342185,0.0009973315,0.002360568,0.03589247],"category_scores_gemma":[0.0031073862,0.00035111912,0.0004980345,0.001993425,0.005036871,0.0044557597,0.0062355865,0.0047170594,0.010960233],"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":[0.00031475807,0.00025263295,0.013996144,0.000899879,0.00008927897,0.001298844,0.03440746,0.00073652907,0.005156846,0.6799693,0.09386831,0.16900998],"study_design_scores_gemma":[0.000012049588,0.000040744653,0.010097362,0.00042926433,0.000025355086,0.00025049428,0.010537141,0.0001900736,0.00094015803,0.033079743,0.94436234,0.000035264016],"about_ca_topic_score_codex":0.019931456,"about_ca_topic_score_gemma":0.034004115,"teacher_disagreement_score":0.03589247,"about_ca_system_score_codex":0.006415427,"about_ca_system_score_gemma":0.008787465,"threshold_uncertainty_score":0.120072246},"labels":[],"label_agreement":null},{"id":"W3021065740","doi":"10.3386/w13532","title":"Productivity and U.S. Macroeconomic Performance: Interpreting the Past and Predicting the Future with a Two-Sector Real Business Cycle Model","year":2007,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Science Foundation","keywords":"Business cycle; Productivity; Economics; Econometrics; Macroeconomics","score_opus":0.11013734447968668,"score_gpt":0.3660868715350887,"score_spread":0.25594952705540197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021065740","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":[0.8879214,0.0033501522,0.06204787,0.013233969,0.00034133944,0.000051750514,0.0081272675,0.00067772006,0.02424856],"genre_scores_gemma":[0.9900175,0.0014481533,0.0033316594,0.00020892492,0.00010561589,0.00003228936,0.0016417725,0.000036368983,0.003177773],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981743,0.00007464186,0.000009101361,0.00004924829,0.00001766995,0.000031966927],"domain_scores_gemma":[0.99890363,0.00058553985,0.00022554216,0.000094855546,0.00010009327,0.00009026061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011272433,0.000626848,0.0005031828,0.0011454287,0.00030975617,0.0026147123,0.0007382284,0.0015405604,0.0024909133],"category_scores_gemma":[0.0056696394,0.00038764533,0.00054812257,0.0018675696,0.00072435377,0.0016114984,0.00066522445,0.0013009543,0.0006213789],"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":[0.00016795885,0.000070499824,0.030899037,0.000051405772,0.00009651893,0.00017492162,0.00019874782,0.87984484,0.00018380223,0.068743445,0.0060579414,0.013510845],"study_design_scores_gemma":[0.000047804067,0.000047038167,0.0076528434,0.000028590719,0.000037203616,0.000042166826,0.00009830278,0.9376076,0.00008700917,0.050875727,0.003445711,0.000030108242],"about_ca_topic_score_codex":0.036180567,"about_ca_topic_score_gemma":0.015651088,"teacher_disagreement_score":0.036180567,"about_ca_system_score_codex":0.0015495856,"about_ca_system_score_gemma":0.00069561024,"threshold_uncertainty_score":0.071939945},"labels":[],"label_agreement":null},{"id":"W3021161031","doi":"10.3386/w20851","title":"Technology and Geography in the Second Industrial Revolution: New Evidence from the Margins of Trade","year":2015,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Industrial Revolution; Economic geography; Geography; Archaeology","score_opus":0.4271304452549926,"score_gpt":0.4125896238209556,"score_spread":0.01454082143403701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021161031","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":[0.93634313,0.014823811,0.0007166997,0.004804736,0.00005625303,0.00000853573,0.00053953595,0.000013657942,0.042693704],"genre_scores_gemma":[0.99651706,0.0021947932,0.0000691664,0.00016416833,0.00006809044,0.000003175425,0.0001818353,0.000008519089,0.00079313177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935716,0.00019543874,0.000031252548,0.00012451617,0.000121354955,0.00017032269],"domain_scores_gemma":[0.99158055,0.003016378,0.0032900483,0.0006999508,0.0007560806,0.0006570806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012126715,0.0002058519,0.00057674065,0.002705752,0.0010882864,0.0035260615,0.00043087162,0.00085768977,0.0060454844],"category_scores_gemma":[0.00643906,0.0001754616,0.0004249403,0.004884416,0.0048475,0.0025064347,0.0028864078,0.001215128,0.00064538565],"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":[0.0009959581,0.00021751723,0.76749027,0.00047839212,0.00039692374,0.0020776442,0.029083239,0.003784229,0.00090313674,0.10233434,0.006475695,0.08576275],"study_design_scores_gemma":[0.000060265276,0.000097125354,0.91554195,0.00029232365,0.00012604834,0.00027708363,0.018546619,0.0005591401,0.0002864157,0.025093287,0.0390821,0.00003779413],"about_ca_topic_score_codex":0.023185577,"about_ca_topic_score_gemma":0.01983671,"teacher_disagreement_score":0.023185577,"about_ca_system_score_codex":0.0013305474,"about_ca_system_score_gemma":0.00048116926,"threshold_uncertainty_score":0.046101272},"labels":[],"label_agreement":null},{"id":"W3022640458","doi":"10.1007/s10887-006-7404-5","title":"Rich Nations, Poor Nations: How Much Can Multiple Equilibria Explain?","year":2006,"lang":"en","type":"article","venue":"Journal of Economic Growth","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":130,"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; General equilibrium theory; Logarithm; Developing country; Quarter (Canadian coin); Econometrics; Macroeconomics; Economic growth; Mathematics; Geography","score_opus":0.022641680461255524,"score_gpt":0.2058732546592348,"score_spread":0.18323157419797928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022640458","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":[0.4387379,0.018468726,0.10845669,0.1518264,0.0015745473,0.00016683925,0.0025780187,0.0002696317,0.2779213],"genre_scores_gemma":[0.98003983,0.0035859356,0.004294812,0.0026715929,0.00058858766,0.00007272444,0.00018762867,0.000041311705,0.008517644],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99936324,0.00023273056,0.000023716677,0.00012123401,0.000071134404,0.0001879203],"domain_scores_gemma":[0.9959336,0.0022678552,0.000738295,0.00032851938,0.00035112232,0.00038065997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018586754,0.00062081683,0.0014953065,0.0011191954,0.001645842,0.0033432757,0.0014306356,0.0027862063,0.020279735],"category_scores_gemma":[0.009547113,0.00036690405,0.0007743554,0.0012409076,0.0023892622,0.008770449,0.0024548385,0.0022547867,0.0012027175],"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":[0.00009034383,0.000074553456,0.0134640485,0.00018013202,0.00011997468,0.00032521016,0.00072188437,0.008070232,0.00012301639,0.939044,0.017399734,0.020386834],"study_design_scores_gemma":[0.00006184848,0.000017735745,0.0045158956,0.000093228504,0.000050601877,0.000115992894,0.0013872765,0.018594034,0.000066617504,0.9670115,0.008060534,0.000024826568],"about_ca_topic_score_codex":0.008949443,"about_ca_topic_score_gemma":0.00944391,"teacher_disagreement_score":0.020279735,"about_ca_system_score_codex":0.0013046724,"about_ca_system_score_gemma":0.00081445667,"threshold_uncertainty_score":0.06784248},"labels":[],"label_agreement":null},{"id":"W3022811721","doi":"10.1111/iere.12022","title":"THE EVOLUTION OF EDUCATION: A MACROECONOMIC ANALYSIS","year":2013,"lang":"en","type":"article","venue":"International Economic Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Educational attainment; Human capital; Economics; Life expectancy; Distribution (mathematics); Demographic economics; Technological change; Population; Expectancy theory; Econometrics; Economic growth; Macroeconomics; Demography; Sociology","score_opus":0.01773638636825472,"score_gpt":0.25000161591516884,"score_spread":0.23226522954691411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022811721","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":[0.8925314,0.014946773,0.014791924,0.020152109,0.0002818543,0.00011039773,0.006722873,0.00019717286,0.050265465],"genre_scores_gemma":[0.98857075,0.004839536,0.00090992777,0.00026719266,0.00017163462,0.000031725904,0.0012959647,0.000022929025,0.0038904923],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978894,0.000056528374,0.000012341829,0.000049485436,0.00003713863,0.000055434644],"domain_scores_gemma":[0.9992544,0.00026622953,0.00022996143,0.000035655983,0.00009279212,0.000121000885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008654411,0.00030897753,0.00053256855,0.0012653159,0.0005187834,0.0024722102,0.00029942274,0.001293851,0.00291851],"category_scores_gemma":[0.002452153,0.0003038319,0.0008101707,0.0019330638,0.00047065367,0.001416228,0.00088774355,0.0013051343,0.0005117194],"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":[0.00038391948,0.00033349363,0.33871686,0.000338068,0.0004420437,0.0015164426,0.0008217908,0.27524808,0.0017117998,0.3062077,0.028274896,0.04600486],"study_design_scores_gemma":[0.00010285661,0.00023965712,0.41838595,0.0002876371,0.00030896044,0.00032319498,0.0009775821,0.45827988,0.00058494875,0.077161014,0.043228313,0.00012000629],"about_ca_topic_score_codex":0.019438066,"about_ca_topic_score_gemma":0.010392801,"teacher_disagreement_score":0.019438066,"about_ca_system_score_codex":0.0022139593,"about_ca_system_score_gemma":0.0006880167,"threshold_uncertainty_score":0.038649857},"labels":[],"label_agreement":null},{"id":"W3023506898","doi":"","title":"The Mystery of TFP","year":2017,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Total factor productivity; Economics; Growth accounting; Capital (architecture); Econometrics; Monetary economics; Macroeconomics; Productivity","score_opus":0.041480207209502906,"score_gpt":0.2536680754114224,"score_spread":0.21218786820191948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023506898","genre_codex":"empirical","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35919946,0.059615318,0.23483495,0.18875243,0.0060813418,0.000106137486,0.024876004,0.0017601997,0.124774165],"genre_scores_gemma":[0.9623743,0.010271253,0.009785578,0.0048691095,0.0031035747,0.00007370908,0.0029746378,0.0005219875,0.0060258135],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977653,0.000592183,0.00015805684,0.00069355493,0.00057916326,0.00021175956],"domain_scores_gemma":[0.98958486,0.0057462617,0.0013603631,0.0018779124,0.001176837,0.00025370406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040745647,0.00042178773,0.00088453636,0.0025781388,0.00064526784,0.003992557,0.0008411999,0.0010064619,0.004798124],"category_scores_gemma":[0.032432638,0.00023278648,0.0007212765,0.005390398,0.0031423161,0.007109012,0.0013116072,0.0026683551,0.0020411876],"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":[0.00027817537,0.000051961153,0.10022815,0.001030262,0.00046708074,0.00049643475,0.0035925913,0.014396194,0.0012937756,0.42884502,0.10398457,0.34533587],"study_design_scores_gemma":[0.000045905228,0.0000944293,0.06859342,0.00069952436,0.000090341004,0.0004794928,0.0024453935,0.014144459,0.0014287203,0.7198309,0.19205673,0.00009077203],"about_ca_topic_score_codex":0.008809393,"about_ca_topic_score_gemma":0.003586294,"teacher_disagreement_score":0.008809393,"about_ca_system_score_codex":0.0015117422,"about_ca_system_score_gemma":0.00091599557,"threshold_uncertainty_score":0.02154857},"labels":[],"label_agreement":null},{"id":"W3023758879","doi":"","title":"Investment-Specific Technology Shocks in a Small Open Economy","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Stylized fact; Economics; Small open economy; Volatility (finance); Business cycle; Open economy; Investment (military); Replicate; Macroeconomics; Monetary economics; Mechanism (biology); Key (lock); Econometrics; Monetary policy; Computer science","score_opus":0.07109292865415662,"score_gpt":0.2848590869691496,"score_spread":0.21376615831499296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023758879","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":[0.9916437,0.00004498879,0.0041856198,0.00032844784,0.000008320376,0.000018498153,0.00017486571,0.00003619035,0.0035592325],"genre_scores_gemma":[0.9987835,0.000059344537,0.000223081,0.000018757493,0.0000018011941,0.0000035345197,0.000036987243,0.000002136121,0.0008708682],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984884,0.000026559885,0.0000050173785,0.000026642434,0.00003137519,0.00006156694],"domain_scores_gemma":[0.9995018,0.0001670014,0.00011717351,0.000037612008,0.00006906411,0.00010729593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035777365,0.00025558012,0.00036075388,0.00031915674,0.00053718215,0.0013036851,0.00040851405,0.0006102552,0.001446828],"category_scores_gemma":[0.0024457776,0.0001789423,0.00028352335,0.0004321157,0.0011473534,0.0010210522,0.00055910175,0.0006188963,0.000079897225],"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":[0.00043599817,0.00017877636,0.03856434,0.000049317434,0.00007057629,0.00075819227,0.0008174783,0.8151546,0.008247519,0.12502617,0.0017109894,0.008985999],"study_design_scores_gemma":[0.00010323021,0.00010443212,0.03904931,0.000009018521,0.000047105506,0.00006150382,0.0007424078,0.914919,0.0012350469,0.041731916,0.001938903,0.00005813071],"about_ca_topic_score_codex":0.49615383,"about_ca_topic_score_gemma":0.32789975,"teacher_disagreement_score":0.49615383,"about_ca_system_score_codex":0.004847077,"about_ca_system_score_gemma":0.0025362244,"threshold_uncertainty_score":0.9865318},"labels":[],"label_agreement":null},{"id":"W3025097855","doi":"10.1017/cbo9780511754234.010","title":"Science and Technology in China","year":2008,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"China; Context (archaeology); Subject (documents); Technological change; Economic system; Economics; Political science; Computer science; Geography; Macroeconomics","score_opus":0.02044353081290157,"score_gpt":0.16499738498501001,"score_spread":0.14455385417210845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025097855","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07300228,0.10563499,0.0013235174,0.013155486,0.0015403777,0.00007859392,0.00023605769,0.00010536453,0.8049235],"genre_scores_gemma":[0.48058927,0.09114747,0.00258794,0.0029237547,0.0010200057,0.000117132906,0.00042795573,0.00004308113,0.4211434],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99970895,0.000033550747,0.000017673965,0.000048277056,0.00012128532,0.00007019221],"domain_scores_gemma":[0.9999068,0.000023325485,0.000009188359,0.000011222718,0.000028142429,0.00002131821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004927856,0.0004813984,0.00029102247,0.0015522985,0.0018666552,0.0021541098,0.00027642527,0.00072353386,0.0064152298],"category_scores_gemma":[0.00042006973,0.00014357507,0.0002706742,0.0044139316,0.0018292938,0.0013704201,0.0011214558,0.0008839116,0.00076228223],"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":[0.000024990684,0.000036988542,0.0040330207,0.00040912625,0.000019195479,0.00054615526,0.0036268157,0.001997532,0.00089380145,0.75174505,0.052075054,0.1845923],"study_design_scores_gemma":[0.0000139279855,0.000046836863,0.015150996,0.00020813377,0.000013146369,0.00021403037,0.00048726468,0.0012901088,0.00044113214,0.06566468,0.91645324,0.000016464948],"about_ca_topic_score_codex":0.040573273,"about_ca_topic_score_gemma":0.049554963,"teacher_disagreement_score":0.040573273,"about_ca_system_score_codex":0.006553298,"about_ca_system_score_gemma":0.01019946,"threshold_uncertainty_score":0.08067423},"labels":[],"label_agreement":null},{"id":"W3025234031","doi":"10.5267/j.uscm.2020.4.001","title":"Do technology transfer, R&amp;D collaboration and co-operation matter for R&amp;D along the supply chain? Evidence from Vietnamese young SMEs","year":2020,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vietnamese; Business; Supply chain; Chain (unit); Transfer (computing); Industrial organization; Technology transfer; Marketing; Computer science; International trade; Physics","score_opus":0.03456952763884653,"score_gpt":0.24785663466673152,"score_spread":0.213287107027885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025234031","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":[0.9974215,0.00036812655,0.00009697015,0.00017128652,0.00000152868,0.000006411986,0.0001014038,6.316127e-7,0.0018321949],"genre_scores_gemma":[0.99912447,0.00031409576,0.000041630276,0.000025734624,0.0000025806914,0.000003310073,0.00008561364,5.379523e-7,0.00040196782],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913055,0.00029088513,0.000085698455,0.00015809752,0.00013588976,0.00019883727],"domain_scores_gemma":[0.97869986,0.010907865,0.007052964,0.00046961367,0.0013316098,0.0015381307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019692539,0.00015560637,0.00020440943,0.00089120655,0.00059131085,0.0014218031,0.00033871876,0.00039494876,0.0025543652],"category_scores_gemma":[0.008390033,0.00016683132,0.00027140265,0.0018877814,0.00079040887,0.0011733857,0.0010564624,0.00048576412,0.00032028364],"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":[0.00011178172,0.000090339294,0.98710465,0.000084560685,0.000057684465,0.00047046173,0.0025857093,0.00031529614,0.0002830534,0.0008177692,0.0001371731,0.0079413755],"study_design_scores_gemma":[0.000012752679,0.00014341636,0.9852315,0.00009437533,0.00007116503,0.00011370058,0.01133497,0.0007282894,0.0005476695,0.00037076682,0.0013445163,0.0000068107365],"about_ca_topic_score_codex":0.031313494,"about_ca_topic_score_gemma":0.04447804,"teacher_disagreement_score":0.031313494,"about_ca_system_score_codex":0.00089413975,"about_ca_system_score_gemma":0.0014610237,"threshold_uncertainty_score":0.062262416},"labels":[],"label_agreement":null},{"id":"W3027074172","doi":"10.11575/prism/33958","title":"Using Income Accounting as the Theoretical Basis for Measuring IT Productivity","year":2014,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universität Paderborn; Deutscher Akademischer Austauschdienst; University of Calgary; Ohio State University","keywords":"Productivity; Accounting; Work (physics); Computer science; World Wide Web; Data science; Business; Economics; Engineering; Economic growth","score_opus":0.03137558826153144,"score_gpt":0.1959473869464213,"score_spread":0.16457179868488986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027074172","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":[0.21323048,0.0022156483,0.57649547,0.0027808694,0.00038874915,0.000562914,0.0046124225,0.000616819,0.19909656],"genre_scores_gemma":[0.9134509,0.0012967384,0.07761296,0.00020032207,0.00022225948,0.0002626741,0.0020221327,0.00007928436,0.004852721],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959253,0.0013102798,0.00042626195,0.0003570026,0.0016473075,0.0003338998],"domain_scores_gemma":[0.9880046,0.00325015,0.0038064874,0.0018588271,0.002762946,0.00031684508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003705138,0.00089417974,0.000352465,0.0064603062,0.00090974785,0.0040962123,0.0013443636,0.00067113515,0.004131015],"category_scores_gemma":[0.02310936,0.0002563276,0.00069293124,0.009621881,0.0021134166,0.0062161884,0.0020231658,0.0012873821,0.0011879185],"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":[0.000046468303,0.00014303817,0.11759175,0.0002886396,0.00010408849,0.00018483348,0.0012562613,0.017869366,0.0011974236,0.68737966,0.0072614276,0.166677],"study_design_scores_gemma":[0.000023112823,0.0002907549,0.1672412,0.00096465804,0.000137497,0.0006148546,0.003596428,0.102307685,0.009093395,0.57119864,0.14432085,0.0002109823],"about_ca_topic_score_codex":0.0049879462,"about_ca_topic_score_gemma":0.003102843,"teacher_disagreement_score":0.0064603062,"about_ca_system_score_codex":0.0025706773,"about_ca_system_score_gemma":0.0022171028,"threshold_uncertainty_score":0.019594908},"labels":[],"label_agreement":null},{"id":"W30279736","doi":"10.1007/978-1-4615-1017-8_4","title":"Convergence in GDP","year":2002,"lang":"en","type":"book-chapter","venue":"","topic":"Economic Growth and Productivity","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 Calgary","funders":"","keywords":"Convergence (economics); Premise; Economics; Economies of agglomeration; Economic geography; Causation; Capital (architecture); Economic system; International economics; Macroeconomics; Monetary economics; Microeconomics; Geography; Political science","score_opus":0.05411055696240679,"score_gpt":0.18613435294972,"score_spread":0.1320237959873132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W30279736","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021413028,0.0077514565,0.025051096,0.008563959,0.00077573943,0.000028905968,0.00044200913,0.00028169187,0.935692],"genre_scores_gemma":[0.55197555,0.01612981,0.01998809,0.0018745182,0.0018062497,0.00015906605,0.0008600436,0.0005657845,0.40664098],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993326,0.00017203257,0.00002963157,0.00020523692,0.00019301694,0.000067420275],"domain_scores_gemma":[0.999328,0.00018978637,0.000059614456,0.00015216162,0.00021442925,0.00005601697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011159659,0.00067622523,0.00063016475,0.002369741,0.00088299706,0.0032122857,0.00050103694,0.0011636456,0.018622851],"category_scores_gemma":[0.004766483,0.00023001319,0.0003905413,0.0028941927,0.0022599495,0.0045365794,0.002225548,0.0024748375,0.0051643713],"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":[0.00001663004,0.000015118851,0.000396799,0.000029277508,0.00000592205,0.00004539253,0.00028553253,0.0011920641,0.00009425962,0.9386011,0.015701244,0.043616638],"study_design_scores_gemma":[0.0000058810174,0.000014819927,0.0016489602,0.000103293314,0.0000059012714,0.00017194622,0.00021580796,0.0025741905,0.00040210565,0.8800853,0.11476328,0.00000854155],"about_ca_topic_score_codex":0.0021317718,"about_ca_topic_score_gemma":0.0013611906,"teacher_disagreement_score":0.018622851,"about_ca_system_score_codex":0.002106935,"about_ca_system_score_gemma":0.00092908606,"threshold_uncertainty_score":0.06229961},"labels":[],"label_agreement":null},{"id":"W3035126921","doi":"","title":"The Recent Economic Performance of the States | Bulletin – March Quarter 2012","year":2012,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Political science; History","score_opus":0.021619899907693942,"score_gpt":0.20228054279830338,"score_spread":0.18066064289060943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035126921","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":[0.30277804,0.03525187,0.0007391507,0.11024869,0.016592775,0.00010965245,0.23008555,0.0012033065,0.30299097],"genre_scores_gemma":[0.53377247,0.017195271,0.0006471094,0.0040177545,0.004939488,0.00010515519,0.08219553,0.00027733637,0.35684985],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996611,0.000026898966,0.000025858173,0.000036159527,0.00017123358,0.00007877964],"domain_scores_gemma":[0.9986981,0.00011286799,0.00032098408,0.000046188637,0.0006375439,0.000184316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042510824,0.00033636755,0.00026820833,0.0024116337,0.0010827668,0.004083727,0.00032363762,0.0009198919,0.015234363],"category_scores_gemma":[0.0026650045,0.00028977767,0.00026717928,0.0050156596,0.00032790832,0.0010607657,0.0007035764,0.001731659,0.004931235],"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":[0.0000958625,0.000040387553,0.033784155,0.00015231132,0.000046929083,0.00007276168,0.00023053923,0.00023874274,0.00017044821,0.0018351913,0.93259,0.030742597],"study_design_scores_gemma":[0.000011078435,0.00002172377,0.43958896,0.00008939123,0.00003120809,0.0000894482,0.00047120432,0.0002033794,0.00032485512,0.00019685182,0.5589493,0.000022571487],"about_ca_topic_score_codex":0.11418578,"about_ca_topic_score_gemma":0.30575994,"teacher_disagreement_score":0.11418578,"about_ca_system_score_codex":0.0026608063,"about_ca_system_score_gemma":0.0022583026,"threshold_uncertainty_score":0.22704232},"labels":[],"label_agreement":null},{"id":"W3035725058","doi":"","title":"Population Ageing: Alternative measures of dependency and implications for the future of work","year":2020,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":26,"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":"Underemployment; Dependency ratio; Poverty; Unemployment; Vulnerability (computing); Population; Population ageing; Work (physics); Economics; Demographic economics; Quarter (Canadian coin); Development economics; Labour economics; Economic growth; Geography; Sociology; Engineering","score_opus":0.10109432538368952,"score_gpt":0.3153426349568394,"score_spread":0.2142483095731499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035725058","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":[0.64210683,0.03232058,0.19024011,0.024749191,0.0008836764,0.0003767795,0.01466786,0.00015500435,0.094499946],"genre_scores_gemma":[0.9737385,0.0069535873,0.014630967,0.0004346572,0.00032696218,0.00026558514,0.0019012624,0.000019803307,0.0017286777],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99662495,0.0020474147,0.00026171387,0.0002483843,0.0006093532,0.00020816816],"domain_scores_gemma":[0.9892179,0.0062232926,0.0022825375,0.00065946684,0.0011659464,0.0004509017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049795355,0.0007696042,0.0005331425,0.0043805684,0.000624083,0.0026844165,0.0011283272,0.0010267245,0.0033165184],"category_scores_gemma":[0.0160953,0.00025855063,0.0012879702,0.006970697,0.0023407203,0.0045875357,0.002608069,0.0014496731,0.00025000627],"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":[0.00022720541,0.00014564928,0.42669332,0.0007525667,0.00048045587,0.00044855115,0.0037639462,0.0645596,0.000214514,0.3908607,0.009620239,0.10223314],"study_design_scores_gemma":[0.000044065793,0.0005464593,0.55791587,0.0013706996,0.0002890141,0.000996964,0.0070014996,0.13338497,0.0004223574,0.24897668,0.048801064,0.0002503187],"about_ca_topic_score_codex":0.015359427,"about_ca_topic_score_gemma":0.015339852,"teacher_disagreement_score":0.015359427,"about_ca_system_score_codex":0.0031277253,"about_ca_system_score_gemma":0.0010233539,"threshold_uncertainty_score":0.03054005},"labels":[],"label_agreement":null},{"id":"W3036412659","doi":"","title":"Accounting for Slower Productivity Growth in the Canadian Business Sector After 2000: Do Measurement Issues Matter?","year":2018,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Economic Growth and Productivity","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":"Productivity; Growth accounting; Multifactor productivity; Capital (architecture); Economics; Natural resource; Total factor productivity; Monetary economics; Business; Labour economics; Macroeconomics; Geography","score_opus":0.14076666653091324,"score_gpt":0.3243069292901687,"score_spread":0.18354026275925545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036412659","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":[0.8337889,0.015492472,0.014618139,0.04181622,0.0008791233,0.00027425683,0.037256468,0.0006062452,0.055268113],"genre_scores_gemma":[0.9788833,0.003609126,0.0035470757,0.000821219,0.00012409165,0.00005862641,0.008646518,0.00006507386,0.0042450107],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9944899,0.00033615573,0.0003196212,0.00058567,0.0028560837,0.0014125688],"domain_scores_gemma":[0.9669427,0.0038131059,0.0060421433,0.0016307045,0.020048823,0.0015225995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0077939513,0.0008490697,0.0007400079,0.006066279,0.0025811594,0.0045115077,0.001914683,0.00067612116,0.0017870264],"category_scores_gemma":[0.037692964,0.00029453056,0.00084423687,0.01833338,0.0014701309,0.0027915651,0.0016165731,0.0021007652,0.00038565713],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009760918,0.000045781453,0.8742184,0.00036780277,0.00024728035,0.00013288755,0.0024307985,0.005122102,0.00049399195,0.011383317,0.020046085,0.08541397],"study_design_scores_gemma":[0.000007220092,0.000015839918,0.97456586,0.00018198778,0.00006968588,0.000027561862,0.0015313271,0.0045088283,0.0008558881,0.0015996431,0.016600655,0.000035454046],"about_ca_topic_score_codex":0.9898184,"about_ca_topic_score_gemma":0.99041617,"teacher_disagreement_score":0.95532125,"about_ca_system_score_codex":0.044678763,"about_ca_system_score_gemma":0.07050916,"threshold_uncertainty_score":0.32416862},"labels":[],"label_agreement":null},{"id":"W3036529835","doi":"","title":"The World Bank Perspective on Productivity: A Review Article on \"Productivity Revisited: Shifting Paradigms in Analysis and Policy\"","year":2020,"lang":"en","type":"review","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Productivity; Perspective (graphical); Economics; Regional science; Macroeconomics; Computer science; Sociology; Artificial intelligence","score_opus":0.06236769308470887,"score_gpt":0.3479266862006669,"score_spread":0.28555899311595806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036529835","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000026894637,0.98867655,0.000069745336,0.008348644,0.0019250357,0.0000020151115,0.00002880155,0.0000042188003,0.00091813173],"genre_scores_gemma":[0.00056698825,0.9929692,0.0000924358,0.0040923604,0.0017089393,0.000008445171,0.0000316583,0.0000036779836,0.00052634365],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99817,0.0005811581,0.00019559401,0.00018295916,0.0006924702,0.0001776973],"domain_scores_gemma":[0.9935588,0.0035480168,0.00076122466,0.00012889855,0.0016969489,0.0003061129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003936428,0.0012376992,0.0020645426,0.007830905,0.00086503546,0.0051508853,0.0012884021,0.0032408284,0.0057976595],"category_scores_gemma":[0.0098746745,0.00051081314,0.0011694757,0.020475501,0.0026210484,0.006675742,0.0021948456,0.0051067206,0.0026738732],"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":[0.00008637955,0.000036915175,0.00031604763,0.023713378,0.00016103126,0.00010530828,0.0003366174,0.0002624964,0.00024973403,0.039074283,0.49595854,0.4396992],"study_design_scores_gemma":[0.000009857798,0.000020782722,0.0007861271,0.019095367,0.00006613591,0.00013815585,0.00020638686,0.00003113709,0.00007211703,0.007913772,0.971642,0.000018054345],"about_ca_topic_score_codex":0.0072988,"about_ca_topic_score_gemma":0.008066554,"teacher_disagreement_score":0.007830905,"about_ca_system_score_codex":0.004085143,"about_ca_system_score_gemma":0.011188872,"threshold_uncertainty_score":0.0296399},"labels":[],"label_agreement":null},{"id":"W3036541706","doi":"10.1093/oso/9780190936075.003.0011","title":"Selling Ideas","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Economic Growth and Productivity","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":"Multinational corporation; Incentive; International trade; Technology transfer; Business; Intellectual property; International economics; Market economy; Economics; Political science; Finance; Law","score_opus":0.05111511027354137,"score_gpt":0.1884806680850298,"score_spread":0.13736555781148843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036541706","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":[0.0009480983,0.0025435209,0.001560299,0.0012677812,0.0007619957,0.000034128265,0.0001854203,0.00012906357,0.9925696],"genre_scores_gemma":[0.009106555,0.0028321126,0.0013105613,0.0008582294,0.00050617335,0.000030938587,0.0002687646,0.00013531433,0.9849513],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995634,0.0000711091,0.000022302102,0.00008924167,0.00019409589,0.000059863018],"domain_scores_gemma":[0.9995783,0.00015704529,0.00003066719,0.000075569784,0.00007908264,0.00007934886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048633767,0.00085619185,0.0004173285,0.002215481,0.0015047659,0.008004975,0.00085960026,0.0015662444,0.2881971],"category_scores_gemma":[0.0012024845,0.0003056571,0.0005241055,0.0019321498,0.001761588,0.0057217497,0.0026134008,0.0022682424,0.11732379],"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":[0.000028258664,0.000056176024,0.0002416178,0.00019055246,0.000007899973,0.0002662662,0.001671164,0.00019939506,0.000994044,0.52370214,0.30741736,0.16522513],"study_design_scores_gemma":[0.0000033105712,0.0000097349775,0.00010320269,0.00007426595,0.0000016013746,0.00014362203,0.00016046753,0.00006222699,0.00012954013,0.022352384,0.9769564,0.0000033209776],"about_ca_topic_score_codex":0.00091904524,"about_ca_topic_score_gemma":0.0014608067,"teacher_disagreement_score":0.2881971,"about_ca_system_score_codex":0.0011193276,"about_ca_system_score_gemma":0.0007303049,"threshold_uncertainty_score":0.9641153},"labels":[],"label_agreement":null},{"id":"W3039811192","doi":"10.22215/timreview/1369","title":"Technology Adaptation and Survival of SMEs: A Longitudinal Study of Developing Countries","year":2020,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Developing country; Business; Adaptation (eye); Economic growth; Developed country; Development economics; Economics; Population","score_opus":0.10139291328920004,"score_gpt":0.2776628337573804,"score_spread":0.17626992046818035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039811192","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":[0.99828327,0.0007456042,0.000044221382,0.00013839355,0.0000048410716,0.00001206209,0.00039459747,0.0000011403718,0.00037593284],"genre_scores_gemma":[0.99792105,0.00093187054,0.0000704912,0.00007225754,0.000008170306,0.000029073797,0.000579325,0.0000023746375,0.00038546693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995844,0.00012902473,0.00004078793,0.000067252295,0.000042518437,0.00013604213],"domain_scores_gemma":[0.99748635,0.00036636213,0.0010120524,0.00012332002,0.00045116633,0.0005607856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018099481,0.0002453882,0.00044257124,0.0011226315,0.00079472014,0.00118053,0.00041084248,0.0005751761,0.0026128602],"category_scores_gemma":[0.0039592264,0.00026546154,0.0006236774,0.0017857314,0.00044752823,0.0010925579,0.0014193808,0.0010224052,0.0006527011],"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":[0.0001210308,0.00022794199,0.99056715,0.000049297134,0.0000794461,0.00029022427,0.0034303654,0.00007222965,0.000099136734,0.00013640457,0.00048615522,0.004440616],"study_design_scores_gemma":[0.0000058120295,0.00017482927,0.99425113,0.00006875852,0.000041435516,0.00016105537,0.0043454687,0.00008529523,0.000033033604,0.00005452349,0.0007701973,0.00000854344],"about_ca_topic_score_codex":0.015350704,"about_ca_topic_score_gemma":0.015051738,"teacher_disagreement_score":0.015350704,"about_ca_system_score_codex":0.0005936185,"about_ca_system_score_gemma":0.00085043645,"threshold_uncertainty_score":0.030522704},"labels":[],"label_agreement":null},{"id":"W3042370701","doi":"","title":"Abstract for The Sensitivity of Personal Income to GDP Growth | Bulletin – December Quarter 2016","year":2016,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Personal income; Economics; Economic growth; History","score_opus":0.024163634721301116,"score_gpt":0.21439603389732004,"score_spread":0.19023239917601892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042370701","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":[0.043925248,0.021610158,0.0054541226,0.1410333,0.072545834,0.00041018584,0.3399172,0.0029762501,0.37212765],"genre_scores_gemma":[0.14712602,0.0112661095,0.0017074412,0.0066153533,0.011927901,0.0003677389,0.105125785,0.0013751041,0.71448857],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99922264,0.00010418349,0.000068920344,0.00009390685,0.000408798,0.00010144131],"domain_scores_gemma":[0.99379444,0.0014933815,0.0007677883,0.0005861362,0.0029236563,0.00043447694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012347096,0.00062578905,0.0006644125,0.0030920194,0.00071547175,0.003268111,0.00050555967,0.0009942334,0.10377621],"category_scores_gemma":[0.011671879,0.0003108967,0.00079340243,0.0030512577,0.00031615677,0.0015664428,0.0012049754,0.002204409,0.046139523],"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":[0.00018750143,0.000038056845,0.004692463,0.000092347924,0.00003367186,0.000035697605,0.000029072726,0.00077397254,0.00012964172,0.0014658228,0.9709755,0.02154617],"study_design_scores_gemma":[0.00007360764,0.0000722861,0.10689171,0.0003783775,0.00008657695,0.00008275598,0.00020072024,0.0019374109,0.0015601376,0.0035454158,0.8851166,0.000054546457],"about_ca_topic_score_codex":0.033181183,"about_ca_topic_score_gemma":0.030025013,"teacher_disagreement_score":0.10377621,"about_ca_system_score_codex":0.0016295834,"about_ca_system_score_gemma":0.001904566,"threshold_uncertainty_score":0.347166},"labels":[],"label_agreement":null},{"id":"W3044913958","doi":"","title":"The role of endogenous capital depreciation rate in Dynamic Stochastic General Equilibrium models: Evidence from Canada","year":2017,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Economic Growth and Productivity","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":"Economics; Depreciation (economics); Dynamic stochastic general equilibrium; Shock (circulatory); Capital Consumption Allowance; Technology shock; Econometrics; Microeconomics; Monetary economics; Capital formation; Monetary policy; Financial capital","score_opus":0.03098224310333497,"score_gpt":0.1858133470170839,"score_spread":0.15483110391374894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044913958","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":[0.9804114,0.0024441003,0.004976169,0.0019410737,0.00002392358,0.000032128006,0.0012553423,0.00014349453,0.008772385],"genre_scores_gemma":[0.99479043,0.0016040768,0.00095092395,0.00008809261,0.0000077805125,0.0000063635152,0.00096245983,0.00002950972,0.0015603072],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993967,0.00015748826,0.000032906035,0.0001324786,0.00011271935,0.0001677319],"domain_scores_gemma":[0.9944174,0.0032917075,0.0005988299,0.0003476938,0.0010803298,0.00026401214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002059698,0.00054095977,0.0010462162,0.00064018887,0.0012195354,0.003017057,0.0015103128,0.00093105476,0.0022233191],"category_scores_gemma":[0.009975679,0.0005143022,0.000871391,0.0012801053,0.0012560525,0.0011617191,0.000708732,0.0013812484,0.00027352394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011463112,0.00029568464,0.17420357,0.00040649116,0.00050729135,0.0007853419,0.0011186298,0.7245008,0.0011548094,0.06177524,0.008334153,0.025771763],"study_design_scores_gemma":[0.0003233613,0.0001831465,0.14947268,0.00015579356,0.00056509883,0.00013669427,0.0020400726,0.80388635,0.0012266017,0.024984043,0.016777776,0.00024829683],"about_ca_topic_score_codex":0.9411877,"about_ca_topic_score_gemma":0.9158814,"teacher_disagreement_score":0.05881232,"about_ca_system_score_codex":0.012454485,"about_ca_system_score_gemma":0.011040028,"threshold_uncertainty_score":0.118317306},"labels":[],"label_agreement":null},{"id":"W3046876523","doi":"10.1016/j.strueco.2020.06.003","title":"Technological frontier, technical efficiency and the post-2000 productivity slowdown in Canada","year":2020,"lang":"en","type":"article","venue":"Structural Change and Economic Dynamics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada; Innovation, Science and Economic Development Canada","funders":"","keywords":"Slowdown; Productivity; Frontier; Economics; Technological change; Total factor productivity; Economic slowdown; Macroeconomics; Economic growth; Political science","score_opus":0.017861251672965095,"score_gpt":0.17923689429093756,"score_spread":0.16137564261797246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046876523","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":[0.9653206,0.003553543,0.00023618582,0.012038018,0.00007139554,0.000023712866,0.0056577553,0.00004664193,0.01305215],"genre_scores_gemma":[0.98663735,0.0017559287,0.00014788566,0.00030281063,0.000024598861,0.000008149513,0.00153462,0.000015506437,0.009573154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99866843,0.000038604892,0.000052544376,0.00011392496,0.00040353194,0.0007229549],"domain_scores_gemma":[0.9943452,0.0005260248,0.00081637,0.00010649,0.0028214462,0.0013844423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014980885,0.00033039832,0.0005563134,0.0031558403,0.0038713084,0.004547888,0.001413783,0.001487579,0.0053758463],"category_scores_gemma":[0.007619108,0.00029356507,0.0005630047,0.00819741,0.0017962945,0.0014526595,0.0015844966,0.0020031093,0.00038754116],"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":[0.0010971427,0.0003368126,0.7957202,0.00033774896,0.00023733034,0.001009428,0.0076486515,0.014859624,0.0012540449,0.05724258,0.029889055,0.090367354],"study_design_scores_gemma":[0.000039287203,0.000033845925,0.971845,0.0000990459,0.00005072644,0.000052558906,0.0037457382,0.0031250673,0.00038199784,0.0013938018,0.019191869,0.000041115425],"about_ca_topic_score_codex":0.9984363,"about_ca_topic_score_gemma":0.9986161,"teacher_disagreement_score":0.12456483,"about_ca_system_score_codex":0.12456483,"about_ca_system_score_gemma":0.14684385,"threshold_uncertainty_score":0.9037853},"labels":[],"label_agreement":null},{"id":"W3048392280","doi":"10.1002/ijfe.2068","title":"International trade and income convergence: Sorting out the nature of bilateral trade","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Economics; Bilateral trade; Convergence (economics); International economics; International trade; Trade barrier; Spillover effect; Economic integration; International free trade agreement; Comparative advantage; Free trade; Gravity model of trade; Developing country; Macroeconomics; Economic growth","score_opus":0.024012681017388175,"score_gpt":0.2369706307673304,"score_spread":0.21295794974994223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048392280","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":[0.8890098,0.0019369066,0.017687771,0.0014054563,0.000054902703,0.000036921465,0.00019631175,0.000036453926,0.08963549],"genre_scores_gemma":[0.99819356,0.0003182855,0.00071364985,0.000028906097,0.000020767393,0.000008023933,0.000043552023,0.000004795515,0.0006685282],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99909353,0.0004354353,0.000043990658,0.00012470494,0.00014707613,0.00015528692],"domain_scores_gemma":[0.9936081,0.0035277796,0.0013225384,0.0004181684,0.0007767961,0.00034661146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020765983,0.00024639865,0.00048060084,0.0022009811,0.0007066244,0.0024974856,0.00031847466,0.000512643,0.00787021],"category_scores_gemma":[0.010099616,0.00009196784,0.0004966233,0.0028950942,0.0023006343,0.003560223,0.0027100402,0.0010861912,0.0002753736],"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":[0.00052054407,0.00014647572,0.21864776,0.0002347546,0.00021995656,0.000565921,0.0022481477,0.026881602,0.0011910248,0.6669551,0.0016405518,0.0807481],"study_design_scores_gemma":[0.00006038073,0.00017396195,0.24782327,0.00040923752,0.00014155744,0.00044656737,0.0052427384,0.035515558,0.0015703065,0.69940096,0.009171225,0.000044305227],"about_ca_topic_score_codex":0.0016396248,"about_ca_topic_score_gemma":0.0008803621,"teacher_disagreement_score":0.00787021,"about_ca_system_score_codex":0.0009621585,"about_ca_system_score_gemma":0.0005458112,"threshold_uncertainty_score":0.026328444},"labels":[],"label_agreement":null},{"id":"W3048711610","doi":"10.1016/j.jeca.2020.e00170","title":"Capital utilization, obsolescence and technological progress","year":2020,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Obsolescence; Economics; Depreciation (economics); Variety (cybernetics); Durability; Capital (architecture); Endogenous growth theory; Microeconomics; Monetary economics; Human capital; Capital formation; Business; Market economy; Mathematics; Computer science","score_opus":0.06114206306733545,"score_gpt":0.23195422278886127,"score_spread":0.1708121597215258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048711610","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":[0.9901348,0.0018884933,0.001437803,0.00042880946,0.000015979886,0.0000118465905,0.00045541843,0.000017335267,0.0056094998],"genre_scores_gemma":[0.99722517,0.0005032423,0.00014301723,0.000019593384,0.000026246968,0.0000047824815,0.00018745461,0.000004692387,0.001885813],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99922,0.00017931938,0.000116342664,0.00009786399,0.00011361952,0.00027272495],"domain_scores_gemma":[0.9665141,0.018516734,0.009668974,0.00191936,0.0015779561,0.0018028991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036435593,0.00028501262,0.0005012956,0.0021873177,0.00048282233,0.0035089413,0.00072470284,0.0008696155,0.0074809105],"category_scores_gemma":[0.023321295,0.00021180375,0.0004517277,0.0032075744,0.001815828,0.003567106,0.0014455671,0.0010831873,0.00057707826],"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":[0.0010385051,0.00027377476,0.8628043,0.00019776885,0.00022553455,0.0010801053,0.002337428,0.016330093,0.001419004,0.059145927,0.0014870751,0.05366038],"study_design_scores_gemma":[0.0000760069,0.00038676243,0.8776898,0.00016237242,0.00035162317,0.0011333792,0.004973643,0.014824425,0.0023708967,0.089216135,0.008744334,0.00007068055],"about_ca_topic_score_codex":0.0074414243,"about_ca_topic_score_gemma":0.005089959,"teacher_disagreement_score":0.0074809105,"about_ca_system_score_codex":0.0013023658,"about_ca_system_score_gemma":0.001128404,"threshold_uncertainty_score":0.025026143},"labels":[],"label_agreement":null},{"id":"W3049071969","doi":"","title":"The Myth of First-Quarter Residual Seasonality","year":2015,"lang":"en","type":"article","venue":"Liberty Street Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"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":"Quarter (Canadian coin); Seasonality; Residual; Imperfect; Economics; Econometrics; State (computer science); Economy; Geography; Statistics; Mathematics","score_opus":0.04128102366987038,"score_gpt":0.20846484501805296,"score_spread":0.16718382134818258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049071969","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0400983,0.014569949,0.035400577,0.87298447,0.011489694,0.000027217196,0.0019920703,0.00028835074,0.023149349],"genre_scores_gemma":[0.785516,0.014875429,0.014477887,0.14211679,0.03163835,0.00010425724,0.00085494074,0.0004941208,0.009922264],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9951498,0.0019861031,0.0003543481,0.001260435,0.0009950078,0.00025435287],"domain_scores_gemma":[0.9675521,0.018810367,0.0045899013,0.004793184,0.003325278,0.00092917145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01474613,0.00029662036,0.0006137426,0.00093684497,0.0009138681,0.002641795,0.0017398786,0.0028977052,0.0032550693],"category_scores_gemma":[0.059605263,0.0003557057,0.0005537128,0.001330941,0.005815718,0.0070291413,0.0017753596,0.009441676,0.000885596],"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":[0.00038470607,0.000060987786,0.020878138,0.00030395525,0.00016673922,0.00025717227,0.0033403733,0.0019541674,0.00045363075,0.6756415,0.20087156,0.09568707],"study_design_scores_gemma":[0.000057302266,0.00007097593,0.014746885,0.0007051641,0.00004880557,0.00032071501,0.001329914,0.004937925,0.00064018124,0.7748371,0.2022199,0.000085192245],"about_ca_topic_score_codex":0.004609642,"about_ca_topic_score_gemma":0.002790145,"teacher_disagreement_score":0.01474613,"about_ca_system_score_codex":0.0012271864,"about_ca_system_score_gemma":0.0012765111,"threshold_uncertainty_score":0.07798594},"labels":[],"label_agreement":null},{"id":"W30774060","doi":"10.1192/bjp.2018.251","title":"Sub-regional disparities in Britain: convergence, asymmetries and spatial dependence","year":2006,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Convergence (economics); Interdependence; Divergence (linguistics); Economic geography; Economics; Regional science; Spatial econometrics; Geography; Econometrics; Sociology; Macroeconomics; Social science","score_opus":0.018277446968972537,"score_gpt":0.18539606201976452,"score_spread":0.16711861505079198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W30774060","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":[0.9886451,0.0022259124,0.00040336305,0.0017742305,0.000010007333,0.0000051756397,0.00041184208,0.000006366996,0.0065180566],"genre_scores_gemma":[0.9989981,0.00035605798,0.0001096077,0.000027889773,0.000006044024,0.0000025842612,0.00013327056,0.0000031892716,0.0003633047],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994149,0.0001623964,0.000044998204,0.0000945718,0.00010849227,0.00017450294],"domain_scores_gemma":[0.9978848,0.0008123111,0.00048023922,0.00018085579,0.0004466697,0.00019505499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010940175,0.00009092509,0.00043460482,0.0021249813,0.00061691715,0.0010607237,0.0003405777,0.0003559953,0.0036180138],"category_scores_gemma":[0.0058805556,0.0001099101,0.00014917251,0.004623563,0.0013760319,0.0009809887,0.0019389181,0.00038928978,0.00030406404],"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":[0.00029780885,0.000043496537,0.83317554,0.00021895884,0.00011548689,0.0003602901,0.02515432,0.0015637876,0.0010428234,0.032760125,0.003695713,0.10157165],"study_design_scores_gemma":[0.000003945661,0.000012190172,0.988525,0.000052355856,0.000014272129,0.000057602978,0.0039910735,0.00053719,0.00006106397,0.0040605203,0.0026773533,0.000007451923],"about_ca_topic_score_codex":0.12404304,"about_ca_topic_score_gemma":0.19066377,"teacher_disagreement_score":0.12404304,"about_ca_system_score_codex":0.0016714687,"about_ca_system_score_gemma":0.0010666121,"threshold_uncertainty_score":0.24664205},"labels":[],"label_agreement":null},{"id":"W3083041684","doi":"10.1111/caje.12597","title":"Long lifespan and optimal recurrent education","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Longevity; Demographic economics; Economics; Work (physics); Demography; Gerontology; Medicine; Sociology; Physics","score_opus":0.10493493873789445,"score_gpt":0.17995612891989557,"score_spread":0.07502119018200112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083041684","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":[0.9490289,0.002019938,0.011694842,0.0024134489,0.00005292719,0.000021729065,0.0005658941,0.000060578288,0.034141723],"genre_scores_gemma":[0.9979481,0.00022131891,0.00035899426,0.000058903413,0.000012337304,0.000004571019,0.000038112343,0.0000034975365,0.0013541883],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996412,0.000097609794,0.00001592693,0.00005520194,0.000029899074,0.00016006471],"domain_scores_gemma":[0.9969528,0.0011736138,0.0008050825,0.00019385795,0.0001975482,0.0006771433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009024247,0.0002044258,0.0003657507,0.0004090579,0.00030791154,0.0008805664,0.00029623348,0.00058793847,0.011230849],"category_scores_gemma":[0.0052920766,0.00014277846,0.00026026013,0.00021269097,0.00075467315,0.001164966,0.0008835867,0.00051839685,0.00046665475],"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":[0.00088218565,0.0005214198,0.12115925,0.0005058731,0.00017408677,0.0015681204,0.00092023954,0.08763104,0.0073886686,0.68825,0.0067547983,0.08424423],"study_design_scores_gemma":[0.00021478109,0.00084802177,0.16545916,0.00042899288,0.00013867122,0.001410341,0.0022133505,0.0619323,0.0029162364,0.7492048,0.015159081,0.00007422691],"about_ca_topic_score_codex":0.0019805564,"about_ca_topic_score_gemma":0.0022137498,"teacher_disagreement_score":0.011230849,"about_ca_system_score_codex":0.0009787607,"about_ca_system_score_gemma":0.000622547,"threshold_uncertainty_score":0.037570953},"labels":[],"label_agreement":null},{"id":"W3083676084","doi":"10.5430/rwe.v11n5p34","title":"Analysing ICT Economic Impact in Vietnam","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Information and Communications Technology; Spillover effect; Business; Economic sector; Final demand; Economics; Industrial organization; Economy; Production (economics); Macroeconomics; Political science","score_opus":0.15922016132349268,"score_gpt":0.3528579656436444,"score_spread":0.19363780432015174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083676084","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":[0.95867145,0.00028773074,0.0009904328,0.00022822518,0.00001658105,0.000047469664,0.0024005703,0.000021402622,0.037336245],"genre_scores_gemma":[0.9943796,0.00037287574,0.0003322418,0.000018361954,0.0000047519375,0.000012286389,0.0010619512,0.000008680756,0.0038093566],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997551,0.000058169328,0.000011664126,0.000023306828,0.000072248404,0.000079526544],"domain_scores_gemma":[0.9992084,0.00037278104,0.00010575766,0.00002866604,0.00021676732,0.00006760722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040041504,0.00015384804,0.00015689197,0.0013044421,0.00022800546,0.0014098503,0.00014535137,0.00008761706,0.0062424773],"category_scores_gemma":[0.0014883839,0.000115384144,0.00027719353,0.0022372038,0.00022977732,0.00054222037,0.00043871193,0.00029268698,0.00024640193],"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":[0.0002876946,0.0002257722,0.7967502,0.0006643938,0.00017575278,0.0038114178,0.002943663,0.0655775,0.00295876,0.046163585,0.0042890087,0.07615234],"study_design_scores_gemma":[0.000023047465,0.00020709768,0.8868977,0.00015880684,0.000111712725,0.00031919862,0.011509429,0.055579565,0.0036966347,0.0050278353,0.036441445,0.00002756411],"about_ca_topic_score_codex":0.10530972,"about_ca_topic_score_gemma":0.06421496,"teacher_disagreement_score":0.10530972,"about_ca_system_score_codex":0.0027536547,"about_ca_system_score_gemma":0.0016358427,"threshold_uncertainty_score":0.2093935},"labels":[],"label_agreement":null},{"id":"W3088481780","doi":"","title":"How Recession Affects the Industrial Firms in Iran","year":2018,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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 British Columbia","funders":"","keywords":"Recession; Economics; Business; Great recession; Natural resource economics; Keynesian economics","score_opus":0.08574858295684623,"score_gpt":0.22717608465290678,"score_spread":0.14142750169606055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088481780","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":[0.9964826,0.00023915977,0.000026203923,0.0011682475,0.000010221111,0.0000029846115,0.000115997274,0.0000025248817,0.001952039],"genre_scores_gemma":[0.99922013,0.00019464028,0.000008049363,0.000045800265,0.000011658619,7.533169e-7,0.000096491116,9.658144e-7,0.00042147073],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996917,0.00004071264,0.000015082321,0.000024360943,0.000047661946,0.00018037023],"domain_scores_gemma":[0.9992349,0.00007137981,0.00034118482,0.00001729292,0.00018843597,0.00014676612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033511617,0.000111473084,0.00018661132,0.000587328,0.0006422532,0.0013584386,0.0002819948,0.00045216756,0.0021673115],"category_scores_gemma":[0.0014630996,0.00009835755,0.00023391716,0.0012913395,0.00050087075,0.00064572,0.0006212116,0.00067225867,0.00023971336],"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":[0.00014373419,0.000086074666,0.9810557,0.000025656705,0.000046538335,0.00049938296,0.0018081416,0.0016304592,0.00028378496,0.0015847437,0.0031623272,0.009673496],"study_design_scores_gemma":[0.0000047599965,0.000023358065,0.9908929,0.000009123513,0.000019757541,0.00006140833,0.0060629244,0.0007044725,0.000056871148,0.0003503314,0.001807688,0.0000064858486],"about_ca_topic_score_codex":0.13676238,"about_ca_topic_score_gemma":0.16091453,"teacher_disagreement_score":0.13676238,"about_ca_system_score_codex":0.0022664303,"about_ca_system_score_gemma":0.00182065,"threshold_uncertainty_score":0.27193266},"labels":[],"label_agreement":null},{"id":"W3088867368","doi":"10.5539/ijef.v12n10p45","title":"Beyond Beta-Convergence: Convergence in Differences and its Application to the Russian Regions","year":2020,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Per capita; Estimator; Economics; Econometrics; Productivity; Estimation; Sigma; Sample (material); Mathematics; Statistics; Macroeconomics; Demography; Population","score_opus":0.030964523212132205,"score_gpt":0.22223343456512612,"score_spread":0.19126891135299393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088867368","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":[0.55621344,0.0028401853,0.41591224,0.0027793895,0.00017215023,0.00013857959,0.00046216816,0.0002491791,0.021232696],"genre_scores_gemma":[0.98260224,0.0008848422,0.012128588,0.00013949272,0.000079243204,0.00008590054,0.00020186888,0.00006255521,0.0038151667],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9976477,0.0013343157,0.00010889843,0.00046753694,0.00019352687,0.00024802017],"domain_scores_gemma":[0.9924285,0.0047980906,0.0012974764,0.0006666582,0.0005518559,0.00025740184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008030623,0.0008113508,0.001543201,0.0019275913,0.0006242959,0.0025910174,0.0017340282,0.0013241639,0.0032131532],"category_scores_gemma":[0.017749496,0.00042309897,0.0024956665,0.0016866191,0.0021829263,0.0031095834,0.0033190711,0.0026497054,0.00044618946],"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":[0.0002485758,0.00012246156,0.13053781,0.00034014895,0.00054376747,0.0016500399,0.0027369806,0.2922638,0.0010897812,0.5246073,0.0020980106,0.043761298],"study_design_scores_gemma":[0.00007120994,0.0004128064,0.04707366,0.00026292686,0.00021097684,0.0011576702,0.0017011067,0.62713194,0.0009158448,0.31004536,0.010918671,0.00009790015],"about_ca_topic_score_codex":0.007262537,"about_ca_topic_score_gemma":0.0030723698,"teacher_disagreement_score":0.008030623,"about_ca_system_score_codex":0.0011141245,"about_ca_system_score_gemma":0.00081924524,"threshold_uncertainty_score":0.042470515},"labels":[],"label_agreement":null},{"id":"W3091577952","doi":"10.6000/1929-7092.2020.09.30","title":"Sources of Output Growth of the ICT Sector in Vietnam","year":2020,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Information and Communications Technology; Business; Economics; Political science","score_opus":0.0530196540737745,"score_gpt":0.22632470881024422,"score_spread":0.17330505473646973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091577952","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":[0.9791942,0.0011497859,0.00058041065,0.00079185824,0.000021784688,0.00001695762,0.0094944,0.000028465694,0.008722127],"genre_scores_gemma":[0.99074274,0.0010866597,0.00017672914,0.000018480148,0.000014992694,0.000012256933,0.005330865,0.00001298444,0.0026042305],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998565,0.000019766489,0.000009219347,0.000025883186,0.00003424818,0.000054448825],"domain_scores_gemma":[0.9992932,0.00015810305,0.00019551479,0.000020693009,0.00024583086,0.00008660755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030773573,0.00022800874,0.00016879014,0.0018028746,0.00022725061,0.0011237962,0.00017465855,0.000111584864,0.0015256621],"category_scores_gemma":[0.0010985291,0.00014837143,0.0002742512,0.0032943585,0.00023896377,0.00048687385,0.0005888941,0.00038162028,0.00029094616],"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":[0.00042398978,0.00008172885,0.88845056,0.0004668369,0.00014720696,0.0016990027,0.0030297097,0.016351445,0.0026678282,0.0108831925,0.008040597,0.067757964],"study_design_scores_gemma":[0.000012934195,0.00004011501,0.962469,0.00014273572,0.000038806193,0.000170845,0.0050981552,0.013129864,0.00155954,0.002394196,0.01491813,0.000025851681],"about_ca_topic_score_codex":0.04985231,"about_ca_topic_score_gemma":0.02789504,"teacher_disagreement_score":0.04985231,"about_ca_system_score_codex":0.0019078138,"about_ca_system_score_gemma":0.0010975725,"threshold_uncertainty_score":0.09912425},"labels":[],"label_agreement":null},{"id":"W3093818948","doi":"10.3386/w27985","title":"Some Facts about Dominant Firms","year":2020,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; Sid W. Richardson Foundation; Smith Richardson Foundation","keywords":"Business","score_opus":0.37075273019471594,"score_gpt":0.44521214884344473,"score_spread":0.07445941864872879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093818948","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50624067,0.07212111,0.011414494,0.05639738,0.0016760763,0.00008219337,0.047121245,0.0002350454,0.30471182],"genre_scores_gemma":[0.94453967,0.02041507,0.002732029,0.0045127044,0.0020049748,0.000067871326,0.01112234,0.00008310838,0.014522246],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981876,0.00019456063,0.00022852203,0.00048460884,0.0005393644,0.00036534906],"domain_scores_gemma":[0.98130554,0.0058603403,0.008049014,0.000856485,0.0027550366,0.001173614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020901663,0.00046668967,0.00038521105,0.0074586244,0.0016590143,0.004159462,0.0006448415,0.0009902479,0.008470997],"category_scores_gemma":[0.014082841,0.00021482586,0.00038587724,0.01542023,0.0017663925,0.005832248,0.0011939593,0.001541468,0.001537212],"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":[0.00016978082,0.00011903473,0.56244344,0.0008905259,0.0001607434,0.00073685386,0.0099337725,0.0015468063,0.00078522775,0.16750015,0.099380076,0.15633363],"study_design_scores_gemma":[0.000028643184,0.00014442594,0.62772614,0.00097475195,0.00014292014,0.0013641613,0.0073033096,0.0010639783,0.0012929126,0.073777124,0.2860652,0.00011644705],"about_ca_topic_score_codex":0.03740959,"about_ca_topic_score_gemma":0.05187561,"teacher_disagreement_score":0.03740959,"about_ca_system_score_codex":0.0018185239,"about_ca_system_score_gemma":0.0012084352,"threshold_uncertainty_score":0.074383736},"labels":[],"label_agreement":null},{"id":"W3094239129","doi":"10.3386/w28141","title":"Earnings Dynamics and Intergenerational Transmission of Skill","year":2020,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Western University","funders":"Georgetown University; University of Chicago","keywords":"Dynamics (music); Earnings; Transmission (telecommunications); Economics; Psychology; Computer science; Telecommunications; Pedagogy; Finance","score_opus":0.21763037594359808,"score_gpt":0.40785281977702686,"score_spread":0.1902224438334288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094239129","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":[0.9338792,0.00053398125,0.05281702,0.0014347268,0.000022428789,0.00004364823,0.0011175784,0.00009316214,0.010058292],"genre_scores_gemma":[0.9904185,0.00035062383,0.001962279,0.000032974687,0.000008868891,0.0000087463095,0.00031150825,0.000010080842,0.006896513],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99973756,0.0000531956,0.000010889278,0.00006420862,0.000046349953,0.00008786755],"domain_scores_gemma":[0.9991918,0.00031540557,0.00024088247,0.00008669329,0.000103632694,0.00006166006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008588863,0.0002939922,0.00030230344,0.0008268814,0.0004586575,0.0011203575,0.0007804883,0.00068477215,0.0034894198],"category_scores_gemma":[0.0040526977,0.0002693243,0.00039457672,0.0006476751,0.0006868525,0.0011345921,0.000629186,0.000749314,0.00045125812],"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":[0.00016973398,0.00014062326,0.2656176,0.000041753698,0.00016113305,0.0009793176,0.0021603561,0.2615401,0.0020453765,0.41043818,0.0032743048,0.05343146],"study_design_scores_gemma":[0.000047165384,0.00005915188,0.17643957,0.000054673794,0.00010619562,0.00036968288,0.0006211743,0.71352977,0.0008458893,0.10129587,0.006555023,0.000075781754],"about_ca_topic_score_codex":0.23275454,"about_ca_topic_score_gemma":0.15887071,"teacher_disagreement_score":0.23275454,"about_ca_system_score_codex":0.0024402484,"about_ca_system_score_gemma":0.0011168044,"threshold_uncertainty_score":0.4627995},"labels":[],"label_agreement":null},{"id":"W3095697412","doi":"","title":"A Relook: Effects of Age at Entry, Knowledge Intensity, and Imitability on International Growth","year":2020,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Thompson Rivers University","funders":"","keywords":"Political science; Business","score_opus":0.027758675344046985,"score_gpt":0.20661176588085994,"score_spread":0.17885309053681295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095697412","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":[0.9890472,0.0019389733,0.00074115384,0.0029990352,0.00018613308,0.000041159845,0.0011403806,0.000091576636,0.0038143345],"genre_scores_gemma":[0.9903412,0.0002771426,0.00012977242,0.00033005478,0.00014711326,0.000024681316,0.000495793,0.00003438132,0.0082197655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974394,0.0012204977,0.00012302783,0.00045164188,0.00010733401,0.0006580657],"domain_scores_gemma":[0.8941705,0.07999494,0.008061271,0.0033204865,0.0017245704,0.012728246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064831045,0.001295686,0.0018763855,0.0010558104,0.0011817984,0.005086056,0.003222786,0.0044333464,0.03425031],"category_scores_gemma":[0.026641317,0.0007478837,0.0037073954,0.0011016778,0.001840526,0.0054096985,0.0050518024,0.00509228,0.003045328],"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":[0.021090245,0.0041304976,0.91336787,0.0004417501,0.0032906851,0.0025775044,0.0024865596,0.0076920646,0.003359328,0.0066011646,0.009711341,0.025251037],"study_design_scores_gemma":[0.0018021194,0.006448704,0.9231469,0.00041444242,0.0067112274,0.000576469,0.010755981,0.026871914,0.0038954967,0.012064764,0.0069692875,0.00034268817],"about_ca_topic_score_codex":0.018666483,"about_ca_topic_score_gemma":0.016016014,"teacher_disagreement_score":0.03425031,"about_ca_system_score_codex":0.00096194213,"about_ca_system_score_gemma":0.002272761,"threshold_uncertainty_score":0.114578724},"labels":[],"label_agreement":null},{"id":"W3102754418","doi":"10.2139/ssrn.3737087","title":"Quality-adjusted Population Density","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Per capita income; Population density; Population; Per capita; Quarter (Canadian coin); Productivity; Econometrics; Developing country; Demographic economics; Economics; Geography; Statistics; Demography; Mathematics; Economic growth","score_opus":0.04307071882549324,"score_gpt":0.23376074855769513,"score_spread":0.1906900297322019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3102754418","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":[0.5387926,0.005488552,0.09426893,0.0028690966,0.0010674132,0.00045179407,0.3071684,0.0019352352,0.047957994],"genre_scores_gemma":[0.91868484,0.0005983921,0.0068619056,0.00032075122,0.00020941444,0.00012527996,0.059017945,0.00021325273,0.013968168],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971955,0.0007226718,0.00028635003,0.0009815474,0.00056731974,0.00024666422],"domain_scores_gemma":[0.9910419,0.002148181,0.0020665554,0.0015590702,0.0028830895,0.00030118038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028077343,0.0003507262,0.0006300816,0.0029118157,0.00030001593,0.0014953648,0.0012930841,0.00080734893,0.022383489],"category_scores_gemma":[0.022177598,0.00030302655,0.0013831215,0.0056294324,0.00041391994,0.0010407607,0.0008334221,0.0007040563,0.00543641],"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":[0.0003645004,0.0001410684,0.83536696,0.00038931743,0.0018163768,0.00014583401,0.00038368575,0.039172567,0.00057946536,0.022698699,0.042341754,0.05659975],"study_design_scores_gemma":[0.00006501263,0.00011581522,0.9086629,0.000095995056,0.00034182047,0.0005090146,0.0003526498,0.046176232,0.000621338,0.009252106,0.033730615,0.000076406235],"about_ca_topic_score_codex":0.06783234,"about_ca_topic_score_gemma":0.04412334,"teacher_disagreement_score":0.06783234,"about_ca_system_score_codex":0.0013729549,"about_ca_system_score_gemma":0.00075299107,"threshold_uncertainty_score":0.13487506},"labels":[],"label_agreement":null},{"id":"W3113437375","doi":"10.18280/ijsdp.150812","title":"Empirical Analysis on Regional Economic Growth from the Perspectives of Entrepreneurship and Investment in Research and Development","year":2020,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Entrepreneurship; Endowment; Investment (military); China; Economics; Panel data; Economic system; Economic geography; Finance; Political science","score_opus":0.13623396770303858,"score_gpt":0.31474299803715067,"score_spread":0.17850903033411208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113437375","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":[0.968368,0.0027806424,0.0052095624,0.0010536002,0.000029814786,0.0000248485,0.0010605839,0.000043459848,0.021429477],"genre_scores_gemma":[0.997922,0.00064664194,0.0004726514,0.000024719879,0.000015087098,0.000010118785,0.00041783022,0.0000046031487,0.00048637585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897444,0.0004151457,0.000054192682,0.00015847522,0.00018497616,0.00021288171],"domain_scores_gemma":[0.9939143,0.002921471,0.0015836941,0.00026643608,0.0007852545,0.0005288247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019301074,0.00027476833,0.0004718429,0.0020642467,0.00030996476,0.0012288357,0.00036716962,0.00018258826,0.0019288871],"category_scores_gemma":[0.0065704556,0.000108155116,0.00063516886,0.0048809964,0.00072486623,0.0012603604,0.001142251,0.0006958701,0.0002166308],"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":[0.00009296867,0.00008414702,0.9330035,0.00020605967,0.00030591126,0.0006839878,0.0010471806,0.01289713,0.00030907654,0.019452035,0.0015607879,0.030357335],"study_design_scores_gemma":[0.000015286449,0.000093832525,0.9496723,0.00014213612,0.00030629314,0.0003075896,0.006647095,0.023864442,0.0006861246,0.0061970353,0.01204502,0.000022804848],"about_ca_topic_score_codex":0.00938462,"about_ca_topic_score_gemma":0.01046048,"teacher_disagreement_score":0.00938462,"about_ca_system_score_codex":0.0009124281,"about_ca_system_score_gemma":0.0011086426,"threshold_uncertainty_score":0.018660009},"labels":[],"label_agreement":null},{"id":"W3113939344","doi":"10.2139/ssrn.3663430","title":"Productivity Gaps and Global Systematic Risk Exposure: Pricing Country-Industry Portfolios","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Productivity; Business; Economics; Financial economics; Economic growth","score_opus":0.012281646679294267,"score_gpt":0.19576922168341188,"score_spread":0.1834875750041176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113939344","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":[0.96992713,0.001179593,0.020967528,0.001379595,0.000044991768,0.000029411673,0.00030695845,0.0000769586,0.0060877376],"genre_scores_gemma":[0.9971238,0.0005004694,0.000710167,0.00004349792,0.00004550429,0.0000075775274,0.00014242927,0.000013868419,0.0014126477],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994711,0.00021828078,0.000026338039,0.0000959407,0.00007294615,0.00011545968],"domain_scores_gemma":[0.98899007,0.0072522643,0.002001727,0.0005893848,0.00046429917,0.0007022629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037511326,0.00048594957,0.00074455986,0.0016458428,0.0002543462,0.0031696216,0.00060135743,0.0020332267,0.005309691],"category_scores_gemma":[0.023560232,0.000339539,0.00062729267,0.0020103096,0.001097924,0.0038478954,0.0019631651,0.0016332803,0.0004444511],"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":[0.0012869264,0.00029143467,0.45201382,0.00024321291,0.0009485856,0.0012049591,0.0016582115,0.24382961,0.0021833153,0.18596731,0.0073666414,0.10300604],"study_design_scores_gemma":[0.00008921637,0.0006764542,0.2487611,0.00020011143,0.0004662409,0.00047007645,0.0029832304,0.42966163,0.001272809,0.31141254,0.0038632366,0.00014331765],"about_ca_topic_score_codex":0.0019742027,"about_ca_topic_score_gemma":0.0024012215,"teacher_disagreement_score":0.005309691,"about_ca_system_score_codex":0.0006037824,"about_ca_system_score_gemma":0.0004066297,"threshold_uncertainty_score":0.019838095},"labels":[],"label_agreement":null},{"id":"W3114094924","doi":"","title":"The Strategic Value of IT in Setting Productive Capacity","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Capacity utilization; Capital (architecture); Physical capital; Economics; Capital intensity; Investment (military); Production (economics); Capital deepening; Microeconomics; Financial capital; Economic capital; Yield (engineering); Cost of capital; Fixed capital; Fixed investment; Value (mathematics); Industrial organization; Monetary economics; Capital formation; Market economy; Human capital; Incentive; Mathematics","score_opus":0.018914157302293205,"score_gpt":0.2044577588985673,"score_spread":0.1855436015962741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114094924","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":[0.43624842,0.0031392467,0.08180409,0.009630159,0.00025656863,0.00012101021,0.00036341744,0.00015141447,0.46828565],"genre_scores_gemma":[0.9946485,0.00042637571,0.0024953203,0.00019422483,0.000031674175,0.000019011639,0.000033245386,0.000010658228,0.002141075],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99843746,0.0005855312,0.000082116596,0.00015683373,0.00028953518,0.00044843016],"domain_scores_gemma":[0.99480647,0.0024169553,0.00090807566,0.00044858464,0.0005734725,0.0008464317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017544283,0.0005100926,0.00028148902,0.0011257645,0.0009894713,0.0052782716,0.00065313047,0.0011022005,0.0050031673],"category_scores_gemma":[0.007400295,0.00025947866,0.00038840587,0.0017943343,0.0048619,0.005096176,0.002781876,0.0014019541,0.00071668986],"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":[0.00018626165,0.00007727192,0.022240376,0.00030599057,0.000094720875,0.00074033794,0.0012141616,0.041685585,0.003460237,0.87818485,0.0029648687,0.048845258],"study_design_scores_gemma":[0.00006594729,0.0003138785,0.022308677,0.00046059623,0.0001258808,0.00085179554,0.005364229,0.02425622,0.0061844084,0.8703667,0.06959718,0.000104497085],"about_ca_topic_score_codex":0.0036730152,"about_ca_topic_score_gemma":0.0051620686,"teacher_disagreement_score":0.0052782716,"about_ca_system_score_codex":0.0030851304,"about_ca_system_score_gemma":0.0033840227,"threshold_uncertainty_score":0.022384346},"labels":[],"label_agreement":null},{"id":"W3118588951","doi":"10.5430/ijfr.v12n1p339","title":"Dynamic Analysis for Measuring the Impact of Remittance Inflows on Inflation: Evidence From Georgia","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Remittance; Economics; Inflation (cosmology); Monetary economics; Inflation rate; Variable (mathematics); Short run; Macroeconomics; Monetary policy; Economic growth","score_opus":0.1397360236564557,"score_gpt":0.3811246403613456,"score_spread":0.24138861670488987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118588951","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":[0.9972771,0.00012699266,0.00017824491,0.00017525136,0.0000055160563,0.000007855561,0.00054144295,0.0000063299644,0.001681311],"genre_scores_gemma":[0.99862635,0.00012363616,0.0001319823,0.000024958155,0.0000046273867,0.0000044814938,0.00076953584,0.0000020722348,0.00031233107],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995596,0.00016194614,0.000028856823,0.00007666438,0.000091140944,0.000081828664],"domain_scores_gemma":[0.99737656,0.000835101,0.00093227695,0.00019678005,0.0004457713,0.00021358418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006986367,0.00015072254,0.00021006328,0.0011395367,0.00028460257,0.0005235788,0.00034743108,0.0002837102,0.0006776933],"category_scores_gemma":[0.0030049998,0.00015421757,0.00039784575,0.002486654,0.00029261023,0.0002438554,0.0005184577,0.0007361549,0.00026549367],"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":[0.00016861771,0.00011111796,0.9834926,0.000049696777,0.00012770425,0.00031890147,0.00084835564,0.001923518,0.000906336,0.0009896735,0.001354072,0.009709439],"study_design_scores_gemma":[0.0000058326686,0.00006573635,0.99564606,0.000018812365,0.00004175222,0.00005962068,0.00088517595,0.0018657958,0.00017026858,0.00015145056,0.0010821825,0.000007314034],"about_ca_topic_score_codex":0.10840544,"about_ca_topic_score_gemma":0.17421357,"teacher_disagreement_score":0.10840544,"about_ca_system_score_codex":0.0010394695,"about_ca_system_score_gemma":0.0009287091,"threshold_uncertainty_score":0.21554887},"labels":[],"label_agreement":null},{"id":"W3121197529","doi":"","title":"Globalization and Growth","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Lagging; Globalization; Incentive; Competition (biology); Economics; Industrial organization; Economic integration; Process (computing); International economics; International trade; Economic geography; Business; Economic system; Market economy","score_opus":0.03627550437075113,"score_gpt":0.2726236985420425,"score_spread":0.23634819417129135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121197529","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":[0.18725535,0.10215694,0.011584848,0.16976805,0.0027451452,0.00004748485,0.0012404353,0.00015850352,0.52504337],"genre_scores_gemma":[0.940603,0.034974337,0.0012757354,0.0034126404,0.0015361159,0.000035365974,0.00027076303,0.00004622501,0.01784579],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995388,0.00018114726,0.00001925646,0.00010652033,0.000083328014,0.00007095581],"domain_scores_gemma":[0.99811566,0.0008074607,0.00036548302,0.00014036434,0.0003205938,0.0002505183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009929395,0.00039678527,0.0004389455,0.0010355529,0.0007043154,0.004424335,0.00026751522,0.0014596288,0.011200817],"category_scores_gemma":[0.0030343682,0.00011682539,0.00040126525,0.0017149429,0.0024605258,0.0030770574,0.0017386425,0.0014245503,0.0009879534],"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":[0.00004354949,0.00006557546,0.011249818,0.0002993845,0.000051906976,0.00021603459,0.0010667641,0.0038102819,0.0005835973,0.9010741,0.022991545,0.05854756],"study_design_scores_gemma":[0.000010538727,0.00003149736,0.011379532,0.00039567146,0.000023401892,0.00012073526,0.0014010838,0.0015203089,0.0003035996,0.84603465,0.13875772,0.000021270369],"about_ca_topic_score_codex":0.0011926106,"about_ca_topic_score_gemma":0.0005677755,"teacher_disagreement_score":0.011200817,"about_ca_system_score_codex":0.0013102844,"about_ca_system_score_gemma":0.0006864691,"threshold_uncertainty_score":0.03747046},"labels":[],"label_agreement":null},{"id":"W3121235242","doi":"10.3386/w20881","title":"Equilibrium Technology Diffusion, Trade, and Growth","year":2015,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Diffusion; Economics; International economics; International trade; Thermodynamics; Physics","score_opus":0.3166551456152373,"score_gpt":0.4287617965877388,"score_spread":0.1121066509725015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121235242","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":[0.8888472,0.0011701911,0.063129336,0.0040732375,0.00004830476,0.000053787375,0.00085019146,0.00024291326,0.041584857],"genre_scores_gemma":[0.9919857,0.00065362494,0.0022076657,0.000070701644,0.00001882148,0.00003184637,0.0001797803,0.00002258948,0.0048292866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996984,0.00009476369,0.000011597901,0.00006044804,0.00003647554,0.00009837095],"domain_scores_gemma":[0.99701726,0.0019136741,0.00055792194,0.00015351256,0.00016733493,0.00019028105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011392604,0.000595371,0.00080062775,0.001028765,0.0007308714,0.0029174155,0.000594831,0.0017651671,0.00767094],"category_scores_gemma":[0.007785714,0.00038746852,0.00088165066,0.0011785541,0.0012443543,0.0041152863,0.001266883,0.001214595,0.0007273878],"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":[0.00026737357,0.00019882423,0.015561338,0.00010362863,0.000074523334,0.00051107863,0.00034685116,0.52745926,0.0037739116,0.43333143,0.0033225436,0.015049225],"study_design_scores_gemma":[0.000118385025,0.00011793552,0.0049250433,0.0000424838,0.000041236603,0.00022129112,0.00038857583,0.56217104,0.001199325,0.42750773,0.003222919,0.00004396346],"about_ca_topic_score_codex":0.0065440065,"about_ca_topic_score_gemma":0.0040334146,"teacher_disagreement_score":0.00767094,"about_ca_system_score_codex":0.0022033802,"about_ca_system_score_gemma":0.0008484138,"threshold_uncertainty_score":0.025661826},"labels":[],"label_agreement":null},{"id":"W3121245831","doi":"10.1920/wp.ifs.2004.0415","title":"Changes in the world distribution of output-per-worker 1960-98: how a standard decomposition tells an unorthodox story","year":2017,"lang":"en","type":"paratext","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Bishop's University","funders":"","keywords":"Decomposition; Distribution (mathematics); Statistics; Mathematics; Econometrics; Biology; Mathematical analysis; Ecology","score_opus":0.04991849263064531,"score_gpt":0.27096255278147424,"score_spread":0.22104406015082895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121245831","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":[0.9126498,0.009394725,0.012490548,0.010869527,0.0005625173,0.000019625095,0.009667646,0.0001459335,0.0441997],"genre_scores_gemma":[0.9902384,0.0037335292,0.0012975839,0.00027182992,0.00017125356,0.0000099060135,0.0019546032,0.00004085652,0.0022819005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980193,0.000035962155,0.000019566516,0.0000662605,0.00003823897,0.000038018068],"domain_scores_gemma":[0.9994072,0.00014650429,0.00023047878,0.00009187742,0.0000891073,0.000034841218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064677413,0.00022543462,0.00025943984,0.0019180484,0.00026820294,0.0016992335,0.00025299785,0.0003724562,0.003106482],"category_scores_gemma":[0.0023108502,0.00013049414,0.00031800318,0.002642637,0.0011671892,0.0019807958,0.00056174904,0.0007769684,0.0005581939],"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":[0.0006946042,0.000088591165,0.43780097,0.00046411727,0.0005957383,0.0010474765,0.004239934,0.014920772,0.0026653474,0.30541027,0.032888778,0.1991835],"study_design_scores_gemma":[0.000033252203,0.00008243637,0.8422455,0.00042159724,0.00007672754,0.00053485925,0.0022058885,0.0046742484,0.0013899594,0.084243186,0.06402221,0.00007016335],"about_ca_topic_score_codex":0.0085720895,"about_ca_topic_score_gemma":0.0055461526,"teacher_disagreement_score":0.0085720895,"about_ca_system_score_codex":0.0009443891,"about_ca_system_score_gemma":0.00018790293,"threshold_uncertainty_score":0.017044425},"labels":[],"label_agreement":null},{"id":"W3121248712","doi":"10.2139/ssrn.1333627","title":"North-South Trade-Related Technology Diffusion and Productivity Growth: Are Small States Different?","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Carleton University","funders":"","keywords":"Productivity; Diffusion; International trade; Economic geography; International economics; Economics; Agricultural economics; Business; Geography; Macroeconomics","score_opus":0.009268569550514708,"score_gpt":0.17037592275412067,"score_spread":0.16110735320360597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121248712","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":[0.98744303,0.0005134444,0.0008167917,0.002244029,0.00001972371,0.0000051992783,0.00024127158,0.000013195053,0.008703232],"genre_scores_gemma":[0.9991708,0.00015122807,0.000083634994,0.000087258144,0.000010402614,0.000002277384,0.00006253711,0.0000030880872,0.00042890004],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997764,0.000055182827,0.000015164369,0.00006612215,0.000020579828,0.00006655932],"domain_scores_gemma":[0.99545985,0.002493693,0.0010515458,0.00024139856,0.00026351548,0.00048996374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095391937,0.00015202911,0.00052111945,0.00073881116,0.0005622456,0.0023308597,0.00031596,0.0007024007,0.0063786665],"category_scores_gemma":[0.004069539,0.00018781729,0.00053212,0.0016595592,0.0015828671,0.0032237435,0.0009686766,0.0007037447,0.00035334058],"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":[0.0011802765,0.00022668009,0.82203,0.00017012302,0.00068253156,0.0004932226,0.0052136662,0.0059701917,0.0031165478,0.118915975,0.0031024045,0.038898464],"study_design_scores_gemma":[0.00009571622,0.00010188949,0.9144952,0.0000720492,0.00053058943,0.00012486272,0.007467195,0.0051498194,0.0010393992,0.067874655,0.0030103975,0.00003830053],"about_ca_topic_score_codex":0.016875321,"about_ca_topic_score_gemma":0.024025215,"teacher_disagreement_score":0.016875321,"about_ca_system_score_codex":0.000720961,"about_ca_system_score_gemma":0.000500153,"threshold_uncertainty_score":0.033554196},"labels":[],"label_agreement":null},{"id":"W3121248734","doi":"","title":"Patent Protection and the Industrial Composition of Multinational Activity: Evidence from U.S. Multinational Firms","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Multinational corporation; Endogeneity; Technology transfer; Business; Robustness (evolution); Industrial organization; Developing country; International trade; Incentive; International economics; Economics; Market economy; Economic growth; Finance","score_opus":0.18078954385150406,"score_gpt":0.30514131405185274,"score_spread":0.12435177020034868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121248734","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":[0.9953121,0.001230206,0.00012485615,0.00030105017,0.000004151545,0.0000075361972,0.0006221391,0.0000040889704,0.0023937896],"genre_scores_gemma":[0.99806744,0.0006907531,0.00008675693,0.000050475068,0.000012383541,0.0000046718346,0.000757614,0.0000019688143,0.00032793093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883205,0.00032851976,0.00013534598,0.00022783823,0.00027197791,0.00020430065],"domain_scores_gemma":[0.95454997,0.012347397,0.027247028,0.0017652849,0.0022082925,0.0018819284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022721381,0.00018782698,0.00034219702,0.003277734,0.00056162244,0.0012829609,0.0004182503,0.0005373237,0.002818635],"category_scores_gemma":[0.015411667,0.00018450904,0.0003802447,0.006361017,0.0011125798,0.0010307315,0.0012260105,0.00060938275,0.00047192257],"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":[0.00008313152,0.00007576585,0.9891321,0.00003581599,0.000087019034,0.00007409817,0.00054331956,0.0003401836,0.00021591918,0.0005960267,0.0004332795,0.008383269],"study_design_scores_gemma":[0.000008116058,0.0000360335,0.99780184,0.000023392078,0.000026421012,0.000039140148,0.00046887912,0.00023873188,0.0001810359,0.00019261213,0.0009791522,0.000004673265],"about_ca_topic_score_codex":0.029599376,"about_ca_topic_score_gemma":0.037251353,"teacher_disagreement_score":0.029599376,"about_ca_system_score_codex":0.00081060437,"about_ca_system_score_gemma":0.0006165143,"threshold_uncertainty_score":0.058854163},"labels":[],"label_agreement":null},{"id":"W3121290877","doi":"","title":"Technological Regimes, Catching-up and Leapfrogging: Findings from the Korean Industries","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Leapfrogging; Stylized fact; Technological change; Industrial organization; Business; Mobile phone; Marketing; Economics; Telecommunications; Engineering; Economic growth","score_opus":0.019368664728616668,"score_gpt":0.20073787835539633,"score_spread":0.18136921362677966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121290877","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":[0.9993026,0.00004216392,0.0000284259,0.000025368257,2.485964e-7,0.000002373731,0.000018064758,4.912449e-7,0.0005803163],"genre_scores_gemma":[0.99955374,0.00008531073,0.000041005245,0.0000162931,4.5623665e-7,0.0000026556413,0.000038002214,0.0000013487416,0.00026115638],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948776,0.00012215685,0.00005758539,0.00008712316,0.0000758453,0.00016952134],"domain_scores_gemma":[0.9948396,0.0020687256,0.001911615,0.00028225488,0.0003957245,0.00050199556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012147635,0.00015911843,0.00024127097,0.0015680991,0.0010693183,0.0017482402,0.00052569207,0.0005072805,0.0018992996],"category_scores_gemma":[0.004662783,0.0002797556,0.00025800025,0.0019725047,0.0011347136,0.0023112646,0.0022765487,0.00067530526,0.00018432687],"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":[0.000118590906,0.00013296505,0.7856268,0.00013111353,0.000034877634,0.0013459203,0.19420283,0.00029512207,0.0011441872,0.0014927945,0.0002972646,0.015177522],"study_design_scores_gemma":[0.0000052766,0.00010544489,0.632747,0.000072778865,0.000017257998,0.00034024898,0.36242646,0.00052394986,0.0004800841,0.00038024347,0.0028723972,0.000028849332],"about_ca_topic_score_codex":0.015460779,"about_ca_topic_score_gemma":0.022601455,"teacher_disagreement_score":0.015460779,"about_ca_system_score_codex":0.00073144486,"about_ca_system_score_gemma":0.000567515,"threshold_uncertainty_score":0.030741572},"labels":[],"label_agreement":null},{"id":"W3121339372","doi":"","title":"The Lion on the Move Towards the World Frontier: Catching Up or Remaining Stuck?","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Frontier; Economics; Productivity; Per capita; Human capital; Per capita income; Quarter (Canadian coin); Total factor productivity; Demographic economics; Labour economics; Economy; Macroeconomics; Geography; Economic growth; Population","score_opus":0.08512146706491125,"score_gpt":0.304546973078402,"score_spread":0.21942550601349076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121339372","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":[0.60416293,0.03781545,0.004111868,0.2368365,0.0018535744,0.00004556539,0.0008006354,0.00013795492,0.114235535],"genre_scores_gemma":[0.9678812,0.0116293635,0.0012450462,0.00956376,0.0004895423,0.00002249806,0.00020883931,0.00008168801,0.008878016],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99887305,0.00032474162,0.00003063863,0.00016085982,0.00015941056,0.00045122774],"domain_scores_gemma":[0.9979924,0.0005542062,0.00047874305,0.00015412018,0.00034128435,0.00047922542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023966134,0.00033176126,0.0006580072,0.0016412869,0.004062039,0.01057642,0.0008475714,0.0017401495,0.011519492],"category_scores_gemma":[0.006578899,0.00018879259,0.00038791538,0.0033609474,0.0058284,0.016431075,0.004360808,0.0035987198,0.0012474908],"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":[0.00037583057,0.00014495902,0.1374429,0.00091494335,0.00013626865,0.0033972554,0.12555683,0.00088637584,0.0014381539,0.26440457,0.08556498,0.37973696],"study_design_scores_gemma":[0.00001644232,0.00026079186,0.14561461,0.0017668944,0.00009726069,0.0010805058,0.39301676,0.0010670833,0.0010506919,0.11996175,0.33593342,0.00013377001],"about_ca_topic_score_codex":0.0145980185,"about_ca_topic_score_gemma":0.026502911,"teacher_disagreement_score":0.0145980185,"about_ca_system_score_codex":0.0028241675,"about_ca_system_score_gemma":0.0025933045,"threshold_uncertainty_score":0.03853655},"labels":[],"label_agreement":null},{"id":"W3121342730","doi":"","title":"Innovation Capabilities: Technology Use, Productivity Growth and Business Performance: Evidence from Canadian Technology Surveys","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Warrant; Industrial organization; Business; Marketing; Economics; Economic growth","score_opus":0.05757583834589647,"score_gpt":0.27391204653717,"score_spread":0.21633620819127353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121342730","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":[0.9633566,0.007877273,0.00075502694,0.0011872137,0.000019401137,0.0000619878,0.011254258,0.000031079424,0.015457179],"genre_scores_gemma":[0.98643726,0.0058789714,0.000456573,0.00010742224,0.000014503786,0.00003152157,0.0044483687,0.0000070839333,0.0026183764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977584,0.00023765294,0.000120489276,0.0001794672,0.0013704818,0.0003334817],"domain_scores_gemma":[0.98064363,0.005340745,0.0054018525,0.00060116226,0.0066349036,0.0013778126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026680403,0.0003858327,0.00040205705,0.0060148947,0.0013544094,0.0017026083,0.00074216863,0.00045817683,0.0025371052],"category_scores_gemma":[0.014856898,0.00023443584,0.00051618717,0.019108403,0.00083191134,0.00084790506,0.0011964815,0.00052286836,0.00029059438],"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":[0.000049008693,0.00004565978,0.9675456,0.00017064752,0.00016416302,0.000048788213,0.0010276298,0.0007545747,0.00007365135,0.0009068758,0.0020277046,0.027185561],"study_design_scores_gemma":[0.0000022080437,0.000009160426,0.9969896,0.000037657843,0.000023091414,0.0000115486755,0.00043342408,0.00023239355,0.00004538705,0.00008437705,0.0021220704,0.0000090166],"about_ca_topic_score_codex":0.9713198,"about_ca_topic_score_gemma":0.9807762,"teacher_disagreement_score":0.028680205,"about_ca_system_score_codex":0.008110622,"about_ca_system_score_gemma":0.014471086,"threshold_uncertainty_score":0.05884701},"labels":[],"label_agreement":null},{"id":"W3121368161","doi":"","title":"New Economy: Using National Accounting Architecture to Estimate the Size of the High-technology Economy","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Commodity; National accounts; Information and Communications Technology; Economy; Industrial organization; Information technology; Information economy; Digital economy; Economics; Principal (computer security); New economy; Architecture; National economy; Business; Computer science; Economic system; Accounting; Macroeconomics; Market economy; Geography","score_opus":0.035520041810431245,"score_gpt":0.3108251652277171,"score_spread":0.27530512341728586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121368161","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":[0.6932077,0.0016218608,0.07000005,0.0017893673,0.00012424882,0.0007553748,0.11875204,0.0014964989,0.11225284],"genre_scores_gemma":[0.9179787,0.00071730174,0.03922524,0.00008162466,0.00003057264,0.00023068096,0.032174747,0.0000925136,0.0094686765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818254,0.00018702875,0.00010289933,0.00017306705,0.0011368751,0.00021755615],"domain_scores_gemma":[0.9900158,0.0008286201,0.001169216,0.00077060773,0.00681242,0.0004033714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019479089,0.00032395928,0.0002733623,0.008725446,0.0012970411,0.0026917693,0.000753051,0.00020297592,0.0023484575],"category_scores_gemma":[0.012950646,0.00018975812,0.0003258276,0.01484262,0.000480471,0.0012756202,0.00086167495,0.00039677543,0.0002999639],"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":[0.00012371333,0.000036132995,0.76017886,0.00011944984,0.00020159113,0.00009782545,0.0010692491,0.019425526,0.000650661,0.055582248,0.03231035,0.13020442],"study_design_scores_gemma":[0.000016597616,0.000019762972,0.8419993,0.000079753314,0.00008099836,0.00008760125,0.0013315516,0.074705526,0.0016526147,0.009680549,0.07028008,0.000065648666],"about_ca_topic_score_codex":0.96317923,"about_ca_topic_score_gemma":0.9602066,"teacher_disagreement_score":0.96317923,"about_ca_system_score_codex":0.02014634,"about_ca_system_score_gemma":0.022276547,"threshold_uncertainty_score":0.14617258},"labels":[],"label_agreement":null},{"id":"W3121368852","doi":"10.1257/mac.20150281","title":"Misallocation, Establishment Size, and Productivity","year":2017,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Total factor productivity; Productivity; Econometrics; Partial productivity; Investment (military); Offset (computer science); Macroeconomics","score_opus":0.01591923476030734,"score_gpt":0.23312748833990873,"score_spread":0.21720825357960138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121368852","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":[0.93959296,0.00089038344,0.034837037,0.0025239177,0.00006956657,0.00012267604,0.0027554384,0.00026721766,0.01894071],"genre_scores_gemma":[0.9924212,0.00033667756,0.0013654968,0.00006721425,0.00003145792,0.000034133118,0.0003301609,0.000014064975,0.005399614],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9990103,0.00023590111,0.00005847951,0.00021736104,0.0001074226,0.000370482],"domain_scores_gemma":[0.9890114,0.003062958,0.005274284,0.0010509847,0.00048044976,0.0011199706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001976421,0.00067971885,0.0010289258,0.0010633589,0.000735398,0.0031457203,0.0022069383,0.0016897644,0.0128224995],"category_scores_gemma":[0.009324727,0.000588845,0.0008511052,0.0018622368,0.002209029,0.0029566304,0.0017752689,0.0012689475,0.0019183069],"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":[0.0008380336,0.0003688412,0.15166095,0.0002511319,0.00021007481,0.0010450062,0.00057088904,0.68551886,0.0026838158,0.1260563,0.008110925,0.022685178],"study_design_scores_gemma":[0.0005722025,0.0005768493,0.12729116,0.0001235181,0.00028658158,0.0012639136,0.0019651558,0.68053013,0.0023627589,0.17123884,0.013566164,0.00022271053],"about_ca_topic_score_codex":0.018540468,"about_ca_topic_score_gemma":0.017438693,"teacher_disagreement_score":0.018540468,"about_ca_system_score_codex":0.0048895963,"about_ca_system_score_gemma":0.0016974073,"threshold_uncertainty_score":0.042895555},"labels":[],"label_agreement":null},{"id":"W3121385777","doi":"","title":"Short-Run Assessment of French Economic Activity Using OPTIM","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"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":"National accounts; Consumption (sociology); Quarter (Canadian coin); Economics; Econometrics; Investment (military); Real gross domestic product; Production (economics); Economic indicator; GDP deflator; Macroeconomics; Geography","score_opus":0.10259447202792682,"score_gpt":0.33923844766032396,"score_spread":0.23664397563239714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121385777","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":[0.82185096,0.0011922547,0.12177461,0.0017175156,0.00008214903,0.00015150252,0.01722688,0.0023179178,0.03368625],"genre_scores_gemma":[0.9749913,0.0004174191,0.011062072,0.00007756001,0.000042423133,0.00016247583,0.007565908,0.000109349094,0.0055714934],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9996284,0.00015556399,0.000016756683,0.00010098212,0.00005370782,0.000044432833],"domain_scores_gemma":[0.99945325,0.00022803886,0.00009107712,0.00005138712,0.00013107577,0.00004524115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010516549,0.0008337585,0.00054171437,0.0011572697,0.00027322993,0.0021925026,0.00066698133,0.0007070569,0.0041137096],"category_scores_gemma":[0.0020401108,0.00030023427,0.0009067873,0.0007962798,0.00028977852,0.0006611374,0.00053374574,0.00054095563,0.00075938215],"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":[0.00009344856,0.000029757013,0.0212378,0.000055310076,0.000099622725,0.00013875941,0.00012222736,0.9546506,0.00036069815,0.00982658,0.002260888,0.011124408],"study_design_scores_gemma":[0.000012268613,0.000044878136,0.008492514,0.000017089467,0.000021997346,0.0000461903,0.000056748002,0.9852025,0.00023845569,0.0026870472,0.0031535223,0.000026675236],"about_ca_topic_score_codex":0.07132763,"about_ca_topic_score_gemma":0.02737591,"teacher_disagreement_score":0.07132763,"about_ca_system_score_codex":0.0017995565,"about_ca_system_score_gemma":0.00092877104,"threshold_uncertainty_score":0.1418249},"labels":[],"label_agreement":null},{"id":"W3121449590","doi":"","title":"Growth Theory and Industrial Revolutions in Britain and America","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Economics; Externality; Growth theory; Industrial Revolution; Technological change; Endogenous growth theory; Neoclassical economics; Economic expansion; State (computer science); Economic system; Macroeconomics; Market economy; Political science; Microeconomics; Human capital","score_opus":0.01533003318128175,"score_gpt":0.194745380472634,"score_spread":0.17941534729135225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121449590","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":[0.2821843,0.12243107,0.0030332769,0.10038207,0.0011620123,0.00001481213,0.00030334023,0.00006264238,0.4904265],"genre_scores_gemma":[0.93890476,0.025959032,0.00056990713,0.0020030546,0.00054172374,0.000014854097,0.00015772202,0.000031736497,0.031817306],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994924,0.0001705533,0.000018820403,0.00006726881,0.0000961171,0.0001547778],"domain_scores_gemma":[0.99915457,0.0004341499,0.00013600348,0.00004070788,0.0001241799,0.000110331675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089881505,0.00021805383,0.00036941457,0.0020161066,0.0015736753,0.0023593474,0.00035033037,0.0013054892,0.003643938],"category_scores_gemma":[0.0026548973,0.0001729709,0.0002528558,0.0036575224,0.0048431177,0.0018545303,0.0014057518,0.0019236854,0.0004827347],"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":[0.000037535956,0.000028732591,0.0026020082,0.0000577227,0.000008468621,0.00022250316,0.003531533,0.0021244881,0.00008546635,0.9582347,0.0112783015,0.021788519],"study_design_scores_gemma":[0.00004294003,0.000034804056,0.03059811,0.00033702797,0.000016721113,0.00019564285,0.0035495549,0.0028053408,0.00014154981,0.75767624,0.20456783,0.000034258457],"about_ca_topic_score_codex":0.0699152,"about_ca_topic_score_gemma":0.062596105,"teacher_disagreement_score":0.0699152,"about_ca_system_score_codex":0.006980808,"about_ca_system_score_gemma":0.0015196659,"threshold_uncertainty_score":0.13901651},"labels":[],"label_agreement":null},{"id":"W3121535947","doi":"","title":"Whatever Happened to Canada-United States Economic Growth and Productivity Performance in the Information Age?","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Information technology; Productivity paradox; Multifactor productivity; Economics; Business; Total factor productivity; Agricultural economics; Economic growth; Political science","score_opus":0.024772243127751815,"score_gpt":0.23981174710895226,"score_spread":0.21503950398120045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121535947","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":[0.5324361,0.03918764,0.0013371769,0.24524808,0.0015351246,0.000060615148,0.02377227,0.00021644897,0.15620665],"genre_scores_gemma":[0.96591425,0.01247263,0.00044557735,0.0054666456,0.00041077603,0.000011291263,0.0029398263,0.000044094537,0.012294898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979121,0.00012777273,0.00006650684,0.0002162884,0.00075939187,0.00091793004],"domain_scores_gemma":[0.98990846,0.0008731291,0.00079819525,0.00024045265,0.0068576923,0.0013220545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002508608,0.00044664394,0.00067394093,0.0037945856,0.0045535685,0.006565456,0.0008361055,0.0016266528,0.007537689],"category_scores_gemma":[0.01512567,0.00018893412,0.0006242748,0.01205362,0.0028221202,0.0039660507,0.0015492779,0.0027400337,0.00074006646],"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":[0.0007130178,0.00018420837,0.50034136,0.00035893518,0.0002923306,0.0005565559,0.006023336,0.0042986665,0.00038209342,0.16536823,0.14840668,0.17307463],"study_design_scores_gemma":[0.000051488674,0.000061233826,0.81826395,0.00054798747,0.00024245489,0.00013920662,0.0126035735,0.002248355,0.0010604194,0.016728904,0.14789234,0.00016011005],"about_ca_topic_score_codex":0.9936008,"about_ca_topic_score_gemma":0.99434304,"teacher_disagreement_score":0.06843008,"about_ca_system_score_codex":0.06843008,"about_ca_system_score_gemma":0.073209405,"threshold_uncertainty_score":0.49649733},"labels":[],"label_agreement":null},{"id":"W3121543177","doi":"10.22215/etd/2017-12149","title":"Three Essays in Macroeconomics with a Focus on Economic Growth, Monetary Policy and Knowlege Dissemination","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Economics; Spillover effect; Interest rate; Endogenous growth theory; Stock (firearms); Monetary economics; Macroeconomics; Human capital; Market economy; Engineering","score_opus":0.012685203802230262,"score_gpt":0.2347182951005184,"score_spread":0.22203309129828813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121543177","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004821031,0.21175618,0.00801677,0.44366267,0.10297134,0.00008145617,0.00045088417,0.00013166052,0.228108],"genre_scores_gemma":[0.10460802,0.28222775,0.007731442,0.08510794,0.14436355,0.00037531104,0.0009098562,0.0006255079,0.37405065],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982077,0.0004917278,0.00011392258,0.00021139349,0.00078314304,0.00019218065],"domain_scores_gemma":[0.9912321,0.005000043,0.00048632795,0.0005204969,0.0017559854,0.0010049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036150343,0.00089750614,0.0006491696,0.00305397,0.0032713169,0.006871636,0.0007196664,0.003009811,0.010855031],"category_scores_gemma":[0.012057919,0.00034679688,0.00070445804,0.0037197662,0.0069120624,0.0047508194,0.003051542,0.0070489007,0.0033319613],"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":[0.000040541545,0.000078764635,0.0005871509,0.0003724389,0.000017292694,0.00008366097,0.0025390005,0.00032950682,0.0002647092,0.36081174,0.5769089,0.057966255],"study_design_scores_gemma":[0.000009159533,0.000018051223,0.0011069448,0.00097492035,0.000008232649,0.00006623454,0.0008512519,0.00011738221,0.0001395571,0.058653213,0.93803746,0.000017525537],"about_ca_topic_score_codex":0.002631425,"about_ca_topic_score_gemma":0.0033113256,"teacher_disagreement_score":0.010855031,"about_ca_system_score_codex":0.004905948,"about_ca_system_score_gemma":0.0036949818,"threshold_uncertainty_score":0.036313653},"labels":[],"label_agreement":null},{"id":"W3121554189","doi":"","title":"The Effect of Aging on Entrepreneurial Behavior","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Risk aversion (psychology); Liberian dollar; Wage; Economics; Microeconomics; Labour economics; Demographic economics; Expected utility hypothesis; Finance; Financial economics","score_opus":0.006011455816467338,"score_gpt":0.19440788596011124,"score_spread":0.1883964301436439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121554189","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":[0.9955201,0.00042407616,0.00030325426,0.0005812154,0.000013395693,0.0000052769583,0.00011922952,0.000005417895,0.0030279506],"genre_scores_gemma":[0.9984269,0.00025168352,0.0000841976,0.000055930443,0.000012299276,0.0000032161843,0.000048948557,0.0000015033295,0.001115396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996197,0.00018711256,0.000015336565,0.000038392507,0.00003017598,0.00010924696],"domain_scores_gemma":[0.9947353,0.0026483512,0.0011425503,0.00026982,0.00016527117,0.0010386067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001118645,0.0001876367,0.00025565716,0.00029011298,0.00033805467,0.00071055087,0.00018258374,0.0005506452,0.0050296355],"category_scores_gemma":[0.007922587,0.000103118735,0.00035356736,0.00022322602,0.00042919925,0.00050022354,0.0006609871,0.00055119995,0.00037365846],"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":[0.0014452814,0.0013207496,0.9317928,0.000036302714,0.00013446457,0.00065473764,0.0008029258,0.0044889734,0.00084315304,0.0053840275,0.0014450927,0.05165153],"study_design_scores_gemma":[0.000048528433,0.000784284,0.97805846,0.000027383523,0.0001393107,0.0004167556,0.0007313626,0.009342657,0.0003853045,0.0077975485,0.0022458918,0.000022334181],"about_ca_topic_score_codex":0.0042836275,"about_ca_topic_score_gemma":0.0048953327,"teacher_disagreement_score":0.0050296355,"about_ca_system_score_codex":0.00043703333,"about_ca_system_score_gemma":0.00032965984,"threshold_uncertainty_score":0.016825855},"labels":[],"label_agreement":null},{"id":"W3121575414","doi":"","title":"Contracting Productivity Growth","year":2000,"lang":"en","type":"preprint","venue":"Tilburg University Research Portal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Profitability index; Productivity; Slowdown; Economics; Production (economics); Labour economics; Endogenous growth theory; Monetary economics; Microeconomics; Macroeconomics; Human capital; Market economy; Finance","score_opus":0.09212860866150473,"score_gpt":0.27475428873495306,"score_spread":0.18262568007344832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121575414","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":[0.13984817,0.0047259363,0.26141226,0.011959795,0.00058312964,0.00035015563,0.0016118308,0.0004565778,0.57905215],"genre_scores_gemma":[0.84593177,0.0054788566,0.029558977,0.0014073417,0.0009620622,0.00043861,0.0009410138,0.0002004694,0.11508095],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9974934,0.00054349646,0.000102526006,0.0004329109,0.00080468174,0.000623079],"domain_scores_gemma":[0.99230415,0.0029026153,0.0017517979,0.00129327,0.0011118763,0.0006363364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038523227,0.0009285233,0.0006489114,0.0016924477,0.0014443645,0.0033637835,0.0012096784,0.0011622122,0.028791973],"category_scores_gemma":[0.012491353,0.00031363082,0.0011686834,0.001896495,0.0023078541,0.0034772507,0.0029822646,0.002462275,0.003720243],"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":[0.00006285151,0.00007657534,0.00826123,0.0001608954,0.000031002353,0.00026927338,0.0009275024,0.016668763,0.0010981215,0.88648546,0.0077613257,0.07819697],"study_design_scores_gemma":[0.00007233482,0.00018341902,0.013524104,0.0002271165,0.000052283893,0.00061065727,0.0014741675,0.046549287,0.0019192209,0.7668916,0.16843027,0.00006552055],"about_ca_topic_score_codex":0.0031869658,"about_ca_topic_score_gemma":0.0016000142,"teacher_disagreement_score":0.028791973,"about_ca_system_score_codex":0.0025860057,"about_ca_system_score_gemma":0.0025862455,"threshold_uncertainty_score":0.09631872},"labels":[],"label_agreement":null},{"id":"W3121611754","doi":"","title":"Skill Supply and Biased Technical Change","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Technical change; Wage inequality; Economics; Incentive; Inequality; Labour economics; Wage; Technological change; Labour supply; Microeconomics; Macroeconomics; Productivity","score_opus":0.08547474046878287,"score_gpt":0.2947425736356439,"score_spread":0.209267833166861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121611754","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":[0.8240792,0.0028525512,0.09042926,0.008371059,0.00011386464,0.000037298993,0.00032041233,0.00013716175,0.07365921],"genre_scores_gemma":[0.9883709,0.0011552018,0.0019247378,0.00027376646,0.00015430499,0.000011163382,0.000048131595,0.000019361058,0.008042485],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99938583,0.00010974387,0.000027309647,0.00014106424,0.00013681962,0.00019928222],"domain_scores_gemma":[0.99495655,0.0019780023,0.0015567655,0.0006257992,0.00048415718,0.0003987952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014096777,0.0003814104,0.0006280803,0.0013957821,0.00081986253,0.0019100831,0.00045346076,0.000969382,0.008797501],"category_scores_gemma":[0.006786473,0.00025025045,0.00059060205,0.00088062056,0.002699276,0.002852698,0.0026333027,0.0015356994,0.0009171483],"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":[0.00018444087,0.00016890175,0.047340836,0.00021244891,0.00012631978,0.001277564,0.002018363,0.027917275,0.0065773837,0.860171,0.0026392236,0.05136629],"study_design_scores_gemma":[0.00006774772,0.00016601731,0.04506327,0.000104504885,0.00004950024,0.00071324245,0.000669427,0.038791925,0.002001107,0.89975184,0.012568736,0.000052627147],"about_ca_topic_score_codex":0.0028367632,"about_ca_topic_score_gemma":0.0021841521,"teacher_disagreement_score":0.008797501,"about_ca_system_score_codex":0.0011768198,"about_ca_system_score_gemma":0.0007799389,"threshold_uncertainty_score":0.029430568},"labels":[],"label_agreement":null},{"id":"W3121621993","doi":"","title":"The Patent Paradox Revisited: An Empirical Study of Patenting in the US Semiconductor Industry, 1979-95","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"Air Force Office of Scientific Research; U.S. Air Force; Alfred P. Sloan Foundation","keywords":"Semiconductor industry; Patent portfolio; Portfolio; Business; Capital (architecture); Economics; Industrial organization; Intellectual property; Finance; Engineering; Political science; Law; Geography","score_opus":0.14385454403736778,"score_gpt":0.3381899609636581,"score_spread":0.19433541692629033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121621993","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":[0.99320143,0.0016354644,0.00029320232,0.0010317346,0.0000060968096,0.000010995617,0.00010180681,0.0000039178685,0.0037154548],"genre_scores_gemma":[0.9982528,0.0009494268,0.00011290753,0.00013320302,0.000012282832,0.000006832203,0.00009562674,0.0000024411224,0.00043452278],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884015,0.00030146996,0.00011280634,0.00014350672,0.00045130885,0.00015082938],"domain_scores_gemma":[0.9795288,0.013190649,0.0045295083,0.0005239597,0.0015376551,0.00068954896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038713526,0.00010341593,0.00040105966,0.0036469188,0.0015834046,0.0017364183,0.0006453779,0.0010941979,0.0012849445],"category_scores_gemma":[0.028339433,0.00012975847,0.0002196231,0.008442301,0.0020688982,0.0034037186,0.0011623374,0.0010218108,0.00017638318],"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":[0.0004496229,0.0006700549,0.77129155,0.00024207037,0.00011922401,0.0022475377,0.047587182,0.0030312391,0.001694485,0.033674527,0.0057159374,0.13327652],"study_design_scores_gemma":[0.00005247576,0.00021158121,0.9282815,0.00011844535,0.000055160737,0.0011706916,0.03172015,0.0036377127,0.0012040655,0.0129614035,0.020543331,0.000043480373],"about_ca_topic_score_codex":0.021506049,"about_ca_topic_score_gemma":0.02602856,"teacher_disagreement_score":0.021506049,"about_ca_system_score_codex":0.002482102,"about_ca_system_score_gemma":0.0019987957,"threshold_uncertainty_score":0.042761743},"labels":[],"label_agreement":null},{"id":"W3121623938","doi":"","title":"Why will Technical Change not be Permanently Skill-Biased?","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Technical change; Order (exchange); Economics; Technological change; Endogenous growth theory; Industrial organization; Labour economics; Market economy; Macroeconomics; Productivity; Finance","score_opus":0.028456606364681048,"score_gpt":0.2237022732394136,"score_spread":0.19524566687473255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121623938","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":[0.6564771,0.010385836,0.07227655,0.15968089,0.0009011163,0.000105535284,0.00073038257,0.0003714759,0.0990711],"genre_scores_gemma":[0.98103136,0.0021813223,0.0032677862,0.007028708,0.0005024285,0.0000246353,0.000060016548,0.00004994625,0.0058538695],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99891174,0.00017031448,0.00004916086,0.00038892,0.00021110286,0.00026869922],"domain_scores_gemma":[0.9880888,0.0046094833,0.0026997428,0.0019494045,0.001622997,0.0010295764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041563506,0.00023413204,0.0005895453,0.0007654425,0.0007913479,0.0026247068,0.00072369515,0.003456574,0.004752779],"category_scores_gemma":[0.0211763,0.00023993562,0.00058045646,0.0006762742,0.0048938044,0.0040749223,0.0013400083,0.0019966974,0.0016114579],"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":[0.0004586031,0.00019377696,0.06847119,0.0007430716,0.0003612744,0.001523333,0.0018956795,0.012741467,0.008561365,0.72917396,0.015216801,0.16065954],"study_design_scores_gemma":[0.00008095848,0.00020925843,0.040829286,0.0001224476,0.000055742385,0.0006408867,0.0006194806,0.006098916,0.0025942153,0.9205648,0.028131202,0.00005274961],"about_ca_topic_score_codex":0.0016194321,"about_ca_topic_score_gemma":0.001442302,"teacher_disagreement_score":0.004752779,"about_ca_system_score_codex":0.0011162183,"about_ca_system_score_gemma":0.0007613603,"threshold_uncertainty_score":0.02198112},"labels":[],"label_agreement":null},{"id":"W3121624552","doi":"10.3386/w19339","title":"Global Imbalances and Structural Change in the United States","year":2013,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Political science","score_opus":0.3684931686350903,"score_gpt":0.46134677113154937,"score_spread":0.09285360249645908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121624552","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":[0.8808235,0.0045907972,0.00063230976,0.020592768,0.00024347,0.000035425503,0.00907514,0.0001337739,0.083872736],"genre_scores_gemma":[0.99087816,0.0020731322,0.00020552761,0.00097410975,0.00007605052,0.000015040903,0.0030923712,0.000017165754,0.0026684727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984145,0.000026849862,0.000009091525,0.000030431149,0.00003137666,0.000060834125],"domain_scores_gemma":[0.99959093,0.00003356493,0.00021594002,0.000026695476,0.000059764614,0.000073083436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041307308,0.0002648727,0.00024144657,0.0011355382,0.00075410743,0.0017827181,0.00028808165,0.0007596228,0.006519237],"category_scores_gemma":[0.0012226782,0.00016384077,0.0003099186,0.0024289445,0.000522973,0.0013269263,0.0011807391,0.00084172474,0.00054820586],"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":[0.00023871053,0.00030017746,0.6864513,0.00023266234,0.00024251825,0.00097433466,0.004481529,0.020172676,0.00077233935,0.08791637,0.09944128,0.09877615],"study_design_scores_gemma":[0.00005240912,0.00008011147,0.8344509,0.00028148238,0.0000825168,0.00030302975,0.0067077796,0.0077049467,0.00041807114,0.038199533,0.11167352,0.000045730583],"about_ca_topic_score_codex":0.050985884,"about_ca_topic_score_gemma":0.07214773,"teacher_disagreement_score":0.050985884,"about_ca_system_score_codex":0.0020468896,"about_ca_system_score_gemma":0.0010021772,"threshold_uncertainty_score":0.1013782},"labels":[],"label_agreement":null},{"id":"W3121685280","doi":"","title":"Prosperity and Productivity: A Canada-Australia Comparison","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"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":"Prosperity; Productivity; Economics; Geography; Natural resource economics; Agricultural economics; Development economics; Economic geography; Economic growth","score_opus":0.08203490643456036,"score_gpt":0.30411573844345047,"score_spread":0.22208083200889012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121685280","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":[0.95324916,0.00386937,0.000260181,0.0021270243,0.000037489383,0.000029693812,0.002186391,0.000013472015,0.038227197],"genre_scores_gemma":[0.9919411,0.0017883012,0.00026206937,0.00014207326,0.0000105845575,0.000009124824,0.00060797477,0.0000072434864,0.0052313902],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989705,0.000090542555,0.000039221883,0.00008812368,0.00045531738,0.00035640877],"domain_scores_gemma":[0.9967085,0.00030282626,0.00029579154,0.00007469587,0.002028826,0.0005894366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008954578,0.00021324653,0.0003509471,0.0035892036,0.0021582865,0.001594618,0.00039767893,0.00032391198,0.0033723644],"category_scores_gemma":[0.0037243085,0.00012561593,0.00033389288,0.007976014,0.0006297055,0.0006925179,0.0013449276,0.0005525379,0.00019096697],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052543095,0.00011580423,0.8463053,0.0003147243,0.00031802902,0.0008014376,0.010104133,0.0016869354,0.00094095315,0.021673383,0.013583603,0.103630185],"study_design_scores_gemma":[0.000009702283,0.000032727196,0.9850278,0.0000527697,0.000059112786,0.00009119899,0.0031487984,0.000394114,0.000121256395,0.0004097504,0.01063664,0.000016075164],"about_ca_topic_score_codex":0.98347825,"about_ca_topic_score_gemma":0.9932312,"teacher_disagreement_score":0.98129576,"about_ca_system_score_codex":0.018704237,"about_ca_system_score_gemma":0.02962531,"threshold_uncertainty_score":0.13570935},"labels":[],"label_agreement":null},{"id":"W3121744453","doi":"","title":"Undesirable Outputs and a Primal Divisia Productivity Index Based on the Directional Output Distance Function","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Divisia index; Productivity; Index (typography); Econometrics; Economics; Divisia monetary aggregates index; Productivity model; Function (biology); Mathematics; Total factor productivity; Statistics; Computer science; Macroeconomics","score_opus":0.05036656836655222,"score_gpt":0.2527307587767166,"score_spread":0.20236419041016435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121744453","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":[0.4500515,0.0018826975,0.4750299,0.0010266791,0.00019443677,0.00014669629,0.0017535337,0.00034590313,0.069568686],"genre_scores_gemma":[0.9614189,0.00069602515,0.034191567,0.000046214795,0.00009350339,0.00007972706,0.0006827919,0.00004172723,0.002749527],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979054,0.00058498594,0.00020143056,0.00036426392,0.00076721783,0.00017684809],"domain_scores_gemma":[0.989767,0.00405941,0.0026863182,0.0011542361,0.0018902357,0.00044283835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00387675,0.0008550814,0.00073627767,0.004915863,0.00048007772,0.003858496,0.0007093685,0.0008074955,0.0024795602],"category_scores_gemma":[0.013627039,0.00023087008,0.0008456478,0.004826553,0.0020449287,0.0033134443,0.0024428512,0.0011117497,0.0007682475],"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":[0.00040992128,0.00016891726,0.17242493,0.0007039327,0.0003050067,0.0007592641,0.0010839854,0.10881709,0.0086071575,0.4380811,0.0043256823,0.26431298],"study_design_scores_gemma":[0.000101812395,0.0006758266,0.14359576,0.00029916596,0.0001873885,0.0010276968,0.0015369615,0.2679204,0.012697235,0.53014386,0.04158793,0.00022597678],"about_ca_topic_score_codex":0.0007380289,"about_ca_topic_score_gemma":0.0003813935,"teacher_disagreement_score":0.004915863,"about_ca_system_score_codex":0.0016885978,"about_ca_system_score_gemma":0.0009413505,"threshold_uncertainty_score":0.020502448},"labels":[],"label_agreement":null},{"id":"W3121790257","doi":"","title":"Economic development and the return to human capital: a smooth coefficient semiparametric approach","year":2006,"lang":"en","type":"preprint","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Economics; Human capital; Total factor productivity; Physical capital; Index (typography); Econometrics; Output elasticity; Capital deepening; Labour economics; Financial capital; Microeconomics; Production (economics); Macroeconomics; Capital formation; Productivity; Economic growth; Computer science","score_opus":0.03163302133265678,"score_gpt":0.21925082163312887,"score_spread":0.1876178003004721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121790257","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":[0.42756665,0.0028187449,0.5568654,0.0018710287,0.00004358598,0.000058439124,0.0010371116,0.00032745616,0.009411533],"genre_scores_gemma":[0.98190373,0.0015277577,0.011947487,0.0000788177,0.000055798086,0.000043432847,0.00033873876,0.000041775293,0.0040623737],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9992538,0.00040847203,0.00002158541,0.000121483674,0.000076255186,0.00011841119],"domain_scores_gemma":[0.9927099,0.005387807,0.0008893837,0.00050149456,0.00033506253,0.00017651268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024706011,0.00062532554,0.00095229293,0.0014397558,0.00030836745,0.001680616,0.00067688385,0.00090581283,0.0033806874],"category_scores_gemma":[0.012337849,0.0005350877,0.00091250025,0.0012528289,0.0019668683,0.0014818868,0.001703209,0.0012647538,0.000559831],"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":[0.00013984996,0.00006460361,0.03335086,0.00019579915,0.00031075045,0.0005030932,0.00046262704,0.720055,0.0017911895,0.20676067,0.0023691847,0.03399643],"study_design_scores_gemma":[0.000025410987,0.00007142855,0.021548655,0.00007415447,0.000116220835,0.000149848,0.0001588614,0.77599996,0.0008937629,0.19820987,0.002683567,0.000068250156],"about_ca_topic_score_codex":0.0043494673,"about_ca_topic_score_gemma":0.0026407936,"teacher_disagreement_score":0.0043494673,"about_ca_system_score_codex":0.00087772665,"about_ca_system_score_gemma":0.00063913176,"threshold_uncertainty_score":0.013065934},"labels":[],"label_agreement":null},{"id":"W3121804196","doi":"","title":"Long-term Productivity Growth in Canada and the United States","year":2007,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Multifactor productivity; Solow residual; Investment (military); Labour economics; Capital (architecture); Demographic economics; Growth accounting; Total factor productivity; Economic growth; Geography; Political science","score_opus":0.01700199427340609,"score_gpt":0.1879449209224677,"score_spread":0.1709429266490616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121804196","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":[0.9284589,0.008532876,0.0003522666,0.0045458875,0.00014865903,0.0000225334,0.019948602,0.00010621832,0.03788401],"genre_scores_gemma":[0.9836534,0.0028021876,0.00018133472,0.0001802141,0.000021433747,0.000008232674,0.008461107,0.00001429174,0.0046777586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885,0.00003239619,0.000037489674,0.00008844509,0.00041898305,0.00057258224],"domain_scores_gemma":[0.99570614,0.00017978378,0.00037604937,0.000060006303,0.0030216044,0.0006564932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006909078,0.00031368135,0.0003631477,0.0036948973,0.002252501,0.003064467,0.00060245197,0.00052382785,0.0018518426],"category_scores_gemma":[0.0032523957,0.00013989488,0.00047525027,0.009205999,0.00071136357,0.001073432,0.0011511841,0.00095775194,0.00034992097],"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":[0.00040982114,0.000102612525,0.872435,0.00017788284,0.00027699597,0.0010000449,0.0031503725,0.008813561,0.0005574583,0.012557019,0.03072875,0.06979049],"study_design_scores_gemma":[0.0000101986125,0.000018479193,0.9749687,0.00009945147,0.000047402336,0.000085668784,0.0032714023,0.001975445,0.00027163574,0.00042804907,0.018782556,0.000040931583],"about_ca_topic_score_codex":0.9938572,"about_ca_topic_score_gemma":0.9948106,"teacher_disagreement_score":0.045729533,"about_ca_system_score_codex":0.045729533,"about_ca_system_score_gemma":0.03673496,"threshold_uncertainty_score":0.33179253},"labels":[],"label_agreement":null},{"id":"W3121866363","doi":"","title":"The Relativity of Poverty and Income: How Reliable are African Economic Statistics?","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Poverty; Economics; Development economics; Economic inequality; Population; Inequality; Geography; Demographic economics; Economic growth; Demography; Sociology","score_opus":0.008584532512843909,"score_gpt":0.1896804394965654,"score_spread":0.1810959069837215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121866363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54029465,0.124585025,0.13400468,0.11277997,0.0029229408,0.000121531266,0.01106339,0.0005490683,0.07367873],"genre_scores_gemma":[0.97026765,0.015400406,0.00910954,0.001173609,0.0016551754,0.000060267572,0.0016575916,0.00007731022,0.0005984184],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9830434,0.0105790105,0.0012369384,0.0013392975,0.0033156502,0.0004857695],"domain_scores_gemma":[0.84031856,0.11011162,0.02131047,0.01819739,0.009140035,0.00092193624],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02210329,0.0005040685,0.0013777806,0.0104423165,0.001303119,0.0055614295,0.0010779584,0.001237707,0.0016327999],"category_scores_gemma":[0.2082605,0.00047676553,0.00050963793,0.016423238,0.0075778905,0.011926901,0.003946481,0.003303917,0.00059516734],"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":[0.00022523088,0.00004623472,0.50156796,0.00096253416,0.0010023821,0.00027116932,0.0059891487,0.0058865254,0.00025699026,0.19904664,0.016879238,0.2678659],"study_design_scores_gemma":[0.000026855121,0.00015336994,0.40819073,0.003924466,0.00033272285,0.00086355576,0.008066638,0.0117117185,0.0010628109,0.4654132,0.100017466,0.00023644659],"about_ca_topic_score_codex":0.0046940995,"about_ca_topic_score_gemma":0.0026093978,"teacher_disagreement_score":0.9778967,"about_ca_system_score_codex":0.0010107019,"about_ca_system_score_gemma":0.0009347318,"threshold_uncertainty_score":0.11689478},"labels":[],"label_agreement":null},{"id":"W3121870816","doi":"10.1111/caje.12240","title":"Growth, expectations and tariffs","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"Australian Research Council","keywords":"Economics; Profitability index; Limiting; Rest (music); Investment (military); Growth model; International economics; Capital good; Learning-by-doing; Capital (architecture); Monetary economics; Microeconomics; Production (economics); Public good","score_opus":0.11126807678332541,"score_gpt":0.16399452263751862,"score_spread":0.05272644585419321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121870816","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":[0.55652666,0.0023375214,0.1896613,0.022482233,0.00032939555,0.00009304321,0.0015185771,0.00031488025,0.22673635],"genre_scores_gemma":[0.9908766,0.0003966807,0.0013070161,0.00015353934,0.000046803987,0.000023571363,0.0001150472,0.000018975375,0.007061789],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994809,0.00021908585,0.000022430686,0.000086729124,0.00010074177,0.00009016863],"domain_scores_gemma":[0.99731076,0.0014167655,0.0005416079,0.00016266626,0.00032386655,0.00024428603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014128677,0.0005936722,0.0006047768,0.00046528757,0.000494586,0.003638786,0.0007224046,0.0019955614,0.0062579704],"category_scores_gemma":[0.007039416,0.00031421232,0.0006418594,0.00057622255,0.001609217,0.0026455703,0.00081958645,0.0019650056,0.00081741624],"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":[0.00013039823,0.00007334949,0.004863069,0.000042890108,0.000028303379,0.00028221632,0.0002511952,0.36598635,0.0006891783,0.6168512,0.0028095955,0.007992157],"study_design_scores_gemma":[0.000049460632,0.00006082915,0.0018369978,0.000039600218,0.000019703935,0.00010218325,0.00017371864,0.3467645,0.0002730809,0.64758235,0.003058787,0.00003883372],"about_ca_topic_score_codex":0.0076301554,"about_ca_topic_score_gemma":0.0030570885,"teacher_disagreement_score":0.0076301554,"about_ca_system_score_codex":0.0022409065,"about_ca_system_score_gemma":0.0010013641,"threshold_uncertainty_score":0.020935059},"labels":[],"label_agreement":null},{"id":"W3121902718","doi":"10.2139/ssrn.2982882","title":"The Debate About the Sources of Growth in East Asia after a Quarter of a Century: Much Ado About Nothing","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":14,"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":"Nothing; Quarter (Canadian coin); East Asia; History; Political science; Ancient history; Development economics; Economic history; China; Economics; Philosophy; Law; Archaeology; Epistemology","score_opus":0.010833906332550776,"score_gpt":0.20403464736773025,"score_spread":0.19320074103517948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121902718","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.071872,0.111125104,0.0015734277,0.7374069,0.007855945,0.000006459619,0.0007988064,0.000049417617,0.06931191],"genre_scores_gemma":[0.8046674,0.088632345,0.0009635792,0.0634897,0.022313256,0.000019643521,0.00050772214,0.00019347011,0.019212844],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991547,0.00026505286,0.00004798208,0.00013665056,0.0002446012,0.00015091374],"domain_scores_gemma":[0.99398875,0.0029829752,0.0008351656,0.0005658099,0.0011126656,0.00051464397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049185394,0.00042692354,0.00056099385,0.0018074525,0.0021026684,0.009185293,0.0009783086,0.0042040837,0.005975405],"category_scores_gemma":[0.009723093,0.00022554038,0.00031626833,0.0043138093,0.008390116,0.016163932,0.002572163,0.00818472,0.0008172149],"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":[0.00035737007,0.000058318838,0.009083284,0.0005500838,0.00012849044,0.00037905498,0.012106992,0.0004823815,0.00034694705,0.7888659,0.09963576,0.08800527],"study_design_scores_gemma":[0.00005942073,0.00005357966,0.03605927,0.0026324939,0.00010956843,0.00049062795,0.022928394,0.0005859048,0.00092866644,0.41888866,0.5171601,0.000103217826],"about_ca_topic_score_codex":0.0045099384,"about_ca_topic_score_gemma":0.0046429983,"teacher_disagreement_score":0.009185293,"about_ca_system_score_codex":0.0028111741,"about_ca_system_score_gemma":0.0022875909,"threshold_uncertainty_score":0.026012063},"labels":[],"label_agreement":null},{"id":"W3121961836","doi":"10.24148/wp2006-24","title":"Endogenous Skill Bias in Technology Adoption: City-Level Evidence from the IT Revolution","year":2006,"lang":"en","type":"preprint","venue":"Federal Reserve Bank of San Francisco, Working Paper Series","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Technological change; Labour economics; Labor demand; Supply and demand; Microeconomics; Macroeconomics; Wage","score_opus":0.15614995565095843,"score_gpt":0.25622769307213444,"score_spread":0.10007773742117601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121961836","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":[0.9958682,0.0005565673,0.00021955813,0.00034650948,0.0000060639636,0.0000042955307,0.0004155022,0.0000071185627,0.0025763207],"genre_scores_gemma":[0.9986621,0.00043692847,0.00008776557,0.00006651837,0.0000105055715,0.0000028605905,0.000365046,0.000005360959,0.00036281502],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999311,0.00016962882,0.000047755057,0.00014134239,0.00014724288,0.00018304675],"domain_scores_gemma":[0.98847955,0.0028025096,0.0052775997,0.0016926636,0.0011796666,0.0005680042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095685216,0.00012828459,0.00032095853,0.0014435428,0.00049665215,0.0012669457,0.00040741792,0.00046227343,0.0031873295],"category_scores_gemma":[0.006224135,0.00020848376,0.0004883519,0.0047288314,0.0009822526,0.0007292357,0.0012410725,0.00069333613,0.0004300267],"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":[0.00025056265,0.000074090975,0.9832213,0.000067215035,0.00020556014,0.000112839785,0.0010951268,0.0010134702,0.00030492147,0.0015940871,0.0007569119,0.011303921],"study_design_scores_gemma":[0.000013525089,0.000031372903,0.9971499,0.000016371103,0.00006476027,0.000027198545,0.00064865133,0.00035452232,0.00011701379,0.00026389793,0.0013065421,0.0000062720624],"about_ca_topic_score_codex":0.05463712,"about_ca_topic_score_gemma":0.09207943,"teacher_disagreement_score":0.05463712,"about_ca_system_score_codex":0.00059864024,"about_ca_system_score_gemma":0.00060582685,"threshold_uncertainty_score":0.10863823},"labels":[],"label_agreement":null},{"id":"W3122035934","doi":"","title":"Doing Business in the Knowledge-Based Economy / La conduite des affaires dans l'économie du savoir","year":2001,"lang":"fr","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Knowledge economy; Restructuring; Government (linguistics); Digital economy; Economy; New economy; Information economy; Political science; Business; Economics; Finance","score_opus":0.035586953235113794,"score_gpt":0.21634103549949277,"score_spread":0.18075408226437897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122035934","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008581838,0.29720205,0.0038664448,0.18250793,0.010290794,0.000044866814,0.00007119874,0.00006883742,0.49736607],"genre_scores_gemma":[0.2269129,0.36455503,0.0051763197,0.018016944,0.008088879,0.000082004786,0.00011629482,0.00015339063,0.37689826],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981165,0.0007765532,0.000069252776,0.00016532825,0.0006506916,0.00022161988],"domain_scores_gemma":[0.99857867,0.0008105207,0.000075721844,0.00006764354,0.00022122361,0.00024633377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027887379,0.0005621875,0.0005557511,0.0013524417,0.005062652,0.014639911,0.00066541217,0.0027943074,0.0071570394],"category_scores_gemma":[0.0023864089,0.00032976203,0.00043261517,0.0030561774,0.010381585,0.008166377,0.0019300175,0.0033990394,0.0013928249],"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":[0.0000126491705,0.00003400242,0.000776833,0.00029844628,0.000011876609,0.00017279698,0.018234428,0.0002225982,0.00028890674,0.7699073,0.13460767,0.075432494],"study_design_scores_gemma":[0.0000023367102,0.000006936252,0.0007302537,0.00028946938,0.0000031575612,0.000068546346,0.0062109106,0.000057685214,0.00004643079,0.04972823,0.94284874,0.00000731888],"about_ca_topic_score_codex":0.06279224,"about_ca_topic_score_gemma":0.09174353,"teacher_disagreement_score":0.06279224,"about_ca_system_score_codex":0.009228918,"about_ca_system_score_gemma":0.017030997,"threshold_uncertainty_score":0.12485349},"labels":[],"label_agreement":null},{"id":"W3122049918","doi":"","title":"Endogenous Productivity and Development Accounting","year":2006,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Productivity; Investment (military); Investment goods; Per capita income; Capital good; Per capita; Relative price; Sample (material); Total factor productivity; Capital (architecture); Labour economics; Monetary economics; Macroeconomics; Production (economics); Goods and services; Economy; Geography; Population","score_opus":0.03845366926796582,"score_gpt":0.2055132489679593,"score_spread":0.1670595796999935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122049918","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":[0.20366655,0.014272015,0.27054048,0.0109495,0.0005234018,0.00025008936,0.016401151,0.0017171686,0.48167965],"genre_scores_gemma":[0.95199263,0.0060759387,0.009712833,0.00017434804,0.00016993548,0.00012391458,0.0017295356,0.00007061166,0.029950317],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99933076,0.00016073306,0.00003248884,0.00012801688,0.00018728015,0.00016074028],"domain_scores_gemma":[0.9980106,0.0005772315,0.00048065878,0.00047302566,0.00033966106,0.00011886144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011906656,0.00053870835,0.00042661966,0.0023882282,0.0006135269,0.0033312393,0.00055686326,0.0005449701,0.009067021],"category_scores_gemma":[0.007315424,0.00024209637,0.000641883,0.004325951,0.001161713,0.0022779668,0.0011149516,0.0009968973,0.0011074397],"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":[0.000020947095,0.0000254204,0.011307959,0.00009887204,0.00005307761,0.00009641574,0.00016236606,0.038412847,0.00023754794,0.89540607,0.00884834,0.045330264],"study_design_scores_gemma":[0.000021637692,0.000026209213,0.022811431,0.00012246621,0.000053204687,0.00019030595,0.0002225634,0.07522569,0.00088162307,0.7883613,0.11204811,0.000035460693],"about_ca_topic_score_codex":0.010540448,"about_ca_topic_score_gemma":0.0062895054,"teacher_disagreement_score":0.010540448,"about_ca_system_score_codex":0.0044610766,"about_ca_system_score_gemma":0.0024600974,"threshold_uncertainty_score":0.032367527},"labels":[],"label_agreement":null},{"id":"W3122055458","doi":"","title":"The internationalization of R&D","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":30,"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":"Internationalization; International business; Business administration; Economic geography; Political science; Regional science; Business; Economics; Sociology; International trade; Management","score_opus":0.06804644321711578,"score_gpt":0.2903135484314654,"score_spread":0.22226710521434961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122055458","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":[0.14983845,0.059528332,0.00784497,0.01656334,0.00041973515,0.000029542534,0.0017883254,0.00014822054,0.76383907],"genre_scores_gemma":[0.898682,0.07121011,0.0036413837,0.0016808019,0.0007475547,0.000039122133,0.0013262987,0.00008876454,0.02258388],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99797827,0.0003994121,0.00010789254,0.0005365205,0.00059163355,0.00038626662],"domain_scores_gemma":[0.99470407,0.0012862349,0.0017366972,0.00063608855,0.0012388992,0.00039799768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013001721,0.00030517342,0.00033991013,0.0033985774,0.0007300917,0.0037477699,0.00036853604,0.00042275141,0.010898615],"category_scores_gemma":[0.004769952,0.0001225018,0.00038364422,0.0073755174,0.001888894,0.00339266,0.0014880182,0.0009337848,0.0011585106],"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":[0.00011756672,0.000062524836,0.05819108,0.0009795914,0.00013301425,0.0002471116,0.0022634007,0.004726613,0.0016630088,0.55674434,0.017840361,0.35703143],"study_design_scores_gemma":[0.000015581652,0.00008921024,0.10327784,0.0008913175,0.00006230047,0.00044464643,0.0026116618,0.00058018026,0.002102677,0.058584612,0.83130664,0.000033329423],"about_ca_topic_score_codex":0.009800109,"about_ca_topic_score_gemma":0.0073993537,"teacher_disagreement_score":0.010898615,"about_ca_system_score_codex":0.0030195322,"about_ca_system_score_gemma":0.0019724746,"threshold_uncertainty_score":0.036459506},"labels":[],"label_agreement":null},{"id":"W3122062156","doi":"10.1142/s201013921250019x","title":"The Dynamics of Geographic versus Sectoral Diversification: Is There a Link to the Real Economy?","year":2012,"lang":"en","type":"preprint","venue":"Quarterly Journal of Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Diversification (marketing strategy); Equity (law); Economics; Production (economics); Emerging markets; Economic geography; Industrial production; Monetary economics; Business; Macroeconomics","score_opus":0.03340730072377837,"score_gpt":0.22940239070150864,"score_spread":0.19599508997773027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122062156","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":[0.98091346,0.0015180857,0.008449399,0.0031114211,0.000015767868,0.000009341583,0.00028898087,0.000019204645,0.005674319],"genre_scores_gemma":[0.9981192,0.0006731623,0.0006576679,0.000094071904,0.000021596832,0.0000028235231,0.000053353513,0.0000042920847,0.0003737715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998512,0.000047878308,0.000007441491,0.00003765147,0.000023275526,0.00003256254],"domain_scores_gemma":[0.9946621,0.0017837065,0.0025737,0.0003289305,0.00029445798,0.0003570643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008992819,0.0001442644,0.00030820552,0.0006699587,0.00026993148,0.002012487,0.00035034204,0.0005626726,0.0035465944],"category_scores_gemma":[0.00710303,0.00014687877,0.00025125864,0.0014266178,0.0015204643,0.002856602,0.0010526081,0.00066864054,0.0002453482],"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":[0.00017198855,0.00011095545,0.72418773,0.00016245732,0.00024136985,0.00073690666,0.0010313273,0.036948267,0.003441981,0.18264546,0.0023431424,0.047978487],"study_design_scores_gemma":[0.000030976338,0.00014512565,0.7233191,0.00012319557,0.00009426348,0.0007340838,0.0028209554,0.084092766,0.0012474498,0.17985459,0.0074788476,0.000058645743],"about_ca_topic_score_codex":0.0026166877,"about_ca_topic_score_gemma":0.0031598737,"teacher_disagreement_score":0.0035465944,"about_ca_system_score_codex":0.000795802,"about_ca_system_score_gemma":0.00039879547,"threshold_uncertainty_score":0.011864543},"labels":[],"label_agreement":null},{"id":"W3122072153","doi":"","title":"Capital Intensity in Canada and the United States, 1987 to 2003","year":2008,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Depreciation (economics); Liberian dollar; Stock (firearms); Information and Communications Technology; Capital intensity; Asset (computer security); Business; Gross fixed capital formation; Gross domestic product; Capital (architecture); Economics; R&D intensity; Capital expenditure; Finance; Capital formation; Financial capital; Macroeconomics; Human capital; Economic growth; Geography","score_opus":0.019415269892819245,"score_gpt":0.16044911962528716,"score_spread":0.1410338497324679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122072153","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":[0.63923466,0.01104297,0.0010422198,0.0032910611,0.00013811995,0.00012093439,0.27714133,0.00032735814,0.06766127],"genre_scores_gemma":[0.87630296,0.0069414536,0.0011087836,0.00033844545,0.00004161285,0.00005446591,0.088781744,0.00005337741,0.026377264],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991472,0.000023503344,0.000047645157,0.00009023245,0.00045248508,0.00023893935],"domain_scores_gemma":[0.99678385,0.00010944917,0.0004639946,0.000041122657,0.0023111918,0.00029041816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040388523,0.00048324134,0.00034848115,0.005862534,0.0014383778,0.0020996341,0.0008622018,0.00023963225,0.0028931953],"category_scores_gemma":[0.0029538388,0.00022503323,0.00051582366,0.01397646,0.00051487266,0.0006285761,0.0006623492,0.00059853814,0.0004684169],"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":[0.0002601701,0.00007017345,0.8004788,0.00035466513,0.00032434615,0.00040877936,0.0017786839,0.004878355,0.0002593081,0.013862439,0.111828655,0.065495595],"study_design_scores_gemma":[0.000010661806,0.000009395194,0.943558,0.00009210913,0.00005922009,0.00007902404,0.0011595223,0.0012208432,0.00043658138,0.0002897465,0.053055596,0.000029265033],"about_ca_topic_score_codex":0.9974573,"about_ca_topic_score_gemma":0.9975152,"teacher_disagreement_score":0.06342299,"about_ca_system_score_codex":0.06342299,"about_ca_system_score_gemma":0.041671332,"threshold_uncertainty_score":0.46016818},"labels":[],"label_agreement":null},{"id":"W3122131087","doi":"10.2139/ssrn.2309594","title":"Agricultural Productivity and Structural Transformation: Evidence from Brazil","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Agriculture; Productivity; Agricultural productivity; Transformation (genetics); Geography; Agricultural economics; Economic geography; Economics; Economic growth; Archaeology; Biology","score_opus":0.01386054780060532,"score_gpt":0.2025455979442435,"score_spread":0.18868505014363818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122131087","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":[0.9900832,0.0012445924,0.00031016805,0.0008503059,0.000004280278,0.000016150734,0.0008870008,0.000010260453,0.006594114],"genre_scores_gemma":[0.99869955,0.00067254464,0.000092408816,0.000027194246,0.0000046554846,0.0000025930835,0.00032499438,0.0000030661904,0.00017298355],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995759,0.00010395985,0.00003239161,0.00008006991,0.000088810375,0.00011888359],"domain_scores_gemma":[0.99431026,0.0021442398,0.0021824916,0.0004365283,0.00061406265,0.00031233978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001006788,0.00027508105,0.00036710364,0.0014460731,0.00056056544,0.0010111193,0.00039579923,0.00035351794,0.001955237],"category_scores_gemma":[0.0069692354,0.00017627658,0.0004063003,0.004103903,0.0013708521,0.00062109827,0.0010968106,0.0003977161,0.0001629875],"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":[0.00018817282,0.00012694993,0.95358455,0.0002653728,0.0002866539,0.00057005486,0.0036127493,0.0014624367,0.0018248749,0.009068037,0.0008077841,0.028202362],"study_design_scores_gemma":[0.00002396041,0.00007231037,0.9888127,0.00008599042,0.00020642002,0.00014718785,0.0034191534,0.0009605984,0.00050713617,0.0019071689,0.0038451576,0.000012369843],"about_ca_topic_score_codex":0.14935946,"about_ca_topic_score_gemma":0.21525598,"teacher_disagreement_score":0.14935946,"about_ca_system_score_codex":0.0019723114,"about_ca_system_score_gemma":0.0018028256,"threshold_uncertainty_score":0.2969802},"labels":[],"label_agreement":null},{"id":"W3122135459","doi":"","title":"A Proposal for Treating Research and Development As Capital Expenditures in the Canadian SNA","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Capitalization; Key (lock); National accounts; Capital (architecture); Capital expenditure; Public economics; Conceptual framework; Regional science; Economics; Business; Econometrics; Macroeconomics; Finance; Computer science; Geography; Sociology","score_opus":0.06796073763666857,"score_gpt":0.31247141835946324,"score_spread":0.24451068072279467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122135459","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024985136,0.0052114828,0.34574956,0.1546847,0.0072000055,0.0020408956,0.016530577,0.0023139701,0.4412838],"genre_scores_gemma":[0.3760309,0.0044486015,0.4345963,0.020599395,0.0027593442,0.0019570552,0.0029959884,0.0008990091,0.1557135],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9935041,0.00090982695,0.0003063183,0.0012282612,0.0028953021,0.0011563528],"domain_scores_gemma":[0.99179685,0.0010038582,0.0005020719,0.0008439104,0.0047471616,0.0011061243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065506278,0.0015340385,0.0012151552,0.008642765,0.0071913977,0.01405117,0.003857745,0.004477245,0.013142318],"category_scores_gemma":[0.01667126,0.0008135352,0.002362861,0.016713541,0.00925713,0.0062287524,0.0026587509,0.0065105427,0.002149476],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016293976,0.000018786972,0.0017543471,0.000042244093,0.000018376713,0.00004727587,0.00037080338,0.0011637119,0.000099834884,0.94959176,0.030853026,0.01602355],"study_design_scores_gemma":[0.00006899708,0.000047530564,0.012323774,0.000337587,0.000110214656,0.00017715816,0.0012736275,0.011453366,0.00055367243,0.31767088,0.6557468,0.00023650912],"about_ca_topic_score_codex":0.9317626,"about_ca_topic_score_gemma":0.9485592,"teacher_disagreement_score":0.91336036,"about_ca_system_score_codex":0.086639635,"about_ca_system_score_gemma":0.113935016,"threshold_uncertainty_score":0.6286175},"labels":[],"label_agreement":null},{"id":"W3122137233","doi":"10.6084/m9.figshare.1173177","title":"Economic Growth and Internet Usage Impact on Publication Productivity among ASEAN’s and World’s Best Universities","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Productivity; The Internet; Business; Economics; Economic impact analysis; International trade; International economics; Economic growth; Computer science; World Wide Web","score_opus":0.009128836163087519,"score_gpt":0.1998763096084171,"score_spread":0.19074747344532958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122137233","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":[0.99132794,0.0011777614,0.00010025771,0.00039702147,0.000019585872,0.000006830604,0.0010401543,0.000019636986,0.005910748],"genre_scores_gemma":[0.996523,0.0010185414,0.000112414746,0.000024068728,0.000042865595,0.000010014859,0.00076585484,0.0000074040986,0.0014958174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99830246,0.0004733811,0.00029599486,0.000119122065,0.0006105573,0.00019857132],"domain_scores_gemma":[0.96880275,0.013834682,0.010383604,0.0007827206,0.004056647,0.0021396822],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0026729398,0.00021057906,0.000298202,0.0059841434,0.0004625385,0.0027436113,0.00028928608,0.00025661715,0.0047262087],"category_scores_gemma":[0.012156649,0.00010879333,0.0005780934,0.008722382,0.00037519404,0.0014989211,0.00076196995,0.0005035047,0.00089520996],"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":[0.000078599674,0.00009633182,0.9798248,0.000090703346,0.00009621264,0.0003944019,0.00049992336,0.000493,0.0002605793,0.00021946663,0.0009565621,0.01698942],"study_design_scores_gemma":[0.0000024989852,0.000046888446,0.99632937,0.000029241337,0.000029577166,0.00021239236,0.00093948096,0.00072112924,0.00022422089,0.00008240951,0.0013739065,0.000008858319],"about_ca_topic_score_codex":0.004107863,"about_ca_topic_score_gemma":0.003903898,"teacher_disagreement_score":0.9940159,"about_ca_system_score_codex":0.0006593161,"about_ca_system_score_gemma":0.00084730535,"threshold_uncertainty_score":0.015810728},"labels":[],"label_agreement":null},{"id":"W3122178123","doi":"","title":"Integrated Productivity Accounts: Contributions to the Measurement of Capital","year":2010,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Productivity; National accounts; Measure (data warehouse); Capital (architecture); Econometrics; Economics; Productivity model; Computer science; Industrial organization; Macroeconomics; Total factor productivity; Data mining; Geography","score_opus":0.02719458913627933,"score_gpt":0.2188964700500377,"score_spread":0.19170188091375837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122178123","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":[0.02339134,0.04140301,0.5202041,0.008237231,0.0025207766,0.00055696885,0.054618303,0.003592906,0.34547544],"genre_scores_gemma":[0.5221292,0.057310298,0.31703642,0.00087320834,0.0048584337,0.0010108266,0.027997777,0.001272574,0.06751128],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9913545,0.0014387515,0.00059434253,0.000905671,0.0052573113,0.00044947158],"domain_scores_gemma":[0.98482543,0.0023644397,0.002557733,0.0020035417,0.0077895317,0.00045936267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004943635,0.0017958097,0.0010188911,0.017464204,0.0014965764,0.0093231015,0.0027588923,0.0011351277,0.008093727],"category_scores_gemma":[0.029823191,0.0008521094,0.0007663019,0.037056766,0.0018635005,0.008528357,0.00478601,0.0020890604,0.0030972238],"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":[0.000047739835,0.00005586699,0.014696249,0.0006199421,0.0002647302,0.000056231376,0.00060057867,0.0077908593,0.00024241331,0.5889218,0.076677345,0.31002623],"study_design_scores_gemma":[0.0000142205,0.000031674066,0.025838157,0.0006495787,0.00015265764,0.00018707573,0.00031624915,0.017535158,0.0012809568,0.3282913,0.6255971,0.000105846775],"about_ca_topic_score_codex":0.13319398,"about_ca_topic_score_gemma":0.073327385,"teacher_disagreement_score":0.13319398,"about_ca_system_score_codex":0.010377399,"about_ca_system_score_gemma":0.014665645,"threshold_uncertainty_score":0.26483738},"labels":[],"label_agreement":null},{"id":"W3122242767","doi":"","title":"Disaggregate Productivity Comparisons: Sectoral Convergence in OECD Countries","year":2007,"lang":"en","type":"preprint","venue":"Lirias (KU Leuven)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Purchasing power parity; Productivity; Convergence (economics); Relative price; Purchasing power; Currency; Exchange rate; Sectoral analysis; Aggregate expenditure; International economics; Monetary economics; Econometrics; Macroeconomics","score_opus":0.06463963768532759,"score_gpt":0.26107560237959393,"score_spread":0.19643596469426633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122242767","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":[0.9376261,0.0020026898,0.005839265,0.00044481453,0.000042428084,0.000088647765,0.015921775,0.00029890877,0.0377354],"genre_scores_gemma":[0.981355,0.0006906659,0.003114431,0.000090265785,0.00002738003,0.00008677539,0.013803851,0.000038706454,0.00079288124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99778277,0.00086809514,0.00022276971,0.00025229255,0.0005937032,0.000280384],"domain_scores_gemma":[0.9917494,0.0027950024,0.0018895456,0.0013954976,0.002009421,0.00016112237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041842563,0.00038794847,0.0007404128,0.011168849,0.00026103374,0.0019371695,0.00029259908,0.00031843188,0.0028852348],"category_scores_gemma":[0.012947905,0.00020107739,0.000653179,0.017041076,0.0003838,0.0009453551,0.0023259758,0.00035571965,0.00058227003],"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":[0.0011699338,0.00016843599,0.6933332,0.0009392415,0.0016936685,0.0013650546,0.005413595,0.05219884,0.0030652105,0.031132314,0.01707013,0.19245039],"study_design_scores_gemma":[0.000053620606,0.00010637485,0.94968486,0.00018595271,0.0001858653,0.00025473285,0.0031229295,0.007343103,0.0016551585,0.011637701,0.025725024,0.000044805114],"about_ca_topic_score_codex":0.011011531,"about_ca_topic_score_gemma":0.006092449,"teacher_disagreement_score":0.011168849,"about_ca_system_score_codex":0.0012072163,"about_ca_system_score_gemma":0.00051185593,"threshold_uncertainty_score":0.02212876},"labels":[],"label_agreement":null},{"id":"W3122291100","doi":"","title":"Persistence in Convergence","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Convergence (economics); Economics; Divergence (linguistics); Econometrics; Human capital; Long memory; Simple (philosophy); Contrast (vision); Persistence (discontinuity); Per capita; Benchmark (surveying); Macroeconomics; Geography; Computer science; Economic growth; Demography","score_opus":0.1037760943975348,"score_gpt":0.2812265761806037,"score_spread":0.1774504817830689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122291100","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":[0.67993325,0.0036309783,0.18590158,0.007447357,0.00033063727,0.00015487008,0.00088429556,0.000442645,0.12127438],"genre_scores_gemma":[0.9914038,0.00046860793,0.0032151162,0.0002621231,0.00013182138,0.00007480067,0.00019534699,0.000051089864,0.004197315],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997686,0.00059173733,0.0001980838,0.00081681594,0.00030667704,0.00040059423],"domain_scores_gemma":[0.98008966,0.010454716,0.003992628,0.0030645314,0.0014609441,0.00093753636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042095413,0.00037734877,0.00094219216,0.0019297666,0.0010290395,0.0033400373,0.00103302,0.001350756,0.016753742],"category_scores_gemma":[0.039492078,0.00028631146,0.0009864559,0.0015584307,0.0024429255,0.0045524733,0.003945184,0.0019867036,0.0013290264],"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":[0.00023222767,0.000097777236,0.086605124,0.00041391636,0.00026028784,0.0006690447,0.003249801,0.016558046,0.0008886479,0.81353474,0.00412023,0.073370166],"study_design_scores_gemma":[0.00005772582,0.00020577133,0.040977657,0.0002608427,0.00008982807,0.0009969368,0.0022344117,0.033822726,0.0008702298,0.9045366,0.015877057,0.00007022803],"about_ca_topic_score_codex":0.0010162639,"about_ca_topic_score_gemma":0.00058370584,"teacher_disagreement_score":0.016753742,"about_ca_system_score_codex":0.0010413914,"about_ca_system_score_gemma":0.00063600723,"threshold_uncertainty_score":0.056046844},"labels":[],"label_agreement":null},{"id":"W3122335829","doi":"10.34989/swp-2007-16","title":"World Real Interest Rates: A Global Savings and Investment Perspective","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Interest rate; Investment (military); Real interest rate; Economics; Monetary economics; Macroeconomics; Political science","score_opus":0.06955066234880723,"score_gpt":0.31729252761955345,"score_spread":0.2477418652707462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122335829","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":[0.106342666,0.21064524,0.039704822,0.1207696,0.0030047123,0.000026304971,0.002136344,0.00019046229,0.5171798],"genre_scores_gemma":[0.78909415,0.1678601,0.0067693004,0.003226239,0.0035559013,0.000038293667,0.000822847,0.00014534852,0.028487721],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961877,0.00014482853,0.000017877346,0.000074772644,0.000094517054,0.000049227707],"domain_scores_gemma":[0.999258,0.00025468075,0.00021347994,0.000053090276,0.00016288021,0.00005795285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084858155,0.00088102504,0.00051399495,0.0024291766,0.00039145246,0.0042232755,0.00033201405,0.0012092561,0.005061425],"category_scores_gemma":[0.00204013,0.00022995574,0.0003936985,0.0048853336,0.0013374813,0.0053918147,0.0008948458,0.0024896055,0.00092833664],"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":[0.000043571643,0.000027673008,0.008251093,0.00021127086,0.00006187679,0.00024237158,0.00076147,0.00741568,0.00046421002,0.89813596,0.017300788,0.06708406],"study_design_scores_gemma":[0.000013455771,0.00007598782,0.026022715,0.00080186647,0.000084749685,0.00064595795,0.00165993,0.0068262722,0.0008956106,0.6020323,0.36087853,0.00006256259],"about_ca_topic_score_codex":0.0029325054,"about_ca_topic_score_gemma":0.002316187,"teacher_disagreement_score":0.005061425,"about_ca_system_score_codex":0.0014897352,"about_ca_system_score_gemma":0.0005420584,"threshold_uncertainty_score":0.01693213},"labels":[],"label_agreement":null},{"id":"W3122342867","doi":"10.1080/09638199.2014.931450","title":"Technology transfers and industry closures","year":2014,"lang":"en","type":"preprint","venue":"Journal of International Trade & Economic Development","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Productivity; Welfare; Economic welfare; Welfare economics; Economics; Economy; Market economy; Economic growth","score_opus":0.028442268854439828,"score_gpt":0.23327210912574595,"score_spread":0.20482984027130613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122342867","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":[0.80905414,0.0020093892,0.024580818,0.0072136126,0.0001921832,0.00013827752,0.00045846216,0.00018277612,0.15617025],"genre_scores_gemma":[0.98891735,0.0005804317,0.00064267486,0.00022548051,0.00010544029,0.00003822496,0.000091202935,0.000013498828,0.009385739],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984675,0.0002542406,0.00007717322,0.00025183804,0.00022153907,0.0007277994],"domain_scores_gemma":[0.99244094,0.002303759,0.0030834835,0.0008063621,0.00036638632,0.0009991239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016692509,0.00034187126,0.0008727808,0.0016385191,0.0022193992,0.003462275,0.0012551753,0.0026495557,0.031530946],"category_scores_gemma":[0.011486494,0.00038364783,0.0013868602,0.0010662474,0.006085373,0.0056295046,0.005369231,0.0030025383,0.0011145953],"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":[0.00032415814,0.00031474096,0.011588302,0.00020923733,0.00004777463,0.0010960624,0.0021053248,0.020456266,0.0013605359,0.9256225,0.0045293793,0.032345723],"study_design_scores_gemma":[0.00027015526,0.00048662763,0.018939823,0.00031267983,0.00006998094,0.00087687373,0.0033597725,0.013666819,0.0015282815,0.92364466,0.036793277,0.000051044743],"about_ca_topic_score_codex":0.002397846,"about_ca_topic_score_gemma":0.001163475,"teacher_disagreement_score":0.031530946,"about_ca_system_score_codex":0.0020071235,"about_ca_system_score_gemma":0.0012687341,"threshold_uncertainty_score":0.105481505},"labels":[],"label_agreement":null},{"id":"W3122352202","doi":"","title":"A Comparison of GDP Per Capita in Canada and the United States from 1994 to 2005","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Gross domestic product; Per capita; Economics; Productivity; Real gross domestic product; Demographic economics; Population; Labour economics; Monetary economics; Demography; Macroeconomics","score_opus":0.04974417141007957,"score_gpt":0.29581883118381325,"score_spread":0.24607465977373366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122352202","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":[0.7635619,0.01244235,0.00049777474,0.004570496,0.0003527399,0.00004151991,0.15191442,0.00022014049,0.06639871],"genre_scores_gemma":[0.91617936,0.0061092945,0.0007988806,0.00036927513,0.00005484515,0.000020250005,0.06600375,0.000051016348,0.010413272],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999114,0.000025571322,0.000033024317,0.00008328887,0.0004618419,0.00028225663],"domain_scores_gemma":[0.99763715,0.00006634676,0.00020857263,0.000025646274,0.001837561,0.0002247648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003634986,0.00039405894,0.0003496287,0.005779762,0.0013420358,0.0023701491,0.00051852956,0.0002929854,0.0023252268],"category_scores_gemma":[0.002131076,0.00014839096,0.00039506756,0.015533881,0.00032242175,0.0005818412,0.0006379772,0.0006515852,0.00034684615],"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":[0.00042353442,0.000082730134,0.7821514,0.0004178088,0.0004687623,0.0006631062,0.0021131532,0.005385304,0.00051058247,0.0095949285,0.11445322,0.083735436],"study_design_scores_gemma":[0.000008239443,0.000015754951,0.9395811,0.000105708146,0.00006457491,0.000119977616,0.002012153,0.000986096,0.00038059577,0.00017000343,0.056527283,0.000028516944],"about_ca_topic_score_codex":0.991672,"about_ca_topic_score_gemma":0.99427444,"teacher_disagreement_score":0.03149586,"about_ca_system_score_codex":0.03149586,"about_ca_system_score_gemma":0.026746972,"threshold_uncertainty_score":0.22851956},"labels":[],"label_agreement":null},{"id":"W3122442745","doi":"","title":"What Has Been Happening to Aggregate Concentration in the U.S. Economy in the 21st Century","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Payroll; Aggregate (composite); Economics; Quarter (Canadian coin); Census; Economy; Big business; Happening; Aggregate data; Economic history; Market economy; Geography; History; Demography; Population; Sociology; Accounting; Statistics","score_opus":0.07358360050044775,"score_gpt":0.2979611226484574,"score_spread":0.22437752214800966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122442745","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":[0.7216978,0.08224165,0.00175761,0.12372207,0.0014194397,0.000023887926,0.0049011293,0.00009119529,0.06414525],"genre_scores_gemma":[0.942313,0.041250642,0.00084219465,0.009243517,0.0022591946,0.000015229506,0.0018961836,0.00004535561,0.0021346626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908614,0.00017480324,0.00007087736,0.0002467588,0.00020613933,0.00021525664],"domain_scores_gemma":[0.9947143,0.00093781634,0.0019548417,0.0002913835,0.0015625748,0.00053909165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017916971,0.00026817893,0.00036540692,0.0019546787,0.0009927365,0.0038638606,0.0004186494,0.0012570149,0.0030801804],"category_scores_gemma":[0.0070080385,0.0002709316,0.00050999486,0.005850582,0.0020132181,0.005808237,0.0014807647,0.0018639244,0.00057628896],"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":[0.00022470085,0.00013653722,0.63764966,0.0011683945,0.00056092266,0.0006071629,0.01324176,0.0035835651,0.00090829574,0.09438892,0.056049075,0.19148114],"study_design_scores_gemma":[0.000013239224,0.00013652495,0.80139655,0.0009596487,0.000096886884,0.0003318314,0.008075382,0.000719636,0.000966943,0.01324264,0.17396125,0.000099540026],"about_ca_topic_score_codex":0.04090971,"about_ca_topic_score_gemma":0.036341958,"teacher_disagreement_score":0.04090971,"about_ca_system_score_codex":0.0030002638,"about_ca_system_score_gemma":0.0014935547,"threshold_uncertainty_score":0.081343174},"labels":[],"label_agreement":null},{"id":"W3122482709","doi":"10.17016/ifdp.2003.786","title":"Breaks in the Variability and Co-Movement of G-7 Economic Growth","year":2003,"lang":"en","type":"article","venue":"International Finance Discussion Paper","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Investment (military); Consumption (sociology); Movement (music); Variance (accounting); Contrast (vision); International economics; Monetary economics; Political science","score_opus":0.013883280816095698,"score_gpt":0.23354776310533662,"score_spread":0.21966448228924093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122482709","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":[0.991462,0.0002458506,0.0022803873,0.0003601824,0.000017243818,0.0000123435475,0.0003103939,0.000027362596,0.005284293],"genre_scores_gemma":[0.9989498,0.00007960152,0.00028589737,0.000032582244,0.000017225924,0.000007259723,0.0003222595,0.000008041585,0.00029727348],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99817216,0.00039127187,0.00013630232,0.0005265402,0.00039238692,0.0003813848],"domain_scores_gemma":[0.9843225,0.005104985,0.006791089,0.001862278,0.0012936816,0.00062545226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025519743,0.0002847657,0.0006383446,0.0015002091,0.0004979792,0.0025123057,0.00056326634,0.00084082404,0.0020756233],"category_scores_gemma":[0.020413268,0.0002084436,0.00079372386,0.0021488941,0.0014333028,0.0014092025,0.0024027457,0.001724854,0.00039804477],"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":[0.0008873157,0.00008696925,0.9155805,0.00008947702,0.00059334846,0.0007931962,0.0021357255,0.010190972,0.004093971,0.034432534,0.0018545145,0.029261502],"study_design_scores_gemma":[0.000026490085,0.00012501587,0.966859,0.000034431763,0.00008250295,0.00034750844,0.0013730857,0.009458899,0.0011071811,0.017625516,0.0029155666,0.00004473134],"about_ca_topic_score_codex":0.0033630035,"about_ca_topic_score_gemma":0.002768808,"teacher_disagreement_score":0.0033630035,"about_ca_system_score_codex":0.0009340722,"about_ca_system_score_gemma":0.00038329654,"threshold_uncertainty_score":0.01349628},"labels":[],"label_agreement":null},{"id":"W3122497745","doi":"","title":"Gains to Research in the Presence of Intellectual Property Rights and Research Subsidies","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; University of Lethbridge","funders":"","keywords":"Intellectual property; Subsidy; Incentive; Investment (military); Economics; Canola; Empirical research; Property rights; Rate of return; Public economics; Business; Market economy; Microeconomics; Finance; Political science; Law","score_opus":0.1316003763210436,"score_gpt":0.32769275660734143,"score_spread":0.19609238028629783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122497745","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":[0.8900077,0.0008609216,0.0021841868,0.0024621247,0.000044912933,0.000043241515,0.000465081,0.00009250113,0.1038394],"genre_scores_gemma":[0.994749,0.00024503944,0.0004309245,0.0001115717,0.000054393702,0.00001299333,0.0001701559,0.00000533647,0.0042205444],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99709904,0.00067957176,0.0002428112,0.00026359496,0.0006096541,0.0011053485],"domain_scores_gemma":[0.97266847,0.012071827,0.007233208,0.003312067,0.0018197529,0.0028946633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042852,0.00030824638,0.0008466625,0.0018259342,0.0007337186,0.0036410033,0.0005662271,0.001537775,0.0122203175],"category_scores_gemma":[0.022737874,0.00021659734,0.0005822989,0.0012823305,0.002235414,0.0030967498,0.0029001723,0.0009924765,0.0012209237],"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":[0.006447898,0.0018358616,0.3741349,0.0011043848,0.00061034085,0.0065768026,0.0015951353,0.022729522,0.032502122,0.37960267,0.0054474515,0.16741289],"study_design_scores_gemma":[0.0004019524,0.0028152484,0.53086346,0.00017607793,0.0004892173,0.0061604786,0.0026231166,0.012390954,0.011690342,0.38662475,0.04565596,0.00010843625],"about_ca_topic_score_codex":0.00085409614,"about_ca_topic_score_gemma":0.001634499,"teacher_disagreement_score":0.0122203175,"about_ca_system_score_codex":0.0015969359,"about_ca_system_score_gemma":0.0016108901,"threshold_uncertainty_score":0.040881038},"labels":[],"label_agreement":null},{"id":"W3122500297","doi":"10.34989/swp-2016-15","title":"How Fast Can China Grow? The Middle Kingdom’s Prospects to 2030","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"Hong Kong Institute for Monetary Research","keywords":"Total factor productivity; Economics; China; Human capital; Stock (firearms); Wage; Productivity; Commodity; Production (economics); Investment (military); Chinese economy; Economy; Labour economics; Macroeconomics; Market economy; Geography","score_opus":0.06939067471816451,"score_gpt":0.2667703964637786,"score_spread":0.19737972174561408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122500297","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":[0.8157512,0.013241749,0.0025567478,0.07608676,0.0011804864,0.00003095247,0.0075350874,0.00024303063,0.08337409],"genre_scores_gemma":[0.9840745,0.0042578513,0.0006442703,0.0015582186,0.0001087217,0.00001282192,0.0015163806,0.00003073004,0.0077964924],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997838,0.000022725842,0.000008692862,0.000025567586,0.000058387035,0.00010075626],"domain_scores_gemma":[0.9995834,0.000025633379,0.000062212384,0.000024292627,0.00016098942,0.00014342216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007213717,0.00039275794,0.00021055175,0.00046796902,0.0004990724,0.001726815,0.00034793193,0.00068262225,0.0036277126],"category_scores_gemma":[0.0012092481,0.00009498352,0.00033826198,0.0008919091,0.00052685756,0.0019277345,0.00089362316,0.0006418276,0.0010712536],"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":[0.0008503879,0.00009865228,0.3423577,0.0010663137,0.0003172216,0.0038742996,0.005803408,0.019221464,0.011589472,0.14894165,0.1727104,0.29316902],"study_design_scores_gemma":[0.00003954757,0.00029644108,0.5528495,0.00045486234,0.00014080433,0.0004704872,0.0086836545,0.016754258,0.0053202943,0.020112315,0.3947246,0.00015317771],"about_ca_topic_score_codex":0.06853763,"about_ca_topic_score_gemma":0.056242798,"teacher_disagreement_score":0.06853763,"about_ca_system_score_codex":0.0024054914,"about_ca_system_score_gemma":0.0030717433,"threshold_uncertainty_score":0.13627738},"labels":[],"label_agreement":null},{"id":"W3122529284","doi":"10.2139/ssrn.2986179","title":"What Rates of Productivity Growth Would Be Required to Offset the Effects of Population Aging? A Study of Twenty Industrialised Countries","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Productivity; Population ageing; Population growth; Economics; Population; Demographic economics; Geography; Development economics; Demography; Economic growth; Sociology","score_opus":0.03150421333655864,"score_gpt":0.2669292637110157,"score_spread":0.23542505037445707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122529284","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":[0.9969959,0.00044847076,0.00008919837,0.0002780248,0.000006454912,0.000010228024,0.00009661537,0.0000033558233,0.0020717669],"genre_scores_gemma":[0.9991304,0.00034493388,0.000058873906,0.000035459303,0.0000049193263,0.0000078396415,0.00009663237,0.0000011948275,0.00031967167],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942064,0.00022213304,0.000028230274,0.0000527491,0.000038334998,0.00023784146],"domain_scores_gemma":[0.99749017,0.0009641905,0.00063073647,0.00008980608,0.00028321127,0.0005419151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001751286,0.00046801966,0.0004531561,0.0013410999,0.001251508,0.0025347013,0.0005216171,0.00076746603,0.0015476105],"category_scores_gemma":[0.0039418237,0.00027756588,0.0006289806,0.0023600906,0.0017463821,0.0011566563,0.0014086786,0.00087903143,0.00020466158],"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":[0.0020209078,0.00043169185,0.9124253,0.00031789538,0.00047690351,0.0018505406,0.012844674,0.011300241,0.0009985089,0.025164291,0.0022455119,0.029923495],"study_design_scores_gemma":[0.00024487576,0.0012280273,0.94013613,0.00014681698,0.00035796064,0.00036390437,0.040128384,0.0031597796,0.0008512578,0.004249157,0.00909146,0.00004215927],"about_ca_topic_score_codex":0.018065728,"about_ca_topic_score_gemma":0.015062134,"teacher_disagreement_score":0.018065728,"about_ca_system_score_codex":0.0013814166,"about_ca_system_score_gemma":0.0010924652,"threshold_uncertainty_score":0.035921156},"labels":[],"label_agreement":null},{"id":"W3122569770","doi":"","title":"Relative Prices, Hysteresis, and the Decline of American Manufacturing","year":2013,"lang":"en","type":"preprint","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"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":"Liberian dollar; Economics; Productivity; Unit (ring theory); Shock (circulatory); Falling (accident); Investment (military); Relative price; Hysteresis; Inflation (cosmology); Exchange rate; Manufacturing; Monetary economics; Labour economics; Macroeconomics; Business; Finance","score_opus":0.025655624410457226,"score_gpt":0.22607573225934108,"score_spread":0.20042010784888387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122569770","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":[0.18699446,0.072325826,0.010959259,0.18157636,0.0097350795,0.00006935931,0.013780035,0.00025745743,0.5243022],"genre_scores_gemma":[0.8377811,0.030875457,0.002520289,0.006657244,0.0060312836,0.000059228794,0.0036314214,0.0000802066,0.11236382],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9998518,0.000023479759,0.000009656587,0.0000447798,0.00005094999,0.000019294408],"domain_scores_gemma":[0.9990798,0.00023811389,0.00022952778,0.00006621422,0.00033760333,0.00004862499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044685643,0.00015797114,0.00016348061,0.0011011378,0.00055998174,0.0021493153,0.0002746112,0.0005397378,0.018470734],"category_scores_gemma":[0.002602408,0.00008290441,0.0001830434,0.0021316113,0.00044971606,0.0013067182,0.00031353123,0.0009200142,0.0010480399],"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":[0.00017277112,0.00019069073,0.03798487,0.00052612444,0.00010463139,0.00023692564,0.0014554164,0.0016294465,0.0008020394,0.5214364,0.240502,0.19495869],"study_design_scores_gemma":[0.000020604983,0.00004898004,0.11512808,0.00024555108,0.00006519953,0.00012757246,0.0008374432,0.0012515595,0.0006823355,0.086643115,0.7949247,0.000024944873],"about_ca_topic_score_codex":0.016772518,"about_ca_topic_score_gemma":0.018631106,"teacher_disagreement_score":0.018470734,"about_ca_system_score_codex":0.0011512538,"about_ca_system_score_gemma":0.0007260093,"threshold_uncertainty_score":0.061790764},"labels":[],"label_agreement":null},{"id":"W3122604462","doi":"","title":"Potential Growth and Inflation: Estimates for Australia, the United States and Canada","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Potential output; Inflation (cosmology); Economics; Monetary policy; Geography; Development economics; Macroeconomics","score_opus":0.012669585351577403,"score_gpt":0.2032645822016075,"score_spread":0.19059499685003012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122604462","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":[0.84793824,0.01885687,0.0049779536,0.0023774514,0.00009167348,0.000090029724,0.045590576,0.0002521779,0.07982507],"genre_scores_gemma":[0.96033186,0.009884098,0.00386967,0.00009238079,0.000033087425,0.000047834652,0.017456071,0.0000389074,0.008246159],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993406,0.000048027272,0.000039846356,0.000045848006,0.00041183716,0.00011384573],"domain_scores_gemma":[0.9972108,0.00017674422,0.00025262882,0.000045082863,0.0020926385,0.00022213112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072967994,0.00028133902,0.00024766958,0.00402807,0.00086464616,0.0009667524,0.00027641104,0.00015615989,0.0007120652],"category_scores_gemma":[0.0026105896,0.00015309658,0.0004142403,0.008080396,0.00025389023,0.0005066393,0.00074734434,0.0005429475,0.0001605296],"study_design_candidate":"simulation_or_modeling","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":[0.00020839376,0.000042481297,0.7157849,0.00069332554,0.0004158444,0.0004171665,0.0039212364,0.024129538,0.00072943023,0.028835805,0.053829845,0.17099208],"study_design_scores_gemma":[0.0000104819155,0.000016483793,0.9433267,0.000108463,0.000089619345,0.0001562797,0.0009511211,0.009136842,0.00038403302,0.0012634147,0.04451339,0.0000431357],"about_ca_topic_score_codex":0.9645609,"about_ca_topic_score_gemma":0.9698271,"teacher_disagreement_score":0.035439074,"about_ca_system_score_codex":0.008093937,"about_ca_system_score_gemma":0.0086080525,"threshold_uncertainty_score":0.0712955},"labels":[],"label_agreement":null},{"id":"W3122658216","doi":"10.17016/feds.2000.20","title":"The Resurgence of Growth in the Late 1990s: Is Information Technology the Story?","year":2000,"lang":"en","type":"article","venue":"Finance and Economics Discussion Series","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":47,"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":"Productivity; Information technology; Production (economics); Quarter (Canadian coin); Point (geometry); Work (physics); Economics; Labour economics; Computer science; Economic growth; Engineering; Macroeconomics; History; Mathematics","score_opus":0.011025925262934727,"score_gpt":0.18530458284354748,"score_spread":0.17427865758061276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122658216","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33705527,0.105220884,0.0016300554,0.45760316,0.0020087988,0.000017451506,0.002654196,0.00014571389,0.09366457],"genre_scores_gemma":[0.88812286,0.089466035,0.0003781419,0.013371252,0.0023344276,0.00001440174,0.00095251313,0.000038836377,0.005321733],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99945074,0.00008585724,0.00002682182,0.00007159882,0.0001818881,0.00018311461],"domain_scores_gemma":[0.9975714,0.0006332403,0.00068927725,0.000089250454,0.0006499974,0.00036678844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001301613,0.00031728696,0.000329132,0.0023642764,0.0010562586,0.005412588,0.00043037164,0.00200228,0.0031075042],"category_scores_gemma":[0.007837543,0.00013956633,0.00023100837,0.007420948,0.0020257132,0.008162423,0.0013308534,0.0028676193,0.0010662768],"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":[0.00048725383,0.0001881674,0.14456326,0.0008747642,0.000074482814,0.0013587945,0.011374164,0.0017629392,0.0008961499,0.22949822,0.17954978,0.42937207],"study_design_scores_gemma":[0.000054956072,0.00014920486,0.3428635,0.001785216,0.00007142254,0.00068203936,0.015529326,0.0016835124,0.0016244155,0.104855835,0.5306251,0.00007545709],"about_ca_topic_score_codex":0.022052905,"about_ca_topic_score_gemma":0.019501489,"teacher_disagreement_score":0.022052905,"about_ca_system_score_codex":0.003188828,"about_ca_system_score_gemma":0.0019792034,"threshold_uncertainty_score":0.04384911},"labels":[],"label_agreement":null},{"id":"W3122667131","doi":"","title":"A New Impetus for Endogenous Growth: R&D Offshoring via Virtual Labor Mobility","year":2020,"lang":"en","type":"preprint","venue":"Institutional Repositories DataBase (IRDB)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Japan Society for the Promotion of Science; McGill University","keywords":"Offshoring; Endogenous growth theory; Economics; Labor mobility; Labour economics; Growth rate; Quality (philosophy); Business; Outsourcing; Human capital; Market economy","score_opus":0.06431309463616854,"score_gpt":0.2423612881307787,"score_spread":0.17804819349461015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122667131","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":[0.23763786,0.0008928826,0.57060874,0.010780532,0.0002193667,0.00014309328,0.0005798844,0.000498288,0.17863935],"genre_scores_gemma":[0.9563746,0.00050666946,0.02144032,0.00034945243,0.00005927785,0.00008350449,0.000056768127,0.0000716514,0.021057721],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99920374,0.0003181746,0.000024667268,0.00017306363,0.00012785457,0.00015258936],"domain_scores_gemma":[0.9978477,0.0008083902,0.00036348047,0.0004506588,0.00014434516,0.00038548396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012996473,0.00056127727,0.00065971236,0.0009430108,0.0015502453,0.0031612406,0.0012209342,0.001636169,0.015083823],"category_scores_gemma":[0.0039105993,0.00048510937,0.0013472448,0.0011293627,0.0030673614,0.005338919,0.0038072586,0.002093406,0.0015340231],"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":[0.00012977581,0.00008700397,0.002507163,0.00008447379,0.000027817687,0.00030441192,0.00030548678,0.050643086,0.0026207073,0.92549926,0.001663413,0.01612735],"study_design_scores_gemma":[0.0001589326,0.00011950934,0.0018426618,0.0000698855,0.000029296576,0.0002521072,0.00026382037,0.086157165,0.0013575454,0.8943687,0.0153362695,0.00004404073],"about_ca_topic_score_codex":0.0036893128,"about_ca_topic_score_gemma":0.0031872566,"teacher_disagreement_score":0.015083823,"about_ca_system_score_codex":0.0018957901,"about_ca_system_score_gemma":0.0014130117,"threshold_uncertainty_score":0.0504604},"labels":[],"label_agreement":null},{"id":"W3122678093","doi":"","title":"Nonlinearities in Economic Growth: A Semiparametric Approach applied to Information Technology data","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Nexus (standard); Human capital; Economics; Information and Communications Technology; Nonparametric statistics; Econometrics; Semiparametric model; Capital deepening; Capital (architecture); Physical capital; Macroeconomics; Labour economics; Capital formation; Financial capital; Computer science; Economic growth; Geography","score_opus":0.06627146226323391,"score_gpt":0.29848484678407533,"score_spread":0.23221338452084142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122678093","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":[0.35714826,0.0010953626,0.63317126,0.0022845096,0.00005189839,0.00014452575,0.0027322515,0.0005016318,0.0028703744],"genre_scores_gemma":[0.96109605,0.00069841335,0.033244845,0.00014066616,0.00009664876,0.00022312182,0.0021509398,0.00007861423,0.0022707337],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99525577,0.0033731058,0.0002143555,0.00054065534,0.00035539427,0.00026074017],"domain_scores_gemma":[0.9359629,0.053461034,0.004942145,0.004115662,0.001196788,0.0003215478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009752052,0.00067048566,0.0013217058,0.0019454837,0.00072940387,0.002466503,0.0013537593,0.0015077702,0.0025943543],"category_scores_gemma":[0.052482,0.00069474726,0.0017220902,0.002589554,0.0018039106,0.002603278,0.0026844086,0.0025225852,0.0005460722],"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":[0.00035164598,0.000258473,0.13316017,0.00037974905,0.0008732391,0.0010864239,0.0012137486,0.6150408,0.0012582525,0.1626646,0.0037103286,0.08000267],"study_design_scores_gemma":[0.00003140281,0.00007333753,0.018500658,0.000046836394,0.000075862474,0.00013710756,0.0002259532,0.88920397,0.00050071813,0.08941408,0.001735128,0.00005502762],"about_ca_topic_score_codex":0.0096264845,"about_ca_topic_score_gemma":0.006725012,"teacher_disagreement_score":0.009752052,"about_ca_system_score_codex":0.00097550615,"about_ca_system_score_gemma":0.00094948214,"threshold_uncertainty_score":0.05157441},"labels":[],"label_agreement":null},{"id":"W3122697866","doi":"10.3386/w12521","title":"Endogenous Skill Bias in Technology Adoption: City-Level Evidence from the IT Revolution","year":2006,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Information technology; Endogeny; Econometrics; Public economics; Demographic economics; Labour economics; Computer science; Medicine; Internal medicine","score_opus":0.6716670434078716,"score_gpt":0.4537503922103075,"score_spread":0.21791665119756415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122697866","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":[0.9960173,0.00051796454,0.00021659081,0.00032342004,0.000005891834,0.00000469626,0.0004071172,0.0000071416,0.0024998386],"genre_scores_gemma":[0.99864787,0.00043329515,0.00008876787,0.0000627035,0.000009778467,0.0000029063508,0.00037788856,0.0000051723823,0.0003717143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929357,0.00018222026,0.0000501591,0.00013722148,0.00014855344,0.00018828643],"domain_scores_gemma":[0.98797846,0.002862778,0.0056555686,0.0017256144,0.0012005041,0.00057700276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009791068,0.00013188017,0.00030735778,0.0014132324,0.000489125,0.0012669613,0.00040766035,0.00046353802,0.00311416],"category_scores_gemma":[0.0062382906,0.0002151914,0.0005138228,0.004639234,0.000960935,0.00070698647,0.0012224668,0.00071502733,0.00044818208],"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":[0.0002286384,0.00007540119,0.9850898,0.00006170932,0.00019687244,0.00011491125,0.00094638113,0.0009851031,0.00027609555,0.0013989015,0.00068706187,0.009939067],"study_design_scores_gemma":[0.000013385638,0.00003260812,0.997294,0.00001523979,0.000065039014,0.000029188002,0.00062108703,0.00037932015,0.00011335943,0.00024271559,0.0011880624,0.0000061032424],"about_ca_topic_score_codex":0.05481464,"about_ca_topic_score_gemma":0.09754231,"teacher_disagreement_score":0.05481464,"about_ca_system_score_codex":0.00057553226,"about_ca_system_score_gemma":0.00061686104,"threshold_uncertainty_score":0.108991146},"labels":[],"label_agreement":null},{"id":"W3122699231","doi":"","title":"On Welfare Reducing Technological Change in a North-South Framework","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Tariff; Welfare; Intellectual property; Technological change; International economics; Foreign direct investment; Order (exchange); Economics; Government (linguistics); Business; International trade; Market economy; Macroeconomics","score_opus":0.022128913429908602,"score_gpt":0.21883419891516293,"score_spread":0.19670528548525432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122699231","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":[0.2531949,0.004260351,0.20802853,0.02397186,0.00029279498,0.00012860655,0.00046702995,0.0001936669,0.5094623],"genre_scores_gemma":[0.9555195,0.0020379836,0.010393467,0.0014171483,0.00024234272,0.00012161054,0.000056929584,0.000055303903,0.030155636],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992706,0.00033873768,0.000013686721,0.00014152496,0.000071445356,0.00016391464],"domain_scores_gemma":[0.99891675,0.00051957014,0.00021129625,0.00012619748,0.00009484106,0.00013151288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015958514,0.0006757334,0.00062075176,0.00093950925,0.0016596628,0.002016073,0.000734916,0.0023894112,0.014715389],"category_scores_gemma":[0.002203866,0.0002887782,0.001194098,0.00064417196,0.0041106185,0.002464935,0.0024128708,0.0017674025,0.00071769493],"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":[0.00005515151,0.000053672284,0.00080626796,0.00010256727,0.00002319481,0.00017880886,0.00015530932,0.017852236,0.001510475,0.9621486,0.0029763842,0.014137286],"study_design_scores_gemma":[0.00004939081,0.00005830481,0.0020085592,0.000068037545,0.00003318422,0.0001335391,0.00023133833,0.026573027,0.00045557847,0.9589839,0.0113888,0.000016372813],"about_ca_topic_score_codex":0.0031530934,"about_ca_topic_score_gemma":0.0036188492,"teacher_disagreement_score":0.014715389,"about_ca_system_score_codex":0.0025984182,"about_ca_system_score_gemma":0.0011072647,"threshold_uncertainty_score":0.049227953},"labels":[],"label_agreement":null},{"id":"W3122756257","doi":"","title":"Global Links: The Benefits to Domestically-controlled Plants from Inward Direct Investment - The Role of Vertical Linkages","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Foreign direct investment; Outsourcing; Control (management); Business; Industrial organization; Technology transfer; International trade; Foreign ownership; International economics; Economics; Marketing; Macroeconomics","score_opus":0.027313776342034402,"score_gpt":0.26580354610910506,"score_spread":0.23848976976707065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122756257","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":[0.9851972,0.0012779788,0.00075493124,0.00028313653,0.000008882625,0.000013116106,0.0016520823,0.000027023065,0.010785703],"genre_scores_gemma":[0.9973296,0.00039225354,0.00010399861,0.000021376576,0.0000050587014,0.000002661166,0.0007266775,0.0000045114184,0.0014138226],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996413,0.0000442411,0.000012826706,0.000076301934,0.000074760916,0.0001505866],"domain_scores_gemma":[0.9970831,0.0006569548,0.0014022274,0.0001342669,0.0002764832,0.00044700285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005461606,0.00031471928,0.0003121042,0.0010841442,0.00042367732,0.0015458129,0.00033792466,0.00033844355,0.0037025006],"category_scores_gemma":[0.0027429066,0.00011182293,0.0003127416,0.0029825028,0.00096873933,0.0010391264,0.0014092362,0.0006481956,0.00023954088],"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":[0.00018276728,0.00005111101,0.9494865,0.00011400585,0.00021985034,0.0004625417,0.0005620691,0.013161052,0.00069586944,0.0065003135,0.0016221311,0.026941793],"study_design_scores_gemma":[0.000023789722,0.00009048176,0.9862459,0.000050799055,0.00016296068,0.00014730684,0.001581968,0.0029982708,0.0007860843,0.0023376571,0.0055603944,0.000014362296],"about_ca_topic_score_codex":0.21653569,"about_ca_topic_score_gemma":0.36150363,"teacher_disagreement_score":0.21653569,"about_ca_system_score_codex":0.0024068465,"about_ca_system_score_gemma":0.0013250988,"threshold_uncertainty_score":0.43055063},"labels":[],"label_agreement":null},{"id":"W3122804380","doi":"","title":"Analyzing R&D Efficiency in Asia and the OECD: An Application of the Malmquist Productivity Index","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"Simon Fraser University","funders":"","keywords":"Index (typography); Malmquist index; Productivity; Economics; Econometrics; Total factor productivity; International trade; Macroeconomics; Computer science","score_opus":0.007260658898279544,"score_gpt":0.20344382466497482,"score_spread":0.19618316576669528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122804380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9742924,0.001813717,0.0046020155,0.0005284455,0.000013600457,0.000024869967,0.0017263484,0.000059453327,0.016939165],"genre_scores_gemma":[0.9958911,0.00062097714,0.0018657887,0.000035766832,0.000017582224,0.000018839295,0.00081245165,0.0000130607295,0.00072437024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986778,0.00041447757,0.000118957694,0.00012744892,0.00044729587,0.00021403728],"domain_scores_gemma":[0.9921185,0.0038065366,0.0023017263,0.00042563563,0.0010474381,0.00030020613],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0037326175,0.00041069076,0.0005947001,0.0062463833,0.0003799414,0.0029223158,0.00055228674,0.0004826484,0.0010526703],"category_scores_gemma":[0.011187965,0.00015667222,0.0008658539,0.010188351,0.00067947205,0.0022113055,0.0017527154,0.00060621207,0.0002098797],"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":[0.00015500576,0.000055277913,0.92541504,0.00007658632,0.00030352504,0.0002933665,0.0006414843,0.017240971,0.0004130228,0.01522692,0.0014038966,0.03877487],"study_design_scores_gemma":[0.00003532011,0.00013638359,0.9435222,0.000093750445,0.00036608105,0.00020763988,0.0033895022,0.028210612,0.0025900488,0.013445086,0.007967944,0.00003543296],"about_ca_topic_score_codex":0.047641013,"about_ca_topic_score_gemma":0.02946765,"teacher_disagreement_score":0.9962674,"about_ca_system_score_codex":0.0024556126,"about_ca_system_score_gemma":0.003010956,"threshold_uncertainty_score":0.0947274},"labels":[],"label_agreement":null},{"id":"W3122813722","doi":"","title":"A Recursive Thick Frontier Approach To Estimating Production Efficiency","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Inefficiency; Estimator; Frontier; Econometrics; Production (economics); Component (thermodynamics); Production–possibility frontier; Panel data; Productivity; Estimation; Term (time); Efficient frontier; Economics; Computer science; Mathematical optimization; Mathematics; Statistics; Microeconomics; Financial economics","score_opus":0.051893856112113536,"score_gpt":0.28662211952056665,"score_spread":0.23472826340845312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122813722","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":[0.005823824,0.00029846386,0.9919546,0.00007891643,0.00001287482,0.000017135242,0.00013964034,0.00008227859,0.0015922438],"genre_scores_gemma":[0.34983623,0.0014148226,0.6393332,0.00013802208,0.000079991434,0.0003337665,0.0011885533,0.00019004787,0.007485336],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979189,0.0013111411,0.00008134652,0.00024439767,0.00033397874,0.00011028932],"domain_scores_gemma":[0.9945141,0.004029167,0.00042735427,0.00059778994,0.0003694553,0.00006211194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037136711,0.0008937475,0.0009291304,0.0020308625,0.00035994625,0.001809433,0.001241458,0.0011111308,0.0067323255],"category_scores_gemma":[0.013400021,0.00052919844,0.0011652485,0.0024743185,0.0006837063,0.0023909197,0.0012500207,0.0015524863,0.0010864814],"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":[0.00003752662,0.00007068295,0.0021520543,0.0001374983,0.00016470366,0.00011546915,0.00010820738,0.69460094,0.001571881,0.18099195,0.0023695296,0.117679566],"study_design_scores_gemma":[0.000008671215,0.000047267997,0.0011142442,0.000037231122,0.000025556996,0.000039563143,0.00002545318,0.89102536,0.0008099109,0.10306974,0.0037698331,0.000027253396],"about_ca_topic_score_codex":0.003692541,"about_ca_topic_score_gemma":0.0028587584,"teacher_disagreement_score":0.0067323255,"about_ca_system_score_codex":0.0007248907,"about_ca_system_score_gemma":0.00086627854,"threshold_uncertainty_score":0.022521853},"labels":[],"label_agreement":null},{"id":"W3122844813","doi":"","title":"Differences in Canadian and US Income Levels, 1961 to 2008","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"GDP deflator; Purchasing power; Production (economics); National accounts; Economics; Measures of national income and output; Purchasing power parity; Econometrics; Power (physics); Public economics; Real gross domestic product; Macroeconomics","score_opus":0.057187715902414386,"score_gpt":0.27556835090643444,"score_spread":0.21838063500402005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122844813","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":[0.5700605,0.0065193935,0.00095282553,0.0032878611,0.0003798428,0.000079403,0.338262,0.0003022917,0.08015589],"genre_scores_gemma":[0.80079186,0.0048316633,0.0014148462,0.00036755216,0.000074466865,0.000049730297,0.15248793,0.00009228042,0.039889634],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870145,0.000039161096,0.000054024065,0.00015067821,0.00064075284,0.00041389608],"domain_scores_gemma":[0.996314,0.00012066739,0.0003202508,0.00008146066,0.0028838918,0.00027982847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009191814,0.00049926416,0.00039756615,0.0046161273,0.0021348402,0.0018022911,0.0009370449,0.00027429668,0.0060991747],"category_scores_gemma":[0.0042723725,0.00018484535,0.00069978915,0.012141489,0.00044854044,0.0005531898,0.0009290941,0.00085121347,0.0012431885],"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":[0.0009368188,0.000095037925,0.66513866,0.000460984,0.00048361876,0.0003549356,0.0042557744,0.0031623049,0.00052627857,0.016512886,0.2037829,0.10428976],"study_design_scores_gemma":[0.000009057905,0.000010925211,0.93628365,0.000056974204,0.000040354204,0.000066988054,0.0011642755,0.00031917842,0.00030924784,0.00013255657,0.061578155,0.000028691904],"about_ca_topic_score_codex":0.9961655,"about_ca_topic_score_gemma":0.99734783,"teacher_disagreement_score":0.039558467,"about_ca_system_score_codex":0.039558467,"about_ca_system_score_gemma":0.024980616,"threshold_uncertainty_score":0.28701812},"labels":[],"label_agreement":null},{"id":"W3122849427","doi":"","title":"Emerging Economies'Versus Advanced Countries'Investment Impact in Africa","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Foreign direct investment; Emerging markets; Productivity; China; Investment (military); Corporate governance; Business; Economics; Human capital; Development economics; International economics; International trade; Economy; Geography; Economic growth; Political science; Finance; Macroeconomics","score_opus":0.015757070436842782,"score_gpt":0.2260039953854228,"score_spread":0.21024692494858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122849427","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":[0.9718936,0.0028126934,0.00021014852,0.0009711328,0.000017347771,0.0000057605102,0.00063532323,0.000004083446,0.023449956],"genre_scores_gemma":[0.9953252,0.0028186047,0.00009765206,0.00007357287,0.000014431095,0.0000040436566,0.0002532462,0.000002604415,0.0014106766],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970907,0.000066903325,0.000016031274,0.000042947922,0.00004332913,0.000121606965],"domain_scores_gemma":[0.9986527,0.0003150803,0.00060661195,0.000048082402,0.00019702468,0.0001805617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047904556,0.00020216161,0.00016502281,0.0010022704,0.00022743769,0.0012115315,0.00012561714,0.00017129138,0.0023775492],"category_scores_gemma":[0.0021855899,0.000080813435,0.00018417156,0.0021545824,0.00045922227,0.00094118644,0.0010525545,0.00044247296,0.0001738706],"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":[0.00025174106,0.000056093184,0.903671,0.00024660205,0.000121968864,0.001605689,0.0027682844,0.0051989774,0.0012259423,0.019593043,0.002024981,0.06323575],"study_design_scores_gemma":[0.000012306261,0.000043809938,0.9784129,0.00023998872,0.000046678597,0.00026724333,0.0030344084,0.0007953813,0.00061185565,0.001564059,0.014962443,0.000008877622],"about_ca_topic_score_codex":0.0150617305,"about_ca_topic_score_gemma":0.026641104,"teacher_disagreement_score":0.0150617305,"about_ca_system_score_codex":0.0008076044,"about_ca_system_score_gemma":0.00067647983,"threshold_uncertainty_score":0.029948115},"labels":[],"label_agreement":null},{"id":"W3122863244","doi":"","title":"The Structural Transformation and Aggregate Productivity in Portugal","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Productivity; Agricultural productivity; Multifactor productivity; Economics; Aggregate (composite); Tertiary sector of the economy; Agriculture; Productivity model; Econometrics; Agricultural economics; Total factor productivity; Economy; Macroeconomics; Geography","score_opus":0.03141324227836327,"score_gpt":0.2666981611411518,"score_spread":0.23528491886278852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122863244","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":[0.8759456,0.0021739113,0.009594601,0.0050821453,0.00013368271,0.000030388288,0.0026003527,0.00023512018,0.10420414],"genre_scores_gemma":[0.9958538,0.00044177502,0.00068063615,0.00005688349,0.00007130169,0.000008897481,0.000345445,0.000023704994,0.0025176122],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992685,0.00011498382,0.000046701087,0.00015803582,0.00021962266,0.00019219599],"domain_scores_gemma":[0.99835134,0.00038417583,0.0006939209,0.00023830248,0.00020931655,0.0001229141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010105382,0.0003531067,0.00051947444,0.0012344562,0.00083549303,0.0035820806,0.00043337402,0.00061886734,0.0054009487],"category_scores_gemma":[0.0046406346,0.0002451048,0.00056547293,0.0034067286,0.0012733381,0.0017715497,0.0014974417,0.0007512165,0.00063239934],"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":[0.0011773575,0.00021406787,0.18612869,0.00084643916,0.00029232303,0.0020616304,0.011050124,0.0649577,0.0076771853,0.586992,0.009178128,0.12942433],"study_design_scores_gemma":[0.00019518302,0.00022049299,0.58789927,0.00026964658,0.000113991904,0.0007441653,0.0067952196,0.026260097,0.004121102,0.28281787,0.090469316,0.00009362599],"about_ca_topic_score_codex":0.0148964515,"about_ca_topic_score_gemma":0.011858439,"teacher_disagreement_score":0.0148964515,"about_ca_system_score_codex":0.002744449,"about_ca_system_score_gemma":0.0014253388,"threshold_uncertainty_score":0.029619515},"labels":[],"label_agreement":null},{"id":"W3122863521","doi":"10.1515/1524-5861.1873","title":"The Contribution of Chinese FDI to Africa's Pre Crisis Growth Surge","year":2012,"lang":"en","type":"article","venue":"Global economy journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Economics; Foreign direct investment; Growth accounting; Stock (firearms); Financial crisis; Stock market; Monetary economics; International economics; Demographic economics; Macroeconomics; Total factor productivity; Productivity; Geography","score_opus":0.01262261807104967,"score_gpt":0.21687092133476293,"score_spread":0.20424830326371327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122863521","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":[0.99446565,0.00017311644,0.000053679218,0.00036011278,0.000009820864,0.000004275729,0.00024587472,0.0000091432685,0.0046782866],"genre_scores_gemma":[0.9990796,0.00020276158,0.000027505645,0.00002444635,0.000009050353,0.0000029077626,0.00019445112,0.0000023983152,0.00045692138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998241,0.000018392706,0.000007636113,0.00002084238,0.000032619904,0.000096411706],"domain_scores_gemma":[0.99938595,0.00011251258,0.00019246935,0.000047186397,0.00015882138,0.00010298105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047917708,0.00033860686,0.00017769514,0.001013853,0.0005140577,0.0008066426,0.0001721418,0.0001892762,0.0015201269],"category_scores_gemma":[0.0017137758,0.00010814914,0.00024937277,0.0012137336,0.00049563206,0.00059551204,0.0006800091,0.0004372623,0.00018480554],"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":[0.00024363889,0.000031900552,0.9472822,0.00009874722,0.000051794323,0.0009495799,0.002117475,0.003184575,0.003296805,0.0029189056,0.0021842013,0.03764018],"study_design_scores_gemma":[0.000004588746,0.000028535964,0.9932335,0.000017697916,0.000023703982,0.00009289933,0.0012447082,0.0018665337,0.0009853324,0.00027902576,0.0022163342,0.000006962003],"about_ca_topic_score_codex":0.047995586,"about_ca_topic_score_gemma":0.034148227,"teacher_disagreement_score":0.047995586,"about_ca_system_score_codex":0.001093132,"about_ca_system_score_gemma":0.0010816648,"threshold_uncertainty_score":0.09543246},"labels":[],"label_agreement":null},{"id":"W3122869205","doi":"","title":"Convergence in Us and EU Agriculture","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Convergence (economics); Agriculture; Productivity; Quarter (Canadian coin); Economics; Agricultural economics; International economics; Geography; Economic growth","score_opus":0.0073334785529506966,"score_gpt":0.1745855852341323,"score_spread":0.16725210668118162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122869205","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9549042,0.0044568703,0.0013672336,0.0012185399,0.00006878368,0.00001865167,0.0016129182,0.000048886046,0.036304038],"genre_scores_gemma":[0.9951839,0.0007924726,0.00042405038,0.00019163615,0.000019132523,0.000012398703,0.0017496034,0.000016871194,0.0016100052],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981629,0.0005940415,0.0001858555,0.00040464953,0.000284069,0.00036853037],"domain_scores_gemma":[0.9959972,0.0012111824,0.000823052,0.00036028784,0.0013540386,0.000254279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002947648,0.0001998358,0.00047157044,0.004317424,0.00050772267,0.0016099826,0.000247675,0.00049026165,0.004231322],"category_scores_gemma":[0.010592194,0.00013398634,0.00034814313,0.00561076,0.0006499432,0.0012321033,0.0021086973,0.00049363746,0.00064384483],"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":[0.001350466,0.0001529093,0.7816991,0.0003224301,0.00029948071,0.0006100897,0.0070631295,0.008772394,0.0015176293,0.029956343,0.011205771,0.15705022],"study_design_scores_gemma":[0.000026694777,0.00010749268,0.96003795,0.00021931223,0.000049962713,0.00032837345,0.0030918415,0.0021183547,0.00072166923,0.0051716147,0.028100051,0.00002664678],"about_ca_topic_score_codex":0.011697793,"about_ca_topic_score_gemma":0.011355406,"teacher_disagreement_score":0.011697793,"about_ca_system_score_codex":0.0010208928,"about_ca_system_score_gemma":0.00061947043,"threshold_uncertainty_score":0.023259401},"labels":[],"label_agreement":null},{"id":"W3122940116","doi":"","title":"The Australian Business Cycle: Joe Palooka or Dead Cat Bounce?","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business cycle; Economics; Asymmetry; Endogenous growth theory; Monetary economics; Econometrics; Keynesian economics; Market economy; Physics","score_opus":0.027033948665984596,"score_gpt":0.20944025672139713,"score_spread":0.18240630805541252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122940116","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3323078,0.06588389,0.009064358,0.36589888,0.0063619013,0.00007530875,0.0010054985,0.00024396974,0.21915832],"genre_scores_gemma":[0.882811,0.023239972,0.0017141553,0.015685646,0.0015082861,0.000031988966,0.00025071113,0.00011556861,0.0746427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99963415,0.00010607753,0.000020273228,0.000059702026,0.00011910886,0.000060678933],"domain_scores_gemma":[0.99811685,0.00050104054,0.0003974378,0.00019591251,0.00047176523,0.00031698853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010277765,0.00017373619,0.0002914737,0.000752394,0.0014418042,0.0038888608,0.00034901727,0.00096957036,0.0069696903],"category_scores_gemma":[0.012039427,0.00016944001,0.00015074985,0.0016352915,0.0020927638,0.0048106997,0.0012736389,0.0015725243,0.0011497122],"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":[0.00026112888,0.0000860222,0.037050862,0.00060178584,0.00006575372,0.0007086555,0.01353283,0.002049598,0.00075861486,0.43397152,0.18695624,0.3239569],"study_design_scores_gemma":[0.000020274634,0.000067276276,0.08845716,0.0006964762,0.00004162204,0.0005105948,0.0063244477,0.0070864502,0.0003822355,0.27278525,0.6235619,0.000066242224],"about_ca_topic_score_codex":0.033240136,"about_ca_topic_score_gemma":0.035346728,"teacher_disagreement_score":0.033240136,"about_ca_system_score_codex":0.0021028826,"about_ca_system_score_gemma":0.0019881867,"threshold_uncertainty_score":0.066093326},"labels":[],"label_agreement":null},{"id":"W3122940329","doi":"","title":"Value Maximizing Hurdle Rates for R&D Investment","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Downside risk; Investment (military); Value (mathematics); Economics; Investment value; Microeconomics; Value at risk; Control (management); Risk management; Actuarial science; Financial economics; Finance; Mathematics; Statistics","score_opus":0.024475003825244538,"score_gpt":0.24469385492439769,"score_spread":0.22021885109915315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122940329","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":[0.42827597,0.009446676,0.31839073,0.004394376,0.00042982193,0.00015706108,0.00043637046,0.0006835408,0.23778547],"genre_scores_gemma":[0.9719011,0.0023406711,0.012518458,0.00022890166,0.0001975566,0.00010018749,0.00008719311,0.00011543194,0.0125104785],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984665,0.00044768897,0.000059100552,0.00032772621,0.00032297563,0.00037601206],"domain_scores_gemma":[0.9886741,0.0066628307,0.0018959037,0.0010268339,0.00092822016,0.00081213634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027394928,0.00090819504,0.00095114403,0.0009272445,0.0008049123,0.0033716592,0.0009870285,0.0013225474,0.0068634823],"category_scores_gemma":[0.023780521,0.00043056055,0.0009953992,0.0005099839,0.0016816837,0.003930765,0.0018120566,0.0021800927,0.0013061756],"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":[0.00012521016,0.000048911388,0.0015687322,0.00015978926,0.000023782237,0.00016301527,0.00023737657,0.03411487,0.0048234235,0.9347523,0.0030820873,0.020900438],"study_design_scores_gemma":[0.00005731783,0.00019390833,0.0034765317,0.00019361045,0.000053543765,0.0006739841,0.00017215194,0.14746751,0.0066788127,0.830308,0.010629117,0.000095438154],"about_ca_topic_score_codex":0.0006440403,"about_ca_topic_score_gemma":0.00039165068,"teacher_disagreement_score":0.0068634823,"about_ca_system_score_codex":0.0017284112,"about_ca_system_score_gemma":0.0009346558,"threshold_uncertainty_score":0.022960603},"labels":[],"label_agreement":null},{"id":"W3122963854","doi":"","title":"Polarization of the Poor: Multivariate Relative Poverty Measurement Sans Frontiers","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Poverty; Multivariate statistics; Polarization (electrochemistry); Multivariate analysis; Economics; Life expectancy; Development economics; Per capita; Demographic economics; Econometrics; Economic growth; Demography; Statistics; Sociology; Mathematics; Population; Chemistry","score_opus":0.05132471291953646,"score_gpt":0.2639790773139305,"score_spread":0.21265436439439403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122963854","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":[0.6147096,0.00072322146,0.35022765,0.0017336347,0.00007916999,0.000096999065,0.0012160818,0.00017746104,0.03103621],"genre_scores_gemma":[0.9824975,0.00017430642,0.016577208,0.000045240475,0.000047594996,0.000057432047,0.0001784713,0.000021448614,0.0004007643],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970943,0.0016298364,0.000099935976,0.00022343616,0.0006856029,0.00026684764],"domain_scores_gemma":[0.9941818,0.0025126445,0.0013484627,0.0006181695,0.0009936921,0.000345254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003515749,0.0003531402,0.00048082447,0.002759707,0.0007647994,0.0019369093,0.00045825526,0.0003787991,0.0019139561],"category_scores_gemma":[0.014502543,0.0001509328,0.0004782827,0.0029625401,0.0020387152,0.0039956397,0.0032986938,0.0011547573,0.00015062341],"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":[0.00041797513,0.00015583595,0.17737049,0.0002375825,0.00021103624,0.0002979526,0.004311656,0.06119864,0.002965908,0.4828131,0.0057978737,0.26422194],"study_design_scores_gemma":[0.000019012343,0.00024940836,0.19460475,0.00020095028,0.00006264558,0.00070626417,0.007524585,0.16628352,0.0035557928,0.6089889,0.017662425,0.00014172774],"about_ca_topic_score_codex":0.0013073487,"about_ca_topic_score_gemma":0.0007716696,"teacher_disagreement_score":0.003515749,"about_ca_system_score_codex":0.00062678504,"about_ca_system_score_gemma":0.00043312894,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3123003756","doi":"","title":"Output Convergence and International Trade: Time-Series and Fuzzy Clustering Evidence for New Zealand and Her Trading Partners, 1950-1992","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Bivariate analysis; Convergence (economics); Cluster analysis; Econometrics; Series (stratigraphy); Time series; Multivariate statistics; Fuzzy clustering; Contrast (vision); Per capita; Fuzzy logic; Economics; Computer science; Mathematics; Statistics; Artificial intelligence; Macroeconomics","score_opus":0.11685069416571715,"score_gpt":0.33196628571359676,"score_spread":0.21511559154787963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123003756","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":[0.9981384,0.0001702979,0.00021939458,0.00006416029,0.0000023223859,0.0000038971802,0.00047801284,0.000005949521,0.00091751374],"genre_scores_gemma":[0.9976488,0.00021009991,0.0002983261,0.0000060818425,0.0000057961333,0.0000045363795,0.0013374869,0.000004474354,0.00048424862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969006,0.000041559288,0.00003744092,0.00007836605,0.000103829334,0.00004876478],"domain_scores_gemma":[0.99686193,0.00056628283,0.0013552438,0.00023801302,0.0007168833,0.00026162714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011128384,0.0002320753,0.00038892013,0.0034928685,0.0005735527,0.0009798589,0.0003655461,0.00030741963,0.0012067242],"category_scores_gemma":[0.0076577314,0.00016110433,0.0003772502,0.0052427393,0.0008481398,0.0010007608,0.00083735684,0.00045107605,0.00025472674],"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":[0.00048140748,0.00005333787,0.9560945,0.00008337516,0.0002155568,0.0003827378,0.0031047403,0.006168975,0.0014548843,0.0012851713,0.0014960325,0.029179338],"study_design_scores_gemma":[0.000006189727,0.000021638582,0.9962107,0.000008526141,0.00002884169,0.000075042095,0.0005013044,0.0022420606,0.00017658243,0.00019481189,0.0005255864,0.0000086867285],"about_ca_topic_score_codex":0.2306829,"about_ca_topic_score_gemma":0.2620931,"teacher_disagreement_score":0.2306829,"about_ca_system_score_codex":0.0019184082,"about_ca_system_score_gemma":0.00049829646,"threshold_uncertainty_score":0.4586804},"labels":[],"label_agreement":null},{"id":"W3123018403","doi":"10.1111/1540-5982.00122","title":"Is the <i>AK</i> model still alive? The long‐run relation between growth and investment re‐examined","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Humanities; Investment (military); Economics; Political science; Philosophy","score_opus":0.1722779559353162,"score_gpt":0.17432449523383858,"score_spread":0.0020465392985223874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123018403","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":[0.35620677,0.014269101,0.33436725,0.08578234,0.0019712741,0.00012743006,0.003301554,0.0010613567,0.202913],"genre_scores_gemma":[0.9656371,0.0038181555,0.006886931,0.0015793082,0.00044926527,0.00005803524,0.00042221817,0.0000911161,0.021057917],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99923205,0.00021369908,0.000050139846,0.00021979799,0.00009579086,0.00018857386],"domain_scores_gemma":[0.996425,0.0012578452,0.0012685626,0.00037586733,0.00046856716,0.00020407983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002195719,0.0006913788,0.0009375098,0.00084098516,0.00058617786,0.0049502915,0.002278952,0.0017282186,0.010395159],"category_scores_gemma":[0.00508082,0.00032718136,0.0016322379,0.0015741048,0.00208143,0.004578521,0.0013445447,0.00262096,0.0029536912],"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":[0.00016658084,0.000057824658,0.012837039,0.0003568409,0.00018773394,0.00033514237,0.00027346768,0.04702562,0.0005976804,0.895261,0.01042005,0.032481015],"study_design_scores_gemma":[0.000041270345,0.000063890955,0.0073106466,0.00011916236,0.00010920508,0.00021496364,0.00031412276,0.14463186,0.00030138952,0.8299461,0.016891062,0.00005619284],"about_ca_topic_score_codex":0.012315805,"about_ca_topic_score_gemma":0.00547883,"teacher_disagreement_score":0.012315805,"about_ca_system_score_codex":0.0024544552,"about_ca_system_score_gemma":0.0016797963,"threshold_uncertainty_score":0.034775317},"labels":[],"label_agreement":null},{"id":"W3123176595","doi":"","title":"Are factor biases and substitution identifiable? The Canadian evidence","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Impossibility; Elasticity of substitution; Econometrics; Economics; Unitary state; Substitution (logic); Elasticity (physics); Technical change; Mathematical economics; Productivity; Microeconomics; Computer science; Macroeconomics; Production (economics); Political science; Law","score_opus":0.1595954283373552,"score_gpt":0.31718003903474,"score_spread":0.1575846106973848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123176595","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":[0.453212,0.06544569,0.04260719,0.06741956,0.00065369933,0.0001640715,0.03020962,0.0006112861,0.33967683],"genre_scores_gemma":[0.965089,0.014942188,0.0033097223,0.0021305585,0.00015348916,0.00001552615,0.0027030304,0.00010430084,0.011552193],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9943175,0.00073757657,0.00037361844,0.0013824358,0.0021476524,0.0010412582],"domain_scores_gemma":[0.9703287,0.011984295,0.004346764,0.006390749,0.0062487707,0.00070084236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005590853,0.00077859,0.0013089479,0.002960465,0.002526477,0.0040534562,0.00219598,0.0013424571,0.018438788],"category_scores_gemma":[0.036332157,0.0005006471,0.0015201726,0.009447595,0.0046685846,0.003610978,0.0016255868,0.001914551,0.0018635498],"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":[0.0006147235,0.00006357511,0.20121267,0.0015801766,0.000733709,0.00088651926,0.0036425244,0.008500778,0.0005680938,0.51993173,0.036772393,0.22549303],"study_design_scores_gemma":[0.00017063883,0.000060938324,0.37404358,0.002000536,0.0010024181,0.0009271494,0.007828726,0.015572619,0.003057443,0.34332484,0.2516825,0.00032861144],"about_ca_topic_score_codex":0.9363215,"about_ca_topic_score_gemma":0.8876244,"teacher_disagreement_score":0.0636785,"about_ca_system_score_codex":0.012861253,"about_ca_system_score_gemma":0.019121876,"threshold_uncertainty_score":0.12810701},"labels":[],"label_agreement":null},{"id":"W3123251028","doi":"","title":"Productivity Growth and International Competitiveness","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; Production (economics); Consumption (sociology); International trade; Economics; Foreign direct investment; Investment (military); Multifactor productivity; European union; Total factor productivity; International economics; Upstream (networking); Agricultural economics; Macroeconomics; Engineering","score_opus":0.045825346984238895,"score_gpt":0.2837365442059097,"score_spread":0.2379111972216708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123251028","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":[0.48111424,0.017719794,0.033424616,0.0049688197,0.00036377372,0.000092438815,0.013185137,0.00043797295,0.4486932],"genre_scores_gemma":[0.9840396,0.003989089,0.0022782732,0.00011025491,0.00018585805,0.000039578103,0.0041773524,0.000044214932,0.005135845],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990182,0.0001354036,0.000042848067,0.00015497209,0.00040785148,0.00024062273],"domain_scores_gemma":[0.9974885,0.0005617192,0.00067902496,0.00019536076,0.0008652929,0.00021015773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012326874,0.0006389569,0.00041642084,0.0055014943,0.0003690645,0.0025737726,0.00034681227,0.00030253496,0.003790251],"category_scores_gemma":[0.0065172603,0.00010337639,0.000510016,0.0070537487,0.000925388,0.0021018423,0.0014062847,0.00080116576,0.0006761814],"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":[0.00015143421,0.000057545083,0.22538501,0.00041052751,0.00042886278,0.0003227457,0.0016653104,0.04223929,0.00079291925,0.45350152,0.025224982,0.24981987],"study_design_scores_gemma":[0.0000421333,0.00011276779,0.54797184,0.0003480406,0.00017189689,0.00053711346,0.0025218374,0.020515637,0.001954271,0.18910156,0.23664209,0.00008092614],"about_ca_topic_score_codex":0.018213317,"about_ca_topic_score_gemma":0.008891561,"teacher_disagreement_score":0.018213317,"about_ca_system_score_codex":0.0029411146,"about_ca_system_score_gemma":0.0013447156,"threshold_uncertainty_score":0.03621465},"labels":[],"label_agreement":null},{"id":"W3123263178","doi":"","title":"The regulation of entry and aggregate productivity","year":2006,"lang":"en","type":"preprint","venue":"Cadmus - EUI Research Repository (European University Institute)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Productivity; Total factor productivity; Capital intensity; Capital (architecture); Economics; Production (economics); Barriers to entry; Industrial organization; European union; Labour economics; Monetary economics; International trade; Business; Microeconomics; Human capital; Macroeconomics; Market economy; Market structure","score_opus":0.05068090375079248,"score_gpt":0.2319091284141917,"score_spread":0.18122822466339922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123263178","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":[0.9297103,0.0029542253,0.011622104,0.0024342148,0.00010001299,0.00003085973,0.0007287103,0.00015889175,0.05226073],"genre_scores_gemma":[0.99625456,0.00053677993,0.00029743655,0.00007739644,0.000042479413,0.000015457617,0.0001708629,0.000008602032,0.0025964284],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99891806,0.00030412138,0.000077795805,0.00021150499,0.00023043322,0.00025815982],"domain_scores_gemma":[0.98911554,0.003945211,0.0049157534,0.000832314,0.0006831463,0.000508043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015898213,0.00029255752,0.00050218566,0.0007763159,0.00033388459,0.004167354,0.00032618284,0.00067672424,0.004330988],"category_scores_gemma":[0.007041449,0.00016880318,0.00061343855,0.0012009729,0.0011324945,0.001305414,0.0011156847,0.00084108685,0.0006357091],"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":[0.0009703802,0.0006204185,0.33469847,0.00039836118,0.0005156708,0.00075759063,0.001600313,0.06437803,0.010267012,0.4594302,0.014650779,0.111712806],"study_design_scores_gemma":[0.00028027676,0.0004535816,0.7028651,0.00022717706,0.0002198424,0.0004026892,0.0012397837,0.04171239,0.0059923525,0.21603425,0.030452807,0.000119705575],"about_ca_topic_score_codex":0.003766675,"about_ca_topic_score_gemma":0.0013127769,"teacher_disagreement_score":0.004330988,"about_ca_system_score_codex":0.0012682611,"about_ca_system_score_gemma":0.00072449323,"threshold_uncertainty_score":0.014488637},"labels":[],"label_agreement":null},{"id":"W3123274845","doi":"","title":"The Output Gap Between Canada and the United States: The Role of Productivity (1994-2002)","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"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":"Productivity; Per capita; Economics; Output gap; Agricultural economics; Demographic economics; Demography; Economic growth; Monetary economics; Population; Interest rate","score_opus":0.03937354417015195,"score_gpt":0.25554200426691764,"score_spread":0.21616846009676569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123274845","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":[0.7816568,0.036431674,0.0010840648,0.022329198,0.000853663,0.00005491832,0.10164128,0.00026321996,0.05568523],"genre_scores_gemma":[0.95377713,0.0075198403,0.0005123632,0.000465171,0.00016997432,0.000018451725,0.028581427,0.000065468594,0.008890204],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986475,0.000050046565,0.000051984345,0.00016476911,0.00060621474,0.0004795121],"domain_scores_gemma":[0.99416816,0.00039469163,0.00062806206,0.000078443816,0.0040439074,0.0006867896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012719308,0.0004933761,0.00058000244,0.003913723,0.0021027646,0.005197212,0.0008871065,0.00073360675,0.002085589],"category_scores_gemma":[0.006102789,0.00020669524,0.00044090438,0.0109323915,0.0008560866,0.0011591646,0.0015657009,0.0015576496,0.0003802628],"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":[0.000924891,0.00014109333,0.6587414,0.00063421647,0.00039713015,0.0009859088,0.0040242,0.007454248,0.00051236205,0.029725937,0.15479787,0.14166076],"study_design_scores_gemma":[0.000031614178,0.000021909029,0.93513894,0.00023855,0.000118846765,0.0001417871,0.0026822495,0.00278067,0.00073656003,0.0015698489,0.056495458,0.00004355382],"about_ca_topic_score_codex":0.9824306,"about_ca_topic_score_gemma":0.9784283,"teacher_disagreement_score":0.03173399,"about_ca_system_score_codex":0.03173399,"about_ca_system_score_gemma":0.038570885,"threshold_uncertainty_score":0.23024726},"labels":[],"label_agreement":null},{"id":"W3123279029","doi":"10.34989/swp-2008-4","title":"What Affects MFP in the Long-Run? Evidence from Canadian Industries","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada; Statistics Canada","funders":"","keywords":"Openness to experience; Outsourcing; Productivity; Competition (biology); Error correction model; Economics; Panel data; Information and Communications Technology; Capital (architecture); Capital equipment; Industrial organization; Econometrics; Monetary economics; Business; Cointegration; Macroeconomics; Computer science; Marketing","score_opus":0.08067486682485418,"score_gpt":0.2920350713356856,"score_spread":0.21136020451083143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123279029","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":[0.9494213,0.014117155,0.0011642034,0.008193065,0.000073597956,0.000024796882,0.0093098525,0.000081086255,0.017615134],"genre_scores_gemma":[0.9908799,0.0030713694,0.00019932086,0.0003585041,0.000035278244,0.000005753915,0.0028253177,0.000013211817,0.0026113412],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985061,0.00012985122,0.00007646529,0.00030468352,0.00049604947,0.00048683275],"domain_scores_gemma":[0.98823345,0.002825046,0.0029377344,0.0007134431,0.003769299,0.0015209243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022653015,0.00042773216,0.000497506,0.0019039405,0.0015964115,0.0024823605,0.00093876605,0.0009289012,0.0031556739],"category_scores_gemma":[0.011732597,0.00023555565,0.0008458372,0.004176939,0.0010018622,0.0009128437,0.001137014,0.0012433627,0.00046112208],"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":[0.00017985833,0.000052361727,0.96485037,0.00012997055,0.0003103817,0.00032533336,0.0006919211,0.0041918415,0.00042151945,0.0021098014,0.0034547884,0.023281787],"study_design_scores_gemma":[0.000007475317,0.000023014423,0.99257725,0.00005921468,0.00009476703,0.000032469656,0.00052186276,0.0011082818,0.00022440159,0.00041898774,0.0049120295,0.000020286385],"about_ca_topic_score_codex":0.9666076,"about_ca_topic_score_gemma":0.9638165,"teacher_disagreement_score":0.03339243,"about_ca_system_score_codex":0.011793248,"about_ca_system_score_gemma":0.013120722,"threshold_uncertainty_score":0.08556634},"labels":[],"label_agreement":null},{"id":"W3123295422","doi":"10.2139/ssrn.2201046","title":"On the Efficiency of Intra-Industry Information Transfers: The Demise of the Overreaction Anomaly","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Simon Fraser University","funders":"","keywords":"Demise; Anomaly (physics); Business; Monetary economics; Economics; Physics; Political science; Condensed matter physics; Law","score_opus":0.009386252965513594,"score_gpt":0.17336278999517968,"score_spread":0.16397653702966608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123295422","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":[0.7436528,0.005909777,0.11163354,0.04669937,0.0004464879,0.00003992865,0.0008791851,0.0013534194,0.08938551],"genre_scores_gemma":[0.99196434,0.00076613843,0.0024594106,0.0007308668,0.0003465169,0.00000994929,0.000069364534,0.00012988289,0.003523499],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99880016,0.00042427974,0.000068282505,0.000286231,0.00026207458,0.00015901464],"domain_scores_gemma":[0.96108085,0.02446666,0.0038702767,0.0075477604,0.0023508056,0.00068352115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005587707,0.00036932755,0.0011805333,0.0014027046,0.00074128085,0.0038069475,0.0021675806,0.0031455995,0.010266243],"category_scores_gemma":[0.061065614,0.0004212961,0.0006191889,0.0017450749,0.0039961003,0.008380286,0.0018077767,0.0039189723,0.0012106922],"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":[0.00038355892,0.00009404654,0.012583318,0.00017769182,0.0001455513,0.0005783743,0.00071681273,0.029053906,0.004634922,0.8452933,0.014531588,0.09180689],"study_design_scores_gemma":[0.00008564743,0.000050672945,0.014470487,0.000074587406,0.00006784076,0.00033273737,0.00025699558,0.08169413,0.0030464954,0.89382076,0.0060373303,0.000062291234],"about_ca_topic_score_codex":0.002920606,"about_ca_topic_score_gemma":0.0008424163,"teacher_disagreement_score":0.010266243,"about_ca_system_score_codex":0.0012851603,"about_ca_system_score_gemma":0.0009129907,"threshold_uncertainty_score":0.034344018},"labels":[],"label_agreement":null},{"id":"W3123364433","doi":"10.1162/rest.89.1.100","title":"Demographics and Productivity","year":2007,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":393,"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":"Demographics; Productivity; Workforce; Quarter (Canadian coin); Demographic economics; Economics; Divergence (linguistics); Labour economics; Geography; Demography; Economic growth; Sociology","score_opus":0.03004401431987385,"score_gpt":0.23416475775246515,"score_spread":0.2041207434325913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123364433","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":[0.8020094,0.017449856,0.0049419496,0.011471672,0.0004806176,0.00008928035,0.009174173,0.000110497036,0.15427259],"genre_scores_gemma":[0.9800923,0.008093417,0.00044458456,0.0005463083,0.00032696791,0.000035553974,0.0016743024,0.000013117,0.008773323],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993647,0.00015541012,0.000037562975,0.00010731805,0.00016595086,0.00016915135],"domain_scores_gemma":[0.99497414,0.0011838296,0.001897472,0.00017544195,0.00083639944,0.0009326422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091425696,0.00021920053,0.00026329854,0.0020442002,0.0005172535,0.0016050402,0.00026969943,0.00036782425,0.011080642],"category_scores_gemma":[0.009579487,0.00009963725,0.00019195423,0.0031032057,0.00050675235,0.0016542659,0.0009893568,0.0006385387,0.002805343],"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":[0.00008781019,0.00011652436,0.8367769,0.00021450818,0.00011719738,0.00028153014,0.002189454,0.0015606793,0.00031140738,0.029583648,0.017791022,0.110969335],"study_design_scores_gemma":[0.000009984488,0.000121890975,0.9081983,0.00017789271,0.0000341426,0.00048537596,0.0032037534,0.00048136135,0.00017092118,0.01884168,0.06824859,0.000026023787],"about_ca_topic_score_codex":0.0051776688,"about_ca_topic_score_gemma":0.0037367742,"teacher_disagreement_score":0.011080642,"about_ca_system_score_codex":0.00086980825,"about_ca_system_score_gemma":0.0006054833,"threshold_uncertainty_score":0.037068486},"labels":[],"label_agreement":null},{"id":"W3123367701","doi":"10.1080/13504850701765101&amp;magic=repec&amp;7c&amp;7c8674ecab8bb840c6ad35dc6213a474b5","title":"Electronics Production Upgrading: Is China Exceptional?","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"China; Production (economics); Political science; Humanities; Economics; Art","score_opus":0.047305514906697405,"score_gpt":0.29383673688354023,"score_spread":0.24653122197684282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123367701","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":[0.9311556,0.0040273974,0.00094093743,0.0055978983,0.00010874979,0.00002116662,0.001129721,0.00004696745,0.056971595],"genre_scores_gemma":[0.9917052,0.0023795632,0.00018892964,0.00032726934,0.000066060406,0.0000065093536,0.000491807,0.000008365719,0.0048263925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996873,0.000022970775,0.00002189146,0.000071129165,0.000076161276,0.000120489065],"domain_scores_gemma":[0.99884903,0.00022965539,0.0003997835,0.00014135952,0.00019636762,0.00018388135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006684758,0.00021300145,0.00036989752,0.0012789005,0.00087009376,0.001954327,0.00036807294,0.00041834678,0.005879204],"category_scores_gemma":[0.0014985485,0.000090782574,0.0002412321,0.0033975684,0.000991682,0.0017081586,0.00093533815,0.00044455877,0.00025562473],"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":[0.0002866956,0.000057424655,0.7306052,0.0006959535,0.00019246674,0.0021232825,0.0032719928,0.0032774361,0.0023570359,0.06281338,0.008799846,0.1855194],"study_design_scores_gemma":[0.000013682726,0.00008601229,0.91784745,0.00016943796,0.000097936056,0.00032645135,0.004534687,0.001499195,0.0016516313,0.012702758,0.061035037,0.000035770452],"about_ca_topic_score_codex":0.030322652,"about_ca_topic_score_gemma":0.046845615,"teacher_disagreement_score":0.030322652,"about_ca_system_score_codex":0.0015342839,"about_ca_system_score_gemma":0.0017080032,"threshold_uncertainty_score":0.060292304},"labels":[],"label_agreement":null},{"id":"W3123381701","doi":"","title":"Productivity trends from 1890 to 2012 in advanced countries","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; LEAPS; Convergence (economics); Economics; World War II; Kondratiev wave; Order (exchange); Development economics; Political science; Economic growth; Macroeconomics; Finance","score_opus":0.03626759917468963,"score_gpt":0.2868702600250032,"score_spread":0.2506026608503136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123381701","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":[0.93138164,0.007524485,0.0016572608,0.0011519539,0.00018737283,0.00002958912,0.034935005,0.00021959734,0.02291296],"genre_scores_gemma":[0.9667131,0.0049283127,0.00082426064,0.00011828926,0.00023693178,0.000049952112,0.021163799,0.000046596826,0.0059188986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999286,0.000059952716,0.00008886475,0.0001644246,0.00014245145,0.00025830074],"domain_scores_gemma":[0.9966217,0.00041296345,0.0013557833,0.00015386578,0.0011200728,0.0003354839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091401476,0.0005327297,0.00049235433,0.0077751786,0.00038119525,0.0021871086,0.00031701245,0.00045786332,0.0037980387],"category_scores_gemma":[0.004920369,0.00016491378,0.0007008688,0.012604602,0.00040051923,0.0014928585,0.0010432459,0.0007642301,0.0020579267],"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":[0.0005213255,0.00009655699,0.83717316,0.0009145826,0.0003148497,0.0005508695,0.0044698776,0.006835525,0.0015144433,0.010375135,0.01714502,0.12008859],"study_design_scores_gemma":[0.000007952676,0.00009186728,0.9615297,0.00012455344,0.000038401526,0.00021988753,0.0008841521,0.0006197031,0.00041118456,0.00041435243,0.035633784,0.000024433484],"about_ca_topic_score_codex":0.01045478,"about_ca_topic_score_gemma":0.0053870147,"teacher_disagreement_score":0.01045478,"about_ca_system_score_codex":0.0011316615,"about_ca_system_score_gemma":0.00062659296,"threshold_uncertainty_score":0.020787835},"labels":[],"label_agreement":null},{"id":"W3123420880","doi":"10.3386/w18739","title":"Reallocation and Technology: Evidence from the U.S. Steel Industry","year":2013,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; Princeton University","keywords":"Business","score_opus":0.3613760676685423,"score_gpt":0.42943760502185196,"score_spread":0.06806153735330966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123420880","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":[0.9922956,0.0018042328,0.00049059803,0.0006294599,0.000012467835,0.0000076165597,0.0015626124,0.000015382719,0.0031821404],"genre_scores_gemma":[0.9966492,0.00087466143,0.00017543892,0.00010010671,0.000027932032,0.0000057747698,0.0014604274,0.000002914982,0.0007034448],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992461,0.00015780608,0.00006837987,0.00017708585,0.00021011825,0.00014048807],"domain_scores_gemma":[0.98750997,0.0034378923,0.0068698497,0.00048497473,0.0010183763,0.00067893957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010436515,0.0003196848,0.00027388093,0.003037864,0.00040126083,0.0010818446,0.00030182107,0.00097628107,0.002520223],"category_scores_gemma":[0.006989401,0.00018442565,0.000301931,0.005389555,0.0007921204,0.0010576285,0.0011194673,0.0007336886,0.00063995033],"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":[0.00025191053,0.00012678387,0.9684826,0.00012308171,0.00015018957,0.00031241594,0.001017435,0.0034687899,0.0007946787,0.0012199148,0.0023016245,0.021750512],"study_design_scores_gemma":[0.000022490496,0.00013342657,0.9924865,0.000045507677,0.000041857482,0.00010701534,0.0013021145,0.0012493829,0.0004908885,0.00062968006,0.0034739883,0.00001700535],"about_ca_topic_score_codex":0.027127892,"about_ca_topic_score_gemma":0.04955638,"teacher_disagreement_score":0.027127892,"about_ca_system_score_codex":0.0010641301,"about_ca_system_score_gemma":0.00069074315,"threshold_uncertainty_score":0.05394},"labels":[],"label_agreement":null},{"id":"W3123424326","doi":"10.3386/w23095","title":"Reconciling Models of Diffusion and Innovation: A Theory of the Productivity Distribution and Technology Frontier","year":2017,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"University of British Columbia","keywords":"Excludability; Productivity; Distribution (mathematics); Incentive; Industrial organization; Diffusion; Economics; Frontier; Download; Developing country; Technological change; Absorptive capacity; Business; Microeconomics; Computer science; Public good; Macroeconomics; Economic growth","score_opus":0.24358846853310168,"score_gpt":0.38565568284463614,"score_spread":0.14206721431153446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123424326","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":[0.049866833,0.0035995634,0.8872119,0.009318104,0.00016359489,0.000050868173,0.00016284864,0.00021392133,0.04941236],"genre_scores_gemma":[0.9288274,0.0050466196,0.050854843,0.0006493334,0.0005290681,0.00024649277,0.0001455763,0.0001429441,0.013557685],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982967,0.00093402073,0.000044419026,0.00020636771,0.00028819966,0.00023029096],"domain_scores_gemma":[0.99152136,0.0063783135,0.0006906592,0.00061016827,0.00048424304,0.00031522318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033955052,0.0010585322,0.0013486531,0.002194571,0.0011913572,0.004496309,0.0023298918,0.0034632096,0.0064666322],"category_scores_gemma":[0.016178316,0.00054099225,0.0015485599,0.0028536317,0.0035660637,0.009166464,0.0031195248,0.0024937203,0.001186584],"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":[0.000015633892,0.00002821563,0.00061980693,0.000039385093,0.00002170232,0.00006752993,0.00020618529,0.07124322,0.00016040921,0.91929233,0.00088525115,0.007420343],"study_design_scores_gemma":[0.000019180468,0.000013442878,0.00019686163,0.000019365298,0.000010016974,0.000034812754,0.000056307585,0.10787513,0.00006402972,0.8892879,0.0024107033,0.000012297433],"about_ca_topic_score_codex":0.0037790397,"about_ca_topic_score_gemma":0.0014628251,"teacher_disagreement_score":0.0064666322,"about_ca_system_score_codex":0.002500017,"about_ca_system_score_gemma":0.0017167518,"threshold_uncertainty_score":0.021633029},"labels":[],"label_agreement":null},{"id":"W3123441068","doi":"10.1162/asep.2006.5.1.1","title":"Purifying Japan's Banks: Issues and Implications","year":2006,"lang":"en","type":"preprint","venue":"Asian Economic Papers","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Shareholder; Corporate governance; Business; Creditor; Plaintiff; Investment (military); Initial public offering; Cash; Frontier; Monetary economics; Financial system; Finance; Accounting; Economics; Debt","score_opus":0.02498054099209398,"score_gpt":0.23125681817427204,"score_spread":0.20627627718217806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123441068","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":[0.6218981,0.00664676,0.028944315,0.25899917,0.0010286896,0.00082572206,0.0009864181,0.00022242093,0.08044839],"genre_scores_gemma":[0.9510239,0.0020583991,0.00897754,0.027905883,0.0011455547,0.0004615487,0.00031844203,0.00003519791,0.008073558],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.98215574,0.009204017,0.0014980776,0.001878197,0.0036531042,0.0016109338],"domain_scores_gemma":[0.8987215,0.061091196,0.015436386,0.009219636,0.011377634,0.0041536624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.030291213,0.00068116817,0.0015375707,0.0013898681,0.0060129617,0.007580092,0.00312655,0.006506306,0.0075718216],"category_scores_gemma":[0.10098633,0.0005625294,0.0005818631,0.0019979647,0.006651196,0.0089799445,0.0039951024,0.0035089282,0.0010603237],"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":[0.0010998489,0.0015660259,0.30292803,0.0012433331,0.00033815723,0.007825212,0.016683936,0.0061820205,0.00287554,0.3787823,0.06432423,0.21615143],"study_design_scores_gemma":[0.00079737615,0.00078642415,0.17389868,0.0023725226,0.0005928796,0.0029283476,0.060987074,0.022422027,0.012733528,0.59265554,0.12950908,0.00031655302],"about_ca_topic_score_codex":0.023562746,"about_ca_topic_score_gemma":0.023305146,"teacher_disagreement_score":0.030291213,"about_ca_system_score_codex":0.0026976678,"about_ca_system_score_gemma":0.008809602,"threshold_uncertainty_score":0.1601972},"labels":[],"label_agreement":null},{"id":"W3123441569","doi":"","title":"Inter-temporal and Inter-Industry Effects of Population Ageing: A General Equilibrium Assessment for Canada","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Economics; Computable general equilibrium; Unemployment; Consumption (sociology); Earnings; Percentage point; Production (economics); General equilibrium theory; Population; Per capita; Labour economics; Wage; Demographic economics; Population ageing; Econometrics; Macroeconomics","score_opus":0.034354255938119124,"score_gpt":0.2986029875568151,"score_spread":0.26424873161869594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123441569","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":[0.9484604,0.0019880903,0.02157245,0.002304853,0.000067706125,0.00017054172,0.0056231585,0.0001723415,0.019640444],"genre_scores_gemma":[0.9813048,0.0010330741,0.0041240654,0.00015897476,0.000018703146,0.000050133047,0.0022940752,0.000040083873,0.010976092],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951136,0.00009451591,0.000013417422,0.00008868683,0.00007050174,0.00022148875],"domain_scores_gemma":[0.99903935,0.00031709095,0.00007886276,0.000050145525,0.00040909732,0.00010540541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013728609,0.000547586,0.0012587808,0.0011538018,0.0012920733,0.0015834505,0.0015976614,0.0011228214,0.0044017527],"category_scores_gemma":[0.0029408475,0.00039754497,0.001828795,0.0021227933,0.00071758276,0.00070346205,0.0008529689,0.0008316883,0.00032053137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017139332,0.0001103498,0.032882147,0.00009227935,0.00012745777,0.0003144642,0.00025885322,0.92231154,0.0004921063,0.030147137,0.004436932,0.008655283],"study_design_scores_gemma":[0.00007074645,0.00004232843,0.01958317,0.00002722978,0.00009582095,0.00004642595,0.00029007866,0.971101,0.00015520927,0.0049421513,0.003594542,0.000051364786],"about_ca_topic_score_codex":0.9775239,"about_ca_topic_score_gemma":0.95184124,"teacher_disagreement_score":0.022476077,"about_ca_system_score_codex":0.019325105,"about_ca_system_score_gemma":0.015318843,"threshold_uncertainty_score":0.14021415},"labels":[],"label_agreement":null},{"id":"W3123452463","doi":"10.1057/978-1-349-95189-5_2870","title":"Factor Misallocation and Development","year":2018,"lang":"en","type":"book-chapter","venue":"The New Palgrave Dictionary of Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Total factor productivity; Economics; Per capita; Productivity; Per capita income; Resource (disambiguation); Demographic economics; Econometrics; Macroeconomics; Demography; Population","score_opus":0.04872961800457578,"score_gpt":0.20187672256132758,"score_spread":0.1531471045567518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123452463","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050882403,0.1276745,0.016621923,0.015907994,0.0007753748,0.0000434827,0.0009177287,0.00024784476,0.7869288],"genre_scores_gemma":[0.59161514,0.1428127,0.0099628605,0.001979492,0.0007549936,0.000096160926,0.00070054206,0.00019605308,0.25188208],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99968195,0.000070652575,0.000014643567,0.000095875315,0.00007417868,0.00006280537],"domain_scores_gemma":[0.9995617,0.00019221866,0.0000595066,0.00008889046,0.000070629256,0.000026972451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006254903,0.00061624934,0.00033777504,0.0013725961,0.00059896556,0.002764414,0.00040674696,0.0006495849,0.016682882],"category_scores_gemma":[0.0019734078,0.00022103122,0.0003027626,0.0028405478,0.0028644772,0.0027181865,0.0014911572,0.00089110126,0.0027552198],"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":[0.00003908461,0.000012416687,0.002291201,0.0001781988,0.000020917792,0.00017125579,0.00061381713,0.0023041018,0.00027534296,0.82081485,0.024210917,0.14906788],"study_design_scores_gemma":[0.000009104279,0.000020941548,0.004660568,0.00026792352,0.0000116791725,0.00048266587,0.000447708,0.0008635993,0.0006038181,0.55787826,0.43473938,0.0000142508015],"about_ca_topic_score_codex":0.003139526,"about_ca_topic_score_gemma":0.0038388094,"teacher_disagreement_score":0.016682882,"about_ca_system_score_codex":0.0029511882,"about_ca_system_score_gemma":0.0013617922,"threshold_uncertainty_score":0.055809855},"labels":[],"label_agreement":null},{"id":"W3123463569","doi":"","title":"A Simulation Analysis of the Longer-Term Effects of Immigration on Per Capita Income in an Aging Population","year":2015,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Immigration; Per capita income; Per capita; Life expectancy; Economics; Demographic economics; Population; Productivity; Population ageing; Fertility; Population growth; Labour economics; Demography; Geography; Economic growth","score_opus":0.022352110873686052,"score_gpt":0.24720468304427526,"score_spread":0.2248525721705892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123463569","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":[0.9772067,0.00031174463,0.008336809,0.00145947,0.00007366204,0.000040811618,0.0016587134,0.00007558154,0.010836587],"genre_scores_gemma":[0.9945259,0.00019592365,0.0018106462,0.00011114984,0.000017644048,0.000039426395,0.0006762575,0.000014736137,0.0026083898],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974626,0.00012846263,0.000008737426,0.00002672036,0.00001611732,0.000073758914],"domain_scores_gemma":[0.9947566,0.0039028064,0.00043218923,0.0002009737,0.00037307368,0.0003343718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001132206,0.0004130018,0.00052932685,0.0006694124,0.00040459796,0.0006353626,0.000645021,0.001143449,0.00663216],"category_scores_gemma":[0.0055333013,0.00019956502,0.0008144893,0.0008975536,0.0005655001,0.0007284723,0.0006409251,0.0010450578,0.00028446314],"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":[0.0004412823,0.00025530404,0.016769845,0.00005594844,0.00009136682,0.00022027522,0.00012781944,0.95162266,0.00043214788,0.020764384,0.004750962,0.0044680685],"study_design_scores_gemma":[0.00011847792,0.00015438396,0.00570017,0.000023253895,0.00004875572,0.00004471666,0.00019546192,0.98602146,0.00017916695,0.006722389,0.0007727742,0.000018885967],"about_ca_topic_score_codex":0.03413355,"about_ca_topic_score_gemma":0.019904323,"teacher_disagreement_score":0.03413355,"about_ca_system_score_codex":0.0012167124,"about_ca_system_score_gemma":0.00076747267,"threshold_uncertainty_score":0.06786972},"labels":[],"label_agreement":null},{"id":"W3123471040","doi":"","title":"Productivity: What Is It? How Is It Measured? What Has Canada's Performance Been?","year":2008,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Productivity; Multifactor productivity; Partial productivity; Productivity model; Economics; Industrial organization; Total factor productivity; Economic growth","score_opus":0.07625632149838196,"score_gpt":0.200374340482456,"score_spread":0.12411801898407404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123471040","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09331682,0.18119316,0.017870625,0.39295554,0.0058035166,0.00021659638,0.039120268,0.0014619329,0.26806155],"genre_scores_gemma":[0.82046115,0.11545947,0.013793848,0.010681228,0.0015402002,0.00011781592,0.011098996,0.00042937862,0.026417982],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.98613703,0.0013721931,0.0005437799,0.0010662697,0.008592213,0.0022885473],"domain_scores_gemma":[0.9575338,0.0038375496,0.0023972976,0.00097064266,0.03175,0.0035107606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008696038,0.0007950765,0.0011676741,0.0071393205,0.0050469725,0.011738476,0.0020416405,0.0012205325,0.0043739434],"category_scores_gemma":[0.034969,0.00029665485,0.00074491964,0.02223076,0.004887757,0.0048187883,0.0015750846,0.00303543,0.001556568],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012383847,0.00007062526,0.1471146,0.0019297254,0.00031462236,0.00013541925,0.0029771675,0.004961648,0.00059798465,0.12123706,0.21228173,0.5082555],"study_design_scores_gemma":[0.000027880502,0.000086384636,0.4739093,0.005152472,0.00020146689,0.00017117287,0.007599301,0.0046059447,0.0014756038,0.023028076,0.4833998,0.00034258713],"about_ca_topic_score_codex":0.9876582,"about_ca_topic_score_gemma":0.97900486,"teacher_disagreement_score":0.8822658,"about_ca_system_score_codex":0.117734216,"about_ca_system_score_gemma":0.18190281,"threshold_uncertainty_score":0.8542255},"labels":[],"label_agreement":null},{"id":"W3123490323","doi":"","title":"The Valuation Relevance of R&D Expenditures: Time Series Evidence","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Valuation (finance); Econometrics; Economics; Earnings; Panel data; Market value; Earnings growth; Financial economics; Accounting","score_opus":0.02297580429087983,"score_gpt":0.22796180145696318,"score_spread":0.20498599716608334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123490323","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":[0.97347564,0.009325485,0.0026944028,0.00087206205,0.00003909789,0.000021768143,0.0013564714,0.000040099643,0.012174933],"genre_scores_gemma":[0.9940766,0.0034524396,0.0002773519,0.0000952652,0.000087831744,0.000005189078,0.0011874464,0.000007846917,0.00080993876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987191,0.00039817,0.00011790926,0.00027501347,0.00038184642,0.00010802496],"domain_scores_gemma":[0.9051801,0.06443776,0.023019392,0.00430055,0.0021696512,0.0008925825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031047608,0.00031031866,0.0005534276,0.002238955,0.00022352781,0.0016515,0.0005369211,0.00082161406,0.0035094882],"category_scores_gemma":[0.027940307,0.0002117244,0.000720872,0.0033217934,0.0006672576,0.0012365916,0.00070047844,0.0009077477,0.0010011409],"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":[0.0007010713,0.0003503924,0.90032876,0.00041359538,0.0009133932,0.0006866274,0.00038611193,0.01151786,0.0011145935,0.0073275683,0.0018926822,0.07436724],"study_design_scores_gemma":[0.000038275684,0.00019221359,0.9817499,0.00011174167,0.00030930876,0.00034013746,0.00033855494,0.007639654,0.0010957277,0.0047632996,0.0033853345,0.00003589867],"about_ca_topic_score_codex":0.0028134985,"about_ca_topic_score_gemma":0.00203756,"teacher_disagreement_score":0.0035094882,"about_ca_system_score_codex":0.0004094008,"about_ca_system_score_gemma":0.00024606785,"threshold_uncertainty_score":0.016419768},"labels":[],"label_agreement":null},{"id":"W3123502945","doi":"10.2139/ssrn.1583699","title":"India's National Innovation System: Key Elements and Corporate Perspectives","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for International Governance Innovation","funders":"Universität Hamburg; University Grants Commission; Department of Science and Technology, Ministry of Science and Technology, India; Department of Scientific and Industrial Research, Ministry of Science and Technology, India","keywords":"Key (lock); Business; National innovation system; Process management; Computer science; Computer security; Economics; Economy","score_opus":0.0321665040214619,"score_gpt":0.20898435546228317,"score_spread":0.17681785144082127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123502945","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":[0.38661253,0.008333848,0.0010354962,0.022265403,0.00017303906,0.000039891507,0.0007562679,0.00007846902,0.580705],"genre_scores_gemma":[0.9906379,0.0017801108,0.00025955983,0.00035717842,0.00008185417,0.000008105248,0.00011526919,0.0000071907884,0.006752786],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9992393,0.00015030643,0.0000424129,0.00008322126,0.00018015076,0.00030468954],"domain_scores_gemma":[0.99826366,0.00054856314,0.000258741,0.00012058283,0.00048707484,0.00032143187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068701716,0.0001855885,0.00022591013,0.003117571,0.002309551,0.007490936,0.00073260494,0.0006962413,0.0049557746],"category_scores_gemma":[0.0014997721,0.00013738882,0.00019503485,0.005110729,0.0038121408,0.0017569745,0.0022400164,0.0011428893,0.0003740166],"study_design_candidate":"qualitative","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":[0.000074444135,0.00007087147,0.023592992,0.00024447127,0.000032058815,0.00040716096,0.0025827037,0.00088883715,0.00069489866,0.92373747,0.0061205225,0.041553576],"study_design_scores_gemma":[0.000031565814,0.0002839898,0.46201333,0.00048157075,0.0001515214,0.001733224,0.014997609,0.0028015813,0.0022567871,0.16880691,0.34630516,0.00013678939],"about_ca_topic_score_codex":0.028660558,"about_ca_topic_score_gemma":0.040160537,"teacher_disagreement_score":0.028660558,"about_ca_system_score_codex":0.00884294,"about_ca_system_score_gemma":0.0066197906,"threshold_uncertainty_score":0.06416035},"labels":[],"label_agreement":null},{"id":"W3123504465","doi":"10.2139/ssrn.2326584","title":"Patterns of Specialization and (Un)Conditional Convergence: The Cases of Brazil, China and India","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"HEC Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"China; Convergence (economics); Conditional convergence; Geography; Econometrics; Economic geography; Economics; Economic growth","score_opus":0.008088633980086345,"score_gpt":0.1939384720152439,"score_spread":0.18584983803515753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123504465","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":[0.99630547,0.000090856614,0.00008044738,0.0001396851,4.6849283e-7,0.000002376092,0.00007546874,0.000003751932,0.0033013842],"genre_scores_gemma":[0.99970585,0.000036096615,0.00003077559,0.0000037235782,4.48854e-7,8.466165e-7,0.00003631677,0.0000011618496,0.00018468048],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997749,0.00005229592,0.000015344678,0.000027980432,0.00002670156,0.00010281933],"domain_scores_gemma":[0.9971566,0.0011410686,0.0007487694,0.00022601121,0.0004192036,0.0003082268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074844615,0.00006888258,0.00020329744,0.001281682,0.0007428996,0.0009249825,0.0005424049,0.00033004134,0.0030794013],"category_scores_gemma":[0.004457814,0.000086744396,0.00023191383,0.0026218835,0.0013076481,0.00060056726,0.0012777215,0.0003537482,0.00012616995],"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":[0.00025770845,0.00005443566,0.9129936,0.00007378853,0.000088135275,0.0018148689,0.011805811,0.0031887381,0.0009861006,0.049745485,0.0012270084,0.017764343],"study_design_scores_gemma":[0.000016320286,0.000030231517,0.9701619,0.000038138303,0.000056874265,0.0006647135,0.014422939,0.0052890745,0.00044004575,0.0066168653,0.0022434555,0.000019418432],"about_ca_topic_score_codex":0.11572763,"about_ca_topic_score_gemma":0.18235452,"teacher_disagreement_score":0.11572763,"about_ca_system_score_codex":0.0011860931,"about_ca_system_score_gemma":0.0008344364,"threshold_uncertainty_score":0.23010802},"labels":[],"label_agreement":null},{"id":"W3123529195","doi":"","title":"Education, Governance, Trade and Distance: Impact on Technology Diffusion and the East Asia-Latin America Productivity Gap","year":2017,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Total factor productivity; Latin Americans; East Asia; Middle East; Recession; Corporate governance; Productivity; Economics; International trade; Development economics; International economics; Geography; Political science; China; Economic growth","score_opus":0.02436546344078424,"score_gpt":0.2807272112505476,"score_spread":0.2563617478097634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123529195","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":[0.9952695,0.0007790123,0.00012597867,0.0006407461,0.0000043191026,0.0000018343673,0.0002666602,0.0000054102743,0.0029066524],"genre_scores_gemma":[0.99842274,0.00045143248,0.000051902603,0.00003288579,0.000009497381,0.0000024890808,0.00021852166,0.0000023927964,0.00080818916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984944,0.000028551573,0.000009760392,0.000025280002,0.000020792422,0.00006614887],"domain_scores_gemma":[0.9986161,0.00026321918,0.0007531219,0.000045969966,0.00012542446,0.00019616197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045082517,0.00011550249,0.00020522163,0.00065629906,0.00024389004,0.0010799592,0.00011658301,0.00022390173,0.0021244779],"category_scores_gemma":[0.0016606174,0.000055296914,0.00027258828,0.0015359605,0.00036919347,0.00079617207,0.001032326,0.00048228374,0.00014267978],"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":[0.000103066726,0.000033413355,0.9826879,0.00003368679,0.00006217276,0.00016321006,0.0007151149,0.0012830042,0.00038900206,0.0023373535,0.0003972841,0.011794862],"study_design_scores_gemma":[0.0000040706136,0.00001946264,0.9949523,0.000023611414,0.00002331471,0.000042715128,0.0012412535,0.00057653576,0.00019234252,0.0003439748,0.0025770094,0.0000034555583],"about_ca_topic_score_codex":0.027468016,"about_ca_topic_score_gemma":0.0229586,"teacher_disagreement_score":0.027468016,"about_ca_system_score_codex":0.0007675253,"about_ca_system_score_gemma":0.000581431,"threshold_uncertainty_score":0.054616272},"labels":[],"label_agreement":null},{"id":"W3123569178","doi":"","title":"A Century of Human Capital and Hours","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Life expectancy; Human capital; Economics; Wage; Productivity; Educational attainment; Demographic economics; Work hours; Labour economics; Working hours; Hourly wage; Demography; Population; Sociology; Economic growth","score_opus":0.048155768605273146,"score_gpt":0.28492511152090605,"score_spread":0.2367693429156329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123569178","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":[0.55368966,0.07326046,0.018710453,0.06780409,0.0025018824,0.00003567022,0.0030692373,0.00013648307,0.28079206],"genre_scores_gemma":[0.9672034,0.009939179,0.00099011,0.001928628,0.00080130337,0.000015524754,0.0003044562,0.000023209821,0.018794129],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996111,0.0000890261,0.000013804453,0.00009851096,0.000103301834,0.000084331],"domain_scores_gemma":[0.9991621,0.00021806017,0.00019886384,0.00012408898,0.0001117852,0.0001849961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044960785,0.00022565718,0.00025016244,0.0005129466,0.0005309896,0.0020272965,0.00030060546,0.00066724676,0.005501959],"category_scores_gemma":[0.0024532333,0.00012947222,0.00018879637,0.0011690764,0.0022326866,0.0018967892,0.0009896302,0.0014247098,0.00064656825],"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":[0.00025171958,0.00015103519,0.088663,0.00028823677,0.00013003258,0.00025124516,0.004671852,0.008984138,0.0013707624,0.6357817,0.03980702,0.21964933],"study_design_scores_gemma":[0.000034939603,0.00015900626,0.22296354,0.00065118616,0.00004296558,0.0004998363,0.0026175154,0.0033194297,0.0007541561,0.30307084,0.46580878,0.000077852426],"about_ca_topic_score_codex":0.008434159,"about_ca_topic_score_gemma":0.0065972772,"teacher_disagreement_score":0.008434159,"about_ca_system_score_codex":0.0013955694,"about_ca_system_score_gemma":0.00060997054,"threshold_uncertainty_score":0.018405855},"labels":[],"label_agreement":null},{"id":"W3123573626","doi":"10.3386/w24690","title":"Economic Policy for Artificial Intelligence","year":2018,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":162,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Alfred P. Sloan Foundation","keywords":"Computer science; Artificial intelligence","score_opus":0.47430096441950353,"score_gpt":0.49426391231289873,"score_spread":0.0199629478933952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123573626","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":[0.0037329628,0.036040403,0.018730076,0.42473012,0.0074659176,0.000073102776,0.00043671127,0.00020196069,0.5085887],"genre_scores_gemma":[0.53978705,0.06269649,0.019138917,0.13681544,0.023557244,0.0006633291,0.00073069084,0.000402633,0.21620831],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99766785,0.0010260029,0.00008472822,0.00045532204,0.00055048754,0.00021555643],"domain_scores_gemma":[0.99659204,0.0017894467,0.00026350413,0.0005764941,0.00055504224,0.00022350728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049883225,0.0008707519,0.0008109203,0.0013442815,0.0021962298,0.007751758,0.00082049525,0.007974331,0.025075398],"category_scores_gemma":[0.0120623,0.00025423613,0.0004901439,0.0011710296,0.0072458787,0.0074782725,0.0027937084,0.0096549215,0.0048601567],"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":[0.000006845569,0.00001080089,0.000053366628,0.00002462686,0.000004692921,0.000011197749,0.000030319272,0.00024460966,0.00002716838,0.9759538,0.017557051,0.006075481],"study_design_scores_gemma":[0.000008329538,0.00000929626,0.00011208614,0.00016334245,0.0000033429312,0.00001586958,0.000040445404,0.00035805927,0.000045715053,0.86230314,0.13693462,0.0000058123046],"about_ca_topic_score_codex":0.0025121756,"about_ca_topic_score_gemma":0.0011450388,"teacher_disagreement_score":0.025075398,"about_ca_system_score_codex":0.005258423,"about_ca_system_score_gemma":0.003848051,"threshold_uncertainty_score":0.08388561},"labels":[],"label_agreement":null},{"id":"W3123619939","doi":"","title":"Population Aging and Comparative Advantage","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Comparative advantage; Population ageing; Age structure; Construct (python library); Population; Economics; Demographic economics; Labour economics; Business; International trade; Medicine; Environmental health","score_opus":0.11392630231833151,"score_gpt":0.33661185348675937,"score_spread":0.22268555116842786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123619939","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":[0.8163135,0.018621989,0.010452488,0.006054622,0.00022777366,0.000028721777,0.00093134964,0.00005822156,0.14731133],"genre_scores_gemma":[0.9926911,0.0025218367,0.00083027076,0.00038686255,0.0001885385,0.000009382841,0.00017163188,0.000007222665,0.0031932604],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99963605,0.00007380989,0.00001691938,0.00011076679,0.000061073886,0.00010131096],"domain_scores_gemma":[0.9980216,0.0005849319,0.0007662578,0.00015062964,0.00017603672,0.0003004652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096563954,0.00024999576,0.0003471745,0.0013185744,0.0006707915,0.0012545257,0.00028529318,0.00043920986,0.010465935],"category_scores_gemma":[0.0024533584,0.0000709302,0.00034250546,0.0013530266,0.0012181671,0.0014557685,0.0014302124,0.00050095527,0.00047373035],"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":[0.00018988753,0.0001233959,0.23155282,0.00032411763,0.00030072377,0.000897559,0.0032441006,0.003635459,0.0017741977,0.5984287,0.005978114,0.15355091],"study_design_scores_gemma":[0.000043636755,0.00034742017,0.4989058,0.00019815729,0.00018863732,0.0021148562,0.0024693678,0.0024509013,0.0011971516,0.39441702,0.0976055,0.00006165353],"about_ca_topic_score_codex":0.0015719075,"about_ca_topic_score_gemma":0.0012851408,"teacher_disagreement_score":0.010465935,"about_ca_system_score_codex":0.0005762167,"about_ca_system_score_gemma":0.00031304528,"threshold_uncertainty_score":0.035012066},"labels":[],"label_agreement":null},{"id":"W3123642895","doi":"10.3386/w22736","title":"Market Potential and Global Growth over the Long Twentieth Century","year":2016,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; University of Warwick","keywords":"Business; Economics","score_opus":0.14886818754294054,"score_gpt":0.39663815523428875,"score_spread":0.2477699676913482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123642895","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":[0.9658501,0.0035771742,0.0013897419,0.0021156152,0.00003350901,0.000009542492,0.005506442,0.00003738186,0.021480473],"genre_scores_gemma":[0.9933515,0.00206022,0.00036818747,0.000046195302,0.00005359914,0.000008412886,0.0025394603,0.000012202004,0.0015602808],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990153,0.000013108123,0.00000685769,0.000025983481,0.000025571768,0.000026849146],"domain_scores_gemma":[0.99844414,0.00029394915,0.0008335063,0.000070663475,0.00020268443,0.0001550561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040552064,0.00022642985,0.00017501148,0.0021631515,0.00037804298,0.0011747925,0.00014306424,0.00023425507,0.0034931542],"category_scores_gemma":[0.0027517253,0.000088219254,0.00025462863,0.004185409,0.0005843151,0.0015805652,0.0009273019,0.0005561684,0.00035367708],"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":[0.000117529045,0.000058228223,0.82136667,0.00022802163,0.0001457091,0.0006712444,0.0020541882,0.015133224,0.00079534977,0.075023875,0.009810447,0.07459552],"study_design_scores_gemma":[0.000012685583,0.000041940013,0.93631405,0.000117383184,0.000037312966,0.00024329088,0.00095772475,0.0067060036,0.0004038774,0.020495983,0.034644905,0.000024930192],"about_ca_topic_score_codex":0.009406625,"about_ca_topic_score_gemma":0.011683619,"teacher_disagreement_score":0.009406625,"about_ca_system_score_codex":0.00076513446,"about_ca_system_score_gemma":0.00030474516,"threshold_uncertainty_score":0.018703759},"labels":[],"label_agreement":null},{"id":"W3123670254","doi":"","title":"Investment in Intangible Assets in Canada: R&D, Innovation, Brand, and Mining, Oil and Gas Exploration Expenditures","year":2009,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"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":"Scope (computer science); Investment (military); Quarter (Canadian coin); Intangible asset; Business; Fossil fuel; Work (physics); Resource (disambiguation); Industrial organization; Marketing; Engineering; Finance; Political science; Geography","score_opus":0.032250336734634115,"score_gpt":0.20800548641217376,"score_spread":0.17575514967753963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123670254","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":[0.8458144,0.0055021495,0.0025591862,0.0018660044,0.000040039868,0.00010927251,0.113472216,0.00027919337,0.03035762],"genre_scores_gemma":[0.9232618,0.005013185,0.0025082894,0.00011120094,0.000021090269,0.00005522477,0.044976443,0.00004356403,0.0240091],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881196,0.00003768525,0.00005641258,0.000094372794,0.0007467529,0.00025273784],"domain_scores_gemma":[0.9957729,0.00042911296,0.0010418609,0.00008514079,0.0020828664,0.0005880819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000513149,0.0005699318,0.00053095195,0.005744037,0.0013320817,0.002432737,0.0012051837,0.00040421472,0.0038076362],"category_scores_gemma":[0.0030867264,0.00032206383,0.000732907,0.015921708,0.0005367681,0.0007933469,0.000997046,0.0009890953,0.0005965548],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016642982,0.000121841425,0.8999812,0.00025076,0.0003177875,0.00022396499,0.0008746944,0.015782407,0.00029005733,0.013304474,0.022535423,0.046150867],"study_design_scores_gemma":[0.000018726281,0.000032760097,0.9502867,0.0001066998,0.00015353918,0.000111151036,0.0014607965,0.0105672255,0.000949988,0.0010392057,0.03521608,0.00005711447],"about_ca_topic_score_codex":0.99622935,"about_ca_topic_score_gemma":0.9963888,"teacher_disagreement_score":0.9575242,"about_ca_system_score_codex":0.04247579,"about_ca_system_score_gemma":0.05100241,"threshold_uncertainty_score":0.30818486},"labels":[],"label_agreement":null},{"id":"W3123713972","doi":"","title":"Knowledge spillovers and the geography of innovation","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":360,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economic geography; Knowledge spillover; Production (economics); Function (biology); Dimension (graph theory); Endogenous growth theory; Human capital; Space (punctuation); Urbanization; Technological change; Knowledge production; Spillover effect; Factors of production; Economics; Regional science; Geography; Industrial organization; Knowledge management; Economic growth; Microeconomics; Computer science","score_opus":0.04229096997333873,"score_gpt":0.28284602154991884,"score_spread":0.2405550515765801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123713972","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":[0.22338645,0.049964264,0.08957779,0.020448588,0.00039846744,0.0001131183,0.00062338245,0.00016566551,0.6153223],"genre_scores_gemma":[0.9476498,0.026147911,0.00915548,0.00040858873,0.00027384458,0.00005951855,0.00019621754,0.000018308254,0.016090458],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99946326,0.00018302245,0.000020654237,0.00008379418,0.00013427778,0.00011505329],"domain_scores_gemma":[0.998522,0.0009028987,0.0002239352,0.00010295621,0.00014486347,0.00010341498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061957404,0.00033001366,0.00051513925,0.0023596708,0.0008485921,0.0037177466,0.00038272713,0.0008322472,0.009220341],"category_scores_gemma":[0.0027255113,0.00020840505,0.0006597447,0.002820827,0.0026818414,0.0033806616,0.0026701132,0.00070793746,0.0007970485],"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":[0.000019366847,0.000015712076,0.0027219378,0.00017767062,0.000035364617,0.00017951995,0.0009731695,0.0065419776,0.0002766494,0.959374,0.0013392245,0.028345397],"study_design_scores_gemma":[0.00001307944,0.000036331396,0.008104904,0.00025154377,0.000049163507,0.00027690086,0.0014631586,0.0025634936,0.00024203719,0.92496324,0.062017072,0.00001921611],"about_ca_topic_score_codex":0.0028088535,"about_ca_topic_score_gemma":0.0020568948,"teacher_disagreement_score":0.009220341,"about_ca_system_score_codex":0.0021003745,"about_ca_system_score_gemma":0.0012607955,"threshold_uncertainty_score":0.030845106},"labels":[],"label_agreement":null},{"id":"W3123725887","doi":"","title":"Duration Dependence in US Expansions: A re-examination of the evidence","year":2019,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Recession; Duration (music); Economics; Parametric statistics; Econometrics; Statistics; Keynesian economics; Mathematics; Physics","score_opus":0.0817744087876638,"score_gpt":0.30475412897383897,"score_spread":0.22297972018617518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123725887","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":[0.7176501,0.18041497,0.0108154295,0.023431191,0.0008540069,0.00007303673,0.008918055,0.00015449835,0.057688672],"genre_scores_gemma":[0.95592564,0.033544112,0.0009921277,0.0036041983,0.0011307985,0.000024548157,0.0026369155,0.000093142626,0.0020485267],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968965,0.00073494646,0.0004081132,0.0010732686,0.0006226153,0.00026455367],"domain_scores_gemma":[0.90147877,0.066842586,0.016150534,0.0065661254,0.0067969286,0.0021650027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010785646,0.00039654857,0.00077511324,0.003399385,0.00052578724,0.0016717003,0.0012613342,0.0010234149,0.012612674],"category_scores_gemma":[0.039940808,0.0004021228,0.0017366309,0.005015966,0.0015649266,0.0028934607,0.0028696137,0.004173283,0.0010512092],"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":[0.0011916397,0.0001741939,0.7023039,0.002798574,0.0025565343,0.0008211096,0.0031025403,0.002889096,0.00059287297,0.02048455,0.020309255,0.24277574],"study_design_scores_gemma":[0.00002839778,0.00017059545,0.9524335,0.0015076713,0.0007820704,0.00049669435,0.0015864666,0.0014451384,0.0003513837,0.0056205257,0.03550951,0.00006796978],"about_ca_topic_score_codex":0.030604273,"about_ca_topic_score_gemma":0.022931146,"teacher_disagreement_score":0.030604273,"about_ca_system_score_codex":0.0010202427,"about_ca_system_score_gemma":0.0009361093,"threshold_uncertainty_score":0.06085229},"labels":[],"label_agreement":null},{"id":"W3123751309","doi":"","title":"Trends in Innovation Activities in Manufacturing Industries Across Development Echelons","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Developing country; Per capita; Business; Population; Openness to experience; Economic growth; Economics; Demography","score_opus":0.04254385604291845,"score_gpt":0.26253939224214917,"score_spread":0.21999553619923073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123751309","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":[0.997632,0.00015058691,0.00014876953,0.000035349607,0.0000020935993,0.0000040670834,0.0010349134,0.00000863882,0.0009835705],"genre_scores_gemma":[0.9973163,0.00013051715,0.00013803513,0.0000075407293,0.0000055782857,0.0000061791643,0.0016074245,0.0000024407661,0.00078597525],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995086,0.00006043979,0.00004298086,0.00016076874,0.00010394472,0.00012327847],"domain_scores_gemma":[0.9951403,0.0011440205,0.0023126197,0.0003208359,0.00062003336,0.00046217893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079881825,0.0001477997,0.00023489067,0.0021862981,0.00018500564,0.000882376,0.00025372495,0.00017226824,0.0019561732],"category_scores_gemma":[0.0027706877,0.000117258314,0.0005236379,0.0020874527,0.00019397683,0.000513765,0.0006683949,0.00033888672,0.0004513046],"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":[0.00004187511,0.00001399139,0.9942577,0.000010915996,0.000037216374,0.000032412074,0.00011773727,0.00039775646,0.00035883687,0.00016062876,0.000105227045,0.0044657034],"study_design_scores_gemma":[0.000001174302,0.000041450327,0.99875927,0.000003087263,0.000009096186,0.00003788679,0.00013378542,0.00030809452,0.00020278263,0.000028714487,0.0004721177,0.0000025752204],"about_ca_topic_score_codex":0.0048823697,"about_ca_topic_score_gemma":0.005736632,"teacher_disagreement_score":0.0048823697,"about_ca_system_score_codex":0.00033159525,"about_ca_system_score_gemma":0.00032160972,"threshold_uncertainty_score":0.009707868},"labels":[],"label_agreement":null},{"id":"W3123752650","doi":"","title":"Non-Monotonicity of Fertility in Human Capital Accumulation and Economic Growth","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Fertility; Economics; Human capital; Per capita; Investment (military); Total fertility rate; Population; Physical capital; Labour economics; Demographic economics; Econometrics; Monetary economics; Demography; Economic growth; Research methodology","score_opus":0.0608181549901498,"score_gpt":0.31435022913410554,"score_spread":0.25353207414395573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123752650","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":[0.9669231,0.0019025203,0.01915327,0.0012293668,0.000018537654,0.00003230556,0.0003587693,0.0000646326,0.010317445],"genre_scores_gemma":[0.9961415,0.0008678057,0.0013716375,0.00006575019,0.000018855753,0.000019120076,0.000108083404,0.000008557464,0.0013986091],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99907076,0.00042293125,0.00004463861,0.00016208939,0.00011487076,0.00018459871],"domain_scores_gemma":[0.98193604,0.01325731,0.002965133,0.0008547881,0.0006591733,0.0003275652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024148135,0.00025705667,0.0004593416,0.0007630759,0.0003126668,0.0010478866,0.00041955188,0.00047408204,0.002923739],"category_scores_gemma":[0.020379031,0.00028670943,0.00059594784,0.00094392005,0.0016919167,0.0011481264,0.0010526257,0.0008555117,0.00035453908],"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":[0.00051396916,0.0001715972,0.7176887,0.00044494163,0.00043565,0.0014730186,0.0017557783,0.091069,0.006151087,0.11825735,0.0010120418,0.061026916],"study_design_scores_gemma":[0.000065448345,0.0003862747,0.731528,0.00017351324,0.00023972426,0.0022112844,0.0011689308,0.10080102,0.006602306,0.14979976,0.0069275456,0.00009621118],"about_ca_topic_score_codex":0.0048633907,"about_ca_topic_score_gemma":0.0032054984,"teacher_disagreement_score":0.0048633907,"about_ca_system_score_codex":0.0010754043,"about_ca_system_score_gemma":0.0010173159,"threshold_uncertainty_score":0.012770891},"labels":[],"label_agreement":null},{"id":"W3123764729","doi":"10.1086/430288","title":"Changes in U.S. Wages, 1976–2000: Ongoing Skill Bias or Major Technological Change?","year":2005,"lang":"en","type":"preprint","venue":"Journal of Labor Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Technological change; Human capital; Wage; Economics; Differential (mechanical device); Technical change; Labour economics; Physical capital; Demographic economics; Capital (architecture); Macroeconomics; Productivity; Economic growth; Engineering","score_opus":0.09194925327995977,"score_gpt":0.25306863516632333,"score_spread":0.16111938188636354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123764729","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":[0.9937704,0.0016851845,0.0003318015,0.001214546,0.000032267428,0.000004853428,0.0006204407,0.000010779462,0.002329778],"genre_scores_gemma":[0.99739766,0.00096120324,0.00013657896,0.00013529269,0.00006031508,0.000002495079,0.0006023742,0.0000039372517,0.0007002392],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997762,0.00002245703,0.00002073087,0.000058623325,0.000054097887,0.00006794616],"domain_scores_gemma":[0.9976254,0.00047865097,0.0013500308,0.00010760843,0.00022400846,0.00021422812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007256631,0.00015846734,0.00024630377,0.0010691996,0.0002918385,0.0006997915,0.0002549741,0.00043748308,0.0020083417],"category_scores_gemma":[0.004374949,0.00011457817,0.00021986155,0.0020643931,0.0005300637,0.0005367676,0.00039843997,0.00075803086,0.0004244996],"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":[0.0001267969,0.00006790912,0.96295655,0.000045966175,0.00006227675,0.000098537115,0.00058475224,0.0011327431,0.00053069484,0.001845045,0.0014214583,0.031127226],"study_design_scores_gemma":[0.0000031319764,0.00002244559,0.9975835,0.000016680848,0.000010750939,0.0000253294,0.00019914379,0.00032604916,0.00018032624,0.00036542752,0.0012636976,0.0000034998484],"about_ca_topic_score_codex":0.03851729,"about_ca_topic_score_gemma":0.074230604,"teacher_disagreement_score":0.03851729,"about_ca_system_score_codex":0.0008785843,"about_ca_system_score_gemma":0.0006089604,"threshold_uncertainty_score":0.07658619},"labels":[],"label_agreement":null},{"id":"W3123770481","doi":"","title":"Investment and Long-term Productivity Growth in the Canadian Business Sector, 1961 to 2002","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Productivity; Multifactor productivity; Growth accounting; Economics; Capital deepening; Capital (architecture); Solow residual; Investment (military); Construct (python library); Labour economics; Business sector; Total factor productivity; National accounts; Economy; Capital formation; Human capital; Macroeconomics; Economic growth; Financial capital; Geography","score_opus":0.05853566110851297,"score_gpt":0.2769814484528175,"score_spread":0.21844578734430456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123770481","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":[0.8688346,0.00656902,0.00048693272,0.0036994338,0.00010323471,0.000043074702,0.09410482,0.00011948707,0.02603935],"genre_scores_gemma":[0.94723225,0.0036338742,0.00034442783,0.00011543891,0.00004263052,0.00001816711,0.036775563,0.000017194336,0.011820426],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919087,0.00001996998,0.000031543765,0.00007552947,0.00036436098,0.0003176863],"domain_scores_gemma":[0.99521554,0.00023993921,0.00061688136,0.00010724658,0.003229927,0.0005904671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007141815,0.00042932588,0.00033324191,0.0039701555,0.0016153381,0.0018558882,0.0008382905,0.00041357227,0.0022047919],"category_scores_gemma":[0.004822823,0.00019113674,0.0004294051,0.008327619,0.0005926094,0.0007341663,0.00069085904,0.0010763545,0.00053723616],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030120043,0.00011400705,0.8914056,0.00023969219,0.00017212155,0.00031370917,0.0022930438,0.0061186547,0.0003716792,0.005880034,0.035160962,0.057629257],"study_design_scores_gemma":[0.000006698352,0.000009183772,0.98144376,0.000056912806,0.00002800915,0.000050817172,0.00048747353,0.0014184483,0.00020373875,0.00015086327,0.016126225,0.000017884362],"about_ca_topic_score_codex":0.99577725,"about_ca_topic_score_gemma":0.99712616,"teacher_disagreement_score":0.93817544,"about_ca_system_score_codex":0.061824564,"about_ca_system_score_gemma":0.03037138,"threshold_uncertainty_score":0.44857067},"labels":[],"label_agreement":null},{"id":"W3123835452","doi":"","title":"Another Look at Residual Seasonality in GDP","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Pace; Seasonality; Residual; Slowdown; Economics; Seasonal adjustment; Agricultural economics; Econometrics; Geography; Statistics; Mathematics; Economic growth; Geodesy","score_opus":0.07883000815870392,"score_gpt":0.3076156137455544,"score_spread":0.2287856055868505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123835452","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":[0.7877412,0.007486245,0.030355247,0.05775402,0.0018759285,0.000055674234,0.01298181,0.00079657946,0.10095327],"genre_scores_gemma":[0.98107016,0.0014151902,0.0019376368,0.002501968,0.0005718016,0.000011206249,0.0033899134,0.00025554534,0.008846665],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994628,0.00007691231,0.000031917276,0.00014961288,0.00014246076,0.00013622732],"domain_scores_gemma":[0.99670345,0.0009517146,0.0006938651,0.00046232494,0.0009304567,0.00025822184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010761726,0.00021213056,0.00038359407,0.0011749341,0.0004568534,0.0014766087,0.00044590092,0.00062554516,0.0070187147],"category_scores_gemma":[0.007459104,0.00011912487,0.00056537346,0.0023005854,0.0006255285,0.0014226753,0.00068370695,0.0020047678,0.00064004486],"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":[0.0006307805,0.0002635444,0.5328588,0.00045638953,0.0007472217,0.0014382446,0.003902138,0.010845604,0.0065382235,0.18364269,0.122629076,0.13604736],"study_design_scores_gemma":[0.00004771235,0.00025850566,0.74656147,0.00028404818,0.00020864616,0.0005895873,0.0031776018,0.020120373,0.0019319532,0.09064869,0.13606074,0.000110563175],"about_ca_topic_score_codex":0.02880022,"about_ca_topic_score_gemma":0.028717684,"teacher_disagreement_score":0.02880022,"about_ca_system_score_codex":0.00076841266,"about_ca_system_score_gemma":0.0005905685,"threshold_uncertainty_score":0.057265162},"labels":[],"label_agreement":null},{"id":"W3123886098","doi":"10.3386/w23422","title":"The Causes and Costs of Misallocation","year":2017,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Productivity; Economics; Context (archaeology); Production (economics); Frontier; Perspective (graphical); Public economics; Macroeconomics","score_opus":0.35219722785641844,"score_gpt":0.4557693134273096,"score_spread":0.10357208557089115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123886098","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":[0.7643436,0.029688803,0.046366256,0.054637592,0.0006564275,0.00015994435,0.0024768237,0.00029747418,0.101373054],"genre_scores_gemma":[0.9877439,0.0037009637,0.0037869161,0.0011191904,0.00028680864,0.00007536318,0.00023487039,0.00007167734,0.0029802315],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99184376,0.0034771673,0.0006485912,0.0012267885,0.001778918,0.001024689],"domain_scores_gemma":[0.9664482,0.015793895,0.007514519,0.0053647947,0.0040683406,0.00081022823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005638408,0.00054483634,0.0011210686,0.0038471993,0.0009971757,0.004144537,0.0010112942,0.0013107549,0.008017036],"category_scores_gemma":[0.038221005,0.000573878,0.0008722471,0.0054493085,0.004431217,0.006249113,0.0040886775,0.0015734177,0.000810852],"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":[0.0004110806,0.00015712515,0.21456157,0.0011228462,0.0009596215,0.0012213199,0.005239855,0.027306432,0.00074862014,0.5064974,0.011963806,0.22981045],"study_design_scores_gemma":[0.000079384394,0.00007951411,0.23745866,0.00077482586,0.000229336,0.0008485028,0.0066382475,0.005763552,0.0013143274,0.7002978,0.046380043,0.00013580233],"about_ca_topic_score_codex":0.00569108,"about_ca_topic_score_gemma":0.003736446,"teacher_disagreement_score":0.008017036,"about_ca_system_score_codex":0.0038547115,"about_ca_system_score_gemma":0.0016048988,"threshold_uncertainty_score":0.029819071},"labels":[],"label_agreement":null},{"id":"W3123898352","doi":"","title":"Evaluating Explanations for Stagnation","year":2005,"lang":"en","type":"article","venue":"Development and Comp Systems","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Economic stagnation; Counterfactual thinking; Economics; Prosperity; Optimism; Context (archaeology); Macroeconomics; Economic growth; Political science; Geography; Politics; Psychology","score_opus":0.14840111405565914,"score_gpt":0.2825941323024843,"score_spread":0.13419301824682517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123898352","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":[0.73341966,0.008952565,0.15700062,0.03597992,0.000517666,0.00038880284,0.0015282896,0.0011740567,0.06103854],"genre_scores_gemma":[0.9912581,0.0009827793,0.0060086376,0.00070700643,0.0000697727,0.000088081855,0.00029194544,0.000058254598,0.00053551595],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99376476,0.0037462227,0.00032171022,0.0007466894,0.0008639227,0.000556633],"domain_scores_gemma":[0.91672355,0.06206214,0.010790254,0.005228137,0.004111548,0.0010843572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019887868,0.0010444969,0.001320159,0.0034627062,0.0014565623,0.004456172,0.0025083858,0.0028179113,0.008507649],"category_scores_gemma":[0.10480256,0.0005506392,0.0012464207,0.0034073163,0.0049589877,0.0061329454,0.0040898523,0.0021272716,0.00034719417],"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":[0.0005762712,0.00018942505,0.07573685,0.0010100235,0.00050045823,0.0012098802,0.0040797996,0.13670109,0.0005242367,0.7248325,0.0054489984,0.049190577],"study_design_scores_gemma":[0.00018680336,0.0002448569,0.020113658,0.0004938478,0.00022384145,0.00033737734,0.004753137,0.12804359,0.0012268559,0.82527035,0.018934844,0.00017092822],"about_ca_topic_score_codex":0.003171965,"about_ca_topic_score_gemma":0.0020100225,"teacher_disagreement_score":0.019887868,"about_ca_system_score_codex":0.0056819995,"about_ca_system_score_gemma":0.0029885392,"threshold_uncertainty_score":0.105178356},"labels":[],"label_agreement":null},{"id":"W3123898656","doi":"10.1111/1468-0351.00050","title":"From Inflation to Growth","year":2000,"lang":"en","type":"article","venue":"Economics of Transition","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Disinflation; Economics; Inflation (cosmology); Monetary economics; Exchange rate; Keynesian economics; Monetary policy; Macroeconomics","score_opus":0.014793493490467028,"score_gpt":0.18037032393608612,"score_spread":0.1655768304456191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123898656","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":[0.7798129,0.028858962,0.017076358,0.048609614,0.0006517189,0.00004559891,0.0058876323,0.00027586674,0.118781395],"genre_scores_gemma":[0.9897205,0.00495236,0.0007223168,0.0006950194,0.00021682518,0.000014489025,0.00072592683,0.000027530286,0.0029249927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995521,0.00014296484,0.000023571018,0.000105001884,0.000074922114,0.000101439335],"domain_scores_gemma":[0.997851,0.0009930284,0.0006836021,0.00009288086,0.00023240875,0.000146993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056183554,0.00023920287,0.0003154291,0.0010810364,0.00031329342,0.0019446773,0.00017259542,0.0004555041,0.004781458],"category_scores_gemma":[0.0062548453,0.0001245816,0.0002706409,0.0022437975,0.0008166887,0.0015747083,0.0012539828,0.0023494957,0.00070540124],"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":[0.00072050875,0.00014931895,0.45116857,0.00062841765,0.00023799509,0.00076792506,0.0041200714,0.014946135,0.0008617237,0.26037633,0.037053403,0.22896954],"study_design_scores_gemma":[0.00007848676,0.00038166766,0.54676825,0.0009800171,0.00016661854,0.0006860897,0.0051295287,0.014045504,0.0020340346,0.28889254,0.14076428,0.0000729325],"about_ca_topic_score_codex":0.0048760907,"about_ca_topic_score_gemma":0.0026820595,"teacher_disagreement_score":0.0048760907,"about_ca_system_score_codex":0.00085969607,"about_ca_system_score_gemma":0.00045006326,"threshold_uncertainty_score":0.015995562},"labels":[],"label_agreement":null},{"id":"W3123898811","doi":"10.2139/ssrn.1631078","title":"North-South Trade-Related Technology Diffusion: Virtuous Growth Cycles in Latin America","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"Carleton University","funders":"","keywords":"Latin Americans; Diffusion; Virtuous circle and vicious circle; Geography; Economic geography; International trade; Economics; Political science; Macroeconomics; Thermodynamics; Physics","score_opus":0.006507852500510404,"score_gpt":0.17789794558964284,"score_spread":0.17139009308913244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123898811","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":[0.98047936,0.00097605604,0.00064302864,0.0031766845,0.000010775776,0.000007198843,0.00022166607,0.000027279191,0.01445796],"genre_scores_gemma":[0.9981609,0.00040862185,0.00015474051,0.00008975427,0.0000111494355,0.0000036989488,0.00008002232,0.0000067969036,0.0010842648],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990535,0.000020401165,0.0000056481626,0.000026016658,0.000010272144,0.00003238057],"domain_scores_gemma":[0.99909925,0.00033412452,0.000277985,0.00005882739,0.000119551405,0.00011021914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058321515,0.00014610228,0.00025866996,0.0009554078,0.0005530938,0.0021229621,0.0002782524,0.00070035964,0.003923957],"category_scores_gemma":[0.0026229688,0.00012222225,0.00031698495,0.0016813091,0.0009428168,0.0017488295,0.0010296867,0.0005468425,0.00018370082],"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":[0.00070829823,0.0001746452,0.6544951,0.0003268464,0.00024531875,0.0011868724,0.009604251,0.014222967,0.006608631,0.23153968,0.005205444,0.075681955],"study_design_scores_gemma":[0.00007889903,0.000057526693,0.9016141,0.000112254434,0.00010573394,0.00028214115,0.008392205,0.012872521,0.0011250742,0.058132257,0.017187756,0.000039377555],"about_ca_topic_score_codex":0.029105386,"about_ca_topic_score_gemma":0.03030195,"teacher_disagreement_score":0.029105386,"about_ca_system_score_codex":0.0017679493,"about_ca_system_score_gemma":0.0009132687,"threshold_uncertainty_score":0.057871938},"labels":[],"label_agreement":null},{"id":"W3123943089","doi":"","title":"Economic Policy for Artificial Intelligence","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Salient; Subsidy; Economics; Competition (biology); Technological change; Competition policy; Industrial organization; Microeconomics; Public economics; Monopoly; Artificial intelligence; Computer science; Macroeconomics; Market economy","score_opus":0.03244953339664765,"score_gpt":0.2609990737958596,"score_spread":0.228549540399212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123943089","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":[0.003626854,0.03787397,0.014746748,0.44365078,0.0068622553,0.00006687761,0.00029197615,0.00014597693,0.49273452],"genre_scores_gemma":[0.53110874,0.054506328,0.014302218,0.18076178,0.02050062,0.00061215257,0.00047833272,0.00027905824,0.19745082],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974412,0.0010990633,0.000093758645,0.00049642095,0.0005998422,0.00026962976],"domain_scores_gemma":[0.9967614,0.0016358531,0.00026027838,0.00052331795,0.00057464576,0.00024460215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054463167,0.000797238,0.0007359788,0.0013124051,0.0020761953,0.007114005,0.0008787715,0.008485215,0.01843415],"category_scores_gemma":[0.011113248,0.00023083354,0.0004938137,0.0009906694,0.008159876,0.007205335,0.0028825938,0.00977832,0.0034485564],"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":[0.000007337682,0.000010365351,0.00004713586,0.00002364825,0.0000042153765,0.000010596324,0.000029055158,0.0002466219,0.000028677574,0.9803042,0.014100892,0.0051871757],"study_design_scores_gemma":[0.0000094272,0.000013002244,0.00012982909,0.00019393278,0.0000035199403,0.00001783034,0.00005303941,0.0003929542,0.000052760326,0.8371197,0.16200687,0.000007203367],"about_ca_topic_score_codex":0.002864327,"about_ca_topic_score_gemma":0.0014647286,"teacher_disagreement_score":0.01843415,"about_ca_system_score_codex":0.005930743,"about_ca_system_score_gemma":0.0045505743,"threshold_uncertainty_score":0.061668336},"labels":[],"label_agreement":null},{"id":"W3123961708","doi":"","title":"Missed Opportunities: Innovation and Resource-Based Growth in Latin America","year":2002,"lang":"en","type":"article","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Economic Growth and Productivity","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":"Economic rent; Latin Americans; Industrialisation; Monopoly; Investment (military); Economics; Resource (disambiguation); Natural resource; Technological change; Business; Product (mathematics); Human capital; International trade; Economic growth; Development economics; Economic system; Market economy; Political science; Macroeconomics","score_opus":0.14032657064733414,"score_gpt":0.3237179992213298,"score_spread":0.18339142857399568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123961708","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":[0.8806786,0.005752735,0.0009235915,0.018565236,0.000040984105,0.000015290154,0.00030131772,0.000019370822,0.093703],"genre_scores_gemma":[0.9953874,0.0016784141,0.00018457617,0.00017820194,0.000025295074,0.000011245043,0.0000823075,0.00000526607,0.0024473893],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99945,0.00014652048,0.00002101003,0.00005975015,0.0000641453,0.0002586286],"domain_scores_gemma":[0.9982331,0.0006392758,0.0005050278,0.00006530247,0.0002379577,0.0003192883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012451487,0.0001784902,0.0002898799,0.001466249,0.0011538793,0.0035431583,0.00039841543,0.000739321,0.0046715545],"category_scores_gemma":[0.0044168304,0.00009687474,0.00026848106,0.0029979697,0.002097606,0.0033652068,0.0026703277,0.00091868534,0.00018393727],"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":[0.00035855584,0.00022241104,0.41842836,0.00041037358,0.000100090845,0.0033759938,0.01735741,0.008129927,0.00096763513,0.43327546,0.007728276,0.10964552],"study_design_scores_gemma":[0.000103464125,0.00012808871,0.56676865,0.00076543825,0.0000902567,0.0011290312,0.05841584,0.009249107,0.0007508485,0.24922013,0.1133,0.0000791807],"about_ca_topic_score_codex":0.033554386,"about_ca_topic_score_gemma":0.036849525,"teacher_disagreement_score":0.033554386,"about_ca_system_score_codex":0.0036386757,"about_ca_system_score_gemma":0.0017107014,"threshold_uncertainty_score":0.06671816},"labels":[],"label_agreement":null},{"id":"W3124038795","doi":"","title":"Les sources industrielles des baisses de rendement de la productivite du travail au Canada et le role de l?ajustement structurel dans les annees 1990 et 2000","year":2016,"lang":"fr","type":"article","venue":"Direction des etudes analytiques : documents de recherche","topic":"Economic Growth and Productivity","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":"Political science; Humanities; Philosophy","score_opus":0.07763561329137769,"score_gpt":0.3128746483249149,"score_spread":0.2352390350335372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124038795","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":[0.8437745,0.012242289,0.0062897615,0.0048146374,0.00013118981,0.00009888514,0.08948429,0.0003509424,0.042813543],"genre_scores_gemma":[0.9228669,0.0082285525,0.0037910638,0.00028488607,0.00006617829,0.00006402064,0.03178603,0.00016262455,0.03274971],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857116,0.00009861827,0.00007949094,0.0002329614,0.00069026754,0.00032745287],"domain_scores_gemma":[0.98971355,0.002246311,0.0020082965,0.00047868793,0.0048958077,0.00065730204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013653712,0.0005617306,0.0004849873,0.008257153,0.0015400713,0.003957933,0.00067406107,0.0003819371,0.0049920226],"category_scores_gemma":[0.0068936,0.00041200028,0.00081800687,0.015681075,0.0008684489,0.00093304744,0.0011677576,0.0008787199,0.0007016025],"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":[0.0002138064,0.000032106993,0.87982535,0.00046293435,0.0005341493,0.00033808523,0.0077737067,0.0023374893,0.0012056095,0.012097961,0.01096879,0.08420993],"study_design_scores_gemma":[0.0000059740346,0.000009098116,0.96483016,0.00023343597,0.000103441474,0.000059359078,0.0025844306,0.0010152004,0.00064342184,0.0006141644,0.02987039,0.000030886444],"about_ca_topic_score_codex":0.9812228,"about_ca_topic_score_gemma":0.9850868,"teacher_disagreement_score":0.018777192,"about_ca_system_score_codex":0.0146114,"about_ca_system_score_gemma":0.033438724,"threshold_uncertainty_score":0.106013656},"labels":[],"label_agreement":null},{"id":"W3124069289","doi":"","title":"Productivity trends from 1890 to 2012 in advanced countries","year":2014,"lang":"en","type":"article","venue":"Lyon Meeting","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"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":"Productivity; LEAPS; Convergence (economics); Economics; World War II; Development economics; Political science; Economic growth; Finance","score_opus":0.01610504630935531,"score_gpt":0.21071086048864576,"score_spread":0.19460581417929046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124069289","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":[0.93131113,0.007592417,0.0016680981,0.0011732832,0.00019047744,0.000029639383,0.034656595,0.00021910942,0.023159135],"genre_scores_gemma":[0.9674519,0.0049335067,0.00081944675,0.0001189936,0.00023566373,0.000049100683,0.020493716,0.000046163495,0.005851618],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992816,0.000060832655,0.0000895885,0.00016518298,0.0001434125,0.00025939368],"domain_scores_gemma":[0.9966185,0.0004132452,0.0013621561,0.00015308472,0.0011170509,0.00033602235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000913811,0.0005267911,0.00048813716,0.007690711,0.00038175,0.0021988237,0.00031665483,0.00045836618,0.0037657286],"category_scores_gemma":[0.0049522086,0.00016370756,0.00069311017,0.012543136,0.00040163033,0.0014881819,0.0010410526,0.000763089,0.0020527793],"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":[0.0005208388,0.000096337804,0.8369704,0.00091299356,0.00031201052,0.0005574454,0.004495264,0.0067790938,0.0015035323,0.010417655,0.017186774,0.12024758],"study_design_scores_gemma":[0.000007919659,0.000092850474,0.96116984,0.00012650841,0.000038584178,0.00022338424,0.00091035693,0.00062476634,0.0004120704,0.00042047878,0.03594861,0.000024714556],"about_ca_topic_score_codex":0.010383682,"about_ca_topic_score_gemma":0.0053675002,"teacher_disagreement_score":0.010383682,"about_ca_system_score_codex":0.00113036,"about_ca_system_score_gemma":0.00062627834,"threshold_uncertainty_score":0.020646513},"labels":[],"label_agreement":null},{"id":"W3124078023","doi":"10.1016/j.jmoneco.2006.07.008","title":"Tracking the new economy: Using growth theory to detect changes in trend productivity","year":2006,"lang":"en","type":"preprint","venue":"Journal of Monetary Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":15,"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":"Strong","keywords":"Productivity; Economics; Consumption (sociology); Growth theory; Econometrics; Total factor productivity; Quarter (Canadian coin); Macroeconomics; Keynesian economics; Geography","score_opus":0.04792782102693349,"score_gpt":0.2221625436745417,"score_spread":0.1742347226476082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124078023","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":[0.8323426,0.001261185,0.15979274,0.00091924745,0.00014740339,0.0000599284,0.0014116468,0.00069828326,0.0033668745],"genre_scores_gemma":[0.9636297,0.00059497653,0.034086324,0.00004795015,0.00010783373,0.000026929627,0.0007583195,0.00006648819,0.000681471],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959236,0.00014748042,0.000023648885,0.000107581895,0.000091512964,0.000037519396],"domain_scores_gemma":[0.99657214,0.0020929764,0.0005738596,0.00027082502,0.000353775,0.00013646201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019792542,0.0006251104,0.0007598038,0.0036223168,0.00026662782,0.0017757914,0.0006242132,0.0011971918,0.0009704497],"category_scores_gemma":[0.011311408,0.00036181882,0.0004350699,0.00305343,0.00042150295,0.001575752,0.0007041349,0.0009234423,0.00036538948],"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":[0.00097277487,0.00046487935,0.34616524,0.00026790422,0.0007384393,0.00041585014,0.00043331398,0.20655699,0.016589358,0.019537518,0.005967391,0.40189034],"study_design_scores_gemma":[0.00005269381,0.00008551108,0.05411902,0.000021786067,0.00009003116,0.00014564484,0.00010755802,0.9224623,0.0032173933,0.018688777,0.0009732049,0.000036116555],"about_ca_topic_score_codex":0.0024782303,"about_ca_topic_score_gemma":0.001728616,"teacher_disagreement_score":0.0036223168,"about_ca_system_score_codex":0.0003487934,"about_ca_system_score_gemma":0.0002919618,"threshold_uncertainty_score":0.01046741},"labels":[],"label_agreement":null},{"id":"W3124171105","doi":"","title":"Houshold Aggregate Wealth In The Main OECD Countries From 1980 To 2011: What Do The Data Tell Us?","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Household debt; Economics; Debt; Convergence (economics); Financial crisis; National wealth; Aggregate (composite); Interpretation (philosophy); Macroeconomics; Finance","score_opus":0.0687901058721804,"score_gpt":0.29399480399697225,"score_spread":0.22520469812479185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124171105","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":[0.71005905,0.008742775,0.0005689387,0.0015884094,0.000114277,0.00003131993,0.25115457,0.00013326689,0.027607342],"genre_scores_gemma":[0.82075334,0.0067382613,0.00064525416,0.00027763552,0.00015323237,0.000067831286,0.16407312,0.000029698873,0.007261623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997062,0.000030347917,0.000025150719,0.000043617812,0.00010369386,0.000090956404],"domain_scores_gemma":[0.9984091,0.00023112749,0.0006208891,0.00010799081,0.00046506306,0.00016592015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006074738,0.000306591,0.00036420274,0.004539694,0.0003706183,0.0015747194,0.00024325952,0.00034602048,0.0017936478],"category_scores_gemma":[0.0020264564,0.00010444145,0.00036263882,0.007509014,0.00031885202,0.00093804224,0.0008630587,0.0004319334,0.00081285794],"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":[0.0001541286,0.00003369284,0.9034422,0.00021957546,0.0002643269,0.00041819023,0.00086943596,0.0037249469,0.00010199645,0.002597334,0.04884218,0.039332002],"study_design_scores_gemma":[0.00000754726,0.00002040514,0.95773757,0.00011582634,0.000050743438,0.00011291955,0.001211714,0.00045815713,0.0001835636,0.0004474607,0.039636265,0.000017887882],"about_ca_topic_score_codex":0.26019913,"about_ca_topic_score_gemma":0.36906785,"teacher_disagreement_score":0.26019913,"about_ca_system_score_codex":0.0017060142,"about_ca_system_score_gemma":0.0011249611,"threshold_uncertainty_score":0.5173692},"labels":[],"label_agreement":null},{"id":"W3124206370","doi":"10.3386/w12394","title":"Big Business Stability and Economic Growth: Is What's Good for General Motors Good for America?","year":2006,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Canadian Institute for Advanced Research","funders":"Social Sciences and Humanities Research Council of Canada; University of Alberta","keywords":"General motors; Stability (learning theory); Economics; Industrial organization; Computer science","score_opus":0.2579383041055763,"score_gpt":0.39800191519549305,"score_spread":0.14006361108991677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124206370","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21826477,0.057531856,0.0014124993,0.6436085,0.0013873591,0.000021307671,0.00081340986,0.000089033274,0.07687125],"genre_scores_gemma":[0.96641827,0.014824135,0.00035791946,0.0097174235,0.00213567,0.00001175228,0.00032629148,0.000032029475,0.0061765225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999534,0.00013594917,0.000017652008,0.00007881246,0.00012420776,0.00010946327],"domain_scores_gemma":[0.99279636,0.0019683582,0.0018309535,0.00021200848,0.0013372458,0.0018550077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011136513,0.00025620518,0.00041691656,0.0013036988,0.0015268516,0.0056038075,0.00029457072,0.0013132672,0.010969795],"category_scores_gemma":[0.010089967,0.000101343096,0.00021526137,0.0038762859,0.0035133108,0.006752949,0.00109586,0.0019414455,0.000895637],"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":[0.00041231318,0.00019029083,0.31750673,0.00053586153,0.00020000417,0.00020998852,0.0041772714,0.0012065661,0.00028194702,0.23570429,0.24472617,0.19484857],"study_design_scores_gemma":[0.000066842746,0.00010234768,0.4121768,0.0014859164,0.0001976142,0.00016903433,0.015074374,0.001900208,0.00047925935,0.39163175,0.17662582,0.0000900439],"about_ca_topic_score_codex":0.02253757,"about_ca_topic_score_gemma":0.023769679,"teacher_disagreement_score":0.02253757,"about_ca_system_score_codex":0.003132905,"about_ca_system_score_gemma":0.0020205816,"threshold_uncertainty_score":0.04481274},"labels":[],"label_agreement":null},{"id":"W3124228992","doi":"10.3386/w13011","title":"Creative Destruction and Firm-Specific Performance Heterogeneity","year":2007,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Business; Creative destruction; Economics; Market economy","score_opus":0.416202982355909,"score_gpt":0.44943159388666915,"score_spread":0.03322861153076012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124228992","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":[0.9882129,0.00041171446,0.0006385683,0.00035633383,0.000005547567,0.000018812407,0.00024005817,0.000015515861,0.010100617],"genre_scores_gemma":[0.99914336,0.00005705964,0.00004774505,0.000022741171,0.00001368443,0.0000031438458,0.00012174138,0.0000015871364,0.0005888169],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990902,0.00012597696,0.00008822414,0.00014174375,0.0002521112,0.00030169357],"domain_scores_gemma":[0.9722916,0.008385298,0.014161875,0.002127093,0.0008157434,0.0022184423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015258902,0.00023108062,0.00028908782,0.0020900567,0.00062318216,0.002606208,0.00037794313,0.0004911361,0.004060909],"category_scores_gemma":[0.011026927,0.00016217673,0.00032069764,0.0018003134,0.0011868932,0.0012403269,0.0018096027,0.0010136884,0.00040783957],"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":[0.00027823276,0.00032656,0.9592507,0.000035804667,0.00014155646,0.0003573748,0.0005033609,0.0037342764,0.0010377631,0.00889835,0.0011375125,0.024298491],"study_design_scores_gemma":[0.000026628919,0.00011650428,0.9843738,0.000019459369,0.00003973809,0.00026091974,0.00053183426,0.0022635984,0.00082588935,0.010270843,0.0012502238,0.000020587166],"about_ca_topic_score_codex":0.0029145025,"about_ca_topic_score_gemma":0.002964269,"teacher_disagreement_score":0.004060909,"about_ca_system_score_codex":0.0010118406,"about_ca_system_score_gemma":0.0005233363,"threshold_uncertainty_score":0.013585031},"labels":[],"label_agreement":null},{"id":"W3124242234","doi":"","title":"Regime Switches in GDP Growth and Volatility: Some International Evidence and Implications for Modelling Business Cycles","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":12,"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":"Recession; Volatility (finance); Economics; Real gross domestic product; Econometrics; Business cycle; Structural break; Variance (accounting); Univariate; Monetary economics; Macroeconomics; Statistics; Mathematics; Multivariate statistics","score_opus":0.12567512594286617,"score_gpt":0.31037931628624554,"score_spread":0.18470419034337937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124242234","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":[0.88227385,0.03073512,0.032264847,0.008332943,0.00011066655,0.000040316616,0.0012264604,0.00029783937,0.04471795],"genre_scores_gemma":[0.9851704,0.009660011,0.0037304866,0.00019805768,0.0001140594,0.000014334135,0.0006266293,0.000048527098,0.00043751908],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987331,0.00064379966,0.00014059713,0.00023239513,0.00017327566,0.000076813434],"domain_scores_gemma":[0.98225385,0.014187273,0.0017366917,0.0013116401,0.0003707013,0.00013977877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054251086,0.00048496004,0.0008446408,0.0027613228,0.0005144285,0.002863713,0.0009481158,0.0013032393,0.002148111],"category_scores_gemma":[0.02388377,0.00042604335,0.0012705087,0.0075324224,0.0020813043,0.0026521361,0.0015217172,0.0018660838,0.0002623286],"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":[0.0005408889,0.00022947542,0.4803837,0.00084716646,0.0010846606,0.00076407887,0.0028484436,0.16259673,0.0014277208,0.1685753,0.0041310405,0.17657082],"study_design_scores_gemma":[0.000112021364,0.0002128498,0.3596421,0.0012447982,0.00063142355,0.00079866766,0.0019200675,0.33672735,0.001945719,0.26988485,0.026642159,0.00023804768],"about_ca_topic_score_codex":0.007491092,"about_ca_topic_score_gemma":0.005646418,"teacher_disagreement_score":0.007491092,"about_ca_system_score_codex":0.0010542254,"about_ca_system_score_gemma":0.00034930304,"threshold_uncertainty_score":0.028691053},"labels":[],"label_agreement":null},{"id":"W3124255876","doi":"","title":"Misallocation and Aggregate Productivity across Time and Space","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Productivity; Economics; Total factor productivity; Per capita income; Production (economics); Per capita; Aggregate income; Aggregate (composite); Developing country; Demographic economics; Labour economics; Macroeconomics; Economic growth; Income distribution; Population; Inequality","score_opus":0.03746899691826381,"score_gpt":0.2887213760761306,"score_spread":0.25125237915786675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124255876","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":[0.8990856,0.00474795,0.067975186,0.004350331,0.00024657234,0.00003674017,0.0023098926,0.00029271055,0.020954935],"genre_scores_gemma":[0.9899158,0.0013441049,0.002911721,0.00012026258,0.00012150545,0.000034403536,0.0004342218,0.00005916166,0.005058705],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99800116,0.0004970333,0.00022721708,0.0005564431,0.000351712,0.0003664981],"domain_scores_gemma":[0.9862335,0.004938645,0.0048384257,0.0024924972,0.0010034599,0.000493585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002612814,0.0005001649,0.0009037266,0.0019525124,0.00068678474,0.0048143286,0.0007392245,0.00094580016,0.006585035],"category_scores_gemma":[0.019536996,0.00037042703,0.0009530017,0.00552889,0.0024750507,0.005445785,0.0032858022,0.000853985,0.0014859112],"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":[0.00066295126,0.00012377418,0.4410583,0.00036711045,0.0010439893,0.0010670618,0.006774648,0.11640845,0.003472967,0.28124553,0.006240851,0.14153448],"study_design_scores_gemma":[0.00004125846,0.00015431891,0.34703237,0.00015128334,0.0002762429,0.00075066794,0.0042726276,0.037836887,0.0022609604,0.5859823,0.021118399,0.00012262764],"about_ca_topic_score_codex":0.0036220984,"about_ca_topic_score_gemma":0.0022804737,"teacher_disagreement_score":0.006585035,"about_ca_system_score_codex":0.0020143287,"about_ca_system_score_gemma":0.0007319835,"threshold_uncertainty_score":0.022029102},"labels":[],"label_agreement":null},{"id":"W3124265856","doi":"","title":"Total Factor Productivity and the Measurement of Technological Change","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Total factor productivity; Counterfactual thinking; Technological change; Economics; Econometrics; Technical change; Productivity; Imperfect; Macroeconomics","score_opus":0.03967913521480781,"score_gpt":0.20208994124428784,"score_spread":0.16241080602948002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124265856","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":[0.39864045,0.03670114,0.35949025,0.0037746688,0.0009957484,0.00019817255,0.011719676,0.00080225366,0.18767764],"genre_scores_gemma":[0.9416005,0.009731108,0.037956603,0.00016836872,0.00046535468,0.00015889756,0.001869517,0.00007532989,0.007974289],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9963569,0.0010792065,0.00032801364,0.0008566166,0.0011785427,0.0002006892],"domain_scores_gemma":[0.9907521,0.004576123,0.0020582364,0.001392432,0.0010070717,0.00021396914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030616433,0.0007747953,0.00067256566,0.0059865187,0.00033249237,0.0030719377,0.00079319417,0.000995661,0.0061696027],"category_scores_gemma":[0.02036225,0.00025714052,0.0006969529,0.014566504,0.0024481367,0.004397041,0.0014430988,0.0008906688,0.0014350195],"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":[0.00038735304,0.000106863255,0.07866038,0.0017423251,0.00063663226,0.00034294053,0.0025452592,0.029488543,0.0070565073,0.52834606,0.0080525465,0.3426345],"study_design_scores_gemma":[0.000042061845,0.00047046223,0.16999514,0.00057630637,0.00028251202,0.0011193005,0.0014742669,0.024071539,0.007601788,0.6987345,0.09544455,0.00018750405],"about_ca_topic_score_codex":0.003138308,"about_ca_topic_score_gemma":0.0014923114,"teacher_disagreement_score":0.0061696027,"about_ca_system_score_codex":0.0016971139,"about_ca_system_score_gemma":0.00066053873,"threshold_uncertainty_score":0.02063942},"labels":[],"label_agreement":null},{"id":"W3124276384","doi":"","title":"The Evolution of Education: A Macroeconomic Analysis","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Educational attainment; Human capital; Life expectancy; Economics; Distribution (mathematics); Demographic economics; Population; Technological change; Economic growth; Demography; Sociology; Macroeconomics","score_opus":0.032695365121574275,"score_gpt":0.2859493323042799,"score_spread":0.2532539671827056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124276384","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":[0.86846745,0.012985754,0.016668856,0.024002524,0.0003271191,0.00015157377,0.010113875,0.00032023666,0.06696263],"genre_scores_gemma":[0.9872866,0.0037550512,0.0010877171,0.00036608957,0.00023366048,0.00004422325,0.0018126232,0.000034338907,0.0053797807],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997397,0.00006371042,0.000014658302,0.00006689044,0.000047702204,0.000067371875],"domain_scores_gemma":[0.9992155,0.0002885524,0.0002457686,0.000040688938,0.0000854648,0.00012411526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008390572,0.00035684934,0.00058657135,0.001318091,0.0006052361,0.0029959094,0.00032345037,0.00155028,0.0040500276],"category_scores_gemma":[0.0027377857,0.00034750148,0.00087015267,0.0021500222,0.0005227552,0.001606934,0.0008912715,0.0014292077,0.0006149682],"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":[0.00039528965,0.00035233313,0.28686723,0.00033757108,0.00038688898,0.0013970939,0.00071701367,0.29117128,0.0016028006,0.33892453,0.037089583,0.04075838],"study_design_scores_gemma":[0.00013629199,0.00023167393,0.34829625,0.00025099638,0.00026971934,0.0003007449,0.00076050515,0.51124614,0.00054151326,0.0955504,0.042286728,0.00012901821],"about_ca_topic_score_codex":0.020178944,"about_ca_topic_score_gemma":0.010747196,"teacher_disagreement_score":0.020178944,"about_ca_system_score_codex":0.002474753,"about_ca_system_score_gemma":0.00069277507,"threshold_uncertainty_score":0.040122986},"labels":[],"label_agreement":null},{"id":"W3124298478","doi":"","title":"The Relationship between Population Growth and Standard-of-Living Growth Over 1870-2013: Evidence from a Bootstrapped Panel Granger Causality Test","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Granger causality; Causality (physics); Economics; Dependency ratio; Econometrics; Population; Panel data; Standard of living; Population growth; Test (biology); Demographic economics; Demography; Biology","score_opus":0.1292707972801967,"score_gpt":0.32147234829420884,"score_spread":0.19220155101401215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124298478","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":[0.9924663,0.00035090034,0.0018613355,0.0002599246,0.000029262857,0.0000070345345,0.0026498896,0.00003188858,0.0023435485],"genre_scores_gemma":[0.996274,0.00016035073,0.00031133188,0.000029363897,0.00001713155,0.0000077542945,0.0030022368,0.000008102967,0.00018979752],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988135,0.00058215193,0.0000739958,0.00022193608,0.00016406669,0.00014439176],"domain_scores_gemma":[0.9745728,0.015464748,0.0053686113,0.0018961255,0.0019603695,0.0007373482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037089686,0.0002677926,0.00043417068,0.0015870096,0.00031745888,0.0006825179,0.0005244871,0.00036645553,0.0031819872],"category_scores_gemma":[0.016721748,0.00016332355,0.0007216457,0.0039001263,0.0009721146,0.0006016277,0.0010564538,0.00078439724,0.0005298864],"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":[0.0002247061,0.000051343137,0.9806645,0.00004040205,0.00046501993,0.00012359291,0.0003707439,0.0038240643,0.00010828846,0.001109255,0.0017961632,0.01122199],"study_design_scores_gemma":[0.00002163627,0.00005731048,0.9905161,0.000025793997,0.00015805864,0.00006716813,0.00044822285,0.0060053226,0.0002583436,0.0011294326,0.0012934777,0.000019083145],"about_ca_topic_score_codex":0.02157075,"about_ca_topic_score_gemma":0.0125789475,"teacher_disagreement_score":0.02157075,"about_ca_system_score_codex":0.00033275588,"about_ca_system_score_gemma":0.00044470158,"threshold_uncertainty_score":0.04289037},"labels":[],"label_agreement":null},{"id":"W3124302726","doi":"","title":"Innovation Offshoring and Outsourcing: What are the Implications for Industrial Policy","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for International Governance Innovation","funders":"","keywords":"Internationalization; Business; Offshoring; Leverage (statistics); Outsourcing; Industrial organization; Industrial policy; Multinational corporation; Developing country; International trade; Economics; Economic growth; Marketing; Finance","score_opus":0.07847030401305685,"score_gpt":0.2513393951468611,"score_spread":0.17286909113380425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124302726","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07089484,0.031191908,0.004912714,0.7514776,0.0005438335,0.000051504416,0.00022128389,0.000033419103,0.14067286],"genre_scores_gemma":[0.9318839,0.029561812,0.00081711105,0.027530963,0.0009796388,0.00008438521,0.000046256035,0.000017178427,0.009078748],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961504,0.0016477669,0.00008389705,0.00032569998,0.00042519288,0.0013670842],"domain_scores_gemma":[0.988775,0.00697084,0.0016955279,0.0003109415,0.0010033157,0.0012442727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004825069,0.0003994139,0.00069983787,0.0011566255,0.0026765575,0.008528309,0.0013298076,0.007124592,0.014450691],"category_scores_gemma":[0.015214833,0.00025035522,0.0005958138,0.002778427,0.009760551,0.012818481,0.0031694828,0.0035232462,0.00079273846],"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":[0.000073608535,0.00011235849,0.0052551692,0.0003331597,0.000023840124,0.00024443667,0.0004563104,0.0050724805,0.00009753192,0.9597893,0.008514455,0.020027345],"study_design_scores_gemma":[0.000052243347,0.00004586432,0.007706333,0.0011865564,0.000030640927,0.00011272807,0.0068532946,0.0035094486,0.00033507997,0.93195254,0.048181485,0.000033776905],"about_ca_topic_score_codex":0.015456187,"about_ca_topic_score_gemma":0.013658249,"teacher_disagreement_score":0.015456187,"about_ca_system_score_codex":0.008532826,"about_ca_system_score_gemma":0.010429981,"threshold_uncertainty_score":0.06191027},"labels":[],"label_agreement":null},{"id":"W3124308742","doi":"10.3917/edd.215.0069","title":"North-South technology diffusion, regional integration, and the dynamics of the “natural trading partners” hypothesis","year":2008,"lang":"en","type":"article","venue":"Revue d économie du développement","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Productivity; Economics; Argument (complex analysis); Total factor productivity; Welfare; International economics; International trade; Economic geography; Natural (archaeology); Diffusion; Macroeconomics; Geography; Market economy","score_opus":0.043097053924992135,"score_gpt":0.19865309273926188,"score_spread":0.15555603881426974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124308742","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":[0.937744,0.0008626367,0.01195327,0.0025373606,0.000022568267,0.00003250903,0.00019494929,0.000033012722,0.04661965],"genre_scores_gemma":[0.9986072,0.00019615967,0.00040463204,0.000047355294,0.000012341521,0.0000071944555,0.00003846105,0.0000019695876,0.0006845705],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996706,0.0000937532,0.000020968624,0.000108579865,0.000051479732,0.000054599677],"domain_scores_gemma":[0.9953436,0.0019117484,0.0021238772,0.00019709587,0.00015627666,0.00026729653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010100622,0.00013910077,0.00031066115,0.00076540204,0.00041711092,0.0017681387,0.00034933386,0.0006019082,0.009984616],"category_scores_gemma":[0.0049598627,0.00008035146,0.00036256708,0.0010470643,0.0021921531,0.0022095742,0.0010348654,0.00056346453,0.00040157902],"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":[0.0006234512,0.00015772757,0.37213963,0.0003035228,0.00021564953,0.0016105559,0.0033373055,0.017823856,0.0045516547,0.5023228,0.003565888,0.09334791],"study_design_scores_gemma":[0.00028293906,0.0003631887,0.47055846,0.00017512166,0.00032716471,0.0016761947,0.010588982,0.052424967,0.0030119556,0.43922505,0.021298321,0.00006779796],"about_ca_topic_score_codex":0.00209752,"about_ca_topic_score_gemma":0.0012355361,"teacher_disagreement_score":0.009984616,"about_ca_system_score_codex":0.0005969484,"about_ca_system_score_gemma":0.00032728398,"threshold_uncertainty_score":0.033401847},"labels":[],"label_agreement":null},{"id":"W3124349925","doi":"","title":"Industry And Location Effects On UK Plants' Innovation Propensity","year":2001,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Prosperity; Business; Technology transfer; Industrial organization; Survey data collection; Economic geography; Economics; International trade; Economic growth","score_opus":0.043359875584412406,"score_gpt":0.21079674551588892,"score_spread":0.16743686993147652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124349925","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":[0.9966695,0.0002203091,0.0004965476,0.000094315874,0.0000047395815,0.0000069989173,0.0007084801,0.00001294858,0.001786214],"genre_scores_gemma":[0.9986112,0.0000854713,0.00009549582,0.000009296124,0.0000035202534,0.0000058231826,0.00035009225,0.0000020973396,0.0008368439],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988827,0.00048540044,0.00008045375,0.0001872444,0.00019837831,0.00016572127],"domain_scores_gemma":[0.9799786,0.011361663,0.006090973,0.000662079,0.00096440123,0.00094224326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088494737,0.00012140115,0.00027109258,0.0012526123,0.00022304154,0.0007783719,0.00019619182,0.00042674536,0.008204826],"category_scores_gemma":[0.009878297,0.000120864504,0.00034941992,0.0017758886,0.0003080936,0.00052180735,0.00093107997,0.00035172584,0.0011456028],"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":[0.00015560267,0.000034174915,0.9854263,0.000036436297,0.00007277283,0.00021456095,0.0003210652,0.0016483513,0.00045017502,0.0002538922,0.00038648164,0.01100027],"study_design_scores_gemma":[0.000007890076,0.000101915895,0.99728465,0.0000105343215,0.000026003465,0.000112745765,0.00031681304,0.0010816875,0.00016396013,0.00011451077,0.00077064167,0.000008680482],"about_ca_topic_score_codex":0.012657326,"about_ca_topic_score_gemma":0.021378718,"teacher_disagreement_score":0.012657326,"about_ca_system_score_codex":0.00047622868,"about_ca_system_score_gemma":0.00029511127,"threshold_uncertainty_score":0.02744788},"labels":[],"label_agreement":null},{"id":"W3124366431","doi":"10.20381/ruor-25522","title":"En quelle année vaut-il mieux être né? Les revenus des hommes et des femmes au Canada pendant un quart de siècle","year":2001,"lang":"fr","type":"preprint","venue":"uO Research (University of Ottawa)","topic":"Economic Growth and Productivity","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":"Humanities; Political science; Art","score_opus":0.08293674496491335,"score_gpt":0.2706810768948776,"score_spread":0.18774433192996423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124366431","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":[0.88887036,0.0050149476,0.0010668492,0.026265942,0.00023541006,0.00004029289,0.0018896129,0.000027272139,0.07658937],"genre_scores_gemma":[0.945428,0.002825641,0.0007150355,0.002021165,0.00003103078,0.000014474123,0.0004806861,0.000018223762,0.048465803],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992818,0.00009327325,0.000009836311,0.00009928042,0.00017109793,0.00034470335],"domain_scores_gemma":[0.9985391,0.00017278844,0.00019622094,0.000050843715,0.0005631407,0.0004780018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007951823,0.00017101572,0.0003641788,0.00046853683,0.0049870946,0.0025536618,0.0005547569,0.0006027412,0.007473649],"category_scores_gemma":[0.0026622862,0.00012729745,0.00023793364,0.0011195313,0.0021346647,0.0011238974,0.0009579326,0.001585571,0.0004514423],"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":[0.000603401,0.0001399042,0.63913876,0.0002818493,0.00030332198,0.0011864803,0.074586615,0.001185545,0.0022895248,0.10718454,0.035729606,0.1373705],"study_design_scores_gemma":[0.000018818857,0.00009730054,0.7495273,0.00048434825,0.000103589235,0.00019219377,0.06746388,0.00036918218,0.00075749966,0.0056540007,0.17525642,0.00007547987],"about_ca_topic_score_codex":0.9640303,"about_ca_topic_score_gemma":0.98938996,"teacher_disagreement_score":0.035969675,"about_ca_system_score_codex":0.011222618,"about_ca_system_score_gemma":0.023125285,"threshold_uncertainty_score":0.08142614},"labels":[],"label_agreement":null},{"id":"W3124377840","doi":"","title":"Demographics and Recent Productivity Performance: Insights from Cross-Country Comparisons","year":2005,"lang":"en","type":"article","venue":"Toulouse Capitole Publications (University Toulouse 1 Capitole)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Demographics; Productivity; Cross country; Demographic economics; Economics; Developed country; Total factor productivity; Developing country; Technological change; Development economics; Economic geography; Economic growth; Macroeconomics; Demography; Sociology","score_opus":0.0231976669283292,"score_gpt":0.2035841041851986,"score_spread":0.1803864372568694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124377840","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":[0.99226487,0.001127938,0.00060264167,0.00021215218,0.000016973447,0.0000090031535,0.0008741161,0.00000910789,0.0048833014],"genre_scores_gemma":[0.9975879,0.0006359773,0.00012650875,0.000029511482,0.000024583662,0.0000067706433,0.0010837674,0.000005132103,0.0004997731],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993955,0.00018400284,0.000048544145,0.00013357327,0.00009277628,0.00014563583],"domain_scores_gemma":[0.9937698,0.0022267462,0.0022540076,0.00050760247,0.0006877513,0.0005540582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025478848,0.00018111564,0.00031933753,0.002556186,0.00039779439,0.00133078,0.00024365529,0.00033926894,0.002762053],"category_scores_gemma":[0.008678996,0.000118401666,0.00039137652,0.002983124,0.0004155019,0.001393355,0.0013104697,0.00049452943,0.00063325453],"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":[0.00017422008,0.00006829901,0.9672501,0.000060218725,0.00026732442,0.00022321925,0.0016413222,0.001558755,0.0004157391,0.001995347,0.0007100012,0.025635354],"study_design_scores_gemma":[0.000002664349,0.00007935362,0.99630237,0.000017174718,0.000027624708,0.00011034246,0.0007608584,0.0002958747,0.00013094283,0.00045744967,0.0018056838,0.000009659323],"about_ca_topic_score_codex":0.0030921104,"about_ca_topic_score_gemma":0.0029502946,"teacher_disagreement_score":0.0030921104,"about_ca_system_score_codex":0.0002978264,"about_ca_system_score_gemma":0.00014834455,"threshold_uncertainty_score":0.013474703},"labels":[],"label_agreement":null},{"id":"W3124425429","doi":"","title":"Patterns of Specialization and (Un)conditional Convergence: The Cases of Brazil, China and India","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Polytechnique Montréal","funders":"","keywords":"Conditional convergence; Frontier; Convergence (economics); Productivity; China; Economics; Economic geography; Econometrics; Development economics; Geography; Macroeconomics","score_opus":0.03123067405064369,"score_gpt":0.27373208588883124,"score_spread":0.24250141183818755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124425429","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":[0.99215186,0.00033896524,0.0003704094,0.00039946285,0.000003671019,0.0000056152367,0.0009413744,0.000018962144,0.005769722],"genre_scores_gemma":[0.99867,0.00010819141,0.00011698414,0.000015983273,0.0000032273106,0.0000029861294,0.0007226341,0.000006971409,0.00035297527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995066,0.00011235534,0.000038821745,0.000086612825,0.00006591237,0.00018967009],"domain_scores_gemma":[0.99495935,0.0015722106,0.0013026044,0.0008296444,0.0009059349,0.0004303295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014484946,0.00011906604,0.0002911124,0.0017882949,0.00059246283,0.00080378365,0.00047622347,0.00027084842,0.002075652],"category_scores_gemma":[0.0074238,0.00008165797,0.00033085348,0.0029338454,0.00076430145,0.0006851472,0.0014467653,0.00053950096,0.00021579897],"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":[0.00018039678,0.000032401214,0.9514533,0.00007383838,0.00009047204,0.0012533601,0.0030508817,0.003870397,0.00060208683,0.015858844,0.0038070797,0.019726869],"study_design_scores_gemma":[0.000015072828,0.000022860268,0.97625244,0.00006397011,0.00005165795,0.0007607118,0.0048497734,0.0069208043,0.00067241315,0.0038730477,0.006494683,0.0000225934],"about_ca_topic_score_codex":0.06423047,"about_ca_topic_score_gemma":0.06971224,"teacher_disagreement_score":0.06423047,"about_ca_system_score_codex":0.00070018345,"about_ca_system_score_gemma":0.00058319233,"threshold_uncertainty_score":0.1277132},"labels":[],"label_agreement":null},{"id":"W3124428236","doi":"","title":"SHOCK THERAPY VERSUS GRADUALISM RECONSIDERED: LESSONS FROM TRANSITION ECONOMIES AFTER 15 YEARS OF REFORMS","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Gradualism; Shock therapy; Economics; Recession; Shock (circulatory); Liberalization; Deregulation; Planned economy; Monetary economics; International economics; Economic system; Macroeconomics; Politics; Market economy; Political science","score_opus":0.07442051265687386,"score_gpt":0.29712130349626054,"score_spread":0.22270079083938668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124428236","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":[0.80908847,0.008770034,0.0047868555,0.08947609,0.00052058836,0.00013880873,0.00022584965,0.000052471834,0.08694093],"genre_scores_gemma":[0.9957491,0.0014209999,0.0002248614,0.0008191202,0.00006260353,0.00001359221,0.000025188121,0.0000075052367,0.001677071],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999041,0.0004407092,0.000030362626,0.00006985479,0.00006925924,0.00034867506],"domain_scores_gemma":[0.9967823,0.001818153,0.00040389583,0.0002185485,0.00029791868,0.00047918785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025113714,0.0002506999,0.00051685626,0.00074222666,0.0021247952,0.0040319343,0.0008232787,0.0020595274,0.0048254356],"category_scores_gemma":[0.008643409,0.00012372436,0.0005370206,0.000955198,0.004656964,0.004613155,0.0027581798,0.002976334,0.00026583308],"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":[0.0014109027,0.00055382156,0.027097657,0.0005226901,0.00013233157,0.004760655,0.06217402,0.009201632,0.0006688503,0.747213,0.01027479,0.1359896],"study_design_scores_gemma":[0.000425154,0.00081080757,0.05084559,0.0008539963,0.00014269233,0.00089115504,0.116257176,0.0074439836,0.0015304968,0.7194201,0.10129388,0.00008497843],"about_ca_topic_score_codex":0.0076487004,"about_ca_topic_score_gemma":0.006922649,"teacher_disagreement_score":0.0076487004,"about_ca_system_score_codex":0.0034778789,"about_ca_system_score_gemma":0.0021149525,"threshold_uncertainty_score":0.025233924},"labels":[],"label_agreement":null},{"id":"W3124429369","doi":"","title":"ICT Investment and Economic Growth in the 1990s: Is the United States a Unique Case? A Comparative Study of Nine OECD Countries","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":130,"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":"Investment (military); Capital (architecture); Economy; Information and Communications Technology; Geography; Political science; Welfare economics; Economics","score_opus":0.07391017683791158,"score_gpt":0.3149755480717266,"score_spread":0.24106537123381505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124429369","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":[0.98165166,0.0053172493,0.00006211447,0.0007254076,0.000023223083,0.000003995529,0.0006986037,0.0000070677147,0.011510763],"genre_scores_gemma":[0.9935602,0.0041285865,0.000057928642,0.00012812845,0.000015020181,0.000006783271,0.0010656903,0.0000031969382,0.0010343613],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967074,0.00007796706,0.000031505086,0.000032389864,0.00006491396,0.00012246934],"domain_scores_gemma":[0.99933344,0.0001215251,0.00024329685,0.000030208535,0.00016811104,0.0001034555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000531998,0.0001606138,0.00018847566,0.0023375922,0.00045023614,0.0014991374,0.00012465633,0.00032811222,0.0007080302],"category_scores_gemma":[0.0012171894,0.00010623449,0.00035837907,0.0046930346,0.0004338672,0.0007244052,0.0009402708,0.00033019428,0.00013769585],"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":[0.00036182813,0.000109455104,0.93172926,0.00013824314,0.00017832247,0.0007919538,0.0029194807,0.0016569981,0.0003330743,0.006034088,0.004524834,0.05122254],"study_design_scores_gemma":[0.000012747221,0.00006647129,0.9779804,0.00012534806,0.00008234853,0.00021453922,0.0035851155,0.000345874,0.00036440408,0.00038645705,0.016826428,0.0000099960625],"about_ca_topic_score_codex":0.07798148,"about_ca_topic_score_gemma":0.11382276,"teacher_disagreement_score":0.07798148,"about_ca_system_score_codex":0.001458768,"about_ca_system_score_gemma":0.0008200989,"threshold_uncertainty_score":0.15505517},"labels":[],"label_agreement":null},{"id":"W3124458631","doi":"10.2139/ssrn.434720","title":"Incidental Trends and the Power of Panel Unit Root Tests","year":2005,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","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 de Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Unit root; Mathematics; Gaussian; Envelope (radar); Power (physics); Panel data; Homogeneous; Unit root test; Score test; Applied mathematics; Statistics; Sample (material); Econometrics; Statistical hypothesis testing; Combinatorics; Computer science; Physics; Telecommunications","score_opus":0.022935560770155808,"score_gpt":0.2255371679065483,"score_spread":0.20260160713639247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124458631","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59549487,0.0075881933,0.3627249,0.0067593944,0.0009375576,0.00008780203,0.0016932572,0.0012830778,0.023431],"genre_scores_gemma":[0.9880349,0.0005901313,0.008659152,0.000285055,0.00054139266,0.000031275635,0.0004798054,0.00016217394,0.0012160304],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9706889,0.021750538,0.001066364,0.0036922947,0.002090536,0.00071142137],"domain_scores_gemma":[0.21232383,0.74951035,0.011821457,0.02152518,0.0035177516,0.0013015085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.052128695,0.0011539772,0.0021549945,0.0036458934,0.000993769,0.0040586283,0.0023573101,0.0027832664,0.008646908],"category_scores_gemma":[0.4122405,0.0007744395,0.0013777456,0.0038694039,0.0050582173,0.007836516,0.0024056402,0.0041104467,0.0009743599],"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":[0.0034265397,0.00033089428,0.27163792,0.0008599544,0.004497002,0.0021691648,0.0028070677,0.06517378,0.0023113443,0.28172666,0.015822664,0.34923702],"study_design_scores_gemma":[0.0005486895,0.0007560712,0.057015114,0.0002632229,0.0010313715,0.000711086,0.0009059069,0.25487837,0.0027200142,0.67459375,0.006438703,0.00013769796],"about_ca_topic_score_codex":0.0009782456,"about_ca_topic_score_gemma":0.0007196873,"teacher_disagreement_score":0.052128695,"about_ca_system_score_codex":0.0005167213,"about_ca_system_score_gemma":0.00071619725,"threshold_uncertainty_score":0.27568614},"labels":[],"label_agreement":null},{"id":"W3124461382","doi":"","title":"What Explains the ICT Diffusion Gap Between the Major Industrialized Countries: An Empirical Analysis?","year":2008,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Information and Communications Technology; Economics; Productivity; Demographic economics; Panel data; Developed country; Gross domestic product; Population; Economic growth; Development economics; International economics; Political science; Econometrics; Demography; Sociology","score_opus":0.10708606208879161,"score_gpt":0.30137989030720974,"score_spread":0.19429382821841812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124461382","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":[0.9837249,0.00719403,0.0008432684,0.0020725357,0.00002387833,0.000026407042,0.000792681,0.0000209927,0.0053012683],"genre_scores_gemma":[0.99704915,0.0018318654,0.000203263,0.00008320595,0.000037892787,0.000012533417,0.0005361977,0.000005820637,0.00024011963],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992379,0.00020992325,0.00007742496,0.00014879259,0.000121021396,0.00020491102],"domain_scores_gemma":[0.9873847,0.00721588,0.0036966694,0.00031849308,0.00070572254,0.0006785398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019205065,0.00038420234,0.000793838,0.0044338955,0.0005759814,0.0025224928,0.0006505982,0.0010168392,0.004125126],"category_scores_gemma":[0.010527317,0.00024895323,0.0011295296,0.0074473084,0.000982665,0.002989493,0.0014365127,0.00096473785,0.0006465991],"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":[0.00012481776,0.00015325518,0.95808136,0.00032887355,0.00027116537,0.00042809706,0.0020481083,0.0020386288,0.00013385002,0.0064839567,0.0012783488,0.028629564],"study_design_scores_gemma":[0.000030648087,0.00006872309,0.9752612,0.00039605782,0.0002336856,0.00035933268,0.009709879,0.005575654,0.00020466371,0.0039244555,0.0042119445,0.000023603478],"about_ca_topic_score_codex":0.010420074,"about_ca_topic_score_gemma":0.0056765038,"teacher_disagreement_score":0.010420074,"about_ca_system_score_codex":0.0007679866,"about_ca_system_score_gemma":0.0007523212,"threshold_uncertainty_score":0.020718873},"labels":[],"label_agreement":null},{"id":"W3124476854","doi":"10.1023/a:1016558816247","title":"Neoclassical Growth Accounting and Frontier Analysis: A Synthesis","year":2002,"lang":"en","type":"article","venue":"Journal of Productivity Analysis","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal","funders":"","keywords":"Solow residual; Total factor productivity; Economics; Econometrics; Productivity; Growth accounting; Measure (data warehouse); Residual; Value (mathematics); Mathematics; Macroeconomics; Statistics; Computer science","score_opus":0.024908295628097234,"score_gpt":0.19363057021463898,"score_spread":0.16872227458654174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124476854","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001463645,0.9571845,0.022652054,0.0040741405,0.0008310592,0.000019514559,0.0002771784,0.00004062884,0.013457261],"genre_scores_gemma":[0.017950715,0.96774757,0.00890317,0.0007302291,0.001955232,0.000036870668,0.0002607469,0.000036817542,0.0023786114],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99893373,0.00026899538,0.00014608214,0.00013122045,0.00046426267,0.00005564167],"domain_scores_gemma":[0.99261004,0.0053006937,0.000337375,0.0003128586,0.0013548019,0.000084211984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034890515,0.0012503004,0.0020464766,0.0094760675,0.0005280016,0.004418544,0.0017718533,0.0016447776,0.005570181],"category_scores_gemma":[0.011100851,0.0008237067,0.0009519809,0.013508631,0.0015088136,0.0042170915,0.0010466854,0.00198066,0.0014049012],"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":[0.0000525069,0.00016400544,0.0013023602,0.009404668,0.00016597605,0.00015153192,0.00027744618,0.018225953,0.00033919385,0.33023813,0.040932294,0.598746],"study_design_scores_gemma":[0.000017573102,0.00007145201,0.0066702585,0.009336227,0.0002111188,0.0003999276,0.00030567907,0.016614309,0.0006311648,0.45246047,0.51318026,0.000101533435],"about_ca_topic_score_codex":0.005333938,"about_ca_topic_score_gemma":0.00571138,"teacher_disagreement_score":0.0094760675,"about_ca_system_score_codex":0.0040474585,"about_ca_system_score_gemma":0.003525884,"threshold_uncertainty_score":0.029366493},"labels":[],"label_agreement":null},{"id":"W3124519973","doi":"","title":"Efficiency, Depth and Growth: Quantitative Implications of Finance and Growth Theory","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"London Metropolitan University; Cardiff University; University of Glasgow; University of Oxford; University of Birmingham; Heriot-Watt University; University of Warwick; University of Cambridge; University of St Andrews; University of Essex; Newcastle University; Vanderbilt University; York University","keywords":"Economics; Endogenous growth theory; Growth theory; Ask price; Relation (database); Growth model; Financial economics; Finance; Macroeconomics; Neoclassical economics; Market economy","score_opus":0.05730710336003399,"score_gpt":0.3113203279120585,"score_spread":0.2540132245520245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124519973","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":[0.2580249,0.0063800733,0.62332785,0.017453143,0.00016486301,0.000118174066,0.0008250183,0.00017892281,0.09352705],"genre_scores_gemma":[0.9650016,0.002852917,0.018982643,0.00035304445,0.00017575867,0.00007454848,0.00015854323,0.000057382673,0.012343651],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99962926,0.00012315281,0.000018880097,0.00005464716,0.000086483466,0.00008757386],"domain_scores_gemma":[0.99619955,0.0022569094,0.0007552548,0.00025225498,0.0002474573,0.0002884936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016464901,0.00065787084,0.0006306316,0.0010335654,0.0004800377,0.0030710192,0.0007361959,0.0013825676,0.0058508534],"category_scores_gemma":[0.008997019,0.00033052813,0.00066410034,0.0015407688,0.0027757976,0.007825505,0.0020662074,0.0017744808,0.0004906962],"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":[0.000013353082,0.000018596611,0.0027513774,0.00005915511,0.000012357795,0.000059353173,0.0001436645,0.04263761,0.00023227495,0.94382787,0.0009768934,0.009267506],"study_design_scores_gemma":[0.000007880898,0.0000103009625,0.0010547885,0.000028533506,0.0000070884357,0.00005044142,0.000059918784,0.040557425,0.00013790806,0.95557755,0.002500413,0.000007754321],"about_ca_topic_score_codex":0.0021561524,"about_ca_topic_score_gemma":0.0012830286,"teacher_disagreement_score":0.0058508534,"about_ca_system_score_codex":0.0016960195,"about_ca_system_score_gemma":0.0009308693,"threshold_uncertainty_score":0.019573033},"labels":[],"label_agreement":null},{"id":"W3124529484","doi":"","title":"Optimum Tariffs and Patent Length in a Model of North-South Technology Transfer","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Tariff; Incentive; International economics; Welfare; International trade; Technology transfer; Business; Foreign direct investment; Economics; Government (linguistics); Microeconomics; Market economy; Macroeconomics","score_opus":0.06732771453325086,"score_gpt":0.25171260402785356,"score_spread":0.1843848894946027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124529484","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":[0.32727855,0.00260756,0.52061117,0.010608151,0.00022716045,0.0002185927,0.0012692603,0.00044819282,0.13673131],"genre_scores_gemma":[0.932685,0.0020989676,0.020681031,0.0003742845,0.00012815736,0.00019656484,0.00027870966,0.000120775076,0.0434364],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992192,0.00031997336,0.000027750855,0.00013846016,0.00007773307,0.00021683748],"domain_scores_gemma":[0.9976199,0.0015087676,0.00035378776,0.00010712343,0.00012258838,0.0002877945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018819352,0.0011427705,0.0021869317,0.0014442317,0.00150102,0.0042410153,0.002018452,0.0050077867,0.018663742],"category_scores_gemma":[0.004991149,0.0011370361,0.0020133292,0.0016489743,0.0028602376,0.005295928,0.0018738385,0.0028349415,0.0016167546],"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":[0.00016666402,0.00010006505,0.0003752842,0.000087432236,0.000030535262,0.00019371357,0.00011019855,0.5142324,0.0009854375,0.47835124,0.0016402414,0.003726705],"study_design_scores_gemma":[0.00024043606,0.000092534814,0.00032491714,0.00003965843,0.000037423404,0.00009949488,0.00009555708,0.57578945,0.00021436639,0.4199451,0.0030759429,0.000045213834],"about_ca_topic_score_codex":0.008380037,"about_ca_topic_score_gemma":0.0060084607,"teacher_disagreement_score":0.018663742,"about_ca_system_score_codex":0.004968974,"about_ca_system_score_gemma":0.002760249,"threshold_uncertainty_score":0.0624364},"labels":[],"label_agreement":null},{"id":"W3124534786","doi":"","title":"A Demand and Supply Analysis of Productivity Growth","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Saint Vincent University; Dalhousie University","funders":"","keywords":"Economics; Productivity; Slowdown; Backwardness; Investment (military); Unemployment; Aggregate demand; Sample (material); Econometrics; Growth model; Macroeconomics; Economic growth; Monetary policy","score_opus":0.03899074201647993,"score_gpt":0.27628739664346685,"score_spread":0.23729665462698693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124534786","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":[0.6659541,0.002112718,0.18702735,0.00753064,0.00019026925,0.00021251508,0.00934123,0.000501329,0.12712985],"genre_scores_gemma":[0.9657773,0.0007698513,0.0077713397,0.00017089584,0.00020374455,0.00012861926,0.002074254,0.00009957787,0.023004519],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995511,0.00013606745,0.000017223772,0.00008232886,0.00012759956,0.00008562471],"domain_scores_gemma":[0.9979023,0.0011774454,0.00022921879,0.00019001002,0.0003848459,0.000116231015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009660545,0.0004838223,0.0005237837,0.0017933301,0.0005048068,0.0013072909,0.00051592913,0.00073509425,0.018026082],"category_scores_gemma":[0.0048868456,0.00041108695,0.0013856152,0.0021022733,0.00048703497,0.0016426649,0.0012244746,0.0009677786,0.0025982317],"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":[0.0005068923,0.000354536,0.0855256,0.0005314843,0.0003069591,0.0011034546,0.0015244877,0.29551384,0.013912406,0.4809942,0.022436623,0.09728954],"study_design_scores_gemma":[0.00009777161,0.00024830157,0.05105093,0.00008615011,0.00012672994,0.00039243334,0.00082626136,0.7691915,0.0028149122,0.13375309,0.041333925,0.00007794958],"about_ca_topic_score_codex":0.009125943,"about_ca_topic_score_gemma":0.0036886833,"teacher_disagreement_score":0.018026082,"about_ca_system_score_codex":0.0013308794,"about_ca_system_score_gemma":0.0008973269,"threshold_uncertainty_score":0.06030327},"labels":[],"label_agreement":null},{"id":"W3124591066","doi":"","title":"Creative Destruction and Firm-Specific Performance Heterogeneity","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Creative destruction; Endogenous growth theory; Economics; Productivity; Intellectual property; Stock (firearms); Monetary economics; Economic geography; Industrial organization; Macroeconomics; Market economy; Human capital","score_opus":0.06632841691033188,"score_gpt":0.28999670456633386,"score_spread":0.223668287656002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124591066","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":[0.9946898,0.00028063214,0.0009017156,0.000182654,0.0000038329886,0.000007774682,0.0000737322,0.000012414041,0.0038476111],"genre_scores_gemma":[0.9996424,0.000028487924,0.000045345012,0.000013109426,0.000008301432,0.000001835552,0.000038085265,0.0000014750228,0.00022095781],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990307,0.00017847458,0.000083494815,0.00023886046,0.00019889971,0.00026956236],"domain_scores_gemma":[0.9720929,0.010030832,0.012038263,0.0029490483,0.0007035601,0.00218545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016928852,0.00021468275,0.00031488645,0.0019133841,0.0005464988,0.0025377811,0.0004004364,0.0005519108,0.003089454],"category_scores_gemma":[0.0135903815,0.00013899418,0.00028573172,0.0015697732,0.001928407,0.0013812082,0.0019734607,0.0008405806,0.00031530223],"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":[0.0004674382,0.00035310985,0.94796646,0.0000409268,0.00020248619,0.00044787707,0.0010842368,0.004577687,0.0024616555,0.0129818935,0.00062445726,0.028791761],"study_design_scores_gemma":[0.000034357858,0.000121400735,0.97324127,0.000017639604,0.00004144618,0.00030935172,0.00059232954,0.0036800543,0.00095293485,0.020243417,0.0007413739,0.000024477627],"about_ca_topic_score_codex":0.0015836896,"about_ca_topic_score_gemma":0.0010300531,"teacher_disagreement_score":0.003089454,"about_ca_system_score_codex":0.0007741226,"about_ca_system_score_gemma":0.00027831155,"threshold_uncertainty_score":0.010335267},"labels":[],"label_agreement":null},{"id":"W3124614272","doi":"","title":"Predicting growth rates and recessions: assessing US leading indicators under real-time conditions","year":2008,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Recession; Economic indicator; Econometrics; Composite indicator; Economics; Real-time data; Predictive power; Survey of Professional Forecasters; Quarter (Canadian coin); Aggregate (composite); Nowcasting; Computer science; Macroeconomics; Monetary policy; Geography; Meteorology","score_opus":0.04918360364642977,"score_gpt":0.3086547120607385,"score_spread":0.25947110841430876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124614272","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":[0.9904275,0.0003649151,0.005474105,0.00032027476,0.000024386687,0.000014946985,0.001868735,0.000113921735,0.0013911352],"genre_scores_gemma":[0.9948428,0.00030835942,0.0016935857,0.000028539356,0.000024887295,0.000009729019,0.0028847721,0.000015144986,0.00019212539],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992951,0.00028712925,0.000056135395,0.00010632347,0.00015911087,0.000096176154],"domain_scores_gemma":[0.98310435,0.01007948,0.0035161905,0.00059402303,0.0020206291,0.0006853072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043493314,0.0006564451,0.00046823165,0.0027626848,0.00020948146,0.0014532469,0.00030105747,0.00065688445,0.0009014021],"category_scores_gemma":[0.022086618,0.00018868946,0.00047915243,0.0029100345,0.00033485625,0.0012244857,0.00076986244,0.0009245459,0.00047330649],"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":[0.0002680385,0.0000638047,0.9320684,0.000038514423,0.00011968346,0.000048418093,0.00015691773,0.043551706,0.00023341218,0.00050074654,0.0010268646,0.021923587],"study_design_scores_gemma":[0.000029734465,0.00023575989,0.74208504,0.00006182849,0.00012051397,0.00006903034,0.0005856219,0.25184774,0.0014476973,0.0019770833,0.001485739,0.000054204866],"about_ca_topic_score_codex":0.01512662,"about_ca_topic_score_gemma":0.011652967,"teacher_disagreement_score":0.01512662,"about_ca_system_score_codex":0.00039696269,"about_ca_system_score_gemma":0.00047475065,"threshold_uncertainty_score":0.03007716},"labels":[],"label_agreement":null},{"id":"W3124630963","doi":"10.3386/w20725","title":"Growth, Slowdowns, and Recoveries","year":2014,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Environmental science","score_opus":0.26776791202225503,"score_gpt":0.4123761950033715,"score_spread":0.1446082829811165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124630963","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":[0.9655709,0.00083683647,0.01701933,0.0035285274,0.00005024587,0.000046782076,0.0044515906,0.00038204654,0.008113691],"genre_scores_gemma":[0.993683,0.0005355412,0.00085299916,0.000086619075,0.000025104642,0.000035231107,0.0012805646,0.00004768097,0.0034533378],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994609,0.00007942069,0.000034651224,0.00016685684,0.00007790535,0.00018027441],"domain_scores_gemma":[0.99581784,0.0013055811,0.0020080062,0.0003293978,0.00026176518,0.00027746093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021429607,0.000650614,0.0007122366,0.0012702969,0.0004852113,0.0024845067,0.0007874036,0.0019663572,0.004447096],"category_scores_gemma":[0.012721773,0.0005896891,0.00085774536,0.0015250643,0.000799957,0.0021432962,0.0014765201,0.0021566183,0.0007361914],"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":[0.00042831633,0.00015649844,0.20262441,0.00016826042,0.00024366462,0.0008825966,0.00061672844,0.68023646,0.0022489927,0.06380849,0.009904325,0.03868121],"study_design_scores_gemma":[0.00008341969,0.00013637391,0.11031678,0.00010296046,0.00011939477,0.00030853416,0.0006414827,0.797215,0.0012965328,0.08135689,0.008304931,0.00011757579],"about_ca_topic_score_codex":0.022759879,"about_ca_topic_score_gemma":0.01210916,"teacher_disagreement_score":0.022759879,"about_ca_system_score_codex":0.0018110832,"about_ca_system_score_gemma":0.0008089149,"threshold_uncertainty_score":0.045254827},"labels":[],"label_agreement":null},{"id":"W3124636723","doi":"10.1257/0002828042002570","title":"Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach","year":2004,"lang":"en","type":"article","venue":"American Economic Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2135,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Econometrics; Economics; Bayesian probability; Term (time); Robustness (evolution); Mathematics; Per capita; Ordinary least squares; Regression; Bayesian inference; Statistics","score_opus":0.027763769065263302,"score_gpt":0.2576238715052205,"score_spread":0.2298601024399572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124636723","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":[0.0578493,0.0020182608,0.9355871,0.0008601196,0.00008008805,0.00008213222,0.00021485679,0.00020850825,0.0030996185],"genre_scores_gemma":[0.80085564,0.0018909231,0.19390799,0.00035872773,0.00043273836,0.00022498707,0.0007418752,0.00010905447,0.0014780244],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98622525,0.009838296,0.00052597263,0.0015249692,0.0015949924,0.0002905036],"domain_scores_gemma":[0.894869,0.08833758,0.0047331452,0.0062997867,0.005352105,0.00040840995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03479735,0.00092308165,0.0017384611,0.003395139,0.0008211354,0.0029790052,0.002418806,0.0011138768,0.001677907],"category_scores_gemma":[0.14443134,0.00090956065,0.0015159537,0.0028309582,0.0019223538,0.00419203,0.0023692113,0.0023281013,0.0002560047],"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":[0.00024196379,0.00015454847,0.071309455,0.00046735405,0.005224285,0.00036373193,0.00096520054,0.26189157,0.0012028519,0.382872,0.0036732538,0.27163374],"study_design_scores_gemma":[0.00004068219,0.00011106306,0.02242356,0.00013243312,0.00048220274,0.00010882624,0.00016717885,0.6600987,0.00071387796,0.312365,0.003250616,0.000105806044],"about_ca_topic_score_codex":0.0095240325,"about_ca_topic_score_gemma":0.009176939,"teacher_disagreement_score":0.03479735,"about_ca_system_score_codex":0.000985456,"about_ca_system_score_gemma":0.0012971758,"threshold_uncertainty_score":0.18402821},"labels":[],"label_agreement":null},{"id":"W3124655787","doi":"","title":"Induced Technological Change in Canadian Agriculture Field Crops - Canola and Wheat: 1926-2003","year":2005,"lang":"en","type":"article","venue":"2005 Annual meeting, July 24-27, Providence, RI","topic":"Economic Growth and Productivity","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":"Canola; Cointegration; Production (economics); Economics; Agriculture; Constant elasticity of substitution; Substitution (logic); Econometrics; Granger causality; Agricultural economics; Agronomy; Mathematics; Elasticity of substitution; Geography; Microeconomics; Biology","score_opus":0.0236066237676429,"score_gpt":0.22046780038552974,"score_spread":0.19686117661788682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124655787","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":[0.9170098,0.0015575973,0.0006343504,0.00085275783,0.000035460842,0.000061071965,0.06629055,0.00009448805,0.013463983],"genre_scores_gemma":[0.9624524,0.001325679,0.00066438084,0.00006802261,0.000014956384,0.000022755858,0.028463794,0.000014847778,0.006973278],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99954,0.000015414224,0.000017275399,0.00006888899,0.00024580763,0.00011261162],"domain_scores_gemma":[0.9981254,0.00011831188,0.00023964842,0.00010243689,0.0012949194,0.00011933116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006948969,0.00037400966,0.0003177132,0.0024120766,0.0011308457,0.0009928207,0.0005891917,0.00026437722,0.0020982448],"category_scores_gemma":[0.0031217886,0.00014811629,0.00044211818,0.0064783916,0.00041232596,0.00030793794,0.00047267732,0.00045425983,0.00027464444],"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":[0.00055135327,0.00012154569,0.84689766,0.00034934873,0.00037713672,0.0005456305,0.0023008166,0.01506879,0.0024122356,0.004914765,0.028746959,0.097713724],"study_design_scores_gemma":[0.0000062492472,0.000007103571,0.98410493,0.000013334818,0.000022492537,0.000038342994,0.00023110842,0.0013102839,0.0004204262,0.000095023985,0.013734323,0.000016286449],"about_ca_topic_score_codex":0.9953048,"about_ca_topic_score_gemma":0.99784863,"teacher_disagreement_score":0.04027278,"about_ca_system_score_codex":0.04027278,"about_ca_system_score_gemma":0.022970414,"threshold_uncertainty_score":0.29220086},"labels":[],"label_agreement":null},{"id":"W3124689589","doi":"10.1080/13504851.2011.560104&amp;magic=repec&amp;7c&amp;7c8674ecab8bb840c6ad35dc6213a474b5","title":"An Empirical Analysis of Income Convergence in the European Union","year":2010,"lang":"en","type":"preprint","venue":"Open Repository and Bibliography (University of Liège)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Convergence (economics); European union; Economics; Sovereignty; International economics; European debt crisis; European integration; Sovereign debt; International trade; Macroeconomics; Political science","score_opus":0.03499650845287012,"score_gpt":0.24383916745310902,"score_spread":0.2088426590002389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124689589","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":[0.9931712,0.00063929526,0.0013998417,0.00024854136,0.000010212163,0.000008635303,0.00018146813,0.000019718731,0.0043211547],"genre_scores_gemma":[0.99854916,0.00020895393,0.00019468552,0.000018178165,0.000012189865,0.0000045079155,0.00046440406,0.000007835335,0.0005400985],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988028,0.00059375656,0.0000770272,0.00016775649,0.00015940117,0.00019920833],"domain_scores_gemma":[0.98909914,0.0059711174,0.0027019323,0.0006389474,0.00093435077,0.00065457146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031264634,0.00018487744,0.0005435044,0.0024168026,0.0004910628,0.0014911998,0.00044153148,0.0006046388,0.0035255305],"category_scores_gemma":[0.020677578,0.0001330257,0.00034381275,0.0036288733,0.00085376785,0.0019254329,0.0013617584,0.0011680077,0.00050900393],"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":[0.0004008876,0.00019001588,0.91560817,0.00007660872,0.00019662133,0.0006466436,0.0031296236,0.013515901,0.000284873,0.021283876,0.002637697,0.042029094],"study_design_scores_gemma":[0.000032179785,0.00012473461,0.9449296,0.00019322443,0.00007874382,0.0005019049,0.005192463,0.032462273,0.0006360303,0.008532624,0.0072830883,0.00003302592],"about_ca_topic_score_codex":0.0057568992,"about_ca_topic_score_gemma":0.0023669198,"teacher_disagreement_score":0.0057568992,"about_ca_system_score_codex":0.0006013199,"about_ca_system_score_gemma":0.00035247422,"threshold_uncertainty_score":0.016534507},"labels":[],"label_agreement":null},{"id":"W3124693491","doi":"10.3386/w12832","title":"The Role of School Improvement in Economic Development","year":2007,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":173,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Mathematics education; Psychology; Economics","score_opus":0.25984425940619715,"score_gpt":0.4331298566250697,"score_spread":0.17328559721887254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124693491","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":[0.15165205,0.21544808,0.012830836,0.08660745,0.0009783234,0.0002469086,0.0016607929,0.00028901073,0.53028655],"genre_scores_gemma":[0.89413613,0.08277158,0.0037400678,0.002051719,0.0005913906,0.000040165116,0.000373829,0.000022580576,0.016272599],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984206,0.0007503329,0.00007516934,0.00011973677,0.00026155237,0.0003724559],"domain_scores_gemma":[0.9951781,0.0019921295,0.0012270884,0.0002153604,0.0007957001,0.0005917276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023768037,0.0002718937,0.00036751982,0.0019581153,0.00072847656,0.0026546498,0.0003839356,0.0006550545,0.007027856],"category_scores_gemma":[0.005737521,0.00012140739,0.00026277744,0.0026159997,0.002224478,0.0021236977,0.0017665237,0.0011928037,0.0007361447],"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":[0.00015154715,0.00020203734,0.048180915,0.0013907764,0.00007924083,0.00021742063,0.0009480938,0.0073166587,0.00032542137,0.48599753,0.024161777,0.43102854],"study_design_scores_gemma":[0.000087008564,0.00045619803,0.21428786,0.0025555638,0.00015113314,0.00037653325,0.0018114845,0.0033354224,0.0018997071,0.26965997,0.5053119,0.00006726554],"about_ca_topic_score_codex":0.01139489,"about_ca_topic_score_gemma":0.012747774,"teacher_disagreement_score":0.01139489,"about_ca_system_score_codex":0.002648229,"about_ca_system_score_gemma":0.0037379088,"threshold_uncertainty_score":0.023510575},"labels":[],"label_agreement":null},{"id":"W3124732455","doi":"","title":"Life Cycle Effects of Job Displacement in Brazil","year":2006,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Rheinische Friedrich-Wilhelms-Universität Bonn","keywords":"Earnings; Human capital; Layoff; Wage; Economics; Displacement (psychology); Labour economics; Displaced workers; Demographic economics; Quarter (Canadian coin); Unemployment; Psychology; Geography; Economic growth","score_opus":0.011891130852236812,"score_gpt":0.2151866383895493,"score_spread":0.2032955075373125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124732455","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":[0.9903598,0.001314663,0.00091409124,0.0010365027,0.000017964032,0.00004026388,0.0015805848,0.000024050802,0.0047119576],"genre_scores_gemma":[0.9975915,0.00033873346,0.00010168101,0.000043366275,0.0000040325613,0.000010864535,0.0005350347,0.0000034386828,0.0013714507],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977046,0.000045068504,0.00001098799,0.00003886382,0.00003506426,0.000099579745],"domain_scores_gemma":[0.9991078,0.00027390316,0.0003018779,0.000048430305,0.00012376279,0.00014423183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084468664,0.00023415324,0.00035529735,0.0005670516,0.0006119711,0.0007910026,0.00063463,0.00058869855,0.0048396075],"category_scores_gemma":[0.0034168162,0.00022545569,0.00066271384,0.0005762016,0.00043648665,0.00051018596,0.00089641,0.00050789816,0.0003480777],"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":[0.00025153195,0.00014120918,0.9304352,0.00021024482,0.00016769166,0.0006535811,0.0011186573,0.031357165,0.0012463456,0.0075897938,0.0022331483,0.024595376],"study_design_scores_gemma":[0.000041952888,0.00028896795,0.9438303,0.00011343332,0.00008905853,0.00027415535,0.0027602443,0.038720265,0.00044781208,0.0037566002,0.009638849,0.000038473318],"about_ca_topic_score_codex":0.17906825,"about_ca_topic_score_gemma":0.15166652,"teacher_disagreement_score":0.17906825,"about_ca_system_score_codex":0.0024267419,"about_ca_system_score_gemma":0.0010224817,"threshold_uncertainty_score":0.35605192},"labels":[],"label_agreement":null},{"id":"W3124781972","doi":"10.20381/ruor-25525","title":"New Evidence of Convergence Across Canadian Provinces: The Role of Urbanization","year":2000,"lang":"en","type":"preprint","venue":"uO Research (University of Ottawa)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"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":"Urbanization; Conditional convergence; Convergence (economics); Per capita income; Per capita; Capital (architecture); Economics; Geography; Demographic economics; Economic geography; Economic growth; Demography; Population; Sociology","score_opus":0.07602578303738701,"score_gpt":0.2701731780094839,"score_spread":0.19414739497209693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124781972","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":[0.91932046,0.0033718091,0.0034925558,0.0030437117,0.000039606308,0.000036344896,0.0019298067,0.000086194625,0.06867963],"genre_scores_gemma":[0.9965926,0.00049883017,0.00038621246,0.000061154766,0.0000054189704,0.0000039333268,0.00032456958,0.00001106454,0.0021161458],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985171,0.000153835,0.000064111526,0.00025424882,0.00046846992,0.00054211897],"domain_scores_gemma":[0.9928597,0.0015707266,0.0008584419,0.00059193047,0.0035392249,0.0005799235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002279568,0.00027671218,0.00062600203,0.0031361533,0.0022407966,0.002014019,0.0010132911,0.00039916916,0.005722393],"category_scores_gemma":[0.01360012,0.00027696157,0.00062963314,0.005377728,0.0020386009,0.0010701617,0.0016701395,0.00075099064,0.00025716994],"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":[0.00039290395,0.000028353794,0.85649407,0.00023755472,0.00019606219,0.00078211114,0.0072322288,0.014764557,0.00068607816,0.04098884,0.0040411097,0.074156255],"study_design_scores_gemma":[0.000016265543,0.000022853896,0.9758361,0.00010649929,0.00007971927,0.0000955353,0.0035600255,0.0068898406,0.00024483405,0.0028495255,0.010270171,0.000028564022],"about_ca_topic_score_codex":0.9802934,"about_ca_topic_score_gemma":0.97933996,"teacher_disagreement_score":0.019706607,"about_ca_system_score_codex":0.017749205,"about_ca_system_score_gemma":0.023271503,"threshold_uncertainty_score":0.12878013},"labels":[],"label_agreement":null},{"id":"W3124929755","doi":"","title":"Inter-Country R&D Efficiency Analysis: An Application of Data Envelopment Analysis","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Data envelopment analysis; Inefficiency; Returns to scale; China; Efficient frontier; Efficiency; Frontier; Variable (mathematics); Scale (ratio); Economics; Developing country; Econometrics; Business; Production (economics); Economic growth; Geography; Statistics; Macroeconomics; Mathematics; Financial economics; Microeconomics","score_opus":0.018589968027658523,"score_gpt":0.2485090532702091,"score_spread":0.22991908524255059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124929755","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11968857,0.0012728191,0.865187,0.00031953506,0.000035331144,0.00016936271,0.0010907706,0.00018390655,0.012052746],"genre_scores_gemma":[0.8180814,0.0013904629,0.17810006,0.000047828235,0.000020845648,0.00026227627,0.0009115287,0.00008429623,0.0011013127],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9944079,0.0031719457,0.00034184902,0.00049834675,0.0012779223,0.00030203394],"domain_scores_gemma":[0.98767716,0.008306021,0.0014254383,0.0015929622,0.00090315467,0.00009514298],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008629222,0.0012495278,0.002176373,0.007317563,0.00066941296,0.0029613571,0.0006850858,0.00080250023,0.0013020055],"category_scores_gemma":[0.023562107,0.0004602026,0.002283873,0.01261065,0.00093923975,0.002532266,0.0023017162,0.0011625439,0.00028668184],"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":[0.00010275534,0.00008607869,0.021145392,0.00025262876,0.0005862524,0.00017125357,0.00031683454,0.8001335,0.001007398,0.11144551,0.0007530351,0.06399927],"study_design_scores_gemma":[0.000021449478,0.00015132775,0.009648235,0.000101071026,0.00010300492,0.00013059608,0.00046157508,0.9075325,0.0032904241,0.07088341,0.007590129,0.000086147425],"about_ca_topic_score_codex":0.007217615,"about_ca_topic_score_gemma":0.002176483,"teacher_disagreement_score":0.9913708,"about_ca_system_score_codex":0.0018744174,"about_ca_system_score_gemma":0.0021011683,"threshold_uncertainty_score":0.045636237},"labels":[],"label_agreement":null},{"id":"W3124933251","doi":"10.1111/j.0741-6261.2008.00017.x","title":"A theory of factor allocation and plant size","year":2008,"lang":"en","type":"article","venue":"The RAND Journal of Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Factor price; Growth theory; Factor (programming language); Capital (architecture); Microeconomics; Trade theory; Neoclassical economics; International trade; Computer science; Free trade","score_opus":0.04518968572530954,"score_gpt":0.19008756451365383,"score_spread":0.1448978787883443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124933251","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":[0.017296694,0.0031607805,0.8187316,0.0039601084,0.0002977931,0.000050022572,0.0003050784,0.00023709313,0.15596083],"genre_scores_gemma":[0.72378516,0.007333274,0.16285041,0.0015878795,0.001966329,0.00036285896,0.00042431167,0.00022279184,0.10146692],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993529,0.00017632198,0.000020382233,0.0001649204,0.00018445302,0.00010114086],"domain_scores_gemma":[0.99850154,0.00084219954,0.00013814883,0.00021157635,0.00024198198,0.00006449207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012020991,0.00078908016,0.00061581546,0.0014053227,0.0010283735,0.0019644033,0.0009665061,0.0010832563,0.019707628],"category_scores_gemma":[0.004597375,0.00033689063,0.0010588176,0.0018077666,0.0032835742,0.0038681303,0.0010043518,0.0017946588,0.0030480581],"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":[0.0000075848657,0.000007132284,0.00035833858,0.000016581238,0.0000076004194,0.00002396248,0.000077050856,0.0048644724,0.00014901526,0.9781259,0.00153094,0.014831376],"study_design_scores_gemma":[0.000011285371,0.000010949523,0.000451062,0.00001565558,0.000005555657,0.000056974357,0.000025374731,0.0052980795,0.000101554884,0.9769645,0.017051548,0.0000074840714],"about_ca_topic_score_codex":0.0036497614,"about_ca_topic_score_gemma":0.0019207663,"teacher_disagreement_score":0.019707628,"about_ca_system_score_codex":0.0018531475,"about_ca_system_score_gemma":0.0010825199,"threshold_uncertainty_score":0.06592858},"labels":[],"label_agreement":null},{"id":"W3124942883","doi":"","title":"On the quantity and quality of knowledge - the impact of openness and foreign research and development on North-North and North-South technology spillovers","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Openness to experience; Total factor productivity; Productivity; International economics; Economics; International trade; Quality (philosophy); Liberalization; Economic geography; Economic growth; Psychology","score_opus":0.15187117389638685,"score_gpt":0.346295268640722,"score_spread":0.19442409474433517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124942883","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":[0.7284996,0.0071211564,0.0053340667,0.005525302,0.000104917526,0.00007207548,0.0013702716,0.000031515025,0.25194106],"genre_scores_gemma":[0.99082875,0.0022710408,0.00074236776,0.00024982533,0.00007300966,0.000028041819,0.00027379734,0.000013258782,0.0055199377],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976163,0.000856225,0.00012951941,0.00040665077,0.0007571827,0.00023413113],"domain_scores_gemma":[0.9429448,0.042672202,0.008386021,0.0016239469,0.0024360646,0.0019368674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034516419,0.00025644177,0.00048737976,0.002573371,0.00057692017,0.004192024,0.00039776997,0.00067697774,0.011608759],"category_scores_gemma":[0.017914258,0.00015338649,0.00096228824,0.00403288,0.0024584362,0.0031620956,0.0027981822,0.0009303542,0.00078368996],"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":[0.00077247526,0.000318188,0.7490402,0.00078187435,0.000920952,0.00060655497,0.0028047538,0.01203898,0.002064792,0.11356392,0.0030325262,0.11405478],"study_design_scores_gemma":[0.000042378226,0.00025044047,0.9240232,0.0005605298,0.00057821703,0.00026643186,0.0041248323,0.0033125537,0.0017755256,0.046533205,0.018482452,0.000050156686],"about_ca_topic_score_codex":0.006781846,"about_ca_topic_score_gemma":0.008811609,"teacher_disagreement_score":0.011608759,"about_ca_system_score_codex":0.0021803374,"about_ca_system_score_gemma":0.0018235017,"threshold_uncertainty_score":0.03883511},"labels":[],"label_agreement":null},{"id":"W3124976107","doi":"10.22004/ag.econ.273702","title":"The Stock of Intangible Capital in Canada: Evidence from the Aggregate Value of Securities","year":2008,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Physical capital; Stock (firearms); Economics; Cost of capital; Monetary economics; Business; Book value; Fixed capital; Financial economics; Financial capital; Finance; Capital formation; Earnings; Microeconomics; Human capital; Market economy","score_opus":0.04947635133632351,"score_gpt":0.20238374823808636,"score_spread":0.15290739690176286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124976107","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":[0.9698289,0.0016612665,0.000310471,0.0008616886,0.000011841304,0.000025912595,0.013256353,0.000035244255,0.014008412],"genre_scores_gemma":[0.9909733,0.0015175377,0.0002656277,0.00005024244,0.000009814067,0.0000070157043,0.004631169,0.000007423401,0.0025379038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915564,0.000022965698,0.000032834534,0.00007131331,0.0005646556,0.0001524866],"domain_scores_gemma":[0.99390525,0.00045014315,0.0013650154,0.00017496875,0.003492897,0.00061174727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054891146,0.0002634166,0.00032255027,0.003856162,0.0018182297,0.0023934802,0.0008388242,0.0002922325,0.0019418686],"category_scores_gemma":[0.0040406403,0.00019074368,0.00031180502,0.009445677,0.0008088243,0.0008057764,0.0008160625,0.000539716,0.0002537557],"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":[0.00019402723,0.000055079752,0.9487243,0.00012397413,0.000119090095,0.00022439762,0.0020407527,0.0021733616,0.00057075435,0.0051249745,0.00683783,0.033811502],"study_design_scores_gemma":[0.0000064154647,0.000014539452,0.9894092,0.000030741794,0.00002719902,0.000046030138,0.00090201054,0.001437698,0.00044520033,0.0003046586,0.0073536104,0.000022542587],"about_ca_topic_score_codex":0.99563307,"about_ca_topic_score_gemma":0.99617416,"teacher_disagreement_score":0.02938536,"about_ca_system_score_codex":0.02938536,"about_ca_system_score_gemma":0.022132853,"threshold_uncertainty_score":0.21320671},"labels":[],"label_agreement":null},{"id":"W3124983879","doi":"","title":"Does Trade Openness Affect the Speed of Output Convergence? Some Empirical Evidence","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Openness to experience; Convergence (economics); Econometrics; Economics; Nonparametric statistics; Kernel (algebra); Regression; Rate of convergence; Kernel regression; Mathematics; Statistics; Computer science; Macroeconomics; Psychology","score_opus":0.13861402197771255,"score_gpt":0.34187021499180054,"score_spread":0.20325619301408798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124983879","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":[0.98264736,0.0018965241,0.009935967,0.00040815235,0.00001879698,0.000011181485,0.00015624486,0.000051221945,0.004874622],"genre_scores_gemma":[0.9985342,0.00038180922,0.00073578005,0.00002215876,0.000021725195,0.000002640038,0.00011772059,0.000014158038,0.00016973037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983146,0.0007122609,0.0002275014,0.00035948746,0.0002406065,0.00014546669],"domain_scores_gemma":[0.9137545,0.0675161,0.01029243,0.005138413,0.0024490268,0.0008495909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004889425,0.00033585166,0.00081851956,0.002211375,0.00046966277,0.001622241,0.0006103535,0.0009759598,0.0043169623],"category_scores_gemma":[0.041063927,0.00029507637,0.00078304287,0.002386772,0.0020004534,0.0023360325,0.0013603664,0.0009717941,0.0005107613],"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":[0.0021957126,0.00011567305,0.8621823,0.0005977928,0.0013482901,0.00058613345,0.0020859835,0.032928847,0.003998421,0.019965151,0.00050472043,0.07349092],"study_design_scores_gemma":[0.00006216056,0.00025933995,0.93186545,0.00017928184,0.00041309668,0.0010483165,0.001975269,0.021899275,0.004918679,0.034767333,0.0025114887,0.00010034392],"about_ca_topic_score_codex":0.0011206314,"about_ca_topic_score_gemma":0.00038108643,"teacher_disagreement_score":0.004889425,"about_ca_system_score_codex":0.0002634231,"about_ca_system_score_gemma":0.00013800844,"threshold_uncertainty_score":0.025858104},"labels":[],"label_agreement":null},{"id":"W3125008775","doi":"","title":"Using Patents and Publications to Assess R&D Efﬁciency in the States of the USA","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Extant taxon; Homogeneous; China; Political science; Geography; International trade; Regional science; Business; Physics","score_opus":0.07652150040380419,"score_gpt":0.2702530076784792,"score_spread":0.19373150727467503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125008775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872749,0.00047503007,0.00014373875,0.00018297377,0.000005647422,0.0000064888454,0.00159142,0.000010480973,0.0103093395],"genre_scores_gemma":[0.9978733,0.00031853103,0.000094614494,0.00002864418,0.000009371321,0.000006659282,0.0010598338,0.0000012394321,0.00060771673],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914753,0.00019976345,0.0001197393,0.00013767551,0.00029099383,0.00010434251],"domain_scores_gemma":[0.98672444,0.0054168673,0.0047892486,0.00032041685,0.0023029107,0.00044610762],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.001368626,0.00008608681,0.00018574855,0.0061682113,0.00023316052,0.0013520754,0.00023434218,0.00021149238,0.0011582081],"category_scores_gemma":[0.0071700523,0.000093006944,0.00024244795,0.008638892,0.00049816753,0.0008395847,0.0005874094,0.00030212308,0.00025938964],"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":[0.000060493043,0.000035543715,0.9823376,0.000038511243,0.00009675182,0.00005461757,0.00041731723,0.0012511406,0.00020280815,0.0016414018,0.0011817996,0.012681926],"study_design_scores_gemma":[0.000005923064,0.00003888363,0.9940883,0.000022520222,0.0000537184,0.000054602184,0.0006161074,0.001198543,0.00034132614,0.0006583226,0.0029081395,0.000013676959],"about_ca_topic_score_codex":0.032896537,"about_ca_topic_score_gemma":0.04194556,"teacher_disagreement_score":0.99863136,"about_ca_system_score_codex":0.0012246275,"about_ca_system_score_gemma":0.0009083603,"threshold_uncertainty_score":0.06541014},"labels":[],"label_agreement":null},{"id":"W3125022272","doi":"","title":"Recent Technological and Economic Change among Industrialized Countries : Insights from Population Growth","year":2001,"lang":"en","type":"preprint","venue":"Toulouse Capitole Publications (University Toulouse 1 Capitole)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Population growth; Economics; Developed country; Population; Technological change; Developing country; Human capital; Work (physics); Development economics; Demographic economics; Economic growth; Macroeconomics; Demography","score_opus":0.049958046453481474,"score_gpt":0.20822830837483344,"score_spread":0.15827026192135196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125022272","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":[0.9910391,0.0012860865,0.0013786416,0.0007414873,0.000011355378,0.0000074184372,0.0010365075,0.000016352822,0.0044829254],"genre_scores_gemma":[0.99713576,0.0010693917,0.0003125965,0.00004455521,0.000025912006,0.00000766371,0.0008865718,0.0000036538906,0.00051383016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997228,0.00008899216,0.000017424476,0.000056283166,0.000043576583,0.00007086566],"domain_scores_gemma":[0.9973774,0.0011339897,0.00088149315,0.00020263015,0.00023821922,0.00016623658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010924996,0.00018608572,0.00030894778,0.002136402,0.00032446894,0.0009380329,0.00022605168,0.00035516964,0.0021053175],"category_scores_gemma":[0.0041524386,0.0001243817,0.00044765408,0.0032523244,0.00048435113,0.0009490371,0.0008749211,0.0006200877,0.00021412772],"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":[0.000069448404,0.00008607098,0.94088525,0.000066256245,0.00017272285,0.00047197085,0.0017642723,0.009535975,0.0003627032,0.010757759,0.0015902274,0.034237348],"study_design_scores_gemma":[0.00000778055,0.000047289206,0.98549795,0.0000317216,0.00004381084,0.00018333744,0.0010135907,0.0055707535,0.00021758866,0.0038641484,0.0035074174,0.000014648494],"about_ca_topic_score_codex":0.011724864,"about_ca_topic_score_gemma":0.007602142,"teacher_disagreement_score":0.011724864,"about_ca_system_score_codex":0.00045004694,"about_ca_system_score_gemma":0.00017381873,"threshold_uncertainty_score":0.023313224},"labels":[],"label_agreement":null},{"id":"W3125058008","doi":"","title":"Barriers to Reallocation and Economic Growth: the Effects of Firing Costs","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Productivity; Economics; Endogenous growth theory; Aggregate (composite); Growth model; General equilibrium theory; Baseline (sea); Outcome (game theory); Microeconomics; Growth theory; Industrial organization; Econometrics; Macroeconomics; Human capital; Market economy","score_opus":0.022409486776880382,"score_gpt":0.27035548179879365,"score_spread":0.24794599502191328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125058008","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":[0.9631614,0.0014797598,0.016666513,0.0013965077,0.0000465337,0.000024679684,0.00026092125,0.000043232114,0.016920466],"genre_scores_gemma":[0.9969875,0.0005092453,0.0007229619,0.000061019284,0.000025729001,0.000008465562,0.00006530164,0.00000943201,0.0016103701],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9994019,0.0001219856,0.000035790617,0.00010051348,0.00010306414,0.00023680137],"domain_scores_gemma":[0.98925143,0.0051562707,0.0038695403,0.000697506,0.0004944834,0.00053067505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001273918,0.00050641457,0.00071432407,0.0008223472,0.00055131665,0.0027970194,0.00071167777,0.0011819252,0.006299231],"category_scores_gemma":[0.009335093,0.00024278914,0.0007628738,0.0011622598,0.0012663612,0.0027761674,0.0012964377,0.0015854094,0.0005348741],"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":[0.00091617607,0.000755025,0.22208348,0.0006365126,0.00034003487,0.0010790705,0.0010446529,0.35910514,0.009983381,0.3304183,0.0028575526,0.07078073],"study_design_scores_gemma":[0.000258187,0.00048423823,0.28320774,0.00034232807,0.00042147288,0.00070611574,0.002822839,0.2247368,0.01139763,0.46250588,0.012948239,0.00016847512],"about_ca_topic_score_codex":0.007349263,"about_ca_topic_score_gemma":0.0062450543,"teacher_disagreement_score":0.007349263,"about_ca_system_score_codex":0.0016538319,"about_ca_system_score_gemma":0.0010446104,"threshold_uncertainty_score":0.021073043},"labels":[],"label_agreement":null},{"id":"W3125085477","doi":"","title":"Productivity growth and prices in Canada: what can we learn from the US experience?","year":2001,"lang":"en","type":"article","venue":"BIS Papers chapters","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Productivity; Economics; Agricultural economics; Macroeconomics","score_opus":0.022803958933840806,"score_gpt":0.18211828686039283,"score_spread":0.15931432792655204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125085477","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":[0.4022215,0.11781496,0.0007548347,0.3767323,0.0018474822,0.000048204285,0.012541551,0.00009875673,0.0879403],"genre_scores_gemma":[0.8600388,0.10565547,0.000842963,0.009905548,0.0008073889,0.000019958039,0.0029333849,0.000058006455,0.019738428],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996962,0.00016574573,0.00009347181,0.00015822386,0.0014415676,0.0011790033],"domain_scores_gemma":[0.98607105,0.0014954602,0.0010116921,0.00016339005,0.008941518,0.0023169355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020223034,0.00038683024,0.00069866003,0.0018116048,0.0041425438,0.00784608,0.0013070928,0.0020053794,0.0066965357],"category_scores_gemma":[0.013312063,0.00025083355,0.00063777115,0.012393907,0.0031962788,0.0036320605,0.0012912565,0.0039621345,0.0005957559],"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":[0.0005121626,0.00034866118,0.44682935,0.0008614498,0.00025552168,0.0010725666,0.018561957,0.0023384276,0.00031854835,0.055396814,0.21881378,0.2546907],"study_design_scores_gemma":[0.000048886297,0.00007480035,0.7412744,0.001103149,0.00018380831,0.00023472564,0.037897144,0.0012347657,0.00048719425,0.009180271,0.20807286,0.00020794389],"about_ca_topic_score_codex":0.99769765,"about_ca_topic_score_gemma":0.9984711,"teacher_disagreement_score":0.08468889,"about_ca_system_score_codex":0.08468889,"about_ca_system_score_gemma":0.17829894,"threshold_uncertainty_score":0.61446375},"labels":[],"label_agreement":null},{"id":"W3125151530","doi":"","title":"Asymmetric effects of shocks on TFP","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Total factor productivity; Quantile; Economics; Econometrics; Shock (circulatory); Unit root; Autoregressive model; Productivity; Monetary economics; Macroeconomics; Internal medicine","score_opus":0.04507581356378393,"score_gpt":0.29373487625827593,"score_spread":0.248659062694492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125151530","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":[0.96584797,0.000365433,0.024675775,0.0010077696,0.00004817387,0.00003113883,0.0009961432,0.00021819667,0.006809504],"genre_scores_gemma":[0.9989631,0.00007927273,0.00026399156,0.000040104485,0.000022104712,0.0000047010712,0.00016382983,0.000015926316,0.00044675937],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929416,0.00013150286,0.00003859145,0.00019018071,0.00014862695,0.00019691128],"domain_scores_gemma":[0.98977154,0.0050326968,0.0029880542,0.0011868984,0.0006507845,0.0003699648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019143942,0.0002881753,0.00060737046,0.0011424201,0.00027600865,0.0011450376,0.0004132001,0.00065457524,0.0055018542],"category_scores_gemma":[0.018826842,0.00017426646,0.0005333417,0.0017422537,0.00079759024,0.0011704848,0.0007885807,0.0016986431,0.0006455893],"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":[0.0012071856,0.00033388345,0.44948673,0.00031297022,0.0005548337,0.0026191885,0.0019101506,0.21128218,0.026255557,0.16687754,0.011840342,0.12731947],"study_design_scores_gemma":[0.0001078073,0.00022674435,0.58934605,0.00008134198,0.0001744864,0.0005683243,0.0007804859,0.27658415,0.010328163,0.116810046,0.004868125,0.00012429235],"about_ca_topic_score_codex":0.004134023,"about_ca_topic_score_gemma":0.0013835832,"teacher_disagreement_score":0.0055018542,"about_ca_system_score_codex":0.0008141354,"about_ca_system_score_gemma":0.00029508423,"threshold_uncertainty_score":0.018405557},"labels":[],"label_agreement":null},{"id":"W3125191999","doi":"","title":"Agricultural Distortions, Structural Change, and Economic Growth: A Cross-Country Analysis","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Agriculture; Economics; Industrialisation; Structural change; Convergence (economics); Subsistence agriculture; Per capita; Consumption (sociology); Productivity; Per capita income; Agricultural economics; Development economics; Macroeconomics; Market economy; Geography","score_opus":0.047258056279236536,"score_gpt":0.30473912161961575,"score_spread":0.25748106534037923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125191999","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":[0.9969221,0.00055224553,0.001181834,0.00021449008,0.000014296291,0.000012464976,0.00039760713,0.0000140135735,0.00069089874],"genre_scores_gemma":[0.99790144,0.00043438887,0.00038259735,0.000031195657,0.000021964443,0.000009568077,0.00077673764,0.0000065504246,0.00043552817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941087,0.00025822097,0.000029624565,0.00008819365,0.00005193911,0.0001610805],"domain_scores_gemma":[0.9940216,0.003101495,0.0013764022,0.0005630945,0.00037481595,0.0005625138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024193733,0.00046056812,0.000739966,0.0017475995,0.0005557402,0.0014964716,0.00047633855,0.0007274942,0.0029155477],"category_scores_gemma":[0.0053183213,0.00029532882,0.0015441631,0.0019439101,0.0009029188,0.0007621897,0.0014805081,0.0012356826,0.00035892427],"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":[0.000697573,0.0004646446,0.90018934,0.00008432592,0.0022517138,0.0011120667,0.00043547663,0.06765716,0.0011893307,0.007000435,0.0033095744,0.015608296],"study_design_scores_gemma":[0.0001529517,0.00044060955,0.8750038,0.00005915559,0.0011028667,0.00050249323,0.0015598038,0.11214522,0.0011456542,0.0041195517,0.0036851608,0.00008270805],"about_ca_topic_score_codex":0.02227084,"about_ca_topic_score_gemma":0.0125831,"teacher_disagreement_score":0.02227084,"about_ca_system_score_codex":0.00071456784,"about_ca_system_score_gemma":0.00044686793,"threshold_uncertainty_score":0.044282377},"labels":[],"label_agreement":null},{"id":"W3125206026","doi":"","title":"Misallocation and Productivity","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Total factor productivity; Productivity; Per capita; Economics; Production (economics); Agricultural economics; Demographic economics; Macroeconomics; Demography","score_opus":0.06025953882239956,"score_gpt":0.2874416393436975,"score_spread":0.22718210052129792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125206026","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":[0.7792246,0.035521284,0.09543376,0.009885026,0.00052845397,0.000067985195,0.0033707211,0.00047507684,0.07549305],"genre_scores_gemma":[0.98600084,0.0041581932,0.0037051307,0.00039159477,0.0002605872,0.000039367816,0.00038840415,0.00008066682,0.0049752533],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9956617,0.0012126112,0.00041725434,0.0012628513,0.000999906,0.00044580424],"domain_scores_gemma":[0.98184305,0.008087526,0.0047762413,0.003407433,0.0014408481,0.00044495097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003338914,0.0006941103,0.0011958897,0.0027561083,0.0005990709,0.0044845105,0.0007447064,0.001218094,0.0062510087],"category_scores_gemma":[0.026847832,0.00044664647,0.0006448145,0.006435641,0.0035366123,0.004576318,0.0030097454,0.0009885776,0.0021812348],"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":[0.000698534,0.00013171749,0.2982033,0.0013091031,0.0010034734,0.0012433893,0.0044793426,0.05908126,0.004878777,0.37056065,0.011871964,0.24653849],"study_design_scores_gemma":[0.0000693696,0.00011413481,0.21017273,0.00030228542,0.00016460758,0.0012341421,0.0018593458,0.014300471,0.004519734,0.7276456,0.039508153,0.00010944617],"about_ca_topic_score_codex":0.0017312075,"about_ca_topic_score_gemma":0.0007332912,"teacher_disagreement_score":0.0062510087,"about_ca_system_score_codex":0.0023807825,"about_ca_system_score_gemma":0.0008107222,"threshold_uncertainty_score":0.020911694},"labels":[],"label_agreement":null},{"id":"W3125236288","doi":"","title":"Tales From Two Neighbors; Productivity Growth in Canada and the United States","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Productivity; Investment (military); Stock (firearms); Technical change; Total factor productivity; Multifactor productivity; Economics; Economic geography; Agricultural economics; International trade; Business; Geography; Economic growth; Political science","score_opus":0.027761009593033504,"score_gpt":0.24532007803561784,"score_spread":0.21755906844258432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125236288","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":[0.796391,0.0076112114,0.0008371027,0.022266438,0.00023518929,0.000026713962,0.009278076,0.0000822255,0.16327208],"genre_scores_gemma":[0.98141575,0.0027270631,0.0002990685,0.00043416338,0.000030563042,0.000006188314,0.0016352544,0.00001439533,0.013437575],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994123,0.000035410325,0.000011492981,0.00005815027,0.00026178718,0.00022102032],"domain_scores_gemma":[0.9974426,0.00020658679,0.00022613254,0.00004500338,0.0014479005,0.00063172885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005091689,0.00020035512,0.00031151797,0.0032053827,0.0041231774,0.0031978472,0.00038060936,0.0003966164,0.0038896552],"category_scores_gemma":[0.0025182483,0.000086564665,0.00018467043,0.008262325,0.0010720806,0.0009498829,0.0008135259,0.00082466565,0.00033272288],"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":[0.00028265276,0.000082679064,0.68963397,0.00013694004,0.00013526114,0.0007298911,0.009938444,0.0038358164,0.00044425775,0.055910267,0.09206903,0.1468009],"study_design_scores_gemma":[0.000025953539,0.00003135396,0.84467727,0.00021121188,0.000114541435,0.00016739927,0.029934332,0.0027679035,0.00063802244,0.0057464205,0.115607284,0.000078337405],"about_ca_topic_score_codex":0.9919342,"about_ca_topic_score_gemma":0.9952637,"teacher_disagreement_score":0.019876756,"about_ca_system_score_codex":0.019876756,"about_ca_system_score_gemma":0.024345735,"threshold_uncertainty_score":0.14421666},"labels":[],"label_agreement":null},{"id":"W3125237644","doi":"","title":"International Comparisons of Trends in Economic Well-being","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Consumption (sociology); Poverty; Per capita; Index (typography); Unemployment; Distribution (mathematics); Goods and services; Inequality; Per capita income; Investment (military); Economic inequality; Demographic economics; Development economics; Economic growth; Economy; Population","score_opus":0.04465696062236438,"score_gpt":0.30456839600625846,"score_spread":0.25991143538389405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125237644","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":[0.8703971,0.006061296,0.0021480296,0.00077093,0.00018688454,0.000091665745,0.02597805,0.00011886426,0.09424716],"genre_scores_gemma":[0.9759285,0.0027473427,0.0012102899,0.000073078736,0.00006546826,0.00009624212,0.016959537,0.00002713316,0.002892413],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943334,0.00010287756,0.000081217855,0.00010647426,0.00012656473,0.00014954299],"domain_scores_gemma":[0.9977749,0.00033151743,0.0006885499,0.00015526015,0.0009434222,0.00010625207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001234163,0.0002702562,0.00033428465,0.0068576275,0.00027220417,0.000893069,0.00018938776,0.00013984674,0.0022697991],"category_scores_gemma":[0.0032787512,0.00008201586,0.00034494328,0.01149588,0.00024497023,0.0011252637,0.0008569297,0.0003012984,0.00031841182],"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":[0.00038512197,0.000045070705,0.8263741,0.00041358834,0.00034726755,0.00015541958,0.0030345998,0.0025342824,0.0006783498,0.009433748,0.008563018,0.14803532],"study_design_scores_gemma":[0.0000029864032,0.00004531266,0.97848207,0.00006772266,0.000030334973,0.00009020845,0.0016171704,0.00017508323,0.00021657163,0.0003859498,0.018875156,0.00001151869],"about_ca_topic_score_codex":0.0098383855,"about_ca_topic_score_gemma":0.014480649,"teacher_disagreement_score":0.0098383855,"about_ca_system_score_codex":0.0007657205,"about_ca_system_score_gemma":0.0003286607,"threshold_uncertainty_score":0.019562185},"labels":[],"label_agreement":null},{"id":"W3125252328","doi":"10.3868/s060-006-017-0011-6","title":"Structural Transformation under Trade Imbalances: The Case of the Postwar U.S.","year":2017,"lang":"en","type":"article","venue":"Frontiers of Economics in China","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Economics; Structural change; Order (exchange); Argument (complex analysis); Productivity; Homothetic transformation; Manufacturing; Work (physics); Manufacturing sector; Labour economics; Macroeconomics; Business","score_opus":0.024057186753340953,"score_gpt":0.21471526494560395,"score_spread":0.190658078192263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125252328","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":[0.98008746,0.0004552896,0.0025927832,0.00362838,0.000031585616,0.000016938355,0.0002522605,0.000056350636,0.012878865],"genre_scores_gemma":[0.9989685,0.00016817919,0.0001852782,0.00007944412,0.000015950402,0.000002930097,0.000080837526,0.0000056977524,0.00049318146],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99980444,0.000053083204,0.000005922799,0.000032149426,0.00001988897,0.00008443454],"domain_scores_gemma":[0.99959654,0.00007043939,0.00014520716,0.00006548065,0.000058728107,0.000063502586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009092981,0.0002321625,0.00036490004,0.00086296874,0.0010384679,0.0013453894,0.0004655764,0.0009101658,0.003383576],"category_scores_gemma":[0.0021002295,0.00014643827,0.0005444037,0.0016257965,0.0011926027,0.0016755331,0.00092878344,0.0011573402,0.00023615474],"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":[0.0006717675,0.0003770057,0.25596276,0.00013354106,0.0001853387,0.007214471,0.005592737,0.11613884,0.0023224233,0.51643264,0.01609778,0.0788707],"study_design_scores_gemma":[0.00016874893,0.0001979152,0.3033727,0.000102047255,0.00012970112,0.00085124775,0.007157307,0.29273045,0.0013766071,0.36884955,0.024979787,0.00008390441],"about_ca_topic_score_codex":0.050208192,"about_ca_topic_score_gemma":0.037033893,"teacher_disagreement_score":0.050208192,"about_ca_system_score_codex":0.0028468256,"about_ca_system_score_gemma":0.0008459807,"threshold_uncertainty_score":0.09983188},"labels":[],"label_agreement":null},{"id":"W3125254404","doi":"","title":"Did Globalization Drive Convergence? Identifying Cross-Country Growth Regimes in the Long Run","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Convergence (economics); Divergence (linguistics); Globalization; Economics; Per capita income; Per capita; Sample (material); Period (music); Economic geography; Contrast (vision); Cross country; Econometrics; Order (exchange); Growth model; Demographic economics; Development economics; Macroeconomics; Demography; Market economy; Physics; Sociology","score_opus":0.03927036732521701,"score_gpt":0.30792034286171655,"score_spread":0.26864997553649955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125254404","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":[0.96701515,0.0023096327,0.0044741426,0.0028585072,0.000084035746,0.00002679218,0.0010867607,0.000048909984,0.022096073],"genre_scores_gemma":[0.99638593,0.0009438869,0.0004814918,0.00007564778,0.000034935692,0.000021023565,0.00051686564,0.00001965498,0.0015206499],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99952006,0.00019641183,0.000034865065,0.00011993838,0.00003170685,0.00009693713],"domain_scores_gemma":[0.99430025,0.003114964,0.0011797741,0.00051222765,0.0003897935,0.0005029681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022150488,0.00026930502,0.0006300488,0.001411836,0.0005419664,0.0034503988,0.00038731788,0.0007304414,0.00655079],"category_scores_gemma":[0.008896761,0.00021114804,0.0006753384,0.0028506739,0.0010870089,0.0019925532,0.001527749,0.0011195056,0.0006964795],"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":[0.00045598403,0.00009820952,0.8779937,0.00025088296,0.00072518655,0.00081416813,0.002302101,0.0132415695,0.0007620698,0.03925026,0.005092913,0.059013072],"study_design_scores_gemma":[0.000038816754,0.00012529796,0.89443326,0.00038552438,0.0004349889,0.00024353474,0.007306269,0.028792791,0.00070609647,0.05924536,0.0082342485,0.000053901596],"about_ca_topic_score_codex":0.0077197975,"about_ca_topic_score_gemma":0.0053226897,"teacher_disagreement_score":0.0077197975,"about_ca_system_score_codex":0.0007822806,"about_ca_system_score_gemma":0.00074105524,"threshold_uncertainty_score":0.021914601},"labels":[],"label_agreement":null},{"id":"W3125273474","doi":"","title":"Intergenerational Transfer, Human Capital and Long-Term Growth in China Under the One Child Policy","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Human capital; Counterfactual thinking; Harm; Economics; Investment (military); Download; China; Consumption (sociology); One-child policy; Developing country; Overlapping generations model; Growth model; Labour economics; Social security; Demographic economics; Monetary economics; Economic growth; Macroeconomics; Political science; Medicine; Family planning; Psychology; Market economy","score_opus":0.011755216638649943,"score_gpt":0.20456158344082193,"score_spread":0.19280636680217197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125273474","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":[0.99050784,0.00035418913,0.001795396,0.0011535634,0.000022561077,0.000036572532,0.0003516618,0.000032797852,0.0057453844],"genre_scores_gemma":[0.99826616,0.00023551281,0.000208614,0.00003883363,0.0000053259255,0.000015888028,0.000079891055,0.0000023418154,0.0011474587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9997789,0.000048989372,0.000009931205,0.000041171832,0.000022226492,0.00009891596],"domain_scores_gemma":[0.9994499,0.00015384721,0.00021054246,0.000040038823,0.0000643446,0.00008128228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011428392,0.00050193205,0.0003561645,0.00044401686,0.0006030612,0.0011643342,0.00053303246,0.0006246289,0.0026862156],"category_scores_gemma":[0.0011220259,0.000119988785,0.0004714821,0.00072780106,0.00093392225,0.00092458376,0.0007352109,0.00048288493,0.00013261105],"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":[0.0011893692,0.0007502896,0.29462472,0.00031689813,0.0002580272,0.0038218575,0.0013679428,0.465589,0.007161024,0.15375,0.0055130566,0.06565783],"study_design_scores_gemma":[0.00049567013,0.001076684,0.37115318,0.0001309914,0.00041313964,0.0003009593,0.002093012,0.49730498,0.004627582,0.111180164,0.011090834,0.00013281118],"about_ca_topic_score_codex":0.06256847,"about_ca_topic_score_gemma":0.045332033,"teacher_disagreement_score":0.06256847,"about_ca_system_score_codex":0.0038131825,"about_ca_system_score_gemma":0.0026651667,"threshold_uncertainty_score":0.1244086},"labels":[],"label_agreement":null},{"id":"W3125283678","doi":"10.1111/caje.12078","title":"Shocks, financial dependence and efficiency: Evidence from U.S. and Canadian industries","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Total factor productivity; Economics; Productivity; Panel data; Monetary economics; Affect (linguistics); Identification (biology); Econometrics; Macroeconomics","score_opus":0.11292380301133176,"score_gpt":0.17010200856608826,"score_spread":0.0571782055547565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125283678","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":[0.9726825,0.0029533633,0.000318512,0.0009986012,0.000012440066,0.00003101328,0.008638099,0.000017386159,0.014348139],"genre_scores_gemma":[0.99216837,0.0019931938,0.00019233479,0.00010680162,0.000008913126,0.0000065652684,0.0041616233,0.000005401529,0.0013568272],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895644,0.00007585697,0.000056277793,0.00012937025,0.0004974981,0.00028444562],"domain_scores_gemma":[0.9906977,0.0013074264,0.0024469788,0.0004021588,0.004441029,0.0007047036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012098921,0.00040479493,0.00043005848,0.0038626096,0.0020800133,0.0018812875,0.00068668264,0.00036277593,0.0030773338],"category_scores_gemma":[0.007482758,0.00019918484,0.0005349108,0.0127323605,0.0009017483,0.0004883489,0.0009281252,0.0005458216,0.0002390825],"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":[0.00011200139,0.00004903615,0.9713532,0.000105923136,0.00018909511,0.00010566243,0.0012028659,0.0010433391,0.00023867803,0.0020483239,0.0041541047,0.019397823],"study_design_scores_gemma":[0.0000051573656,0.0000076778515,0.99605715,0.000038844446,0.000046439316,0.000014914681,0.0008117278,0.00031334744,0.00013088515,0.00014630049,0.0024147606,0.000012750817],"about_ca_topic_score_codex":0.993733,"about_ca_topic_score_gemma":0.99524236,"teacher_disagreement_score":0.013467224,"about_ca_system_score_codex":0.013467224,"about_ca_system_score_gemma":0.012652613,"threshold_uncertainty_score":0.09771198},"labels":[],"label_agreement":null},{"id":"W3125369431","doi":"","title":"ICT-specific technological change and productivity growth in the US 1980-2004","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Information and Communications Technology; Productivity; Technological change; Production (economics); Economics; Capital (architecture); Technical change; Industrial organization; Function (biology); Total factor productivity; Quarter (Canadian coin); Business; Economic growth; Macroeconomics; Computer science; Geography","score_opus":0.09667569412234488,"score_gpt":0.27223944508571835,"score_spread":0.17556375096337345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125369431","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":[0.9668959,0.0044222944,0.0010468069,0.002225984,0.00009860544,0.000019301873,0.016180238,0.00012787682,0.008983027],"genre_scores_gemma":[0.97886413,0.0032241482,0.00029063114,0.00017524415,0.0000629717,0.000017797644,0.012603906,0.00001643063,0.004744674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996865,0.00004074319,0.000030171317,0.00006807263,0.00008183991,0.00009268089],"domain_scores_gemma":[0.99862814,0.0003097592,0.00053687475,0.00006282844,0.00032856106,0.0001338018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005408556,0.00055231334,0.0003506309,0.0025237638,0.00028158672,0.0012166423,0.00034277153,0.0006659495,0.0017492924],"category_scores_gemma":[0.003749962,0.00018306314,0.00058005634,0.005865644,0.00043948356,0.0009685478,0.0006244634,0.0007861928,0.00062607724],"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":[0.0006322413,0.00039698972,0.83041793,0.0003329111,0.00044085764,0.00097180944,0.0012027135,0.052073054,0.0011139832,0.011852298,0.029065436,0.07149981],"study_design_scores_gemma":[0.000047874877,0.00013379879,0.94114804,0.00011493077,0.00020655956,0.00027836108,0.0009403225,0.011031744,0.0015170573,0.0039081867,0.040633302,0.000039811734],"about_ca_topic_score_codex":0.13741961,"about_ca_topic_score_gemma":0.10337896,"teacher_disagreement_score":0.13741961,"about_ca_system_score_codex":0.0037958634,"about_ca_system_score_gemma":0.0015218069,"threshold_uncertainty_score":0.2732395},"labels":[],"label_agreement":null},{"id":"W3125389913","doi":"","title":"Regional integration and technology diffusion : the case of the North America free trade agreement","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Free trade agreement; Productivity; Convergence (economics); Economics; International economics; Total factor productivity; Economic integration; International trade; Trade barrier; Politics; Free trade; Political science; Macroeconomics","score_opus":0.03620262703315941,"score_gpt":0.2571463436175358,"score_spread":0.2209437165843764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125389913","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":[0.58318144,0.0030794574,0.0038678497,0.012032668,0.00007092583,0.000053620657,0.00008362151,0.000032981374,0.39759743],"genre_scores_gemma":[0.9888604,0.0010055788,0.0005223834,0.0003948288,0.000037863512,0.000027802478,0.000027461909,0.0000076354445,0.00911613],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99840754,0.0004867963,0.000045930217,0.00022815008,0.00024730907,0.00058421463],"domain_scores_gemma":[0.9971143,0.0012988459,0.0007771552,0.00017671363,0.0003239396,0.00030912686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002627401,0.00031155837,0.0006257405,0.0016603036,0.0048572975,0.006293649,0.0008949413,0.002821715,0.008457359],"category_scores_gemma":[0.005609675,0.00026216358,0.0010461006,0.0028107024,0.005253125,0.0052348124,0.0055432343,0.0028800278,0.00033237826],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112417045,0.00011672079,0.008608413,0.00007460675,0.000055989625,0.0015474588,0.005890005,0.007834306,0.00039938252,0.95856756,0.0025661022,0.014227066],"study_design_scores_gemma":[0.00073411776,0.0002709375,0.07106499,0.00057670556,0.0005149754,0.0019167968,0.04234328,0.034334823,0.0018131951,0.65398407,0.19221008,0.00023600015],"about_ca_topic_score_codex":0.077899784,"about_ca_topic_score_gemma":0.05196324,"teacher_disagreement_score":0.9221002,"about_ca_system_score_codex":0.008584358,"about_ca_system_score_gemma":0.0034088872,"threshold_uncertainty_score":0.15489274},"labels":[],"label_agreement":null},{"id":"W3125413607","doi":"10.2139/ssrn.1762388","title":"Competition and Innovation: The Inverted-U Relationship Revisited","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"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 Calgary","funders":"","keywords":"Competition (biology); Economic geography; Business; Economics; Biology","score_opus":0.05114324731979958,"score_gpt":0.2118052188111949,"score_spread":0.16066197149139533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125413607","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":[0.5565875,0.033059876,0.115327515,0.08805019,0.002066998,0.00026923834,0.0026076334,0.0011907868,0.20084026],"genre_scores_gemma":[0.9767429,0.0059225103,0.006086099,0.0038129173,0.0009563033,0.00007926683,0.0002109036,0.00007982729,0.0061092637],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973176,0.0010345307,0.00015564133,0.00065422955,0.00047880274,0.000359279],"domain_scores_gemma":[0.9404813,0.04928977,0.004041597,0.0022104892,0.0027903018,0.0011864817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007127659,0.0006012196,0.0030337812,0.0030263471,0.0014751091,0.0050837668,0.0030345155,0.0043097315,0.02479129],"category_scores_gemma":[0.064152546,0.0005566152,0.0014768542,0.0057604243,0.0055115656,0.010493784,0.0021941306,0.0038327805,0.0021693902],"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":[0.0005301754,0.0002599882,0.028330123,0.00056194287,0.00036419992,0.001226195,0.0010453672,0.0045530787,0.0006171114,0.8062145,0.022679469,0.13361791],"study_design_scores_gemma":[0.0001952286,0.00018401981,0.014155733,0.0002313304,0.00015658047,0.00081085786,0.0012180896,0.022504898,0.00031607813,0.95389426,0.0062567573,0.00007624117],"about_ca_topic_score_codex":0.013445089,"about_ca_topic_score_gemma":0.008527764,"teacher_disagreement_score":0.02479129,"about_ca_system_score_codex":0.0016800002,"about_ca_system_score_gemma":0.0023751424,"threshold_uncertainty_score":0.082935154},"labels":[],"label_agreement":null},{"id":"W3125443728","doi":"10.1111/j.0008-4085.2006.00349.x","title":"Common trends and common cycles in Canada: who knew so much has been going on?","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Economics; Point (geometry); Econometrics; Macroeconomics; Economic geography; Mathematics","score_opus":0.09602178891296237,"score_gpt":0.17210600060282985,"score_spread":0.07608421168986748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125443728","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":[0.57536066,0.06615008,0.011551577,0.1229419,0.0006963274,0.000121089106,0.027391491,0.00029900938,0.1954879],"genre_scores_gemma":[0.96266735,0.015649144,0.0017160309,0.0014862777,0.00011259701,0.000015508296,0.0026718832,0.00005320304,0.0156281],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990381,0.00006605227,0.000034782086,0.00016373512,0.00038026666,0.00031706088],"domain_scores_gemma":[0.99493223,0.00052562327,0.0005889902,0.00015816622,0.0032080205,0.0005869627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001181179,0.0003414513,0.00061694987,0.0031960132,0.003394547,0.004655523,0.00085395336,0.0006107576,0.007001246],"category_scores_gemma":[0.008143194,0.00017611866,0.0004439978,0.009781618,0.002530152,0.0021048647,0.00095826807,0.001177643,0.0003172407],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033346817,0.00004180929,0.28532463,0.00080793136,0.00030219444,0.0007570743,0.009324523,0.012201707,0.00054069574,0.32610744,0.118940115,0.24531835],"study_design_scores_gemma":[0.000041283973,0.000034827935,0.5682153,0.0013333589,0.00029336417,0.00023485228,0.0127829565,0.020167517,0.0008887898,0.09408269,0.30165744,0.0002675861],"about_ca_topic_score_codex":0.99710613,"about_ca_topic_score_gemma":0.99662507,"teacher_disagreement_score":0.91977775,"about_ca_system_score_codex":0.08022222,"about_ca_system_score_gemma":0.07690263,"threshold_uncertainty_score":0.5820557},"labels":[],"label_agreement":null},{"id":"W3125488902","doi":"","title":"Drift and Breaks in Labour Productivity","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Productivity; Econometrics; Percentage point; Estimator; Quarter (Canadian coin); Monte Carlo method; Statistics; Mathematics; Macroeconomics; Geography","score_opus":0.03274643498919998,"score_gpt":0.26824505936546567,"score_spread":0.23549862437626568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125488902","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":[0.9130594,0.0011032367,0.08063848,0.00043119933,0.000096513264,0.00010456332,0.001159717,0.00014656386,0.0032602146],"genre_scores_gemma":[0.99109733,0.0001520086,0.006812156,0.000052135783,0.000043936532,0.00006882816,0.00081070396,0.000020874002,0.0009419931],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99394387,0.0022732762,0.0005269779,0.0015254924,0.0011643614,0.0005658966],"domain_scores_gemma":[0.9421607,0.033734903,0.016230067,0.005411199,0.0016205953,0.0008425156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01979896,0.000562715,0.0013629684,0.0024929282,0.00081563095,0.0019044455,0.0016621501,0.0014295937,0.004391054],"category_scores_gemma":[0.07288342,0.00029827136,0.001738684,0.0027284303,0.0014056232,0.0022170024,0.001847279,0.0020262145,0.000528974],"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":[0.00096075196,0.00024551206,0.80699974,0.00020261537,0.0016236434,0.00071396347,0.0019452401,0.032949,0.0022386683,0.04090584,0.0018803688,0.10933472],"study_design_scores_gemma":[0.00015106866,0.0008969503,0.7185996,0.00013962961,0.00038689858,0.0006027154,0.0012039884,0.17819028,0.0037314189,0.09192125,0.004003301,0.00017281613],"about_ca_topic_score_codex":0.003331073,"about_ca_topic_score_gemma":0.0023733308,"teacher_disagreement_score":0.01979896,"about_ca_system_score_codex":0.0009201259,"about_ca_system_score_gemma":0.00043337344,"threshold_uncertainty_score":0.104708195},"labels":[],"label_agreement":null},{"id":"W3125548229","doi":"","title":"Divergence, convergence, and the history-augmented Solow model","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The King's University","funders":"Universität Hohenheim","keywords":"Divergence (linguistics); Convergence (economics); Economics; Econometrics; Growth model; Dispersion (optics); Keynesian economics; Macroeconomics; Physics","score_opus":0.07237121045866969,"score_gpt":0.2771564306717945,"score_spread":0.20478522021312484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125548229","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":[0.8215891,0.00095969246,0.14378901,0.0036455737,0.000116486815,0.00006167505,0.0010246291,0.0003560703,0.028457712],"genre_scores_gemma":[0.99117273,0.00023292746,0.0033350224,0.00009159567,0.000040252376,0.00003583529,0.00028218003,0.000048615624,0.004760803],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99944335,0.0002073594,0.00003350967,0.00010914168,0.0000880282,0.000118589276],"domain_scores_gemma":[0.9965868,0.0015427922,0.0008838868,0.00028517103,0.00029437657,0.00040700476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024633587,0.0005181328,0.0011655045,0.0014815638,0.00081355113,0.0022218346,0.0015270176,0.0011578475,0.008562992],"category_scores_gemma":[0.011840667,0.00029169803,0.0006907561,0.0014043788,0.001975698,0.0037195825,0.0025206006,0.0014147392,0.00060795946],"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":[0.00035708817,0.00010319085,0.02059563,0.00012498221,0.00013064004,0.00058119855,0.001041679,0.24859844,0.00067724084,0.70128876,0.003863816,0.022637362],"study_design_scores_gemma":[0.00008011379,0.00007625165,0.0041260975,0.00003580929,0.000026474867,0.00009648254,0.00036234164,0.36242342,0.00019254127,0.6300775,0.002460111,0.000042793006],"about_ca_topic_score_codex":0.0066930223,"about_ca_topic_score_gemma":0.0030319588,"teacher_disagreement_score":0.008562992,"about_ca_system_score_codex":0.0010810785,"about_ca_system_score_gemma":0.0008255946,"threshold_uncertainty_score":0.028646052},"labels":[],"label_agreement":null},{"id":"W3125557900","doi":"10.3386/w9104","title":"R&amp;D, Implementation and Stagnation: A Schumpeterian Theory of Convergence Clubs","year":2002,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":213,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Convergence (economics); Economics; Economic stagnation; Mathematical economics; Neoclassical economics; Mathematics; Macroeconomics; Political science","score_opus":0.48718859344889853,"score_gpt":0.48577231712279634,"score_spread":0.001416276326102195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125557900","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":[0.24183369,0.0024049187,0.29431707,0.015604435,0.0002839637,0.00034223907,0.00046679226,0.00044991542,0.444297],"genre_scores_gemma":[0.9539859,0.001245193,0.017470594,0.0004339662,0.00026244106,0.00034651934,0.00013631789,0.000073222094,0.026045896],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99730957,0.001017996,0.00011265765,0.00033545878,0.00076372206,0.00046060616],"domain_scores_gemma":[0.99099535,0.0032312952,0.0014703135,0.00095579185,0.0019303364,0.0014169726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045332643,0.00043616618,0.000995331,0.004639575,0.003831242,0.0062651145,0.0017387957,0.0017566059,0.013798214],"category_scores_gemma":[0.018294236,0.00035920256,0.0011990299,0.0031998998,0.0073183747,0.008562479,0.0055014393,0.0020796203,0.0020666942],"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":[0.000019947587,0.000026321703,0.0011847687,0.000021136693,0.000005828455,0.000075213946,0.00039817503,0.0025353006,0.000053778625,0.9853124,0.0015821846,0.008784967],"study_design_scores_gemma":[0.000034292083,0.000033278637,0.0008935325,0.000035825007,0.0000062807453,0.000082088925,0.0002715335,0.015243885,0.000097052776,0.9753287,0.007961076,0.000012416429],"about_ca_topic_score_codex":0.0026312273,"about_ca_topic_score_gemma":0.0013337485,"teacher_disagreement_score":0.013798214,"about_ca_system_score_codex":0.0035340704,"about_ca_system_score_gemma":0.0027701303,"threshold_uncertainty_score":0.046159625},"labels":[],"label_agreement":null},{"id":"W3125622290","doi":"10.1111/poms.12254","title":"When Gray is Good: Gray Markets and Market‐Creating Investments <sup/>","year":2014,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Grey market; Emerging markets; Incentive; Industrial organization; Product market; Gray (unit); Economics; Spillover effect; Business; Factor market; Market economy; Microeconomics; Finance","score_opus":0.016397173813585127,"score_gpt":0.2019034201065618,"score_spread":0.18550624629297666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125622290","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":[0.78047395,0.0049298187,0.023186442,0.038181618,0.00023574718,0.000064814594,0.0005038447,0.00012350814,0.15230031],"genre_scores_gemma":[0.9974425,0.00033947613,0.00053229067,0.00039535877,0.00003262573,0.000008448129,0.000018643002,0.000006288243,0.0012244531],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995987,0.000108997614,0.000019433806,0.000068542955,0.000055892153,0.00014850714],"domain_scores_gemma":[0.99555224,0.002131556,0.0016023997,0.0001851521,0.00017399534,0.00035469618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010336732,0.00016609326,0.00031746004,0.00042973805,0.0006469446,0.004026557,0.00048703403,0.0013517869,0.013203044],"category_scores_gemma":[0.006148372,0.00016991468,0.00025861917,0.0004905959,0.0035326856,0.005773397,0.0013816594,0.001239617,0.00041484844],"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":[0.00036582403,0.00015048134,0.027164996,0.00018783711,0.00006340509,0.0015544986,0.0018851628,0.004239489,0.0017383693,0.9083947,0.010996639,0.04325858],"study_design_scores_gemma":[0.000038009362,0.000072213625,0.030635843,0.00019398211,0.000071229704,0.00034456496,0.006022826,0.009992079,0.0021872306,0.9293466,0.021040354,0.000055110442],"about_ca_topic_score_codex":0.0045191958,"about_ca_topic_score_gemma":0.0061954,"teacher_disagreement_score":0.013203044,"about_ca_system_score_codex":0.0022994112,"about_ca_system_score_gemma":0.0008588675,"threshold_uncertainty_score":0.04416859},"labels":[],"label_agreement":null},{"id":"W3125631572","doi":"","title":"The Kindergarten Rule of Sustainable Growth","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Simplicity; Simple (philosophy); Path (computing); Quality (philosophy); Sustainable growth rate; Sustainable development; Zero (linguistics); Environmental quality; Computer science; Environmental economics; Economics; Political science; Epistemology","score_opus":0.008034001019912836,"score_gpt":0.18121326930679132,"score_spread":0.1731792682868785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125631572","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":[0.7085617,0.0008509176,0.098316744,0.0057169273,0.00016452913,0.00008879415,0.0006296842,0.0002852229,0.18538554],"genre_scores_gemma":[0.9934331,0.00016510377,0.002070483,0.00021889806,0.000016171507,0.000016227525,0.00008447864,0.000010282196,0.003985113],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99907696,0.00022696103,0.0000587704,0.00022723891,0.0001798206,0.00023026181],"domain_scores_gemma":[0.99740726,0.0007775474,0.00070252887,0.00039132865,0.00051735,0.0002039577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010027899,0.00034270124,0.00053964474,0.00035601293,0.00055375474,0.0025636968,0.00061697245,0.00081939274,0.0053150128],"category_scores_gemma":[0.0052334196,0.00013883681,0.00034028606,0.00048589794,0.0020802983,0.0016156029,0.0014844864,0.001274228,0.0007535862],"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":[0.00013179755,0.00008578243,0.021271266,0.00011638394,0.000054659235,0.0005508617,0.00036570232,0.07072471,0.0012563989,0.8635718,0.0059804004,0.035890177],"study_design_scores_gemma":[0.000068073474,0.000103759674,0.017262723,0.000073626186,0.000032666743,0.0004179633,0.0006785842,0.055279817,0.0025704498,0.9140707,0.00939889,0.00004278764],"about_ca_topic_score_codex":0.00930249,"about_ca_topic_score_gemma":0.0062725144,"teacher_disagreement_score":0.00930249,"about_ca_system_score_codex":0.0013298797,"about_ca_system_score_gemma":0.0012092907,"threshold_uncertainty_score":0.018496692},"labels":[],"label_agreement":null},{"id":"W3125646697","doi":"10.1080/13504851.2014.909567","title":"Predicting R&amp;D investment with<i>ex</i><i>ante</i>productivity","year":2014,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Fisher Center for Alzheimer's Research Foundation","keywords":"Productivity; Ex-ante; Frontier; Economics; Investment (military); Data envelopment analysis; Quarter (Canadian coin); Construct (python library); Econometrics; Production–possibility frontier; Total factor productivity; Macroeconomics; Statistics; Geography; Mathematics","score_opus":0.017100264049796407,"score_gpt":0.16843878472459073,"score_spread":0.1513385206747943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125646697","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":[0.98824745,0.00022380977,0.005600877,0.00043452432,0.000009220473,0.00001040483,0.0014507562,0.000055107783,0.0039679026],"genre_scores_gemma":[0.9974605,0.00010473061,0.0008057668,0.000018963152,0.000010624387,0.00000429749,0.0008319763,0.0000044939916,0.0007587308],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960047,0.00011721693,0.00003901893,0.000074473515,0.000086763,0.00008213153],"domain_scores_gemma":[0.9914123,0.004521082,0.0026732043,0.0005108487,0.00042284135,0.00045964832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091823906,0.00028367963,0.00017427726,0.00086987956,0.00011937002,0.0010258836,0.00023087645,0.0006413052,0.0029776106],"category_scores_gemma":[0.010722743,0.00015444346,0.00031944318,0.0010370826,0.00031771045,0.00066892867,0.0005720712,0.0005864017,0.0015507465],"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":[0.00005909065,0.000060842674,0.96135503,0.000016732947,0.00003468394,0.000074491916,0.00002427725,0.029130418,0.00047054866,0.0010835781,0.00054543104,0.0071449084],"study_design_scores_gemma":[0.000023477089,0.00016470588,0.89246565,0.000028368864,0.000042850534,0.00021673068,0.00031489952,0.094481565,0.0044646324,0.0046984884,0.003077899,0.000020691663],"about_ca_topic_score_codex":0.0025760257,"about_ca_topic_score_gemma":0.0019597057,"teacher_disagreement_score":0.0029776106,"about_ca_system_score_codex":0.00045815393,"about_ca_system_score_gemma":0.00032543647,"threshold_uncertainty_score":0.009961069},"labels":[],"label_agreement":null},{"id":"W3125663289","doi":"","title":"The Response of Hours to a Technology Shock: a Two-Step Structural VAR Approach","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Shock (circulatory); Technology shock; Econometrics; Two step; Specification; Economics; Mathematics; Macroeconomics; Monetary policy; Applied mathematics; Dynamic stochastic general equilibrium; Medicine","score_opus":0.03933470176879356,"score_gpt":0.29979447704773876,"score_spread":0.2604597752789452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125663289","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":[0.24713111,0.00037011394,0.743664,0.0012605957,0.00013354493,0.00020879335,0.00095303706,0.00065470603,0.0056241197],"genre_scores_gemma":[0.93698496,0.0004167728,0.049433384,0.00030014152,0.00015678468,0.0002941452,0.0015457765,0.00012205001,0.010745991],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992465,0.0003624745,0.000028432381,0.00015900166,0.000106478015,0.000097076176],"domain_scores_gemma":[0.99644023,0.0027485893,0.00024052263,0.0002124162,0.0002626056,0.00009560297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020037729,0.0008808815,0.001191074,0.0010128504,0.00027251008,0.0011453185,0.0017024041,0.0017055918,0.0047551747],"category_scores_gemma":[0.006834511,0.00075182883,0.0015418504,0.00077497074,0.00048797968,0.00086196774,0.0015110313,0.0018135787,0.00087873294],"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":[0.00020824319,0.00015626843,0.0070791105,0.00011255915,0.00032577745,0.00023383084,0.000147457,0.9458874,0.002730141,0.02386934,0.0010523865,0.018197501],"study_design_scores_gemma":[0.000022881539,0.00006483482,0.001679981,0.000007941051,0.00003286452,0.000017792054,0.000020719272,0.9913918,0.00039279665,0.0060420106,0.00030709372,0.000019390809],"about_ca_topic_score_codex":0.0041894866,"about_ca_topic_score_gemma":0.003056227,"teacher_disagreement_score":0.0047551747,"about_ca_system_score_codex":0.00048919895,"about_ca_system_score_gemma":0.00061402674,"threshold_uncertainty_score":0.015907645},"labels":[],"label_agreement":null},{"id":"W3125667248","doi":"","title":"Normalized CES Supply Systems: Replication of Klump, McAdam, and Willman (2007)","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Spurious relationship; Econometrics; Unitary state; Replication (statistics); Economics; Parametric statistics; Homogeneity (statistics); Mathematical economics; Logarithm; Mathematics; Computer science; Statistics; Political science; Law","score_opus":0.041346405297007685,"score_gpt":0.285194074383302,"score_spread":0.24384766908629435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125667248","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"reproducibility","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"reproducibility","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06629356,0.0028301878,0.7550027,0.012108523,0.0016004948,0.00075334724,0.008473501,0.00090329745,0.1520344],"genre_scores_gemma":[0.66146165,0.004117057,0.2785733,0.001953792,0.00078988035,0.0015978024,0.00494991,0.0007335154,0.045822985],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99313015,0.003429705,0.00041203055,0.0010556999,0.0017613977,0.00021107573],"domain_scores_gemma":[0.98263943,0.006603168,0.0015681199,0.0042456575,0.0046502305,0.0002933781],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0087011615,0.0007709284,0.0011758668,0.0031932797,0.0011303126,0.0051311213,0.0021135118,0.0011753304,0.018000945],"category_scores_gemma":[0.049729157,0.00044464332,0.0015739009,0.006891971,0.0020990167,0.006158228,0.0028833533,0.0026212104,0.0033014354],"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":[0.000059233185,0.000053268475,0.0039607654,0.00022955747,0.00008183181,0.0001487907,0.0010562318,0.006613535,0.00027644666,0.9167159,0.013833279,0.05697119],"study_design_scores_gemma":[0.00009455277,0.000116894014,0.006796622,0.00014867098,0.00010528607,0.00044656047,0.0010890858,0.04497982,0.0015707759,0.7782998,0.16622786,0.00012405292],"about_ca_topic_score_codex":0.010327124,"about_ca_topic_score_gemma":0.0073388168,"teacher_disagreement_score":0.99129885,"about_ca_system_score_codex":0.0025008484,"about_ca_system_score_gemma":0.0031829008,"threshold_uncertainty_score":0.06021911},"labels":[],"label_agreement":null},{"id":"W3125780345","doi":"","title":"North-South Technology Spillovers: The Relative Impact of Openness and Foreign R&D","year":2008,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Openness to experience; Economic geography; International trade; International economics; Economics; Political science; Business; Psychology; Social psychology","score_opus":0.01948326566041549,"score_gpt":0.21950456950435393,"score_spread":0.20002130384393843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125780345","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":[0.9318698,0.004387434,0.0094412165,0.0012641035,0.000044538214,0.0000199452,0.0003233146,0.000054891872,0.052594885],"genre_scores_gemma":[0.996067,0.0015816877,0.0006608141,0.00007769978,0.000044145345,0.000005532947,0.00007990161,0.000009617191,0.0014735892],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996896,0.00007984064,0.000014351476,0.000067447196,0.0000657077,0.000083139035],"domain_scores_gemma":[0.9957001,0.002946672,0.00065574085,0.00016283624,0.00019027393,0.00034428507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009336206,0.00036955476,0.00056656566,0.0016836935,0.0003751016,0.0015991763,0.00017702038,0.0004320296,0.006199156],"category_scores_gemma":[0.0044465917,0.00012875679,0.00070554373,0.0014924181,0.0010218711,0.001529983,0.0017398429,0.0006135538,0.0004250106],"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":[0.0026403526,0.00023790676,0.41433302,0.0014439295,0.001021636,0.004109396,0.0021607035,0.10495399,0.03784815,0.24914251,0.002688106,0.17942029],"study_design_scores_gemma":[0.00022461523,0.0004128152,0.6977614,0.00046929068,0.0013440822,0.0028710307,0.0032693655,0.039212063,0.021185221,0.21374136,0.019382237,0.0001263651],"about_ca_topic_score_codex":0.0024818988,"about_ca_topic_score_gemma":0.0017088335,"teacher_disagreement_score":0.006199156,"about_ca_system_score_codex":0.0005739754,"about_ca_system_score_gemma":0.00046966365,"threshold_uncertainty_score":0.020738244},"labels":[],"label_agreement":null},{"id":"W3125804869","doi":"","title":"Measuring Our Ignorance, One Book at a Time: New Indicators of Technological Change, 1909-1949","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Technological change; Slowdown; Productivity; Great Depression; Ignorance; Economics; Economic geography; Political science; Macroeconomics; Economic growth; Law","score_opus":0.09275663122364762,"score_gpt":0.2770574077329452,"score_spread":0.18430077650929755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125804869","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":[0.6118795,0.041951053,0.012327311,0.013739482,0.0017738553,0.00008005788,0.069632135,0.0003394505,0.24827717],"genre_scores_gemma":[0.9343764,0.018656729,0.007804192,0.0004967366,0.0010861051,0.00007170872,0.020718709,0.000089946734,0.01669943],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994831,0.00010417319,0.00006981216,0.00005846245,0.00024075423,0.00004362667],"domain_scores_gemma":[0.9958177,0.0015303555,0.0010679341,0.000266609,0.00109633,0.00022116788],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00085428817,0.0002849819,0.00028572787,0.005171846,0.00034883732,0.0020863824,0.00023225194,0.0002721367,0.0028226639],"category_scores_gemma":[0.0068246955,0.00013575437,0.00017551279,0.010050926,0.00067699386,0.0021207752,0.00074585126,0.00093027577,0.0007626543],"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":[0.00017144026,0.00008088092,0.48090997,0.0006356182,0.00024131594,0.0001551545,0.0057376144,0.0048340787,0.00092114246,0.049384322,0.14076884,0.31615967],"study_design_scores_gemma":[0.000015120898,0.0000807063,0.72992504,0.0004139694,0.00009835214,0.0001873395,0.0023708958,0.0018526299,0.001236626,0.015795952,0.24795026,0.000073123265],"about_ca_topic_score_codex":0.0110168075,"about_ca_topic_score_gemma":0.018712286,"teacher_disagreement_score":0.99482816,"about_ca_system_score_codex":0.0010733948,"about_ca_system_score_gemma":0.00060873496,"threshold_uncertainty_score":0.021905363},"labels":[],"label_agreement":null},{"id":"W3125813900","doi":"","title":"Rising R&D Intensity and Economic Growth","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Economics; R&D intensity; Endogenous growth theory; Per capita; Competition (biology); Real gross domestic product; Government (linguistics); Monetary economics; Macroeconomics; Market economy; Human capital","score_opus":0.042563673948023295,"score_gpt":0.2758257795277034,"score_spread":0.23326210557968008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125813900","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":[0.80430466,0.010995888,0.01573917,0.010776275,0.00011549094,0.000049748927,0.001354644,0.0002417482,0.15642238],"genre_scores_gemma":[0.9893784,0.0040534125,0.0010390504,0.00027904817,0.000116828545,0.000014794895,0.00031028144,0.000017818737,0.0047902763],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995658,0.00007711017,0.000028139404,0.00010833453,0.00010307377,0.00011759803],"domain_scores_gemma":[0.9974286,0.00070584606,0.00115787,0.00015320242,0.00026850504,0.0002859459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065036415,0.0002859857,0.00032444793,0.0011478984,0.00044968564,0.0023250752,0.00035096216,0.0010556419,0.004511913],"category_scores_gemma":[0.003730701,0.000171318,0.00044046558,0.0022543373,0.0011704564,0.0017910354,0.0012417028,0.00096784777,0.0011083806],"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":[0.00028082478,0.0003011055,0.27495375,0.00048885227,0.00018964027,0.0009385659,0.0016708449,0.03383578,0.004297793,0.5133088,0.012231288,0.15750274],"study_design_scores_gemma":[0.00008385593,0.0002563626,0.38345897,0.00028948495,0.00012228702,0.0011416561,0.0019003755,0.029775674,0.0033700268,0.4699816,0.109507225,0.000112367874],"about_ca_topic_score_codex":0.0030322196,"about_ca_topic_score_gemma":0.0017406398,"teacher_disagreement_score":0.004511913,"about_ca_system_score_codex":0.0013884665,"about_ca_system_score_gemma":0.0005549105,"threshold_uncertainty_score":0.015093863},"labels":[],"label_agreement":null},{"id":"W3125837788","doi":"","title":"Market Expansion and Productivity Growth: Do New Domestic Markets Matter As Much As New International Markets?","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; International market; Order (exchange); Domestic market; Emerging markets; Business; International economics; Monetary economics; Economics; International trade; Market economy; Macroeconomics; Finance","score_opus":0.031002677133579588,"score_gpt":0.2833133376278969,"score_spread":0.25231066049431733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125837788","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":[0.8998408,0.021208137,0.0036752995,0.030701043,0.00022569842,0.000022762906,0.00046453177,0.00003827942,0.04382356],"genre_scores_gemma":[0.9931839,0.0038197348,0.00021926787,0.0005716961,0.00039522944,0.000005851957,0.000112121874,0.000010500815,0.0016816935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996031,0.00010132907,0.000017580498,0.000098530465,0.0000614412,0.00011788607],"domain_scores_gemma":[0.9921646,0.003060439,0.0028462324,0.0002686478,0.00039906322,0.0012610299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011291822,0.000375169,0.0006256456,0.0008793498,0.0004796791,0.0028364612,0.0003485561,0.0012116844,0.0074640764],"category_scores_gemma":[0.0076825274,0.00011995848,0.0003759735,0.0016603076,0.0021344004,0.004487281,0.001216822,0.0012573046,0.00065622304],"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":[0.00075462606,0.00041899725,0.7250933,0.0004934443,0.00038383005,0.0008670416,0.001938825,0.0039200424,0.0025292386,0.09745577,0.008859542,0.15728536],"study_design_scores_gemma":[0.0000892974,0.00024375037,0.83990186,0.00024702237,0.00026880132,0.00032020194,0.004331008,0.004004649,0.0011324041,0.134603,0.01480925,0.00004876654],"about_ca_topic_score_codex":0.002037273,"about_ca_topic_score_gemma":0.0018111444,"teacher_disagreement_score":0.0074640764,"about_ca_system_score_codex":0.0005580112,"about_ca_system_score_gemma":0.0005944978,"threshold_uncertainty_score":0.024969816},"labels":[],"label_agreement":null},{"id":"W3125858383","doi":"","title":"Intangible Capital and Productivity Growth in Canada","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Comparability; Depreciation (economics); National accounts; Productivity; Economics; Growth accounting; Order (exchange); Capital (architecture); Investment (military); Gross domestic product; Capital Consumption Allowance; National Income and Product Accounts; Stock (firearms); Fixed capital; Macroeconomics; Total factor productivity; Capital formation; Human capital; Finance; Economic growth; Engineering; Geography; Financial capital","score_opus":0.03427252138823975,"score_gpt":0.24562932086963782,"score_spread":0.21135679948139807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125858383","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":[0.71284753,0.015598656,0.0012610639,0.016793549,0.00042340776,0.00018438208,0.061791297,0.00037990604,0.19072019],"genre_scores_gemma":[0.9423557,0.006714606,0.00097142946,0.00036293658,0.000037233134,0.00003350907,0.010200109,0.000054957985,0.039269645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99821234,0.00004703395,0.00006668782,0.00014494856,0.00075871823,0.0007702872],"domain_scores_gemma":[0.99316686,0.00036338225,0.00043672795,0.0001064854,0.0045584957,0.0013680203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084941357,0.00048164488,0.0006273716,0.0058081825,0.0050901934,0.0041450053,0.0014575453,0.0005024799,0.0091384305],"category_scores_gemma":[0.004479989,0.00026322855,0.0006442521,0.0151587855,0.0010726536,0.0010945054,0.0016148431,0.0015332015,0.000822082],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003782193,0.00023986622,0.63496226,0.0005641589,0.00021392523,0.0010176197,0.0069320505,0.0072889496,0.00054432655,0.07960276,0.1193492,0.14890663],"study_design_scores_gemma":[0.000037044916,0.000043245054,0.8902044,0.00042153543,0.000070430215,0.00014870458,0.006825827,0.0070902207,0.00042011292,0.0031383864,0.091487624,0.000112450194],"about_ca_topic_score_codex":0.99924976,"about_ca_topic_score_gemma":0.99935466,"teacher_disagreement_score":0.14313367,"about_ca_system_score_codex":0.14313367,"about_ca_system_score_gemma":0.16007078,"threshold_uncertainty_score":0.9938435},"labels":[],"label_agreement":null},{"id":"W3125883787","doi":"","title":"La productivite du Canada de 1961 a 2008 : mise a jour des tendances a long terme","year":2009,"lang":"fr","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Political science; Economics","score_opus":0.00787551408672976,"score_gpt":0.18591576088214393,"score_spread":0.17804024679541416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125883787","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":[0.8564372,0.029066456,0.0012152735,0.009058848,0.00059591664,0.000048260437,0.06590814,0.00022813938,0.03744172],"genre_scores_gemma":[0.92831933,0.014462831,0.001593091,0.0003325133,0.00037093583,0.00003919326,0.012475531,0.000065498105,0.042341042],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986767,0.00006735977,0.00007296425,0.0002011818,0.00068679714,0.00029489913],"domain_scores_gemma":[0.9935974,0.0007082365,0.0009853869,0.00012581873,0.0036118836,0.00097125646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010562637,0.0007355658,0.0005896105,0.0038584194,0.0022383535,0.0043402202,0.0007326336,0.0008620371,0.0047109136],"category_scores_gemma":[0.0040240604,0.00035317082,0.0006062421,0.009589265,0.0013089522,0.001364004,0.00076506514,0.002338233,0.0007972],"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":[0.001589011,0.00022614088,0.7445348,0.0009133037,0.0007439401,0.0011323171,0.0115230195,0.0062085576,0.002211809,0.018824082,0.06109341,0.15099965],"study_design_scores_gemma":[0.000024794697,0.000047695223,0.88237625,0.00020500133,0.00004668929,0.000117447846,0.0025396717,0.0008503117,0.00083408784,0.00030772525,0.11256275,0.000087608234],"about_ca_topic_score_codex":0.99174035,"about_ca_topic_score_gemma":0.9901918,"teacher_disagreement_score":0.04415561,"about_ca_system_score_codex":0.04415561,"about_ca_system_score_gemma":0.037430346,"threshold_uncertainty_score":0.32037288},"labels":[],"label_agreement":null},{"id":"W3125889145","doi":"","title":"North-South Trade-related Technology Diffusion, Brain Drain and Productivity Growth: Are Small States Different?","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Productivity; Brain drain; Context (archaeology); Diffusion; Economics; Developing country; Total factor productivity; International trade; International economics; Economic geography; Development economics; Geography; Economic growth; Physics","score_opus":0.027134943242015184,"score_gpt":0.23726648499468891,"score_spread":0.21013154175267373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125889145","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":[0.939311,0.0024349783,0.001135949,0.011611808,0.00004658048,0.000009511769,0.00032337656,0.000012951694,0.045113742],"genre_scores_gemma":[0.9967487,0.0012670888,0.00018299873,0.0004753276,0.00001980811,0.0000065773415,0.00007673923,0.0000040147784,0.0012187344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997192,0.00008957441,0.00001341645,0.00006121379,0.000033066073,0.00008349612],"domain_scores_gemma":[0.99824476,0.00066934846,0.0006637682,0.00008452414,0.00012110387,0.0002164344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005853904,0.00018748433,0.000267245,0.0007746687,0.00051812123,0.0027667247,0.00026064727,0.00061053963,0.0044347523],"category_scores_gemma":[0.0021345355,0.000118689575,0.0005707249,0.0014521871,0.0023353149,0.0024863817,0.0015658261,0.0006451959,0.00023498319],"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":[0.0002186508,0.00010727156,0.76442915,0.00025914083,0.00038391064,0.00080402824,0.0058959736,0.005730638,0.002025767,0.15769072,0.0029860155,0.05946868],"study_design_scores_gemma":[0.000020793063,0.000048734346,0.91370296,0.00021632758,0.0001817881,0.00013225908,0.009636081,0.0029521575,0.0007161647,0.061873756,0.0104748355,0.00004423353],"about_ca_topic_score_codex":0.025702912,"about_ca_topic_score_gemma":0.036420275,"teacher_disagreement_score":0.025702912,"about_ca_system_score_codex":0.0013562196,"about_ca_system_score_gemma":0.0011321364,"threshold_uncertainty_score":0.05110663},"labels":[],"label_agreement":null},{"id":"W3125890331","doi":"","title":"The Rise of the Mega Region","year":2007,"lang":"en","type":"preprint","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mega-; Globe; Megacity; Population; Economic geography; Geography; Regional science; Economics; Econometrics; Economy; Demography","score_opus":0.05168997351932845,"score_gpt":0.21879558898971746,"score_spread":0.16710561547038902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125890331","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":[0.7840819,0.01971208,0.030050827,0.010761407,0.0004355297,0.0000509138,0.031047093,0.00058044685,0.12327994],"genre_scores_gemma":[0.9724415,0.0035374505,0.010817421,0.00068151194,0.00020703887,0.00005574151,0.007733653,0.00023275787,0.0042929105],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995369,0.00011727824,0.000015552265,0.00016830812,0.00010285486,0.000059093538],"domain_scores_gemma":[0.9986753,0.00033691898,0.00030216275,0.00021256988,0.00035615425,0.00011688919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069127727,0.00020717905,0.00030012324,0.0013355445,0.0005414738,0.0019293203,0.00037025986,0.00029376018,0.00364946],"category_scores_gemma":[0.0030731135,0.00020995636,0.0002979633,0.0022741486,0.0005134426,0.001642937,0.0016618478,0.0008385757,0.0008288145],"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":[0.0005338085,0.000043854336,0.44206855,0.0007942104,0.00032993828,0.0008708938,0.0069554662,0.011720596,0.0039242883,0.18890595,0.0868742,0.25697815],"study_design_scores_gemma":[0.000024374589,0.000051097642,0.49906078,0.0002601231,0.00008618013,0.00062258524,0.002724284,0.006595799,0.002564461,0.019949183,0.46801004,0.000051041585],"about_ca_topic_score_codex":0.00867321,"about_ca_topic_score_gemma":0.011608354,"teacher_disagreement_score":0.00867321,"about_ca_system_score_codex":0.0007041778,"about_ca_system_score_gemma":0.00039263084,"threshold_uncertainty_score":0.017245471},"labels":[],"label_agreement":null},{"id":"W3125913481","doi":"10.1111/0008-4085.00109","title":"Economic information versus quality variation in cross-country data","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Library science; Citation; State (computer science); Schools of economic thought; Quality (philosophy); Sociology; Economics; Computer science; Philosophy; Algorithm","score_opus":0.2078485233595983,"score_gpt":0.23166795891931516,"score_spread":0.023819435559716856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125913481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8056389,0.01165312,0.055392627,0.009453739,0.00075178803,0.00022299771,0.09609292,0.00051127654,0.02028264],"genre_scores_gemma":[0.96556914,0.0010733211,0.0024765402,0.0004804196,0.0003110359,0.000045472138,0.028525554,0.00007604887,0.0014424365],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9738951,0.011514186,0.0038316087,0.004145287,0.004850185,0.0017637591],"domain_scores_gemma":[0.57284826,0.2926615,0.066651955,0.048858277,0.016956437,0.0020235225],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.031995904,0.00045077232,0.001149005,0.006328946,0.00055754196,0.0058925212,0.0013695695,0.002523795,0.0050789043],"category_scores_gemma":[0.1983112,0.00071483006,0.0013390565,0.014259221,0.0017910158,0.0044851303,0.0017388528,0.0018180357,0.0013820489],"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":[0.0008437468,0.00010486043,0.9249932,0.0003599861,0.0027723603,0.0003464162,0.00038617407,0.018975124,0.00042514186,0.013080008,0.010151265,0.027561743],"study_design_scores_gemma":[0.00017150889,0.00016473036,0.9229986,0.00035912235,0.0017805883,0.00049144047,0.00066378614,0.025111027,0.0023419168,0.02474036,0.021023506,0.00015331147],"about_ca_topic_score_codex":0.02446164,"about_ca_topic_score_gemma":0.017414125,"teacher_disagreement_score":0.9680041,"about_ca_system_score_codex":0.0017501018,"about_ca_system_score_gemma":0.00093613786,"threshold_uncertainty_score":0.16921258},"labels":[],"label_agreement":null},{"id":"W3125921578","doi":"10.1515/bejm-2020-0254","title":"The Neoclassical Growth Model and the Labor Share Decline","year":2021,"lang":"en","type":"preprint","venue":"The B E Journal of Macroeconomics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Secretaría de Estado de Investigación, Desarrollo e Innovación; Agència de Gestió d'Ajuts Universitaris i de Recerca; Social Sciences and Humanities Research Council of Canada","keywords":"Akaike information criterion; Economics; Robustness (evolution); Econometrics; Bayesian probability; Bayesian information criterion; Growth model; Deviance information criterion; Bayesian inference; Statistics; Mathematics; Macroeconomics","score_opus":0.02702056407590152,"score_gpt":0.22407563333622327,"score_spread":0.19705506926032174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125921578","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":[0.48963237,0.006407574,0.29624406,0.034179285,0.00066976075,0.00015317631,0.0056573343,0.0008925439,0.16616386],"genre_scores_gemma":[0.9663785,0.0026754825,0.008829821,0.000918375,0.0001673669,0.00018098317,0.0010381445,0.0001343253,0.019677082],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995334,0.00018486641,0.000020357551,0.00012050384,0.00007888588,0.000061956336],"domain_scores_gemma":[0.9983564,0.00071114226,0.00034841435,0.00030053247,0.00019512781,0.00008830331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021747116,0.00059068424,0.00053226936,0.00070840615,0.00048087625,0.0018602818,0.0011096188,0.0012770024,0.006199749],"category_scores_gemma":[0.0077367495,0.00029623994,0.00067158754,0.0014748746,0.0012483823,0.0019256346,0.0010630484,0.0013135918,0.0011516184],"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":[0.00010958694,0.000049991348,0.01210104,0.00014775393,0.00005295959,0.0002767042,0.000557176,0.14087838,0.0004904148,0.79962796,0.013591942,0.032116152],"study_design_scores_gemma":[0.00003841707,0.000032500582,0.00841607,0.000092771596,0.00002309882,0.00009889555,0.0002615993,0.17437758,0.00026612368,0.7947984,0.021566799,0.000027710656],"about_ca_topic_score_codex":0.011680584,"about_ca_topic_score_gemma":0.00500686,"teacher_disagreement_score":0.011680584,"about_ca_system_score_codex":0.0025278076,"about_ca_system_score_gemma":0.0013620477,"threshold_uncertainty_score":0.023225188},"labels":[],"label_agreement":null},{"id":"W3125936201","doi":"","title":"How Important is Human Capital? A Quantitative Theory Assessment of World Income Inequality","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Concordia University","funders":"","keywords":"Economics; Human capital; Total factor productivity; Earnings; Per capita; Inequality; Labour economics; Per capita income; Variance (accounting); Investment (military); Productivity; Econometrics; Demographic economics; Macroeconomics; Economic growth; Population","score_opus":0.08928983778546792,"score_gpt":0.36297939031024695,"score_spread":0.273689552524779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125936201","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":[0.33451718,0.022382764,0.4253429,0.062460586,0.0004788558,0.000101912774,0.0014284777,0.00014319905,0.15314417],"genre_scores_gemma":[0.9866898,0.0030365398,0.0080059515,0.0005886241,0.00030714733,0.00006248712,0.00011579946,0.000011773474,0.0011818192],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990607,0.0005090305,0.000025876352,0.0001168528,0.00019045368,0.00009718734],"domain_scores_gemma":[0.9956988,0.0029054503,0.000512606,0.0003698,0.00033679712,0.00017660316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021195475,0.00042572324,0.000467862,0.0025276237,0.00072413334,0.0026791287,0.00062168844,0.00088056596,0.00228022],"category_scores_gemma":[0.008747456,0.00016148142,0.0003099526,0.0025181174,0.0048000026,0.0052407477,0.0014699489,0.0009235018,0.00016403382],"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":[0.000010227082,0.000018371305,0.0058970223,0.00006913952,0.000030486864,0.000050164545,0.0002088655,0.010177816,0.00014580035,0.95950824,0.0012520296,0.022631822],"study_design_scores_gemma":[0.0000034708619,0.000014299342,0.0055661895,0.000089947964,0.000009434916,0.00004922706,0.0002874149,0.013745984,0.000113678754,0.97437626,0.005734367,0.000009731052],"about_ca_topic_score_codex":0.0018298083,"about_ca_topic_score_gemma":0.00082071224,"teacher_disagreement_score":0.0026791287,"about_ca_system_score_codex":0.001517963,"about_ca_system_score_gemma":0.0005048364,"threshold_uncertainty_score":0.011209369},"labels":[],"label_agreement":null},{"id":"W3125981998","doi":"10.2139/ssrn.923381","title":"The Importance of Being Mature: the Effect of Demographic Maturation on Global Per-Capita Gdp","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"University of Toronto","funders":"","keywords":"Per capita; Economics; Gross domestic product; Real gross domestic product; Demographic economics; Agricultural economics; Monetary economics; Business; Economic growth; Demography; Population","score_opus":0.00396052821256679,"score_gpt":0.18736315675903972,"score_spread":0.18340262854647293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125981998","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":[0.9901334,0.00089087524,0.00019306348,0.0019438454,0.000026577754,0.000006632201,0.0008628851,0.000010812465,0.0059319986],"genre_scores_gemma":[0.9988733,0.00028465808,0.00002681494,0.000047643414,0.000028277687,0.0000016246263,0.00019231466,0.0000039321076,0.0005415754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996221,0.000110406254,0.00002339922,0.000050759638,0.00003136709,0.00016198207],"domain_scores_gemma":[0.9897741,0.0033831806,0.0031459194,0.00028629354,0.00068002334,0.0027304685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012501677,0.00017193133,0.00032096438,0.00041326016,0.00040911013,0.0013257944,0.0003217508,0.00062802486,0.006884022],"category_scores_gemma":[0.008113983,0.00013202385,0.00053708383,0.00087814656,0.0009027821,0.0011954756,0.0011571,0.0015349296,0.0005744261],"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":[0.0007094932,0.00009333101,0.9767585,0.000073757015,0.00013518064,0.00049764314,0.00056239683,0.0030315607,0.0006620597,0.004272345,0.001165813,0.012037947],"study_design_scores_gemma":[0.000012884969,0.00012869907,0.99526477,0.000017802942,0.000074385425,0.00016679216,0.00071261264,0.0010288656,0.00025953632,0.0010801491,0.0012429584,0.0000106403895],"about_ca_topic_score_codex":0.012083781,"about_ca_topic_score_gemma":0.013931002,"teacher_disagreement_score":0.012083781,"about_ca_system_score_codex":0.00042523837,"about_ca_system_score_gemma":0.00073168636,"threshold_uncertainty_score":0.02402687},"labels":[],"label_agreement":null},{"id":"W3125985462","doi":"10.1257/aeri.20190285","title":"Revisiting the Global Decline of the (Non-housing) Labor Share","year":2020,"lang":"en","type":"article","venue":"American Economic Review Insights","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Wage share; Labour economics; Demographic economics","score_opus":0.03003862981010431,"score_gpt":0.24655999684837573,"score_spread":0.21652136703827143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125985462","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":[0.89705616,0.022792377,0.012504762,0.016153794,0.00057974266,0.000029012508,0.0061188694,0.000112387126,0.044653043],"genre_scores_gemma":[0.9862708,0.006720235,0.0017619741,0.0010260488,0.00037669053,0.000013276069,0.001599974,0.000044820157,0.002186115],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997857,0.000041209503,0.00001447219,0.00008086046,0.000047231926,0.000030636835],"domain_scores_gemma":[0.9981135,0.00046559892,0.0006686037,0.00028647238,0.0004136816,0.000052182884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010962657,0.0002874202,0.00028969895,0.0018841783,0.00027237707,0.0012113728,0.0003448703,0.00037450204,0.0020268084],"category_scores_gemma":[0.0029232788,0.00009725682,0.00028721147,0.004751426,0.0011592447,0.0015106443,0.0007730106,0.0008143193,0.0003983177],"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":[0.0003166751,0.00007267728,0.40169296,0.0011875515,0.00037776981,0.0008871696,0.0047804043,0.007116464,0.004683141,0.14292115,0.028532824,0.4074312],"study_design_scores_gemma":[0.0000114114455,0.00013354959,0.90411776,0.00028545273,0.000112491354,0.0003611297,0.0022935786,0.0026711372,0.0018094564,0.014275495,0.07390398,0.000024636995],"about_ca_topic_score_codex":0.008645183,"about_ca_topic_score_gemma":0.009222341,"teacher_disagreement_score":0.008645183,"about_ca_system_score_codex":0.00052242447,"about_ca_system_score_gemma":0.0003860627,"threshold_uncertainty_score":0.017189741},"labels":[],"label_agreement":null},{"id":"W3126024327","doi":"","title":"The Role of the Structural Transformation in Aggregate Productivity","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":152,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Productivity; Economics; Agriculture; Agricultural productivity; Labour economics; Aggregate (composite); Multifactor productivity; Economic geography; Total factor productivity; Macroeconomics; Geography","score_opus":0.027704155996770438,"score_gpt":0.2684702867160358,"score_spread":0.24076613071926534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126024327","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":[0.96955967,0.00040103585,0.014577156,0.0015948126,0.00002049556,0.0000296657,0.00075106503,0.000095768635,0.012970405],"genre_scores_gemma":[0.99898964,0.00012480904,0.00038352047,0.00002207496,0.00000863999,0.000005302848,0.00013580958,0.0000046645355,0.0003254635],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994598,0.000120046025,0.000027231821,0.000114900264,0.000108999724,0.0001689809],"domain_scores_gemma":[0.994718,0.0017432047,0.0021219046,0.0007509387,0.0003893928,0.00027663956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011959455,0.00031063863,0.00031183116,0.0012663527,0.00056183984,0.0019012693,0.00044319226,0.00043547965,0.0039473334],"category_scores_gemma":[0.01115579,0.00018032728,0.0006734264,0.0024810254,0.0014626503,0.0022715814,0.0015257166,0.0009910436,0.0005297806],"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":[0.00046553128,0.00023541342,0.576581,0.00016587952,0.00027321954,0.0007304472,0.0029463058,0.1529535,0.0042352136,0.19141194,0.0024961203,0.067505434],"study_design_scores_gemma":[0.000084891166,0.0003593613,0.5406236,0.000070598806,0.0001233104,0.0004049749,0.0022350012,0.122499116,0.0050122314,0.31941393,0.009104627,0.000068358815],"about_ca_topic_score_codex":0.008964134,"about_ca_topic_score_gemma":0.0053014625,"teacher_disagreement_score":0.008964134,"about_ca_system_score_codex":0.0016478867,"about_ca_system_score_gemma":0.0009941676,"threshold_uncertainty_score":0.017823875},"labels":[],"label_agreement":null},{"id":"W3126067477","doi":"","title":"Privatization and Poverty Reduction in Vietnam Optimal choices and its potential impacts","year":2012,"lang":"en","type":"preprint","venue":"Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Australian Agency for International Development; International Development Research Centre; Government of Canada; United States Agency for International Development","keywords":"Restructuring; Vietnamese; Economics; Poverty; Capital (architecture); Labour economics; Economic system; Economic growth","score_opus":0.08682225513013968,"score_gpt":0.3514307712989546,"score_spread":0.2646085161688149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126067477","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":[0.977675,0.00032754987,0.003894766,0.0019310253,0.000010193008,0.0000476567,0.00023105362,0.000023719986,0.0158592],"genre_scores_gemma":[0.99764603,0.00012847169,0.00045099054,0.00003604956,0.0000017738748,0.00001215306,0.00002886408,0.000003576767,0.001692027],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999569,0.00022127033,0.000010640846,0.000030000707,0.00002912614,0.00014008762],"domain_scores_gemma":[0.9995178,0.00017092956,0.00012408865,0.00003574462,0.00005491612,0.00009656516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007659157,0.00013539214,0.00032134706,0.00024307916,0.0005680085,0.0011604136,0.00027063934,0.00027619765,0.00568581],"category_scores_gemma":[0.0016314703,0.00015659156,0.0002709161,0.00040194864,0.00075891044,0.00084819185,0.00080072467,0.00037252138,0.00012145928],"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":[0.0010895033,0.0011315312,0.11768389,0.00064096774,0.00028413231,0.0017468889,0.0056821266,0.34115547,0.0038063864,0.41113508,0.0073232935,0.10832074],"study_design_scores_gemma":[0.0003070189,0.00087439484,0.17544298,0.00041656249,0.00010533675,0.00038304165,0.02214002,0.3754444,0.0028676267,0.37837574,0.043573845,0.00006909912],"about_ca_topic_score_codex":0.02696303,"about_ca_topic_score_gemma":0.028870532,"teacher_disagreement_score":0.02696303,"about_ca_system_score_codex":0.0021860756,"about_ca_system_score_gemma":0.0028392975,"threshold_uncertainty_score":0.053612173},"labels":[],"label_agreement":null},{"id":"W3126082774","doi":"","title":"Gravity, market potential and development","year":2011,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Per capita income; Economics; Per capita; Estimation; Economic potential; International economics; Econometrics; Economic geography; Economic growth","score_opus":0.025061706807211325,"score_gpt":0.19481687841595913,"score_spread":0.1697551716087478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126082774","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":[0.7879334,0.023005893,0.0073948707,0.011607335,0.00014835519,0.000051031682,0.0018976736,0.00019749258,0.16776392],"genre_scores_gemma":[0.9947448,0.0026734064,0.0003521015,0.00006555338,0.00007421657,0.0000075133357,0.00021552257,0.000011036022,0.0018558797],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996859,0.00009867565,0.00001699549,0.000053759442,0.00007866133,0.00006605219],"domain_scores_gemma":[0.9952852,0.0022054762,0.0013679051,0.00022323463,0.00031302642,0.0006051872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063528324,0.00028091474,0.00034557347,0.0032555275,0.00048572916,0.0020882406,0.00027246357,0.00042962356,0.009498764],"category_scores_gemma":[0.004922557,0.00010261288,0.00030585413,0.005147588,0.0027372702,0.0019947544,0.0013981694,0.0005629395,0.00044437486],"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":[0.000117012874,0.00009280098,0.3102997,0.00038659,0.00023514443,0.00069945346,0.0009990976,0.008466452,0.0004963083,0.5898869,0.010046378,0.07827414],"study_design_scores_gemma":[0.00002871321,0.0001017109,0.47470883,0.00014915544,0.00007527135,0.0007887629,0.0017570072,0.0053062765,0.0003348231,0.46343467,0.053272773,0.000042130607],"about_ca_topic_score_codex":0.0032424387,"about_ca_topic_score_gemma":0.0019398034,"teacher_disagreement_score":0.009498764,"about_ca_system_score_codex":0.0011921898,"about_ca_system_score_gemma":0.00064116705,"threshold_uncertainty_score":0.031776547},"labels":[],"label_agreement":null},{"id":"W3126123541","doi":"10.5430/rwe.v12n2p132","title":"Human Capital and Manufacturing Output in Nigeria: A Micro-Data Survey","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Covenant University Centre for Research, Innovation and Discovery; Covenant University","keywords":"Human capital; Business; Quality (philosophy); Manufacturing; Industrial organization; Survey data collection; Value (mathematics); Marketing; Economics; Economic growth","score_opus":0.1843484387329996,"score_gpt":0.3287500659445661,"score_spread":0.14440162721156652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126123541","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":[0.9958782,0.00016311515,0.00011167439,0.0001186722,0.0000039091065,0.000018821633,0.0023659458,0.000002173439,0.0013374957],"genre_scores_gemma":[0.99698097,0.00034930513,0.00024773882,0.000046622583,0.000006178737,0.000030469708,0.0014017369,0.0000014177575,0.00093542394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996984,0.00007835863,0.000041774212,0.000036581547,0.000085958076,0.000058950758],"domain_scores_gemma":[0.99877936,0.00032910038,0.00053976703,0.000048855843,0.00016694039,0.00013603215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004496535,0.00012503646,0.00016827848,0.000989584,0.0003734024,0.0006394796,0.00017587951,0.00028525727,0.0015394512],"category_scores_gemma":[0.0016423528,0.00017368485,0.00015435852,0.0021646328,0.00019506796,0.00042658934,0.0005060543,0.00044093843,0.0005207307],"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":[0.000015851363,0.00003997178,0.9959453,0.000026926225,0.000007691133,0.00012602574,0.00061720744,0.00010230998,0.00011465619,0.000079379584,0.00032503877,0.0025995465],"study_design_scores_gemma":[0.0000010598231,0.000052250543,0.99551034,0.000028876164,0.0000050532794,0.00013865359,0.0026800898,0.00026002384,0.00011026851,0.000040380633,0.0011693153,0.0000036648817],"about_ca_topic_score_codex":0.010955795,"about_ca_topic_score_gemma":0.021886555,"teacher_disagreement_score":0.010955795,"about_ca_system_score_codex":0.0003888864,"about_ca_system_score_gemma":0.00036249348,"threshold_uncertainty_score":0.021784008},"labels":[],"label_agreement":null},{"id":"W3126143225","doi":"","title":"Economic Growth Related to Mutually Interdependent Institutions and Technology","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Interdependence; Institution; Period (music); Economics; Economic system; Institutional economics; Set (abstract data type); Technological change; Neoclassical economics; Market economy; Political science; Macroeconomics; Law; Computer science","score_opus":0.0393689354154925,"score_gpt":0.2888337459674918,"score_spread":0.2494648105519993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126143225","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":[0.48368976,0.004740023,0.13183995,0.020461123,0.00021846704,0.00019307625,0.00037822092,0.00023331202,0.358246],"genre_scores_gemma":[0.9861837,0.0018438844,0.006583215,0.0002553342,0.00011886061,0.00008343189,0.00007847468,0.000015796204,0.004837312],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998047,0.00068806804,0.000096142365,0.00038688735,0.00036642875,0.00041550995],"domain_scores_gemma":[0.9881747,0.005733713,0.0035218154,0.00092715473,0.0010437894,0.0005988271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023046099,0.00067462504,0.000589577,0.0020937107,0.0013553004,0.004488442,0.00067114574,0.0017444063,0.006270452],"category_scores_gemma":[0.0095427185,0.00039553578,0.0007877688,0.0027019393,0.009969973,0.007150984,0.006348651,0.0024145183,0.00069298834],"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":[0.00003880012,0.000034866553,0.004864197,0.00006485304,0.000024364184,0.00016357271,0.00036182336,0.0052710148,0.00028883136,0.98087734,0.0005265237,0.0074838563],"study_design_scores_gemma":[0.000025928743,0.000021074551,0.0048940983,0.00004929645,0.000020672946,0.00015248994,0.00032905425,0.0042546703,0.00034551485,0.98649955,0.0033909658,0.000016611984],"about_ca_topic_score_codex":0.0011215957,"about_ca_topic_score_gemma":0.0004945915,"teacher_disagreement_score":0.006270452,"about_ca_system_score_codex":0.0022637814,"about_ca_system_score_gemma":0.0014840269,"threshold_uncertainty_score":0.020976722},"labels":[],"label_agreement":null},{"id":"W3126560979","doi":"10.21547/jss.719642","title":"The Relationship Between High-Tech Export and Economic Growth: A Panel Data Approach for Selected Countries","year":2021,"lang":"en","type":"article","venue":"Gaziantep University Journal of Social Sciences","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"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":"China; Context (archaeology); Czech; Panel data; Agriculture; Business; High tech; Economy; International trade; Agricultural economics; Economics; Geography","score_opus":0.12145312119399246,"score_gpt":0.2480373497571008,"score_spread":0.12658422856310833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126560979","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":[0.99256283,0.00019442887,0.0019001107,0.000115089875,0.00001118689,0.000020044226,0.0040243133,0.000010595637,0.0011613349],"genre_scores_gemma":[0.9898767,0.00018702864,0.00077802583,0.00003351439,0.0000117546315,0.000048727634,0.008326995,0.000004274066,0.00073290593],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993339,0.00037044918,0.000031195843,0.000099889156,0.00004868641,0.00011576487],"domain_scores_gemma":[0.9970804,0.0017179601,0.000556123,0.00019528957,0.00024305712,0.00020706237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013152475,0.0003060055,0.0004562126,0.0010620286,0.00047965164,0.0011204269,0.00030629095,0.00063189864,0.0024313058],"category_scores_gemma":[0.0018319669,0.00018294936,0.0008320688,0.0022422024,0.00020674571,0.00037089875,0.00043650786,0.00087192794,0.00036779372],"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":[0.00034965022,0.00019991062,0.97273254,0.000037054942,0.0008870345,0.00041504728,0.0001466832,0.016426682,0.0007409094,0.00086204876,0.0015866478,0.0056158626],"study_design_scores_gemma":[0.000043121014,0.00021970744,0.9689877,0.000027397677,0.00046369454,0.00017674103,0.00083919324,0.024450546,0.0010495238,0.000532838,0.0031740428,0.000035528203],"about_ca_topic_score_codex":0.022425154,"about_ca_topic_score_gemma":0.024684638,"teacher_disagreement_score":0.022425154,"about_ca_system_score_codex":0.00050059275,"about_ca_system_score_gemma":0.0004779659,"threshold_uncertainty_score":0.04458922},"labels":[],"label_agreement":null},{"id":"W313160243","doi":"","title":"The OECD 2012 Economic Survey of Canada and the Relationship between Higher Education and Productivity.","year":2012,"lang":"en","type":"article","venue":"The College Quarterly","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Productivity; Higher education; Economics; Trend analysis; Economic growth; Psychology; Regional science; Economic geography; Demographic economics; Agricultural economics; Sociology; Statistics","score_opus":0.039530416915908265,"score_gpt":0.22379345729885097,"score_spread":0.18426304038294272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W313160243","genre_codex":"dataset","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":[0.04570657,0.009751849,0.00048310574,0.010555256,0.0011200347,0.00025422682,0.8887511,0.00020892192,0.04316891],"genre_scores_gemma":[0.27825117,0.019141542,0.0024140317,0.0020925673,0.0004508674,0.00044703798,0.64874226,0.00017348627,0.04828699],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99597174,0.00024393847,0.00026592618,0.00017202248,0.0024407392,0.0009055789],"domain_scores_gemma":[0.9705715,0.0009723785,0.0023068641,0.00043774975,0.023675052,0.002036478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002956799,0.00073708146,0.00087058265,0.011277659,0.0018383187,0.0031044008,0.0013951163,0.0006602502,0.0073067825],"category_scores_gemma":[0.0134457275,0.00035960838,0.0006975606,0.036834743,0.0006992332,0.0013533701,0.0014150653,0.0015330745,0.0017100932],"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":[0.00012282238,0.00010075826,0.24884284,0.0005216928,0.00016935304,0.00008275992,0.00047299292,0.0005496075,0.00004859246,0.0062702056,0.71270084,0.030117515],"study_design_scores_gemma":[0.00001822995,0.000012643509,0.83228064,0.00025162264,0.00005013359,0.00003220579,0.001020407,0.00024260124,0.00010275508,0.00043064248,0.16551779,0.000040250983],"about_ca_topic_score_codex":0.9893209,"about_ca_topic_score_gemma":0.9927891,"teacher_disagreement_score":0.030205512,"about_ca_system_score_codex":0.030205512,"about_ca_system_score_gemma":0.09613805,"threshold_uncertainty_score":0.21915734},"labels":[],"label_agreement":null},{"id":"W3131814475","doi":"10.2139/ssrn.3178274","title":"Labor-Saving Agricultural Technical Change and Industrial Development","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Kellogg's (Canada)","funders":"","keywords":"Productivity; Agriculture; Incentive; Manufacturing; Labour economics; Business; Technological change; Agricultural productivity; Industrial organization; Economics; Economic growth; Market economy; Marketing","score_opus":0.04805560253695443,"score_gpt":0.21514444319283715,"score_spread":0.16708884065588273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131814475","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":[0.95831233,0.004794608,0.0018360626,0.0073640603,0.00009680146,0.000022561071,0.0013978649,0.000069591886,0.026106132],"genre_scores_gemma":[0.9876847,0.0019330062,0.00020767706,0.00020422503,0.0001315244,0.0000063404914,0.00040600766,0.000007511238,0.009418954],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997012,0.00007088779,0.000022612372,0.000055409066,0.000042334366,0.00010752057],"domain_scores_gemma":[0.996418,0.0014346206,0.0013597925,0.00016068545,0.0002248029,0.00040199317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084089336,0.0002789446,0.00030330723,0.0012147033,0.00047244577,0.0019340817,0.00026801942,0.001004169,0.010537431],"category_scores_gemma":[0.0043782312,0.00012696745,0.0004228633,0.0018615802,0.0008964024,0.0009934822,0.0007736156,0.0006877109,0.0010779251],"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":[0.0010135364,0.00074860884,0.76038736,0.00044095868,0.00024744435,0.0022247056,0.0014638248,0.021816544,0.0033842046,0.100754164,0.008797615,0.09872103],"study_design_scores_gemma":[0.000081601815,0.00043593143,0.85491735,0.00016361327,0.00023206811,0.0006195185,0.0033828046,0.0106614595,0.0024969443,0.0932436,0.033725727,0.00003937518],"about_ca_topic_score_codex":0.007615222,"about_ca_topic_score_gemma":0.012574578,"teacher_disagreement_score":0.010537431,"about_ca_system_score_codex":0.0017727561,"about_ca_system_score_gemma":0.0015681656,"threshold_uncertainty_score":0.03525114},"labels":[],"label_agreement":null},{"id":"W3133186218","doi":"10.4324/9781315252247-15","title":"The Pol itics of Average versus Marginal Cost Pricing of Development Charges: a Canadian Case Study","year":2017,"lang":"en","type":"book-chapter","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Marginal cost; Economics; Microeconomics","score_opus":0.07657136327666535,"score_gpt":0.23718763601105047,"score_spread":0.1606162727343851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133186218","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":[0.3785325,0.0076316698,0.014113694,0.015579359,0.0001452606,0.00055341073,0.0009031912,0.00006729089,0.58247364],"genre_scores_gemma":[0.9679558,0.0030321628,0.0055464813,0.0006819247,0.0000317891,0.00009978459,0.00014656116,0.000035591645,0.022469893],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9936295,0.002115666,0.00011503252,0.00036159134,0.0020102544,0.0017679478],"domain_scores_gemma":[0.99207133,0.0044929497,0.00031007326,0.0002749865,0.0023167715,0.0005337882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004826929,0.00068251294,0.0006604758,0.002822354,0.011501334,0.007694442,0.0032291627,0.0038856042,0.006220007],"category_scores_gemma":[0.015939925,0.0005353642,0.0010594941,0.007597948,0.0063860845,0.0047274693,0.002546867,0.004049581,0.00032236552],"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":[0.00025490025,0.0004582188,0.01690604,0.00025954552,0.00004227902,0.0026862896,0.009778649,0.015250335,0.00040815774,0.90144014,0.019189449,0.03332593],"study_design_scores_gemma":[0.0005828698,0.00073737523,0.06922923,0.0009767163,0.00034324703,0.003840229,0.11431541,0.12626496,0.0023205166,0.19078822,0.49000132,0.0005999548],"about_ca_topic_score_codex":0.9320948,"about_ca_topic_score_gemma":0.93294626,"teacher_disagreement_score":0.096611656,"about_ca_system_score_codex":0.096611656,"about_ca_system_score_gemma":0.03676549,"threshold_uncertainty_score":0.70096993},"labels":[],"label_agreement":null},{"id":"W3137282850","doi":"10.2139/ssrn.3727144","title":"Corporate Governance, Business Group Governance and Economic Development Traps","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"University of Alberta","funders":"","keywords":"Corporate governance; Externality; Productivity; Business; Market economy; Corporate group; Network effect; Industrial organization; Economics; Monetary economics; Finance; Microeconomics; Economic growth","score_opus":0.021054175030128578,"score_gpt":0.17713913178156557,"score_spread":0.156084956751437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137282850","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":[0.8813948,0.0036989718,0.0062952153,0.025043378,0.000088190915,0.000046443223,0.00044439227,0.000055901455,0.08293271],"genre_scores_gemma":[0.9976292,0.00023314865,0.000116506584,0.0001789047,0.000034558743,0.000005574302,0.000032179683,0.0000030685878,0.0017669296],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99899465,0.00038404137,0.000031267205,0.000119266064,0.00013970688,0.00033104385],"domain_scores_gemma":[0.9893764,0.005073767,0.0031683596,0.00035067453,0.0005293707,0.0015013668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025595448,0.00014569673,0.00040723,0.0014998442,0.001075089,0.0035246778,0.00045819604,0.0008034693,0.014815431],"category_scores_gemma":[0.008960758,0.00008469402,0.00018968775,0.0020493877,0.0029845112,0.0028076824,0.002058153,0.0014901857,0.00037368835],"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":[0.00025423564,0.0003384587,0.21102919,0.0001259421,0.00009003449,0.00028773936,0.0018658872,0.0024606057,0.00022902526,0.73216385,0.010024069,0.04113087],"study_design_scores_gemma":[0.0001602564,0.00016694379,0.17296799,0.00019289838,0.000113636524,0.00030174945,0.009977215,0.007922573,0.00030014396,0.7884153,0.019452533,0.000028744473],"about_ca_topic_score_codex":0.0035769427,"about_ca_topic_score_gemma":0.005583996,"teacher_disagreement_score":0.014815431,"about_ca_system_score_codex":0.0012030499,"about_ca_system_score_gemma":0.0015527037,"threshold_uncertainty_score":0.049562514},"labels":[],"label_agreement":null},{"id":"W3139383522","doi":"10.21203/rs.3.rs-307281/v1","title":"Testing Significance of Macroeconomic Variables in Explaining Aggregate Economic Growth: A Cross-Country Study","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Economics; Aggregate (composite); Econometrics; Cross country; Macroeconomics; Classical economics; Keynesian economics; International economics","score_opus":0.10354045899241116,"score_gpt":0.34667190033735007,"score_spread":0.24313144134493891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139383522","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":[0.99836665,0.0002993462,0.0003125147,0.000056845125,0.000010592226,0.0000056264926,0.00027593796,0.0000046907026,0.0006678351],"genre_scores_gemma":[0.9989654,0.0001591927,0.00013004916,0.000008443617,0.000009733049,0.000003862121,0.00057313935,0.0000025682903,0.00014757174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983393,0.0008261452,0.00011229189,0.00026312968,0.00019994898,0.00025914115],"domain_scores_gemma":[0.98767275,0.0072659915,0.0026937656,0.00074884034,0.0009763721,0.00064219115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004239876,0.0005009216,0.00061227765,0.001845541,0.0004457405,0.0015971968,0.000403411,0.00041794064,0.0020946416],"category_scores_gemma":[0.0070083966,0.00026701041,0.0014075174,0.0025408391,0.00065615925,0.0007237025,0.001220375,0.0009854838,0.0004994534],"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":[0.00023355245,0.00015772114,0.98956317,0.000033748485,0.0010677235,0.00031512915,0.00019151099,0.0030833469,0.00030604593,0.00039949964,0.0002742572,0.0043743444],"study_design_scores_gemma":[0.000017544447,0.00020902124,0.99252105,0.00002518611,0.00046098462,0.00009892153,0.00084038975,0.004723333,0.0003416282,0.00016107086,0.0005883125,0.000012609127],"about_ca_topic_score_codex":0.016950252,"about_ca_topic_score_gemma":0.009246745,"teacher_disagreement_score":0.016950252,"about_ca_system_score_codex":0.00047354502,"about_ca_system_score_gemma":0.00049695146,"threshold_uncertainty_score":0.03370315},"labels":[],"label_agreement":null},{"id":"W3142667407","doi":"","title":"The moving blocks bootstrap for panel linear regression models with individual fixed effects","year":2009,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Mathematics; Estimator; Linear regression; Fixed effects model; Statistics; Percentile; Panel data; Ordinary least squares; Autocorrelation; Fixed point; Regression; Function (biology); Mathematical analysis","score_opus":0.0673015334985605,"score_gpt":0.2383962433914935,"score_spread":0.17109470989293302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142667407","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":[0.001423293,0.00025032237,0.99750537,0.0000676244,0.000033108874,0.000037151964,0.00006052725,0.00022796133,0.00039466994],"genre_scores_gemma":[0.09749559,0.0012617861,0.89626074,0.00023972872,0.00034273823,0.001022137,0.0010425692,0.00052021665,0.0018144917],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9901598,0.0077793347,0.00020355252,0.00051556504,0.0011226899,0.00021913499],"domain_scores_gemma":[0.97091067,0.024171298,0.0011654532,0.0025092366,0.0010066974,0.0002366809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012345515,0.00091005216,0.001959964,0.0021915743,0.0008234296,0.001439239,0.0030757266,0.0016700394,0.0052253013],"category_scores_gemma":[0.056244493,0.00086523336,0.0019017952,0.0029875278,0.0014516341,0.0022506926,0.002153,0.0030823746,0.0027835364],"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":[0.00025490246,0.00020292791,0.005357389,0.0005261078,0.00062733487,0.00052663963,0.00047984277,0.23978633,0.0018924903,0.41787627,0.008772136,0.3236976],"study_design_scores_gemma":[0.00004412623,0.00008016347,0.0012601829,0.00009634755,0.000059633425,0.00012105106,0.000047459558,0.7878177,0.00078617194,0.19789912,0.011737843,0.000050246075],"about_ca_topic_score_codex":0.0034524768,"about_ca_topic_score_gemma":0.002631067,"teacher_disagreement_score":0.012345515,"about_ca_system_score_codex":0.00064045034,"about_ca_system_score_gemma":0.0011651542,"threshold_uncertainty_score":0.06529009},"labels":[],"label_agreement":null},{"id":"W3142717203","doi":"","title":"Technology Transfer through Imports","year":2007,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Technology transfer; Economics; International economics; International trade; Transfer (computing); Developed country; Developing country; Economic geography; Business; Economic growth","score_opus":0.25281256537267344,"score_gpt":0.429903363160945,"score_spread":0.17709079778827158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142717203","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":[0.7284308,0.003090373,0.023230411,0.0015360662,0.00012382529,0.00009464083,0.0033866256,0.00040286063,0.23970436],"genre_scores_gemma":[0.9695114,0.0022746543,0.0023127939,0.00016768466,0.00006208222,0.000042170614,0.0009882668,0.00004562001,0.024595324],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992829,0.00008862903,0.000046130473,0.00018083147,0.00019831987,0.00020328037],"domain_scores_gemma":[0.99858594,0.0005093275,0.00039763123,0.00023511825,0.00021952605,0.000052523897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064399734,0.0004902642,0.00049310626,0.0022678496,0.0005663481,0.0028259067,0.00039015483,0.0005312433,0.023826016],"category_scores_gemma":[0.0035926378,0.0002445392,0.001320533,0.0033114483,0.0007132765,0.003385147,0.0024069601,0.0008596867,0.0026467976],"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":[0.00042791723,0.00034525574,0.30019557,0.0013390996,0.00056840834,0.003521093,0.003186769,0.03890197,0.011264075,0.34828272,0.008809658,0.28315747],"study_design_scores_gemma":[0.00008796868,0.0006763069,0.57207125,0.0008261423,0.00072198774,0.004357936,0.0059364312,0.023758154,0.024731971,0.17674273,0.1899413,0.00014780363],"about_ca_topic_score_codex":0.0029822493,"about_ca_topic_score_gemma":0.0014064607,"teacher_disagreement_score":0.023826016,"about_ca_system_score_codex":0.0011306356,"about_ca_system_score_gemma":0.0006837796,"threshold_uncertainty_score":0.079705894},"labels":[],"label_agreement":null},{"id":"W3145659894","doi":"","title":"North-South Trade and Directed Technical Change","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Intellectual property; Hospitality; Schools of economic thought; Globalization; Political science; Free trade; Economics; International trade; Economy; Economic history; Law; Neoclassical economics","score_opus":0.017676099262707294,"score_gpt":0.18639027744312697,"score_spread":0.16871417818041967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3145659894","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":[0.8028407,0.005717482,0.008747788,0.0068109687,0.0000994182,0.000029523786,0.0007512797,0.00014312289,0.17485966],"genre_scores_gemma":[0.98962665,0.0014004528,0.0007490263,0.00019952586,0.000053164513,0.000012238712,0.00017862371,0.000014490801,0.0077658445],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995914,0.000105578074,0.000026301346,0.000101873884,0.000089421206,0.000085428735],"domain_scores_gemma":[0.9967662,0.0009556929,0.0015688593,0.00023375232,0.00020011024,0.000275442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097028114,0.00029764444,0.00027529013,0.0016147838,0.00065782387,0.002207119,0.00025335,0.0005993942,0.010538783],"category_scores_gemma":[0.0033294635,0.00013148338,0.00053381134,0.0026792996,0.0028514222,0.0025397784,0.00256528,0.0008984995,0.00058557314],"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":[0.00031952807,0.0001224057,0.25841975,0.0005888072,0.00025342498,0.0011954732,0.006804898,0.010920989,0.0026527706,0.5556015,0.010189929,0.15293054],"study_design_scores_gemma":[0.00008429952,0.00012473643,0.45320848,0.0003793336,0.00012359928,0.0008654535,0.0034512293,0.0063896966,0.0013637053,0.44384527,0.09010728,0.000056884113],"about_ca_topic_score_codex":0.0019338321,"about_ca_topic_score_gemma":0.0019575097,"teacher_disagreement_score":0.010538783,"about_ca_system_score_codex":0.0013694469,"about_ca_system_score_gemma":0.000513898,"threshold_uncertainty_score":0.03525573},"labels":[],"label_agreement":null},{"id":"W3146768020","doi":"","title":"Explaining the labor share: automation vs labor market institutions","year":2019,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"European Regional Development Fund; Fundação para a Ciência e a Tecnologia; Queen's University; Universidade do Porto; Queen's University Belfast","keywords":"Wage share; Labour economics; Context (archaeology); Productivity; Automation; Market share; Economics; Secondary labor market; Wage; Labor relations; Labor demand; Business; Efficiency wage; Engineering; Macroeconomics","score_opus":0.025041953147193333,"score_gpt":0.19677959494180072,"score_spread":0.17173764179460738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3146768020","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":[0.8128536,0.0020841986,0.10746433,0.011461787,0.00007480719,0.00023035095,0.0016234742,0.0003118346,0.06389571],"genre_scores_gemma":[0.9925379,0.0005099486,0.0013094621,0.00017582912,0.000104447674,0.00006609419,0.0001839255,0.000016865022,0.00509542],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999501,0.00011950166,0.000019397246,0.00008462162,0.00008635575,0.00018906566],"domain_scores_gemma":[0.9971827,0.0012944911,0.0010856326,0.00019191486,0.00008656495,0.00015867116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090877234,0.0005971037,0.00055994093,0.0014532233,0.00052468287,0.0019245818,0.0010095942,0.0016305541,0.013528101],"category_scores_gemma":[0.0031788477,0.00024314753,0.0006614282,0.0015224621,0.0017168256,0.002425962,0.0011585492,0.0008087526,0.0013303777],"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":[0.00037482145,0.00038562794,0.14934173,0.00021832407,0.00012393325,0.0007284573,0.0013198119,0.1576928,0.00228876,0.6213645,0.0048928494,0.061268404],"study_design_scores_gemma":[0.00032640234,0.00033053456,0.11239493,0.0001968382,0.00009263195,0.00030811163,0.0015545937,0.19128072,0.0018759922,0.67348146,0.018048616,0.0001091649],"about_ca_topic_score_codex":0.0056298138,"about_ca_topic_score_gemma":0.0026710632,"teacher_disagreement_score":0.013528101,"about_ca_system_score_codex":0.0014926412,"about_ca_system_score_gemma":0.00079425494,"threshold_uncertainty_score":0.04525602},"labels":[],"label_agreement":null},{"id":"W3150436139","doi":"","title":"Determinants of R&D activities of multinational firms abroad","year":2012,"lang":"en","type":"article","venue":"ERSA conference papers","topic":"Economic Growth and Productivity","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":"Multinational corporation; Internationalization; Czech; Slovak; Human capital; Gravity model of trade; Business; Economic geography; Homogeneous; Capital (architecture); Scale (ratio); International trade; Economics; Geography; Economic growth; Finance","score_opus":0.03670886212278827,"score_gpt":0.24827676131955287,"score_spread":0.2115678991967646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3150436139","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":[0.98872733,0.0010494292,0.00058748433,0.0005234633,0.0000068202785,0.000019244828,0.00073322066,0.00003010238,0.008323004],"genre_scores_gemma":[0.9968291,0.0007183961,0.00018831136,0.000029066976,0.00001120277,0.0000075796747,0.0005605032,0.0000061089963,0.0016499083],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993399,0.00017942677,0.0000611341,0.00012391568,0.00012907921,0.00016649778],"domain_scores_gemma":[0.99089116,0.0027384658,0.0044229887,0.00041734322,0.0004805811,0.0010495154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00101318,0.00024743826,0.00031442358,0.0018620986,0.00033410717,0.0018358678,0.00027661456,0.00033838357,0.0048331195],"category_scores_gemma":[0.005348525,0.00015410747,0.0003989595,0.0027774454,0.0007367051,0.0007372111,0.0014916494,0.0006030748,0.00076532655],"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":[0.00008118428,0.00009294534,0.9691685,0.000092297356,0.000120853845,0.00032190373,0.0003962381,0.00511574,0.0008182889,0.0056936364,0.001069795,0.017028539],"study_design_scores_gemma":[0.000014460846,0.0000622195,0.98870045,0.0000652705,0.000041905743,0.00019635311,0.0013475893,0.0015903625,0.0005889512,0.0015352478,0.0058466787,0.000010508627],"about_ca_topic_score_codex":0.007967458,"about_ca_topic_score_gemma":0.007954631,"teacher_disagreement_score":0.007967458,"about_ca_system_score_codex":0.00097160705,"about_ca_system_score_gemma":0.00069990224,"threshold_uncertainty_score":0.016168416},"labels":[],"label_agreement":null},{"id":"W3151961407","doi":"","title":"On some issues concerning definition of an economic recession","year":2012,"lang":"en","type":"preprint","venue":"MPRA Paper","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recession; Global recession; Economics; Per capita; Quarter (Canadian coin); Population; Macroeconomics; Geography","score_opus":0.07457596461072952,"score_gpt":0.26268628695042295,"score_spread":0.18811032233969344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151961407","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015773358,0.12588744,0.33437008,0.3162369,0.027527532,0.00026412116,0.0008706419,0.00029774476,0.17877229],"genre_scores_gemma":[0.53920406,0.075577,0.21174091,0.09078769,0.050838273,0.0018871379,0.0016095508,0.0007379243,0.027617434],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9887993,0.0066954675,0.0010490412,0.0013051576,0.0017653737,0.00038562377],"domain_scores_gemma":[0.9857356,0.0104495045,0.0010871217,0.0006240547,0.0019039301,0.00019985571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015459546,0.001124149,0.0011814715,0.004242592,0.0043749404,0.006271406,0.0031835774,0.004873405,0.006346952],"category_scores_gemma":[0.028246248,0.00041820205,0.001297153,0.005890865,0.012487529,0.01336235,0.003408643,0.013607555,0.0017166783],"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":[0.000010779977,0.000012876475,0.00015764021,0.00015531942,0.0000075550483,0.00007161115,0.0008463085,0.0002489037,0.00007337819,0.97942495,0.011610389,0.0073804343],"study_design_scores_gemma":[0.000010676051,0.00002836924,0.0008187084,0.0005563698,0.00001222156,0.00032297306,0.0010972421,0.001586438,0.00020439981,0.862694,0.13262463,0.000043933444],"about_ca_topic_score_codex":0.0021873303,"about_ca_topic_score_gemma":0.0013259731,"teacher_disagreement_score":0.015459546,"about_ca_system_score_codex":0.0034109012,"about_ca_system_score_gemma":0.0015733757,"threshold_uncertainty_score":0.08175892},"labels":[],"label_agreement":null},{"id":"W3152044005","doi":"10.1093/jeg/lbab008","title":"Local sectoral specialization in a warming world","year":2021,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":68,"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":"Generalitat de Catalunya; Society of Gastrointestinal Radiologists","keywords":"Agriculture; Climate change; Global warming; Geography; Economic geography; Latitude; Productivity; Population; Natural resource economics; Greenhouse gas; China; Population growth; Economics; Ecology; Economic growth; Biology","score_opus":0.023667768218903984,"score_gpt":0.2177154172301771,"score_spread":0.1940476490112731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152044005","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":[0.99121207,0.00008278521,0.001812566,0.00020094613,0.0000028544707,0.000005821382,0.00021995863,0.00002846043,0.006434576],"genre_scores_gemma":[0.9994462,0.00003781243,0.00011451134,0.000009716325,0.000001879565,0.0000014102394,0.00006960921,0.0000030928354,0.0003156713],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9998388,0.000045190034,0.000005032529,0.000027786236,0.000017232574,0.00006588499],"domain_scores_gemma":[0.9993992,0.00011906043,0.00019432457,0.000085119085,0.00009459241,0.000107689404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040655272,0.00017112143,0.00027079188,0.0006495106,0.0002182042,0.0009799121,0.00022474442,0.0003557439,0.0049532265],"category_scores_gemma":[0.001291217,0.00013786613,0.00044969123,0.0011453802,0.00061655685,0.0008968235,0.00079108245,0.00023489672,0.00034814345],"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":[0.00021578245,0.00007783827,0.40208894,0.00007313881,0.00019903718,0.0007671928,0.0006571664,0.5463336,0.003515831,0.030033406,0.001935374,0.01410269],"study_design_scores_gemma":[0.00004811548,0.00016129114,0.57581645,0.000035406334,0.0000903051,0.00046401416,0.00188183,0.3673069,0.0014222814,0.045235604,0.0074943677,0.000043438995],"about_ca_topic_score_codex":0.00922475,"about_ca_topic_score_gemma":0.0077186,"teacher_disagreement_score":0.00922475,"about_ca_system_score_codex":0.0011299293,"about_ca_system_score_gemma":0.0002604438,"threshold_uncertainty_score":0.018342078},"labels":[],"label_agreement":null},{"id":"W3155220122","doi":"10.3386/w28163","title":"Local Sectoral Specialization in a Warming World","year":2020,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Global warming; Warming up; Economic geography; Geography; Business; Environmental science; Economics; Climate change; Geology; Biology; Oceanography","score_opus":0.40786376465500224,"score_gpt":0.4430632593418256,"score_spread":0.035199494686823374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155220122","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":[0.98925847,0.00011930024,0.0025715912,0.00020903727,0.0000031483416,0.000005163878,0.00021666918,0.000032689422,0.0075839227],"genre_scores_gemma":[0.999113,0.00007544008,0.00020190026,0.000014777982,0.000002441053,0.0000019836236,0.00008691087,0.0000051196275,0.000498478],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998671,0.000035429748,0.0000037566647,0.000023851218,0.000014341943,0.000055540426],"domain_scores_gemma":[0.99959797,0.00007751102,0.00013778907,0.000059826165,0.000053803127,0.00007310299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031316202,0.00017223095,0.00022700136,0.0005371765,0.00020719111,0.00082973036,0.00019453211,0.0003222334,0.0039664404],"category_scores_gemma":[0.0010349789,0.00014158069,0.00045109083,0.0010136811,0.00051544077,0.0009695432,0.0006975483,0.00020282599,0.0003386566],"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":[0.00022992607,0.00007419496,0.36902085,0.00007993247,0.0001890908,0.00085422845,0.00084866385,0.5588729,0.0038768072,0.04161379,0.0022917017,0.022047983],"study_design_scores_gemma":[0.000057499023,0.00015493558,0.57648385,0.00004038862,0.00010121271,0.0006007258,0.001964137,0.33824044,0.0015843752,0.0697927,0.0109352255,0.000044528224],"about_ca_topic_score_codex":0.0078069633,"about_ca_topic_score_gemma":0.00760148,"teacher_disagreement_score":0.0078069633,"about_ca_system_score_codex":0.0009559195,"about_ca_system_score_gemma":0.00025916888,"threshold_uncertainty_score":0.015523016},"labels":[],"label_agreement":null},{"id":"W3156502374","doi":"10.2139/ssrn.3560936","title":"Misallocation across Establishment Gender","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"University of Alberta","funders":"","keywords":"Psychology; Economics; Political science","score_opus":0.03592208976275638,"score_gpt":0.23099774716053295,"score_spread":0.19507565739777658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156502374","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":[0.9736501,0.0003569621,0.0012782535,0.00067722413,0.000026478045,0.00003415695,0.0005512426,0.000028805996,0.023396749],"genre_scores_gemma":[0.99365956,0.00009081154,0.00021408174,0.00013823593,0.00001975158,0.000010972734,0.00013482459,0.000016237573,0.0057154433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99676883,0.0009493838,0.00016996548,0.0005561501,0.00064081326,0.0009148691],"domain_scores_gemma":[0.9844589,0.006057459,0.00371333,0.002084808,0.0016868595,0.0019986096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029648184,0.00019986858,0.00048624031,0.0014163575,0.00078336825,0.0021602868,0.0007075398,0.00044010003,0.033287134],"category_scores_gemma":[0.013875478,0.00025398028,0.00033325652,0.0015775483,0.0010957306,0.0016980383,0.0025798671,0.00044763682,0.0028041014],"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":[0.0013025481,0.00032986692,0.8448352,0.00022110637,0.00014036884,0.0005309507,0.00654488,0.0013554693,0.0076186173,0.022497084,0.005944849,0.10867896],"study_design_scores_gemma":[0.000033676002,0.00018995783,0.9683021,0.00007408074,0.00006877061,0.00018780619,0.012301963,0.00061566656,0.0011982141,0.010491866,0.006516949,0.000018842],"about_ca_topic_score_codex":0.0054194694,"about_ca_topic_score_gemma":0.015953215,"teacher_disagreement_score":0.033287134,"about_ca_system_score_codex":0.0015550841,"about_ca_system_score_gemma":0.0009955871,"threshold_uncertainty_score":0.11135656},"labels":[],"label_agreement":null},{"id":"W3159865890","doi":"","title":"Is there a Grand Gender Convergence in Canada? â€“ The Jury is Still Out","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Convergence (economics); Context (archaeology); Economics; Distribution (mathematics); Resource (disambiguation); Demographic economics; Geography; Economic growth; Mathematics; Computer science","score_opus":0.07484453772297116,"score_gpt":0.2803725878570244,"score_spread":0.20552805013405323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159865890","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":[0.5126393,0.019861793,0.0037300417,0.21161142,0.0013273594,0.00009459987,0.0024982777,0.0001409358,0.24809629],"genre_scores_gemma":[0.94784945,0.0055556614,0.0017231543,0.01110781,0.000095309566,0.00002163156,0.0004924325,0.00006641509,0.033088103],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99767405,0.00014923365,0.00004477722,0.00034983907,0.00086859264,0.0009136222],"domain_scores_gemma":[0.9967771,0.00036155738,0.00017859256,0.000113097936,0.0019001319,0.00066947466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019378047,0.00026619222,0.00051063695,0.0018693533,0.012179237,0.005482321,0.0013301945,0.0015897033,0.010135089],"category_scores_gemma":[0.005397538,0.0001807823,0.000431168,0.0033880714,0.0062039373,0.0026250866,0.0021532665,0.0024513914,0.00047121904],"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":[0.00031865356,0.00006177858,0.09176249,0.00037070966,0.00008817176,0.0012322097,0.031390924,0.0009916978,0.00079130783,0.5358712,0.13228828,0.20483261],"study_design_scores_gemma":[0.000047796184,0.00009028439,0.2904176,0.0009887882,0.00011556859,0.0006961056,0.102216244,0.0038832224,0.0015611731,0.09202764,0.50764644,0.00030918085],"about_ca_topic_score_codex":0.9945527,"about_ca_topic_score_gemma":0.99598783,"teacher_disagreement_score":0.09150824,"about_ca_system_score_codex":0.09150824,"about_ca_system_score_gemma":0.13663337,"threshold_uncertainty_score":0.66394186},"labels":[],"label_agreement":null},{"id":"W3159885835","doi":"10.1111/caje.12512","title":"How much do global value chains boost innovation?","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Absorptive capacity; Value (mathematics); Economics; Production (economics); Global value chain; Emerging markets; Knowledge production; Industrial organization; International economics; International trade; Business; Microeconomics; Macroeconomics; Comparative advantage","score_opus":0.13051436341889863,"score_gpt":0.1822273809409044,"score_spread":0.05171301752200577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159885835","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":[0.94795036,0.0026348243,0.0025084186,0.0023141871,0.000050367344,0.000025042118,0.00020789188,0.000044360055,0.044264507],"genre_scores_gemma":[0.9981584,0.00052757113,0.00023856679,0.00012685228,0.000030611132,0.0000044493736,0.000030173389,0.0000043322425,0.0008789474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923813,0.00027955318,0.000020450685,0.000111740206,0.0001461983,0.00020395283],"domain_scores_gemma":[0.99020535,0.00537469,0.002183669,0.0006434689,0.0006911049,0.00090168364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019141748,0.00023107532,0.00043246718,0.00065122725,0.00030874842,0.0023778488,0.00026373976,0.0007639636,0.011673601],"category_scores_gemma":[0.0088812215,0.00011260029,0.00033797332,0.0009910554,0.0010330383,0.0024085315,0.0013131547,0.0005550309,0.0008461467],"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":[0.0018759344,0.0011510872,0.4534265,0.001996596,0.00095551927,0.00061043893,0.00197512,0.023576602,0.025471792,0.109417126,0.006698547,0.3728447],"study_design_scores_gemma":[0.00042338463,0.0029436485,0.63638145,0.001166193,0.0011295523,0.0005303848,0.006532246,0.012860651,0.029638402,0.23233601,0.0759643,0.000093749724],"about_ca_topic_score_codex":0.0009444179,"about_ca_topic_score_gemma":0.0011357886,"teacher_disagreement_score":0.011673601,"about_ca_system_score_codex":0.00071066566,"about_ca_system_score_gemma":0.0005865353,"threshold_uncertainty_score":0.03905207},"labels":[],"label_agreement":null},{"id":"W3161772936","doi":"10.2139/ssrn.2823699","title":"The Effect of Privatization on the Characteristics of Innovation","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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 de Sherbrooke","funders":"","keywords":"Business; Industrial organization","score_opus":0.010124943037579309,"score_gpt":0.19381353717356742,"score_spread":0.18368859413598812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161772936","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":[0.9958462,0.00024439016,0.00027894136,0.00029472559,0.0000055735118,0.000004797538,0.00030703165,0.0000114135055,0.003006925],"genre_scores_gemma":[0.9992847,0.00003988146,0.000021963093,0.000010899263,0.0000060251173,0.0000010553418,0.000094760784,0.000001851872,0.0005388161],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991979,0.00020845754,0.00008618199,0.00012247179,0.00012533751,0.00025967788],"domain_scores_gemma":[0.953153,0.029996276,0.010780792,0.0019997507,0.001520109,0.0025501393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016158259,0.00008570438,0.0003143058,0.0007233384,0.00029614312,0.0017143363,0.00030524386,0.0006040026,0.01075357],"category_scores_gemma":[0.015691692,0.00012785704,0.0005141368,0.0012644996,0.0010102123,0.0014849938,0.0008721889,0.0007540668,0.0005628861],"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":[0.0021967224,0.00035704672,0.9513306,0.00010348688,0.00029570746,0.00035736183,0.00045747202,0.010149058,0.005758745,0.01057059,0.0006748037,0.017748434],"study_design_scores_gemma":[0.00003364494,0.0002502865,0.99112904,0.000009699016,0.00007704512,0.00014142752,0.00044765393,0.002360053,0.0013154482,0.003254884,0.00096779916,0.000013103548],"about_ca_topic_score_codex":0.00372462,"about_ca_topic_score_gemma":0.004460888,"teacher_disagreement_score":0.01075357,"about_ca_system_score_codex":0.0009808774,"about_ca_system_score_gemma":0.00100149,"threshold_uncertainty_score":0.035974264},"labels":[],"label_agreement":null},{"id":"W3164284688","doi":"","title":"The Relationship between Average Annual and Quarter-On-Quarter GDP Growth Rates: Implications for Projections and Macroeconomic Analysis","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Real gross domestic product; Context (archaeology); Econometrics; Geography","score_opus":0.019661660111412127,"score_gpt":0.24595996071120393,"score_spread":0.2262983005997918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164284688","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":[0.20696066,0.031440936,0.5506796,0.12103702,0.003093773,0.00017472642,0.009742911,0.0013778245,0.07549258],"genre_scores_gemma":[0.8820916,0.019205421,0.08754701,0.001461447,0.0018507671,0.00021734001,0.0031048597,0.0003857589,0.0041358056],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99655724,0.0018585442,0.00026251076,0.00054894993,0.00058219006,0.00019046116],"domain_scores_gemma":[0.9520078,0.035962105,0.0051438445,0.0016455437,0.0044168658,0.00082390686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012189108,0.00085690967,0.00085167715,0.0024194126,0.00081454706,0.0074573494,0.0014971651,0.0018313942,0.0051990864],"category_scores_gemma":[0.10725503,0.00066651776,0.0006507492,0.00856624,0.0022193084,0.012074426,0.0027065277,0.0053057815,0.0010489892],"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":[0.00019518117,0.000058310492,0.046842724,0.00031390507,0.00013683399,0.00031630765,0.0008068238,0.115007386,0.00023099931,0.73956776,0.017737929,0.078785844],"study_design_scores_gemma":[0.000007113354,0.000033561766,0.025016569,0.00029178706,0.000035633453,0.00019669722,0.000981701,0.124372624,0.00027961965,0.83715844,0.011503837,0.00012240389],"about_ca_topic_score_codex":0.0138299065,"about_ca_topic_score_gemma":0.00605743,"teacher_disagreement_score":0.0138299065,"about_ca_system_score_codex":0.0019374727,"about_ca_system_score_gemma":0.002192489,"threshold_uncertainty_score":0.0644629},"labels":[],"label_agreement":null},{"id":"W3164579996","doi":"10.1080/2157930x.2021.1932062","title":"Catching-up national innovations systems (NIS) in China and post-catching-up NIS in Korea and Taiwan: verifying the detour hypothesis and policy implications","year":2021,"lang":"en","type":"article","venue":"Innovation and Development","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Academy of Korean Studies","keywords":"China; National innovation system; National Policy; Political science; Economic growth; Regional science; Development economics; Economics; Business; International trade; Economy; Geography","score_opus":0.05081702248495511,"score_gpt":0.2511039191609402,"score_spread":0.2002868966759851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164579996","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":[0.9986072,0.00007466849,0.00007473624,0.00013729327,0.0000015930095,0.0000061654277,0.000050945277,0.0000019593588,0.0010454798],"genre_scores_gemma":[0.9994199,0.00005364953,0.00004143339,0.000013079238,0.000001655901,0.0000053187846,0.00009365929,5.6165163e-7,0.00037075198],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948174,0.00005205725,0.00003952843,0.00008340841,0.00006844311,0.000274926],"domain_scores_gemma":[0.99636096,0.00057193794,0.001567118,0.0001736069,0.0005368972,0.0007894726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008782776,0.00016585983,0.0002109987,0.0014863465,0.00061905937,0.001158206,0.00031652834,0.00036456765,0.0018166734],"category_scores_gemma":[0.0022787342,0.00009037151,0.00035843783,0.0017489003,0.0008431547,0.0014839718,0.0016832951,0.0007297425,0.00010505174],"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":[0.00008208192,0.000095011324,0.9785967,0.000036159036,0.00003831413,0.00071027345,0.0017204699,0.00097431435,0.00057835376,0.0066134245,0.00021663934,0.010338232],"study_design_scores_gemma":[0.000007399253,0.00008860439,0.9902586,0.000021826068,0.00001815387,0.000051701118,0.0053616883,0.0018930078,0.00037855716,0.0007801077,0.0011304605,0.000009944266],"about_ca_topic_score_codex":0.044392586,"about_ca_topic_score_gemma":0.04651515,"teacher_disagreement_score":0.044392586,"about_ca_system_score_codex":0.0019179081,"about_ca_system_score_gemma":0.0028978402,"threshold_uncertainty_score":0.0882684},"labels":[],"label_agreement":null},{"id":"W3170494682","doi":"10.7208/chicago/9780226613475.001.0001","title":"The Economics of Artificial Intelligence","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":389,"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":"Artificial intelligence; Computer science","score_opus":0.0807286348566494,"score_gpt":0.24267633185631074,"score_spread":0.16194769699966133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170494682","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005316265,0.08634058,0.016281499,0.0963348,0.0020716367,0.00009278554,0.00033351802,0.00008830098,0.7931406],"genre_scores_gemma":[0.6368281,0.13771044,0.012465693,0.02930581,0.009185168,0.00058454816,0.00044420402,0.00020151048,0.17327452],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99443024,0.002449135,0.00017969284,0.00053649186,0.0019825087,0.00042186683],"domain_scores_gemma":[0.99518716,0.002931289,0.00029856505,0.0007118642,0.0006035881,0.00026745134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041663153,0.00077006716,0.0007942863,0.0021903107,0.0019621497,0.010071186,0.0010235733,0.0040112627,0.01276007],"category_scores_gemma":[0.00957733,0.00044462064,0.00055097305,0.0022327737,0.014216069,0.008155817,0.0034467524,0.004018835,0.0023619046],"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":[0.0000063932475,0.000006653,0.00017188415,0.000057163154,0.000011421123,0.000021589274,0.00006816525,0.0005222247,0.000026271126,0.9805675,0.010270316,0.008270292],"study_design_scores_gemma":[0.000008268634,0.000013148176,0.0004085759,0.00026455754,0.000005868284,0.000056790344,0.0001541456,0.0006448668,0.00004515905,0.8277223,0.1706684,0.000007894892],"about_ca_topic_score_codex":0.0027134495,"about_ca_topic_score_gemma":0.002034452,"teacher_disagreement_score":0.01276007,"about_ca_system_score_codex":0.0068762647,"about_ca_system_score_gemma":0.004718414,"threshold_uncertainty_score":0.049890995},"labels":[],"label_agreement":null},{"id":"W3170773358","doi":"","title":"Liberalizing Research in Science and Technology: Studies in Science Policy — Conference Report, Kanpur, India","year":2010,"lang":"en","type":"article","venue":"Социология науки и технологий","topic":"Economic Growth and Productivity","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":"China; Political science; Economic growth; Social science; Geography; Socioeconomics; Sociology; Law; Economics","score_opus":0.17199309498163495,"score_gpt":0.3783470257475867,"score_spread":0.20635393076595177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170773358","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14947265,0.26636893,0.0015873078,0.21156123,0.0042613205,0.0003515119,0.008523894,0.00050873036,0.35736442],"genre_scores_gemma":[0.6651644,0.20480645,0.0016336883,0.004154253,0.0014843208,0.0005010355,0.006882313,0.00015826913,0.1152153],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99810827,0.00055165595,0.00011931158,0.00013627658,0.0004839083,0.0006005632],"domain_scores_gemma":[0.991033,0.003933948,0.00061707373,0.00046108078,0.0025033492,0.0014514772],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0031486375,0.00053715473,0.00037727648,0.0031551847,0.0022407072,0.007818319,0.0012553141,0.0014678066,0.014831419],"category_scores_gemma":[0.004129922,0.00051863235,0.00035261034,0.012067626,0.0009860134,0.0038116376,0.0026344175,0.0028510168,0.0021197542],"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":[0.0006169784,0.0005170313,0.02326946,0.0033761507,0.000119917946,0.0010405455,0.0091940295,0.0024176503,0.0022758893,0.06431601,0.78591645,0.106939964],"study_design_scores_gemma":[0.00008199122,0.00011965463,0.12616117,0.0010871643,0.00008489778,0.0005259374,0.017160168,0.0006612265,0.0030583201,0.005060513,0.845923,0.00007599715],"about_ca_topic_score_codex":0.028109778,"about_ca_topic_score_gemma":0.03225077,"teacher_disagreement_score":0.9977593,"about_ca_system_score_codex":0.008155921,"about_ca_system_score_gemma":0.019518312,"threshold_uncertainty_score":0.05917567},"labels":[],"label_agreement":null},{"id":"W3175208314","doi":"","title":"Détermination du PIB réel trimestriel du Québec et analyse du cycle économique, 1948-1980","year":2021,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Business cycle; Humanities; Recession; Political science; Economics; Art; Keynesian economics","score_opus":0.03488880321533018,"score_gpt":0.2776027744595625,"score_spread":0.24271397124423233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175208314","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":[0.9448996,0.0024894725,0.0032952281,0.00035023235,0.000020851403,0.00011346083,0.016790733,0.00008348201,0.03195683],"genre_scores_gemma":[0.9638811,0.0009931703,0.0027113003,0.000054297885,0.000013556152,0.000097226184,0.009047042,0.000022589353,0.023179732],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998293,0.0000124545595,0.0000063838165,0.000033349144,0.00007026489,0.00004815659],"domain_scores_gemma":[0.999323,0.00006345677,0.000102972015,0.000025834614,0.000426626,0.000058158494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032381443,0.00024440847,0.00018136603,0.004443462,0.00092151924,0.0008302198,0.00043334803,0.00019633779,0.005030843],"category_scores_gemma":[0.0013086132,0.000108717,0.00022487943,0.004203022,0.00024811437,0.00030276002,0.00026636917,0.0002363996,0.00053937756],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011182645,0.000034446337,0.9023363,0.00008633915,0.0000888262,0.0002231881,0.0010318313,0.004101569,0.0016573163,0.0041266675,0.006229606,0.07997216],"study_design_scores_gemma":[0.0000026603343,0.0000069732905,0.9813069,0.00002298851,0.0000098442,0.000030209932,0.00029678518,0.0023732658,0.00032714996,0.00010290334,0.015514709,0.000005589726],"about_ca_topic_score_codex":0.9747683,"about_ca_topic_score_gemma":0.98315984,"teacher_disagreement_score":0.98856825,"about_ca_system_score_codex":0.011431739,"about_ca_system_score_gemma":0.0058678803,"threshold_uncertainty_score":0.08294344},"labels":[],"label_agreement":null},{"id":"W3185435201","doi":"","title":"The Causes of Japan’s Economic Slowdown: An Analysis Based on the Japan Industrial Productivity Database","year":2021,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Slowdown; Economics; Productivity; Total factor productivity; Stock (firearms); Growth accounting; Investment (military); Macroeconomics; Economic growth; Geography","score_opus":0.057586501073060244,"score_gpt":0.2570584845563657,"score_spread":0.19947198348330547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185435201","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":[0.9728793,0.0024490128,0.00028329022,0.0007855848,0.000047779653,0.00002940527,0.020671455,0.00005382195,0.0028003906],"genre_scores_gemma":[0.9645126,0.001755584,0.00022624631,0.0001717004,0.00006122248,0.000037930506,0.03257231,0.000024013374,0.000638438],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988544,0.000086705186,0.00026469133,0.00019075804,0.00031740463,0.00028593114],"domain_scores_gemma":[0.9923943,0.0006789649,0.00386611,0.00027843958,0.0022329094,0.00054917124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015629327,0.00044690966,0.00066119945,0.0063877823,0.00065914047,0.002115213,0.00045613782,0.0003717177,0.0011334934],"category_scores_gemma":[0.005619067,0.00032658642,0.00080973934,0.011138167,0.0002797772,0.001069762,0.0017218795,0.0007893637,0.00036395752],"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":[0.00008856027,0.000023312716,0.9865106,0.00014104396,0.0001438966,0.0003532934,0.0004522815,0.00034040987,0.00022642323,0.00025947992,0.004990022,0.006470714],"study_design_scores_gemma":[0.0000039840916,0.000009221784,0.99613154,0.000029742801,0.000058670557,0.00006605182,0.00050186465,0.0005011821,0.0001160043,0.000034098826,0.0025395935,0.00000804999],"about_ca_topic_score_codex":0.100412615,"about_ca_topic_score_gemma":0.06256531,"teacher_disagreement_score":0.100412615,"about_ca_system_score_codex":0.0018159878,"about_ca_system_score_gemma":0.0017109907,"threshold_uncertainty_score":0.19965631},"labels":[],"label_agreement":null},{"id":"W3186864182","doi":"10.5430/jms.v12n2p24","title":"The Influence of FDI and Human Capital Inflow on Technological Progress","year":2021,"lang":"en","type":"article","venue":"Journal of Management and Strategy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Human capital; Foreign direct investment; Spillover effect; China; Technological change; Economic geography; Panel data; Economics; Economic system; International trade; Capital (architecture); Business; International economics; Industrial organization; Economic growth; Macroeconomics; Geography","score_opus":0.021876988395006822,"score_gpt":0.2225048331236077,"score_spread":0.20062784472860087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186864182","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":[0.9955841,0.00041665242,0.0002960679,0.0002944893,0.000008946779,0.0000064493743,0.0004011451,0.000015421632,0.0029768075],"genre_scores_gemma":[0.99890375,0.00018165962,0.00004371334,0.000014818745,0.0000072857297,0.0000023943876,0.00015274022,0.000001136179,0.0006924005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999243,0.00018556027,0.00004328143,0.00010955461,0.000104384926,0.00031431764],"domain_scores_gemma":[0.99517006,0.00217883,0.0012651864,0.00020365592,0.0004535473,0.00072864554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010147924,0.00027951616,0.00033736328,0.0013886614,0.00037400503,0.0010524051,0.00022063202,0.0003475184,0.0028769744],"category_scores_gemma":[0.0043525225,0.00015866633,0.00056636374,0.0014648981,0.00083116064,0.00067779084,0.0007678373,0.00058448495,0.00029885606],"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":[0.00010099139,0.000043106713,0.9796006,0.00003910325,0.00015668324,0.00033198704,0.0002871051,0.00852206,0.00040219806,0.0015401492,0.00040518382,0.008570759],"study_design_scores_gemma":[0.000010429519,0.000041675958,0.991911,0.000022671342,0.000116694115,0.00006730526,0.00036585418,0.005673617,0.00030221912,0.0004709523,0.001004952,0.00001269452],"about_ca_topic_score_codex":0.061799172,"about_ca_topic_score_gemma":0.06070942,"teacher_disagreement_score":0.061799172,"about_ca_system_score_codex":0.0013990852,"about_ca_system_score_gemma":0.0018602798,"threshold_uncertainty_score":0.12287891},"labels":[],"label_agreement":null},{"id":"W3187239730","doi":"10.1080/00036846.2022.2038776","title":"Fourier DF unit root test for R&D intensity of G7 countries","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unit root; Econometrics; Economics; Unit root test; Intensity (physics); Augmented Dickey–Fuller test; Mathematics; Unit (ring theory); Fourier transform; Cointegration; Physics; Mathematical analysis","score_opus":0.0629865378758811,"score_gpt":0.29155545731718746,"score_spread":0.22856891944130636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187239730","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":[0.972357,0.00045803917,0.010632494,0.0008531582,0.00012523122,0.00007740587,0.0034105408,0.00013156286,0.011954719],"genre_scores_gemma":[0.99636793,0.000060058155,0.0011826806,0.00007684222,0.00004516072,0.000050306582,0.0014530555,0.00002458183,0.00073932635],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9943942,0.0016546197,0.00046559994,0.0015107221,0.0012108695,0.0007639622],"domain_scores_gemma":[0.9499748,0.035990585,0.0072194003,0.0026429477,0.0028813712,0.0012908132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057667824,0.0004531695,0.0011732354,0.0029416967,0.00051827234,0.0015326564,0.0010257688,0.0012042893,0.012426581],"category_scores_gemma":[0.030445447,0.00015683065,0.0015579676,0.0033368373,0.0016984184,0.0014882336,0.0014675837,0.0019353955,0.001789166],"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":[0.00073557475,0.00025843695,0.89302874,0.00025838098,0.0014450744,0.0011114259,0.0010933743,0.008379964,0.0022062983,0.020769754,0.0104923565,0.060220636],"study_design_scores_gemma":[0.00016351134,0.0010029193,0.90964836,0.00013427495,0.00061912497,0.00054039084,0.004697393,0.05296535,0.0042460808,0.011611793,0.014273266,0.00009760348],"about_ca_topic_score_codex":0.0045096427,"about_ca_topic_score_gemma":0.0015167956,"teacher_disagreement_score":0.012426581,"about_ca_system_score_codex":0.00066585175,"about_ca_system_score_gemma":0.0010448362,"threshold_uncertainty_score":0.04157108},"labels":[],"label_agreement":null},{"id":"W3188229264","doi":"","title":"Measuring the Volume of Services Industries Output and Productivity: An Audit of Services Producer Price Indices in OECD Countries","year":2021,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inflation (cosmology); Economics; Productivity; Price index; Goods and services; Quality (philosophy); Monetary economics; Econometrics; Macroeconomics; Economy","score_opus":0.032174634230434755,"score_gpt":0.22468791441608332,"score_spread":0.19251328018564856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188229264","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":[0.88148093,0.003516785,0.006195303,0.0011716314,0.00017892706,0.0004026694,0.04530928,0.00067679293,0.061067652],"genre_scores_gemma":[0.93226284,0.007563663,0.012008468,0.00024914736,0.00024096937,0.0003988078,0.039049346,0.00031403327,0.0079127345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.990703,0.0012936693,0.0013064002,0.00042708762,0.0058777025,0.0003921775],"domain_scores_gemma":[0.9457878,0.007741665,0.011992956,0.004028535,0.029679904,0.000769122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008825388,0.0004446662,0.00033714448,0.012986683,0.00044896503,0.0023089028,0.00045548085,0.00025785642,0.0008811586],"category_scores_gemma":[0.026163097,0.00025078526,0.0004642274,0.025559,0.00061490404,0.0015279606,0.0014412887,0.0005333498,0.0005962205],"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":[0.00018843423,0.000058198053,0.84243375,0.00040696052,0.00009030859,0.00027538976,0.0013780032,0.0014620423,0.0012238198,0.0013762079,0.01511298,0.1359939],"study_design_scores_gemma":[0.0000069725497,0.00008696844,0.9655438,0.00013508581,0.000025855295,0.0001568268,0.000893047,0.0007558295,0.0022513547,0.00022139591,0.029897965,0.000024840478],"about_ca_topic_score_codex":0.026433654,"about_ca_topic_score_gemma":0.017400928,"teacher_disagreement_score":0.026433654,"about_ca_system_score_codex":0.0022357854,"about_ca_system_score_gemma":0.0024411506,"threshold_uncertainty_score":0.052559555},"labels":[],"label_agreement":null},{"id":"W3192090834","doi":"10.2139/ssrn.4696275","title":"Large Firms and the Cyclicality of Us Labour Productivity","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Bank of Canada; Government of Canada; Carleton University","funders":"","keywords":"Stylized fact; Productivity; Margin (machine learning); Business cycle; Labour economics; Economics; Relevance (law); Macroeconomics","score_opus":0.012612840705194426,"score_gpt":0.21921043294032355,"score_spread":0.20659759223512913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192090834","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":[0.9879068,0.0023926385,0.001553344,0.0018453903,0.000033107804,0.0000071839077,0.0018273713,0.00003935464,0.0043947077],"genre_scores_gemma":[0.9985469,0.0004941856,0.00007909837,0.000036755402,0.00003909418,0.0000027900408,0.0004032249,0.000005759521,0.0003922051],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996543,0.000085996675,0.00003633111,0.00008381931,0.00006372649,0.000075741045],"domain_scores_gemma":[0.9868798,0.0068045617,0.004382473,0.0006867437,0.0007335388,0.000512792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016168816,0.00014439748,0.00022213321,0.0021139092,0.0003079268,0.0020583665,0.0002977293,0.0007204215,0.0024209945],"category_scores_gemma":[0.013510321,0.00022517834,0.0002660902,0.004294514,0.00076535356,0.0011336133,0.0007191587,0.0007965186,0.0002958784],"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":[0.00031888028,0.000064083215,0.9389981,0.000056656776,0.00017253314,0.00033371645,0.0007933248,0.009007291,0.0010620374,0.016411077,0.0039981008,0.028784283],"study_design_scores_gemma":[0.00001093567,0.00003481562,0.9730698,0.000038275823,0.000041532167,0.00015024585,0.0006393559,0.010326567,0.00032558036,0.011329699,0.004012791,0.000020371726],"about_ca_topic_score_codex":0.016295183,"about_ca_topic_score_gemma":0.01717266,"teacher_disagreement_score":0.016295183,"about_ca_system_score_codex":0.0011541789,"about_ca_system_score_gemma":0.00048823486,"threshold_uncertainty_score":0.032400668},"labels":[],"label_agreement":null},{"id":"W3193006050","doi":"","title":"Wages, Skills, and Skill-Biased Technical Change: The Canonical Model Revisited","year":2021,"lang":"en","type":"preprint","venue":"Project Muse (Johns Hopkins University)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Economics; Technical change; Econometrics; Investment (military); Technological change; Counterintuitive; Wage; Recession; Labour economics; Productivity; Macroeconomics","score_opus":0.040985389934261394,"score_gpt":0.2243252132813524,"score_spread":0.183339823347091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193006050","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":[0.49232247,0.005131492,0.38467968,0.034394737,0.00063326466,0.00023062124,0.0016857716,0.00044234222,0.080479644],"genre_scores_gemma":[0.9474769,0.0042324024,0.019355776,0.0010541982,0.00061140454,0.00016303093,0.00040277498,0.00012130519,0.026582187],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993326,0.00027873943,0.000025113715,0.00015204829,0.000089490604,0.00012192062],"domain_scores_gemma":[0.99753153,0.0011558932,0.0004344151,0.00027634494,0.00031574396,0.00028609706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024400186,0.0008228159,0.0010037252,0.0012986158,0.0006639501,0.0022860253,0.0015790917,0.0019370957,0.009119793],"category_scores_gemma":[0.008462823,0.00051806465,0.0013845144,0.0018186787,0.0023999128,0.0023702043,0.0017149216,0.0024260979,0.001742126],"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":[0.00009743801,0.00012612289,0.024089782,0.00012545254,0.00008605404,0.0002252223,0.00060498994,0.12717861,0.00039868514,0.8112328,0.007208385,0.028626462],"study_design_scores_gemma":[0.000054320113,0.00006626294,0.011752228,0.00005994355,0.000044703305,0.00015086401,0.00024129485,0.34379026,0.00007132383,0.6370574,0.006665415,0.000045872082],"about_ca_topic_score_codex":0.024088293,"about_ca_topic_score_gemma":0.016861718,"teacher_disagreement_score":0.024088293,"about_ca_system_score_codex":0.0015922133,"about_ca_system_score_gemma":0.0017292924,"threshold_uncertainty_score":0.047896147},"labels":[],"label_agreement":null},{"id":"W3193504402","doi":"","title":"US growth revised lower in first quarter, with economy shrinking by 5%","year":2020,"lang":"en","type":"article","venue":"FOXBusiness","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Economics; History","score_opus":0.01718845098786017,"score_gpt":0.17023342050402634,"score_spread":0.15304496951616617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193504402","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1887133,0.021723077,0.0062682717,0.13114199,0.025666077,0.00014826652,0.27813983,0.0055224486,0.34267667],"genre_scores_gemma":[0.5745935,0.009851659,0.004062994,0.020792045,0.0029483302,0.00023254406,0.12798053,0.0008943336,0.25864404],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99924135,0.00006552671,0.00007762144,0.00011358544,0.0003381753,0.00016372284],"domain_scores_gemma":[0.9973175,0.00010169537,0.00029989463,0.0001069139,0.001891567,0.00028251004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007114415,0.00086000905,0.00046488325,0.0020762584,0.0009283964,0.0037166448,0.00042374415,0.00132936,0.017482327],"category_scores_gemma":[0.0038162845,0.00021177871,0.0006346415,0.00311497,0.00041820822,0.0014080937,0.0011666146,0.0020461464,0.007265755],"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":[0.00026827492,0.00007238765,0.048745286,0.0003073022,0.000066763496,0.00019100017,0.0003223411,0.0006553889,0.0011889508,0.019532237,0.8354939,0.09315622],"study_design_scores_gemma":[0.000029141456,0.00008318073,0.13855413,0.00021908914,0.000035458233,0.0003723304,0.0006043914,0.0007251783,0.00161692,0.0018568893,0.8558767,0.00002656327],"about_ca_topic_score_codex":0.11570855,"about_ca_topic_score_gemma":0.08017471,"teacher_disagreement_score":0.11570855,"about_ca_system_score_codex":0.0037119265,"about_ca_system_score_gemma":0.004318842,"threshold_uncertainty_score":0.23007011},"labels":[],"label_agreement":null},{"id":"W3194513023","doi":"10.3386/w29173","title":"Innovation: Market Failures and Public Policies","year":2021,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Market failure; Business; Industrial organization; Economics; Microeconomics","score_opus":0.34505807835500946,"score_gpt":0.4287484324437025,"score_spread":0.08369035408869302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194513023","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017592419,0.113757595,0.01730165,0.46959913,0.0036409162,0.000060392205,0.00030665172,0.00015232866,0.377589],"genre_scores_gemma":[0.77780783,0.11215831,0.003597867,0.029169764,0.016599981,0.0002383069,0.00023322829,0.0001938449,0.060000807],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9963973,0.0015493603,0.000120332246,0.00042079305,0.00088809687,0.000624074],"domain_scores_gemma":[0.9845425,0.01198608,0.0011251834,0.0008215579,0.0010055392,0.00051912497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007192521,0.00044790423,0.0007666415,0.0022115095,0.002333126,0.009805223,0.00092883786,0.006135591,0.018583259],"category_scores_gemma":[0.019628389,0.00024475032,0.0005820814,0.0028022178,0.010548404,0.012576219,0.0031191704,0.005372856,0.0013765057],"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":[0.000005538641,0.00001148786,0.00011774019,0.000057624373,0.000004669571,0.000014295592,0.00018559062,0.000503715,0.000015454538,0.97697043,0.012843024,0.009270261],"study_design_scores_gemma":[0.000009630168,0.000006810627,0.0002858348,0.00020351759,0.000004512639,0.000017898832,0.00020487413,0.0004880562,0.000044026277,0.93416506,0.06456252,0.0000072669586],"about_ca_topic_score_codex":0.0020746142,"about_ca_topic_score_gemma":0.0010348625,"teacher_disagreement_score":0.018583259,"about_ca_system_score_codex":0.005705139,"about_ca_system_score_gemma":0.0041053104,"threshold_uncertainty_score":0.062167227},"labels":[],"label_agreement":null},{"id":"W3195218326","doi":"","title":"US economic growth rebounds at 3.2 percent pace in first quarter","year":2019,"lang":"en","type":"article","venue":"FOXBusiness","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Pace; Economics; Geography","score_opus":0.013041397080922735,"score_gpt":0.1827147480370063,"score_spread":0.16967335095608357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195218326","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.612275,0.008426704,0.0053067724,0.05443917,0.011529875,0.000119417986,0.09624141,0.0063912407,0.20527035],"genre_scores_gemma":[0.7734723,0.006077865,0.0018743197,0.007121446,0.0016301783,0.000100615085,0.06286823,0.0004509522,0.14640407],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99951136,0.000022395503,0.00002422654,0.000041124436,0.00028968742,0.00011125041],"domain_scores_gemma":[0.99802554,0.00013787403,0.00032545472,0.00007341663,0.0012410058,0.00019670295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051572267,0.0006446206,0.00028843782,0.0016551488,0.0007573698,0.002656788,0.0004096026,0.0010507536,0.011495669],"category_scores_gemma":[0.003173135,0.00018829947,0.00042615342,0.0022860756,0.00025740394,0.0010117886,0.00083480985,0.0015566183,0.0059649046],"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":[0.00044283833,0.00015815374,0.0995597,0.00016680405,0.000050924154,0.00032096502,0.00043811763,0.0009406834,0.0029336608,0.0081554055,0.7471253,0.13970742],"study_design_scores_gemma":[0.000030840303,0.00023739727,0.36453098,0.0001271666,0.000036880538,0.00046746767,0.0013093799,0.0034927384,0.009058231,0.0017711752,0.6188924,0.000045371627],"about_ca_topic_score_codex":0.10131877,"about_ca_topic_score_gemma":0.09614491,"teacher_disagreement_score":0.10131877,"about_ca_system_score_codex":0.002641482,"about_ca_system_score_gemma":0.0021809598,"threshold_uncertainty_score":0.2014581},"labels":[],"label_agreement":null},{"id":"W3196716444","doi":"10.5539/ijef.v13n10p54","title":"Growth Sectors in Morocco and Investment Potential: A Quantitative Analysis","year":2021,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Economics; Diversification (marketing strategy); Decentralization; Economic policy; Public sector; Politics; Subsidy; Corporate governance; Business; Market economy; Economy; Finance; Political science","score_opus":0.023206101488937734,"score_gpt":0.22727826295466588,"score_spread":0.20407216146572815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196716444","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":[0.971582,0.0014884132,0.00046631834,0.00053144014,0.000010155532,0.00004671549,0.006724587,0.000024971756,0.019125447],"genre_scores_gemma":[0.9934186,0.00060280395,0.00028909446,0.00004541448,0.000022482054,0.00006849794,0.0029690766,0.000005682933,0.0025782983],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996561,0.00008119646,0.000017438522,0.000031924057,0.000069740454,0.00014364957],"domain_scores_gemma":[0.99762875,0.0012410658,0.000550367,0.000051543004,0.00032372368,0.0002045984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007270918,0.0003099266,0.00026176768,0.0038896773,0.00053135393,0.0023714348,0.0003505903,0.0003391831,0.005342698],"category_scores_gemma":[0.0023819222,0.00013849093,0.00041893823,0.004879065,0.00050414633,0.00078366464,0.0008277009,0.0004437433,0.00066594855],"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":[0.00014274174,0.00008024134,0.95650965,0.00019049621,0.000106251005,0.0005678411,0.0034176735,0.004230844,0.00035980265,0.010026652,0.0035004015,0.020867357],"study_design_scores_gemma":[0.0000051979496,0.000063907,0.96260226,0.00009544973,0.0000416466,0.00016925074,0.011526113,0.005513499,0.00018368437,0.0011331013,0.01865148,0.000014367925],"about_ca_topic_score_codex":0.03884841,"about_ca_topic_score_gemma":0.028317321,"teacher_disagreement_score":0.03884841,"about_ca_system_score_codex":0.0033625911,"about_ca_system_score_gemma":0.0008061631,"threshold_uncertainty_score":0.07724458},"labels":[],"label_agreement":null},{"id":"W3198712608","doi":"10.1007/978-3-030-63591-6_62","title":"On a Generalized Integro-Differential Spatial Model of Economic Growth","year":2021,"lang":"en","type":"book-chapter","venue":"Springer proceedings in mathematics & statistics","topic":"Economic Growth and Productivity","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 Guelph","funders":"","keywords":"Extension (predicate logic); Growth model; Differential (mechanical device); Production (economics); Nonlinear system; Function (biology); Computer science; Mathematical optimization; Economic model; Growth function; Mathematics; Applied mathematics; Mathematical economics; Economics; Engineering; Microeconomics","score_opus":0.036742433514007064,"score_gpt":0.22491969344565743,"score_spread":0.18817725993165035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198712608","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":[0.07130447,0.0078103053,0.83058256,0.0141471205,0.0012969888,0.000060842085,0.0009969455,0.00036763685,0.07343311],"genre_scores_gemma":[0.8375497,0.008061866,0.06149698,0.0019724711,0.0018508125,0.00019047009,0.00087696256,0.00037856968,0.08762216],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99956363,0.00021376855,0.000021629654,0.00007184133,0.00007010776,0.000059040027],"domain_scores_gemma":[0.9987017,0.0007257159,0.00013340978,0.00008290018,0.00019554296,0.0001607508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014997071,0.0013580718,0.0017467663,0.0012393054,0.00084797415,0.003024595,0.002448632,0.0029990033,0.0059637083],"category_scores_gemma":[0.0039049103,0.0006810942,0.0016136495,0.0021587291,0.0028748687,0.0038553968,0.0020890206,0.0025039373,0.00074221677],"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":[0.000009375736,0.000014090778,0.00021880586,0.000030395355,0.00001836745,0.000072186864,0.00006523655,0.0785642,0.00022834091,0.91691816,0.002125629,0.0017352528],"study_design_scores_gemma":[0.0000111009,0.000008693077,0.00013290746,0.000010114638,0.000010851539,0.000045254124,0.00002640093,0.36679453,0.000029181338,0.6310381,0.0018788654,0.000013911517],"about_ca_topic_score_codex":0.012727955,"about_ca_topic_score_gemma":0.0073793335,"teacher_disagreement_score":0.012727955,"about_ca_system_score_codex":0.0020855952,"about_ca_system_score_gemma":0.001578096,"threshold_uncertainty_score":0.025307715},"labels":[],"label_agreement":null},{"id":"W3202581213","doi":"10.1016/bs.hesind.2021.11.013","title":"Innovation: market failures and public policies","year":2021,"lang":"en","type":"book-chapter","venue":"Handbook of Industrial Organization","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":40,"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":"Market failure; Work (physics); Industrial organization; State (computer science); Economics; Public policy; Open innovation; Inequality; Innovation economics; Business; Public economics; Neoclassical economics; Economic system; Marketing; Engineering; Economic growth; Computer science","score_opus":0.0621530513452183,"score_gpt":0.19700623340273166,"score_spread":0.13485318205751334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202581213","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":[0.0071220803,0.23115015,0.012109644,0.09563919,0.0025030493,0.000039324284,0.00054047565,0.0001582443,0.6507378],"genre_scores_gemma":[0.27936563,0.24428645,0.004428331,0.00991701,0.009070592,0.00013361125,0.0005653128,0.00016053914,0.45207247],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99958795,0.00015020723,0.000014150342,0.000042253498,0.00014107233,0.00006434937],"domain_scores_gemma":[0.998018,0.001369213,0.00015241368,0.00010244931,0.0002373433,0.000120586155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010004715,0.00053796225,0.0007028999,0.0013618136,0.00073551777,0.0048971474,0.0008094083,0.0027882273,0.020799385],"category_scores_gemma":[0.003629654,0.0002615666,0.00022081449,0.002668949,0.0034215772,0.0054323585,0.00078523555,0.0024170487,0.002846007],"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":[0.00001049907,0.00003753266,0.00020422284,0.00008463126,0.000005742206,0.000030425355,0.00022411508,0.00087748206,0.000043595446,0.8252444,0.12559588,0.04764145],"study_design_scores_gemma":[0.000008900734,0.00000766136,0.000584402,0.0002493081,0.0000040967725,0.000046589703,0.00023117536,0.00065021054,0.000049252805,0.7671718,0.23098986,0.000006767642],"about_ca_topic_score_codex":0.004363024,"about_ca_topic_score_gemma":0.005075554,"teacher_disagreement_score":0.020799385,"about_ca_system_score_codex":0.0025631764,"about_ca_system_score_gemma":0.0031745294,"threshold_uncertainty_score":0.06958091},"labels":[],"label_agreement":null},{"id":"W3204528404","doi":"","title":"Lead-lag between female employment and economic growth: evidence from Canada","year":2017,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Economic Growth and Productivity","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":"Casual; Economics; Causality (physics); Business cycle; Labour economics; Demographic economics; Macroeconomics; Political science","score_opus":0.0639533251685259,"score_gpt":0.2215059905493566,"score_spread":0.15755266538083068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204528404","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":[0.9475602,0.01182846,0.0003443465,0.005363626,0.000118664684,0.00005330803,0.017876469,0.00003055908,0.016824376],"genre_scores_gemma":[0.98062783,0.00797663,0.00021767091,0.00042939498,0.000036605095,0.000015190538,0.006720529,0.0000180716,0.0039581056],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987594,0.00011552026,0.000072796036,0.00016217337,0.00043276887,0.0004573536],"domain_scores_gemma":[0.9873821,0.0027901565,0.0020114766,0.000479332,0.0056137242,0.0017231574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016698153,0.00036534716,0.00065768405,0.0019535627,0.0023302864,0.001920363,0.0012035972,0.000539365,0.006874812],"category_scores_gemma":[0.008601776,0.0002914709,0.00074850576,0.0076138135,0.0011576137,0.00054737594,0.0012013568,0.0013261081,0.00053650007],"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":[0.00039326804,0.0001008304,0.96492773,0.00023563667,0.000243089,0.0003924878,0.0015800283,0.00049110246,0.00007853332,0.002056239,0.009673896,0.019827183],"study_design_scores_gemma":[0.000050510862,0.00003549023,0.9867899,0.00029306984,0.00022908716,0.00008061412,0.0032796578,0.00074534514,0.00014636431,0.0003194035,0.008000764,0.000029776493],"about_ca_topic_score_codex":0.99444985,"about_ca_topic_score_gemma":0.99522096,"teacher_disagreement_score":0.015265967,"about_ca_system_score_codex":0.015265967,"about_ca_system_score_gemma":0.030469976,"threshold_uncertainty_score":0.110762835},"labels":[],"label_agreement":null},{"id":"W3210329147","doi":"10.33423/jabe.v22i5.3047","title":"R&amp;D, Learning by Doing and Economic Growth","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Imitation; Precondition; Investment (military); Economics; Human capital; Technological change; Economic system; Technical change; Government (linguistics); Industrial organization; Adaptation (eye); Market economy; Economic growth; Macroeconomics; Productivity; Political science; Computer science","score_opus":0.01874329263340817,"score_gpt":0.1789829888533423,"score_spread":0.1602396962199341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210329147","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":[0.53672534,0.05269077,0.02023873,0.020528352,0.00039777072,0.000099550845,0.0009710866,0.00024240564,0.36810598],"genre_scores_gemma":[0.9724708,0.012637661,0.0019783846,0.00029398713,0.00016709989,0.00002611754,0.00015933154,0.000018540237,0.012248092],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993818,0.00023283677,0.00003520587,0.00011018493,0.00011668743,0.00012332796],"domain_scores_gemma":[0.9947189,0.0027003698,0.0015513374,0.00022170496,0.00035645883,0.00045113527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011441164,0.0004616534,0.0003278402,0.0013887018,0.0006432054,0.0022198744,0.00038014213,0.00094645907,0.0055510746],"category_scores_gemma":[0.00377865,0.000121944366,0.00029641512,0.0024587556,0.0018091534,0.0025576365,0.0009073979,0.0007718862,0.0011329397],"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":[0.0002543538,0.00046795543,0.09250511,0.00067705725,0.00015065452,0.0012645568,0.0014047268,0.039850913,0.0011590273,0.672476,0.012744244,0.17704545],"study_design_scores_gemma":[0.00006373738,0.00029286442,0.08888372,0.000552234,0.00009737066,0.00066939084,0.002645459,0.021156887,0.001898034,0.7593339,0.12431679,0.00008959724],"about_ca_topic_score_codex":0.0057425997,"about_ca_topic_score_gemma":0.004168803,"teacher_disagreement_score":0.0057425997,"about_ca_system_score_codex":0.0014046457,"about_ca_system_score_gemma":0.0012477665,"threshold_uncertainty_score":0.018570185},"labels":[],"label_agreement":null},{"id":"W3210948988","doi":"10.34989/swp-2019-14","title":"Firm-level Investment Under Imperfect Capital Markets in Ukraine","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Investment (military); Fixed investment; Ukrainian; Imperfect; Economics; Financial market; Estimation; Monetary economics; Capital (architecture); Welfare; Business; Financial capital; Finance; Market economy; Capital formation; Human capital","score_opus":0.03376336599838459,"score_gpt":0.2216380810325456,"score_spread":0.187874715034161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210948988","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":[0.97155344,0.001598949,0.013729756,0.0025119493,0.000026172404,0.000017684037,0.0007624583,0.00007720071,0.009722378],"genre_scores_gemma":[0.9967693,0.00041085956,0.00044236743,0.00003440418,0.0000070205037,0.000005297192,0.000105387895,0.000007272304,0.0022180781],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99975294,0.00007343367,0.0000136975195,0.00006192203,0.000018011955,0.00008004446],"domain_scores_gemma":[0.99928206,0.00030751765,0.00027071437,0.0000377606,0.00004873437,0.00005324423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061810634,0.00019986895,0.00064144755,0.00034412477,0.00042170673,0.0020050367,0.0005507754,0.00075489434,0.0012932189],"category_scores_gemma":[0.002169693,0.00034289292,0.0004873461,0.00045436595,0.0006973808,0.0013200075,0.00087595166,0.000700821,0.00012960129],"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":[0.00012488416,0.00008313297,0.049209658,0.00015663386,0.00014893319,0.0018830368,0.0005551787,0.69594085,0.0009003767,0.2355672,0.0033291792,0.012101027],"study_design_scores_gemma":[0.00005871082,0.000087121036,0.04537337,0.00010061452,0.00011398162,0.00038373034,0.00042478152,0.8648653,0.0011354552,0.08106144,0.006351221,0.000044217493],"about_ca_topic_score_codex":0.06098994,"about_ca_topic_score_gemma":0.034023464,"teacher_disagreement_score":0.06098994,"about_ca_system_score_codex":0.0037844293,"about_ca_system_score_gemma":0.0017770166,"threshold_uncertainty_score":0.12126988},"labels":[],"label_agreement":null},{"id":"W3212874795","doi":"10.24149/gwp332r1","title":"Demographics and the Evolution of Global Imbalances","year":2019,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Bank of Canada","funders":"","keywords":"Demographics; Emerging markets; Percentage point; Economics; Point (geometry); Demographic economics; Distribution (mathematics); Monetary economics; International economics; Demography; Macroeconomics; Finance","score_opus":0.008769246992266699,"score_gpt":0.18069838229274834,"score_spread":0.17192913530048165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212874795","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":[0.9883592,0.00033365964,0.00082651596,0.00061580335,0.000015394857,0.0000039848687,0.00028588373,0.000016435553,0.009543058],"genre_scores_gemma":[0.9988864,0.00019242083,0.00013805955,0.000035991845,0.000015708325,0.0000023471175,0.000097177144,0.000005218812,0.0006265424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990094,0.000026827196,0.0000050360973,0.000024277622,0.000012603619,0.000030359357],"domain_scores_gemma":[0.9990816,0.0001460614,0.0005220228,0.00006253773,0.00008189834,0.00010582687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062582485,0.00014199493,0.00016446938,0.0009701854,0.00032731768,0.0011895128,0.0001119708,0.0003774272,0.0033946275],"category_scores_gemma":[0.0031692793,0.00012195262,0.00021401423,0.00093891507,0.00061093783,0.0011992325,0.00073846866,0.00038717315,0.00035086164],"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":[0.00031229752,0.00009592709,0.8167934,0.00006402651,0.0000998608,0.0006417632,0.002644784,0.022798453,0.0035054341,0.074597515,0.004143798,0.07430277],"study_design_scores_gemma":[0.00001594098,0.000097198696,0.93910414,0.00003955863,0.00003142504,0.0003807022,0.0020438156,0.010122296,0.0006278975,0.034593135,0.012914448,0.000029411105],"about_ca_topic_score_codex":0.0029333602,"about_ca_topic_score_gemma":0.0024116635,"teacher_disagreement_score":0.0033946275,"about_ca_system_score_codex":0.00068385416,"about_ca_system_score_gemma":0.0002036513,"threshold_uncertainty_score":0.011356175},"labels":[],"label_agreement":null},{"id":"W3214094997","doi":"10.3386/w29455","title":"Technology Transfer and Early Industrial Development: Evidence From the Sino-Soviet Alliance","year":2021,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Alliance; Technology transfer; Business; Political science; International trade","score_opus":0.4503283480000183,"score_gpt":0.40928223634556865,"score_spread":0.04104611165444966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214094997","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":[0.981886,0.0021826937,0.00012087749,0.0006456364,0.000011694409,0.0000055132064,0.00023528242,0.0000060196858,0.014906186],"genre_scores_gemma":[0.99717915,0.0013809685,0.00003766691,0.0000593355,0.000013005113,0.0000062738795,0.00026321874,0.0000022746271,0.001058207],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991203,0.00027051754,0.000059153354,0.000098494806,0.00016271604,0.0002887903],"domain_scores_gemma":[0.9909021,0.0032521673,0.0035201272,0.000674544,0.00077563344,0.0008754304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025232863,0.00020399179,0.0004129575,0.002408144,0.0015896746,0.0022784187,0.0003734535,0.0005149792,0.0061764186],"category_scores_gemma":[0.00629947,0.00017275992,0.00019271678,0.0059781168,0.0023284347,0.0019793503,0.0028447083,0.0010152971,0.00056659157],"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":[0.00045697828,0.00041206702,0.90927684,0.0001804211,0.00013769096,0.00061176927,0.015232066,0.0009123698,0.00029103068,0.017913204,0.0017923941,0.05278309],"study_design_scores_gemma":[0.000043527343,0.00012906766,0.9672044,0.0002040394,0.000046764828,0.00013113795,0.0141209075,0.00026857638,0.00027863064,0.0033590482,0.014198413,0.000015547943],"about_ca_topic_score_codex":0.024952704,"about_ca_topic_score_gemma":0.026943784,"teacher_disagreement_score":0.024952704,"about_ca_system_score_codex":0.001210423,"about_ca_system_score_gemma":0.0015786887,"threshold_uncertainty_score":0.049614966},"labels":[],"label_agreement":null},{"id":"W324269518","doi":"10.4018/jgim.2015040103","title":"Technology Development through Knowledge Assimilation and Innovation","year":2015,"lang":"en","type":"article","venue":"Journal of Global Information Management","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Aeronautics and Space Administration","keywords":"Productivity; Economics; Shock (circulatory); Total factor productivity; Investment (military); Poverty; Technological change; Endogenous growth theory; Economic system; Macroeconomics; Economic growth; Human capital; Political science","score_opus":0.05307918987468094,"score_gpt":0.2591924559182091,"score_spread":0.20611326604352817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W324269518","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":[0.4813668,0.003899439,0.25104973,0.008753913,0.00016976919,0.00011186285,0.000355446,0.00018843051,0.25410464],"genre_scores_gemma":[0.9788112,0.0013346125,0.006591562,0.00010703579,0.00004448464,0.000033706492,0.000036651407,0.000010590856,0.013030157],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994677,0.00019550696,0.000020085736,0.000119403354,0.0000761518,0.000121146935],"domain_scores_gemma":[0.9985708,0.0007799786,0.00028263882,0.00012378217,0.000105979656,0.00013686041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091141195,0.00042282496,0.0005248682,0.00086595217,0.0006822499,0.002912739,0.0005769295,0.0013700397,0.0057408027],"category_scores_gemma":[0.0031730281,0.0002639873,0.00093056215,0.0008653496,0.0016659421,0.0040011387,0.0020655221,0.0007851162,0.00057471904],"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":[0.00006222472,0.00009196322,0.0032265584,0.00010380052,0.00006409239,0.00032404935,0.00034046924,0.12942323,0.0010896232,0.8444157,0.001020347,0.01983793],"study_design_scores_gemma":[0.000051267194,0.00012726041,0.0027163646,0.00008346952,0.000056112105,0.0002594422,0.0002962226,0.29449168,0.00075592793,0.6919129,0.0092065325,0.0000428159],"about_ca_topic_score_codex":0.0042780014,"about_ca_topic_score_gemma":0.0023994902,"teacher_disagreement_score":0.0057408027,"about_ca_system_score_codex":0.0019544137,"about_ca_system_score_gemma":0.0015226703,"threshold_uncertainty_score":0.019204855},"labels":[],"label_agreement":null},{"id":"W4205129868","doi":"10.5539/jsd.v15n1p65","title":"Technical Education, Vocational Training and Industrialisation in Sub-Saharan Africa(SSA)","year":2022,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vocational education; Industrialisation; Economic growth; Order (exchange); Economics; Econometric model; Training (meteorology); Instrumental variable; Business; Regional science; Geography","score_opus":0.048025527312807195,"score_gpt":0.22603952207043596,"score_spread":0.17801399475762875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205129868","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":[0.98408383,0.0048736166,0.00039227086,0.001253657,0.0000365227,0.00001054464,0.0004978732,0.0000063131174,0.00884538],"genre_scores_gemma":[0.99630225,0.0027450013,0.0001352697,0.000048031903,0.00002664683,0.0000069797047,0.00019220274,0.0000014347254,0.0005422584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969745,0.00009967328,0.000016797905,0.000026172342,0.000042325406,0.00011763382],"domain_scores_gemma":[0.9992119,0.00024742098,0.00035148812,0.000015159363,0.00005470875,0.00011933068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005049981,0.00019484361,0.00015368867,0.0011283826,0.00040135035,0.0009254445,0.00012481333,0.00016258379,0.0020418824],"category_scores_gemma":[0.0016315404,0.000059809794,0.00015276222,0.0026113396,0.00044571486,0.00064736523,0.0010357404,0.00043896417,0.0001705744],"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":[0.00010181375,0.00013613391,0.86997026,0.00049151696,0.00011482697,0.0015390441,0.008240389,0.0018110314,0.0007219583,0.012218605,0.0020607791,0.10259367],"study_design_scores_gemma":[0.0000034026332,0.00006141546,0.9765636,0.0002241246,0.000025971933,0.00023634515,0.008452419,0.00044004634,0.0001292312,0.0011902697,0.01266745,0.000005827248],"about_ca_topic_score_codex":0.012121689,"about_ca_topic_score_gemma":0.01565394,"teacher_disagreement_score":0.012121689,"about_ca_system_score_codex":0.0005694273,"about_ca_system_score_gemma":0.00082844496,"threshold_uncertainty_score":0.02410227},"labels":[],"label_agreement":null},{"id":"W4210965045","doi":"10.1016/s0169-7218(10)02008-3","title":"Measuring the Returns to R&amp;D","year":2010,"lang":"en","type":"book-chapter","venue":"Handbook of the economics of innovation","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":562,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Spillover effect; Economics; Econometrics; Variable (mathematics); Econometric model; Capital (architecture); Mathematics; Geography; Microeconomics","score_opus":0.07262931966546525,"score_gpt":0.2053429866496981,"score_spread":0.13271366698423287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210965045","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11997146,0.058733832,0.15503809,0.007763305,0.0013047762,0.00029070835,0.011708192,0.0020598813,0.6431298],"genre_scores_gemma":[0.78414565,0.03669261,0.086632684,0.001042685,0.0008034154,0.00015855319,0.0041671894,0.0003986903,0.08595854],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99654645,0.0005705286,0.00014257913,0.00032507651,0.002188583,0.00022680844],"domain_scores_gemma":[0.99482286,0.0022145344,0.0010325314,0.00065649056,0.001067435,0.00020603712],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002131638,0.00065385044,0.00057354197,0.00341196,0.00028961583,0.003971481,0.0009801124,0.0009254594,0.009958378],"category_scores_gemma":[0.01300805,0.00034169792,0.0003527731,0.0049816645,0.0006752522,0.003661725,0.0007827552,0.001163695,0.006582475],"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":[0.000098294564,0.00018060148,0.035654876,0.00065541966,0.00017689311,0.00008584908,0.00012561843,0.010260225,0.0044491203,0.211254,0.059931166,0.67712784],"study_design_scores_gemma":[0.000036336187,0.00029877294,0.12391637,0.00071837305,0.00018814302,0.00085457513,0.00084917987,0.031732406,0.04722752,0.26559344,0.52841586,0.00016892493],"about_ca_topic_score_codex":0.0032064905,"about_ca_topic_score_gemma":0.004353089,"teacher_disagreement_score":0.99786836,"about_ca_system_score_codex":0.0017203761,"about_ca_system_score_gemma":0.0013781998,"threshold_uncertainty_score":0.03331411},"labels":[],"label_agreement":null},{"id":"W4213164152","doi":"10.21203/rs.3.rs-1318655/v1","title":"Cost of research and education activities in US colleges - scalability, complementarity, and heterogeneous efficiency","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Complementarity (molecular biology); Scalability; Computer science; Business; Knowledge management; Biology; Database","score_opus":0.18631565270994263,"score_gpt":0.4076089058142258,"score_spread":0.2212932531042832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213164152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98972636,0.00019984439,0.0043477244,0.00047327936,0.0000047919284,0.00002074731,0.0012863565,0.00003854628,0.0039021971],"genre_scores_gemma":[0.9983581,0.000055974608,0.00070270983,0.000016335338,0.000005385323,0.0000093857325,0.0005467064,0.0000050365907,0.00030041175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972395,0.0006978161,0.00024508665,0.00044555787,0.00094732345,0.00042463763],"domain_scores_gemma":[0.9811126,0.009075576,0.005245055,0.0015550613,0.001945531,0.0010661555],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002844458,0.00023042629,0.0005908475,0.003476278,0.00042886537,0.0026623686,0.0006056677,0.00054209866,0.0026199142],"category_scores_gemma":[0.020727219,0.0002317991,0.0006291257,0.006399442,0.0010146579,0.0019279141,0.002267786,0.0007479318,0.00025327466],"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":[0.00021274331,0.00020971046,0.8220083,0.00014001697,0.00025018016,0.00020576609,0.00023991428,0.11522897,0.0012186838,0.020237094,0.0015711186,0.038477562],"study_design_scores_gemma":[0.000029269779,0.000053882413,0.8188772,0.0000443228,0.000056460256,0.00009471297,0.0006679058,0.1461644,0.0011059511,0.030597525,0.0022688685,0.00003940137],"about_ca_topic_score_codex":0.021098856,"about_ca_topic_score_gemma":0.027799034,"teacher_disagreement_score":0.99715555,"about_ca_system_score_codex":0.0031605482,"about_ca_system_score_gemma":0.0012506661,"threshold_uncertainty_score":0.041952074},"labels":[],"label_agreement":null},{"id":"W4213295302","doi":"10.1111/padr.12469","title":"Six Ways Population Change Will Affect the Global Economy","year":2022,"lang":"en","type":"article","venue":"Population and Development Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council; William and Flora Hewlett Foundation; European Commission; International Development Research Centre; United Nations Population Fund; National Institute on Aging; World Bank Group","keywords":"Population; Economics; Standard of living; Population ageing; Productivity; Population growth; Distribution (mathematics); Demographic economics; Demographic change; Affect (linguistics); Debt; Development economics; Economic growth; Demography; Market economy; Macroeconomics","score_opus":0.08854534305036765,"score_gpt":0.256226055002666,"score_spread":0.16768071195229833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213295302","genre_codex":"review","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":[0.015816871,0.7511531,0.00441939,0.16288939,0.0063517587,0.00005986926,0.0005388568,0.00007795351,0.058692746],"genre_scores_gemma":[0.16306809,0.80938095,0.0028443537,0.014209527,0.0023043714,0.00007874793,0.0002236115,0.00002107674,0.007869268],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989579,0.00047424293,0.000059912858,0.00008852325,0.00025789946,0.00016156737],"domain_scores_gemma":[0.9989127,0.00039492876,0.0001475489,0.000060925366,0.0003702745,0.00011366368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027020578,0.0005344083,0.00045437049,0.001545526,0.000650765,0.003887871,0.0006038647,0.0020108914,0.0057701846],"category_scores_gemma":[0.0031304026,0.00021086718,0.00083587563,0.0021757777,0.002712238,0.005713926,0.0018648222,0.002676784,0.0010097774],"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":[0.00013662183,0.00009477961,0.005876113,0.0039649983,0.0002864428,0.00033136367,0.0014790611,0.0032652905,0.0006258539,0.6072413,0.04968811,0.32701],"study_design_scores_gemma":[0.00004238365,0.00015403212,0.01044694,0.004439651,0.00014295726,0.00033296872,0.0034241884,0.0006915886,0.000387567,0.2649562,0.71491975,0.00006181658],"about_ca_topic_score_codex":0.0039098696,"about_ca_topic_score_gemma":0.004851463,"teacher_disagreement_score":0.0057701846,"about_ca_system_score_codex":0.0015221193,"about_ca_system_score_gemma":0.0023349714,"threshold_uncertainty_score":0.019303143},"labels":[],"label_agreement":null},{"id":"W4213307663","doi":"10.1109/icse.2013.6606634","title":"Technical Debt: Past, present, and future (Panel)","year":2013,"lang":"en","type":"article","venue":"2013 35th International Conference on Software Engineering (ICSE)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Computer science; Technical debt; Debt; Business; Finance; Operating system","score_opus":0.03724041101319505,"score_gpt":0.21780805345943058,"score_spread":0.18056764244623552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213307663","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":[0.005579379,0.13425764,0.0016535504,0.77289903,0.021916732,0.00006562085,0.0017558598,0.00008676462,0.061785348],"genre_scores_gemma":[0.13713506,0.3584336,0.0030848188,0.32760704,0.05535606,0.0004287266,0.0035051063,0.0002360781,0.11421358],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99837494,0.0003184259,0.00012883879,0.0002583312,0.0005649665,0.00035443422],"domain_scores_gemma":[0.9948183,0.0012180905,0.000778505,0.0001612038,0.0017300879,0.0012937232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004074288,0.00058598653,0.0004933799,0.0015366098,0.0022976724,0.010491551,0.00069947285,0.00777952,0.012845172],"category_scores_gemma":[0.008810018,0.00044279592,0.0005186331,0.004077356,0.0018836332,0.011055976,0.0036378945,0.009725113,0.0028784398],"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":[0.000023169338,0.000020413472,0.0014609201,0.00018951796,0.000010335252,0.000054821186,0.00057867693,0.000114889495,0.00017631943,0.0123869665,0.9337655,0.05121854],"study_design_scores_gemma":[0.000008985819,0.000027947492,0.009372932,0.0015363663,0.000016728716,0.00018497523,0.0022377172,0.00010611532,0.0002211901,0.0134718735,0.9727769,0.00003834401],"about_ca_topic_score_codex":0.0051575354,"about_ca_topic_score_gemma":0.0109533295,"teacher_disagreement_score":0.012845172,"about_ca_system_score_codex":0.00381357,"about_ca_system_score_gemma":0.005050487,"threshold_uncertainty_score":0.042971313},"labels":[],"label_agreement":null},{"id":"W4214545455","doi":"10.2139/ssrn.4040890","title":"Policy Distortions and Aggregate Productivity with Endogenous Establishment-Level Productivity1","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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 Toronto","funders":"","keywords":"Productivity; Economics; Aggregate (composite); Agricultural economics; Econometrics; Macroeconomics","score_opus":0.026872202230355805,"score_gpt":0.20026224882058496,"score_spread":0.17339004659022916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214545455","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":[0.91648597,0.002594133,0.031656366,0.012403483,0.00022677572,0.00008394753,0.0025585245,0.00041021704,0.033580672],"genre_scores_gemma":[0.9945087,0.0008040809,0.0005019549,0.00012683279,0.00007005367,0.000014222374,0.00014727953,0.000017063498,0.0038099294],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979633,0.0006961443,0.00012626291,0.000297119,0.00025908236,0.0006581596],"domain_scores_gemma":[0.9752882,0.013144747,0.0076670917,0.0016796681,0.0013976553,0.0008226843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045474735,0.0008285369,0.0014722407,0.0012511482,0.0008309868,0.0053998064,0.0008942504,0.0025062833,0.006902648],"category_scores_gemma":[0.02487739,0.00068611815,0.00088022003,0.0030801278,0.002610479,0.0032901603,0.0018135329,0.0026543492,0.00091223646],"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":[0.0010930094,0.0004087644,0.102958456,0.00052351016,0.00045875763,0.0014008107,0.0010601388,0.37128422,0.0026168271,0.4847474,0.009188901,0.02425923],"study_design_scores_gemma":[0.00034395544,0.00039791042,0.1047585,0.00010810082,0.0003570218,0.0003167524,0.002463286,0.2478545,0.0029370885,0.62983084,0.010469456,0.00016255178],"about_ca_topic_score_codex":0.021853898,"about_ca_topic_score_gemma":0.013159789,"teacher_disagreement_score":0.021853898,"about_ca_system_score_codex":0.005162451,"about_ca_system_score_gemma":0.0026822546,"threshold_uncertainty_score":0.043453395},"labels":[],"label_agreement":null},{"id":"W4214680593","doi":"10.1108/oxan-es267616","title":"Unorthodox Turkish growth will disappear this quarter","year":2022,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Turkish; Geography; Philosophy; Archaeology","score_opus":0.01840173800211636,"score_gpt":0.20859796155297858,"score_spread":0.19019622355086221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214680593","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0041539073,0.005495698,0.00050132396,0.12406014,0.09775559,0.00013749462,0.007278222,0.0019405965,0.758677],"genre_scores_gemma":[0.009191965,0.0015977605,0.00018295358,0.018718526,0.003469721,0.00007030079,0.0019219278,0.00034241177,0.96450436],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991511,0.00005830853,0.00004222142,0.000077160774,0.00036762757,0.00030354233],"domain_scores_gemma":[0.9980654,0.00010102558,0.00018532673,0.00013929409,0.00087518076,0.00063369266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009349136,0.0007966191,0.00053317804,0.00067141507,0.002201226,0.005996503,0.00070806936,0.0055577573,0.14916751],"category_scores_gemma":[0.0036961038,0.00029223555,0.0003697967,0.00055388064,0.0007656982,0.0027295114,0.0018098172,0.004476562,0.116886295],"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":[0.000028697988,0.0000081371245,0.00008980185,0.000025429834,7.3986865e-7,0.000025948464,0.000012670136,0.000017771028,0.00007667225,0.0011916758,0.99200845,0.006514149],"study_design_scores_gemma":[0.000016665324,0.000025269921,0.002358828,0.00008004851,0.000002526916,0.000035702295,0.00015518961,0.00007172929,0.00020753441,0.0008266075,0.9962057,0.000014107695],"about_ca_topic_score_codex":0.018254902,"about_ca_topic_score_gemma":0.030915782,"teacher_disagreement_score":0.14916751,"about_ca_system_score_codex":0.0025173237,"about_ca_system_score_gemma":0.004574507,"threshold_uncertainty_score":0.49901503},"labels":[],"label_agreement":null},{"id":"W4220679352","doi":"10.1093/jeea/jvac014","title":"Engineering Growth","year":2022,"lang":"en","type":"article","venue":"Journal of the European Economic Association","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Great Divergence; Human capital; Construct (python library); Quarter (Canadian coin); Order (exchange); Divergence (linguistics); Economics; Political science; Economic growth; China; Geography; Finance; Law; Computer science","score_opus":0.011129715473300215,"score_gpt":0.15928185498879513,"score_spread":0.1481521395154949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220679352","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":[0.30519727,0.0037169205,0.008638094,0.004284866,0.0002769919,0.000103824714,0.02045974,0.0004106547,0.6569117],"genre_scores_gemma":[0.8502481,0.0040379283,0.002585921,0.0003935738,0.00021888745,0.00007287684,0.014857203,0.000055769346,0.1275297],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994273,0.00006645624,0.000029209128,0.000112910224,0.00026389517,0.0001002368],"domain_scores_gemma":[0.9981787,0.00037826976,0.00032331425,0.00023453361,0.00068202196,0.00020310476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057148805,0.00030957343,0.00020682636,0.00227505,0.00049665716,0.0019456001,0.00037099727,0.0003355521,0.03561235],"category_scores_gemma":[0.0026393498,0.00009058877,0.0002193703,0.0031187807,0.00037609684,0.0012651532,0.001005746,0.00067037734,0.009327432],"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":[0.00011377504,0.00022187913,0.152042,0.000351759,0.000049053837,0.00030675845,0.0011236006,0.008451018,0.0014535316,0.28394985,0.081664324,0.47027245],"study_design_scores_gemma":[0.000012223783,0.00016159027,0.17127338,0.00021822333,0.000015116946,0.0003900821,0.0014814073,0.0039969287,0.0018186449,0.037238333,0.7833694,0.000024772731],"about_ca_topic_score_codex":0.003488155,"about_ca_topic_score_gemma":0.0036480715,"teacher_disagreement_score":0.03561235,"about_ca_system_score_codex":0.001061456,"about_ca_system_score_gemma":0.00076350506,"threshold_uncertainty_score":0.11913514},"labels":[],"label_agreement":null},{"id":"W4220806774","doi":"10.5539/ijef.v14n4p1","title":"Economic Growth Analysis and Total Factor Productivity: A Case Study of Morocco, 1999-2019","year":2022,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Total factor productivity; Productivity; Economics; Raising (metalworking); Development economics; Economic growth; Engineering","score_opus":0.01927774181755536,"score_gpt":0.22344536391430625,"score_spread":0.20416762209675088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220806774","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":[0.99172044,0.001082127,0.00013872214,0.0005627669,0.000007861693,0.000012261787,0.0005653417,0.000005014837,0.0059055253],"genre_scores_gemma":[0.99710554,0.0006721722,0.00016300686,0.000026913101,0.000009271146,0.0000063866946,0.000277842,0.0000028027412,0.0017360646],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977475,0.00005281375,0.000010194812,0.000020217516,0.000035493507,0.00010643519],"domain_scores_gemma":[0.9994597,0.00020785876,0.00010818479,0.000018968134,0.00013747551,0.00006785336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005040123,0.00030328034,0.0002352392,0.0018654153,0.0010562993,0.00097495696,0.00039912292,0.00034790055,0.001670961],"category_scores_gemma":[0.0010559572,0.00009238853,0.00028512703,0.0032456703,0.00054285023,0.00049509166,0.0007747717,0.00035497977,0.00017290494],"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":[0.00038537558,0.00029012765,0.8600911,0.00043204828,0.00015106083,0.025798116,0.018582745,0.008465971,0.0013988235,0.016072894,0.0071499613,0.06118171],"study_design_scores_gemma":[0.000014197652,0.000101359125,0.93344814,0.00016328257,0.000081759754,0.0014971189,0.039476026,0.005835132,0.0006930257,0.00094681897,0.017713211,0.000029958243],"about_ca_topic_score_codex":0.27916685,"about_ca_topic_score_gemma":0.3291656,"teacher_disagreement_score":0.27916685,"about_ca_system_score_codex":0.006120933,"about_ca_system_score_gemma":0.0012848508,"threshold_uncertainty_score":0.5550839},"labels":[],"label_agreement":null},{"id":"W4220919753","doi":"10.26509/frbc-wp-202207","title":"Labor Substitutability among Schooling Groups","year":2022,"lang":"en","type":"report","venue":"Working paper","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Economics; Human capital; Elasticity of substitution; Subsidy; Wage; Immigration; Labour economics; Frontier; Quality (philosophy); Demographic economics; Production (economics); Microeconomics; Economic growth; Market economy; Geography","score_opus":0.05218609875230812,"score_gpt":0.234651517704813,"score_spread":0.18246541895250487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220919753","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":[0.98049796,0.00022570824,0.0054239607,0.00034565188,0.000010478249,0.000027464761,0.0008159326,0.000042939926,0.012609848],"genre_scores_gemma":[0.9974847,0.00006134269,0.00046093733,0.000055286688,0.0000070672463,0.0000150638425,0.00033729727,0.0000038892304,0.0015745087],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991622,0.00016083,0.000041473537,0.00017855682,0.00012558118,0.00033148736],"domain_scores_gemma":[0.9966425,0.001842109,0.00059006235,0.00048433465,0.0002080085,0.00023307269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010399722,0.00029316818,0.00054989464,0.0012580946,0.00053946214,0.0008700159,0.00044586443,0.00049221446,0.014534786],"category_scores_gemma":[0.0038624716,0.00022609458,0.00076625333,0.00079498946,0.0008237601,0.00077790587,0.0010406272,0.00038128864,0.0013375615],"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":[0.0008861764,0.0001746329,0.73724693,0.00024566107,0.00045011906,0.0016124949,0.0029304125,0.028425314,0.02577766,0.13136046,0.0025250176,0.0683652],"study_design_scores_gemma":[0.00006894851,0.00030332475,0.8536642,0.000106240404,0.00016432787,0.00061738363,0.0013250677,0.032065786,0.005898779,0.09891249,0.0068189125,0.000054530075],"about_ca_topic_score_codex":0.008188181,"about_ca_topic_score_gemma":0.008737191,"teacher_disagreement_score":0.014534786,"about_ca_system_score_codex":0.00085589493,"about_ca_system_score_gemma":0.00057252607,"threshold_uncertainty_score":0.04862374},"labels":[],"label_agreement":null},{"id":"W4225469529","doi":"10.1016/j.jeca.2022.e00247","title":"Convergence in labor productivity across provinces and production sectors in China","year":2022,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Quantile; Productivity; Convergence (economics); Panel data; Quantile regression; Econometrics; Human capital; Inequality; Foreign direct investment; Production (economics); Secondary sector of the economy; Economic geography; Labour economics; Macroeconomics; Economy; Economic growth; Mathematics","score_opus":0.016019652610373566,"score_gpt":0.22426551472424622,"score_spread":0.20824586211387264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225469529","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":[0.9978181,0.00017354025,0.0003564236,0.0000902724,0.0000022804256,0.000005893852,0.0003587829,0.0000129967275,0.0011815906],"genre_scores_gemma":[0.9990709,0.000072361014,0.00013262575,0.000009488388,0.0000017017322,0.0000034521343,0.00034475944,0.0000015948074,0.0003631138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990085,0.00016872861,0.00007157172,0.00020507468,0.0001763007,0.00036990567],"domain_scores_gemma":[0.9976234,0.00039770434,0.00051717006,0.00028770906,0.0009376827,0.00023623504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019191479,0.0002213554,0.0005265787,0.0026160057,0.0006018741,0.0009495649,0.00046828232,0.00019559785,0.0013778625],"category_scores_gemma":[0.004419721,0.00027335293,0.0005096678,0.0037443656,0.00052719744,0.0005913526,0.00096190866,0.00028064384,0.00015561808],"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":[0.0001886242,0.000022441149,0.9671358,0.00004867109,0.00016208726,0.00024348128,0.0009755748,0.008931304,0.0006808807,0.0026101095,0.00055800565,0.018442947],"study_design_scores_gemma":[0.0000081779435,0.000014403336,0.9927912,0.000008106196,0.000020789934,0.000023198842,0.00035613685,0.0056710076,0.00011655998,0.0005881924,0.00039309444,0.0000091387765],"about_ca_topic_score_codex":0.24160059,"about_ca_topic_score_gemma":0.14325088,"teacher_disagreement_score":0.24160059,"about_ca_system_score_codex":0.002999244,"about_ca_system_score_gemma":0.0029749903,"threshold_uncertainty_score":0.48038858},"labels":[],"label_agreement":null},{"id":"W4230240472","doi":"10.5465/amr.2002.6588060","title":"Technological Change and the Evolution of Corporate Innovation: The Structure of Patenting 1890–1990Technological Change and the Evolution of Corporate Innovation: The Structure of Patenting 1890–1990, by AndersenBirgitte. Cheltenham, UK: Edward Elgar, 2001.","year":2002,"lang":"en","type":"article","venue":"Academy of Management Review","topic":"Economic Growth and Productivity","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 Toronto","funders":"","keywords":"Technological change; Economic geography; Corporate structure; Management; Organizational structure; Innovation management; Organisational change; Business; Industrial organization; Political science; Economics; Public relations; Corporate governance","score_opus":0.11073376508318507,"score_gpt":0.234316965504263,"score_spread":0.12358320042107794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230240472","genre_codex":"review","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":[0.15582646,0.74754584,0.004645851,0.029939922,0.00060075376,0.00005098276,0.0013763448,0.000039706356,0.0599742],"genre_scores_gemma":[0.6613186,0.32492876,0.0024693492,0.00085511996,0.001188832,0.00002821095,0.00078595965,0.000019628958,0.008405465],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99911517,0.00023684202,0.00008268369,0.00014675244,0.00026683137,0.00015176462],"domain_scores_gemma":[0.99501944,0.002059361,0.0014483541,0.00018484786,0.0011072083,0.00018094233],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0022635069,0.0003031462,0.0002856116,0.0056796907,0.00095341,0.0032990857,0.00041395408,0.0013224763,0.0020829698],"category_scores_gemma":[0.010371694,0.00033742006,0.0003963879,0.014794898,0.0028948493,0.005178352,0.0011777915,0.0011468132,0.0003408127],"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":[0.00035528102,0.00013501687,0.116810754,0.0014499924,0.00020833078,0.00044373696,0.0076506827,0.006377004,0.0010856751,0.39373446,0.037751824,0.4339973],"study_design_scores_gemma":[0.00004110629,0.00014727567,0.5410045,0.0015245911,0.0001480735,0.0006537297,0.0020616702,0.0021056237,0.0010971895,0.15368557,0.2974584,0.00007233717],"about_ca_topic_score_codex":0.026443977,"about_ca_topic_score_gemma":0.031174907,"teacher_disagreement_score":0.99432033,"about_ca_system_score_codex":0.005998052,"about_ca_system_score_gemma":0.0032585473,"threshold_uncertainty_score":0.05258012},"labels":[],"label_agreement":null},{"id":"W4230262343","doi":"10.17016/feds.2001.08","title":"Estimates of the Productivity Trend Using Time-Varying Parameter Techniques","year":2000,"lang":"en","type":"article","venue":"Finance and Economics Discussion Series","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Pace; Economics; Econometrics; Quarter (Canadian coin); Growth rate; Capital (architecture); Mathematics; Macroeconomics; Geography; Geodesy","score_opus":0.02324747990278392,"score_gpt":0.2144242612092382,"score_spread":0.19117678130645427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230262343","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":[0.7243836,0.0019379564,0.2392908,0.000807763,0.00015700494,0.00025756075,0.01561725,0.0011528974,0.016395202],"genre_scores_gemma":[0.9489694,0.0011133351,0.033801824,0.00006933821,0.000073244686,0.00024881176,0.011959855,0.000126224,0.0036378666],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886584,0.00039525196,0.000100623525,0.00033202773,0.00019720304,0.00010909484],"domain_scores_gemma":[0.9934198,0.0036069304,0.0015317975,0.00070830365,0.00063638,0.000096632604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003507406,0.00052944367,0.0005996885,0.004425077,0.00034538162,0.0015195676,0.0006749861,0.00082263484,0.003878527],"category_scores_gemma":[0.020818852,0.00034913025,0.0015369874,0.0064205728,0.00027799438,0.0017717489,0.00073002593,0.001364883,0.0012505512],"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":[0.00030003302,0.00020211442,0.570923,0.00045613866,0.001911249,0.0004837102,0.0016344787,0.1541964,0.0040069674,0.049839873,0.013053501,0.20299263],"study_design_scores_gemma":[0.00010705536,0.00052551366,0.5324439,0.00024290619,0.00051013136,0.00044054087,0.0021488501,0.3552701,0.0040226323,0.05432799,0.049731273,0.0002290581],"about_ca_topic_score_codex":0.014305341,"about_ca_topic_score_gemma":0.0070001814,"teacher_disagreement_score":0.014305341,"about_ca_system_score_codex":0.000782411,"about_ca_system_score_gemma":0.0007733496,"threshold_uncertainty_score":0.028444171},"labels":[],"label_agreement":null},{"id":"W4230354898","doi":"10.4095/301107","title":"Growth Rate of Wholesaling Employment, 1986 to 1996","year":2010,"lang":"en","type":"report","venue":"","topic":"Economic Growth and Productivity","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":"Growth rate; Mathematics; Geometry","score_opus":0.06478386406203991,"score_gpt":0.2590931921023258,"score_spread":0.1943093280402859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230354898","genre_codex":"dataset","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":[0.41192243,0.0024580648,0.00072829187,0.0015442395,0.0001608599,0.00012242058,0.549595,0.0005737455,0.03289493],"genre_scores_gemma":[0.51154345,0.00654645,0.0009650826,0.00037442823,0.0001520922,0.0001712968,0.4023939,0.00017909035,0.077674195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991184,0.000046647652,0.00010346589,0.00014044132,0.00039589955,0.00019513062],"domain_scores_gemma":[0.99455655,0.00026843548,0.0014090845,0.00017778733,0.0031757269,0.00041241912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008756897,0.0006153161,0.00034290177,0.0040472336,0.0005010785,0.0014571401,0.0011450158,0.00044631242,0.0047018207],"category_scores_gemma":[0.004850887,0.0003348821,0.0003345971,0.007976075,0.0003041426,0.0009194516,0.00090840005,0.0008878667,0.0065812585],"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":[0.0005896851,0.00011937912,0.8240756,0.00039182347,0.00010022318,0.0003914287,0.00082405296,0.0014473744,0.0008204405,0.0008872827,0.09870872,0.07164418],"study_design_scores_gemma":[0.000015646458,0.000025100013,0.95500755,0.000076380704,0.000017311488,0.00021216719,0.00034343038,0.0003376539,0.00065134134,0.000025948886,0.04327535,0.000012020169],"about_ca_topic_score_codex":0.5282513,"about_ca_topic_score_gemma":0.48794863,"teacher_disagreement_score":0.5282513,"about_ca_system_score_codex":0.00486304,"about_ca_system_score_gemma":0.0029639672,"threshold_uncertainty_score":0.9490539},"labels":[],"label_agreement":null},{"id":"W4231915120","doi":"10.7551/mitpress/2579.001.0001","title":"Econometrics","year":2002,"lang":"en","type":"book","venue":"The MIT Press eBooks","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":12,"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":"Productivity; Scope (computer science); China; Investment (military); Division of labour; Economics; Development economics; International trade; Economy; Economic growth; Political science; Market economy","score_opus":0.09955176937771847,"score_gpt":0.20066154288725832,"score_spread":0.10110977350953985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231915120","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013863831,0.03894679,0.16484356,0.025308084,0.0064029144,0.0009879316,0.099210806,0.0065746508,0.6438614],"genre_scores_gemma":[0.2517758,0.040552914,0.07390904,0.006092494,0.0056940536,0.0028376626,0.11248451,0.0031261137,0.5035275],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99546415,0.0019709615,0.000351681,0.00071581936,0.0011988817,0.0002984813],"domain_scores_gemma":[0.984041,0.008787401,0.0010562972,0.0019529681,0.0037960792,0.00036626635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004524515,0.0011915938,0.0014633246,0.0038609311,0.00087873003,0.0032412598,0.0014484242,0.0016415314,0.20243135],"category_scores_gemma":[0.03072744,0.00049581495,0.0014210795,0.0072742975,0.00067239325,0.0024662074,0.0013887011,0.0021282083,0.08969709],"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":[0.00016288005,0.00011470178,0.0102061,0.00073461427,0.00027527602,0.00016081735,0.00024503763,0.007903679,0.00010770253,0.06919771,0.58467025,0.3262212],"study_design_scores_gemma":[0.00014441428,0.00014897944,0.017307991,0.0009810505,0.00015866586,0.00030729183,0.0008631467,0.020051392,0.00023464773,0.090223595,0.86950856,0.00007028974],"about_ca_topic_score_codex":0.01003171,"about_ca_topic_score_gemma":0.0068381727,"teacher_disagreement_score":0.20243135,"about_ca_system_score_codex":0.001888769,"about_ca_system_score_gemma":0.0028094437,"threshold_uncertainty_score":0.6772003},"labels":[],"label_agreement":null},{"id":"W4233093856","doi":"10.24124/2013/bpgub945","title":"The effects of negative and positive freedom on economic growth, human development and poverty.","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Heritage; University of Northern British Columbia; Library and Archives Canada","funders":"","keywords":"Poverty; Political science; Humanities; Development economics; Philosophy; Economics; Law","score_opus":0.00835508860710916,"score_gpt":0.19638835609455008,"score_spread":0.18803326748744092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233093856","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":[0.81054825,0.007914253,0.0021263973,0.009136228,0.00025585335,0.000044722135,0.0013419298,0.000026733778,0.16860555],"genre_scores_gemma":[0.9936102,0.0024049298,0.00033286892,0.00019388243,0.000056423705,0.000020991187,0.00020575024,0.0000066806847,0.0031683675],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990036,0.0004696266,0.00003271552,0.000099153345,0.00022478907,0.00017003865],"domain_scores_gemma":[0.9917538,0.0058618695,0.0014478653,0.00021858995,0.00024689632,0.00047093065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014340197,0.0002596722,0.0002388879,0.0008793347,0.00062217657,0.0017182203,0.00016269235,0.00038376966,0.010956766],"category_scores_gemma":[0.0065583102,0.00009291138,0.00060139643,0.0010957296,0.0034230505,0.000982548,0.0017549151,0.0009814103,0.00066544005],"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":[0.00062147493,0.000827666,0.61536413,0.0006610479,0.00046867205,0.0004037086,0.0023110642,0.0040477784,0.001906568,0.2267762,0.010264698,0.13634703],"study_design_scores_gemma":[0.000023832394,0.00035822036,0.83142877,0.00032244995,0.00015593108,0.0003202792,0.00295655,0.0011973537,0.0013458525,0.1437687,0.018074514,0.000047504025],"about_ca_topic_score_codex":0.0014132075,"about_ca_topic_score_gemma":0.0018352378,"teacher_disagreement_score":0.010956766,"about_ca_system_score_codex":0.0007222098,"about_ca_system_score_gemma":0.0006567899,"threshold_uncertainty_score":0.036654055},"labels":[],"label_agreement":null},{"id":"W4234163525","doi":"10.1002/j.2325-8012.2004.tb00611.x","title":"Long‐Run Economic Performance and the Labor Market","year":2004,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Economics; Flexibility (engineering); Unemployment rate; Productivity; Labour economics; Steady state (chemistry); Unemployment; Secondary labor market; Convergence (economics); Population; Macroeconomics; Labor relations","score_opus":0.009986176355837307,"score_gpt":0.17611611699052718,"score_spread":0.16612994063468986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234163525","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":[0.9346705,0.0018693692,0.023205845,0.0029435905,0.000045580695,0.0000227321,0.00021604361,0.0000761755,0.036950175],"genre_scores_gemma":[0.9977412,0.00030309203,0.00026306283,0.000025586696,0.000016418879,0.000005846716,0.000050750205,0.0000039959527,0.0015901324],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9998338,0.000047648948,0.0000067287133,0.000019196126,0.000026719285,0.00006588341],"domain_scores_gemma":[0.99894434,0.00042841368,0.00029775957,0.000060218736,0.00010348803,0.00016589626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010334359,0.00034348774,0.00023288993,0.00041537735,0.0005025975,0.0019775718,0.00031750515,0.000548365,0.002749065],"category_scores_gemma":[0.0033707656,0.00014800984,0.00025864088,0.0003969267,0.0010456394,0.0015889065,0.00083215395,0.0007776353,0.00036800612],"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":[0.0004067796,0.00021757267,0.1010869,0.00008845388,0.00019474066,0.0009850406,0.0009802154,0.23049472,0.0049207173,0.63174593,0.002148827,0.02673012],"study_design_scores_gemma":[0.00009195081,0.00036624144,0.12762275,0.00015448139,0.00008221809,0.00045096353,0.0010795281,0.29557228,0.0018662973,0.56178296,0.010830569,0.00009974058],"about_ca_topic_score_codex":0.0028749562,"about_ca_topic_score_gemma":0.0023420702,"teacher_disagreement_score":0.0028749562,"about_ca_system_score_codex":0.0010065851,"about_ca_system_score_gemma":0.0005892035,"threshold_uncertainty_score":0.00919652},"labels":[],"label_agreement":null},{"id":"W4234569180","doi":"10.1080/05775132.2002.11034163","title":"The Boom, the Bubble, and the Future","year":2002,"lang":"en","type":"article","venue":"Challenge","topic":"Economic Growth and Productivity","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":"Boom; Dynamism; Quarter (Canadian coin); Economics; Investment (military); Capital investment; Capital (architecture); Productivity; Profitability index; Keynesian economics; Economic history; Economy; Classical economics; Political science; History; Macroeconomics; Engineering; Finance; Law; Politics; Philosophy; Ancient history","score_opus":0.03252500188902045,"score_gpt":0.18143019128391472,"score_spread":0.14890518939489428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234569180","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":[0.024373684,0.24573958,0.0025699395,0.33766648,0.0056491727,0.000007708325,0.00040788576,0.000050167524,0.3835354],"genre_scores_gemma":[0.72739154,0.158239,0.0012513779,0.033966266,0.0076475576,0.000028154673,0.0003577854,0.0000715124,0.071046695],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997925,0.000057586578,0.0000051840625,0.000029293797,0.00006333243,0.000052241663],"domain_scores_gemma":[0.99969804,0.00012129232,0.000044877135,0.000010114429,0.000050223112,0.00007546619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040164296,0.00022491506,0.0001886526,0.00061520445,0.0018199577,0.004536433,0.00020748092,0.0015664523,0.008057977],"category_scores_gemma":[0.0013749014,0.00009466442,0.000119109754,0.0015344189,0.0028326698,0.0073332163,0.0010573223,0.0022721002,0.0006734026],"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":[0.00003536517,0.00001056038,0.0017191868,0.000058744336,0.0000066583225,0.00012446166,0.0029806315,0.00013945175,0.000060843282,0.76077116,0.202685,0.03140801],"study_design_scores_gemma":[0.0000045520446,0.000012186227,0.0026337055,0.00024252395,0.0000047612803,0.00015020289,0.005396936,0.00020859254,0.00006155009,0.29449287,0.6967786,0.000013492383],"about_ca_topic_score_codex":0.01071158,"about_ca_topic_score_gemma":0.018722862,"teacher_disagreement_score":0.01071158,"about_ca_system_score_codex":0.0021910258,"about_ca_system_score_gemma":0.0013758098,"threshold_uncertainty_score":0.026956618},"labels":[],"label_agreement":null},{"id":"W4234722642","doi":"10.4095/301182","title":"Combined Resource-reliant Communities, 2001","year":2010,"lang":"en","type":"report","venue":"","topic":"Economic Growth and Productivity","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":"Resource (disambiguation); Business; Geography; Environmental resource management; Computer science; Environmental science","score_opus":0.08875597215867337,"score_gpt":0.24291025673645303,"score_spread":0.15415428457777966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234722642","genre_codex":"dataset","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":[0.026151812,0.00053311343,0.00029528348,0.0005394158,0.00011670531,0.00038262404,0.8960816,0.00023136806,0.075668104],"genre_scores_gemma":[0.055441525,0.0015181745,0.0017080425,0.00029826182,0.000058202153,0.0013367551,0.66374385,0.00011769532,0.27577743],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.999236,0.00004270189,0.000041355303,0.00007560718,0.00041310702,0.00019133279],"domain_scores_gemma":[0.9969909,0.00010001944,0.00016156326,0.00014295049,0.0021414678,0.0004631455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007290735,0.0008186182,0.0003491872,0.0041996446,0.001667295,0.0017626281,0.0017725824,0.00058745034,0.035957098],"category_scores_gemma":[0.0023434935,0.0007899495,0.00027011527,0.0075731296,0.00018381403,0.0013960971,0.0013685725,0.0008566701,0.0153791765],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015236477,0.00018446198,0.03935387,0.0002839215,0.000032637847,0.00018589827,0.0007039493,0.00043670542,0.00019561243,0.0012189222,0.90836656,0.04888507],"study_design_scores_gemma":[0.00007123708,0.00006910543,0.48659417,0.00019736619,0.000025531996,0.00023256383,0.0018039104,0.00049858796,0.00046806879,0.00021972417,0.5097839,0.000035687142],"about_ca_topic_score_codex":0.7148039,"about_ca_topic_score_gemma":0.8702892,"teacher_disagreement_score":0.7148039,"about_ca_system_score_codex":0.0053404993,"about_ca_system_score_gemma":0.009581679,"threshold_uncertainty_score":0.5737514},"labels":[],"label_agreement":null},{"id":"W4235700824","doi":"10.2139/ssrn.1267184","title":"Opportunistic R&amp;D Decision in the Fourth Fiscal Quarter and the Initial Evidence of R&amp;D Reversals","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Economics; Keynesian economics; Monetary economics; History","score_opus":0.08379048045590214,"score_gpt":0.2749025304102089,"score_spread":0.19111204995430675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235700824","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":[0.96337974,0.001524341,0.00019527972,0.009391138,0.00011660918,0.000045768313,0.0026465184,0.00003947613,0.022661122],"genre_scores_gemma":[0.99285454,0.00056006707,0.00007211227,0.0010987449,0.00011078762,0.000015091355,0.0010633594,0.0000059876656,0.0042193653],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983171,0.00013314567,0.00017264181,0.00013682355,0.00044742037,0.0007927517],"domain_scores_gemma":[0.95535266,0.009178498,0.02679834,0.0018769035,0.003513751,0.0032797242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004696058,0.00023596724,0.0007442594,0.0018852664,0.0013087116,0.0034385223,0.00067311036,0.0022836656,0.0052552014],"category_scores_gemma":[0.014995353,0.00026231533,0.00032021888,0.002028549,0.0011662713,0.0010224539,0.0011680601,0.0022860712,0.0010268624],"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":[0.0068720416,0.0009300772,0.887186,0.00026833598,0.00012291282,0.0011843807,0.0007026532,0.0021690042,0.001652159,0.013054419,0.029603211,0.056254823],"study_design_scores_gemma":[0.00018554804,0.00036470138,0.9644191,0.0000780553,0.000059815127,0.00022517165,0.0015218676,0.0007845424,0.0019250772,0.0031331694,0.027268121,0.000034752073],"about_ca_topic_score_codex":0.04938386,"about_ca_topic_score_gemma":0.04625485,"teacher_disagreement_score":0.04938386,"about_ca_system_score_codex":0.0023851797,"about_ca_system_score_gemma":0.0042233877,"threshold_uncertainty_score":0.09819281},"labels":[],"label_agreement":null},{"id":"W4236001866","doi":"10.4324/9780203094945-12","title":"Talent, technology and tolerance in Canadian regional development","year":2013,"lang":"en","type":"book-chapter","venue":"","topic":"Economic Growth and Productivity","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":"Economic geography; Geography","score_opus":0.028181308900227884,"score_gpt":0.17733284921431616,"score_spread":0.14915154031408828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236001866","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":[0.15566412,0.11975379,0.0039792005,0.02762409,0.0006236894,0.000050505954,0.0013891471,0.00014087284,0.6907746],"genre_scores_gemma":[0.85205424,0.03888738,0.0015415213,0.0006014534,0.00015349849,0.000016577394,0.0003017995,0.000035212048,0.10640824],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995196,0.000044665816,0.000012865791,0.000039560888,0.0001974799,0.00018589401],"domain_scores_gemma":[0.99943405,0.00010422939,0.000041115843,0.000014822017,0.00026815708,0.00013754648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005945176,0.00051934324,0.00029095146,0.0029743058,0.0038220882,0.003893267,0.00088901544,0.00072519714,0.0065083043],"category_scores_gemma":[0.0018955229,0.00017190102,0.00028075918,0.008425457,0.00337518,0.0010992609,0.000761226,0.0011253678,0.00029062707],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042454245,0.00003477389,0.012345416,0.00016579921,0.000024167333,0.00027554727,0.0056663645,0.008419279,0.00020980541,0.76652175,0.05889744,0.14739707],"study_design_scores_gemma":[0.000019141075,0.000030483214,0.11549576,0.00077119825,0.00007446275,0.0002549166,0.01782222,0.0065471097,0.00043218565,0.23554355,0.62287086,0.00013811362],"about_ca_topic_score_codex":0.9919219,"about_ca_topic_score_gemma":0.99544394,"teacher_disagreement_score":0.08402094,"about_ca_system_score_codex":0.08402094,"about_ca_system_score_gemma":0.061197102,"threshold_uncertainty_score":0.6096175},"labels":[],"label_agreement":null},{"id":"W4236688418","doi":"10.1504/ijesb.2018.10017003","title":"The limited innovation of small businesses in the solar photovoltaic sector in the USA: is small business innovation research program such a boon for US small businesses?","year":2018,"lang":"en","type":"article","venue":"International Journal of Entrepreneurship and Small Business","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Small business; Entrepreneurship; Business; Marketing; Photovoltaic system; Industrial organization; Finance; Engineering","score_opus":0.16298162634554117,"score_gpt":0.31974300725607807,"score_spread":0.1567613809105369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236688418","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":[0.97536874,0.00090622884,0.00033359526,0.013525241,0.000018877912,0.000011518133,0.00024414918,0.0000065863464,0.00958504],"genre_scores_gemma":[0.997401,0.0005882777,0.0000622797,0.00061785465,0.00002218509,0.000008191195,0.00014212824,0.0000016630394,0.0011564691],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990332,0.0003017201,0.000039054103,0.00010528771,0.0002785969,0.00024214454],"domain_scores_gemma":[0.98388094,0.007112783,0.0040292526,0.00037335567,0.0021450096,0.0024587126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019429122,0.000061937164,0.0002529882,0.000635999,0.00058389,0.0017919255,0.00035052863,0.00061492744,0.00268666],"category_scores_gemma":[0.011825116,0.00008166357,0.00012949221,0.0012649532,0.00066444575,0.0017728515,0.0008343461,0.0012885879,0.00033446506],"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":[0.00039515962,0.00086114206,0.83518076,0.00018411993,0.00008462851,0.0006563189,0.0044421405,0.00097005925,0.0012356638,0.019126358,0.01787221,0.11899143],"study_design_scores_gemma":[0.00002789796,0.00019808434,0.96268225,0.00017756825,0.000055986286,0.00019634161,0.009617177,0.001763863,0.00091328804,0.0050735027,0.019275542,0.000018535196],"about_ca_topic_score_codex":0.023090754,"about_ca_topic_score_gemma":0.05436092,"teacher_disagreement_score":0.023090754,"about_ca_system_score_codex":0.0014380834,"about_ca_system_score_gemma":0.0017693951,"threshold_uncertainty_score":0.045912683},"labels":[],"label_agreement":null},{"id":"W4236771621","doi":"10.2139/ssrn.1585884","title":"On the Persistence of Income Shocks Over the Life Cycle: Evidence and Implications, Second Version","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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 Toronto","funders":"","keywords":"Persistence (discontinuity); Economics; Econometrics; Demographic economics","score_opus":0.018458225381478597,"score_gpt":0.2141962244841709,"score_spread":0.1957379991026923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236771621","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":[0.7446009,0.08895213,0.009922411,0.082180835,0.005800096,0.00011064573,0.045411035,0.00027150096,0.022750499],"genre_scores_gemma":[0.9508723,0.0215458,0.0010577857,0.0036943827,0.0028343431,0.000044728105,0.01203757,0.00006459012,0.007848459],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918455,0.00014314812,0.0001153017,0.00025999008,0.00019771063,0.000099336015],"domain_scores_gemma":[0.95847976,0.030282235,0.004536717,0.0023240843,0.0037184248,0.00065879826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024526778,0.00048182305,0.00084611657,0.0022470697,0.0005773426,0.0026757163,0.0012000724,0.001606566,0.0137552265],"category_scores_gemma":[0.028475627,0.00027147355,0.0010208868,0.004982473,0.001236014,0.0016943855,0.0011215392,0.0014473689,0.001873942],"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":[0.0066318265,0.00068356935,0.48239222,0.004613434,0.0025895583,0.0017487422,0.0012319877,0.009922677,0.0029229056,0.04426763,0.13721466,0.30578077],"study_design_scores_gemma":[0.000526711,0.00082474,0.8453796,0.0013288585,0.0025480588,0.00071829226,0.0013502652,0.009793942,0.0042071305,0.07507718,0.05809733,0.000147855],"about_ca_topic_score_codex":0.010793372,"about_ca_topic_score_gemma":0.0056080017,"teacher_disagreement_score":0.0137552265,"about_ca_system_score_codex":0.0008017798,"about_ca_system_score_gemma":0.0009200471,"threshold_uncertainty_score":0.04601586},"labels":[],"label_agreement":null},{"id":"W4237910180","doi":"10.31219/osf.io/a8rq3","title":"War after War: Wilhem Krelle,1916-2004","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"German; Officer; Politics; Economic history; Political science; West germany; World War II; Sociology; Management; Law; History; Economics","score_opus":0.024769720841892925,"score_gpt":0.19928960943508015,"score_spread":0.17451988859318723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237910180","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16418187,0.1339351,0.0023705943,0.18832752,0.014825394,0.00007015821,0.0038818389,0.0001860525,0.49222156],"genre_scores_gemma":[0.47923657,0.06649154,0.0006093767,0.011026523,0.003193419,0.000055703742,0.0016495418,0.00022818416,0.4375091],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99951386,0.000096261174,0.000015476748,0.00008963061,0.00014540259,0.00013941791],"domain_scores_gemma":[0.9996165,0.000087909124,0.00007805909,0.000016180184,0.000077753284,0.00012367121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059585867,0.0004009853,0.00020389359,0.00072373246,0.002356894,0.0027222214,0.00030078922,0.0011071998,0.0107693225],"category_scores_gemma":[0.0024732747,0.00017932439,0.00011365508,0.001020778,0.0010422962,0.0017094007,0.0017380897,0.0017127824,0.004897338],"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":[0.00019453737,0.00008047014,0.0055739214,0.0003648108,0.000023881394,0.0011913603,0.016521089,0.00052546413,0.00068742805,0.087079115,0.7849625,0.10279556],"study_design_scores_gemma":[0.0000027823212,0.000013094744,0.004425187,0.00016435105,0.0000028100942,0.00013638676,0.0026136744,0.000033127035,0.0002693426,0.001741124,0.99059075,0.0000073870387],"about_ca_topic_score_codex":0.011837921,"about_ca_topic_score_gemma":0.041619025,"teacher_disagreement_score":0.011837921,"about_ca_system_score_codex":0.0045293327,"about_ca_system_score_gemma":0.0022013402,"threshold_uncertainty_score":0.036027014},"labels":[],"label_agreement":null},{"id":"W4238070430","doi":"10.1108/oxan-es210217","title":"Net trade will be a drag on first-quarter US growth","year":2016,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Economic Growth and Productivity","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":"Drag; Quarter (Canadian coin); Economics; Environmental science; Geography; Physics; Mechanics; Archaeology","score_opus":0.017718041160617558,"score_gpt":0.20956881376269734,"score_spread":0.19185077260207978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238070430","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019055158,0.004549276,0.00076038146,0.08579969,0.037411194,0.00010905405,0.03636915,0.0022874947,0.8308083],"genre_scores_gemma":[0.0076984074,0.003832451,0.0006411143,0.019043589,0.0044190334,0.000121005854,0.011791639,0.00081074634,0.951642],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99880815,0.000071143855,0.000059018475,0.00010975891,0.00074103946,0.00021083449],"domain_scores_gemma":[0.997357,0.00021274853,0.0002554975,0.0001702938,0.0012999224,0.0007045751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013217233,0.0009635506,0.00061086065,0.0015736641,0.0014301388,0.006076413,0.0007063171,0.0054872604,0.18923566],"category_scores_gemma":[0.006485962,0.0004116175,0.0006901813,0.001958956,0.00060476124,0.003709617,0.0022195566,0.004231724,0.12545471],"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":[0.000012768949,0.000008215331,0.00009680769,0.000017758812,9.486965e-7,0.000008919749,0.0000049650907,0.000029496365,0.000026089128,0.0014837052,0.99085677,0.007453523],"study_design_scores_gemma":[0.000016898759,0.0000114343375,0.002158268,0.00015890798,0.0000042714983,0.000021736774,0.00005860724,0.00009598281,0.00017682216,0.0021040596,0.9951799,0.000013066321],"about_ca_topic_score_codex":0.031176602,"about_ca_topic_score_gemma":0.04403114,"teacher_disagreement_score":0.18923566,"about_ca_system_score_codex":0.0026547532,"about_ca_system_score_gemma":0.0075217965,"threshold_uncertainty_score":0.63305634},"labels":[],"label_agreement":null},{"id":"W4238176046","doi":"10.1057/9781137305688_292","title":"D1 North America: Indices of Industrial Production","year":2013,"lang":"en","type":"book-chapter","venue":"International Historical Statistics","topic":"Economic Growth and Productivity","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":"Production (economics); Environmental science; Economics","score_opus":0.06213155119554531,"score_gpt":0.2111638722411217,"score_spread":0.1490323210455764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238176046","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002188384,0.028265439,0.0023179967,0.0033906316,0.0040422883,0.00016817836,0.5996082,0.0011668004,0.3588521],"genre_scores_gemma":[0.024108844,0.039533447,0.008748455,0.0017271563,0.0028943992,0.0004882566,0.65159774,0.0014777181,0.269424],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99923396,0.00007212973,0.000071218456,0.00016704551,0.00039455423,0.00006115712],"domain_scores_gemma":[0.9978065,0.0001747636,0.00033122292,0.00010593419,0.001485516,0.000096040945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051266403,0.0017768998,0.0006446319,0.007263328,0.0007180243,0.002477252,0.0009991775,0.0004677599,0.074767485],"category_scores_gemma":[0.0029605534,0.0004216384,0.00038183283,0.021652227,0.00041176938,0.0023026876,0.0010141196,0.0016471667,0.06306187],"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":[0.000008953606,0.000006742358,0.0011192025,0.0001722361,0.00000558028,0.000007299891,0.000040169085,0.000118726515,0.00003290433,0.003846681,0.9750396,0.019601798],"study_design_scores_gemma":[0.0000023747734,0.0000035501344,0.006187079,0.00014189458,0.0000036601248,0.00001992753,0.000059883558,0.000040879546,0.000054478132,0.001213959,0.99226695,0.0000053582376],"about_ca_topic_score_codex":0.08899629,"about_ca_topic_score_gemma":0.090565816,"teacher_disagreement_score":0.08899629,"about_ca_system_score_codex":0.0026460863,"about_ca_system_score_gemma":0.0050210403,"threshold_uncertainty_score":0.25012213},"labels":[],"label_agreement":null},{"id":"W4238292879","doi":"10.1108/oxan-db205343","title":"Czech pre-2009 growth rate may return","year":2015,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Economic Growth and Productivity","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":"Czech; Quarter (Canadian coin); Economics; Slowdown; Setback; Industrial production; Real gross domestic product; Economic recovery; Economy; Gross domestic product; Geography; Agricultural economics; Monetary economics; Political science; Macroeconomics; Economic growth","score_opus":0.02926512496251134,"score_gpt":0.2314616290336071,"score_spread":0.20219650407109574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238292879","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023802573,0.009160962,0.0011831734,0.009554284,0.00820912,0.00020532197,0.09622284,0.0022136918,0.84944797],"genre_scores_gemma":[0.13701989,0.008817897,0.0014225013,0.0019653072,0.0011335751,0.00023954261,0.07256319,0.0013558298,0.77548236],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992867,0.000035831737,0.000072584575,0.00012448948,0.00031619723,0.00016429773],"domain_scores_gemma":[0.9991468,0.00003581439,0.00009308879,0.00007597816,0.0004932152,0.00015502797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007568629,0.0005902785,0.00027978385,0.0022464476,0.00062811346,0.003902044,0.00048557777,0.0006547481,0.09613113],"category_scores_gemma":[0.0031031482,0.00016932483,0.00031854116,0.0017199919,0.00027278328,0.001653684,0.0017891455,0.0013192408,0.07046295],"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":[0.00022616921,0.000032836902,0.006453649,0.000367244,0.000013163258,0.00016127723,0.00013986454,0.00034091144,0.00081879826,0.015892465,0.8704239,0.105129644],"study_design_scores_gemma":[0.00000883868,0.000010137018,0.020772979,0.00010146947,0.0000032413361,0.000110345616,0.00011110898,0.00009205778,0.0004209153,0.00042601262,0.9779318,0.000011073973],"about_ca_topic_score_codex":0.022402335,"about_ca_topic_score_gemma":0.018031945,"teacher_disagreement_score":0.09613113,"about_ca_system_score_codex":0.0022557816,"about_ca_system_score_gemma":0.0027412223,"threshold_uncertainty_score":0.32159066},"labels":[],"label_agreement":null},{"id":"W4238998090","doi":"10.1002/9781118445112.stat03470","title":"Human Capital","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Economics; Human capital; Estimation; Variable (mathematics); Value (mathematics); Distribution (mathematics); Econometrics; Sample (material); Latent variable; Capital (architecture); Actuarial science; Statistics; Mathematics; Geography; Economic growth","score_opus":0.048423017312701905,"score_gpt":0.2666233491420098,"score_spread":0.2182003318293079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238998090","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028538262,0.015108824,0.009883703,0.007885083,0.0012793243,0.00019147444,0.024777187,0.00051312585,0.911823],"genre_scores_gemma":[0.5477779,0.025454395,0.008104109,0.0019334322,0.001309394,0.00027208633,0.02213839,0.00013543958,0.39287484],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994041,0.00011733604,0.00003167833,0.00011075852,0.00024386134,0.00009225854],"domain_scores_gemma":[0.9988927,0.00031508366,0.00017232046,0.00014051919,0.0003114048,0.00016795969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006727044,0.00035297594,0.00024687554,0.0023893884,0.0004490065,0.0025888951,0.00042955682,0.0004007923,0.06671184],"category_scores_gemma":[0.004139842,0.00007471046,0.00017510627,0.002938058,0.00044523834,0.001151279,0.00075850345,0.00065067946,0.010592],"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":[0.000040079372,0.00006695486,0.014713764,0.00027427456,0.000036133428,0.0001129657,0.00047986783,0.0018424428,0.00022709,0.3108592,0.29801607,0.37333125],"study_design_scores_gemma":[0.000006773301,0.000038014543,0.0228853,0.000509954,0.000013312989,0.00019896138,0.00043220064,0.00066697726,0.00037231154,0.046159662,0.92869896,0.000017634591],"about_ca_topic_score_codex":0.0053811977,"about_ca_topic_score_gemma":0.0035053003,"teacher_disagreement_score":0.06671184,"about_ca_system_score_codex":0.0016124777,"about_ca_system_score_gemma":0.0013576148,"threshold_uncertainty_score":0.22317332},"labels":[],"label_agreement":null},{"id":"W4240402283","doi":"10.7202/1087021ar","title":"Ajustement macroéconomique aux technologies multi-usages","year":2020,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Obsolescence; Political science; Art; Business","score_opus":0.1504161514074398,"score_gpt":0.26034739301232823,"score_spread":0.10993124160488843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240402283","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":[0.8602453,0.011884535,0.031842396,0.008228519,0.0002445453,0.00016627168,0.0035105867,0.0003345415,0.08354323],"genre_scores_gemma":[0.976547,0.00550617,0.0033020482,0.0005610257,0.0001475435,0.000119987475,0.0007080159,0.000059083646,0.01304911],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99728537,0.0010462133,0.000111062895,0.0004448443,0.00066747004,0.00044506197],"domain_scores_gemma":[0.97793716,0.014215635,0.0043857465,0.0013468111,0.001487095,0.0006275867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00285046,0.0006332959,0.0007017139,0.0021421562,0.000805424,0.006200449,0.00062939135,0.0012799577,0.012830922],"category_scores_gemma":[0.011446249,0.000408694,0.0014007097,0.00417475,0.001492961,0.0040731523,0.0026339015,0.0021274802,0.001266311],"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":[0.0010665533,0.000550476,0.43310276,0.0012287309,0.0014087085,0.0017225255,0.0033410403,0.065354176,0.0050691096,0.32125363,0.0072727064,0.15862966],"study_design_scores_gemma":[0.00016686221,0.0011917242,0.57820183,0.0009765719,0.0017600303,0.0011551337,0.007454389,0.056651242,0.008717931,0.14565058,0.1978228,0.00025091757],"about_ca_topic_score_codex":0.012532368,"about_ca_topic_score_gemma":0.0083723385,"teacher_disagreement_score":0.012830922,"about_ca_system_score_codex":0.0022440357,"about_ca_system_score_gemma":0.0012423499,"threshold_uncertainty_score":0.04292369},"labels":[],"label_agreement":null},{"id":"W4240902119","doi":"10.2139/ssrn.1455884","title":"Growth Opportunities and Expected Stock Returns","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Kellogg's (Canada)","funders":"","keywords":"Stock (firearms); Growth stock; Business; Economics; Financial economics; Econometrics; Monetary economics; Stock market; Stock market bubble; Biology; Geography","score_opus":0.03396541731729061,"score_gpt":0.20998897513433823,"score_spread":0.17602355781704762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240902119","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":[0.9893618,0.00063800643,0.0023288536,0.0007527948,0.000023034112,0.000008759379,0.0004457423,0.000042088348,0.006398978],"genre_scores_gemma":[0.9982674,0.000213973,0.00010369463,0.000013334368,0.000028542278,0.0000031652062,0.0001383023,0.0000036626666,0.0012278457],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998006,0.000052941847,0.000018157327,0.000025677195,0.000045133696,0.000057487945],"domain_scores_gemma":[0.9838383,0.010255565,0.0035268315,0.00033939874,0.00048202075,0.0015578096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012313536,0.00025980172,0.00025529397,0.0009388475,0.00017596943,0.0017349768,0.0002786809,0.0007656625,0.0064550927],"category_scores_gemma":[0.014623845,0.00017618785,0.00029442273,0.0006253848,0.00051877525,0.0018522254,0.0006964825,0.00092915026,0.0009583265],"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":[0.0012208193,0.00030206388,0.85505974,0.000112076814,0.00017695175,0.0016778792,0.0003887969,0.027418714,0.0014410326,0.069480896,0.0026219513,0.04009912],"study_design_scores_gemma":[0.00011077915,0.00047326702,0.74264467,0.00009307052,0.00014176761,0.0022472874,0.00084777694,0.07904917,0.0016217306,0.16929834,0.0034040099,0.000068196096],"about_ca_topic_score_codex":0.0005966554,"about_ca_topic_score_gemma":0.00091354287,"teacher_disagreement_score":0.0064550927,"about_ca_system_score_codex":0.0003525201,"about_ca_system_score_gemma":0.00020040633,"threshold_uncertainty_score":0.021594465},"labels":[],"label_agreement":null},{"id":"W4241403131","doi":"10.1002/9781118786352.wbieg0043","title":"Population Growth","year":2017,"lang":"en","type":"other","venue":"International Encyclopedia of Geography","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Population growth; Population; Population momentum; World population; Fertility; Geography; Demography; Birth rate; Sociology","score_opus":0.012024206587847147,"score_gpt":0.21830034748642063,"score_spread":0.2062761408985735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241403131","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010014094,0.019025033,0.011544678,0.012501793,0.003082851,0.00018187876,0.024706772,0.0009525286,0.9179904],"genre_scores_gemma":[0.2527008,0.08400941,0.009875725,0.00462578,0.003434424,0.00060361496,0.040877685,0.0007580254,0.6031145],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99918,0.00011477698,0.000041621,0.00016158387,0.0003984976,0.000103527644],"domain_scores_gemma":[0.9992151,0.000112359754,0.00007731459,0.00006990202,0.0004468169,0.00007842651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008910872,0.00062623894,0.00034862853,0.0018855769,0.0010132443,0.002844865,0.00071187795,0.000822147,0.06557129],"category_scores_gemma":[0.004301679,0.00014671766,0.00046015982,0.0034730628,0.00058833143,0.0025545475,0.0020105278,0.0014715238,0.03139423],"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":[0.00004444166,0.000025556574,0.0071934164,0.0004113725,0.000022804245,0.0001701449,0.000702223,0.0014622239,0.0002455443,0.26094458,0.432386,0.2963916],"study_design_scores_gemma":[0.0000032042722,0.00001587797,0.004120039,0.000201697,0.0000059225977,0.00015659086,0.0002664633,0.0005139639,0.00009223456,0.012672497,0.9819425,0.000009019263],"about_ca_topic_score_codex":0.016040763,"about_ca_topic_score_gemma":0.011109984,"teacher_disagreement_score":0.06557129,"about_ca_system_score_codex":0.00213317,"about_ca_system_score_gemma":0.002050282,"threshold_uncertainty_score":0.21935785},"labels":[],"label_agreement":null},{"id":"W4241423132","doi":"10.1108/oxan-db235380","title":"Overheating is among risks for Central-Eastern Europe","year":2018,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Economic Growth and Productivity","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":"Czech; Pace; Economic shortage; Quarter (Canadian coin); Economics; Overheating (electricity); Economic policy; Geography; Economy; International economics","score_opus":0.05587200902406915,"score_gpt":0.2564054350439035,"score_spread":0.20053342601983437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241423132","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07376101,0.05706242,0.0024576774,0.23150107,0.015946457,0.00008563665,0.0038548918,0.0007502955,0.61458063],"genre_scores_gemma":[0.52504605,0.049893387,0.0035489511,0.069909915,0.0071912366,0.00011317461,0.006166673,0.00095043756,0.3371801],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990729,0.00019250615,0.000058751386,0.000104863604,0.00031100033,0.00026005277],"domain_scores_gemma":[0.99736327,0.00036227578,0.0005518278,0.00035910876,0.00073654926,0.00062702975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029521275,0.0003368812,0.00029359304,0.0010365117,0.0015964737,0.0055354326,0.000503818,0.0012757697,0.036444336],"category_scores_gemma":[0.006012663,0.00014553471,0.0003982907,0.001698343,0.0011675617,0.0029543892,0.003751956,0.0019638306,0.006362335],"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":[0.00018120649,0.00004913516,0.023288863,0.0005362968,0.00006783847,0.0007674043,0.0021687576,0.00038452857,0.00044937056,0.06326289,0.6742029,0.23464079],"study_design_scores_gemma":[0.000008823916,0.000017194301,0.018296404,0.0006476021,0.000015199699,0.0003014207,0.0017879239,0.00006040182,0.0002655681,0.007574222,0.97101104,0.000014225746],"about_ca_topic_score_codex":0.0060362765,"about_ca_topic_score_gemma":0.0072925733,"teacher_disagreement_score":0.036444336,"about_ca_system_score_codex":0.0010570498,"about_ca_system_score_gemma":0.0027843574,"threshold_uncertainty_score":0.12191844},"labels":[],"label_agreement":null},{"id":"W4242489395","doi":"10.1108/oxan-db247934","title":"Prospects for the US economy in 2020","year":2019,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Economic Growth and Productivity","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":"Recession; Economics; Rest (music); Slow growth; Quarter (Canadian coin); Manufacturing sector; Economy; Market economy; Keynesian economics; Macroeconomics; Geography","score_opus":0.01958897266157041,"score_gpt":0.2169709158633285,"score_spread":0.1973819432017581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242489395","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001987647,0.0243441,0.00087255856,0.2059869,0.026872054,0.000052570555,0.010399599,0.00062878313,0.72885585],"genre_scores_gemma":[0.04353332,0.04257995,0.002287785,0.06437711,0.009478754,0.00023955431,0.014434284,0.00044717244,0.822622],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99936146,0.0000884471,0.000029816625,0.000054674165,0.00028505232,0.00018055411],"domain_scores_gemma":[0.9989504,0.000071236005,0.00007908272,0.00004772017,0.00045934622,0.00039231442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014261411,0.00063548645,0.00029456764,0.0012427642,0.0015376236,0.004961456,0.00039851098,0.0033264838,0.124053694],"category_scores_gemma":[0.003634484,0.00013990089,0.0004136267,0.0013916402,0.00070592976,0.0040880404,0.0026325665,0.0027299293,0.07028396],"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":[0.000014505204,0.000017624043,0.00029959143,0.000068251815,0.0000021744625,0.00003664101,0.000030443978,0.0000763183,0.000078269455,0.02249333,0.9366075,0.040275395],"study_design_scores_gemma":[0.0000021749486,0.0000047425847,0.0007332385,0.00013600594,0.0000012120857,0.000023283566,0.00011121335,0.000031256586,0.000040882253,0.0048897094,0.99402136,0.0000047261],"about_ca_topic_score_codex":0.011066743,"about_ca_topic_score_gemma":0.015259552,"teacher_disagreement_score":0.124053694,"about_ca_system_score_codex":0.0020324306,"about_ca_system_score_gemma":0.0053932955,"threshold_uncertainty_score":0.41500092},"labels":[],"label_agreement":null},{"id":"W4243530067","doi":"10.4095/301106","title":"Growth Rates of the Service Industries, 1986 to 1996","year":2010,"lang":"en","type":"report","venue":"","topic":"Economic Growth and Productivity","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":"Service (business); Business; Tertiary sector of the economy; Marketing","score_opus":0.07575370833875684,"score_gpt":0.24633854607151198,"score_spread":0.17058483773275512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243530067","genre_codex":"dataset","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":[0.15418656,0.0021315122,0.0010610914,0.0010536441,0.00022694752,0.00014497766,0.79391384,0.00046166344,0.046819698],"genre_scores_gemma":[0.21526246,0.0068946676,0.0021594425,0.00020269076,0.00016730228,0.0002718459,0.69218254,0.00020488571,0.08265424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998672,0.000078136916,0.00018980002,0.00017817925,0.0005818009,0.00030017828],"domain_scores_gemma":[0.9937122,0.0002679384,0.0015301659,0.00020358013,0.0039197453,0.00036651836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012208103,0.0010864162,0.00032387185,0.007187334,0.0004741704,0.0016363631,0.000916801,0.00045679574,0.006543802],"category_scores_gemma":[0.0065748678,0.00035964884,0.0004856525,0.014599917,0.00021522383,0.001110615,0.00096485874,0.0011297953,0.0074127363],"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":[0.0010309824,0.00019133184,0.50428444,0.0011037048,0.00017647087,0.00038256423,0.0016271925,0.006086193,0.0013228552,0.0071815643,0.31751594,0.15909682],"study_design_scores_gemma":[0.000024566723,0.0000522399,0.73166376,0.0001932905,0.00002954711,0.00023670636,0.0006137776,0.0008927831,0.001256208,0.00020147527,0.26480836,0.000027273683],"about_ca_topic_score_codex":0.27369884,"about_ca_topic_score_gemma":0.19392952,"teacher_disagreement_score":0.27369884,"about_ca_system_score_codex":0.0046021417,"about_ca_system_score_gemma":0.0028799674,"threshold_uncertainty_score":0.5442115},"labels":[],"label_agreement":null},{"id":"W4243979979","doi":"10.1108/oxan-db203242","title":"Prospects for Africa in the fourth quarter","year":2015,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Cabinet (room); Milestone; China; Commodity; Economy; Economics; Geography; Development economics; Political science; Market economy; Cartography","score_opus":0.04502702848419737,"score_gpt":0.23331639547918462,"score_spread":0.18828936699498725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243979979","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037937795,0.045643356,0.0004431282,0.094985425,0.032238953,0.00007309587,0.0017639196,0.00019974736,0.8208585],"genre_scores_gemma":[0.021894267,0.019390482,0.0003455493,0.012395546,0.004060732,0.000058094924,0.0007670003,0.00011060072,0.9409777],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996904,0.000046714526,0.00001106276,0.000027674801,0.00007680638,0.00014734852],"domain_scores_gemma":[0.9993261,0.00004533339,0.00006588186,0.000052219926,0.00015287942,0.00035767638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068639545,0.0005072815,0.0002432521,0.000824721,0.0016241001,0.005287901,0.00040568787,0.0021743628,0.14498265],"category_scores_gemma":[0.001554242,0.00014625421,0.00028399896,0.00070389896,0.0005715392,0.0034074604,0.0025532271,0.002016598,0.04260756],"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":[0.000023869106,0.000025871002,0.00044479768,0.00011714515,0.0000020895295,0.00015547521,0.000111443806,0.000068378606,0.00017798874,0.028283175,0.91860753,0.051982224],"study_design_scores_gemma":[0.0000014411431,0.0000035638577,0.00043009917,0.000085010994,5.284234e-7,0.00004215849,0.00011560887,0.000013094911,0.00003948077,0.001439799,0.99782735,0.0000018110321],"about_ca_topic_score_codex":0.0032865363,"about_ca_topic_score_gemma":0.0050154477,"teacher_disagreement_score":0.14498265,"about_ca_system_score_codex":0.0010818724,"about_ca_system_score_gemma":0.0026827673,"threshold_uncertainty_score":0.48501527},"labels":[],"label_agreement":null},{"id":"W4244340736","doi":"10.4018/978-1-5225-7598-6.ch126","title":"The Economics of Internetization","year":2018,"lang":"en","type":"book-chapter","venue":"Advances in computer and electrical engineering book series","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Globalization; Transformational leadership; Currency; Transformative learning; Digital economy; Economy; Information economy; World economy; Political science; Economic system; Economics; Sociology; Market economy; Law; Public relations","score_opus":0.006546022619058715,"score_gpt":0.16945809890738267,"score_spread":0.16291207628832396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244340736","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":[0.011301036,0.022022914,0.008075966,0.031532608,0.0005644555,0.000036124617,0.00028283498,0.000046766967,0.9261372],"genre_scores_gemma":[0.77422756,0.051976867,0.0023922585,0.010474023,0.0038816528,0.00017522303,0.00031607357,0.00011113589,0.15644519],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992719,0.00025709855,0.000015566513,0.00008461426,0.00024200707,0.00012875385],"domain_scores_gemma":[0.9988073,0.0006516759,0.00012540173,0.00011132302,0.00018979731,0.000114546565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006757221,0.0003368746,0.00025501056,0.001514961,0.0011576617,0.005181637,0.00043002467,0.0019466728,0.013291061],"category_scores_gemma":[0.0031110856,0.00020385842,0.00031974757,0.0019709799,0.0050815674,0.0062329597,0.0016383103,0.0024125034,0.0016500548],"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":[0.0000030152403,0.0000049943046,0.00009319122,0.00001340716,0.0000018705402,0.000014783756,0.000039562023,0.00033437618,0.000015282716,0.98932207,0.006256214,0.0039013603],"study_design_scores_gemma":[0.000007767278,0.000010293229,0.00092619593,0.00015558545,0.000004155407,0.00009370399,0.00021369755,0.0010092693,0.000077747296,0.83679116,0.16070081,0.000009677381],"about_ca_topic_score_codex":0.0028609897,"about_ca_topic_score_gemma":0.0015181741,"teacher_disagreement_score":0.013291061,"about_ca_system_score_codex":0.0037891136,"about_ca_system_score_gemma":0.0015617708,"threshold_uncertainty_score":0.04446304},"labels":[],"label_agreement":null},{"id":"W4244729320","doi":"10.1108/oxan-es210297","title":"China first-quarter growth may surprise on the upside","year":2016,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Economic Growth and Productivity","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":"Surprise; Quarter (Canadian coin); China; History; Psychology; Archaeology; Communication","score_opus":0.01842364696970886,"score_gpt":0.2087195259109913,"score_spread":0.19029587894128244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244729320","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010071265,0.006423676,0.0004925394,0.35035864,0.04309197,0.00009758815,0.01872365,0.0021838748,0.5685567],"genre_scores_gemma":[0.06908508,0.0057796407,0.0003929098,0.06902913,0.013446104,0.00009344735,0.007768131,0.00092519406,0.8334804],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992094,0.000049034406,0.00003097789,0.00006861409,0.00041669508,0.00022528696],"domain_scores_gemma":[0.99771935,0.00014530397,0.00026840024,0.00015785405,0.0010010258,0.0007080747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013594752,0.00075167086,0.00046390205,0.0012594176,0.001771618,0.006545749,0.0006831624,0.0049814233,0.0920989],"category_scores_gemma":[0.005494002,0.00024817165,0.00045443873,0.0018292041,0.00081985124,0.002947045,0.0016529866,0.0042982204,0.03113804],"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":[0.000023218328,0.000005556246,0.0004903213,0.000016870266,0.0000016367908,0.000049499045,0.000022400898,0.000044123004,0.00004343086,0.0024847495,0.99128914,0.0055290377],"study_design_scores_gemma":[0.000036898065,0.00002352875,0.008958481,0.00015189992,0.000007482696,0.000054486052,0.00024406615,0.00042482474,0.00039945144,0.003441768,0.9862257,0.000031351614],"about_ca_topic_score_codex":0.05904244,"about_ca_topic_score_gemma":0.07446911,"teacher_disagreement_score":0.0920989,"about_ca_system_score_codex":0.0045387032,"about_ca_system_score_gemma":0.0063330797,"threshold_uncertainty_score":0.30810148},"labels":[],"label_agreement":null},{"id":"W4246251239","doi":"10.4324/9780203104651-12","title":"BECOMING DIGITAL","year":2003,"lang":"en","type":"book-chapter","venue":"","topic":"Economic Growth and Productivity","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":"Computer science","score_opus":0.04843008309826082,"score_gpt":0.19198156080229625,"score_spread":0.14355147770403542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246251239","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00061114546,0.0074457335,0.0018415534,0.0056265397,0.0029433188,0.00003143679,0.00019132558,0.00033720947,0.9809717],"genre_scores_gemma":[0.005472516,0.0115675805,0.0014359099,0.0030245588,0.00097634847,0.000037356545,0.00034085853,0.0001989333,0.97694606],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993339,0.00009629792,0.000039040086,0.00013779997,0.0003003801,0.00009250394],"domain_scores_gemma":[0.99906904,0.00017046092,0.000055163087,0.00023054365,0.00021393926,0.00026089762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006490855,0.00071027764,0.0004394161,0.0013241734,0.0020368455,0.011072792,0.0011214473,0.002537846,0.2616974],"category_scores_gemma":[0.0025751207,0.0002831924,0.00036879507,0.0023897807,0.002002793,0.014030784,0.0045995996,0.003084764,0.15507425],"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":[0.000012985565,0.000028724415,0.00022773094,0.0002021525,0.000004604597,0.00014019704,0.0012414535,0.00007648055,0.00053589477,0.14923379,0.5890958,0.25920013],"study_design_scores_gemma":[4.9119836e-7,0.0000021685694,0.000073599214,0.00006119136,6.923685e-7,0.00008098855,0.000113040674,0.000009321445,0.000028526994,0.0038264096,0.9958022,0.0000014443073],"about_ca_topic_score_codex":0.0011139113,"about_ca_topic_score_gemma":0.0023731987,"teacher_disagreement_score":0.2616974,"about_ca_system_score_codex":0.0013170638,"about_ca_system_score_gemma":0.0017936853,"threshold_uncertainty_score":0.87546504},"labels":[],"label_agreement":null},{"id":"W4246887485","doi":"10.1023/a:1015748220026","title":"International Comparisons of Trends in Economic Well-being","year":2002,"lang":"en","type":"article","venue":"Social Indicators Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":20,"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":"Economics; Human geography; Anticipation (artificial intelligence); Per capita; Consumption (sociology); Index (typography); Inequality; Economic inequality; Demographic economics; Distribution (mathematics); National accounts; Quality of Life Research; Per capita income; Econometrics; Development economics; Economic geography; Public health; Macroeconomics; Sociology; Mathematics; Demography; Population; Social science","score_opus":0.1170449600662734,"score_gpt":0.34731718415385,"score_spread":0.23027222408757658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246887485","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":[0.9245851,0.009055236,0.0006570188,0.0018523195,0.00019923192,0.000036314676,0.017157013,0.00006185263,0.04639588],"genre_scores_gemma":[0.98583126,0.0031084265,0.00027250237,0.00009236549,0.000091826485,0.000023961042,0.008637126,0.000022214064,0.0019203279],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992773,0.00014008173,0.0001029567,0.00014525536,0.00013740704,0.0001970885],"domain_scores_gemma":[0.9947154,0.0010862718,0.0014964363,0.00037051196,0.0018953792,0.00043600306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014695822,0.00032260315,0.00041453223,0.005219695,0.00037012118,0.0012818439,0.00035598714,0.00041684086,0.004653727],"category_scores_gemma":[0.0055383155,0.00013878163,0.00052051974,0.0141432695,0.000509059,0.0018334464,0.0010681129,0.00088664505,0.0007140539],"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":[0.0021475907,0.00019687535,0.8704798,0.000659254,0.00052630185,0.00014993064,0.0043734964,0.0010968314,0.0013712968,0.010646393,0.009268696,0.09908351],"study_design_scores_gemma":[0.0000073666542,0.000114967894,0.9911232,0.000054384367,0.00006812226,0.00007219436,0.0018422074,0.00008555625,0.00022375383,0.00034724848,0.0060518775,0.000009010049],"about_ca_topic_score_codex":0.007632033,"about_ca_topic_score_gemma":0.010386814,"teacher_disagreement_score":0.007632033,"about_ca_system_score_codex":0.0006780192,"about_ca_system_score_gemma":0.00047718038,"threshold_uncertainty_score":0.015568256},"labels":[],"label_agreement":null},{"id":"W4249502513","doi":"10.17265/2328-7144/2015.0506.001","title":"A Panel Granger Causality Test of Investment in ICT Capital and Economic Growth: Evidence From Developed and Developing Countries","year":2015,"lang":"en","type":"article","venue":"Economics World","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The King's University; Western University","funders":"King's University College","keywords":"Granger causality; Economics; Causality (physics); Investment (military); Developing country; Test (biology); Capital investment; Panel data; Capital (architecture); Monetary economics; Information and Communications Technology; Macroeconomics; International economics; Econometrics; Economic growth; Finance; Political science; Geography","score_opus":0.10748610468308267,"score_gpt":0.23941541632833643,"score_spread":0.13192931164525376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249502513","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":[0.9853542,0.0006826223,0.004246469,0.0002705983,0.000038343587,0.00002919726,0.0020993708,0.000031657313,0.007247652],"genre_scores_gemma":[0.9952618,0.00043064426,0.0009189145,0.000048915597,0.000018691175,0.00001918833,0.0029832262,0.0000056850354,0.00031291696],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99849427,0.00088070624,0.0001014666,0.00020830536,0.00016144266,0.00015387082],"domain_scores_gemma":[0.9755996,0.016506089,0.004695159,0.0012937745,0.0012471926,0.00065822224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037695894,0.0004724971,0.0004985466,0.0022756802,0.000444327,0.0012318704,0.00037085227,0.0004275324,0.0028433627],"category_scores_gemma":[0.012625496,0.00023653667,0.00092912506,0.0044074925,0.00061140006,0.0011088052,0.0012922266,0.001040331,0.0005107345],"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":[0.0004664646,0.00014667591,0.9654857,0.00007020634,0.00092147087,0.00027471827,0.00027444618,0.005960259,0.00032344944,0.0022778301,0.0012901382,0.022508696],"study_design_scores_gemma":[0.00019508465,0.000726577,0.9558289,0.00012519947,0.0012672803,0.00037824493,0.0021826222,0.027069198,0.0017001993,0.0054382877,0.005029018,0.000059351583],"about_ca_topic_score_codex":0.004997052,"about_ca_topic_score_gemma":0.0038870825,"teacher_disagreement_score":0.004997052,"about_ca_system_score_codex":0.00027765112,"about_ca_system_score_gemma":0.00066135195,"threshold_uncertainty_score":0.019935727},"labels":[],"label_agreement":null},{"id":"W4250046536","doi":"10.2514/6.iac-04-m.2.02","title":"The Economic Case for Satellite Servicing","year":2004,"lang":"en","type":"article","venue":"55th International Astronautical Congress of the International Astronautical Federation, the International Academy of Astronautics, and the International Institute of Space Law","topic":"Economic Growth and Productivity","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":"Air Canada","funders":"","keywords":"Satellite; Computer science; Satellite broadcasting; Engineering; Aerospace engineering","score_opus":0.025652883518655186,"score_gpt":0.25791982775220595,"score_spread":0.23226694423355077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250046536","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":[0.04189096,0.0046960283,0.0024012933,0.15572788,0.00067239115,0.00001727269,0.00009939491,0.000016789183,0.79447794],"genre_scores_gemma":[0.90785074,0.003550022,0.00034920673,0.015647994,0.0017637947,0.000032409574,0.000058491714,0.00003215491,0.070715144],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981035,0.0005371262,0.000038220707,0.00021790728,0.00045836234,0.0006449641],"domain_scores_gemma":[0.9974197,0.0011740773,0.00036546076,0.00022551787,0.00040596392,0.00040921778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002096578,0.00031523968,0.00034101162,0.0009533583,0.004478112,0.010111651,0.0008444392,0.0102196075,0.010862314],"category_scores_gemma":[0.007669234,0.00029308742,0.0005068199,0.0011498508,0.009266735,0.005971883,0.002631564,0.009233907,0.0011627061],"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":[0.000017425598,0.000012494876,0.00031224563,0.000007740206,0.0000035333708,0.0001293549,0.00026107093,0.0005708048,0.000046720965,0.98822033,0.008562256,0.0018560281],"study_design_scores_gemma":[0.000037640133,0.00002270275,0.0019984036,0.00017560074,0.000013800811,0.00019219595,0.002380631,0.002025238,0.00016923054,0.71474504,0.27821356,0.000025971583],"about_ca_topic_score_codex":0.0292566,"about_ca_topic_score_gemma":0.023500763,"teacher_disagreement_score":0.0292566,"about_ca_system_score_codex":0.0064143245,"about_ca_system_score_gemma":0.0047735455,"threshold_uncertainty_score":0.058172643},"labels":[],"label_agreement":null},{"id":"W4251027377","doi":"10.1201/b10426-85","title":"Destitution Poverty Modicity Sufficiency Abundance Overabundance","year":2010,"lang":"en","type":"book-chapter","venue":"","topic":"Economic Growth and Productivity","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":"Abundance (ecology); Poverty; Geography; Political science; Biology; Ecology","score_opus":0.030851918143919892,"score_gpt":0.19597997147483584,"score_spread":0.16512805333091596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251027377","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2320527,0.031088227,0.0076421443,0.036622502,0.0015626843,0.000083145365,0.0034295113,0.00029054563,0.68722856],"genre_scores_gemma":[0.7851756,0.007950262,0.0012134917,0.0007931496,0.00031455368,0.00003321679,0.0008780036,0.00009636314,0.2035453],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998572,0.000026364576,0.0000040297114,0.000027937831,0.00005179562,0.000032633245],"domain_scores_gemma":[0.99970716,0.000076233926,0.00008477908,0.00001572357,0.00008137759,0.000034710836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002448411,0.00036147062,0.00022038163,0.0005587555,0.0005640263,0.00080062816,0.00028639636,0.00028323237,0.026822465],"category_scores_gemma":[0.0007484444,0.00010311922,0.00016400302,0.0006669015,0.00062085886,0.00073715486,0.0008470733,0.00064110255,0.0017666809],"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":[0.00023846666,0.00018655001,0.071532436,0.00037147483,0.00013294343,0.0012515022,0.0033312845,0.003698303,0.0042470433,0.21565393,0.30882233,0.39053375],"study_design_scores_gemma":[0.000023501181,0.00012172881,0.21260403,0.00041597695,0.00013715161,0.0011591818,0.003231789,0.0029986938,0.0029704997,0.07670818,0.69959277,0.000036394278],"about_ca_topic_score_codex":0.025180105,"about_ca_topic_score_gemma":0.047095258,"teacher_disagreement_score":0.026822465,"about_ca_system_score_codex":0.0017552844,"about_ca_system_score_gemma":0.00087912276,"threshold_uncertainty_score":0.08973014},"labels":[],"label_agreement":null},{"id":"W4251063057","doi":"10.1002/0471667196.ess6005","title":"Human Capital","year":2004,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Economics; Estimation; Human capital; Variable (mathematics); Value (mathematics); Distribution (mathematics); Sample (material); Econometrics; Latent variable; Capital (architecture); Actuarial science; Statistics; Mathematics; Geography; Economic growth","score_opus":0.02206373192019322,"score_gpt":0.24728565450948978,"score_spread":0.22522192258929655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251063057","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021671848,0.012720179,0.007773324,0.006737974,0.0009953916,0.00017452607,0.021418348,0.00044773743,0.9280607],"genre_scores_gemma":[0.44707397,0.026226157,0.0075719696,0.0018781427,0.001149785,0.000282488,0.021587444,0.00012252694,0.49410754],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99951494,0.00009070532,0.000026350475,0.000088767534,0.0002077983,0.000071409755],"domain_scores_gemma":[0.9991128,0.00023868289,0.00013745202,0.00011314326,0.00025820007,0.00013966026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005434184,0.00035753177,0.0002540566,0.0021809693,0.00043287533,0.0027795872,0.00042747433,0.0004129164,0.07662616],"category_scores_gemma":[0.0033176409,0.000074865646,0.00015609336,0.0029458194,0.0003871547,0.001116847,0.0006835294,0.00065282336,0.01203949],"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":[0.000037770533,0.00006715447,0.011432558,0.00025295635,0.000026848304,0.000106156825,0.00041642538,0.0017222074,0.00021137873,0.300312,0.32710359,0.35831097],"study_design_scores_gemma":[0.00000604295,0.000032996835,0.016294455,0.0003973494,0.000010043352,0.00016206427,0.00037653092,0.0005378737,0.00032432875,0.038636073,0.9432092,0.0000130324615],"about_ca_topic_score_codex":0.0054589147,"about_ca_topic_score_gemma":0.0035382528,"teacher_disagreement_score":0.07662616,"about_ca_system_score_codex":0.0016767707,"about_ca_system_score_gemma":0.0013750028,"threshold_uncertainty_score":0.25634003},"labels":[],"label_agreement":null},{"id":"W4251138575","doi":"10.1108/oxan-es213530","title":"Second quarter GDP suggests Turkey is slowing rapidly","year":2016,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Economics; Geography; Archaeology","score_opus":0.01728135809351727,"score_gpt":0.22351917052023645,"score_spread":0.20623781242671918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251138575","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08300528,0.008063856,0.00079482637,0.18354851,0.024706278,0.00008566787,0.085500486,0.0015221328,0.61277294],"genre_scores_gemma":[0.4611572,0.017420743,0.002023726,0.04577897,0.009797612,0.00016175098,0.07681577,0.0016752159,0.38516903],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993006,0.00006370102,0.00007696234,0.00010295968,0.00028107525,0.00017477758],"domain_scores_gemma":[0.99694026,0.00028488884,0.0006889424,0.0001688226,0.0016285125,0.00028863817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094926276,0.0006336524,0.0003561606,0.0021641396,0.0008543029,0.0039323578,0.00047117862,0.0017871888,0.041535124],"category_scores_gemma":[0.0047305482,0.00022633593,0.00028225276,0.002780642,0.0007111148,0.002036053,0.0011815807,0.0021529263,0.013733534],"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":[0.00015094136,0.000019235626,0.016552215,0.00027405994,0.00001447452,0.00028766415,0.00017659037,0.00022841358,0.00028054172,0.0046167355,0.95033175,0.02706733],"study_design_scores_gemma":[0.000037610742,0.000043910895,0.132988,0.00057964877,0.000027952377,0.00023978663,0.0022059958,0.00039374502,0.00092265644,0.002208778,0.8603112,0.000040617444],"about_ca_topic_score_codex":0.036706753,"about_ca_topic_score_gemma":0.04092276,"teacher_disagreement_score":0.041535124,"about_ca_system_score_codex":0.0020950104,"about_ca_system_score_gemma":0.0021642705,"threshold_uncertainty_score":0.1389488},"labels":[],"label_agreement":null},{"id":"W4252415157","doi":"10.1017/9781108555029","title":"A Reconsideration of the Theory of Non-Linear Scale Effects","year":2018,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Scale (ratio); Scale effects; Economics; Economies of scale; Growth theory; Returns to scale; Technological change; Neoclassical economics; Industrial organization; Economic geography; Macroeconomics; Microeconomics; Production (economics); Geography","score_opus":0.021053364063220177,"score_gpt":0.17759951752802475,"score_spread":0.15654615346480458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252415157","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":[0.007900562,0.04089786,0.30376095,0.12797472,0.009086453,0.00006146243,0.00035415764,0.00038927296,0.5095746],"genre_scores_gemma":[0.5372414,0.06392099,0.112470396,0.036941137,0.024294572,0.00033911216,0.00031976996,0.00091790356,0.22355478],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987691,0.00034602897,0.000051159546,0.00024895265,0.0004977802,0.000086883025],"domain_scores_gemma":[0.99606943,0.0028140596,0.00015016562,0.0004870101,0.00038470858,0.00009453854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031844175,0.0009623028,0.0011261174,0.0011464024,0.0010555489,0.0043172636,0.0023477585,0.0028290611,0.009317946],"category_scores_gemma":[0.005929124,0.0003820148,0.0012524656,0.0013948147,0.0114513105,0.0101139285,0.002426608,0.008963177,0.0026134604],"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":[0.0000017884365,0.0000048873394,0.00004946542,0.000031152198,0.000004347611,0.000016315948,0.00006072821,0.00054750696,0.000038754937,0.9904164,0.0042064358,0.00462232],"study_design_scores_gemma":[0.0000017844075,0.0000046630607,0.0000864158,0.000027511602,0.00000275119,0.000031900567,0.000022462988,0.0012119053,0.000034445562,0.9713008,0.027270608,0.000004735201],"about_ca_topic_score_codex":0.0024531086,"about_ca_topic_score_gemma":0.0017311291,"teacher_disagreement_score":0.009317946,"about_ca_system_score_codex":0.0027097848,"about_ca_system_score_gemma":0.0016319823,"threshold_uncertainty_score":0.03117162},"labels":[],"label_agreement":null},{"id":"W4254024607","doi":"10.1108/oxan-es245536","title":"Second-quarter Mexico growth will not alleviate doubt","year":2019,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Geography; Archaeology","score_opus":0.020581470245852246,"score_gpt":0.20930385615514854,"score_spread":0.1887223859092963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254024607","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026622931,0.003200445,0.00044428205,0.34213954,0.024867522,0.00016064565,0.0055166865,0.0012595264,0.619749],"genre_scores_gemma":[0.008929196,0.00107622,0.00033491733,0.070445806,0.003211803,0.00018096596,0.0013016756,0.00023851881,0.91428083],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998372,0.00010143802,0.00005756638,0.0001942115,0.00070582103,0.0005689048],"domain_scores_gemma":[0.9968554,0.0003989014,0.00029494325,0.00025949956,0.0013611348,0.0008301061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019870033,0.000730715,0.0007093059,0.0009813047,0.0031891768,0.0077805175,0.0014885304,0.014512981,0.11000183],"category_scores_gemma":[0.008799331,0.00043623708,0.0005496431,0.00065618556,0.0010959426,0.0030231779,0.0029248458,0.009119758,0.053993434],"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":[0.000016420567,0.000009391916,0.00011115126,0.000017675276,0.000001034761,0.000037383572,0.00002179342,0.00001598919,0.000055365057,0.004818287,0.9903438,0.0045517134],"study_design_scores_gemma":[0.00002789453,0.000011408493,0.001493638,0.00013399197,0.000003861205,0.000027695434,0.0001147678,0.00007024713,0.00016465741,0.0015682583,0.99637103,0.000012523078],"about_ca_topic_score_codex":0.05785363,"about_ca_topic_score_gemma":0.07899698,"teacher_disagreement_score":0.11000183,"about_ca_system_score_codex":0.0049384143,"about_ca_system_score_gemma":0.010057875,"threshold_uncertainty_score":0.36799282},"labels":[],"label_agreement":null},{"id":"W4255326736","doi":"10.2139/ssrn.3925446","title":"Production Network and GDP Growth: A Decomposition Approach","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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 Waterloo","funders":"","keywords":"Decomposition; Production (economics); Econometrics; Economics; Macroeconomics; Chemistry","score_opus":0.013799603979228053,"score_gpt":0.20110551100617804,"score_spread":0.18730590702695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255326736","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":[0.17421982,0.0019164342,0.7669266,0.002121084,0.00017606543,0.0001457083,0.0040255743,0.00034724516,0.05012147],"genre_scores_gemma":[0.87133867,0.0026950047,0.08557702,0.0001370195,0.00029805527,0.0003223773,0.0025118347,0.000120894365,0.036999162],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959,0.00019655039,0.000014337189,0.00006552682,0.00006424348,0.00006945508],"domain_scores_gemma":[0.99868375,0.0008339321,0.00012954949,0.00009609614,0.00016275293,0.0000939816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000993655,0.00083025,0.00073834835,0.0019088209,0.00030876757,0.0019611742,0.00059788214,0.00066692504,0.012359937],"category_scores_gemma":[0.0022851916,0.00045979128,0.0014277991,0.0025823493,0.0005445264,0.0017070246,0.0010234617,0.0009843947,0.0011119345],"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":[0.0001608476,0.0002111784,0.017245617,0.00017190595,0.00038441873,0.00026100452,0.00021875733,0.35858953,0.0014979889,0.5544705,0.009018622,0.057769593],"study_design_scores_gemma":[0.000024626881,0.000048687623,0.0076454654,0.000053143154,0.00012051705,0.00007625222,0.00019400883,0.764398,0.00031249653,0.22096032,0.006144992,0.000021476466],"about_ca_topic_score_codex":0.009208778,"about_ca_topic_score_gemma":0.006336222,"teacher_disagreement_score":0.012359937,"about_ca_system_score_codex":0.0011168587,"about_ca_system_score_gemma":0.0012986276,"threshold_uncertainty_score":0.04134816},"labels":[],"label_agreement":null},{"id":"W4255397814","doi":"10.4324/9780203927809-13","title":"Human capital externalities and regional development: Evidence for Canada – 2000","year":2008,"lang":"en","type":"book-chapter","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Externality; Human capital; Economics; Business; Economic geography; Public economics; Economic growth; Microeconomics","score_opus":0.10735636401025202,"score_gpt":0.22329830621758096,"score_spread":0.11594194220732894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255397814","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":[0.67574036,0.07759488,0.0011045389,0.015122185,0.00027864703,0.000081212966,0.06277575,0.00022739745,0.16707502],"genre_scores_gemma":[0.90674746,0.038141366,0.0010866693,0.000757684,0.000098014614,0.000022611464,0.016669549,0.000045511664,0.036431108],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937916,0.000020676149,0.000018957926,0.000052211297,0.00036630477,0.0001627003],"domain_scores_gemma":[0.9976591,0.00028488578,0.00042842593,0.00007121914,0.001174573,0.00038184112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005125116,0.00032140253,0.00027177966,0.0036904782,0.0015204613,0.0018387894,0.00082336017,0.00039984632,0.00452907],"category_scores_gemma":[0.0024628525,0.0001937648,0.00046406724,0.011368894,0.00083000114,0.0006666893,0.00083385425,0.0007068655,0.00032749717],"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":[0.00019481544,0.00008239263,0.6157568,0.00084645033,0.00030496402,0.00066973275,0.0050789756,0.0054016737,0.00041172004,0.042226728,0.1645861,0.1644396],"study_design_scores_gemma":[0.000008211605,0.00001195885,0.91293526,0.0002477455,0.000079881196,0.00009902797,0.0028065485,0.0007462623,0.00025450866,0.00086998596,0.08190858,0.000032024946],"about_ca_topic_score_codex":0.9938403,"about_ca_topic_score_gemma":0.99854004,"teacher_disagreement_score":0.036513723,"about_ca_system_score_codex":0.036513723,"about_ca_system_score_gemma":0.044308446,"threshold_uncertainty_score":0.26492685},"labels":[],"label_agreement":null},{"id":"W4280599865","doi":"10.31767/su.4(95)2021.04.09","title":"Assessing the Impact of Education Quality on Economic Growth in OECD and CESEE Countries","year":2022,"lang":"en","type":"article","venue":"Statistics of Ukraine","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Quality (philosophy); International economics; Development economics; Macroeconomics; Physics","score_opus":0.039511462417216536,"score_gpt":0.3305310769135451,"score_spread":0.29101961449632857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280599865","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":[0.97999346,0.001402986,0.00028640678,0.00025521667,0.000020593086,0.000027439084,0.003887009,0.000017480192,0.014109448],"genre_scores_gemma":[0.99515694,0.00085816963,0.00018737973,0.000036793033,0.000012073715,0.000020014275,0.0032022228,0.0000055188843,0.00052093604],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840206,0.0004305454,0.00013007836,0.00010527831,0.00042356047,0.00050846796],"domain_scores_gemma":[0.9952178,0.001102103,0.0015317682,0.0002548367,0.001565874,0.00032761582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027227441,0.00034726484,0.00041352143,0.0038815567,0.0003939363,0.0022674904,0.00023407488,0.00022702366,0.0008409554],"category_scores_gemma":[0.006470693,0.000104853985,0.00089465315,0.006130208,0.00067834946,0.00081388676,0.0019014783,0.0004714118,0.00016193907],"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":[0.00020144937,0.000062989326,0.98118514,0.00008016328,0.00018365945,0.00038387257,0.0003243076,0.0042125247,0.00010627204,0.0017574164,0.0009511658,0.010551051],"study_design_scores_gemma":[0.000004899143,0.000051709383,0.9954365,0.000029712384,0.00004783216,0.000069805705,0.001280273,0.00078172446,0.00021057496,0.00015873718,0.0019208225,0.000007333432],"about_ca_topic_score_codex":0.058372132,"about_ca_topic_score_gemma":0.028374232,"teacher_disagreement_score":0.058372132,"about_ca_system_score_codex":0.0019087818,"about_ca_system_score_gemma":0.0014961597,"threshold_uncertainty_score":0.11606473},"labels":[],"label_agreement":null},{"id":"W4281676673","doi":"10.1111/meca.12399","title":"Information‐theoretic model of induced technical change: Theory and empirics","year":2022,"lang":"en","type":"article","venue":"Metroeconomica","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Inefficiency; Economics; Frontier; Technical change; Function (biology); Econometrics; Productivity; Stochastic game; Degenerate energy levels; Distribution (mathematics); Growth model; Mathematical economics; Growth theory; Microeconomics; Neoclassical economics; Mathematics; Macroeconomics; Physics","score_opus":0.04904049902844084,"score_gpt":0.2299810395969175,"score_spread":0.18094054056847667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281676673","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":[0.14747845,0.0011422071,0.78062767,0.0061293663,0.00011601858,0.00010495148,0.0006260718,0.00020689591,0.06356836],"genre_scores_gemma":[0.97593576,0.0006625832,0.015055443,0.00020486934,0.00010202923,0.00011354169,0.0001295332,0.000025324405,0.0077708736],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981775,0.00089726027,0.00007102845,0.00024623246,0.00038473826,0.00022327247],"domain_scores_gemma":[0.98779905,0.009270339,0.001332948,0.0006895043,0.0006362792,0.0002718939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033133626,0.00056518597,0.001225379,0.0014091241,0.0006457859,0.0028429113,0.0022386005,0.0027259742,0.0060794177],"category_scores_gemma":[0.012402524,0.00053183624,0.0010895417,0.0014441608,0.0036809864,0.003974038,0.0015283368,0.002335226,0.00062280276],"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":[0.000025837086,0.000036164547,0.00045688928,0.000048375332,0.000028199489,0.000114575465,0.000088544824,0.27475637,0.00026738568,0.7195975,0.0007523361,0.0038276932],"study_design_scores_gemma":[0.000021378575,0.000021747319,0.0002578806,0.000015917052,0.0000092513765,0.000051104034,0.000029659761,0.4496146,0.0000959039,0.54904443,0.0008207039,0.000017371178],"about_ca_topic_score_codex":0.002791994,"about_ca_topic_score_gemma":0.0012567214,"teacher_disagreement_score":0.0060794177,"about_ca_system_score_codex":0.0025731483,"about_ca_system_score_gemma":0.0010751222,"threshold_uncertainty_score":0.020337641},"labels":[],"label_agreement":null},{"id":"W4283218167","doi":"10.1017/9781009227490","title":"Industrial Policy","year":2022,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Skepticism; Suspect; Private sector; Public sector; Simple (philosophy); Element (criminal law); Industrial policy; Public policy; Business; Economics; Public economics; Law and economics; Economic system; Industrial organization; Political science; Market economy; Economy; Economic growth; Law","score_opus":0.05300063758726195,"score_gpt":0.18826616798827153,"score_spread":0.13526553040100958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283218167","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018165707,0.011667428,0.0004164925,0.0064495346,0.0013793362,0.00002975862,0.0002941777,0.00012689148,0.97945464],"genre_scores_gemma":[0.004808984,0.00523871,0.00037999716,0.0032112263,0.00048697816,0.00006609169,0.00031277366,0.000073122304,0.98542213],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99946076,0.00007385756,0.000020307905,0.00014093389,0.0002349688,0.00006920268],"domain_scores_gemma":[0.99958485,0.00011313013,0.000026621788,0.00008769332,0.00013550717,0.00005225572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006720703,0.0008255167,0.00048550812,0.00091416674,0.0012795695,0.005757505,0.00066345325,0.0041482723,0.17472742],"category_scores_gemma":[0.0021211365,0.00038483102,0.00031502367,0.0016722971,0.0014401706,0.0026666527,0.0013846615,0.0033554954,0.12246552],"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":[0.00001668301,0.000020291556,0.00011370842,0.00011521918,0.0000032742228,0.000039452636,0.000083521074,0.00015219234,0.00016358777,0.19861734,0.72133565,0.079339154],"study_design_scores_gemma":[0.000003588321,0.000004099218,0.00020320744,0.0001303995,0.0000011513357,0.000027024362,0.00003270703,0.000032711894,0.000037984446,0.012727086,0.986798,0.0000021324672],"about_ca_topic_score_codex":0.0042169574,"about_ca_topic_score_gemma":0.006440659,"teacher_disagreement_score":0.17472742,"about_ca_system_score_codex":0.0027806961,"about_ca_system_score_gemma":0.0022628694,"threshold_uncertainty_score":0.5845215},"labels":[],"label_agreement":null},{"id":"W4285217965","doi":"10.1007/978-981-10-3455-8_21","title":"Duality in Production","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Economic Growth and Productivity","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 British Columbia","funders":"","keywords":"Duality (order theory); Production theory; Mathematical economics; Production (economics); Elasticity of substitution; Economics; Quadratic equation; Mathematics; Substitution (logic); Constant elasticity of substitution; Microeconomics; Computer science; Pure mathematics","score_opus":0.0577685563606419,"score_gpt":0.20735945029444675,"score_spread":0.14959089393380484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285217965","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":[0.0018497135,0.0072137876,0.03107059,0.0025687942,0.0007448643,0.000018819552,0.00008873579,0.00007241044,0.9563724],"genre_scores_gemma":[0.2292931,0.01021104,0.016388593,0.0017049095,0.0026387137,0.00019039193,0.00024648558,0.00026536785,0.7390614],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995289,0.00019491649,0.000012181106,0.00008589647,0.00012816087,0.000049929247],"domain_scores_gemma":[0.99972564,0.00013008324,0.00001780816,0.000067974805,0.000036655427,0.000021832897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050830864,0.0007628189,0.0006023217,0.0008456994,0.0009407287,0.003446941,0.0005800458,0.0011212069,0.017369999],"category_scores_gemma":[0.0012332939,0.00033841,0.00037087084,0.0009675854,0.004352159,0.0037826714,0.0015735435,0.002692152,0.005943931],"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":[0.0000034585605,0.0000058336973,0.0000122363945,0.000011075385,9.42111e-7,0.000009581192,0.000062470725,0.00013451546,0.00005477663,0.9874117,0.00618698,0.00610649],"study_design_scores_gemma":[0.000002509297,0.0000067055316,0.00006018535,0.000019883773,0.0000012142606,0.000051937222,0.000039128336,0.00038158376,0.0001106789,0.89497876,0.10434517,0.0000022137901],"about_ca_topic_score_codex":0.0008532579,"about_ca_topic_score_gemma":0.0007228643,"teacher_disagreement_score":0.017369999,"about_ca_system_score_codex":0.0022302351,"about_ca_system_score_gemma":0.00095826166,"threshold_uncertainty_score":0.05810839},"labels":[],"label_agreement":null},{"id":"W4285306462","doi":"10.2139/ssrn.4122805","title":"A Penny for Your Thoughts","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Global Affairs Canada","funders":"","keywords":"Penny; Psychology; History; Archaeology","score_opus":0.027372669682590684,"score_gpt":0.22312231948459785,"score_spread":0.19574964980200715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285306462","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00023723267,0.0069739334,0.0007574213,0.5496342,0.39949796,0.000025918793,0.00028515077,0.00031716735,0.042270917],"genre_scores_gemma":[0.0042586382,0.0043538557,0.0011244209,0.36204574,0.13419312,0.000078700665,0.00028428785,0.0006818384,0.49297938],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9951492,0.00090794585,0.00026271646,0.00052914576,0.0025974007,0.00055354874],"domain_scores_gemma":[0.9710835,0.004985112,0.0014384224,0.001975063,0.0137657095,0.0067520393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046257093,0.0019050908,0.0018794584,0.002862413,0.006365799,0.019172845,0.0016408429,0.0107812155,0.17440611],"category_scores_gemma":[0.059336495,0.0005516288,0.0017430475,0.0017476619,0.0043747555,0.012217042,0.006087009,0.023551617,0.21745914],"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":[0.000010238392,0.000008937718,0.000052997402,0.000017341592,0.0000044378407,0.000055577675,0.000040632345,0.000009154313,0.000018918587,0.003036563,0.99204636,0.004698844],"study_design_scores_gemma":[0.000017622655,0.000016888394,0.00014382706,0.00017514714,0.000009478691,0.00015593828,0.0005852024,0.00004648432,0.000042346255,0.012748827,0.98603386,0.000024281793],"about_ca_topic_score_codex":0.0020143,"about_ca_topic_score_gemma":0.0037057067,"teacher_disagreement_score":0.17440611,"about_ca_system_score_codex":0.0021352374,"about_ca_system_score_gemma":0.0039555538,"threshold_uncertainty_score":0.58344656},"labels":[],"label_agreement":null},{"id":"W4285465235","doi":"10.32920/ryerson.14638629","title":"Outsourcing versus technology transfer: Hotelling meets Stackelberg","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Stackelberg competition; Outsourcing; Duopoly; Pareto principle; Order (exchange); Industrial organization; Business; Microeconomics; Technology transfer; Transfer (computing); Economics; Cournot competition; Marketing; Operations management; Finance; International trade; Computer science","score_opus":0.05580111275643559,"score_gpt":0.22653858119130213,"score_spread":0.17073746843486654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285465235","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":[0.66228235,0.002266737,0.13800012,0.003307026,0.00011097393,0.000118937234,0.00013938046,0.000075577605,0.19369891],"genre_scores_gemma":[0.98922485,0.0005128339,0.0045965025,0.00010346224,0.000034204822,0.000021396034,0.000017522741,0.000007834188,0.005481362],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990212,0.00039389654,0.00003302777,0.000106349486,0.00014665666,0.0002989294],"domain_scores_gemma":[0.99854577,0.00070621993,0.00027644105,0.0001239188,0.00008548958,0.0002622523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016940903,0.00051100727,0.00074349734,0.0003888167,0.0013083029,0.002457889,0.00063900475,0.0014420466,0.009667952],"category_scores_gemma":[0.003111754,0.0002295529,0.00090390275,0.0005716338,0.0025050568,0.003436544,0.0016927384,0.0010784875,0.00039375664],"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":[0.0003420681,0.00008317421,0.0017954557,0.00023021734,0.000048436916,0.00049536146,0.00034042724,0.04148662,0.0021996263,0.92903197,0.0012740195,0.022672577],"study_design_scores_gemma":[0.00015425669,0.00041151044,0.0023105352,0.00009822437,0.000074066185,0.00040105937,0.00113972,0.15151523,0.0019095149,0.8359602,0.0059627797,0.00006281656],"about_ca_topic_score_codex":0.0051290425,"about_ca_topic_score_gemma":0.0033816453,"teacher_disagreement_score":0.009667952,"about_ca_system_score_codex":0.0017469623,"about_ca_system_score_gemma":0.001486703,"threshold_uncertainty_score":0.032342553},"labels":[],"label_agreement":null},{"id":"W4286542708","doi":"10.2139/ssrn.4167741","title":"Spatial Spillovers and Labor Productivity Convergence in Canada","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Productivity; Convergence (economics); Economic geography; Economics; Labour economics; Geography; Economic growth","score_opus":0.007497200432257733,"score_gpt":0.16685219623531616,"score_spread":0.15935499580305842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286542708","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":[0.9866861,0.0015353502,0.00030251616,0.0019240681,0.000022945062,0.000015381627,0.0014706737,0.00002396426,0.008019062],"genre_scores_gemma":[0.9963098,0.0005173671,0.00012359841,0.00005170275,0.000007779802,0.0000035392138,0.00029919902,0.0000053125636,0.0026815888],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992737,0.00006127925,0.000035569356,0.00012069333,0.00014260956,0.00036607304],"domain_scores_gemma":[0.99630594,0.00062621123,0.00046947418,0.00013526659,0.001786295,0.00067680277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010668366,0.0002206537,0.0005941403,0.002449284,0.0033158911,0.002905526,0.0008337926,0.00066971546,0.007685153],"category_scores_gemma":[0.0049415524,0.0002278766,0.0005842641,0.0058938847,0.0014071909,0.000925421,0.0018998021,0.00080668996,0.00030687117],"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":[0.00093134143,0.00015577092,0.87923926,0.0001718232,0.00026680555,0.00086347683,0.0052092997,0.016248329,0.0007098237,0.03139904,0.0107565345,0.054048587],"study_design_scores_gemma":[0.000060009465,0.000041777617,0.9674686,0.00011233238,0.00011181529,0.000089727,0.010523426,0.008593304,0.00026335186,0.003214573,0.0094691105,0.000051971718],"about_ca_topic_score_codex":0.99618524,"about_ca_topic_score_gemma":0.9973712,"teacher_disagreement_score":0.04676384,"about_ca_system_score_codex":0.04676384,"about_ca_system_score_gemma":0.054335397,"threshold_uncertainty_score":0.339297},"labels":[],"label_agreement":null},{"id":"W4289822949","doi":"10.2139/ssrn.4171956","title":"Regional Clusters and Product Market Outcomes: Evidence from the Great Recession","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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 British Columbia","funders":"","keywords":"Great recession; Recession; Product (mathematics); Business; Economics; Keynesian economics","score_opus":0.03327546264110518,"score_gpt":0.22826691187110884,"score_spread":0.19499144923000367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289822949","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":[0.9959709,0.00087288953,0.000043037548,0.00063880504,0.000007337999,0.000004492847,0.000682102,0.000004934432,0.0017753058],"genre_scores_gemma":[0.9977533,0.0008018545,0.000016254478,0.00006765011,0.000020592805,0.0000025926508,0.00087978924,0.000004109831,0.00045392828],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969316,0.000082946084,0.000018645926,0.00005471214,0.00004507228,0.00010561883],"domain_scores_gemma":[0.9944614,0.0008399911,0.003186333,0.0002609436,0.00046413293,0.0007872378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010581218,0.00019021136,0.00034396947,0.00082213915,0.0003774581,0.0010747843,0.00037377636,0.0005627434,0.0033781677],"category_scores_gemma":[0.004693712,0.00015910021,0.0003435264,0.0024011894,0.0008421331,0.0008815579,0.0013686996,0.0007993543,0.00049460324],"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":[0.0013976994,0.0001639255,0.9801743,0.00007681678,0.00023001705,0.00018566797,0.0011576543,0.0009806403,0.0003295659,0.0011601434,0.0038322287,0.010311283],"study_design_scores_gemma":[0.000019365663,0.000053705447,0.99763954,0.000014135561,0.000042736163,0.000023742587,0.0010200343,0.00017729671,0.00004469879,0.00014239506,0.00081813167,0.00000425451],"about_ca_topic_score_codex":0.056946367,"about_ca_topic_score_gemma":0.07661307,"teacher_disagreement_score":0.056946367,"about_ca_system_score_codex":0.00059984304,"about_ca_system_score_gemma":0.00051969406,"threshold_uncertainty_score":0.11322981},"labels":[],"label_agreement":null},{"id":"W4291512486","doi":"10.1080/02255189.2022.2102464","title":"Macro barriers to business and innovation in developing economies: evidence from Egyptian, Moroccan, and Tunisian SMEs","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Development Studies/Revue canadienne d études du développement","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Macro; Business; Macro level; Product (mathematics); Product innovation; Developing country; Economic geography; Industrial organization; Economics; Economic system; Economic growth","score_opus":0.07723881033333807,"score_gpt":0.2322734336534915,"score_spread":0.15503462332015344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291512486","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":[0.99848264,0.0003776742,0.000015224886,0.00013342276,0.0000012658332,0.0000028813763,0.000063206775,4.0257936e-7,0.00092325243],"genre_scores_gemma":[0.9994659,0.00031627476,0.000014814476,0.00002553726,0.0000019612996,0.00000296172,0.000050602226,3.295105e-7,0.000121797755],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999603,0.00008638606,0.000032272605,0.000043404594,0.00006443711,0.00017047509],"domain_scores_gemma":[0.9964837,0.0012770831,0.0012725658,0.0000993142,0.00046389535,0.00040349425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010840204,0.00019135702,0.0002323288,0.0011545611,0.00075479393,0.0013520535,0.00026618512,0.00039339534,0.001376406],"category_scores_gemma":[0.0027869695,0.00011564917,0.00025454463,0.001707974,0.000762206,0.00074171193,0.0011211188,0.00040933443,0.0001421594],"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":[0.000111830515,0.00010077064,0.9820809,0.00012727651,0.00005764145,0.000629056,0.006385937,0.00020203095,0.00035183178,0.001004751,0.00024952154,0.008698389],"study_design_scores_gemma":[0.0000055638325,0.000036490295,0.9853491,0.00010567904,0.00003561571,0.000108452805,0.012562791,0.00014830995,0.00017713376,0.00010729647,0.001356718,0.0000068990494],"about_ca_topic_score_codex":0.05312339,"about_ca_topic_score_gemma":0.07197084,"teacher_disagreement_score":0.05312339,"about_ca_system_score_codex":0.0009704774,"about_ca_system_score_gemma":0.0012256685,"threshold_uncertainty_score":0.10562837},"labels":[],"label_agreement":null},{"id":"W4292295092","doi":"10.1111/roiw.12610","title":"Has Canada's 21st‐Century Grand Gender Convergence Stalled? Male and Female Income and Human Resource Stock Distributions Viewed Through an Equal Opportunity Lens","year":2022,"lang":"en","type":"article","venue":"Review of Income and Wealth","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Convergence (economics); Economics; Stock (firearms); Context (archaeology); Income distribution; Human resources; Economic growth; Inequality; Geography","score_opus":0.08106200160709831,"score_gpt":0.27268418532638394,"score_spread":0.19162218371928563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292295092","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":[0.58571166,0.052561987,0.003037994,0.09614679,0.0005880824,0.000054960936,0.0037878805,0.00006593432,0.25804463],"genre_scores_gemma":[0.97862303,0.009442101,0.0006129713,0.0022925213,0.000067670895,0.000008697525,0.00028444684,0.000014568392,0.008653886],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987079,0.00011753016,0.00002173573,0.00010732139,0.0005935785,0.00045191747],"domain_scores_gemma":[0.99645483,0.0004220532,0.00022830226,0.00009306634,0.0021589955,0.00064285373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020287673,0.00014956719,0.00040006,0.0024387909,0.005294557,0.0048352093,0.001033023,0.0006417239,0.007855606],"category_scores_gemma":[0.004726891,0.00012238564,0.00023102245,0.005438705,0.0037262498,0.0016364042,0.0015597221,0.0014736622,0.00024443478],"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":[0.00021301078,0.000050442974,0.14251287,0.00041503014,0.00007851773,0.00060816633,0.020531714,0.0010947213,0.00047043097,0.576366,0.065918036,0.19174115],"study_design_scores_gemma":[0.000024319044,0.00006702931,0.5816637,0.0014045192,0.000078333826,0.00031716062,0.05193922,0.0026445321,0.0007085904,0.053689297,0.30733028,0.00013297967],"about_ca_topic_score_codex":0.98869485,"about_ca_topic_score_gemma":0.9938923,"teacher_disagreement_score":0.05124084,"about_ca_system_score_codex":0.05124084,"about_ca_system_score_gemma":0.06562986,"threshold_uncertainty_score":0.37178004},"labels":[],"label_agreement":null},{"id":"W4294225726","doi":"10.18280/ijsdp.170508","title":"Disparity in Total Resources Growth and Its Impact on the Profitability: An Analytical Approach","year":2022,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Natural resource economics; Environmental economics; Economics; Econometrics; Environmental science; Environmental resource management; Finance","score_opus":0.032620655838741686,"score_gpt":0.25547030905530926,"score_spread":0.22284965321656758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294225726","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":[0.94917345,0.001307885,0.017390342,0.0013769635,0.00003661211,0.0001776373,0.0009508262,0.00007729097,0.029508948],"genre_scores_gemma":[0.9959092,0.00047734138,0.002078609,0.000043473494,0.000024571285,0.000062277475,0.00015455244,0.0000061147603,0.0012438498],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992035,0.00033653268,0.00003854043,0.000093529765,0.00018335794,0.00014456804],"domain_scores_gemma":[0.9959925,0.0029180022,0.00057636114,0.00007960206,0.0002761634,0.00015750165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012945659,0.0003875487,0.00035708363,0.0035503018,0.0003795732,0.0022616251,0.00053945597,0.00051140046,0.0037486798],"category_scores_gemma":[0.003347158,0.00021391446,0.0011144489,0.0027624196,0.0007772097,0.00088139286,0.0014431477,0.0009889676,0.00028430996],"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":[0.0002043034,0.0006671986,0.75855863,0.00045302446,0.00067401957,0.0023419769,0.002909021,0.05677426,0.0026570251,0.11260718,0.0029224127,0.05923092],"study_design_scores_gemma":[0.000019529334,0.0008463528,0.65120953,0.00027344582,0.0004986184,0.0009797871,0.010104243,0.2868994,0.0017261726,0.03476305,0.012585215,0.000094714625],"about_ca_topic_score_codex":0.006172182,"about_ca_topic_score_gemma":0.0035435339,"teacher_disagreement_score":0.006172182,"about_ca_system_score_codex":0.0014197613,"about_ca_system_score_gemma":0.001509152,"threshold_uncertainty_score":0.012540579},"labels":[],"label_agreement":null},{"id":"W4298197205","doi":"10.2139/ssrn.2251936","title":"Innovation, Reallocation and Growth","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council; York University; University of Pennsylvania; National Science Foundation; Yale University; Harvard Business School; Ewing Marion Kauffman Foundation","keywords":"Business; Industrial organization; Economics","score_opus":0.01268236795390336,"score_gpt":0.1908744240515157,"score_spread":0.17819205609761232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298197205","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":[0.6237857,0.05849036,0.02391409,0.033660192,0.0007883331,0.000054323347,0.001076666,0.00027504447,0.25795534],"genre_scores_gemma":[0.9679511,0.0087396735,0.0007491478,0.00028696703,0.00039430358,0.00001709979,0.00011952131,0.000017754333,0.021724444],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99965096,0.00012368467,0.000022051583,0.0000769449,0.000058832156,0.000067518464],"domain_scores_gemma":[0.9945992,0.003578643,0.0010899574,0.00018563136,0.00021828334,0.00032819938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011979641,0.00031345114,0.0004902584,0.001062933,0.00035925015,0.0038566568,0.00029466004,0.0019474743,0.023277918],"category_scores_gemma":[0.0066198255,0.00013792713,0.0003386114,0.0020784214,0.0016994592,0.0038192277,0.0010881962,0.0010134088,0.002020747],"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":[0.0006661759,0.00045559285,0.046887897,0.0008055059,0.00018121972,0.00085092813,0.0009918611,0.029617032,0.0012400801,0.751073,0.016784381,0.1504463],"study_design_scores_gemma":[0.00007759014,0.00013021394,0.029310588,0.00014129469,0.000079801735,0.00032777002,0.0011500209,0.008599851,0.0004176912,0.94053656,0.019191861,0.000036781526],"about_ca_topic_score_codex":0.0018743754,"about_ca_topic_score_gemma":0.0019290597,"teacher_disagreement_score":0.023277918,"about_ca_system_score_codex":0.0012526559,"about_ca_system_score_gemma":0.00085314736,"threshold_uncertainty_score":0.077872336},"labels":[],"label_agreement":null},{"id":"W4299572708","doi":"10.2139/ssrn.2143790","title":"Financing Constraints, Firm Dynamics, and International Trade","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"Carleton University","funders":"","keywords":"Business; Trade finance; Dynamics (music); International trade; International economics; Economics; Finance; Financial system; Macroeconomics; Public finance","score_opus":0.0148144192194851,"score_gpt":0.20791270185198266,"score_spread":0.19309828263249756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299572708","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":[0.95501554,0.005102731,0.0031500154,0.0063161626,0.000050063543,0.00002374518,0.0012950551,0.000042009433,0.029004695],"genre_scores_gemma":[0.99529266,0.000944622,0.00017381548,0.00013765156,0.00007007012,0.000011158653,0.0003731441,0.000010161988,0.0029867133],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996592,0.000077970915,0.000032366734,0.000057926325,0.000039439947,0.00013308242],"domain_scores_gemma":[0.979508,0.011985797,0.006089006,0.0005248228,0.00040705773,0.0014853225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017781553,0.00021703933,0.00056447263,0.0012894553,0.00078094366,0.005832753,0.00063374604,0.0020137834,0.018731056],"category_scores_gemma":[0.01563489,0.00028663917,0.00040217914,0.0022831692,0.0012981613,0.0036572567,0.00089051307,0.001747339,0.0008217698],"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":[0.0008738526,0.00042988357,0.633953,0.0002414528,0.00017747951,0.002177028,0.0008671867,0.051575065,0.0010808221,0.23183572,0.015654717,0.0611338],"study_design_scores_gemma":[0.0002875386,0.00023790935,0.421285,0.00047548368,0.00025938157,0.0014591209,0.0026806134,0.08210244,0.0012799454,0.46333817,0.026476858,0.000117620446],"about_ca_topic_score_codex":0.008768981,"about_ca_topic_score_gemma":0.010240185,"teacher_disagreement_score":0.018731056,"about_ca_system_score_codex":0.0019144763,"about_ca_system_score_gemma":0.0010687099,"threshold_uncertainty_score":0.06266165},"labels":[],"label_agreement":null},{"id":"W4301181951","doi":"","title":"Chapter 9 : Appropriation strategies and endogenous technological regime : Towards a dynamic theory of the role of patents","year":2013,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Appropriation; Economics; Neoclassical economics; Epistemology; Philosophy","score_opus":0.024941206446787264,"score_gpt":0.18537435879183933,"score_spread":0.16043315234505207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301181951","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":[0.051865462,0.08176471,0.35254073,0.072278805,0.0019343148,0.00017834934,0.0010944816,0.00018478732,0.4381584],"genre_scores_gemma":[0.63069123,0.10171416,0.09163069,0.005283382,0.004965235,0.00038567313,0.0007331217,0.0003005416,0.16429609],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995627,0.00015938787,0.000018572986,0.00010438078,0.00009140888,0.00006350322],"domain_scores_gemma":[0.9990976,0.000586681,0.00007735379,0.00008989676,0.000114121176,0.000034486944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006731854,0.0005378897,0.00049492344,0.00087638246,0.0006084725,0.0030528668,0.0011379952,0.0025753607,0.019747177],"category_scores_gemma":[0.0013589128,0.00032674527,0.00094382296,0.0013791852,0.0017467495,0.003983471,0.0010683256,0.0027037556,0.003166727],"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":[0.000008558769,0.00005604288,0.0005055472,0.00010902621,0.000019634346,0.00007905348,0.00016659903,0.003770469,0.00046985212,0.97317344,0.011597857,0.01004396],"study_design_scores_gemma":[0.0000072212215,0.000024651408,0.0010529691,0.00029084002,0.000019271067,0.00012730165,0.00018749056,0.010229659,0.0005626383,0.8917144,0.09576403,0.000019387608],"about_ca_topic_score_codex":0.0018877768,"about_ca_topic_score_gemma":0.0016392376,"teacher_disagreement_score":0.019747177,"about_ca_system_score_codex":0.0020022772,"about_ca_system_score_gemma":0.0010703773,"threshold_uncertainty_score":0.06606084},"labels":[],"label_agreement":null},{"id":"W4302330133","doi":"","title":"Foreign Scientists and Engineers and Economic Growth in Canadian Labor Markets","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Rheinische Friedrich-Wilhelms-Universität Bonn","keywords":"Economics; Labour economics; Business","score_opus":0.020630554697302666,"score_gpt":0.24222466340519336,"score_spread":0.2215941087078907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302330133","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":[0.9568386,0.00451634,0.00041270093,0.0039518178,0.000056875837,0.000021214655,0.0019406927,0.00002860063,0.03223313],"genre_scores_gemma":[0.9902368,0.0018592417,0.00016072758,0.00017901532,0.000020720294,0.0000056642243,0.00082950364,0.000008989844,0.0066991616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926966,0.00004076747,0.000015561667,0.00006024122,0.00025250737,0.00036122111],"domain_scores_gemma":[0.99837226,0.00030738476,0.00032852418,0.000036926063,0.0004101523,0.00054484396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008883854,0.00042780614,0.00043808273,0.0023626955,0.0024622374,0.0024883728,0.00055876106,0.00055840437,0.005962804],"category_scores_gemma":[0.0031477292,0.00013913182,0.00057999993,0.003484843,0.0011591552,0.00083820906,0.0012520405,0.0007418632,0.00034235138],"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":[0.00036244627,0.00014716406,0.87510985,0.00015800088,0.0001396357,0.0006148475,0.004738079,0.011266321,0.0008125153,0.03560357,0.012749297,0.05829834],"study_design_scores_gemma":[0.00003583873,0.0000307666,0.9654714,0.00009613074,0.000048741316,0.00008207964,0.006595383,0.0044177016,0.00029437893,0.0030271648,0.019847404,0.000053070416],"about_ca_topic_score_codex":0.98629135,"about_ca_topic_score_gemma":0.99017817,"teacher_disagreement_score":0.024944423,"about_ca_system_score_codex":0.024944423,"about_ca_system_score_gemma":0.02826401,"threshold_uncertainty_score":0.18098533},"labels":[],"label_agreement":null},{"id":"W4310163560","doi":"10.33423/jabe.v24i5.5617","title":"Impact of Specialization on Recruiter Productivity in the Staffing Industry","year":2022,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Staffing; Productivity; Competition (biology); Business; Industrial organization; Marketing; Resource (disambiguation); Economics; Management; Computer science; Economic growth","score_opus":0.042076493679765785,"score_gpt":0.23159515520550167,"score_spread":0.18951866152573588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310163560","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":[0.99702877,0.00014276245,0.00027651584,0.0002349131,0.000008122372,0.0000055774376,0.0001102944,0.000007358526,0.0021858523],"genre_scores_gemma":[0.9986619,0.000049034934,0.00007727229,0.000050721952,0.000012338007,0.0000038488747,0.00011521271,0.0000023571538,0.0010272582],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99661875,0.0014923431,0.000120748045,0.00028743607,0.0005369657,0.00094368437],"domain_scores_gemma":[0.9581718,0.022843223,0.00830337,0.0023245697,0.0021709814,0.0061860555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006539587,0.00027179313,0.00034956806,0.00075492705,0.0005766244,0.0012563984,0.00041366613,0.0006291725,0.005716541],"category_scores_gemma":[0.020536352,0.00013095161,0.00046978254,0.000714749,0.00062612013,0.0007460165,0.0013480117,0.0009861995,0.001102776],"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":[0.00025158265,0.00032773163,0.9758936,0.000024031187,0.00006882369,0.00017989801,0.0005790025,0.003406451,0.00057986396,0.00037812314,0.0007507706,0.017560037],"study_design_scores_gemma":[0.000007803448,0.0003367029,0.9958579,0.000020708016,0.000018564933,0.00005155785,0.0009095374,0.0018578679,0.00021770292,0.0001764551,0.0005379973,0.000007232534],"about_ca_topic_score_codex":0.007824894,"about_ca_topic_score_gemma":0.0110772615,"teacher_disagreement_score":0.007824894,"about_ca_system_score_codex":0.0013953913,"about_ca_system_score_gemma":0.0012674575,"threshold_uncertainty_score":0.03458506},"labels":[],"label_agreement":null},{"id":"W4310663919","doi":"10.5430/ijba.v13n6p79","title":"Convergence Clubs in the Brazilian Beef Market","year":2022,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Club; Economics; Agribusiness; Work (physics); Econometrics; Relevance (law); Gross domestic product; Product (mathematics); Convergence clubs; Macroeconomics; Mathematics; Geography; Agriculture; Political science","score_opus":0.026465724370715062,"score_gpt":0.24224211685604796,"score_spread":0.2157763924853329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310663919","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":[0.98720646,0.00024676544,0.00040292015,0.00026761342,0.0000063679004,0.000023846369,0.0001377858,0.000013291098,0.011695018],"genre_scores_gemma":[0.999395,0.00006209101,0.00012762503,0.000009273639,0.000004140954,0.0000042168767,0.00008011057,0.0000024356766,0.0003150239],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892175,0.00035518006,0.00006503963,0.00013831879,0.00023942598,0.00028028034],"domain_scores_gemma":[0.995626,0.0015629081,0.0011301469,0.00026867748,0.0007990901,0.0006130922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002699032,0.000120046694,0.00044482134,0.0028766994,0.0012377482,0.0021142995,0.00038188885,0.0004433539,0.0049972506],"category_scores_gemma":[0.011577673,0.0001500583,0.00041309473,0.0015379076,0.0010984982,0.001515152,0.00165355,0.00045982984,0.00022647432],"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":[0.0010732608,0.00073273585,0.71086836,0.00024038983,0.00015448022,0.003498774,0.024819963,0.006808214,0.0034503366,0.15237418,0.005858048,0.090121195],"study_design_scores_gemma":[0.000077521916,0.00024573362,0.8844126,0.00022404193,0.00006711746,0.0007597898,0.028034037,0.042055316,0.00072158925,0.030573092,0.012762221,0.0000670327],"about_ca_topic_score_codex":0.025838563,"about_ca_topic_score_gemma":0.022477722,"teacher_disagreement_score":0.025838563,"about_ca_system_score_codex":0.0014779036,"about_ca_system_score_gemma":0.00088697847,"threshold_uncertainty_score":0.051376343},"labels":[],"label_agreement":null},{"id":"W4311119687","doi":"10.1108/oxan-es274437","title":"Brazil growth will slow from third-quarter results","year":2022,"lang":"en","type":"article","venue":"Emerald expert briefings","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Geography; Archaeology","score_opus":0.01849863725159384,"score_gpt":0.2088873851840423,"score_spread":0.19038874793244845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311119687","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03057001,0.010322447,0.0016642576,0.78639215,0.01253081,0.00009056367,0.017337723,0.001662784,0.13942927],"genre_scores_gemma":[0.59348655,0.015510236,0.0034561714,0.22156695,0.0052443594,0.0003225024,0.015767762,0.00190354,0.14274193],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.996738,0.0003400967,0.00024753416,0.00020809093,0.0013237374,0.0011424555],"domain_scores_gemma":[0.98455,0.0019629723,0.0021798774,0.00080570864,0.008078329,0.0024231996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063038417,0.00068352965,0.0006549509,0.0011733348,0.0014254508,0.0070337453,0.0008911229,0.0036589704,0.011264172],"category_scores_gemma":[0.024776895,0.00031303606,0.000913163,0.0012052038,0.000851751,0.0030716876,0.0018279612,0.0047815014,0.005694721],"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":[0.00017203759,0.00003548673,0.007843633,0.00023885556,0.000052876632,0.00022625345,0.00037795803,0.00039685532,0.00075030286,0.034862965,0.9198013,0.035241503],"study_design_scores_gemma":[0.00011923815,0.00012907703,0.04706574,0.0012645486,0.00010472733,0.000283723,0.0014770717,0.0014784634,0.0037721104,0.019549424,0.92466354,0.000092322],"about_ca_topic_score_codex":0.075657174,"about_ca_topic_score_gemma":0.0609016,"teacher_disagreement_score":0.075657174,"about_ca_system_score_codex":0.007923449,"about_ca_system_score_gemma":0.013230994,"threshold_uncertainty_score":0.15043366},"labels":[],"label_agreement":null},{"id":"W4312871787","doi":"10.2139/ssrn.4264886","title":"Intangible capital, non-rivalry, and growth","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Rivalry; Business; Capital (architecture); Economics; Monetary economics; Macroeconomics; Geography","score_opus":0.010396102266413033,"score_gpt":0.18618166437686842,"score_spread":0.1757855621104554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312871787","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":[0.82693815,0.024961056,0.0067928163,0.010248956,0.00022006426,0.000037298047,0.0006805613,0.00007047757,0.13005067],"genre_scores_gemma":[0.98676413,0.00407583,0.0002933586,0.00011368549,0.00012938028,0.0000075420326,0.00012837368,0.0000074548766,0.008480319],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99965334,0.00014097423,0.000019061401,0.00005291108,0.000053640724,0.00008013441],"domain_scores_gemma":[0.98968303,0.0063784695,0.0021690454,0.00036199816,0.00044894894,0.0009584704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011227209,0.0004150965,0.0005232682,0.0008456857,0.000663292,0.0045571732,0.00043292565,0.001274174,0.01596793],"category_scores_gemma":[0.008185037,0.0001465665,0.00029363504,0.001953126,0.001993002,0.0036326146,0.0010541932,0.0013495152,0.0010092349],"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":[0.0008607082,0.001181404,0.20997944,0.0006496185,0.00020300483,0.0018801496,0.0014913885,0.028890569,0.0009808816,0.6275563,0.016805122,0.10952142],"study_design_scores_gemma":[0.000049899998,0.00023908343,0.107090585,0.00021406787,0.00008193576,0.000598798,0.0025949685,0.017917698,0.00037745482,0.85563695,0.015148897,0.000049596263],"about_ca_topic_score_codex":0.006988845,"about_ca_topic_score_gemma":0.008876778,"teacher_disagreement_score":0.01596793,"about_ca_system_score_codex":0.0015055921,"about_ca_system_score_gemma":0.00094375544,"threshold_uncertainty_score":0.05341804},"labels":[],"label_agreement":null},{"id":"W4312888833","doi":"10.5486/pmd.2006.3171","title":"Counting the number of economical numbers","year":2006,"lang":"en","type":"article","venue":"Publicationes Mathematicae Debrecen","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología","keywords":"Mathematics; Statistics; Arithmetic","score_opus":0.021948233700332814,"score_gpt":0.2194445394948977,"score_spread":0.1974963057945649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312888833","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":[0.57901585,0.0030609213,0.3136371,0.002127611,0.00046094906,0.0001525064,0.0013313787,0.00048259206,0.09973107],"genre_scores_gemma":[0.9120479,0.0019039996,0.06709856,0.00022898547,0.0004217702,0.0002987445,0.0010081897,0.0001595174,0.016832413],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978794,0.0004025302,0.00011658559,0.0004139294,0.00079923344,0.0003883793],"domain_scores_gemma":[0.98990154,0.005983386,0.0011561101,0.0011947529,0.0008562998,0.00090798875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001816453,0.00097207143,0.00090106163,0.002412314,0.0010762438,0.0035252338,0.0013632268,0.0010440114,0.008051893],"category_scores_gemma":[0.01528854,0.00052974804,0.0005014684,0.0017084887,0.0027822333,0.005176527,0.0024995024,0.0020742153,0.0013690823],"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":[0.0008354143,0.00009041597,0.0108303055,0.00034634146,0.000058374935,0.00044432288,0.00034387762,0.016063893,0.012747705,0.8757127,0.005378408,0.07714828],"study_design_scores_gemma":[0.00004778109,0.00018492813,0.004967839,0.000088597495,0.000056274977,0.0009033683,0.00020278506,0.036864385,0.010884219,0.92231274,0.023415228,0.000071874936],"about_ca_topic_score_codex":0.0002576954,"about_ca_topic_score_gemma":0.00019436043,"teacher_disagreement_score":0.008051893,"about_ca_system_score_codex":0.0008567901,"about_ca_system_score_gemma":0.0006791846,"threshold_uncertainty_score":0.026936293},"labels":[],"label_agreement":null},{"id":"W4312940133","doi":"10.4337/9781035306176.00013","title":"A hard landing for the 'new economy'? Information technology and the United States national system of innovation","year":2008,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"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":"Quarter (Canadian coin); The Renaissance; Foundation (evidence); Economy; Regional science; Political science; Engineering; Economic history; Economics; History; Geography; Art history; Archaeology; Law","score_opus":0.0331553619185334,"score_gpt":0.19718194642681564,"score_spread":0.16402658450828222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312940133","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":[0.0034906326,0.12400912,0.0033588512,0.119495004,0.006332482,0.000012775061,0.00011351592,0.00012283401,0.7430648],"genre_scores_gemma":[0.2599237,0.16550013,0.0082335165,0.025848482,0.0067588687,0.000114272894,0.00037432247,0.00016951014,0.53307724],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993755,0.00017428999,0.000023517146,0.00006954086,0.0002527717,0.00010434184],"domain_scores_gemma":[0.99945146,0.00022336839,0.00004485387,0.00005543486,0.00014007195,0.00008478133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009493984,0.00032210897,0.00032715578,0.0012861761,0.002059108,0.008025205,0.0004356989,0.0017260918,0.009095212],"category_scores_gemma":[0.0019970909,0.00019081116,0.00022307303,0.0027980173,0.003812804,0.008892792,0.0015227485,0.0028752733,0.0026182288],"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":[0.000006092971,0.000007697509,0.00014210635,0.000032830943,0.0000022149254,0.000023110095,0.0006479548,0.00007823534,0.0000403166,0.78298503,0.17006437,0.04597011],"study_design_scores_gemma":[0.0000016088123,0.0000071225336,0.0004645337,0.00015066237,0.0000021544001,0.000052027164,0.00048769335,0.0001314222,0.000043965,0.113660105,0.8849935,0.000005263906],"about_ca_topic_score_codex":0.009028198,"about_ca_topic_score_gemma":0.018928602,"teacher_disagreement_score":0.009095212,"about_ca_system_score_codex":0.0039957836,"about_ca_system_score_gemma":0.004399315,"threshold_uncertainty_score":0.030426562},"labels":[],"label_agreement":null},{"id":"W4315490316","doi":"10.1016/j.mathsocsci.2023.01.001","title":"Can a negative population growth rate sustain a positive economic growth rate in the long run?","year":2023,"lang":"en","type":"article","venue":"Mathematical Social Sciences","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Economics; Population growth; Endogenous growth theory; Human capital; Per capita; Population; Growth rate; Investment (military); Capital deepening; Per capita income; Capital accumulation; Demographic economics; Monetary economics; Capital formation; Economic growth; Demography; Financial capital; Mathematics","score_opus":0.04005157796497166,"score_gpt":0.26623831393809905,"score_spread":0.22618673597312738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315490316","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":[0.72509336,0.008002514,0.058965832,0.096574,0.0019648415,0.000041707033,0.0010805742,0.0003535742,0.107923605],"genre_scores_gemma":[0.99207497,0.0018475375,0.00090510526,0.0011950409,0.00038722943,0.00001796877,0.00007973468,0.000041780553,0.0034507755],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996699,0.00006179796,0.000015388174,0.000085874024,0.000043207645,0.00012375957],"domain_scores_gemma":[0.99593544,0.0015015152,0.0013079622,0.00024545315,0.0005157387,0.00049388275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019429456,0.00043077674,0.00071088003,0.0006737181,0.00083072984,0.0031065326,0.0011413031,0.002505015,0.0074941237],"category_scores_gemma":[0.015237013,0.000281272,0.0005712626,0.00064102316,0.0026001823,0.006094783,0.0012287719,0.0017490144,0.0012614789],"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":[0.0004651332,0.00015648418,0.05155928,0.00061689573,0.0002046265,0.0018147187,0.0007510936,0.03398419,0.0043981327,0.841954,0.013056633,0.051038884],"study_design_scores_gemma":[0.000069839436,0.00012013904,0.024842473,0.0001374392,0.000090861184,0.00054205756,0.0019479571,0.031650424,0.0011977663,0.924277,0.015046697,0.00007732534],"about_ca_topic_score_codex":0.00601954,"about_ca_topic_score_gemma":0.004060396,"teacher_disagreement_score":0.0074941237,"about_ca_system_score_codex":0.0014893699,"about_ca_system_score_gemma":0.0013423068,"threshold_uncertainty_score":0.02507031},"labels":[],"label_agreement":null},{"id":"W4317824602","doi":"10.55365/1923.x2022.20.90","title":"The Impact of Wages, Unemployment and Economic Growth on Artificial Intelligence: Evidence from Countries Divided into Three Groups in the Government Artificial Intelligence Readiness Index","year":2022,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Unemployment; Proxy (statistics); Index (typography); Economics; Government (linguistics); Developing country; Panel data; Labour economics; Demographic economics; Economic growth; Econometrics; Machine learning","score_opus":0.053821180923208436,"score_gpt":0.26963510577884847,"score_spread":0.21581392485564005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317824602","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":[0.986639,0.009607733,0.0001259468,0.0003858655,0.000014486429,0.00000909749,0.00064563367,0.000002762343,0.002569561],"genre_scores_gemma":[0.9919368,0.006550201,0.00008377715,0.00007481078,0.000021179292,0.000008685359,0.0010114863,0.000001864127,0.00031121614],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991443,0.00029065565,0.00010333329,0.00012899734,0.00015061483,0.00018196122],"domain_scores_gemma":[0.9935535,0.0018200802,0.0031571188,0.00019701906,0.00072527153,0.00054701854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012820642,0.0002533587,0.00033963594,0.0024176696,0.00037289996,0.0011821154,0.00027888504,0.00035564165,0.0012156606],"category_scores_gemma":[0.004067224,0.00017843745,0.0008303738,0.005698119,0.0004927548,0.0006482914,0.0010489373,0.0005138007,0.00029522326],"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":[0.00008543772,0.000049429545,0.9881863,0.0001249151,0.00030509973,0.00008270616,0.00033800103,0.00028343196,0.00005756007,0.0005599993,0.00037151884,0.009555577],"study_design_scores_gemma":[0.0000053460776,0.00004448334,0.9978846,0.000073831165,0.00011779635,0.000027484693,0.00071016484,0.00011079914,0.00003719757,0.000110828616,0.000873823,0.0000036538495],"about_ca_topic_score_codex":0.014233294,"about_ca_topic_score_gemma":0.021719083,"teacher_disagreement_score":0.014233294,"about_ca_system_score_codex":0.00034045288,"about_ca_system_score_gemma":0.0005397424,"threshold_uncertainty_score":0.028300881},"labels":[],"label_agreement":null},{"id":"W4317824603","doi":"10.55365/1923.x2022.20.89","title":"The Impact of Import and Export to GDP Growth – The Case of Albania","year":2022,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Gross domestic product; Gross fixed capital formation; Real gross domestic product; Value (mathematics); Gross output; International economics; Gross private domestic investment; Percentage point; Monetary economics; Macroeconomics; Production (economics); Mathematics","score_opus":0.023033197793325688,"score_gpt":0.23624535275434178,"score_spread":0.2132121549610161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317824603","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":[0.95900047,0.007902441,0.0003391871,0.0033718974,0.000060925217,0.000008955731,0.0007769195,0.00002429964,0.0285149],"genre_scores_gemma":[0.9962132,0.0019444005,0.00005963985,0.00004529379,0.00005214317,0.0000032438227,0.00028584787,0.0000073069027,0.0013890372],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995914,0.00008610041,0.000019422807,0.00005171755,0.00009145939,0.00015979439],"domain_scores_gemma":[0.99916744,0.00024013985,0.00026991745,0.000039259634,0.0001605063,0.00012266102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000437472,0.0002990818,0.0003019025,0.0016391971,0.00035481076,0.0016628965,0.0002344756,0.00028803083,0.0027031102],"category_scores_gemma":[0.001996766,0.000079138495,0.00050712074,0.0020338092,0.0006798069,0.0009346482,0.0010272333,0.0007317042,0.0003682058],"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":[0.00041947965,0.00020175925,0.81074965,0.0007865502,0.00071792473,0.015165072,0.0019351617,0.029458817,0.0034849653,0.047457814,0.01573895,0.07388379],"study_design_scores_gemma":[0.000018223029,0.00009350871,0.9540814,0.0001881142,0.00023854068,0.0010361586,0.0030937258,0.011810388,0.0012955517,0.0065805553,0.021534141,0.000029832589],"about_ca_topic_score_codex":0.0347092,"about_ca_topic_score_gemma":0.020453364,"teacher_disagreement_score":0.0347092,"about_ca_system_score_codex":0.0016299977,"about_ca_system_score_gemma":0.00077167037,"threshold_uncertainty_score":0.06901437},"labels":[],"label_agreement":null},{"id":"W4320399015","doi":"10.1093/acprof:oso/9780198065470.002.0003","title":"Copyright Page","year":2010,"lang":"en","type":"other","venue":"","topic":"Economic Growth and Productivity","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":"Publishing; Excellence; Library science; Scholarship; Political science; Media studies; Geography; Sociology; Law","score_opus":0.01949374727528681,"score_gpt":0.19144404430372558,"score_spread":0.17195029702843878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320399015","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00025171685,0.00068544655,0.00029602295,0.0010264292,0.0034557718,0.000068687696,0.0037456048,0.00096351217,0.9895068],"genre_scores_gemma":[0.00084185955,0.00044739575,0.00012648577,0.00034353798,0.0002619239,0.000021905184,0.0019180032,0.00035799254,0.9956808],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993793,0.000057832673,0.00004934365,0.00014729226,0.00028122845,0.00008501922],"domain_scores_gemma":[0.998187,0.00022474417,0.000070992966,0.000532476,0.00067687617,0.0003078311],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006779223,0.00095147477,0.001000178,0.0019972543,0.0015468871,0.007702962,0.0011241576,0.0015375752,0.9018547],"category_scores_gemma":[0.0045405026,0.00042798155,0.00052254647,0.0029339138,0.00070247124,0.0033760285,0.0017511626,0.0017206635,0.883468],"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":[0.000015752725,0.000016312057,0.000083147745,0.00009430017,0.0000018291009,0.000026565504,0.000026595899,0.000020851285,0.00013561043,0.0027129925,0.9489499,0.04791615],"study_design_scores_gemma":[0.000003397421,0.0000050641893,0.00024214023,0.00005382626,8.9247544e-7,0.00002985985,0.000028431125,0.000017396942,0.000051302635,0.00045622914,0.99910885,0.000002584481],"about_ca_topic_score_codex":0.0032333233,"about_ca_topic_score_gemma":0.0040138545,"teacher_disagreement_score":0.098145306,"about_ca_system_score_codex":0.0011077794,"about_ca_system_score_gemma":0.0017027047,"threshold_uncertainty_score":0.13999236},"labels":[],"label_agreement":null},{"id":"W4320499470","doi":"10.2139/ssrn.4356236","title":"The Effect of R&amp;D on Quality, Productivity, and Welfare","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Queen's University","funders":"","keywords":"Productivity; Welfare; Quality (philosophy); Economics; Business; Physics; Macroeconomics; Market economy","score_opus":0.022779675789991988,"score_gpt":0.25405852972124243,"score_spread":0.23127885393125044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320499470","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":[0.94902,0.0077620205,0.002466259,0.0056921025,0.00007027829,0.00004900973,0.0025302647,0.00009760683,0.032312497],"genre_scores_gemma":[0.99566025,0.00088802446,0.0002615768,0.00018025155,0.000048212583,0.0000073486776,0.00020431684,0.000008148764,0.002741895],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99727935,0.0012773442,0.00018719218,0.00028268274,0.00035277096,0.000620651],"domain_scores_gemma":[0.95628375,0.024459476,0.0112280585,0.0021157686,0.0022135465,0.003699407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041614063,0.00025499112,0.000526139,0.0013948326,0.00047482032,0.0035100486,0.0005728255,0.0015451639,0.010685709],"category_scores_gemma":[0.017927064,0.00026950843,0.0010388185,0.001982881,0.001465101,0.0013686123,0.0012428903,0.0011954751,0.0014159003],"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":[0.0030698348,0.0011908116,0.88567966,0.00032627804,0.0012573947,0.00046914237,0.00025881804,0.020120928,0.0026434103,0.024211463,0.003489305,0.05728283],"study_design_scores_gemma":[0.0003409841,0.0008571187,0.95433265,0.0001125752,0.0006439008,0.0003119607,0.00062158756,0.009126526,0.002381504,0.025563758,0.005654613,0.00005275438],"about_ca_topic_score_codex":0.011332971,"about_ca_topic_score_gemma":0.0099812,"teacher_disagreement_score":0.011332971,"about_ca_system_score_codex":0.0025995863,"about_ca_system_score_gemma":0.0017513827,"threshold_uncertainty_score":0.03574729},"labels":[],"label_agreement":null},{"id":"W4321480890","doi":"10.1007/s11123-023-00662-7","title":"Sources of productivity growth in Eastern Europe and Russia before the global financial crisis","year":2023,"lang":"en","type":"article","venue":"Journal of Productivity Analysis","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"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":"Convergence (economics); Productivity; Financial crisis; Multifactor productivity; Quarter (Canadian coin); Economics; Manufacturing; Total factor productivity; Economic geography; Business; Macroeconomics; Geography","score_opus":0.020851369210068648,"score_gpt":0.22266556397888704,"score_spread":0.2018141947688184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321480890","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":[0.99164456,0.0013185936,0.00020902553,0.0011181984,0.00003834427,0.0000037496286,0.002122579,0.00002377025,0.003521216],"genre_scores_gemma":[0.9978143,0.00037201465,0.000032875247,0.00002277975,0.000041326053,0.0000021767714,0.0009208681,0.000007410971,0.00078623276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996063,0.00006210006,0.00004209135,0.000064872336,0.0000791336,0.00014553325],"domain_scores_gemma":[0.9970668,0.0008444432,0.0010620801,0.0001493093,0.0006176476,0.0002596997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012158637,0.00024366619,0.00037660968,0.003021531,0.00045841598,0.0027961817,0.00048762237,0.00065008475,0.001725069],"category_scores_gemma":[0.0045877146,0.00019735243,0.00038297786,0.0037674909,0.00051930314,0.0012717206,0.0018617477,0.0009022845,0.00049690646],"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":[0.00090415275,0.000106500745,0.9347003,0.00012486658,0.0003021868,0.00096835056,0.0022750893,0.0048174434,0.0010527803,0.015049323,0.0047672046,0.034931827],"study_design_scores_gemma":[0.000017760553,0.00002270379,0.99192023,0.000039022292,0.000045562552,0.000089506,0.0010544744,0.0011785207,0.00035607477,0.0015346195,0.003728565,0.000012959717],"about_ca_topic_score_codex":0.01350492,"about_ca_topic_score_gemma":0.0075662406,"teacher_disagreement_score":0.01350492,"about_ca_system_score_codex":0.001426184,"about_ca_system_score_gemma":0.00092711067,"threshold_uncertainty_score":0.026852608},"labels":[],"label_agreement":null},{"id":"W4321609175","doi":"10.2139/ssrn.4362818","title":"Why Are the Wealthiest So Wealthy? A Longitudinal Empirical Investigation","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","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":"University of Toronto","funders":"","keywords":"Political science; Empirical research; Demographic economics; Economics; Mathematics; Statistics","score_opus":0.05113637127538844,"score_gpt":0.2597471691964886,"score_spread":0.20861079792110016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321609175","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":[0.99678975,0.0006122508,0.00008963268,0.0009098161,0.000023940042,0.00001397103,0.0007278591,0.0000034523257,0.00082927995],"genre_scores_gemma":[0.99683726,0.00036862172,0.000082475046,0.00041678039,0.00003176871,0.000018591452,0.0005001129,0.000006115418,0.001738271],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992124,0.00017568225,0.00005947236,0.00016467625,0.000104664716,0.00028304543],"domain_scores_gemma":[0.9895732,0.0016911557,0.004184429,0.0007659457,0.0011277212,0.0026575387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029484215,0.00022205402,0.00060462323,0.0011999409,0.0023599728,0.0027692267,0.00091051357,0.0015994994,0.0056296885],"category_scores_gemma":[0.009023638,0.0004912812,0.0004265554,0.0018279874,0.00124935,0.0040328456,0.0016245061,0.0035787616,0.0016150536],"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":[0.00015019903,0.0003788431,0.98956317,0.000014406495,0.00004880529,0.0001631319,0.0039696535,0.000021518312,0.00014150266,0.00048500774,0.0008329047,0.0042308355],"study_design_scores_gemma":[0.0000184057,0.00030674736,0.98607045,0.000041710136,0.000051478528,0.0002459295,0.00961824,0.00012965962,0.000095697695,0.0009255859,0.0024716093,0.000024533761],"about_ca_topic_score_codex":0.0227522,"about_ca_topic_score_gemma":0.023340968,"teacher_disagreement_score":0.0227522,"about_ca_system_score_codex":0.00045565024,"about_ca_system_score_gemma":0.0010555272,"threshold_uncertainty_score":0.04523951},"labels":[],"label_agreement":null},{"id":"W4322773292","doi":"10.1177/22779752221145613","title":"The Decomposition of Productivity Growth for India: Before and After 1991","year":2023,"lang":"en","type":"article","venue":"IIM Kozhikode Society & Management Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"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":"Productivity; Tertiary sector of the economy; Economics; Total factor productivity; Quarter (Canadian coin); Liberalization; Structural change; Development economics; Economy; Macroeconomics; Geography; Market economy","score_opus":0.016294325635088508,"score_gpt":0.24393847581518846,"score_spread":0.22764415018009995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322773292","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":[0.9627159,0.003432875,0.000995497,0.0011505239,0.00007768285,0.000029742083,0.012030339,0.00008421946,0.019483268],"genre_scores_gemma":[0.9843491,0.0020538243,0.00032378157,0.000054222146,0.000059248592,0.00001904689,0.009398427,0.000015881707,0.003726458],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995678,0.000030755822,0.000026370119,0.00004689394,0.000106071915,0.00022214858],"domain_scores_gemma":[0.9985066,0.0001989065,0.00048223708,0.000078799276,0.00057849113,0.00015493306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042601838,0.00032369685,0.0002308331,0.0038628846,0.00027599523,0.0012753002,0.00029756018,0.0002342575,0.00206969],"category_scores_gemma":[0.0016625046,0.00013643072,0.00077729864,0.006953739,0.00039071578,0.00063130877,0.0007493761,0.0007367925,0.0008559459],"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":[0.00031192214,0.000067795976,0.873016,0.0004329336,0.00024982178,0.0007776105,0.0027322415,0.010737285,0.0015160884,0.016263548,0.012327669,0.08156722],"study_design_scores_gemma":[0.0000032596163,0.000031961412,0.98750323,0.000039273935,0.000028436723,0.000105838284,0.0006948952,0.0013051267,0.00027874488,0.00059293257,0.009405187,0.00001106368],"about_ca_topic_score_codex":0.07901594,"about_ca_topic_score_gemma":0.04398352,"teacher_disagreement_score":0.07901594,"about_ca_system_score_codex":0.002912084,"about_ca_system_score_gemma":0.0022238311,"threshold_uncertainty_score":0.15711206},"labels":[],"label_agreement":null},{"id":"W4323350037","doi":"10.5430/ijfr.v14n2p1","title":"The Restraining Effect of Human Capital Mismatch and Structure Distortion on Economic Growth -- A New Structural Economics Analysis","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Distortion (music); Human capital; Economics; Monopoly; Structural capital; Economic system; Microeconomics; Economic capital; Individual capital; Market economy; Engineering; Telecommunications","score_opus":0.04211696575405563,"score_gpt":0.3319344679709953,"score_spread":0.2898175022169397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323350037","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":[0.7083946,0.0026066937,0.2364506,0.0066401563,0.00012545357,0.00010959299,0.00035052554,0.00016516642,0.045157183],"genre_scores_gemma":[0.9962159,0.00041392926,0.002078832,0.0000705495,0.000037251608,0.000017278908,0.000025801688,0.000005903539,0.0011344885],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994442,0.00014405148,0.000034996297,0.00011474089,0.00013789472,0.00012414699],"domain_scores_gemma":[0.9981623,0.0006945578,0.0005419132,0.00021868876,0.00024633863,0.000136295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010318215,0.00037734353,0.00042191002,0.0009835932,0.00047910216,0.0012084058,0.00054475554,0.00048554933,0.0030104737],"category_scores_gemma":[0.003992862,0.00019233969,0.00071138726,0.0007146911,0.0018382584,0.002464955,0.0013839785,0.00069208187,0.00016652395],"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":[0.00013136065,0.00013316232,0.09420831,0.00026757352,0.00020334846,0.0008538712,0.0010373184,0.10924988,0.0051238476,0.7231341,0.0020673077,0.063589945],"study_design_scores_gemma":[0.000075130694,0.00021908955,0.081842616,0.00008346681,0.00018123003,0.00043000508,0.0010936451,0.21161349,0.0034384811,0.68993604,0.0110242935,0.00006253163],"about_ca_topic_score_codex":0.00338768,"about_ca_topic_score_gemma":0.0024394323,"teacher_disagreement_score":0.00338768,"about_ca_system_score_codex":0.0017616726,"about_ca_system_score_gemma":0.0011975677,"threshold_uncertainty_score":0.012781918},"labels":[],"label_agreement":null},{"id":"W4323793173","doi":"10.20955/wp.2023.004","title":"Why Are the Wealthiest So Wealthy? A Longitudinal Empirical Investigation","year":2023,"lang":"en","type":"report","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"European Commission","keywords":"Empirical research; Business; Demographic economics; Economics; Mathematics; Statistics","score_opus":0.25702179066332387,"score_gpt":0.32986315115688375,"score_spread":0.07284136049355988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323793173","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":[0.9925101,0.0011711153,0.00020700385,0.00088661566,0.000020487849,0.000014574133,0.003880506,0.0000044119774,0.0013052849],"genre_scores_gemma":[0.99389243,0.0006204556,0.00015372872,0.00021399268,0.00002455436,0.000028016377,0.003018025,0.000006468339,0.002042321],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942553,0.00014654346,0.00004171862,0.00013058605,0.00007775275,0.00017792487],"domain_scores_gemma":[0.995808,0.0010695793,0.0017441747,0.00029304728,0.0004315789,0.0006534954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022583576,0.00015431452,0.00036382917,0.0008351034,0.0011852257,0.0012027153,0.00060274755,0.00076348835,0.0054369927],"category_scores_gemma":[0.0057399757,0.00032391388,0.00035678456,0.0017600006,0.00051301334,0.0017135164,0.001052137,0.0015587134,0.0010800209],"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":[0.000065757056,0.00013620683,0.9903752,0.000016078033,0.000046406967,0.00013630728,0.0016674617,0.00005368639,0.00006489385,0.00058115995,0.0021372435,0.004719499],"study_design_scores_gemma":[0.000009950778,0.000078450816,0.99133897,0.00007471238,0.00004670737,0.00014578298,0.0035530236,0.0003961437,0.000052940522,0.00059783325,0.0036915466,0.00001414984],"about_ca_topic_score_codex":0.0470806,"about_ca_topic_score_gemma":0.054530635,"teacher_disagreement_score":0.0470806,"about_ca_system_score_codex":0.00046555797,"about_ca_system_score_gemma":0.00071611704,"threshold_uncertainty_score":0.09361315},"labels":[],"label_agreement":null},{"id":"W4324317433","doi":"10.5430/ijfr.v14n2p31","title":"Financial Deepening, OFDI and Economic Growth: Based on the Perspectives of Both China and Host Countries","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial deepening; China; Foreign direct investment; Spillover effect; Economics; Error correction model; Financial market; International economics; Economic system; Macroeconomics; Financial intermediary; Finance; Cointegration; Geography; Econometrics","score_opus":0.042931516193506034,"score_gpt":0.30275019397647035,"score_spread":0.2598186777829643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324317433","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":[0.9413822,0.005312006,0.015877523,0.005591474,0.000072966286,0.00003832752,0.00050553144,0.0000307214,0.03118911],"genre_scores_gemma":[0.9951383,0.0022993563,0.0010438267,0.00008546037,0.00003296208,0.000009658624,0.000114931194,0.0000019227869,0.001273476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996755,0.00010492325,0.000016595603,0.000059513033,0.00006233868,0.000081164435],"domain_scores_gemma":[0.99953306,0.000120845245,0.00015986463,0.000023358209,0.000093381255,0.00006947505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007495425,0.0004605646,0.0002920907,0.0019291808,0.0003641642,0.0017543982,0.0002982859,0.00034971803,0.001404409],"category_scores_gemma":[0.0008625227,0.00010054943,0.00053470785,0.0017734279,0.0007394958,0.0019364109,0.0012513024,0.0006553324,0.0000484299],"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":[0.00010279852,0.0001050945,0.54429275,0.00044451904,0.00044069104,0.0023355167,0.0028760326,0.048116025,0.0031897975,0.30395326,0.0024192168,0.09172435],"study_design_scores_gemma":[0.000033744964,0.00021474421,0.698972,0.00047359322,0.00043962,0.0006616354,0.007828286,0.16687343,0.0032330072,0.09529139,0.02586312,0.00011553423],"about_ca_topic_score_codex":0.023833014,"about_ca_topic_score_gemma":0.016434629,"teacher_disagreement_score":0.023833014,"about_ca_system_score_codex":0.0017765337,"about_ca_system_score_gemma":0.0018405066,"threshold_uncertainty_score":0.047388554},"labels":[],"label_agreement":null},{"id":"W4327808441","doi":"10.2139/ssrn.4392174","title":"Labor Market Institutions, Productivity, and the Business Cycle: An Application to Italy","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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","funders":"","keywords":"Business cycle; Productivity; Business; Industrial organization; Labour economics; Economics; Economic growth; Macroeconomics","score_opus":0.013630237719542481,"score_gpt":0.22472554554817556,"score_spread":0.2110953078286331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327808441","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":[0.8943663,0.0124212615,0.010460069,0.010938838,0.0002583018,0.00011691797,0.0017939274,0.0003511609,0.06929309],"genre_scores_gemma":[0.98664826,0.0053681307,0.0014483153,0.0002426204,0.00038226592,0.00005438903,0.00048994616,0.000032068514,0.005334082],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998072,0.00009665292,0.000007016574,0.00002616054,0.000019059717,0.000043948],"domain_scores_gemma":[0.9982192,0.0012738561,0.00022188568,0.000060385544,0.00008429078,0.00014038746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092183356,0.0005042396,0.00063966925,0.0020068763,0.00059033587,0.0017173943,0.00048537116,0.000937617,0.0072489907],"category_scores_gemma":[0.0036524867,0.0001749801,0.00082600804,0.0037076916,0.0007987375,0.0006838115,0.0013218796,0.00091898825,0.00042214253],"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":[0.0014831079,0.0012744032,0.43417552,0.0010341043,0.000600698,0.0036022447,0.0022801915,0.15152082,0.0012110738,0.205937,0.05690989,0.13997096],"study_design_scores_gemma":[0.0009937953,0.0007849394,0.45007008,0.0005648182,0.0011607436,0.00096435274,0.0027074404,0.36364788,0.0008199519,0.13990611,0.03818167,0.00019824659],"about_ca_topic_score_codex":0.053818375,"about_ca_topic_score_gemma":0.03653767,"teacher_disagreement_score":0.053818375,"about_ca_system_score_codex":0.0019795247,"about_ca_system_score_gemma":0.0012603753,"threshold_uncertainty_score":0.107010245},"labels":[],"label_agreement":null},{"id":"W4352996655","doi":"10.2139/ssrn.4394849","title":"Why are the Wealthiest so Wealthy? A Longitudinal Empirical Investigation","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","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":"University of Toronto","funders":"","keywords":"Empirical research; Political science; Economics; Mathematics","score_opus":0.05113637127538844,"score_gpt":0.2597471691964886,"score_spread":0.20861079792110016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4352996655","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":[0.99678975,0.0006122508,0.00008963268,0.0009098161,0.000023940042,0.00001397103,0.0007278591,0.0000034523257,0.00082927995],"genre_scores_gemma":[0.99683726,0.00036862172,0.000082475046,0.00041678039,0.00003176871,0.000018591452,0.0005001129,0.000006115418,0.001738271],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992124,0.00017568225,0.00005947236,0.00016467625,0.000104664716,0.00028304543],"domain_scores_gemma":[0.9895732,0.0016911557,0.004184429,0.0007659457,0.0011277212,0.0026575387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029484215,0.00022205402,0.00060462323,0.0011999409,0.0023599728,0.0027692267,0.00091051357,0.0015994994,0.0056296885],"category_scores_gemma":[0.009023638,0.0004912812,0.0004265554,0.0018279874,0.00124935,0.0040328456,0.0016245061,0.0035787616,0.0016150536],"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":[0.00015019903,0.0003788431,0.98956317,0.000014406495,0.00004880529,0.0001631319,0.0039696535,0.000021518312,0.00014150266,0.00048500774,0.0008329047,0.0042308355],"study_design_scores_gemma":[0.0000184057,0.00030674736,0.98607045,0.000041710136,0.000051478528,0.0002459295,0.00961824,0.00012965962,0.000095697695,0.0009255859,0.0024716093,0.000024533761],"about_ca_topic_score_codex":0.0227522,"about_ca_topic_score_gemma":0.023340968,"teacher_disagreement_score":0.0227522,"about_ca_system_score_codex":0.00045565024,"about_ca_system_score_gemma":0.0010555272,"threshold_uncertainty_score":0.04523951},"labels":[],"label_agreement":null},{"id":"W4361975109","doi":"10.55365/1923.x2023.21.31","title":"Exploring Determinants of Firm´s Innovation in Morocco: Evidence from the World Bank Enterprises Survey","year":2023,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Competition (biology); Industrial organization; Probit model; Survey data collection; Product innovation; Foreign direct investment; Certification; Product (mathematics); Investment (military); Economics; Politics","score_opus":0.24210219580110043,"score_gpt":0.2895002195305053,"score_spread":0.04739802372940488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361975109","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":[0.99161166,0.0030583644,0.000064851425,0.0008476151,0.00001244352,0.000011056704,0.0019154714,0.0000039406523,0.0024746435],"genre_scores_gemma":[0.99706,0.0016812521,0.000056575616,0.000068931266,0.000021019421,0.0000086468535,0.0007825971,8.532786e-7,0.00032012313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994881,0.00014051059,0.000040127627,0.00005803368,0.0001282465,0.00014496174],"domain_scores_gemma":[0.9959324,0.0009014366,0.0022439323,0.00009697417,0.0005264483,0.00029888554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011259146,0.00018812163,0.00022152852,0.0016119267,0.00035716043,0.00067249185,0.00026292054,0.00025402024,0.0011077473],"category_scores_gemma":[0.002817985,0.00011634058,0.00022927596,0.0024451995,0.0002513933,0.00037771513,0.000493906,0.0002789773,0.00022851233],"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":[0.000028754303,0.000027789949,0.9902839,0.00010100695,0.000047356676,0.00014455627,0.0006520253,0.00011810419,0.0001171127,0.0002483424,0.0010508999,0.007180166],"study_design_scores_gemma":[0.0000014969689,0.000008445112,0.9983127,0.000031387335,0.000013054312,0.000019038087,0.00042949236,0.00008976149,0.000028618966,0.000018917786,0.0010449586,0.0000020252212],"about_ca_topic_score_codex":0.10491179,"about_ca_topic_score_gemma":0.10108503,"teacher_disagreement_score":0.10491179,"about_ca_system_score_codex":0.0010944142,"about_ca_system_score_gemma":0.0009888846,"threshold_uncertainty_score":0.20860231},"labels":[],"label_agreement":null},{"id":"W4364375109","doi":"10.18280/ijsdp.180329","title":"The Impact of E-Commerce on the Economic Growth of the Western Balkan Countries: A Panel Data Analysis","year":2023,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Panel data; Economics; Business; Economy; Natural resource economics; Development economics; Econometrics","score_opus":0.05594548381961963,"score_gpt":0.2763859738063993,"score_spread":0.22044048998677965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4364375109","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":[0.9906007,0.0003275415,0.00048677012,0.0002374492,0.000022981938,0.00001981042,0.0057160873,0.000014839797,0.0025737644],"genre_scores_gemma":[0.98530406,0.00036689863,0.00042024394,0.00008751047,0.000024113577,0.00005718109,0.011936991,0.000005937435,0.0017970474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994265,0.00024797732,0.000043452674,0.000106581116,0.00005325609,0.0001222799],"domain_scores_gemma":[0.9982602,0.0007508011,0.00042969958,0.00015445997,0.00027139502,0.00013333249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011111203,0.00030085148,0.00040057098,0.0009193206,0.00043789216,0.0010113404,0.0003667007,0.00054988865,0.0036234788],"category_scores_gemma":[0.0014826038,0.00020883948,0.0007739618,0.0021715746,0.00023440678,0.00051334547,0.000631331,0.0010550201,0.000848935],"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":[0.00021031703,0.00034353603,0.97659075,0.00006509051,0.00050955324,0.0004237145,0.00038816943,0.0062353406,0.00033546155,0.0006539393,0.0043578474,0.009886227],"study_design_scores_gemma":[0.000028933402,0.00018715215,0.9829176,0.00004495757,0.00028647017,0.00012762424,0.0016470113,0.009167741,0.0005027977,0.00030440374,0.004759045,0.000026184234],"about_ca_topic_score_codex":0.032010965,"about_ca_topic_score_gemma":0.025291191,"teacher_disagreement_score":0.032010965,"about_ca_system_score_codex":0.0004490814,"about_ca_system_score_gemma":0.0005886318,"threshold_uncertainty_score":0.0636493},"labels":[],"label_agreement":null},{"id":"W4365141113","doi":"10.1111/cjag.12331","title":"Induced innovation and spillover effects of US and Canadian research expenditures in Canadian agriculture","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Agriculture; Spillover effect; Agricultural economics; Geography; Political science; Economics; Archaeology","score_opus":0.04719626439725986,"score_gpt":0.2079009719557097,"score_spread":0.16070470755844984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365141113","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":[0.9388075,0.008106586,0.0014897671,0.0048910393,0.000098877164,0.00008095016,0.009342621,0.00007120951,0.037111484],"genre_scores_gemma":[0.992964,0.0016868267,0.00017983373,0.0001355579,0.000034027373,0.000010172303,0.001378609,0.0000046058417,0.0036063965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979724,0.00018447968,0.000096085045,0.00023828248,0.0008239799,0.0006846947],"domain_scores_gemma":[0.9843688,0.0050104912,0.0044958238,0.00057231134,0.0038703142,0.0016822584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027264396,0.00022017452,0.00045850035,0.0041368725,0.0012181145,0.0022184777,0.0004906553,0.00055240496,0.003704918],"category_scores_gemma":[0.013652502,0.00011861513,0.0006888342,0.0057969587,0.0013595957,0.0007880398,0.0012221838,0.0010801151,0.000170464],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004751163,0.00017717162,0.8670511,0.0003120099,0.00056646817,0.0006576673,0.0017937259,0.021108594,0.00058157585,0.0419962,0.010555974,0.05472434],"study_design_scores_gemma":[0.000027623928,0.0000504554,0.97610676,0.00013295903,0.00021546194,0.00007004144,0.0010774089,0.0041788253,0.00042254332,0.0029688485,0.014705797,0.00004329638],"about_ca_topic_score_codex":0.9346885,"about_ca_topic_score_gemma":0.9329327,"teacher_disagreement_score":0.9727708,"about_ca_system_score_codex":0.027229175,"about_ca_system_score_gemma":0.02414083,"threshold_uncertainty_score":0.1975624},"labels":[],"label_agreement":null},{"id":"W4366228233","doi":"10.2139/ssrn.4408985","title":"Potential Growth Prospects: Risks, Rewards and Policies","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Slowdown; Investment (military); Tipping point (physics); Point (geometry); Economics; Annual growth %; Human capital; Quarter (Canadian coin); Percentage point; Public investment; Demographic economics; Economic policy; Economic growth; Agricultural economics; Finance; Geography; European union","score_opus":0.018770686743323647,"score_gpt":0.22513025690122396,"score_spread":0.2063595701579003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366228233","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":[0.31242588,0.069503054,0.109349236,0.17780001,0.0013759984,0.00011804817,0.002166603,0.00045643916,0.3268048],"genre_scores_gemma":[0.97448415,0.009004841,0.0016042371,0.0005240346,0.0006309921,0.000030005613,0.00014642526,0.00003375978,0.013541568],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99892765,0.00040196278,0.0000548308,0.00014781364,0.0003326695,0.00013503892],"domain_scores_gemma":[0.991417,0.004682465,0.0017263964,0.000326038,0.00080836826,0.0010397458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031060127,0.0005650491,0.0005668487,0.0013287776,0.0008344456,0.009378373,0.0005898018,0.0037959141,0.006780876],"category_scores_gemma":[0.019815944,0.00037327342,0.00030093436,0.0016678387,0.0025031976,0.007092539,0.0018807147,0.004046584,0.001163919],"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":[0.00019411117,0.00007085406,0.01237611,0.00010240027,0.000030246694,0.00028716293,0.00038848713,0.016590696,0.00026214242,0.90001726,0.008137186,0.06154344],"study_design_scores_gemma":[0.0000139334525,0.00005258144,0.00527492,0.00013714013,0.00001752819,0.0002493066,0.00044144524,0.01005881,0.00015286167,0.9709089,0.012657627,0.000034954945],"about_ca_topic_score_codex":0.0011161541,"about_ca_topic_score_gemma":0.0021579466,"teacher_disagreement_score":0.009378373,"about_ca_system_score_codex":0.002011837,"about_ca_system_score_gemma":0.001215561,"threshold_uncertainty_score":0.022684216},"labels":[],"label_agreement":null},{"id":"W4366423955","doi":"10.2139/ssrn.4412667","title":"Valuing Labor Market Power: the Role of Productivity Advantages","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Productivity; Market power; Labour economics; Economics; Power (physics); Industrial organization; Business; Natural resource economics; Microeconomics; Macroeconomics; Monopoly","score_opus":0.007580881620685396,"score_gpt":0.20229086412795957,"score_spread":0.19470998250727417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366423955","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":[0.8798588,0.0035737173,0.008316312,0.006870216,0.000091655,0.000020860261,0.00014961704,0.00002487494,0.10109385],"genre_scores_gemma":[0.99856806,0.00036005964,0.00023698181,0.000043546384,0.000056200035,0.0000019721851,0.000009458429,0.0000033791584,0.00072025735],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995203,0.00020912444,0.00001788788,0.00006147209,0.000109806795,0.000081404134],"domain_scores_gemma":[0.9887687,0.008082595,0.0013725564,0.00049053505,0.00041703074,0.00086852413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021649944,0.00033119493,0.00032655997,0.0013301336,0.00045214838,0.004729204,0.00039832565,0.0010313424,0.0072445106],"category_scores_gemma":[0.015378123,0.00010776197,0.00019529277,0.0011177165,0.002196724,0.0060649165,0.001250612,0.0011726611,0.0003383763],"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":[0.0008899543,0.00039781103,0.15055604,0.0002255171,0.00011619147,0.0006467853,0.002892083,0.009476772,0.003554293,0.6352328,0.0030452881,0.19296645],"study_design_scores_gemma":[0.000057359113,0.00020970468,0.08553426,0.00013797882,0.000053094816,0.00024876843,0.0038021372,0.014284317,0.0011082601,0.8889353,0.005582057,0.000046690253],"about_ca_topic_score_codex":0.0008100511,"about_ca_topic_score_gemma":0.00081830274,"teacher_disagreement_score":0.0072445106,"about_ca_system_score_codex":0.0009783892,"about_ca_system_score_gemma":0.000420947,"threshold_uncertainty_score":0.024235249},"labels":[],"label_agreement":null},{"id":"W4366493585","doi":"10.3917/ger.004.0084","title":"Enjeux politiques des rivalités technologiques sino-américaines","year":2022,"lang":"fr","type":"article","venue":"Germinal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre de Géomatique du Québec","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.07561954669203537,"score_gpt":0.2701931525125662,"score_spread":0.19457360582053085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366493585","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":[0.3245997,0.010776686,0.019417493,0.012303887,0.00008148513,0.0000580414,0.0006413637,0.000092128226,0.6320292],"genre_scores_gemma":[0.95463437,0.0037301746,0.0027687596,0.00042484808,0.00007897811,0.00007874459,0.00021926903,0.000034227392,0.03803053],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998139,0.00067087804,0.000068938636,0.00032080043,0.00049258,0.00030776404],"domain_scores_gemma":[0.99625456,0.0021608646,0.00064698636,0.00023321739,0.0005221937,0.00018208637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022776807,0.0003070497,0.00037767895,0.0020917302,0.00223358,0.007137032,0.00028063686,0.0008798497,0.018759996],"category_scores_gemma":[0.0049247486,0.00029609993,0.000387391,0.003025146,0.0023430933,0.0031905216,0.00122815,0.0014696836,0.0007187096],"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":[0.000049080798,0.000026073527,0.008215271,0.00006947346,0.00003594326,0.00008914871,0.0014329389,0.0017813172,0.00042426315,0.96422,0.001979835,0.021676641],"study_design_scores_gemma":[0.000052520274,0.0001525789,0.08072584,0.00054149143,0.000106761014,0.000451211,0.009718888,0.014071001,0.0016849843,0.56669056,0.3257312,0.00007296379],"about_ca_topic_score_codex":0.033089954,"about_ca_topic_score_gemma":0.03304685,"teacher_disagreement_score":0.033089954,"about_ca_system_score_codex":0.0049968334,"about_ca_system_score_gemma":0.0026115929,"threshold_uncertainty_score":0.06579471},"labels":[],"label_agreement":null},{"id":"W4366957276","doi":"10.2139/ssrn.4413752","title":"Access to High-Income Countries and Product Innovation: Evidence from China","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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 Calgary","funders":"","keywords":"China; Business; Product (mathematics); High income countries; Economics; Economic growth; Developing country; Geography","score_opus":0.029077829604174734,"score_gpt":0.2525161820291734,"score_spread":0.22343835242499868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366957276","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":[0.99719584,0.0007958549,0.000038832226,0.00013430281,0.000004227443,0.000005682811,0.00035470506,0.0000026901719,0.0014676955],"genre_scores_gemma":[0.998594,0.00053082255,0.00002095767,0.000030249292,0.000010898764,0.0000029483192,0.00039573552,0.0000011522224,0.00041317087],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992867,0.00010204797,0.000068474204,0.00011141342,0.00016440886,0.00026700067],"domain_scores_gemma":[0.99139225,0.0020703247,0.003656972,0.00041484373,0.0009844723,0.0014811528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011138779,0.00037587513,0.0005791429,0.00346758,0.0009334334,0.0015979178,0.0005802659,0.00052834867,0.0040654163],"category_scores_gemma":[0.002650352,0.00018057694,0.00079254096,0.006138668,0.001231983,0.0010938612,0.0015194968,0.00052935333,0.00028593992],"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":[0.000095457974,0.00008594868,0.9925815,0.000056016648,0.00015461797,0.00031771933,0.00058688765,0.00022327031,0.00016871434,0.0005342254,0.0002830936,0.004912533],"study_design_scores_gemma":[0.000011116783,0.000050993,0.99824995,0.000015134663,0.000080275524,0.00004910997,0.0006440715,0.00019563505,0.000085098676,0.00010453499,0.00050767395,0.000006397123],"about_ca_topic_score_codex":0.09266915,"about_ca_topic_score_gemma":0.11452061,"teacher_disagreement_score":0.09266915,"about_ca_system_score_codex":0.0010239176,"about_ca_system_score_gemma":0.0016787769,"threshold_uncertainty_score":0.18425953},"labels":[],"label_agreement":null},{"id":"W4367048703","doi":"10.21203/rs.3.rs-2807503/v1","title":"Innovation-driven growth in a multi-country world","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Productivity; Economics; Endogenous growth theory; Scale effects; Economic geography; Cross country; Developing country; Scale (ratio); Demographic economics; Economic growth; Human capital; Geography","score_opus":0.21788701220157275,"score_gpt":0.36754797389014837,"score_spread":0.14966096168857562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367048703","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":[0.4288016,0.0026217224,0.42755204,0.016216055,0.00036103596,0.0002085025,0.0025177356,0.0005332128,0.12118807],"genre_scores_gemma":[0.9598442,0.0013017482,0.010581494,0.00031929355,0.00009151639,0.0001653203,0.0002608666,0.00004797204,0.027387667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99926084,0.0003445962,0.000029905319,0.00014474023,0.000087267435,0.00013260265],"domain_scores_gemma":[0.9972241,0.0013187688,0.0006136156,0.00016858328,0.00029893205,0.00037596613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018332475,0.00078484166,0.0013917397,0.001426599,0.0009088425,0.0039878758,0.001609279,0.0026261166,0.009008506],"category_scores_gemma":[0.0044141454,0.00060470536,0.0012792337,0.0017595934,0.0017880176,0.003308453,0.0023272566,0.0017020508,0.0012468885],"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":[0.0001032582,0.00009007062,0.0023042879,0.00008836413,0.000078253965,0.0006521904,0.0002153714,0.64041895,0.000576876,0.3479905,0.0023643547,0.0051175323],"study_design_scores_gemma":[0.00011609989,0.00007531435,0.0008779896,0.00004632086,0.000039549435,0.00014067016,0.00015689315,0.8795255,0.00017858835,0.11442129,0.004378876,0.000042999425],"about_ca_topic_score_codex":0.009109654,"about_ca_topic_score_gemma":0.0041374913,"teacher_disagreement_score":0.009109654,"about_ca_system_score_codex":0.0020584438,"about_ca_system_score_gemma":0.001137027,"threshold_uncertainty_score":0.030136406},"labels":[],"label_agreement":null},{"id":"W4367359635","doi":"10.2139/ssrn.4432694","title":"How Does Vertical Integration Affect Incentives to Innovate?","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Kellogg's (Canada)","funders":"","keywords":"Affect (linguistics); Incentive; Vertical integration; Business; Industrial organization; Microeconomics; Economics; Psychology; Communication","score_opus":0.02996546769349706,"score_gpt":0.24014711250742407,"score_spread":0.210181644813927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367359635","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":[0.9732781,0.00042299164,0.0016356166,0.0010538326,0.000025844447,0.00002392191,0.00014770344,0.00002696547,0.02338505],"genre_scores_gemma":[0.99765354,0.000084083214,0.00019393576,0.00005750131,0.000013145954,0.000004589862,0.00003328981,0.000004116303,0.001955684],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986965,0.00024117234,0.000056856374,0.00016645962,0.00026287086,0.00057614833],"domain_scores_gemma":[0.97839695,0.009449008,0.0054236334,0.00078905234,0.0016179528,0.0043234276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023067675,0.0002502211,0.0004785353,0.00080078037,0.0008269287,0.0039287475,0.00037913074,0.0016170663,0.02003096],"category_scores_gemma":[0.012504028,0.00024801554,0.00042139748,0.0009259454,0.0010654203,0.0032277792,0.0018654951,0.0012506846,0.0010487944],"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":[0.003480195,0.0025589357,0.665365,0.0004992824,0.0004957398,0.00085291546,0.0034057759,0.011011357,0.027293524,0.13755544,0.0047522467,0.14272964],"study_design_scores_gemma":[0.0004455464,0.0014878027,0.7666501,0.00031109105,0.00043790048,0.0004645386,0.010653071,0.019859537,0.006596185,0.1764842,0.016505849,0.00010420086],"about_ca_topic_score_codex":0.0040723146,"about_ca_topic_score_gemma":0.005631317,"teacher_disagreement_score":0.02003096,"about_ca_system_score_codex":0.0012635931,"about_ca_system_score_gemma":0.0012610573,"threshold_uncertainty_score":0.067010164},"labels":[],"label_agreement":null},{"id":"W4368351168","doi":"10.1016/j.jmoneco.2023.05.002","title":"Trade and diffusion of embodied technology: an empirical analysis","year":2023,"lang":"en","type":"article","venue":"Journal of Monetary Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Bank of Canada; University of Toronto","funders":"","keywords":"Embodied cognition; Production (economics); Economics; Construct (python library); Diffusion; Knowledge flow; Measure (data warehouse); Econometrics; Instrumental variable; Industrial organization; International trade; Business; Microeconomics; Computer science; Knowledge management; Data mining","score_opus":0.037908659642320694,"score_gpt":0.2397152295432958,"score_spread":0.20180656990097512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4368351168","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":[0.9885642,0.0013737804,0.0042004413,0.0004245683,0.000013342318,0.00004224624,0.0010055207,0.000051012903,0.0043247873],"genre_scores_gemma":[0.9950407,0.0009132342,0.00084823114,0.000034532542,0.00005011936,0.000035189627,0.00096615654,0.000020229552,0.0020916502],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991013,0.0003029846,0.00007538317,0.00017056723,0.0001764515,0.00017332964],"domain_scores_gemma":[0.9676321,0.024860546,0.004807482,0.0012759928,0.00082110224,0.0006028395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028277752,0.00051095075,0.00075865845,0.0047341688,0.0005310225,0.0028476908,0.0010439294,0.0012686434,0.012414497],"category_scores_gemma":[0.018154997,0.00037744842,0.0018853883,0.0073885606,0.0014317879,0.0026427512,0.0015060955,0.0016676775,0.0014722463],"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":[0.0006289971,0.0008328084,0.8497879,0.0004603162,0.0011131641,0.0023895884,0.0014590505,0.059922818,0.0012581088,0.03213642,0.002185592,0.04782521],"study_design_scores_gemma":[0.00019627206,0.000532897,0.6544634,0.00045642102,0.0010865362,0.0023847704,0.003172491,0.28805995,0.0025820658,0.035054885,0.011899866,0.00011049014],"about_ca_topic_score_codex":0.005664891,"about_ca_topic_score_gemma":0.0025444406,"teacher_disagreement_score":0.012414497,"about_ca_system_score_codex":0.001097755,"about_ca_system_score_gemma":0.0007644264,"threshold_uncertainty_score":0.04153061},"labels":[],"label_agreement":null},{"id":"W4376475980","doi":"10.4337/9780857933652.00033","title":"Index","year":2013,"lang":"en","type":"paratext","venue":"Edward Elgar Publishing eBooks","topic":"Economic Growth and Productivity","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":"Index (typography); Computer science; World Wide Web","score_opus":0.0315403648472932,"score_gpt":0.21123084488226132,"score_spread":0.17969048003496813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376475980","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00076260563,0.0014207173,0.0018071105,0.0033877476,0.0023120572,0.0005243124,0.13739999,0.0020440465,0.85034144],"genre_scores_gemma":[0.002389647,0.0013574705,0.0013663882,0.001250954,0.0006138206,0.00047857247,0.062910795,0.0005804647,0.92905194],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99818206,0.00021621861,0.00017065457,0.00026475088,0.0009699566,0.0001964921],"domain_scores_gemma":[0.99439055,0.00056341477,0.0002360854,0.00045056807,0.003801264,0.0005580882],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014697445,0.0009970702,0.00072936155,0.0056912876,0.001473348,0.0042486037,0.0014314224,0.0012688151,0.7119546],"category_scores_gemma":[0.0085567655,0.00043988758,0.00039439398,0.008563867,0.00033171728,0.003548285,0.0021118312,0.0013358715,0.6686406],"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":[0.000008984421,0.0000111043555,0.00020948467,0.00006320356,8.4409317e-7,0.0000053521794,0.00002648787,0.000017889035,0.000035972178,0.0018178462,0.965005,0.032797843],"study_design_scores_gemma":[0.0000034307914,0.000005773033,0.0006994257,0.000054713917,6.6782223e-7,0.000014863036,0.000050443872,0.00002296975,0.000030176529,0.0005250675,0.9985898,0.0000027008523],"about_ca_topic_score_codex":0.010013202,"about_ca_topic_score_gemma":0.009815233,"teacher_disagreement_score":0.2880454,"about_ca_system_score_codex":0.002326631,"about_ca_system_score_gemma":0.002981414,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4378227236","doi":"10.4236/ti.2023.142006","title":"Statistical Analysis of Effect of Population on Economic Growth in Uganda (2000-2020)","year":2023,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dependency ratio; Heteroscedasticity; Population growth; Regression analysis; Population; Economics; Fertility; Dependency (UML); Linear regression; Total fertility rate; Econometrics; Demography; Statistics; Mathematics; Family planning; Research methodology","score_opus":0.0113439476441742,"score_gpt":0.2269826636023901,"score_spread":0.2156387159582159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378227236","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":[0.948237,0.007174507,0.004638164,0.0009979904,0.0004940001,0.00029543843,0.030657034,0.00021820773,0.0072877076],"genre_scores_gemma":[0.9889313,0.0007425926,0.0013171766,0.00010035719,0.00006874149,0.00038932805,0.0065604164,0.000027882434,0.0018622233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959099,0.001669634,0.00040121423,0.00069683156,0.0008536046,0.00046882455],"domain_scores_gemma":[0.9925875,0.0037634326,0.0020256825,0.00041681464,0.0008239679,0.00038254823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057801288,0.0004240426,0.0007716512,0.0028304942,0.00029378454,0.0009402354,0.0005984263,0.00049422315,0.0037681926],"category_scores_gemma":[0.012378911,0.00021617107,0.0015743469,0.004761688,0.00051484496,0.000892747,0.0013657764,0.0017521874,0.0006487138],"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":[0.0005419731,0.00006191213,0.9745685,0.00046982212,0.0015170332,0.00033590922,0.00037062616,0.0016012349,0.00022227116,0.00052773394,0.0038011847,0.015981786],"study_design_scores_gemma":[0.00001871763,0.0006521028,0.98137385,0.0001711897,0.0004675081,0.00023731618,0.0012755323,0.0056992206,0.00044709892,0.00046868282,0.009157831,0.00003086051],"about_ca_topic_score_codex":0.005799221,"about_ca_topic_score_gemma":0.0032595233,"teacher_disagreement_score":0.005799221,"about_ca_system_score_codex":0.0005278325,"about_ca_system_score_gemma":0.00070584705,"threshold_uncertainty_score":0.0305686},"labels":[],"label_agreement":null},{"id":"W4378676818","doi":"10.51936/tip.60.1.109","title":"IMPACT OF DIGITALISATION AND INVESTMENTS IN INTANGIBLE CAPITAL ON THE NON-FINANCIAL PERFORMANCE OF FIRMS IN SLOVENIA","year":2023,"lang":"en","type":"article","venue":"Teorija in praksa","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Business; Investment (military); Capital (architecture); Value (mathematics); Industrial organization; Business administration","score_opus":0.02620968661722988,"score_gpt":0.2286918551742745,"score_spread":0.20248216855704462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378676818","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":[0.9976629,0.00028728973,0.000028393877,0.000072576455,0.0000028075617,0.0000025082074,0.00010805149,0.0000018841152,0.0018335709],"genre_scores_gemma":[0.999343,0.00013678806,0.000013707293,0.0000063319862,0.000002076805,0.0000010116695,0.00010181807,5.464068e-7,0.00039477987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992643,0.00017863586,0.000064785054,0.00007839298,0.0001202471,0.00029369668],"domain_scores_gemma":[0.995823,0.0012129258,0.0018027251,0.00015031156,0.00044059867,0.00057038316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078494044,0.00016813862,0.00022066841,0.001134912,0.00023164357,0.0019757582,0.00018386327,0.00022997175,0.0022705249],"category_scores_gemma":[0.0027845243,0.0000898657,0.00028825062,0.0016326002,0.00046872153,0.0006297766,0.00096193433,0.00051191525,0.0002436151],"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":[0.00020374655,0.00014876165,0.9747121,0.00008951405,0.000112287016,0.00066206994,0.0008106963,0.0031526336,0.00041250177,0.001489423,0.00068143045,0.017524831],"study_design_scores_gemma":[0.000002575228,0.00003798111,0.9977151,0.000024731471,0.000016217022,0.000045438148,0.0009305048,0.00038594386,0.0001404364,0.000065760294,0.0006317433,0.0000034201287],"about_ca_topic_score_codex":0.023591693,"about_ca_topic_score_gemma":0.019722456,"teacher_disagreement_score":0.023591693,"about_ca_system_score_codex":0.0016899212,"about_ca_system_score_gemma":0.00091190054,"threshold_uncertainty_score":0.046908736},"labels":[],"label_agreement":null},{"id":"W4379385094","doi":"10.1007/s10640-023-00778-2","title":"Green Innovation and Economic Growth in a North–South Model","year":2023,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Narodowym Centrum Nauki; European Commission; Narodowe Centrum Nauki; Vrije Universiteit Amsterdam; University of Ottawa; Horizon 2020 Framework Programme; World Bank Group","keywords":"Clean technology; Subsidy; Government (linguistics); Economics; Value (mathematics); Clean energy; Industrial organization; Business; Natural resource economics; Market economy; Computer science; Ecology","score_opus":0.018166168677013837,"score_gpt":0.1649713093522501,"score_spread":0.14680514067523626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379385094","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":[0.43607867,0.0022272335,0.20380448,0.04763486,0.000540894,0.00018722205,0.0015793367,0.0003839485,0.30756336],"genre_scores_gemma":[0.9574657,0.00091606245,0.0050248723,0.0007557411,0.000081166334,0.00010108011,0.00015928665,0.000049969753,0.035446193],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993812,0.00025218082,0.000017469492,0.00014160812,0.00005897276,0.0001485506],"domain_scores_gemma":[0.9983367,0.00067725056,0.00031672412,0.00009825737,0.00018083918,0.00039017704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014902778,0.0008157977,0.0012185966,0.0009796801,0.0015621656,0.0040931012,0.0014714524,0.0032785796,0.0131808715],"category_scores_gemma":[0.00296345,0.0005741688,0.0013912441,0.0010575751,0.0027888492,0.0035504606,0.0031334118,0.0024700416,0.0014902892],"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":[0.00019269637,0.0001549294,0.0032577687,0.00009139362,0.00007136447,0.0004708297,0.00031708,0.4369741,0.0008512658,0.54721016,0.004758736,0.0056495685],"study_design_scores_gemma":[0.00023620643,0.00010463699,0.0016397906,0.00007112672,0.000055055898,0.00014135567,0.00057477725,0.6554833,0.00016919704,0.32970268,0.011757967,0.00006379827],"about_ca_topic_score_codex":0.02086726,"about_ca_topic_score_gemma":0.010935528,"teacher_disagreement_score":0.02086726,"about_ca_system_score_codex":0.0033922393,"about_ca_system_score_gemma":0.0020451166,"threshold_uncertainty_score":0.044094443},"labels":[],"label_agreement":null},{"id":"W4380266996","doi":"10.1515/9780773585843-009","title":"Science and Technology in Canada: Innovation Gaps and Productivity Traps","year":2011,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Economic Growth and Productivity","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":"Productivity; Science, technology and society; Economic geography; Agricultural economics; Business; Natural resource economics; Economics; Sociology; Economic growth; Social science","score_opus":0.022210317814598726,"score_gpt":0.16663550114240971,"score_spread":0.14442518332781099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380266996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33640447,0.103966214,0.0019245703,0.25873756,0.00096560834,0.0000911407,0.00931574,0.00029715826,0.2882976],"genre_scores_gemma":[0.9060043,0.022589767,0.001249042,0.004247719,0.00014678843,0.000034530858,0.001175091,0.00007835333,0.06447432],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959145,0.00018779672,0.00010514167,0.00023343813,0.0017619669,0.0017970671],"domain_scores_gemma":[0.993451,0.0011535661,0.00038426084,0.00013687347,0.002730892,0.00214338],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0023995999,0.00038382527,0.0008251455,0.005004682,0.008517152,0.010150006,0.0015182246,0.0024295961,0.010044741],"category_scores_gemma":[0.00840817,0.00036898904,0.0005119904,0.0147624,0.0044946596,0.0037280787,0.0031684148,0.0029277047,0.00053004554],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031663475,0.00012762335,0.057303037,0.0005620613,0.000079549114,0.00043778223,0.013426309,0.004008516,0.00041606493,0.5070986,0.17563026,0.24059361],"study_design_scores_gemma":[0.00009397015,0.000088985435,0.30826074,0.0012773165,0.00010365847,0.00033497685,0.03778287,0.008071896,0.0008023895,0.12278832,0.5201873,0.00020768314],"about_ca_topic_score_codex":0.9947241,"about_ca_topic_score_gemma":0.9972441,"teacher_disagreement_score":0.9976004,"about_ca_system_score_codex":0.1339572,"about_ca_system_score_gemma":0.32313004,"threshold_uncertainty_score":0.9719321},"labels":[],"label_agreement":null},{"id":"W4380272284","doi":"10.58567/jea02040001","title":"Ways to improve cross-regional resource allocation: Does the development of digitalization matter?","year":2023,"lang":"en","type":"article","venue":"Journal of Economic Analysis","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Marketization; Openness to experience; The Internet; China; Resource (disambiguation); Urbanization; Business; Economics; Economic growth; Computer science; Political science","score_opus":0.03385955632214801,"score_gpt":0.246826308799425,"score_spread":0.21296675247727698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380272284","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":[0.57963437,0.033013087,0.052995674,0.09567249,0.00056124735,0.00029048292,0.00072884717,0.0005599479,0.2365438],"genre_scores_gemma":[0.984551,0.0044113966,0.0049443976,0.0016916967,0.00006710865,0.00005466071,0.00007496757,0.000042452477,0.0041623516],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99882525,0.00055650726,0.000041642226,0.0001706942,0.000102103615,0.00030375228],"domain_scores_gemma":[0.99728274,0.0008497148,0.00057705515,0.00027458128,0.0004895608,0.00052631216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021030318,0.00037631975,0.00048850465,0.0010382521,0.0006036161,0.0038256226,0.00081312057,0.00076536485,0.01177892],"category_scores_gemma":[0.0071784654,0.0001665592,0.0005294358,0.0020725785,0.0024200203,0.006795388,0.0025659672,0.0007893882,0.00080671255],"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":[0.00029926808,0.00048231528,0.09826326,0.0017116742,0.00059167814,0.00043340764,0.0020829702,0.020092692,0.002943683,0.3301663,0.01820544,0.5247273],"study_design_scores_gemma":[0.00035912902,0.00063664996,0.30884215,0.0028941853,0.0013263624,0.0004417135,0.026277473,0.039012507,0.011330291,0.3315361,0.27711597,0.00022752167],"about_ca_topic_score_codex":0.012290298,"about_ca_topic_score_gemma":0.0154316295,"teacher_disagreement_score":0.012290298,"about_ca_system_score_codex":0.002261467,"about_ca_system_score_gemma":0.0049691177,"threshold_uncertainty_score":0.039404392},"labels":[],"label_agreement":null},{"id":"W4380633936","doi":"10.2139/ssrn.4477978","title":"Climate Damages in Convergence-Consistent Growth Projections","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"University of Waterloo","funders":"","keywords":"Damages; Convergence (economics); Econometrics; Geography; Climatology; Economics; Political science; Law; Geology; Economic growth","score_opus":0.025569307703858336,"score_gpt":0.22474634089489298,"score_spread":0.19917703319103464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380633936","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":[0.82299495,0.0013019174,0.14208631,0.008812238,0.0005872327,0.00010285503,0.0026373647,0.00055540225,0.020921672],"genre_scores_gemma":[0.99378586,0.0003228632,0.0037736618,0.00014527417,0.000061696956,0.000031768388,0.0005028958,0.00009115229,0.001284772],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986546,0.0006337669,0.000071373746,0.0002906972,0.00017223207,0.00017717354],"domain_scores_gemma":[0.9912521,0.0055002426,0.0010109043,0.0006316794,0.0011759811,0.00042905041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071930657,0.00084319175,0.001182281,0.0011488512,0.00078379235,0.0025167933,0.0011585078,0.0029000717,0.0036372945],"category_scores_gemma":[0.03801188,0.0010971323,0.0010528263,0.0011790005,0.0013329587,0.0037233483,0.0026257995,0.0033171675,0.00035947215],"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":[0.00034243523,0.000032469372,0.01179404,0.00008734984,0.00011427922,0.00032217597,0.00013493278,0.88479364,0.00030705798,0.09089185,0.0031919254,0.007987861],"study_design_scores_gemma":[0.000053891938,0.000060396767,0.0075932187,0.00007756473,0.000054960838,0.00009143334,0.00018304249,0.79484606,0.00045709655,0.19490696,0.001619815,0.0000555514],"about_ca_topic_score_codex":0.009171628,"about_ca_topic_score_gemma":0.0062236367,"teacher_disagreement_score":0.009171628,"about_ca_system_score_codex":0.0016452693,"about_ca_system_score_gemma":0.002046611,"threshold_uncertainty_score":0.038040996},"labels":[],"label_agreement":null},{"id":"W4381145118","doi":"10.4018/978-1-6684-8397-8.ch008","title":"Technology Transfer Process in Brazil","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in human and social aspects of technology book series","topic":"Economic Growth and Productivity","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":"Technology transfer; Business; Process (computing); Industrial organization; Economic growth; International trade; Economics; Computer science","score_opus":0.014618085893038583,"score_gpt":0.23885890328651735,"score_spread":0.22424081739347876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381145118","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":[0.7649883,0.0064436225,0.0050235842,0.0036609934,0.000044275046,0.00022204423,0.00064124586,0.00011131276,0.21886456],"genre_scores_gemma":[0.9904274,0.0021350996,0.00090353057,0.0000977448,0.0000127151225,0.000049370345,0.00018333129,0.00001251489,0.0061782273],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99907243,0.000200298,0.00006127742,0.000117537296,0.00027602716,0.0002723068],"domain_scores_gemma":[0.998448,0.00059513416,0.00037609096,0.00009652485,0.00036213323,0.0001220399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012509961,0.00025748988,0.0002035294,0.004151849,0.0012625001,0.0028693967,0.0004391027,0.0006656671,0.0047401083],"category_scores_gemma":[0.006605695,0.0001761667,0.0004443092,0.0047799107,0.0011212961,0.002898652,0.002183347,0.00050036784,0.00055385823],"study_design_candidate":"qualitative","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":[0.00012820766,0.00022390272,0.15639995,0.0010964589,0.00005827696,0.0041107503,0.056838978,0.008069763,0.004918915,0.35810283,0.0056972164,0.40435475],"study_design_scores_gemma":[0.00005433169,0.00032649108,0.41197065,0.0021064032,0.00015661088,0.003631914,0.07281974,0.013088547,0.0058486736,0.058758497,0.43114647,0.000091598864],"about_ca_topic_score_codex":0.04163529,"about_ca_topic_score_gemma":0.02189515,"teacher_disagreement_score":0.04163529,"about_ca_system_score_codex":0.0068625757,"about_ca_system_score_gemma":0.005534477,"threshold_uncertainty_score":0.082785845},"labels":[],"label_agreement":null},{"id":"W4384569771","doi":"10.2139/ssrn.4512505","title":"Moonshot: Public R&amp;D and Growth","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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 Calgary","funders":"","keywords":"Business","score_opus":0.03680483188908591,"score_gpt":0.21622549067451408,"score_spread":0.17942065878542818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384569771","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012191896,0.062540166,0.0039097145,0.5018216,0.08192775,0.000041520376,0.020369973,0.002737943,0.3144595],"genre_scores_gemma":[0.21737203,0.033064626,0.001603259,0.04304554,0.04847977,0.000057699654,0.0072354674,0.0013020632,0.64783955],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99939764,0.00010132187,0.000034367855,0.000106744854,0.00028146253,0.0000785147],"domain_scores_gemma":[0.9943242,0.0018024321,0.0006210875,0.00027727103,0.001646719,0.0013282179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076415145,0.00066374004,0.001211689,0.003656668,0.0011920962,0.008887793,0.00072300585,0.004535643,0.21815024],"category_scores_gemma":[0.008815778,0.00022934309,0.0004156667,0.0055798087,0.0007659168,0.0062603727,0.00254453,0.0026453515,0.041928265],"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":[0.00007744664,0.000022416478,0.001396109,0.00010617559,0.000016506285,0.0000982254,0.000041357533,0.000102798556,0.000052728614,0.014816756,0.9495254,0.033744108],"study_design_scores_gemma":[0.00011379904,0.00010795733,0.012897312,0.0009673805,0.00015354984,0.0002893392,0.001180299,0.0021737486,0.00065907487,0.100095294,0.8812432,0.00011911851],"about_ca_topic_score_codex":0.00644795,"about_ca_topic_score_gemma":0.012040369,"teacher_disagreement_score":0.21815024,"about_ca_system_score_codex":0.0012476012,"about_ca_system_score_gemma":0.001670107,"threshold_uncertainty_score":0.72978526},"labels":[],"label_agreement":null},{"id":"W4385212501","doi":"10.5465/amproc.2023.10645symposium","title":"Insights on the Determinants of Scientific Knowledge Production","year":2023,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Production (economics); Knowledge production; Data science; Knowledge management; Computer science; Business; Economics","score_opus":0.0698446543620156,"score_gpt":0.256655118988918,"score_spread":0.18681046462690243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385212501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6101119,0.008492265,0.037409723,0.07770045,0.00022057613,0.00027897838,0.0012146095,0.0001610699,0.26441047],"genre_scores_gemma":[0.9939406,0.0016778474,0.0020737515,0.0003680234,0.00009031686,0.000072697985,0.00015224853,0.000024863586,0.0015996562],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.97855514,0.010843865,0.0012912005,0.0020411483,0.0047541154,0.0025145395],"domain_scores_gemma":[0.7669949,0.1929393,0.01615705,0.010132551,0.008755919,0.0050202888],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02657146,0.00056057103,0.0008646367,0.0080683315,0.0029137642,0.018739205,0.0016820271,0.0018666124,0.011197855],"category_scores_gemma":[0.11053987,0.00079087826,0.0009972873,0.009404292,0.0109573705,0.01523966,0.008148746,0.002879194,0.0013821588],"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":[0.00022174636,0.00043979118,0.2996714,0.00056543486,0.00019689811,0.00087926455,0.025956327,0.0049249604,0.00087322947,0.5756611,0.0033949574,0.08721472],"study_design_scores_gemma":[0.00007663867,0.00011755842,0.20431137,0.0005252326,0.00011503862,0.00033439268,0.031390492,0.0071777166,0.0014678814,0.7210024,0.033402957,0.00007818871],"about_ca_topic_score_codex":0.0046673263,"about_ca_topic_score_gemma":0.003395044,"teacher_disagreement_score":0.97342855,"about_ca_system_score_codex":0.006646884,"about_ca_system_score_gemma":0.008591641,"threshold_uncertainty_score":0.14052504},"labels":[],"label_agreement":null},{"id":"W4385358704","doi":"10.1016/j.econlet.2023.111276","title":"Spatial spillovers and labor productivity convergence in Canada","year":2023,"lang":"en","type":"article","venue":"Economics Letters","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"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":"Convergence (economics); Productivity; Economics; Economic geography; Spatial mismatch; Labour economics; Macroeconomics","score_opus":0.013999376597101192,"score_gpt":0.16616583859375728,"score_spread":0.1521664619966561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385358704","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":[0.9839086,0.0013175891,0.0024470722,0.0011262287,0.000016445016,0.000020373458,0.0015445077,0.000058465677,0.009560695],"genre_scores_gemma":[0.99739635,0.00037398987,0.00056965573,0.00002957224,0.0000029621167,0.0000045085203,0.0003640569,0.00000857282,0.0012502976],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934703,0.00009243805,0.000024970592,0.00009419544,0.00016493029,0.0002763976],"domain_scores_gemma":[0.9972594,0.0005767286,0.00036014445,0.0001246378,0.0014403464,0.00023879421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001431186,0.0002868467,0.00046108893,0.00197549,0.0019876787,0.0013635058,0.000665492,0.00028859294,0.0027516491],"category_scores_gemma":[0.0059218607,0.00019303767,0.00065929064,0.0036481475,0.0010131969,0.00059314765,0.0012652478,0.00054529274,0.00016695641],"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":[0.0003840581,0.00007253268,0.7735283,0.00017221067,0.0003542142,0.00060947234,0.003218597,0.11462816,0.00059250655,0.04070303,0.0062015303,0.059535407],"study_design_scores_gemma":[0.000042878844,0.000042861062,0.8676516,0.00017238499,0.00020431202,0.000097913464,0.0043823896,0.11049663,0.0006749615,0.007495764,0.008670137,0.00006819035],"about_ca_topic_score_codex":0.9937232,"about_ca_topic_score_gemma":0.991413,"teacher_disagreement_score":0.031908147,"about_ca_system_score_codex":0.031908147,"about_ca_system_score_gemma":0.029709907,"threshold_uncertainty_score":0.23151088},"labels":[],"label_agreement":null},{"id":"W4385758390","doi":"10.1515/bejm-2022-0163","title":"Open Economy Neoclassical Growth Models and the Role of Life Expectancy","year":2023,"lang":"en","type":"article","venue":"The B E Journal of Macroeconomics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Economics; Life expectancy; Per capita; Open economy; Convergence (economics); Small open economy; Counterfactual thinking; Growth model; Consumption (sociology); Overlapping generations model; Econometrics; Human capital; Macroeconomics; Monetary policy; Exchange rate; Population; Economic growth","score_opus":0.03296602089054822,"score_gpt":0.21957708633144798,"score_spread":0.18661106544089978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385758390","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":[0.4532918,0.00731189,0.41663438,0.013098509,0.00047962053,0.000068910216,0.0010844456,0.000457202,0.10757327],"genre_scores_gemma":[0.9857943,0.0016014171,0.004671957,0.00013508857,0.000066227665,0.00003764782,0.00013169761,0.000031832184,0.0075296722],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996909,0.00013742379,0.000012200126,0.000056045752,0.000047880123,0.00005562907],"domain_scores_gemma":[0.9969584,0.0015921808,0.0005869084,0.00017837361,0.00036218757,0.00032195036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017650855,0.0005021732,0.0004856761,0.00094496884,0.00043762845,0.0019445264,0.00081514416,0.00096042646,0.0039915293],"category_scores_gemma":[0.006599778,0.00024467983,0.00065395545,0.0008954539,0.0018154598,0.0021557051,0.0012484126,0.0012972868,0.0004548667],"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":[0.000043929023,0.000036876274,0.0029172176,0.000069165966,0.000026364842,0.00016890412,0.00025280105,0.22351688,0.00023386454,0.75976866,0.0020622213,0.010903123],"study_design_scores_gemma":[0.00001541728,0.000032011674,0.0014895623,0.000047774192,0.000018186622,0.00005802826,0.00013545531,0.3433779,0.00010483969,0.64994663,0.0047539426,0.000020179923],"about_ca_topic_score_codex":0.0077222562,"about_ca_topic_score_gemma":0.003844601,"teacher_disagreement_score":0.0077222562,"about_ca_system_score_codex":0.0023369384,"about_ca_system_score_gemma":0.0010343962,"threshold_uncertainty_score":0.016955733},"labels":[],"label_agreement":null},{"id":"W4386052193","doi":"10.1111/ijet.12389","title":"Population control, technology, and economic growth","year":2023,"lang":"en","type":"article","venue":"International Journal of Economic Theory","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"","keywords":"Economics; China; Population control; Population; Technological change; Per capita; Population growth; Control (management); Per capita income; General equilibrium theory; Population size; Econometrics; Demographic economics; Macroeconomics; Development economics; Research methodology; Geography; Demography","score_opus":0.013339530171778741,"score_gpt":0.23019513237857653,"score_spread":0.21685560220679778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386052193","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":[0.9610929,0.0017493705,0.008029162,0.0023782952,0.00003791635,0.000033786433,0.00023934864,0.000055717483,0.026383543],"genre_scores_gemma":[0.9987337,0.00035569922,0.00016903342,0.000027046817,0.000009077737,0.0000054589013,0.000024130866,0.0000018667838,0.0006740828],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99980265,0.00006245039,0.000007988757,0.000028828325,0.000032152315,0.000065947424],"domain_scores_gemma":[0.9990103,0.0004664392,0.0002790785,0.000048674443,0.00012712265,0.00006841461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008882941,0.0002882363,0.00030837805,0.0007965284,0.0003487432,0.0011441152,0.00022841475,0.00031470758,0.0030164032],"category_scores_gemma":[0.0023388346,0.0000904041,0.00033145363,0.00075973396,0.0010238283,0.0007520796,0.000593006,0.00042138327,0.00010694088],"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":[0.00020133947,0.00023783457,0.13852222,0.00020843314,0.00018248509,0.00048157992,0.00034548438,0.4469944,0.003950961,0.36661908,0.0022012147,0.040054988],"study_design_scores_gemma":[0.00012800733,0.00042363792,0.24376541,0.00015634713,0.00022745813,0.00016434226,0.0007520144,0.5388938,0.0041483454,0.19861752,0.01265266,0.00007045384],"about_ca_topic_score_codex":0.017206987,"about_ca_topic_score_gemma":0.008305148,"teacher_disagreement_score":0.017206987,"about_ca_system_score_codex":0.0021655303,"about_ca_system_score_gemma":0.0014776342,"threshold_uncertainty_score":0.034213662},"labels":[],"label_agreement":null},{"id":"W4386095337","doi":"10.21203/rs.3.rs-3235751/v1","title":"Financial Development, Technology Adoption, and Sectoral Productivity Convergence","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Convergence (economics); Productivity; Frontier; Economics; Conditional convergence; Divergence (linguistics); Aggregate (composite); Order (exchange); Construct (python library); Economic geography; Finance; Macroeconomics; Geography","score_opus":0.14102640335533984,"score_gpt":0.3294706779610581,"score_spread":0.18844427460571828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386095337","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":[0.9742803,0.00093290454,0.011194833,0.001041505,0.000016150125,0.00003212038,0.0008139006,0.00008226111,0.011605917],"genre_scores_gemma":[0.998178,0.00030974715,0.00053352996,0.000024051862,0.00000870835,0.000008588683,0.00022200732,0.0000048775396,0.0007105996],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994685,0.0001669162,0.000032296277,0.00009562348,0.00007711156,0.00015957573],"domain_scores_gemma":[0.99284077,0.0031043806,0.00265319,0.00039291693,0.00053190714,0.0004768076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023948322,0.00032873687,0.0004455519,0.0023397496,0.0003716826,0.0024820913,0.00034287758,0.0005417854,0.0053498545],"category_scores_gemma":[0.009839384,0.0001644882,0.00048253912,0.0031859705,0.0010807861,0.0017838937,0.0014028102,0.0008283668,0.00055835804],"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":[0.0004173979,0.00022841741,0.62852794,0.00021109248,0.00023133661,0.00071028183,0.00067833054,0.2206026,0.0015159803,0.08664542,0.0032983576,0.056932908],"study_design_scores_gemma":[0.000113418224,0.0004113183,0.53122336,0.00024169456,0.00016579311,0.0006074584,0.0017232237,0.33892554,0.0028604076,0.11384456,0.00979515,0.00008806475],"about_ca_topic_score_codex":0.0053298385,"about_ca_topic_score_gemma":0.0026588216,"teacher_disagreement_score":0.0053498545,"about_ca_system_score_codex":0.0015523089,"about_ca_system_score_gemma":0.00078002474,"threshold_uncertainty_score":0.01789701},"labels":[],"label_agreement":null},{"id":"W4386337556","doi":"10.2139/ssrn.4542861","title":"The New Economics of Industrial Policy","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"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 British Columbia; University of British Columbia Hospital","funders":"","keywords":"Economics; Industrial policy; Public economics; Industrial organization; International trade","score_opus":0.03309607707401662,"score_gpt":0.22497299013203845,"score_spread":0.19187691305802182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386337556","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011020705,0.115156054,0.032742795,0.31139827,0.011353097,0.00005082126,0.0005834274,0.00017866954,0.51751626],"genre_scores_gemma":[0.6071331,0.10754899,0.009126314,0.025514726,0.04199842,0.00034406708,0.00035021923,0.00015055173,0.20783357],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99846196,0.0008005314,0.000051910487,0.00016569885,0.00042888668,0.000091059184],"domain_scores_gemma":[0.99615115,0.002520184,0.000330758,0.00048058384,0.00030416707,0.00021320136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026076771,0.0005623078,0.0008940933,0.00217346,0.0011160792,0.008621069,0.0009235787,0.004548715,0.01517568],"category_scores_gemma":[0.007888834,0.0004765638,0.00047008964,0.003215677,0.00863995,0.011970564,0.0018498314,0.0051400256,0.0019027367],"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":[0.000004597489,0.000009413171,0.00014568763,0.000022196044,0.000003644312,0.000017926577,0.000058162652,0.00036397483,0.000012093968,0.9821125,0.011411264,0.005838579],"study_design_scores_gemma":[0.000009422773,0.0000034676941,0.00017401842,0.000040693005,0.0000027894173,0.000020321595,0.00008400709,0.0005451538,0.000009236625,0.9314049,0.06770178,0.0000041757035],"about_ca_topic_score_codex":0.0027411936,"about_ca_topic_score_gemma":0.002849503,"teacher_disagreement_score":0.01517568,"about_ca_system_score_codex":0.004351601,"about_ca_system_score_gemma":0.0030507066,"threshold_uncertainty_score":0.05076766},"labels":[],"label_agreement":null},{"id":"W4386442022","doi":"10.1017/s1474745623000034","title":"North–South Trade-Related Technology Diffusion and the East Asia–Latin America Productivity Gap","year":2023,"lang":"en","type":"article","venue":"World Trade Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"Universidad de Chile; Nankai University","keywords":"Total factor productivity; Latin Americans; East Asia; Productivity; Economics; Corporate governance; International trade; Geography; Development economics; Economic geography; International economics; China; Economic growth; Political science","score_opus":0.03617283589381554,"score_gpt":0.21586617260282465,"score_spread":0.1796933367090091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386442022","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":[0.9349129,0.010880515,0.0013535887,0.0027140873,0.000049770933,0.000009594509,0.0010004503,0.000057030287,0.04902198],"genre_scores_gemma":[0.99459475,0.003056652,0.00026287048,0.00010648809,0.000044345652,0.0000069996718,0.0004174429,0.000008467875,0.0015020279],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976367,0.00006585015,0.00001763513,0.000046429515,0.00003995518,0.00006646048],"domain_scores_gemma":[0.9976801,0.0007335284,0.00087065675,0.00010885473,0.00040703802,0.00019981353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009241205,0.00018798964,0.00025932855,0.0017680933,0.00023763596,0.0017217039,0.00015554155,0.00019395389,0.0043473057],"category_scores_gemma":[0.002585595,0.00006161416,0.00043587747,0.0033038526,0.0004201853,0.00095962937,0.0009829224,0.00044636702,0.00038248402],"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":[0.0002671793,0.00007733467,0.82271177,0.00047615668,0.0006045023,0.00080583355,0.003072323,0.005828127,0.0022923728,0.058418024,0.0048588575,0.10058749],"study_design_scores_gemma":[0.00002989104,0.00006038185,0.9476942,0.00035731113,0.00021486645,0.00039824934,0.0055213356,0.003369246,0.0009865136,0.012259851,0.029091032,0.000017077804],"about_ca_topic_score_codex":0.01582142,"about_ca_topic_score_gemma":0.007850171,"teacher_disagreement_score":0.01582142,"about_ca_system_score_codex":0.00065573317,"about_ca_system_score_gemma":0.0006768945,"threshold_uncertainty_score":0.031458676},"labels":[],"label_agreement":null},{"id":"W4386533250","doi":"10.1007/s11123-023-00701-3","title":"Alternative output, input and income concepts for the production accounts","year":2023,"lang":"en","type":"article","venue":"Journal of Productivity Analysis","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"King's College London","keywords":"Production (economics); Economics; Productivity; National accounts; Key (lock); Unit (ring theory); Aggregate (composite); Measures of national income and output; Econometrics; Public economics; Microeconomics; Macroeconomics; Computer science; Mathematics","score_opus":0.04819414146061005,"score_gpt":0.27595399709404456,"score_spread":0.2277598556334345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386533250","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":[0.057833716,0.05726461,0.6188135,0.018629795,0.003874419,0.00038652535,0.006799584,0.0005115543,0.23588628],"genre_scores_gemma":[0.7496251,0.025168698,0.1954482,0.001334372,0.0033748697,0.00219523,0.0032586874,0.00043636197,0.019158581],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9932597,0.0035095778,0.00060929824,0.00053708674,0.0017088631,0.00037541174],"domain_scores_gemma":[0.9883996,0.0067235557,0.0014773263,0.0009971205,0.0020341608,0.0003681944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00900857,0.0017158099,0.0012780854,0.013434966,0.001989793,0.01559275,0.0024772214,0.002420809,0.006706788],"category_scores_gemma":[0.016385961,0.0007009118,0.0017897913,0.015316002,0.0081939725,0.015832413,0.0031472116,0.006521016,0.0010689592],"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":[0.000018643588,0.0000087805865,0.0004216159,0.00008247453,0.00000941459,0.00003807636,0.00029892282,0.0012510252,0.00006257086,0.9905066,0.0018041886,0.0054978724],"study_design_scores_gemma":[0.00001541979,0.000040040697,0.0022949798,0.000641675,0.000048798513,0.00018075187,0.00083933584,0.009164904,0.00038372903,0.8650714,0.12125452,0.00006438118],"about_ca_topic_score_codex":0.003182473,"about_ca_topic_score_gemma":0.0024538871,"teacher_disagreement_score":0.01559275,"about_ca_system_score_codex":0.0063576484,"about_ca_system_score_gemma":0.0027907768,"threshold_uncertainty_score":0.04764247},"labels":[],"label_agreement":null},{"id":"W4386831855","doi":"10.2139/ssrn.4574625","title":"Estimating the Effects of Government Spending Through the Production Network","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"HEC Montréal","funders":"","keywords":"Production (economics); Government spending; Government (linguistics); Business; Economics; Public economics; Econometrics; Microeconomics; Welfare; Market economy","score_opus":0.015234108795525933,"score_gpt":0.21555121472689193,"score_spread":0.20031710593136598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386831855","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":[0.9899478,0.00038559886,0.0043136906,0.0005922236,0.00003156612,0.000021932941,0.0013265692,0.00006693314,0.0033137186],"genre_scores_gemma":[0.9955909,0.00025379792,0.0010463814,0.000025231744,0.000027128428,0.00001527047,0.00095756765,0.000012681173,0.002070909],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989247,0.0006628389,0.00003132808,0.0001835349,0.000056969784,0.00014066162],"domain_scores_gemma":[0.97496945,0.022384703,0.0012281535,0.00061648904,0.0004161438,0.000385063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028983073,0.0006530823,0.0007682102,0.0011542602,0.00026695363,0.0017200771,0.0007728331,0.0010394799,0.0068537416],"category_scores_gemma":[0.017561525,0.0006038864,0.0006787718,0.0018673064,0.00051087356,0.0015289037,0.0007559385,0.0016313018,0.00072897685],"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":[0.002235839,0.00076243695,0.29835865,0.00013576666,0.0005962197,0.00021133057,0.0001169187,0.6533687,0.0009728355,0.0069144396,0.0023110167,0.034015827],"study_design_scores_gemma":[0.00024151597,0.0005368813,0.16355842,0.000047077458,0.000534453,0.000048087353,0.00033199487,0.8209532,0.0016224238,0.009908634,0.0021759209,0.000041386225],"about_ca_topic_score_codex":0.0443718,"about_ca_topic_score_gemma":0.04134468,"teacher_disagreement_score":0.0443718,"about_ca_system_score_codex":0.0018036703,"about_ca_system_score_gemma":0.001082258,"threshold_uncertainty_score":0.08822703},"labels":[],"label_agreement":null},{"id":"W4386840503","doi":"10.3386/w31680","title":"Estimating the Effects of Government Spending Through the Production Network","year":2023,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Production (economics); Government spending; Government (linguistics); Business; Economics; Econometrics; Macroeconomics; Welfare","score_opus":0.36753083132705017,"score_gpt":0.4536098815329569,"score_spread":0.08607905020590673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386840503","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":[0.9801354,0.00021411877,0.00962886,0.00037395098,0.00001645884,0.00005260258,0.0049226633,0.00012113897,0.0045348187],"genre_scores_gemma":[0.9892169,0.00025261688,0.0033291813,0.000051447885,0.000013938616,0.000058437246,0.0038088816,0.000019981839,0.003248674],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992205,0.0003645385,0.00003134414,0.00018491024,0.00007855246,0.00012026706],"domain_scores_gemma":[0.99683505,0.0018996798,0.00067039026,0.00029934364,0.00018231169,0.000113314825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010816942,0.00042023134,0.00048722347,0.001046025,0.0002216403,0.0011775582,0.00041123177,0.00047515085,0.0062575163],"category_scores_gemma":[0.0057187933,0.00040843678,0.0008094284,0.0021554243,0.00041914076,0.0008358422,0.0010727758,0.00098595,0.0006801841],"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":[0.00037832526,0.00029102218,0.4447122,0.00009674815,0.0006260936,0.00020085988,0.00016597251,0.51736593,0.0011819057,0.0101761045,0.0026112036,0.022193708],"study_design_scores_gemma":[0.00013395972,0.0003686527,0.43355343,0.00007715282,0.00045000442,0.000089769215,0.000671776,0.53648305,0.002889452,0.015013207,0.010209058,0.000060559847],"about_ca_topic_score_codex":0.041987482,"about_ca_topic_score_gemma":0.032638405,"teacher_disagreement_score":0.041987482,"about_ca_system_score_codex":0.0013532019,"about_ca_system_score_gemma":0.00083100225,"threshold_uncertainty_score":0.08348614},"labels":[],"label_agreement":null},{"id":"W4387466013","doi":"10.2139/ssrn.4592962","title":"Industrial Policy and the Great Divergence","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","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":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Economics; Political science; Economic geography","score_opus":0.03398933814606671,"score_gpt":0.2224341122414141,"score_spread":0.18844477409534738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387466013","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23962717,0.026980417,0.003835943,0.40111613,0.0018739073,0.000018551671,0.0005395177,0.00013997869,0.3258685],"genre_scores_gemma":[0.97376597,0.0026503936,0.0004054847,0.009606192,0.0009371489,0.000013193665,0.000072100156,0.000037368627,0.012512269],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99916494,0.00024283004,0.000030800853,0.00019743205,0.00015605369,0.00020795624],"domain_scores_gemma":[0.9982899,0.0006664172,0.00019903142,0.00024010842,0.00019977878,0.00040484287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023894487,0.00019861742,0.0005537437,0.0012114794,0.0019070231,0.0052353786,0.00039904285,0.0039561493,0.008644153],"category_scores_gemma":[0.0069338894,0.00014154261,0.00029666562,0.0017346464,0.005792528,0.004770552,0.0039953017,0.0051547256,0.00088727934],"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":[0.0001244063,0.000032324617,0.0026242735,0.000036105346,0.000016166832,0.00018703655,0.0009333154,0.0004894732,0.00017261371,0.95024836,0.018104153,0.027031897],"study_design_scores_gemma":[0.000043837073,0.00001464737,0.006568539,0.0000840979,0.0000069125435,0.00013904886,0.000985565,0.00038696028,0.00009061519,0.92462903,0.06703899,0.000011724771],"about_ca_topic_score_codex":0.0024307303,"about_ca_topic_score_gemma":0.0023197157,"teacher_disagreement_score":0.008644153,"about_ca_system_score_codex":0.003721143,"about_ca_system_score_gemma":0.0017527839,"threshold_uncertainty_score":0.02891761},"labels":[],"label_agreement":null},{"id":"W4387475715","doi":"10.2139/ssrn.4565202","title":"Firm Innovation and the Transmission of Monetary Policy","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Kingston Process Metallurgy (Canada); York University","funders":"","keywords":"Business; Monetary policy; Industrial organization; Transmission (telecommunications); Monetary economics; Financial system; Economics; Telecommunications; Computer science","score_opus":0.01562644950433957,"score_gpt":0.21636210592748287,"score_spread":0.20073565642314328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387475715","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":[0.9154432,0.005990639,0.017486757,0.01571111,0.00032332054,0.0000322002,0.0005777168,0.00022683246,0.044208206],"genre_scores_gemma":[0.9964669,0.001044735,0.0002839701,0.000098089724,0.00012241528,0.0000045100187,0.0000441768,0.0000070685505,0.0019282234],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930084,0.000297313,0.000048508173,0.000121884776,0.000086829525,0.00014459688],"domain_scores_gemma":[0.97139275,0.020538623,0.005535705,0.00094069104,0.00089266617,0.0006995247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025920898,0.00029257484,0.00067851215,0.0019485191,0.0005857889,0.004447273,0.0006440876,0.0023906515,0.008465788],"category_scores_gemma":[0.02907705,0.0003842113,0.00042480684,0.0015790119,0.0013392708,0.0024608383,0.0011808606,0.001728964,0.00074457546],"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":[0.0014623103,0.0005189895,0.12031145,0.0003706056,0.0005063078,0.0025547424,0.0021336451,0.12608626,0.0038808237,0.60265255,0.013097037,0.12642527],"study_design_scores_gemma":[0.00031729293,0.00031442498,0.12431185,0.00024673794,0.0004158375,0.0005721437,0.0016899534,0.18311834,0.0017614412,0.6755548,0.011516648,0.0001805545],"about_ca_topic_score_codex":0.0064622615,"about_ca_topic_score_gemma":0.0030193646,"teacher_disagreement_score":0.008465788,"about_ca_system_score_codex":0.0018319337,"about_ca_system_score_gemma":0.000691613,"threshold_uncertainty_score":0.028320909},"labels":[],"label_agreement":null},{"id":"W4387636196","doi":"10.1787/9789264169166-graph6-en","title":"Canadian space sector revenues by activity sector and employment, 1996-2008","year":2012,"lang":"en","type":"other","venue":"","topic":"Economic Growth and Productivity","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":"Revenue; Space (punctuation); Business; Labour economics; Finance; Economics; Computer science; Operating system","score_opus":0.024421250761834424,"score_gpt":0.19640308594371836,"score_spread":0.17198183518188392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387636196","genre_codex":"dataset","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":[0.019899162,0.00432146,0.00023707608,0.0021684067,0.00016652315,0.000105999985,0.90472615,0.00045164136,0.06792363],"genre_scores_gemma":[0.11905194,0.013834474,0.001846149,0.0005455031,0.000115588504,0.00019375882,0.4537862,0.00028568952,0.41034076],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99860233,0.00002642484,0.000053719305,0.000103165214,0.0008635619,0.00035089368],"domain_scores_gemma":[0.99568766,0.00011812833,0.00029647964,0.00009327385,0.003421728,0.00038269928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005978149,0.0011828352,0.00058774435,0.008701269,0.002765817,0.0023512759,0.0020379198,0.0005689787,0.031956274],"category_scores_gemma":[0.0046554725,0.0006718548,0.0010709465,0.02276636,0.00057371665,0.0011563363,0.0010755458,0.000998247,0.005483613],"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":[0.00015367904,0.000046468274,0.033836465,0.0005097206,0.00008377389,0.00008721431,0.0002686513,0.001666468,0.00009274013,0.005532936,0.9172764,0.040445477],"study_design_scores_gemma":[0.00006820101,0.000020028394,0.3046102,0.00038240833,0.00007792522,0.000103582955,0.001161145,0.0011540112,0.0005892528,0.0005824739,0.6911765,0.000074249336],"about_ca_topic_score_codex":0.99834335,"about_ca_topic_score_gemma":0.9990779,"teacher_disagreement_score":0.06999661,"about_ca_system_score_codex":0.06999661,"about_ca_system_score_gemma":0.122370966,"threshold_uncertainty_score":0.50786334},"labels":[],"label_agreement":null},{"id":"W4387756407","doi":"10.1007/978-3-031-40139-8_8","title":"The Age of Innovation: More Schumpeter than Keynes","year":2023,"lang":"en","type":"book-chapter","venue":"Palgrave studies in the history of economic thought","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"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; Creative destruction; Business cycle; Unemployment; Neoclassical economics; Innovation economics; Evolutionary economics; Keynesian economics; Quarter (Canadian coin); Depression (economics); Great Depression; Macroeconomics; Political science","score_opus":0.12297126680858528,"score_gpt":0.2716721963923574,"score_spread":0.14870092958377212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387756407","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0059622717,0.18096505,0.009293047,0.18925157,0.010053916,0.000035431418,0.00016471618,0.00009530723,0.60417867],"genre_scores_gemma":[0.26739144,0.12266144,0.0060189506,0.035132833,0.01674376,0.00013776791,0.00013147299,0.0004757984,0.5513065],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989987,0.00043548446,0.00003078287,0.00021541379,0.0002135343,0.000106166925],"domain_scores_gemma":[0.99877495,0.0007376667,0.00008957143,0.000114034614,0.00017430956,0.00010954163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015865482,0.0008469873,0.00072646746,0.0015580909,0.0021166943,0.0074454504,0.0005692692,0.0030571192,0.01317309],"category_scores_gemma":[0.004056048,0.00034417544,0.00026753204,0.0028538394,0.010923358,0.019083844,0.0022204323,0.005725614,0.0034914766],"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":[0.000013787106,0.000007067883,0.00004830547,0.000030093512,0.0000014480622,0.000018481167,0.0010184214,0.00004810485,0.000025873367,0.95066756,0.038520295,0.009600618],"study_design_scores_gemma":[0.000006655862,0.000011268713,0.00007934699,0.00012742357,0.000001736388,0.000045653785,0.0005744175,0.00010316595,0.000056473265,0.4668539,0.53213274,0.0000071934915],"about_ca_topic_score_codex":0.002761239,"about_ca_topic_score_gemma":0.0035561773,"teacher_disagreement_score":0.01317309,"about_ca_system_score_codex":0.0037217159,"about_ca_system_score_gemma":0.0029350952,"threshold_uncertainty_score":0.044068396},"labels":[],"label_agreement":null},{"id":"W4387885895","doi":"10.2139/ssrn.4603071","title":"Do Managers Time Patent Filings?","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Kingston Process Metallurgy (Canada); York University","funders":"","keywords":"Business; Industrial organization; Accounting","score_opus":0.027392617120746008,"score_gpt":0.20060910355244777,"score_spread":0.17321648643170176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387885895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9274914,0.002410252,0.0010756814,0.025405172,0.0004685231,0.000041003364,0.0006603927,0.000090777976,0.04235669],"genre_scores_gemma":[0.9910528,0.0005872305,0.00023511755,0.0018189618,0.0004944547,0.000019376343,0.00018397706,0.000018879535,0.0055892225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974753,0.0007850173,0.00021342716,0.0002908453,0.00056165986,0.00067380484],"domain_scores_gemma":[0.86324507,0.044119082,0.07494853,0.0024836403,0.005014695,0.010189109],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.004972061,0.0001615418,0.0002062944,0.001468126,0.0007381847,0.0034977067,0.0006002631,0.0023728972,0.03226491],"category_scores_gemma":[0.090405785,0.00032889546,0.00024793844,0.00068069604,0.00079225,0.0035726842,0.0006393133,0.0013358631,0.0055765104],"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":[0.00094205997,0.0008369035,0.8466804,0.00011941721,0.00014235413,0.00044311307,0.0033384864,0.00025369602,0.0010236546,0.0040611126,0.030125117,0.11203369],"study_design_scores_gemma":[0.00027108646,0.00090052537,0.9329919,0.00023667209,0.00016066717,0.0011750924,0.011263145,0.0014485712,0.001429364,0.009427517,0.040613692,0.00008181228],"about_ca_topic_score_codex":0.0021770194,"about_ca_topic_score_gemma":0.004721048,"teacher_disagreement_score":0.9985319,"about_ca_system_score_codex":0.000877449,"about_ca_system_score_gemma":0.0015628069,"threshold_uncertainty_score":0.10793692},"labels":[],"label_agreement":null},{"id":"W4387892226","doi":"10.1787/55eee0b3-en","title":"Labour productivity in Japan is more than a quarter below the top half of OECD countries","year":2019,"lang":"en","type":"other","venue":"OECD economic surveys. Japan","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Productivity; Agricultural economics; Economics; Business; Demographic economics; Labour economics; Geography; Economic growth; Archaeology","score_opus":0.017469832116359704,"score_gpt":0.21587160218399018,"score_spread":0.1984017700676305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387892226","genre_codex":"dataset","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":[0.23082937,0.039390948,0.0017083596,0.0117442105,0.0029979814,0.0001202621,0.41862807,0.0017351243,0.2928457],"genre_scores_gemma":[0.35962835,0.042153895,0.002076279,0.001382602,0.0014094263,0.00027720252,0.279118,0.0005611882,0.31339315],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99968433,0.000029970852,0.00003892319,0.000052638472,0.00009946762,0.00009455463],"domain_scores_gemma":[0.9988539,0.000081084116,0.0002655458,0.00004553241,0.0005545751,0.00019943238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046018284,0.0005606103,0.00043797836,0.0025098813,0.0005803306,0.0015036422,0.00023322411,0.00027874575,0.020838287],"category_scores_gemma":[0.0012213856,0.00017250147,0.00024731422,0.0068560913,0.00023422424,0.00080469606,0.0008547585,0.00052220817,0.010936369],"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":[0.00024348585,0.00006046124,0.1067116,0.0021344542,0.000072944786,0.00022246466,0.00095360976,0.00022888272,0.0010582228,0.0038685359,0.7030678,0.1813775],"study_design_scores_gemma":[0.000010555163,0.000035095607,0.52526873,0.0002463613,0.00003285759,0.00010574149,0.0008797119,0.0001555232,0.00042163854,0.0002917555,0.47253382,0.000018238938],"about_ca_topic_score_codex":0.07951637,"about_ca_topic_score_gemma":0.08813398,"teacher_disagreement_score":0.07951637,"about_ca_system_score_codex":0.0010747325,"about_ca_system_score_gemma":0.0030661076,"threshold_uncertainty_score":0.1581071},"labels":[],"label_agreement":null},{"id":"W4388023912","doi":"10.1111/manc.12461","title":"Frictions and the diffusion of automation","year":2023,"lang":"en","type":"article","venue":"Manchester School","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Economics; Productivity; Inflation (cosmology); Wage; Labour economics; New Keynesian economics; Welfare; Capital (architecture); Keynesian economics; Value (mathematics); Unemployment; Production (economics); Business cycle; Macroeconomics; Monetary policy; Market economy","score_opus":0.02327456880448113,"score_gpt":0.20021345248650668,"score_spread":0.17693888368202554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388023912","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":[0.88526976,0.004063106,0.05126754,0.0038124495,0.00011650929,0.00008011921,0.00028582275,0.00016556498,0.05493909],"genre_scores_gemma":[0.99771214,0.00033880284,0.0004629433,0.000023024842,0.000014368004,0.000006076037,0.000018531795,0.0000048783054,0.0014192299],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99911255,0.00024455093,0.00005932209,0.00018634537,0.00018664825,0.00021056033],"domain_scores_gemma":[0.9931726,0.0034777974,0.0019898203,0.00067946134,0.00037309146,0.00030713584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017075617,0.0003598622,0.00074901414,0.0010805494,0.00071321573,0.0037198383,0.000574434,0.0013606825,0.007977384],"category_scores_gemma":[0.014345173,0.0004480742,0.0007181851,0.0010157698,0.0028384943,0.003764584,0.0018264418,0.0014134161,0.00040075777],"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":[0.00028235468,0.0001362337,0.015509681,0.00022338523,0.0001037054,0.00056221173,0.0013805503,0.19338965,0.002167997,0.75770414,0.001936374,0.026603755],"study_design_scores_gemma":[0.00018510356,0.00023425317,0.023890266,0.00019677675,0.00007698131,0.00036368376,0.0014065715,0.2596856,0.0011277776,0.6977703,0.014936341,0.00012633478],"about_ca_topic_score_codex":0.006938698,"about_ca_topic_score_gemma":0.0022870959,"teacher_disagreement_score":0.007977384,"about_ca_system_score_codex":0.0024421085,"about_ca_system_score_gemma":0.0007309354,"threshold_uncertainty_score":0.026687026},"labels":[],"label_agreement":null},{"id":"W4388046463","doi":"10.1111/cjag.12338","title":"A random walk for agricultural total factor productivity","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Total factor productivity; Economics; Random walk; Agricultural productivity; Agriculture; Econometrics; Productivity; Structural break; Agricultural economics; Relevance (law); Statistics; Mathematics; Macroeconomics; Geography","score_opus":0.038699996230956386,"score_gpt":0.1729223084246491,"score_spread":0.1342223121936927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388046463","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":[0.26515588,0.0015809843,0.7008549,0.0072834427,0.00045571817,0.0003840647,0.0024707539,0.0012607027,0.020553546],"genre_scores_gemma":[0.92600805,0.0012902707,0.029261928,0.00060311705,0.00021206053,0.00041938166,0.0011923702,0.00016690331,0.04084589],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988213,0.00037155856,0.00003952507,0.0004062135,0.00015007415,0.00021134398],"domain_scores_gemma":[0.9916214,0.005926147,0.0010668611,0.00042116034,0.0006393397,0.00032516706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033868966,0.00090338354,0.0013185015,0.0016904798,0.00084623345,0.0021605694,0.0017042852,0.0033976035,0.015610486],"category_scores_gemma":[0.018500688,0.0006112162,0.0016236594,0.0013987515,0.001812702,0.0038274678,0.00083358807,0.0030101745,0.0024562038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001869131,0.00013201367,0.010762493,0.00014740917,0.000112066766,0.0007498338,0.00027017403,0.38025653,0.00200887,0.58087885,0.007818211,0.016676638],"study_design_scores_gemma":[0.00009742766,0.00010165377,0.003920519,0.000059259404,0.000040235624,0.00028343836,0.000099844874,0.81809664,0.00031370413,0.17372145,0.0031714619,0.00009431781],"about_ca_topic_score_codex":0.014164767,"about_ca_topic_score_gemma":0.008235697,"teacher_disagreement_score":0.98583525,"about_ca_system_score_codex":0.002223315,"about_ca_system_score_gemma":0.0009704872,"threshold_uncertainty_score":0.052222252},"labels":[],"label_agreement":null},{"id":"W4388207182","doi":"10.7202/1106867ar","title":"La théorie de David Harvey sur les inégalités géographiques : le cas de la Russie","year":2023,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.016198134086992694,"score_gpt":0.21707992609189045,"score_spread":0.20088179200489775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388207182","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":[0.22439423,0.039278496,0.12486324,0.1261373,0.0007970884,0.0000908523,0.0007522384,0.00018272805,0.48350385],"genre_scores_gemma":[0.9616945,0.009583891,0.004740336,0.0013579717,0.00019530786,0.000032732267,0.000068494934,0.000044490156,0.022282269],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991579,0.0003499974,0.000020847829,0.00016648222,0.00017131346,0.00013346855],"domain_scores_gemma":[0.9970214,0.0019266047,0.00027069918,0.00020712792,0.00042408207,0.00015004075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015004427,0.00043435092,0.00042069814,0.0024103182,0.0022721598,0.0039001687,0.00083081465,0.0015523215,0.005215255],"category_scores_gemma":[0.004333592,0.0002608653,0.00047435754,0.0033523093,0.015586149,0.004649453,0.0020970958,0.0026293658,0.0004450595],"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":[0.000008307613,0.0000036325582,0.001129312,0.000039084647,0.0000067346373,0.00007865997,0.003302003,0.0010870491,0.000074688855,0.98622596,0.0025844611,0.0054601445],"study_design_scores_gemma":[0.00001599722,0.000018489725,0.0067707766,0.00020942566,0.000023606808,0.00015493517,0.005018047,0.0031088935,0.00033709727,0.8721283,0.112172,0.00004245074],"about_ca_topic_score_codex":0.119564526,"about_ca_topic_score_gemma":0.09535765,"teacher_disagreement_score":0.119564526,"about_ca_system_score_codex":0.010313696,"about_ca_system_score_gemma":0.0040968815,"threshold_uncertainty_score":0.23773718},"labels":[],"label_agreement":null},{"id":"W4388609914","doi":"10.5539/ijef.v15n12p53","title":"Why is Technological Innovation Locally Concentrated? A Theoretical Review","year":2023,"lang":"en","type":"review","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Incentive; Externality; Industrial organization; Economics; Production (economics); Technological change; Network effect; Tacit knowledge; Business; Microeconomics; Economic geography; Knowledge management; Computer science; Macroeconomics","score_opus":0.06887917305691264,"score_gpt":0.2907244826805218,"score_spread":0.22184530962360915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388609914","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013120717,0.9970908,0.0003177232,0.00085515925,0.00009970725,0.00000470758,0.000018034352,0.000004076345,0.0014784968],"genre_scores_gemma":[0.0015746336,0.9975648,0.00013140768,0.0003212981,0.00020883555,0.000008554453,0.00002173501,0.0000022130648,0.00016663515],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992507,0.00016754672,0.000090193185,0.00025613792,0.00017324234,0.00006224128],"domain_scores_gemma":[0.9954241,0.003743203,0.00027111897,0.00007621749,0.00039623727,0.00008915199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016833721,0.0011732968,0.0023743233,0.0049524885,0.0006960525,0.003256869,0.0018933538,0.0030431976,0.005302906],"category_scores_gemma":[0.0044672815,0.0007591517,0.0009097904,0.005461134,0.002993303,0.00427386,0.0011982648,0.0026083381,0.0023131962],"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":[0.00010306817,0.00011385628,0.00075946265,0.061381925,0.0002664992,0.00041474582,0.0004664387,0.0020899898,0.000657388,0.13775785,0.02670266,0.76928616],"study_design_scores_gemma":[0.000021544558,0.00009821685,0.00252881,0.035046596,0.00033848203,0.0017379296,0.00049605465,0.0005948124,0.00045832797,0.08538062,0.8732166,0.000081981976],"about_ca_topic_score_codex":0.0028926616,"about_ca_topic_score_gemma":0.0017291747,"teacher_disagreement_score":0.005302906,"about_ca_system_score_codex":0.002146074,"about_ca_system_score_gemma":0.003168847,"threshold_uncertainty_score":0.017740011},"labels":[],"label_agreement":null},{"id":"W4388680316","doi":"10.22617/wps230478-2","title":"Demography, Growth, and Robots in Advanced and Emerging Economies","year":2023,"lang":"en","type":"report","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Productivity; Economics; Population ageing; Population; Emerging markets; Population growth; Demographic economics; Panel data; Demographic change; Economic geography; Economy; Economic growth; Demography; Macroeconomics; Econometrics; Sociology","score_opus":0.05941332859673029,"score_gpt":0.2621481579928299,"score_spread":0.20273482939609963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388680316","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883441,0.0011436286,0.0010107147,0.00048152672,0.000011896393,0.000012729768,0.0035685503,0.000012591701,0.005414237],"genre_scores_gemma":[0.9924488,0.002188988,0.00034021688,0.000043236792,0.00001990626,0.00001604221,0.0032830548,0.0000045408387,0.0016552504],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998995,0.00002306696,0.000007689013,0.000019832105,0.00001763043,0.00003219842],"domain_scores_gemma":[0.99937266,0.00013705093,0.0002782852,0.000033382395,0.0001014398,0.00007721373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003884203,0.00020756481,0.0002144295,0.0013881987,0.00023957994,0.0006690335,0.00011149786,0.00018400847,0.0018120472],"category_scores_gemma":[0.0012345703,0.00011551834,0.00033393042,0.002094812,0.00031226434,0.00093060726,0.0007388385,0.0004798538,0.00033966883],"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":[0.00006343247,0.00004247055,0.9631926,0.000044146887,0.00006498418,0.00016652157,0.00075041264,0.009761387,0.00015264288,0.0051968386,0.0019477954,0.018616809],"study_design_scores_gemma":[0.0000061100372,0.00005197188,0.98163086,0.000046498917,0.000021993104,0.00009248861,0.0014785805,0.0044072983,0.00018857438,0.0018231828,0.010242907,0.000009500413],"about_ca_topic_score_codex":0.03494352,"about_ca_topic_score_gemma":0.036746815,"teacher_disagreement_score":0.03494352,"about_ca_system_score_codex":0.00055933656,"about_ca_system_score_gemma":0.00037989143,"threshold_uncertainty_score":0.06948024},"labels":[],"label_agreement":null},{"id":"W4389044989","doi":"10.2139/ssrn.4615611","title":"Growth Through Industrial Linkages","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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 British Columbia","funders":"","keywords":"Business; Economics","score_opus":0.04886644706511037,"score_gpt":0.229037397272588,"score_spread":0.18017095020747764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389044989","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":[0.30430475,0.0018117139,0.0077158636,0.009436303,0.00017411295,0.00005098556,0.0009649002,0.00023657038,0.67530483],"genre_scores_gemma":[0.93364966,0.0018684391,0.0007075821,0.00023880875,0.00011229659,0.00002692847,0.00027802264,0.000024451609,0.06309381],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99977356,0.000056366545,0.000007733437,0.000056171164,0.00003436616,0.00007188466],"domain_scores_gemma":[0.9989202,0.0003544224,0.00025259194,0.00008661799,0.00015145035,0.00023469573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047821132,0.00035481332,0.00026438577,0.001661784,0.00084958156,0.004106367,0.00027006122,0.0009135289,0.04728759],"category_scores_gemma":[0.0027384704,0.00019360708,0.0003374733,0.0024035985,0.00089298736,0.0040658507,0.0020115909,0.0009408121,0.0031420025],"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":[0.00015174419,0.00013585849,0.01860377,0.00010312647,0.000037602327,0.0003566837,0.0007330752,0.005646913,0.0005250261,0.9044899,0.009543153,0.05967323],"study_design_scores_gemma":[0.00007057675,0.000120987934,0.027138412,0.00018141941,0.00006317138,0.00023792022,0.0025859443,0.0056213206,0.0007499902,0.8881449,0.07506779,0.000017507831],"about_ca_topic_score_codex":0.0030080646,"about_ca_topic_score_gemma":0.0027604077,"teacher_disagreement_score":0.04728759,"about_ca_system_score_codex":0.0012597243,"about_ca_system_score_gemma":0.0011286234,"threshold_uncertainty_score":0.15819275},"labels":[],"label_agreement":null},{"id":"W4389319246","doi":"10.2139/ssrn.4645459","title":"Modeling Daily Variations of the Growth and Inflation Joint Distribution","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Government of Canada; Bank of Canada; University of Toronto","funders":"","keywords":"Econometrics; Inflation (cosmology); Joint (building); Economics; Distribution (mathematics); Mathematics; Environmental science; Physics; Engineering; Mathematical analysis","score_opus":0.02048073434362689,"score_gpt":0.19667670039599344,"score_spread":0.17619596605236654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389319246","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":[0.92810947,0.00023531863,0.067629255,0.0007814037,0.00007460128,0.000015886833,0.00038581504,0.00024321392,0.0025250746],"genre_scores_gemma":[0.9969221,0.00008287164,0.0016563252,0.000025213176,0.00003584503,0.0000077239965,0.00018137308,0.000040639592,0.001047947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971706,0.00010322188,0.000011301272,0.000084254796,0.00002974775,0.000054342516],"domain_scores_gemma":[0.99668926,0.0025186997,0.00036011843,0.0001366179,0.00013998688,0.00015532835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012550409,0.00044447993,0.00069553003,0.0005016063,0.00026597278,0.0012837547,0.00082431675,0.0014784955,0.0015362896],"category_scores_gemma":[0.007839842,0.0006603546,0.000677416,0.00072596123,0.0007110152,0.0013787624,0.00063320115,0.001381814,0.00022568344],"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":[0.00008003638,0.00005955364,0.010266775,0.000014495126,0.000055883876,0.00009817818,0.000052770258,0.97864294,0.00056395226,0.006718981,0.0005126658,0.00293379],"study_design_scores_gemma":[0.000003882805,0.000004203264,0.0011619278,7.819681e-7,0.0000030188944,0.000007794854,0.000007577899,0.99771297,0.000042426494,0.0010087484,0.00004346663,0.0000033061629],"about_ca_topic_score_codex":0.019100478,"about_ca_topic_score_gemma":0.011450669,"teacher_disagreement_score":0.019100478,"about_ca_system_score_codex":0.0007695118,"about_ca_system_score_gemma":0.0004776808,"threshold_uncertainty_score":0.03797865},"labels":[],"label_agreement":null},{"id":"W4390613501","doi":"10.1007/978-3-031-46189-7_9","title":"Technological Shocks and Employment: A Pick from the RBC Theory","year":2024,"lang":"en","type":"book-chapter","venue":"Future of business and finance","topic":"Economic Growth and Productivity","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 Canada West","funders":"","keywords":"Recession; Viewpoints; Business cycle; Economics; Context (archaeology); Government (linguistics); Technological change; Macroeconomics; Labour economics","score_opus":0.01604416512072992,"score_gpt":0.1768192734774555,"score_spread":0.16077510835672557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390613501","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020862192,0.38660416,0.093399815,0.1958799,0.006296167,0.000044766355,0.0009908369,0.00020005443,0.29572216],"genre_scores_gemma":[0.37493533,0.370127,0.034257006,0.020153109,0.022093985,0.00008707693,0.0006530312,0.00044627776,0.1772472],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99977857,0.00007224714,0.000011068116,0.00003196221,0.000086677304,0.000019548788],"domain_scores_gemma":[0.9994106,0.00037273686,0.00003070717,0.000054406435,0.00008875311,0.00004270031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006772104,0.0004594513,0.0007453173,0.00096474384,0.0005005629,0.0029020372,0.0006893921,0.002013469,0.004492861],"category_scores_gemma":[0.0027211069,0.00028350335,0.00046400313,0.0019266878,0.0021456298,0.004057491,0.0012481195,0.0037004221,0.0016775259],"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":[0.000020903573,0.00002351059,0.0004312345,0.000094158575,0.000012721497,0.00008812617,0.00018495157,0.0022263224,0.00018672651,0.9139368,0.028513664,0.054280918],"study_design_scores_gemma":[0.000003408973,0.00000763931,0.0005742705,0.00009594484,0.000006639737,0.000054254757,0.00009380177,0.0024171814,0.000080444595,0.9302709,0.06638713,0.000008413224],"about_ca_topic_score_codex":0.0036701995,"about_ca_topic_score_gemma":0.0032547675,"teacher_disagreement_score":0.004492861,"about_ca_system_score_codex":0.0015228841,"about_ca_system_score_gemma":0.001223123,"threshold_uncertainty_score":0.015030086},"labels":[],"label_agreement":null},{"id":"W4391040258","doi":"10.31410/eman.2023.117","title":"Investment in Unmanned Aerial Systems in Agriculture and Economic Growth: G(7)","year":2023,"lang":"en","type":"article","venue":"International Scientific Conference EMAN. Economics & Management: How to Cope With Disrupted Times","topic":"Economic Growth and Productivity","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":"Investment (military); Agriculture; Unit (ring theory); Economic stability; Agricultural economics; Economics; Natural resource economics; Geography; Political science; Macroeconomics; Mathematics","score_opus":0.02065822000367788,"score_gpt":0.21142368821874513,"score_spread":0.19076546821506726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391040258","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":[0.95307505,0.0010297175,0.014763731,0.0017560618,0.00004146992,0.00002549713,0.00036034797,0.000038472066,0.028909786],"genre_scores_gemma":[0.9963768,0.00040178455,0.0005911429,0.000029278279,0.000010295448,0.000008587087,0.00008996055,0.000003261567,0.002488883],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9998118,0.00003721181,0.000005788295,0.000037316073,0.000033308355,0.00007452159],"domain_scores_gemma":[0.99959546,0.00011570013,0.00016061318,0.000022789076,0.000048965157,0.000056413344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026275113,0.00029802322,0.00022123005,0.0003487894,0.0002641507,0.0011918753,0.00027608074,0.0005442374,0.0023115296],"category_scores_gemma":[0.0008243309,0.000060140832,0.00028510718,0.0006164208,0.0008908436,0.00097650196,0.0006425961,0.00055593357,0.00025814716],"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":[0.00025277128,0.00013448005,0.19888721,0.00016095967,0.00019839678,0.0009815397,0.0008359981,0.1895023,0.004815585,0.5236477,0.0054671415,0.07511587],"study_design_scores_gemma":[0.00004785123,0.0006108391,0.24740462,0.0001471537,0.00014977538,0.000566607,0.0024571852,0.44268757,0.0031462952,0.251749,0.05095009,0.00008300968],"about_ca_topic_score_codex":0.00627657,"about_ca_topic_score_gemma":0.005375283,"teacher_disagreement_score":0.00627657,"about_ca_system_score_codex":0.0015984648,"about_ca_system_score_gemma":0.0005261763,"threshold_uncertainty_score":0.01248008},"labels":[],"label_agreement":null},{"id":"W4391736111","doi":"10.1007/s10644-024-09617-w","title":"Club convergence of sustainable development: fresh evidence from developing and developed countries","year":2024,"lang":"en","type":"article","venue":"Economic Change and Restructuring","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Oxford; University of Cambridge; Hellenic Academic Libraries Link","keywords":"Club; Developing country; Convergence (economics); Sustainable development; Business; Political science; Economic growth; Economics; Biology","score_opus":0.06706294416595332,"score_gpt":0.23726315664988554,"score_spread":0.17020021248393222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391736111","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":[0.9634082,0.0048009246,0.0017226514,0.0006766257,0.000042228978,0.000040969247,0.0012323909,0.00002010071,0.028055917],"genre_scores_gemma":[0.99816835,0.0008418788,0.00016078881,0.000038527538,0.000018669632,0.0000062636727,0.00048740077,0.000005470295,0.00027264532],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99819773,0.00073366263,0.00017857866,0.00021934696,0.00039907114,0.00027158496],"domain_scores_gemma":[0.9816983,0.006852671,0.0040826965,0.001365368,0.0043642847,0.0016366676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038927346,0.00017381873,0.0006226126,0.0051077525,0.00094651006,0.0018892994,0.0003765307,0.0003514917,0.004835211],"category_scores_gemma":[0.01572749,0.00012119423,0.00040116254,0.0062169633,0.0012371701,0.0016338619,0.003154339,0.0007421209,0.0004757874],"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":[0.0008067809,0.00026589882,0.8828577,0.0007042121,0.00050387223,0.0013975111,0.008598374,0.0042075417,0.00027717135,0.026733652,0.0052929157,0.06835444],"study_design_scores_gemma":[0.000032151,0.00016130404,0.9641924,0.0004726647,0.00010959206,0.0002955286,0.013166037,0.0026525417,0.000273381,0.007941087,0.010668891,0.000034446606],"about_ca_topic_score_codex":0.008474249,"about_ca_topic_score_gemma":0.0060476367,"teacher_disagreement_score":0.008474249,"about_ca_system_score_codex":0.000610517,"about_ca_system_score_gemma":0.00070762006,"threshold_uncertainty_score":0.020586967},"labels":[],"label_agreement":null},{"id":"W4392240973","doi":"10.18280/ijsdp.190229","title":"The Nexus Between ICT, Trade Openness, Urbanization, Natural Resources, Foreign Direct Investment and Economic Growth","year":2024,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nexus (standard); Openness to experience; Urbanization; Foreign direct investment; Information and Communications Technology; Natural resource; Investment (military); Business; International trade; Natural resource economics; Economics; International economics; Economic growth; Political science; Engineering; Macroeconomics","score_opus":0.015943330990998317,"score_gpt":0.21458159239364133,"score_spread":0.198638261402643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392240973","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":[0.9891011,0.002024538,0.0005918136,0.00087970815,0.00002954452,0.000008502226,0.00044133567,0.000020265354,0.006903128],"genre_scores_gemma":[0.99826694,0.0007150526,0.00013165489,0.000028348113,0.000014468627,0.0000032320806,0.00018442784,0.0000013666345,0.0006544059],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997348,0.00006183764,0.000024117167,0.000045542154,0.000045807126,0.00008797136],"domain_scores_gemma":[0.9991346,0.0003024416,0.00034456383,0.000025514119,0.00009641525,0.00009651939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032539395,0.00030367033,0.00022520474,0.0011664124,0.00041783525,0.0012703242,0.000110938214,0.00021295312,0.0017039817],"category_scores_gemma":[0.001046308,0.000084397565,0.00031462807,0.0024801134,0.00055580435,0.00074343366,0.00076376233,0.0004645176,0.00016133337],"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":[0.00006569574,0.000057565947,0.96826655,0.00011307944,0.000105742336,0.00065693835,0.0005003881,0.004978823,0.00045843018,0.008084962,0.0006990365,0.016012816],"study_design_scores_gemma":[0.000004556413,0.000057376015,0.98159605,0.00007491883,0.00012220515,0.0003088082,0.0025068044,0.006371685,0.000438625,0.0035890993,0.004916072,0.000013714909],"about_ca_topic_score_codex":0.017806383,"about_ca_topic_score_gemma":0.02170349,"teacher_disagreement_score":0.017806383,"about_ca_system_score_codex":0.001087431,"about_ca_system_score_gemma":0.0017633549,"threshold_uncertainty_score":0.035405457},"labels":[],"label_agreement":null},{"id":"W4392434473","doi":"10.2139/ssrn.1136188","title":"North-South Technology Spillovers: The Relative Impact of Openness and Foreign R&amp;D","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","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":"Carleton University","funders":"","keywords":"Openness to experience; International economics; International trade; Economics; Political science; Psychology","score_opus":0.02374606465971466,"score_gpt":0.2159854594438207,"score_spread":0.19223939478410604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392434473","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":[0.9234321,0.003967762,0.0018118151,0.003183837,0.00006859497,0.000018041397,0.0006444971,0.00005334535,0.06681987],"genre_scores_gemma":[0.99662244,0.00083839014,0.00010394965,0.00010654269,0.00004058915,0.000002653154,0.00008236924,0.0000062196523,0.002196906],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962926,0.00010234468,0.000019610172,0.0000781784,0.000056156736,0.000114441915],"domain_scores_gemma":[0.99333453,0.0036446305,0.0014877362,0.0001814367,0.00034877847,0.0010028925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011604715,0.0002449212,0.00048984453,0.0013083627,0.0005322278,0.0034552896,0.00023901367,0.0007471399,0.015110178],"category_scores_gemma":[0.005538612,0.00016926948,0.00060015335,0.0014594864,0.0011157693,0.0020820769,0.0020544739,0.0008405529,0.0008028552],"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":[0.003578605,0.00030463224,0.6937248,0.0006021623,0.0009910899,0.0027449632,0.0018947986,0.041008838,0.0069688833,0.15770243,0.0071744276,0.08330437],"study_design_scores_gemma":[0.00027705712,0.00032002348,0.8648752,0.00029429415,0.0012081177,0.0011235236,0.00686493,0.012553658,0.0043673287,0.09076455,0.017272644,0.00007870099],"about_ca_topic_score_codex":0.005720632,"about_ca_topic_score_gemma":0.0076771025,"teacher_disagreement_score":0.015110178,"about_ca_system_score_codex":0.00079848146,"about_ca_system_score_gemma":0.0007568168,"threshold_uncertainty_score":0.050548553},"labels":[],"label_agreement":null},{"id":"W4392455218","doi":"10.2139/ssrn.4746812","title":"Globalization and Profitability of US Firms: The Role of Intangibles","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Kellogg's (Canada)","funders":"","keywords":"Profitability index; Globalization; Business; Industrial organization; Accounting; International trade; Financial system; Commerce; Economics; Market economy; Finance","score_opus":0.007615478055117973,"score_gpt":0.20007457650282692,"score_spread":0.19245909844770895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392455218","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":[0.9483707,0.010710605,0.00053613377,0.011898782,0.00006602723,0.000007008879,0.0003266648,0.000015151715,0.028068919],"genre_scores_gemma":[0.9965612,0.002319956,0.000044863642,0.0001645055,0.00008198636,0.0000010941251,0.00006354628,0.0000037471266,0.000759031],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997446,0.00008188121,0.000013864419,0.000035687463,0.000056983874,0.00006709425],"domain_scores_gemma":[0.9959026,0.001556309,0.0014760069,0.000110455025,0.00036568035,0.00058893755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005917695,0.00017830786,0.00022759735,0.0009057097,0.00048927614,0.004088856,0.0002288706,0.001116102,0.0045801844],"category_scores_gemma":[0.0034254119,0.000120577875,0.00023145236,0.0019091697,0.0016122374,0.0027462558,0.0009061547,0.0012020281,0.0003762071],"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":[0.00047296853,0.0003562338,0.80495304,0.00017190466,0.00016816238,0.0011031425,0.0027849723,0.0055449023,0.00112261,0.10084852,0.011925694,0.07054786],"study_design_scores_gemma":[0.000025967614,0.0001187792,0.8796402,0.0002236377,0.0001282037,0.00030986578,0.008286047,0.004523148,0.00059415103,0.085639715,0.0204572,0.000053116844],"about_ca_topic_score_codex":0.009661006,"about_ca_topic_score_gemma":0.015445705,"teacher_disagreement_score":0.009661006,"about_ca_system_score_codex":0.0010093446,"about_ca_system_score_gemma":0.0009968688,"threshold_uncertainty_score":0.019209564},"labels":[],"label_agreement":null},{"id":"W4392767628","doi":"10.3386/w32202","title":"Globalization and Profitability of US Firms: The Role of Intangibles","year":2024,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Profitability index; Globalization; Business; Industrial organization; Economic geography; Business administration; Economics; Market economy; Finance","score_opus":0.2104946536626319,"score_gpt":0.42630257047143777,"score_spread":0.21580791680880587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392767628","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":[0.96805453,0.005308506,0.00020583713,0.0038966131,0.000029854806,0.000008878991,0.0008911359,0.000015722057,0.021588909],"genre_scores_gemma":[0.9960388,0.0023833746,0.00004732241,0.000102808364,0.000033443008,0.000002306751,0.00040820526,0.0000033396075,0.0009803538],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999841,0.000028215523,0.000010348518,0.000021875288,0.000048195285,0.000050371615],"domain_scores_gemma":[0.9984529,0.00016706783,0.00068952725,0.000044512577,0.00036378836,0.0002822152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000400237,0.00018535153,0.00013976703,0.0010250225,0.00037150475,0.0018470557,0.00010772345,0.00026535627,0.0017453574],"category_scores_gemma":[0.0014548482,0.00007401156,0.00014510292,0.002507844,0.0006654832,0.0013704051,0.00067713193,0.00054214103,0.00027601997],"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":[0.00011145315,0.000081474864,0.9249111,0.00006703321,0.000037380614,0.00036020842,0.0012502312,0.0014721816,0.00051486626,0.008252738,0.011193344,0.051747937],"study_design_scores_gemma":[0.0000039635156,0.000039052407,0.98473144,0.00005078039,0.000018063361,0.000076836484,0.0013803667,0.00088838424,0.00032178135,0.002695602,0.009780637,0.00001302592],"about_ca_topic_score_codex":0.02842773,"about_ca_topic_score_gemma":0.03715907,"teacher_disagreement_score":0.02842773,"about_ca_system_score_codex":0.0012194193,"about_ca_system_score_gemma":0.0010402169,"threshold_uncertainty_score":0.056524515},"labels":[],"label_agreement":null},{"id":"W4392778549","doi":"10.59876/a-fp9b-wy4v","title":"Convergences et divergences de la transition vers le marché en Asie: Chine, Vietnam, Laos, Mongolie","year":2003,"lang":"en","type":"article","venue":"Management international","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Convergence (economics); Development economics; East Asia; Political science; Democracy; Geography; Liberalization; Poverty; Economy; Economics; Economic growth","score_opus":0.014279151850654606,"score_gpt":0.2224836375888891,"score_spread":0.20820448573823447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392778549","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":[0.99305785,0.00020019875,0.00017075897,0.0002635285,0.0000075252556,0.0000044256244,0.000046057612,0.0000033789065,0.006246196],"genre_scores_gemma":[0.9988049,0.00009648644,0.00006443868,0.00000957108,0.0000040118616,0.0000031234488,0.000050795108,0.0000027962071,0.0009638987],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997087,0.000073820185,0.000018158982,0.000037876827,0.000040987983,0.000120462806],"domain_scores_gemma":[0.9989724,0.00027052627,0.00025280833,0.00003194305,0.0002345516,0.00023772777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088658807,0.00012724429,0.00020704378,0.0013443135,0.0009877468,0.0024946136,0.00020738521,0.00024311182,0.0023589379],"category_scores_gemma":[0.0029844504,0.00009878523,0.00015614218,0.0017237057,0.0013024006,0.0011038296,0.0011623529,0.00079954666,0.00013071756],"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":[0.0011146151,0.00012452366,0.7304763,0.00013824587,0.000116180345,0.0018442699,0.08671022,0.003391538,0.0032470499,0.10576074,0.0016563674,0.06542002],"study_design_scores_gemma":[0.000046926183,0.00012958428,0.89385074,0.00011682684,0.000039364866,0.00053780846,0.07607035,0.003788709,0.0009583907,0.011029754,0.013395272,0.00003619979],"about_ca_topic_score_codex":0.058049764,"about_ca_topic_score_gemma":0.04532323,"teacher_disagreement_score":0.058049764,"about_ca_system_score_codex":0.00216168,"about_ca_system_score_gemma":0.0012097504,"threshold_uncertainty_score":0.11542374},"labels":[],"label_agreement":null},{"id":"W4392815017","doi":"10.29173/jaed120","title":"Economic Developer Of The Year Award—September 28, 2000 Speech to the CANDO National Economic Development Conference, Yellowknife, N.W.T.","year":2002,"lang":"en","type":"article","venue":"Journal of Aboriginal Economic Development","topic":"Economic Growth and Productivity","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":"Engineering; Economic history; Political science; Management; Economics","score_opus":0.026419712131042727,"score_gpt":0.23223699144516055,"score_spread":0.20581727931411783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392815017","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004974392,0.010319407,0.00060182455,0.4777291,0.22511582,0.00024342844,0.0028092412,0.00023168274,0.2779751],"genre_scores_gemma":[0.010640201,0.0023762973,0.00028727803,0.02253579,0.006306663,0.000071166876,0.00073427084,0.00008693684,0.9569614],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99928623,0.0000629222,0.000021544238,0.00007293314,0.0002962747,0.00026010035],"domain_scores_gemma":[0.9973943,0.00015188761,0.000051539544,0.000055096254,0.0008814341,0.0014658564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025273883,0.0005846003,0.0004401128,0.00073391444,0.003438929,0.004643139,0.0007844316,0.0040085223,0.06287679],"category_scores_gemma":[0.0038006178,0.00028916996,0.00035712295,0.0004336718,0.00061297335,0.0013804211,0.0022153459,0.0066846833,0.026987175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002741852,0.000015264735,0.00020105795,0.000012849209,0.0000016091385,0.000036428057,0.000023007888,0.000012092064,0.000048156213,0.0015232752,0.9944951,0.003603734],"study_design_scores_gemma":[0.000011077015,0.000013097438,0.0016184967,0.000026917134,0.0000022430313,0.000022354707,0.00013837736,0.00002787179,0.00005876636,0.00025539217,0.99781907,0.000006366748],"about_ca_topic_score_codex":0.022068974,"about_ca_topic_score_gemma":0.082511306,"teacher_disagreement_score":0.977931,"about_ca_system_score_codex":0.0023917651,"about_ca_system_score_gemma":0.007863981,"threshold_uncertainty_score":0.21034384},"labels":[],"label_agreement":null},{"id":"W4392929246","doi":"","title":"Three Essays on the Long-term Accumulation of Wealth","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Economic Growth and Productivity","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":"Term (time); Economics; History; Physics","score_opus":0.06864262073070555,"score_gpt":0.2621415152885222,"score_spread":0.19349889455781666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392929246","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":[0.063412115,0.20561092,0.028978484,0.25482416,0.01822715,0.000114983166,0.0023380376,0.0002505993,0.42624357],"genre_scores_gemma":[0.5029816,0.16395752,0.011538138,0.02160504,0.022400223,0.00027738904,0.0017345798,0.0004448609,0.27506068],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99921894,0.00021899625,0.00005191339,0.00017017801,0.00022610553,0.000113891365],"domain_scores_gemma":[0.9953082,0.002762715,0.00048999727,0.00040807293,0.00076003186,0.00027086152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020319363,0.0006316906,0.00034884247,0.0024339142,0.00186176,0.004485081,0.00078904367,0.0015260646,0.008690878],"category_scores_gemma":[0.007654189,0.00026501343,0.00073267194,0.0032039648,0.0046393415,0.005325601,0.0024461974,0.0026006114,0.001704914],"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":[0.00008181499,0.00006302891,0.008231271,0.00054879166,0.000062885585,0.0003929585,0.008771163,0.0016036475,0.00032799272,0.67068154,0.20137145,0.10786343],"study_design_scores_gemma":[0.000011968574,0.00003879593,0.008909549,0.0015116555,0.000026031632,0.00028599563,0.0031469362,0.00054482743,0.00031256388,0.15899613,0.8261744,0.000041139087],"about_ca_topic_score_codex":0.0030971973,"about_ca_topic_score_gemma":0.002750468,"teacher_disagreement_score":0.008690878,"about_ca_system_score_codex":0.002895434,"about_ca_system_score_gemma":0.0013674079,"threshold_uncertainty_score":0.029073834},"labels":[],"label_agreement":null},{"id":"W4393059852","doi":"10.57138/zchp3704","title":"One Sunshine Doth Not a Harvest Make: An Examination of the Growth Momentum in Bangladesh","year":2019,"lang":"en","type":"article","venue":"The Bangladesh Development Studies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Institute of Health Economics","funders":"","keywords":"Development economics; Economics; Context (archaeology); Human capital; Industrialisation; Momentum (technical analysis); Productivity; Inequality; Pace; Poverty; Total factor productivity; Middle income trap; Economic growth; China; Political science; Market economy; Geography","score_opus":0.05437790998464819,"score_gpt":0.23009052855052498,"score_spread":0.17571261856587678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393059852","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":[0.91432077,0.004463784,0.0004061003,0.013150983,0.0000452849,0.000026924232,0.00087662175,0.000017614739,0.066691816],"genre_scores_gemma":[0.9895615,0.006544716,0.00016681409,0.0003827283,0.00003376491,0.0000105079735,0.00026683323,0.000015388248,0.0030178332],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995332,0.00009363176,0.000040536273,0.000054787022,0.00014269013,0.00013514256],"domain_scores_gemma":[0.9982064,0.00054545683,0.00050394307,0.000060721028,0.00047693084,0.00020650298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010448546,0.00024531988,0.00023508337,0.0026980003,0.0016834915,0.004662464,0.00038531038,0.00065960456,0.0028275347],"category_scores_gemma":[0.0038145918,0.00021234869,0.00012845389,0.007417861,0.0017669845,0.0035396076,0.0021684933,0.0009914757,0.000721416],"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":[0.00027356757,0.00008442388,0.62396675,0.000626643,0.000043198033,0.0046595787,0.12919888,0.0013528132,0.0034924366,0.0750812,0.013060794,0.14815976],"study_design_scores_gemma":[0.000007691891,0.000114866256,0.6938494,0.00056442077,0.00002211943,0.00086099765,0.20365785,0.0008151466,0.0007122927,0.010052852,0.08926557,0.000076760225],"about_ca_topic_score_codex":0.05116593,"about_ca_topic_score_gemma":0.07222014,"teacher_disagreement_score":0.05116593,"about_ca_system_score_codex":0.004508556,"about_ca_system_score_gemma":0.0021742512,"threshold_uncertainty_score":0.10173625},"labels":[],"label_agreement":null},{"id":"W4393230858","doi":"10.1111/caje.12705","title":"Pause artificial intelligence research? Understanding AI policy challenges","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Ambiguity; Productivity; Economics; Humanity; Computer science; Artificial intelligence; Political science; Macroeconomics; Law","score_opus":0.5779821891415509,"score_gpt":0.2727495388817243,"score_spread":0.30523265025982654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393230858","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015977407,0.015994344,0.0013191988,0.9656852,0.0008330586,0.000005951946,0.000053917982,0.000013833253,0.014496725],"genre_scores_gemma":[0.6158038,0.08186193,0.0065080984,0.27201438,0.014082474,0.00021065827,0.00024568124,0.00012977344,0.009143295],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9880166,0.0072414167,0.000453139,0.001116523,0.0014960412,0.0016762906],"domain_scores_gemma":[0.88882434,0.09316391,0.0030744404,0.0023019204,0.007518984,0.005116452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02895894,0.0005134495,0.0013848165,0.0040506194,0.005439739,0.021472264,0.0027498077,0.018139254,0.010637496],"category_scores_gemma":[0.060132645,0.0004608949,0.0006478319,0.004628134,0.026431067,0.030913593,0.0049996814,0.017722689,0.0013536331],"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":[0.000019182995,0.000028544224,0.00017492729,0.00015573882,0.000009658794,0.000044525386,0.0008231653,0.0010712142,0.000040247975,0.95678556,0.031940445,0.008906852],"study_design_scores_gemma":[0.000011167605,0.000007973968,0.0001817075,0.00069822004,0.000005470747,0.000016454862,0.0019587174,0.0008779744,0.00004585898,0.92045915,0.07572201,0.000015341919],"about_ca_topic_score_codex":0.023094025,"about_ca_topic_score_gemma":0.013035133,"teacher_disagreement_score":0.02895894,"about_ca_system_score_codex":0.023739878,"about_ca_system_score_gemma":0.023602877,"threshold_uncertainty_score":0.17224562},"labels":[],"label_agreement":null},{"id":"W4393321215","doi":"10.4000/oeconomia.16900","title":"James Tobin on Overlapping Generations Models and the Microeconomic Foundations of Macroeconomics Reconsidered","year":2024,"lang":"en","type":"article","venue":"OEconomia","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Economics; Keynesian economics; Overlapping generations model; Neoclassical economics; Macroeconomics","score_opus":0.045790521602616964,"score_gpt":0.23247940860787494,"score_spread":0.186688887005258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393321215","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015308748,0.23854409,0.21202885,0.3704393,0.01123034,0.0000848201,0.0009212611,0.00023764237,0.15120497],"genre_scores_gemma":[0.61185133,0.17870484,0.0493047,0.052124787,0.014717352,0.00029443216,0.00040773864,0.00037256698,0.092222236],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99802196,0.0011469192,0.00007428319,0.00028125235,0.00033832615,0.00013723626],"domain_scores_gemma":[0.99541736,0.003470835,0.000263239,0.00023971086,0.0004664632,0.00014240755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030431931,0.0008631122,0.0011429387,0.0020759709,0.0015910153,0.00429818,0.0012977133,0.003482029,0.0039669983],"category_scores_gemma":[0.010498301,0.0005408688,0.0010056683,0.00343982,0.006074484,0.0073249172,0.0017207135,0.006083891,0.0010615871],"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":[0.000009270371,0.000008236688,0.0001463773,0.000030961208,0.000008029666,0.000033630127,0.00016842365,0.0020183371,0.000023292267,0.9823177,0.010810121,0.004425672],"study_design_scores_gemma":[0.0000059831873,0.000004079483,0.000092050526,0.000074492695,0.0000043161463,0.000018876293,0.00004176984,0.0018609319,0.000030284633,0.95753574,0.040321473,0.000010028031],"about_ca_topic_score_codex":0.014030106,"about_ca_topic_score_gemma":0.009154324,"teacher_disagreement_score":0.014030106,"about_ca_system_score_codex":0.0053965915,"about_ca_system_score_gemma":0.0026161761,"threshold_uncertainty_score":0.039155185},"labels":[],"label_agreement":null},{"id":"W4393347473","doi":"10.2139/ssrn.4742935","title":"Is There an End to Sustained Economic Growth?","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Thompson Rivers University","funders":"","keywords":"End-to-end principle; Business; Economics; Computer science; Computer security","score_opus":0.013769903698798927,"score_gpt":0.2247265771132011,"score_spread":0.21095667341440216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393347473","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021020705,0.011741628,0.0028139425,0.8900032,0.010483434,0.00000951393,0.00041346654,0.00015637865,0.06335762],"genre_scores_gemma":[0.76357603,0.020437831,0.0036025955,0.14746012,0.021523358,0.000104195795,0.000761828,0.00028193716,0.042252015],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974335,0.0006027374,0.00014481905,0.00029124747,0.0007095531,0.0008182623],"domain_scores_gemma":[0.98495483,0.005751003,0.0018144583,0.0010158393,0.0025765274,0.0038873025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004510561,0.00035930445,0.0007498151,0.0008555423,0.001753675,0.010924408,0.0010596622,0.0074473685,0.02688495],"category_scores_gemma":[0.02756813,0.00017753916,0.0005118784,0.0012972814,0.0054292292,0.015467154,0.004669624,0.008843923,0.0066001876],"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":[0.0006334604,0.00023749396,0.006894521,0.00038515983,0.00007199838,0.000504822,0.0009806143,0.0003974739,0.00053392083,0.6422011,0.20025328,0.1469061],"study_design_scores_gemma":[0.00004798477,0.00008149261,0.0041355756,0.00047546104,0.000021595493,0.0002288564,0.002882398,0.0004842578,0.00033428095,0.79960483,0.1916653,0.000037895992],"about_ca_topic_score_codex":0.001060209,"about_ca_topic_score_gemma":0.00096140336,"teacher_disagreement_score":0.02688495,"about_ca_system_score_codex":0.0017675961,"about_ca_system_score_gemma":0.0034580117,"threshold_uncertainty_score":0.08993912},"labels":[],"label_agreement":null},{"id":"W4393443885","doi":"10.33423/jmpp.v25i1.6891","title":"Protecting Intellectual Property in International Expansion: Preparing an Innovation-Based SME","year":2024,"lang":"en","type":"article","venue":"Journal of Management Policy and Practice","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Intellectual property; Business; Technology innovation; Property (philosophy); Industrial organization; Political science; Law","score_opus":0.06658779439125662,"score_gpt":0.3090400216659477,"score_spread":0.24245222727469107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393443885","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":[0.8331438,0.00052743,0.0110051455,0.090043165,0.00019082637,0.00040374888,0.000021629348,0.00009786442,0.06456644],"genre_scores_gemma":[0.98911685,0.00030653607,0.005119311,0.0033168707,0.000038793773,0.00013113179,0.000012084857,0.000012776831,0.001945709],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.98844784,0.0076314188,0.0002763304,0.00054159487,0.00078700134,0.0023158118],"domain_scores_gemma":[0.96822685,0.011852987,0.003757326,0.002079198,0.0026040724,0.011479569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025543388,0.00042004997,0.0004339046,0.00077638065,0.011902195,0.012247233,0.0021753553,0.006717687,0.004099834],"category_scores_gemma":[0.02858781,0.00030030328,0.0004121393,0.00084239786,0.00921859,0.009196365,0.012410271,0.0071662758,0.0008414007],"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":[0.0005918203,0.008641946,0.0569627,0.001332417,0.00011123851,0.01028132,0.3977188,0.008657665,0.029757375,0.23023802,0.02510019,0.23060657],"study_design_scores_gemma":[0.00023416673,0.002225701,0.021970611,0.0012979113,0.000072240604,0.0008489442,0.7051671,0.0045558102,0.00842985,0.123354405,0.13166913,0.00017412784],"about_ca_topic_score_codex":0.0012494302,"about_ca_topic_score_gemma":0.002677646,"teacher_disagreement_score":0.025543388,"about_ca_system_score_codex":0.003960336,"about_ca_system_score_gemma":0.018717268,"threshold_uncertainty_score":0.13508797},"labels":[],"label_agreement":null},{"id":"W4393541336","doi":"10.5281/zenodo.5121915","title":"Replication package for: Geography and Agricultural Productivity: Cross-Country Evidence from Micro Plot-Level Data","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Replication (statistics); Plot (graphics); Productivity; Agriculture; Geography; Agricultural productivity; Economic geography; Agricultural economics; Economics; Statistics; Mathematics; Archaeology; Economic growth","score_opus":0.12085582573359875,"score_gpt":0.27309670942724695,"score_spread":0.1522408836936482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393541336","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010011427,0.000018088174,0.00013266741,0.000056721812,0.000024583147,0.000027384287,0.99894553,0.00027812173,0.00041679165],"genre_scores_gemma":[0.0009459077,0.00004711282,0.0010316124,0.0000745164,0.000020362386,0.0006671748,0.9945614,0.00040490538,0.0022470525],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987349,0.00027530175,0.00020362822,0.00031708923,0.00022806128,0.0002410041],"domain_scores_gemma":[0.9915733,0.0028190275,0.001045512,0.0022937653,0.0017875572,0.00048072165],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002517478,0.0017230428,0.0014884376,0.0039219125,0.000867991,0.0028150722,0.0025997853,0.0014179136,0.30143955],"category_scores_gemma":[0.016402585,0.0011279071,0.0017674186,0.007947613,0.00043226685,0.001699786,0.002325355,0.0019922764,0.17250636],"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":[0.000053246295,0.00001841421,0.0009279476,0.00043672914,0.000044498964,0.000014208962,0.000026133508,0.0001512821,0.00005020785,0.00040959334,0.9961809,0.0016869007],"study_design_scores_gemma":[0.0010804213,0.00003116027,0.014126017,0.00047877422,0.000086423344,0.00006761584,0.00015395127,0.00037086036,0.00037708302,0.0023775762,0.98078924,0.000060832404],"about_ca_topic_score_codex":0.031507943,"about_ca_topic_score_gemma":0.047739632,"teacher_disagreement_score":0.30143955,"about_ca_system_score_codex":0.0014694219,"about_ca_system_score_gemma":0.0027203811,"threshold_uncertainty_score":0.9964117},"labels":[],"label_agreement":null},{"id":"W4394688647","doi":"10.1146/annurev-economics-091523-044259","title":"Industrial Policy and the Great Divergence","year":2024,"lang":"en","type":"article","venue":"Annual Review of Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Divergence (linguistics); Economics","score_opus":0.05033552619181494,"score_gpt":0.2565928210132197,"score_spread":0.20625729482140473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394688647","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04889245,0.17221223,0.0054796766,0.31885773,0.0021754408,0.000013683795,0.00028144926,0.00007755845,0.45200983],"genre_scores_gemma":[0.8469329,0.08948439,0.0015888041,0.037435576,0.002986879,0.00004791129,0.00021268101,0.00009319699,0.021217685],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997771,0.000874664,0.00006996907,0.00042202187,0.00042372616,0.00043873207],"domain_scores_gemma":[0.9973742,0.0013938214,0.0003472705,0.00025332285,0.00032210123,0.000309249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004441121,0.00023874125,0.00050046324,0.002121401,0.0037473126,0.007063565,0.00080266583,0.002740288,0.008635928],"category_scores_gemma":[0.0065000337,0.0001408068,0.000341753,0.0041898787,0.010046752,0.006462072,0.00491797,0.004869344,0.0010228534],"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":[0.000012835405,0.000012851022,0.0007894365,0.000054589946,0.000008000031,0.000057928875,0.0014165693,0.00019923852,0.00003143447,0.9634106,0.010119339,0.023887224],"study_design_scores_gemma":[0.000010669804,0.000011455679,0.0043663424,0.00046266045,0.000007877165,0.00012024911,0.001872528,0.0001636792,0.00008310077,0.70720625,0.28568304,0.000012197438],"about_ca_topic_score_codex":0.0042108605,"about_ca_topic_score_gemma":0.004515861,"teacher_disagreement_score":0.008635928,"about_ca_system_score_codex":0.0057804137,"about_ca_system_score_gemma":0.002524907,"threshold_uncertainty_score":0.041940033},"labels":[],"label_agreement":null},{"id":"W4394742161","doi":"10.1016/j.ject.2024.04.002","title":"Estimating the influence of KIBS spillovers through the knowledge production function and the role of international trade","year":2024,"lang":"en","type":"article","venue":"Journal of Economy and Technology","topic":"Economic Growth and Productivity","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":"Production (economics); Scale (ratio); Returns to scale; Capital (architecture); Function (biology); Business; Industrial organization; Knowledge production; Scale effects; Economics; International trade; Microeconomics; Computer science; Knowledge management","score_opus":0.010772857572927718,"score_gpt":0.20926046022519548,"score_spread":0.19848760265226775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394742161","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":[0.9657403,0.0005942927,0.028998869,0.00031551757,0.00001133295,0.00003890684,0.00026833202,0.000038220518,0.0039941547],"genre_scores_gemma":[0.9966845,0.00021863087,0.0023302562,0.00001704217,0.000007423421,0.000012232465,0.00015308827,0.0000047686376,0.000572113],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997858,0.0013018547,0.00007687198,0.000365032,0.00016399448,0.00023418695],"domain_scores_gemma":[0.97038144,0.025599433,0.0023483317,0.0010164452,0.00040399135,0.0002503538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054055387,0.0006160015,0.00063117215,0.0018554378,0.00036257712,0.0028613585,0.000544941,0.00097505073,0.0021671813],"category_scores_gemma":[0.021011598,0.00038607576,0.0014098723,0.0019429456,0.00081824616,0.0022011003,0.0013373366,0.00080050953,0.00023967361],"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":[0.00031369957,0.00023234067,0.52349675,0.00016847588,0.0010352072,0.0005400707,0.0003931748,0.40758935,0.0010734772,0.023420403,0.0004334337,0.04130363],"study_design_scores_gemma":[0.000043146898,0.00029384525,0.28992602,0.00012477065,0.00072103227,0.00019386307,0.0011842534,0.6765387,0.0023616455,0.026424218,0.0021195004,0.000068940986],"about_ca_topic_score_codex":0.025509827,"about_ca_topic_score_gemma":0.012255068,"teacher_disagreement_score":0.025509827,"about_ca_system_score_codex":0.0015014632,"about_ca_system_score_gemma":0.0015233742,"threshold_uncertainty_score":0.05072272},"labels":[],"label_agreement":null},{"id":"W4394744730","doi":"10.1016/j.jedc.2024.104854","title":"Inflation targeting and firm performance in developing countries","year":2024,"lang":"en","type":"article","venue":"Journal of Economic Dynamics and Control","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":23,"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","funders":"","keywords":"Endogeneity; Economics; Inflation targeting; Monetary economics; Productivity; Inflation (cosmology); Developing country; Econometrics; Panel data; Macroeconomics; Monetary policy","score_opus":0.008318595737380238,"score_gpt":0.1944206930813798,"score_spread":0.18610209734399957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394744730","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":[0.9962568,0.001184424,0.0000712922,0.0005837238,0.000010501949,0.0000030847098,0.00021876852,0.000006676719,0.0016648389],"genre_scores_gemma":[0.9993685,0.00029316955,0.000010383509,0.000024219287,0.000010753887,8.396805e-7,0.0000962391,0.0000011237368,0.00019476165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953496,0.00012970789,0.00004371102,0.000043240765,0.000045686334,0.00020274243],"domain_scores_gemma":[0.99336064,0.0017229583,0.0034460893,0.00013312753,0.0005316251,0.0008055795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012394286,0.00023941028,0.000376387,0.0010513369,0.0004420899,0.0020693915,0.00029774747,0.0008374434,0.0017546144],"category_scores_gemma":[0.0043283855,0.00020266342,0.0002715124,0.0022350799,0.0007474095,0.0006847953,0.0007819657,0.000984112,0.00035165393],"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":[0.00063425966,0.00013289264,0.9871452,0.000040153747,0.00012403389,0.0004019725,0.00038112022,0.0028334958,0.00027587282,0.0021806534,0.0008440906,0.005006192],"study_design_scores_gemma":[0.00003188399,0.00012975393,0.9953022,0.000029885125,0.00008260256,0.000115743795,0.000762908,0.0018546925,0.00029433824,0.0006030425,0.00078229693,0.000010616634],"about_ca_topic_score_codex":0.021256369,"about_ca_topic_score_gemma":0.020710623,"teacher_disagreement_score":0.021256369,"about_ca_system_score_codex":0.0011257902,"about_ca_system_score_gemma":0.0009000217,"threshold_uncertainty_score":0.042265236},"labels":[],"label_agreement":null},{"id":"W4394847215","doi":"10.1016/j.tncr.2024.200062","title":"Looking under the carpet: A granular approach to the unusual productivity growth in Ireland","year":2024,"lang":"en","type":"article","venue":"Transnational Corporation Review","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Economic geography; Economics; Business; Agricultural economics; Economic growth","score_opus":0.048465774239180186,"score_gpt":0.24235536859419546,"score_spread":0.19388959435501527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394847215","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":[0.93681616,0.000815578,0.010000058,0.0041505555,0.00009633594,0.000086134634,0.0014478416,0.00011283208,0.0464745],"genre_scores_gemma":[0.9972029,0.0001517273,0.0009842084,0.00022863102,0.00003486458,0.000020218347,0.00025300778,0.000018511564,0.0011060694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857247,0.00029041478,0.00012263874,0.00031716892,0.00036039276,0.0003368167],"domain_scores_gemma":[0.99523515,0.0011994885,0.0020945685,0.0006440389,0.00048784984,0.00033893326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017041204,0.0002598805,0.0004000949,0.0046454603,0.00062049826,0.0040662987,0.0007841663,0.00064908055,0.0028128189],"category_scores_gemma":[0.007620312,0.00020403905,0.0005666672,0.0051864176,0.0027663838,0.0029404226,0.0043041,0.0010706439,0.0004309014],"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":[0.00041243006,0.00011924566,0.8446734,0.00026891418,0.00023603842,0.0017326949,0.009456464,0.009352379,0.0011599287,0.057933006,0.0071517923,0.06750359],"study_design_scores_gemma":[0.00002862843,0.0002689391,0.85545456,0.00029047168,0.00007278019,0.0006662797,0.029856918,0.015551469,0.0008065746,0.07457761,0.022292646,0.00013308144],"about_ca_topic_score_codex":0.015188171,"about_ca_topic_score_gemma":0.016535953,"teacher_disagreement_score":0.015188171,"about_ca_system_score_codex":0.002659158,"about_ca_system_score_gemma":0.0010652427,"threshold_uncertainty_score":0.030199528},"labels":[],"label_agreement":null},{"id":"W4398541674","doi":"10.7910/dvn/egwopg","title":"Replication Data for: \"Technology Adoption and Productivity Growth: Evidence from Industrialization in France\"","year":2023,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Replication (statistics); Productivity; Industrialisation; Biology; Economics; Economic growth; Market economy","score_opus":0.10801970929610415,"score_gpt":0.27359901306564716,"score_spread":0.165579303769543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398541674","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00049084984,0.00006883641,0.000088652174,0.00030807557,0.00010811253,0.000031772022,0.99790573,0.00021664563,0.0007813256],"genre_scores_gemma":[0.0013578072,0.00004295406,0.00028788493,0.0001261419,0.00003555716,0.0002044732,0.9959928,0.00006817291,0.0018841113],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966164,0.0007610384,0.00044917263,0.0006297892,0.0010053235,0.0005382639],"domain_scores_gemma":[0.9850612,0.002463529,0.0019831394,0.0037431659,0.005780188,0.0009687589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00400656,0.0016065317,0.001420073,0.003904445,0.001206187,0.0034161734,0.0035743418,0.0030860384,0.07063881],"category_scores_gemma":[0.023654325,0.0007887964,0.00197301,0.0066927085,0.0005869474,0.0012936422,0.0025804427,0.0026470427,0.056800947],"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":[0.000090905116,0.000027681772,0.0017705862,0.00019479076,0.000043428103,0.00001928953,0.000022282991,0.00017929383,0.00004059236,0.00042932818,0.99557745,0.0016042584],"study_design_scores_gemma":[0.0012841758,0.0000632693,0.038328145,0.00044715463,0.00008425932,0.00007478842,0.00019270217,0.0005486638,0.00036771572,0.0013858872,0.95714366,0.00007960397],"about_ca_topic_score_codex":0.09436857,"about_ca_topic_score_gemma":0.099351086,"teacher_disagreement_score":0.09436857,"about_ca_system_score_codex":0.0022782714,"about_ca_system_score_gemma":0.0053718346,"threshold_uncertainty_score":0.23631036},"labels":[],"label_agreement":null},{"id":"W4398630641","doi":"10.7910/dvn/dl4s2m/ayhjgx","title":"T3.do","year":2020,"lang":"it","type":"dataset","venue":"Harvard Dataverse","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Replication (statistics); Depression (economics); Great Depression; Psychology; Biology; Geography; Economics; Keynesian economics; Virology; Archaeology","score_opus":0.031317419786793525,"score_gpt":0.20888376701450245,"score_spread":0.17756634722770892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398630641","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006964339,0.000040288283,0.0008250005,0.00017916775,0.000050439903,0.000030884945,0.98927176,0.00492835,0.004604416],"genre_scores_gemma":[0.0025311077,0.00019398831,0.0042654704,0.00069497316,0.000121631994,0.00089746644,0.97008836,0.008612577,0.012594435],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99805033,0.00053820055,0.0002468474,0.0005510713,0.00027763037,0.00033589546],"domain_scores_gemma":[0.9932632,0.0029076603,0.0006046043,0.0019267902,0.0007731185,0.0005247097],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002279976,0.0019997624,0.0020784372,0.0038494458,0.00082367053,0.0039985953,0.0029699043,0.0019786488,0.57963234],"category_scores_gemma":[0.01856085,0.0014641951,0.0013651092,0.0064742286,0.00061248365,0.0026083705,0.0029095807,0.003014435,0.5740361],"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":[0.000042100033,0.000009649331,0.000308815,0.000239385,0.000017291399,0.000007768563,0.000017959337,0.000104994586,0.00003929532,0.0007563313,0.99513984,0.003316555],"study_design_scores_gemma":[0.00026694057,0.00001675065,0.0009774566,0.0002369986,0.000028439112,0.00003068483,0.000048904018,0.0004626165,0.00025762414,0.005412921,0.99223375,0.000026944566],"about_ca_topic_score_codex":0.0064264736,"about_ca_topic_score_gemma":0.010052165,"teacher_disagreement_score":0.42036766,"about_ca_system_score_codex":0.00088476145,"about_ca_system_score_gemma":0.0019339232,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4399125382","doi":"10.18280/ijsdp.190535","title":"Enhancing Human Capital in Indonesia: Does Economic Policy Work?","year":2024,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Human capital; Natural resource economics; Business; Economics; Economic policy; Economic growth; Engineering","score_opus":0.014514850270480684,"score_gpt":0.243972921259823,"score_spread":0.22945807098934232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399125382","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":[0.60234207,0.03808084,0.0036610514,0.1980884,0.00095964293,0.00011184732,0.0018765302,0.00009702954,0.15478261],"genre_scores_gemma":[0.9827886,0.010990713,0.00046106623,0.0019530866,0.00011430003,0.000020974881,0.00012650849,0.0000077806935,0.0035369454],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99898833,0.0003705463,0.000034851666,0.000070974784,0.00010736698,0.00042785844],"domain_scores_gemma":[0.997542,0.0009218581,0.0005679674,0.0000612549,0.0002607556,0.0006461627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020855614,0.00029513717,0.00048524488,0.0008467311,0.00083422015,0.0039891414,0.0005120275,0.0007228863,0.0038784812],"category_scores_gemma":[0.0044690697,0.00017194248,0.0002053943,0.0016091197,0.0016513523,0.002214504,0.0014731382,0.00119033,0.000357345],"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":[0.0007697293,0.0012879702,0.33702978,0.0021286688,0.0004155817,0.0018070631,0.0034471021,0.039016176,0.00093263993,0.18890095,0.053297643,0.37096676],"study_design_scores_gemma":[0.00021119234,0.0004207205,0.6326039,0.0041569504,0.0003838896,0.0003751867,0.017103652,0.034331053,0.002422875,0.15011467,0.15775912,0.00011688982],"about_ca_topic_score_codex":0.0328451,"about_ca_topic_score_gemma":0.03752621,"teacher_disagreement_score":0.0328451,"about_ca_system_score_codex":0.004317655,"about_ca_system_score_gemma":0.0076562203,"threshold_uncertainty_score":0.065307856},"labels":[],"label_agreement":null},{"id":"W4399281579","doi":"10.1016/j.jeca.2024.e00368","title":"Asymmetric effects between economic development and fertility: What do 140 years of data tell us?","year":2024,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fertility; Economics; Demography; Sociology; Population","score_opus":0.04631244367837835,"score_gpt":0.2534310328720184,"score_spread":0.20711858919364007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399281579","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":[0.5400976,0.2278784,0.008922868,0.102600954,0.0034191594,0.00010582454,0.09212593,0.00020833488,0.024640936],"genre_scores_gemma":[0.88633806,0.053543296,0.0029192609,0.019234085,0.0028138508,0.00012144277,0.032929078,0.00021190137,0.0018890977],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945926,0.0016836267,0.0011607738,0.00084738195,0.0011073424,0.00060817035],"domain_scores_gemma":[0.8530404,0.0867177,0.029729838,0.01650729,0.009739471,0.004265228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015464904,0.00047277805,0.0017349437,0.0033132227,0.00056474574,0.0035547498,0.0013592268,0.0019738108,0.006001394],"category_scores_gemma":[0.0687286,0.0007661697,0.0016572548,0.0061881174,0.002209919,0.0079586515,0.0029768434,0.0038604012,0.0019391894],"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":[0.0007653802,0.00019134105,0.82665575,0.0018518167,0.0046007945,0.00029561738,0.0013610387,0.0012449784,0.00037636294,0.009597827,0.046433255,0.10662592],"study_design_scores_gemma":[0.00008185317,0.00015155623,0.8739882,0.0030036622,0.0015171024,0.0004622435,0.0025137584,0.0005782779,0.0004547808,0.016058322,0.10104976,0.00014045068],"about_ca_topic_score_codex":0.017803723,"about_ca_topic_score_gemma":0.020419268,"teacher_disagreement_score":0.017803723,"about_ca_system_score_codex":0.0010929103,"about_ca_system_score_gemma":0.0024597347,"threshold_uncertainty_score":0.08178717},"labels":[],"label_agreement":null},{"id":"W4399471681","doi":"10.61186/qjerp.31.108.133","title":"Analysis of Scale-Based Growth Capacities in Iran's Manufacturing Sector","year":2024,"lang":"en","type":"article","venue":"Quarterly Journal of Economic Research and Policies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Library of Parliament","funders":"","keywords":"Scale (ratio); Manufacturing sector; Business; Economics; Geography; Cartography; Macroeconomics","score_opus":0.09063208637291979,"score_gpt":0.3129544986273389,"score_spread":0.22232241225441907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399471681","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":[0.98332745,0.00025981647,0.0037549853,0.00022996303,0.0000060421753,0.000053127533,0.0003451897,0.00003149948,0.01199186],"genre_scores_gemma":[0.9988018,0.000096329015,0.0005134256,0.0000054014013,0.00000413316,0.000008935521,0.00015436817,0.000002521555,0.00041290824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953043,0.00008874817,0.00001955639,0.0000522471,0.0001634798,0.00014554219],"domain_scores_gemma":[0.9974511,0.0011037528,0.00065631664,0.00015043991,0.00046215006,0.0001760791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010871948,0.00022902362,0.00021146072,0.0023626056,0.00021808041,0.0012742032,0.00044209606,0.00026943523,0.0025558504],"category_scores_gemma":[0.0040491195,0.00012819703,0.0006015707,0.0023851718,0.0006378088,0.0010623342,0.0006661688,0.00038098305,0.00023572934],"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":[0.00022917573,0.00017551046,0.64614934,0.00023431597,0.00014000443,0.0016901413,0.0013304168,0.19583422,0.0024461257,0.07145323,0.002633085,0.07768441],"study_design_scores_gemma":[0.000025330753,0.00020034827,0.7203307,0.000070315975,0.00006571983,0.00038558192,0.005142529,0.2451687,0.0013479029,0.020837152,0.006385721,0.000039975985],"about_ca_topic_score_codex":0.010288636,"about_ca_topic_score_gemma":0.005446474,"teacher_disagreement_score":0.010288636,"about_ca_system_score_codex":0.0017521925,"about_ca_system_score_gemma":0.0010226264,"threshold_uncertainty_score":0.020457506},"labels":[],"label_agreement":null},{"id":"W4399535181","doi":"10.1007/978-3-031-52565-0_3","title":"R&amp;D Strategy and Planning","year":2024,"lang":"en","type":"book-chapter","venue":"Signals and communication technology","topic":"Economic Growth and Productivity","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 Canada West","funders":"","keywords":"Computer science; Business","score_opus":0.06294851777824763,"score_gpt":0.24755481584800557,"score_spread":0.18460629806975792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399535181","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022471806,0.0087620085,0.034072276,0.004547936,0.00027993965,0.000060901617,0.0002712836,0.00012682458,0.94963163],"genre_scores_gemma":[0.14001706,0.022844505,0.026384076,0.0011422033,0.00037170466,0.00013358824,0.0002724241,0.00018246118,0.808652],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996531,0.00007779345,0.000011782401,0.00007091873,0.00014356448,0.000042805194],"domain_scores_gemma":[0.99973184,0.000110701156,0.00002359334,0.000038525886,0.00006548439,0.000029858016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004581203,0.0007412424,0.00033221542,0.00085177337,0.0005294293,0.005881551,0.00072170753,0.0015579038,0.022678759],"category_scores_gemma":[0.0012585405,0.00039120103,0.00020210535,0.0014569042,0.0013538639,0.0026253986,0.00062378653,0.001159934,0.008868844],"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":[0.000009405752,0.0000132602145,0.00012987522,0.000058664587,0.000004312547,0.000037710157,0.00006601401,0.004742897,0.00041690812,0.8863119,0.029573381,0.07863553],"study_design_scores_gemma":[0.0000055036353,0.000014742433,0.00032819927,0.0000889711,0.0000048663073,0.00007185858,0.00012435425,0.0052808085,0.0010617594,0.5264758,0.46653223,0.000010895838],"about_ca_topic_score_codex":0.006250801,"about_ca_topic_score_gemma":0.008340742,"teacher_disagreement_score":0.022678759,"about_ca_system_score_codex":0.0034274438,"about_ca_system_score_gemma":0.0034542803,"threshold_uncertainty_score":0.07586801},"labels":[],"label_agreement":null},{"id":"W4399822730","doi":"10.1515/9782760541146-011","title":"Les structures industrielles et la croissance économique au Canada","year":2014,"lang":"fr","type":"book-chapter","venue":"Presses de l'Université du Québec eBooks","topic":"Economic Growth and Productivity","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":"Political science","score_opus":0.020582684170752763,"score_gpt":0.16884330583991378,"score_spread":0.148260621669161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399822730","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24098471,0.07133361,0.008808249,0.03452947,0.0005584739,0.00008958244,0.002795799,0.00024213882,0.64065796],"genre_scores_gemma":[0.657446,0.0284044,0.005102548,0.0008600366,0.00016512214,0.000037623828,0.00075788045,0.00010362724,0.30712277],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987955,0.00010385115,0.000025597861,0.00014800043,0.00055419904,0.00037278837],"domain_scores_gemma":[0.99884063,0.00024838708,0.00009362785,0.00005167486,0.00059181626,0.00017392979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006270434,0.00053964084,0.0004232331,0.0026273371,0.004991715,0.0068016537,0.00085873937,0.0011944307,0.013697863],"category_scores_gemma":[0.0023317458,0.00057265273,0.00044717386,0.006317971,0.0040494716,0.0015456658,0.00060836837,0.00229721,0.0008064532],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000984501,0.000046492256,0.012224238,0.00012560083,0.00003620254,0.00016138049,0.0035980712,0.0067451512,0.0011347256,0.82056016,0.03690936,0.11836013],"study_design_scores_gemma":[0.00004614514,0.000030212746,0.13600466,0.00045457596,0.000032339998,0.00013267569,0.0045197536,0.0062804087,0.0007495408,0.08864003,0.7630262,0.000083485334],"about_ca_topic_score_codex":0.99633646,"about_ca_topic_score_gemma":0.99757177,"teacher_disagreement_score":0.12535942,"about_ca_system_score_codex":0.12535942,"about_ca_system_score_gemma":0.12288973,"threshold_uncertainty_score":0.9095505},"labels":[],"label_agreement":null},{"id":"W4399893344","doi":"10.54254/2753-8818/39/20240592","title":"Applications of three distinct regression models in GDP predication","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Proper linear model; Regression diagnostic; Linear regression; Regression analysis; Econometrics; Regression; Segmented regression; Linear model; Cross-sectional regression; Nonlinear regression; Local regression; Statistics; Simple linear regression; Linear predictor function; Mathematics; Polynomial regression; Computer science","score_opus":0.012941286351029004,"score_gpt":0.23277025236438623,"score_spread":0.21982896601335722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399893344","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":[0.028617013,0.0054645156,0.91915596,0.004414016,0.00077699946,0.00021586026,0.001060762,0.0013181005,0.038976774],"genre_scores_gemma":[0.5510172,0.012470702,0.3999962,0.00094819174,0.0010075839,0.00078646926,0.0022538258,0.0006482932,0.030871538],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967705,0.0011818305,0.00019845142,0.00053729076,0.0010301501,0.00028176786],"domain_scores_gemma":[0.99701786,0.0015527483,0.00038183542,0.00028400845,0.00065849564,0.00010511761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036174243,0.0020838184,0.001320157,0.0035407904,0.0007622979,0.00350604,0.0028332004,0.0021333222,0.0041097165],"category_scores_gemma":[0.012226109,0.00062319526,0.0030621109,0.005542046,0.0009899026,0.0028857999,0.0028946425,0.0028036747,0.0021289526],"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":[0.00027592815,0.00030842703,0.02402453,0.0006936284,0.00041207817,0.0007418634,0.00071263046,0.24298893,0.0015575481,0.37470463,0.016359398,0.33722043],"study_design_scores_gemma":[0.00004300761,0.00011560498,0.006070786,0.00020735858,0.00019194788,0.0004784141,0.0004185264,0.84235513,0.0016439018,0.11276662,0.03554502,0.00016368096],"about_ca_topic_score_codex":0.009245518,"about_ca_topic_score_gemma":0.006530532,"teacher_disagreement_score":0.009245518,"about_ca_system_score_codex":0.001498045,"about_ca_system_score_gemma":0.0018430453,"threshold_uncertainty_score":0.019131005},"labels":[],"label_agreement":null},{"id":"W4400080210","doi":"10.2139/ssrn.4878618","title":"Does Growth Lead to Labor Reallocation? Role of Own-Product Improvement vs. Product Expansion","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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 de Montréal","funders":"","keywords":"Product (mathematics); Lead (geology); Business; Economics; Mathematics; Geology","score_opus":0.009288225726755205,"score_gpt":0.21702684858276747,"score_spread":0.20773862285601227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400080210","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":[0.8846811,0.0066327318,0.008981056,0.014779148,0.0003990238,0.00009962142,0.0011144049,0.00022242656,0.08309043],"genre_scores_gemma":[0.9900883,0.0016541015,0.0003649199,0.00034754348,0.00019911394,0.000011805817,0.00011770736,0.000037427642,0.007179138],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99947673,0.00012253366,0.00002194018,0.00013381235,0.000049198843,0.0001958338],"domain_scores_gemma":[0.9908075,0.005501567,0.0016665034,0.00036134254,0.00044854928,0.0012145456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001869067,0.00075005484,0.001288888,0.0007590815,0.0005836088,0.0034448418,0.0008681315,0.0019809543,0.03615614],"category_scores_gemma":[0.006348016,0.0003343758,0.0011734555,0.000819399,0.0019140225,0.003835095,0.0014314137,0.0013056713,0.0026686306],"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":[0.012043659,0.0017770083,0.27967012,0.0030887197,0.0009023819,0.006617894,0.0020477031,0.037974045,0.02734261,0.42364183,0.02187391,0.18302023],"study_design_scores_gemma":[0.0008948613,0.001952271,0.3396127,0.0006917792,0.0014061292,0.0016307029,0.008986618,0.06598202,0.012119667,0.5399197,0.026634721,0.00016886966],"about_ca_topic_score_codex":0.0035807888,"about_ca_topic_score_gemma":0.0027364565,"teacher_disagreement_score":0.03615614,"about_ca_system_score_codex":0.0010886255,"about_ca_system_score_gemma":0.0013053156,"threshold_uncertainty_score":0.120954335},"labels":[],"label_agreement":null},{"id":"W4400152475","doi":"10.1787/59450d15-en","title":"Barriers to technology diffusion","year":2006,"lang":"en","type":"report","venue":"OECD/IEA climate change expert group papers","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Resources Canada","keywords":"Diffusion; Computer science; Physics; Thermodynamics","score_opus":0.05319715533651282,"score_gpt":0.2573712888656753,"score_spread":0.20417413352916247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400152475","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08988802,0.003467756,0.023856385,0.013687064,0.0001244989,0.0003034461,0.00072784995,0.00019465107,0.8677503],"genre_scores_gemma":[0.915142,0.0024157246,0.004066694,0.0015650819,0.0001573149,0.00033408636,0.00044854652,0.0001269691,0.07574358],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9931677,0.0016135997,0.0004815263,0.0012552945,0.0020177017,0.0014642433],"domain_scores_gemma":[0.9694704,0.021302588,0.0026627819,0.0027282909,0.002651752,0.0011843229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057863058,0.0005257322,0.00082655885,0.0029462466,0.0024342614,0.01155633,0.0013542578,0.0033169547,0.07529315],"category_scores_gemma":[0.03936846,0.00044519466,0.0009577386,0.0029470874,0.0032563983,0.008473457,0.0064711464,0.003686392,0.010360933],"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":[0.00006641235,0.00006185568,0.0043385224,0.00025217497,0.000033819073,0.0003950148,0.0024360223,0.001292478,0.0005699377,0.95962524,0.006152275,0.024776226],"study_design_scores_gemma":[0.00011677488,0.00013992605,0.009291625,0.0008043946,0.00007900035,0.00096190424,0.0046769744,0.003264102,0.0017010691,0.7088148,0.2700938,0.00005565885],"about_ca_topic_score_codex":0.005074834,"about_ca_topic_score_gemma":0.003089185,"teacher_disagreement_score":0.07529315,"about_ca_system_score_codex":0.0037066122,"about_ca_system_score_gemma":0.0045419596,"threshold_uncertainty_score":0.2518807},"labels":[],"label_agreement":null},{"id":"W4400152849","doi":"10.1787/3d4b7785-en","title":"Competition, Patents and Innovation ","year":2008,"lang":"en","type":"report","venue":"OECD competition law and policy working papers.","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Competition (biology); Business; Industrial organization; Biology","score_opus":0.0661156582165116,"score_gpt":0.2551977477113861,"score_spread":0.18908208949487448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400152849","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017047992,0.20628387,0.002364271,0.09004844,0.0010212847,0.00003715351,0.0009806311,0.000035906305,0.6821805],"genre_scores_gemma":[0.652631,0.16788372,0.0014791779,0.01276752,0.0029654827,0.0001202612,0.00069695467,0.000027942624,0.16142799],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99816906,0.0005293321,0.00006701618,0.000202143,0.00065222103,0.00038025106],"domain_scores_gemma":[0.9971301,0.0018068083,0.00040987998,0.000064524975,0.00041370268,0.00017509455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016670974,0.0003927628,0.00045570018,0.0030634867,0.0017261911,0.005471267,0.00037674973,0.0027452817,0.016100222],"category_scores_gemma":[0.0041802446,0.0001280674,0.00033138698,0.005014096,0.0036448212,0.0039059864,0.0012474242,0.0018810342,0.0014205349],"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":[0.000019300667,0.000028184688,0.0015719805,0.00013877833,0.000014032993,0.00012536526,0.0002682477,0.0007647512,0.00008149088,0.9250629,0.04481112,0.027113775],"study_design_scores_gemma":[0.000016243512,0.000050475468,0.0066228984,0.0005784541,0.000016691649,0.00018332042,0.00059470546,0.00042215642,0.00025525465,0.56046194,0.4307659,0.000031963766],"about_ca_topic_score_codex":0.012563931,"about_ca_topic_score_gemma":0.013504507,"teacher_disagreement_score":0.016100222,"about_ca_system_score_codex":0.006374141,"about_ca_system_score_gemma":0.0050126216,"threshold_uncertainty_score":0.053860605},"labels":[],"label_agreement":null},{"id":"W4400239175","doi":"10.2139/ssrn.4878912","title":"Industrial Policy in the Global Semiconductor Sector","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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 British Columbia; University of British Columbia Hospital","funders":"","keywords":"Semiconductor; Business; Industrial organization; Semiconductor industry; Materials science; Manufacturing engineering; Optoelectronics; Engineering","score_opus":0.04692463964642565,"score_gpt":0.25362425915724973,"score_spread":0.20669961951082408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400239175","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":[0.46038955,0.021894991,0.004695805,0.15826894,0.00077632145,0.00003383145,0.0009714195,0.00011347652,0.3528556],"genre_scores_gemma":[0.9689465,0.0065576136,0.00027101501,0.0038302145,0.00041216798,0.000011633694,0.00015343279,0.000025896554,0.019791532],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999052,0.0003150612,0.000027900614,0.00011036118,0.00014219011,0.00035248147],"domain_scores_gemma":[0.998565,0.000685498,0.00027305554,0.000066529356,0.0002136589,0.00019627713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015111968,0.00024435276,0.0003354715,0.001429469,0.0009640597,0.0054927142,0.0002891366,0.0029639828,0.0080869915],"category_scores_gemma":[0.00442123,0.00015622363,0.0003675496,0.0037178264,0.0015940791,0.0023098995,0.0011878631,0.0017281034,0.00080980104],"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":[0.00047143296,0.0001323205,0.027253045,0.00024435122,0.000050382037,0.0006221948,0.0008531608,0.01914777,0.0011596171,0.85748696,0.030347062,0.062231716],"study_design_scores_gemma":[0.00013546187,0.00018051345,0.08901807,0.0007174678,0.00010449159,0.00035607925,0.0062179305,0.0126355365,0.0030619828,0.65753883,0.22998606,0.000047576304],"about_ca_topic_score_codex":0.017361764,"about_ca_topic_score_gemma":0.018367076,"teacher_disagreement_score":0.017361764,"about_ca_system_score_codex":0.0065811183,"about_ca_system_score_gemma":0.0049141953,"threshold_uncertainty_score":0.04774952},"labels":[],"label_agreement":null},{"id":"W4400431699","doi":"10.1111/caje.12719","title":"The plant‐level view of Korea's growth miracle and slowdown","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"National Science Foundation of Sri Lanka; National Science Foundation","keywords":"Miracle; Slowdown; Economics; Economic slowdown; Keynesian economics; Macroeconomics; Political science; Economic growth","score_opus":0.15288192051935579,"score_gpt":0.17488038182274673,"score_spread":0.021998461303390948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400431699","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":[0.9944358,0.00042292802,0.00049228035,0.00038377004,0.000004100574,0.000002737705,0.00029063786,0.00001704543,0.0039506266],"genre_scores_gemma":[0.99934417,0.0001101625,0.000063270774,0.000025778925,0.000003230783,9.693402e-7,0.00006606715,0.000002814131,0.00038353662],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999083,0.000008386873,0.00000485531,0.000023354547,0.000015508745,0.000039519437],"domain_scores_gemma":[0.999119,0.00010267077,0.0004010751,0.000056128498,0.00018399474,0.00013719306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046219764,0.00013869339,0.00019621258,0.0012202407,0.00021339358,0.0012129147,0.00021912843,0.0002679576,0.0029172434],"category_scores_gemma":[0.00095461064,0.0001506984,0.0002140177,0.001141009,0.00061957934,0.000917967,0.00050795503,0.0004344031,0.00028451008],"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":[0.00046809186,0.000071345916,0.89742094,0.00017446832,0.00010125658,0.0008225098,0.0021127758,0.011084469,0.019396449,0.023755116,0.0018007617,0.042791728],"study_design_scores_gemma":[0.0000036145875,0.000055599226,0.99018574,0.000023815795,0.000014637112,0.00011156285,0.0011378742,0.0030291788,0.0009354512,0.0016526638,0.0028383175,0.000011442363],"about_ca_topic_score_codex":0.011788132,"about_ca_topic_score_gemma":0.010542363,"teacher_disagreement_score":0.011788132,"about_ca_system_score_codex":0.0011963443,"about_ca_system_score_gemma":0.0004769899,"threshold_uncertainty_score":0.02343905},"labels":[],"label_agreement":null},{"id":"W4400648555","doi":"10.2139/ssrn.4892207","title":"Industry Life Cycles in General Equilibrium &lt;br&gt;","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Economics; General equilibrium theory; Mathematical economics; Keynesian economics; Macroeconomics","score_opus":0.024522598612521894,"score_gpt":0.23278209380342754,"score_spread":0.20825949519090564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400648555","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":[0.3846301,0.006977476,0.4842595,0.012359905,0.00050882564,0.00021636805,0.0074321013,0.0011178638,0.10249792],"genre_scores_gemma":[0.89251494,0.00435474,0.025982073,0.0008784829,0.00032503635,0.00027736195,0.002855437,0.00044567537,0.07236627],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99957067,0.0001617058,0.00001525369,0.00010417327,0.000063320855,0.00008493557],"domain_scores_gemma":[0.99786973,0.001287192,0.00029137154,0.00015209222,0.00021081467,0.00018886963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001354708,0.00060766,0.0015398375,0.0016908129,0.00077704934,0.0023355815,0.0013592195,0.0020389336,0.0205913],"category_scores_gemma":[0.008734292,0.0007818323,0.0013110776,0.0023290152,0.0011906141,0.0036616342,0.0011462927,0.0013941693,0.0024319768],"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":[0.00008169013,0.00005048343,0.0019558086,0.00014954424,0.00007956806,0.00019823886,0.00019601603,0.14967388,0.0005144633,0.8186157,0.014046949,0.014437776],"study_design_scores_gemma":[0.000038362337,0.000020427022,0.0011401328,0.000037484326,0.00002853164,0.00010847153,0.00007659107,0.31468144,0.00015063184,0.6776851,0.00600684,0.000026032223],"about_ca_topic_score_codex":0.015572949,"about_ca_topic_score_gemma":0.008933525,"teacher_disagreement_score":0.0205913,"about_ca_system_score_codex":0.0020372286,"about_ca_system_score_gemma":0.0013961324,"threshold_uncertainty_score":0.06888473},"labels":[],"label_agreement":null},{"id":"W4400722017","doi":"10.3390/jrfm17070306","title":"Productivity and Keynes’s 15-Hour Work Week Prediction for 2030: An Alternative, Macroeconomic Analysis for the United States","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"Università degli Studi dell'Insubria; Universität Rostock; University of Macedonia; Universität Siegen; Harvard University","keywords":"Productivity; Microdata (statistics); Economics; Working time; Macroeconomics; Consumption (sociology); Work (physics); Econometrics; Sociology; Engineering","score_opus":0.021880577648888334,"score_gpt":0.22387500635126945,"score_spread":0.2019944287023811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400722017","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":[0.9400836,0.002022096,0.03282185,0.003377998,0.00026045332,0.00003859813,0.007291742,0.00010430892,0.013999256],"genre_scores_gemma":[0.99288875,0.0005482292,0.001764955,0.0000931543,0.00008755127,0.000026540418,0.0031173546,0.00001885943,0.0014546639],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998342,0.000026603451,0.0000143703855,0.00005701029,0.000033903954,0.00003393831],"domain_scores_gemma":[0.99871147,0.00054199866,0.0002965847,0.00009979914,0.00021744403,0.00013280302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094856217,0.0002964112,0.00024224649,0.001141278,0.00033644354,0.001411434,0.00038966312,0.0004143987,0.003191902],"category_scores_gemma":[0.0040931497,0.00011946977,0.00065739924,0.0012820332,0.0003441702,0.0012977999,0.00061592046,0.00097511587,0.00050729746],"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":[0.0004138815,0.00017955726,0.59621567,0.0001956777,0.00026703408,0.00043706296,0.0015919481,0.20881248,0.0010862356,0.110137954,0.020550314,0.060112204],"study_design_scores_gemma":[0.00007497227,0.00034367392,0.53050977,0.00019963531,0.00016206261,0.00016790502,0.0022481023,0.31790698,0.0020458042,0.09639228,0.04983913,0.00010970538],"about_ca_topic_score_codex":0.0156120835,"about_ca_topic_score_gemma":0.0080091255,"teacher_disagreement_score":0.0156120835,"about_ca_system_score_codex":0.0009024841,"about_ca_system_score_gemma":0.0004933444,"threshold_uncertainty_score":0.031042457},"labels":[],"label_agreement":null},{"id":"W4400906162","doi":"10.2139/ssrn.4903261","title":"When Context Matters: Uneven Firms’ Innovation Persistence in Developing Countries. Evidence from Uruguay","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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 Toronto","funders":"","keywords":"Persistence (discontinuity); Context (archaeology); Developing country; Economic geography; Economics; Business; Economic growth; Geography; Engineering","score_opus":0.05016119738995271,"score_gpt":0.23952261171169328,"score_spread":0.18936141432174058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400906162","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":[0.996298,0.0013655439,0.00006666309,0.00032768317,0.0000040644195,0.000004259354,0.00021760211,0.000002771302,0.0017134268],"genre_scores_gemma":[0.99940753,0.0002883146,0.000022197606,0.000015269658,0.0000039725574,0.0000022139793,0.00009401007,0.000002310495,0.00016429818],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99889815,0.00034684123,0.000093547926,0.00018710109,0.00010956246,0.00036474352],"domain_scores_gemma":[0.98920095,0.0034930704,0.0045395894,0.0006317583,0.001296847,0.0008376939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021505663,0.0002334557,0.00068259006,0.0016607804,0.001053321,0.0020261412,0.00057846156,0.0005013076,0.0026822316],"category_scores_gemma":[0.009140887,0.00025028313,0.00037980362,0.003727661,0.0015406485,0.0018836404,0.0032378125,0.0006854525,0.00031604376],"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":[0.00043080925,0.00006398616,0.9749053,0.00011164494,0.00010837936,0.00045712476,0.00698471,0.0003957338,0.000674505,0.0014527132,0.0004209492,0.013994176],"study_design_scores_gemma":[0.000004793588,0.000034695146,0.9963775,0.000037881964,0.0000339793,0.000034799396,0.0025701565,0.00016478448,0.00012004835,0.00018728207,0.0004291349,0.0000049211276],"about_ca_topic_score_codex":0.12807019,"about_ca_topic_score_gemma":0.13357852,"teacher_disagreement_score":0.12807019,"about_ca_system_score_codex":0.0012268663,"about_ca_system_score_gemma":0.0009458691,"threshold_uncertainty_score":0.25464946},"labels":[],"label_agreement":null},{"id":"W4401066646","doi":"10.3386/w32750","title":"The Micro and Macro Productivity of Nations","year":2024,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canada Research Chairs","keywords":"Macro; Productivity; Data science; Computer science; Economics; Macroeconomics; Programming language","score_opus":0.32458764111372923,"score_gpt":0.45522183831931423,"score_spread":0.130634197205585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401066646","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9414997,0.00092239026,0.002567327,0.00041988192,0.0000293691,0.00002808024,0.021649012,0.00006771653,0.032816466],"genre_scores_gemma":[0.9881092,0.00068567035,0.0012074192,0.00003846484,0.000024551895,0.000046213703,0.0065790936,0.000016016695,0.0032934407],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99954885,0.00011651165,0.000030204788,0.00010642636,0.00011000196,0.000088059656],"domain_scores_gemma":[0.99696845,0.000852892,0.0012433203,0.00031107117,0.00039614868,0.0002282133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008410945,0.00026572793,0.00025616563,0.002733368,0.00024204052,0.001492944,0.0001537904,0.00022094927,0.003846726],"category_scores_gemma":[0.00526374,0.0001414069,0.00029690613,0.004187528,0.0003415647,0.0010705272,0.0008663817,0.00033603274,0.0009030346],"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":[0.00010445508,0.000042780553,0.93250835,0.00009573735,0.00028791314,0.00017155736,0.0010450436,0.00976607,0.0008714179,0.015893064,0.0047860164,0.034427512],"study_design_scores_gemma":[0.0000041747994,0.00005443545,0.97852075,0.000043646527,0.000039104576,0.00015123858,0.00093683985,0.003887697,0.00049237633,0.003711836,0.012138445,0.000019510295],"about_ca_topic_score_codex":0.009363561,"about_ca_topic_score_gemma":0.007019725,"teacher_disagreement_score":0.009363561,"about_ca_system_score_codex":0.00058695587,"about_ca_system_score_gemma":0.000270644,"threshold_uncertainty_score":0.018618107},"labels":[],"label_agreement":null},{"id":"W4401218838","doi":"10.2139/ssrn.4908563","title":"The Micro and Macro Productivity of Nations","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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 Toronto","funders":"","keywords":"Macro; Productivity; Computer science; Economics; Macroeconomics; Programming language","score_opus":0.010586489300284154,"score_gpt":0.20601521794038574,"score_spread":0.19542872864010158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401218838","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":[0.8796272,0.007687544,0.0064423974,0.0070947288,0.00038669445,0.00001433262,0.006128837,0.00008069171,0.09253754],"genre_scores_gemma":[0.9903278,0.002571962,0.00057311443,0.00010044812,0.00013624382,0.000011212761,0.000689889,0.00001070174,0.0055787377],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964714,0.0001347316,0.000019182751,0.00004497176,0.00009592959,0.000057983274],"domain_scores_gemma":[0.9971437,0.0013465777,0.0006860725,0.0001829025,0.00035308406,0.00028772434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009831842,0.00017872284,0.00019040116,0.0016995845,0.00025730164,0.0018298434,0.00012383176,0.00028845982,0.0049121347],"category_scores_gemma":[0.0059005376,0.00011597407,0.0001813695,0.0028989317,0.00062288763,0.0019762865,0.00072780414,0.00057362264,0.0007054332],"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":[0.00017845364,0.000068080226,0.5792681,0.00016410221,0.0003188313,0.00045316468,0.002179175,0.012894843,0.00085951923,0.29374015,0.021359013,0.08851678],"study_design_scores_gemma":[0.00001566717,0.0001532338,0.7418396,0.00023760808,0.000119526194,0.0005757304,0.0052525764,0.012402295,0.001030145,0.16431548,0.07401149,0.00004667772],"about_ca_topic_score_codex":0.00447855,"about_ca_topic_score_gemma":0.0044330475,"teacher_disagreement_score":0.0049121347,"about_ca_system_score_codex":0.00062145176,"about_ca_system_score_gemma":0.00046491888,"threshold_uncertainty_score":0.016432762},"labels":[],"label_agreement":null},{"id":"W4401721073","doi":"10.1177/2694105820230304004","title":"How Modern Tech Companies Differ from the Twentieth Century's Industrial Giants","year":2023,"lang":"en","type":"article","venue":"Management and business review.","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Economic history; Business; History","score_opus":0.07006325045919388,"score_gpt":0.22208660930935092,"score_spread":0.15202335885015705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401721073","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":[0.43748292,0.22773959,0.0007648519,0.1837877,0.0020345151,0.00001983818,0.00046672556,0.000032122945,0.14767176],"genre_scores_gemma":[0.85917705,0.101408266,0.00036518203,0.0252682,0.0010453559,0.000015066754,0.00032659338,0.000041880005,0.012352383],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998776,0.00032610627,0.00006252731,0.00013741107,0.00039558485,0.0003024236],"domain_scores_gemma":[0.9977677,0.0009039107,0.00038469932,0.00009275804,0.0005164212,0.00033458226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020321347,0.00008935633,0.00017274806,0.0016974185,0.00090355956,0.0048194192,0.000208688,0.0010578769,0.0015822185],"category_scores_gemma":[0.004337762,0.000120047145,0.00013575204,0.0022182844,0.0018665573,0.0037613804,0.0009273253,0.0015107099,0.00037663447],"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":[0.00038243248,0.00013075965,0.06475294,0.000899657,0.00016841879,0.00091094244,0.04588703,0.00066482153,0.0026835399,0.4212045,0.14788184,0.31443313],"study_design_scores_gemma":[0.000032583674,0.00012167556,0.15493007,0.00063805387,0.000040793893,0.00053487596,0.02726627,0.00015145427,0.0005706788,0.039276607,0.7763894,0.00004751153],"about_ca_topic_score_codex":0.009914877,"about_ca_topic_score_gemma":0.026172005,"teacher_disagreement_score":0.009914877,"about_ca_system_score_codex":0.0016894765,"about_ca_system_score_gemma":0.0015661094,"threshold_uncertainty_score":0.019714355},"labels":[],"label_agreement":null},{"id":"W4401933939","doi":"10.18280/ijsdp.190825","title":"Human Development in Vietnam: A Systematic Review","year":2024,"lang":"en","type":"review","venue":"International Journal of Sustainable Development and Planning","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental planning; Human development (humanity); Systematic review; Geography; Political science; MEDLINE; Economic growth; Economics","score_opus":0.05556085436803632,"score_gpt":0.3001810347260138,"score_spread":0.2446201803579775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401933939","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00044434116,0.9984615,0.00008224107,0.00020643683,0.00008731379,0.00013252185,0.0003029307,0.000004320551,0.0002784096],"genre_scores_gemma":[0.0041240137,0.9949757,0.00021811828,0.00020320198,0.000037133235,0.00018350697,0.00016300028,0.0000021667302,0.00009332277],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9968136,0.0009906624,0.0010074066,0.00027343218,0.0007695196,0.0001453853],"domain_scores_gemma":[0.98590696,0.010038531,0.0020246499,0.00021934147,0.0015544987,0.00025605178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004965201,0.0011276245,0.0042333277,0.01105766,0.00077801483,0.0023596708,0.0015773808,0.0013004098,0.0059774253],"category_scores_gemma":[0.018298347,0.0007330257,0.0033022342,0.014289891,0.0007445286,0.0023233206,0.0014237609,0.0009562356,0.0003296215],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007495372,0.000019897481,0.0007724759,0.91658413,0.0020785155,0.00016710974,0.00029888848,0.000107164626,0.0001024752,0.00043032598,0.004600309,0.07476367],"study_design_scores_gemma":[0.00006872358,0.00013871495,0.0052168895,0.911897,0.014042011,0.00058614934,0.0006630297,0.00007055684,0.00013302761,0.0004253353,0.066725105,0.00003351285],"about_ca_topic_score_codex":0.016470848,"about_ca_topic_score_gemma":0.048562825,"teacher_disagreement_score":0.016470848,"about_ca_system_score_codex":0.0039155637,"about_ca_system_score_gemma":0.020715483,"threshold_uncertainty_score":0.03274995},"labels":[],"label_agreement":null},{"id":"W4402008786","doi":"10.31235/osf.io/4sra7","title":"A Short Guide to Thinking About Industrial Policy: Takeaways from the New Economics of Industrial Policy","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Industrial policy; Economics; Public economics; Industrial organization; Market economy","score_opus":0.10166365647577592,"score_gpt":0.27842299090040923,"score_spread":0.17675933442463332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402008786","genre_codex":"review","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002094239,0.34960207,0.10076605,0.27733314,0.020514622,0.00022013225,0.0025054843,0.0008810364,0.24608324],"genre_scores_gemma":[0.04026627,0.41062915,0.13775821,0.091043755,0.03140811,0.0008396148,0.0029296773,0.0016200307,0.28350526],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989222,0.0005311074,0.000083102634,0.00013875605,0.0002557433,0.00006908135],"domain_scores_gemma":[0.99654335,0.0025957003,0.00014440692,0.00016513317,0.00033359538,0.00021778753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019346623,0.001713302,0.0010251596,0.0031327787,0.0019493409,0.006843427,0.0020309957,0.0049252016,0.019340618],"category_scores_gemma":[0.0049074823,0.0006101668,0.00084394455,0.0048371092,0.0055475384,0.011092269,0.0021208066,0.009373873,0.015447423],"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":[0.000019321677,0.000049991067,0.0002581788,0.000365652,0.000011915597,0.00017898768,0.0011480766,0.0007361939,0.00017821389,0.60074943,0.3541119,0.042192172],"study_design_scores_gemma":[0.0000044076996,0.000013145264,0.00023246693,0.00046142898,0.0000025593686,0.0001298775,0.0003800358,0.0002808414,0.000045712284,0.34655598,0.65187865,0.000014914099],"about_ca_topic_score_codex":0.005119917,"about_ca_topic_score_gemma":0.008992832,"teacher_disagreement_score":0.019340618,"about_ca_system_score_codex":0.0033062934,"about_ca_system_score_gemma":0.0020100034,"threshold_uncertainty_score":0.06470078},"labels":[],"label_agreement":null},{"id":"W4402018335","doi":"10.1016/j.jinteco.2024.103997","title":"The small open economy in a generalized gravity model","year":2024,"lang":"en","type":"article","venue":"Journal of International Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Japan Society for the Promotion of Science; Social Sciences and Humanities Research Council of Canada","keywords":"Economics; Open economy; Gravity model of trade; Small open economy; Keynesian economics; Macroeconomics; Monetary policy","score_opus":0.054129106346795554,"score_gpt":0.25756980906776056,"score_spread":0.203440702720965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402018335","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":[0.35846916,0.002200943,0.44475713,0.009545319,0.00030325385,0.00015215397,0.00060041744,0.0006453437,0.18332615],"genre_scores_gemma":[0.96534,0.0007563052,0.0150734065,0.0004178985,0.00014968326,0.0001057262,0.00011148493,0.000056043547,0.017989423],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997522,0.000086779146,0.000008641935,0.00004840141,0.00005432785,0.000049589347],"domain_scores_gemma":[0.9995584,0.00013945071,0.00007319901,0.00006420862,0.00005697745,0.00010777602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052535743,0.00036430414,0.000583301,0.00073606893,0.00059539854,0.0012864751,0.0009431994,0.0010963415,0.0053416598],"category_scores_gemma":[0.0012523035,0.00018223608,0.00077705045,0.00052827894,0.0024747094,0.0023834966,0.0017841596,0.0009511381,0.00038566542],"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":[0.0000066334997,0.000007624247,0.00012280727,0.000012107287,0.0000056278077,0.000060096452,0.000042288942,0.025499247,0.00028222124,0.97214556,0.0007707362,0.0010449903],"study_design_scores_gemma":[0.000029570832,0.000022775814,0.00026854352,0.000010801196,0.000008302703,0.000050841885,0.000057721067,0.17766072,0.000068874935,0.8180234,0.003787123,0.000011421271],"about_ca_topic_score_codex":0.0042580366,"about_ca_topic_score_gemma":0.0023753627,"teacher_disagreement_score":0.0053416598,"about_ca_system_score_codex":0.0010819245,"about_ca_system_score_gemma":0.0008915799,"threshold_uncertainty_score":0.017869592},"labels":[],"label_agreement":null},{"id":"W4402423449","doi":"10.24908/iqurcp17993","title":"Exchange Rate Pass-Through to Provincial Consumer Prices: A Geographical-Goods Level Analysis","year":2024,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Exchange-rate pass-through; Business; Exchange rate; Commerce; Agricultural economics; Economics; Finance","score_opus":0.196376363117332,"score_gpt":0.35623451069653905,"score_spread":0.15985814757920705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402423449","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":[0.9627041,0.0005682443,0.0022885585,0.00048347286,0.00002578373,0.000059949703,0.018080678,0.00013147891,0.01565774],"genre_scores_gemma":[0.9888269,0.00020077673,0.00066667557,0.00003455334,0.0000066882762,0.000012839684,0.0074284677,0.000026569049,0.002796521],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876773,0.000117692325,0.00006452434,0.00019465627,0.0005374806,0.0003180061],"domain_scores_gemma":[0.99590474,0.0007238933,0.00080820546,0.00030097208,0.002011492,0.00025066998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080349727,0.0002789289,0.0005876771,0.0017869122,0.0007864303,0.0018513517,0.00073691155,0.00025495052,0.0046492983],"category_scores_gemma":[0.0074817636,0.00020428533,0.0009881472,0.006012831,0.0005741535,0.00056972617,0.0010043158,0.0007109159,0.00056009117],"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":[0.00015307221,0.000024549196,0.9766138,0.000077596604,0.00032583886,0.00023013423,0.00076303835,0.005472954,0.00028980154,0.0025875105,0.0031356707,0.010325992],"study_design_scores_gemma":[0.0000062398976,0.000021245261,0.9861502,0.00001759469,0.00007903297,0.00006193036,0.00086453266,0.0074119424,0.00019522084,0.00028017454,0.00489446,0.000017401402],"about_ca_topic_score_codex":0.9568566,"about_ca_topic_score_gemma":0.9515159,"teacher_disagreement_score":0.9568566,"about_ca_system_score_codex":0.0069774175,"about_ca_system_score_gemma":0.007857417,"threshold_uncertainty_score":0.08679491},"labels":[],"label_agreement":null},{"id":"W4402689057","doi":"10.29173/topo56","title":"The Intrinsic Concatenation of Economic Growth and Life Expectancy","year":2024,"lang":"en","type":"article","venue":"Topophilia","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Concatenation (mathematics); Life expectancy; Expectancy theory; Psychology; Economics; Sociology; Demography; Social psychology; Mathematics; Combinatorics","score_opus":0.01978818427304744,"score_gpt":0.21333254507000787,"score_spread":0.19354436079696044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402689057","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":[0.72966695,0.022600856,0.03118014,0.02330449,0.0006415162,0.00003997447,0.0034765918,0.00010624813,0.1889833],"genre_scores_gemma":[0.993707,0.0031685901,0.0008379278,0.00019878031,0.00023320943,0.000009700708,0.00030306476,0.000011365248,0.0015303835],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995504,0.00015748333,0.000030466479,0.00007462918,0.000093403905,0.00009359079],"domain_scores_gemma":[0.9968375,0.0015229126,0.0007485654,0.00020309644,0.0003531885,0.00033473162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087607646,0.00018225831,0.00023253268,0.0010677797,0.00039574303,0.0016246414,0.00016350462,0.0003452754,0.0034530018],"category_scores_gemma":[0.007898132,0.00007479315,0.00017414735,0.0016682977,0.0013836595,0.0018331803,0.0016056984,0.00091262895,0.0003967756],"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":[0.00017274357,0.000058684658,0.37732658,0.00029916008,0.00018009944,0.00059130637,0.002155949,0.0071182293,0.0004898157,0.4657781,0.006794102,0.1390352],"study_design_scores_gemma":[0.000011163367,0.00013656836,0.5529303,0.00040122258,0.0000899001,0.0009425814,0.0026734667,0.005178945,0.00042732857,0.37238693,0.06474682,0.00007484963],"about_ca_topic_score_codex":0.0020669773,"about_ca_topic_score_gemma":0.0021405646,"teacher_disagreement_score":0.0034530018,"about_ca_system_score_codex":0.00058178464,"about_ca_system_score_gemma":0.00043168792,"threshold_uncertainty_score":0.011551499},"labels":[],"label_agreement":null},{"id":"W4402794969","doi":"10.12737/2587-9111-2024-12-4-4-9","title":"Trend in the Distribution of Income Between Labor and Capital in Countries with a Low Share of Labor in GDP","year":2024,"lang":"en","type":"article","venue":"Scientific Research and Development Economics","topic":"Economic Growth and Productivity","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":"Economics; Labour economics; Distribution (mathematics); Income distribution; Capital (architecture); Wage share; Demographic economics; Efficiency wage; Inequality; Geography; Wage; Mathematics","score_opus":0.041723109469173215,"score_gpt":0.2657383781036082,"score_spread":0.22401526863443497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402794969","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":[0.9946451,0.0002166502,0.00042674242,0.00006687506,0.000004759003,0.0000059767717,0.0023356287,0.000016549171,0.0022817198],"genre_scores_gemma":[0.9960318,0.00013812212,0.00041813354,0.000013472702,0.000005166287,0.00001261676,0.0027248682,0.000006732212,0.00064900785],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994936,0.00008429784,0.00006044949,0.00014427322,0.000072228606,0.00014516686],"domain_scores_gemma":[0.9977608,0.0005572924,0.00078460266,0.00013899975,0.0006356779,0.00012277781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074319594,0.00016267141,0.00029739115,0.0023217758,0.00024198722,0.0010728295,0.00025318895,0.0002772469,0.0015536457],"category_scores_gemma":[0.002513531,0.00013699401,0.0003202867,0.0039352165,0.00028693888,0.0007329586,0.00041951353,0.00036303402,0.0005338569],"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":[0.00012691153,0.000020573003,0.9857449,0.0000481904,0.00006902482,0.00014213931,0.0003872039,0.0019208831,0.00052083074,0.0010207606,0.00063711655,0.009361387],"study_design_scores_gemma":[0.0000024159256,0.000055806864,0.9954099,0.000022276778,0.000017186127,0.00012379333,0.00090214977,0.0010794349,0.00025404454,0.00019390379,0.0019311561,0.000007994433],"about_ca_topic_score_codex":0.0063269306,"about_ca_topic_score_gemma":0.005645438,"teacher_disagreement_score":0.0063269306,"about_ca_system_score_codex":0.00053888606,"about_ca_system_score_gemma":0.00032876068,"threshold_uncertainty_score":0.012580216},"labels":[],"label_agreement":null},{"id":"W4403096455","doi":"10.4018/979-8-3693-3759-2.ch011","title":"The Role of Government Support in R&amp;D and Economic Diversification Across Global Economies","year":2024,"lang":"en","type":"book-chapter","venue":"Advances in business strategy and competitive advantage book series","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University Canada West","funders":"","keywords":"Diversification (marketing strategy); Economics; Economic geography; Business; Economy; Marketing","score_opus":0.010769163931813371,"score_gpt":0.22638991844396067,"score_spread":0.2156207545121473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403096455","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054731242,0.08190838,0.0015502291,0.028812254,0.0007734686,0.000034652392,0.00014840912,0.000081191996,0.8319602],"genre_scores_gemma":[0.6360442,0.14117174,0.00414977,0.00474769,0.0011397989,0.00006511951,0.0003619585,0.0000888627,0.21223083],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99958235,0.00012464903,0.000016559354,0.000043415086,0.00015767547,0.00007537043],"domain_scores_gemma":[0.99930036,0.00037433807,0.00007360006,0.00004575583,0.00010941472,0.00009651553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000776317,0.00024265583,0.00017980824,0.0011886605,0.00087887235,0.005152664,0.00025650876,0.00058682467,0.006613109],"category_scores_gemma":[0.0014093703,0.00011772786,0.00021219671,0.0034104786,0.001542924,0.0024182333,0.0017003816,0.0010595457,0.0013549622],"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":[0.000038837745,0.000044109016,0.0047687762,0.00034948406,0.000014275227,0.00025614572,0.0026831916,0.001544227,0.0007125327,0.5895593,0.04983662,0.35019246],"study_design_scores_gemma":[0.000012100177,0.000037260543,0.012610467,0.00067362015,0.000012657413,0.00033934865,0.0029976617,0.00064737455,0.00045156173,0.09622068,0.8859839,0.000013370256],"about_ca_topic_score_codex":0.0026474232,"about_ca_topic_score_gemma":0.0043321354,"teacher_disagreement_score":0.006613109,"about_ca_system_score_codex":0.0022203496,"about_ca_system_score_gemma":0.003003356,"threshold_uncertainty_score":0.022123039},"labels":[],"label_agreement":null},{"id":"W4403431654","doi":"10.1007/s11187-024-00975-3","title":"Digital adoption and human capital upscaling: a regional study of the manufacturing sector","year":2024,"lang":"en","type":"article","venue":"Small Business Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Regione Piemonte; Università degli Studi di Torino","keywords":"Entrepreneurship; Human capital; Manufacturing sector; Business; Industrial organization; Economic geography; Economics; Labour economics; Economic growth; Finance","score_opus":0.04540556234909965,"score_gpt":0.20050120211065364,"score_spread":0.155095639761554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403431654","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":[0.99884295,0.00020137981,0.0001461954,0.000054452743,8.6263015e-7,0.0000036655752,0.00010438911,0.0000028404681,0.00064333156],"genre_scores_gemma":[0.9996019,0.00007803407,0.000067585825,0.000011132506,0.0000027192805,0.0000019853421,0.000075636744,0.0000011195743,0.00015989944],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950147,0.00019014561,0.000018485405,0.00012160815,0.00005238608,0.00011585111],"domain_scores_gemma":[0.99638534,0.0013963637,0.0013345886,0.0002885953,0.00028034294,0.00031475344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007754623,0.00017543769,0.0002496316,0.0010225767,0.00025888783,0.00089331326,0.0004706451,0.00028940852,0.0021519933],"category_scores_gemma":[0.0024136559,0.00013141883,0.00037417893,0.0013769574,0.00038211083,0.0004073975,0.0007960526,0.00035561062,0.00056254474],"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":[0.000081166865,0.00016845598,0.98721373,0.000039104656,0.0001217308,0.0003120799,0.0020318083,0.000867138,0.00111789,0.00036183646,0.00025682332,0.007428173],"study_design_scores_gemma":[0.0000045532374,0.00007571712,0.99522793,0.000013517404,0.000034159708,0.00009052409,0.0026265495,0.0008688055,0.00026682715,0.00006340578,0.00072304794,0.000005015176],"about_ca_topic_score_codex":0.025382787,"about_ca_topic_score_gemma":0.02327154,"teacher_disagreement_score":0.025382787,"about_ca_system_score_codex":0.00057018665,"about_ca_system_score_gemma":0.00026984114,"threshold_uncertainty_score":0.050470114},"labels":[],"label_agreement":null},{"id":"W4403679740","doi":"10.2139/ssrn.4957529","title":"A Spatial Economic Model of War Between Great Powers &lt;br&gt;","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Thompson Rivers University","funders":"","keywords":"Economics; Political science","score_opus":0.021780497685598147,"score_gpt":0.21945714627461865,"score_spread":0.1976766485890205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403679740","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":[0.5679687,0.0028735583,0.17260604,0.03426132,0.0006315407,0.00009744605,0.0042717475,0.00048518795,0.2168045],"genre_scores_gemma":[0.95341927,0.0011185451,0.0033122548,0.0002747441,0.00012733432,0.000047035857,0.0003181117,0.00007314441,0.041309554],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997458,0.0000950194,0.000009414657,0.000059614755,0.000024568586,0.00006556454],"domain_scores_gemma":[0.9989685,0.0004927165,0.00017432588,0.000057716465,0.000105702326,0.00020100657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007009469,0.00059172726,0.00080981955,0.0010188761,0.0011028327,0.0033857264,0.0021446673,0.0032519258,0.022774883],"category_scores_gemma":[0.003616754,0.0007471521,0.00090621033,0.0017594963,0.0022397842,0.0041038934,0.002158339,0.0015897001,0.0014646268],"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":[0.00005600805,0.000034608944,0.0014457795,0.000043931595,0.000033210108,0.00031994111,0.0002460013,0.36498135,0.00022677564,0.6249707,0.0052147955,0.0024269235],"study_design_scores_gemma":[0.000079251105,0.000036875437,0.0010337866,0.000024374942,0.000033412052,0.00014967304,0.00046979563,0.66164273,0.00006527989,0.332233,0.004199486,0.000032402175],"about_ca_topic_score_codex":0.058371074,"about_ca_topic_score_gemma":0.02470673,"teacher_disagreement_score":0.058371074,"about_ca_system_score_codex":0.0024853554,"about_ca_system_score_gemma":0.0016904442,"threshold_uncertainty_score":0.11606264},"labels":[],"label_agreement":null},{"id":"W4403850705","doi":"10.2139/ssrn.5002914","title":"How Can Income Inequality Affect Technological Innovation? An Analysis Based on Cross-Country Data","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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","funders":"","keywords":"Affect (linguistics); Inequality; Economic inequality; Economics; Demographic economics; Sociology; Mathematics","score_opus":0.04545174544384514,"score_gpt":0.2933579746838303,"score_spread":0.24790622923998515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403850705","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":[0.98385966,0.0014952351,0.002412765,0.0006053107,0.000046437017,0.000028776863,0.008568303,0.00004808567,0.0029353716],"genre_scores_gemma":[0.9911438,0.00035576007,0.00034970968,0.00006258252,0.000037953618,0.000022486734,0.006894393,0.000022374727,0.0011110185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99620986,0.0017638463,0.00021981471,0.00058504054,0.00034778166,0.00087357615],"domain_scores_gemma":[0.96452934,0.023013042,0.0074580465,0.0024844687,0.0011953922,0.0013198331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049592745,0.0006384672,0.001399451,0.0029447805,0.0007887652,0.0026669975,0.0010204391,0.0010547301,0.0071359547],"category_scores_gemma":[0.013838995,0.00040396108,0.0022002482,0.006792618,0.0009416595,0.0016704313,0.0019234959,0.0019106632,0.0014702443],"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":[0.00054513983,0.00015985331,0.9782129,0.0001000575,0.0015785731,0.0003144259,0.00037946246,0.005425883,0.00025002894,0.002181725,0.0027608287,0.008091116],"study_design_scores_gemma":[0.00005499467,0.00021444785,0.9806948,0.000074986216,0.0008722823,0.00017232551,0.0010967673,0.010774491,0.00071123644,0.0013766728,0.003912062,0.000045028883],"about_ca_topic_score_codex":0.025936423,"about_ca_topic_score_gemma":0.017327257,"teacher_disagreement_score":0.025936423,"about_ca_system_score_codex":0.00047642572,"about_ca_system_score_gemma":0.00048305572,"threshold_uncertainty_score":0.051570892},"labels":[],"label_agreement":null},{"id":"W4403914109","doi":"10.55016/ojs/sppp.v17i1.80080","title":"Productivity Growth in Canada: What is Going On?","year":2024,"lang":"en","type":"article","venue":"The School of Public Policy Publications","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Agricultural economics; Economic geography; Business; Regional science; Economics; Geography; Economic growth","score_opus":0.04691387108231381,"score_gpt":0.24804109438057434,"score_spread":0.20112722329826052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403914109","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027628353,0.32995695,0.00047271053,0.5857702,0.007136706,0.000077871475,0.013438799,0.00037963025,0.035138734],"genre_scores_gemma":[0.39522755,0.50265604,0.0021519642,0.063888706,0.0034724001,0.00015142013,0.013406435,0.00031859733,0.018726792],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99044764,0.00040471944,0.0004073823,0.00066449697,0.0037878277,0.0042880448],"domain_scores_gemma":[0.9460542,0.0020793767,0.0014757931,0.0004233772,0.038889777,0.011077499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052847844,0.0012920247,0.0019426331,0.006781692,0.010435333,0.013557135,0.0037573301,0.0038630094,0.013703354],"category_scores_gemma":[0.015390742,0.00068558444,0.0016782992,0.017636646,0.0046924623,0.005927053,0.0034605148,0.006414744,0.002340266],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00043276217,0.00022057052,0.07849041,0.0046153683,0.00030340327,0.0005272215,0.0037162846,0.0009184061,0.000256145,0.01837721,0.5563328,0.33580938],"study_design_scores_gemma":[0.00013391777,0.0001603119,0.39684698,0.015635295,0.00048269262,0.00034543825,0.02402859,0.0018461971,0.00059101946,0.0066073323,0.5527825,0.0005397911],"about_ca_topic_score_codex":0.99661875,"about_ca_topic_score_gemma":0.99534214,"teacher_disagreement_score":0.8138577,"about_ca_system_score_codex":0.18614234,"about_ca_system_score_gemma":0.39935857,"threshold_uncertainty_score":0.94395953},"labels":[],"label_agreement":null},{"id":"W4404057901","doi":"10.1007/s11123-024-00738-y","title":"Club convergence in regional labor productivity: how do Australian states and territories compare to the US, UK, and Canadian subnational regions?","year":2024,"lang":"en","type":"article","venue":"Journal of Productivity Analysis","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Convergence (economics); Club; Economics; Economic geography; Geography; Regional science; Economic growth; Geology","score_opus":0.030688441727413692,"score_gpt":0.23568312358593668,"score_spread":0.204994681858523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404057901","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":[0.98544586,0.00075668475,0.00040591313,0.00080655864,0.000031636297,0.00002379871,0.0011065698,0.000010983165,0.011412019],"genre_scores_gemma":[0.9982998,0.00026580883,0.00017394139,0.00007788828,0.0000055102455,0.00001483025,0.00047805934,0.0000060335005,0.00067818497],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975268,0.000624791,0.00015611123,0.00034700285,0.0005548153,0.0007903456],"domain_scores_gemma":[0.99336445,0.0008637423,0.0012245793,0.00044832908,0.003028661,0.0010702225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034637973,0.00016871003,0.0006481904,0.0032702598,0.0016861784,0.0022208442,0.00090507435,0.00024512512,0.002583154],"category_scores_gemma":[0.011446196,0.00019029771,0.00055841234,0.006390706,0.0010262717,0.0013128145,0.002529637,0.0005735827,0.00033415336],"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":[0.00010180489,0.00002546181,0.9591975,0.00010316961,0.00017797913,0.00022458968,0.015489744,0.0005361762,0.00016023307,0.002178461,0.0021881245,0.019616738],"study_design_scores_gemma":[0.000001619298,0.000015534612,0.98391193,0.000081398655,0.000027408363,0.0000313419,0.012816193,0.0005528891,0.000046266283,0.00022009664,0.002284121,0.000011153758],"about_ca_topic_score_codex":0.73593915,"about_ca_topic_score_gemma":0.7350208,"teacher_disagreement_score":0.26406085,"about_ca_system_score_codex":0.0039829602,"about_ca_system_score_gemma":0.0042760703,"threshold_uncertainty_score":0.5312319},"labels":[],"label_agreement":null},{"id":"W4404326793","doi":"10.1093/scipol/scae060","title":"The diffusion of industrial robots in Europe: regional or country effect?","year":2024,"lang":"en","type":"article","venue":"Science and Public Policy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Diffusion; Economic geography; Robot; Business; Economics; Computer science; Artificial intelligence; Thermodynamics; Physics","score_opus":0.055520338551305476,"score_gpt":0.2620019302026642,"score_spread":0.20648159165135874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404326793","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":[0.9918252,0.0018516068,0.0014471646,0.00035912276,0.000018987746,0.000006447927,0.00060968916,0.000024747551,0.0038569383],"genre_scores_gemma":[0.9987214,0.00029566872,0.00019165034,0.000025086461,0.000016394604,0.0000021956273,0.00038482805,0.0000066856564,0.00035599942],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986778,0.00046865657,0.000083732,0.00045196808,0.00014365975,0.00017421017],"domain_scores_gemma":[0.99005616,0.0047241845,0.0031649794,0.000796781,0.0007461698,0.0005118109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024993264,0.000198639,0.000554398,0.0013239541,0.00018226856,0.0014595545,0.00041118197,0.0004390035,0.003138317],"category_scores_gemma":[0.007257224,0.00011660737,0.0008268456,0.0021203484,0.00064796465,0.0010850525,0.0011023686,0.0006881354,0.0003832403],"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":[0.00023629134,0.00007429481,0.9729551,0.000071282084,0.0004203496,0.00020714072,0.00038243513,0.006076319,0.00043420732,0.0033434087,0.0009770852,0.014822074],"study_design_scores_gemma":[0.000013760282,0.00010742464,0.99010205,0.00006579148,0.00013748654,0.00014121848,0.0008003067,0.0040952787,0.0005337082,0.00090696657,0.0030782314,0.000017789442],"about_ca_topic_score_codex":0.0071372655,"about_ca_topic_score_gemma":0.0045362413,"teacher_disagreement_score":0.0071372655,"about_ca_system_score_codex":0.00030478236,"about_ca_system_score_gemma":0.00020751238,"threshold_uncertainty_score":0.014191449},"labels":[],"label_agreement":null},{"id":"W4404338465","doi":"10.33423/jabe.v26i5.7353","title":"How Prepared Are US States for a Recession: An Update","year":2024,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Recession; Keynesian economics; Economics","score_opus":0.024052325298337295,"score_gpt":0.2106779251198992,"score_spread":0.1866255998215619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404338465","genre_codex":"review","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":[0.0061319387,0.59950566,0.0020034239,0.28725877,0.028108245,0.00021238938,0.023480346,0.00090177165,0.05239744],"genre_scores_gemma":[0.037839234,0.86318076,0.0052198754,0.052317053,0.010656409,0.0003322855,0.015689755,0.00022666709,0.014538009],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9988776,0.00017410333,0.00034581186,0.00011112952,0.00035947637,0.00013183296],"domain_scores_gemma":[0.9896381,0.0026704404,0.0013271827,0.00022471305,0.005100255,0.0010392856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029038123,0.00088201993,0.00091319304,0.0055855955,0.0009179395,0.0037675232,0.0016999696,0.003048293,0.01298952],"category_scores_gemma":[0.016377779,0.00073787774,0.0011710012,0.010224461,0.00059937045,0.00800338,0.0020056083,0.0043891785,0.0044675465],"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":[0.00003427197,0.00006406243,0.005158614,0.0018745082,0.000056818935,0.00006980395,0.00029197175,0.00026318978,0.000065947395,0.0011865342,0.7131989,0.27773538],"study_design_scores_gemma":[0.000016363483,0.000027017599,0.012052083,0.007115967,0.00009440174,0.00013976295,0.001030891,0.000114564195,0.00008199153,0.0013823482,0.97790694,0.000037728423],"about_ca_topic_score_codex":0.064961486,"about_ca_topic_score_gemma":0.1223343,"teacher_disagreement_score":0.064961486,"about_ca_system_score_codex":0.0035173048,"about_ca_system_score_gemma":0.007086339,"threshold_uncertainty_score":0.12916672},"labels":[],"label_agreement":null},{"id":"W4404406555","doi":"","title":"Canadian Productivity Growth, Secular Stagnation, and Technological Change","year":2018,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Economic stagnation; Productivity; Technological change; Economics; Secular variation; Economic geography; Econometrics; Political science; Macroeconomics; Sociology; Demography; Law","score_opus":0.2658237097608778,"score_gpt":0.4442857289170388,"score_spread":0.178462019156161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404406555","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":[0.73910195,0.009766683,0.0018188874,0.028134344,0.00019409737,0.000054534856,0.022086458,0.00026424872,0.19857879],"genre_scores_gemma":[0.9868286,0.003016037,0.0003589542,0.0003506276,0.000039569903,0.000013221926,0.0036218648,0.000018327824,0.005752791],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983516,0.000062602274,0.000050771665,0.00012110527,0.0007111754,0.0007027224],"domain_scores_gemma":[0.9929223,0.0006242542,0.0012471665,0.00018190479,0.0039378237,0.0010864736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014497497,0.00031554548,0.00050850684,0.00636033,0.003376786,0.0032428994,0.0006238278,0.00048452427,0.0043990747],"category_scores_gemma":[0.008841662,0.00014403499,0.00038863308,0.017815841,0.0019758109,0.0013404812,0.001520481,0.0012166962,0.00029718055],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002325047,0.00004706559,0.729705,0.0003458345,0.00016194151,0.0005881345,0.0073353783,0.0048873546,0.0003475203,0.12594712,0.046131372,0.08427075],"study_design_scores_gemma":[0.00001405702,0.000024377836,0.9331694,0.00012943546,0.000051009258,0.00010164002,0.0039062127,0.0032500636,0.000238553,0.009534098,0.049528576,0.00005263991],"about_ca_topic_score_codex":0.99213904,"about_ca_topic_score_gemma":0.9923881,"teacher_disagreement_score":0.059708837,"about_ca_system_score_codex":0.059708837,"about_ca_system_score_gemma":0.05261159,"threshold_uncertainty_score":0.4332199},"labels":[],"label_agreement":null},{"id":"W4404567195","doi":"10.1111/cwe.12556","title":"Long‐term Effect of Export Expansion on Human Capital","year":2024,"lang":"en","type":"article","venue":"China & World Economy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Term (time); Economics; Monetary economics; International economics; Human capital; Business; Market economy","score_opus":0.019222834880797655,"score_gpt":0.23478338596813939,"score_spread":0.21556055108734173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404567195","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":[0.9980691,0.0001839566,0.00015804362,0.00021518048,0.000007485481,0.000004378464,0.00033034122,0.0000063647976,0.0010251522],"genre_scores_gemma":[0.9992046,0.00005270521,0.00001918174,0.000012257677,0.000004393875,0.0000018260237,0.0001302254,4.8999806e-7,0.00057441625],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998172,0.000029601613,0.000011340355,0.00003318402,0.000020349897,0.00008831477],"domain_scores_gemma":[0.99866736,0.00037395896,0.00038580818,0.00009829902,0.00013346004,0.000341127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056904537,0.00021572057,0.00018876271,0.00044963634,0.00026748536,0.0006920195,0.00026828298,0.00035412528,0.0037086497],"category_scores_gemma":[0.0015504409,0.00007057746,0.00032275112,0.0005136299,0.00044649816,0.0004405095,0.0007158902,0.00040514988,0.00018515017],"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":[0.00023111295,0.00015437549,0.9737215,0.00003142124,0.00012153527,0.0005268993,0.00017304643,0.010364563,0.0010685291,0.0016863889,0.0006664946,0.011254167],"study_design_scores_gemma":[0.0000059708636,0.00012318343,0.99124277,0.000011831909,0.00004966326,0.00004053173,0.00027001667,0.0064030536,0.00046082708,0.0005656161,0.0008197257,0.0000067760193],"about_ca_topic_score_codex":0.024844907,"about_ca_topic_score_gemma":0.022374937,"teacher_disagreement_score":0.024844907,"about_ca_system_score_codex":0.0010337721,"about_ca_system_score_gemma":0.0008211867,"threshold_uncertainty_score":0.049400628},"labels":[],"label_agreement":null},{"id":"W4404644309","doi":"10.5539/ijef.v16n12p79","title":"Productivity Puzzle of the Mexican Economy, 1994-2023","year":2024,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Natural resource economics; Agricultural economics; Economy; Economic growth","score_opus":0.020771616431758212,"score_gpt":0.21613765240839453,"score_spread":0.19536603597663632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404644309","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":[0.8965826,0.0108558675,0.0014445565,0.046492767,0.00023982627,0.000038352297,0.018244656,0.00016746244,0.025933871],"genre_scores_gemma":[0.97791415,0.0054922905,0.00053829193,0.00064930157,0.0002900831,0.000038455888,0.009091833,0.00002780619,0.0059579173],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971515,0.00003171558,0.000016336995,0.000050643954,0.00007463194,0.00011156424],"domain_scores_gemma":[0.9988341,0.00023470908,0.00051610003,0.000054710705,0.00027974547,0.00008080415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001069247,0.0003911015,0.00044856334,0.0015505878,0.00093511713,0.0030938997,0.00086216984,0.0012472983,0.0027889633],"category_scores_gemma":[0.0048691914,0.00024170153,0.00044767244,0.003936069,0.00064628985,0.001424918,0.0008314862,0.0011451097,0.0004832609],"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":[0.0016674384,0.00032172073,0.52906007,0.00086200284,0.0004581089,0.0036981814,0.00444512,0.038389232,0.0016009768,0.12787034,0.11765271,0.17397408],"study_design_scores_gemma":[0.0001227498,0.0001323926,0.75949293,0.00028291333,0.00023648396,0.0005257422,0.0041689645,0.020002397,0.0011231814,0.014996591,0.1988443,0.00007134679],"about_ca_topic_score_codex":0.28506562,"about_ca_topic_score_gemma":0.14452684,"teacher_disagreement_score":0.28506562,"about_ca_system_score_codex":0.0086841015,"about_ca_system_score_gemma":0.0036083779,"threshold_uncertainty_score":0.56681275},"labels":[],"label_agreement":null},{"id":"W4404658650","doi":"","title":"Recent Productivity Developments in the United States and Canada: Implications for the Canada-U.S. Productivity and Income Gaps","year":2002,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Productivity; Agricultural economics; Natural resource economics; Economics; Geography; Economic growth","score_opus":0.22169681494012883,"score_gpt":0.4075195553656158,"score_spread":0.18582274042548697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404658650","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":[0.6598801,0.06454447,0.0008279651,0.1640875,0.0011293705,0.00005334359,0.054452553,0.00016734823,0.0548573],"genre_scores_gemma":[0.9403067,0.03622607,0.0006228522,0.0034040776,0.00040036914,0.000023424749,0.009323571,0.000034278582,0.00965867],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989219,0.00003548549,0.0000465055,0.00007728261,0.0003584519,0.0005603795],"domain_scores_gemma":[0.99297607,0.0004036272,0.0007054269,0.000050853014,0.004234324,0.0016298554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012716837,0.00033569607,0.0004362516,0.004488711,0.0039994535,0.004346524,0.001211772,0.0012493243,0.0070134853],"category_scores_gemma":[0.0054066465,0.00019963851,0.00060921,0.016308436,0.001306376,0.0020870713,0.0016693701,0.0024290725,0.00050368375],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071246404,0.00020927504,0.555614,0.0010831446,0.00023034881,0.0009109082,0.0076086335,0.0047708424,0.00045906418,0.06923137,0.15814619,0.20102392],"study_design_scores_gemma":[0.000031092957,0.000031933658,0.9048591,0.0004280133,0.00009462144,0.00017655102,0.01117841,0.0015928092,0.00030583263,0.0036860108,0.07755722,0.0000582494],"about_ca_topic_score_codex":0.990845,"about_ca_topic_score_gemma":0.9951603,"teacher_disagreement_score":0.9516805,"about_ca_system_score_codex":0.04831951,"about_ca_system_score_gemma":0.074982546,"threshold_uncertainty_score":0.3505842},"labels":[],"label_agreement":null},{"id":"W4404734157","doi":"10.1111/caje.12749","title":"Tracking technical change: Past, present and future","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","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":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; History; Data science","score_opus":0.16098709864720637,"score_gpt":0.19371369438616007,"score_spread":0.0327265957389537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404734157","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":[0.76286584,0.008342872,0.06625864,0.020356253,0.00054023415,0.00025159796,0.0377437,0.0006990702,0.10294181],"genre_scores_gemma":[0.9622411,0.0025506602,0.0227664,0.00049685896,0.00019953864,0.00010717368,0.006143961,0.00006626094,0.0054279533],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979475,0.00039554556,0.00015341931,0.00044805542,0.00081587967,0.00023951753],"domain_scores_gemma":[0.9858285,0.0043276725,0.0032349648,0.0010999844,0.00484503,0.00066391064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050765295,0.00030792854,0.00041692588,0.007487909,0.0008874066,0.0042973044,0.0006841084,0.0008000363,0.0042316257],"category_scores_gemma":[0.020285282,0.00019880156,0.00041030627,0.011971037,0.0008768849,0.0040092687,0.0010904004,0.0011269604,0.000911593],"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":[0.00012292567,0.00011070344,0.68152755,0.00046530747,0.00014788887,0.00015179945,0.0024496142,0.0076899473,0.0012438744,0.030877395,0.023366688,0.25184628],"study_design_scores_gemma":[0.000018298237,0.00011131604,0.792026,0.00055516267,0.000106608604,0.00014202713,0.0049205404,0.03230526,0.0031676518,0.033887427,0.13261619,0.00014343977],"about_ca_topic_score_codex":0.105844155,"about_ca_topic_score_gemma":0.12218645,"teacher_disagreement_score":0.105844155,"about_ca_system_score_codex":0.004677163,"about_ca_system_score_gemma":0.0033156357,"threshold_uncertainty_score":0.21045613},"labels":[],"label_agreement":null},{"id":"W4404756528","doi":"10.1093/rapstu/raae015","title":"A Portfolio-Balance Model of Inflation and Yield Curve Determination","year":2024,"lang":"en","type":"article","venue":"The Review of Asset Pricing Studies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Inflation (cosmology); Yield (engineering); Portfolio; Economics; Yield curve; Balance (ability); Econometrics; Monetary economics; Financial economics; Psychology; Physics; Interest rate; Thermodynamics","score_opus":0.07519466838491912,"score_gpt":0.2985201901003267,"score_spread":0.2233255217154076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404756528","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":[0.20059934,0.00848546,0.6740933,0.0133658685,0.0003978356,0.000112516616,0.0008867267,0.0005353111,0.10152362],"genre_scores_gemma":[0.9571901,0.0028507316,0.010657106,0.0002658067,0.0002653493,0.000088665845,0.00025929252,0.00006403108,0.028359028],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945587,0.00024944334,0.000026464357,0.00009464226,0.00011187492,0.00006173461],"domain_scores_gemma":[0.99915695,0.00032673535,0.00018729115,0.000053961,0.00017515507,0.00009989414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013805828,0.000597834,0.0010034881,0.0006886376,0.00049669313,0.0035989096,0.0013718879,0.0030988718,0.0056362827],"category_scores_gemma":[0.0040388526,0.00050950627,0.0007616618,0.001275568,0.0011520644,0.0032277082,0.0007925576,0.0014429931,0.0012767263],"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":[0.000054534987,0.000054285705,0.0013828494,0.0000683962,0.000056232002,0.0002698383,0.00014628193,0.2949644,0.0011752908,0.686262,0.003008314,0.012557573],"study_design_scores_gemma":[0.000050999373,0.000036264853,0.000757861,0.000029039813,0.000021999227,0.00009036317,0.00002758937,0.5809551,0.00016031842,0.41320813,0.0046394956,0.000022875665],"about_ca_topic_score_codex":0.0036639646,"about_ca_topic_score_gemma":0.0011276391,"teacher_disagreement_score":0.0056362827,"about_ca_system_score_codex":0.0018690109,"about_ca_system_score_gemma":0.00094614853,"threshold_uncertainty_score":0.018855214},"labels":[],"label_agreement":null},{"id":"W4405298880","doi":"","title":"Progress in Service Sector Productivity Measurement: Review Article on \"Productivity in the U.S. Services Sector: New Sources of Economic Growth\"","year":2005,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Productivity; Tertiary sector of the economy; Service (business); Business; Industrial organization; Agricultural economics; Economics; Regional science; Marketing; Economic growth; Geography","score_opus":0.0580402385121915,"score_gpt":0.2768959496197989,"score_spread":0.2188557111076074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405298880","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00037874642,0.9431856,0.0011519932,0.029506434,0.01689885,0.000012354827,0.00017394868,0.000045024655,0.008646976],"genre_scores_gemma":[0.0026431272,0.97588897,0.00075007963,0.0040018363,0.009248592,0.000013410955,0.00022118719,0.000033622535,0.007199188],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982627,0.00034399927,0.00014177646,0.00016328912,0.0009989553,0.00008941986],"domain_scores_gemma":[0.99184144,0.0031967678,0.0005562216,0.00010424029,0.0040246514,0.00027667658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025159672,0.0008517839,0.0012777883,0.004545346,0.00044745294,0.0026825226,0.00095570507,0.0017819717,0.009125318],"category_scores_gemma":[0.009894321,0.00031912114,0.00053252664,0.014909241,0.0011984177,0.0032791782,0.0009132034,0.0020338092,0.0055128154],"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":[0.000017724875,0.000019197243,0.0004653185,0.0032198827,0.000026091995,0.000033504413,0.00010942334,0.00016089222,0.00022108213,0.0049292706,0.68839574,0.302402],"study_design_scores_gemma":[0.000007652873,0.000028592129,0.0025619592,0.003071097,0.000035942136,0.00022703783,0.00020015604,0.000111438145,0.0002870304,0.0032112463,0.9902408,0.0000169448],"about_ca_topic_score_codex":0.009816173,"about_ca_topic_score_gemma":0.0121547645,"teacher_disagreement_score":0.009816173,"about_ca_system_score_codex":0.002200821,"about_ca_system_score_gemma":0.004667904,"threshold_uncertainty_score":0.030527234},"labels":[],"label_agreement":null},{"id":"W4405299713","doi":"10.2139/ssrn.4996104","title":"Spatial Nexus: Natural Resources and Economic Growth","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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 Guelph","funders":"","keywords":"Nexus (standard); Natural resource; Economic geography; Natural (archaeology); Geography; Natural resource economics; Economics; Computer science; Ecology; Biology; Archaeology","score_opus":0.007893432306837127,"score_gpt":0.19268299249578957,"score_spread":0.18478956018895246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405299713","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":[0.6109641,0.051786173,0.055163916,0.08485406,0.0012093137,0.000042295145,0.00799322,0.00042450178,0.18756235],"genre_scores_gemma":[0.98176205,0.007386878,0.0013916467,0.00022289556,0.00020900715,0.000012299257,0.00040474764,0.000023698129,0.008586713],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998178,0.000074426585,0.000014600651,0.00003794228,0.00003288689,0.000022315073],"domain_scores_gemma":[0.9971,0.0016693033,0.0006632252,0.00011177046,0.00021443899,0.00024122329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038945346,0.0002820002,0.0003975328,0.00093951053,0.00033453712,0.0028003717,0.00032304358,0.000614546,0.01775781],"category_scores_gemma":[0.0037761594,0.00012592031,0.00027950737,0.0032516876,0.0011221482,0.0033568721,0.0013299925,0.0005872096,0.00074503],"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":[0.00020560858,0.00007045527,0.11191245,0.00037725785,0.00019528382,0.0005606507,0.00041789195,0.032497387,0.0002886167,0.7687717,0.023603382,0.061099254],"study_design_scores_gemma":[0.000024506102,0.000038172653,0.03923696,0.00018677722,0.00012289682,0.00026428932,0.00195902,0.024750995,0.00035575416,0.90121514,0.031817574,0.000027962944],"about_ca_topic_score_codex":0.024223287,"about_ca_topic_score_gemma":0.025355108,"teacher_disagreement_score":0.024223287,"about_ca_system_score_codex":0.0010303505,"about_ca_system_score_gemma":0.0014793503,"threshold_uncertainty_score":0.059405744},"labels":[],"label_agreement":null},{"id":"W4405311718","doi":"10.2139/ssrn.5029312","title":"Open Innovation System, Absorptive Capacities, and Sustainable Economic Growth in Africa","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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 Laval","funders":"","keywords":"Absorptive capacity; Business; Sustainable growth rate; Open innovation; Economic system; Natural resource economics; Economics; Economic geography; Industrial organization; Finance; Marketing","score_opus":0.022640039604540946,"score_gpt":0.21803666868802055,"score_spread":0.1953966290834796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405311718","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":[0.9546561,0.005935689,0.003485613,0.004039387,0.000028063325,0.00001735493,0.00030755103,0.000021426717,0.031508815],"genre_scores_gemma":[0.99757975,0.0013740882,0.00023663485,0.000018727687,0.000014043402,0.0000043358714,0.000021937103,0.000002194611,0.00074831885],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.999642,0.00012715148,0.000017346767,0.000041975116,0.000040147854,0.00013133128],"domain_scores_gemma":[0.9968298,0.00207263,0.0006208368,0.000063169515,0.00020795336,0.00020559102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009349292,0.00026550912,0.00031097705,0.0012692811,0.0005701603,0.0025960032,0.00025054242,0.0005660178,0.0048391502],"category_scores_gemma":[0.0057155625,0.00012936004,0.00018205233,0.0022353043,0.0013281096,0.003299658,0.0013298241,0.000790578,0.00015707639],"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":[0.00025245998,0.00015844563,0.1041628,0.0005588163,0.00008829413,0.002149037,0.003038636,0.033632383,0.0018270569,0.75606596,0.0029081074,0.095157996],"study_design_scores_gemma":[0.00007367771,0.00018434759,0.1681748,0.0007948281,0.00014278875,0.0012529953,0.009778153,0.054237254,0.0020261207,0.7394423,0.023841714,0.000051033596],"about_ca_topic_score_codex":0.007647564,"about_ca_topic_score_gemma":0.0064416504,"teacher_disagreement_score":0.007647564,"about_ca_system_score_codex":0.0020340956,"about_ca_system_score_gemma":0.0014562446,"threshold_uncertainty_score":0.016188562},"labels":[],"label_agreement":null},{"id":"W4405990984","doi":"10.18235/0013347","title":"Caribbean Economics Quarterly: Volume 13, Issue 3: Innovation for Faster Economic Growth in the Caribbean: Are We There Yet?","year":2024,"lang":"en","type":"report","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Government of Canada","keywords":"Volume (thermodynamics); Economics; Development economics; Macroeconomics; Thermodynamics; Physics","score_opus":0.054443596703279265,"score_gpt":0.25491515343129517,"score_spread":0.20047155672801592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405990984","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0054953424,0.20241009,0.0008541496,0.33021888,0.022195907,0.00015945794,0.029834531,0.00039828633,0.40843338],"genre_scores_gemma":[0.056126453,0.3810966,0.0030244251,0.030012172,0.023052929,0.00044738315,0.024722332,0.0008595292,0.4806581],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99936193,0.00009146526,0.00003719088,0.000041295127,0.00036827047,0.00009995724],"domain_scores_gemma":[0.99698144,0.0005675159,0.00024404423,0.00012119631,0.0016863286,0.00039949783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00121747,0.0006721465,0.0004669573,0.003333534,0.0017896848,0.0075082956,0.00051380123,0.00137318,0.04908864],"category_scores_gemma":[0.0070424024,0.00031418534,0.00030973638,0.010057053,0.00080120587,0.0024529637,0.00096003356,0.0018351384,0.00931381],"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":[0.0000031642512,0.000008326275,0.00058119337,0.00010429877,0.0000020778914,0.000014243863,0.00007389898,0.000027477587,0.000017850938,0.004450758,0.98150796,0.013208733],"study_design_scores_gemma":[0.0000023213697,0.0000026620448,0.0056513054,0.00028122298,0.0000029544742,0.000026065822,0.0003341813,0.00002817248,0.00002728082,0.001908339,0.9917292,0.000006224394],"about_ca_topic_score_codex":0.12603459,"about_ca_topic_score_gemma":0.20259906,"teacher_disagreement_score":0.12603459,"about_ca_system_score_codex":0.0060236584,"about_ca_system_score_gemma":0.0151333725,"threshold_uncertainty_score":0.25060195},"labels":[],"label_agreement":null},{"id":"W4406241968","doi":"10.2139/ssrn.5026987","title":"Productivity Shocks and Inflation in Incomplete Markets","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Kellogg's (Canada)","funders":"","keywords":"Economics; Productivity; Monetary economics; Stock (firearms); Inflation (cosmology); Consumption (sociology); Production (economics); Macroeconomics","score_opus":0.016716160193176652,"score_gpt":0.2184086196373709,"score_spread":0.20169245944419426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406241968","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":[0.8228592,0.004297743,0.1395324,0.014867797,0.00037014764,0.00007407254,0.0012992779,0.00032246634,0.01637689],"genre_scores_gemma":[0.98848313,0.001662788,0.001890196,0.00021782336,0.00035078335,0.000026885655,0.0002843454,0.00004462956,0.0070394725],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886084,0.000496184,0.00008869997,0.00014758318,0.0001553371,0.00025125677],"domain_scores_gemma":[0.96715856,0.025323387,0.0048965053,0.0008548841,0.0007914782,0.0009751818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064572827,0.0005726156,0.0021486497,0.001168359,0.00070843316,0.004194784,0.000875922,0.0026221941,0.008921876],"category_scores_gemma":[0.03818774,0.0009635414,0.00088244997,0.0011930396,0.0022051025,0.0072883973,0.0018500366,0.0028936367,0.0005142723],"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":[0.0006518049,0.00018359772,0.011278431,0.0003326872,0.00016644428,0.0011327676,0.0005904456,0.15301646,0.00078022364,0.80920917,0.006255084,0.016402917],"study_design_scores_gemma":[0.00014744679,0.000057264442,0.0031577807,0.000043573422,0.000040527608,0.000105524705,0.00014065782,0.19926591,0.00021362916,0.7960708,0.00072300347,0.000033903896],"about_ca_topic_score_codex":0.0045808232,"about_ca_topic_score_gemma":0.001942534,"teacher_disagreement_score":0.008921876,"about_ca_system_score_codex":0.0011919036,"about_ca_system_score_gemma":0.0011993439,"threshold_uncertainty_score":0.034149766},"labels":[],"label_agreement":null},{"id":"W4406289262","doi":"10.2139/ssrn.5017646","title":"Life Expectancy and Business Cycles in a Small Open Economy&amp;nbsp;","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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 Guelph","funders":"","keywords":"Life expectancy; Business cycle; Economics; Small open economy; Expectancy theory; Open economy; Empirical research; Capital (architecture); Monetary economics; Macroeconomics; Economy; Monetary policy; Geography; Demography","score_opus":0.04108104586637413,"score_gpt":0.24541969744253905,"score_spread":0.20433865157616493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406289262","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":[0.9868396,0.00092274236,0.0018685508,0.0013598669,0.000024957251,0.000009194667,0.0029991204,0.000015661983,0.005960227],"genre_scores_gemma":[0.99498546,0.00046324337,0.00014266172,0.00003511815,0.000032228898,0.000007218139,0.00071001495,0.000006385635,0.0036175987],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992466,0.000018505669,0.0000048000493,0.000018847639,0.000011392013,0.000021746488],"domain_scores_gemma":[0.99770206,0.0009157427,0.00059433485,0.00005454727,0.00016620602,0.0005671848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000557992,0.00010107951,0.00019877219,0.0005790573,0.00030308982,0.0008026073,0.00021742644,0.00045293025,0.006555362],"category_scores_gemma":[0.0035561826,0.00006941128,0.00017807611,0.0008683099,0.000355472,0.0010199521,0.0003879294,0.00041783604,0.00055438216],"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":[0.0010971418,0.00032902265,0.8131148,0.00016481652,0.0001540412,0.00092815945,0.001445877,0.03191898,0.0019336832,0.085520595,0.0130343065,0.05035852],"study_design_scores_gemma":[0.000059547976,0.00022637357,0.814301,0.000073759,0.00007079074,0.00035307987,0.0013557612,0.07202026,0.0005081112,0.10194332,0.009045631,0.000042344192],"about_ca_topic_score_codex":0.019950217,"about_ca_topic_score_gemma":0.020182552,"teacher_disagreement_score":0.019950217,"about_ca_system_score_codex":0.0008738688,"about_ca_system_score_gemma":0.00038337437,"threshold_uncertainty_score":0.039668202},"labels":[],"label_agreement":null},{"id":"W4406485649","doi":"10.1016/0967-0653(96)83256-x","title":"10.1016/0967-0653(96)83256-x","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mediterranean climate; Productivity; Ecology; Environmental science; Natural resource economics; Geography; Economics; Biology; Economic growth","score_opus":0.013061620269406363,"score_gpt":0.15585564180304226,"score_spread":0.1427940215336359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406485649","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006770942,0.0005599164,0.0008470457,0.000587564,0.00035205815,0.00012578737,0.0013938546,0.0011420116,0.9943146],"genre_scores_gemma":[0.0009973235,0.00031787794,0.00043786774,0.00031687698,0.00007633946,0.00006506158,0.0005484341,0.00018334063,0.99705696],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993426,0.00006164102,0.00006772305,0.00023375696,0.000147189,0.0001471062],"domain_scores_gemma":[0.9976966,0.0007608333,0.00017388904,0.00034456817,0.00036968,0.00065442227],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011937158,0.0026400364,0.0018544772,0.0025923525,0.0020244112,0.0041025993,0.0030782982,0.0055113593,0.9884672],"category_scores_gemma":[0.0021928842,0.0011787096,0.0012625825,0.0029031332,0.0023516393,0.0067024254,0.002987606,0.0029556425,0.9927199],"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":[0.00044809966,0.00025042368,0.0012313867,0.0006670167,0.000045608365,0.00031708064,0.000114969516,0.0006851006,0.0019021927,0.0070612147,0.4532212,0.53405565],"study_design_scores_gemma":[0.00008359336,0.00013812703,0.0011898457,0.0005250046,0.000022338434,0.00041373132,0.0002105009,0.00040355895,0.000480682,0.0013905779,0.9951025,0.000039531882],"about_ca_topic_score_codex":0.0046804985,"about_ca_topic_score_gemma":0.0040394007,"teacher_disagreement_score":0.0115327835,"about_ca_system_score_codex":0.0011598931,"about_ca_system_score_gemma":0.00087659963,"threshold_uncertainty_score":0.016450047},"labels":[],"label_agreement":null},{"id":"W4406578774","doi":"10.1016/s1541-9800(12)70037-6","title":"10.1016/s1541-9800(12)70037-6","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics","score_opus":0.013426375469860205,"score_gpt":0.151387118028218,"score_spread":0.1379607425583578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406578774","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005552852,0.00045843658,0.0009515324,0.00046299613,0.0002863094,0.00010941308,0.0013876095,0.0012357725,0.99455255],"genre_scores_gemma":[0.0007647476,0.00020798533,0.00043664442,0.00021445577,0.00006275091,0.000059838687,0.00055691676,0.00017911223,0.9975176],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99934024,0.000054206164,0.00005679306,0.00023353091,0.0001734594,0.00014172324],"domain_scores_gemma":[0.9980798,0.000581782,0.00015413674,0.0002811404,0.0003162364,0.0005870035],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010893403,0.0025788404,0.0017411512,0.0025557033,0.0018126338,0.0037284847,0.0030494973,0.005983786,0.9892134],"category_scores_gemma":[0.0019029079,0.0010131235,0.0012071236,0.0027718723,0.001634205,0.006019609,0.0030101617,0.002718714,0.99304354],"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":[0.00032641343,0.00022568322,0.0009535669,0.0005930622,0.000032952506,0.00025043605,0.00009271437,0.0005311741,0.0019556503,0.006499472,0.35941285,0.62912595],"study_design_scores_gemma":[0.000063285916,0.00011753002,0.0008504823,0.00035882305,0.000015362308,0.00032386804,0.00012087519,0.00037095408,0.0005116829,0.00095807,0.99628,0.000028935994],"about_ca_topic_score_codex":0.0032547384,"about_ca_topic_score_gemma":0.0028100596,"teacher_disagreement_score":0.010786593,"about_ca_system_score_codex":0.0011293773,"about_ca_system_score_gemma":0.0010664952,"threshold_uncertainty_score":0.015385747},"labels":[],"label_agreement":null},{"id":"W4406617054","doi":"10.1111/1468-0319.12792","title":"World Economic Prospects Monthly | Global","year":2025,"lang":"en","type":"article","venue":"Economic Outlook","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Development economics","score_opus":0.01275430702675459,"score_gpt":0.2158636323902516,"score_spread":0.20310932536349702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406617054","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008007205,0.012327218,0.00035105678,0.023512123,0.03184285,0.00012592951,0.018765982,0.0009432345,0.91133094],"genre_scores_gemma":[0.008372639,0.01595626,0.0007891942,0.01118664,0.010952281,0.00035215516,0.01843452,0.0005368788,0.93341935],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994999,0.00003767375,0.000026689837,0.000083154184,0.00025262192,0.00010000555],"domain_scores_gemma":[0.99943143,0.000047365505,0.000060701062,0.00006705603,0.0002462633,0.00014722932],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009283322,0.0017161784,0.0007504617,0.0013126433,0.00091601175,0.006111559,0.00083365524,0.0026941204,0.32261714],"category_scores_gemma":[0.0022953486,0.0003744144,0.00046339753,0.0020798815,0.00046976082,0.0030471946,0.0017670954,0.0039985096,0.3177315],"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":[0.000012472365,0.000015996426,0.00020123523,0.00006203901,0.0000022637914,0.000033386914,0.000012310774,0.000024684923,0.000037411726,0.0017036301,0.96647984,0.031414676],"study_design_scores_gemma":[0.0000038112573,0.0000058210694,0.00075915095,0.00007828718,9.639107e-7,0.0000204811,0.000017290426,0.000012276016,0.000011223274,0.00030102956,0.99878687,0.0000028989346],"about_ca_topic_score_codex":0.004030016,"about_ca_topic_score_gemma":0.005025566,"teacher_disagreement_score":0.32261714,"about_ca_system_score_codex":0.000836956,"about_ca_system_score_gemma":0.0019754216,"threshold_uncertainty_score":0.9662044},"labels":[],"label_agreement":null},{"id":"W4406929968","doi":"10.3390/jrfm18020061","title":"Economic and Sectoral Convergence in Latin America and the Caribbean: An Analysis of Beta, Sigma, and Gamma Convergence","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Latin Americans; BETA (programming language); Sigma; Six Sigma; Economics; Economic geography; Political science; Physics; Macroeconomics; Computer science; Operations management","score_opus":0.008385826266336667,"score_gpt":0.2039513021809106,"score_spread":0.19556547591457393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406929968","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":[0.9905222,0.0008722985,0.0005991121,0.00016512582,0.0000050152016,0.000012067752,0.00017975799,0.00000659283,0.007637824],"genre_scores_gemma":[0.9989932,0.0003388801,0.0002379666,0.000011531993,0.000004579316,0.00001011098,0.0002078545,0.0000031764466,0.0001926673],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919146,0.00027110576,0.00006225937,0.00007228918,0.00019247356,0.00021038485],"domain_scores_gemma":[0.9964393,0.0012173562,0.00071948516,0.00018343756,0.0011912293,0.00024925463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022200223,0.00026126753,0.00036388743,0.0051743295,0.00056032155,0.001673722,0.00032281422,0.00024653284,0.0013934299],"category_scores_gemma":[0.010787488,0.00010073042,0.00045802593,0.0070183757,0.00059174024,0.0010140255,0.0015913624,0.0004323994,0.0001047913],"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":[0.00009771759,0.000028039525,0.9655596,0.000056333472,0.00012984895,0.00038112936,0.0027179767,0.003283727,0.00026170543,0.006778183,0.0003338089,0.020371884],"study_design_scores_gemma":[0.000007798813,0.000050041355,0.9751927,0.000103075436,0.00005971349,0.00022475775,0.009880093,0.007936914,0.00018100519,0.002995493,0.0033543578,0.000013908338],"about_ca_topic_score_codex":0.048698444,"about_ca_topic_score_gemma":0.02728852,"teacher_disagreement_score":0.048698444,"about_ca_system_score_codex":0.0014083761,"about_ca_system_score_gemma":0.0012084956,"threshold_uncertainty_score":0.09683001},"labels":[],"label_agreement":null},{"id":"W4407044302","doi":"10.53469/jerp.2025.07(01).11","title":"The Dynamics of the Knowledge Economy: Innovation, Challenges, And the Future Economy of Time","year":2025,"lang":"en","type":"article","venue":"Journal of Educational Research and Policies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Knowledge economy; Entrepreneurship; Quinary; Innovation economics; Knowledge transfer; Economic system; Business; Quaternary sector of the economy; Knowledge management; Economics; Information economy; Economy; Post-industrial economy; Computer science","score_opus":0.051528384494447264,"score_gpt":0.3199730749824998,"score_spread":0.2684446904880526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407044302","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":[0.17182708,0.051625144,0.1270114,0.28007796,0.0011486174,0.00010108405,0.00046069364,0.00012335599,0.36762455],"genre_scores_gemma":[0.9675751,0.0136643965,0.008836578,0.0014670603,0.0004901397,0.00007391169,0.00005283505,0.000024855492,0.007815074],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998599,0.00063930533,0.000049703915,0.00021113377,0.00030168044,0.00019918763],"domain_scores_gemma":[0.995793,0.0027887975,0.00035652684,0.00030125736,0.00034697715,0.000413534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003017126,0.00025554065,0.0004405393,0.0017484516,0.0018051793,0.009427651,0.00077286,0.002233714,0.0039701103],"category_scores_gemma":[0.0062095877,0.00019869619,0.00045696905,0.0025041339,0.011159247,0.019297225,0.0034518812,0.0019616894,0.0005586274],"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":[0.000011264746,0.000008418227,0.0005962279,0.000036241043,0.0000045616503,0.00008402133,0.0007303135,0.0012648384,0.00010784644,0.9881053,0.00084187527,0.008209134],"study_design_scores_gemma":[0.0000043277023,0.000010528705,0.00065032684,0.000068569025,0.0000027302235,0.0000802343,0.0013835038,0.0026406234,0.000089624766,0.9719098,0.023146532,0.000013090996],"about_ca_topic_score_codex":0.0029003366,"about_ca_topic_score_gemma":0.0019342012,"teacher_disagreement_score":0.009427651,"about_ca_system_score_codex":0.0040131398,"about_ca_system_score_gemma":0.0026540705,"threshold_uncertainty_score":0.029117465},"labels":[],"label_agreement":null},{"id":"W4407112958","doi":"10.1080/08853908.2025.2454536","title":"Agricultural R&amp;D and Export Survival in ECOWAS Countries","year":2025,"lang":"en","type":"article","venue":"The International Trade Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université Laval","funders":"","keywords":"Agriculture; International trade; Business; Agricultural economics; International economics; Economics; Geography","score_opus":0.03598668320015795,"score_gpt":0.2365519774793242,"score_spread":0.20056529427916625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407112958","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":[0.99689025,0.0003696073,0.00026865333,0.00009198911,0.0000037832028,0.0000041111425,0.00033274252,0.000006904771,0.0020319507],"genre_scores_gemma":[0.9978154,0.00034716516,0.000095308395,0.00001807388,0.0000049086175,0.0000046926934,0.0004530781,0.0000030125632,0.0012584309],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972886,0.000054078715,0.000021218528,0.000053913987,0.000027048527,0.00011482941],"domain_scores_gemma":[0.9946896,0.0016148167,0.0026553473,0.00022301657,0.0003066671,0.0005106249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091969693,0.0002668086,0.0002765721,0.0009795158,0.00031482038,0.0016801953,0.00021261167,0.0003817649,0.0033440604],"category_scores_gemma":[0.002820563,0.0001322214,0.00056688895,0.0012454855,0.00052105484,0.0008499613,0.00086141395,0.00066381815,0.00044072178],"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":[0.00048566223,0.00011164449,0.9534337,0.00008978265,0.00017207822,0.0010517463,0.00040408026,0.022401087,0.0015837161,0.0038344979,0.00063216116,0.015799869],"study_design_scores_gemma":[0.000033519384,0.00026375774,0.9859999,0.00008206201,0.000116465584,0.00028695224,0.0014568344,0.004944852,0.0011987268,0.001107776,0.0044907355,0.000018465444],"about_ca_topic_score_codex":0.007378143,"about_ca_topic_score_gemma":0.006228953,"teacher_disagreement_score":0.007378143,"about_ca_system_score_codex":0.00071681966,"about_ca_system_score_gemma":0.0004860911,"threshold_uncertainty_score":0.014670372},"labels":[],"label_agreement":null},{"id":"W4407129725","doi":"10.1111/caje.12761","title":"Automation and asymmetric international spillovers of technological shocks","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Automation; Computer science; Business; Economics; Engineering; Mechanical engineering","score_opus":0.07467795968129677,"score_gpt":0.1783410236785104,"score_spread":0.10366306399721363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407129725","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":[0.8279417,0.0017842813,0.08841957,0.003564714,0.0001615298,0.00011700337,0.0007567948,0.00019807961,0.07705627],"genre_scores_gemma":[0.9953585,0.00059530523,0.0006942948,0.00009827784,0.00004800485,0.00001483605,0.000048703558,0.0000061241567,0.003135897],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994862,0.0001646851,0.000026447146,0.000087336826,0.00007632313,0.00015895217],"domain_scores_gemma":[0.9958127,0.0021266146,0.0012507488,0.0003046808,0.00023873223,0.00026650744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012855332,0.0005523107,0.0008954249,0.0011740794,0.00053848635,0.0023632543,0.0004695898,0.0013044936,0.010804268],"category_scores_gemma":[0.0054906104,0.0003910032,0.0009932464,0.0008371861,0.0014887666,0.0027130754,0.0026190819,0.0011954574,0.0004949555],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036731886,0.0003496734,0.026107363,0.00030584633,0.00029823786,0.00219947,0.00044353696,0.3296459,0.0028029778,0.60332686,0.004423135,0.029729726],"study_design_scores_gemma":[0.0002235234,0.0003905525,0.045347326,0.0002448805,0.00037262318,0.00063368335,0.0014513389,0.33521512,0.0016967296,0.6062462,0.008031663,0.00014637357],"about_ca_topic_score_codex":0.0038518286,"about_ca_topic_score_gemma":0.0018490534,"teacher_disagreement_score":0.99614817,"about_ca_system_score_codex":0.001194935,"about_ca_system_score_gemma":0.00046576236,"threshold_uncertainty_score":0.0361439},"labels":[],"label_agreement":null},{"id":"W4407248427","doi":"10.2139/ssrn.5128393","title":"Financial Development and Capital Flows: Appraisal of The“Allocation Puzzle” by Schumpeterian Growth","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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","funders":"","keywords":"Economics; Capital allocation line; Capital (architecture); Capital flows; Development (topology); Neoclassical economics; Growth model; Macroeconomics; Geography; Mathematics","score_opus":0.009456194059620346,"score_gpt":0.20181081226375652,"score_spread":0.19235461820413619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407248427","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26848328,0.08944953,0.03860786,0.3804796,0.0022762727,0.00011252538,0.0008734895,0.00022511816,0.21949236],"genre_scores_gemma":[0.9543683,0.029918985,0.002760767,0.0039194394,0.0037454555,0.00005113336,0.00016098551,0.000052029263,0.005023031],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992861,0.00028282483,0.000041039602,0.00009313978,0.00022527826,0.000071578776],"domain_scores_gemma":[0.9899949,0.006813426,0.0011734137,0.0006638955,0.0010695829,0.00028479114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038537611,0.00051090785,0.000831281,0.0041814377,0.0007460866,0.0042712996,0.0010425915,0.0025690186,0.0069593955],"category_scores_gemma":[0.020380318,0.00025840572,0.00057839765,0.0046700803,0.0052601956,0.0109954225,0.0025531615,0.0027176077,0.00048033133],"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":[0.000099706594,0.000017678642,0.0026896724,0.00013635478,0.000017431636,0.00013346938,0.00024666774,0.0016023698,0.00011321589,0.9592451,0.0068255435,0.028872821],"study_design_scores_gemma":[0.000021813868,0.000013762951,0.0033748723,0.00010395427,0.000010956992,0.000053623302,0.00024812692,0.005500867,0.0001141503,0.9823627,0.008181274,0.000013872469],"about_ca_topic_score_codex":0.0017069189,"about_ca_topic_score_gemma":0.0013551712,"teacher_disagreement_score":0.0069593955,"about_ca_system_score_codex":0.0021950556,"about_ca_system_score_gemma":0.0013668297,"threshold_uncertainty_score":0.023281515},"labels":[],"label_agreement":null},{"id":"W4407355544","doi":"10.2139/ssrn.5133501","title":"Global Innovation Shocks as Systematic Risk and Country-Industry Portfolio Returns","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Portfolio; Economics; Systematic risk; Financial economics; Business; Monetary economics","score_opus":0.012554679097521212,"score_gpt":0.23135655420685142,"score_spread":0.2188018751093302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407355544","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":[0.9901412,0.0006478995,0.0051516346,0.00050028495,0.000022112214,0.000007757011,0.00037477454,0.00009419382,0.0030603015],"genre_scores_gemma":[0.99731463,0.00042742013,0.00018394292,0.000024793415,0.000023674314,0.0000028232819,0.00017286811,0.000016919012,0.001832881],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999806,0.000058830956,0.000012014861,0.000040837964,0.000030174751,0.000052169922],"domain_scores_gemma":[0.9919042,0.0044900686,0.0023342804,0.00033939356,0.00031356356,0.0006185596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014313523,0.00041621824,0.0005277213,0.0013975458,0.00016726984,0.002464595,0.00029447916,0.0013153001,0.004518194],"category_scores_gemma":[0.009390266,0.0003205078,0.00051941053,0.002316121,0.00075974874,0.0022124336,0.0010976404,0.0011182778,0.0005651375],"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":[0.00093855173,0.00021757114,0.7053816,0.00016605253,0.0009747167,0.0017510925,0.00070459244,0.1388536,0.005624103,0.09446315,0.0055751144,0.045349807],"study_design_scores_gemma":[0.00007917623,0.00035139918,0.6445288,0.00009935177,0.00046140252,0.00077961764,0.0007433958,0.20722803,0.0018183425,0.14148746,0.0023030743,0.00011998852],"about_ca_topic_score_codex":0.0018837238,"about_ca_topic_score_gemma":0.0018450561,"teacher_disagreement_score":0.004518194,"about_ca_system_score_codex":0.00042263194,"about_ca_system_score_gemma":0.00025155107,"threshold_uncertainty_score":0.015114844},"labels":[],"label_agreement":null},{"id":"W4407564801","doi":"10.1007/978-3-031-73639-1_2","title":"The Impact of AI on Economic Growth: A Take for Emerging Economies","year":2025,"lang":"en","type":"book-chapter","venue":"Future of business and finance","topic":"Economic Growth and Productivity","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 Canada West","funders":"","keywords":"Economics; Business; Economy","score_opus":0.014168246317412854,"score_gpt":0.21397576053425332,"score_spread":0.19980751421684048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407564801","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":[0.013502386,0.119114235,0.005316751,0.06206839,0.003491807,0.000013542549,0.00026505458,0.00009649903,0.7961313],"genre_scores_gemma":[0.4209405,0.33557904,0.0054127527,0.0048632105,0.0067169582,0.000049121856,0.00031741796,0.000117262454,0.22600377],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997677,0.000059545604,0.00000696246,0.00002250304,0.00009850732,0.00004472158],"domain_scores_gemma":[0.99895453,0.000543648,0.000063934414,0.000058583973,0.0002751843,0.00010403919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071274856,0.00048101635,0.00029366638,0.0008785864,0.0008258137,0.005541841,0.0004130912,0.0009741047,0.008040293],"category_scores_gemma":[0.0018599781,0.0001104674,0.0002603969,0.002226746,0.0023333924,0.006546078,0.0011237727,0.002810629,0.0012427504],"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":[0.000019553201,0.000021428774,0.0006752024,0.00011402557,0.000008458704,0.000096148084,0.0003123495,0.0013217004,0.00013272435,0.8566813,0.046066567,0.09455054],"study_design_scores_gemma":[0.0000035730907,0.000024556872,0.002393337,0.00031460117,0.00001135762,0.00011686806,0.0008582892,0.0027787655,0.00024408761,0.57381725,0.41942367,0.000013594795],"about_ca_topic_score_codex":0.009325286,"about_ca_topic_score_gemma":0.011408494,"teacher_disagreement_score":0.009325286,"about_ca_system_score_codex":0.0031501302,"about_ca_system_score_gemma":0.0021413963,"threshold_uncertainty_score":0.02689743},"labels":[],"label_agreement":null},{"id":"W4407588150","doi":"10.54254/2754-1169/2025.20893","title":"Growth Experience Between the United States and Canada","year":2025,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Political science; International trade; Business","score_opus":0.015130755526267187,"score_gpt":0.23728322199658206,"score_spread":0.22215246647031486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407588150","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":[0.9241226,0.002220209,0.00011475439,0.008607117,0.00013548025,0.000024513676,0.001995773,0.000026586462,0.06275292],"genre_scores_gemma":[0.98201364,0.0025197724,0.00009979708,0.000919668,0.000017531102,0.000013260557,0.0011964383,0.000019842731,0.013200046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984829,0.00009597388,0.00003522032,0.00011790093,0.00043894292,0.0008290823],"domain_scores_gemma":[0.99693847,0.0001722982,0.00020435294,0.000053490247,0.0014981646,0.0011331626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007300183,0.00021953706,0.0003892992,0.0018337815,0.010985647,0.004707376,0.0007262681,0.0005603389,0.0042014755],"category_scores_gemma":[0.0026482253,0.0001464507,0.0002752169,0.007310948,0.0022464276,0.0013907043,0.002916664,0.001649103,0.00042446822],"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":[0.00039178916,0.00025940442,0.4909966,0.00019532643,0.000078522695,0.0029309348,0.27947974,0.000790922,0.0011181857,0.03646637,0.0706339,0.116658345],"study_design_scores_gemma":[0.000014752276,0.000053617274,0.4118452,0.00024553668,0.000029635867,0.0005522726,0.42134005,0.0005545394,0.00036619135,0.00085191906,0.16403762,0.00010864899],"about_ca_topic_score_codex":0.9951155,"about_ca_topic_score_gemma":0.99785405,"teacher_disagreement_score":0.05157797,"about_ca_system_score_codex":0.05157797,"about_ca_system_score_gemma":0.06687495,"threshold_uncertainty_score":0.3742261},"labels":[],"label_agreement":null},{"id":"W4407799351","doi":"10.1108/jes-08-2024-0575","title":"G10 cross-country connectedness over US growth","year":2025,"lang":"en","type":"article","venue":"Journal of Economic Studies","topic":"Economic Growth and Productivity","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":"Social connectedness; Economics; Psychology; Social psychology","score_opus":0.034552592305325126,"score_gpt":0.2931114520749179,"score_spread":0.25855885976959275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407799351","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":[0.98749566,0.00065480295,0.0018459113,0.0006846626,0.000024627447,0.000012188053,0.0010129032,0.000054051387,0.008215289],"genre_scores_gemma":[0.99817705,0.0003043485,0.00022155978,0.00007749546,0.000017283526,0.0000061182604,0.00068943866,0.0000087834,0.00049798115],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994943,0.00016704059,0.00003016572,0.00015773904,0.000057199835,0.00009356207],"domain_scores_gemma":[0.99622834,0.0012651392,0.0015125362,0.00043678452,0.00032903868,0.00022821293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012196063,0.00028191926,0.00031345413,0.001493315,0.00023749823,0.0013534263,0.00021456835,0.00032496706,0.0041486146],"category_scores_gemma":[0.004721702,0.00011553069,0.0006068277,0.0024152845,0.00046818945,0.0007822292,0.0013557548,0.0005470403,0.00028610925],"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":[0.00029846682,0.00006863695,0.92831635,0.00009020075,0.0007485122,0.0003869672,0.00060197443,0.018530054,0.00066269306,0.010014697,0.0022878377,0.03799359],"study_design_scores_gemma":[0.000016717619,0.00012772494,0.97096515,0.00008265643,0.00030810444,0.00024283052,0.0011267279,0.01270839,0.0009493128,0.006718774,0.006724469,0.000029124143],"about_ca_topic_score_codex":0.02005728,"about_ca_topic_score_gemma":0.011836177,"teacher_disagreement_score":0.02005728,"about_ca_system_score_codex":0.00083884265,"about_ca_system_score_gemma":0.00045563068,"threshold_uncertainty_score":0.03988111},"labels":[],"label_agreement":null},{"id":"W4407849193","doi":"10.1016/j.tncr.2025.200111","title":"The impact of informatization on total factor productivity and its regional differences: An empirical study based on Chinese data","year":2025,"lang":"en","type":"article","venue":"Transnational Corporation Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Informatization; Productivity; Impact factor; Empirical research; Factor (programming language); Total factor productivity; Computer science; Economics; Statistics; Political science; Mathematics; Economic growth; Telecommunications","score_opus":0.13046587271780843,"score_gpt":0.3457443641897544,"score_spread":0.21527849147194597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407849193","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":[0.9970822,0.00021693119,0.0003972423,0.000039962564,0.0000035503822,0.000009164109,0.001027152,0.00001071262,0.0012130172],"genre_scores_gemma":[0.9979395,0.00018831986,0.00017677994,0.0000073161873,0.0000073821175,0.000008472806,0.001320248,0.0000024829576,0.00034943712],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933785,0.00011460184,0.00008110051,0.00016360909,0.00016039197,0.00014241796],"domain_scores_gemma":[0.99703515,0.0010368072,0.0008449521,0.00030951353,0.00058025954,0.00019338737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013574816,0.00033809495,0.00043315245,0.0028463344,0.00038684718,0.0009172007,0.0002963233,0.00017400327,0.0014770762],"category_scores_gemma":[0.003208442,0.00011604875,0.0007825423,0.0065773944,0.00045153245,0.0007326541,0.0006243414,0.00028631528,0.0002489283],"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":[0.00006326804,0.000030537438,0.98235506,0.00006622679,0.00014017512,0.00027319376,0.0008360801,0.0023620627,0.00033304465,0.0006282141,0.00057123066,0.012340853],"study_design_scores_gemma":[0.0000033742026,0.000031886942,0.99584347,0.000007923477,0.00006556649,0.00003885534,0.0006739231,0.002020794,0.0002415395,0.000087129796,0.0009769769,0.000008595843],"about_ca_topic_score_codex":0.07929093,"about_ca_topic_score_gemma":0.06096002,"teacher_disagreement_score":0.07929093,"about_ca_system_score_codex":0.0013506081,"about_ca_system_score_gemma":0.0014605889,"threshold_uncertainty_score":0.15765882},"labels":[],"label_agreement":null},{"id":"W4407868748","doi":"10.33423/jabe.v27i1.7526","title":"The Application of the Sahm Rule to Determine the Likelihood of a Recession in 2025","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Recession; Econometrics; Economics; Keynesian economics","score_opus":0.012336219307481737,"score_gpt":0.2062168434808877,"score_spread":0.19388062417340596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407868748","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":[0.6903342,0.0030827047,0.2590804,0.0053207497,0.00066224934,0.00022664493,0.0022569192,0.00060038525,0.0384358],"genre_scores_gemma":[0.96693236,0.00048839895,0.029108526,0.00044488508,0.00032970088,0.00008142929,0.0010417716,0.00004184096,0.0015311884],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949032,0.0024812836,0.00035853728,0.00080965733,0.0011323706,0.00031493304],"domain_scores_gemma":[0.94527876,0.043407846,0.0047964593,0.001711778,0.0037369723,0.0010681653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013548766,0.0004814815,0.0011880373,0.00387328,0.000776138,0.0022489468,0.0014037122,0.0013269577,0.0023682027],"category_scores_gemma":[0.08225049,0.00031964638,0.0009629746,0.0017573853,0.0014474039,0.0020519695,0.0018017328,0.001994951,0.0011032295],"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":[0.00068400195,0.00013183634,0.5972892,0.00023017787,0.000473377,0.0011361075,0.0009208098,0.14390057,0.00047509742,0.07240058,0.019041307,0.16331694],"study_design_scores_gemma":[0.00006602848,0.00037058356,0.090570785,0.00038767327,0.00010407153,0.00082450826,0.0012013033,0.7576097,0.0013334947,0.13800247,0.00940585,0.00012349892],"about_ca_topic_score_codex":0.0049992497,"about_ca_topic_score_gemma":0.0034591556,"teacher_disagreement_score":0.013548766,"about_ca_system_score_codex":0.0008890718,"about_ca_system_score_gemma":0.0012913382,"threshold_uncertainty_score":0.071653545},"labels":[],"label_agreement":null},{"id":"W4408226760","doi":"10.1142/s0219877025500105","title":"Innovation Effects of Information and Communication Technologies: Evidence from Canadian Firms","year":2025,"lang":"en","type":"article","venue":"International Journal of Innovation and Technology Management","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; Western University","funders":"","keywords":"Business; Industrial organization; Information and Communications Technology; Marketing; Knowledge management; Computer science","score_opus":0.012458595001390854,"score_gpt":0.23157106117791904,"score_spread":0.2191124661765282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408226760","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":[0.95950294,0.010389312,0.0005518922,0.0025474508,0.00003279597,0.00007702112,0.0060291314,0.000029589497,0.020839738],"genre_scores_gemma":[0.9890232,0.0060683684,0.00034956733,0.00025312253,0.000019681538,0.000017995308,0.0021989946,0.000006164839,0.0020629636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99678826,0.0002899404,0.00015392981,0.00034419063,0.0017317929,0.00069193117],"domain_scores_gemma":[0.97787434,0.0075121936,0.00490291,0.000826629,0.0071128565,0.0017710788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026286594,0.0003372004,0.00041771357,0.004502522,0.0018004152,0.0023131974,0.0010486491,0.000815178,0.002193022],"category_scores_gemma":[0.016978694,0.00020372667,0.0008721103,0.012956591,0.0011239921,0.00086389424,0.0010106041,0.00077192485,0.00023059375],"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":[0.00022764437,0.0002141325,0.92193395,0.0007175328,0.00026303026,0.00029450745,0.0027413403,0.0025292817,0.00034326364,0.004046839,0.00686126,0.05982728],"study_design_scores_gemma":[0.000019876737,0.000038185015,0.99071807,0.00014540834,0.00016268448,0.000043426255,0.0010554343,0.0009691076,0.00026912018,0.00022285774,0.0063273385,0.00002847939],"about_ca_topic_score_codex":0.98711383,"about_ca_topic_score_gemma":0.990105,"teacher_disagreement_score":0.031402215,"about_ca_system_score_codex":0.031402215,"about_ca_system_score_gemma":0.03567929,"threshold_uncertainty_score":0.22784007},"labels":[],"label_agreement":null},{"id":"W4408430815","doi":"10.1007/s10690-024-09505-3","title":"Financial Market Structures, Financial Market Openness, and the Innovation-Growth Nexus? Evidence from Developing Countries","year":2025,"lang":"en","type":"article","venue":"Asia-Pacific Financial Markets","topic":"Economic Growth and Productivity","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":"Trent University","funders":"","keywords":"Nexus (standard); Openness to experience; Business; Financial system; Finance; Financial market","score_opus":0.015361115393312558,"score_gpt":0.21091422473984464,"score_spread":0.19555310934653208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408430815","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":[0.9691186,0.008548277,0.00017531072,0.002451901,0.000015702908,0.000013090486,0.0007198323,0.0000062452737,0.018951036],"genre_scores_gemma":[0.99560463,0.0036654354,0.000044916982,0.000095924384,0.00002120209,0.0000031260201,0.00021208833,0.0000014899014,0.0003512268],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996915,0.00007405738,0.000030600488,0.000046035446,0.000054259566,0.00010364814],"domain_scores_gemma":[0.988574,0.0044451854,0.0051451237,0.00036644776,0.0006656104,0.0008036987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015005729,0.0002856778,0.00038679558,0.0018042946,0.0005897327,0.0023854305,0.00037627132,0.0005729238,0.0052093654],"category_scores_gemma":[0.0053682537,0.00018215494,0.00041850435,0.003724724,0.0021286833,0.0021878101,0.0014540753,0.0010152439,0.00032036455],"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":[0.00069095095,0.00023281299,0.9422802,0.0003186765,0.0003070706,0.0006718475,0.0015736067,0.0014772542,0.00041837254,0.013646384,0.0011691109,0.03721371],"study_design_scores_gemma":[0.000051566145,0.00009816164,0.98841965,0.00021055114,0.00023362854,0.00014630925,0.0026538272,0.0005192186,0.00029875134,0.0030647633,0.0042889803,0.000014561624],"about_ca_topic_score_codex":0.01875273,"about_ca_topic_score_gemma":0.024504712,"teacher_disagreement_score":0.01875273,"about_ca_system_score_codex":0.0005615735,"about_ca_system_score_gemma":0.0009685299,"threshold_uncertainty_score":0.037287116},"labels":[],"label_agreement":null},{"id":"W4409107178","doi":"10.55016/ojs/sppp.v18i1.80463","title":"Sectoral Contributions to Labour Productivity Growth","year":2025,"lang":"en","type":"article","venue":"The School of Public Policy Publications","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Productivity; Economics; Labour economics; Economic geography; Macroeconomics","score_opus":0.03392153538597305,"score_gpt":0.285757520983438,"score_spread":0.25183598559746495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409107178","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":[0.7186553,0.008136354,0.0155535815,0.018018754,0.00080753234,0.0002946049,0.029992295,0.0011984248,0.20734318],"genre_scores_gemma":[0.96359485,0.0034599493,0.002765793,0.00049747585,0.00010434972,0.0000491258,0.006239733,0.0000716511,0.02321704],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964489,0.0002992006,0.00012537435,0.00025379096,0.0016293469,0.0012433789],"domain_scores_gemma":[0.99463505,0.00044648856,0.00053801003,0.00037962024,0.0034583772,0.0005425441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025956058,0.00065412687,0.00047809444,0.0033324854,0.0013194858,0.002608239,0.00061141024,0.00038462598,0.004321242],"category_scores_gemma":[0.0065811183,0.0003040165,0.0013446285,0.0067474563,0.0010199541,0.00060734816,0.0023843832,0.0013636929,0.0010886634],"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":[0.00032934843,0.000080461075,0.5978437,0.0005674974,0.0007144828,0.00088973495,0.0038060804,0.022522004,0.004663374,0.05979322,0.036186356,0.2726038],"study_design_scores_gemma":[0.000035760455,0.00006574889,0.7544306,0.00038033407,0.00026717054,0.00035413928,0.0036793086,0.01796425,0.0033450266,0.017432291,0.20196825,0.00007716579],"about_ca_topic_score_codex":0.7844606,"about_ca_topic_score_gemma":0.84317076,"teacher_disagreement_score":0.7844606,"about_ca_system_score_codex":0.02000268,"about_ca_system_score_gemma":0.03866258,"threshold_uncertainty_score":0.43361747},"labels":[],"label_agreement":null},{"id":"W4409108451","doi":"10.3390/jrfm18040189","title":"The Impact of Digital Transformation on Economic Integration in ASEAN-6: Evidence from a Generalized Least Squares (GLS) Model","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Generalized least squares; Transformation (genetics); Least-squares function approximation; Econometrics; Economics; Mathematics; Statistics; Chemistry","score_opus":0.021054589107667374,"score_gpt":0.24338320083854775,"score_spread":0.22232861173088037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409108451","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":[0.9846652,0.00088078086,0.0060440092,0.0018745853,0.000070031936,0.000035627734,0.0008115043,0.00016523976,0.0054529645],"genre_scores_gemma":[0.99541205,0.00056039734,0.0011427772,0.00013833519,0.000025804435,0.00002267265,0.0010930824,0.000015957254,0.0015890283],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969573,0.0016247692,0.00014515965,0.00047643992,0.00032309574,0.00047327197],"domain_scores_gemma":[0.9926456,0.0042253216,0.0017425483,0.0003644031,0.0006377382,0.00038436463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045940094,0.0010945257,0.001136581,0.0012912466,0.00097335177,0.002670414,0.0011133542,0.0007498997,0.004266688],"category_scores_gemma":[0.007913638,0.00036677835,0.0019793399,0.002356929,0.0016026306,0.0017205381,0.0024513344,0.0020447867,0.00067032716],"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":[0.00080624974,0.0009091025,0.68479073,0.00028950642,0.0019469508,0.0021490636,0.00096216245,0.22295703,0.00063703617,0.023330912,0.008632525,0.052588798],"study_design_scores_gemma":[0.00019611552,0.0010231266,0.38907468,0.00014954626,0.0012202743,0.00041573885,0.004707599,0.5745111,0.0011068113,0.015842801,0.011586898,0.00016527204],"about_ca_topic_score_codex":0.09510559,"about_ca_topic_score_gemma":0.054330226,"teacher_disagreement_score":0.09510559,"about_ca_system_score_codex":0.0017343253,"about_ca_system_score_gemma":0.002582611,"threshold_uncertainty_score":0.18910402},"labels":[],"label_agreement":null},{"id":"W4409204333","doi":"10.18280/ijsdp.200322","title":"Mapping and Achievement of Sustainable Development Goals in Indonesia's High-Tech Industries: A Tale of Two Industries","year":2025,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustainable development; Business; High tech; Agricultural economics; Industrial organization; Economics; Geography; Political science","score_opus":0.02106989621549719,"score_gpt":0.2372643951310416,"score_spread":0.21619449891554443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409204333","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":[0.9733602,0.0001649717,0.0030404422,0.0014234902,0.000013848695,0.000079082834,0.00006285875,0.0000107919695,0.021844348],"genre_scores_gemma":[0.9954625,0.00018255913,0.0019874263,0.00011510237,0.0000032427788,0.000055757573,0.000051386076,0.000009034734,0.0021330963],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9983197,0.0009059828,0.00007714966,0.000117698335,0.00037446606,0.0002049245],"domain_scores_gemma":[0.99699056,0.0017871021,0.00042717188,0.00018499407,0.00043717102,0.00017304825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002913491,0.00021033945,0.0001824494,0.0016411586,0.0027583372,0.00332384,0.0005192638,0.0006008539,0.0011973127],"category_scores_gemma":[0.0036567457,0.00017294088,0.00015958778,0.0027011172,0.002905345,0.0027992162,0.002522066,0.0010181813,0.00013503488],"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":[0.00009479465,0.00037786175,0.12241196,0.0004953658,0.000021953934,0.0028625305,0.73751295,0.00096985744,0.0050285514,0.027748343,0.0025389919,0.09993686],"study_design_scores_gemma":[0.000005535393,0.00006004548,0.08984486,0.00024432305,0.000011649133,0.00031885735,0.8791799,0.0017741587,0.0034568394,0.004373442,0.020702608,0.000027800981],"about_ca_topic_score_codex":0.0076876623,"about_ca_topic_score_gemma":0.011032232,"teacher_disagreement_score":0.0076876623,"about_ca_system_score_codex":0.0033359984,"about_ca_system_score_gemma":0.0029551405,"threshold_uncertainty_score":0.024204493},"labels":[],"label_agreement":null},{"id":"W4410037421","doi":"10.1016/j.jeca.2025.e00419","title":"Does economic convergence diverge along the income distribution? Evidence from a decile-based analysis","year":2025,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Decile; Economics; Convergence (economics); Econometrics; Income distribution; Distribution (mathematics); Mathematics; Inequality; Statistics; Macroeconomics","score_opus":0.020024790732903558,"score_gpt":0.24004106037693668,"score_spread":0.22001626964403312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410037421","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":[0.97450894,0.003574794,0.002989782,0.001647419,0.000059959297,0.00002573945,0.00094788225,0.000028958468,0.01621653],"genre_scores_gemma":[0.9982622,0.0004641635,0.00024897204,0.0001019237,0.00003304721,0.000011844568,0.0005580287,0.000014468821,0.00030532313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956981,0.0022585979,0.00030966348,0.00062183867,0.0005612727,0.0005504881],"domain_scores_gemma":[0.9717187,0.014208304,0.006088008,0.0030797082,0.0036814385,0.0012238456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006893006,0.0003296272,0.0009199998,0.0046419185,0.0007397171,0.0022005048,0.0007806237,0.0006525217,0.008080595],"category_scores_gemma":[0.03400316,0.00021770461,0.0008327053,0.0047319722,0.0017556186,0.0034484693,0.0049851756,0.0015974499,0.0013981615],"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":[0.000609491,0.00008202932,0.94683075,0.00017269752,0.0004519174,0.00025017778,0.0028225952,0.0010724269,0.00009954394,0.012065782,0.0018813666,0.033661257],"study_design_scores_gemma":[0.000034334647,0.00017266911,0.96974236,0.00045036103,0.00025988003,0.00034247222,0.009093462,0.0031561637,0.00021173341,0.011247624,0.0052554845,0.00003334996],"about_ca_topic_score_codex":0.0030491059,"about_ca_topic_score_gemma":0.0018943831,"teacher_disagreement_score":0.008080595,"about_ca_system_score_codex":0.0003761296,"about_ca_system_score_gemma":0.00041238987,"threshold_uncertainty_score":0.03645414},"labels":[],"label_agreement":null},{"id":"W4410580510","doi":"10.3138/cpp.2024-043","title":"Assessing the Impact of Demographic Composition on Productivity","year":2025,"lang":"fr","type":"article","venue":"Canadian Public Policy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Productivity; Composition (language); Economics; Economic growth; Art","score_opus":0.035702261369188436,"score_gpt":0.2841122293102175,"score_spread":0.24840996794102907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410580510","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":[0.98806727,0.0011235892,0.0031721864,0.00042932614,0.000032847878,0.000055400487,0.002587745,0.00003061286,0.0045011532],"genre_scores_gemma":[0.9956109,0.0005269659,0.000805055,0.00005080593,0.000017493077,0.000029161705,0.0012150148,0.000007852271,0.001736799],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978508,0.0011603159,0.000089435656,0.00026502903,0.0003566583,0.0002778649],"domain_scores_gemma":[0.99136823,0.004639046,0.0017709397,0.000650019,0.0010007365,0.00057098817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042203283,0.00046068055,0.00034114817,0.0013532457,0.00040928822,0.0010293433,0.00053748436,0.00038396835,0.0033595883],"category_scores_gemma":[0.014898873,0.00017047994,0.0007167288,0.0019917644,0.00045269457,0.0008636021,0.0010146613,0.00033301645,0.00056990737],"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":[0.00013542868,0.000021666625,0.9833302,0.000040874573,0.00023016003,0.00006558153,0.00022600256,0.0022821228,0.00023929364,0.00033302538,0.00021142699,0.012884155],"study_design_scores_gemma":[0.000004112386,0.00011900804,0.9947773,0.000020271642,0.000059777285,0.000031611253,0.00047544797,0.0023190146,0.00024253801,0.00030054798,0.0016430707,0.000007356073],"about_ca_topic_score_codex":0.06298568,"about_ca_topic_score_gemma":0.06104872,"teacher_disagreement_score":0.93701434,"about_ca_system_score_codex":0.0011365457,"about_ca_system_score_gemma":0.0013334176,"threshold_uncertainty_score":0.12523812},"labels":[],"label_agreement":null},{"id":"W4410629221","doi":"10.1007/978-3-031-89711-5_2","title":"Demographic Transition Theories and Innovation","year":2025,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in entrepreneurship and innovation","topic":"Economic Growth and Productivity","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":"Carleton University","funders":"","keywords":"Transition (genetics); Economic geography; Sociology; Economics; Chemistry","score_opus":0.025239693879126977,"score_gpt":0.21383314663409556,"score_spread":0.18859345275496858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410629221","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028427526,0.09960752,0.017153045,0.05915006,0.0018593386,0.00004173016,0.0005953541,0.00009593302,0.7930694],"genre_scores_gemma":[0.56893104,0.094078146,0.003219513,0.0039079464,0.0029071607,0.0001303071,0.0005363496,0.00006859025,0.32622105],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997979,0.000084134655,0.0000060567822,0.000035396635,0.00003962345,0.00003699558],"domain_scores_gemma":[0.99921846,0.000520845,0.0000580323,0.00005933138,0.00007678109,0.00006653715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006609833,0.00039749435,0.00036993827,0.0012247699,0.0008378341,0.002743563,0.0004991136,0.001454774,0.017666064],"category_scores_gemma":[0.0017730717,0.000145836,0.00024393632,0.002373385,0.0026236572,0.0031550738,0.0009685853,0.001674063,0.0018632874],"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":[0.0000028558097,0.000013730901,0.0003401094,0.000025428466,0.0000026303383,0.000021773696,0.00033183338,0.00045280138,0.000010739453,0.96616024,0.014391639,0.018246237],"study_design_scores_gemma":[0.0000026863133,0.000004741107,0.00072540494,0.00007225627,0.0000031286786,0.00004616769,0.00040814618,0.00051121064,0.00001797721,0.89168805,0.1065168,0.0000033744566],"about_ca_topic_score_codex":0.002966265,"about_ca_topic_score_gemma":0.0035055468,"teacher_disagreement_score":0.017666064,"about_ca_system_score_codex":0.0014302813,"about_ca_system_score_gemma":0.0008635099,"threshold_uncertainty_score":0.0590989},"labels":[],"label_agreement":null},{"id":"W4410634111","doi":"10.5539/sar.v14n2p1","title":"Technological Advancements and Adoption Promote Agricultural Capital Investment: An Empirical Analysis of Tay Ninh Province, Vietnam","year":2025,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Investment (military); Agriculture; Capital (architecture); Capital investment; Agricultural economics; Economics; Business; Natural resource economics; Geography; Political science; Archaeology; Finance","score_opus":0.028203663133718956,"score_gpt":0.29982457551217057,"score_spread":0.2716209123784516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410634111","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":[0.9990244,0.00003350396,0.000032825614,0.00005299906,0.0000010694868,0.0000058796263,0.00007013237,6.465316e-7,0.0007784713],"genre_scores_gemma":[0.9991678,0.00006338685,0.000036447942,0.000011398708,8.678211e-7,0.0000061456067,0.00008518829,5.9579605e-7,0.00062826875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980277,0.0000399236,0.000008041193,0.000030576673,0.000024178431,0.00009457693],"domain_scores_gemma":[0.99919826,0.00024521185,0.00021951132,0.000024497658,0.00010417519,0.0002082734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033481888,0.00015145008,0.00014608208,0.00048060084,0.0005924465,0.00066938496,0.00027631593,0.00016164334,0.0017386881],"category_scores_gemma":[0.00084133656,0.00016337167,0.00018824758,0.0012151796,0.00047838598,0.00035654192,0.00042403874,0.00040069965,0.0001470587],"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":[0.000023721965,0.000119589015,0.98692155,0.000036126585,0.00002171082,0.0004912758,0.005057699,0.0005501404,0.0002927218,0.00063309475,0.00032427374,0.0055282027],"study_design_scores_gemma":[0.000005160845,0.000053118383,0.9734673,0.000031708576,0.000019780164,0.00008409629,0.022783175,0.001673256,0.00011879784,0.00009219027,0.0016663163,0.000005057942],"about_ca_topic_score_codex":0.25879732,"about_ca_topic_score_gemma":0.32447305,"teacher_disagreement_score":0.25879732,"about_ca_system_score_codex":0.0021239542,"about_ca_system_score_gemma":0.0036073958,"threshold_uncertainty_score":0.5145819},"labels":[],"label_agreement":null},{"id":"W4410785203","doi":"10.1093/9780199289011.003.0084","title":"Technology Transfer Arrangements","year":2011,"lang":"en","type":"book-chapter","venue":"","topic":"Economic Growth and Productivity","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":"Business","score_opus":0.05193229242933374,"score_gpt":0.1858191196608856,"score_spread":0.13388682723155187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410785203","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029916086,0.00061399274,0.0022377297,0.00062461616,0.000066091256,0.000050986444,0.00005276083,0.00003319932,0.99332905],"genre_scores_gemma":[0.23096746,0.0027284366,0.005254552,0.0012796355,0.00019167799,0.00025558955,0.00029197228,0.00008272019,0.75894797],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99765056,0.0003755656,0.00008819192,0.00038360062,0.0010689938,0.00043313662],"domain_scores_gemma":[0.9991685,0.00023002962,0.000056214634,0.00018315579,0.00026993424,0.00009214202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011918406,0.00036601143,0.00026817762,0.002161675,0.0037654084,0.0049580815,0.0010057875,0.001980727,0.050418716],"category_scores_gemma":[0.002295008,0.00035453352,0.00037260857,0.0025721658,0.0053708055,0.0043453746,0.002770789,0.0026668974,0.0068507683],"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":[0.0000024757896,0.00000801788,0.00004331078,0.000014346446,6.449171e-7,0.000042706462,0.0003958711,0.00016248833,0.00007068386,0.9853247,0.0046595265,0.009275266],"study_design_scores_gemma":[0.000007261433,0.000023339368,0.0005466611,0.00015323062,0.0000053189956,0.00019974542,0.0005728451,0.000542161,0.00052370096,0.17845298,0.8189536,0.000019150459],"about_ca_topic_score_codex":0.018073067,"about_ca_topic_score_gemma":0.01796107,"teacher_disagreement_score":0.050418716,"about_ca_system_score_codex":0.0100358315,"about_ca_system_score_gemma":0.0067525553,"threshold_uncertainty_score":0.16866744},"labels":[],"label_agreement":null},{"id":"W4411177823","doi":"10.1016/j.red.2025.101298","title":"Entrepreneurial rates of return and wealth inequality","year":2025,"lang":"en","type":"article","venue":"Review of Economic Dynamics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada; Social Sciences and Humanities Research Council; Western University; University of Bristol; University of Guelph; York University; University of Manchester; University of Manitoba; McMaster University","keywords":"Economics; Inequality; Neoclassical economics; Labour economics; Mathematics","score_opus":0.024377175939347687,"score_gpt":0.27800833720695456,"score_spread":0.2536311612676069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411177823","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":[0.92498636,0.005726776,0.023743846,0.0056369556,0.000055045875,0.00001919741,0.00044659208,0.000040894334,0.039344225],"genre_scores_gemma":[0.9973369,0.0009537237,0.00044227228,0.000051741146,0.000040617047,0.000005989661,0.000078429955,0.0000032484759,0.0010868593],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996197,0.00016186896,0.000019979618,0.00006146859,0.00006467559,0.00007215002],"domain_scores_gemma":[0.9968076,0.0014410404,0.0011189037,0.00023236198,0.00020747946,0.00019268133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010988939,0.00013445682,0.00020894763,0.001008223,0.00022676839,0.001082145,0.0002786028,0.00036621597,0.0013124332],"category_scores_gemma":[0.008386344,0.00007057497,0.000121228324,0.0008954032,0.00078672305,0.0014105883,0.0007917831,0.000647801,0.00022208705],"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":[0.00014179638,0.000100960715,0.34017196,0.0000611259,0.000106271094,0.00042697205,0.0009999496,0.022088876,0.00053230545,0.5629653,0.0029448767,0.0694597],"study_design_scores_gemma":[0.000017058568,0.00008598968,0.291402,0.0001782531,0.000026835054,0.0008840354,0.0010341278,0.04442476,0.0004310438,0.64919204,0.01228357,0.000040309198],"about_ca_topic_score_codex":0.0015032551,"about_ca_topic_score_gemma":0.0009335833,"teacher_disagreement_score":0.0015032551,"about_ca_system_score_codex":0.00047830984,"about_ca_system_score_gemma":0.00014083312,"threshold_uncertainty_score":0.0058116317},"labels":[],"label_agreement":null},{"id":"W4411858475","doi":"10.1007/978-981-96-4371-4_1","title":"Vietnam 30 Years After 1995 Normalization","year":2025,"lang":"en","type":"book-chapter","venue":"Frontiers in South and Southeast Asian Development Research.","topic":"Economic Growth and Productivity","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":"Dalhousie University","funders":"","keywords":"Normalization (sociology); History; Sociology; Social science","score_opus":0.0265947537510755,"score_gpt":0.22543486412322875,"score_spread":0.19884011037215324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411858475","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":[0.10419948,0.039175157,0.001070521,0.038430184,0.007098675,0.00013352593,0.008776593,0.0001370473,0.8009789],"genre_scores_gemma":[0.25322953,0.0072381017,0.0004635332,0.0049068574,0.00043846449,0.00009826656,0.002760443,0.00007651541,0.73078823],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99960905,0.000054133223,0.000015144995,0.0000669922,0.00007848841,0.00017620089],"domain_scores_gemma":[0.999595,0.000031170555,0.000027373751,0.000036687637,0.00018227278,0.00012739553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070820196,0.0002214525,0.00020308026,0.00066212297,0.0013693521,0.0024087215,0.00044748498,0.00052851567,0.032878626],"category_scores_gemma":[0.0011419127,0.00014885749,0.00014080654,0.001436213,0.00093437615,0.0016676426,0.0013549719,0.001014686,0.0044012284],"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":[0.00035146077,0.000116295494,0.007879817,0.0004602516,0.000025458541,0.001088017,0.006989568,0.0004964035,0.00068760524,0.29939216,0.446935,0.23557799],"study_design_scores_gemma":[0.000007612069,0.000018215811,0.008949888,0.00010936013,0.0000028113245,0.00007546745,0.0016611052,0.000046452395,0.00027175187,0.0029976738,0.9858539,0.0000058388705],"about_ca_topic_score_codex":0.1273498,"about_ca_topic_score_gemma":0.15595625,"teacher_disagreement_score":0.1273498,"about_ca_system_score_codex":0.009457891,"about_ca_system_score_gemma":0.0061261016,"threshold_uncertainty_score":0.25321704},"labels":[],"label_agreement":null},{"id":"W4411902246","doi":"10.3390/jrfm18070359","title":"Impact of Digitalization on Sustainable Development: A Comparative Analysis of Developed and Developing Economies","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustainable development; Developing country; Economics; Business; Economic geography; Economic growth; Political science","score_opus":0.019511330063219652,"score_gpt":0.2464442936057198,"score_spread":0.22693296354250014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411902246","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":[0.98809016,0.0018084967,0.0005881464,0.00029417724,0.0000061544138,0.00002338978,0.0017267585,0.0000053030385,0.007457396],"genre_scores_gemma":[0.99735117,0.0012294478,0.00019701725,0.000025460513,0.0000043388814,0.000011175251,0.0009745154,0.0000024442104,0.00020449408],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934214,0.000262145,0.00004176705,0.00007241421,0.00012455374,0.00015684745],"domain_scores_gemma":[0.9974317,0.0013765722,0.00048265466,0.00019814495,0.00034811406,0.0001628443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001452443,0.00020333155,0.00036498043,0.0033528523,0.00029351076,0.0014012187,0.00022678354,0.00018955937,0.0020624814],"category_scores_gemma":[0.0037963595,0.00010323425,0.0005790391,0.0067962245,0.00088634354,0.0014020863,0.0018966249,0.00041310358,0.000118984884],"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":[0.00031605118,0.00013905953,0.9170648,0.00045675164,0.00085074775,0.00072959857,0.0012784073,0.023414806,0.00057699846,0.015922984,0.0014948626,0.037754938],"study_design_scores_gemma":[0.0000138974465,0.00010313253,0.9802797,0.00016753572,0.00025855782,0.000115181974,0.003871062,0.003572107,0.000537432,0.0023717834,0.008691498,0.000018240988],"about_ca_topic_score_codex":0.018116843,"about_ca_topic_score_gemma":0.019370498,"teacher_disagreement_score":0.018116843,"about_ca_system_score_codex":0.0011067431,"about_ca_system_score_gemma":0.0011719135,"threshold_uncertainty_score":0.036022782},"labels":[],"label_agreement":null},{"id":"W4411951440","doi":"10.56472/25835238/irjems-v3i5p136","title":"Futuristic Projection of Time-Varying NAIRU for Canadian Economy and Its Implication for Changes in Economic Growth","year":2024,"lang":"en","type":"article","venue":"International Research Journal of Economics and Management Studies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"NAIRU; Economics; Projection (relational algebra); Macroeconomics; Economic system; Keynesian economics; Unemployment; Mathematics; Phillips curve","score_opus":0.11005645703422315,"score_gpt":0.34985280680958325,"score_spread":0.2397963497753601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411951440","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":[0.9526816,0.0018196997,0.0077135526,0.0022987206,0.00009602412,0.00003605695,0.014059338,0.0001930134,0.021101953],"genre_scores_gemma":[0.99072194,0.0007145414,0.001588328,0.000051570452,0.000012343513,0.00000918218,0.0039839065,0.00001760619,0.0029004787],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963903,0.000025243946,0.000014018624,0.00007589418,0.00012238631,0.00012331313],"domain_scores_gemma":[0.99906915,0.00009096453,0.00010047838,0.00003336284,0.0006144288,0.00009162605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064242765,0.0003159898,0.00025926848,0.0018783797,0.001157837,0.0017116814,0.00048713593,0.00038916807,0.0023800817],"category_scores_gemma":[0.0028921058,0.00013874802,0.0004985242,0.0029536462,0.00032841202,0.00062738924,0.00059211935,0.00072208594,0.00024123417],"study_design_candidate":"simulation_or_modeling","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":[0.00028044434,0.00006907719,0.78164923,0.00032604733,0.0002353693,0.00080466934,0.0018869936,0.053993076,0.0026981146,0.046122886,0.018058168,0.09387593],"study_design_scores_gemma":[0.000010951825,0.00003881482,0.8308292,0.00010737073,0.000104274826,0.0001594403,0.002648351,0.135825,0.0014058601,0.0043328344,0.024417056,0.00012076116],"about_ca_topic_score_codex":0.9561492,"about_ca_topic_score_gemma":0.95727736,"teacher_disagreement_score":0.04385078,"about_ca_system_score_codex":0.008448355,"about_ca_system_score_gemma":0.011512538,"threshold_uncertainty_score":0.08821797},"labels":[],"label_agreement":null},{"id":"W4412464501","doi":"10.1016/j.ijis.2025.07.002","title":"The interplay between innovation adoption and pricing competitiveness in Sub-Saharan Africa","year":2025,"lang":"en","type":"article","venue":"International Journal of Innovation Studies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Johannesburg; International Development Research Centre; United Nations Development Programme; African Development Bank Group; Universitatea Alexandru Ioan Cuza din Iași","keywords":"Business; Industrial organization; Economic geography; Economics","score_opus":0.05437651352467853,"score_gpt":0.31508049602341603,"score_spread":0.2607039824987375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412464501","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":[0.9985744,0.0003242095,0.0001878712,0.00007045964,0.0000026963894,0.0000035577373,0.000063914966,0.0000021845774,0.00077064696],"genre_scores_gemma":[0.9996922,0.00014433215,0.00004588387,0.0000060646726,0.000003597647,0.0000016759581,0.000038891696,7.4427027e-7,0.000066727596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912065,0.00033447373,0.000046212408,0.00011569161,0.000099864024,0.0002831142],"domain_scores_gemma":[0.9951938,0.002325318,0.0018820029,0.00011999381,0.00021887568,0.00025999543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011112405,0.00028099644,0.0003722283,0.0011150435,0.00033885246,0.0014949008,0.00020700628,0.00029714542,0.0018686871],"category_scores_gemma":[0.0053081047,0.00016635018,0.0003889639,0.002189145,0.0005783893,0.00096243905,0.0008610053,0.00053192425,0.00010743374],"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":[0.000088107234,0.000059461614,0.9835873,0.00004367256,0.0001459923,0.0004883964,0.0006400943,0.0021901214,0.00047470652,0.0016411734,0.00013215709,0.010508805],"study_design_scores_gemma":[0.0000063568164,0.00006868787,0.99444664,0.000021733875,0.00007713952,0.00012465958,0.001476299,0.0024943284,0.0002132622,0.00037540647,0.0006877286,0.000007837113],"about_ca_topic_score_codex":0.01470241,"about_ca_topic_score_gemma":0.013426707,"teacher_disagreement_score":0.01470241,"about_ca_system_score_codex":0.0006356157,"about_ca_system_score_gemma":0.00064858585,"threshold_uncertainty_score":0.029233634},"labels":[],"label_agreement":null},{"id":"W4413135896","doi":"10.1061/9780784486368.013","title":"The Art of Doing Twice the Work in Half the Time: A Programmatic Approach to Accelerating Population Growth Demands","year":2025,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Work (physics); Computer science; Population; Industrial engineering; Engineering; Mechanical engineering; Demography; Sociology","score_opus":0.02261592737577583,"score_gpt":0.21392625637798265,"score_spread":0.19131032900220682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413135896","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24906054,0.0028288774,0.11968483,0.18431485,0.00036628038,0.00047959853,0.00035650734,0.000591787,0.44231665],"genre_scores_gemma":[0.9569075,0.001136562,0.019419678,0.0020740994,0.000095801486,0.0001694651,0.00006683552,0.00005627299,0.0200738],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979467,0.0012784342,0.000019458836,0.00012530478,0.00024629364,0.00038385042],"domain_scores_gemma":[0.998256,0.0005035281,0.00018174987,0.00012766109,0.00026288952,0.00066823506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001822646,0.00022876589,0.00014493894,0.0005074878,0.0024313058,0.0034163066,0.0012663774,0.0011858101,0.0054762666],"category_scores_gemma":[0.004710328,0.00019984419,0.00022841671,0.00092201104,0.0029575499,0.0025147325,0.0026421505,0.001854999,0.00042145877],"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":[0.00020243217,0.00080968306,0.012404844,0.0003176094,0.00005761344,0.0005070285,0.0075393324,0.03216785,0.0025988456,0.6638791,0.06580412,0.21371154],"study_design_scores_gemma":[0.00024260658,0.0008783244,0.035555504,0.0005814881,0.000076735676,0.00055785273,0.023027988,0.057264086,0.0024036362,0.35702673,0.52224797,0.00013708723],"about_ca_topic_score_codex":0.09573119,"about_ca_topic_score_gemma":0.22428581,"teacher_disagreement_score":0.09573119,"about_ca_system_score_codex":0.0088912165,"about_ca_system_score_gemma":0.021357195,"threshold_uncertainty_score":0.19034797},"labels":[],"label_agreement":null},{"id":"W4413197822","doi":"10.2139/ssrn.5388483","title":"Is Distance from Innovation a Barrier to the Adoption of Artificial Intelligence? ∗","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Quest University Canada; McGill University","funders":"","keywords":"Business; Knowledge management; Industrial organization; Computer science","score_opus":0.034251055478884025,"score_gpt":0.24952880498809826,"score_spread":0.21527774950921424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413197822","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":[0.58682436,0.0055626417,0.009790105,0.10071805,0.00046009457,0.00005800152,0.0006332428,0.00017171487,0.29578182],"genre_scores_gemma":[0.99039793,0.0010327748,0.0005731214,0.0013304495,0.0001712457,0.0000151839395,0.00007355106,0.000023198338,0.006382742],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982343,0.00064371375,0.00010729402,0.00022395204,0.00038751203,0.0004032386],"domain_scores_gemma":[0.94006574,0.042719353,0.008665842,0.0016920882,0.0033172604,0.0035397978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002782838,0.00012562636,0.00045875023,0.0008043783,0.0013081571,0.0050677485,0.0006530384,0.0020709813,0.034445483],"category_scores_gemma":[0.036312453,0.00014027103,0.00023435602,0.0012239331,0.0014987163,0.004244109,0.0015162446,0.0021251917,0.0029565291],"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":[0.0007356239,0.00055227726,0.11592536,0.0009587845,0.00016242248,0.0014720786,0.0064472505,0.0023978807,0.0016752233,0.61101544,0.020746006,0.2379117],"study_design_scores_gemma":[0.00017127482,0.0004893831,0.17583382,0.00095577806,0.00016218914,0.001756828,0.017572667,0.009843317,0.004126489,0.60862887,0.18034956,0.00010989808],"about_ca_topic_score_codex":0.002578281,"about_ca_topic_score_gemma":0.0021341953,"teacher_disagreement_score":0.034445483,"about_ca_system_score_codex":0.000960773,"about_ca_system_score_gemma":0.0012780317,"threshold_uncertainty_score":0.11523163},"labels":[],"label_agreement":null},{"id":"W4413449066","doi":"10.1007/s10368-025-00679-3","title":"Does technological innovation influence productive capacities in the Asia–Pacific region? Evidence from a dynamic model approach","year":2025,"lang":"en","type":"article","venue":"International Economics and Economic Policy","topic":"Economic Growth and Productivity","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":"Wilfrid Laurier University","funders":"","keywords":"Public finance; Economics; Economic geography; Asia pacific; Econometrics; Macroeconomics; International trade","score_opus":0.03137510652897213,"score_gpt":0.2505929126690639,"score_spread":0.2192178061400918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413449066","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":[0.9862475,0.0010280147,0.0012456193,0.0013876314,0.000021693426,0.000012604741,0.0004209648,0.000027121,0.009608895],"genre_scores_gemma":[0.99798703,0.0007876763,0.00016020924,0.00005716627,0.000013478797,0.00000769948,0.0001538776,0.000005256902,0.0008276616],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995876,0.00014566828,0.000022929002,0.000079674595,0.000028098586,0.00013607528],"domain_scores_gemma":[0.9923839,0.0049575884,0.0014251544,0.0003627293,0.00036675818,0.0005039253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016982363,0.0004712878,0.00061920896,0.0011743746,0.0006388159,0.0028901924,0.00070739357,0.0010628621,0.0044691605],"category_scores_gemma":[0.006029992,0.00047883965,0.0012904918,0.0022614421,0.0010870933,0.0020621074,0.0012917325,0.0011654977,0.00041933302],"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":[0.0008287637,0.0006826963,0.7568766,0.0002406064,0.0013232307,0.0009543365,0.0012392215,0.1768126,0.0008920553,0.032054406,0.0024851128,0.025610346],"study_design_scores_gemma":[0.00019645572,0.00033358223,0.7834573,0.00021894326,0.0017509724,0.00025145913,0.005487754,0.16110598,0.0011984379,0.03837299,0.0075203385,0.000105847284],"about_ca_topic_score_codex":0.10050334,"about_ca_topic_score_gemma":0.054816034,"teacher_disagreement_score":0.10050334,"about_ca_system_score_codex":0.0015616844,"about_ca_system_score_gemma":0.0017779429,"threshold_uncertainty_score":0.19983667},"labels":[],"label_agreement":null},{"id":"W4413464994","doi":"10.5089/9798229018548.001","title":"Housing Booms and Productivity Growth","year":2025,"lang":"en","type":"article","venue":"IMF Working Paper","topic":"Economic Growth and Productivity","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":"Boom; Productivity; Economics; Natural resource economics; Environmental science; Macroeconomics; Environmental engineering","score_opus":0.023501454572037606,"score_gpt":0.2090270762763226,"score_spread":0.185525621704285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413464994","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":[0.985973,0.0012724961,0.00032637623,0.0016489837,0.000020209549,0.00001127046,0.002902845,0.000035847726,0.0078089535],"genre_scores_gemma":[0.9973441,0.00041458025,0.000043614546,0.000028728597,0.000014567083,0.0000018798452,0.0008526822,0.0000024688238,0.0012973375],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966216,0.000016788152,0.000013114387,0.00004553963,0.000066085966,0.00019627553],"domain_scores_gemma":[0.996944,0.0003831087,0.0011798352,0.00009344543,0.0005876317,0.0008117933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039202292,0.0002357208,0.00021648173,0.0015318312,0.00069698616,0.0020251232,0.00030212337,0.00045057343,0.004321285],"category_scores_gemma":[0.003794526,0.00012493444,0.00037519995,0.002450447,0.0009440729,0.0005733712,0.0009675357,0.00083437917,0.00042102629],"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":[0.00007915523,0.00004330851,0.98012984,0.000031917007,0.00005587002,0.00027684172,0.00050514354,0.0020263796,0.00034456994,0.0033080354,0.0019622655,0.011236733],"study_design_scores_gemma":[0.0000045419365,0.000016417072,0.99424064,0.000018693594,0.000015023546,0.000033164506,0.00065938174,0.0017232771,0.00015434163,0.00065598317,0.0024716666,0.0000069416146],"about_ca_topic_score_codex":0.7917991,"about_ca_topic_score_gemma":0.7863654,"teacher_disagreement_score":0.7917991,"about_ca_system_score_codex":0.008222072,"about_ca_system_score_gemma":0.005324977,"threshold_uncertainty_score":0.418854},"labels":[],"label_agreement":null},{"id":"W4413791036","doi":"10.1257/aer.20220540","title":"Moonshot: Public R&amp;D and Growth","year":2025,"lang":"en","type":"article","venue":"American Economic Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Chemistry","score_opus":0.03940008284749399,"score_gpt":0.25554018124407857,"score_spread":0.21614009839658457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413791036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9678551,0.00515491,0.0016189449,0.0040796236,0.00007887613,0.000021365811,0.0070168106,0.000099597775,0.014074714],"genre_scores_gemma":[0.9876852,0.0018988597,0.00020571658,0.00018986996,0.000120904,0.000017815473,0.004180379,0.000018052091,0.005683155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942183,0.00012819446,0.000033146865,0.00011074369,0.00016999486,0.00013613382],"domain_scores_gemma":[0.9906375,0.0026130837,0.004866548,0.00032775739,0.00078843185,0.0007668288],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0012417885,0.00024571127,0.000406745,0.0013394604,0.00029927376,0.0017056835,0.00044541754,0.00055363047,0.007644286],"category_scores_gemma":[0.0063539506,0.0001222494,0.0004065297,0.0025345206,0.00069623365,0.0010317542,0.0011232392,0.0009347497,0.0010822847],"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":[0.00053476065,0.00019265397,0.9079309,0.00031674517,0.00034242735,0.00046178384,0.00028932453,0.012287262,0.0007822729,0.011465981,0.019981511,0.045414455],"study_design_scores_gemma":[0.000069513466,0.00023936437,0.9566676,0.00015229092,0.00018153457,0.00012492595,0.0008852602,0.0074345423,0.0012823491,0.0035086724,0.029431356,0.0000225464],"about_ca_topic_score_codex":0.023594415,"about_ca_topic_score_gemma":0.020825299,"teacher_disagreement_score":0.9987582,"about_ca_system_score_codex":0.0012917552,"about_ca_system_score_gemma":0.0012046352,"threshold_uncertainty_score":0.04691416},"labels":[],"label_agreement":null},{"id":"W4413912351","doi":"10.5267/j.ijdns.2025.9.001","title":"E-commerce and GDP nexus: Evidence across economic and continental groups","year":2025,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nexus (standard); Economic geography; Economics; Business; Geography; Computer science","score_opus":0.05499510838692001,"score_gpt":0.32066316239001175,"score_spread":0.26566805400309174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413912351","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":[0.9747788,0.008458663,0.00059470045,0.0011706422,0.000061801125,0.000015377236,0.0034825865,0.000018316456,0.011419146],"genre_scores_gemma":[0.99272424,0.002828593,0.00018441938,0.00011178071,0.000030533483,0.000012415887,0.0035180156,0.000009206672,0.0005807719],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990766,0.00027542535,0.00010824661,0.00019614017,0.00019493459,0.00014859103],"domain_scores_gemma":[0.9900096,0.0037662194,0.003836105,0.0005483294,0.0011343918,0.00070530805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017193952,0.00037173202,0.00049747113,0.0047973725,0.0005178166,0.0018685298,0.0005189951,0.00041656836,0.0034071996],"category_scores_gemma":[0.007592054,0.00020105323,0.0009179421,0.011239902,0.0012405827,0.0018728399,0.0024673303,0.0007915368,0.0007194644],"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":[0.000068962574,0.000038007394,0.9850749,0.00013495176,0.00033450415,0.00012609622,0.00038431623,0.00064051664,0.000031370386,0.0015949684,0.00097504223,0.010596319],"study_design_scores_gemma":[0.000007567273,0.000046607176,0.98953307,0.0001982688,0.00021299558,0.0001136724,0.002533368,0.00084336195,0.00012386266,0.00071073585,0.0056638927,0.000012605057],"about_ca_topic_score_codex":0.016054008,"about_ca_topic_score_gemma":0.016537597,"teacher_disagreement_score":0.016054008,"about_ca_system_score_codex":0.0004971412,"about_ca_system_score_gemma":0.00053921615,"threshold_uncertainty_score":0.03192115},"labels":[],"label_agreement":null},{"id":"W4414068604","doi":"10.1007/s10614-025-11069-x","title":"Robust Quarterly Recession Forecasts of the U. S. Economy","year":2025,"lang":"en","type":"article","venue":"Computational Economics","topic":"Economic Growth and Productivity","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":"Categorical variable; Recession; Logit; Consensus forecast; Quarter (Canadian coin); Business cycle; Logistic regression; Forecast error","score_opus":0.030255155705103665,"score_gpt":0.20736246742351122,"score_spread":0.17710731171840755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414068604","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":[0.89002997,0.00067459076,0.0721335,0.0022193168,0.00016082118,0.00004527198,0.025068056,0.0014563631,0.00821215],"genre_scores_gemma":[0.9875707,0.00013973766,0.004694173,0.000043134463,0.000026223324,0.000013320191,0.006310706,0.00002891829,0.0011731437],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971455,0.000116565985,0.000018986131,0.00006392395,0.00006448168,0.000021542415],"domain_scores_gemma":[0.9983929,0.000841369,0.00025279325,0.00012680706,0.0003311415,0.00005504265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014465539,0.00027297655,0.00032735453,0.0006878846,0.00010590911,0.0006004337,0.00025026547,0.00042095446,0.0023997654],"category_scores_gemma":[0.009078022,0.00020751872,0.0002099045,0.00059221586,0.000099861536,0.00053005916,0.000285629,0.00052134425,0.0008253956],"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":[0.00033187814,0.000056422323,0.06586024,0.000058740025,0.00010316808,0.000079969745,0.000055676977,0.8596276,0.00085012754,0.0060830927,0.01658514,0.050307978],"study_design_scores_gemma":[0.00002040962,0.000028505976,0.024873594,0.000020923371,0.00001476403,0.000017009916,0.000024294668,0.9683575,0.00040613208,0.0041580945,0.0020623053,0.000016535892],"about_ca_topic_score_codex":0.019992981,"about_ca_topic_score_gemma":0.012653566,"teacher_disagreement_score":0.019992981,"about_ca_system_score_codex":0.0004181269,"about_ca_system_score_gemma":0.00036391328,"threshold_uncertainty_score":0.0397532},"labels":[],"label_agreement":null},{"id":"W4414106987","doi":"10.1016/j.tncr.2025.200148","title":"Digitalization's divergent impact on FDI inflows: A comparative analysis between advanced and developing countries","year":2025,"lang":"en","type":"article","venue":"Transnational Corporation Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Developing country; Foreign direct investment; Endogeneity; Openness to experience; Quality (philosophy); Comparative advantage; Control (management)","score_opus":0.056520130089929024,"score_gpt":0.3049795373888643,"score_spread":0.2484594072989353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414106987","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":[0.98020524,0.009113881,0.00032106112,0.00038546626,0.000015082072,0.000009435754,0.0006966778,0.0000083091745,0.00924492],"genre_scores_gemma":[0.9948167,0.004042283,0.00010316801,0.00003321434,0.00001649791,0.0000034167265,0.00039252284,0.0000020400612,0.0005901222],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996846,0.000098907665,0.000029087923,0.000042710308,0.00005428528,0.000090463596],"domain_scores_gemma":[0.9976113,0.0007168183,0.00085051614,0.00010240952,0.00049729465,0.00022163385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091253367,0.0001465844,0.00024788218,0.0023082704,0.00018332987,0.0009860359,0.00010291559,0.0001335436,0.0016124792],"category_scores_gemma":[0.0025144445,0.00006554778,0.0004296344,0.003853172,0.00035225117,0.00050480483,0.00064687646,0.00023121703,0.00015578882],"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":[0.00019130606,0.000035085326,0.95791584,0.00023769245,0.00018559233,0.0004095505,0.0004696657,0.0018481177,0.00036168893,0.003307478,0.00092585915,0.034112126],"study_design_scores_gemma":[0.0000074066734,0.00006108578,0.9927342,0.000089172274,0.00014746789,0.00015184506,0.0009270204,0.00056478597,0.000229138,0.00026721304,0.0048152846,0.0000054524035],"about_ca_topic_score_codex":0.011646384,"about_ca_topic_score_gemma":0.011970867,"teacher_disagreement_score":0.011646384,"about_ca_system_score_codex":0.0004275801,"about_ca_system_score_gemma":0.00069435214,"threshold_uncertainty_score":0.02315718},"labels":[],"label_agreement":null},{"id":"W4414270253","doi":"10.2139/ssrn.5468526","title":"&lt;p&gt;Technology Incubators: Facilitating Technology Transfer or Creating Regional Wealth?&lt;/p&gt;","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"York University","funders":"","keywords":"Technology transfer; Revenue; Knowledge transfer; Investment (military); Value (mathematics); Entrepreneurship; Knowledge economy; Innovation management; Business model","score_opus":0.013991007089062231,"score_gpt":0.2257582943687559,"score_spread":0.21176728727969368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414270253","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":[0.010819882,0.008987937,0.008152813,0.13714652,0.0032441542,0.00009507236,0.001376282,0.0007624966,0.82941484],"genre_scores_gemma":[0.32869843,0.013943486,0.0056093535,0.010680728,0.0011272255,0.0001626095,0.00060962606,0.0006131425,0.63855535],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9995067,0.00016109686,0.000018698232,0.00008835541,0.00012655399,0.000098586854],"domain_scores_gemma":[0.99817836,0.00076297374,0.00024704228,0.00013387426,0.00023999826,0.0004377549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012753038,0.0003199757,0.0003067176,0.00068319467,0.0014697942,0.008335254,0.00055900426,0.004021137,0.07444655],"category_scores_gemma":[0.004874291,0.0002811524,0.00023621395,0.0014350552,0.0018539318,0.006548388,0.0016417345,0.0014101772,0.014635317],"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":[0.00012700273,0.000031615316,0.0012484189,0.00015376904,0.000009901992,0.00028927857,0.00025364017,0.0004761892,0.00045035072,0.32234004,0.57109886,0.10352092],"study_design_scores_gemma":[0.00008965678,0.00005802953,0.0030380567,0.000307987,0.00003258616,0.00017250214,0.0014656446,0.0028784485,0.0033072827,0.17111419,0.81748974,0.00004576347],"about_ca_topic_score_codex":0.010711215,"about_ca_topic_score_gemma":0.02245374,"teacher_disagreement_score":0.07444655,"about_ca_system_score_codex":0.0024198294,"about_ca_system_score_gemma":0.0029073684,"threshold_uncertainty_score":0.24904853},"labels":[],"label_agreement":null},{"id":"W4414606511","doi":"10.1080/07350015.2025.2566352","title":"Partial Effects in Time-Varying Linear Transformation Panel Models with Endogeneity","year":2025,"lang":"en","type":"article","venue":"Journal of Business and Economic Statistics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Endogeneity; Linear model; Transformation (genetics); Panel data; Work (physics)","score_opus":0.031760175375689446,"score_gpt":0.21742633438674944,"score_spread":0.18566615901105998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414606511","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":[0.011303758,0.00029783422,0.98614687,0.0003262505,0.00005447619,0.000064903965,0.0004998828,0.00030608496,0.0009999425],"genre_scores_gemma":[0.647548,0.0023789923,0.33154857,0.0007255482,0.00046906198,0.0013079211,0.003524339,0.00044593448,0.012051629],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9902445,0.006845858,0.000348168,0.0014132826,0.000793603,0.00035455078],"domain_scores_gemma":[0.9470903,0.041044906,0.003946143,0.0065833284,0.0010898925,0.0002454249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016328046,0.0009539947,0.0017250074,0.001259191,0.0006042062,0.0019452976,0.002198325,0.0013559756,0.0048165293],"category_scores_gemma":[0.06515174,0.0009964211,0.0020425452,0.0026036445,0.0021593485,0.003198984,0.0023933004,0.003063871,0.0008886529],"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":[0.00017447093,0.0001386533,0.036634594,0.00044558835,0.0015590586,0.00057800865,0.00079161517,0.29191977,0.0012142968,0.49591362,0.005926177,0.16470419],"study_design_scores_gemma":[0.00008115983,0.00014862546,0.013751808,0.00013981658,0.00042945342,0.00019794544,0.0002349516,0.48790807,0.0018394061,0.47598884,0.019160846,0.00011919976],"about_ca_topic_score_codex":0.0066808667,"about_ca_topic_score_gemma":0.007300901,"teacher_disagreement_score":0.016328046,"about_ca_system_score_codex":0.0009979103,"about_ca_system_score_gemma":0.001737447,"threshold_uncertainty_score":0.08635205},"labels":[],"label_agreement":null},{"id":"W4414714985","doi":"10.47743/rebs-2025-1-0003","title":"THE INFLUENCE OF CHANGES IN EMPLOYMENT STRUCTURE ON INCOME INEQUALITY ON THE SAMPLE OF 7 OECD COUNTRIES","year":2025,"lang":"en","type":"article","venue":"Review of Economic and Business Studies","topic":"Economic Growth and Productivity","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":"Inequality; Economic inequality; Sample (material); Liberalization; Income distribution; Technological change","score_opus":0.0465962393161749,"score_gpt":0.2861507311277112,"score_spread":0.23955449181153632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414714985","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":[0.9969317,0.0005609716,0.000058706763,0.000078323814,0.000007848581,0.0000053483327,0.0011144895,0.000003002255,0.001239592],"genre_scores_gemma":[0.99753076,0.00025479734,0.000020351572,0.000016154414,0.000016065598,0.000007493318,0.0018688821,0.0000031085003,0.00028240558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989385,0.00040960024,0.000051685147,0.00014294809,0.00016640677,0.00029095795],"domain_scores_gemma":[0.9977145,0.000844382,0.00069486647,0.00016544522,0.0002921648,0.00028878028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011007799,0.0002035554,0.0003442724,0.0022290715,0.0004510442,0.0009842996,0.00029303125,0.0002544658,0.002286316],"category_scores_gemma":[0.0031434381,0.00009171911,0.0004467881,0.0027063205,0.00043573976,0.00033330865,0.0009618102,0.00040539555,0.00038832624],"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":[0.00014399657,0.000035146015,0.99514645,0.000015080719,0.00013769185,0.00016313448,0.00025041797,0.0002130158,0.00006249593,0.0001946242,0.0005547302,0.003083275],"study_design_scores_gemma":[0.00000316886,0.000023911953,0.998588,0.0000078445,0.000023260158,0.00006749473,0.0005986044,0.00016341898,0.000028382556,0.000043555312,0.00045021836,0.0000020682182],"about_ca_topic_score_codex":0.020284113,"about_ca_topic_score_gemma":0.018744549,"teacher_disagreement_score":0.020284113,"about_ca_system_score_codex":0.00042501994,"about_ca_system_score_gemma":0.00032445596,"threshold_uncertainty_score":0.04033208},"labels":[],"label_agreement":null},{"id":"W4415214310","doi":"10.1080/00220388.2025.2563846","title":"Quantifying Common Trend of Gender Agricultural Productivity Gap in Sub-Saharan Africa: A Systematic Review and Critical Appraisals","year":2025,"lang":"en","type":"review","venue":"The Journal of Development Studies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Agricultural productivity; Productivity; Agriculture; Work (physics)","score_opus":0.24189475811107633,"score_gpt":0.35684223999088993,"score_spread":0.1149474818798136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415214310","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019374236,0.99235606,0.0011741009,0.0011629809,0.00039796118,0.0017635464,0.0007605795,0.000019211073,0.0004281235],"genre_scores_gemma":[0.044417497,0.94281393,0.0044306694,0.0015873474,0.00040383986,0.0053497157,0.0007170842,0.000026159478,0.00025365845],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9517791,0.01751264,0.018927785,0.0026124546,0.008306573,0.00086140574],"domain_scores_gemma":[0.82925177,0.12401816,0.025951201,0.0032842779,0.016756885,0.0007376737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.056605022,0.0021177037,0.008208354,0.022560183,0.0012274144,0.005061792,0.0024796075,0.002339656,0.0036283678],"category_scores_gemma":[0.18904999,0.0013278257,0.011833422,0.013161467,0.0017052955,0.004307851,0.0029984356,0.001629796,0.00032710837],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024048955,0.000018211775,0.002017254,0.930207,0.015521334,0.00017867678,0.0005544592,0.00017068429,0.00022814,0.0007811486,0.0015536365,0.048528936],"study_design_scores_gemma":[0.00016327955,0.00022054403,0.0048948033,0.88113314,0.088388234,0.0003503802,0.0007582086,0.00017767372,0.00038786087,0.0015384718,0.021929076,0.000058269663],"about_ca_topic_score_codex":0.004081387,"about_ca_topic_score_gemma":0.011988284,"teacher_disagreement_score":0.056605022,"about_ca_system_score_codex":0.005780556,"about_ca_system_score_gemma":0.023917554,"threshold_uncertainty_score":0.29935956},"labels":[],"label_agreement":null},{"id":"W4415330700","doi":"10.1016/j.rinam.2025.100647","title":"Fractional logistic growth with memory effects: A tool for industry-oriented modeling","year":2025,"lang":"en","type":"article","venue":"Results in Applied Mathematics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Logistic function; Flexibility (engineering); Novelty; Extension (predicate logic); Population; Population model; System dynamics; Logistic regression","score_opus":0.03298336053471132,"score_gpt":0.24478902661176413,"score_spread":0.2118056660770528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415330700","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":[0.016576855,0.0010323888,0.9722233,0.0006246334,0.00009596399,0.000029354744,0.00011763911,0.00012150784,0.009178333],"genre_scores_gemma":[0.81281537,0.0030034524,0.166521,0.00029937824,0.0002949595,0.000290161,0.00023250186,0.00014396156,0.016399339],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997956,0.000087495515,0.00001179438,0.000031452757,0.000048671565,0.000025019352],"domain_scores_gemma":[0.99944025,0.00028853008,0.00011931528,0.000044805187,0.00006100785,0.000046075875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007542019,0.0008318654,0.00061435683,0.0011586755,0.00047733102,0.0013625654,0.0010880693,0.0013349957,0.0018723204],"category_scores_gemma":[0.0023794838,0.00032697557,0.0009692129,0.0009585402,0.00094328617,0.0012237867,0.0016599906,0.0011838028,0.00025238277],"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":[0.000017031569,0.00003233624,0.0010244752,0.000094868716,0.000037504433,0.0002634335,0.00017422954,0.51748925,0.0018847843,0.46366468,0.001357707,0.013959755],"study_design_scores_gemma":[0.0000024192586,0.0000075515545,0.00006895524,0.000012039256,0.00000644418,0.000031124553,0.000018146498,0.9346139,0.00015818732,0.062671915,0.0024024758,0.000006840901],"about_ca_topic_score_codex":0.0040832735,"about_ca_topic_score_gemma":0.0019075804,"teacher_disagreement_score":0.0040832735,"about_ca_system_score_codex":0.00080508227,"about_ca_system_score_gemma":0.0009415694,"threshold_uncertainty_score":0.008119047},"labels":[],"label_agreement":null},{"id":"W4415369724","doi":"10.2139/ssrn.5629462","title":"Technology and Labor Markets: Past, Present, and Future; Evidence from Two Centuries of Innovation","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"Kellogg's (Canada)","funders":"","keywords":"Census; Construct (python library); Download; Developing country; Technological change; Labor demand","score_opus":0.009594366931215417,"score_gpt":0.22279739669840046,"score_spread":0.21320302976718503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415369724","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":[0.93273926,0.033602312,0.00054511277,0.0040797307,0.00006737207,0.000020078676,0.0007690813,0.00000749927,0.028169613],"genre_scores_gemma":[0.98758113,0.009121018,0.0001891897,0.0003119291,0.00011625699,0.000008469164,0.00021130347,0.0000044500234,0.0024562422],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992725,0.00017503955,0.000056003122,0.0001143966,0.0002041052,0.00017798791],"domain_scores_gemma":[0.9784864,0.013774019,0.0046350234,0.00094481144,0.0010577003,0.0011020134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023340564,0.00022059522,0.00035598356,0.0028482568,0.0010916231,0.0029678012,0.00069564936,0.0017880413,0.0076397946],"category_scores_gemma":[0.013076507,0.0003036275,0.0003473081,0.0038914997,0.003552202,0.0045756707,0.0021007594,0.0015428372,0.0005858802],"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":[0.0033635632,0.0013703968,0.66748625,0.0014444144,0.00035919464,0.001687469,0.020982118,0.001803532,0.0012022372,0.093861036,0.007442019,0.19899774],"study_design_scores_gemma":[0.00014156073,0.0003698325,0.916095,0.0011066723,0.00022779615,0.0006503335,0.013236376,0.0010014641,0.00075328065,0.018373165,0.047974747,0.00006975825],"about_ca_topic_score_codex":0.0070935534,"about_ca_topic_score_gemma":0.014609139,"teacher_disagreement_score":0.0076397946,"about_ca_system_score_codex":0.0011240286,"about_ca_system_score_gemma":0.0009901507,"threshold_uncertainty_score":0.025557637},"labels":[],"label_agreement":null},{"id":"W4415469779","doi":"10.54254/2753-8818/2025.dl27965","title":"An Empirical Analysis Based on Per Capita GDP and Global Temperature Changes","year":2025,"lang":"","type":"article","venue":"Theoretical and Natural Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Polynomial regression; Linear regression; Global temperature; Linear model; Polynomial; Regression analysis; Distributed lag; Per capita; Global warming; Regression","score_opus":0.008086276534007994,"score_gpt":0.25555376267232266,"score_spread":0.24746748613831465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415469779","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":[0.96019334,0.0021083734,0.009940662,0.0011881915,0.00010825,0.000038482023,0.004851206,0.00014049397,0.021430958],"genre_scores_gemma":[0.99384016,0.0010692375,0.00085443165,0.000067733934,0.000047046873,0.000025652842,0.0025152138,0.000033763947,0.0015468166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989135,0.0004003797,0.00006180664,0.00022655673,0.00027520713,0.0001225298],"domain_scores_gemma":[0.99036473,0.005826991,0.0021150303,0.0006123788,0.00083003304,0.00025073398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015693232,0.0004387623,0.00042682895,0.0025863159,0.00023809883,0.0011764881,0.00042300439,0.00036027547,0.004879535],"category_scores_gemma":[0.012666851,0.00016789671,0.0008266085,0.0075820293,0.00084175274,0.0016039335,0.0009298743,0.00077795924,0.0010603397],"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":[0.00009402724,0.00006968239,0.95855445,0.00014242888,0.0005228961,0.00032762112,0.00028689942,0.011712229,0.0003159028,0.00788918,0.0025107046,0.017574063],"study_design_scores_gemma":[0.000009821825,0.00009110559,0.9501941,0.0001009621,0.00019442254,0.0005718202,0.0009461582,0.032248877,0.0006381835,0.0038048106,0.011166574,0.000033220975],"about_ca_topic_score_codex":0.0066561755,"about_ca_topic_score_gemma":0.0052198977,"teacher_disagreement_score":0.0066561755,"about_ca_system_score_codex":0.00068439863,"about_ca_system_score_gemma":0.00060212106,"threshold_uncertainty_score":0.016323686},"labels":[],"label_agreement":null},{"id":"W4415479705","doi":"10.36948/ijfmr.2025.v07i05.57724","title":"Analysis on Norway’s economy and how it became the EV capital of the world","year":2025,"lang":"","type":"article","venue":"International Journal For Multidisciplinary Research","topic":"Economic Growth and Productivity","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":"Mindset; Quarter (Canadian coin); Revenue; Capital (architecture); Tax revenue; Work (physics)","score_opus":0.08000938318425128,"score_gpt":0.37368901044325775,"score_spread":0.2936796272590065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415479705","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":[0.5897089,0.011466214,0.0011790465,0.023932952,0.0009411471,0.000026590704,0.0036885089,0.00002124102,0.36903542],"genre_scores_gemma":[0.96904445,0.0063865893,0.00037191517,0.000865399,0.00010333372,0.000011836793,0.0011027278,0.000025103125,0.022088593],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995683,0.00006357872,0.000019742894,0.000056022636,0.000103199236,0.00018914745],"domain_scores_gemma":[0.9996599,0.00008397267,0.00008357449,0.00001167096,0.0000857123,0.00007520073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000518623,0.00017776786,0.00014762631,0.00073001796,0.0011581513,0.003527035,0.0002877827,0.00050466176,0.0046462915],"category_scores_gemma":[0.0009668404,0.00009021989,0.00026238436,0.0014200481,0.0011354386,0.0021711437,0.0008208221,0.00071151607,0.00034171747],"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":[0.00019525428,0.000081312784,0.086345755,0.00038351075,0.000044753968,0.004408446,0.014668284,0.009454698,0.00085093867,0.7801169,0.053777516,0.049672604],"study_design_scores_gemma":[0.000022638029,0.000095721574,0.24321596,0.0015594631,0.00004475995,0.00073358166,0.06406225,0.0035491358,0.0008775194,0.04700135,0.63873637,0.00010122157],"about_ca_topic_score_codex":0.2822417,"about_ca_topic_score_gemma":0.2872876,"teacher_disagreement_score":0.2822417,"about_ca_system_score_codex":0.007385078,"about_ca_system_score_gemma":0.0055003436,"threshold_uncertainty_score":0.56119776},"labels":[],"label_agreement":null},{"id":"W4415538551","doi":"10.3934/qfe.2025028","title":"Does policy finance promote domestic industrial gradient relocation? Evidence from China","year":2025,"lang":"","type":"article","venue":"Quantitative Finance and Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"China; Industrial policy; Panel data; Manufacturing; Access to finance; Industrial production","score_opus":0.05006246238141959,"score_gpt":0.2812337211537035,"score_spread":0.2311712587722839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415538551","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":[0.98661137,0.001798387,0.00044690896,0.0022878454,0.000024620085,0.000020669531,0.0004804891,0.000027082457,0.008302666],"genre_scores_gemma":[0.99854326,0.0005653653,0.00006551622,0.00013374336,0.000014139194,0.000003925938,0.00016870296,0.0000019236136,0.0005033823],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949217,0.00011058969,0.000032221793,0.00008167268,0.00008795387,0.0001954657],"domain_scores_gemma":[0.9978892,0.00034889788,0.0009896122,0.00015073625,0.00030126597,0.00032027237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009060429,0.00019999707,0.0002851439,0.0010119746,0.00060397986,0.000987116,0.00036749686,0.00032635612,0.004075271],"category_scores_gemma":[0.0028684689,0.00012244938,0.0003877834,0.0012613505,0.00086328905,0.0007686844,0.0013295067,0.00041838846,0.00021392346],"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":[0.00022085747,0.00013335444,0.9470769,0.00021944723,0.00015330555,0.00060684833,0.0009196192,0.0017653953,0.00047482195,0.007618246,0.0023086818,0.03850246],"study_design_scores_gemma":[0.000030546224,0.00006207999,0.988977,0.00006617121,0.000075240045,0.000051803087,0.0015972713,0.0009888508,0.00038111128,0.00082440797,0.0069361394,0.0000093533545],"about_ca_topic_score_codex":0.062402572,"about_ca_topic_score_gemma":0.06790371,"teacher_disagreement_score":0.062402572,"about_ca_system_score_codex":0.0015542894,"about_ca_system_score_gemma":0.002227636,"threshold_uncertainty_score":0.12407869},"labels":[],"label_agreement":null},{"id":"W4415817691","doi":"10.1108/jeas-05-2025-0295","title":"Revisiting growth dynamics in G7: an econometric critique of AI, education and industrialization interactions","year":2025,"lang":"en","type":"article","venue":"Journal of economic and administrative sciences.","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Openness to experience; Panel data; Robustness (evolution); Corporate governance; Government spending; Estimator; Industrialisation; Value (mathematics); Quantile regression; Investment (military)","score_opus":0.06051844897594719,"score_gpt":0.3443744041019494,"score_spread":0.28385595512600226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415817691","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":[0.79401785,0.022708725,0.06658836,0.044972222,0.00051227905,0.00023809753,0.004845036,0.00062541733,0.065492],"genre_scores_gemma":[0.98869085,0.002818179,0.0032034907,0.0013243012,0.00021723592,0.00006583186,0.0012709885,0.00005634034,0.0023527353],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976987,0.0011277306,0.0001472968,0.00041252736,0.0003926542,0.00022121466],"domain_scores_gemma":[0.98371625,0.012161309,0.0021709558,0.0007895148,0.00093656353,0.00022532478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063924445,0.00071784435,0.0008894505,0.0024789907,0.000674373,0.00296859,0.0013738935,0.00071542436,0.003356864],"category_scores_gemma":[0.015108518,0.00023746879,0.0015016414,0.0044704466,0.002513219,0.0017030704,0.002517787,0.0017511985,0.0006395588],"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":[0.00018664902,0.00011074071,0.5168984,0.0008553821,0.0014768485,0.0014624209,0.002594717,0.051320676,0.00063152733,0.26679462,0.01697901,0.14068902],"study_design_scores_gemma":[0.00009035853,0.0002549534,0.37472174,0.0012821256,0.0010117755,0.0004232171,0.009695749,0.30147505,0.0020875027,0.21244968,0.096378334,0.00012943496],"about_ca_topic_score_codex":0.062156733,"about_ca_topic_score_gemma":0.028659452,"teacher_disagreement_score":0.062156733,"about_ca_system_score_codex":0.0021084535,"about_ca_system_score_gemma":0.0029498404,"threshold_uncertainty_score":0.12358987},"labels":[],"label_agreement":null},{"id":"W4415907591","doi":"10.1016/j.euroecorev.2025.105182","title":"Sectoral reallocations with an aging population","year":2025,"lang":"en","type":"article","venue":"European Economic Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Western University","funders":"Western University","keywords":"Unemployment; Shock (circulatory); Population; Wage; Population ageing; Distortion (music); Resizing; Rest (music)","score_opus":0.036926846246536804,"score_gpt":0.2518855943924337,"score_spread":0.21495874814589688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415907591","genre_codex":"review","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":[0.29145363,0.501071,0.00902854,0.12072166,0.0056481464,0.000037388367,0.008234208,0.00020187939,0.06360355],"genre_scores_gemma":[0.75914097,0.22358428,0.0011026689,0.0031338537,0.002807612,0.000023816161,0.002101867,0.000040531242,0.00806441],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996151,0.00013166848,0.00003857896,0.000048610596,0.000060318274,0.000105770036],"domain_scores_gemma":[0.9981804,0.00045424147,0.0006184595,0.00010335674,0.00042671367,0.00021693269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014667733,0.00028078648,0.00032277667,0.0012942558,0.00016440792,0.0016832711,0.00033890802,0.0010382205,0.005908626],"category_scores_gemma":[0.003927259,0.00012177913,0.00036611265,0.004131986,0.00061461574,0.0024518822,0.00061326876,0.00087275624,0.00092354266],"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":[0.00067391153,0.00017471309,0.06463828,0.0015206889,0.00042774048,0.00044969658,0.0007047031,0.023712166,0.00065456674,0.35037786,0.13746125,0.41920435],"study_design_scores_gemma":[0.00012897188,0.00017876623,0.21338831,0.0016488049,0.0003040735,0.0011273711,0.0025943955,0.0074574826,0.000866607,0.24824193,0.5240119,0.00005142275],"about_ca_topic_score_codex":0.003672879,"about_ca_topic_score_gemma":0.003604798,"teacher_disagreement_score":0.005908626,"about_ca_system_score_codex":0.0016929714,"about_ca_system_score_gemma":0.0015909539,"threshold_uncertainty_score":0.01976639},"labels":[],"label_agreement":null},{"id":"W4416041766","doi":"10.55016/ojs/sppp.v17i1.79184","title":"Fiscal and Economic Policy Trends: Productivity and Labour Incomes","year":2024,"lang":"","type":"article","venue":"The School of Public Policy Publications","topic":"Economic Growth and Productivity","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 Calgary","funders":"","keywords":"Productivity; Fiscal policy; Economic analysis; Government (linguistics); Unemployment; Production (economics); Wage","score_opus":0.03610826218688946,"score_gpt":0.2759811837528663,"score_spread":0.23987292156597684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416041766","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32937464,0.061541557,0.0035457136,0.35209575,0.005966315,0.000027629296,0.025417572,0.00035051888,0.22168034],"genre_scores_gemma":[0.8817487,0.04662585,0.0005727902,0.0032801274,0.0043332963,0.000031153395,0.005757448,0.0001020171,0.057548653],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994779,0.00012087754,0.000039370418,0.00006495661,0.00017179867,0.00012508256],"domain_scores_gemma":[0.99429756,0.0019399122,0.0016449665,0.00017980582,0.0013885912,0.0005491694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017422937,0.00027716128,0.00035370994,0.002753369,0.00066984346,0.0055322754,0.00034711277,0.0012738517,0.012825463],"category_scores_gemma":[0.011805714,0.00018635135,0.00034464416,0.010548951,0.0006400656,0.0039805435,0.0008743306,0.0024669303,0.0027002478],"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":[0.00043399748,0.00028263306,0.29870987,0.0006405924,0.00018088601,0.00020916454,0.0018671813,0.0042320853,0.00032047418,0.2102578,0.29198337,0.19088194],"study_design_scores_gemma":[0.00005137293,0.00014112979,0.559656,0.00095904304,0.00015848006,0.00022972099,0.005064069,0.004019354,0.00069548516,0.10596067,0.32300624,0.000058447073],"about_ca_topic_score_codex":0.019525176,"about_ca_topic_score_gemma":0.028415233,"teacher_disagreement_score":0.019525176,"about_ca_system_score_codex":0.0027182125,"about_ca_system_score_gemma":0.0034018818,"threshold_uncertainty_score":0.04290545},"labels":[],"label_agreement":null},{"id":"W4416090811","doi":"10.1007/978-1-349-58802-2_905","title":"Kuznets swings","year":2008,"lang":"en","type":"book-chapter","venue":"The New Palgrave Dictionary of Economics","topic":"Economic Growth and Productivity","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":"Period (music); Business cycle; Smoothing; First world war; Real gross domestic product","score_opus":0.03835922622900172,"score_gpt":0.18987865759256675,"score_spread":0.15151943136356505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416090811","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013056391,0.017551992,0.008250827,0.0048302226,0.0019030519,0.00009995733,0.00087350083,0.0002844664,0.95314956],"genre_scores_gemma":[0.45888495,0.034260828,0.0053484985,0.0033097072,0.0022179377,0.0002768673,0.0019246325,0.0004979322,0.4932786],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992367,0.00012587711,0.00007315703,0.0001644643,0.000246692,0.0001531024],"domain_scores_gemma":[0.99952126,0.0001301312,0.00009244622,0.00006424011,0.00012542447,0.00006640901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005942754,0.0009206197,0.0005804454,0.0033855913,0.0024927645,0.0046810247,0.00057405635,0.0013054706,0.026922833],"category_scores_gemma":[0.0028509449,0.00027389085,0.0005288722,0.003990339,0.0036167763,0.0054889102,0.0029546,0.0024197935,0.009367021],"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":[0.000052814667,0.000024396428,0.0009413272,0.00014871889,0.000011602762,0.00025784984,0.0015857077,0.00048213277,0.00022279003,0.820014,0.085688114,0.0905704],"study_design_scores_gemma":[0.000010214653,0.0000214667,0.0016248939,0.00024477392,0.000008306316,0.0006385751,0.0006412371,0.000452543,0.00023798767,0.24692428,0.7491744,0.000021309072],"about_ca_topic_score_codex":0.0030111375,"about_ca_topic_score_gemma":0.002632599,"teacher_disagreement_score":0.026922833,"about_ca_system_score_codex":0.003160674,"about_ca_system_score_gemma":0.0013019453,"threshold_uncertainty_score":0.09006584},"labels":[],"label_agreement":null},{"id":"W4416565885","doi":"10.1007/978-3-032-10219-5","title":"Meta-Analysis of Finance and Growth in Asia","year":2025,"lang":"en","type":"book","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universität Leipzig; Japan Society for the Promotion of Science; Cape Breton University","keywords":"","score_opus":0.06905568293048589,"score_gpt":0.22278542729839568,"score_spread":0.1537297443679098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416565885","genre_codex":"review","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":[0.023656012,0.8289654,0.08814622,0.008881477,0.0018479967,0.000113897004,0.03394037,0.0014075076,0.0130410325],"genre_scores_gemma":[0.50291336,0.33978692,0.08699857,0.0025872802,0.005002041,0.0008455091,0.0338434,0.0018885797,0.026134403],"study_design_codex":"design_other","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99440336,0.004325573,0.00037440195,0.00043563402,0.00037008448,0.00009092199],"domain_scores_gemma":[0.9655474,0.028937045,0.0012068978,0.0030634778,0.0009941977,0.0002510398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013109872,0.0012727827,0.003151893,0.0046145893,0.00024939916,0.0023630115,0.0013646354,0.0008878291,0.0134211695],"category_scores_gemma":[0.034905776,0.0008828276,0.0060807634,0.007112217,0.000381049,0.0016098223,0.0014398223,0.0014430487,0.001740161],"study_design_candidate":"meta_analysis","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":[0.0021622803,0.00009904253,0.054973673,0.019668313,0.23471901,0.0005021355,0.00026482795,0.04835062,0.0005399247,0.033976138,0.118957534,0.48578662],"study_design_scores_gemma":[0.0009658536,0.00059037085,0.07538757,0.016710527,0.2525442,0.0014846572,0.0004980798,0.09015621,0.0021125383,0.30099168,0.2582831,0.0002752306],"about_ca_topic_score_codex":0.006799666,"about_ca_topic_score_gemma":0.010266441,"teacher_disagreement_score":0.0134211695,"about_ca_system_score_codex":0.0009941004,"about_ca_system_score_gemma":0.00194725,"threshold_uncertainty_score":0.06933248},"labels":[],"label_agreement":null},{"id":"W4417420130","doi":"10.1016/j.jeca.2025.e00447","title":"Gone with the cycle: The asymmetric impact of business cycle on growth","year":2025,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Business cycle; Recession; Pace; Volatility clustering; Position (finance); Convergence (economics); Asymmetry","score_opus":0.013219278013374143,"score_gpt":0.22414983983300654,"score_spread":0.2109305618196324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417420130","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":[0.87817806,0.009400419,0.010128503,0.02571159,0.0004922382,0.000028996263,0.0009645748,0.00007887445,0.07501684],"genre_scores_gemma":[0.99602014,0.0014619345,0.00028424073,0.00051291176,0.0002799546,0.0000037299471,0.000087493834,0.000033450677,0.001316078],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995307,0.00021099325,0.000025556432,0.000056728848,0.00009068685,0.000085497304],"domain_scores_gemma":[0.9902936,0.0065146578,0.0015153497,0.0005911426,0.00053343794,0.0005517438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016771173,0.00023661382,0.0005664625,0.00085079187,0.00055117137,0.0042124526,0.00046183803,0.0013602938,0.0089045465],"category_scores_gemma":[0.019214723,0.00023740518,0.000420864,0.0013396956,0.0011759845,0.0058168536,0.0013254945,0.001959216,0.00045704268],"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":[0.0013622402,0.0003073944,0.13547133,0.000328027,0.0003371445,0.0015640147,0.0016645548,0.025794212,0.0026504942,0.6816375,0.021290421,0.1275925],"study_design_scores_gemma":[0.0001395376,0.00013582717,0.11662694,0.00027754626,0.00037744525,0.0005970961,0.0020358383,0.04553513,0.0009971329,0.8164019,0.016757337,0.000118333024],"about_ca_topic_score_codex":0.003953383,"about_ca_topic_score_gemma":0.0031813355,"teacher_disagreement_score":0.0089045465,"about_ca_system_score_codex":0.0007765508,"about_ca_system_score_gemma":0.0008410965,"threshold_uncertainty_score":0.029788673},"labels":[],"label_agreement":null},{"id":"W4417507173","doi":"10.1016/j.jmacro.2025.103737","title":"Human and physical capital: Welfare and income effects of government spending","year":2025,"lang":"en","type":"article","venue":"Journal of Macroeconomics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Government spending; Welfare; Government (linguistics); Government expenditure; Public spending","score_opus":0.007393321910010917,"score_gpt":0.21603750341447775,"score_spread":0.20864418150446684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417507173","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":[0.955165,0.0028961438,0.0047975695,0.006679977,0.00007978615,0.00004824235,0.0023326776,0.000089322435,0.027911246],"genre_scores_gemma":[0.9946407,0.0010787302,0.0002141879,0.00016642202,0.000029674564,0.000012091528,0.00028704345,0.000006927858,0.0035642623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934775,0.0002217012,0.000016024946,0.000059366903,0.000054505726,0.0003005582],"domain_scores_gemma":[0.99756277,0.0011943401,0.0006493808,0.00013362058,0.00016768328,0.00029221398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008933984,0.00048569235,0.00051884743,0.00061483454,0.00032866697,0.00209423,0.00037987586,0.0009998531,0.0072147767],"category_scores_gemma":[0.0030268305,0.00023840663,0.000757734,0.0011299589,0.0013327047,0.0012998118,0.0011806019,0.001198359,0.00058277446],"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":[0.0015946466,0.0009966673,0.43554866,0.00051580294,0.0008671245,0.0015795735,0.00082887156,0.30469337,0.0029862507,0.16285048,0.010199414,0.0773392],"study_design_scores_gemma":[0.00022495775,0.0009724233,0.7211433,0.00047880036,0.0008280276,0.0004897016,0.0024985273,0.11080713,0.0024318283,0.14054972,0.019478071,0.000097456184],"about_ca_topic_score_codex":0.014804674,"about_ca_topic_score_gemma":0.011954862,"teacher_disagreement_score":0.014804674,"about_ca_system_score_codex":0.0019245506,"about_ca_system_score_gemma":0.0012848238,"threshold_uncertainty_score":0.029437006},"labels":[],"label_agreement":null},{"id":"W5415700","doi":"","title":"Productividad total de los factores y capital tecnológico: un análisis comparado","year":2006,"lang":"es","type":"article","venue":"Información Comercial Española, ICE: Revista de economía","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Humanities; Political science; Welfare economics; Economics; Philosophy","score_opus":0.012722765250315649,"score_gpt":0.22999551516326464,"score_spread":0.21727274991294898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W5415700","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":[0.94672894,0.0019379834,0.02319391,0.000100099634,0.000015425649,0.00008490598,0.012036777,0.00025226825,0.015649654],"genre_scores_gemma":[0.97202885,0.0014148538,0.012834947,0.000013557709,0.000012879577,0.00010946315,0.0048539597,0.000095926865,0.008635534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991217,0.0001370015,0.00006934706,0.00021223274,0.00036170345,0.00009800313],"domain_scores_gemma":[0.9980525,0.00096182054,0.00024082382,0.0002720942,0.00044218055,0.00003053249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013638638,0.0007963561,0.0007829581,0.00476068,0.00025885625,0.0016619532,0.0003980719,0.00031001616,0.0055348366],"category_scores_gemma":[0.0038357892,0.00031104314,0.0012626306,0.009835756,0.00041248286,0.0008058824,0.0005737766,0.00035408628,0.00082168065],"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":[0.0004277404,0.00007177965,0.6997734,0.0005343806,0.0010392178,0.0002639197,0.0017252435,0.07635929,0.005291125,0.012034364,0.0019289922,0.2005506],"study_design_scores_gemma":[0.000035159672,0.00026928625,0.90858704,0.00013909765,0.00046010723,0.00048274983,0.0023320483,0.031448163,0.010854226,0.006168741,0.03915946,0.00006392926],"about_ca_topic_score_codex":0.07606812,"about_ca_topic_score_gemma":0.038647648,"teacher_disagreement_score":0.07606812,"about_ca_system_score_codex":0.001360481,"about_ca_system_score_gemma":0.0011349104,"threshold_uncertainty_score":0.15125066},"labels":[],"label_agreement":null},{"id":"W58244300","doi":"10.1007/978-3-540-92282-7_2","title":"The Key Phenomena that Potentially Cause Growth","year":2009,"lang":"en","type":"book-chapter","venue":"","topic":"Economic Growth and Productivity","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 Alberta","funders":"","keywords":"Discipline; Key (lock); Management science; Risk analysis (engineering); Engineering ethics; Epistemology; Computer science; Data science; Sociology; Engineering; Social science; Business; Computer security","score_opus":0.03958936979495089,"score_gpt":0.1895925494314055,"score_spread":0.1500031796364546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W58244300","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":[0.02388653,0.072410315,0.051481098,0.032095853,0.0032878248,0.00012395743,0.001168704,0.00037697004,0.81516874],"genre_scores_gemma":[0.56240803,0.17389333,0.028153902,0.004522278,0.0058146026,0.0003391204,0.0008748771,0.0003404941,0.22365342],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99972945,0.000055893866,0.000011097207,0.000050739727,0.00010544855,0.00004739965],"domain_scores_gemma":[0.9992461,0.00049795856,0.000090130765,0.000067399655,0.00006448074,0.0000339221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006782732,0.0008303931,0.00043173274,0.00071402226,0.0005531381,0.0027522643,0.0005686103,0.0017553737,0.016152237],"category_scores_gemma":[0.0029576172,0.0003222856,0.00047106817,0.0014449231,0.0022785012,0.0038684153,0.0012774987,0.0029379353,0.0035898874],"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":[0.000018782328,0.000026486065,0.000774562,0.00023887344,0.0000117281625,0.00026898092,0.00019962828,0.0016460392,0.00058057735,0.9302643,0.022650965,0.04331901],"study_design_scores_gemma":[0.000007704324,0.000012062577,0.0017165027,0.000134554,0.0000115409575,0.00028311965,0.00022620687,0.0011108001,0.00057535025,0.89204127,0.103867844,0.000013134338],"about_ca_topic_score_codex":0.0007961209,"about_ca_topic_score_gemma":0.00097150117,"teacher_disagreement_score":0.016152237,"about_ca_system_score_codex":0.0008738188,"about_ca_system_score_gemma":0.00097438495,"threshold_uncertainty_score":0.05403459},"labels":[],"label_agreement":null},{"id":"W58404452","doi":"","title":"The Role of ICT in Australia's Economic Performance *","year":2001,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"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":"Dozen; Quarter (Canadian coin); Economics; Economy; Geography; Development economics; Economic growth; Economic history","score_opus":0.027676786283153707,"score_gpt":0.20942694510848625,"score_spread":0.18175015882533255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W58404452","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":[0.70707244,0.008683579,0.0009069105,0.06355376,0.00033978332,0.000030547708,0.00027039868,0.00006965618,0.21907298],"genre_scores_gemma":[0.99264306,0.0017997297,0.00019146962,0.000493387,0.00007666212,0.0000036689714,0.000034439934,0.000008462001,0.004749128],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985858,0.00040075634,0.000068567206,0.00009538954,0.0004911153,0.00035829275],"domain_scores_gemma":[0.99394155,0.0007910875,0.0013637914,0.0001741011,0.0018231375,0.0019064038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022422844,0.00018544878,0.00014442063,0.00081875,0.0014302725,0.004869166,0.0003393244,0.00069258397,0.0032094333],"category_scores_gemma":[0.008071049,0.00009371784,0.00011243077,0.0019158452,0.001741017,0.0025089013,0.00265876,0.0012587119,0.0007402647],"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":[0.00029681204,0.00030318263,0.29123285,0.00063934206,0.00009273058,0.0016899441,0.015970418,0.0051996512,0.0023924564,0.1319218,0.061424527,0.48883632],"study_design_scores_gemma":[0.000012205921,0.0003141231,0.8192439,0.0006925111,0.000054300584,0.0004192534,0.011477972,0.007478938,0.00070895615,0.027819682,0.1317142,0.00006397099],"about_ca_topic_score_codex":0.056748,"about_ca_topic_score_gemma":0.07135363,"teacher_disagreement_score":0.056748,"about_ca_system_score_codex":0.004462945,"about_ca_system_score_gemma":0.00493443,"threshold_uncertainty_score":0.11283541},"labels":[],"label_agreement":null},{"id":"W58530311","doi":"","title":"A Half-Century of Productivity Growth and Structural Change in Canadian Agriculture: An Overview","year":2011,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"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":"Agriculture; Productivity; Primary sector of the economy; Agricultural productivity; Agricultural economics; Economics; Production (economics); Multifactor productivity; Total factor productivity; Economic sector; Geography; Economic growth; Economy; Macroeconomics","score_opus":0.0813253442585501,"score_gpt":0.2764339655121092,"score_spread":0.1951086212535591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W58530311","genre_codex":"review","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":[0.07305104,0.6736532,0.002239474,0.06676335,0.002439711,0.00009943136,0.004585826,0.00011145231,0.17705646],"genre_scores_gemma":[0.33691487,0.632629,0.0020804228,0.005023399,0.0011823736,0.000043689022,0.0016817502,0.00007949849,0.020365098],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99764425,0.0001234179,0.00008097928,0.00020816278,0.0011988668,0.0007442772],"domain_scores_gemma":[0.99477625,0.0006262156,0.0003150863,0.0001421304,0.0035881747,0.0005521347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020166028,0.00088461774,0.0005839023,0.010306681,0.005951921,0.0064205024,0.001235062,0.0016150905,0.003724843],"category_scores_gemma":[0.0042424253,0.00038241327,0.0005891883,0.028314007,0.00553622,0.0033566358,0.0017323458,0.0021311278,0.00034168537],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027789205,0.00011937134,0.056387655,0.0035884771,0.00017060876,0.0011384455,0.017715568,0.004165095,0.0014632344,0.18036239,0.12289636,0.6117149],"study_design_scores_gemma":[0.0000072769008,0.00003180791,0.19112046,0.0013975995,0.000054461903,0.0003186555,0.008101118,0.0006809865,0.00039778,0.007449049,0.7903347,0.000106067724],"about_ca_topic_score_codex":0.9894965,"about_ca_topic_score_gemma":0.99106604,"teacher_disagreement_score":0.1367286,"about_ca_system_score_codex":0.1367286,"about_ca_system_score_gemma":0.11650213,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W598401326","doi":"10.1017/cbo9780511510847.002","title":"The Innovation Survey","year":2003,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Statistics Canada","funders":"","keywords":"Productivity; Economic geography; Regional science; Economics; Geography; Economic growth","score_opus":0.055359266048452635,"score_gpt":0.18450831691660552,"score_spread":0.12914905086815287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W598401326","genre_codex":"dataset","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":[0.0074192346,0.0111568,0.0018684239,0.0039707944,0.0010303042,0.00029968028,0.7726779,0.0008168972,0.20075995],"genre_scores_gemma":[0.024899054,0.016438784,0.0032613336,0.0019430754,0.0006595714,0.0009584692,0.592306,0.0004141912,0.3591195],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99815,0.00021073737,0.00018009411,0.00022535888,0.0010111382,0.00022264036],"domain_scores_gemma":[0.9920345,0.0015238402,0.000826497,0.0006327708,0.004242696,0.0007397417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019208001,0.00046082042,0.00067424384,0.0061157774,0.00043475523,0.0014699264,0.00076265464,0.0006667515,0.041961834],"category_scores_gemma":[0.008344723,0.00025916516,0.00029027901,0.011712406,0.00018658355,0.0012124111,0.00089980377,0.0009145997,0.05017055],"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":[0.000025841007,0.000025945312,0.003845521,0.00021283829,0.000007747587,0.000010814748,0.000056726272,0.00006193995,0.000051885105,0.0025702536,0.92171,0.07142047],"study_design_scores_gemma":[0.000011589102,0.000015166034,0.019846385,0.00015696922,0.000006194692,0.00003472484,0.00006049239,0.00005997975,0.000104924555,0.0006612838,0.9790358,0.000006581549],"about_ca_topic_score_codex":0.01857252,"about_ca_topic_score_gemma":0.025118724,"teacher_disagreement_score":0.041961834,"about_ca_system_score_codex":0.0014092106,"about_ca_system_score_gemma":0.0035871204,"threshold_uncertainty_score":0.14037627},"labels":[],"label_agreement":null},{"id":"W607299941","doi":"10.1515/9780691210629","title":"Institutions, innovation, and industrialization : essays in economic history and development","year":2015,"lang":"en","type":"book","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Economic history; Industrial Revolution; Context (archaeology); Industrialisation; Spanish Civil War; Wage; Economy; Political science; Economics; History; Law","score_opus":0.12063732512953868,"score_gpt":0.28435480484712694,"score_spread":0.16371747971758827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W607299941","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008007632,0.5073636,0.0015521733,0.16927356,0.008776598,0.000031662912,0.00008578723,0.00004705655,0.30486184],"genre_scores_gemma":[0.31451494,0.38705903,0.0025779458,0.02612079,0.025306135,0.00019811107,0.00016181254,0.00015633191,0.24390486],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988071,0.00063046586,0.000038946637,0.000090344554,0.00025277806,0.00018035296],"domain_scores_gemma":[0.99777323,0.0015210385,0.00017491567,0.00008850914,0.00020577108,0.00023641298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018561834,0.00073031615,0.00055934343,0.002669393,0.0043759625,0.007745349,0.0007386013,0.0024008125,0.0040840083],"category_scores_gemma":[0.004087726,0.0003233113,0.0003283939,0.004877547,0.01135371,0.006343311,0.0025191645,0.0035343713,0.00060362567],"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":[0.000022654838,0.000044563058,0.00051445834,0.00023907168,0.000007801971,0.00008092709,0.012220921,0.00027158327,0.00007119703,0.7613122,0.19603817,0.029176416],"study_design_scores_gemma":[0.000006004685,0.0000093925,0.0008300374,0.000692131,0.0000033741776,0.000034005297,0.0034009046,0.00007112074,0.000040091007,0.066097625,0.9288093,0.000005935815],"about_ca_topic_score_codex":0.00532547,"about_ca_topic_score_gemma":0.007130352,"teacher_disagreement_score":0.007812961,"about_ca_system_score_codex":0.007812961,"about_ca_system_score_gemma":0.003824885,"threshold_uncertainty_score":0.056687295},"labels":[],"label_agreement":null},{"id":"W616368880","doi":"10.3233/jem-130380","title":"Correction for variations in capacity utilization in the measurement of productivity growth: A non-parametric approach","year":2013,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; Parametric statistics; Economics; Econometrics; Computer science; Statistics; Macroeconomics; Mathematics","score_opus":0.14778660321894327,"score_gpt":0.2414700410230901,"score_spread":0.09368343780414684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W616368880","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":[0.04658765,0.00051986735,0.9465626,0.00080556044,0.00037331952,0.00017401464,0.001178973,0.0009649979,0.0028330642],"genre_scores_gemma":[0.77751905,0.00037280674,0.21374094,0.00033106375,0.00022247108,0.0005552826,0.001717664,0.00049373606,0.0050469213],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9619128,0.018392421,0.002931847,0.0060205176,0.009322208,0.0014201512],"domain_scores_gemma":[0.8580238,0.07020961,0.020354271,0.036543746,0.014411786,0.00045673846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.030315194,0.00097458175,0.0011786805,0.0025841997,0.0009841266,0.0022810248,0.0027976898,0.0011559135,0.0021014633],"category_scores_gemma":[0.21090318,0.0007160266,0.0014131888,0.0065757683,0.0013688861,0.002973073,0.002677552,0.0033316175,0.00075200084],"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":[0.00045093076,0.0002910015,0.19959405,0.0007172874,0.001687975,0.0007851059,0.0033308486,0.13017665,0.00507513,0.10822746,0.017585948,0.5320776],"study_design_scores_gemma":[0.000082302526,0.00075821107,0.35538685,0.0005000451,0.0004683126,0.00093424594,0.002341831,0.36364475,0.029026574,0.16523737,0.08097404,0.0006454663],"about_ca_topic_score_codex":0.016308764,"about_ca_topic_score_gemma":0.010852707,"teacher_disagreement_score":0.030315194,"about_ca_system_score_codex":0.002302302,"about_ca_system_score_gemma":0.0031295798,"threshold_uncertainty_score":0.16032398},"labels":[],"label_agreement":null},{"id":"W616678344","doi":"","title":"Economic growth in the information age","year":2002,"lang":"de","type":"book","venue":"MIT Press eBooks","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":244,"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":"Productivity; Scope (computer science); China; Investment (military); Development economics; Division of labour; Economics; Economic growth; International trade; Business; Economy; Political science; Market economy","score_opus":0.03590923917657651,"score_gpt":0.19434187853346913,"score_spread":0.1584326393568926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W616678344","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011286236,0.1292048,0.0024961096,0.05625336,0.0020719294,0.000020431324,0.00034154818,0.00012128727,0.79820424],"genre_scores_gemma":[0.29053038,0.34931317,0.0022420413,0.006802739,0.005632262,0.000066332876,0.0006114036,0.00009173311,0.34470987],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996344,0.00005007644,0.000014289802,0.000033274093,0.00019333078,0.00007461958],"domain_scores_gemma":[0.99953234,0.00017779309,0.00003717424,0.000042997664,0.00014760834,0.00006209249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047365317,0.00040392546,0.0002473977,0.001262286,0.0008733469,0.004116203,0.00024765683,0.00089884416,0.004434455],"category_scores_gemma":[0.0019849904,0.00013289246,0.00017615444,0.003476861,0.0020025002,0.0057799225,0.0011130112,0.0013362074,0.0026580368],"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":[0.000014428116,0.000025095116,0.0011082251,0.0001020771,0.0000047568033,0.000110931156,0.0012700624,0.0007618958,0.00009679546,0.6687407,0.22036737,0.10739765],"study_design_scores_gemma":[0.0000041602093,0.000010864863,0.0022760571,0.00022868361,0.000003910612,0.0000769695,0.00049073435,0.00037476004,0.000083573665,0.11926566,0.8771788,0.000005873559],"about_ca_topic_score_codex":0.00510203,"about_ca_topic_score_gemma":0.0036404638,"teacher_disagreement_score":0.00510203,"about_ca_system_score_codex":0.0020973533,"about_ca_system_score_gemma":0.0018531723,"threshold_uncertainty_score":0.015217423},"labels":[],"label_agreement":null},{"id":"W621227881","doi":"","title":"On the Cyclicality of Schooling Decisions: Evidence from Canadian Data","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Novelty; Affect (linguistics); Longitudinal data; Economics; Demographic economics; Higher education; Psychology; Political science; Sociology; Economic growth; Social psychology; Demography","score_opus":0.17245038996841697,"score_gpt":0.3377956124954516,"score_spread":0.16534522252703462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W621227881","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":[0.92507005,0.0050801,0.0013601026,0.0017742304,0.000046251218,0.000061032344,0.054565284,0.00009669201,0.011946289],"genre_scores_gemma":[0.9629042,0.0027403678,0.00091002317,0.00023540841,0.000036236263,0.000021347309,0.031192351,0.000041415566,0.0019185222],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99804676,0.00020536299,0.00013422246,0.0003877941,0.00077445776,0.00045148222],"domain_scores_gemma":[0.9756245,0.006672971,0.007223164,0.0017921997,0.0073684314,0.0013187481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028338432,0.00039325774,0.00070183957,0.005059886,0.001751101,0.0025964316,0.0012946973,0.00059499376,0.0046506533],"category_scores_gemma":[0.01977619,0.00034352392,0.00069691375,0.019318951,0.0009169548,0.0006985658,0.0012912424,0.0008548105,0.00054354063],"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":[0.0002019277,0.000042085445,0.96411216,0.00016581552,0.00027897663,0.00017820619,0.0010654689,0.0019356527,0.00016013102,0.002080464,0.009046839,0.020732349],"study_design_scores_gemma":[0.000014997346,0.000016150405,0.9861109,0.00008789004,0.000083666826,0.00004406536,0.0008096088,0.002006831,0.00014257623,0.00038720685,0.010259226,0.00003687097],"about_ca_topic_score_codex":0.98567384,"about_ca_topic_score_gemma":0.98397946,"teacher_disagreement_score":0.014326155,"about_ca_system_score_codex":0.010043551,"about_ca_system_score_gemma":0.016154282,"threshold_uncertainty_score":0.07287139},"labels":[],"label_agreement":null},{"id":"W634003932","doi":"","title":"Surveys in Economic Growth: Theory and Empirics","year":2004,"lang":"en","type":"book","venue":"Blackwell eBooks","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":39,"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":"Human capital; Unemployment; Economic history; Productivity; George (robot); Economics; Political science; Sociology; History; Economic growth; Art history","score_opus":0.025983600641124576,"score_gpt":0.20831508225718892,"score_spread":0.18233148161606436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W634003932","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021049146,0.41571507,0.21209462,0.113766804,0.008563948,0.0009861214,0.026206568,0.001623009,0.19999474],"genre_scores_gemma":[0.2918756,0.4967775,0.11250546,0.010410288,0.012883678,0.0028780831,0.022674274,0.0007516017,0.049243506],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9801639,0.014428759,0.0011161143,0.0009728445,0.0028842138,0.00043428433],"domain_scores_gemma":[0.8919678,0.082114615,0.004467145,0.008371984,0.011691854,0.001386694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018816378,0.0011408031,0.0019434504,0.011816633,0.0008815499,0.0042105564,0.0013284013,0.0018177693,0.015457594],"category_scores_gemma":[0.09179183,0.00073159643,0.00056338153,0.029856425,0.0030569793,0.00947643,0.0029912316,0.0024928332,0.0049396],"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":[0.00009267386,0.00008800701,0.018359285,0.0022477997,0.00012343623,0.00007194385,0.0016194091,0.003727368,0.000074852294,0.19840579,0.27530575,0.49988374],"study_design_scores_gemma":[0.00007103307,0.00016701825,0.027402675,0.0053560166,0.000073515694,0.00021540657,0.0031407103,0.0063217035,0.00018400593,0.2552993,0.7016791,0.00008957441],"about_ca_topic_score_codex":0.005542327,"about_ca_topic_score_gemma":0.0039005117,"teacher_disagreement_score":0.018816378,"about_ca_system_score_codex":0.002542262,"about_ca_system_score_gemma":0.002533842,"threshold_uncertainty_score":0.09951174},"labels":[],"label_agreement":null},{"id":"W636019858","doi":"","title":"Biased Technological Change and the Relative Abundance of Natural Resources","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Natural resource; Technological change; Productivity; Revenue; Upstream (networking); Production (economics); Economics; Natural resource economics; Resource (disambiguation); Downstream (manufacturing); Elasticity of substitution; Business; Industrial organization; Microeconomics; Ecology; Macroeconomics; Operations management; Biology","score_opus":0.07282294899789549,"score_gpt":0.27377661322131547,"score_spread":0.20095366422341998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W636019858","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":[0.98227847,0.0015631936,0.004111626,0.00046895584,0.000011640299,0.000016457541,0.00041144408,0.000024705554,0.011113521],"genre_scores_gemma":[0.9967721,0.0006796412,0.00083542184,0.000060320835,0.000020304196,0.00000855937,0.00020339266,0.000005735112,0.0014144352],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994917,0.00007828948,0.000042917298,0.00013962558,0.0001605953,0.00008682872],"domain_scores_gemma":[0.99053735,0.0043232073,0.0033823636,0.00075231545,0.0005933952,0.0004115298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000927883,0.00016738758,0.00040239797,0.001786688,0.00034342898,0.0016137157,0.00026266146,0.000607547,0.00545456],"category_scores_gemma":[0.008604916,0.00021458656,0.00034722962,0.0018593647,0.0011146878,0.0017259298,0.0011856027,0.00053922134,0.0006217589],"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":[0.0005703205,0.00022289007,0.7618626,0.00050420593,0.0005103425,0.0023603088,0.00084210536,0.04039155,0.034356397,0.079432935,0.0012576504,0.0776888],"study_design_scores_gemma":[0.00007583382,0.00024150645,0.82329094,0.00010030916,0.00018065018,0.0019440738,0.0008000906,0.016576156,0.008668439,0.13587037,0.012191185,0.000060504062],"about_ca_topic_score_codex":0.0021536027,"about_ca_topic_score_gemma":0.002647359,"teacher_disagreement_score":0.00545456,"about_ca_system_score_codex":0.0007791466,"about_ca_system_score_gemma":0.0003885127,"threshold_uncertainty_score":0.018247366},"labels":[],"label_agreement":null},{"id":"W643121576","doi":"","title":"Wages, Human Capital, and the Allocation of Labor across Sectors","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":5,"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":"Human capital; Wage; Agriculture; Economics; Labour economics; Geography; Economic growth","score_opus":0.03760013995823526,"score_gpt":0.2953069117551396,"score_spread":0.2577067717969044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W643121576","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":[0.9837572,0.00048510038,0.003737387,0.000978005,0.000012862358,0.000010570465,0.0010374743,0.000017780483,0.009963476],"genre_scores_gemma":[0.9982838,0.0001225916,0.00031803545,0.000024229876,0.000004070152,0.0000022065642,0.00015144034,0.0000014431091,0.0010922105],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997428,0.00004723652,0.000012754304,0.000044119188,0.00005363268,0.000099444034],"domain_scores_gemma":[0.9984687,0.00044415984,0.0006674347,0.00010465636,0.00012530948,0.00018970277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041962427,0.00016716444,0.0001649108,0.00068037637,0.0005395567,0.0016586416,0.00032308546,0.00033316537,0.004182115],"category_scores_gemma":[0.0027882527,0.00012456259,0.00018820415,0.0015606573,0.00072903733,0.0008591179,0.00058842706,0.00040015017,0.0003264087],"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":[0.0002625001,0.00015500805,0.8290254,0.000107230546,0.00011331778,0.00029404898,0.0018672923,0.06053479,0.0015941453,0.05451932,0.0041964585,0.047330543],"study_design_scores_gemma":[0.00003730684,0.00008370945,0.8659828,0.00008922167,0.00005757684,0.00019582707,0.0022724713,0.05603348,0.0013262586,0.063229494,0.010656406,0.000035460664],"about_ca_topic_score_codex":0.061159447,"about_ca_topic_score_gemma":0.10677313,"teacher_disagreement_score":0.061159447,"about_ca_system_score_codex":0.0015228246,"about_ca_system_score_gemma":0.00090933964,"threshold_uncertainty_score":0.12160689},"labels":[],"label_agreement":null},{"id":"W66857290","doi":"","title":"The Challenge of Total Factor Productivity Measurement","year":2011,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Productivity; Econometrics; Order (exchange); Section (typography); Measure (data warehouse); Total factor productivity; Input/output; Industrial organization; Multifactor productivity; Computer science; Economics; Macroeconomics; Data mining; Finance","score_opus":0.1402690430509103,"score_gpt":0.20343499938981874,"score_spread":0.06316595633890842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W66857290","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":[0.029471528,0.06264707,0.6897616,0.11505742,0.0076094125,0.0002675636,0.0076404484,0.0012405332,0.08630447],"genre_scores_gemma":[0.62117326,0.043255925,0.2947482,0.009940003,0.013303496,0.0010645298,0.004286195,0.00079333526,0.011434998],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.96825904,0.013178245,0.002667839,0.0044620447,0.010637002,0.0007958223],"domain_scores_gemma":[0.88016313,0.06543368,0.008212393,0.017027723,0.027950965,0.0012121237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.036061987,0.0016129375,0.0025154983,0.006998362,0.0015665338,0.008779678,0.0048104804,0.0027459594,0.0031989326],"category_scores_gemma":[0.16066724,0.00087849435,0.0010480334,0.012613809,0.00477573,0.013798582,0.00443394,0.0059946873,0.002377721],"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":[0.000066737106,0.00007592627,0.012614214,0.0012585849,0.00028865537,0.00008151241,0.0012174635,0.011136247,0.00046722943,0.6558921,0.0544859,0.26241535],"study_design_scores_gemma":[0.000019358376,0.00007351154,0.006499078,0.0007149266,0.000034006876,0.000117896016,0.0014484548,0.01930404,0.000507594,0.90028226,0.07090828,0.0000905311],"about_ca_topic_score_codex":0.013170426,"about_ca_topic_score_gemma":0.0039848243,"teacher_disagreement_score":0.036061987,"about_ca_system_score_codex":0.004336358,"about_ca_system_score_gemma":0.0052321213,"threshold_uncertainty_score":0.19071633},"labels":[],"label_agreement":null},{"id":"W6890249352","doi":"10.34989/tr-23","title":"The Productivity-Inflation Nexus in Canada 1963-1979","year":2024,"lang":"en","type":"article","venue":"Bank of Canada Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Productivity; Inflation (cosmology); Bivariate analysis; Slowdown; Nexus (standard); Granger causality; Endogeneity; Per capita","score_opus":0.05120718593483742,"score_gpt":0.2575600959746213,"score_spread":0.2063529100397839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6890249352","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":[0.850361,0.009420858,0.00093265966,0.015954511,0.00022024542,0.00009242727,0.02791143,0.00013617786,0.09497066],"genre_scores_gemma":[0.98109835,0.002170446,0.00040315694,0.00025662754,0.000028495548,0.000011730594,0.0031186433,0.000011201368,0.012901281],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992901,0.000023203505,0.000020625723,0.00006162508,0.0002876266,0.00031676667],"domain_scores_gemma":[0.99853134,0.00010262173,0.00016549794,0.000027716338,0.0009155844,0.00025718377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045658674,0.00026235788,0.00037608843,0.0024033755,0.0035520552,0.0022865846,0.0006495475,0.00055066484,0.00439158],"category_scores_gemma":[0.0028369117,0.00028495962,0.0003667257,0.0055225072,0.0009945413,0.00066752435,0.00092489214,0.0011971376,0.00033875072],"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":[0.000836567,0.00015965308,0.6673344,0.0004803707,0.00028901306,0.0024823542,0.007855145,0.011980682,0.0017904383,0.12007782,0.047658503,0.13905501],"study_design_scores_gemma":[0.00003423637,0.00002594335,0.9277188,0.00011715647,0.000082400555,0.00014368347,0.0024467832,0.0043858932,0.0006958493,0.003231131,0.061064217,0.000053926957],"about_ca_topic_score_codex":0.99863786,"about_ca_topic_score_gemma":0.999278,"teacher_disagreement_score":0.12978141,"about_ca_system_score_codex":0.12978141,"about_ca_system_score_gemma":0.10743192,"threshold_uncertainty_score":0.9416344},"labels":[],"label_agreement":null},{"id":"W6890317085","doi":"10.34989/swp-1991-1","title":"The Productivity-Inflation Nexus Revisited: Canada, 1969-1988","year":2024,"lang":"en","type":"article","venue":"Bank of Canada Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Nexus (standard); Perspective (graphical); Government (linguistics); Context (archaeology)","score_opus":0.047006943166889546,"score_gpt":0.26400768200586916,"score_spread":0.2170007388389796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6890317085","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":[0.4141855,0.16344883,0.00138447,0.17249453,0.0018665366,0.0001745502,0.1341341,0.00022025549,0.11209133],"genre_scores_gemma":[0.86639714,0.05383496,0.0013535814,0.0053342055,0.00062455464,0.00006793103,0.01653329,0.00010974742,0.055744454],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99829334,0.00005510864,0.00011231574,0.00019894881,0.0006975177,0.0006428053],"domain_scores_gemma":[0.9925074,0.00064957107,0.00091696106,0.00013140398,0.0048974296,0.0008971914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016286054,0.00054273766,0.0009963134,0.0062978705,0.005457768,0.0070785196,0.0020296045,0.002188493,0.006931217],"category_scores_gemma":[0.008730606,0.00067290606,0.0008049281,0.028092116,0.0017998677,0.002655247,0.0014966555,0.0036928055,0.00046479548],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013174622,0.00023404724,0.24519636,0.001585495,0.0005453878,0.0014994845,0.0071384637,0.006343516,0.00033296485,0.18349582,0.4019354,0.15037556],"study_design_scores_gemma":[0.00013834436,0.000048126916,0.67454803,0.0010075398,0.0004100371,0.00028037737,0.006600453,0.0028554695,0.0007604588,0.0072664493,0.30595756,0.00012702701],"about_ca_topic_score_codex":0.9982309,"about_ca_topic_score_gemma":0.99940467,"teacher_disagreement_score":0.14190406,"about_ca_system_score_codex":0.14190406,"about_ca_system_score_gemma":0.1988349,"threshold_uncertainty_score":0.99526966},"labels":[],"label_agreement":null},{"id":"W6893428046","doi":"10.5281/zenodo.16412922","title":"Bilgi ve Haberleşme Teknoloji Harcamaları ile İnovasyon İndeksinin Dünya Ülkeleri Arasındaki Yeri ve Korelasyonu","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economic Growth and Productivity","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":"Per capita; Czech; Correlation; Cluster analysis; Index (typography); Group (periodic table); Slovak; Trend analysis","score_opus":0.04006992636066718,"score_gpt":0.214543855073487,"score_spread":0.1744739287128198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6893428046","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":[0.8326249,0.021333246,0.058652267,0.0020580126,0.00038158696,0.000094942654,0.0006356087,0.00044950738,0.08376993],"genre_scores_gemma":[0.95804363,0.006569724,0.018950783,0.00013023053,0.000122027275,0.000057149366,0.0007240335,0.00006844399,0.015334054],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99957067,0.00008737186,0.00003158782,0.00006857733,0.00017003088,0.00007174926],"domain_scores_gemma":[0.9984693,0.000653726,0.00027558807,0.00009273708,0.0004310243,0.000077730525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013138746,0.00053804304,0.00055108155,0.0011351116,0.00044871212,0.0026602356,0.00032882212,0.00054181094,0.008421232],"category_scores_gemma":[0.0023683244,0.00015981284,0.00037209617,0.0011301829,0.0006103366,0.0016929659,0.0007487458,0.000643314,0.0023876058],"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":[0.0008473933,0.0002490284,0.08734067,0.0010480554,0.00017314384,0.0016656448,0.0028100896,0.009099739,0.012778722,0.020120393,0.006173843,0.85769343],"study_design_scores_gemma":[0.00010455009,0.0014167585,0.63124794,0.0012058208,0.0005341982,0.006381864,0.01717735,0.047102395,0.0478436,0.043822996,0.20276554,0.00039704258],"about_ca_topic_score_codex":0.0015429277,"about_ca_topic_score_gemma":0.0017681422,"teacher_disagreement_score":0.008421232,"about_ca_system_score_codex":0.00068136136,"about_ca_system_score_gemma":0.00082622224,"threshold_uncertainty_score":0.028171837},"labels":[],"label_agreement":null},{"id":"W6907585203","doi":"10.22004/ag.econ.273578","title":"Intrinsic Business Cycles with Pro-Cyclical R&amp;D","year":2006,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Business cycle; Investment (military); Production (economics); Work (physics); Empirical evidence; Key (lock); Consumption (sociology); Production model","score_opus":0.036889746303055214,"score_gpt":0.19932290619587376,"score_spread":0.16243315989281853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907585203","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":[0.8800392,0.0038058534,0.06378543,0.0029783505,0.00009026801,0.00016660627,0.0014778055,0.00024589163,0.047410484],"genre_scores_gemma":[0.9907041,0.0012413809,0.0025613427,0.00014621882,0.000101361955,0.00006578987,0.000418374,0.000021178023,0.00474019],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99910945,0.00015551822,0.00009098312,0.0002699646,0.00020571267,0.00016838011],"domain_scores_gemma":[0.97860616,0.0047484366,0.013707598,0.00131347,0.00085515593,0.0007693391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016947703,0.0004690489,0.00054182386,0.0013532399,0.000525977,0.0028927731,0.00068192265,0.001101193,0.006341367],"category_scores_gemma":[0.01901788,0.00043911836,0.00062642817,0.0026410636,0.0019168175,0.0019182127,0.001686587,0.0012160926,0.0006532662],"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":[0.00027785957,0.00018788443,0.5198887,0.00052919064,0.0002549812,0.0011268773,0.00087165437,0.070328146,0.0032164091,0.2767062,0.004969766,0.12164239],"study_design_scores_gemma":[0.00006430825,0.0001911085,0.55246717,0.00016873276,0.00023773155,0.0021307264,0.0004750989,0.12793463,0.002437777,0.28741667,0.02637686,0.00009925231],"about_ca_topic_score_codex":0.0024719094,"about_ca_topic_score_gemma":0.002780842,"teacher_disagreement_score":0.006341367,"about_ca_system_score_codex":0.0014430019,"about_ca_system_score_gemma":0.0007586942,"threshold_uncertainty_score":0.021214008},"labels":[],"label_agreement":null},{"id":"W69208361","doi":"","title":"The local dimension of information spillovers: a critical review of empirical evidence in the case of innovation *. (Dialogue)","year":2001,"lang":"en","type":"review","venue":"Canadian Journal of Regional Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Externality; Dimension (graph theory); Empirical research; Empirical evidence; Economics; Welfare economics; Positive economics; Humanities; Sociology; Microeconomics; Epistemology; Philosophy; Mathematics","score_opus":0.22272578132550866,"score_gpt":0.3462734935405993,"score_spread":0.12354771221509062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W69208361","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00020932195,0.994041,0.00047416252,0.0039536725,0.0003829079,0.0000081957,0.000015246204,0.0000034423033,0.0009119865],"genre_scores_gemma":[0.007941235,0.9864849,0.0008616783,0.003025227,0.0013750748,0.00003941664,0.000026503265,0.000007571828,0.00023829928],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.991695,0.0039519155,0.0010210531,0.0008633649,0.0020493062,0.00041930834],"domain_scores_gemma":[0.8959132,0.0914191,0.003557533,0.0008882126,0.007757171,0.00046478337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017125428,0.0010767509,0.0026724772,0.019713072,0.0016708849,0.006299658,0.0024099227,0.005824434,0.0030710076],"category_scores_gemma":[0.036394555,0.0010525399,0.001948368,0.016454387,0.007844743,0.013051705,0.002976651,0.005422981,0.0010186416],"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":[0.00032456272,0.00015759922,0.002653855,0.11391467,0.0009161384,0.0020270727,0.0054071606,0.0024390202,0.0011467846,0.14433807,0.09066552,0.63600963],"study_design_scores_gemma":[0.00004213586,0.00031726036,0.010953486,0.1399345,0.0009880976,0.0034820598,0.006922747,0.0011955241,0.0011730274,0.0827346,0.75202537,0.00023118104],"about_ca_topic_score_codex":0.0063939863,"about_ca_topic_score_gemma":0.0076637934,"teacher_disagreement_score":0.019713072,"about_ca_system_score_codex":0.0067674145,"about_ca_system_score_gemma":0.0063900156,"threshold_uncertainty_score":0.09056902},"labels":[],"label_agreement":null},{"id":"W6921367478","doi":"10.6084/m9.figshare.c.7068653","title":"Efficacy of an experimental toothpaste containing sodium bicarbonate, sodium hyaluronate and sodium fluoride on gingivitis","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"All Sum Research Center (Canada)","funders":"","keywords":"Toothpaste; Sodium bicarbonate; Gingivitis; Sodium fluoride; Sodium hyaluronate; Dental plaque; Sodium","score_opus":0.03882598249691271,"score_gpt":0.24241584918052841,"score_spread":0.2035898666836157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6921367478","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":[0.9976412,0.0012499095,0.00019341048,0.000053861055,0.00009530003,0.00041763557,0.00006696152,0.000015656608,0.00026613654],"genre_scores_gemma":[0.99578506,0.0009667248,0.0017418555,0.000096342716,0.000127944,0.0005088759,0.000080164944,0.000005644718,0.00068731996],"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9990883,0.0003897646,0.00011572351,0.0001655931,0.00014370604,0.00009684445],"domain_scores_gemma":[0.9990283,0.00027472264,0.00022150313,0.000090229536,0.00012850905,0.00025670195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014801465,0.0006379985,0.0013388672,0.00040463652,0.00039125566,0.00051944074,0.0006216381,0.0011668146,0.0016369623],"category_scores_gemma":[0.0009816001,0.00044238713,0.0007347937,0.00025493713,0.0006339248,0.00042740014,0.00034903042,0.0010613742,0.00021017388],"study_design_candidate":"nonrandomized_trial","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":[0.54288006,0.10501601,0.002427202,0.0017033494,0.00071851315,0.000063686464,0.00018634024,0.0004113998,0.29163882,0.00015726799,0.0003982785,0.05439918],"study_design_scores_gemma":[0.043059517,0.89922595,0.0076821907,0.000069345115,0.00059596956,0.000051627307,0.00007016167,0.0007092831,0.04751865,0.000047751877,0.00094425754,0.000025363972],"about_ca_topic_score_codex":0.00056459644,"about_ca_topic_score_gemma":0.0008083986,"teacher_disagreement_score":0.0016369623,"about_ca_system_score_codex":0.00025083259,"about_ca_system_score_gemma":0.0007528651,"threshold_uncertainty_score":0.007827878},"labels":[],"label_agreement":null},{"id":"W6925670534","doi":"10.18164/348504f1-43a6-4e0c-aee5-fc470b1dc888","title":"Single year data tables by facility – releases, transfers and disposals","year":2021,"lang":"en","type":"dataset","venue":"ECCC Data Catalogue","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Pollutant; Criteria air contaminants; Transfer (computing); Water pollutants","score_opus":0.07616712536681262,"score_gpt":0.23568585998869568,"score_spread":0.15951873462188304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6925670534","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000037644353,0.0000132847545,0.000025384968,0.000023253182,0.000008973849,0.000005282995,0.999263,0.000069755995,0.0005533391],"genre_scores_gemma":[0.0002779099,0.00005256988,0.00017222935,0.000022788117,0.0000041910343,0.000045089335,0.99824464,0.000048083748,0.0011325424],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983277,0.00012553278,0.00023440066,0.00037818827,0.00064710807,0.00028707652],"domain_scores_gemma":[0.9930097,0.0010737284,0.0006792735,0.0009910096,0.0037485205,0.0004978499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010120046,0.0014034284,0.0011351455,0.0057474202,0.0009429008,0.0030999323,0.0019400397,0.0010548468,0.08496397],"category_scores_gemma":[0.008339413,0.0008330175,0.0010145956,0.018944424,0.00033965343,0.0014803206,0.0010803862,0.0019494059,0.07557606],"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":[0.000017787897,0.000007456513,0.0007172695,0.0002044876,0.000013556965,0.000009641496,0.000014194548,0.0002597799,0.000036865113,0.00074659556,0.9964439,0.0015285399],"study_design_scores_gemma":[0.00005114675,0.000003664209,0.005114151,0.00018250465,0.000010337442,0.000020262654,0.00006138728,0.00024463917,0.00017692229,0.0007129105,0.99340075,0.000021364736],"about_ca_topic_score_codex":0.36454022,"about_ca_topic_score_gemma":0.40495828,"teacher_disagreement_score":0.36454022,"about_ca_system_score_codex":0.005657821,"about_ca_system_score_gemma":0.010297632,"threshold_uncertainty_score":0.7248367},"labels":[],"label_agreement":null},{"id":"W6927698248","doi":"10.34989/swp-1993-13","title":"Is Productivity Exogenous Over the Cycle?: Some Canadian Evidence on the Solow Residual","year":2024,"lang":"en","type":"article","venue":"Bank of Canada Research","topic":"Economic Growth and Productivity","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":"Productivity; Residual; Solow residual; Work (physics); Total factor productivity","score_opus":0.12867263243344992,"score_gpt":0.29158499402697025,"score_spread":0.16291236159352032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6927698248","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":[0.6692126,0.044047963,0.0054215495,0.06922329,0.00065273617,0.00016529807,0.034627624,0.00046668685,0.17618226],"genre_scores_gemma":[0.9639509,0.010680112,0.00078017416,0.001586632,0.00013691175,0.000016684053,0.0047020647,0.00014562732,0.018000953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99723166,0.00022149945,0.00018147838,0.0004916927,0.0010480785,0.0008255663],"domain_scores_gemma":[0.972559,0.0070055192,0.0055774464,0.0019227864,0.01107025,0.0018650909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059082704,0.00060367514,0.0016015216,0.003409234,0.0057153567,0.008467594,0.0030883555,0.0013841044,0.012088239],"category_scores_gemma":[0.027790379,0.0005465767,0.0010338401,0.011468986,0.0039776806,0.002634147,0.0015615121,0.002568199,0.00093718193],"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":[0.002448893,0.00022497147,0.50594676,0.0012362935,0.0011199833,0.000880751,0.010501671,0.009492094,0.0012163692,0.23612665,0.08282956,0.14797606],"study_design_scores_gemma":[0.00035312673,0.00011340939,0.81046504,0.0008443857,0.0013074578,0.00010465075,0.010411445,0.008582962,0.0020378323,0.031668272,0.13379736,0.00031415396],"about_ca_topic_score_codex":0.9941565,"about_ca_topic_score_gemma":0.9938338,"teacher_disagreement_score":0.045299627,"about_ca_system_score_codex":0.045299627,"about_ca_system_score_gemma":0.06171572,"threshold_uncertainty_score":0.32867336},"labels":[],"label_agreement":null},{"id":"W6930835398","doi":"10.5281/zenodo.15218317","title":"Empis (Enoplempis) paraerobatica Sinclair, Brooks & Cumming, 2025, sp. nov.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Holotype; Butte; Placer mining; Conglomerate","score_opus":0.04635194156814173,"score_gpt":0.2379096983702979,"score_spread":0.19155775680215617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930835398","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":[0.126299,0.033398002,0.014964272,0.0029820248,0.0034482873,0.0023495224,0.017667137,0.00216235,0.79672945],"genre_scores_gemma":[0.58826864,0.03029311,0.040253464,0.0061277156,0.0015324996,0.0031961652,0.021059817,0.00054146594,0.3087271],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9996774,0.000025923608,0.000026702115,0.00012005008,0.00011278887,0.000037222384],"domain_scores_gemma":[0.99962044,0.00005459787,0.00009454688,0.000043828506,0.00012803687,0.000058646903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037579704,0.0015039416,0.00066707,0.0020847258,0.0028622688,0.0007988464,0.0011328673,0.0011717879,0.019288026],"category_scores_gemma":[0.0008316324,0.00044055106,0.00025549292,0.0018941496,0.0009598635,0.0024559807,0.0010999768,0.0020321028,0.015430274],"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":[0.00031022175,0.0001442156,0.016160324,0.0009778729,0.00010821758,0.0026524048,0.0022702436,0.0007609503,0.0102507565,0.003050261,0.09874111,0.86457336],"study_design_scores_gemma":[0.000119536766,0.00020855997,0.19504538,0.0017405616,0.00026092157,0.007583763,0.0031001046,0.000891635,0.0028662232,0.0016341491,0.78649354,0.000055629433],"about_ca_topic_score_codex":0.0360334,"about_ca_topic_score_gemma":0.08900926,"teacher_disagreement_score":0.0360334,"about_ca_system_score_codex":0.0015542537,"about_ca_system_score_gemma":0.0010795787,"threshold_uncertainty_score":0.07164729},"labels":[],"label_agreement":null},{"id":"W6931180132","doi":"10.5281/zenodo.4418078","title":"FIGURE 2 in A new species of Okanagana from the Walker Lane region of Nevada and California (Hemiptera: Auchenorrhyncha: Cicadidae)","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Greenfield Research (Canada)","funders":"","keywords":"Sinkhole; Field (mathematics); Margin (machine learning)","score_opus":0.040045976571851105,"score_gpt":0.19105734459498103,"score_spread":0.15101136802312992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931180132","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4356879,0.00673333,0.004144004,0.0011497517,0.001591456,0.00051802245,0.015073877,0.00070533063,0.5343963],"genre_scores_gemma":[0.7543308,0.0030520558,0.016310154,0.0006122698,0.0001867606,0.00026651227,0.01874754,0.00019963419,0.20629434],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99991727,0.0000054312386,0.0000047775898,0.000037712496,0.000018709892,0.000016091799],"domain_scores_gemma":[0.99993503,0.000008241552,0.000011049491,0.0000069075622,0.000018492241,0.0000202431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010669601,0.0003199229,0.0001564923,0.0014083607,0.001433047,0.0005115153,0.00034401388,0.0004007188,0.022401186],"category_scores_gemma":[0.00012641719,0.00017849702,0.00015516188,0.0006355373,0.00035932707,0.00040642137,0.0005573478,0.00052329036,0.002853785],"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":[0.00080471975,0.00022776995,0.21468078,0.0014123345,0.00011671835,0.007970552,0.0076371054,0.00079594774,0.035751153,0.0052140816,0.11669443,0.60869455],"study_design_scores_gemma":[0.000024930545,0.000081189544,0.30016112,0.00024772916,0.000089622146,0.003512128,0.0037000407,0.00025353485,0.0010209195,0.0005381071,0.69033736,0.000033315482],"about_ca_topic_score_codex":0.07811859,"about_ca_topic_score_gemma":0.44763374,"teacher_disagreement_score":0.07811859,"about_ca_system_score_codex":0.00059113454,"about_ca_system_score_gemma":0.0005003504,"threshold_uncertainty_score":0.1553278},"labels":[],"label_agreement":null},{"id":"W6931994843","doi":"10.5403002/foo.bar","title":"download [pdf] Steel Princess (Royal Elite, #2) BY Rina Kent PDF Download","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economic Growth and Productivity","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":"Download; Popularity; Plot (graphics); Performance art; Canadian literature","score_opus":0.024871487417022355,"score_gpt":0.2110748554498007,"score_spread":0.18620336803277834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931994843","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018715981,0.00072673097,0.0005930212,0.0018289392,0.0021422992,0.000051393094,0.0007471453,0.0009959644,0.99104285],"genre_scores_gemma":[0.004685046,0.00040617058,0.00028053485,0.00036377696,0.00022348046,0.00001596501,0.0002921071,0.00053063675,0.99320215],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99974054,0.000028652767,0.000007704209,0.00003341998,0.00015991689,0.000029678686],"domain_scores_gemma":[0.9995722,0.000049405447,0.000021275338,0.000049005546,0.0002064994,0.00010155338],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00029312653,0.0004496248,0.00024379983,0.00053372135,0.0021946589,0.0034813972,0.0005043806,0.00090784114,0.5812771],"category_scores_gemma":[0.0015816251,0.00026638745,0.00022489317,0.000680177,0.0006891211,0.0025279447,0.0019143304,0.0015520494,0.37615106],"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":[0.000017315086,0.000010167701,0.00008541286,0.00006526884,0.0000015879419,0.00019019214,0.000703005,0.00001862878,0.00044774017,0.0025646107,0.97142416,0.024471741],"study_design_scores_gemma":[0.0000024543094,0.000008006737,0.0003726875,0.000027048856,8.1987577e-7,0.00013124375,0.00034473665,0.000016893588,0.00013948645,0.00012431396,0.9988281,0.0000042097204],"about_ca_topic_score_codex":0.004482072,"about_ca_topic_score_gemma":0.011785843,"teacher_disagreement_score":0.41872293,"about_ca_system_score_codex":0.00081829063,"about_ca_system_score_gemma":0.0005559076,"threshold_uncertainty_score":0.59725744},"labels":[],"label_agreement":null},{"id":"W6944992599","doi":"10.22029/jlupub-11733","title":"Das Akute Abdomen beim Kleintier aus chirurgischer Sicht : Eine retrospektive Studie von 2000- 2005","year":2011,"lang":"de","type":"dissertation","venue":"","topic":"Economic Growth and Productivity","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":"Abdomen; Abdominal surgery; Cardiothoracic surgery; Congenital disease; Acute abdomen","score_opus":0.026862265553607007,"score_gpt":0.23995143087429413,"score_spread":0.2130891653206871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6944992599","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":[0.8832192,0.106280096,0.0011484362,0.00041510942,0.00019400276,0.0015007957,0.0047073443,0.000011677023,0.002523351],"genre_scores_gemma":[0.9618363,0.028052794,0.0015063874,0.0014376469,0.00026987068,0.0016365448,0.0045338916,0.000010793005,0.000715682],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982703,0.00048441582,0.00061202503,0.00025429003,0.00025207087,0.00012688778],"domain_scores_gemma":[0.99435014,0.002046336,0.0021671024,0.0002898956,0.00086311484,0.0002835853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032874907,0.00041388345,0.0011760998,0.0013246654,0.0005487689,0.0016994381,0.000460092,0.00074529246,0.0022352214],"category_scores_gemma":[0.0078059994,0.00050337083,0.0015953174,0.001680328,0.00046699654,0.0016667664,0.0006877063,0.0007266589,0.00039742616],"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":[0.010927234,0.00061592815,0.91439277,0.015218432,0.005663017,0.00097273814,0.0011252955,0.00022700343,0.00081276626,0.00032287874,0.0028376298,0.04688437],"study_design_scores_gemma":[0.0023683019,0.00970681,0.927544,0.013143808,0.017353008,0.0041497108,0.0038773345,0.00028898485,0.001087374,0.00071698346,0.019643184,0.0001205107],"about_ca_topic_score_codex":0.001380617,"about_ca_topic_score_gemma":0.0032827428,"teacher_disagreement_score":0.0032874907,"about_ca_system_score_codex":0.00092948106,"about_ca_system_score_gemma":0.0012340413,"threshold_uncertainty_score":0.017386138},"labels":[],"label_agreement":null},{"id":"W6958111890","doi":"10.6084/m9.figshare.17040734.v1","title":"Determinants of quality of life in degenerative cervical myelopathy: a systematic review","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Economic Growth and Productivity","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":"Quality of life (healthcare); MEDLINE; Systematic review; Myelopathy; Cohort study; Cohort; Quality of evidence; Activities of daily living","score_opus":0.12237588258234743,"score_gpt":0.29157203335072907,"score_spread":0.16919615076838163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958111890","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015843388,0.9972691,0.0000947072,0.00016853782,0.000049557784,0.00034600045,0.0003097666,0.0000055360806,0.00017252422],"genre_scores_gemma":[0.03015393,0.96727806,0.0006624084,0.00041553908,0.00006874062,0.0010275053,0.00028232046,0.0000056004415,0.000105860694],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.98955065,0.003913815,0.0036306554,0.00066840125,0.001936957,0.00029949253],"domain_scores_gemma":[0.9625953,0.026306046,0.007979121,0.0004104304,0.0023272508,0.00038185986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010564242,0.0016467442,0.010938897,0.009562813,0.0007233077,0.0035029692,0.0017334323,0.0018711882,0.0038323726],"category_scores_gemma":[0.046536293,0.0011532722,0.009947505,0.011453184,0.0010356209,0.0024570837,0.0017445899,0.0014651387,0.00024251013],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000153008,0.000016827616,0.0012585466,0.9689279,0.011498799,0.00006160494,0.00018450287,0.000081581005,0.00006223614,0.00015012958,0.0006026215,0.01700223],"study_design_scores_gemma":[0.00032082872,0.00026128851,0.00973938,0.8956946,0.08413551,0.00037648052,0.0003637465,0.00011894835,0.00009150806,0.0003126339,0.008533587,0.000051489977],"about_ca_topic_score_codex":0.009578841,"about_ca_topic_score_gemma":0.02748901,"teacher_disagreement_score":0.010938897,"about_ca_system_score_codex":0.005243351,"about_ca_system_score_gemma":0.01319548,"threshold_uncertainty_score":0.0558697},"labels":[],"label_agreement":null},{"id":"W6963099812","doi":"10.20381/ruor-25511","title":"The Role of the Interprovincial Transfers in the ß-Convergence Process. Further Empirical Evidence for Canada","year":2003,"lang":"fr","type":"article","venue":"uO Research (University of Ottawa)","topic":"Economic Growth and Productivity","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":"Convergence (economics); Empirical evidence; Principal (computer security); Convergence clubs; Empirical research","score_opus":0.09741622708466373,"score_gpt":0.2901045294687511,"score_spread":0.19268830238408735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6963099812","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":[0.948277,0.0027453655,0.002901763,0.0035446635,0.00001874744,0.00008382563,0.0008838747,0.000045184024,0.041499544],"genre_scores_gemma":[0.9958131,0.0005768629,0.0005509814,0.00007532003,0.000005419619,0.000009105188,0.00018843543,0.000006057478,0.00277457],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985702,0.00021623092,0.00007004222,0.00016859558,0.00033394695,0.0006409993],"domain_scores_gemma":[0.99266076,0.0022816064,0.0014367511,0.00034981477,0.002107225,0.0011639489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002706569,0.00024161674,0.00039260258,0.0031063743,0.0025481163,0.0019814076,0.0005475568,0.00053902785,0.008340644],"category_scores_gemma":[0.012644282,0.00019930337,0.0005500226,0.0031958034,0.0015198997,0.0011513897,0.001689849,0.0009428895,0.00036540953],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050898263,0.0000919327,0.8686286,0.00019573593,0.00017675057,0.0005813258,0.005351255,0.008848454,0.00075335614,0.041103728,0.0024488622,0.07131097],"study_design_scores_gemma":[0.000034312154,0.00005174596,0.9760652,0.00009101641,0.00009704459,0.00009094708,0.0045358227,0.005851653,0.0005018431,0.0046570785,0.008000398,0.000022898057],"about_ca_topic_score_codex":0.9197981,"about_ca_topic_score_gemma":0.9212653,"teacher_disagreement_score":0.98721796,"about_ca_system_score_codex":0.012782014,"about_ca_system_score_gemma":0.0184468,"threshold_uncertainty_score":0.16134846},"labels":[],"label_agreement":null},{"id":"W6965252707","doi":"10.34989/tr-43","title":"The Slowdown in Productivity Growth in the 1975-83 Period: A Survey of Possible Explanations","year":2021,"lang":"en","type":"article","venue":"Bank of Canada Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Slowdown; Productivity; Stock (firearms); Total factor productivity; Inflation (cosmology); Capital (architecture); Capital deepening","score_opus":0.09326841916967456,"score_gpt":0.28469980263762096,"score_spread":0.19143138346794641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6965252707","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90987766,0.053849194,0.00059336354,0.0083722975,0.00014571325,0.000055172703,0.0071558296,0.00010059561,0.019850168],"genre_scores_gemma":[0.9768694,0.018597333,0.00018876826,0.0004095676,0.00006949232,0.0000120082905,0.00223744,0.000009840647,0.001606173],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991265,0.00004791196,0.00006506674,0.00011817477,0.00025447342,0.00038785784],"domain_scores_gemma":[0.9966877,0.00057492254,0.0010469274,0.00008155435,0.0013387508,0.0002700996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013342802,0.0003204806,0.00041848264,0.0045676334,0.0012075118,0.0015394753,0.00062260067,0.0004897339,0.0024650677],"category_scores_gemma":[0.0036829924,0.00020844222,0.0004261175,0.011532476,0.0012311079,0.00070620235,0.0007022695,0.00084677304,0.0002389093],"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":[0.00014355993,0.000030875515,0.92882174,0.00052730134,0.00008838441,0.0011260032,0.002672641,0.00069995655,0.0005455095,0.0027516098,0.004897653,0.057694707],"study_design_scores_gemma":[0.0000014574201,0.00001056082,0.9922569,0.0000742925,0.000013668345,0.000095370255,0.0013025708,0.00010623039,0.0001377574,0.000150483,0.005841956,0.000008880127],"about_ca_topic_score_codex":0.77791244,"about_ca_topic_score_gemma":0.80692947,"teacher_disagreement_score":0.77791244,"about_ca_system_score_codex":0.013040078,"about_ca_system_score_gemma":0.009796907,"threshold_uncertainty_score":0.44679093},"labels":[],"label_agreement":null},{"id":"W6967370428","doi":"10.5281/zenodo.1055774","title":"Regional Convergence In Per Capita Personal Income In The Us And Canada","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economic Growth and Productivity","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":"Per capita income; Personal income; Convergence (economics); Per capita; Total personal income; Sample (material); Adjusted gross income","score_opus":0.03229340287662248,"score_gpt":0.19780569055138184,"score_spread":0.16551228767475934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6967370428","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":[0.9792931,0.0017794953,0.00024604026,0.0007310086,0.000014103559,0.000013139256,0.0048028673,0.000030976877,0.013089238],"genre_scores_gemma":[0.99616003,0.00059670774,0.00018130997,0.000038136102,0.000003112891,0.0000029274156,0.001887658,0.000007709271,0.0011222847],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993179,0.000031702977,0.0000271712,0.00009127049,0.00020319,0.00032876103],"domain_scores_gemma":[0.9979646,0.0001112204,0.00019401974,0.000051308478,0.0013984711,0.0002804375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005815324,0.00018502168,0.00035864,0.0033819359,0.0010873097,0.0012860922,0.0005255801,0.0001821928,0.0019433849],"category_scores_gemma":[0.0028758394,0.00014089022,0.00047877964,0.0066009597,0.00051816244,0.00043446213,0.00091718015,0.00041343019,0.0001848475],"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":[0.00016705242,0.000016174416,0.95749915,0.000055237975,0.00015309942,0.0003350549,0.0020064253,0.0036030079,0.00032254474,0.004314214,0.0042454717,0.027282631],"study_design_scores_gemma":[0.0000024150654,0.0000043995897,0.99539435,0.000023555674,0.000018705077,0.000048460817,0.00097469176,0.00081366417,0.00008393506,0.000107986685,0.0025170303,0.000010894521],"about_ca_topic_score_codex":0.99098283,"about_ca_topic_score_gemma":0.9908922,"teacher_disagreement_score":0.015794128,"about_ca_system_score_codex":0.015794128,"about_ca_system_score_gemma":0.016795559,"threshold_uncertainty_score":0.11459494},"labels":[],"label_agreement":null},{"id":"W6969406614","doi":"10.5683/sp3/i85naw","title":"Using Campus-wide LiDAR to Map and Characterize Understory at the University British Columbia Vancouver Campus","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Understory; Vegetation (pathology); Lidar; Biodiversity; Climate change","score_opus":0.029520874010840262,"score_gpt":0.19761086075602455,"score_spread":0.16808998674518427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6969406614","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98573303,0.00011345412,0.00417253,0.00007468279,0.000007320089,0.00005751149,0.0022354221,0.00023889626,0.007367198],"genre_scores_gemma":[0.98468506,0.00013501535,0.010407806,0.000033649925,0.0000031319191,0.000040163955,0.0020173877,0.000026776657,0.002650984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998318,0.000010075489,0.000004498631,0.000036143945,0.00007014576,0.000047224014],"domain_scores_gemma":[0.99976426,0.000014411376,0.000013665746,0.0000105896,0.00015392673,0.00004310286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009955794,0.0002220644,0.00015772655,0.0011303008,0.0005934287,0.0010851683,0.0004042803,0.00018189511,0.0011587363],"category_scores_gemma":[0.00035506726,0.00014511759,0.000110666144,0.0017965493,0.0001118481,0.00027948793,0.0007004577,0.00027339303,0.00047747415],"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":[0.00016683148,0.00019273865,0.68543494,0.0001270942,0.000058852478,0.0004742544,0.0015215268,0.0137366215,0.035699364,0.00044725768,0.0069605196,0.25518],"study_design_scores_gemma":[0.000017034527,0.00004126834,0.84945196,0.00005958758,0.000029682575,0.00011960708,0.004750315,0.13299316,0.004203672,0.00022639694,0.008058022,0.000049310875],"about_ca_topic_score_codex":0.6018809,"about_ca_topic_score_gemma":0.82135046,"teacher_disagreement_score":0.3981191,"about_ca_system_score_codex":0.0011798999,"about_ca_system_score_gemma":0.0021001578,"threshold_uncertainty_score":0.8009274},"labels":[],"label_agreement":null},{"id":"W6969530365","doi":"10.5683/sp3/07srta","title":"2021 Newfoundland and Labrador Election Study","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Western University","funders":"","keywords":"Democracy; Federal election; General election; Group voting ticket; Primary election","score_opus":0.022173923447579184,"score_gpt":0.2258445852401141,"score_spread":0.20367066179253493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6969530365","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012452209,0.00008774932,0.0000670209,0.00017236544,0.000027384396,0.000071438684,0.99565494,0.00007928949,0.0025946307],"genre_scores_gemma":[0.0021789207,0.00008105877,0.0002607286,0.00014462709,0.000020181453,0.0003188283,0.98997575,0.00004094713,0.006979026],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981464,0.00026338358,0.00016215672,0.00035716008,0.00048265193,0.0005882899],"domain_scores_gemma":[0.9947496,0.0005557306,0.00069286197,0.00070934487,0.0027112484,0.0005811202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018709368,0.0012622939,0.0012698736,0.0039959867,0.0020133483,0.0026084871,0.0024546725,0.0014188341,0.04867889],"category_scores_gemma":[0.005829337,0.00082353404,0.00070244784,0.0070069204,0.00041879728,0.0009433145,0.0016838834,0.0018100679,0.04183356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005469523,0.00003781159,0.00440092,0.000115549534,0.00002014156,0.000035956244,0.00003343685,0.00012522297,0.000020303483,0.00041152586,0.99253875,0.0022057001],"study_design_scores_gemma":[0.0001920083,0.000029950452,0.09754023,0.00028994432,0.000038839873,0.000056731245,0.00033499647,0.00041151157,0.00017874745,0.00025448514,0.9006238,0.000048778224],"about_ca_topic_score_codex":0.7329451,"about_ca_topic_score_gemma":0.8788309,"teacher_disagreement_score":0.26705492,"about_ca_system_score_codex":0.008068889,"about_ca_system_score_gemma":0.010795541,"threshold_uncertainty_score":0.5372553},"labels":[],"label_agreement":null},{"id":"W6980190769","doi":"","title":"Benton Announces Updated PEA With Improved Economics for the Cape Ray Gold Project, Newfoundland","year":2017,"lang":"en","type":"other","venue":"","topic":"Economic Growth and Productivity","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":"Cape; Gold rush; Gold coast","score_opus":0.030520688792364074,"score_gpt":0.22418151588805027,"score_spread":0.1936608270956862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980190769","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004100984,0.0017931625,0.0017207498,0.046658196,0.01821925,0.00039070818,0.044196285,0.003018838,0.87990177],"genre_scores_gemma":[0.001839515,0.00018606777,0.0002966212,0.0013355816,0.00046333804,0.000024206087,0.0026902696,0.0002933601,0.992871],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997451,0.00009820804,0.00005932451,0.00017853972,0.0015777013,0.0006351412],"domain_scores_gemma":[0.9918541,0.00057421625,0.00022149252,0.00061877904,0.00479361,0.0019378549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031930034,0.0007545455,0.0007312357,0.0030293928,0.0032783614,0.008080121,0.0013958247,0.003985545,0.22850154],"category_scores_gemma":[0.0077317,0.0006123121,0.00070667296,0.0022491468,0.0010895706,0.0025535685,0.0021955925,0.0054952884,0.08121475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025240126,0.000026813655,0.00023144277,0.000011881331,0.0000018727886,0.0000376287,0.000011457995,0.000046075693,0.00005012791,0.0014045219,0.99270517,0.005447668],"study_design_scores_gemma":[0.000013570381,0.000013271735,0.0039171483,0.000026059915,0.000003299641,0.000018227554,0.00005141252,0.000112383976,0.00014340597,0.00047677106,0.99521327,0.000011246411],"about_ca_topic_score_codex":0.39000222,"about_ca_topic_score_gemma":0.712118,"teacher_disagreement_score":0.60999775,"about_ca_system_score_codex":0.011093462,"about_ca_system_score_gemma":0.021113772,"threshold_uncertainty_score":0.7754643},"labels":[],"label_agreement":null},{"id":"W6981188815","doi":"","title":"Directionality in drawing in children and adults with the preferred and non-preferred hands","year":2015,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Directionality; Affect (linguistics); Object (grammar); Task (project management); Sample (material)","score_opus":0.024001661352605518,"score_gpt":0.2006383669326663,"score_spread":0.17663670558006078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6981188815","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":[0.9995202,0.00011337241,0.000021016194,0.0000057595958,0.0000024199933,0.0000040909244,0.000045591867,0.0000019156853,0.0002856912],"genre_scores_gemma":[0.9990163,0.00014012838,0.00011745831,0.000013488737,0.0000040131963,0.0000075527973,0.000109755194,0.0000021152698,0.0005890966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992329,0.000083873274,0.00012462125,0.00018560688,0.00023166723,0.00014134022],"domain_scores_gemma":[0.99656147,0.00075879804,0.0019253835,0.00013615246,0.0002988559,0.00031925502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008599017,0.00036158954,0.00040383055,0.001276843,0.0002687733,0.0007324685,0.0002282284,0.00035838914,0.0023215604],"category_scores_gemma":[0.004523901,0.00029877626,0.00034136808,0.0005242217,0.0005737235,0.0004643354,0.00042596113,0.00034479072,0.00045505725],"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":[0.00024913152,0.000076856966,0.9860898,0.000029489369,0.000021549384,0.00078514405,0.00266476,0.000032074793,0.003327602,0.000027541955,0.00007468794,0.006621357],"study_design_scores_gemma":[0.000007126715,0.00027483274,0.9964659,0.000005177789,0.00001022166,0.0019163066,0.0008215102,0.00003244923,0.00029448938,0.000017034386,0.00014791147,0.000007019686],"about_ca_topic_score_codex":0.002952303,"about_ca_topic_score_gemma":0.006710318,"teacher_disagreement_score":0.002952303,"about_ca_system_score_codex":0.00018029443,"about_ca_system_score_gemma":0.00019572675,"threshold_uncertainty_score":0.0077664256},"labels":[],"label_agreement":null},{"id":"W6986497541","doi":"","title":"Potential Growth and Inflation: Estimates for Australia, the US and Canada","year":2004,"lang":"en","type":"article","venue":"eCite Digital Repository (University of Tasmania)","topic":"Economic Growth and Productivity","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":"Government (linguistics); Population; Estimation; Work (physics)","score_opus":0.01180082437177561,"score_gpt":0.1592847087856774,"score_spread":0.1474838844139018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6986497541","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":[0.950023,0.0034145582,0.0014580559,0.0008664125,0.000027520104,0.00005736054,0.031662386,0.00017070022,0.012320102],"genre_scores_gemma":[0.9573806,0.0035251176,0.0022033246,0.000079738646,0.000016711325,0.00004731591,0.026327185,0.00006445521,0.010355666],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995555,0.000024717005,0.000026723517,0.000039761537,0.0002692308,0.000084128864],"domain_scores_gemma":[0.9978769,0.00017251236,0.00019774567,0.00005120694,0.0014056663,0.00029596096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081772514,0.00038303665,0.00047492626,0.0031066316,0.0009540979,0.0012314363,0.00060365646,0.00032645508,0.0011159393],"category_scores_gemma":[0.0029216395,0.00030264864,0.00078791176,0.009397694,0.0003406904,0.0006579232,0.0009259701,0.00083102204,0.00030789067],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004653713,0.00009682628,0.85134286,0.0004191195,0.0004818711,0.00027195356,0.0027201907,0.022436954,0.00057673384,0.006751681,0.043622576,0.07081387],"study_design_scores_gemma":[0.000016166772,0.00001701423,0.9800938,0.000040650353,0.00009746027,0.00006078359,0.0009509413,0.0064884536,0.0002451079,0.00027068838,0.011688521,0.000030469842],"about_ca_topic_score_codex":0.98898995,"about_ca_topic_score_gemma":0.99192965,"teacher_disagreement_score":0.012279247,"about_ca_system_score_codex":0.012279247,"about_ca_system_score_gemma":0.015279205,"threshold_uncertainty_score":0.08909255},"labels":[],"label_agreement":null},{"id":"W6987046102","doi":"","title":"Second Consecutive Quarter of Double Digit Growth in Constant Currency","year":2019,"lang":"en","type":"other","venue":"","topic":"Economic Growth and Productivity","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":"Constant (computer programming); Currency; Quarter (Canadian coin); Numerical digit; Variable (mathematics)","score_opus":0.023013977993710702,"score_gpt":0.20972152273346656,"score_spread":0.18670754473975587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987046102","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30980176,0.003916448,0.0023911318,0.017829211,0.013292646,0.00012260464,0.26614538,0.002226799,0.384274],"genre_scores_gemma":[0.45801526,0.002418432,0.00092666555,0.0037816989,0.0018955374,0.00011566381,0.16185226,0.00046659043,0.37052792],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996025,0.000029905388,0.000029296329,0.000062160136,0.00015508493,0.00012114652],"domain_scores_gemma":[0.9988423,0.00010415079,0.000248907,0.00010525084,0.00048618225,0.00021330669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044474672,0.0004922199,0.00030007976,0.0015275904,0.00048011186,0.0019746227,0.00037183924,0.00072226825,0.026944853],"category_scores_gemma":[0.002434609,0.00010539057,0.0002894502,0.001895541,0.0002941921,0.00066732406,0.0012588731,0.0011690279,0.015037862],"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":[0.0011609155,0.00019856187,0.07795449,0.00044299697,0.00007217261,0.0009140211,0.00033620774,0.001065439,0.0024053259,0.01664226,0.768385,0.13042276],"study_design_scores_gemma":[0.00005811726,0.00013917164,0.36433974,0.00017849519,0.00002929066,0.00078819634,0.0007238161,0.0012746608,0.0026417077,0.002832431,0.6269657,0.000028653812],"about_ca_topic_score_codex":0.020674987,"about_ca_topic_score_gemma":0.019653896,"teacher_disagreement_score":0.026944853,"about_ca_system_score_codex":0.0013269742,"about_ca_system_score_gemma":0.0012761451,"threshold_uncertainty_score":0.09013951},"labels":[],"label_agreement":null},{"id":"W6987242782","doi":"","title":"Social Policy Trends: Low Income Entry and Exit Rates","year":2023,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Economic Growth and Productivity","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 Calgary","funders":"","keywords":"Low income; Social policy; Social security; Public policy; Consumption (sociology)","score_opus":0.25904179028491603,"score_gpt":0.5021985036449241,"score_spread":0.2431567133600081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987242782","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":[0.9539078,0.0016422995,0.00015719929,0.009467474,0.00012645179,0.000018074357,0.016047759,0.000049925133,0.018583076],"genre_scores_gemma":[0.97748476,0.0013488792,0.00006074383,0.00058443326,0.00027334713,0.000015135685,0.0073853293,0.00003447313,0.012812934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995895,0.000052601965,0.0000356542,0.00005343216,0.00007862817,0.00019023166],"domain_scores_gemma":[0.9945938,0.00072967936,0.0025138753,0.000118637436,0.0006765862,0.0013674725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007262975,0.00015526223,0.00024822392,0.0023162651,0.00047933173,0.0019006288,0.00039878118,0.0010227516,0.014941054],"category_scores_gemma":[0.003599156,0.000119746015,0.0005179301,0.0035943796,0.000297917,0.0014962095,0.00076589896,0.0015144374,0.002385889],"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":[0.00020902824,0.00012587545,0.9715361,0.00009283307,0.00005279087,0.00011436415,0.00081791834,0.00014312967,0.00027106536,0.002677666,0.009583409,0.014375881],"study_design_scores_gemma":[0.000004199954,0.000029648281,0.9954016,0.000025778287,0.000011427902,0.000040351853,0.0008336802,0.00014084477,0.00005989803,0.00020975605,0.0032383844,0.0000044583185],"about_ca_topic_score_codex":0.02845518,"about_ca_topic_score_gemma":0.041368585,"teacher_disagreement_score":0.02845518,"about_ca_system_score_codex":0.0006991073,"about_ca_system_score_gemma":0.0010383109,"threshold_uncertainty_score":0.056579053},"labels":[],"label_agreement":null},{"id":"W6995991648","doi":"","title":"Public Policy and Growth in Canada: An Applied Endogeneous Growth Model with Human and Knowledge Capital Accumulation","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic Growth and Productivity","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":"Human capital; Public policy; Subsidy; Context (archaeology); Productivity; Public capital; Technological change; Government (linguistics); Investment (military)","score_opus":0.10036141469801117,"score_gpt":0.2304573506060638,"score_spread":0.13009593590805263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6995991648","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":[0.74727786,0.0039075916,0.06820579,0.032413274,0.0004080593,0.00045464147,0.011845337,0.0007397097,0.13474773],"genre_scores_gemma":[0.95213646,0.002289241,0.0066549242,0.00043412254,0.00007954547,0.00015386079,0.0013952326,0.00004738168,0.036809225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990403,0.00019252798,0.000023428303,0.00014923493,0.00014077267,0.0004537165],"domain_scores_gemma":[0.9974936,0.00088353,0.0003955523,0.000090300295,0.0007489296,0.00038816512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001645412,0.0013882833,0.0016801049,0.001997106,0.0030477145,0.00432697,0.00291065,0.003119175,0.006302058],"category_scores_gemma":[0.004508286,0.0005893947,0.0012748829,0.0031405047,0.0026080417,0.0013043166,0.0025027227,0.002326881,0.0005525344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002582556,0.0001703979,0.01846792,0.000095604795,0.00010196664,0.00051286985,0.0006171904,0.7436302,0.00051168125,0.21715015,0.00852064,0.009963034],"study_design_scores_gemma":[0.00021332942,0.00006740973,0.0074571846,0.000060106486,0.0001525235,0.000058395537,0.0008069189,0.9492872,0.00022932372,0.030562844,0.011007802,0.00009691082],"about_ca_topic_score_codex":0.9740559,"about_ca_topic_score_gemma":0.947882,"teacher_disagreement_score":0.04596035,"about_ca_system_score_codex":0.04596035,"about_ca_system_score_gemma":0.04129404,"threshold_uncertainty_score":0.33346725},"labels":[],"label_agreement":null},{"id":"W6998884043","doi":"","title":"The Anomalies Of The Wold-Juréen (1953) Functional Form In Overview","year":2023,"lang":"en","type":"other","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bishop's University","funders":"","keywords":"Functional approach; Functional analysis; Functional diversity; Functional encryption; Functional organization; Functional group; Functional dependency; Functional programming; Functional response; Functional theory","score_opus":0.03830574712872335,"score_gpt":0.19125962884929976,"score_spread":0.1529538817205764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6998884043","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":[0.075694464,0.0045350436,0.68045974,0.007231373,0.0004246044,0.00007859907,0.0007456269,0.00021757414,0.23061304],"genre_scores_gemma":[0.8565466,0.0031966933,0.0963715,0.00069320307,0.00023089025,0.00015721895,0.0003668123,0.00021390362,0.04222319],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99816763,0.0008113918,0.000110667075,0.00034069852,0.00043833462,0.00013117309],"domain_scores_gemma":[0.99826556,0.00093253463,0.00019344848,0.0002287708,0.00030538588,0.0000742637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026989318,0.00058410654,0.00040723133,0.0018850456,0.00077379664,0.0024096477,0.00073737797,0.0011572664,0.008112425],"category_scores_gemma":[0.009944448,0.00026118386,0.0007778202,0.0018941126,0.0035558005,0.0047264937,0.0014611224,0.0014926966,0.0012029874],"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":[0.0000073648343,0.0000030221358,0.00039621594,0.000025080359,0.0000032934877,0.000030339308,0.00009272086,0.0023153804,0.00011211246,0.98675644,0.001136883,0.009121093],"study_design_scores_gemma":[0.000005429638,0.0000135259925,0.0010141724,0.000043813892,0.0000054332327,0.00013765035,0.0001148252,0.011457613,0.0003724158,0.9533445,0.033470206,0.000020334877],"about_ca_topic_score_codex":0.004031727,"about_ca_topic_score_gemma":0.0020306634,"teacher_disagreement_score":0.008112425,"about_ca_system_score_codex":0.0021626018,"about_ca_system_score_gemma":0.0012460896,"threshold_uncertainty_score":0.02713877},"labels":[],"label_agreement":null},{"id":"W6999478627","doi":"","title":"Comparative Analysis of the Literature on Economic Growth in the Perspective of Advanced and Emerging Economies","year":2015,"lang":"en","type":"article","venue":"Journals & Books Hosting (International Knowledge Sharing Platform)","topic":"Economic Growth and Productivity","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":"Emerging markets; Revenue; Population; Per capita; Population ageing; Per capita income; Debt; Population growth; Order (exchange)","score_opus":0.06658275793048438,"score_gpt":0.3056973129485615,"score_spread":0.23911455501807713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6999478627","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13096538,0.6143341,0.004443857,0.02849855,0.0020056544,0.000034217723,0.0005635814,0.000028393419,0.21912624],"genre_scores_gemma":[0.5712357,0.41727948,0.0019909174,0.0017313322,0.0024203975,0.00004572112,0.0004916815,0.000026646218,0.004778099],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984725,0.00068220246,0.00011692621,0.00015254358,0.00042404872,0.00015175714],"domain_scores_gemma":[0.98527133,0.011469959,0.0008522027,0.0002195616,0.0019597735,0.00022708517],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0023844389,0.00040383576,0.00046766805,0.016204748,0.0013662584,0.0040627355,0.00049681764,0.0007462547,0.0040306435],"category_scores_gemma":[0.009008297,0.00011696517,0.0004505326,0.020365814,0.0017876897,0.004832133,0.0017375024,0.0011813319,0.00029500748],"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":[0.00012448276,0.00010062096,0.040456694,0.0067292657,0.00026134195,0.0019882342,0.01883629,0.0027303307,0.0004022379,0.5227132,0.026397398,0.37925994],"study_design_scores_gemma":[0.000011980038,0.00015007453,0.13203263,0.018498378,0.00028201868,0.0020355016,0.08376223,0.0031862354,0.0009246718,0.09968483,0.6593373,0.00009412872],"about_ca_topic_score_codex":0.0023569881,"about_ca_topic_score_gemma":0.0037953877,"teacher_disagreement_score":0.9837952,"about_ca_system_score_codex":0.001959869,"about_ca_system_score_gemma":0.002061505,"threshold_uncertainty_score":0.01421994},"labels":[],"label_agreement":null},{"id":"W7001605734","doi":"","title":"La performance cyclique des outils prévisionnels : le cas de la devise canadienne","year":2009,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"Economic Growth and Productivity","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":"Economic analysis; Productivity; Statistical analysis; Cost analysis","score_opus":0.009011757894204983,"score_gpt":0.1694460574113958,"score_spread":0.1604342995171908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001605734","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":[0.8202423,0.0049941964,0.042021297,0.0036868504,0.00017816061,0.00013661456,0.0011364056,0.00049827073,0.12710592],"genre_scores_gemma":[0.9816389,0.0008269503,0.0052167764,0.00007719327,0.000029799112,0.00004247661,0.00024083188,0.000097073724,0.011829994],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960343,0.001151552,0.00017233742,0.000810521,0.0013344836,0.00049686857],"domain_scores_gemma":[0.9846719,0.0071962085,0.0021636803,0.0016697732,0.003626238,0.0006721531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005562498,0.000776583,0.0007499858,0.0041381633,0.0019125483,0.0067133666,0.0012674767,0.0016275132,0.014045865],"category_scores_gemma":[0.025145225,0.00057581044,0.0008159551,0.005063831,0.0029979781,0.0032991674,0.0025141586,0.0015661608,0.002105667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000987133,0.00021960789,0.4192878,0.0005329873,0.00036337008,0.0018688347,0.024094973,0.04401342,0.003044148,0.18459402,0.006142335,0.31485143],"study_design_scores_gemma":[0.00010110462,0.0009935547,0.59546244,0.0009167644,0.00039895356,0.003047886,0.031834487,0.094082154,0.006752152,0.1387494,0.12716445,0.0004965967],"about_ca_topic_score_codex":0.061627723,"about_ca_topic_score_gemma":0.045098286,"teacher_disagreement_score":0.93837225,"about_ca_system_score_codex":0.003596971,"about_ca_system_score_gemma":0.002625622,"threshold_uncertainty_score":0.12253803},"labels":[],"label_agreement":null},{"id":"W7010447311","doi":"","title":"Income Distribution and Growth: A Global Model","year":2014,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","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":"Wage share; Wage growth; Wage; Distribution (mathematics); Income distribution","score_opus":0.028903905760049645,"score_gpt":0.26215907009571987,"score_spread":0.23325516433567023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010447311","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":[0.39627877,0.0049258317,0.30029652,0.025229951,0.00052479055,0.0002545481,0.0095169805,0.0011761007,0.26179653],"genre_scores_gemma":[0.91269696,0.003285035,0.010553395,0.00077105436,0.0002240948,0.00023040318,0.0025051814,0.00024781981,0.069485955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959356,0.00015711525,0.000011303368,0.00008170332,0.000043969296,0.0001123048],"domain_scores_gemma":[0.9991603,0.0003862978,0.00014276536,0.000059686932,0.00011627725,0.00013465725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013535242,0.0010755125,0.0010898239,0.0013766388,0.000823691,0.0033799165,0.0018571066,0.0022487158,0.018629402],"category_scores_gemma":[0.0027860976,0.0005387484,0.0013474815,0.002474795,0.0016493285,0.003264883,0.0023211574,0.0023113166,0.0038048394],"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":[0.00014512864,0.00012316061,0.01051516,0.00007838187,0.00009621534,0.00057559554,0.0004117831,0.54256797,0.00019576163,0.41051567,0.014164029,0.02061113],"study_design_scores_gemma":[0.0001635416,0.000082030776,0.0051046573,0.000085266554,0.0000705901,0.00032375896,0.0004919404,0.7103691,0.00007899446,0.26333752,0.019845849,0.000046822264],"about_ca_topic_score_codex":0.020685956,"about_ca_topic_score_gemma":0.009921559,"teacher_disagreement_score":0.020685956,"about_ca_system_score_codex":0.0020273149,"about_ca_system_score_gemma":0.0008674118,"threshold_uncertainty_score":0.062321544},"labels":[],"label_agreement":null},{"id":"W7010580143","doi":"","title":"Informatisation, productivité et emploi : des effets différenciés entre secteurs industriels selon le niveau technologique","year":2018,"lang":"fr","type":"article","venue":"Gallica (Bibliothèque nationale de France)","topic":"Economic Growth and Productivity","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":"Measure (data warehouse); Order (exchange); Term (time); Quarter (Canadian coin)","score_opus":0.01885854721142181,"score_gpt":0.22716397237634392,"score_spread":0.20830542516492212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010580143","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":[0.9968798,0.0008726519,0.00023611322,0.00021862074,0.0000087643575,0.0000043309124,0.00028804215,0.000018607378,0.0014729849],"genre_scores_gemma":[0.9976743,0.00030367117,0.00016454105,0.000043155494,0.000008846732,0.000007710167,0.0002492125,0.0000106323205,0.0015380685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985971,0.00072310254,0.000059465507,0.00025217884,0.00020506493,0.00016295156],"domain_scores_gemma":[0.96054286,0.033380903,0.0027685824,0.0009716211,0.001177604,0.0011584406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026120215,0.0003937279,0.00044447358,0.0007098595,0.00034030117,0.0024553395,0.0005291291,0.0012301526,0.0055361227],"category_scores_gemma":[0.013804269,0.00025928378,0.00095294364,0.0013159491,0.00073666684,0.001117384,0.00083955354,0.0011377026,0.0010385009],"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":[0.009011068,0.0008041326,0.91482705,0.0003293532,0.0019392364,0.00032719586,0.0036667136,0.006521691,0.004673885,0.0017134873,0.0010210105,0.055165283],"study_design_scores_gemma":[0.00009507812,0.00063239597,0.9901603,0.000054487977,0.00071759865,0.000096778036,0.0016925513,0.0023895458,0.0017704788,0.00072033994,0.001651535,0.000019030571],"about_ca_topic_score_codex":0.02340856,"about_ca_topic_score_gemma":0.01131233,"teacher_disagreement_score":0.02340856,"about_ca_system_score_codex":0.0010342598,"about_ca_system_score_gemma":0.0008537048,"threshold_uncertainty_score":0.04654461},"labels":[],"label_agreement":null},{"id":"W7016015551","doi":"","title":"U.S. economic growth slows less than expected in third quarter","year":2018,"lang":"en","type":"other","venue":"","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Work (physics); Economic indicator; Economic forecasting; Productivity","score_opus":0.021957708807228263,"score_gpt":0.2042227701118031,"score_spread":0.18226506130457482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7016015551","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022859244,0.007967639,0.0021425402,0.035903912,0.004605248,0.00007711368,0.09026895,0.003781464,0.832394],"genre_scores_gemma":[0.12721984,0.013805562,0.0014285607,0.00388734,0.0011665813,0.00016789761,0.0645978,0.0018394323,0.78588694],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994281,0.00004573454,0.000021257203,0.00007260023,0.00031276638,0.00011964689],"domain_scores_gemma":[0.99840814,0.0001760421,0.0002094309,0.00014782851,0.0008418739,0.00021670984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007701457,0.00068905513,0.00033799183,0.0017329463,0.0010706695,0.0044464013,0.0006767748,0.0010772896,0.11018186],"category_scores_gemma":[0.0056932177,0.00023350268,0.00033903454,0.0030582526,0.00042706355,0.0019601749,0.0015277271,0.0017343936,0.061614268],"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":[0.00004413575,0.000026196592,0.0040120925,0.00007361695,0.000005634746,0.000030539566,0.00005172536,0.00022256638,0.00007353374,0.008401093,0.93522507,0.05183381],"study_design_scores_gemma":[0.000020861686,0.000021632355,0.019314345,0.00028313225,0.0000090946,0.000068410205,0.0003227492,0.0005772879,0.00043555084,0.0037515922,0.9751831,0.000012272939],"about_ca_topic_score_codex":0.043297622,"about_ca_topic_score_gemma":0.06488618,"teacher_disagreement_score":0.11018186,"about_ca_system_score_codex":0.0018732233,"about_ca_system_score_gemma":0.0038150107,"threshold_uncertainty_score":0.36859506},"labels":[],"label_agreement":null},{"id":"W7017850663","doi":"","title":"A Closer Look at the Effect of Education on Income: Angrist-Krueger Reconsidered","year":2006,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Economic Growth and Productivity","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":"Endogeneity; Instrumental variable; Bayesian probability; Order (exchange); Estimation; Bayesian inference; Quarter (Canadian coin)","score_opus":0.012445972045409124,"score_gpt":0.21298958153125372,"score_spread":0.2005436094858446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7017850663","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11033059,0.07583748,0.10076136,0.5275062,0.0034823522,0.00007045541,0.00076191337,0.00015969749,0.18108994],"genre_scores_gemma":[0.8717149,0.040056657,0.015325604,0.04388055,0.00547973,0.000080580314,0.00016500926,0.00018106276,0.023115933],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9973936,0.0012516136,0.00012693701,0.00057041855,0.00046370606,0.0001936692],"domain_scores_gemma":[0.9743245,0.021309664,0.0012995687,0.0014324215,0.0012980662,0.0003356713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009695086,0.0005478635,0.0015889654,0.0028398253,0.001337147,0.0046830447,0.0019009192,0.0029090468,0.007609296],"category_scores_gemma":[0.025638288,0.0002795007,0.0010777423,0.0033576011,0.008900453,0.0108635845,0.0019885926,0.0074872505,0.00087833486],"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":[0.00004712252,0.00007189974,0.00476539,0.00008983594,0.000061336854,0.00017559761,0.0006345968,0.0018118317,0.000064523454,0.9606013,0.0052869003,0.02638974],"study_design_scores_gemma":[0.000018571938,0.000047554724,0.0032749015,0.00021793152,0.000038616836,0.00013138723,0.0006336652,0.0038216996,0.00019072513,0.9586058,0.032986306,0.000032823442],"about_ca_topic_score_codex":0.009174888,"about_ca_topic_score_gemma":0.0047982945,"teacher_disagreement_score":0.009695086,"about_ca_system_score_codex":0.0021807586,"about_ca_system_score_gemma":0.0012991299,"threshold_uncertainty_score":0.051273108},"labels":[],"label_agreement":null},{"id":"W7018558240","doi":"","title":"Economic Growth in Canada: A Quantitative Analysis","year":2023,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Economic Growth and Productivity","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":"Quantitative analysis (chemistry); Statistical analysis; Estimation; Qualitative analysis; Stability (learning theory)","score_opus":0.031062351083041687,"score_gpt":0.20602304215249778,"score_spread":0.1749606910694561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7018558240","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":[0.8870933,0.005954506,0.003691594,0.004403703,0.000051523377,0.00019259703,0.048638932,0.00023745709,0.049736436],"genre_scores_gemma":[0.9745341,0.0021991273,0.0017674225,0.00013848595,0.000018332512,0.00006894418,0.0078040343,0.00004639176,0.013423192],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990689,0.00010162768,0.000030051715,0.000072046736,0.00048446137,0.00024287547],"domain_scores_gemma":[0.9964277,0.00060866436,0.00021033484,0.000089125184,0.0022814653,0.00038266976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011183082,0.00038515727,0.00046749666,0.0053132335,0.002165901,0.002309163,0.0009974227,0.00042513703,0.004814441],"category_scores_gemma":[0.0048456397,0.00023893938,0.0006843934,0.013557239,0.00080878614,0.0007450428,0.0007640517,0.00072198204,0.0003111802],"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":[0.00046346142,0.00018382352,0.71638364,0.0004961787,0.0003955225,0.00040102872,0.0029768834,0.052588142,0.0006505938,0.086488076,0.043308917,0.09566376],"study_design_scores_gemma":[0.000029423134,0.000048410166,0.92336637,0.00010777777,0.000105979205,0.000087606335,0.0039972095,0.036663014,0.00037400256,0.0029731009,0.032185163,0.00006198193],"about_ca_topic_score_codex":0.9969572,"about_ca_topic_score_gemma":0.99730337,"teacher_disagreement_score":0.05373413,"about_ca_system_score_codex":0.05373413,"about_ca_system_score_gemma":0.058795948,"threshold_uncertainty_score":0.38987023},"labels":[],"label_agreement":null},{"id":"W7018664714","doi":"","title":"The Eastward Shift of Computer Hardware Production:&#13;\\nHow Ireland Adjusted (NIRSA) Working Paper Series. No.27","year":2005,"lang":"en","type":"book","venue":"Maynooth University ePrints and eTheses Archive (Maynooth University)","topic":"Economic Growth and Productivity","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":"Triad (sociology); Western europe; Component (thermodynamics); Chart; East Asia; Service (business); Core (optical fiber)","score_opus":0.022140983937278265,"score_gpt":0.1631838655597363,"score_spread":0.14104288162245804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7018664714","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":[0.22720139,0.009553105,0.004061448,0.021683065,0.0013751839,0.00009259455,0.035555065,0.0007673888,0.6997108],"genre_scores_gemma":[0.48609266,0.012798693,0.0033573075,0.0019965672,0.00038106952,0.000060639657,0.020338021,0.00063432986,0.47434068],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99956447,0.000024412026,0.00002645613,0.00009530499,0.0001867188,0.00010258282],"domain_scores_gemma":[0.99915206,0.00010652117,0.00019028828,0.000054309476,0.00039270284,0.00010408378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005097856,0.0003202195,0.00013829113,0.0014291669,0.0003278114,0.0033461193,0.00032326416,0.00029055864,0.014699594],"category_scores_gemma":[0.0016112599,0.00022226523,0.00023467177,0.0039277696,0.0006708506,0.0018956916,0.0008785404,0.0008904252,0.0043596323],"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":[0.00026792806,0.00007615914,0.07886154,0.00048696058,0.00003007452,0.0004129306,0.0025186143,0.0023331547,0.0015779998,0.060086615,0.46163222,0.39171582],"study_design_scores_gemma":[0.000011629924,0.000031346794,0.13415472,0.00008642507,0.000010646114,0.000118342396,0.0012146325,0.00033334596,0.0011844476,0.0013948326,0.8614408,0.00001883465],"about_ca_topic_score_codex":0.07364287,"about_ca_topic_score_gemma":0.101204835,"teacher_disagreement_score":0.07364287,"about_ca_system_score_codex":0.004563594,"about_ca_system_score_gemma":0.0037534304,"threshold_uncertainty_score":0.14642847},"labels":[],"label_agreement":null},{"id":"W7019219461","doi":"","title":"GDP Growth and the Interdependency of Volatility Spillovers","year":2012,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Volatility (finance); Spillover effect; Heteroscedasticity; Autoregressive model; Real gross domestic product; Interdependence; Autoregressive conditional heteroskedasticity; Multivariate statistics","score_opus":0.020939042620072807,"score_gpt":0.19456089171571161,"score_spread":0.1736218490956388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019219461","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":[0.992401,0.0004726039,0.0026621735,0.00042878522,0.000009924248,0.000007584162,0.00026087847,0.000037650545,0.0037192947],"genre_scores_gemma":[0.9993174,0.00020718481,0.00013050393,0.000009892711,0.000007033445,0.0000018135428,0.000119738535,0.0000034181028,0.00020296835],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947506,0.00015433619,0.000036825477,0.00010244264,0.00010706849,0.00012430282],"domain_scores_gemma":[0.99341714,0.003354556,0.0020013945,0.00044801817,0.0005524281,0.00022650692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012222141,0.0002706907,0.00039499204,0.0014867046,0.0002843707,0.0014830416,0.00018898332,0.00038759786,0.0018233914],"category_scores_gemma":[0.008487442,0.00028111166,0.00047472803,0.0014679933,0.000732974,0.0011394,0.0013818502,0.00086374197,0.00022473949],"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":[0.000234464,0.00010376096,0.8600398,0.00007671179,0.00052851386,0.0007807432,0.00086863036,0.06049317,0.0025201438,0.04217602,0.0011584626,0.031019665],"study_design_scores_gemma":[0.000021212874,0.00007434105,0.9052179,0.00006596655,0.00022575958,0.00029483464,0.00052530115,0.06920334,0.0017417356,0.020328585,0.002239692,0.0000614121],"about_ca_topic_score_codex":0.011654351,"about_ca_topic_score_gemma":0.009386873,"teacher_disagreement_score":0.011654351,"about_ca_system_score_codex":0.00077096804,"about_ca_system_score_gemma":0.00060830376,"threshold_uncertainty_score":0.023173034},"labels":[],"label_agreement":null},{"id":"W7020406732","doi":"","title":"La prédiction du changement directionnel de la croissance du PIB du Québec à plusieurs horizons","year":2025,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Economic Growth and Productivity","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":"Stream flow; Homogeneous; Statistical analysis","score_opus":0.007040603248137971,"score_gpt":0.1687227876773496,"score_spread":0.16168218442921165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7020406732","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":[0.9074773,0.0019313951,0.06838868,0.0024337086,0.0001439676,0.000113745,0.009486012,0.00073185953,0.009293315],"genre_scores_gemma":[0.96636033,0.00062307186,0.01709934,0.00013404073,0.000029241039,0.00005229115,0.0064434027,0.00007213144,0.009186149],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953437,0.000115741954,0.00001965326,0.0001486648,0.00010393224,0.00007766332],"domain_scores_gemma":[0.996648,0.001429072,0.00025987052,0.00024011277,0.0012365258,0.00018632923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022831932,0.00063417683,0.0004613683,0.0011779183,0.00074861414,0.0017827046,0.0008514601,0.000702707,0.0040300884],"category_scores_gemma":[0.0072581726,0.00036318184,0.00078540994,0.0015159452,0.0004089366,0.0008227121,0.0005668676,0.0015229812,0.0006495001],"study_design_candidate":"simulation_or_modeling","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":[0.00037748748,0.00008681623,0.43830577,0.00018610757,0.00042307324,0.00013762857,0.0005514853,0.41947353,0.0017195576,0.004409319,0.0083432,0.12598604],"study_design_scores_gemma":[0.000029338755,0.0000648721,0.18921779,0.00010337153,0.0000889819,0.000030227342,0.00058961177,0.7995236,0.0013096011,0.0018234036,0.0071650846,0.000054115902],"about_ca_topic_score_codex":0.90694696,"about_ca_topic_score_gemma":0.89811856,"teacher_disagreement_score":0.09305304,"about_ca_system_score_codex":0.0059138574,"about_ca_system_score_gemma":0.008157534,"threshold_uncertainty_score":0.18720204},"labels":[],"label_agreement":null},{"id":"W7020507161","doi":"","title":"Live at WFMU on Dark Night of the Soul with Julie November 29, 2011","year":2011,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Economic Growth and Productivity","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":"Soul; George (robot); Performance art; Hollywood; Key (lock)","score_opus":0.010112861238849536,"score_gpt":0.15355118759745248,"score_spread":0.14343832635860296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7020507161","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008547406,0.00064845866,0.00044775812,0.0064464626,0.0039998754,0.00007246925,0.0049659107,0.0013432839,0.9812211],"genre_scores_gemma":[0.0010058178,0.00014699648,0.000118908945,0.00048066064,0.00013330234,0.000011776276,0.00063078664,0.00024038028,0.9972314],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997136,0.000018919074,0.00000467417,0.00003085635,0.000118381315,0.00011360737],"domain_scores_gemma":[0.9991954,0.000031913118,0.000020246249,0.000046450055,0.00027082802,0.00043511562],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004763383,0.00057818374,0.00029617868,0.0008046424,0.004590511,0.003576489,0.0005910517,0.0012609961,0.6469808],"category_scores_gemma":[0.0016470678,0.0002324088,0.00025795525,0.0006748446,0.000470266,0.0019580547,0.0028022432,0.0019838128,0.45334798],"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":[0.000011731561,0.000004398312,0.000059668928,0.0000096043605,4.0977991e-7,0.000027529695,0.000055910048,0.0000046521177,0.00004152913,0.00041428796,0.9897153,0.009654994],"study_design_scores_gemma":[0.0000013236502,0.0000025035624,0.00027700182,0.00001865099,2.8394945e-7,0.000010447141,0.00012893962,0.000006073295,0.000032135606,0.00009352517,0.99942696,0.0000022047998],"about_ca_topic_score_codex":0.03931691,"about_ca_topic_score_gemma":0.2349306,"teacher_disagreement_score":0.35301918,"about_ca_system_score_codex":0.0015134634,"about_ca_system_score_gemma":0.0018052162,"threshold_uncertainty_score":0.50353897},"labels":[],"label_agreement":null},{"id":"W7024092047","doi":"","title":"Quarterly report on the Spanish economy : [third quarter 2017]","year":2017,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Economic forecasting; Work (physics); Government (linguistics)","score_opus":0.034387712823042677,"score_gpt":0.2334502506011091,"score_spread":0.19906253777806643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024092047","genre_codex":"dataset","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":[0.0069322702,0.015080197,0.00065664883,0.009396946,0.012564697,0.00016333516,0.885322,0.00071766245,0.0691662],"genre_scores_gemma":[0.027195103,0.026112406,0.0014930542,0.0013508691,0.0029022815,0.0005603563,0.75807077,0.00068896817,0.18162617],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99885726,0.000086944405,0.00012840128,0.00009740199,0.00062975497,0.00020031541],"domain_scores_gemma":[0.99553937,0.00021075443,0.0003216997,0.0001854853,0.0034972753,0.00024530056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015368813,0.0013962255,0.0013522634,0.0059078173,0.0005279326,0.0035511137,0.0010512487,0.001588275,0.026698388],"category_scores_gemma":[0.0050037517,0.00038303135,0.000711022,0.012878712,0.00025889152,0.0017275721,0.0014711224,0.0020337095,0.024891378],"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":[0.00007031947,0.00003435681,0.0030880433,0.00027668636,0.000029591813,0.000034999972,0.000032024924,0.00021482387,0.00006142429,0.0015816753,0.9815594,0.013016575],"study_design_scores_gemma":[0.00006110624,0.000021687705,0.054872107,0.00042535987,0.000050016122,0.000037995145,0.00022082948,0.0002164257,0.0004051281,0.0009462341,0.94271374,0.00002937177],"about_ca_topic_score_codex":0.1645887,"about_ca_topic_score_gemma":0.11510638,"teacher_disagreement_score":0.1645887,"about_ca_system_score_codex":0.004223614,"about_ca_system_score_gemma":0.011510363,"threshold_uncertainty_score":0.32726133},"labels":[],"label_agreement":null},{"id":"W7025297042","doi":"","title":"U.S. productivity posts sharpest fall in a year","year":2017,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Economic Growth and Productivity","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":"Fell; Productivity; Quarter (Canadian coin); Work (physics); Work hours","score_opus":0.02323986599117213,"score_gpt":0.2227842158163772,"score_spread":0.19954434982520508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7025297042","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009368587,0.005135442,0.00076738815,0.030751998,0.0063057994,0.00007888102,0.11241177,0.0034980401,0.831682],"genre_scores_gemma":[0.08425325,0.012027721,0.0009598905,0.0055953143,0.002882609,0.0001447572,0.082118705,0.0014206659,0.81059706],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989312,0.00004642232,0.000040690902,0.00010840833,0.0006662233,0.0002069612],"domain_scores_gemma":[0.99840075,0.000110951114,0.00017206583,0.00011673865,0.0008956192,0.00030386128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073333347,0.0009827,0.00048530128,0.0035460652,0.002446889,0.0063601187,0.00068234873,0.0014764203,0.11472223],"category_scores_gemma":[0.0039226674,0.00030507977,0.00039933182,0.006166051,0.00085066375,0.0027937135,0.0021048577,0.0026882195,0.08547018],"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":[0.000018884604,0.000022922486,0.0015627948,0.000035132176,0.000002779909,0.000024770536,0.000038808157,0.00005598809,0.000045299475,0.0032249433,0.9676312,0.027336467],"study_design_scores_gemma":[0.00001304179,0.000021482721,0.0142131215,0.000105133025,0.0000055338714,0.000052838954,0.00028740798,0.00013837621,0.00041054393,0.001927654,0.9828126,0.0000123429145],"about_ca_topic_score_codex":0.07093659,"about_ca_topic_score_gemma":0.06618762,"teacher_disagreement_score":0.11472223,"about_ca_system_score_codex":0.0036775987,"about_ca_system_score_gemma":0.005430432,"threshold_uncertainty_score":0.38378406},"labels":[],"label_agreement":null},{"id":"W7027382740","doi":"","title":"Clubes de convergência de renda na América: uma abordagem através de painel dinâmico não-linear com variável limiar","year":2013,"lang":"en","type":"article","venue":"Americanae (AECID Library)","topic":"Economic Growth and Productivity","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":"Convergence (economics); Absolute convergence; Sample (material); Conditional convergence; Panel data; Autoregressive model","score_opus":0.016207828830473104,"score_gpt":0.1949954654687394,"score_spread":0.17878763663826627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7027382740","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":[0.87210816,0.0016395225,0.06474799,0.0021435572,0.00007752296,0.00013967753,0.0006037693,0.0005925422,0.05794713],"genre_scores_gemma":[0.9841415,0.00042484203,0.011522375,0.00005267689,0.000032837936,0.000054724336,0.00019755727,0.000047997444,0.0035254501],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99691963,0.0018776436,0.000080047146,0.00046144062,0.00045154043,0.00020970542],"domain_scores_gemma":[0.9921516,0.0048433654,0.0008189681,0.0009717059,0.0009212179,0.00029316935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055965157,0.0003142366,0.00067718554,0.002214032,0.0013543862,0.003710454,0.0012864433,0.0006188909,0.0066724033],"category_scores_gemma":[0.016627768,0.00033470942,0.00097573013,0.0028736426,0.0016809378,0.0028771032,0.0020299358,0.0012306366,0.0004921755],"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":[0.0009078733,0.00038422056,0.37466806,0.00052792806,0.0004617432,0.0017907332,0.016536236,0.047036286,0.0014298238,0.25875694,0.0059446483,0.29155558],"study_design_scores_gemma":[0.00021732089,0.0006580004,0.22056669,0.00073211174,0.0008751486,0.0013155094,0.033849955,0.5035492,0.0033023749,0.17396656,0.06076167,0.00020545351],"about_ca_topic_score_codex":0.025791388,"about_ca_topic_score_gemma":0.027117303,"teacher_disagreement_score":0.025791388,"about_ca_system_score_codex":0.002073505,"about_ca_system_score_gemma":0.0014905412,"threshold_uncertainty_score":0.051282525},"labels":[],"label_agreement":null},{"id":"W7028107138","doi":"","title":"The evolution of tech in Ontario: Three leading sectors as proof of growth and development","year":2024,"lang":"en","type":"other","venue":"","topic":"Economic Growth and Productivity","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":"Development (topology); High tech; Proof of concept; Process (computing)","score_opus":0.02359956464932959,"score_gpt":0.19750110120209885,"score_spread":0.17390153655276927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028107138","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21035868,0.003879019,0.0015182614,0.04227726,0.0004673968,0.00021415562,0.019590799,0.00027181522,0.72142255],"genre_scores_gemma":[0.42335498,0.002572632,0.0018179007,0.0016548433,0.00008449279,0.00005943836,0.0024079136,0.00019885381,0.567849],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986217,0.0000875032,0.000032821903,0.000060312606,0.0006376237,0.0005600525],"domain_scores_gemma":[0.99589396,0.00036675495,0.00030150433,0.00019903434,0.0020395115,0.0011992654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000805978,0.000250649,0.00017974585,0.0015690506,0.00566117,0.004189777,0.00073743315,0.0012379427,0.020441005],"category_scores_gemma":[0.003742518,0.0002468798,0.0003029763,0.0038808396,0.002181531,0.0013575623,0.0022597408,0.0009697639,0.0016933461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005470836,0.00011595199,0.15854666,0.00072735077,0.000052946132,0.0016305066,0.014626685,0.0021659741,0.0025536702,0.19730176,0.41757736,0.20415401],"study_design_scores_gemma":[0.000023099976,0.00003057688,0.29500282,0.00016456566,0.000021989492,0.0001595804,0.011471276,0.0011435106,0.0010223378,0.0068893842,0.6840181,0.000052735864],"about_ca_topic_score_codex":0.99348044,"about_ca_topic_score_gemma":0.99846363,"teacher_disagreement_score":0.08810259,"about_ca_system_score_codex":0.08810259,"about_ca_system_score_gemma":0.14705208,"threshold_uncertainty_score":0.63923204},"labels":[],"label_agreement":null},{"id":"W7030267949","doi":"","title":"National Transfer Accounts : a new way to look at population change and economic growth","year":2011,"lang":"en","type":"article","venue":"ScholarSpace (University of Hawaii at Manoa)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Consortium pour la recherche économique en Afrique; European Science Foundation; Nihon University; International Development Research Centre; United Nations Population Fund; John D. and Catherine T. MacArthur Foundation","keywords":"Population; National accounts; Population growth; National Income and Product Accounts; Transfer (computing)","score_opus":0.061969234402451355,"score_gpt":0.19126205065017002,"score_spread":0.12929281624771866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7030267949","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":[0.013325765,0.018103257,0.055438522,0.199788,0.015428725,0.00012982509,0.054748558,0.003430005,0.63960725],"genre_scores_gemma":[0.40470365,0.06239941,0.09965605,0.025719877,0.01722997,0.0012447595,0.044110615,0.0038052718,0.34113038],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999416,0.00020174743,0.000042037005,0.00006073012,0.00021691287,0.00006249826],"domain_scores_gemma":[0.9974457,0.00085799606,0.0002895031,0.0003626272,0.0007271382,0.00031710241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013284499,0.00066419184,0.00045285362,0.006169094,0.0016519717,0.006235394,0.00091993884,0.0018559254,0.049969953],"category_scores_gemma":[0.008435387,0.00027154371,0.000418639,0.01284149,0.0009039018,0.020774495,0.0019583195,0.0035360795,0.0052165166],"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":[0.000024386489,0.0000249115,0.003494421,0.0000772691,0.000019274401,0.000034810182,0.0004673988,0.00042136258,0.00005077348,0.29658622,0.62019074,0.0786085],"study_design_scores_gemma":[0.0000072477214,0.000009545367,0.004249903,0.0001512783,0.000016245162,0.000065527835,0.0009074145,0.0012773138,0.00014178346,0.1081923,0.88495135,0.000029906734],"about_ca_topic_score_codex":0.021623699,"about_ca_topic_score_gemma":0.033284932,"teacher_disagreement_score":0.049969953,"about_ca_system_score_codex":0.0021286772,"about_ca_system_score_gemma":0.0023284946,"threshold_uncertainty_score":0.16716617},"labels":[],"label_agreement":null},{"id":"W7035451609","doi":"","title":"لقاء ينظمه مكتب البعثات الدراسية التابع لنائب رئيس الجامعة للشئون الأكاديمية بالتعاون مع سفارة كندا بدولة قطر بعنوان (الدراسة في كندا Studying in Canada) لأعضاء هيئة التدريس بالجامعة وقد قدمت العرض الأستاذة / كارين كالدويل (كندا) الخبيرة في مجال التعليم والتدريب وذلك بحضور السيد / جاري لوتون ـ سفير كندا بدولة قطر","year":2024,"lang":"ar","type":"other","venue":"Qatar University QSpace (Qatar University)","topic":"Economic Growth and Productivity","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":"Identification (biology); Work (physics); Process (computing); Context (archaeology)","score_opus":0.019408757623364,"score_gpt":0.1495054692678084,"score_spread":0.1300967116444444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7035451609","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031200945,0.0021590407,0.010089453,0.017263226,0.0020093673,0.00018127577,0.0012440054,0.00062323146,0.9352295],"genre_scores_gemma":[0.12285591,0.003696469,0.01786793,0.0029685209,0.0016070415,0.0004517038,0.0019198125,0.0008133224,0.8478192],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983121,0.00032012345,0.00010515635,0.00015842046,0.0009329099,0.00017125595],"domain_scores_gemma":[0.9952232,0.0013595168,0.0006333094,0.00040267612,0.0019387752,0.00044249222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021641757,0.0005525624,0.00029111185,0.0013219783,0.0019365203,0.005566846,0.0005614375,0.0009594164,0.18242875],"category_scores_gemma":[0.0071935086,0.00029579352,0.00022614676,0.002268564,0.002108023,0.001330934,0.0014491956,0.0028306218,0.07989329],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000391945,0.00030686407,0.008616005,0.0009040067,0.000034040968,0.00096662855,0.009066777,0.0008059487,0.011746165,0.18617791,0.21897113,0.5620126],"study_design_scores_gemma":[0.000030105519,0.000081122744,0.023053484,0.00039340227,0.00001802125,0.0006170137,0.007665539,0.0003979961,0.0066061257,0.026934182,0.93415904,0.000044006432],"about_ca_topic_score_codex":0.009039592,"about_ca_topic_score_gemma":0.01158084,"teacher_disagreement_score":0.9909604,"about_ca_system_score_codex":0.0030330876,"about_ca_system_score_gemma":0.0043107998,"threshold_uncertainty_score":0.6102849},"labels":[],"label_agreement":null},{"id":"W7042698861","doi":"","title":"Quarterly report on the Spanish economy : [fourth quarter 2017]","year":2017,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Economic forecasting; Work (physics); Government (linguistics)","score_opus":0.034220213271952016,"score_gpt":0.23233619054860938,"score_spread":0.19811597727665736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7042698861","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007124698,0.014308032,0.00064967043,0.009235709,0.012513426,0.00016000817,0.8883946,0.0007237161,0.06689014],"genre_scores_gemma":[0.02627106,0.024490254,0.0015073316,0.0012110572,0.0028603363,0.000563247,0.7564786,0.0006686135,0.18594952],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988519,0.00009131671,0.00012993113,0.00009827303,0.0006285747,0.00020006634],"domain_scores_gemma":[0.9955035,0.0002118677,0.00033136198,0.00019254288,0.0035138412,0.00024700063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015487425,0.0014527162,0.0013653972,0.006144137,0.0005234291,0.003522806,0.0010695308,0.0015767028,0.02770394],"category_scores_gemma":[0.005178327,0.00040261477,0.0006962791,0.012693358,0.0002587045,0.0017779091,0.0015292873,0.0020193972,0.025115635],"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":[0.000072845236,0.00003593782,0.0031987673,0.00028483802,0.000030509897,0.000035410936,0.000032505195,0.00023149991,0.000063646454,0.0015881642,0.98119307,0.013232709],"study_design_scores_gemma":[0.00006245099,0.000022811177,0.053879827,0.0004186866,0.000049125985,0.00003736303,0.00021455507,0.0002206258,0.00040605696,0.00094906945,0.9437099,0.0000296335],"about_ca_topic_score_codex":0.155135,"about_ca_topic_score_gemma":0.10652335,"teacher_disagreement_score":0.155135,"about_ca_system_score_codex":0.0041737687,"about_ca_system_score_gemma":0.010940382,"threshold_uncertainty_score":0.30846405},"labels":[],"label_agreement":null},{"id":"W7042814031","doi":"","title":"Prévision de l'activité économique en temps de crise au Québec et au Canada","year":2022,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Economic Growth and Productivity","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":"Context (archaeology); Power (physics); Medium term","score_opus":0.01115858936655202,"score_gpt":0.1731225821898806,"score_spread":0.1619639928233286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7042814031","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":[0.88981444,0.004678903,0.023406586,0.00813132,0.0001689057,0.00012556389,0.028804852,0.0004199651,0.044449504],"genre_scores_gemma":[0.9648022,0.00097620225,0.0032801672,0.00021414665,0.000022100707,0.000029034214,0.0040958533,0.000051897478,0.026528452],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994512,0.00009901932,0.000017592802,0.00014028461,0.00012876726,0.0001630684],"domain_scores_gemma":[0.99706846,0.00086830795,0.00034768955,0.00016268196,0.0012377024,0.00031522347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014160824,0.00041096783,0.00050936354,0.0016029082,0.0012088122,0.0026027581,0.0012843375,0.0006438638,0.011098642],"category_scores_gemma":[0.005920255,0.00023742714,0.000685559,0.0025573946,0.00061699806,0.0007445091,0.0007587026,0.0011780328,0.00061336544],"study_design_candidate":"simulation_or_modeling","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":[0.0005038264,0.00010675719,0.7174254,0.00025436585,0.00058706943,0.0002821535,0.0020232492,0.1021367,0.0007537865,0.034923244,0.03200906,0.10899442],"study_design_scores_gemma":[0.00006176814,0.000099855104,0.6972919,0.00032126208,0.0003396898,0.00008846065,0.0034884198,0.22880065,0.0013588701,0.008264979,0.059739444,0.00014461635],"about_ca_topic_score_codex":0.9930928,"about_ca_topic_score_gemma":0.993212,"teacher_disagreement_score":0.027434485,"about_ca_system_score_codex":0.027434485,"about_ca_system_score_gemma":0.02451387,"threshold_uncertainty_score":0.19905204},"labels":[],"label_agreement":null},{"id":"W7043011358","doi":"","title":"Reexaminando la hipótesis de convergencia a la economía líder regional en México: un análisis de cointegración en panel","year":2015,"lang":"en","type":"article","venue":"Redalyc (Universidad Autónoma del Estado de México)","topic":"Economic Growth and Productivity","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":"Panel data; Order (exchange); Convergence (economics); Period (music); Quarter (Canadian coin); Latin Americans","score_opus":0.034708506698720026,"score_gpt":0.22133171964148524,"score_spread":0.1866232129427652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7043011358","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":[0.9752289,0.002681379,0.006177603,0.0005072586,0.000032318057,0.000038935646,0.00074934965,0.000048239217,0.014536113],"genre_scores_gemma":[0.9943785,0.0013810665,0.0016383938,0.00006390812,0.000074291194,0.00003704596,0.0007438829,0.000015544992,0.0016672822],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897563,0.00046359282,0.0000540787,0.00021078099,0.00018959012,0.000106316045],"domain_scores_gemma":[0.9945281,0.003685371,0.00096666964,0.00031288376,0.0004222211,0.00008468136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003652709,0.00031222412,0.000601401,0.0030673177,0.00042441927,0.002116665,0.00030731532,0.00030649718,0.0031779064],"category_scores_gemma":[0.0093800295,0.00010527487,0.00072981726,0.0026187631,0.0006439363,0.0012254197,0.000973369,0.00069613016,0.00018354887],"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":[0.00028795985,0.00006647279,0.9140047,0.0002982228,0.0010899937,0.0005403166,0.0038496482,0.0051466078,0.0007540782,0.01918453,0.0013801575,0.05339727],"study_design_scores_gemma":[0.000039974486,0.00023302584,0.94975686,0.00035411146,0.0010871328,0.00025344602,0.007324834,0.01418019,0.0011911464,0.004767718,0.020783465,0.000028023715],"about_ca_topic_score_codex":0.0345836,"about_ca_topic_score_gemma":0.022380166,"teacher_disagreement_score":0.0345836,"about_ca_system_score_codex":0.0007252763,"about_ca_system_score_gemma":0.0006747115,"threshold_uncertainty_score":0.06876463},"labels":[],"label_agreement":null},{"id":"W7044089568","doi":"","title":"Wipro Records 24% YoY Growth in Net Income in the quarter - Seeking Alpha","year":2012,"lang":"en","type":"other","venue":"","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Alpha (finance); Net income; Alpha ketoglutarate","score_opus":0.026503567450389353,"score_gpt":0.20841185466410314,"score_spread":0.1819082872137138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7044089568","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14199048,0.001282733,0.001506105,0.00353156,0.0011642046,0.00012604619,0.6212403,0.002609501,0.2265491],"genre_scores_gemma":[0.17479682,0.0020000655,0.0013337357,0.00073219347,0.00077163975,0.000206688,0.47395787,0.0009872675,0.3452136],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994692,0.000029629911,0.000029070567,0.000066589535,0.0002777945,0.00012760771],"domain_scores_gemma":[0.99747723,0.00019016034,0.00080287736,0.00017695302,0.0010771068,0.00027575073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048360633,0.00060973334,0.00033141888,0.0034499837,0.00042412765,0.0013468985,0.000512982,0.00048021917,0.02072545],"category_scores_gemma":[0.0038058462,0.0003059014,0.00037167978,0.0041471752,0.00016988812,0.0008765065,0.00092868257,0.0012115141,0.016728334],"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":[0.00041898538,0.00011258565,0.06884186,0.000287109,0.000049555572,0.00016977714,0.00017081328,0.0005985244,0.00058695715,0.002536586,0.8637036,0.06252362],"study_design_scores_gemma":[0.00004266715,0.000086291664,0.375616,0.00013068842,0.000027475278,0.00022441347,0.00034034383,0.0012769676,0.0018215955,0.0005146243,0.6198924,0.000026417049],"about_ca_topic_score_codex":0.03542487,"about_ca_topic_score_gemma":0.037930872,"teacher_disagreement_score":0.03542487,"about_ca_system_score_codex":0.00082121213,"about_ca_system_score_gemma":0.0011213495,"threshold_uncertainty_score":0.07043731},"labels":[],"label_agreement":null},{"id":"W7071145851","doi":"","title":"The Role of Human Capital in Agriculture Development in Canada","year":2022,"lang":"en","type":"article","venue":"University of Jember Repository (Universitas Jember)","topic":"Economic Growth and Productivity","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":"Agriculture; Human capital; Estimation; Instrumental variable; Econometric model; Variable (mathematics)","score_opus":0.00554003544057483,"score_gpt":0.1291063658984801,"score_spread":0.12356633045790527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071145851","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":[0.9122924,0.0032093,0.0005890333,0.0058591804,0.000063890955,0.00005219554,0.003125823,0.00005835842,0.074749924],"genre_scores_gemma":[0.99097484,0.0008638601,0.00019303783,0.000114220056,0.000005661995,0.0000040287823,0.0003425852,0.0000040069913,0.0074978247],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990238,0.0000679414,0.00002033239,0.00008034663,0.00028492205,0.0005226653],"domain_scores_gemma":[0.99763,0.00021436112,0.00026455906,0.000056005203,0.00092803675,0.0009070326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005209918,0.0001907626,0.00023378494,0.0015759704,0.0028897445,0.0028451774,0.00057093357,0.00024107737,0.0047049304],"category_scores_gemma":[0.0024965354,0.00011598789,0.00025537162,0.0033810716,0.0013668259,0.00048673255,0.0011506721,0.0005671143,0.00021899163],"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":[0.0001768036,0.00010503668,0.84375536,0.00020128948,0.00014493472,0.00091568887,0.004608571,0.004977012,0.00095660513,0.03176781,0.013640968,0.09875008],"study_design_scores_gemma":[0.000011889009,0.000027039794,0.95670617,0.00011819579,0.0000449806,0.00006901279,0.005688047,0.0020250434,0.00035966726,0.0012803271,0.033641335,0.000028281684],"about_ca_topic_score_codex":0.99577063,"about_ca_topic_score_gemma":0.9974444,"teacher_disagreement_score":0.05800875,"about_ca_system_score_codex":0.05800875,"about_ca_system_score_gemma":0.0875939,"threshold_uncertainty_score":0.42088485},"labels":[],"label_agreement":null},{"id":"W7071611579","doi":"","title":"Takeda Reinforces Long-term Growth Through Pipeline Advancement and Two Targeted Acquisitions; Delivers Another Strong Quarter i","year":2023,"lang":"en","type":"other","venue":"","topic":"Economic Growth and Productivity","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":"Pipeline (software); Quarter (Canadian coin); Gloom; Work (physics); Pipeline transport","score_opus":0.02714401762826593,"score_gpt":0.23741119176938288,"score_spread":0.21026717414111695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071611579","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.102646105,0.0010725511,0.0041341763,0.023430822,0.0014356948,0.000098392185,0.0010686285,0.0014892843,0.8646244],"genre_scores_gemma":[0.4228022,0.0007220411,0.0028907135,0.004360757,0.0005189829,0.000057002486,0.000748469,0.00029966843,0.5676002],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994655,0.000060096703,0.000012451169,0.000063413536,0.00024531907,0.0001532013],"domain_scores_gemma":[0.9980172,0.00017763297,0.0002455736,0.00018385635,0.00067208125,0.0007037228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009269127,0.00043964866,0.00017268036,0.0006533786,0.00095912715,0.0029635136,0.00038123663,0.0010829015,0.052369382],"category_scores_gemma":[0.0021653282,0.0001272591,0.0002817841,0.00041905168,0.000432925,0.0012264596,0.0017355673,0.0011708612,0.010557032],"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":[0.00049231114,0.0010025392,0.017076628,0.00018619158,0.000056818106,0.00047503354,0.00050736265,0.0006630728,0.009777015,0.06293195,0.4882507,0.41858032],"study_design_scores_gemma":[0.00013125835,0.00077393954,0.057827063,0.00012645233,0.000058010828,0.00032014403,0.0011795318,0.0019153873,0.012284243,0.012463651,0.9128701,0.00005031692],"about_ca_topic_score_codex":0.006495503,"about_ca_topic_score_gemma":0.023366408,"teacher_disagreement_score":0.052369382,"about_ca_system_score_codex":0.0016086869,"about_ca_system_score_gemma":0.003073093,"threshold_uncertainty_score":0.17519307},"labels":[],"label_agreement":null},{"id":"W7084068950","doi":"10.6084/m9.figshare.30039084","title":"Additional file 3 of The metabolic signature of salt intake: a cross-sectional analysis from the SCAPIS-study","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Signature (topology); Salt (chemistry); Identification (biology); Statistical analysis","score_opus":0.027067622244318516,"score_gpt":0.22795152105103358,"score_spread":0.20088389880671506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084068950","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006908921,0.00003683809,0.00020044144,0.000062238876,0.000020265557,0.000076038654,0.99818546,0.000116019,0.00061181025],"genre_scores_gemma":[0.031173797,0.00032018183,0.0044569075,0.00075546955,0.00021948673,0.003766576,0.9438406,0.0008650275,0.014601838],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9990557,0.0002055061,0.00019174612,0.00026313346,0.00013605347,0.00014790309],"domain_scores_gemma":[0.9796109,0.0152236,0.0018141259,0.0011961128,0.0015822002,0.000572977],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001711542,0.001259696,0.0018733114,0.0024687543,0.0009449264,0.0019616045,0.002312205,0.0014592258,0.81280535],"category_scores_gemma":[0.03209317,0.0008638346,0.0017643959,0.0044116504,0.0003346054,0.0017502893,0.0013494677,0.00093580835,0.12676267],"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":[0.0012316473,0.00025338752,0.025886457,0.006444465,0.00054429955,0.0002223234,0.00023456875,0.00082367565,0.00012263798,0.0011393178,0.94866776,0.014429554],"study_design_scores_gemma":[0.014846256,0.0010593977,0.35183558,0.008543927,0.001902472,0.0022695302,0.0019407832,0.0032463882,0.0008107728,0.017559383,0.5954654,0.00052012573],"about_ca_topic_score_codex":0.014039357,"about_ca_topic_score_gemma":0.017436838,"teacher_disagreement_score":0.81280535,"about_ca_system_score_codex":0.00076259905,"about_ca_system_score_gemma":0.0015983818,"threshold_uncertainty_score":0.26701045},"labels":[],"label_agreement":null},{"id":"W7085676733","doi":"10.5281/zenodo.17294586","title":"ZeroW & CHORIZO Final event presentations","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation Cluster (Canada)","funders":"European Commission","keywords":"Event (particle physics); Context (archaeology); Unexpected events; Joint (building)","score_opus":0.05679939158587539,"score_gpt":0.24811148764947955,"score_spread":0.19131209606360416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7085676733","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010055837,0.004278963,0.008827757,0.02762801,0.118397996,0.0008990697,0.018065844,0.004578098,0.8072684],"genre_scores_gemma":[0.023560705,0.0009848601,0.0018372029,0.0018809626,0.007676195,0.00041077324,0.008710409,0.0019297617,0.95300895],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983462,0.00022135738,0.000033251818,0.00019570204,0.0007205703,0.00048286552],"domain_scores_gemma":[0.9966338,0.0002711328,0.00010765075,0.00020953397,0.0011758606,0.0016020172],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0033856025,0.0011707136,0.00066435547,0.0013610804,0.0025085267,0.00810333,0.0011798195,0.0025383641,0.35548887],"category_scores_gemma":[0.0054236855,0.0003912639,0.0009780783,0.0007740374,0.0005003924,0.0015750126,0.0052639446,0.0031435231,0.14717829],"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":[0.00020009532,0.000029679151,0.00005825344,0.000046355945,0.0000054857314,0.00007647375,0.00008076382,0.00011151862,0.0003910226,0.0021725073,0.98835284,0.008475131],"study_design_scores_gemma":[0.00003531247,0.00003366851,0.0006133212,0.00004271909,0.0000031197328,0.00002499768,0.00016126507,0.00009256445,0.00025722428,0.0015338053,0.9971886,0.000013392856],"about_ca_topic_score_codex":0.0041894154,"about_ca_topic_score_gemma":0.0079529835,"teacher_disagreement_score":0.35548887,"about_ca_system_score_codex":0.0021120473,"about_ca_system_score_gemma":0.0019310446,"threshold_uncertainty_score":0.9193169},"labels":[],"label_agreement":null},{"id":"W7095180954","doi":"","title":"Some Firm Level Evidence from India ∗","year":2002,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Total factor productivity; Productivity; Investment (military); Quarter (Canadian coin); Corporate governance; Disadvantage; Capital (architecture); Value (mathematics)","score_opus":0.14722788799360695,"score_gpt":0.22239400592876396,"score_spread":0.07516611793515701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095180954","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":[0.88734365,0.004017595,0.0011898141,0.0041094646,0.00006925469,0.000035831206,0.021830786,0.00012268541,0.08128086],"genre_scores_gemma":[0.9902518,0.0012068694,0.00026467268,0.0005577224,0.000041175084,0.000014686386,0.005404758,0.000009817918,0.0022484395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884975,0.00020489395,0.00010067374,0.00020185592,0.00035208763,0.00029073126],"domain_scores_gemma":[0.98567015,0.0059586708,0.0051981024,0.00082674314,0.0016923337,0.0006539585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007131542,0.0002090082,0.0002679885,0.0032881002,0.00069203967,0.0017521883,0.00054228236,0.00036107094,0.010180165],"category_scores_gemma":[0.0053078355,0.00022073154,0.0003775031,0.008955463,0.00056563056,0.00047916043,0.0010551995,0.00062007084,0.0015398726],"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":[0.0000818308,0.00007378239,0.96748,0.00057759095,0.00024111537,0.00047741825,0.0018096713,0.0004328924,0.00045236776,0.0024883787,0.009645065,0.01623993],"study_design_scores_gemma":[0.000004070696,0.00002638874,0.99061525,0.00005471854,0.000073935684,0.00011333772,0.0013096088,0.000121917816,0.00029934675,0.00014590024,0.0072270064,0.0000086195205],"about_ca_topic_score_codex":0.073177494,"about_ca_topic_score_gemma":0.13380155,"teacher_disagreement_score":0.073177494,"about_ca_system_score_codex":0.00077679026,"about_ca_system_score_gemma":0.0008163463,"threshold_uncertainty_score":0.1455031},"labels":[],"label_agreement":null},{"id":"W7095223031","doi":"","title":"Groningen Growth and Development Centre January 2002The Canada-U.S. Manufacturing Productivity Gap Revisited: New ICOP Results","year":2011,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Productivity; Multifactor productivity; Manufacturing; Measure (data warehouse); Order (exchange)","score_opus":0.048298192480998946,"score_gpt":0.17877937276466038,"score_spread":0.13048118028366143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095223031","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":[0.0638199,0.061824102,0.019944409,0.045488805,0.0013819032,0.00015079985,0.11544085,0.0005395192,0.69140977],"genre_scores_gemma":[0.65237033,0.06426275,0.021166509,0.0028457143,0.00062003516,0.0003501949,0.06816173,0.00064019504,0.18958253],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99844414,0.0001792186,0.000068583766,0.000238351,0.00084861094,0.00022116111],"domain_scores_gemma":[0.99676836,0.0008971423,0.00029225237,0.00028902577,0.0015773412,0.00017579486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001709621,0.000554506,0.0007006033,0.0044118366,0.0012758328,0.004421687,0.0007497993,0.0005243906,0.01885679],"category_scores_gemma":[0.0065554776,0.00022607282,0.00039725134,0.012972871,0.0008008212,0.001516724,0.0012146912,0.0013740794,0.001990456],"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":[0.00017705002,0.000053000047,0.032441124,0.00055270205,0.000091024456,0.00046645448,0.0013634085,0.00419954,0.00025952238,0.3817571,0.37079436,0.20784464],"study_design_scores_gemma":[0.00003598867,0.000037351554,0.10021099,0.00078256056,0.0001621299,0.00021665377,0.002030766,0.0052627292,0.001486064,0.055711623,0.8340117,0.00005143839],"about_ca_topic_score_codex":0.7152003,"about_ca_topic_score_gemma":0.7704004,"teacher_disagreement_score":0.2847997,"about_ca_system_score_codex":0.0141152935,"about_ca_system_score_gemma":0.01261811,"threshold_uncertainty_score":0.5729538},"labels":[],"label_agreement":null},{"id":"W7095251892","doi":"","title":"CENTRE FOR THE STUDY OF LIVING STANDARDS OVERVIEW OF DEVELOPMENTS IN","year":2012,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Investment (military); Information and Communications Technology; Gross private domestic investment; Open-ended investment company; Return on investment; Business sector","score_opus":0.09031476683528769,"score_gpt":0.2779013844281172,"score_spread":0.1875866175928295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095251892","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011294276,0.008545726,0.0025519296,0.0027168829,0.0011938869,0.0008776241,0.8128112,0.00045975443,0.15954879],"genre_scores_gemma":[0.12028511,0.015694521,0.011383894,0.0010380956,0.00076126907,0.008834948,0.68083847,0.00046121873,0.16070257],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973936,0.0004769647,0.0003554212,0.00030103826,0.0011020335,0.00037087273],"domain_scores_gemma":[0.9886813,0.0018713328,0.0012281445,0.0010180783,0.006387004,0.00081426604],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023083373,0.00066622725,0.0010330727,0.0048070075,0.0005612024,0.0013535725,0.001086083,0.0006199639,0.08838314],"category_scores_gemma":[0.013458927,0.00032128,0.0006023429,0.01059058,0.00020242935,0.0012251986,0.0015070833,0.001219806,0.026151545],"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":[0.00019504466,0.00018634734,0.07089967,0.0009980074,0.00012146801,0.00008192838,0.00049255224,0.00025750705,0.00008370401,0.011217565,0.7517104,0.16375577],"study_design_scores_gemma":[0.000059519116,0.00012470978,0.5432292,0.0007370839,0.000053488875,0.0000725131,0.0007110949,0.00032702333,0.00011526447,0.0012118925,0.45332545,0.000032656644],"about_ca_topic_score_codex":0.15592685,"about_ca_topic_score_gemma":0.124897845,"teacher_disagreement_score":0.91161686,"about_ca_system_score_codex":0.0023479718,"about_ca_system_score_gemma":0.0068775145,"threshold_uncertainty_score":0.3100385},"labels":[],"label_agreement":null},{"id":"W7095279842","doi":"","title":"Intergenerational Dimensions of Canada’s Fiscal System","year":2005,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Fiscal policy; Public finance; Public policy; Social policy; Government (linguistics)","score_opus":0.018839754911765663,"score_gpt":0.1779059068299204,"score_spread":0.15906615191815476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095279842","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":[0.72464544,0.005963576,0.0011607761,0.028142268,0.0001845864,0.00008691009,0.0050395736,0.000048654743,0.23472823],"genre_scores_gemma":[0.9832655,0.0016129856,0.00035905212,0.00034522032,0.000015140897,0.000009091684,0.00052774226,0.000015998212,0.013849236],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99883324,0.00011362451,0.000031523876,0.00009775168,0.0003670913,0.0005567453],"domain_scores_gemma":[0.9967181,0.00026145318,0.00026449075,0.00013169744,0.0017453142,0.000878941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012267283,0.00015040612,0.00024535522,0.0022378583,0.0066021574,0.00526392,0.0007932123,0.00048399827,0.008825617],"category_scores_gemma":[0.005332481,0.00019326256,0.0001881306,0.0038166814,0.0018615643,0.0010039782,0.0017834498,0.0008732999,0.00036415932],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025467057,0.000116052535,0.37092203,0.00010147122,0.00012226,0.0005342099,0.021573918,0.006139692,0.0005445668,0.43196774,0.061958455,0.105765],"study_design_scores_gemma":[0.000037217043,0.000029329962,0.67713106,0.00033881192,0.00008504277,0.0002301254,0.024354082,0.0047595087,0.00030481312,0.0358968,0.25672516,0.000108088054],"about_ca_topic_score_codex":0.99293655,"about_ca_topic_score_gemma":0.99654573,"teacher_disagreement_score":0.9123016,"about_ca_system_score_codex":0.08769842,"about_ca_system_score_gemma":0.082540795,"threshold_uncertainty_score":0.6362996},"labels":[],"label_agreement":null},{"id":"W7095284611","doi":"","title":"COMMENTS WELCOME","year":2001,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Cointegration; Financial intermediary; Per capita; Financial sector development; Investment (military); Financial market; Interest rate; Per capita income; Measures of national income and output; Capital market","score_opus":0.05000349593013613,"score_gpt":0.21610226724923456,"score_spread":0.16609877131909845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095284611","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007187815,0.0020217716,0.0021242672,0.34567854,0.37653562,0.00074462063,0.0050706323,0.002505836,0.26459995],"genre_scores_gemma":[0.003392298,0.0009143857,0.001304919,0.1022949,0.031970426,0.00042955703,0.0020002052,0.0009232304,0.8567701],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99638736,0.00072032056,0.0002334942,0.0005153143,0.0017272574,0.0004162563],"domain_scores_gemma":[0.97068137,0.0040751016,0.0007193084,0.001403947,0.01837493,0.004745367],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0042873714,0.0009614588,0.00095970614,0.0015028935,0.0024615512,0.0044668065,0.0026719295,0.0070498292,0.5732681],"category_scores_gemma":[0.041061677,0.0004021293,0.0009081768,0.0010768597,0.0010232126,0.0036442375,0.0034335912,0.006916964,0.38728455],"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":[0.000017148375,0.0000065813506,0.000044722034,0.000033355667,8.4971333e-7,0.0000431633,0.000026252772,0.000011943124,0.000050250987,0.0004883982,0.9922502,0.007027134],"study_design_scores_gemma":[0.000005543017,0.000006328984,0.00013874244,0.00004018631,0.0000010808426,0.000029332181,0.00010489052,0.000019135385,0.000035223333,0.000294704,0.9993198,0.000005110476],"about_ca_topic_score_codex":0.0047851126,"about_ca_topic_score_gemma":0.008659395,"teacher_disagreement_score":0.42673188,"about_ca_system_score_codex":0.0028318723,"about_ca_system_score_gemma":0.00445646,"threshold_uncertainty_score":0.6086812},"labels":[],"label_agreement":null},{"id":"W7095533897","doi":"","title":"Productivity and Inflation This Economic Letter is adapted from remarks by Janet L.Yellen, President and CEO of the Federal Reserve Bank","year":2005,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Nonfarm payrolls; Productivity; Pace; Inflation (cosmology); Slowdown; Quarter (Canadian coin); Monetary policy","score_opus":0.01525632543143094,"score_gpt":0.19062269271613036,"score_spread":0.17536636728469943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095533897","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":[0.000944431,0.01451593,0.00029560225,0.8388236,0.050149426,0.000019885156,0.0013387656,0.00013423843,0.09377811],"genre_scores_gemma":[0.06580154,0.042539064,0.0010573544,0.27841163,0.1585569,0.0002003611,0.0020232436,0.00042897902,0.45098093],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984226,0.00034380215,0.00014293287,0.00020708736,0.00066855503,0.00021500804],"domain_scores_gemma":[0.9928894,0.0034434362,0.0007251559,0.00018535288,0.002281303,0.0004753381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021066554,0.0006500101,0.0005993359,0.0015030375,0.0021052063,0.0063533727,0.0005850044,0.0063972524,0.050148595],"category_scores_gemma":[0.017716149,0.0003539972,0.00036885223,0.0020088628,0.0009388456,0.0025310018,0.001058621,0.0068363594,0.02800626],"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":[0.000013076599,0.000004312287,0.00024402094,0.000013973182,0.0000013789786,0.000018146751,0.000027939048,0.000008896603,0.00001472776,0.0030148418,0.9921933,0.0044454355],"study_design_scores_gemma":[0.000022500151,0.000030597956,0.008788491,0.00033442554,0.000012514004,0.00007666503,0.00016209505,0.00016373418,0.00017071998,0.0048883394,0.9853153,0.00003451697],"about_ca_topic_score_codex":0.01105972,"about_ca_topic_score_gemma":0.015469128,"teacher_disagreement_score":0.050148595,"about_ca_system_score_codex":0.0022667418,"about_ca_system_score_gemma":0.0014399451,"threshold_uncertainty_score":0.16776377},"labels":[],"label_agreement":null},{"id":"W7095613968","doi":"","title":"DEPARTEMENT DE BIOLOGIE FACULTÉ DES SCIENCES ET GÉNIE","year":2014,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Context (archaeology); Selection (genetic algorithm); Perspective (graphical)","score_opus":0.16204432160573434,"score_gpt":0.2934273325360188,"score_spread":0.13138301093028448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095613968","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07534873,0.08172106,0.024816193,0.15207978,0.024449993,0.0006985368,0.040119346,0.0056159403,0.5951505],"genre_scores_gemma":[0.12849358,0.019805197,0.01484788,0.0033722995,0.0029264686,0.000272472,0.0061351266,0.00053798716,0.8236089],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99739146,0.00035822752,0.000117019255,0.0008315864,0.0008335157,0.00046827705],"domain_scores_gemma":[0.9894748,0.002119701,0.00075274793,0.00077144185,0.0028851982,0.0039960546],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002180185,0.001203318,0.0016610087,0.002719834,0.0022055055,0.0043747993,0.0017011046,0.0026351758,0.16200939],"category_scores_gemma":[0.008686278,0.00046987593,0.00075347704,0.002116671,0.0014572443,0.0015914593,0.002627287,0.0039619617,0.084494],"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":[0.0016489234,0.0005756691,0.040198315,0.0013478268,0.00017129697,0.0012158126,0.002066696,0.0018639667,0.007064131,0.074105375,0.4531834,0.4165586],"study_design_scores_gemma":[0.000081830716,0.00017697176,0.05427602,0.00027102345,0.000023653258,0.0007107118,0.0005930738,0.0009546943,0.003746124,0.0075182375,0.93157136,0.00007626035],"about_ca_topic_score_codex":0.038743664,"about_ca_topic_score_gemma":0.032637503,"teacher_disagreement_score":0.83799064,"about_ca_system_score_codex":0.007552407,"about_ca_system_score_gemma":0.009959463,"threshold_uncertainty_score":0.5419754},"labels":[],"label_agreement":null},{"id":"W7095664936","doi":"","title":"Geography, population density, and per-capita income gaps across US states and Canadian","year":2006,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Endogeneity; Population; Causal chain; Population density; Chain (unit); Higher education","score_opus":0.00888367794059468,"score_gpt":0.19067253413591456,"score_spread":0.18178885619531987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095664936","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":[0.9738918,0.0008474395,0.00016947062,0.0015116445,0.000018099823,0.0000227228,0.0121252425,0.000031809013,0.011381811],"genre_scores_gemma":[0.99522626,0.00032434816,0.00010214802,0.000051170326,0.0000035613402,0.000005771328,0.0032991073,0.000004302742,0.0009832868],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939597,0.000049328333,0.000037620364,0.00008436552,0.00020004513,0.0002326057],"domain_scores_gemma":[0.9961743,0.0004583777,0.00061978004,0.00016113375,0.0020136563,0.0005728274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082505983,0.00021969242,0.0003759726,0.0025988866,0.0022729782,0.0014005471,0.0010339889,0.000284307,0.0052296924],"category_scores_gemma":[0.004269189,0.00019559839,0.0004841665,0.0062447116,0.00092104566,0.00048580786,0.0011192807,0.0005809288,0.00024139821],"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":[0.000066453635,0.000024019344,0.98280233,0.00003919015,0.0000954313,0.000084528176,0.0010411873,0.0014223048,0.000064552405,0.0026347518,0.0059193927,0.0058058896],"study_design_scores_gemma":[0.0000075441635,0.00000563266,0.99307525,0.00004116101,0.00003789129,0.000033362077,0.0018347149,0.001473374,0.000081546386,0.0002865944,0.003107648,0.0000151848335],"about_ca_topic_score_codex":0.99656457,"about_ca_topic_score_gemma":0.9974009,"teacher_disagreement_score":0.019057209,"about_ca_system_score_codex":0.019057209,"about_ca_system_score_gemma":0.018135183,"threshold_uncertainty_score":0.13827038},"labels":[],"label_agreement":null},{"id":"W7095683649","doi":"","title":"Neoclassical Growth Accounting and Frontier Analysis: A Synthesis","year":2014,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Total factor productivity; Growth accounting; Productivity; Measure (data warehouse); Factor shares; Frontier; Production–possibility frontier; Value (mathematics); Technical progress","score_opus":0.013777666351246685,"score_gpt":0.17738893508949194,"score_spread":0.16361126873824525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095683649","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018048164,0.88797694,0.057764485,0.0060354467,0.0011911663,0.000054933666,0.00065683154,0.00009299972,0.044422347],"genre_scores_gemma":[0.02787894,0.93409467,0.026242314,0.0009698694,0.002162764,0.00013108405,0.0005903656,0.00008494756,0.00784502],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990702,0.0002314679,0.000081161175,0.00008533218,0.00047536314,0.00005651506],"domain_scores_gemma":[0.99757177,0.0014016584,0.00016839038,0.00019775552,0.0006003826,0.00005996396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028004008,0.0016752046,0.0016682111,0.009564244,0.00063569786,0.0037988906,0.0014275931,0.0015158289,0.007025867],"category_scores_gemma":[0.00633739,0.0011369139,0.0010887142,0.0142569365,0.0022169307,0.0041034217,0.0015643679,0.0024658248,0.00215437],"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":[0.000031798354,0.00014187203,0.0011114884,0.0057519646,0.00008411462,0.00017123173,0.0003172924,0.02581991,0.0002569135,0.55683404,0.034380555,0.37509882],"study_design_scores_gemma":[0.000009334217,0.00004559204,0.0039821947,0.006757111,0.000052265397,0.0001924761,0.00027603173,0.019752307,0.00039614545,0.5167527,0.45168918,0.00009462967],"about_ca_topic_score_codex":0.0132257715,"about_ca_topic_score_gemma":0.009469915,"teacher_disagreement_score":0.0132257715,"about_ca_system_score_codex":0.0064768577,"about_ca_system_score_gemma":0.003917729,"threshold_uncertainty_score":0.046993136},"labels":[],"label_agreement":null},{"id":"W7095888993","doi":"","title":"Sector Productivity Measures","year":2016,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Productivity; Sustainability; Multifactor productivity; Section (typography); Divergence (linguistics)","score_opus":0.05355429317111864,"score_gpt":0.19586423977185322,"score_spread":0.14230994660073457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095888993","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33804843,0.011210674,0.02104557,0.004824131,0.0011666946,0.0004665027,0.26029086,0.0012660928,0.36168104],"genre_scores_gemma":[0.86778367,0.0047983513,0.005860595,0.0003350254,0.00045002266,0.00020885289,0.08752954,0.00014429475,0.032889638],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967464,0.00048767866,0.00031404913,0.00040657914,0.0017515619,0.0002937761],"domain_scores_gemma":[0.99253017,0.00077992695,0.0016666725,0.0004811346,0.004224267,0.00031788775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016445584,0.0006875267,0.00035394082,0.007742379,0.00052576524,0.0021988333,0.0005978098,0.00030443998,0.011056163],"category_scores_gemma":[0.009712814,0.00011134561,0.00049499446,0.013926352,0.00049929466,0.0009264673,0.00081359217,0.00066176243,0.0031461571],"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":[0.0002296069,0.00020404256,0.49009654,0.00084686524,0.0006301145,0.00020579866,0.0016189294,0.011842726,0.0014651915,0.076763906,0.18855543,0.22754082],"study_design_scores_gemma":[0.000028585684,0.00020545247,0.5856292,0.00023315454,0.00017278004,0.00027545606,0.0021696733,0.004774686,0.0022666059,0.008586787,0.39558697,0.000070617185],"about_ca_topic_score_codex":0.12438577,"about_ca_topic_score_gemma":0.10901647,"teacher_disagreement_score":0.12438577,"about_ca_system_score_codex":0.0034065037,"about_ca_system_score_gemma":0.0034757922,"threshold_uncertainty_score":0.24732351},"labels":[],"label_agreement":null},{"id":"W7095922398","doi":"","title":"The Conference Board","year":2009,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Productivity; Recession; Goods and services; Quarter (Canadian coin); Growth accounting; Manufacturing sector; National accounts; Debt; Value (mathematics)","score_opus":0.03840869888220345,"score_gpt":0.20580570090172925,"score_spread":0.16739700201952581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095922398","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008470162,0.0067180493,0.0017271396,0.046415485,0.13204649,0.0003741863,0.0037604817,0.0011582131,0.8069529],"genre_scores_gemma":[0.0021233303,0.0012199135,0.00033930707,0.005747894,0.006407572,0.00011855042,0.001176462,0.00028338516,0.98258346],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99782974,0.00026107568,0.00012777024,0.0004314648,0.000989707,0.0003603363],"domain_scores_gemma":[0.9949693,0.00043817068,0.00019990637,0.0004267834,0.00277484,0.0011909703],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0021792317,0.0009433105,0.00058539736,0.0016170947,0.0024430288,0.007961321,0.0018439149,0.0043686,0.6459704],"category_scores_gemma":[0.007859603,0.0004232234,0.0006487145,0.0014000842,0.0006622132,0.003772156,0.0030375044,0.0043586786,0.5494911],"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":[0.000012596703,0.000008940317,0.000050984156,0.00003875956,0.0000010208628,0.000023485825,0.000019068148,0.000014474152,0.0000853964,0.001637406,0.9764266,0.021681147],"study_design_scores_gemma":[0.0000021338556,0.0000029188773,0.00012925714,0.000026190426,4.7468984e-7,0.000019702095,0.00002827742,0.000012731236,0.000027531905,0.00017332843,0.9995757,0.0000018201147],"about_ca_topic_score_codex":0.0042454414,"about_ca_topic_score_gemma":0.0054891184,"teacher_disagreement_score":0.3540296,"about_ca_system_score_codex":0.001918505,"about_ca_system_score_gemma":0.0038856983,"threshold_uncertainty_score":0.5049802},"labels":[],"label_agreement":null},{"id":"W7095935988","doi":"","title":"The dynamics of geographic versus sectoral diversification: a causal explanation. Working paper","year":2003,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Equity (law); Diversification (marketing strategy); Production (economics); Industrial production; Financial market; Emerging markets","score_opus":0.04417682668196684,"score_gpt":0.20800886417914594,"score_spread":0.1638320374971791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095935988","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":[0.7238594,0.016570857,0.02671691,0.17363898,0.00030475526,0.00016827889,0.003907774,0.00026724482,0.05456569],"genre_scores_gemma":[0.9933507,0.0021427611,0.000778919,0.0006724894,0.0001458181,0.000019125368,0.00019490263,0.000016380118,0.0026789058],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99952924,0.00017726803,0.000027299191,0.0000989253,0.000053328757,0.00011391392],"domain_scores_gemma":[0.97982806,0.009193915,0.007772647,0.0006926,0.0009821433,0.0015307271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003090422,0.00036024456,0.000467601,0.0014145001,0.0006738709,0.0028756985,0.0007935529,0.0027425129,0.021925056],"category_scores_gemma":[0.015667465,0.0005134411,0.0008761361,0.0018782333,0.0021815235,0.005618672,0.0021001296,0.0019247037,0.000631653],"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":[0.00030280635,0.00015720866,0.34417617,0.0002399758,0.00037752776,0.0014000596,0.0018006505,0.013569122,0.0005872765,0.5465102,0.03265432,0.058224767],"study_design_scores_gemma":[0.0002844021,0.00009366063,0.2257637,0.00024767863,0.00046504568,0.0007053756,0.0030804607,0.029990664,0.0006353896,0.71568656,0.022964723,0.00008226956],"about_ca_topic_score_codex":0.006719628,"about_ca_topic_score_gemma":0.0067404965,"teacher_disagreement_score":0.021925056,"about_ca_system_score_codex":0.0015009306,"about_ca_system_score_gemma":0.00083172315,"threshold_uncertainty_score":0.073346615},"labels":[],"label_agreement":null},{"id":"W7096060675","doi":"","title":"Can’t we all be more like Scandinavians? Asymmetric growth and institutions in an interdependent world. Working Papers 18441, National Bureau of Economic Research","year":2012,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Interdependence; Subject (documents); Developing country; Latin Americans; Economic analysis; Economic impact analysis","score_opus":0.21621252380427403,"score_gpt":0.36584169892079677,"score_spread":0.14962917511652274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096060675","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09419289,0.07591289,0.0010529351,0.7281107,0.0016480907,0.000020260977,0.002703844,0.00003879007,0.096319616],"genre_scores_gemma":[0.9053828,0.052226514,0.00061467744,0.022174522,0.0010235884,0.000035959853,0.0013833139,0.00007744325,0.01708111],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984409,0.00059534877,0.00008728526,0.00018221138,0.00025586985,0.0004383681],"domain_scores_gemma":[0.990877,0.0034933041,0.0029196502,0.00037372837,0.0012199621,0.0011164275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036617683,0.00031607057,0.0007440318,0.001476629,0.0033104524,0.007671234,0.0007342842,0.0037251806,0.015404267],"category_scores_gemma":[0.015320692,0.0004546181,0.00031817786,0.004354672,0.004236503,0.0106449155,0.001793273,0.002372447,0.0014877064],"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":[0.00029980653,0.00007144722,0.051910788,0.0004235682,0.00022287785,0.0010216248,0.01034299,0.00081896875,0.00017076402,0.3373699,0.50693595,0.09041135],"study_design_scores_gemma":[0.0001211884,0.000041181742,0.17105396,0.0020100644,0.0002983927,0.00039861092,0.038113475,0.0008808983,0.00048269916,0.39956614,0.3868735,0.00015988207],"about_ca_topic_score_codex":0.04546787,"about_ca_topic_score_gemma":0.08522441,"teacher_disagreement_score":0.04546787,"about_ca_system_score_codex":0.003630827,"about_ca_system_score_gemma":0.0026977307,"threshold_uncertainty_score":0.09040642},"labels":[],"label_agreement":null},{"id":"W7096072169","doi":"","title":"Département de Sciences Economiques","year":2003,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Base (topology); Social exclusion","score_opus":0.07898169374281047,"score_gpt":0.24274260543754705,"score_spread":0.16376091169473658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096072169","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007507376,0.06038145,0.014297298,0.030486437,0.0063580037,0.00024100223,0.021359209,0.0016515637,0.85771775],"genre_scores_gemma":[0.10516907,0.0849684,0.024346624,0.0035257824,0.0031222373,0.0009244309,0.01509311,0.0012369462,0.7616134],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980252,0.00034337764,0.00012455472,0.0004989951,0.00074146234,0.00026647167],"domain_scores_gemma":[0.99718374,0.0011359785,0.00019510357,0.00042648055,0.000714615,0.00034404767],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013298849,0.001397778,0.00215054,0.0022923574,0.0013298633,0.004870772,0.0014923988,0.0026352773,0.2637519],"category_scores_gemma":[0.005477945,0.00039754002,0.0006521928,0.0026699712,0.00086484797,0.0029668037,0.002000638,0.003948725,0.16058666],"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":[0.0002544198,0.00012935263,0.0030662778,0.0016252624,0.00010653745,0.0005110229,0.00051990594,0.0009643141,0.0013354237,0.3223213,0.35641474,0.31275144],"study_design_scores_gemma":[0.000037651156,0.000027914371,0.002801709,0.0003109902,0.000014928824,0.00026007037,0.00013506832,0.0005513277,0.00042418472,0.045433737,0.9499785,0.000023951368],"about_ca_topic_score_codex":0.007150547,"about_ca_topic_score_gemma":0.0046222378,"teacher_disagreement_score":0.73624814,"about_ca_system_score_codex":0.0035731632,"about_ca_system_score_gemma":0.0029671604,"threshold_uncertainty_score":0.882338},"labels":[],"label_agreement":null},{"id":"W7096140974","doi":"","title":"Structural Change, Liberalisation and Growth: The Indonesian Experience in an Input-Output Perspective∗","year":2003,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Indonesian; Liberalization; Productivity; Quarter (Canadian coin); Structural adjustment; Structural change; Demand side","score_opus":0.08726406278821368,"score_gpt":0.2562999149584081,"score_spread":0.1690358521701944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096140974","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":[0.8226058,0.0030475957,0.0007771005,0.0066867615,0.00005829088,0.000014172952,0.00013079873,0.000013608059,0.16666597],"genre_scores_gemma":[0.99066633,0.0026198993,0.00023956284,0.0001797286,0.000027468515,0.0000046937103,0.000056338624,0.000010083067,0.006195875],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996768,0.000103638406,0.00001675895,0.000032805074,0.00007085207,0.00009899248],"domain_scores_gemma":[0.99956435,0.00015724824,0.000112387985,0.000034781526,0.000049559465,0.00008171862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079624384,0.00015233557,0.00019305976,0.0004374103,0.0013108635,0.0033015388,0.00026282828,0.00036465473,0.0030896317],"category_scores_gemma":[0.0008735578,0.0001050856,0.00009402021,0.0018333372,0.0028747427,0.0022859983,0.0017279892,0.0013243292,0.00022369815],"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":[0.00035786713,0.00040863975,0.14629431,0.0006623545,0.000027816643,0.0038938057,0.274836,0.0047981194,0.0032190157,0.35643035,0.0057574413,0.20331429],"study_design_scores_gemma":[0.000023685789,0.00026441645,0.34609792,0.00052878424,0.000018045526,0.0014502022,0.21183969,0.004438742,0.0025591073,0.06966428,0.3630601,0.000055020817],"about_ca_topic_score_codex":0.009703261,"about_ca_topic_score_gemma":0.018669559,"teacher_disagreement_score":0.009703261,"about_ca_system_score_codex":0.002309885,"about_ca_system_score_gemma":0.0012631286,"threshold_uncertainty_score":0.019293547},"labels":[],"label_agreement":null},{"id":"W7096168572","doi":"","title":"2007), “Efficiency and Economies of Scale of Large Canadian","year":2016,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Scale (ratio); Economies of scale; Field (mathematics)","score_opus":0.01294426806921546,"score_gpt":0.18095693237699312,"score_spread":0.16801266430777767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096168572","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.075079076,0.023250973,0.030275464,0.07841135,0.0015494756,0.00025801646,0.023565028,0.00056846,0.7670421],"genre_scores_gemma":[0.75024736,0.010831766,0.017062135,0.010487904,0.00071114773,0.00016130619,0.004880886,0.00025321014,0.20536427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99879897,0.000113589835,0.00007567069,0.00016246091,0.0005557549,0.0002934541],"domain_scores_gemma":[0.9963391,0.00070929324,0.0002926524,0.00021198789,0.0021887852,0.00025825817],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015522313,0.00036377765,0.00030549744,0.0017560215,0.003933785,0.004891093,0.0008110393,0.0013942462,0.017800113],"category_scores_gemma":[0.006060572,0.00030887325,0.0005660243,0.0024351405,0.0020723813,0.0029874342,0.0010626242,0.0017114134,0.0016740032],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009492253,0.000020598585,0.00825763,0.00016914027,0.000051141127,0.00011806305,0.0018893466,0.0010812528,0.00043036672,0.6751673,0.28526205,0.02745826],"study_design_scores_gemma":[0.000060926373,0.000031722397,0.088259175,0.00035672114,0.0001542082,0.00021487704,0.0030799285,0.0025032659,0.0029318202,0.15621242,0.74608076,0.00011425559],"about_ca_topic_score_codex":0.83326846,"about_ca_topic_score_gemma":0.8948908,"teacher_disagreement_score":0.9821999,"about_ca_system_score_codex":0.022789825,"about_ca_system_score_gemma":0.020992642,"threshold_uncertainty_score":0.33542687},"labels":[],"label_agreement":null},{"id":"W7096286110","doi":"","title":"Price Convergence and Market Integration: Strong Evidence Using Canada Data","year":2015,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Unit root; Unemployment; Wage; Pace; Convergence (economics); Price setting; Point (geometry); Null hypothesis","score_opus":0.2363539348272015,"score_gpt":0.2691934516663132,"score_spread":0.03283951683911171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096286110","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":[0.96818584,0.0025787414,0.0016145202,0.0015080173,0.000032343673,0.00004117808,0.009579564,0.00007644895,0.016383462],"genre_scores_gemma":[0.99390703,0.0007449515,0.00043982727,0.00009231809,0.000014711989,0.0000043808204,0.0036917275,0.00001608338,0.001089122],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861753,0.00014948021,0.000069505535,0.0002523676,0.00059617,0.0003149704],"domain_scores_gemma":[0.9901494,0.0025692268,0.0021047443,0.00080127624,0.0036648803,0.00071043626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015977268,0.0002580758,0.0004947607,0.0021405017,0.0014117769,0.002287468,0.0008175222,0.0003953396,0.005237848],"category_scores_gemma":[0.009650868,0.00021910023,0.00061455864,0.006440366,0.00091255555,0.0007477279,0.0009838336,0.0008147559,0.00047960322],"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":[0.00015728298,0.000047021564,0.97408664,0.00009957009,0.0002723376,0.00029396467,0.00065820065,0.0013423394,0.00028341138,0.0023898715,0.004176847,0.016192632],"study_design_scores_gemma":[0.000012973733,0.000023291688,0.987381,0.00005910591,0.00014589634,0.00006565861,0.0011431588,0.003850341,0.0003757647,0.00032677,0.0065909214,0.000025177837],"about_ca_topic_score_codex":0.96136814,"about_ca_topic_score_gemma":0.9577563,"teacher_disagreement_score":0.038631856,"about_ca_system_score_codex":0.0049681794,"about_ca_system_score_gemma":0.010628215,"threshold_uncertainty_score":0.077718675},"labels":[],"label_agreement":null},{"id":"W7096300362","doi":"","title":"Regional and Sectoral Economic Studies. AEEADE. Vol. 4-1(2004) 5 A NONPARAMETRIC ANALYSIS OF THE PERSONAL INCOME DISTRIBUTION ACROSS THE PROVINCES AND STATES IN THE U.S. AND CANADA","year":2016,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Personal income; Nonparametric statistics; Distribution (mathematics); Per capita income; Per capita; Convergence (economics); Total personal income","score_opus":0.0214953653870984,"score_gpt":0.226963790264914,"score_spread":0.2054684248778156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096300362","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":[0.12434928,0.23974276,0.00791028,0.025750255,0.0007377073,0.000054740747,0.043471277,0.00026261705,0.5577211],"genre_scores_gemma":[0.7887751,0.07714306,0.004941185,0.0009434626,0.00034487282,0.000033134558,0.010338181,0.00016031638,0.11732065],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9997662,0.000037777954,0.000009047335,0.000027421633,0.00009229708,0.00006731663],"domain_scores_gemma":[0.9992786,0.00016077649,0.00007989799,0.000093665876,0.00033011916,0.000056994533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006083176,0.00020262825,0.00030095186,0.0017241677,0.0006508658,0.0014549826,0.00029461904,0.00022532459,0.015762804],"category_scores_gemma":[0.0019420701,0.00015577859,0.0003381733,0.009511119,0.0007431712,0.0005770802,0.00054856524,0.00045952862,0.0020299647],"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":[0.00006902009,0.00005172187,0.15736285,0.00051120046,0.00016459121,0.00017065556,0.0027867723,0.0054620868,0.00031877338,0.21450606,0.34641835,0.2721779],"study_design_scores_gemma":[0.000007327694,0.000019614228,0.31172425,0.00056555116,0.000073632276,0.00020925276,0.0031653284,0.0018442863,0.00034274257,0.015132571,0.6668956,0.000019837638],"about_ca_topic_score_codex":0.73068565,"about_ca_topic_score_gemma":0.8466331,"teacher_disagreement_score":0.26931435,"about_ca_system_score_codex":0.005555022,"about_ca_system_score_gemma":0.0068704416,"threshold_uncertainty_score":0.54180074},"labels":[],"label_agreement":null},{"id":"W7096373465","doi":"","title":"By Patrick Grady, Global Economics Ltd. Why Worry About Industrial Structure?","year":2013,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Worry; Term (time); Set (abstract data type); Point (geometry); Presentation (obstetrics); Demographics; Work (physics); Industrial policy","score_opus":0.022699897013208153,"score_gpt":0.18702584750151022,"score_spread":0.16432595048830206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096373465","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000969727,0.15559047,0.0029060212,0.24355842,0.045638822,0.000101920166,0.005189112,0.0015072561,0.5445383],"genre_scores_gemma":[0.0050001913,0.040377233,0.0010235158,0.015380918,0.0040758355,0.00007301805,0.0011058567,0.00038594878,0.93257755],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993579,0.00007861033,0.00004485348,0.00022328999,0.0002302082,0.000065181564],"domain_scores_gemma":[0.9989818,0.00023522919,0.000111381545,0.00009208984,0.00038679055,0.00019272538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007191988,0.0016810601,0.0008353648,0.0019540715,0.0010131708,0.004171001,0.00079177745,0.0035698544,0.28103593],"category_scores_gemma":[0.0028972148,0.0005611422,0.0004050933,0.002844919,0.0012468855,0.0058559254,0.0016709031,0.0037461661,0.23599645],"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":[0.000008118126,0.000004900656,0.00011295334,0.00008811811,0.0000020252025,0.000024770661,0.00003345636,0.000046056794,0.00005194117,0.0052935197,0.9566045,0.037729718],"study_design_scores_gemma":[0.0000029882294,0.0000031691268,0.00035507383,0.00013931417,9.5288107e-7,0.00003480543,0.00005454992,0.000054092743,0.000024296116,0.0015506732,0.9977762,0.0000038662374],"about_ca_topic_score_codex":0.007858981,"about_ca_topic_score_gemma":0.015916755,"teacher_disagreement_score":0.28103593,"about_ca_system_score_codex":0.0019032338,"about_ca_system_score_gemma":0.0016009277,"threshold_uncertainty_score":0.94015884},"labels":[],"label_agreement":null},{"id":"W7096404807","doi":"","title":"The Canadian Economy in Transition Series Global Links: Multinationals in","year":2015,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Mandate; Agency (philosophy); Government (linguistics); Series (stratigraphy); Time series; Transition (genetics); Set (abstract data type); Multivariate statistics; Variety (cybernetics)","score_opus":0.03865631169232856,"score_gpt":0.21729641869381913,"score_spread":0.17864010700149058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096404807","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07494298,0.03211758,0.0017428437,0.10339441,0.006844169,0.00019249866,0.06624286,0.0005417982,0.71398085],"genre_scores_gemma":[0.5151096,0.03228437,0.0029658342,0.0066554104,0.0009343003,0.00008566319,0.022827774,0.00029166898,0.4188454],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99874747,0.000039793704,0.000027652179,0.00010449657,0.0006603026,0.00042031112],"domain_scores_gemma":[0.9971409,0.00013803902,0.00013036259,0.000106392254,0.0017836714,0.00070070114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007644143,0.00044961192,0.00030238385,0.0038763336,0.0047098137,0.005848233,0.0007580211,0.0011299837,0.028250398],"category_scores_gemma":[0.0040091756,0.0001821612,0.0003465624,0.00988063,0.0012556962,0.0017937827,0.0013603171,0.0013464438,0.0020541325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048970916,0.000023742909,0.007791213,0.00022357223,0.000017814358,0.00017228659,0.0017253389,0.00071201497,0.00019733098,0.11239829,0.8079287,0.06876076],"study_design_scores_gemma":[0.000007231197,0.0000066186167,0.036363382,0.00014564666,0.000017140197,0.00006122204,0.002317415,0.00040985557,0.00015698362,0.003594772,0.9568811,0.000038592814],"about_ca_topic_score_codex":0.9911828,"about_ca_topic_score_gemma":0.9953367,"teacher_disagreement_score":0.0778248,"about_ca_system_score_codex":0.0778248,"about_ca_system_score_gemma":0.11430412,"threshold_uncertainty_score":0.5646611},"labels":[],"label_agreement":null},{"id":"W7096427906","doi":"","title":"THE STUDY OF LIVING STANDARDS Canada-U.S. ICT Investment in 2009: The ICT Investment per Worker Gap Widens","year":2010,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Information and Communications Technology; Investment (military); Work (physics); Government (linguistics)","score_opus":0.022211967286812614,"score_gpt":0.21679695411003347,"score_spread":0.19458498682322084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096427906","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":[0.86590564,0.009196408,0.00049758994,0.043384522,0.0003138539,0.000054912634,0.025628159,0.000046397887,0.05497241],"genre_scores_gemma":[0.98136604,0.0018335412,0.00012996796,0.00082076964,0.00006034366,0.000012478772,0.0045716185,0.000012681572,0.011192485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999116,0.000043201213,0.000022654509,0.000094777424,0.00030141123,0.00042195205],"domain_scores_gemma":[0.9963407,0.0003318099,0.0005849343,0.000062849314,0.0017273626,0.00095238176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082745956,0.00020599601,0.0003719552,0.0016377915,0.0018611061,0.0024528669,0.0008163965,0.0007097668,0.0040738545],"category_scores_gemma":[0.0034471753,0.00010382857,0.00041371898,0.0068317284,0.0007616375,0.0011912987,0.0010212556,0.0019269887,0.0003520021],"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":[0.0002218682,0.00023108431,0.8004575,0.00014842155,0.00014533123,0.0003540842,0.0037688632,0.0018434499,0.00018775073,0.052016065,0.07827,0.0623556],"study_design_scores_gemma":[0.000008660727,0.000028888146,0.96506584,0.000085875654,0.000029612014,0.000039301292,0.0051201684,0.0010928016,0.00015990938,0.0010986387,0.027254924,0.000015324877],"about_ca_topic_score_codex":0.98518234,"about_ca_topic_score_gemma":0.9922557,"teacher_disagreement_score":0.032047756,"about_ca_system_score_codex":0.032047756,"about_ca_system_score_gemma":0.054805644,"threshold_uncertainty_score":0.23252386},"labels":[],"label_agreement":null},{"id":"W7096577063","doi":"","title":"STUDY OF LIVING STANDARDS THE CANADA-US ICT INVESTMENT GAP:","year":2008,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Information and Communications Technology; Investment (military); Productivity; Standard of living; Yield (engineering)","score_opus":0.047946328475178386,"score_gpt":0.2117157245790642,"score_spread":0.16376939610388583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096577063","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":[0.89631784,0.0056425505,0.0003889407,0.0070791016,0.000083384955,0.000056644072,0.02487801,0.00004314102,0.06551044],"genre_scores_gemma":[0.9869834,0.0011517775,0.00016394554,0.0002408591,0.000023422257,0.000015258896,0.0054297596,0.000013123568,0.005978389],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987778,0.00005096812,0.000037160706,0.00008639695,0.0006400109,0.00040765264],"domain_scores_gemma":[0.99541193,0.00026281163,0.00068139745,0.00007966537,0.002789664,0.0007746284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009020873,0.00017381292,0.00031146157,0.0033475477,0.0019859683,0.0023117154,0.00076680887,0.00030381163,0.0035109995],"category_scores_gemma":[0.0044360473,0.000087820656,0.00034270488,0.011323946,0.00067945203,0.00084996456,0.0010855079,0.0009606392,0.00030177014],"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":[0.00011839564,0.00013125702,0.890141,0.00011471984,0.000086319844,0.0002509605,0.004771688,0.00074417255,0.000088083485,0.021196336,0.021571176,0.060785893],"study_design_scores_gemma":[0.0000036344984,0.000019831534,0.9758707,0.00007330294,0.000015063946,0.00004358016,0.0047165095,0.00040931653,0.00010778337,0.00036098796,0.018368667,0.000010665732],"about_ca_topic_score_codex":0.9768835,"about_ca_topic_score_gemma":0.9787324,"teacher_disagreement_score":0.027840875,"about_ca_system_score_codex":0.027840875,"about_ca_system_score_gemma":0.027186934,"threshold_uncertainty_score":0.20200062},"labels":[],"label_agreement":null},{"id":"W7096613040","doi":"","title":"is given to the source. The Biocultural Origins of Human Capital Formation","year":2014,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Human capital; Danish; Subject (documents); Research council; Developing country; Foundation (evidence)","score_opus":0.028749705488350787,"score_gpt":0.2133051935879575,"score_spread":0.1845554880996067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096613040","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0077961464,0.02832374,0.002935171,0.0485054,0.0054062055,0.00017398912,0.22843266,0.00081559777,0.6776111],"genre_scores_gemma":[0.15849103,0.049921103,0.0041247318,0.0042614704,0.0017404507,0.0005020301,0.1277875,0.0015880526,0.6515836],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99919695,0.00017370631,0.00007754874,0.00018749185,0.00023513181,0.00012915938],"domain_scores_gemma":[0.9973912,0.00068738416,0.00028600884,0.00033201725,0.0009998562,0.00030361308],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014260128,0.00066768157,0.0004731671,0.003820928,0.0012162941,0.004482106,0.0010354108,0.0014238309,0.23612083],"category_scores_gemma":[0.006959718,0.00032321794,0.00028708664,0.009987044,0.0008216485,0.0027719554,0.0024773239,0.001761567,0.07773406],"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":[0.00007257393,0.000014775367,0.004532842,0.00042324915,0.00001440995,0.00007545545,0.0008213072,0.00014196227,0.000046559828,0.036750324,0.8778869,0.079219654],"study_design_scores_gemma":[0.00003391845,0.000014909329,0.030377327,0.00093701377,0.000013893897,0.000101680416,0.001147343,0.00014049464,0.00017032163,0.0078497715,0.9591866,0.000026746447],"about_ca_topic_score_codex":0.08455345,"about_ca_topic_score_gemma":0.07119248,"teacher_disagreement_score":0.7638792,"about_ca_system_score_codex":0.0038680313,"about_ca_system_score_gemma":0.0034551716,"threshold_uncertainty_score":0.78990287},"labels":[],"label_agreement":null},{"id":"W7096689122","doi":"","title":"The relationship between ICT investment and productivity in the Canadian economy: a review of the evidence,” CSLS Research Report 2006-05 (Ottawa: Centre for the Study of Living Standards","year":2006,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Information and Communications Technology; Productivity; Investment (military); Stock (firearms); Government (linguistics); Capital (architecture)","score_opus":0.16599641199944223,"score_gpt":0.3347064520527813,"score_spread":0.1687100400533391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096689122","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028754072,0.9227504,0.000432178,0.022570683,0.00034989265,0.000039730352,0.0060683787,0.0000306231,0.019003976],"genre_scores_gemma":[0.17105836,0.8220351,0.00085993053,0.0010284353,0.00023768297,0.000014465179,0.0021571931,0.000013988467,0.0025948382],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977779,0.00025593193,0.00012818782,0.00016040434,0.0013190343,0.0003584798],"domain_scores_gemma":[0.9892042,0.0028776156,0.0013135036,0.00014805225,0.006012307,0.00044436264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037974291,0.00079976156,0.00067408255,0.010089277,0.0015174544,0.004158838,0.0012958568,0.00077330606,0.0029578297],"category_scores_gemma":[0.010303782,0.0004756126,0.0011132987,0.025582954,0.0018113995,0.0015956439,0.0008862515,0.0011435786,0.00034038],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036805117,0.00013878448,0.34361598,0.01927466,0.0021983034,0.0007572936,0.00226345,0.004298187,0.00034770602,0.039184343,0.120721914,0.46683133],"study_design_scores_gemma":[0.00004964458,0.00006261805,0.8011234,0.009951711,0.0021232413,0.00023808796,0.0027501727,0.0021673224,0.00060340064,0.003494777,0.17729034,0.00014531362],"about_ca_topic_score_codex":0.989583,"about_ca_topic_score_gemma":0.993893,"teacher_disagreement_score":0.04662837,"about_ca_system_score_codex":0.04662837,"about_ca_system_score_gemma":0.10027084,"threshold_uncertainty_score":0.33831412},"labels":[],"label_agreement":null},{"id":"W7096727776","doi":"","title":"Productivity Growth and Trade Specialization","year":2007,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Productivity; Terms of trade; Nothing; Trade barrier; Trade theory; Free trade","score_opus":0.02617252111590956,"score_gpt":0.20293889633827658,"score_spread":0.17676637522236702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096727776","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":[0.78673524,0.00696507,0.0049167103,0.0076071504,0.00009701244,0.000025831316,0.0014553983,0.00012144275,0.19207616],"genre_scores_gemma":[0.9919132,0.0015834444,0.00020624386,0.0001406473,0.000098462195,0.0000040672458,0.00031107105,0.000009550252,0.0057332483],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962974,0.000050621475,0.000015539004,0.000060737257,0.00006338465,0.00018003715],"domain_scores_gemma":[0.9959376,0.0011955313,0.0011689789,0.00033394565,0.00054307276,0.0008209109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006448753,0.00029757296,0.0002971103,0.0020737832,0.0005188848,0.0017219686,0.00022068167,0.00043764236,0.011129152],"category_scores_gemma":[0.0049515157,0.00008980111,0.00039400224,0.0027592685,0.0013178857,0.0011751138,0.0012108784,0.00074359233,0.0011303314],"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":[0.00019919126,0.00010882602,0.6939287,0.00019772617,0.00022654113,0.0013551872,0.002739687,0.013905344,0.0014193614,0.16585712,0.010787121,0.10927512],"study_design_scores_gemma":[0.000037848396,0.00008575546,0.8095785,0.00019350725,0.0000915166,0.0012541099,0.003005666,0.009449944,0.0010826575,0.12846652,0.046716042,0.0000378125],"about_ca_topic_score_codex":0.02372371,"about_ca_topic_score_gemma":0.013977927,"teacher_disagreement_score":0.02372371,"about_ca_system_score_codex":0.0019800193,"about_ca_system_score_gemma":0.0010183206,"threshold_uncertainty_score":0.047171295},"labels":[],"label_agreement":null},{"id":"W7096809872","doi":"","title":"Running Title","year":2008,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Government (linguistics); Association (psychology); Statistician","score_opus":0.06035300089861689,"score_gpt":0.19347698962868135,"score_spread":0.13312398873006445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096809872","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00985997,0.008814998,0.0024658847,0.06003379,0.05545875,0.0004984063,0.12674475,0.002642097,0.7334814],"genre_scores_gemma":[0.028768612,0.004133794,0.0011468828,0.011945688,0.010018794,0.00039441983,0.04306291,0.0012422018,0.8992867],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992084,0.00010831976,0.000053053278,0.00030111524,0.00019062431,0.00013864285],"domain_scores_gemma":[0.9970053,0.0004303553,0.00028721592,0.00023611772,0.0008796702,0.0011613833],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00083044934,0.00063725834,0.0009547158,0.0011893717,0.001959963,0.003225641,0.0008868758,0.0022311087,0.76145095],"category_scores_gemma":[0.006017555,0.00026850254,0.00071517244,0.0016485418,0.00028319997,0.0026440786,0.0012946577,0.0020955119,0.47959754],"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":[0.00009465301,0.000019874493,0.0014592849,0.00021111395,0.000014636042,0.000053625172,0.000046475376,0.000022045726,0.000054367352,0.0016132544,0.96838266,0.028027946],"study_design_scores_gemma":[0.00004525647,0.000039541177,0.0056945165,0.00032346288,0.00002425576,0.000120241624,0.00014571568,0.000056977045,0.00010461369,0.0018389127,0.9915912,0.000015241299],"about_ca_topic_score_codex":0.004838879,"about_ca_topic_score_gemma":0.005930434,"teacher_disagreement_score":0.23854905,"about_ca_system_score_codex":0.0009506652,"about_ca_system_score_gemma":0.0041952617,"threshold_uncertainty_score":0.34026122},"labels":[],"label_agreement":null},{"id":"W7097151302","doi":"","title":"Animal Spirits meets Creative Destruction","year":2001,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Creative destruction; Disclaimer; Business cycle; Endogenous growth theory; Animal spirits; Prosperity; Volatility (finance); Productivity","score_opus":0.038811628721240714,"score_gpt":0.22060625085272917,"score_spread":0.18179462213148845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097151302","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":[0.15768301,0.005690134,0.20753635,0.032755207,0.0008657945,0.00007276082,0.00022443906,0.0002925114,0.59487975],"genre_scores_gemma":[0.95275307,0.001496148,0.014342762,0.0011872007,0.0003024492,0.000049195573,0.000048774757,0.000047866506,0.029772565],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99945265,0.00024127463,0.000017256076,0.0001151491,0.000094095136,0.00007951386],"domain_scores_gemma":[0.998024,0.0009678831,0.0004532506,0.00025639866,0.00010052625,0.00019792726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008685324,0.00029925263,0.0002607176,0.00058483944,0.001144349,0.0030879958,0.0005081621,0.0018644513,0.013428008],"category_scores_gemma":[0.003213674,0.00017427276,0.00052846555,0.00044618864,0.0046638628,0.0038127005,0.0025854488,0.0015513528,0.0016516682],"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":[0.000020592968,0.000012390348,0.00059180404,0.00003669448,0.0000071876552,0.0001392749,0.00027362534,0.0016794457,0.0004786276,0.9866139,0.0016066347,0.008539925],"study_design_scores_gemma":[0.000013523193,0.000031429834,0.00081135024,0.000034949473,0.0000066191997,0.00028495633,0.00021504876,0.00590826,0.00042259583,0.95919114,0.033069413,0.000010693463],"about_ca_topic_score_codex":0.0008485565,"about_ca_topic_score_gemma":0.00066412124,"teacher_disagreement_score":0.013428008,"about_ca_system_score_codex":0.0009602471,"about_ca_system_score_gemma":0.0006951811,"threshold_uncertainty_score":0.04492116},"labels":[],"label_agreement":null},{"id":"W7097329155","doi":"","title":"The Resurgence of Growth in the Late 1990s: Is Information Technology the Story?&amp;quot; working paper, Federal Reserve Board","year":2000,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Productivity; Information technology; Production (economics); Point (geometry); Quarter (Canadian coin)","score_opus":0.029837136244587635,"score_gpt":0.2109073869517416,"score_spread":0.18107025070715396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097329155","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06796182,0.08526334,0.0002387283,0.7552564,0.0021977283,0.000018675051,0.008748448,0.00012477985,0.08019014],"genre_scores_gemma":[0.7496275,0.14656879,0.0003645764,0.035944797,0.0039392225,0.00011127004,0.009252183,0.00013575758,0.054055948],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988801,0.00015170909,0.000074665535,0.00015333017,0.00032407197,0.00041605468],"domain_scores_gemma":[0.99628496,0.0011860745,0.00080382806,0.000121466524,0.0010278324,0.0005758297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029175123,0.000459496,0.0005782364,0.0029866064,0.00195883,0.008798238,0.00086608453,0.0049883225,0.011751575],"category_scores_gemma":[0.007438752,0.00030602448,0.0003767278,0.009209496,0.0012289042,0.0064987964,0.0013159417,0.0033025104,0.002683366],"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":[0.00016849517,0.00010450893,0.040911797,0.00024078916,0.00005620881,0.0004223719,0.0028454827,0.00045653613,0.00016193624,0.049922727,0.7933399,0.11136917],"study_design_scores_gemma":[0.000078987825,0.000062371284,0.16744015,0.0012293089,0.00009592666,0.000098770484,0.0058181244,0.0006424609,0.00044507315,0.019422363,0.80460066,0.000065754735],"about_ca_topic_score_codex":0.10116867,"about_ca_topic_score_gemma":0.09423894,"teacher_disagreement_score":0.10116867,"about_ca_system_score_codex":0.00799309,"about_ca_system_score_gemma":0.005216217,"threshold_uncertainty_score":0.2011596},"labels":[],"label_agreement":null},{"id":"W7097337616","doi":"","title":"Economic Analysis (EA) Research Paper Series Whatever Happened to Canada-U.S. Economic Growth and Productivity Performance in the Information Age?* by","year":2004,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Economic analysis; Productivity; Time series; Series (stratigraphy); Economic data; Economic indicator; Statistical analysis; Economic forecasting","score_opus":0.019127185896047495,"score_gpt":0.21443657924782017,"score_spread":0.19530939335177266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097337616","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":[0.03307743,0.071131885,0.0018685126,0.36904955,0.01589012,0.0001261379,0.13171618,0.00047407206,0.37666607],"genre_scores_gemma":[0.31714073,0.08254042,0.0026974573,0.011646099,0.0040780627,0.00009233475,0.050956137,0.00055308203,0.53029567],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981104,0.0001110895,0.00007080226,0.00018074493,0.0011002971,0.0004266886],"domain_scores_gemma":[0.98618084,0.0010232432,0.00052013516,0.00039663282,0.0108923055,0.0009868952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002050565,0.000442217,0.0008069986,0.0038333682,0.0027696257,0.0064111343,0.00068373233,0.0011110229,0.04336507],"category_scores_gemma":[0.0118865715,0.00021564862,0.00038746098,0.010212341,0.0013224442,0.0023165718,0.00091000495,0.0020607726,0.005620668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006856393,0.000022243257,0.011667284,0.000094470524,0.000039672526,0.000043331813,0.00020812683,0.000337695,0.0000626572,0.03228218,0.9173977,0.037776053],"study_design_scores_gemma":[0.000031674477,0.000021603888,0.094363414,0.00053399685,0.00008637698,0.00004076177,0.001649888,0.0010329664,0.00069381774,0.012630529,0.88886,0.00005493357],"about_ca_topic_score_codex":0.9585389,"about_ca_topic_score_gemma":0.9673968,"teacher_disagreement_score":0.04773067,"about_ca_system_score_codex":0.04773067,"about_ca_system_score_gemma":0.06597568,"threshold_uncertainty_score":0.34631187},"labels":[],"label_agreement":null},{"id":"W7097442933","doi":"","title":"Productivity and innovation in Canada:","year":2015,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"","score_opus":0.05986902412225256,"score_gpt":0.20131861476520915,"score_spread":0.1414495906429566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097442933","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8201244,0.03959661,0.001020976,0.06651514,0.0007885617,0.0000901808,0.03018406,0.00017743984,0.04150265],"genre_scores_gemma":[0.9565883,0.010817501,0.00042483475,0.0011121752,0.00013825986,0.000019143843,0.0040345094,0.00003400696,0.026831282],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978636,0.00009529728,0.00008281308,0.00019176387,0.00077378564,0.0009928282],"domain_scores_gemma":[0.9919727,0.00064641563,0.0006867481,0.00012433973,0.0042778957,0.002291962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015641811,0.00051292847,0.0008427021,0.0037565182,0.0038177313,0.0051158234,0.0014410005,0.0017577952,0.0070424927],"category_scores_gemma":[0.006839187,0.0002800769,0.0011895048,0.010436436,0.0014627548,0.0015615945,0.0020363561,0.0024037415,0.00051938876],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053177984,0.00030749376,0.7468399,0.00054585875,0.00055398303,0.00086915254,0.0032357674,0.007970835,0.00025276904,0.05926886,0.08721199,0.092411585],"study_design_scores_gemma":[0.00008421926,0.000054939937,0.92270976,0.0005230438,0.0002913877,0.00013106644,0.0057601663,0.0063604666,0.00041817053,0.005295074,0.058253486,0.000118363285],"about_ca_topic_score_codex":0.99886775,"about_ca_topic_score_gemma":0.9992551,"teacher_disagreement_score":0.12972763,"about_ca_system_score_codex":0.12972763,"about_ca_system_score_gemma":0.22465026,"threshold_uncertainty_score":0.94124424},"labels":[],"label_agreement":null},{"id":"W7097512249","doi":"","title":"Time Series Tests of the Solow Growth Model","year":2005,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Per capita income; Real gross domestic product; Per capita; Growth rate; Permanent income hypothesis; Time series; Endogenous growth theory; Income distribution","score_opus":0.01993263653661843,"score_gpt":0.18263317542886376,"score_spread":0.16270053889224534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097512249","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":[0.71003276,0.00044403333,0.2712574,0.002089177,0.0002006464,0.00018252172,0.001605227,0.00068931206,0.013498883],"genre_scores_gemma":[0.98417217,0.00013746989,0.012291783,0.00012953572,0.000093037816,0.00019142313,0.00078702567,0.00006214155,0.0021355324],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9961261,0.0021202234,0.00020014698,0.000578351,0.0005858104,0.00038948684],"domain_scores_gemma":[0.9644701,0.027543606,0.0043444177,0.0017837089,0.0011890418,0.0006691065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011808624,0.0007541803,0.0012475644,0.0027133694,0.0008534538,0.0018778131,0.0015765325,0.0009020108,0.010790745],"category_scores_gemma":[0.037815806,0.00025387207,0.0016734377,0.0019721547,0.0017571929,0.0020999128,0.0017529733,0.0015149892,0.00074638485],"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":[0.0013765197,0.0005344821,0.16025174,0.00029990767,0.0024318588,0.0012372071,0.0018902705,0.23522605,0.002567749,0.49203157,0.0070820446,0.095070645],"study_design_scores_gemma":[0.00017352053,0.00093451794,0.025124915,0.000047202127,0.00017491383,0.00019587755,0.00078176893,0.78599024,0.0021327438,0.17930385,0.005058281,0.0000821503],"about_ca_topic_score_codex":0.0036293403,"about_ca_topic_score_gemma":0.0017176257,"teacher_disagreement_score":0.011808624,"about_ca_system_score_codex":0.00092055823,"about_ca_system_score_gemma":0.0010515196,"threshold_uncertainty_score":0.062450707},"labels":[],"label_agreement":null},{"id":"W7097544262","doi":"","title":"Estimating Capacity Utilization Using a SVAR Model: An Application to the US and Canadian Economies","year":2015,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Constructive; Estimation; Synchronization (alternating current); Economies of scale; Degree (music)","score_opus":0.13647787570945946,"score_gpt":0.25273230931755203,"score_spread":0.11625443360809257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097544262","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":[0.8337205,0.0014821334,0.14725472,0.0020196652,0.000068151865,0.00018829327,0.0024059396,0.00060387875,0.012256766],"genre_scores_gemma":[0.9615899,0.0006896713,0.033965725,0.000070173766,0.000019045878,0.000041672844,0.0010287354,0.00006597574,0.0025291003],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894136,0.0004411059,0.000041735693,0.0001405287,0.00022272594,0.0002126833],"domain_scores_gemma":[0.9960062,0.0023328348,0.00033474984,0.00023961421,0.0009247131,0.00016199506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004892669,0.00077416206,0.00097581756,0.0020046483,0.0013402642,0.001556293,0.0017870723,0.00069253077,0.0016069952],"category_scores_gemma":[0.01419192,0.00036022876,0.0009575064,0.0038704628,0.00087421236,0.0009829795,0.0012908237,0.0015737907,0.00013588335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015372744,0.000083826344,0.048696876,0.00009257314,0.00022262889,0.00023691403,0.0004151134,0.86008096,0.0003403926,0.04417352,0.0038960942,0.041607395],"study_design_scores_gemma":[0.000030022573,0.000025961292,0.014629141,0.000024773808,0.00005125103,0.00003429058,0.00045796795,0.97242177,0.00034878796,0.00953787,0.0023781576,0.00006005302],"about_ca_topic_score_codex":0.9452655,"about_ca_topic_score_gemma":0.90079767,"teacher_disagreement_score":0.054734528,"about_ca_system_score_codex":0.010253314,"about_ca_system_score_gemma":0.010066311,"threshold_uncertainty_score":0.11011368},"labels":[],"label_agreement":null},{"id":"W7097564667","doi":"","title":"Sheepskin Effects of Investment in Schooling: Do They Signal Family Background? Case of Pakistan","year":2016,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Robustness (evolution); Investment (military); Work (physics); Order (exchange); Set (abstract data type); Empirical research","score_opus":0.026384390572957966,"score_gpt":0.2354165794614154,"score_spread":0.20903218888845743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097564667","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":[0.997136,0.00010650696,0.00033280964,0.00041077877,0.0000032014138,0.0000065580716,0.00020079405,0.000002234118,0.0018011023],"genre_scores_gemma":[0.9995178,0.00006947777,0.00008746712,0.000022277127,0.000003506143,0.0000028946254,0.00006141862,7.299186e-7,0.00023452214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926037,0.00032151968,0.00003065206,0.00014210073,0.000055961864,0.00018945182],"domain_scores_gemma":[0.9931265,0.0034135545,0.00213194,0.00047785562,0.00037703506,0.0004730083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013629755,0.00018545425,0.0005041103,0.0007708792,0.0013004898,0.00083341217,0.00046274095,0.0005804083,0.0041129305],"category_scores_gemma":[0.0050125574,0.00014289029,0.00035029196,0.0011193452,0.0011760388,0.0006893513,0.0009438508,0.00096831913,0.00022461201],"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":[0.00032239332,0.00014320423,0.9746143,0.00003864875,0.00013176208,0.0041697267,0.0022360315,0.0020095592,0.00037892457,0.007259279,0.00076271064,0.007933447],"study_design_scores_gemma":[0.00005068895,0.00020581776,0.9743484,0.000044104847,0.00018527918,0.0009870353,0.009664538,0.008341668,0.00050137285,0.003825258,0.0018120247,0.000033755012],"about_ca_topic_score_codex":0.08886534,"about_ca_topic_score_gemma":0.06311864,"teacher_disagreement_score":0.08886534,"about_ca_system_score_codex":0.00079483114,"about_ca_system_score_gemma":0.00073487574,"threshold_uncertainty_score":0.17669618},"labels":[],"label_agreement":null},{"id":"W7097580923","doi":"","title":"Canada-U.S. ICT Investment in 2011: The Gap Narrows","year":2013,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Information and Communications Technology; Investment (military); Productivity; Pace; Stock (firearms); Information technology; Business sector","score_opus":0.03055590033751983,"score_gpt":0.17479045970083248,"score_spread":0.14423455936331264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097580923","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":[0.81546575,0.008265086,0.0006608031,0.02460761,0.00017281725,0.00006322323,0.053405374,0.00015828261,0.097201064],"genre_scores_gemma":[0.96375364,0.0024139192,0.0005554469,0.0011692895,0.000024090343,0.000024314018,0.012891437,0.000025853327,0.019142045],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989103,0.000025213469,0.00003674049,0.000090030306,0.00046601595,0.00047164006],"domain_scores_gemma":[0.99713093,0.00016881303,0.00032952058,0.000049640406,0.0017596779,0.0005614911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006184392,0.0001943154,0.00039731516,0.0019837155,0.0022262852,0.0026144984,0.00053569267,0.0005282905,0.0035161802],"category_scores_gemma":[0.003705443,0.00016657144,0.00033006587,0.006974689,0.00058287504,0.0009807504,0.0014315541,0.0010301473,0.0003229743],"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":[0.00045659664,0.00011461452,0.6450598,0.00042583482,0.000103541635,0.00064358104,0.0071195983,0.002794266,0.00059415173,0.057428528,0.13526924,0.14999025],"study_design_scores_gemma":[0.000011110004,0.000019352203,0.9126914,0.00015133999,0.000028023505,0.00009232578,0.004287678,0.0011330416,0.0004659586,0.0007780506,0.08031486,0.000026896227],"about_ca_topic_score_codex":0.99490273,"about_ca_topic_score_gemma":0.9969386,"teacher_disagreement_score":0.051369403,"about_ca_system_score_codex":0.051369403,"about_ca_system_score_gemma":0.07975288,"threshold_uncertainty_score":0.3727128},"labels":[],"label_agreement":null},{"id":"W7097625714","doi":"","title":"Sectoral Contributions to Labour Productivity Growth","year":2012,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Productivity; Decomposition; Aggregate (composite); Sectoral analysis; Multifactor productivity; Measure (data warehouse); Business sector","score_opus":0.02692936890965979,"score_gpt":0.23622607733050097,"score_spread":0.20929670842084117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097625714","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":[0.9567332,0.0013813075,0.011706085,0.00035142797,0.000037357382,0.00008778119,0.006420376,0.00020162995,0.02308084],"genre_scores_gemma":[0.98507327,0.0010426154,0.003254189,0.000024778612,0.000016037104,0.000036285706,0.0035467232,0.000022135531,0.006983965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990671,0.000107035914,0.000051964245,0.00010254234,0.00046392143,0.0002075276],"domain_scores_gemma":[0.99818414,0.00033147726,0.00041909024,0.00011380446,0.00083956734,0.000111830326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010717583,0.0005638602,0.00031003775,0.003884816,0.0005314299,0.0011861783,0.0003691391,0.00016729328,0.0017365308],"category_scores_gemma":[0.0036423423,0.0001815427,0.0009263795,0.004333312,0.00053345604,0.00043553798,0.0009602613,0.0004187919,0.00038232416],"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":[0.0002190741,0.000027862985,0.7844557,0.00016147473,0.00028265014,0.00031634382,0.0019620708,0.03416975,0.0019598638,0.013174371,0.0029736608,0.16029716],"study_design_scores_gemma":[0.000016318323,0.00005398563,0.9293661,0.000090906564,0.00014464234,0.000324626,0.00152811,0.035740685,0.0023119277,0.005056343,0.02532198,0.000044380737],"about_ca_topic_score_codex":0.55492777,"about_ca_topic_score_gemma":0.62045765,"teacher_disagreement_score":0.55492777,"about_ca_system_score_codex":0.008933554,"about_ca_system_score_gemma":0.0070007388,"threshold_uncertainty_score":0.8953867},"labels":[],"label_agreement":null},{"id":"W7097636390","doi":"","title":"1 An Empirical Analysis of the Effect of Growth on Inflation,","year":2001,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Inflation (cosmology); Yield (engineering); Real interest rate; Inflation rate; Variety (cybernetics); Growth rate; Relative price","score_opus":0.022257082529665365,"score_gpt":0.24793199146339379,"score_spread":0.22567490893372844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097636390","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":[0.67651266,0.04586303,0.022773767,0.031079317,0.000909632,0.00015949336,0.022581311,0.00062670466,0.19949411],"genre_scores_gemma":[0.96167153,0.014156444,0.0018557997,0.0011040953,0.00062798796,0.00004892177,0.0059449365,0.00008171817,0.014508652],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990396,0.00040894767,0.000051158713,0.00013498426,0.00027119333,0.000094042356],"domain_scores_gemma":[0.9880873,0.0070123896,0.0030058592,0.00043047278,0.0012401245,0.00022387403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001409516,0.00040862252,0.00035851847,0.0017186955,0.00037281215,0.0010067294,0.0003466113,0.0005576932,0.01216712],"category_scores_gemma":[0.016750695,0.00017685135,0.0005486013,0.0036759637,0.00062419806,0.00089211855,0.00062920334,0.0010584889,0.0032162443],"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":[0.00033957575,0.00029133423,0.68033403,0.001149137,0.0005377695,0.00041394704,0.0011217142,0.010743216,0.0006467531,0.099552244,0.06866678,0.13620354],"study_design_scores_gemma":[0.000023777517,0.00019145067,0.90477014,0.0004432217,0.00023511877,0.00041973992,0.0006907856,0.012011842,0.0012487201,0.02490605,0.055018704,0.00004033821],"about_ca_topic_score_codex":0.012557325,"about_ca_topic_score_gemma":0.011639129,"teacher_disagreement_score":0.012557325,"about_ca_system_score_codex":0.0011269421,"about_ca_system_score_gemma":0.0008049296,"threshold_uncertainty_score":0.040703118},"labels":[],"label_agreement":null},{"id":"W7097664272","doi":"","title":"Increased Stability in Twelfth District Employment Growth","year":2003,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Nonfarm payrolls; Volatility (finance); Variance (accounting); Business cycle; Quarter (Canadian coin); Annual growth %","score_opus":0.034600506975067474,"score_gpt":0.2042003452986411,"score_spread":0.16959983832357362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097664272","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":[0.9866013,0.00030136402,0.0008034297,0.0005619771,0.000030417012,0.000008910457,0.0015934358,0.000057252768,0.010041986],"genre_scores_gemma":[0.9950364,0.000101866004,0.00014063556,0.00004408483,0.000014292866,0.0000042162565,0.0009835897,0.000011877282,0.0036630656],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953115,0.000042236876,0.00001938877,0.00010962843,0.00007615503,0.00022139892],"domain_scores_gemma":[0.99894017,0.00009166631,0.0002666702,0.00010814082,0.0004018084,0.00019158321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032616607,0.00009254556,0.00019578444,0.0016743722,0.0009078026,0.0016901619,0.00045612847,0.0002634658,0.0061758715],"category_scores_gemma":[0.0019887572,0.00011341798,0.00022585671,0.0021338766,0.00033738595,0.0006033332,0.0014090334,0.00050721114,0.00078900834],"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":[0.00038603903,0.000087280525,0.90671235,0.000117630145,0.00010696108,0.00057147647,0.0057060216,0.0025583555,0.004198723,0.008819415,0.0069577903,0.063778035],"study_design_scores_gemma":[0.0000042586926,0.00003217579,0.9856146,0.000017031569,0.00000626814,0.00009953161,0.0018279328,0.00066610717,0.00060889125,0.00041315518,0.010697254,0.000012795581],"about_ca_topic_score_codex":0.048055407,"about_ca_topic_score_gemma":0.09152075,"teacher_disagreement_score":0.048055407,"about_ca_system_score_codex":0.0021453144,"about_ca_system_score_gemma":0.00060369156,"threshold_uncertainty_score":0.09555137},"labels":[],"label_agreement":null},{"id":"W7097677781","doi":"","title":"PRELIMINARY","year":2012,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Total factor productivity; Productivity; Shock (circulatory); Production (economics); Labor intensity; Technological change; Point (geometry); Panel data","score_opus":0.041920444542937814,"score_gpt":0.2067725645901227,"score_spread":0.16485212004718489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097677781","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026625255,0.0021903634,0.0062299357,0.016094683,0.013361839,0.00053476926,0.031064838,0.0031656711,0.9246954],"genre_scores_gemma":[0.0136062885,0.0015212387,0.0036600789,0.0033266621,0.0018171058,0.00022957042,0.01959043,0.0011510432,0.9550975],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99840254,0.00020753435,0.00010900182,0.00034995802,0.0007031552,0.00022778826],"domain_scores_gemma":[0.9957301,0.0004361048,0.00013056134,0.0007783311,0.002244766,0.00068014517],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017780159,0.00095098914,0.0007429637,0.002528943,0.0030920398,0.0057981135,0.0020762368,0.0026853534,0.6916755],"category_scores_gemma":[0.006838332,0.00048369294,0.0009671228,0.0025112664,0.00082527054,0.0035438335,0.00348127,0.0023829592,0.46746412],"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":[0.00009986467,0.00005460695,0.0004602986,0.00019584951,0.00000867303,0.0001261676,0.00016961263,0.00012782733,0.00035873483,0.016606338,0.9102171,0.071575046],"study_design_scores_gemma":[0.000009344646,0.000016622624,0.00047601937,0.00007579902,0.0000035249495,0.00006481363,0.0000722811,0.00004966543,0.0001660416,0.0022980594,0.9967615,0.0000063535986],"about_ca_topic_score_codex":0.008978917,"about_ca_topic_score_gemma":0.013076863,"teacher_disagreement_score":0.30832452,"about_ca_system_score_codex":0.0028878972,"about_ca_system_score_gemma":0.0046689017,"threshold_uncertainty_score":0.4397875},"labels":[],"label_agreement":null},{"id":"W7097755391","doi":"","title":"Productivity Slowdown","year":2016,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Productivity; Field (mathematics); Slowdown; Focus (optics); Identification (biology); Empirical research","score_opus":0.030297101731095923,"score_gpt":0.19156535335839125,"score_spread":0.16126825162729533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097755391","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06610098,0.08268789,0.01881491,0.46716857,0.011219793,0.00051886303,0.0108431615,0.0021224434,0.34052345],"genre_scores_gemma":[0.6597793,0.08556471,0.011954483,0.061257333,0.010555399,0.0007803785,0.006598563,0.0008328857,0.16267703],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9775482,0.0050507174,0.0013802915,0.003923518,0.00900498,0.0030922373],"domain_scores_gemma":[0.9018195,0.029632967,0.009207624,0.013952255,0.031910237,0.013477451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.028726548,0.0016830837,0.0017325933,0.011163767,0.0035365012,0.01758329,0.0043049087,0.004588394,0.0716577],"category_scores_gemma":[0.059018314,0.00087708957,0.0024334476,0.014786678,0.0038356378,0.011573762,0.0062628025,0.005959902,0.029995147],"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":[0.00033275492,0.0002808067,0.026606448,0.002191473,0.00032771227,0.00036243908,0.0037162157,0.0010499172,0.0010227959,0.27987048,0.340033,0.34420604],"study_design_scores_gemma":[0.00009688699,0.00014118473,0.03421663,0.0014063162,0.000092220645,0.00024726783,0.006516951,0.0012526545,0.0008413791,0.03842846,0.9166947,0.000065414555],"about_ca_topic_score_codex":0.049251575,"about_ca_topic_score_gemma":0.03967181,"teacher_disagreement_score":0.0716577,"about_ca_system_score_codex":0.018744798,"about_ca_system_score_gemma":0.030143443,"threshold_uncertainty_score":0.23971891},"labels":[],"label_agreement":null},{"id":"W7097817743","doi":"","title":"ISSN 0924-7815Neoclassical Growth Accounting and Frontier Analysis: A Synthesis","year":2000,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Total factor productivity; Growth accounting; Productivity; Measure (data warehouse); Frontier; Value (mathematics); Technical progress; Solow residual; Production–possibility frontier","score_opus":0.013970235817274017,"score_gpt":0.18102788829761748,"score_spread":0.16705765248034346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097817743","genre_codex":"review","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":[0.0035473183,0.7691171,0.04730703,0.0074574817,0.00256632,0.000156205,0.0026977106,0.00022259912,0.16692825],"genre_scores_gemma":[0.068063885,0.8500935,0.030110007,0.0006985012,0.0023505867,0.00027553743,0.0027178337,0.00014684121,0.04554328],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99888486,0.00029512856,0.00010650183,0.00010372651,0.0005492546,0.00006048543],"domain_scores_gemma":[0.996911,0.0012336089,0.00031860766,0.00031911276,0.0011264426,0.00009116648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030116802,0.0010553685,0.001098042,0.011655994,0.0006962051,0.0054781027,0.0010768273,0.0009140927,0.03423835],"category_scores_gemma":[0.008549725,0.0005489005,0.00043670347,0.023438476,0.0018732107,0.003740895,0.0015079704,0.0012074998,0.004800563],"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":[0.00004742236,0.00006506194,0.001162871,0.0042750803,0.000053264615,0.000059743386,0.00034270476,0.008327933,0.00025252314,0.20019461,0.04380877,0.74140996],"study_design_scores_gemma":[0.000009025451,0.000022325086,0.0059514553,0.005793676,0.000042798016,0.000087786844,0.00046842566,0.0033759938,0.00036412082,0.081405535,0.9024416,0.000037315283],"about_ca_topic_score_codex":0.02827988,"about_ca_topic_score_gemma":0.025510868,"teacher_disagreement_score":0.03423835,"about_ca_system_score_codex":0.008704239,"about_ca_system_score_gemma":0.0064783115,"threshold_uncertainty_score":0.11453867},"labels":[],"label_agreement":null},{"id":"W7097869155","doi":"","title":"N.º 1037NOWCASTING SPANISH GDP GROWTH IN REAL TIME: “ONE AND A HALF MONTHS EARLIER ” NOWCASTING SPANISH GDP GROWTH IN REAL TIME: “ONE AND A HALF MONTHS EARLIER”","year":2010,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Nowcasting; Publishing; The Internet; Quarter (Canadian coin); Economic forecasting; Economic analysis","score_opus":0.021642635122357083,"score_gpt":0.20363041626062434,"score_spread":0.18198778113826725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097869155","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":[0.0159473,0.060255777,0.009801898,0.18690124,0.2024789,0.00027309777,0.113282174,0.0027537572,0.4083058],"genre_scores_gemma":[0.13016936,0.036497444,0.0075725336,0.012671899,0.023259971,0.0003346147,0.09194044,0.002769833,0.69478387],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919146,0.00010783524,0.00005316867,0.00016677544,0.00039131017,0.000089497],"domain_scores_gemma":[0.9962853,0.00059418863,0.00040714676,0.00034182373,0.0020882215,0.00028328682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013602757,0.00093951804,0.00067592016,0.0022697344,0.00076055934,0.0038359512,0.00096393574,0.0017197374,0.09719888],"category_scores_gemma":[0.0071912203,0.0002545665,0.00059529045,0.004403189,0.0005058443,0.0021555708,0.001863376,0.0031936106,0.035262536],"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":[0.00011591041,0.000015957323,0.0011021236,0.00019406546,0.000015083011,0.00007275456,0.00009362215,0.00018301628,0.00028416433,0.0053434568,0.9518206,0.04075929],"study_design_scores_gemma":[0.000023397848,0.000015661886,0.0071316957,0.00028811634,0.000012608537,0.00004338219,0.00021617144,0.00035155867,0.0005802135,0.0028202436,0.98849595,0.000021145835],"about_ca_topic_score_codex":0.041368995,"about_ca_topic_score_gemma":0.03509856,"teacher_disagreement_score":0.09719888,"about_ca_system_score_codex":0.0030337106,"about_ca_system_score_gemma":0.0023138346,"threshold_uncertainty_score":0.32516265},"labels":[],"label_agreement":null},{"id":"W7097985876","doi":"","title":"DO COMPUTERS CONTRIBUTE TO productivity","year":2014,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Information and Communications Technology; Productivity; Investment (military); Service (business); Productivity paradox; Information technology","score_opus":0.022270335222973288,"score_gpt":0.20125283885273643,"score_spread":0.17898250362976315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097985876","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":[0.48989332,0.029605914,0.002747819,0.056380264,0.0007637691,0.000062046944,0.0037162814,0.0003490276,0.41648155],"genre_scores_gemma":[0.98272866,0.007267047,0.000226427,0.0009019193,0.00031309444,0.000008641204,0.00039564905,0.000030408022,0.008128122],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883515,0.00019767278,0.000029179795,0.00014707862,0.0003099564,0.00048099167],"domain_scores_gemma":[0.9929014,0.0025729742,0.0015102939,0.00048734658,0.0015320817,0.0009958794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012000729,0.00058101414,0.00033998743,0.0022120273,0.0008167933,0.004577478,0.00051779044,0.00090180885,0.013457895],"category_scores_gemma":[0.009867818,0.00015085826,0.00041583017,0.003749483,0.0024379012,0.0018092722,0.0011623275,0.000930071,0.0030712879],"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":[0.00050903135,0.00027147488,0.47667897,0.0006529246,0.00028137214,0.00053065637,0.003967962,0.007126629,0.0013081345,0.088951446,0.044406544,0.37531498],"study_design_scores_gemma":[0.00010769421,0.00012601925,0.6585276,0.00079627096,0.00030617436,0.0002427467,0.0060415845,0.0040252944,0.0021896295,0.08236237,0.24521631,0.000058301423],"about_ca_topic_score_codex":0.17028396,"about_ca_topic_score_gemma":0.08474778,"teacher_disagreement_score":0.17028396,"about_ca_system_score_codex":0.004306602,"about_ca_system_score_gemma":0.0048800143,"threshold_uncertainty_score":0.33858562},"labels":[],"label_agreement":null},{"id":"W7097999424","doi":"","title":"The Contribution of U.S. R&amp;amp;D Spending to Manufacturing Productivity Growth in Canada","year":2000,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Productivity; Production (economics); Multifactor productivity; Government (linguistics); Manufacturing sector","score_opus":0.02266649847093623,"score_gpt":0.201990055638916,"score_spread":0.17932355716797976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097999424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89572394,0.00975742,0.00043354274,0.042066418,0.00025044792,0.000036453595,0.014810591,0.000090325186,0.03683093],"genre_scores_gemma":[0.98748326,0.003318221,0.00013812393,0.00049343746,0.000054666776,0.000004899324,0.0012531753,0.000016765092,0.0072374973],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854016,0.00008031219,0.000056320743,0.00011039367,0.00044357657,0.00076926255],"domain_scores_gemma":[0.99266326,0.00059933506,0.0007117158,0.00010414485,0.004222,0.0016996333],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00083312317,0.00022854676,0.00034357092,0.002340157,0.002198325,0.0029935462,0.0008609306,0.0007542242,0.0035566133],"category_scores_gemma":[0.0076550506,0.0002443758,0.0004968326,0.0043330058,0.0009289352,0.00062127947,0.0013165909,0.0016205698,0.00030149033],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029487483,0.000066027096,0.8536056,0.0002078829,0.00024004723,0.00046857362,0.0016754284,0.009079164,0.00047176817,0.028861167,0.04905549,0.055973925],"study_design_scores_gemma":[0.000028135772,0.000019449568,0.95688695,0.00017555199,0.00020911075,0.000117927164,0.0027496463,0.0058354414,0.00055931165,0.0017298772,0.031648897,0.000039635364],"about_ca_topic_score_codex":0.9978823,"about_ca_topic_score_gemma":0.9989034,"teacher_disagreement_score":0.9991669,"about_ca_system_score_codex":0.08544155,"about_ca_system_score_gemma":0.11952337,"threshold_uncertainty_score":0.6199248},"labels":[],"label_agreement":null},{"id":"W7100076974","doi":"","title":"Technology Shocks and Business Cycles: The Role of Processing Stages and Nominal Rigidities","year":2007,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Empirical research; Business cycle; Empirical evidence; Production (economics)","score_opus":0.013293355901585854,"score_gpt":0.20164615277723205,"score_spread":0.1883527968756462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100076974","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":[0.9298634,0.006016183,0.003343918,0.012840498,0.00008695253,0.00007709984,0.005349501,0.00008445308,0.04233809],"genre_scores_gemma":[0.9877001,0.003118067,0.0004261851,0.00015370313,0.000034186087,0.0000081698445,0.0010262862,0.000022745864,0.0075105364],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997588,0.000031303865,0.000012329785,0.000029656705,0.00005701638,0.00011100142],"domain_scores_gemma":[0.9954371,0.0015524367,0.0012871306,0.00016639997,0.0007606183,0.00079623447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087768404,0.00027281343,0.00044193654,0.0009931509,0.0011911925,0.0049103424,0.0004558077,0.0008834128,0.008911442],"category_scores_gemma":[0.008028291,0.00041424623,0.0004119388,0.002183079,0.0012306167,0.0013751789,0.0006192721,0.001153554,0.0007352238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002366838,0.0001696258,0.6520266,0.000312498,0.00028965346,0.000579887,0.0026336513,0.052300137,0.002833815,0.18269576,0.023232564,0.080559],"study_design_scores_gemma":[0.00011426489,0.00007505283,0.8771705,0.00022598145,0.00022356644,0.00008279907,0.0016426512,0.027889129,0.0010095605,0.06848509,0.022961797,0.0001195586],"about_ca_topic_score_codex":0.7415646,"about_ca_topic_score_gemma":0.6906239,"teacher_disagreement_score":0.7415646,"about_ca_system_score_codex":0.006243634,"about_ca_system_score_gemma":0.00946792,"threshold_uncertainty_score":0.51991475},"labels":[],"label_agreement":null},{"id":"W7100087203","doi":"","title":"Real-Time Nowcasting of GDP: Factor Model versus","year":2011,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Nowcasting; Dynamic factor; Track (disk drive); Quarter (Canadian coin); Recession; Product (mathematics); Gross domestic product","score_opus":0.13741805107302854,"score_gpt":0.22388069924472268,"score_spread":0.08646264817169413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100087203","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":[0.539805,0.001846564,0.44535047,0.0011951405,0.00045694198,0.00008532051,0.003396547,0.0012911567,0.0065728314],"genre_scores_gemma":[0.92980546,0.0007567241,0.06297329,0.00008275791,0.0002302346,0.000029458422,0.0042989473,0.00013883659,0.0016843457],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926955,0.00026772404,0.000046148823,0.00024281516,0.00010665629,0.00006716036],"domain_scores_gemma":[0.99522674,0.0024735115,0.000526949,0.0013225696,0.00035141493,0.00009873281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028032453,0.00066287274,0.00084662176,0.00084126,0.00022038603,0.0019123545,0.001106798,0.00078902824,0.0017996012],"category_scores_gemma":[0.015084368,0.00034546902,0.0008940029,0.0010761839,0.00038226641,0.0027678446,0.0007024368,0.0016212796,0.0004989005],"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":[0.0005592077,0.00009842168,0.024701523,0.0001349455,0.000339518,0.00011601996,0.00015631336,0.8594454,0.0013983786,0.017114023,0.0024374414,0.09349888],"study_design_scores_gemma":[0.000030099554,0.000060614024,0.0066436087,0.000023499126,0.000045854602,0.000042775442,0.00004675976,0.98304707,0.0011129718,0.006955934,0.0019552852,0.000035618643],"about_ca_topic_score_codex":0.02967484,"about_ca_topic_score_gemma":0.01676133,"teacher_disagreement_score":0.02967484,"about_ca_system_score_codex":0.0005662814,"about_ca_system_score_gemma":0.0008640148,"threshold_uncertainty_score":0.059004188},"labels":[],"label_agreement":null},{"id":"W7100125950","doi":"","title":"Insights into Canada’s Abysmal Post-2000 Productivity Performance from","year":2010,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Productivity; Multifactor productivity; Slowdown; Total factor productivity; Capital (architecture); Manufacturing sector; Manufacturing; Capital equipment","score_opus":0.010068303696025986,"score_gpt":0.16336677225670157,"score_spread":0.15329846856067558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100125950","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":[0.8685387,0.0073140687,0.001099165,0.017541254,0.00014151692,0.000056990575,0.04356807,0.00013330189,0.061606888],"genre_scores_gemma":[0.97205406,0.002096762,0.00042505335,0.00027421894,0.000027805754,0.000012734968,0.011830821,0.0000242902,0.013254175],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99804115,0.000056589342,0.000056179382,0.00014990174,0.0009853336,0.0007108526],"domain_scores_gemma":[0.995033,0.00034662956,0.0004322007,0.00014043698,0.0035308332,0.0005167711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015617715,0.0003974544,0.00032699987,0.0032681185,0.0017688855,0.0025625243,0.00078130164,0.00039133176,0.0035616613],"category_scores_gemma":[0.005503597,0.00021037196,0.00041461125,0.007695956,0.0006013873,0.0007343195,0.0010015869,0.0010451055,0.00046289514],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047157693,0.000110500405,0.7342763,0.00037153703,0.00019301627,0.0006285585,0.008480626,0.006084514,0.0013837318,0.029760526,0.05702725,0.16121186],"study_design_scores_gemma":[0.0000064806,0.000021093041,0.9698323,0.00006445594,0.000015348776,0.000029000803,0.0009508762,0.0009649729,0.00035842866,0.0003145953,0.027425991,0.000016499233],"about_ca_topic_score_codex":0.9942888,"about_ca_topic_score_gemma":0.9962262,"teacher_disagreement_score":0.055205017,"about_ca_system_score_codex":0.055205017,"about_ca_system_score_gemma":0.055179592,"threshold_uncertainty_score":0.40054232},"labels":[],"label_agreement":null},{"id":"W7100135863","doi":"","title":"Reexamination of real business . . .","year":2007,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Counterfactual thinking; Business cycle; Capital (architecture); Variable (mathematics); Class (philosophy); General equilibrium theory; Economic model; Work (physics); Labour supply","score_opus":0.031825616510936315,"score_gpt":0.21372529545412944,"score_spread":0.18189967894319312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100135863","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":[0.39335376,0.02317033,0.108359076,0.06525743,0.002358167,0.00010873083,0.016644401,0.0009669248,0.38978112],"genre_scores_gemma":[0.9195457,0.009479239,0.0153524475,0.0012159846,0.00032225056,0.000047863112,0.0030745554,0.00012135386,0.05084068],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99983525,0.000042051994,0.000008315522,0.000039976334,0.000058702823,0.000015624622],"domain_scores_gemma":[0.9992843,0.00020485978,0.00013396675,0.00015503244,0.00018756441,0.000034174078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004150193,0.00025626482,0.00017886843,0.00094942196,0.00043253868,0.0020496987,0.0005480066,0.0005567967,0.012217066],"category_scores_gemma":[0.0029736215,0.00012717284,0.00022051971,0.0014438089,0.00060809444,0.0020874974,0.0004883831,0.00079248776,0.0016777416],"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":[0.00009145934,0.00009804307,0.008408179,0.00032584905,0.0000245596,0.00041574906,0.00091772346,0.011505344,0.0011784579,0.7863377,0.037663836,0.1530332],"study_design_scores_gemma":[0.000021602802,0.000040962597,0.018532012,0.000328606,0.000022491762,0.000457831,0.0013355651,0.041898753,0.0014911046,0.25006747,0.68576366,0.000040015875],"about_ca_topic_score_codex":0.016280837,"about_ca_topic_score_gemma":0.012018392,"teacher_disagreement_score":0.016280837,"about_ca_system_score_codex":0.0015180078,"about_ca_system_score_gemma":0.0008002639,"threshold_uncertainty_score":0.04087019},"labels":[],"label_agreement":null},{"id":"W7100147768","doi":"","title":"on The Great Depression in Canada and","year":2001,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Great Depression; Total factor productivity; Depression (economics); Competition (biology); Productivity","score_opus":0.023266346476859646,"score_gpt":0.17123039436659487,"score_spread":0.14796404788973522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100147768","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6896073,0.009595725,0.00044718027,0.082690604,0.000628256,0.00003966858,0.0073092,0.00007562464,0.20960647],"genre_scores_gemma":[0.9737467,0.002991981,0.00012299804,0.0028758293,0.000055755943,0.0000062949202,0.0010282528,0.000014768093,0.019157438],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995993,0.000020302743,0.000005928314,0.0000338224,0.00008610856,0.00025447778],"domain_scores_gemma":[0.9994886,0.000018531711,0.000048365942,0.000013595899,0.0002521444,0.00017882427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002573458,0.00016056083,0.00023997271,0.00063401787,0.00397902,0.0022525233,0.0003462462,0.0005882173,0.006719672],"category_scores_gemma":[0.0009759417,0.00007590802,0.00017976745,0.002066233,0.0014821395,0.0005872356,0.0007769531,0.0010070691,0.0004157737],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036674345,0.000083211715,0.34686288,0.00029823196,0.00027347007,0.003215096,0.017838184,0.0021684002,0.0018136031,0.18030307,0.29306787,0.15370923],"study_design_scores_gemma":[0.000027651495,0.000017840688,0.7286006,0.00019231321,0.00005637807,0.00035160515,0.016842885,0.00068020367,0.00026352715,0.0060503217,0.24687661,0.00004002664],"about_ca_topic_score_codex":0.9805875,"about_ca_topic_score_gemma":0.99055743,"teacher_disagreement_score":0.021314848,"about_ca_system_score_codex":0.021314848,"about_ca_system_score_gemma":0.03167229,"threshold_uncertainty_score":0.15465075},"labels":[],"label_agreement":null},{"id":"W7100164730","doi":"","title":"Key Sectors of Innovation","year":2014,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Proxy (statistics); Process (computing); Key (lock); Measure (data warehouse); Outcome (game theory); Scarcity","score_opus":0.030248495837010787,"score_gpt":0.19541588036220836,"score_spread":0.16516738452519758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100164730","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18324228,0.019713417,0.01805946,0.00369248,0.0006280704,0.00082935975,0.07124414,0.00084590045,0.7017449],"genre_scores_gemma":[0.8674561,0.015559343,0.016976615,0.00039336254,0.00031499087,0.00054071826,0.026775686,0.00014959447,0.071833685],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99852353,0.00015553986,0.00014855624,0.00025764402,0.00048585192,0.00042881723],"domain_scores_gemma":[0.9968928,0.0009100221,0.0006753397,0.00046186845,0.0007341745,0.00032574014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009697769,0.00057312555,0.00061102165,0.009026624,0.00067752606,0.0051289285,0.00079986977,0.00094759825,0.06553753],"category_scores_gemma":[0.004423483,0.00014978269,0.00088776264,0.014400124,0.0007259336,0.0021367692,0.0018742078,0.00064615894,0.013330152],"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":[0.00048109758,0.0001333114,0.060825285,0.003688371,0.00014119648,0.0007076912,0.0014857142,0.0038121797,0.005892365,0.5814616,0.04220312,0.29916808],"study_design_scores_gemma":[0.00009405473,0.00023163548,0.14829196,0.00078143587,0.00012870491,0.0014591557,0.0027809301,0.004575738,0.005567632,0.20163883,0.6343848,0.000065032116],"about_ca_topic_score_codex":0.0027556955,"about_ca_topic_score_gemma":0.0022273818,"teacher_disagreement_score":0.06553753,"about_ca_system_score_codex":0.002695162,"about_ca_system_score_gemma":0.0021929834,"threshold_uncertainty_score":0.2192449},"labels":[],"label_agreement":null},{"id":"W7100204467","doi":"","title":"Molana: Fiscal Policy and the Composition of Private Consumption: Some Evidence from the U.S. and Canada. Jonas Agell and Per Lundborg: Survey Evidence on Wage Rigidity and Unemployment: Sweden in the 1990s. 99-16 Satya P. Das: North-South Trade, Capital","year":2015,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Consumption (sociology); Private consumption; Harm; Fiscal policy; Crowding out; Wage; Public good; Private sector; Labour supply","score_opus":0.08627802597617198,"score_gpt":0.2552910825161345,"score_spread":0.16901305653996254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100204467","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":[0.8910969,0.034720447,0.00046744928,0.017453738,0.00011303204,0.00005396771,0.02624023,0.000047198053,0.029807013],"genre_scores_gemma":[0.9545755,0.018663095,0.00044847844,0.0006035023,0.000037426365,0.000017059838,0.009274,0.000023796723,0.016357131],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945337,0.00005506581,0.000022905075,0.00006827532,0.00021826317,0.00018213107],"domain_scores_gemma":[0.9976568,0.00034985476,0.00037442875,0.00010065771,0.0012316396,0.00028659537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000964458,0.00023454269,0.00039662397,0.0023385887,0.0021596455,0.002155898,0.00091493444,0.00057589,0.009551759],"category_scores_gemma":[0.0031872734,0.00020995675,0.0004617744,0.008024598,0.0007499991,0.0006860449,0.0008419629,0.00060203474,0.0006218852],"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":[0.00066029566,0.00018193961,0.86881244,0.00048800252,0.00035361893,0.0003457024,0.004471836,0.0012437965,0.00028062725,0.01062938,0.03741934,0.075113095],"study_design_scores_gemma":[0.000032695625,0.000024628696,0.9550231,0.0002885526,0.00014420126,0.0000388803,0.0052510435,0.0004959342,0.0003321784,0.0007715289,0.037564963,0.00003227095],"about_ca_topic_score_codex":0.9883939,"about_ca_topic_score_gemma":0.9945469,"teacher_disagreement_score":0.014068111,"about_ca_system_score_codex":0.014068111,"about_ca_system_score_gemma":0.017567845,"threshold_uncertainty_score":0.10207176},"labels":[],"label_agreement":null},{"id":"W7100224466","doi":"","title":"Population Aging and Human Capital Investment by Youth","year":2005,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Human capital; Population ageing; Investment (military); Population; Cohort effect; Empirical evidence","score_opus":0.02701334536570593,"score_gpt":0.20577978468100747,"score_spread":0.17876643931530153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100224466","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":[0.99544597,0.00058728614,0.000741332,0.00025473934,0.0000053869203,0.000007769433,0.0005718616,0.000007557292,0.0023781632],"genre_scores_gemma":[0.99796593,0.00040922465,0.0001844053,0.000028666187,0.000007691787,0.0000031761804,0.0003424426,0.0000013612464,0.001057033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997789,0.00003437638,0.000010256182,0.000027557704,0.000040987896,0.00010794516],"domain_scores_gemma":[0.99818295,0.0005467939,0.0006821751,0.0000782747,0.00020515395,0.0003045884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081146875,0.00015198853,0.00017939774,0.0007564916,0.0003281297,0.0007752,0.00023429908,0.00022680582,0.0022462734],"category_scores_gemma":[0.0030339875,0.0000752523,0.00027069094,0.00096785324,0.00032799682,0.00048222695,0.00049394974,0.0004512042,0.0001683552],"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":[0.000032554708,0.000026988237,0.9846427,0.000013663453,0.000034404835,0.0000722315,0.000403464,0.0027437957,0.0001105233,0.003111002,0.0002850954,0.00852367],"study_design_scores_gemma":[0.0000031554719,0.000041622352,0.99095917,0.000017853012,0.00002508176,0.000079374535,0.00048573155,0.0044029853,0.00021907067,0.0015649445,0.0021943755,0.0000066376692],"about_ca_topic_score_codex":0.19311029,"about_ca_topic_score_gemma":0.20063871,"teacher_disagreement_score":0.19311029,"about_ca_system_score_codex":0.0017857254,"about_ca_system_score_gemma":0.0011223935,"threshold_uncertainty_score":0.38397253},"labels":[],"label_agreement":null},{"id":"W7100244122","doi":"","title":"Annotated bibliography of technology’s impacts on economic growth. http://www.nist.gov/director/planning/upload/economic_impacts_of_technology.pdf","year":2013,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Productivity; National accounts; Annotated bibliography; National Income and Product Accounts; Investment (military); Per capita; Economic impact analysis","score_opus":0.018020632171565232,"score_gpt":0.21813256083693164,"score_spread":0.2001119286653664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100244122","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001364228,0.19756986,0.0043409416,0.009140708,0.00804031,0.0002482769,0.15845259,0.0023086634,0.6185344],"genre_scores_gemma":[0.012313871,0.3793059,0.010615747,0.0023332937,0.0035501204,0.000518759,0.17024572,0.0010826446,0.420034],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99939656,0.00005803113,0.00007156355,0.00007963985,0.00035320813,0.000040960887],"domain_scores_gemma":[0.9975401,0.0006546311,0.00013037014,0.00012437195,0.0014525614,0.00009794537],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0005789125,0.001450939,0.001011157,0.013139079,0.00100865,0.0025339324,0.0010899522,0.0009330035,0.13578579],"category_scores_gemma":[0.0021004025,0.00051374757,0.00062553684,0.03194946,0.00032747377,0.002578053,0.0008964485,0.0011687953,0.068680495],"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":[0.000010419032,0.000022694925,0.00017008148,0.0008459469,0.000007229024,0.000028021712,0.00004122733,0.00036698417,0.00009753219,0.0029415938,0.9100431,0.085425146],"study_design_scores_gemma":[0.0000028528832,0.000009129279,0.0015147773,0.00065591576,0.000007654308,0.000048724487,0.0000406773,0.00008737732,0.00009490662,0.001615243,0.9959144,0.000008317203],"about_ca_topic_score_codex":0.023896877,"about_ca_topic_score_gemma":0.02654859,"teacher_disagreement_score":0.98686093,"about_ca_system_score_codex":0.0021196937,"about_ca_system_score_gemma":0.0039313794,"threshold_uncertainty_score":0.45424873},"labels":[],"label_agreement":null},{"id":"W7100306078","doi":"","title":"Long-term Trends of Production Technologies in Canada:","year":2004,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Production (economics); Government (linguistics); Industrial production; Technological change; Emerging technologies; Secondary sector of the economy","score_opus":0.023543165431005302,"score_gpt":0.19238272052503672,"score_spread":0.16883955509403142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100306078","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":[0.9499674,0.0042195166,0.001043836,0.0012291103,0.000021746157,0.000047629474,0.025006711,0.000069301794,0.018394817],"genre_scores_gemma":[0.97726077,0.0025051737,0.0008179888,0.000083149534,0.000008118097,0.000019267569,0.011061057,0.000012596756,0.008231926],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861515,0.000027832753,0.000044005086,0.00013891712,0.00076107023,0.00041304016],"domain_scores_gemma":[0.9961559,0.00025540843,0.0005752672,0.00009280588,0.0025790688,0.00034156587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076646585,0.00044887405,0.00035277847,0.006276433,0.0019523333,0.0025697201,0.00086625497,0.00047772974,0.0021671269],"category_scores_gemma":[0.0035773641,0.00026222283,0.00050221034,0.016140178,0.0007729524,0.000997302,0.00092720205,0.0007822296,0.00033600442],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003482045,0.000101527425,0.88300484,0.00039421004,0.00022739642,0.00053192,0.0041546724,0.012392075,0.002083486,0.0088219335,0.0070225666,0.08091708],"study_design_scores_gemma":[0.0000032151227,0.000014921717,0.98611176,0.00003398592,0.000017286367,0.00003846063,0.000801562,0.0013959865,0.00045077715,0.00013023376,0.010978609,0.000023177292],"about_ca_topic_score_codex":0.9944906,"about_ca_topic_score_gemma":0.9963977,"teacher_disagreement_score":0.9361418,"about_ca_system_score_codex":0.06385821,"about_ca_system_score_gemma":0.036820993,"threshold_uncertainty_score":0.46332592},"labels":[],"label_agreement":null},{"id":"W7100566201","doi":"","title":"© notice, is given to the source. Policy Distortions and Aggregate Productivity with Heterogeneous Plants","year":2007,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Productivity; Aggregate (composite); Production (economics); Public policy","score_opus":0.01858099582879103,"score_gpt":0.2105232823508728,"score_spread":0.19194228652208178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100566201","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":[0.0020585638,0.0033527967,0.0018604802,0.039537188,0.008116199,0.00017945415,0.06375762,0.0016866962,0.8794509],"genre_scores_gemma":[0.021319019,0.0040579094,0.0011564838,0.0022576605,0.0014525587,0.00008904155,0.016970329,0.000761738,0.9519353],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9996847,0.000028772467,0.000018334016,0.00004686517,0.000146855,0.000074532225],"domain_scores_gemma":[0.9984212,0.00032568094,0.00014720483,0.00019359123,0.00074080785,0.0001715385],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005464965,0.0006278609,0.00073102704,0.0017699727,0.001145975,0.0029833706,0.0011147966,0.0021124755,0.6325856],"category_scores_gemma":[0.003915534,0.00034713096,0.0006215373,0.002990454,0.0004271566,0.0017206012,0.0009554174,0.0020354309,0.22438625],"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":[0.000044958364,0.000019058149,0.00045865885,0.000082694794,0.000007545163,0.000036339574,0.00003111622,0.00011804017,0.00012699419,0.008189671,0.9704167,0.0204682],"study_design_scores_gemma":[0.000030633393,0.000009273011,0.0033909094,0.00008363924,0.000007754196,0.00003320017,0.00006621547,0.00031075187,0.00030499083,0.0020399292,0.99371076,0.000011966145],"about_ca_topic_score_codex":0.11083851,"about_ca_topic_score_gemma":0.10212076,"teacher_disagreement_score":0.6325856,"about_ca_system_score_codex":0.003285535,"about_ca_system_score_gemma":0.0028643776,"threshold_uncertainty_score":0.52407205},"labels":[],"label_agreement":null},{"id":"W7101024524","doi":"","title":"First Quarter Economic Performance","year":2013,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Consumption (sociology); Gross domestic product; Agriculture; Personal income; Real gross domestic product; Measures of national income and output; National Income and Product Accounts; Manufacturing sector","score_opus":0.016616144508912044,"score_gpt":0.16793422224993773,"score_spread":0.15131807774102568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7101024524","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":[0.08057819,0.006462632,0.0007881605,0.008452088,0.0044579916,0.00025811014,0.31499317,0.0013984148,0.58261126],"genre_scores_gemma":[0.15238813,0.0047481135,0.0005620456,0.00123178,0.0015696145,0.00023019145,0.20134787,0.00029451033,0.6376278],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99858594,0.00007983134,0.000086594635,0.00013077095,0.00076056184,0.00035638438],"domain_scores_gemma":[0.9962579,0.00013773328,0.0004825904,0.00018883107,0.0022105442,0.0007224503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012401609,0.000813114,0.00061104354,0.00407428,0.00080143916,0.00325895,0.0005944893,0.0006077732,0.08139828],"category_scores_gemma":[0.00466038,0.00011175534,0.00042292415,0.004270533,0.00021423779,0.0008957902,0.001058323,0.0010524708,0.07776867],"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":[0.00018230187,0.000096076226,0.028119633,0.00015161299,0.000024838075,0.000065601824,0.00009321597,0.00029706297,0.00019175274,0.0023449503,0.89231855,0.07611442],"study_design_scores_gemma":[0.000027965065,0.00014648944,0.2171775,0.00015522339,0.000020141579,0.0001439913,0.0002473855,0.0005271189,0.000608871,0.0005797838,0.7803449,0.000020759826],"about_ca_topic_score_codex":0.020118566,"about_ca_topic_score_gemma":0.018247185,"teacher_disagreement_score":0.08139828,"about_ca_system_score_codex":0.002204618,"about_ca_system_score_gemma":0.0019670124,"threshold_uncertainty_score":0.27230436},"labels":[],"label_agreement":null},{"id":"W7101082215","doi":"","title":"Macroeconomic Situation and Outlook","year":2011,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Investment (military); Slumping; Consumption (sociology); Private consumption; Unemployment; Quarter (Canadian coin); Forecast period; Private sector; Unemployment rate; Interest rate","score_opus":0.054832874786943,"score_gpt":0.18859357491435086,"score_spread":0.13376070012740787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7101082215","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":[0.09214079,0.041639145,0.0017126537,0.05846068,0.008401381,0.00037778984,0.30607662,0.0023546587,0.48883632],"genre_scores_gemma":[0.39735678,0.04095596,0.0024896248,0.0098495735,0.0043165544,0.0008303939,0.2730416,0.00044444518,0.2707151],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99970835,0.000034405337,0.000026599824,0.000039349165,0.000086968044,0.000104264065],"domain_scores_gemma":[0.9993319,0.000024239289,0.00008762624,0.000020044778,0.00038646476,0.00014960655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067162624,0.00074000657,0.0004022238,0.001819382,0.00093810534,0.0023288613,0.00052922644,0.0011816038,0.02585683],"category_scores_gemma":[0.0012168272,0.00017248142,0.00034765754,0.0029785181,0.00016971973,0.0012417028,0.00092936057,0.0015870513,0.014315867],"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":[0.00028062557,0.0000937735,0.02808066,0.000773954,0.000047517293,0.00083614734,0.00048960175,0.001006278,0.00060001103,0.017971233,0.85024565,0.0995746],"study_design_scores_gemma":[0.000038194627,0.00010979621,0.13456494,0.00043279876,0.000030582552,0.00033277227,0.00085813424,0.000577547,0.00023318436,0.0025527664,0.86021405,0.000055254928],"about_ca_topic_score_codex":0.029881068,"about_ca_topic_score_gemma":0.019644588,"teacher_disagreement_score":0.029881068,"about_ca_system_score_codex":0.0018310176,"about_ca_system_score_gemma":0.0019847862,"threshold_uncertainty_score":0.08649969},"labels":[],"label_agreement":null},{"id":"W7101135111","doi":"","title":"Treating Intangible Inputs as Investment Goods: The Impact on Canadian GDP Prepared by Nazim Belhocine1","year":2009,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Investment (military); Productivity; Capital (architecture); Capital good; Gross private domestic investment; Set (abstract data type); Capital investment","score_opus":0.017739243253187292,"score_gpt":0.23080181898356206,"score_spread":0.21306257573037476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7101135111","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":[0.3509838,0.100271456,0.00299161,0.27019197,0.0033487747,0.00021362747,0.071047746,0.00028120168,0.2006698],"genre_scores_gemma":[0.8110895,0.09755297,0.0033027069,0.0026881807,0.0007752807,0.00008030416,0.015934126,0.00023399474,0.068343006],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986437,0.00009814054,0.000038377304,0.00012927919,0.00070396916,0.0003866154],"domain_scores_gemma":[0.99603736,0.0006406243,0.00025369073,0.00013186781,0.0025587745,0.0003775697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019479934,0.0009034438,0.0009847264,0.0033741982,0.0027469478,0.005319121,0.0013013093,0.0010673938,0.0074720783],"category_scores_gemma":[0.008671233,0.00041837507,0.0009668483,0.009932728,0.001210646,0.0014346677,0.00146289,0.0021008104,0.00097129843],"study_design_candidate":"simulation_or_modeling","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":[0.00034027986,0.000081064674,0.10103866,0.00076122425,0.00030551135,0.0005533563,0.0026855199,0.018258553,0.00087405724,0.15738486,0.5922217,0.12549527],"study_design_scores_gemma":[0.00010951143,0.0000724039,0.41154847,0.0014644196,0.0005062644,0.00012310376,0.01010538,0.02241753,0.002868491,0.03412487,0.51632893,0.00033057696],"about_ca_topic_score_codex":0.993588,"about_ca_topic_score_gemma":0.9927384,"teacher_disagreement_score":0.064448796,"about_ca_system_score_codex":0.064448796,"about_ca_system_score_gemma":0.08101948,"threshold_uncertainty_score":0.46761096},"labels":[],"label_agreement":null},{"id":"W7110786678","doi":"10.5281/zenodo.17852511","title":"Economic Growth Theories: Comparative Analysis of Classical, Neoclassical, and Endogenous Models","year":2025,"lang":"ang","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Endogenous growth theory; Argument (complex analysis); Human capital; Interpretation (philosophy); Function (biology); Capital (architecture); Growth theory; Capital accumulation","score_opus":0.06836849857932083,"score_gpt":0.24541203448037366,"score_spread":0.17704353590105282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7110786678","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.124943405,0.20423503,0.32490647,0.017618582,0.0011825099,0.00021392331,0.0010983809,0.00028359782,0.3255181],"genre_scores_gemma":[0.84955853,0.10255807,0.034955133,0.00084417465,0.001117394,0.00030703115,0.0008462668,0.00013115196,0.009682249],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998591,0.00075709465,0.000053384592,0.00010647353,0.00038375592,0.00010825066],"domain_scores_gemma":[0.9960537,0.002770516,0.00028202237,0.0002646923,0.0005327736,0.000096341966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040324014,0.00093171006,0.00093107426,0.0035185183,0.0006877551,0.0029196898,0.0014641142,0.0011090619,0.0034862212],"category_scores_gemma":[0.0066370377,0.00029580478,0.0012736212,0.0045452463,0.0015770962,0.0042639645,0.0013886852,0.0014550865,0.00047662263],"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":[0.00002982759,0.000039272105,0.0019796733,0.0002870072,0.00007227118,0.00008349199,0.00022090845,0.028168634,0.00004494992,0.9432901,0.0028208771,0.022963125],"study_design_scores_gemma":[0.000025709496,0.00006057809,0.0035315417,0.00046408776,0.000087736116,0.00012183557,0.00068630977,0.095773,0.00018359833,0.87033284,0.028695833,0.00003699718],"about_ca_topic_score_codex":0.0036521207,"about_ca_topic_score_gemma":0.001878066,"teacher_disagreement_score":0.0040324014,"about_ca_system_score_codex":0.003080151,"about_ca_system_score_gemma":0.0016835171,"threshold_uncertainty_score":0.022348106},"labels":[],"label_agreement":null},{"id":"W7111277789","doi":"10.5281/zenodo.17852512","title":"Economic Growth Theories: Comparative Analysis of Classical, Neoclassical, and Endogenous Models","year":2025,"lang":"ang","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Endogenous growth theory; Argument (complex analysis); Human capital; Interpretation (philosophy); Function (biology); Capital (architecture); Growth theory; Capital accumulation","score_opus":0.06836849857932083,"score_gpt":0.24541203448037366,"score_spread":0.17704353590105282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7111277789","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.124943405,0.20423503,0.32490647,0.017618582,0.0011825099,0.00021392331,0.0010983809,0.00028359782,0.3255181],"genre_scores_gemma":[0.84955853,0.10255807,0.034955133,0.00084417465,0.001117394,0.00030703115,0.0008462668,0.00013115196,0.009682249],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998591,0.00075709465,0.000053384592,0.00010647353,0.00038375592,0.00010825066],"domain_scores_gemma":[0.9960537,0.002770516,0.00028202237,0.0002646923,0.0005327736,0.000096341966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040324014,0.00093171006,0.00093107426,0.0035185183,0.0006877551,0.0029196898,0.0014641142,0.0011090619,0.0034862212],"category_scores_gemma":[0.0066370377,0.00029580478,0.0012736212,0.0045452463,0.0015770962,0.0042639645,0.0013886852,0.0014550865,0.00047662263],"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":[0.00002982759,0.000039272105,0.0019796733,0.0002870072,0.00007227118,0.00008349199,0.00022090845,0.028168634,0.00004494992,0.9432901,0.0028208771,0.022963125],"study_design_scores_gemma":[0.000025709496,0.00006057809,0.0035315417,0.00046408776,0.000087736116,0.00012183557,0.00068630977,0.095773,0.00018359833,0.87033284,0.028695833,0.00003699718],"about_ca_topic_score_codex":0.0036521207,"about_ca_topic_score_gemma":0.001878066,"teacher_disagreement_score":0.0040324014,"about_ca_system_score_codex":0.003080151,"about_ca_system_score_gemma":0.0016835171,"threshold_uncertainty_score":0.022348106},"labels":[],"label_agreement":null},{"id":"W7112059999","doi":"","title":"總要素生產力、知識經濟與工業先進國家之經濟發展--對臺灣經濟發展之啟示","year":2008,"lang":"zh","type":"article","venue":"","topic":"Economic Growth and Productivity","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":"Pace; Developed country; Developing country; Work (physics); Carry (investment)","score_opus":0.05204966089378384,"score_gpt":0.1956984578810434,"score_spread":0.14364879698725955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7112059999","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":[0.109021865,0.008093453,0.02281627,0.046459775,0.00057914713,0.00016753041,0.0007998406,0.00018142293,0.8118807],"genre_scores_gemma":[0.9410505,0.0042243362,0.008237523,0.0012183613,0.00012752693,0.0001266097,0.00023563745,0.000044950157,0.04473452],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99868447,0.0005149954,0.000059045167,0.00024382431,0.0003213837,0.0001762637],"domain_scores_gemma":[0.9985384,0.00071739283,0.00014871282,0.00008665759,0.00040426297,0.00010461636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022621849,0.0004382586,0.00041272747,0.00182247,0.003560419,0.009233,0.00086139253,0.0015658156,0.011615545],"category_scores_gemma":[0.0037197606,0.00029183325,0.0005941658,0.004837984,0.0068879477,0.010123733,0.0014096563,0.0019696811,0.0013328418],"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":[0.00001729523,0.000018312894,0.0013011,0.000057672376,0.000011442683,0.000073093586,0.0040706345,0.0009841082,0.00007391472,0.9797127,0.004786324,0.008893356],"study_design_scores_gemma":[0.00005683721,0.00004012283,0.0064630467,0.00034342892,0.000049655348,0.00015600397,0.023257894,0.003032224,0.0008210384,0.7430149,0.22271453,0.000050382594],"about_ca_topic_score_codex":0.045914683,"about_ca_topic_score_gemma":0.02891998,"teacher_disagreement_score":0.045914683,"about_ca_system_score_codex":0.011200358,"about_ca_system_score_gemma":0.01301671,"threshold_uncertainty_score":0.091294825},"labels":[],"label_agreement":null},{"id":"W7115679543","doi":"10.5267/j.dsl.2025.11.001","title":"The influence of human capital on economic growth: Analysis of the central region of Peru","year":2025,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Human capital; Stock (firearms); Public spending; Panel data; Public investment; Estimation; Econometric model; Investment (military)","score_opus":0.019172679119250604,"score_gpt":0.24384299265354364,"score_spread":0.22467031353429304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115679543","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":[0.99636674,0.0005554404,0.00043732644,0.00028929973,0.000003099193,0.000012893024,0.00054506614,0.000017258699,0.0017728376],"genre_scores_gemma":[0.998142,0.00041304965,0.00026377809,0.000017998289,0.0000060835496,0.000023233923,0.00076226407,0.0000036587644,0.0003678985],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99957687,0.0002272141,0.000014137588,0.000055184864,0.000035125406,0.000091452566],"domain_scores_gemma":[0.9985245,0.0008055174,0.00031469666,0.000076875134,0.0001770341,0.00010140475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008974667,0.00029820882,0.00034783207,0.0010912452,0.00028057856,0.00087148434,0.00031053263,0.000240037,0.0016979438],"category_scores_gemma":[0.0031872005,0.000105992556,0.00047969763,0.0022430911,0.0005163082,0.0005101884,0.0014916891,0.00035057424,0.00018246243],"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":[0.00031961562,0.00014445647,0.95409375,0.0002668238,0.00040138245,0.0012178912,0.0023512528,0.011285524,0.0011557505,0.0024946216,0.0012839632,0.024984859],"study_design_scores_gemma":[0.000012103433,0.0001300294,0.9837608,0.000048933434,0.000098304125,0.00013921926,0.0029326521,0.009112609,0.00030045622,0.00049998093,0.0029533484,0.000011669323],"about_ca_topic_score_codex":0.034814812,"about_ca_topic_score_gemma":0.025244467,"teacher_disagreement_score":0.034814812,"about_ca_system_score_codex":0.00068306085,"about_ca_system_score_gemma":0.0006643305,"threshold_uncertainty_score":0.0692243},"labels":[],"label_agreement":null},{"id":"W7117027063","doi":"10.1108/978-1-83708-384-820261010","title":"Growth Vis-à-Vis Development: Are the Countries Converging or Diverging Over Time?","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Heritage College","funders":"","keywords":"Conditional convergence; Latin Americans; Per capita; Convergence (economics); Developing country; Poverty; Per capita income; Gross domestic product; Panel data","score_opus":0.021260789324274117,"score_gpt":0.1916374060388346,"score_spread":0.1703766167145605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117027063","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":[0.8546031,0.03828763,0.0044766744,0.029652463,0.00074280537,0.00009449575,0.0027746723,0.00010188061,0.069266215],"genre_scores_gemma":[0.97415346,0.01931308,0.0015947395,0.0010542681,0.00026805507,0.000080214086,0.0015018585,0.000044768225,0.0019896014],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979918,0.00058351574,0.0001888279,0.00042509055,0.00039580042,0.0004150434],"domain_scores_gemma":[0.9924164,0.0028751,0.0017180045,0.00063709577,0.0016697635,0.00068367284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004465744,0.00040778998,0.00094170886,0.0035939885,0.0010902898,0.004773634,0.00087918475,0.0011457191,0.0032960877],"category_scores_gemma":[0.02079976,0.00025908535,0.0005513771,0.0075165797,0.0029043036,0.0065704836,0.0022967,0.0020279286,0.0009000799],"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":[0.00031125813,0.00007749542,0.6339559,0.0007509337,0.00024141857,0.0010156998,0.018732788,0.001995386,0.00029550772,0.05178626,0.009254768,0.28158274],"study_design_scores_gemma":[0.000018011995,0.00016510484,0.8564466,0.0016977197,0.00017716271,0.0010142982,0.04819104,0.0033023332,0.0003239297,0.040081304,0.048490826,0.0000916804],"about_ca_topic_score_codex":0.008523625,"about_ca_topic_score_gemma":0.005538578,"teacher_disagreement_score":0.008523625,"about_ca_system_score_codex":0.001174439,"about_ca_system_score_gemma":0.001192889,"threshold_uncertainty_score":0.023617387},"labels":[],"label_agreement":null},{"id":"W7117578908","doi":"10.2139/ssrn.5987019","title":"From Innovation to Economic Impact: Completing the Causal Chain Between Research and Growth","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","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":"York University","funders":"","keywords":"Productivity; Process (computing); Causal chain; Privilege (computing); Downstream (manufacturing); Maximization; Value (mathematics); Endogenous growth theory","score_opus":0.07052775726369744,"score_gpt":0.32264843240108443,"score_spread":0.252120675137387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117578908","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":[0.2617646,0.020555496,0.5744798,0.050090805,0.0020733068,0.00045737025,0.008334902,0.0014472847,0.08079647],"genre_scores_gemma":[0.92301065,0.012311449,0.04405388,0.001101483,0.0009788504,0.00021975237,0.002312041,0.00029304356,0.015718887],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9962412,0.0016793989,0.00029318512,0.0006322907,0.0007357659,0.00041810883],"domain_scores_gemma":[0.91208637,0.068810135,0.0053411806,0.005032918,0.0064478414,0.0022815207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062839086,0.0010825095,0.00174779,0.0047587217,0.0014580986,0.0062386184,0.0014894315,0.002398769,0.034468986],"category_scores_gemma":[0.062790975,0.0008354552,0.002064027,0.005894468,0.0036145584,0.014813231,0.0051246285,0.004642983,0.004165384],"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":[0.00041482126,0.00035726864,0.051932532,0.00160159,0.00046268204,0.00079754513,0.0018744156,0.019894963,0.0010221424,0.73473495,0.015567451,0.17133962],"study_design_scores_gemma":[0.000043015545,0.000077818324,0.010082092,0.00040537975,0.00017191783,0.00015719044,0.00063254783,0.0139743425,0.00061833876,0.96332675,0.010448951,0.00006159119],"about_ca_topic_score_codex":0.012424879,"about_ca_topic_score_gemma":0.007966942,"teacher_disagreement_score":0.034468986,"about_ca_system_score_codex":0.0013088781,"about_ca_system_score_gemma":0.00547637,"threshold_uncertainty_score":0.11531019},"labels":[],"label_agreement":null},{"id":"W7133537795","doi":"10.21916/mlr.2026.6","title":"Is manufacturing productivity recovering? Evidence from the past and present","year":2013,"lang":"","type":"article","venue":"Monthly labor review","topic":"Economic Growth and Productivity","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":"Quarter (Canadian coin); Productivity; Business cycle; Manufacturing sector; Manufacturing","score_opus":0.042797101926930106,"score_gpt":0.23333442578795485,"score_spread":0.19053732386102473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133537795","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":[0.620299,0.17283611,0.00187137,0.12543134,0.0012231452,0.000038368365,0.01674631,0.00013648508,0.061417922],"genre_scores_gemma":[0.93695134,0.051096123,0.0002693109,0.0036912595,0.0015725036,0.000010188288,0.004512609,0.000029898556,0.0018667481],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978727,0.00030584037,0.0002719928,0.00047804147,0.00058728486,0.0004840844],"domain_scores_gemma":[0.96778965,0.009682945,0.013616279,0.0025093346,0.0050447905,0.0013570568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046466114,0.00032051423,0.0005210752,0.004068835,0.0007037793,0.0034670017,0.0012690019,0.0014606084,0.010587933],"category_scores_gemma":[0.02454035,0.00034332075,0.00071405666,0.007384634,0.0023231923,0.0038195562,0.0016642524,0.0027558713,0.002156961],"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":[0.0011603558,0.00022694311,0.6458868,0.002813182,0.0009096031,0.0011857387,0.0024289892,0.0010054184,0.00068274187,0.017096365,0.0388913,0.28771263],"study_design_scores_gemma":[0.000037976155,0.00016668113,0.8893223,0.0017330351,0.00042312875,0.0006217336,0.00440978,0.0003318636,0.00073644647,0.0054509984,0.0967109,0.000055147797],"about_ca_topic_score_codex":0.016938448,"about_ca_topic_score_gemma":0.011765761,"teacher_disagreement_score":0.016938448,"about_ca_system_score_codex":0.0019394183,"about_ca_system_score_gemma":0.0014079208,"threshold_uncertainty_score":0.03542018},"labels":[],"label_agreement":null},{"id":"W7135443645","doi":"","title":"About secular stagnation","year":2016,"lang":"cs","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Economic Growth and Productivity","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":"Secular variation; Component (thermodynamics); Economic stagnation; Space (punctuation); Work (physics); Focus (optics); Space Age","score_opus":0.009355253041936774,"score_gpt":0.21093138563275507,"score_spread":0.2015761325908183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135443645","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21257171,0.04332199,0.064184465,0.35566312,0.0029886863,0.000067336114,0.00091480796,0.00038333845,0.31990463],"genre_scores_gemma":[0.96968657,0.010656312,0.0021675827,0.0078809345,0.0010390595,0.00003681497,0.00026033685,0.000071725015,0.008200575],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99841976,0.0006823021,0.000072684175,0.0003486133,0.00022398574,0.00025265836],"domain_scores_gemma":[0.9947759,0.0027558063,0.0008633328,0.00043968816,0.00082591444,0.0003393238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004583259,0.0002818056,0.0005728209,0.0015681322,0.00196768,0.004649936,0.00059483136,0.0015673724,0.010845241],"category_scores_gemma":[0.010005604,0.0001257383,0.0006029552,0.0019702578,0.010233358,0.008968409,0.0024208943,0.0035282837,0.00091017183],"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":[0.000017618664,0.000010841582,0.0031916169,0.00010353138,0.000019439989,0.00013291425,0.0032149192,0.0006991169,0.0000751573,0.96850204,0.009551753,0.014481044],"study_design_scores_gemma":[0.000006625422,0.000027526192,0.002431461,0.00022387718,0.000010589242,0.0001874995,0.0025037262,0.0011494125,0.00011768518,0.93327427,0.060051564,0.000015854699],"about_ca_topic_score_codex":0.0021776285,"about_ca_topic_score_gemma":0.0013506545,"teacher_disagreement_score":0.010845241,"about_ca_system_score_codex":0.0030481261,"about_ca_system_score_gemma":0.0018363224,"threshold_uncertainty_score":0.03628093},"labels":[],"label_agreement":null},{"id":"W7135903811","doi":"","title":"High growth and innovation with low R&amp;D:Ireland","year":2008,"lang":"en","type":"book-chapter","venue":"Research Portal (Queen's University Belfast)","topic":"Economic Growth and Productivity","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":"Queen's University","funders":"","keywords":"Production (economics); Government (linguistics); Work (physics); Process (computing); Productivity","score_opus":0.033538887796767385,"score_gpt":0.21928487314101433,"score_spread":0.18574598534424694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135903811","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":[0.008174821,0.0020789907,0.0014735665,0.008657402,0.00042481557,0.000027440437,0.0010177159,0.0003236061,0.9778217],"genre_scores_gemma":[0.22219868,0.0030447668,0.0037424532,0.002006223,0.00028686246,0.00006283708,0.0016301288,0.00037984297,0.76664823],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99905044,0.00009368432,0.00004823748,0.00016097297,0.00032923117,0.00031742154],"domain_scores_gemma":[0.9989717,0.00014599132,0.0001544563,0.00013228443,0.00026506546,0.0003304423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094934634,0.00042022916,0.00034829366,0.001111034,0.00092235237,0.007588552,0.0004966307,0.0010755187,0.055053018],"category_scores_gemma":[0.001997973,0.00025037432,0.00032818323,0.0021450703,0.0020159003,0.0030519583,0.0020022935,0.0019188373,0.018978676],"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":[0.0001859585,0.00008292195,0.0051915287,0.00051294797,0.000015002549,0.00025338348,0.0006750594,0.00043673447,0.0014040694,0.27570772,0.41693872,0.29859596],"study_design_scores_gemma":[0.000030075138,0.000057479625,0.014964723,0.00020181877,0.000011755711,0.00037182082,0.00085296185,0.00041769393,0.0018015311,0.04303614,0.93822783,0.000026247819],"about_ca_topic_score_codex":0.019671353,"about_ca_topic_score_gemma":0.027088758,"teacher_disagreement_score":0.055053018,"about_ca_system_score_codex":0.0052668024,"about_ca_system_score_gemma":0.0065580616,"threshold_uncertainty_score":0.18417072},"labels":[],"label_agreement":null},{"id":"W7143368896","doi":"10.70675/55449f1fzc1f7z4fe6z9878zc63016171fa2","title":"The sources of cross-country output comovements : European and non-european linkages","year":2013,"lang":"","type":"dissertation","venue":"","topic":"Economic Growth and Productivity","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":"International market; Quarter (Canadian coin); International investment","score_opus":0.017554392477392565,"score_gpt":0.22626889927072738,"score_spread":0.2087145067933348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7143368896","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":[0.97218806,0.00496937,0.008108662,0.002060161,0.000072243965,0.000025809446,0.0018275764,0.00006499319,0.010683252],"genre_scores_gemma":[0.9912923,0.0023178207,0.0011766598,0.00012380604,0.00006276045,0.000012892644,0.001127298,0.0000354437,0.0038510116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989341,0.0003610617,0.00010551226,0.00026795774,0.000161436,0.00016986766],"domain_scores_gemma":[0.9938076,0.0034996888,0.0012983659,0.00057678495,0.0006190469,0.00019854672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031665193,0.00036445333,0.00058885594,0.0016264459,0.00039511896,0.0036909042,0.00048555463,0.0006822343,0.0054084924],"category_scores_gemma":[0.007351705,0.0003801874,0.0012715668,0.0038259318,0.00045581072,0.0017257015,0.002186634,0.00060584035,0.0005069709],"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":[0.0003661728,0.00008850833,0.8588707,0.0002591851,0.0016894295,0.0009346261,0.002261775,0.021318724,0.0016321356,0.036212437,0.0024473034,0.073919035],"study_design_scores_gemma":[0.000047634807,0.00005881317,0.94152033,0.00026999338,0.0004855156,0.00026428484,0.001843668,0.018151125,0.0012901588,0.020439595,0.015563859,0.00006511751],"about_ca_topic_score_codex":0.009233575,"about_ca_topic_score_gemma":0.007972864,"teacher_disagreement_score":0.009233575,"about_ca_system_score_codex":0.00073487987,"about_ca_system_score_gemma":0.00067499286,"threshold_uncertainty_score":0.018359661},"labels":[],"label_agreement":null},{"id":"W7164903911","doi":"10.1080/17153379.2009.12556454","title":"Catch-Up Industrialization: The Trajectory and Prospects of East Asian Economies.","year":2009,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"East Asia; Trajectory","score_opus":0.026866452519094357,"score_gpt":0.19561901839193643,"score_spread":0.16875256587284207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7164903911","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90722454,0.021797994,0.0006238203,0.028664874,0.00018694773,0.000024787802,0.0031797923,0.000059111164,0.038238145],"genre_scores_gemma":[0.9795599,0.014402173,0.00017140992,0.00037894511,0.00007499909,0.000010654188,0.00064975105,0.000007503639,0.0047447262],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998779,0.000013792741,0.000005922664,0.000009673211,0.000017715449,0.00007491938],"domain_scores_gemma":[0.9992926,0.000064068925,0.000215799,0.000027805241,0.00017067882,0.00022895965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040803535,0.00022464884,0.00012841469,0.0007402552,0.0005784164,0.0020169867,0.00018935886,0.0005235201,0.005505769],"category_scores_gemma":[0.0013008714,0.00009061798,0.00020189925,0.0021211405,0.000618875,0.0029202173,0.001306829,0.0011515926,0.0006579198],"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":[0.00054903526,0.0002966049,0.5910713,0.00034865952,0.00011157348,0.0018690282,0.008115124,0.0023689906,0.0013018283,0.122545496,0.03149603,0.23992638],"study_design_scores_gemma":[0.000014070312,0.00011088922,0.91629666,0.00023337812,0.000042937758,0.00033959193,0.013237491,0.0015695447,0.00062108226,0.017537825,0.049973626,0.000022846583],"about_ca_topic_score_codex":0.024078023,"about_ca_topic_score_gemma":0.037141226,"teacher_disagreement_score":0.024078023,"about_ca_system_score_codex":0.0008409915,"about_ca_system_score_gemma":0.001466774,"threshold_uncertainty_score":0.047875702},"labels":[],"label_agreement":null},{"id":"W7164928230","doi":"10.5281/zenodo.20716304","title":"WP series: Mathematics Stagnation Nation series: for the USA (Part 5. Draft 2) The quasi-universal math stagnations in developed countries are real and won't go away as the conventional EDU reforms are mostly futile: how to transcend them with MMU1 or at least 1/3 of its full version over the next 2- 4 year","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hyperion Technologies (Canada)","funders":"","keywords":"Poverty; Variety (cybernetics); Focus (optics); Developing country; International comparisons","score_opus":0.07847051549204846,"score_gpt":0.23576277450522262,"score_spread":0.15729225901317417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7164928230","genre_codex":"dataset","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032818771,0.004829315,0.0039038074,0.021998925,0.020269869,0.0005728681,0.5874416,0.003539686,0.35416207],"genre_scores_gemma":[0.013469216,0.0045875916,0.004992503,0.0040511903,0.0035676002,0.0018291012,0.41793048,0.003023945,0.5465484],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99803096,0.00020148147,0.00020732598,0.00020862771,0.0011548584,0.00019669313],"domain_scores_gemma":[0.9899832,0.0011797845,0.0011025248,0.0011500674,0.005477871,0.0011065038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036667385,0.0011830966,0.00069424364,0.0054751756,0.0009928216,0.0049201217,0.0014119872,0.0017808473,0.15522058],"category_scores_gemma":[0.011753221,0.0006572257,0.00062984054,0.0074810274,0.000592484,0.0041287495,0.0030054187,0.002664717,0.13063784],"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":[0.000015206864,0.000011255255,0.00032498897,0.000063918415,0.0000026477182,0.0000057423804,0.000024540588,0.00004764968,0.000053933538,0.0016379416,0.9867193,0.011092807],"study_design_scores_gemma":[0.0000060784,0.000013161502,0.004861675,0.00012967495,0.000004086289,0.000018834577,0.0000712566,0.00008192064,0.00019860153,0.0006952269,0.99390936,0.000010153498],"about_ca_topic_score_codex":0.025758125,"about_ca_topic_score_gemma":0.022480214,"teacher_disagreement_score":0.15522058,"about_ca_system_score_codex":0.0034136046,"about_ca_system_score_gemma":0.0058174906,"threshold_uncertainty_score":0.5192646},"labels":[],"label_agreement":null},{"id":"W7164942188","doi":"10.5281/zenodo.20716303","title":"WP series: Mathematics Stagnation Nation series: for the USA (Part 5. Draft 2) The quasi-universal math stagnations in developed countries are real and won't go away as the conventional EDU reforms are mostly futile: how to transcend them with MMU1 or at least 1/3 of its full version over the next 2- 4 year","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hyperion Technologies (Canada)","funders":"","keywords":"Poverty; Variety (cybernetics); Focus (optics); Developing country; International comparisons","score_opus":0.07847051549204846,"score_gpt":0.23576277450522262,"score_spread":0.15729225901317417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7164942188","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032818771,0.004829315,0.0039038074,0.021998925,0.020269869,0.0005728681,0.5874416,0.003539686,0.35416207],"genre_scores_gemma":[0.013469216,0.0045875916,0.004992503,0.0040511903,0.0035676002,0.0018291012,0.41793048,0.003023945,0.5465484],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99803096,0.00020148147,0.00020732598,0.00020862771,0.0011548584,0.00019669313],"domain_scores_gemma":[0.9899832,0.0011797845,0.0011025248,0.0011500674,0.005477871,0.0011065038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036667385,0.0011830966,0.00069424364,0.0054751756,0.0009928216,0.0049201217,0.0014119872,0.0017808473,0.15522058],"category_scores_gemma":[0.011753221,0.0006572257,0.00062984054,0.0074810274,0.000592484,0.0041287495,0.0030054187,0.002664717,0.13063784],"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":[0.000015206864,0.000011255255,0.00032498897,0.000063918415,0.0000026477182,0.0000057423804,0.000024540588,0.00004764968,0.000053933538,0.0016379416,0.9867193,0.011092807],"study_design_scores_gemma":[0.0000060784,0.000013161502,0.004861675,0.00012967495,0.000004086289,0.000018834577,0.0000712566,0.00008192064,0.00019860153,0.0006952269,0.99390936,0.000010153498],"about_ca_topic_score_codex":0.025758125,"about_ca_topic_score_gemma":0.022480214,"teacher_disagreement_score":0.15522058,"about_ca_system_score_codex":0.0034136046,"about_ca_system_score_gemma":0.0058174906,"threshold_uncertainty_score":0.5192646},"labels":[],"label_agreement":null},{"id":"W7164946253","doi":"10.1080/17153379.2009.12556387","title":"Technical Progress and Economic Growth: An Empirical Case Study of Malaysia.","year":2009,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Technical progress; Technical change; Empirical research; Sociotechnical system; Technological change","score_opus":0.03170389424862345,"score_gpt":0.26065541502116973,"score_spread":0.22895152077254627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7164946253","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":[0.9952749,0.00027237347,0.00014695675,0.00013257825,0.0000024845103,0.0000103592465,0.00018205326,0.0000042517468,0.003973996],"genre_scores_gemma":[0.99726224,0.0005692509,0.0001465848,0.0000138368005,0.0000040669643,0.00000600592,0.00015503437,0.0000025160193,0.0018405749],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999767,0.0001066691,0.000013001092,0.00001715244,0.000024379651,0.00007176021],"domain_scores_gemma":[0.9976252,0.0014421222,0.00043456195,0.00006726857,0.00020119644,0.00022965897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008407616,0.0003113226,0.0001808968,0.0013755261,0.00056909234,0.0010940175,0.00032178365,0.0005690275,0.002826372],"category_scores_gemma":[0.0026190807,0.00012783095,0.00023041751,0.0027844526,0.0005387617,0.0011224434,0.00083181186,0.00065137004,0.00041688952],"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":[0.00062091596,0.001247335,0.88883567,0.00039741118,0.000121374294,0.007370501,0.009505365,0.016061613,0.0006517055,0.01124021,0.0051316,0.058816276],"study_design_scores_gemma":[0.000052440442,0.0005089388,0.9100561,0.0002889053,0.00014883064,0.0014881262,0.04909899,0.02289473,0.0015918171,0.0024266664,0.011381538,0.00006296755],"about_ca_topic_score_codex":0.04331902,"about_ca_topic_score_gemma":0.06615845,"teacher_disagreement_score":0.04331902,"about_ca_system_score_codex":0.0013287149,"about_ca_system_score_gemma":0.0008626139,"threshold_uncertainty_score":0.08613372},"labels":[],"label_agreement":null},{"id":"W754492335","doi":"","title":"Understanding on the Background of the Era of Independent Innovations in China1/COMPRÉHENSION DU CONTEXTE À L'ÉPOQUE D'INNOVATION INDÉPENDANTE EN CHINE","year":2007,"lang":"fr","type":"article","venue":"Canadian social science","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Independence (probability theory); Modernization theory; Political science; China; Humanities; Resource (disambiguation); National security; Economy; Management; Economics; Art; Law","score_opus":0.0730550641307724,"score_gpt":0.24916472999292116,"score_spread":0.17610966586214877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W754492335","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":[0.5159959,0.017688742,0.0077599376,0.066215634,0.000620404,0.00015873763,0.00024424447,0.00007607996,0.3912403],"genre_scores_gemma":[0.97401977,0.004050871,0.0012742919,0.0010973301,0.00016986781,0.000053947257,0.000053255284,0.00001400302,0.019266693],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99912125,0.00025589304,0.0000484027,0.00015263222,0.00017222055,0.00024966442],"domain_scores_gemma":[0.9990804,0.00033772734,0.00018872549,0.000080254395,0.0001437814,0.00016904631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002315765,0.0005377372,0.00034850856,0.00231638,0.0065758615,0.005004886,0.000670278,0.0016186174,0.005885553],"category_scores_gemma":[0.0013979531,0.00023416754,0.000387487,0.0035936944,0.010615107,0.0051945746,0.0026738641,0.0026031544,0.0002494653],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021425958,0.000026752019,0.0046983105,0.00016314963,0.000009313205,0.0007992396,0.08742192,0.0005554463,0.00074988446,0.8885406,0.0023116074,0.014702238],"study_design_scores_gemma":[0.000030516401,0.00011941561,0.07287886,0.0010440492,0.000045434022,0.0005560138,0.074282,0.0044537554,0.0017310224,0.30086938,0.54386854,0.00012103324],"about_ca_topic_score_codex":0.06586956,"about_ca_topic_score_gemma":0.071059175,"teacher_disagreement_score":0.93413043,"about_ca_system_score_codex":0.016197484,"about_ca_system_score_gemma":0.016055807,"threshold_uncertainty_score":0.13097233},"labels":[],"label_agreement":null},{"id":"W7790115","doi":"10.1002/ijc.2910610611","title":"Financial Development and Economic Growth: Is the Finance-Growth Relationship Nonlinear? ∗","year":2004,"lang":"en","type":"book","venue":"International Journal of Cancer","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Economics; Nonlinear system; Human capital; Finance; Per capita income; Nonparametric statistics; Contrast (vision); Econometrics; Economic growth; Computer science; Sociology","score_opus":0.030010739935273742,"score_gpt":0.24623346728497947,"score_spread":0.2162227273497057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7790115","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19111449,0.2250003,0.014116354,0.44497207,0.0025838022,0.000036270896,0.0021850069,0.0001897622,0.119802035],"genre_scores_gemma":[0.84463847,0.12434886,0.0024514408,0.005486473,0.00251859,0.00003624646,0.0005383524,0.000045271925,0.019936318],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999671,0.00011479046,0.000017286793,0.00006301437,0.0000722437,0.00006175861],"domain_scores_gemma":[0.99507374,0.0027725375,0.0009911157,0.000114861614,0.000740228,0.0003075768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001027757,0.00040712382,0.00054469175,0.0010658066,0.0005518287,0.0020441173,0.00041461817,0.0012597091,0.014207698],"category_scores_gemma":[0.0068945005,0.00017611396,0.00023546649,0.0021926705,0.0015252343,0.0028580695,0.0007471727,0.0015011937,0.0023204973],"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":[0.00048748023,0.00021979204,0.08545295,0.00090015057,0.00017656526,0.00062272896,0.000571654,0.0068191076,0.00095145457,0.3777701,0.06854415,0.4574838],"study_design_scores_gemma":[0.00008029781,0.00028012609,0.16139224,0.001160217,0.00012440624,0.001075605,0.0021387187,0.02624418,0.0011147275,0.5667434,0.23949501,0.00015117708],"about_ca_topic_score_codex":0.004754595,"about_ca_topic_score_gemma":0.0028021166,"teacher_disagreement_score":0.014207698,"about_ca_system_score_codex":0.0014846256,"about_ca_system_score_gemma":0.00083344744,"threshold_uncertainty_score":0.04752946},"labels":[],"label_agreement":null},{"id":"W857999180","doi":"","title":"Priorities and Directions for Future Productivity Research: Health Care, Intangible Capital and High-tech","year":2014,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Depreciation (economics); Productivity; Health care; Capital (architecture); Investment (military); Economics; Business; High tech; Public economics; Capital formation; Human capital; Economic growth; Financial capital; Political science","score_opus":0.041598929618363034,"score_gpt":0.2900143209557651,"score_spread":0.2484153913374021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W857999180","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023853118,0.14057358,0.003600762,0.8389899,0.008425647,0.00008420638,0.00031479629,0.000077897115,0.005547904],"genre_scores_gemma":[0.09461211,0.5845011,0.03518233,0.23446271,0.031497683,0.00091579254,0.0019806167,0.00012321636,0.016724536],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9915895,0.0037853832,0.0006276613,0.0005833346,0.0016844074,0.0017296388],"domain_scores_gemma":[0.9213763,0.042949688,0.004854804,0.0013992566,0.016620792,0.012799156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027922774,0.001206072,0.002405956,0.0073262835,0.0040174685,0.016862921,0.003137795,0.014004476,0.026474327],"category_scores_gemma":[0.030815285,0.0005874626,0.0019416551,0.010718157,0.004994001,0.02270765,0.006029074,0.01027393,0.0034776672],"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":[0.000428518,0.0006850506,0.010520104,0.012845059,0.0001669683,0.00038676048,0.0030277479,0.0013972493,0.001074349,0.17445605,0.3892384,0.40577388],"study_design_scores_gemma":[0.00015644348,0.00045060233,0.016466036,0.031876273,0.00025828255,0.0006013356,0.06296687,0.0036405553,0.0012193356,0.3030967,0.57889014,0.00037733684],"about_ca_topic_score_codex":0.012381883,"about_ca_topic_score_gemma":0.015516959,"teacher_disagreement_score":0.027922774,"about_ca_system_score_codex":0.010064747,"about_ca_system_score_gemma":0.038495194,"threshold_uncertainty_score":0.14767152},"labels":[],"label_agreement":null},{"id":"W864164656","doi":"","title":"Does price really converge among provinces in Canada？ A study using unit root tests for cross-sectional panels","year":2010,"lang":"en","type":"article","venue":"美中公共管理","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Cross-sectional study; Unit root; Geography; Statistics; Mathematics","score_opus":0.04497321931348657,"score_gpt":0.2586530211216549,"score_spread":0.2136798018081683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W864164656","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":[0.9924785,0.00058588845,0.00047676204,0.0010304436,0.00003202511,0.000014702967,0.0024566008,0.000030225032,0.0028948714],"genre_scores_gemma":[0.9980009,0.00010964354,0.00012101876,0.00007222516,0.0000073440833,0.0000037756251,0.001001807,0.000011496689,0.00067165866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99701345,0.00050550676,0.00012242181,0.0006428505,0.0007187233,0.0009971203],"domain_scores_gemma":[0.98405886,0.0045332173,0.002557799,0.0016096552,0.0057186685,0.0015216897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030317456,0.00035922942,0.00096845784,0.00167301,0.0027160572,0.0024832627,0.0024714884,0.00088630506,0.002974037],"category_scores_gemma":[0.019838328,0.00046330612,0.0010278025,0.006243788,0.0018775441,0.0013987807,0.0010619744,0.0013063729,0.00029942128],"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":[0.00019370473,0.000041579733,0.9853651,0.000019216459,0.00035527625,0.00010618396,0.0013265137,0.0008582682,0.00013882069,0.0015391255,0.0024998987,0.0075564384],"study_design_scores_gemma":[0.000016073634,0.000016455564,0.99483585,0.000011532929,0.000069892434,0.000019797662,0.001756553,0.0018892109,0.00008975274,0.00022581186,0.0010527119,0.000016204292],"about_ca_topic_score_codex":0.98962283,"about_ca_topic_score_gemma":0.9884045,"teacher_disagreement_score":0.016669886,"about_ca_system_score_codex":0.016669886,"about_ca_system_score_gemma":0.021581193,"threshold_uncertainty_score":0.12094903},"labels":[],"label_agreement":null},{"id":"W874650425","doi":"10.1016/j.jeca.2006.02.006","title":"Education Efficiency and Labor Market Achievements: An Evaluation for Twenty OECD Countries","year":2006,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings; Data envelopment analysis; Economics; Educational attainment; Tertiary level; Higher education; Demographic economics; Labour economics; Economic growth; Accounting; Psychology; Mathematics education","score_opus":0.01960424047808781,"score_gpt":0.2538212614186605,"score_spread":0.2342170209405727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W874650425","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":[0.98740095,0.00087833015,0.00049666746,0.00017603731,0.000016639173,0.000052145326,0.0044488795,0.00004299859,0.0064872736],"genre_scores_gemma":[0.99375075,0.00046620323,0.0002470516,0.000021005812,0.000017840497,0.000041755527,0.004784411,0.000011867163,0.00065910775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982217,0.0006634181,0.00014281485,0.00014332953,0.00048942625,0.0003393181],"domain_scores_gemma":[0.988801,0.0042870417,0.002591466,0.0005690047,0.0029760224,0.00077557296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051173526,0.0007729579,0.0009185479,0.0071582696,0.0007436869,0.0017378499,0.00064730324,0.00060675945,0.0021578376],"category_scores_gemma":[0.011121903,0.00017491553,0.0015135463,0.012272766,0.000908388,0.0014514192,0.001617858,0.0004040092,0.00038214945],"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":[0.00096712116,0.00026921518,0.9625621,0.00014663729,0.0005315374,0.00026377605,0.0006023188,0.008580167,0.000085601256,0.0013839381,0.0020642555,0.022543326],"study_design_scores_gemma":[0.00007678254,0.00053407706,0.9906454,0.000047989426,0.00044650154,0.00011185503,0.0020320448,0.0023929006,0.0004838808,0.0003978674,0.0028071064,0.000023675655],"about_ca_topic_score_codex":0.031227812,"about_ca_topic_score_gemma":0.02309318,"teacher_disagreement_score":0.031227812,"about_ca_system_score_codex":0.0020841327,"about_ca_system_score_gemma":0.001189553,"threshold_uncertainty_score":0.062092125},"labels":[],"label_agreement":null},{"id":"W887526145","doi":"","title":"The U.S. Economic Growth: Steady but Still below Potential","year":2014,"lang":"en","type":"article","venue":"The journal of business forecasting","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"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":"Atlanta; Economics; Investment (military); Economy; Economic history; Agricultural economics; Political science; Geography; Metropolitan area","score_opus":0.029156942141364675,"score_gpt":0.1929150157182011,"score_spread":0.16375807357683642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W887526145","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015873749,0.039019525,0.00087149104,0.6157461,0.025992746,0.00007807847,0.0042533195,0.000758119,0.2974069],"genre_scores_gemma":[0.5105214,0.12793021,0.006580777,0.08920189,0.013113073,0.00043917552,0.01281526,0.0007957251,0.23860243],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985929,0.0002630959,0.000045810648,0.0001622947,0.00042849418,0.00050728203],"domain_scores_gemma":[0.9972767,0.00029117562,0.00014847166,0.000104701234,0.0010195733,0.0011593986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002268181,0.000949142,0.00051798765,0.0011268046,0.0043926723,0.009826037,0.000763743,0.002379253,0.038298186],"category_scores_gemma":[0.004408355,0.00026556102,0.00037455148,0.0026839287,0.001797059,0.006444856,0.0040655495,0.004495035,0.01606353],"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":[0.000043294054,0.000020036568,0.0028028584,0.00015010296,0.0000052372593,0.0000891945,0.0005078175,0.000053378495,0.00018260501,0.015676288,0.9118692,0.0686],"study_design_scores_gemma":[0.0000119084325,0.00004706473,0.009561858,0.0012413216,0.000009905161,0.00009728064,0.0056466716,0.0001821125,0.00019013938,0.0100650955,0.9729235,0.000023207633],"about_ca_topic_score_codex":0.0153342495,"about_ca_topic_score_gemma":0.024337271,"teacher_disagreement_score":0.038298186,"about_ca_system_score_codex":0.0022401945,"about_ca_system_score_gemma":0.012064204,"threshold_uncertainty_score":0.12812018},"labels":[],"label_agreement":null},{"id":"W90777783","doi":"","title":"Estimating Capital Input for Measuring Business Sector Multifactor Productivity Growth in Canada: Response to Diewert and Yu","year":2012,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Economics; Productivity; Multifactor productivity; Econometrics; Labour economics; Macroeconomics; Total factor productivity","score_opus":0.05244532237549049,"score_gpt":0.2561687012593475,"score_spread":0.203723378883857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W90777783","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":[0.86663926,0.009322643,0.021122435,0.018181268,0.00037060323,0.00051105017,0.024183437,0.00048515535,0.059184145],"genre_scores_gemma":[0.9689437,0.0028481726,0.010982302,0.0011009094,0.000045048113,0.00016772174,0.008292854,0.000079151374,0.0075402413],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99358916,0.0006452776,0.00022871241,0.00046475363,0.004149973,0.0009220856],"domain_scores_gemma":[0.9721706,0.0042059687,0.0012706068,0.00044305777,0.021223456,0.00068630313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046974667,0.0007886356,0.0007078254,0.00295392,0.0023994276,0.0029363253,0.0012858626,0.0006085444,0.0011081321],"category_scores_gemma":[0.037436806,0.0003319403,0.00061687105,0.009883514,0.00074747147,0.00074819586,0.0014237501,0.0011109683,0.00023169965],"study_design_candidate":"simulation_or_modeling","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":[0.00037203458,0.00011066316,0.70908034,0.00082196435,0.00041935375,0.00047857233,0.0038160356,0.053836007,0.0012952068,0.02109144,0.07288371,0.13579462],"study_design_scores_gemma":[0.00004634451,0.00007041198,0.84237736,0.00050526054,0.00017054568,0.000091238915,0.007076247,0.07674605,0.0037314282,0.0035689662,0.06543198,0.00018421683],"about_ca_topic_score_codex":0.99549603,"about_ca_topic_score_gemma":0.9940175,"teacher_disagreement_score":0.08170507,"about_ca_system_score_codex":0.08170507,"about_ca_system_score_gemma":0.066134214,"threshold_uncertainty_score":0.59281456},"labels":[],"label_agreement":null},{"id":"W924592059","doi":"","title":"Why economic development deviates from human development","year":2011,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Economic Growth and Productivity","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Development (topology); Economics; Mathematics","score_opus":0.05868550826302584,"score_gpt":0.21416987929573017,"score_spread":0.15548437103270432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W924592059","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031498097,0.20505616,0.009248388,0.69231075,0.0054726237,0.00002235877,0.0006245931,0.00016932042,0.055597723],"genre_scores_gemma":[0.7103462,0.15853953,0.003686236,0.109069586,0.008977329,0.0000486174,0.00031378577,0.00026266207,0.00875602],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960995,0.0014669322,0.00015041209,0.0004515542,0.0012658789,0.00056564657],"domain_scores_gemma":[0.9878237,0.006576942,0.0010677853,0.0008493661,0.0028931797,0.0007889256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061042206,0.00025932706,0.00076062646,0.0013536059,0.00066362397,0.005052418,0.00071576977,0.0027432996,0.0025096436],"category_scores_gemma":[0.01840536,0.00025659485,0.0003303958,0.0023717866,0.009327952,0.0063768174,0.0020090337,0.0047513875,0.0009847273],"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":[0.00006756894,0.000038755647,0.01034727,0.0006850577,0.00013970853,0.00018619056,0.00094075507,0.0017076366,0.00034286207,0.8037292,0.07952032,0.10229484],"study_design_scores_gemma":[0.000029214489,0.000024789002,0.012462221,0.000592893,0.000027114982,0.00013067028,0.0011903805,0.0006389151,0.00027522986,0.72562987,0.2589594,0.000039224757],"about_ca_topic_score_codex":0.007861603,"about_ca_topic_score_gemma":0.006690423,"teacher_disagreement_score":0.007861603,"about_ca_system_score_codex":0.0027603735,"about_ca_system_score_gemma":0.0034353046,"threshold_uncertainty_score":0.03228259},"labels":[],"label_agreement":null}]}