{"meta":{"query_hash":"2826e3d2aa7b","filters":{"venue":"Economics of Transition"},"cohort_total":18,"direct_labels_cover":0,"predictions_cover":18,"exported":18,"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/2826e3d2aa7b","api":"https://metacan.xera.ac/api/v1/cohort?venue=Economics+of+Transition"},"results":[{"id":"W1598155803","doi":"10.1111/j.1468-0351.2007.00317.x","title":"Male–female wage discrimination in Chinese industry <i>Investigation using firm‐level data</i><sup>1</sup>","year":2007,"lang":"en","type":"article","venue":"Economics of Transition","topic":"Labor market dynamics and wage inequality","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":"University of Winnipeg","funders":"","keywords":"Wage; Productivity; Converse; Labour economics; Economics; Notice; Private sector; Gender discrimination; Efficiency wage; China; Demographic economics","score_opus":0.07802460573076245,"score_gpt":0.269770502951017,"score_spread":0.19174589722025456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1598155803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987631,0.000041740543,0.000059123522,0.000037899183,0.0000014381155,0.0000053348613,0.00048052074,0.0000017753091,0.0006091468],"genre_scores_gemma":[0.99911505,0.000024204443,0.000041640127,0.000008597426,0.000003558289,0.0000039714364,0.00064014154,3.034273e-7,0.00016262273],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994861,0.000075959906,0.000045490724,0.00008689797,0.0001601524,0.00014532202],"domain_scores_gemma":[0.99739695,0.0005754302,0.0012792015,0.00018060434,0.00032648127,0.0002412783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009656703,0.00015986786,0.00024322035,0.0024215989,0.00048445893,0.0005354043,0.0003462102,0.00022058302,0.0020665014],"category_scores_gemma":[0.0016772441,0.000110785775,0.00026965444,0.0027268028,0.0003526562,0.0002943683,0.0005343986,0.00023733865,0.00019271052],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001855197,0.00002507887,0.99558485,0.000012502365,0.000021683472,0.000080601996,0.00025572765,0.000104400664,0.00024848053,0.00016599448,0.00025361878,0.0032284025],"study_design_scores_gemma":[9.603186e-7,0.000009542117,0.9990452,0.000002392768,0.000005638887,0.000018612225,0.00021819651,0.00037865865,0.00009445913,0.000020892587,0.00020352547,0.0000018632905],"about_ca_topic_score_codex":0.04403626,"about_ca_topic_score_gemma":0.058765832,"teacher_disagreement_score":0.04403626,"about_ca_system_score_codex":0.00072452636,"about_ca_system_score_gemma":0.00059529155,"threshold_uncertainty_score":0.08755988},"labels":[],"label_agreement":null},{"id":"W1698552157","doi":"10.1111/j.1468-0351.2010.00390.x","title":"Young children and women's labour force participation in Russia, 1992–2004<sup>1</sup>","year":2010,"lang":"en","type":"article","venue":"Economics of Transition","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","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":"Brock University; University of Guelph","funders":"","keywords":"Demographic economics; Economics; Labour economics","score_opus":0.006832753705303281,"score_gpt":0.23362609961266292,"score_spread":0.22679334590735964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1698552157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99913776,0.000101832986,0.000013333844,0.00005335023,0.0000023698115,0.0000015512918,0.00030423526,5.396289e-7,0.0003851025],"genre_scores_gemma":[0.9991683,0.00010075916,0.000016031132,0.000008141967,0.0000031036832,0.0000037586171,0.00025729727,5.2207196e-7,0.00044212746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979025,0.00005044501,0.000015861759,0.000026898362,0.00003065337,0.00008591066],"domain_scores_gemma":[0.9994124,0.00010912487,0.0003292308,0.000017841638,0.000050026614,0.00008137354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051663973,0.000081799815,0.00016217519,0.00061162264,0.0003459923,0.00048289303,0.00020575555,0.00019704875,0.001606547],"category_scores_gemma":[0.0010652773,0.00008874839,0.00019118923,0.00062026264,0.0002448565,0.00017034067,0.00044296886,0.00028067836,0.0002300711],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056536708,0.000018749419,0.9951426,0.000015677399,0.000018324454,0.00009153546,0.0014473059,0.00009481101,0.0002500273,0.000099449535,0.00018997525,0.0025751127],"study_design_scores_gemma":[7.144466e-7,0.0000137244815,0.9986589,0.0000063574053,0.000004508617,0.00004328085,0.0007716738,0.000027672888,0.00004557752,0.000012317736,0.0004143176,9.008106e-7],"about_ca_topic_score_codex":0.032123722,"about_ca_topic_score_gemma":0.04923712,"teacher_disagreement_score":0.032123722,"about_ca_system_score_codex":0.0007256095,"about_ca_system_score_gemma":0.0004582882,"threshold_uncertainty_score":0.06387347},"labels":[],"label_agreement":null},{"id":"W1926970334","doi":"10.1111/j.1468-0351.2011.00429.x","title":"Credit risk assessment in the microfinance industry","year":2011,"lang":"en","type":"article","venue":"Economics of Transition","topic":"Microfinance and Financial Inclusion","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":"Université du Québec à Trois-Rivières","funders":"","keywords":"Microfinance; Outreach; Credit risk; Corporate governance; Constructive; Risk management; Margin (machine learning); Business; Economics; Financial risk management; Actuarial science; Control (management); Accounting; Financial system; Finance; Economic growth; Process (computing); Management","score_opus":0.03856258812549498,"score_gpt":0.22024818323212925,"score_spread":0.18168559510663426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1926970334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843313,0.0008609541,0.006365407,0.00086447963,0.000012016094,0.00003860192,0.000121188124,0.000028339138,0.0073777223],"genre_scores_gemma":[0.99915254,0.00008504299,0.00029218607,0.000009327163,0.000007796816,0.0000033203783,0.000023113102,0.0000010635971,0.00042573354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854136,0.00051677437,0.00009958631,0.00013901207,0.00046252637,0.00024065173],"domain_scores_gemma":[0.9833334,0.006677473,0.0061357133,0.0003473661,0.0024258634,0.0010801611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003472583,0.0003179935,0.000333673,0.003148696,0.0003643713,0.0019221855,0.00046126542,0.00073093997,0.002592027],"category_scores_gemma":[0.014753025,0.00009754447,0.00025602645,0.0021400119,0.0007797078,0.0016138093,0.001512736,0.0007482148,0.00023355456],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003361998,0.00037122116,0.85471475,0.00012341293,0.00011018189,0.0005761738,0.0009878192,0.05153419,0.00086311344,0.014287251,0.0017979397,0.07429777],"study_design_scores_gemma":[0.000024195255,0.00050142314,0.71280855,0.00024092343,0.00006112442,0.00046640667,0.0037869702,0.23033729,0.0030734942,0.04491448,0.00371182,0.000073352174],"about_ca_topic_score_codex":0.00523403,"about_ca_topic_score_gemma":0.0039354484,"teacher_disagreement_score":0.00523403,"about_ca_system_score_codex":0.0015085284,"about_ca_system_score_gemma":0.0007064332,"threshold_uncertainty_score":0.018364966},"labels":[],"label_agreement":null},{"id":"W2048091220","doi":"10.1111/1468-0351.t01-1-00129","title":"Privatization and enterprise wage structures during transition: Evidence from rural industry in china","year":2002,"lang":"en","type":"article","venue":"Economics of Transition","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","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 Northern British Columbia; University of Winnipeg; University of British Columbia","funders":"","keywords":"Wage; Earnings; China; Labour economics; Wage inequality; Sample (material); Economics; Business; Demographic economics; Political science; Finance","score_opus":0.01080897654018257,"score_gpt":0.22660692672063174,"score_spread":0.21579795018044917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048091220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997764,0.000025087325,0.000012662972,0.000030842577,3.006961e-7,0.000001994643,0.000035318153,4.2100837e-7,0.0001168304],"genre_scores_gemma":[0.9997832,0.00003192717,0.000010276984,0.0000077978175,0.0000011355071,0.0000016631797,0.00006754459,2.3045764e-7,0.00009615351],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999629,0.000076597724,0.000026793034,0.000054068725,0.000056552493,0.00015691358],"domain_scores_gemma":[0.9973642,0.000302877,0.0015476887,0.00015298289,0.00029213133,0.0003400943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060115225,0.00011880371,0.00017995609,0.0011741862,0.0007642767,0.0005089219,0.0003126504,0.00024280719,0.0014339479],"category_scores_gemma":[0.0019516523,0.00014815824,0.00019678965,0.0017813143,0.000885008,0.0004197081,0.00077063125,0.0002606331,0.00010833576],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006649416,0.000062415405,0.9932494,0.000011225826,0.000017970253,0.000108022425,0.0019976092,0.0001233047,0.00028749174,0.0001592709,0.00011574646,0.0038010592],"study_design_scores_gemma":[0.0000030411843,0.000020988133,0.998776,0.000002103766,0.00000389984,0.000012486644,0.0009090051,0.0001191872,0.00003534889,0.000025960026,0.00009072094,0.0000011818707],"about_ca_topic_score_codex":0.09365709,"about_ca_topic_score_gemma":0.16365461,"teacher_disagreement_score":0.09365709,"about_ca_system_score_codex":0.0012553331,"about_ca_system_score_gemma":0.0011371651,"threshold_uncertainty_score":0.18622386},"labels":[],"label_agreement":null},{"id":"W2100819365","doi":"10.1111/j.0967-0750.2004.00196.x","title":"Capital markets and capital allocation: Implications for economies in transition*","year":2004,"lang":"en","type":"article","venue":"Economics of Transition","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":160,"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; Capital market; Monetary economics; Shareholder; Property rights; Market economy; Corporate governance; Economy; Finance","score_opus":0.010770085220285336,"score_gpt":0.18980194210448112,"score_spread":0.1790318568841958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100819365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77410305,0.021644946,0.011665614,0.10378976,0.00035131906,0.000060750874,0.0006668836,0.000047201152,0.08767052],"genre_scores_gemma":[0.9970829,0.0015058436,0.00023518298,0.00031201312,0.00009999223,0.00000720365,0.00002372633,8.703828e-7,0.0007323552],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998041,0.00006008508,0.0000066115113,0.000027111048,0.000021280273,0.000080849306],"domain_scores_gemma":[0.996756,0.0016038311,0.00077729096,0.000054327058,0.00032932442,0.00047906008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005447577,0.00018659103,0.00026534082,0.00096194673,0.00060927996,0.002360827,0.00022423861,0.0007436093,0.00575338],"category_scores_gemma":[0.003482357,0.00007578463,0.00026487827,0.0012325406,0.0025909287,0.0025879769,0.0010197267,0.001083471,0.00012021555],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019286048,0.000106415784,0.047757108,0.000116135445,0.000054389093,0.000561623,0.0008370777,0.014990475,0.00021468817,0.8988867,0.0063450336,0.029937528],"study_design_scores_gemma":[0.00003166089,0.000049748378,0.05131354,0.000100055164,0.000025629306,0.00015363116,0.0013389518,0.011864912,0.00014971678,0.92582613,0.009123777,0.00002219047],"about_ca_topic_score_codex":0.0095019,"about_ca_topic_score_gemma":0.0055946633,"teacher_disagreement_score":0.0095019,"about_ca_system_score_codex":0.0018185073,"about_ca_system_score_gemma":0.00078815996,"threshold_uncertainty_score":0.019246936},"labels":[],"label_agreement":null},{"id":"W2108067658","doi":"10.1111/j.1468-0351.2006.00268.x","title":"Problems measuring the underground economy in transition<sup>1</sup>","year":2006,"lang":"en","type":"article","venue":"Economics of Transition","topic":"Taxation and Compliance Studies","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":"École Nationale d'Administration Publique","funders":"","keywords":"Economics; Pace; Electricity; Consumption (sociology); Czech; Economy; Transition (genetics); Macro; Macroeconomics; Econometrics; Microeconomics; Monetary economics","score_opus":0.029778935682162513,"score_gpt":0.18836362614986107,"score_spread":0.15858469046769857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108067658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95722306,0.0008985269,0.035052843,0.001785641,0.000029446785,0.000056901026,0.0015467015,0.000048534774,0.0033583664],"genre_scores_gemma":[0.9971631,0.000094630064,0.0022735281,0.000026536276,0.000009735272,0.000018420766,0.00030529252,0.0000037781226,0.000104924395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99693584,0.0017231148,0.000309674,0.00045299658,0.00032069805,0.00025771587],"domain_scores_gemma":[0.9695617,0.021551184,0.005238409,0.0011503812,0.0019843036,0.0005141395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005048879,0.00022946775,0.000617011,0.0022219508,0.0006571706,0.00221713,0.0007622325,0.00072917005,0.00156988],"category_scores_gemma":[0.030791169,0.000198779,0.00042089488,0.004007584,0.0018616954,0.0023187217,0.0018522897,0.0011747109,0.00012644552],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029524218,0.000117387826,0.7255537,0.0002501426,0.00024406648,0.00032103236,0.0027862438,0.050508045,0.00079967384,0.14559981,0.003126771,0.07039788],"study_design_scores_gemma":[0.000057957783,0.00026604097,0.5341385,0.0003752097,0.00015674441,0.00045093748,0.016972398,0.1331862,0.004296809,0.29922804,0.010750513,0.00012060677],"about_ca_topic_score_codex":0.02201211,"about_ca_topic_score_gemma":0.009349785,"teacher_disagreement_score":0.02201211,"about_ca_system_score_codex":0.0021650274,"about_ca_system_score_gemma":0.0009746468,"threshold_uncertainty_score":0.04376799},"labels":[],"label_agreement":null},{"id":"W2112281240","doi":"10.1111/j.1468-0351.2012.00441.x","title":"Consumption smoothing in Russia<sup>1</sup>","year":2012,"lang":"en","type":"article","venue":"Economics of Transition","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Consumption smoothing; Economics; Consumption (sociology); Smoothing; Econometrics; Estimation; Poverty; Imputation (statistics); Panel data; Standard of living; Food consumption; Macroeconomics; Economic growth; Agricultural economics; Statistics; Business cycle; Missing data; Mathematics","score_opus":0.016336298085090774,"score_gpt":0.20279722861646587,"score_spread":0.1864609305313751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112281240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99870074,0.000049784743,0.00026143168,0.000039590275,0.0000014752785,0.0000016803249,0.0005749315,0.0000055233095,0.00036490647],"genre_scores_gemma":[0.9987325,0.000047813428,0.00014971058,0.0000042690735,0.0000017548836,0.0000025304737,0.00076896173,0.0000020178888,0.00029042864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998023,0.00007968715,0.000013317085,0.000047401387,0.000025338572,0.000031964588],"domain_scores_gemma":[0.9993381,0.00020549561,0.0002603705,0.00009646929,0.00007609111,0.000023344212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072706136,0.00008921456,0.00023781616,0.00032172227,0.00015169375,0.00031577633,0.00018581747,0.00012211391,0.0012395378],"category_scores_gemma":[0.0012684701,0.00008964283,0.00024896036,0.0006377456,0.00014607316,0.00015708327,0.0002580273,0.00019380286,0.00019514574],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021650831,0.00005220857,0.9763703,0.000037965703,0.00015094361,0.00008405878,0.0010200853,0.004448693,0.0010791278,0.0017802068,0.0006927725,0.014067288],"study_design_scores_gemma":[0.000002783802,0.000027874483,0.99489933,0.000006522402,0.000030792038,0.00002602041,0.00021994382,0.00326391,0.00031721996,0.0002708293,0.0009307733,0.0000040920368],"about_ca_topic_score_codex":0.023237245,"about_ca_topic_score_gemma":0.013737876,"teacher_disagreement_score":0.023237245,"about_ca_system_score_codex":0.00047969236,"about_ca_system_score_gemma":0.00027957588,"threshold_uncertainty_score":0.04620403},"labels":[],"label_agreement":null},{"id":"W2131707887","doi":"10.1111/j.1468-0351.2007.00306.x","title":"Employment fluctuations and dynamics of the aggregate average wage in Poland, 1996–2003<sup>1</sup>","year":2007,"lang":"en","type":"article","venue":"Economics of Transition","topic":"Labor market dynamics and wage inequality","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":"Generosity; Economics; Wage; Welfare; Labour economics; Quarter (Canadian coin); Demographic economics; Population; Aggregate (composite); Demography; Market economy; Geography","score_opus":0.01147576829190675,"score_gpt":0.2052390642718595,"score_spread":0.19376329597995276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131707887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981699,0.00006664085,0.0001170023,0.000092463626,0.0000020191712,0.0000026641449,0.0010308642,0.0000055597716,0.0005128286],"genre_scores_gemma":[0.998309,0.00007944773,0.00008805861,0.000009975431,0.000003719223,0.000005257169,0.0011516964,0.000003527178,0.00034937536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997576,0.00002407155,0.000052363735,0.000057826102,0.000055207314,0.000053014497],"domain_scores_gemma":[0.9984114,0.00020805401,0.0009232751,0.00008476712,0.0002901512,0.00008238782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067614915,0.000121703095,0.00032459674,0.0009675573,0.000266758,0.0010468623,0.00031251422,0.00033425502,0.00083398295],"category_scores_gemma":[0.0026830877,0.00014150105,0.00020605378,0.0023772584,0.00023681762,0.00040995827,0.00057985017,0.00040708753,0.00034950156],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004313122,0.00005564743,0.9749921,0.000059407004,0.00010078004,0.00036879667,0.0009550649,0.0036088538,0.0015918742,0.0008665934,0.0020501125,0.014919446],"study_design_scores_gemma":[0.0000042300903,0.00001732487,0.99672,0.000009121584,0.000012076763,0.00006890073,0.0003481131,0.0015094997,0.0002485516,0.00012193213,0.0009353553,0.000004866302],"about_ca_topic_score_codex":0.025055751,"about_ca_topic_score_gemma":0.025020186,"teacher_disagreement_score":0.025055751,"about_ca_system_score_codex":0.0010371726,"about_ca_system_score_gemma":0.00031107073,"threshold_uncertainty_score":0.049819827},"labels":[],"label_agreement":null},{"id":"W2132482964","doi":"10.1111/j.1468-0351.2007.00305.x","title":"Patrilocality and human capital accumulation <i>Evidence from Central Asia</i><sup>1</sup>","year":2007,"lang":"en","type":"article","venue":"Economics of Transition","topic":"Culture, Economy, and Development Studies","field":"Social Sciences","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 Guelph","funders":"","keywords":"Human capital; Agrarian society; Educational attainment; Economics; Demographic economics; Development economics; Economic growth; Labour economics; Geography; Agriculture","score_opus":0.045328266653843007,"score_gpt":0.29932522966077596,"score_spread":0.253996963006933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132482964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998511,0.00019110774,0.000049823633,0.00009622679,0.0000016092317,0.0000011416397,0.00006448709,8.457571e-7,0.0010837114],"genre_scores_gemma":[0.9997477,0.00008657665,0.000020412836,0.0000072187017,0.0000019443423,6.4846495e-7,0.000036405196,3.104599e-7,0.000098853176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997329,0.00008924446,0.000016998427,0.000057742236,0.000034556364,0.000068451816],"domain_scores_gemma":[0.99472636,0.0015461427,0.0026419654,0.00027780622,0.00038300603,0.000424724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076076447,0.00013811678,0.00015671391,0.00091789966,0.00055227045,0.0009069575,0.00028590093,0.00012938285,0.0035802906],"category_scores_gemma":[0.002417958,0.000109206376,0.0001257949,0.0013943181,0.0014153173,0.00032685493,0.00079421216,0.00032621768,0.00013984874],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006283383,0.00004369678,0.990053,0.000031414205,0.00007517967,0.00012377607,0.0014074796,0.00016604,0.00033169021,0.0009496701,0.00011933436,0.0066359523],"study_design_scores_gemma":[0.0000013016997,0.000023761011,0.9981881,0.000011013894,0.000020232648,0.000036448095,0.0010545754,0.000074055046,0.0001102689,0.00021077978,0.00026774104,0.0000017760594],"about_ca_topic_score_codex":0.01867093,"about_ca_topic_score_gemma":0.026940865,"teacher_disagreement_score":0.01867093,"about_ca_system_score_codex":0.00044357247,"about_ca_system_score_gemma":0.00036706182,"threshold_uncertainty_score":0.037124455},"labels":[],"label_agreement":null},{"id":"W2146332660","doi":"10.1111/1468-0351.00093","title":"Squatting as a transition problem in South Africa","year":2001,"lang":"en","type":"article","venue":"Economics of Transition","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","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":"Simon Fraser University","funders":"","keywords":"Squatting position; Property rights; Economics; Politics; Incentive; Government (linguistics); Land reform; Private property; Land tenure; Duty; Market economy; Political science; Law; Agriculture; Geography; Microeconomics","score_opus":0.014652487185613816,"score_gpt":0.1806319955959255,"score_spread":0.16597950841031167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146332660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8955095,0.0018566299,0.003552825,0.027357014,0.00006442599,0.00006901854,0.00011367033,0.000029086492,0.07144776],"genre_scores_gemma":[0.99741495,0.00037674396,0.00013595443,0.00020128857,0.000014563257,0.0000088932775,0.000013061966,0.0000022161537,0.0018323556],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992343,0.00018340016,0.000023506132,0.000054599743,0.000054919972,0.0004492681],"domain_scores_gemma":[0.998806,0.0004089977,0.000335924,0.000055964643,0.00007013992,0.000323075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008795874,0.00016106729,0.0002756255,0.00056054833,0.0033924521,0.0032081448,0.00044834317,0.0022004773,0.0076604276],"category_scores_gemma":[0.0023415543,0.00018332026,0.00027227087,0.001229202,0.0059403707,0.0036203298,0.0032133271,0.001943358,0.00024425145],"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":[0.00022802698,0.00013144009,0.018412273,0.00026744872,0.000020021998,0.004870246,0.017170558,0.006328495,0.0022681395,0.91280645,0.0075660446,0.029930864],"study_design_scores_gemma":[0.00021494145,0.00031937487,0.07256648,0.0006311579,0.000050323055,0.0037689921,0.08684003,0.016358232,0.0011600072,0.6686066,0.14939024,0.0000936753],"about_ca_topic_score_codex":0.021578873,"about_ca_topic_score_gemma":0.016423687,"teacher_disagreement_score":0.021578873,"about_ca_system_score_codex":0.004984005,"about_ca_system_score_gemma":0.0028816427,"threshold_uncertainty_score":0.042906523},"labels":[],"label_agreement":null},{"id":"W2147546821","doi":"10.1111/1468-0351.00071","title":"Is inflation targeting feasible in Poland?","year":2001,"lang":"en","type":"article","venue":"Economics of Transition","topic":"Global Financial Crisis and Policies","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":"McGill University","funders":"","keywords":"Inflation targeting; Transparency (behavior); Economics; Central bank; Monetary policy; Inflation (cosmology); Accountability; Independence (probability theory); Monetary economics; Macroeconomics; Empirical evidence","score_opus":0.02451150766811188,"score_gpt":0.22269616761215702,"score_spread":0.19818465994404513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147546821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96485806,0.0012805973,0.010487767,0.0055336286,0.00003208661,0.000042112304,0.00017176142,0.000040047682,0.01755399],"genre_scores_gemma":[0.9978721,0.0006028909,0.00086424494,0.00011393109,0.000026522472,0.000017252329,0.00005482413,0.0000047926815,0.0004434409],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99842584,0.00033453485,0.00018567978,0.00024984014,0.00032587908,0.00047825015],"domain_scores_gemma":[0.995808,0.0010312091,0.0024874478,0.0002178322,0.00026704711,0.00018837303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019641968,0.00015302362,0.0006117687,0.00061441044,0.00059430825,0.0026763235,0.000272685,0.0008498774,0.001316934],"category_scores_gemma":[0.008285468,0.00029122565,0.00031877507,0.000799986,0.0017363292,0.0026363768,0.0016932727,0.0011465946,0.00029320255],"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":[0.0018421083,0.00034229012,0.25663903,0.0017933858,0.0005092966,0.0043501933,0.0057378625,0.023909446,0.010454738,0.47821847,0.0038037205,0.2123994],"study_design_scores_gemma":[0.0006029426,0.0008484846,0.45750782,0.00066028204,0.00036102196,0.0021311054,0.012700848,0.031473372,0.0075324243,0.4543302,0.031714194,0.00013730057],"about_ca_topic_score_codex":0.0025396526,"about_ca_topic_score_gemma":0.0023257777,"teacher_disagreement_score":0.0026763235,"about_ca_system_score_codex":0.00060608407,"about_ca_system_score_gemma":0.0015825342,"threshold_uncertainty_score":0.010387778},"labels":[],"label_agreement":null},{"id":"W2170731428","doi":"10.1111/ecot.12000","title":"Risk sharing in the Middle East and North Africa","year":2012,"lang":"en","type":"article","venue":"Economics of Transition","topic":"Global Financial Crisis and Policies","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":"Vancouver Island University","funders":"","keywords":"Economics; Middle East; Shock (circulatory); Welfare; Remittance; International economics; Development economics; Geography; Economic growth","score_opus":0.07184869309927891,"score_gpt":0.19578169460230185,"score_spread":0.12393300150302294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170731428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960316,0.000277271,0.00018167376,0.0002979971,0.0000028684512,0.0000037741738,0.00004124404,0.0000013978608,0.0031622478],"genre_scores_gemma":[0.99960715,0.000128184,0.000028447339,0.000015638196,0.0000021120468,0.0000017023307,0.000009067904,2.6581358e-7,0.0002074438],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99972063,0.00008902677,0.0000067972164,0.000020611558,0.000033865792,0.0001290859],"domain_scores_gemma":[0.99944466,0.00016751119,0.00025286316,0.000029310928,0.000045599634,0.000059991235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054080173,0.00016315108,0.00019067132,0.0006350142,0.00043340898,0.0007565226,0.00011667754,0.00015945318,0.0025100042],"category_scores_gemma":[0.0017247563,0.000063109204,0.00015372076,0.00067211135,0.0005343823,0.0008406038,0.0010551729,0.0002599816,0.0000701414],"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":[0.0013790961,0.00035252015,0.655707,0.00024240933,0.00062895386,0.0030336455,0.020590141,0.01909124,0.004796252,0.09906705,0.0033926312,0.1917191],"study_design_scores_gemma":[0.00011635033,0.00027167986,0.8978374,0.0002926615,0.0001539078,0.0007686456,0.024116816,0.010398094,0.002085593,0.03924345,0.02467582,0.00003966908],"about_ca_topic_score_codex":0.008071951,"about_ca_topic_score_gemma":0.008332606,"teacher_disagreement_score":0.008071951,"about_ca_system_score_codex":0.0007826419,"about_ca_system_score_gemma":0.00043995638,"threshold_uncertainty_score":0.016049922},"labels":[],"label_agreement":null},{"id":"W2265404872","doi":"10.1111/ecot.12137","title":"Decomposing the German East–West wage gap","year":2017,"lang":"en","type":"preprint","venue":"Economics of Transition","topic":"German Economic Analysis & Policies","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":"Wage; German; Productivity; Quarter (Canadian coin); Economics; Distribution (mathematics); Demographic economics; West germany; Labour economics; Geography; Economic growth; Economic history","score_opus":0.054756395306100186,"score_gpt":0.2578164197422054,"score_spread":0.20306002443610524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2265404872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99466115,0.0006347607,0.0010526805,0.00022345982,0.000013823433,0.0000029932728,0.00073895993,0.000010945336,0.002661267],"genre_scores_gemma":[0.99867696,0.00017014248,0.00018394877,0.000022452394,0.000009426106,0.0000029184398,0.0004996642,0.0000037382633,0.00043075925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975616,0.00003849032,0.000016417196,0.00006532237,0.00005267108,0.00007089507],"domain_scores_gemma":[0.9994363,0.00020345958,0.00021335806,0.000045759265,0.000051052724,0.000049956056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057294156,0.00017035886,0.00029124005,0.0014004497,0.00017302367,0.0008410833,0.00016254674,0.0002218498,0.0031053808],"category_scores_gemma":[0.0009827426,0.00007987841,0.00016089094,0.001780727,0.0003814666,0.0006239292,0.0008698244,0.000271958,0.00035819068],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009965901,0.0001807529,0.64460635,0.00047255843,0.00035364498,0.001205259,0.00588219,0.014713254,0.0040868763,0.114677,0.011767179,0.20105834],"study_design_scores_gemma":[0.00002605897,0.00007413591,0.9638995,0.000080931546,0.000056426685,0.00014294132,0.0030259436,0.006875591,0.00065890164,0.016386999,0.008756606,0.000016032449],"about_ca_topic_score_codex":0.003941794,"about_ca_topic_score_gemma":0.003679909,"teacher_disagreement_score":0.003941794,"about_ca_system_score_codex":0.00030852598,"about_ca_system_score_gemma":0.00022496138,"threshold_uncertainty_score":0.010388494},"labels":[],"label_agreement":null},{"id":"W2795728620","doi":"10.1111/ecot.12156","title":"Pyramidal structure, risk‐taking and firm value","year":2018,"lang":"en","type":"article","venue":"Economics of Transition","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","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":"China Postdoctoral Science Foundation; Northwestern Polytechnical University; National Natural Science Foundation of China","keywords":"Corporate governance; Enterprise value; Value (mathematics); Intervention (counseling); Economics; Politics; State (computer science); China; Business; Monetary economics; Accounting; Finance; Political science; Psychology; Law","score_opus":0.00967199910252524,"score_gpt":0.1842945115872015,"score_spread":0.17462251248467625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795728620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992242,0.000022882336,0.00008612469,0.0000207753,3.625343e-7,0.0000025843726,0.000026475891,0.0000011507393,0.0006154678],"genre_scores_gemma":[0.9999192,0.000007361575,0.000017037646,0.0000011269861,5.7981964e-7,4.5342904e-7,0.000013264162,8.0861724e-8,0.000040848543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996997,0.000058921833,0.000024077804,0.000042612737,0.00009198576,0.0000827439],"domain_scores_gemma":[0.9958424,0.00067933014,0.0022784546,0.00020369071,0.00035082808,0.0006452559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005246196,0.0001159786,0.00015363461,0.00093256397,0.00037085652,0.0010444048,0.00014736374,0.0001775087,0.0014279934],"category_scores_gemma":[0.002085226,0.000060696242,0.00014790022,0.0008718249,0.0008114877,0.0005383172,0.00083522196,0.00023727305,0.000081141625],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033902492,0.000043828884,0.99276394,0.000008915169,0.000037088237,0.00007329458,0.0002532752,0.0008911667,0.00039466127,0.0009813694,0.00006607458,0.004452561],"study_design_scores_gemma":[0.0000036305942,0.00004691096,0.9957094,0.0000065837817,0.000011571789,0.000030083,0.00059435394,0.0021251573,0.00016941705,0.0010937812,0.00020416154,0.000004941522],"about_ca_topic_score_codex":0.0050289887,"about_ca_topic_score_gemma":0.008181484,"teacher_disagreement_score":0.0050289887,"about_ca_system_score_codex":0.0007687133,"about_ca_system_score_gemma":0.00039191975,"threshold_uncertainty_score":0.009999454},"labels":[],"label_agreement":null},{"id":"W3122213692","doi":"10.1111/ecot.12149","title":"Public–private wage differential in a post‐transition economy","year":2018,"lang":"en","type":"article","venue":"Economics of Transition","topic":"Labor market dynamics and wage inequality","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":"Narodowe Centrum Nauki","keywords":"Economics; Counterfactual thinking; Wage; Earnings; Public sector; Private sector; Quarter (Canadian coin); Labour economics; Differential (mechanical device); Demographic economics; Economy; Economic growth","score_opus":0.02529922023413005,"score_gpt":0.20310527511208504,"score_spread":0.17780605487795498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122213692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99922454,0.00003126474,0.00023233127,0.000078513236,0.0000022323784,0.0000025545912,0.000069534595,0.0000025605914,0.0003564275],"genre_scores_gemma":[0.99963915,0.000016416652,0.000034764595,0.000008249153,0.0000029853638,0.0000017317915,0.00007558844,5.3874044e-7,0.00022059305],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997923,0.00004062985,0.000012455442,0.000041959574,0.00003481289,0.000077880664],"domain_scores_gemma":[0.999316,0.0001799604,0.0003077845,0.000041439034,0.00005794002,0.00009693924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050903787,0.000098154516,0.00027510754,0.0005077205,0.00027613447,0.000968972,0.00018893502,0.0003485725,0.00188452],"category_scores_gemma":[0.0014177643,0.000085067804,0.0002116481,0.0005151294,0.00033702076,0.00050607824,0.00065563666,0.0005928385,0.00018940562],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073599676,0.0007276612,0.95506716,0.000052558276,0.00017688112,0.00066621887,0.0012566342,0.008912678,0.0027552557,0.012047627,0.0012289423,0.01637245],"study_design_scores_gemma":[0.000029428706,0.00015565364,0.98084944,0.000013181441,0.000053451473,0.00008814515,0.0011753208,0.013933363,0.000764712,0.0018594363,0.0010672596,0.000010467401],"about_ca_topic_score_codex":0.0076238215,"about_ca_topic_score_gemma":0.005987503,"teacher_disagreement_score":0.0076238215,"about_ca_system_score_codex":0.00053447706,"about_ca_system_score_gemma":0.0002275045,"threshold_uncertainty_score":0.015158892},"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":"W3125510593","doi":"10.1111/j.1468-0351.2008.00322.x","title":"The impact of China's millennium labour restructuring program on firm performance and employee earnings<sup>1</sup>","year":2008,"lang":"en","type":"article","venue":"Economics of Transition","topic":"Firm Innovation and Growth","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":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Restructuring; China; Total factor productivity; Earnings; Labour economics; Productivity; Economics; Profit (economics); Business; Market economy; Finance; Macroeconomics","score_opus":0.01582755335895653,"score_gpt":0.21427465564514955,"score_spread":0.19844710228619303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125510593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984384,0.000068814916,0.000039042803,0.0001713273,0.0000046656305,0.000006949516,0.00055633945,0.000005581043,0.0007089514],"genre_scores_gemma":[0.9988544,0.000030933737,0.000017315588,0.000018045863,0.0000065075105,0.0000037825896,0.0008103082,6.063726e-7,0.00025807275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995246,0.000075932265,0.000024489842,0.000046703037,0.000109035485,0.00021925534],"domain_scores_gemma":[0.99659747,0.0005177989,0.0014283366,0.0001385368,0.0005251751,0.0007926339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011757403,0.00019392633,0.0002207568,0.00078048126,0.00035489738,0.0006788397,0.0003101622,0.00026845213,0.0013301268],"category_scores_gemma":[0.00262286,0.00005601554,0.00025665163,0.0008774946,0.0002604443,0.00030880317,0.0005148148,0.00035998845,0.00014685525],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013248286,0.0000866051,0.988311,0.00001736442,0.000049191796,0.000104571955,0.000096315795,0.0013368072,0.00025119047,0.00026089177,0.0010850916,0.008268419],"study_design_scores_gemma":[0.0000033514052,0.000034572415,0.9986847,0.0000024698568,0.000008708833,0.0000049664036,0.00009697701,0.0007789737,0.000095077274,0.000025141631,0.0002631178,0.0000019199783],"about_ca_topic_score_codex":0.048274174,"about_ca_topic_score_gemma":0.077419035,"teacher_disagreement_score":0.048274174,"about_ca_system_score_codex":0.0012306636,"about_ca_system_score_gemma":0.0016381558,"threshold_uncertainty_score":0.095986366},"labels":[],"label_agreement":null},{"id":"W4248048743","doi":"10.1111/ecot.12158","title":"Issue Information","year":2018,"lang":"en","type":"paratext","venue":"Economics of Transition","topic":"Local Government Finance and Decentralization","field":"Social Sciences","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":"Citation; Computer science; Library science","score_opus":0.00906405448208756,"score_gpt":0.24957771310024648,"score_spread":0.24051365861815893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248048743","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":[0.0001715835,0.00053398655,0.00055123295,0.0028673646,0.010267855,0.00031644714,0.021147022,0.0017426817,0.9624018],"genre_scores_gemma":[0.0006906177,0.00044904844,0.00024340063,0.000938577,0.0016485646,0.000090982365,0.008243492,0.0005636451,0.9871317],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99900985,0.00010189174,0.000075223244,0.00015657669,0.00053357723,0.0001228743],"domain_scores_gemma":[0.9957729,0.0005145472,0.0001765621,0.00054131966,0.0017618935,0.0012327189],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001082224,0.0015662734,0.0013749229,0.002964717,0.002012877,0.008479905,0.0017969382,0.0024861877,0.92361444],"category_scores_gemma":[0.0068473727,0.0005226177,0.0007634375,0.0035513649,0.00071657,0.005831614,0.0022896847,0.0025358591,0.88475984],"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":[0.000009868303,0.000010726223,0.000027346598,0.000075263095,7.108011e-7,0.000009842343,0.0000074458044,0.000013983323,0.000045094574,0.0008734999,0.98574936,0.013176852],"study_design_scores_gemma":[0.0000068796003,0.000006931475,0.00016295945,0.0000716294,6.4785195e-7,0.000016053056,0.000020678784,0.000023596733,0.000039335675,0.00050859526,0.9991398,0.0000029078544],"about_ca_topic_score_codex":0.0029875862,"about_ca_topic_score_gemma":0.0045749084,"teacher_disagreement_score":0.07638556,"about_ca_system_score_codex":0.0016684922,"about_ca_system_score_gemma":0.0022073195,"threshold_uncertainty_score":0.10895473},"labels":[],"label_agreement":null}]}