{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":20,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":20,"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":"c77e5dd3fb43","filters":{"venue":"Journal of Economic and Social Measurement"}},"results":[{"id":"W1831423787","doi":"10.3233/jem-2003-0194","title":"Additive decompositions for Fisher, Törnqvist and geometric mean indexes","year":2002,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":62,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Geometric mean; Mathematics; Statistics; Combinatorics; Applied mathematics; Econometrics","authors":[{"name":"Marshall Reinsdorf","is_ca":false},{"name":"W. Erwin Diewert","is_ca":true},{"name":"Christian Ehemann","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06769236655262408,"gpt":0.2448217763247582,"spread":0.1771294097721341,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006017375,0.00009507752,0.0002134779,0.0002463958,0.0002991351,0.0001946591,0.00006342134,0.0000385165,0.0001874846],"category_scores_gemma":[0.0000363013,0.00009184812,0.00008713933,0.00006006187,0.00004079017,0.0004368926,0.00002997442,0.00008555566,0.000004409762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007790322,"about_ca_system_score_gemma":0.00001261601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004774144,"about_ca_topic_score_gemma":0.0001191038,"domain_scores_codex":[0.9993556,0.000009263674,0.0002949491,0.00009802959,0.0001102555,0.0001318697],"domain_scores_gemma":[0.9994337,0.00005341528,0.0003068274,0.00003259642,0.0001563022,0.00001716491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002911441,0.0003952452,0.1918217,0.0003008011,0.0006639744,0.00001304774,0.001811088,0.000009582477,0.0005917066,0.005666709,0.07751522,0.7209197],"study_design_scores_gemma":[0.008268507,0.0002265607,0.6124008,0.0002131748,0.001587659,0.00005239907,0.003316265,0.001346429,0.0001212431,0.006139997,0.3652647,0.00106217],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907804,0.001145179,0.0004770508,0.0021222,0.0005813233,0.0002349991,0.00001293889,0.00001189646,0.004634066],"genre_scores_gemma":[0.9985803,0.00009808278,0.00008828547,0.000305147,0.000869492,0.000005643223,0.000001529038,0.000009634411,0.00004193836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7198576,"threshold_uncertainty_score":0.3745458,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W306308893","doi":"10.3233/jem-2003-0200","title":"The quadratic approximation lemma and decompositions of superlative indexes","year":2002,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Superlative; Lemma (botany); Quadratic equation; Mathematics; Mathematical economics; Econometrics; Economics; Linguistics; Philosophy; Geometry","authors":[{"name":"W. Erwin Diewert","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08734042167455493,"gpt":0.2248177073179488,"spread":0.1374772856433939,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001011912,0.00007806929,0.0003064341,0.00006614538,0.0002358914,0.00005887217,0.00008087552,0.00004514734,0.00005094375],"category_scores_gemma":[0.00002652529,0.0000690647,0.00008119115,0.00001661244,0.0001232904,0.0002146251,0.00002009921,0.00008504352,0.000005657756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001299809,"about_ca_system_score_gemma":0.00001493457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002418981,"about_ca_topic_score_gemma":0.00002925725,"domain_scores_codex":[0.999036,0.00002218558,0.0007145853,0.00009331756,0.00002650216,0.0001074051],"domain_scores_gemma":[0.9991226,0.00006015957,0.0006693542,0.00006064504,0.00004824675,0.00003895167],"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":[0.00003218393,0.0000529835,0.006812991,0.00002544534,0.000223941,3.08445e-7,0.006590542,0.00009008649,0.00006690746,0.9816568,0.0004493402,0.00399843],"study_design_scores_gemma":[0.004568173,0.0008233557,0.04398673,0.00009854412,0.000128087,0.00005806643,0.007349641,0.01540443,0.0004610674,0.9012386,0.02518852,0.0006947881],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864238,0.004784583,0.001818591,0.002422744,0.000312242,0.0001286483,0.00002555339,0.000002626111,0.004081228],"genre_scores_gemma":[0.9988201,0.0007372443,0.0001995724,0.0000438993,0.0001232361,0.000003209855,3.339094e-7,0.000006572015,0.00006586307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08041824,"threshold_uncertainty_score":0.2816377,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1834532245","doi":"10.3233/jem-2011-0342","title":"Internet search behavior as an economic forecasting tool: The case of inflation expectations","year":2011,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Alchemy (Canada)","funders":"","keywords":"Inflation (cosmology); Metadata; Econometrics; Survey of Professional Forecasters; The Internet; Predictive power; Economics; Index (typography); Survey data collection; Granger causality; Causality (physics); Computer science; Monetary policy; Statistics; Macroeconomics; Mathematics; World Wide Web","authors":[{"name":"Giselle Guzmán","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1845934815445795,"gpt":0.2878490056866164,"spread":0.1032555241420369,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00118213,0.00008413044,0.0001656676,0.0001272422,0.0001725204,0.0001000794,0.000109305,0.00003486318,0.0002564571],"category_scores_gemma":[0.00002112466,0.00006954376,0.00008273053,0.00002446829,0.00005178767,0.000704179,0.00004592053,0.0001097363,0.000008253601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009675573,"about_ca_system_score_gemma":0.00006922655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001906935,"about_ca_topic_score_gemma":0.001361088,"domain_scores_codex":[0.9992372,0.00002831614,0.0004628178,0.00008618105,0.00007696381,0.0001085359],"domain_scores_gemma":[0.9993004,0.00002515986,0.000456974,0.00006334627,0.0001422668,0.00001184748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005775046,0.0003307444,0.5418452,0.0001361707,0.0003467535,0.0002003056,0.03076021,0.00005919465,0.0008126576,0.0273221,0.0005083999,0.3971008],"study_design_scores_gemma":[0.005156249,0.000441824,0.8800114,0.0002012648,0.002236203,0.00116419,0.08779181,0.01108277,0.001268288,0.007260276,0.002311942,0.001073796],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970378,0.00004456085,0.00005045002,0.00007465235,0.0003018581,0.0001282305,0.000001206453,0.000004520898,0.002356782],"genre_scores_gemma":[0.9994259,0.000003344094,0.00006063402,0.00003688922,0.0004469756,0.000005195607,9.101511e-7,0.000009607864,0.00001057654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.396027,"threshold_uncertainty_score":0.2882728,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1514717448","doi":"10.3233/jem-2010-0336","title":"Socioeconomic patterns in climate data","year":2010,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada; University of Alabama","keywords":"Spatial analysis; Climate change; Urbanization; Socioeconomic status; Spatial econometrics; Covariate; Econometrics; Geography; Climatology; Counterfactual thinking; Spatial ecology; Data set; Physical geography; Environmental science; Statistics; Mathematics; Economics; Ecology; Demography; Geology; Sociology; Population; Economic growth","authors":[{"name":"Ross McKitrick","is_ca":true},{"name":"Nicolas Nierenberg","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04281721581217516,"gpt":0.251307635848662,"spread":0.2084904200364869,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001424302,0.00006612814,0.0001757316,0.00002268817,0.00008130628,0.0000371419,0.0002587961,0.00004892566,0.0008141776],"category_scores_gemma":[0.000003484963,0.00005507014,0.00003154837,0.000006682887,0.00001498336,0.0003482975,0.0001395236,0.0001419401,0.00009990643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001425899,"about_ca_system_score_gemma":0.0000208415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002202117,"about_ca_topic_score_gemma":0.01386918,"domain_scores_codex":[0.999286,0.00002307016,0.0003398715,0.0001185773,0.0000867134,0.0001457904],"domain_scores_gemma":[0.9996039,0.00001037611,0.0002259856,0.0001068651,0.000004712207,0.00004814326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002136354,0.00003745781,0.9933098,0.00001690312,0.00002328348,0.000003719073,0.0005888583,0.00003499802,0.0006567049,0.00006052798,0.000476669,0.004769735],"study_design_scores_gemma":[0.001128521,0.00005131694,0.9870582,0.00001916848,0.00002906308,0.00002125628,0.0006641179,0.001057654,0.00009195985,0.0006031492,0.00909633,0.0001792798],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980153,0.00002536296,0.000003613978,0.0006441679,0.0004416891,0.0000448705,0.00001219782,0.000001873507,0.000810864],"genre_scores_gemma":[0.9994976,0.00007886808,0.00004331008,0.0001095307,0.000261812,7.81883e-7,0.000001392053,0.000005073724,0.000001609576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01364897,"threshold_uncertainty_score":0.8914673,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1720462440","doi":"10.3233/jem-2006-0279","title":"Rethinking US Census racial and ethnic categories for the 21st century","year":2006,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Census and Population Estimation","field":"Mathematics","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Census; Ethnic group; Immigration; Race (biology); Population; Demography; Geography; Sociology; Gender studies; Anthropology","authors":[{"name":"Sharon M. Lee","is_ca":true},{"name":"Sonya M. Tafoya","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1532434053830708,"gpt":0.3298623235153227,"spread":0.176618918132252,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001135372,0.00006778232,0.0001615713,0.00002586295,0.0002847984,0.00004177987,0.00003842499,0.00005125134,0.00000578559],"category_scores_gemma":[0.00006359273,0.00004915741,0.00006352624,0.0000117262,0.00004127719,0.00007315524,0.000009593963,0.00008597779,2.041142e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001329101,"about_ca_system_score_gemma":0.00004439232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004430615,"about_ca_topic_score_gemma":0.0003232118,"domain_scores_codex":[0.9993477,0.00003182059,0.0003579933,0.00005481077,0.0001160742,0.00009154394],"domain_scores_gemma":[0.9993135,0.0001368716,0.0003820251,0.00003308616,0.0001151945,0.0000193048],"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":[0.0002734419,0.00009188538,0.006826497,0.0001941415,0.0002467417,0.000001443711,0.01415607,0.0001642585,0.0003011953,0.9130079,0.005095163,0.05964122],"study_design_scores_gemma":[0.002727781,0.0001443494,0.1196123,0.00006446159,0.0004289331,0.00003722663,0.002730811,0.001205291,0.0001340044,0.8276333,0.04499202,0.0002895493],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886889,0.003838904,0.001628738,0.00359286,0.001087867,0.0003457728,0.00001669632,0.000009667335,0.0007905473],"genre_scores_gemma":[0.9981065,0.0001648576,0.0007427469,0.00004730271,0.0009139212,0.000002584628,0.000001452149,0.000007399135,0.0000132607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1127858,"threshold_uncertainty_score":0.2190468,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3124141778","doi":"10.3233/jem-2009-0315","title":"DAD: A software for poverty and distributive analysis","year":2009,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Australian Agency for International Development; International Development Research Centre; Government of Canada; United States Agency for International Development","keywords":"Distributive property; Poverty; Economics; Sociology; Computer science; Mathematics; Economic growth","authors":[{"name":"Abdelkrim Araar","is_ca":true},{"name":"Jean‐Yves Duclos","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06933562875089444,"gpt":0.3211900419718263,"spread":0.2518544132209319,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00222502,0.00007854848,0.0003342226,0.00006185452,0.0005068069,0.0000806271,0.00008451871,0.00007219966,0.00002638142],"category_scores_gemma":[0.0002173587,0.0000686272,0.0001718941,0.00006132947,0.00007870563,0.0001963302,0.000009243223,0.00007667711,5.105409e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004507041,"about_ca_system_score_gemma":0.0002278645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000163412,"about_ca_topic_score_gemma":0.0006801267,"domain_scores_codex":[0.9990682,0.0001014059,0.0003409061,0.000103754,0.0002051163,0.0001806206],"domain_scores_gemma":[0.9992222,0.00005953096,0.0003196521,0.00003690308,0.0002642027,0.00009751309],"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":[0.001714084,0.0009125497,0.277172,0.0001204252,0.006216965,0.00001090868,0.1142717,0.00005954688,0.0002919231,0.3244121,0.07514366,0.1996742],"study_design_scores_gemma":[0.004754549,0.001227337,0.657194,0.00005227898,0.002544277,0.000003883095,0.02432858,0.0001512277,0.0001224267,0.1059495,0.2028461,0.0008258258],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9402013,0.001991737,0.02362656,0.02494298,0.001170281,0.0006860454,0.0002381154,0.00003020233,0.007112752],"genre_scores_gemma":[0.9983418,0.0001368991,0.0002328088,0.0006861874,0.0005444389,0.000001272739,0.000001900496,0.000002491367,0.00005221907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.380022,"threshold_uncertainty_score":0.3898001,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1187789559","doi":"10.3233/jem-2003-0206","title":"Forms and rates of economic and physical depreciation by type of assets in Canadian industries","year":2003,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Statistics Canada","funders":"","keywords":"Depreciation (economics); Economics; Business; Economic growth; Human capital","authors":[{"name":"Jang C. Hwang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07261643035830379,"gpt":0.2521263504200646,"spread":0.1795099200617608,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001371817,0.00009600166,0.0004867322,0.0001717869,0.00005201479,0.00002419429,0.00005116913,0.00008628303,0.00001977549],"category_scores_gemma":[0.00009434101,0.000107664,0.00003843665,0.00002855744,0.00008113219,0.0002700897,0.00001042954,0.0001167099,0.000001819001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003545656,"about_ca_system_score_gemma":0.0002360756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006542205,"about_ca_topic_score_gemma":0.01261726,"domain_scores_codex":[0.9990478,0.0000262054,0.0005995909,0.0001458312,0.00001921973,0.0001613551],"domain_scores_gemma":[0.9991498,0.00003363118,0.0006354824,0.00005238829,0.00003378339,0.00009493889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004009773,0.00003922626,0.9522222,0.00003521475,0.00009534089,2.75445e-7,0.0009366731,0.00001892179,0.0001229842,0.04427414,0.000403342,0.001811545],"study_design_scores_gemma":[0.003919785,0.0006682204,0.8479469,0.00005883373,0.00005423338,0.00001801507,0.001286573,0.0004098403,0.005411931,0.1246132,0.01503222,0.000580243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954066,0.002205159,0.000006360553,0.0003291696,0.0001814936,0.00008770889,0.00004911303,6.776663e-7,0.001733688],"genre_scores_gemma":[0.9995025,0.000362561,0.00002600178,0.00001947446,0.00006670568,0.000001257948,0.000001348948,0.000007132188,0.00001298525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1042753,"threshold_uncertainty_score":0.98899,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2911707388","doi":"10.3233/jem-180458","title":"The racial ‘digital divide’ in the predictive power of Google trends data for forecasting the unemployment rate","year":2018,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Saint Mary's University","funders":"","keywords":"Predictive power; Unemployment; Unemployment rate; Sample (material); Big data; Time series; Power (physics); Econometrics; Computer science; Demographic economics; Economics; Data mining; Machine learning; Economic growth","authors":[{"name":"Maryam Dilmaghani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1287611306283128,"gpt":0.3250426082791293,"spread":0.1962814776508165,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003746315,0.00009202582,0.0002523538,0.00003606328,0.0002322071,0.00006410404,0.0003407435,0.00002858248,0.00001174407],"category_scores_gemma":[0.0003624439,0.00004516824,0.0001002787,0.00004054911,0.0002436108,0.0001677003,0.00008711947,0.0001177059,9.487146e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000150324,"about_ca_system_score_gemma":0.0002294172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008399657,"about_ca_topic_score_gemma":0.0001647097,"domain_scores_codex":[0.9988543,0.0001074956,0.0005116554,0.0001188459,0.0002410441,0.0001666063],"domain_scores_gemma":[0.9988226,0.0002412548,0.0004806406,0.0002329711,0.0001836705,0.00003889445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01927695,0.001551997,0.1263822,0.0001997731,0.005178308,0.00003670538,0.05174065,0.0001141408,0.000574322,0.003359274,0.3129326,0.4786531],"study_design_scores_gemma":[0.01547775,0.005047826,0.4730896,0.0004506604,0.001006331,0.00009209689,0.0210455,0.005284355,0.0002237862,0.005874644,0.4719269,0.0004805215],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824049,0.0008491298,0.000422145,0.0119816,0.0008025123,0.000632625,0.0007200319,0.00000521794,0.002181779],"genre_scores_gemma":[0.9987573,0.00002239819,0.00001762707,0.0001903292,0.0009535978,0.000007937977,0.00001242507,0.000008338458,0.00003006561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4781726,"threshold_uncertainty_score":0.1841908,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3016708728","doi":"10.3233/jem-200469","title":"Top expenditure distribution in Arab countries and the inequality puzzle","year":2019,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Inequality; Outlier; Palestine; Distribution (mathematics); Econometrics; Economics; Demographic economics; Statistics; Geography; Mathematics","authors":[{"name":"Vladimír Hlásny","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04693242620063619,"gpt":0.2973462892688217,"spread":0.2504138630681855,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006067939,0.00006779005,0.000265483,0.00002108888,0.0003153113,0.00008876432,0.00009789434,0.00007717515,0.00006335541],"category_scores_gemma":[0.00009777155,0.00004769949,0.0000628276,0.00002074354,0.0002207961,0.0002398499,0.00002060351,0.0001523155,0.000004334966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004733229,"about_ca_system_score_gemma":0.0001915263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001039175,"about_ca_topic_score_gemma":0.002105616,"domain_scores_codex":[0.9987633,0.0003650303,0.0003828838,0.00008221805,0.0002565114,0.0001500123],"domain_scores_gemma":[0.9994333,0.00009040396,0.0002982642,0.00004703184,0.00008941995,0.00004156113],"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":[0.0007860486,0.0000966862,0.2674989,0.00006687899,0.0001107094,0.000002283504,0.07350412,0.00001010869,0.00003160713,0.6504493,0.004361751,0.003081598],"study_design_scores_gemma":[0.009908393,0.0002028597,0.3984487,0.0001097367,0.00008961883,0.000006059135,0.0787993,0.00007347785,0.0001111363,0.05889246,0.4528833,0.0004749449],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871013,0.0005663252,0.00004031116,0.008278038,0.0006805743,0.000172349,0.00001492071,0.00000271476,0.003143515],"genre_scores_gemma":[0.9987326,0.0004248202,0.000003759774,0.0003023801,0.0004816687,0.000001915482,9.635456e-7,0.000002333959,0.00004959021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5915569,"threshold_uncertainty_score":0.2425151,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1882077733","doi":"10.3233/jem-150414","title":"Measuring time use in household surveys","year":2015,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Booth University College","funders":"","keywords":"Econometrics; Economics","authors":[{"name":"Erik Hurst","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2446169178857526,"gpt":0.2812444646513524,"spread":0.03662754676559987,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009028814,0.00008893688,0.0002684013,0.000104538,0.0001616022,0.000115734,0.0001404161,0.00009307309,0.000008908665],"category_scores_gemma":[0.0001814022,0.00008991511,0.00007132661,0.00005218368,0.00009166274,0.000364158,0.00002086532,0.0001549405,0.000008028648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009831726,"about_ca_system_score_gemma":0.0006992658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001580404,"about_ca_topic_score_gemma":0.006552977,"domain_scores_codex":[0.9983639,0.0005099291,0.000404112,0.0001011429,0.0003882514,0.0002326581],"domain_scores_gemma":[0.9992926,0.00004367146,0.0002470827,0.00004902367,0.0002031883,0.0001643986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007866634,0.0002098729,0.9210116,0.00001510729,0.0001693654,0.00002625674,0.06355852,0.001016049,0.0002079681,0.005917013,0.004482803,0.00330675],"study_design_scores_gemma":[0.003716828,0.0001895246,0.9332864,0.0000704647,0.00007462261,0.000007725791,0.03843996,0.0002819963,0.0000164217,0.005977452,0.01741397,0.0005245782],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951909,0.0002486702,0.0001662054,0.0004505333,0.0006417097,0.00008679462,0.000004535852,0.000007928998,0.003202768],"genre_scores_gemma":[0.9990551,0.0001129087,0.0001091779,0.00008128311,0.0004864081,9.169057e-7,3.120676e-7,0.000009518818,0.0001443181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02511856,"threshold_uncertainty_score":0.3666632,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1533527726","doi":"10.3233/jem-2003-0209","title":"On a dual measure of the utilization rate of capital","year":2003,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Dual (grammatical number); Measure (data warehouse); Capital (architecture); Economics; Econometrics; Computer science; Data mining; Geography; Philosophy","authors":[{"name":"René Durand","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1010928744760461,"gpt":0.228275519864622,"spread":0.1271826453885759,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002663391,0.00009579405,0.0004259011,0.00009161121,0.00007719707,0.00001372559,0.0001026099,0.00006622407,0.00007414166],"category_scores_gemma":[0.0002504471,0.00008529468,0.0001794237,0.00003940386,0.00008632471,0.0001241782,0.00001319291,0.0001214498,0.000005598321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001673564,"about_ca_system_score_gemma":0.0001053668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000214896,"about_ca_topic_score_gemma":0.0000192964,"domain_scores_codex":[0.9988283,0.0000760292,0.0008082793,0.0001288115,0.00004275257,0.0001158154],"domain_scores_gemma":[0.9984192,0.00003386328,0.001302562,0.0001147215,0.00009263495,0.0000370136],"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":[0.0001379609,0.0001848569,0.06499612,0.00007617244,0.0002701664,4.392986e-7,0.002098896,0.0001459644,0.0005276963,0.9299005,0.0008490963,0.0008120855],"study_design_scores_gemma":[0.007517094,0.001245082,0.28398,0.0002067436,0.0001604974,0.0000391473,0.002346985,0.0001872387,0.02508559,0.6631201,0.01530533,0.0008062558],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896566,0.001208047,0.0001862348,0.0004602612,0.0008314679,0.0001173169,0.00002755246,0.000001289347,0.007511282],"genre_scores_gemma":[0.9996868,0.00007199519,0.00003118468,0.0000619909,0.0001039505,0.000001249843,2.21652e-7,0.000008250332,0.00003435466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2667804,"threshold_uncertainty_score":0.3478216,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W616368880","doi":"10.3233/jem-130380","title":"Correction for variations in capacity utilization in the measurement of productivity growth: A non-parametric approach","year":2013,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; Parametric statistics; Economics; Econometrics; Computer science; Statistics; Macroeconomics; Mathematics","authors":[{"name":"Wulong Gu","is_ca":true},{"name":"Weimin Wang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1477866032189433,"gpt":0.2414700410230901,"spread":0.09368343780414684,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067742,0.0001175431,0.0004711803,0.0004003104,0.00008864528,0.00004788908,0.0001486625,0.00008280625,0.00001165238],"category_scores_gemma":[0.0005142314,0.0001127778,0.0001155442,0.0001782082,0.00005112291,0.0004375861,0.00001341522,0.0001850712,0.000003315925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006484867,"about_ca_system_score_gemma":0.00009925372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007552745,"about_ca_topic_score_gemma":0.0002705176,"domain_scores_codex":[0.9984565,0.00007216639,0.0009820615,0.0002280683,0.00007930944,0.0001818545],"domain_scores_gemma":[0.9986192,0.00006752572,0.0009541101,0.0001086946,0.0002190496,0.00003139184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004189124,0.003029757,0.8071368,0.0006529549,0.0004598194,4.357857e-7,0.02158451,0.001993906,0.0006179737,0.1437476,0.006039487,0.01431779],"study_design_scores_gemma":[0.002083378,0.0002633997,0.8983783,0.00003165318,0.00002825356,0.000006342701,0.001078446,0.0122343,0.0003605073,0.08465515,0.0006252658,0.0002550251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800934,0.0004138051,0.01325064,0.001308595,0.001061937,0.001024183,0.00001538591,0.000002620843,0.00282946],"genre_scores_gemma":[0.9991518,0.0000467902,0.000446283,0.00003571719,0.0002305766,0.00007263388,0.000001300635,0.000008416116,0.000006542124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09124146,"threshold_uncertainty_score":0.4598943,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1898472205","doi":"10.3233/jem-2004-0234","title":"Uniqueness of the numeraire and consistent valuation in accounting for real values","year":2004,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Numéraire; Valuation (finance); Uniqueness; Economics; Econometrics; Accounting; Actuarial science; Mathematical economics; Mathematics; Mathematical analysis","authors":[{"name":"René Durand","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1274305728307581,"gpt":0.3172366953642379,"spread":0.1898061225334798,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003574885,0.00005383696,0.000167932,0.00008422133,0.0001475596,0.00005933175,0.00005782384,0.00003573477,0.00000236109],"category_scores_gemma":[0.0003082273,0.00004134222,0.00006193453,0.00004382767,0.0000493817,0.000214107,0.00002852271,0.0000668764,2.592455e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001515131,"about_ca_system_score_gemma":0.000218819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003959078,"about_ca_topic_score_gemma":0.0002437502,"domain_scores_codex":[0.9991583,0.00001706892,0.0004507424,0.00006964477,0.0002142054,0.00008999528],"domain_scores_gemma":[0.9989262,0.00002458331,0.0006457632,0.00003390747,0.0003642045,0.000005341545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004482081,0.0002695485,0.733352,0.0008890713,0.0002039473,0.000003133847,0.003389965,0.002619346,0.00603339,0.1763369,0.0005584786,0.07589601],"study_design_scores_gemma":[0.002930756,0.00005009583,0.8955094,0.0002831416,0.00009826372,0.000004030565,0.001878087,0.001079418,0.0005092286,0.09657478,0.0009413626,0.0001414948],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969199,0.00008004621,0.0001705293,0.0020029,0.0002187548,0.0001838159,4.703944e-7,0.000001854736,0.0004217446],"genre_scores_gemma":[0.999477,0.00002047642,0.00006932617,0.00008827372,0.0003273473,0.000004686809,3.008456e-7,0.000004935766,0.00000766201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1621574,"threshold_uncertainty_score":0.1685887,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1157432621","doi":"10.3233/jem-2005-0240","title":"Rymes' measure of productivity growth: The static and the dynamic view","year":2005,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Measure (data warehouse); Productivity; Economics; Econometrics; Mathematical economics; Computer science; Macroeconomics; Data mining","authors":[{"name":"René Durand","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04488716098642031,"gpt":0.2243584330634572,"spread":0.1794712720770369,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007001001,0.0001509657,0.0006557315,0.00007798964,0.0002330836,0.00005978972,0.0002161676,0.00005823992,0.00003657678],"category_scores_gemma":[0.0002331293,0.00010465,0.000168047,0.00004396386,0.0003870707,0.0003125167,0.0000481988,0.0002511867,0.00001060488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002226531,"about_ca_system_score_gemma":0.00008984223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007606218,"about_ca_topic_score_gemma":0.000141667,"domain_scores_codex":[0.9984587,0.0001229607,0.0009433337,0.0002183063,0.00006502599,0.0001916013],"domain_scores_gemma":[0.9983522,0.0001077929,0.001211863,0.0001670201,0.0001069586,0.0000542149],"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":[0.001068758,0.0003988298,0.04625523,0.0004512087,0.001798951,0.000001589169,0.01776052,0.0001992503,0.0001925056,0.8444641,0.003368683,0.0840404],"study_design_scores_gemma":[0.01679026,0.0006902034,0.2460547,0.0001875336,0.0005364793,0.000207193,0.003201534,0.004323632,0.0007209575,0.6448022,0.08112518,0.001360138],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9293771,0.02081897,0.0005470158,0.04573361,0.0006254912,0.0004349523,0.00003205109,0.000005024906,0.002425735],"genre_scores_gemma":[0.9981694,0.001000986,0.00009878162,0.0002376156,0.0004253364,0.000007247301,3.027605e-7,0.00001242563,0.00004788071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1997995,"threshold_uncertainty_score":0.4267505,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1758214730","doi":"10.3233/jem-150409","title":"Human capital, education, achievement and learning","year":2015,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Human capital; Psychology; Economics; Economic growth","authors":[{"name":"Chris Robinson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0804694751794681,"gpt":0.2683406477797136,"spread":0.1878711726002454,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003156507,0.0000911082,0.0003035289,0.00009454987,0.0001682066,0.00009167589,0.00007567238,0.00005152436,0.00002334426],"category_scores_gemma":[0.00006923015,0.00009768735,0.00005581284,0.00002027561,0.00004427607,0.0001737338,0.00003384006,0.0001680654,0.000006826697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000369754,"about_ca_system_score_gemma":0.0001239624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001778763,"about_ca_topic_score_gemma":0.00004697047,"domain_scores_codex":[0.9990296,0.00004298998,0.0006241368,0.0001295726,0.00005249339,0.000121151],"domain_scores_gemma":[0.9990804,0.000008987185,0.0006225953,0.00005269147,0.0001190927,0.0001162866],"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":[0.00002708195,0.0001768309,0.170774,0.00003587721,0.0001727406,0.00000137906,0.005071496,0.00003376382,0.0000350761,0.8190439,0.001020868,0.003607007],"study_design_scores_gemma":[0.002939299,0.0006619645,0.2249439,0.00004545651,0.00005244415,0.00002151627,0.008062877,0.0001376915,0.00001328623,0.6632513,0.09930814,0.0005621704],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913667,0.002084689,0.0001465889,0.001623865,0.0004772536,0.00006567033,0.000005958223,0.00000364639,0.004225573],"genre_scores_gemma":[0.9989977,0.0001040757,0.0001540292,0.0001760805,0.0003505377,0.000002405867,0.000001163916,0.000009446481,0.0002045336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1557926,"threshold_uncertainty_score":0.3983575,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1434240681","doi":"10.3233/jem-2003-0182","title":"On the meaning of real value and quantity indices","year":2001,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Meaning (existential); Value (mathematics); Economics; Sociology; Econometrics; Statistics; Epistemology; Mathematics; Philosophy","authors":[{"name":"René Durand","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09697379175511076,"gpt":0.2491270869145789,"spread":0.1521532951594681,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001448302,0.00007362573,0.0003227879,0.0001137638,0.0001362352,0.00004144361,0.00008201267,0.00004259648,0.0000670617],"category_scores_gemma":[0.00003355068,0.00005711762,0.0001169097,0.00003337097,0.0000798705,0.0001124215,0.00001877889,0.0000960836,0.000006487179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001042264,"about_ca_system_score_gemma":0.0000209477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003001263,"about_ca_topic_score_gemma":0.0001155034,"domain_scores_codex":[0.999221,0.00002314338,0.0005185599,0.00009296259,0.00005140651,0.0000928904],"domain_scores_gemma":[0.9991173,0.00004427326,0.0007191525,0.00005280244,0.00003023595,0.00003626549],"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":[0.00003399553,0.00003542739,0.04351217,0.000007054,0.0002017341,0.000001004312,0.001346746,0.00002447772,0.00003612532,0.9542171,0.0002967063,0.0002874375],"study_design_scores_gemma":[0.002231338,0.0007761616,0.2628982,0.00008501374,0.0002119673,0.00001948918,0.004862185,0.001735153,0.0003062518,0.7204897,0.005936861,0.0004476022],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895977,0.003093309,0.00002235286,0.001119526,0.0001500738,0.00004537615,0.000005600698,0.00000145151,0.005964654],"genre_scores_gemma":[0.994285,0.005382507,0.00003568239,0.0001113238,0.0001445296,7.235936e-7,2.36339e-7,0.00000496579,0.00003502165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2337274,"threshold_uncertainty_score":0.2329189,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1709208410","doi":"10.3233/jem-2005-0241","title":"Produced and non-produced inputs: Once and for all?","year":2005,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Economics; Computer science","authors":[{"name":"René Durand","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09477105678290414,"gpt":0.2606698049913153,"spread":0.1658987482084112,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002450711,0.0001541704,0.0005416537,0.0001241454,0.0001646042,0.00009321131,0.00009349814,0.00008224758,0.00001517919],"category_scores_gemma":[0.0001085968,0.0001682411,0.00008435932,0.00001896201,0.00007509918,0.0004319282,0.0000377665,0.0001389694,0.000007491339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002453295,"about_ca_system_score_gemma":0.00006155723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002048467,"about_ca_topic_score_gemma":0.00003573411,"domain_scores_codex":[0.998637,0.00001564468,0.0007448246,0.000341972,0.00003032967,0.0002302354],"domain_scores_gemma":[0.9990051,0.00003153541,0.0006845001,0.0001022431,0.00006448314,0.0001121587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002148745,0.0009814643,0.4681241,0.001394144,0.003362109,0.000006865941,0.03045476,0.0002260572,0.01477855,0.172375,0.02622818,0.27992],"study_design_scores_gemma":[0.02100708,0.00250666,0.2403833,0.0001762847,0.0003643567,0.0002043771,0.001505907,0.00438972,0.01463003,0.1550366,0.556865,0.002930617],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820219,0.003210485,0.0003938137,0.01293173,0.000476698,0.0002969906,0.00002712086,0.000005200617,0.0006360771],"genre_scores_gemma":[0.9967732,0.0004542583,0.0008503444,0.000490938,0.001344399,0.00001082149,9.615563e-7,0.00001681097,0.00005827819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5306368,"threshold_uncertainty_score":0.6860673,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2167269466","doi":"10.3233/jem-130375","title":"Thinking and growing: Towards a reconciliation of exogenous and endogenous growth theories","year":2013,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Public Works and Government Services Canada","funders":"","keywords":"Endogenous growth theory; Economics; Endogeny; Neoclassical economics; Growth theory; Positive economics; Mathematical economics; Economic growth; Medicine; Internal medicine","authors":[{"name":"René Durand","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08038376521834802,"gpt":0.2106972906316888,"spread":0.1303135254133407,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002259596,0.0001311302,0.0005396852,0.0001347191,0.000171156,0.00009531456,0.00009947481,0.00008347975,0.00005260584],"category_scores_gemma":[0.0001123086,0.0001377914,0.0000809388,0.00002385087,0.0001190256,0.0006188283,0.00004642828,0.000127523,0.000005311384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001696076,"about_ca_system_score_gemma":0.00006761389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004037759,"about_ca_topic_score_gemma":0.00002388802,"domain_scores_codex":[0.9987752,0.00003544354,0.0007729874,0.0001974091,0.00004675888,0.0001721422],"domain_scores_gemma":[0.9988401,0.00003997565,0.0008616156,0.00006984268,0.0001093934,0.00007909116],"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":[0.0001364434,0.0001286774,0.2502264,0.0003365936,0.0006812541,0.000003018049,0.02126792,0.000007580559,0.002076006,0.6959505,0.0002910148,0.02889456],"study_design_scores_gemma":[0.001900821,0.0004880629,0.1476823,0.00004195908,0.00006067598,0.0001028017,0.00228956,0.0001010635,0.001727247,0.8438691,0.001327773,0.0004086163],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881709,0.005589521,0.0002264422,0.001723208,0.0003657864,0.000165976,0.00001537327,0.000004458149,0.00373835],"genre_scores_gemma":[0.9983508,0.0008673484,0.0003326055,0.0001416795,0.0002759545,0.000004753106,5.372872e-7,0.00001140659,0.00001493569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1479186,"threshold_uncertainty_score":0.5618969,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2327805644","doi":"10.3233/jem-160423","title":"Model specification tests and the estimation of treatment effects: An application with random and non-random administrative records","year":2016,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Bounding overwatch; Test (biology); Econometrics; Nonparametric statistics; Earnings; Computer science; Estimation; Limiting; Random effects model; Statistics; Economics; Mathematics; Accounting; Engineering; Artificial intelligence; Medicine","authors":[{"name":"Tao Chen","is_ca":true},{"name":"Kenneth A. Couch","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1629051827695431,"gpt":0.3770801067298768,"spread":0.2141749239603337,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000874722,0.00009540224,0.0003105789,0.00003166485,0.00007356838,0.00001744399,0.00003739637,0.00003745695,9.862437e-7],"category_scores_gemma":[0.000109279,0.0000479127,0.00002772238,0.00001139119,0.0001571514,0.0002005247,0.000005858705,0.00003749896,1.049902e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002199118,"about_ca_system_score_gemma":0.00008492533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008525075,"about_ca_topic_score_gemma":0.00005848634,"domain_scores_codex":[0.9993464,0.0000765946,0.0003379158,0.00009120365,0.00008848131,0.00005943318],"domain_scores_gemma":[0.9988208,0.0003349003,0.0005825845,0.00007169842,0.0001553142,0.00003468876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.02197118,0.0008164493,0.004948414,0.0004481646,0.001143658,0.000002001228,0.02317586,0.0004471581,0.03920294,0.2323335,0.000251048,0.6752596],"study_design_scores_gemma":[0.0412344,0.004172518,0.007149674,0.0004528566,0.000692589,0.00002893172,0.001278668,0.02375892,0.0240439,0.896755,0.00005903958,0.0003734454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6168128,0.00006645341,0.382037,0.0003715623,0.00001567981,0.0005507277,0.000003420055,0.000006071992,0.0001363099],"genre_scores_gemma":[0.9881797,0.0002483808,0.01144337,0.000007855933,0.0000605701,0.00004591443,3.43022e-7,0.000007049268,0.000006838282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6748862,"threshold_uncertainty_score":0.1953823,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4251318845","doi":"10.3233/jem-2001-0202","title":"Research on price index measurement: Agendas for the next twenty years","year":2001,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"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":"Index (typography); Economics; Econometrics; Computer science; World Wide Web","authors":[{"name":"Ernst R. Berndt","is_ca":true},{"name":"Erwin Diewert","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.6469512585237287,"gpt":0.4878916901894381,"spread":0.1590595683342906,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07647586,0.0001232278,0.0003508982,0.000317065,0.0006171487,0.0003806502,0.0006927206,0.00008490452,0.0001566939],"category_scores_gemma":[0.004506248,0.00008119328,0.000235322,0.0002076634,0.0001565749,0.0002077269,0.00008484768,0.0003952412,0.00002457315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008208241,"about_ca_system_score_gemma":0.000436785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002311081,"about_ca_topic_score_gemma":0.00006619179,"domain_scores_codex":[0.9949337,0.0008904091,0.0009040515,0.000265855,0.002631598,0.0003744306],"domain_scores_gemma":[0.9953825,0.002257177,0.0006615996,0.0002278053,0.001348618,0.0001222445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001658132,0.0001606912,0.006673554,0.0000109795,0.0003561428,0.00001074509,0.003159412,0.0005156468,0.0003418082,0.00368557,0.07263433,0.910793],"study_design_scores_gemma":[0.003239087,0.0009459496,0.2838382,0.00009362747,0.00008547895,0.00005297308,0.009734615,0.001612113,0.0001645197,0.05844451,0.6414682,0.0003207425],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.899843,0.002702973,0.04374355,0.01805033,0.006400867,0.001768037,0.00001266977,0.00002130341,0.0274573],"genre_scores_gemma":[0.9979061,0.0000820502,0.0004263861,0.0002064727,0.001122621,0.00001325898,5.368827e-8,0.0000139546,0.0002290779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9104722,"threshold_uncertainty_score":0.9509624,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}