{"meta":{"query_hash":"bde52273e708","filters":{"venue":"Scientific Research and Development Economics"},"cohort_total":7,"direct_labels_cover":0,"predictions_cover":7,"exported":7,"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/bde52273e708","api":"https://metacan.xera.ac/api/v1/cohort?venue=Scientific+Research+and+Development+Economics"},"results":[{"id":"W2617255129","doi":"10.12737/16674","title":"Studying Formation of Technological Modes in the Economy of Canada","year":2015,"lang":"en","type":"article","venue":"Scientific Research and Development Economics","topic":"Economic Development and Digital Transformation","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":"Mode (computer interface); Kondratiev wave; Technological change; Construct (python library); Period (music); Transition (genetics); Economics; Economy; Economic geography; Econometrics; Keynesian economics; Macroeconomics; Computer science; Physics","score_opus":0.24565320679048866,"score_gpt":0.2766859269595306,"score_spread":0.031032720169041933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617255129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97639585,0.0005924775,0.0007841027,0.00046731802,0.000006062668,0.000018957486,0.0006755785,0.000011515131,0.02104816],"genre_scores_gemma":[0.9964869,0.0003142918,0.00023445427,0.000010007212,0.0000011203042,0.0000030262236,0.00018760028,0.000002940533,0.0027597186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996792,0.000018904248,0.0000085394,0.000042483236,0.0000922323,0.00015856524],"domain_scores_gemma":[0.9994753,0.00009518504,0.000095670825,0.000020808799,0.00021394015,0.000099083496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029656637,0.00014703095,0.00014901216,0.0025538162,0.002467604,0.0029621173,0.00046411768,0.00029893982,0.0021475244],"category_scores_gemma":[0.0018022775,0.00014250563,0.00025596347,0.0031117762,0.0010730758,0.00084123196,0.00089573854,0.0004818242,0.00012324488],"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":[0.00029767418,0.000078563135,0.5637007,0.0001877635,0.00013781436,0.0018524437,0.019596238,0.0360258,0.003383549,0.2692109,0.0049478156,0.10058081],"study_design_scores_gemma":[0.000018215107,0.000041443178,0.86828357,0.00013648022,0.00007354605,0.00024245893,0.016092937,0.038152713,0.002414081,0.020446036,0.053963486,0.00013507412],"about_ca_topic_score_codex":0.9813572,"about_ca_topic_score_gemma":0.97884834,"teacher_disagreement_score":0.96272826,"about_ca_system_score_codex":0.03727172,"about_ca_system_score_gemma":0.0258017,"threshold_uncertainty_score":0.27042657},"labels":[],"label_agreement":null},{"id":"W2740598776","doi":"10.12737/article_59816e5cd6eaa3.26235604","title":"Methodology of Institutional Traps Neutralization in USA and Canada","year":2017,"lang":"en","type":"article","venue":"Scientific Research and Development Economics","topic":"Economic Development and Digital Transformation","field":"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":"Language change; Bureaucracy; Enforcement; Institution; Business; Incentive; Law enforcement; Economic system; Economics; Political science; Economic growth; Market economy","score_opus":0.3218412063359421,"score_gpt":0.32921883607422026,"score_spread":0.0073776297382781575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740598776","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":[0.6994034,0.0015238445,0.070067644,0.0012502372,0.00010503874,0.004176009,0.008051511,0.00049096224,0.21493134],"genre_scores_gemma":[0.93344086,0.0007396126,0.04046059,0.00018579164,0.000011871735,0.0013117725,0.0028550117,0.00006712897,0.0209273],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997465,0.00036241955,0.00009502538,0.00037286227,0.00093451084,0.00077015837],"domain_scores_gemma":[0.9955903,0.00076954963,0.00040153516,0.00020175733,0.0026863124,0.0003505664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020785597,0.00040381093,0.0004818118,0.009248245,0.003950355,0.0028605831,0.001336821,0.00046887752,0.008347628],"category_scores_gemma":[0.006995831,0.000229888,0.00062254164,0.010703403,0.0021641129,0.00087021856,0.0022814514,0.0008727313,0.0003738309],"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":[0.0003478953,0.0002986276,0.2917701,0.0009929233,0.00020180523,0.0016233897,0.024293268,0.0130457785,0.0025476655,0.40074506,0.019537516,0.24459593],"study_design_scores_gemma":[0.00011675366,0.00024830602,0.5424168,0.00086518424,0.00054173823,0.0006096424,0.119249225,0.08372019,0.007468658,0.049845427,0.1946917,0.00022642333],"about_ca_topic_score_codex":0.9104859,"about_ca_topic_score_gemma":0.9134217,"teacher_disagreement_score":0.08951408,"about_ca_system_score_codex":0.033955794,"about_ca_system_score_gemma":0.04150683,"threshold_uncertainty_score":0.2463677},"labels":[],"label_agreement":null},{"id":"W4242869760","doi":"10.12737/17719","title":"Research on Formation of Kondratiev Сycles in Canadian Economy","year":2016,"lang":"en","type":"article","venue":"Scientific Research and Development Economics","topic":"Economic Development and Digital Transformation","field":"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":"Kondratiev wave; Economics; Keynesian economics; Economy","score_opus":0.19442380118733746,"score_gpt":0.3129104444617495,"score_spread":0.11848664327441202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242869760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9568597,0.0026601877,0.0011763003,0.000630149,0.000015636308,0.000027834756,0.00072813546,0.00001510614,0.037886977],"genre_scores_gemma":[0.99542445,0.001025474,0.00031263073,0.000019947749,0.000004434767,0.000003997517,0.00030768022,0.00000390993,0.002897509],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996203,0.000028710094,0.000019101095,0.00006672293,0.0001389256,0.00012616972],"domain_scores_gemma":[0.99886215,0.00014469158,0.00023338136,0.000057841677,0.00056162017,0.00014029501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049818127,0.00018838116,0.00020511208,0.0036427649,0.0022631828,0.0021902993,0.00048096062,0.00025762393,0.0036724776],"category_scores_gemma":[0.0032569803,0.00015108343,0.0003111345,0.005297167,0.0010787654,0.0010839754,0.0006682013,0.00035663167,0.00013246192],"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":[0.00016393528,0.000051825846,0.6107464,0.00025727457,0.00012010656,0.0004957728,0.010258818,0.0054402943,0.0022638834,0.24259095,0.003473338,0.124137476],"study_design_scores_gemma":[0.000005375026,0.000020698388,0.9368821,0.00009127446,0.00005423715,0.00012343725,0.0062323995,0.0053415303,0.0007124031,0.007893791,0.04259979,0.000043045362],"about_ca_topic_score_codex":0.882939,"about_ca_topic_score_gemma":0.9111164,"teacher_disagreement_score":0.11706102,"about_ca_system_score_codex":0.01825185,"about_ca_system_score_gemma":0.011410489,"threshold_uncertainty_score":0.23550081},"labels":[],"label_agreement":null},{"id":"W4309008583","doi":"10.12737/2587-9111-2022-10-6-4-7","title":"The problem of income distribution between labor and capital","year":2022,"lang":"en","type":"article","venue":"Scientific Research and Development Economics","topic":"Economic Development and Digital Transformation","field":"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; Per capita; Gross domestic product; Per capita income; Distribution (mathematics); Total personal income; Real gross domestic product; Labour economics; Wage share; Income distribution; Capital (architecture); Econometric model; Demographic economics; Monetary economics; Macroeconomics; Population; Wage; Econometrics; Gross income; Geography; Efficiency wage; Market economy","score_opus":0.06628765842036707,"score_gpt":0.2573890571819732,"score_spread":0.19110139876160612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309008583","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":[0.34984744,0.022267547,0.4686084,0.050263755,0.00079795485,0.0003914542,0.005243947,0.000260032,0.1023195],"genre_scores_gemma":[0.96936876,0.0034591109,0.015449078,0.0008034057,0.00078448234,0.00028471038,0.0007469944,0.00008918691,0.00901425],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9924165,0.0039897924,0.00027120198,0.0018379536,0.00081052637,0.0006741001],"domain_scores_gemma":[0.97933596,0.016594812,0.0016046041,0.0008737511,0.0012107942,0.0003801185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008045463,0.0006449816,0.0015894263,0.003517201,0.0016648805,0.005001359,0.0032431814,0.0023060236,0.009217762],"category_scores_gemma":[0.042567566,0.0006696446,0.0008048974,0.0053644944,0.0051194797,0.008484874,0.0031515737,0.0033157333,0.0010470753],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000116524156,0.00007836068,0.031539474,0.00018897581,0.00016581712,0.0003307767,0.00074278086,0.017369045,0.00011512685,0.85416764,0.005662834,0.08952257],"study_design_scores_gemma":[0.000025769492,0.000039003357,0.012796846,0.00018159804,0.000021597107,0.00027942748,0.0010860604,0.03493985,0.00019079976,0.9407698,0.0096396655,0.000029434963],"about_ca_topic_score_codex":0.007877605,"about_ca_topic_score_gemma":0.0020428163,"teacher_disagreement_score":0.009217762,"about_ca_system_score_codex":0.0047725127,"about_ca_system_score_gemma":0.0011604235,"threshold_uncertainty_score":0.042549014},"labels":[],"label_agreement":null},{"id":"W4309008589","doi":"10.12737/2587-9111-2022-10-6-16-20","title":"Does the distribution of income between labor and capital affect economic growth?","year":2022,"lang":"en","type":"article","venue":"Scientific Research and Development Economics","topic":"Economic Development and Digital Transformation","field":"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; Distribution (mathematics); Income distribution; Productivity; Labour economics; Wage; Wage share; Capital (architecture); Human capital; Demographic economics; Macroeconomics; Efficiency wage; Market economy; Geography; Inequality","score_opus":0.049168656304901526,"score_gpt":0.25820245224022415,"score_spread":0.20903379593532262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309008589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98655427,0.0014517768,0.0031687503,0.0011519359,0.000021863238,0.000018935894,0.00070354814,0.000020632453,0.006908229],"genre_scores_gemma":[0.9985567,0.00045238805,0.0002092704,0.000043812444,0.000018785702,0.000005188286,0.00023061602,0.0000054819193,0.00047778097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925286,0.00030963597,0.00003576153,0.000121604804,0.00008314528,0.000197001],"domain_scores_gemma":[0.9935097,0.0042554145,0.0012899654,0.000309319,0.00031164155,0.0003239524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017249188,0.00032468681,0.00039876997,0.0012526631,0.00026832955,0.0014264005,0.0003332092,0.000531537,0.002537915],"category_scores_gemma":[0.0071824226,0.00016536444,0.00057453645,0.0019622552,0.0010669179,0.0014790953,0.0008072847,0.0007602209,0.0005477507],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014555921,0.00006791376,0.9692342,0.000042759002,0.00015465159,0.00020933159,0.0002014459,0.010065808,0.00031553704,0.0033812143,0.00036839672,0.015813237],"study_design_scores_gemma":[0.000007697734,0.00006460742,0.97880197,0.000032267053,0.000062252504,0.0001048211,0.00080054614,0.013146007,0.00043808424,0.0050080754,0.0015201225,0.000013479713],"about_ca_topic_score_codex":0.009626703,"about_ca_topic_score_gemma":0.007557044,"teacher_disagreement_score":0.009626703,"about_ca_system_score_codex":0.0007631715,"about_ca_system_score_gemma":0.00040240274,"threshold_uncertainty_score":0.019141376},"labels":[],"label_agreement":null},{"id":"W4400891311","doi":"10.12737/2587-9111-2024-12-3-4-8","title":"Trends in the Distribution of Income Between Labor and Capital in Countries with a High Share of Labor in GDP","year":2024,"lang":"en","type":"article","venue":"Scientific Research and Development Economics","topic":"Economic Development and Digital Transformation","field":"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; Distribution (mathematics); Income distribution; Labour economics; Capital (architecture); Demographic economics; Inequality; Geography","score_opus":0.05116891379260678,"score_gpt":0.2690672306791604,"score_spread":0.2178983168865536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400891311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948166,0.00021271846,0.00042242598,0.00008210496,0.0000052755927,0.0000058997803,0.001835374,0.0000129837945,0.0026067984],"genre_scores_gemma":[0.99717146,0.00012221606,0.0002983404,0.00001029913,0.0000046155405,0.000007899683,0.001829644,0.000005236461,0.00055033114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995121,0.00008056757,0.000046122575,0.00013060756,0.000069406175,0.00016111492],"domain_scores_gemma":[0.9979232,0.00059518195,0.0007347736,0.00014131323,0.00048391504,0.00012154981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092730863,0.00014198762,0.0002495421,0.0023350494,0.00026007532,0.0010858586,0.00021036372,0.0002554576,0.0014151738],"category_scores_gemma":[0.002906369,0.00014268007,0.00030573842,0.0040774154,0.00029904302,0.0010033728,0.00052591885,0.00038311095,0.00036750158],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015788984,0.000030161951,0.9780175,0.000042312728,0.000084671345,0.00017128469,0.000600453,0.0029281888,0.00048772458,0.00217217,0.00093254336,0.014375006],"study_design_scores_gemma":[0.0000025898496,0.000044541008,0.99456364,0.000019025034,0.000015457525,0.0001000638,0.0009951588,0.0013938094,0.00026661064,0.00038050974,0.0022100154,0.000008621897],"about_ca_topic_score_codex":0.007410116,"about_ca_topic_score_gemma":0.0067953593,"teacher_disagreement_score":0.007410116,"about_ca_system_score_codex":0.0006420711,"about_ca_system_score_gemma":0.0002536882,"threshold_uncertainty_score":0.01473397},"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}]}