{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":23,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":23,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"dc513bcf6290","filters":{"venue":"The Journal of Economic Inequality"}},"results":[{"id":"W2158562746","doi":"10.1007/s10888-009-9122-7","title":"Polarization and the decline of the middle class: Canada and the U.S.","year":2009,"lang":"en","type":"article","venue":"The Journal of Economic Inequality","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":356,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Statistics Canada","funders":"","keywords":"Polarization (electrochemistry); Lorenz curve; Inequality; Earnings; Gini coefficient; Middle class; Population; Economic inequality; Income distribution; Economics; Demographic economics; Econometrics; Geography; Mathematics; Demography; Sociology; Mathematical analysis; Chemistry","authors":[{"name":"James E. Foster","is_ca":false},{"name":"Michael Wolfson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.034859488001273,"gpt":0.2758855850116169,"spread":0.2410260970103439,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01191305,0.00008347514,0.0002821675,0.00001356736,0.0006112751,0.00005033009,0.0005030611,0.00004806873,0.00002901861],"category_scores_gemma":[0.0007780725,0.00003250827,0.00008216029,0.00006928275,0.000859279,0.0001544977,0.00007274673,0.000237956,3.28247e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000139465,"about_ca_system_score_gemma":0.000573758,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4589061,"about_ca_topic_score_gemma":0.5841595,"domain_scores_codex":[0.9970596,0.001852445,0.0006470835,0.00006408044,0.0002237976,0.0001530272],"domain_scores_gemma":[0.997553,0.001207921,0.0008468637,0.0002406188,0.0001055516,0.00004605389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001714946,0.00006474433,0.05020671,0.00002668895,0.0001598569,5.480715e-7,0.04670015,0.0002337933,0.00007677498,0.8938679,0.00376325,0.003184597],"study_design_scores_gemma":[0.009929487,0.0001743587,0.523877,0.0001003578,0.0004026287,0.00003819352,0.0253552,0.001924982,0.0004099254,0.4079759,0.02943874,0.0003732888],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9426144,0.0005162779,0.00004007994,0.05251481,0.0004230858,0.000184663,0.00001342766,0.00000193447,0.003691347],"genre_scores_gemma":[0.9946839,0.0003824927,0.00000936674,0.00441826,0.000333145,4.155968e-7,3.127257e-7,0.000002901973,0.0001692133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4858921,"threshold_uncertainty_score":0.5446971,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2017551946","doi":"10.1007/s10888-013-9261-8","title":"Inheritances and the distribution of wealth or whatever happened to the great inheritance boom?","year":2013,"lang":"en","type":"article","venue":"The Journal of Economic Inequality","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":180,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Fell; Inheritance (genetic algorithm); Quarter (Canadian coin); Economics; Boom; Demographic economics; Distribution (mathematics); Net worth; Transfer (computing); National wealth; Consumption (sociology); Pace; Percentage point; Value (mathematics); Point (geometry); Labour economics; Demography; Geography; Statistics; Mathematics; Macroeconomics; Finance","authors":[{"name":"Edward N. Wolff","is_ca":false},{"name":"Maury Gittleman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02495511217776627,"gpt":0.2504184330237702,"spread":0.2254633208460039,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003500412,0.000136493,0.0003781057,0.00004598705,0.0002512158,0.0001848004,0.0004674582,0.00003312567,0.0003557256],"category_scores_gemma":[0.0003328075,0.0000580961,0.0001058343,0.0001878386,0.0001751748,0.001059816,0.0001539043,0.0001440531,0.00006380131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006257823,"about_ca_system_score_gemma":0.00003851964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002259347,"about_ca_topic_score_gemma":0.001197997,"domain_scores_codex":[0.9986096,0.0001318681,0.0008097418,0.0001071103,0.0001638213,0.0001778844],"domain_scores_gemma":[0.9978303,0.0002483184,0.001359386,0.0003027462,0.0002439278,0.0000152644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006442363,0.0001697273,0.8358532,0.0004152014,0.0003252193,0.000004237763,0.003202477,0.001820348,0.0004100094,0.07876188,0.05775799,0.01483732],"study_design_scores_gemma":[0.002282165,0.00009850834,0.9338695,0.0002288316,0.0003730383,0.0000128502,0.001846826,0.005211801,0.0001605396,0.02248644,0.03310855,0.0003209522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905708,0.0003430771,0.0001509014,0.008103489,0.0002547316,0.0003270002,0.000006628716,0.000005209085,0.0002382083],"genre_scores_gemma":[0.9973679,0.0001795148,0.00003510163,0.001685072,0.0005722936,0.000006698342,0.000004045346,0.000008485662,0.0001409489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09801627,"threshold_uncertainty_score":0.3894945,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2129708557","doi":"10.1007/s10888-011-9175-2","title":"Poverty and time","year":2011,"lang":"en","type":"article","venue":"The Journal of Economic Inequality","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":96,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Poverty; Economics; Axiom; Context (archaeology); Measure (data warehouse); Econometrics; Basic needs; Order (exchange); Persistence (discontinuity); Index (typography); Public economics; Development economics; Mathematics; Computer science; Economic growth; Geography","authors":[{"name":"Walter Bossert","is_ca":true},{"name":"Satya R. Chakravarty","is_ca":false},{"name":"Conchita D’Ambrosio","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07166815732650408,"gpt":0.3081483797476801,"spread":0.236480222421176,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007854588,0.00008608444,0.000246442,0.00003757403,0.0002954752,0.00002871428,0.0003622866,0.000069489,0.001530991],"category_scores_gemma":[0.0002248657,0.00005652431,0.00008539417,0.00003784705,0.0002476354,0.0003938955,0.00005621193,0.0001830799,0.00008961612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001451193,"about_ca_system_score_gemma":0.000192223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003128018,"about_ca_topic_score_gemma":0.0003808512,"domain_scores_codex":[0.9982924,0.0007616841,0.000527768,0.00007395947,0.0001329564,0.0002112662],"domain_scores_gemma":[0.9988568,0.0002787791,0.0004876881,0.000179993,0.00008000536,0.0001167138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001376651,0.0004250135,0.1096737,0.00005573508,0.0004098467,0.0000141889,0.2162092,0.0000139853,0.0005572846,0.5996743,0.06189554,0.009694505],"study_design_scores_gemma":[0.003222996,0.001066901,0.2715172,0.00009652122,0.0003645484,0.0001166382,0.02333583,0.0003781157,0.002188534,0.5154424,0.1811004,0.00116996],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8656684,0.0001302921,0.00008394145,0.001147712,0.0005126209,0.00007698212,0.000009268816,0.00001027437,0.1323605],"genre_scores_gemma":[0.9972915,0.0002177229,0.0001201017,0.001124539,0.000492404,3.394374e-7,2.831392e-7,0.000005956222,0.000747165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1928734,"threshold_uncertainty_score":0.9993817,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3035797634","doi":"10.1007/s10888-021-09491-w","title":"Did the UK policy response to Covid-19 protect household incomes?","year":2021,"lang":"en","type":"article","venue":"The Journal of Economic Inequality","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":78,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Economic and Social Research Council; Nuffield Foundation; European Commission; University of Essex","keywords":"Subsidy; Economics; Coronavirus disease 2019 (COVID-19); Microsimulation; Austerity; Safety net; Household income; Per capita; Quarter (Canadian coin); Unemployment; Recession; Wages and salaries; Labour economics; Demographic economics; Economic growth; Macroeconomics; Geography","authors":[{"name":"Mike Brewer","is_ca":false},{"name":"Iva Tasseva","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1811153194010067,"gpt":0.4698157759993666,"spread":0.28870045659836,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01294882,0.0001490499,0.0004049659,0.0001014619,0.001238801,0.0000168664,0.0004915799,0.00007811969,0.0003333529],"category_scores_gemma":[0.004165188,0.0000792403,0.000148243,0.0001662618,0.00009000336,0.00008225776,0.0004262867,0.0007102494,0.0000968751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008983341,"about_ca_system_score_gemma":0.002260092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001926275,"about_ca_topic_score_gemma":0.00160144,"domain_scores_codex":[0.9937661,0.004544454,0.00103531,0.0001244446,0.0001538609,0.0003758904],"domain_scores_gemma":[0.9946904,0.003661667,0.0007564641,0.0005475854,0.0001307525,0.0002130882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01742057,0.0002416535,0.5809174,0.0004074212,0.001103095,0.00008752656,0.1135734,0.003345058,0.003903167,0.0340775,0.243452,0.001471224],"study_design_scores_gemma":[0.00394282,0.0006154439,0.4947952,0.0002240782,0.0001632148,0.0001023739,0.02060511,0.00002130878,0.0005607813,0.03515907,0.4433268,0.0004837744],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7777237,0.000149532,0.0002815214,0.2199528,0.0005048646,0.0004367328,0.00004910716,0.00001619537,0.0008855411],"genre_scores_gemma":[0.9731019,0.0001052521,0.00003013036,0.02380026,0.001144557,0.00002739573,8.816274e-7,0.00001800782,0.001771613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1998748,"threshold_uncertainty_score":0.9527981,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4220699200","doi":"10.1007/s10888-021-09522-6","title":"The heterogeneous effects of COVID-19 on labor market flows: evidence from administrative data","year":2022,"lang":"en","type":"article","venue":"The Journal of Economic Inequality","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Economic and Social Research Council; Banca d'Italia; University of Cambridge","keywords":"Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Recession; Labour economics; Government (linguistics); Demographic economics; Economics; Economic interventionism; Pandemic; Sample (material); Business; Medicine; Political science; Politics; Geography; Internal medicine","authors":[{"name":"Alessandra Casarico","is_ca":false},{"name":"Salvatore Lattanzio","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1819585908076726,"gpt":0.362631936101616,"spread":0.1806733452939434,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0107138,0.0001973374,0.0006281705,0.0001138806,0.0004176652,0.00006000721,0.002327475,0.00005512662,0.0009807092],"category_scores_gemma":[0.006564226,0.0001485059,0.0001619097,0.0001258114,0.0001451906,0.000310345,0.0006330917,0.0005299,0.00003861899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020528,"about_ca_system_score_gemma":0.0006839755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001458425,"about_ca_topic_score_gemma":0.0002816216,"domain_scores_codex":[0.9968722,0.0008294337,0.001577432,0.0003125779,0.0001120069,0.0002963562],"domain_scores_gemma":[0.9842106,0.01140189,0.002678055,0.00149495,0.00003498772,0.0001794926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.04040199,0.003045874,0.2653335,0.001622488,0.009735678,0.0005092709,0.0709115,0.2377232,0.00220786,0.07035647,0.2873017,0.01085039],"study_design_scores_gemma":[0.01405856,0.01066636,0.1052045,0.000537165,0.0007104002,0.0005639594,0.006753345,0.09078468,0.005522627,0.3372198,0.4251371,0.002841482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982891,0.005235466,0.0006459433,0.007002883,0.001386399,0.0003584179,0.00219529,0.000008976564,0.0002756036],"genre_scores_gemma":[0.9963339,0.001051563,0.00006822802,0.002127975,0.0002559536,0.000009083864,0.00001032483,0.00002016659,0.0001228316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2668633,"threshold_uncertainty_score":0.9999325,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2077127543","doi":"10.1007/s10888-007-9055-y","title":"Poverty, income distribution and CGE micro-simulation modeling: Does the functional form of distribution matter?","year":2007,"lang":"en","type":"article","venue":"The Journal of Economic Inequality","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval; Université de Sherbrooke","funders":"","keywords":"Computable general equilibrium; Econometrics; Context (archaeology); Poverty; Pareto principle; Distribution (mathematics); Parametric statistics; Economics; Income distribution; Estimation; Empirical research; Computer science; Statistics; Mathematics; Inequality; Macroeconomics; Economic growth","authors":[{"name":"Dorothée Boccanfuso","is_ca":true},{"name":"Bernard Decaluwé","is_ca":true},{"name":"Luc Savard","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04196268298256322,"gpt":0.3151882717711434,"spread":0.2732255887885802,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01121788,0.0001177512,0.0002574522,0.00003265075,0.00055736,0.00004882319,0.0002654441,0.0001070112,0.0001237124],"category_scores_gemma":[0.0002497396,0.00006495461,0.0001312225,0.00008427563,0.0002551559,0.0005034654,0.00006873162,0.0002395467,0.000006583599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005230689,"about_ca_system_score_gemma":0.0001464773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001758032,"about_ca_topic_score_gemma":0.0009033246,"domain_scores_codex":[0.9979542,0.0004272922,0.0009954215,0.00010188,0.000270304,0.000250929],"domain_scores_gemma":[0.9978861,0.000717918,0.0008672283,0.0001929748,0.0002590368,0.0000768044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003847548,0.0004912448,0.7291567,0.0001946738,0.0004072999,0.000002094036,0.02700333,0.0362784,0.001287317,0.1922858,0.003493471,0.005552118],"study_design_scores_gemma":[0.001854553,0.0002277525,0.7844462,0.00009089337,0.0002094155,0.00002560781,0.009700368,0.03231768,0.001490898,0.163041,0.006135408,0.0004602372],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9303995,0.0000671232,0.06630453,0.001768249,0.0006525922,0.0001452127,0.0001834458,0.000006459438,0.000472879],"genre_scores_gemma":[0.9989848,0.00008332525,0.00001918606,0.0002230284,0.0006005584,6.263397e-7,0.00003721641,0.000005482827,0.00004583015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06858525,"threshold_uncertainty_score":0.4286819,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2092048395","doi":"10.1007/s10888-011-9184-1","title":"Income inequality games","year":2011,"lang":"en","type":"article","venue":"The Journal of Economic Inequality","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Shapley value; Inequality; Mathematics; Multiplicative function; Consistency (knowledge bases); Poverty; Decomposition; Value (mathematics); Mathematical economics; Index (typography); Econometrics; Economics; Statistics; Game theory; Discrete mathematics; Computer science","authors":[{"name":"Arthur Charpentier","is_ca":false},{"name":"Stéphane Mussard","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0976959081041083,"gpt":0.3349663951120597,"spread":0.2372704870079514,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02017146,0.0002021503,0.0005599512,0.0001089334,0.0005327351,0.00005810271,0.001176167,0.0001604535,0.002026305],"category_scores_gemma":[0.0008245282,0.0001410091,0.0002901457,0.0001407569,0.0005723067,0.0007719668,0.0001369114,0.0004824775,0.0001414573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004907003,"about_ca_system_score_gemma":0.0005860226,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01126373,"about_ca_topic_score_gemma":0.002737143,"domain_scores_codex":[0.99497,0.002523052,0.001482374,0.0001632255,0.0003739527,0.0004874124],"domain_scores_gemma":[0.9968688,0.00068281,0.001402499,0.0005455939,0.0002619247,0.0002383514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001054414,0.0004987401,0.3813807,0.00008188924,0.0003506003,0.00001573088,0.1496798,0.00003857136,0.0001198322,0.4576281,0.004238652,0.004912998],"study_design_scores_gemma":[0.002313451,0.000692079,0.5946065,0.000114492,0.0002636355,0.00004976811,0.03122683,0.00008755127,0.002033425,0.3241497,0.04341236,0.001050195],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9334231,0.0001690339,0.0004999339,0.0008244215,0.001713945,0.0001618431,0.00002233421,0.00003081062,0.06315461],"genre_scores_gemma":[0.9972999,0.0002855243,0.0002596605,0.0005788838,0.001176412,0.000001987124,0.000001002286,0.00001540863,0.0003812202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2132259,"threshold_uncertainty_score":0.998886,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3200808924","doi":"10.1007/s10888-022-09528-8","title":"Inheritances and wealth inequality: a machine learning approach","year":2022,"lang":"en","type":"article","venue":"The Journal of Economic Inequality","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Horizon 2020; Ministerio de Economía y Competitividad; Ministerio de Ciencia, Innovación y Universidades; Comunidad de Madrid","keywords":"Inequality; Wealth distribution; Gini coefficient; Asset (computer security); Distribution (mathematics); Distribution of wealth; Economics; Index (typography); Econometrics; Economic inequality; Mathematics; Computer science","authors":[{"name":"Pedro Salas-Rojo","is_ca":false},{"name":"Juan Gabriel Rodríguez","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03440758846671883,"gpt":0.2509037976089517,"spread":0.2164962091422329,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007290307,0.0001645708,0.0004419822,0.0002125228,0.000641981,0.0001279107,0.0004118319,0.00002683138,0.0005740022],"category_scores_gemma":[0.0001686239,0.0001243607,0.0001266743,0.0002402464,0.00006933207,0.000739161,0.0004285134,0.000517288,0.00001351021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001351023,"about_ca_system_score_gemma":0.00005537449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001676612,"about_ca_topic_score_gemma":0.0001568835,"domain_scores_codex":[0.99818,0.0002791999,0.0008897753,0.0001655854,0.0002592497,0.0002261947],"domain_scores_gemma":[0.9980245,0.00013713,0.001516175,0.0002129882,0.00009053483,0.00001864891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005856845,0.0001451239,0.9666988,0.0001703679,0.00007478304,0.000006483996,0.0009850874,0.00807829,0.0001237455,0.02033659,0.001205496,0.001589569],"study_design_scores_gemma":[0.00579141,0.0006292567,0.4331318,0.000118094,0.001258647,0.0002114798,0.0108959,0.2566082,0.00005530709,0.05156941,0.2379458,0.001784677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964627,0.0007286919,0.0001084663,0.000681781,0.0002742256,0.0001206544,0.000006546922,0.00001832167,0.001598622],"genre_scores_gemma":[0.9977133,0.00008231644,0.0001496515,0.001129673,0.0007572673,0.000004428388,0.00001639286,0.00001822604,0.0001287493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.533567,"threshold_uncertainty_score":0.6284921,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2078728676","doi":"10.1007/s10888-011-9192-1","title":"Empirical issues in lifetime poverty measurement","year":2011,"lang":"en","type":"article","venue":"The Journal of Economic Inequality","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University; University of Guelph","funders":"","keywords":"Poverty; Measuring poverty; Set (abstract data type); Panel data; Public economics; Economics; Development economics; Econometrics; Computer science; Economic growth","authors":[{"name":"Michael Hoy","is_ca":true},{"name":"Brennan Scott Thompson","is_ca":true},{"name":"Buhong Zheng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1800457382414856,"gpt":0.3702689944324878,"spread":0.1902232561910022,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02105765,0.0001297651,0.0003960335,0.00008328608,0.0002095758,0.00003168708,0.000658143,0.0001078488,0.00124863],"category_scores_gemma":[0.0006956959,0.00008788675,0.0001566046,0.00009341126,0.0002076604,0.000415364,0.00006545642,0.0003379504,0.00008884882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007816191,"about_ca_system_score_gemma":0.0005192877,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01141731,"about_ca_topic_score_gemma":0.006679061,"domain_scores_codex":[0.9962344,0.001843141,0.001028969,0.0001170773,0.0004291233,0.0003473541],"domain_scores_gemma":[0.9985823,0.0002173543,0.000596873,0.0002752731,0.0001901552,0.0001380496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0015188,0.00111276,0.6376196,0.00005020933,0.0002549693,0.00002161838,0.2420271,0.00007326012,0.000172548,0.05364378,0.06065405,0.002851343],"study_design_scores_gemma":[0.002506516,0.000665277,0.6987582,0.0001404585,0.0001283739,0.00002082276,0.02311374,0.0001357817,0.001629697,0.1285162,0.1436042,0.0007807044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9320495,0.0004042852,0.0001289853,0.005585652,0.00110543,0.0001667224,0.000006795759,0.0000145846,0.06053805],"genre_scores_gemma":[0.9972136,0.0002992128,0.000133449,0.001437164,0.0007124978,0.000001196019,2.614859e-7,0.000008310801,0.0001943074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2189133,"threshold_uncertainty_score":0.9996644,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2287492956","doi":"10.1007/s10888-016-9337-3","title":"Fundamental accrued capital gains and the measurement of top incomes: an application to Chile","year":2016,"lang":"en","type":"article","venue":"The Journal of Economic Inequality","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Capital (architecture); Taxable income; Income shares; Asset (computer security); Inequality; Econometrics; Monetary economics; Labour economics; Economic inequality; Mathematics; Geography","authors":[{"name":"Ramón López","is_ca":false},{"name":"Eugenio Figueroa B.","is_ca":false},{"name":"Pablo Gutiérrez Cubillos","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0689723166050432,"gpt":0.2734739545830429,"spread":0.2045016379779996,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005486062,0.0001268169,0.0004780575,0.0001047151,0.00009914278,0.00002688504,0.0004405335,0.00005075568,0.00006730873],"category_scores_gemma":[0.0001196669,0.0000731039,0.0001198262,0.0000403149,0.0001848354,0.0003229966,0.00009779175,0.0001067082,0.00007059574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000295522,"about_ca_system_score_gemma":0.00003841408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005159447,"about_ca_topic_score_gemma":0.0002027132,"domain_scores_codex":[0.9983539,0.00009012353,0.001167715,0.0001594275,0.0000396047,0.0001892237],"domain_scores_gemma":[0.9982366,0.0001796983,0.001055586,0.0003854935,0.00003542704,0.0001072202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00206013,0.0002717233,0.1308221,0.00005793652,0.0004791564,4.39239e-7,0.01187325,0.0004464654,0.001529879,0.8433104,0.0008663903,0.00828208],"study_design_scores_gemma":[0.007351152,0.0006860608,0.3136747,0.00005561356,0.00006073425,0.00003970559,0.001766593,0.001945966,0.002564182,0.6670583,0.004298896,0.0004981175],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900836,0.0001978271,0.002180688,0.004306814,0.0002209639,0.0002502994,0.0001143859,0.000004226838,0.002641197],"genre_scores_gemma":[0.9990615,0.00005895421,0.00005417599,0.0004960585,0.0002897989,0.000008062314,8.387439e-7,0.00001171303,0.00001889838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1828525,"threshold_uncertainty_score":0.2981091,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2070411075","doi":"10.1007/s10888-013-9259-2","title":"The possibilities for global inequality and poverty reduction using revenues from global carbon pricing","year":2013,"lang":"en","type":"article","venue":"The Journal of Economic Inequality","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Centre for International Governance Innovation; Western University","funders":"","keywords":"Economics; Carbon tax; Revenue; Gini coefficient; Decile; Per capita; Gross domestic product; Tax revenue; Poverty; Yield (engineering); Economic inequality; Population; Inequality; Greenhouse gas; Public economics; Macroeconomics; Economic growth; Mathematics","authors":[{"name":"James Davies","is_ca":true},{"name":"Xiaojun Shi","is_ca":false},{"name":"John Whalley","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1266513517476222,"gpt":0.3112370859469457,"spread":0.1845857341993235,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003001641,0.0001731932,0.0004973553,0.00002881978,0.0003407775,0.0001834411,0.0003161245,0.00009982687,0.00003546014],"category_scores_gemma":[0.0002806003,0.0001309533,0.0001537037,0.00005223921,0.0001600603,0.0004307807,0.0001061092,0.0001427809,0.00001209085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009174127,"about_ca_system_score_gemma":0.00005797976,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01549099,"about_ca_topic_score_gemma":0.0004858546,"domain_scores_codex":[0.997981,0.0001043576,0.001368014,0.0002038455,0.00002667627,0.0003161636],"domain_scores_gemma":[0.9975886,0.000353302,0.0015548,0.0003555463,0.00006188508,0.00008591353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001460998,0.0002203418,0.6522865,0.0002709165,0.001199422,8.964024e-7,0.01101265,0.002264937,0.0004652915,0.3195938,0.004089957,0.007134251],"study_design_scores_gemma":[0.0009201863,0.0001192253,0.0655993,0.00003833356,0.0000488471,0.00004222173,0.002901904,0.01163512,0.0001092543,0.917286,0.001006088,0.0002934707],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921983,0.00216063,0.0004026883,0.002356562,0.001170851,0.0002935861,0.0008308057,0.000007707532,0.0005788915],"genre_scores_gemma":[0.9978667,0.0005719095,0.0003811067,0.0002585671,0.0008703771,0.000006643254,0.000006548804,0.00001168253,0.00002640424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5976923,"threshold_uncertainty_score":0.991065,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4366816651","doi":"10.1007/s10888-022-09552-8","title":"Distributional impacts of the Covid-19 pandemic and the CARES Act","year":2023,"lang":"en","type":"article","venue":"The Journal of Economic Inequality","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Medicine; Outbreak; Infectious disease (medical specialty)","authors":[{"name":"Guido Matías Cortés","is_ca":true},{"name":"Eliza Forsythe","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1228716602964243,"gpt":0.3349216253647392,"spread":0.2120499650683149,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01160436,0.0001543282,0.000555974,0.000115955,0.0002603716,0.00004764289,0.0007250242,0.00008886402,0.000164865],"category_scores_gemma":[0.003924676,0.00008409121,0.0002582587,0.0002097893,0.0005233095,0.000206696,0.0002391298,0.0003875208,0.00003867504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005938584,"about_ca_system_score_gemma":0.0004524188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001451467,"about_ca_topic_score_gemma":0.000232386,"domain_scores_codex":[0.9978999,0.0003135054,0.001280346,0.0001442443,0.0000728124,0.0002892037],"domain_scores_gemma":[0.9948712,0.002607567,0.001846762,0.0004848785,0.00004368598,0.0001459163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006310878,0.00002781089,0.8818873,0.00008575174,0.0002671288,0.000001629398,0.004433976,0.003783825,0.0001048797,0.09774175,0.0108621,0.0001728068],"study_design_scores_gemma":[0.006718711,0.0001413936,0.6020921,0.00004845669,0.000115492,0.0003010747,0.001101435,0.003114677,0.0002274196,0.3523963,0.03335503,0.0003878491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824294,0.001051042,0.0002510987,0.01460646,0.0006747447,0.0002117515,0.0004286254,0.00001209617,0.0003347269],"genre_scores_gemma":[0.9969334,0.0008352348,0.000004191321,0.001900089,0.0002210177,0.000002639697,0.0000044997,0.0000118796,0.00008703998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2797951,"threshold_uncertainty_score":0.4698487,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2007678971","doi":"10.1007/s10888-013-9264-5","title":"Poverty status probability: a new approach to measuring poverty and the progress of the poor","year":2013,"lang":"en","type":"article","venue":"The Journal of Economic Inequality","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Toronto","funders":"","keywords":"Poverty; Economics; Context (archaeology); Homogeneous; Quarter (Canadian coin); Public finance; Population; Development economics; Frontier; Basic needs; Econometrics; Public economics; Economic growth; Political science; Sociology; Geography; Macroeconomics; Mathematics; Demography; Law","authors":[{"name":"Gordon Anderson","is_ca":true},{"name":"Maria Grazia Pittau","is_ca":false},{"name":"Roberto Zelli","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06892168346632219,"gpt":0.2951504342258048,"spread":0.2262287507594826,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01265827,0.0001753346,0.0005208516,0.00004005214,0.0005266202,0.0001377296,0.001014937,0.00009238105,0.0001601954],"category_scores_gemma":[0.001173939,0.0000774712,0.0002332332,0.0001588494,0.0007275124,0.0004809266,0.0002628539,0.0003816487,0.00001282579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003789923,"about_ca_system_score_gemma":0.000755957,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01825632,"about_ca_topic_score_gemma":0.001240192,"domain_scores_codex":[0.9955732,0.002313787,0.001034178,0.0001796479,0.0004569856,0.000442229],"domain_scores_gemma":[0.9972904,0.0006739331,0.0009988641,0.0005484447,0.0002571367,0.000231275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003195683,0.0009393287,0.2169465,0.0003787912,0.0008686244,5.631035e-7,0.2215338,0.0009082683,0.0002636074,0.4639918,0.06596384,0.02500924],"study_design_scores_gemma":[0.009822065,0.0004669528,0.4171425,0.0002838893,0.0005743405,0.00005028706,0.03963723,0.002085928,0.001259306,0.4562795,0.07121837,0.001179595],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554318,0.0003159372,0.0002382838,0.02028535,0.0006184028,0.001305113,0.00001896713,0.00001173196,0.02177442],"genre_scores_gemma":[0.9959706,0.00008662346,0.0003484994,0.00260742,0.0004543916,0.0000104731,3.338041e-7,0.00001120351,0.0005104364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.200196,"threshold_uncertainty_score":0.9882812,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2804546144","doi":"10.1007/s10888-021-09481-y","title":"Asset bubbles in explaining top income shares","year":2021,"lang":"en","type":"article","venue":"The Journal of Economic Inequality","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Mount Allison University","funders":"Strategic Research Council; Academy of Finland","keywords":"Income shares; Economics; Monetary economics; Asset (computer security); Stock market; Stock (firearms); Economic inequality; Labour economics; Financial economics; Econometrics; Inequality","authors":[{"name":"Saikat Sarkar","is_ca":true},{"name":"Matti Tuomala","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1370113702638619,"gpt":0.2920477998260988,"spread":0.1550364295622369,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004474513,0.0001613043,0.0006783732,0.000213038,0.00008431377,0.00007797214,0.0004366254,0.00009228461,0.001961403],"category_scores_gemma":[0.0003227392,0.0001494365,0.0001860271,0.00009236292,0.00005257999,0.0005771362,0.0001083645,0.0003624271,0.00028263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003274683,"about_ca_system_score_gemma":0.00008535633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008127295,"about_ca_topic_score_gemma":0.0003163959,"domain_scores_codex":[0.9975796,0.0001411826,0.001726806,0.0001878981,0.00002501692,0.0003394823],"domain_scores_gemma":[0.9979762,0.0003808094,0.001112618,0.0004125405,0.00001748247,0.0001002846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002533152,0.0001632796,0.8626642,0.00007357472,0.0003180075,0.00006272384,0.005080928,0.03565065,0.00007991301,0.0910873,0.003478484,0.001087634],"study_design_scores_gemma":[0.004189284,0.0003162082,0.6644209,0.0001801777,0.00004153192,0.000596188,0.002442307,0.01841002,0.0018931,0.2752819,0.03120101,0.001027374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890614,0.001910624,0.0002276437,0.001755762,0.0006518313,0.00005867384,0.0001463428,0.00000582383,0.006181878],"genre_scores_gemma":[0.997992,0.0005102596,0.0002631161,0.000597243,0.0003950698,0.000001739176,0.000007617577,0.0000163095,0.0002166632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1982433,"threshold_uncertainty_score":0.998951,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391821289","doi":"10.1007/s10888-023-09600-x","title":"Identification-robust methods for comparing inequality with an application to regional disparities","year":2024,"lang":"en","type":"article","venue":"The Journal of Economic Inequality","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University; MacEwan University; McGill University; Center for Interuniversity Research and Analysis on Organizations","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Econometrics; Inference; Statistical inference; Mathematics; Sampling distribution; Context (archaeology); Inequality; Null hypothesis; Statistical hypothesis testing; Statistics; Generalized entropy index; Identification (biology); Sample (material); Sample size determination; Computer science; Artificial intelligence; Geography","authors":[{"name":"Jean‐Marie Dufour","is_ca":true},{"name":"Emmanuel Flachaire","is_ca":false},{"name":"Lynda Khalaf","is_ca":true},{"name":"Abdallah Zalghout","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1498374738602279,"gpt":0.4284993939287144,"spread":0.2786619200684866,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02105593,0.0001486977,0.0003851469,0.0001107015,0.0005753345,0.0002724742,0.0006558094,0.00008149077,0.00003980655],"category_scores_gemma":[0.0003090061,0.0001050607,0.0001336539,0.0001679941,0.0002398485,0.0008230924,0.00004412591,0.0002407489,0.00001451988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005057941,"about_ca_system_score_gemma":0.0004531221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003421292,"about_ca_topic_score_gemma":0.003621028,"domain_scores_codex":[0.9968446,0.001394432,0.001014192,0.0002255075,0.0002293496,0.0002919091],"domain_scores_gemma":[0.9972208,0.001390359,0.0005181853,0.000391039,0.0003008947,0.0001786793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000980544,0.0001859348,0.01032422,0.000234968,0.0002321287,6.222061e-7,0.03125644,0.005790109,0.0006446369,0.9324908,0.003759748,0.01409987],"study_design_scores_gemma":[0.002389465,0.001459997,0.09746204,0.0004588086,0.0008284377,0.000065748,0.044534,0.08364102,0.002963957,0.5356854,0.2285233,0.001987871],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4751254,0.0001935813,0.5165877,0.006022634,0.0007080324,0.0004620854,0.00003138049,0.00004271447,0.0008264904],"genre_scores_gemma":[0.9905276,0.00005750851,0.007434346,0.0005283153,0.00121059,0.00003276666,0.00001109528,0.00001791729,0.0001798126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5154023,"threshold_uncertainty_score":0.7297606,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2964714837","doi":"10.1007/s10888-019-09428-4","title":"Losing ground in the income hierarchy: relative deprivation revisited","year":2019,"lang":"en","type":"article","venue":"The Journal of Economic Inequality","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"Fonds National de la Recherche Luxembourg","keywords":"Planner; Social planner; Hierarchy; Relative deprivation; Value (mathematics); Generalization; Economics; Income distribution; Relative value; Interpretation (philosophy); Distribution (mathematics); Public finance; Yesterday; Econometrics; Public economics; Mathematical economics; Microeconomics; Mathematics; Statistics; Computer science; Sociology; Inequality; Social science; Artificial intelligence","authors":[{"name":"Walter Bossert","is_ca":true},{"name":"Conchita D’Ambrosio","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05384651878439721,"gpt":0.3353593643608707,"spread":0.2815128455764734,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02123358,0.0001081545,0.0003077567,0.00009941875,0.0003143979,0.00009105384,0.0007013747,0.00009192034,0.0002480285],"category_scores_gemma":[0.0006157031,0.00006525552,0.0001210508,0.0002023639,0.0001738128,0.0009571894,0.00005683071,0.0005212689,0.00007161068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006364661,"about_ca_system_score_gemma":0.0002370709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00275101,"about_ca_topic_score_gemma":0.0008273206,"domain_scores_codex":[0.9953434,0.003114387,0.0008914472,0.0001081283,0.0002883962,0.0002541914],"domain_scores_gemma":[0.9969843,0.001663792,0.0008768327,0.0003203521,0.000108604,0.00004611814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003588655,0.0001065253,0.3228372,0.00004454387,0.00008051599,0.00000374767,0.09845461,0.0003175347,0.0001648722,0.5756687,0.0004247999,0.001538123],"study_design_scores_gemma":[0.001333022,0.0002052619,0.7172767,0.0001647322,0.00005550039,0.00001623525,0.017669,0.0003970872,0.00007520343,0.2525408,0.009966896,0.0002996283],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971367,0.0001249715,0.0002349701,0.003504243,0.0004352119,0.0002632821,0.000005120579,0.000006357939,0.02405886],"genre_scores_gemma":[0.9982141,0.0001569423,0.00006225183,0.0008859484,0.0005210006,9.894702e-7,0.00000174529,0.000006806991,0.000150196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3944395,"threshold_uncertainty_score":0.7359179,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3125059504","doi":"10.1007/s10888-016-9346-2","title":"The dynamics of capital accumulation in the US: simulations after piketty","year":2017,"lang":"en","type":"article","venue":"The Journal of Economic Inequality","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Université du Québec à Montréal; Northwestern University","keywords":"Economics; Endowment; Consumption (sociology); Capital (architecture); Distribution (mathematics); Convergence (economics); Microeconomics; Steady state (chemistry); Labour economics; Marginal propensity to consume; Capital accumulation; Marginal utility; Wealth distribution; Return on capital; Rate of return; Monetary economics; Capital formation; Financial capital; Macroeconomics; Finance; Inequality; Mathematics","authors":[{"name":"Philippe De Donder","is_ca":false},{"name":"John E. Roemer","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07414853000997756,"gpt":0.3088808994711921,"spread":0.2347323694612145,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005453859,0.0001163385,0.0003528713,0.00006482218,0.0003808114,0.0001571191,0.001032844,0.00006757694,0.0001100841],"category_scores_gemma":[0.0002669903,0.00007171609,0.0001713659,0.00002425492,0.0002321466,0.0005260115,0.0001036989,0.0002525584,0.00002104454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000213057,"about_ca_system_score_gemma":0.00004770771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008713276,"about_ca_topic_score_gemma":0.003122617,"domain_scores_codex":[0.9982074,0.0001087711,0.001350558,0.0001108201,0.00002974528,0.0001927263],"domain_scores_gemma":[0.9961727,0.0006213472,0.002287191,0.0008473241,0.0000423293,0.00002914909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002292041,0.00005185672,0.1850906,0.00001061607,0.00008216176,8.829876e-7,0.003177831,0.02922206,0.000002482945,0.7814955,0.00008246274,0.0005543669],"study_design_scores_gemma":[0.0007748441,0.00007374818,0.4196298,0.00001583973,0.00002149475,0.00001095079,0.0008913564,0.05882316,0.00001629586,0.518305,0.001282657,0.0001548416],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919097,0.0003914284,0.001099992,0.003274507,0.00061452,0.0001612039,0.0001914569,0.000001744766,0.002355477],"genre_scores_gemma":[0.999322,0.0001899155,0.00003909076,0.0001243499,0.0002117068,0.000003040947,0.000003044683,0.0000108275,0.00009601894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2631905,"threshold_uncertainty_score":0.2928932,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3003961530","doi":"10.1007/s10888-020-09460-9","title":"Visible Minorities and Job Mobility: Evidence from a Workplace Panel Survey","year":2019,"lang":"en","type":"preprint","venue":"The Journal of Economic Inequality","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Wage; Demographic economics; Promotion (chess); Immigration; Labour economics; Panel data; Business; Economics; Political science","authors":[{"name":"Mohsen Javdani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1668362317514256,"gpt":0.3562527710413628,"spread":0.1894165392899373,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02100357,0.0002173593,0.0007155256,0.00007476474,0.0002962293,0.0002656244,0.0008911502,0.0002882946,0.0005492659],"category_scores_gemma":[0.001118728,0.0001761845,0.0001703569,0.000042852,0.0003696814,0.000534302,0.0003683787,0.000736639,0.00004176511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004613044,"about_ca_system_score_gemma":0.001210026,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1762939,"about_ca_topic_score_gemma":0.157121,"domain_scores_codex":[0.9953253,0.002830276,0.001090197,0.0002793255,0.0001953804,0.0002795545],"domain_scores_gemma":[0.9932252,0.004447753,0.001413658,0.0005555846,0.0002161854,0.0001416721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002882938,0.00003967253,0.92015,0.0001072194,0.0001960309,7.67516e-7,0.07276808,0.00211419,0.000007002016,0.0003758489,0.003513397,0.0004394863],"study_design_scores_gemma":[0.0003766788,0.00008090564,0.94327,0.0004666415,0.0001610117,0.000003362112,0.01546506,0.0005794845,0.00004744276,0.03799246,0.001105401,0.000451547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912709,0.003929858,0.0002944167,0.001227176,0.00180031,0.000329488,0.0001415608,0.00001079914,0.0009954708],"genre_scores_gemma":[0.9909673,0.006608673,0.0001044382,0.0001358607,0.001138166,0.000003743292,0.000006773136,0.0000115336,0.001023546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05730302,"threshold_uncertainty_score":0.8582594,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3201485894","doi":"10.1007/s10888-023-09583-9","title":"Annualizing labor market, inequality, and poverty indicators","year":2023,"lang":"en","type":"article","venue":"The Journal of Economic Inequality","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Poverty; Economics; Gini coefficient; Inequality; Per capita income; Per capita; Quarter (Canadian coin); Demographic economics; Economic inequality; Matching (statistics); Household income; Econometrics; Poverty threshold; Econometric model; Income distribution; Labour economics; Geography; Statistics; Economic growth; Demography; Population; Mathematics","authors":[{"name":"Eduardo Lora","is_ca":false},{"name":"Miguel Benítez","is_ca":false},{"name":"Diego Gutiérrez","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0430971522584826,"gpt":0.3348413110722422,"spread":0.2917441588137596,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02413071,0.0001996838,0.0005229298,0.0002723989,0.000739396,0.0001255995,0.0007158734,0.0001665404,0.000545804],"category_scores_gemma":[0.001291397,0.0001449956,0.0001633657,0.0004617403,0.000426027,0.000700065,0.0002306835,0.0004373381,0.00006154918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003413068,"about_ca_system_score_gemma":0.0004776512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002829846,"about_ca_topic_score_gemma":0.001163762,"domain_scores_codex":[0.9952843,0.002357245,0.001194954,0.0001948021,0.0004319268,0.0005367336],"domain_scores_gemma":[0.9967088,0.001455395,0.001062607,0.0003644763,0.0001489708,0.0002598186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007288901,0.0001956762,0.5681173,0.0001874759,0.0004177728,0.00002781727,0.090248,0.00008234697,0.0001767844,0.1709884,0.1591137,0.009715876],"study_design_scores_gemma":[0.002052891,0.0003096844,0.6194541,0.0001232454,0.0001836683,0.00003262368,0.04558843,0.000351165,0.0003155835,0.07497843,0.2557567,0.000853486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717673,0.0002353015,0.00004922757,0.00718446,0.001228758,0.0001783347,0.00009330015,0.00005875766,0.01920454],"genre_scores_gemma":[0.9946203,0.001348861,0.00004699449,0.001939834,0.001043556,0.000002244391,0.000003255841,0.00001969885,0.0009752218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09664305,"threshold_uncertainty_score":0.8363272,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4396765442","doi":"10.1007/s10888-023-09619-0","title":"Uncovering Gatsby Curves","year":2024,"lang":"en","type":"article","venue":"The Journal of Economic Inequality","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal; École Nationale d'Administration Publique","funders":"","keywords":"Psychology","authors":[{"name":"Pier-André Bouchard St-Amant","is_ca":true},{"name":"Nicolas Marceau","is_ca":true},{"name":"Jean‐Denis Garon","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08876676307468323,"gpt":0.3929703051656118,"spread":0.3042035420909286,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005020279,0.0000577823,0.0001271434,0.00003803543,0.0002661668,0.00005893579,0.0002158432,0.00002248489,0.0005844749],"category_scores_gemma":[0.000270915,0.00003781217,0.00009933974,0.00005854077,0.0001172703,0.0002965207,0.00002659853,0.000136801,0.00007682435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002400825,"about_ca_system_score_gemma":0.0004763451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001184299,"about_ca_topic_score_gemma":0.0008206005,"domain_scores_codex":[0.99894,0.0003065426,0.0004193314,0.00005427447,0.0001574664,0.0001224127],"domain_scores_gemma":[0.9990216,0.0006200384,0.0001350239,0.000070299,0.0001094931,0.00004351076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005376898,0.00005365989,0.00205916,0.0001775812,0.0003431127,0.000003817412,0.03583472,0.001640535,0.0001753402,0.6821342,0.2757961,0.001728036],"study_design_scores_gemma":[0.000171993,0.0001076997,0.005189689,0.0006758573,0.0001501408,0.00003823921,0.01650567,0.0002231297,0.0006573474,0.2416088,0.7343444,0.0003270367],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8988982,0.008472852,0.000361283,0.06390195,0.005085255,0.00008386093,0.0000196158,0.00002106181,0.02315597],"genre_scores_gemma":[0.9927917,0.002203791,0.00004790445,0.0009296046,0.002271672,0.000001419664,0.000001250417,0.000004253855,0.001748382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4585484,"threshold_uncertainty_score":0.6399591,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4315489413","doi":"10.1007/s10888-022-09555-5","title":"Intergenerational earnings persistence and the provision of public goods: evidence from chile’s constitutional process","year":2023,"lang":"en","type":"article","venue":"The Journal of Economic Inequality","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Public good; Earnings; Economics; Public finance; Constitution; Persistence (discontinuity); Inequality; Redistribution (election); Public economics; Private good; Labour economics; Microeconomics; Macroeconomics; Political science; Finance","authors":[{"name":"Javier Cortés Orihuela","is_ca":true},{"name":"Juan Díaz","is_ca":false},{"name":"Pablo Gutiérrez Cubillos","is_ca":false},{"name":"Pablo Troncoso","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1235490392089838,"gpt":0.3497506942424286,"spread":0.2262016550334447,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01598065,0.00008954963,0.000267561,0.0000578413,0.0006443077,0.00007725107,0.0005215022,0.00005819586,0.0002356771],"category_scores_gemma":[0.003158009,0.00005139957,0.000112717,0.0001318864,0.00205816,0.0006923031,0.00009098054,0.0002703551,0.00001183073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001287521,"about_ca_system_score_gemma":0.0008422859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00153092,"about_ca_topic_score_gemma":0.0006372113,"domain_scores_codex":[0.9969863,0.001648917,0.0007190776,0.0001164716,0.000350417,0.000178761],"domain_scores_gemma":[0.996584,0.002060303,0.0008649579,0.0001509165,0.0002657015,0.00007409694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001076306,0.0001207398,0.2660034,0.00009310387,0.0003129711,0.000002047269,0.140661,0.001676965,0.0006136398,0.5840262,0.003123678,0.00229],"study_design_scores_gemma":[0.006840243,0.000656081,0.5485169,0.001077555,0.00042969,0.00005926621,0.1353788,0.0173178,0.00203335,0.2761787,0.01046996,0.001041743],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986325,0.0002945582,0.0005859862,0.01061849,0.0005230412,0.0001555161,0.00003252891,0.00001007433,0.001454754],"genre_scores_gemma":[0.9985936,0.0005580137,0.00004364869,0.00019107,0.0005248432,0.000002945075,0.000003478727,0.000003107137,0.00007935398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3078475,"threshold_uncertainty_score":0.7583377,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2066607962","doi":"10.1007/s10888-013-9256-5","title":"The implications of mean scaling for the calculation of aggregate consumer elasticities","year":2013,"lang":"en","type":"article","venue":"The Journal of Economic Inequality","topic":"Global Health Care Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Economics; Econometrics; Aggregate (composite); Aggregate data; Inequality; Estimation; Aggregate income; Income elasticity of demand; Aggregate behavior; Elasticity (physics); Income distribution; Scaling; Statistics; Aggregate demand; Mathematics; Macroeconomics","authors":[{"name":"Frank T. Denton","is_ca":true},{"name":"Dean C. Mountain","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1093248794180539,"gpt":0.4456101943305519,"spread":0.336285314912498,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005165676,0.00008654723,0.0002977804,0.00003278878,0.000706752,0.000007694912,0.0004028294,0.00006923798,0.00008764536],"category_scores_gemma":[0.0006804203,0.00004061518,0.0001177946,0.00004773047,0.0002387273,0.000115783,0.00006191089,0.0002759542,0.00002724978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000176142,"about_ca_system_score_gemma":0.0003382085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00204447,"about_ca_topic_score_gemma":0.0006737616,"domain_scores_codex":[0.9973215,0.0007128409,0.00155812,0.0000592479,0.0001017636,0.0002465272],"domain_scores_gemma":[0.9871414,0.009379291,0.002306309,0.0003747181,0.0007416115,0.00005664528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002866345,0.0002830747,0.1863779,0.002609478,0.00198564,2.724198e-7,0.1101666,0.01806583,0.004865147,0.5091022,0.1307661,0.03291149],"study_design_scores_gemma":[0.002875709,0.0004002105,0.7690227,0.0009190415,0.0006126635,0.00001719157,0.05198929,0.01031451,0.002090667,0.142664,0.01878014,0.000313844],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856831,0.001064173,0.002156883,0.008955336,0.0007169635,0.0009116892,0.00006375537,0.000005075242,0.0004430236],"genre_scores_gemma":[0.9988605,0.0003315517,0.0001667579,0.0002791142,0.000231602,0.00002927587,0.000001597634,0.000009667422,0.00008991621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5826448,"threshold_uncertainty_score":0.5435836,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408192887","doi":"10.1007/s10888-024-09664-3","title":"Skating on thin ice? Exposure to poverty among Canadians","year":2025,"lang":"en","type":"article","venue":"The Journal of Economic Inequality","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Acadia University; University of New Brunswick; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Poverty; Geography; Physical geography; Environmental science; Economics; Economic growth","authors":[{"name":"Khan Jahirul Islam","is_ca":true},{"name":"Murshed Chowdhury","is_ca":true},{"name":"Barry Watson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02978356000006944,"gpt":0.246541767503866,"spread":0.2167582075037965,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002855575,0.000170864,0.0005453029,0.0002786927,0.0002002568,0.00007167869,0.0005302228,0.0001012167,0.000227299],"category_scores_gemma":[0.00009376112,0.0001484968,0.0001724313,0.0001497273,0.00004966067,0.0002295559,0.00005737452,0.0003695667,0.0001489484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005261307,"about_ca_system_score_gemma":0.000141006,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01110249,"about_ca_topic_score_gemma":0.006786569,"domain_scores_codex":[0.9981158,0.00008453732,0.001248092,0.0001975748,0.00003448168,0.0003195181],"domain_scores_gemma":[0.9982794,0.0002117453,0.0009108962,0.0004341142,0.00004138421,0.0001224586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005282245,0.0002345764,0.1965741,0.0001021408,0.0005214324,0.00002962304,0.01841478,0.05307073,0.0000699228,0.6310853,0.09473279,0.004636379],"study_design_scores_gemma":[0.003769157,0.00109617,0.542743,0.0004930487,0.00009383263,0.00004487995,0.002137808,0.004723902,0.0009509104,0.06100529,0.3815938,0.001348253],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9197971,0.0002704273,0.00100461,0.003350493,0.001337582,0.0001400175,0.00008726543,0.00001036456,0.07400211],"genre_scores_gemma":[0.9907452,0.00006985847,0.0001564404,0.006322537,0.0003095668,0.000002681978,0.000001568367,0.00001701872,0.002375055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.57008,"threshold_uncertainty_score":0.9954827,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}