{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":57,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":57,"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":"c063f6dc8579","filters":{"venue":"American Economic Journal Applied Economics"}},"results":[{"id":"W3123703439","doi":"10.1257/app.4.4.1","title":"Soap Operas and Fertility: Evidence from Brazil","year":2012,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":1433,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Fertility; Socioeconomic status; Exploit; Selection (genetic algorithm); Advertising; Demography; Psychology; Sociology; Business; Computer science; Population","authors":[{"name":"Eliana La Ferrara","is_ca":false},{"name":"Alberto Chong","is_ca":true},{"name":"Suzanne Duryea","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03091413366549113,"gpt":0.3155763985422452,"spread":0.2846622648767541,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001008605,0.0002491883,0.0003531686,0.001109887,0.0005381446,0.0007237938,0.0003909708,0.0003171497,0.003168883],"category_scores_gemma":[0.007595917,0.0002358073,0.0005335858,0.002087539,0.0008842798,0.0003745349,0.000786403,0.000499572,0.0002250337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009763612,"about_ca_system_score_gemma":0.0005753197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1975827,"about_ca_topic_score_gemma":0.1919957,"domain_scores_codex":[0.9994773,0.0002393278,0.0000282347,0.00009225651,0.00007617607,0.00008674685],"domain_scores_gemma":[0.9919599,0.004299066,0.002660115,0.0003517594,0.0003758425,0.0003533223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005795864,0.00006730376,0.9886819,0.00009271397,0.0001531018,0.0001432176,0.001825218,0.0003978582,0.0002708323,0.001031863,0.0004406649,0.006837321],"study_design_scores_gemma":[0.00001851877,0.00006066387,0.9940459,0.00005358083,0.0001557655,0.00008633923,0.001686508,0.001327121,0.0001671748,0.0003780159,0.002012815,0.000007532728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932532,0.0008787423,0.0002636351,0.0004637939,0.000005567254,0.00001537964,0.001186476,0.000007795474,0.003925471],"genre_scores_gemma":[0.9987196,0.0004788573,0.0001011977,0.00002482512,0.000007385669,0.00000625766,0.0003671029,0.000003130452,0.0002917969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1975827,"threshold_uncertainty_score":0.3928653,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2075427517","doi":"10.1257/app.4.1.1","title":"The Short- and Long-Term Career Effects of Graduating in a Recession","year":2012,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1261,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Statistics Canada; University of Toronto","funders":"","keywords":"Recession; Earnings; Economics; Term (time); Labour economics; Work (physics); Demographic economics; Work hours; Earnings growth; Working hours; Accounting; Keynesian economics; Engineering","authors":[{"name":"Philip Oreopoulos","is_ca":true},{"name":"Till von Wachter","is_ca":false},{"name":"Andrew Heisz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01728618508565248,"gpt":0.2321493063011117,"spread":0.2148631212154593,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001150042,0.0001640626,0.0002879518,0.0008044461,0.0006510885,0.001013231,0.0003858254,0.0008752784,0.004734461],"category_scores_gemma":[0.007255781,0.0001857698,0.0003182416,0.001135756,0.0004871621,0.0006655894,0.001581049,0.001752921,0.0007453301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007030654,"about_ca_system_score_gemma":0.0004942394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01695104,"about_ca_topic_score_gemma":0.03692458,"domain_scores_codex":[0.9995241,0.00008371158,0.00003321447,0.00005345904,0.00006853628,0.0002369808],"domain_scores_gemma":[0.9922372,0.001364108,0.004142738,0.0001650575,0.0005041541,0.001586768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002521199,0.0001276229,0.9831444,0.00003496657,0.00004811831,0.0001590225,0.0002456332,0.0007771798,0.0002740108,0.0005418813,0.001577213,0.01281779],"study_design_scores_gemma":[0.000003976316,0.00004178013,0.9982156,0.00001851005,0.00001157603,0.0000342799,0.0005164861,0.0003870416,0.00003381761,0.0002279281,0.0005042302,0.000004944765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994516,0.0007694516,0.0001935177,0.001666511,0.00002897194,0.00001142244,0.001221675,0.000009123348,0.00158347],"genre_scores_gemma":[0.9967088,0.0006025934,0.00006136065,0.0001675784,0.00006471625,0.000005949447,0.001291294,0.000004539631,0.001093281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01695104,"threshold_uncertainty_score":0.0337047,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3124390037","doi":"10.1257/app.20170286","title":"Severe Air Pollution and Labor Productivity: Evidence from Industrial Towns in China","year":2019,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":457,"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":"Productivity; Pollution; China; Air pollution; Environmental science; Variation (astronomy); Ventilation (architecture); Economics; Natural resource economics; Agricultural economics; Demographic economics; Geography; Meteorology; Ecology; Economic growth; Biology","authors":[{"name":"Jiaxiu He","is_ca":true},{"name":"Haoming Liu","is_ca":false},{"name":"Alberto Salvo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02212216234419478,"gpt":0.2457962959296074,"spread":0.2236741335854126,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007040634,0.0004142111,0.0003834144,0.00142558,0.0007944143,0.0007008737,0.0007757081,0.0004335123,0.00139054],"category_scores_gemma":[0.001382409,0.0003066118,0.000497168,0.002414021,0.0008526836,0.0002984483,0.001154292,0.0003234528,0.0001881873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001104327,"about_ca_system_score_gemma":0.0007724197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1164178,"about_ca_topic_score_gemma":0.1357004,"domain_scores_codex":[0.9995044,0.0001086453,0.00004545452,0.0001142051,0.0000936347,0.0001336481],"domain_scores_gemma":[0.9970596,0.0004621969,0.001258772,0.0003210632,0.0003697932,0.0005285502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004410299,0.00004342474,0.9972079,0.00001296133,0.00008510484,0.00013419,0.0002920053,0.0003512116,0.0002713418,0.00005837679,0.0001204172,0.001379022],"study_design_scores_gemma":[0.000003377861,0.00002120619,0.9993342,0.000001599554,0.00001431651,0.00001230782,0.0002128051,0.0002525405,0.0000426104,0.00001996372,0.00008282124,0.00000234416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995124,0.00006677964,0.00003696087,0.00004252045,0.000001389207,0.000003167368,0.0001710552,0.00000184966,0.0001638594],"genre_scores_gemma":[0.9994778,0.00006603045,0.00002012304,0.00001372043,0.00000428253,0.000002807553,0.0002854005,6.631373e-7,0.0001293141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1164178,"threshold_uncertainty_score":0.2314805,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2014220906","doi":"10.1257/app.1.4.34","title":"Peer Effects in the Workplace: Evidence from Random Groupings in Professional Golf Tournaments","year":2009,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":445,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"National Institute on Aging","keywords":"Incentive; Peer effects; Complement (music); Random assignment; Test (biology); Psychology; Marketing; Business; Social psychology; Economics; Microeconomics; Medicine","authors":[{"name":"Jonathan Guryan","is_ca":false},{"name":"Kory Kroft","is_ca":true},{"name":"Matthew Notowidigdo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01414823127998144,"gpt":0.2348972581165928,"spread":0.2207490268366114,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01942918,0.0004896673,0.001337467,0.001310866,0.002043418,0.001797234,0.002335569,0.001779763,0.007646276],"category_scores_gemma":[0.1190505,0.0006427229,0.0009398359,0.001765017,0.003456742,0.001153655,0.002759573,0.00141484,0.001552802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000603878,"about_ca_system_score_gemma":0.0005874609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01054003,"about_ca_topic_score_gemma":0.006878502,"domain_scores_codex":[0.958888,0.02655961,0.001563783,0.006533699,0.004439818,0.002015162],"domain_scores_gemma":[0.7620319,0.1115329,0.07786696,0.03435274,0.006471817,0.007743673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002021132,0.001134395,0.9706021,0.0001159711,0.00114446,0.0003368227,0.002302723,0.001258395,0.0005484552,0.001382572,0.001191415,0.01796162],"study_design_scores_gemma":[0.0002495177,0.001099379,0.9905649,0.00003745498,0.0004331385,0.0002125909,0.001324415,0.002549812,0.0003486658,0.002202287,0.0009422051,0.00003556011],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943526,0.0003794471,0.002413773,0.0002305083,0.00002932854,0.0000850956,0.0002620462,0.00002571728,0.00222152],"genre_scores_gemma":[0.9988865,0.00005422477,0.0002731674,0.00005470445,0.0000270684,0.00004206044,0.0001536337,0.000008536015,0.0005001142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01942918,"threshold_uncertainty_score":0.1027526,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1835208334","doi":"10.1257/app.20150044","title":"Star Wars: The Empirics Strike Back","year":2015,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":419,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada; Conseil Régional, Île-de-France; European Commission","keywords":"Residual; Null (SQL); Interpretation (philosophy); Null hypothesis; Star (game theory); Econometrics; Measure (data warehouse); Statistics; Value (mathematics); Statistical hypothesis testing; Mathematics; Computer science; Linguistics; Algorithm; Philosophy; Data mining; Mathematical analysis","authors":[{"name":"Abel Brodeur","is_ca":true},{"name":"Mathias Lé","is_ca":false},{"name":"Marc Sangnier","is_ca":false},{"name":"Yanos Zylberberg","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.6667031312708307,"gpt":0.4668327225518069,"spread":0.1998704087190238,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1316103,0.001293209,0.003298339,0.01531054,0.002808745,0.01659182,0.002432206,0.004502851,0.012489],"category_scores_gemma":[0.4607566,0.001167345,0.002407393,0.01380751,0.01376387,0.01485233,0.006210458,0.005959617,0.002600143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004227694,"about_ca_system_score_gemma":0.003479994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00440557,"about_ca_topic_score_gemma":0.004110921,"domain_scores_codex":[0.9160394,0.05268327,0.007766395,0.0095702,0.01269152,0.001249216],"domain_scores_gemma":[0.3965443,0.506788,0.0355111,0.03855348,0.01917649,0.0034266],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001728784,0.0001354123,0.1347129,0.004104807,0.006307496,0.001102605,0.005917312,0.007731053,0.0006531941,0.2989858,0.1298119,0.4088086],"study_design_scores_gemma":[0.0003555383,0.0003994348,0.05055278,0.006662349,0.001150661,0.001043917,0.006869104,0.0166717,0.0009556052,0.7552183,0.159914,0.0002065917],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1979706,0.143508,0.1014099,0.4710132,0.008488261,0.0003269884,0.004254787,0.001199609,0.07182866],"genre_scores_gemma":[0.8964633,0.02217227,0.02072626,0.04890435,0.005068462,0.0001919111,0.001566523,0.0007035846,0.004203238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8683897,"threshold_uncertainty_score":0.6960304,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3122664019","doi":"10.1257/app.20170048","title":"Do Risk Preferences Change? Evidence from the Great East Japan Earthquake","year":2018,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":325,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Natural disaster; Seismology; Geography; Geology; Meteorology","authors":[{"name":"Chie Hanaoka","is_ca":false},{"name":"Hitoshi Shigeoka","is_ca":true},{"name":"Yasutora Watanabe","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1746640953632861,"gpt":0.3562616397659082,"spread":0.1815975444026221,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00151796,0.0001621914,0.0003040748,0.0004839746,0.0003743143,0.000939107,0.0004808964,0.0008594369,0.005372489],"category_scores_gemma":[0.009598512,0.0002280961,0.000338401,0.001042936,0.0007497901,0.0007248065,0.0006999779,0.0009297932,0.0006800272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002354795,"about_ca_system_score_gemma":0.0001786142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01256563,"about_ca_topic_score_gemma":0.01362143,"domain_scores_codex":[0.999421,0.000247173,0.00005165501,0.0001026494,0.00007649048,0.0001009887],"domain_scores_gemma":[0.9875339,0.004423015,0.005572042,0.0009606818,0.0006406562,0.0008696652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001303436,0.0003110564,0.9743068,0.0001323341,0.0003844988,0.0002945756,0.001892472,0.000288913,0.0003540757,0.0006220562,0.001764629,0.01834525],"study_design_scores_gemma":[0.00001864904,0.00005316236,0.9981014,0.00001099915,0.00004163888,0.00003702249,0.0007174814,0.00008109639,0.00003760526,0.0002886612,0.0006056105,0.000006642129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957064,0.0007210959,0.00006396015,0.001045351,0.00001411514,0.000003832876,0.0003908363,0.000001756566,0.00205265],"genre_scores_gemma":[0.9984059,0.0005787385,0.00003956617,0.0002456817,0.00002398755,0.000003640037,0.0003628928,0.000001536251,0.0003381638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01256563,"threshold_uncertainty_score":0.02498502,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2103086757","doi":"10.1257/app.2.3.96","title":"Do Temporary-Help Jobs Improve Labor Market Outcomes for Low-Skilled Workers? Evidence from “Work First”","year":2010,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":222,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Earnings; Labour economics; Welfare; Quarter (Canadian coin); Business; Work (physics); Economics; Finance","authors":[{"name":"David Autor","is_ca":false},{"name":"Susan N. Houseman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02301960748451684,"gpt":0.326093923651393,"spread":0.3030743161668762,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001922722,0.0002476856,0.0005113166,0.0004742764,0.0005957116,0.0007562718,0.0007183987,0.001293213,0.007720973],"category_scores_gemma":[0.006353975,0.0002338043,0.001039426,0.0004530775,0.0007185336,0.0004071906,0.0007659321,0.0007971016,0.000697808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004390797,"about_ca_system_score_gemma":0.000680185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006728701,"about_ca_topic_score_gemma":0.01496034,"domain_scores_codex":[0.9992688,0.0003620913,0.00003575028,0.00008350834,0.00007030552,0.0001795465],"domain_scores_gemma":[0.9939246,0.001983137,0.002097143,0.0004613682,0.0002237659,0.001309973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03722331,0.015438,0.7442162,0.001368612,0.002441583,0.0005214054,0.0009321702,0.0009290967,0.001944771,0.0007646613,0.005494166,0.188726],"study_design_scores_gemma":[0.001159193,0.008001808,0.9878884,0.0001773071,0.0005304093,0.00005578524,0.0003784684,0.0001520389,0.0002457127,0.0003024524,0.001096375,0.00001191831],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948454,0.002038937,0.0000468216,0.0009252708,0.00005580618,0.00003586197,0.0003099591,0.000008881007,0.001733023],"genre_scores_gemma":[0.9967739,0.001223509,0.0001025625,0.0004774964,0.00007707922,0.00002452138,0.0002795291,0.000002894011,0.00103837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007720973,"threshold_uncertainty_score":0.02582926,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2526265550","doi":"10.1257/app.20150149","title":"The Impact of High School Financial Education: Evidence from a Large-Scale Evaluation in Brazil","year":2016,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":209,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Scale (ratio); Finance; Control (management); Business; Psychology; Economics; Geography; Management; Cartography","authors":[{"name":"Miriam Bruhn","is_ca":false},{"name":"Luciana de Souza Leão","is_ca":false},{"name":"Arianna Legovini","is_ca":false},{"name":"Rogelio Marchetti","is_ca":false},{"name":"Bilal Zia","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009501170727606317,"gpt":0.2578896308518531,"spread":0.2483884601242468,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007919215,0.0005624458,0.001284701,0.0005897021,0.0007708442,0.0009596128,0.0008217287,0.001220364,0.004870929],"category_scores_gemma":[0.02318936,0.0003239463,0.001511663,0.001053529,0.001541583,0.0006443752,0.0008405758,0.001049459,0.0003219647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001732991,"about_ca_system_score_gemma":0.004180558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01258578,"about_ca_topic_score_gemma":0.02266202,"domain_scores_codex":[0.9931471,0.004788555,0.0004176821,0.0005947728,0.0007004558,0.000351524],"domain_scores_gemma":[0.9811342,0.009848111,0.004544341,0.001351632,0.001342187,0.001779513],"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":[0.1458578,0.1148459,0.07258521,0.02381155,0.01062921,0.0003390415,0.002461357,0.002331667,0.003622439,0.002326782,0.007680541,0.6135086],"study_design_scores_gemma":[0.2864448,0.3328491,0.3250605,0.013564,0.01464009,0.0002688295,0.002112965,0.001880719,0.00433646,0.002763589,0.01593205,0.0001468815],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669774,0.01703779,0.001016699,0.003325901,0.0003456224,0.004093024,0.00116675,0.0000871588,0.005949666],"genre_scores_gemma":[0.992268,0.004122931,0.0009229577,0.0007553006,0.0000980283,0.001148595,0.0002465118,0.000008750183,0.0004288323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01258578,"threshold_uncertainty_score":0.04188126,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2799690146","doi":"10.1257/app.20170223","title":"Temperature and Decisions: Evidence from 207,000 Court Cases","year":2019,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":191,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Risk appetite; Adjudication; Immigration; Mood; Public economics; Confounding; Cognition; Demographic economics; Psychology; Political science; Economics; Actuarial science; Social psychology; Law; Finance; Risk management; Statistics; Mathematics","authors":[{"name":"Anthony Heyes","is_ca":true},{"name":"Soodeh Saberian","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03035428142448344,"gpt":0.2701255984997801,"spread":0.2397713170752966,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005263835,0.0003364728,0.000621293,0.002698938,0.001500609,0.002484702,0.001419577,0.001491321,0.005371205],"category_scores_gemma":[0.04868764,0.0006135167,0.000842837,0.006946226,0.001451824,0.001149291,0.001710991,0.002326283,0.001794993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014819,"about_ca_system_score_gemma":0.0008925811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03173058,"about_ca_topic_score_gemma":0.04078112,"domain_scores_codex":[0.9897845,0.004623307,0.001151672,0.001154597,0.002261754,0.001024015],"domain_scores_gemma":[0.8535309,0.06304743,0.07179998,0.004094869,0.004796555,0.002730307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007196064,0.0004421658,0.9829165,0.000156632,0.0007623034,0.0005536529,0.0007312339,0.001117163,0.00006406972,0.0004478742,0.005709173,0.006379584],"study_design_scores_gemma":[0.0001154712,0.0002010029,0.9916114,0.0001559907,0.0003933251,0.0003662189,0.001882952,0.00124796,0.0002072476,0.0005518611,0.00323318,0.00003352727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908709,0.001969479,0.0001786105,0.000653623,0.00003618878,0.00003107974,0.003477315,0.000006257062,0.00277656],"genre_scores_gemma":[0.9944977,0.001214365,0.0001025878,0.0002387551,0.00009168942,0.00003210796,0.003117183,0.000007509915,0.0006981969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03173058,"threshold_uncertainty_score":0.06309181,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2024570877","doi":"10.1257/app.4.2.274","title":"Castes and Labor Mobility","year":2012,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Social and Economic Development in India","field":"Social Sciences","cited_by":178,"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":"Consumption (sociology); Wage; Disadvantaged; Demographic economics; Convergence (economics); Economics; Educational attainment; Sample (material); Labour economics; Distribution (mathematics); Survey sampling; Demography; Economic growth; Sociology; Population; Social science; Mathematics","authors":[{"name":"Viktoria Hnatkovska","is_ca":true},{"name":"Amartya Lahiri","is_ca":true},{"name":"Sourabh Paul","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01306875409603707,"gpt":0.2581152186984292,"spread":0.2450464646023921,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002729677,0.0001506827,0.000194933,0.001617983,0.001063955,0.001094041,0.0003087625,0.0001953444,0.005165197],"category_scores_gemma":[0.001411905,0.00008369701,0.0001837127,0.002178199,0.0009906037,0.0003756291,0.001398144,0.0003453944,0.0004123431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005906935,"about_ca_system_score_gemma":0.0004251338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02998205,"about_ca_topic_score_gemma":0.06207111,"domain_scores_codex":[0.99965,0.00007654523,0.00001150983,0.00003303195,0.00004269474,0.0001861789],"domain_scores_gemma":[0.9990337,0.0001940606,0.0004110665,0.00005272676,0.00005325806,0.0002551642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008974877,0.00004213912,0.9576998,0.00005831699,0.00008704433,0.0003294541,0.005349282,0.001412424,0.0003320542,0.0149271,0.0008432633,0.01882947],"study_design_scores_gemma":[0.000005910247,0.00003355739,0.9838303,0.00007839761,0.00002344985,0.0001669601,0.006523177,0.0007803919,0.00007051638,0.003683824,0.004793724,0.000009675243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991313,0.0009335015,0.0001269365,0.0003849117,0.000008042459,0.000003814872,0.0002075236,0.000004193119,0.007018094],"genre_scores_gemma":[0.9991906,0.0001834964,0.00003218557,0.00001121349,0.000007056416,0.000001231359,0.00005874543,6.470501e-7,0.0005149694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02998205,"threshold_uncertainty_score":0.05961508,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2089543673","doi":"10.1257/app.4.2.168","title":"Productivity Spillovers Across Firms through Worker Mobility","year":2012,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":169,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Productivity; Danish; Labour economics; Variety (cybernetics); Business; Economics; Demographic economics; Economic growth","authors":[{"name":"Andrey Stoyanov","is_ca":true},{"name":"Nick Zubanov","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02128535835941265,"gpt":0.2482743266165813,"spread":0.2269889682571687,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001160929,0.0001827187,0.0003684867,0.001877055,0.0003648667,0.001282149,0.0003436084,0.0004935379,0.003265686],"category_scores_gemma":[0.006728195,0.0002048646,0.0003935623,0.002328695,0.0004675216,0.0007115494,0.001499286,0.0004634342,0.0005012531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009003798,"about_ca_system_score_gemma":0.0003800731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02231793,"about_ca_topic_score_gemma":0.02400292,"domain_scores_codex":[0.9990753,0.0001963761,0.00007044337,0.0002356086,0.0001428559,0.0002794639],"domain_scores_gemma":[0.992911,0.002667581,0.003279085,0.0004432459,0.0002980055,0.000401051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002343629,0.0000924212,0.9643521,0.00009840438,0.0002606501,0.0003053222,0.001121023,0.006068392,0.0008744095,0.003199641,0.001428131,0.02196513],"study_design_scores_gemma":[0.0000117377,0.00004562381,0.9942926,0.0000256414,0.00005145547,0.00005903839,0.0006008784,0.002169671,0.0002021904,0.001246187,0.001281626,0.0000133992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947365,0.0006561225,0.001071125,0.0002027239,0.000007384554,0.0000158118,0.001432285,0.00001569373,0.001862478],"genre_scores_gemma":[0.9984889,0.0001731192,0.0001207982,0.00001209858,0.000009441621,0.00000514956,0.0006333968,0.00000106755,0.0005561241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02231793,"threshold_uncertainty_score":0.04437608,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1964514031","doi":"10.1257/app.3.1.239","title":"Caste as an Impediment to Trade","year":2011,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Culture, Economy, and Development Studies","field":"Social Sciences","cited_by":153,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Caste; Agriculture; Socioeconomics; Geography; Demographic economics; Sociology; Economics; Political science; Archaeology","authors":[{"name":"Siwan Anderson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0328845974454124,"gpt":0.277954458628436,"spread":0.2450698611830237,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000586457,0.0001383684,0.0002696945,0.0008368528,0.001736503,0.001965068,0.0004058703,0.0003231773,0.009402956],"category_scores_gemma":[0.003120581,0.00009860603,0.0002174619,0.001059585,0.001690106,0.0004825311,0.002355698,0.0006727428,0.0004703458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006194451,"about_ca_system_score_gemma":0.0006928674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01213667,"about_ca_topic_score_gemma":0.0222901,"domain_scores_codex":[0.9990042,0.0003343487,0.00002369645,0.00006541987,0.0001340392,0.0004382796],"domain_scores_gemma":[0.9964055,0.0008857679,0.001544967,0.0001848122,0.0001426607,0.0008363284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004938584,0.000188673,0.9636531,0.0000887911,0.00009147039,0.001066656,0.004714253,0.000966343,0.001329505,0.01258086,0.000921715,0.01390467],"study_design_scores_gemma":[0.00003019991,0.0001976424,0.9827502,0.00005523395,0.00005210453,0.0004013076,0.0090852,0.0008130514,0.0002703799,0.003307742,0.003021335,0.00001562598],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913837,0.0001653646,0.00008994013,0.0003285133,0.000005788181,0.000004823774,0.00008777678,0.000004510983,0.007929555],"genre_scores_gemma":[0.9995646,0.00003051783,0.00001383746,0.00001485825,0.000003388142,7.908328e-7,0.00001835475,6.456492e-7,0.0003531219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01213667,"threshold_uncertainty_score":0.03145605,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W653542324","doi":"10.1257/app.20160510","title":"Why Has Urban Inequality Increased?","year":2018,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":145,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Complementarity (molecular biology); Wage inequality; Inequality; Economies of agglomeration; Context (archaeology); Wage; Capital (architecture); Labour economics; Microeconomics; Geography","authors":[{"name":"Nathaniel Brandt Baum-Snow","is_ca":true},{"name":"Matthew Freedman","is_ca":false},{"name":"Ronni Pavan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02802002293602031,"gpt":0.2141558799861073,"spread":0.186135857050087,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001089599,0.0002474602,0.0004835132,0.001456043,0.001262904,0.003160054,0.0005774491,0.001832263,0.01149837],"category_scores_gemma":[0.004350727,0.0002661191,0.0004036641,0.004215628,0.002423546,0.004131107,0.002326556,0.002418279,0.0008507436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003370504,"about_ca_system_score_gemma":0.001340813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03259522,"about_ca_topic_score_gemma":0.03458785,"domain_scores_codex":[0.9989826,0.0001729244,0.00005086154,0.000269628,0.0001518189,0.0003721254],"domain_scores_gemma":[0.997578,0.0005105528,0.0006103939,0.0001718632,0.000632652,0.0004965425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000469047,0.0001791901,0.5288513,0.001483879,0.0003170439,0.001086581,0.007213942,0.00165401,0.001102764,0.1217992,0.07934701,0.256496],"study_design_scores_gemma":[0.00003441126,0.00009305478,0.7812882,0.001064719,0.00007468424,0.0005512779,0.01209363,0.000769417,0.000595719,0.02914849,0.1742239,0.00006239935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5720618,0.04387445,0.001323265,0.3272933,0.002592223,0.00002803754,0.004837988,0.0001212129,0.04786775],"genre_scores_gemma":[0.9755617,0.008917124,0.000259932,0.009394633,0.002446732,0.00001976011,0.000948083,0.00003711992,0.002415016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03259522,"threshold_uncertainty_score":0.06481099,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2132629741","doi":"10.1257/app.1.1.136","title":"Incentives and Services for College Achievement: Evidence from a Randomized Trial","year":2007,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":137,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Canadian Institute for Advanced Research; University of Toronto","funders":"Canada Millennium Scholarship Foundation","keywords":"Incentive; Psychological intervention; Treatment and control groups; Psychology; Service (business); Randomized experiment; Medical education; Medicine; Business; Economics; Marketing","authors":[{"name":"Joshua D. Angrist","is_ca":false},{"name":"Daniel W. Lang","is_ca":true},{"name":"Philip Oreopoulos","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02031240050624864,"gpt":0.3457948227374873,"spread":0.3254824222312386,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01565604,0.001475518,0.003793524,0.001351058,0.001365568,0.002144801,0.001676988,0.005656064,0.01463429],"category_scores_gemma":[0.04968792,0.0009679027,0.003933572,0.001854645,0.003229247,0.002204744,0.001125965,0.00383264,0.001051143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001991761,"about_ca_system_score_gemma":0.003596665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004371639,"about_ca_topic_score_gemma":0.004056836,"domain_scores_codex":[0.9723176,0.02271157,0.001654475,0.001254012,0.001362208,0.000700102],"domain_scores_gemma":[0.9507113,0.03756919,0.00621903,0.001852786,0.0008215468,0.002826049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9279382,0.01300581,0.001740698,0.006205132,0.006849391,0.00005335763,0.000111519,0.0004991152,0.0002785725,0.000786089,0.001533535,0.04099856],"study_design_scores_gemma":[0.9445326,0.04633762,0.001732922,0.001028229,0.003015477,0.00002949722,0.00007122148,0.0006319087,0.000230252,0.001028909,0.001325586,0.00003584511],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8462433,0.1016457,0.004591526,0.007676849,0.007175246,0.01916757,0.002116807,0.000432739,0.01095025],"genre_scores_gemma":[0.9559457,0.02122027,0.005216817,0.003023457,0.002042372,0.009659377,0.0005411151,0.0000539169,0.002297098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01565604,"threshold_uncertainty_score":0.08279806,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3146215982","doi":"10.1257/app.20190081","title":"The Political Impact of Immigration: Evidence from the United States","year":2021,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":110,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Bank of Canada","funders":"","keywords":"Immigration; Politics; Demographic economics; Race (biology); Economics; Political science; Sociology; Law","authors":[{"name":"Anna Maria Mayda","is_ca":false},{"name":"Giovanni Peri","is_ca":false},{"name":"Walter Steingress","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01599943017132727,"gpt":0.2995709668121143,"spread":0.283571536640787,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009095494,0.000174296,0.0003338534,0.00121039,0.0004974667,0.001053877,0.000273458,0.0003036043,0.003337043],"category_scores_gemma":[0.00389858,0.0001529631,0.0003772736,0.002302908,0.0004644421,0.0003580632,0.001292606,0.0005273058,0.0005879976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003481748,"about_ca_system_score_gemma":0.0004167953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04086028,"about_ca_topic_score_gemma":0.07449847,"domain_scores_codex":[0.9993383,0.0002541618,0.00005294462,0.0000953747,0.0001170698,0.0001421297],"domain_scores_gemma":[0.9953955,0.001255997,0.002166761,0.0002077471,0.0005827564,0.0003912543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000310861,0.0001230069,0.9732537,0.0001727312,0.0002432142,0.0001650224,0.0009390663,0.0005644662,0.000204605,0.000774654,0.006034212,0.01721447],"study_design_scores_gemma":[0.00001553454,0.00006339709,0.9934407,0.00007431463,0.00008200798,0.000041305,0.001491388,0.0002122778,0.0001151127,0.00008599061,0.004370782,0.000007177008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879962,0.002705501,0.0001114211,0.0008719196,0.00006402323,0.000005988599,0.001378434,0.000007735217,0.006858696],"genre_scores_gemma":[0.9950945,0.001788136,0.00005365071,0.0001727025,0.00007465659,0.000005429723,0.001816661,0.000005821561,0.0009883496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04086028,"threshold_uncertainty_score":0.08124495,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2753757639","doi":"10.1257/app.20180438","title":"Taken by Storm: Hurricanes, Migrant Networks, and US Immigration","year":2020,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":109,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Immigration; Storm; Quarter (Canadian coin); Natural disaster; Climate change; Demographic economics; Development economics; Political science; Geography; Economic geography; Economics; Geology; Meteorology","authors":[{"name":"Parag Mahajan","is_ca":false},{"name":"Dean Yang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03158499010678276,"gpt":0.2447908367431205,"spread":0.2132058466363378,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006140767,0.0002485737,0.0003114913,0.0007270142,0.001320033,0.002006097,0.0004324122,0.0009023521,0.008195495],"category_scores_gemma":[0.00427032,0.00009557564,0.0003734526,0.001183743,0.0008252343,0.00148979,0.001087964,0.0008278066,0.0003968299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001113632,"about_ca_system_score_gemma":0.0007682175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04442302,"about_ca_topic_score_gemma":0.06045266,"domain_scores_codex":[0.9997198,0.0001279353,0.00001793801,0.00004346564,0.00004459235,0.00004620821],"domain_scores_gemma":[0.998216,0.0003545231,0.0006850833,0.00007626991,0.0001899829,0.0004780668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003211285,0.0002489602,0.8505141,0.0002015296,0.0003447944,0.0009595202,0.005123083,0.002660476,0.0002736649,0.01849433,0.03890133,0.08195705],"study_design_scores_gemma":[0.00003945611,0.0002628389,0.8892327,0.0006754674,0.0002982761,0.0004583812,0.03696071,0.002512048,0.0002691231,0.02037918,0.04884608,0.00006577237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8822563,0.01184805,0.0003132494,0.06264619,0.0009076237,0.00001974397,0.001304649,0.000029452,0.04067465],"genre_scores_gemma":[0.9882854,0.004730243,0.0001068707,0.00238255,0.0005229923,0.00001035287,0.0004338964,0.000007916349,0.003519799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04442302,"threshold_uncertainty_score":0.0883289,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3109947660","doi":"10.1257/app.2.2.95","title":"Ability, Gender, and Performance Standards: Evidence from Academic Probation","year":2010,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"School Choice and Performance","field":"Social Sciences","cited_by":107,"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":"Graduation (instrument); Regression discontinuity design; Context (archaeology); Psychology; Academic achievement; Mathematics education; Medical education; Medicine; Statistics; Engineering; Geography; Mathematics","authors":[{"name":"Jason M. Lindo","is_ca":false},{"name":"Nicholas Sanders","is_ca":false},{"name":"Philip Oreopoulos","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02850681914016992,"gpt":0.3084753230234676,"spread":0.2799685038832977,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008291838,0.0002508037,0.0006447905,0.001663344,0.0008241554,0.001722482,0.001706971,0.001181269,0.007890405],"category_scores_gemma":[0.05842138,0.0002976901,0.0005973371,0.002529507,0.001577146,0.0008154806,0.002307178,0.001560087,0.001103769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005655627,"about_ca_system_score_gemma":0.000660073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01146844,"about_ca_topic_score_gemma":0.009430689,"domain_scores_codex":[0.9937549,0.003664184,0.0003446551,0.0006658259,0.0009803096,0.0005901909],"domain_scores_gemma":[0.8930594,0.05547277,0.03588329,0.006534151,0.003190834,0.00585956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005499117,0.0004788371,0.9902359,0.00002297017,0.0001375375,0.00007465258,0.001101681,0.0001753454,0.0001088471,0.0007031502,0.0003937203,0.006017421],"study_design_scores_gemma":[0.00002323885,0.0002977601,0.996959,0.00001878038,0.00005630191,0.00005174251,0.0009316801,0.000460047,0.0001180203,0.0004769715,0.0005963218,0.00001021587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971981,0.0003147078,0.0002552685,0.0002743081,0.0000125264,0.00000982214,0.0002745716,0.000004513066,0.001656329],"genre_scores_gemma":[0.9987941,0.00009299375,0.00009384376,0.00007323336,0.00001192348,0.00001180191,0.0002986039,0.000004459172,0.0006190457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01146844,"threshold_uncertainty_score":0.04385197,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3047210581","doi":"10.1257/app.20190091","title":"Air Pollution and Criminal Activity: Microgeographic Evidence from Chicago","year":2021,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Wildlife Conservation and Criminology Analyses","field":"Environmental Science","cited_by":107,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba; University of Ottawa","funders":"","keywords":"Air pollution; Geolocation; Pollution; Environmental science; Criminology; Psychology; Computer science; Ecology","authors":[{"name":"Evan Herrnstadt","is_ca":false},{"name":"Anthony Heyes","is_ca":true},{"name":"Erich Muehlegger","is_ca":false},{"name":"Soodeh Saberian","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02036920159855715,"gpt":0.2336132360930515,"spread":0.2132440344944943,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002229091,0.0001710211,0.0001626937,0.002251738,0.0009000186,0.001020494,0.0003404696,0.0003898617,0.00260074],"category_scores_gemma":[0.001142577,0.0002117375,0.0001314441,0.004161406,0.0008398852,0.0003739749,0.001262988,0.0003881519,0.0003617057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008155544,"about_ca_system_score_gemma":0.0005867506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1739514,"about_ca_topic_score_gemma":0.2970457,"domain_scores_codex":[0.9997653,0.0000866578,0.00001523692,0.00004947139,0.00003635151,0.00004687485],"domain_scores_gemma":[0.9981906,0.000371455,0.0007419445,0.00009217185,0.0003135637,0.000290376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000319883,0.00003079357,0.9955706,0.00001747033,0.00002413981,0.0000560269,0.0008738644,0.0001161629,0.00008796543,0.00008600386,0.0008793577,0.002225774],"study_design_scores_gemma":[0.000002652694,0.00001666982,0.9964412,0.00002127701,0.00001298476,0.00002839721,0.002411321,0.0001713059,0.00003365236,0.00005275666,0.000803557,0.000004162895],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968902,0.0002972448,0.00007075429,0.0002158466,0.000005465036,0.000006578018,0.0009878647,0.000005408103,0.001520615],"genre_scores_gemma":[0.9978682,0.0004323291,0.0000971862,0.00006365013,0.00002111543,0.00001449083,0.0009825671,0.00000536546,0.0005150863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1739514,"threshold_uncertainty_score":0.3458779,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2129401100","doi":"10.1257/app.6.2.178","title":"Do Male-Female Wage Differentials Reflect Differences in the Return to Skill? Cross-City Evidence from 1980–2000","year":2014,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":98,"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":"Wage; Economics; Labour economics; Wage growth; Gender gap; Demographic economics","authors":[{"name":"Paul Beaudry","is_ca":true},{"name":"Ethan Lewis","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03758398408137164,"gpt":0.2716553536260957,"spread":0.2340713695447241,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001025742,0.0001466874,0.0002941248,0.001251253,0.0003051665,0.0005834978,0.0004227029,0.0004943216,0.005807753],"category_scores_gemma":[0.003394612,0.0001679465,0.0002621038,0.001880892,0.000542506,0.0006342029,0.0005652296,0.0006503676,0.000843879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004772391,"about_ca_system_score_gemma":0.0002521023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03816077,"about_ca_topic_score_gemma":0.06333753,"domain_scores_codex":[0.9996252,0.00005119852,0.00003025478,0.0001292423,0.00007281609,0.00009120501],"domain_scores_gemma":[0.9963456,0.0007130225,0.001942363,0.0002267461,0.0004878981,0.000284403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002060141,0.00006994814,0.9784967,0.00008769939,0.0001218987,0.00006721716,0.001066365,0.0002978478,0.0005762444,0.001254629,0.002332346,0.01542309],"study_design_scores_gemma":[0.000002759813,0.0000147055,0.9985045,0.000009332401,0.000008287026,0.000008957242,0.000328831,0.00007623253,0.00009082351,0.0000675632,0.0008861418,0.000001800871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912652,0.001031569,0.0003325627,0.001200315,0.00002265779,0.000008090179,0.002340732,0.000009142866,0.003789687],"genre_scores_gemma":[0.9971868,0.0003462587,0.00006141239,0.0001651895,0.00002719413,0.000004395185,0.001242931,0.000003787708,0.000962089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03816077,"threshold_uncertainty_score":0.07587731,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2893610245","doi":"10.1257/app.20160556","title":"The Effect of Terrorism on Employment and Consumer Sentiment: Evidence from Successful and Failed Terror Attacks","year":2018,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":87,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"Agence Nationale de la Recherche","keywords":"Terrorism; Earnings; Pessimism; Affect (linguistics); Media coverage; Randomness; Economics; Business; Advertising; Political science; Psychology; Finance; Sociology","authors":[{"name":"Abel Brodeur","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01034686358421694,"gpt":0.2920645608981984,"spread":0.2817176973139815,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001050923,0.0002131559,0.0003227016,0.0008699844,0.0007353479,0.001384201,0.0003198262,0.0007952736,0.004181057],"category_scores_gemma":[0.007003981,0.0002090632,0.0003602854,0.001270438,0.001064352,0.0006312789,0.001086632,0.001026497,0.0008531513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003779728,"about_ca_system_score_gemma":0.0001981033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01066152,"about_ca_topic_score_gemma":0.01453817,"domain_scores_codex":[0.9994252,0.0002344883,0.00003912834,0.00005901969,0.0001158057,0.0001264907],"domain_scores_gemma":[0.9861509,0.005454353,0.006088941,0.0006202923,0.0007880363,0.0008975041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006001447,0.0003720786,0.9896446,0.00003906298,0.0002009644,0.0001957858,0.001424465,0.0002676526,0.0003795454,0.0002877239,0.0009689092,0.005618959],"study_design_scores_gemma":[0.00001008086,0.000110169,0.9971954,0.000009410614,0.00003372569,0.00003742458,0.001830158,0.0001473028,0.00008751357,0.00007709079,0.0004561769,0.000005594742],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979106,0.0001143183,0.00002224145,0.0001824106,0.000005548741,0.000004530902,0.000200815,7.732048e-7,0.001558762],"genre_scores_gemma":[0.9989945,0.0002161898,0.00001831289,0.00005269951,0.00002465719,0.000004567293,0.000351034,0.000001678432,0.0003364289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01066152,"threshold_uncertainty_score":0.02119893,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2082135825","doi":"10.1257/app.1.1.251","title":"The Social Multiplier and Labor Market Participation of Mothers","year":2009,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":84,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Instrumental variable; Economics; Composition (language); Demographic economics; Labour economics; Geography; Econometrics","authors":[{"name":"Éric Maurin","is_ca":false},{"name":"Julie Moschion","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01037562579555499,"gpt":0.26655525160032,"spread":0.2561796258047649,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007028553,0.0001191046,0.0001600318,0.0004735513,0.0003358172,0.0004754927,0.0001702723,0.0001902246,0.006745217],"category_scores_gemma":[0.003223559,0.00007327042,0.0001115333,0.0003270622,0.000322954,0.0002023172,0.0005223938,0.0001800999,0.0003167396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005949649,"about_ca_system_score_gemma":0.0003093976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005070427,"about_ca_topic_score_gemma":0.006736259,"domain_scores_codex":[0.9996623,0.0001589308,0.00000880094,0.00003756663,0.00005823264,0.00007416349],"domain_scores_gemma":[0.9985594,0.0005811963,0.0005554266,0.00006200834,0.00006780149,0.0001740879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001223051,0.0001044288,0.9729418,0.00001634297,0.00004325562,0.0002186398,0.001594711,0.0005662694,0.0009869875,0.004237037,0.0003469003,0.01882141],"study_design_scores_gemma":[0.00000811975,0.00006886888,0.9945269,0.00001443892,0.000009627171,0.0001022815,0.001460382,0.000764057,0.0002183128,0.001376293,0.001446917,0.000003861874],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998176,0.00006087649,0.0001198313,0.000129064,0.000001848155,0.000002766276,0.0000581373,0.000001527543,0.001449967],"genre_scores_gemma":[0.9991089,0.00004707525,0.00004619855,0.00001098828,0.000004247076,0.000003668912,0.00003543389,5.98713e-7,0.0007429852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006745217,"threshold_uncertainty_score":0.02256501,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3124753991","doi":"10.1257/app.20210141","title":"Pay Transparency and the Gender Gap","year":2023,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Memorial University of Newfoundland; Statistics Canada; University of Toronto","funders":"","keywords":"Salary; Transparency (behavior); Gender pay gap; Demographic economics; Exploit; Political science; Business; Accounting; Public administration; Labour economics; Economics; Law; Wage; Computer science","authors":[{"name":"Michael Baker","is_ca":false},{"name":"Yosh Halberstam","is_ca":true},{"name":"Kory Kroft","is_ca":false},{"name":"Alexandre Mas","is_ca":false},{"name":"Derek Messacar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03884637752631007,"gpt":0.2198770615235214,"spread":0.1810306839972113,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002310124,0.0001433554,0.0002668259,0.001149142,0.001988031,0.001786909,0.0006015025,0.000725428,0.007107753],"category_scores_gemma":[0.01322671,0.0001082072,0.0002738412,0.00168126,0.002226068,0.0006884657,0.001623733,0.001299283,0.0003477932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009528019,"about_ca_system_score_gemma":0.01379847,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7164188,"about_ca_topic_score_gemma":0.7423901,"domain_scores_codex":[0.9977961,0.0003295722,0.00004990785,0.0001609675,0.0007884454,0.0008749191],"domain_scores_gemma":[0.9870812,0.004510351,0.00512343,0.0003949038,0.001446457,0.001443612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000338834,0.0001902048,0.8717803,0.00009042639,0.00009326889,0.000321408,0.00875618,0.001743338,0.0003885826,0.04415834,0.01062481,0.06151427],"study_design_scores_gemma":[0.00003154329,0.00006622401,0.9639747,0.0001668015,0.00005278297,0.0001437861,0.007503773,0.001924338,0.0005178739,0.009882868,0.01570951,0.0000257666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566321,0.003792045,0.0004961278,0.01156834,0.00009292026,0.0000156665,0.001227228,0.00001998771,0.02615558],"genre_scores_gemma":[0.9979779,0.0002936119,0.00004863987,0.0002524004,0.00001979163,0.000002279795,0.0001223954,0.000003165387,0.001279857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7164188,"threshold_uncertainty_score":0.5705025,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2034506714","doi":"10.1257/app.5.4.92","title":"Deterrence and Geographical Externalities in Auto Theft","year":2013,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Deterrence (psychology); Externality; Deterrence theory; Displacement (psychology); Business; Criminology; Economics; Computer security; Public economics; Political science; Law and economics; Computer science; Microeconomics; Sociology; Law; Psychology","authors":[{"name":"Marco Gonzalez-Navarro","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01424777908484442,"gpt":0.2753825469851173,"spread":0.2611347679002728,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004696102,0.000119754,0.0001796163,0.0006939324,0.0004386824,0.0008668635,0.0002612488,0.0003926366,0.006168738],"category_scores_gemma":[0.004050619,0.0001628098,0.0001563066,0.0006089191,0.001519245,0.0006330292,0.001696916,0.0004760891,0.0002021335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008934712,"about_ca_system_score_gemma":0.0003487869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00824503,"about_ca_topic_score_gemma":0.01298722,"domain_scores_codex":[0.9994059,0.0002488848,0.00003973557,0.00007498592,0.0001073257,0.0001231386],"domain_scores_gemma":[0.9964679,0.0007429938,0.002187773,0.0001630731,0.0002413188,0.0001968727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002525187,0.0005212094,0.8688093,0.0001057904,0.0001483178,0.0007300425,0.001654743,0.02088622,0.001013002,0.05329789,0.001409732,0.05117126],"study_design_scores_gemma":[0.00002490763,0.0002818038,0.9598138,0.0000771906,0.00004812453,0.0004925875,0.005983169,0.01099502,0.0006279745,0.01516846,0.006465614,0.00002124266],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895531,0.0001736436,0.0006736513,0.0003771283,0.000004268019,0.00001619065,0.0000592404,0.000003792508,0.009139008],"genre_scores_gemma":[0.9993529,0.00007266543,0.00004322344,0.00001160777,0.000002639175,0.000002719915,0.00001645828,5.337414e-7,0.0004972717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00824503,"threshold_uncertainty_score":0.02063644,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1572943945","doi":"10.1257/app.2.4.150","title":"School Competition and Efficiency with Publicly Funded Catholic Schools","year":2010,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"School Choice and Performance","field":"Social Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"McMaster University","funders":"","keywords":"Competition (biology); Test (biology); Standard deviation; Mathematics education; Demographic economics; Economics; Psychology; Statistics; Mathematics","authors":[{"name":"David Card","is_ca":false},{"name":"Martin Dooley","is_ca":true},{"name":"A. Abigail Payne","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007680014105312581,"gpt":0.2424119191858829,"spread":0.2347319050805703,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002273058,0.0003151303,0.0008567211,0.000960822,0.002780613,0.003279795,0.001188032,0.001212264,0.005772023],"category_scores_gemma":[0.01005485,0.000332079,0.0005124467,0.002182131,0.003976717,0.001251669,0.001985929,0.0009920587,0.0003123394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02802074,"about_ca_system_score_gemma":0.01226773,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6851125,"about_ca_topic_score_gemma":0.7932493,"domain_scores_codex":[0.9961448,0.001102941,0.00009242382,0.0003646763,0.0005368672,0.001758396],"domain_scores_gemma":[0.9866928,0.003893986,0.004249495,0.0004668738,0.0009973933,0.003699325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007085825,0.0008517095,0.9146103,0.00007919112,0.0002337437,0.0002842544,0.002896489,0.03486482,0.0007709854,0.0305733,0.003146953,0.01097971],"study_design_scores_gemma":[0.0003146036,0.0004142159,0.9377996,0.00005593083,0.00008162737,0.00008033198,0.007861554,0.03789731,0.0003809849,0.01190251,0.003155343,0.00005589857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958851,0.00009770289,0.0002082633,0.0003292294,0.00000198655,0.00001233528,0.00009054776,0.000003666296,0.003371092],"genre_scores_gemma":[0.9994604,0.00001796728,0.0000385499,0.00001441032,0.000001813152,0.000003811675,0.00003930461,0.000001051546,0.0004227358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6851125,"threshold_uncertainty_score":0.6334838,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2581218977","doi":"10.1257/app.20180574","title":"One in a Million: Field Experiments on Perceived Closeness of the Election and Voter Turnout","year":2020,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Washington Center for Equitable Growth; National Science Foundation","keywords":"Closeness; Turnout; Race (biology); Voter turnout; General election; Field (mathematics); Social psychology; Political science; Demographic economics; Econometrics; Psychology; Voting; Economics; Sociology; Mathematics; Politics; Gender studies; Law","authors":[{"name":"Alan S. Gerber","is_ca":false},{"name":"Mitchell Hoffman","is_ca":true},{"name":"John Morgan","is_ca":false},{"name":"Collin Raymond","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03149213850254554,"gpt":0.2936974513371406,"spread":0.262205312834595,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006200892,0.0008369516,0.0008835075,0.0004500083,0.001753188,0.00188731,0.001197567,0.001897041,0.02419841],"category_scores_gemma":[0.01317021,0.0008305233,0.0004420819,0.0004071483,0.001577051,0.001519531,0.001176581,0.0023314,0.002546777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004932734,"about_ca_system_score_gemma":0.0004477049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005566748,"about_ca_topic_score_gemma":0.0009056001,"domain_scores_codex":[0.9970783,0.00173592,0.0001763688,0.0005764144,0.0002142485,0.0002186484],"domain_scores_gemma":[0.9775083,0.01482707,0.003370875,0.002052412,0.0002964638,0.001944752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.1899094,0.4666426,0.08649994,0.002126043,0.00103103,0.0008392207,0.01350141,0.004382213,0.07149761,0.01947545,0.01582162,0.1282735],"study_design_scores_gemma":[0.05286726,0.5316221,0.3045587,0.0004989093,0.001211569,0.0006162602,0.00978017,0.02016947,0.01832152,0.03747607,0.02238651,0.0004915472],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948825,0.00004764047,0.0006066822,0.0002284092,0.00009044867,0.0003997353,0.0002069674,0.00003309962,0.003504637],"genre_scores_gemma":[0.9885452,0.00008976647,0.002738303,0.0006059362,0.0001056933,0.002329119,0.000262713,0.00001833426,0.005304839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02419841,"threshold_uncertainty_score":0.08095175,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2234661914","doi":"10.1257/app.20140135","title":"Understanding the Changing Structure of Scientific Inquiry","year":2015,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Frontier; Iron Curtain; Interpretation (philosophy); Political science; Population; Economic geography; Positive economics; Sociology; Geography; Economics; Demography; Cold war; Law; Philosophy; Linguistics","authors":[{"name":"Ajay Agrawal","is_ca":true},{"name":"Avi Goldfarb","is_ca":true},{"name":"Florenta Teodoridis","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.6496941265357059,"gpt":0.4880949494242701,"spread":0.1615991771114358,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.008474506,0.0001586973,0.0004739625,0.008370877,0.002765407,0.01088258,0.001479876,0.001618918,0.004783775],"category_scores_gemma":[0.06321865,0.0005061291,0.0002757958,0.007357529,0.01363193,0.02142813,0.005815202,0.002412577,0.001155463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0062094,"about_ca_system_score_gemma":0.004009174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004884692,"about_ca_topic_score_gemma":0.005996338,"domain_scores_codex":[0.9919426,0.003435181,0.0003605498,0.001762162,0.001904537,0.000594985],"domain_scores_gemma":[0.9512757,0.02948794,0.007763974,0.004255279,0.00449195,0.002725146],"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":[0.00016122,0.00009323296,0.1634649,0.0003061392,0.00006284864,0.0002450077,0.03275594,0.004097275,0.003449041,0.6454476,0.005304036,0.1446127],"study_design_scores_gemma":[0.00003635594,0.00005570271,0.1049306,0.0001845003,0.000018203,0.0001691864,0.01714075,0.0069081,0.0007008123,0.8369468,0.0328736,0.00003540551],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7792472,0.005518842,0.04457091,0.06292632,0.000216159,0.00008866639,0.0006859382,0.0002281207,0.1065178],"genre_scores_gemma":[0.989642,0.001108613,0.006658149,0.000611709,0.0001513867,0.00005155095,0.0002027372,0.0000365696,0.001537382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9916291,"threshold_uncertainty_score":0.04505259,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4297493297","doi":"10.1257/app.20200296","title":"Money and Politics: The Effects of Campaign Spending Limits on Political Entry and Competition","year":2022,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":56,"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; HEC Montréal","funders":"","keywords":"Politics; Competition (biology); Regression discontinuity design; Exploit; Economics; Identification (biology); Public economics; Political science","authors":[{"name":"Eric Avis","is_ca":true},{"name":"Claudio Ferraz","is_ca":true},{"name":"Frederico Finan","is_ca":false},{"name":"Carlos Varjão","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01352882600803747,"gpt":0.2695477967718125,"spread":0.2560189707637751,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001056002,0.0001588316,0.0004045075,0.0004932661,0.0007124188,0.001825907,0.0004365015,0.0006093987,0.006779226],"category_scores_gemma":[0.01055428,0.0001407743,0.0003336765,0.0005720363,0.001805909,0.0007086513,0.001213284,0.0009687307,0.0002813208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580877,"about_ca_system_score_gemma":0.001046867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02070612,"about_ca_topic_score_gemma":0.02584653,"domain_scores_codex":[0.9988441,0.0005473848,0.00003838284,0.0001085538,0.0001174084,0.0003441909],"domain_scores_gemma":[0.988995,0.006011554,0.003282969,0.0003491204,0.0003483198,0.001013082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001172555,0.0008205107,0.8954822,0.0002790942,0.0003535575,0.0008112639,0.003697414,0.01129491,0.003691283,0.03925936,0.00224178,0.04089612],"study_design_scores_gemma":[0.0001083898,0.0004539212,0.9741864,0.0000849467,0.0002022198,0.0001062636,0.002881884,0.007014857,0.0009510608,0.009159552,0.004825235,0.00002520641],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989996,0.0003124707,0.0002614836,0.001061483,0.000007001023,0.00000921277,0.0001445614,0.000007542671,0.008200242],"genre_scores_gemma":[0.9995133,0.00004426658,0.0000290777,0.00003767425,0.000005424598,0.000003664794,0.00002331984,0.000001372321,0.0003418675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02070612,"threshold_uncertainty_score":0.04117119,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2236964888","doi":"10.1257/app.6.1.38","title":"Influenza Vaccination Campaigns: Is an Ounce of Prevention Worth a Pound of Cure?","year":2013,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Dalhousie University","funders":"","keywords":"Fluid ounce (US); Vaccination; Externality; Pound (networking); Medicine; Environmental health; Demography; Economics; Microeconomics; Computer science; Political science; Immunology; Sociology; Law","authors":[{"name":"Courtney Ward","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05392577164401706,"gpt":0.346749676162418,"spread":0.2928239045184009,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001944541,0.0003749666,0.0009283296,0.0004521374,0.0002660732,0.001481663,0.0004773198,0.0012099,0.004878579],"category_scores_gemma":[0.01643517,0.0001584004,0.0004391757,0.0008913577,0.00149311,0.001361024,0.0009357392,0.001087529,0.0003889693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002448719,"about_ca_system_score_gemma":0.001615333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02223503,"about_ca_topic_score_gemma":0.03054004,"domain_scores_codex":[0.9989026,0.0004706259,0.0000384425,0.0001013937,0.0003769336,0.000110083],"domain_scores_gemma":[0.9945679,0.00387227,0.0008987454,0.0002019016,0.0002401023,0.0002192278],"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":[0.00209264,0.0003655567,0.2891258,0.001860456,0.002080957,0.0003980562,0.0005527075,0.04842936,0.002308589,0.04404604,0.01887024,0.5898696],"study_design_scores_gemma":[0.0006982575,0.006449145,0.6582424,0.002321922,0.004499104,0.0006849074,0.002717827,0.06145372,0.002357125,0.1017614,0.1586955,0.0001187178],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8164257,0.04550261,0.0167575,0.07419685,0.0009212905,0.0002181664,0.001836333,0.0001609138,0.04398053],"genre_scores_gemma":[0.9702826,0.01490491,0.003432963,0.003314809,0.0006974573,0.00004313871,0.0004065975,0.00002290892,0.006894685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02223503,"threshold_uncertainty_score":0.04421121,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3122517818","doi":"10.1257/app.20200025","title":"LinkedIn(to) Job Opportunities: Experimental Evidence from Job Readiness Training","year":2022,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Seekers; Work (physics); Training (meteorology); Business; Political science; Engineering","authors":[{"name":"Laurel Wheeler","is_ca":true},{"name":"Robert Garlick","is_ca":false},{"name":"Eric Johnson","is_ca":false},{"name":"Patrick Shaw","is_ca":false},{"name":"Marissa Gargano","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09823516064813832,"gpt":0.2647955539959394,"spread":0.1665603933478011,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004318949,0.0007463046,0.0009411676,0.0004061255,0.001119883,0.001330807,0.001062936,0.00120299,0.04295778],"category_scores_gemma":[0.01282318,0.0004174572,0.0006072843,0.000414491,0.001411141,0.001146682,0.001340682,0.00183714,0.00234843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005636584,"about_ca_system_score_gemma":0.0007165178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002353508,"about_ca_topic_score_gemma":0.00234121,"domain_scores_codex":[0.9976529,0.001522756,0.00007567697,0.0003572166,0.0001851993,0.0002062531],"domain_scores_gemma":[0.9844935,0.009875278,0.00269501,0.001241056,0.0002451368,0.001450056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.3846288,0.3999969,0.02636174,0.0021733,0.002121189,0.00022617,0.001240265,0.003568314,0.009568322,0.009835381,0.009675145,0.1506045],"study_design_scores_gemma":[0.1703174,0.5214631,0.2037169,0.001304876,0.004963242,0.0003325167,0.002564972,0.01921676,0.008150099,0.04571574,0.02197059,0.0002838331],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900886,0.00053042,0.0007147316,0.00067229,0.0001647073,0.0004683282,0.0004917298,0.00003659473,0.006832581],"genre_scores_gemma":[0.9864538,0.000708489,0.00119437,0.0007003485,0.0001635572,0.001338831,0.0005154731,0.00003169972,0.008893404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04295778,"threshold_uncertainty_score":0.1437081,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4361286318","doi":"10.1257/app.20200503","title":"Are Small Firms Labor Constrained? Experimental Evidence from Ghana","year":2023,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":42,"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":"Apprenticeship; Subsidy; Labour economics; Cash; Business; Economics; Finance; Market economy","authors":[{"name":"Morgan Hardy","is_ca":false},{"name":"Jamie McCasland","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04238355807569458,"gpt":0.2416525443128313,"spread":0.1992689862371367,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004859186,0.0004371175,0.0005490293,0.0004690217,0.0009716937,0.001014143,0.0007967129,0.001194275,0.0184753],"category_scores_gemma":[0.01733912,0.0003174818,0.0001649172,0.0006565173,0.003594648,0.001100675,0.001228625,0.0006661024,0.000680964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006907742,"about_ca_system_score_gemma":0.0005638758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005309007,"about_ca_topic_score_gemma":0.006935048,"domain_scores_codex":[0.9979092,0.001454725,0.00009569946,0.0002176373,0.0001380707,0.0001846324],"domain_scores_gemma":[0.9224651,0.05192754,0.02031187,0.003058209,0.0006607049,0.0015766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.05086179,0.03320565,0.6712897,0.003814397,0.0007828672,0.007860613,0.03155503,0.002606471,0.04187397,0.03518372,0.009936182,0.1110295],"study_design_scores_gemma":[0.01117366,0.0175758,0.8614402,0.0008812519,0.0004986536,0.001490754,0.03523648,0.003311886,0.01009383,0.03176082,0.02639443,0.0001422085],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994512,0.0003783643,0.0003194452,0.0006958299,0.000008292622,0.00009665834,0.0001690937,0.000004658176,0.003815718],"genre_scores_gemma":[0.9982148,0.0002786848,0.0002467699,0.0002222831,0.00001121347,0.0001027722,0.0001062499,0.000002984242,0.000814187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0184753,"threshold_uncertainty_score":0.06180602,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4313318932","doi":"10.1257/app.20200662","title":"The Economic Incidence of Wildfire Suppression in the United States","year":2022,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":40,"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":"Subsidy; Harm; Economics; Value (mathematics); Hazard; Natural resource economics; Demographic economics; Geography; Public economics; Political science; Ecology; Statistics; Biology","authors":[{"name":"Patrick Baylis","is_ca":true},{"name":"Judson Boomhower","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003889376364514729,"gpt":0.1958051425478207,"spread":0.191915766183306,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004761563,0.00009408056,0.0001205083,0.0007978639,0.0002142084,0.0007566679,0.0001610679,0.0002464548,0.001813384],"category_scores_gemma":[0.003263169,0.00009438184,0.0001064139,0.001034456,0.0002854771,0.0003728992,0.0004656738,0.0004666274,0.0001522699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006021952,"about_ca_system_score_gemma":0.0002078538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01710536,"about_ca_topic_score_gemma":0.03113558,"domain_scores_codex":[0.9996954,0.00009918115,0.00003363022,0.00003806063,0.00009101929,0.00004272874],"domain_scores_gemma":[0.9971235,0.0005619262,0.001687074,0.0001138199,0.0002963564,0.0002172673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005366842,0.0000406854,0.98821,0.00001474381,0.00004184412,0.0001092326,0.00007932776,0.0008086579,0.0001067007,0.0009725884,0.002330445,0.007232246],"study_design_scores_gemma":[0.000002562168,0.00001949357,0.996163,0.00001142384,0.000008684507,0.0001761354,0.00032283,0.0009558326,0.00007851895,0.0002683688,0.001988508,0.000004585968],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915209,0.0004688533,0.0001746861,0.0006078298,0.00002229657,0.000005080027,0.001344603,0.000009489925,0.005846172],"genre_scores_gemma":[0.9982608,0.0002830344,0.0000641035,0.00006312953,0.00001880867,0.000002963661,0.0009230892,0.000001597239,0.0003824518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01710536,"threshold_uncertainty_score":0.03401154,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4313365186","doi":"10.1257/app.20200807","title":"The Effect of Immigration Restrictions on Local Labor Markets: Lessons from the 1920s Border Closure","year":2022,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Immigration; Closure (psychology); Labour economics; Economics; Demographic economics; Political science; Development economics; Market economy","authors":[{"name":"Ran Abramitzky","is_ca":false},{"name":"Philipp Ager","is_ca":false},{"name":"Leah Platt Boustan","is_ca":false},{"name":"Elior Cohen","is_ca":false},{"name":"Casper Worm Hansen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004820885376255354,"gpt":0.2621798519531248,"spread":0.2573589665768694,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001416435,0.0002166585,0.0004892861,0.0007657208,0.00170319,0.002118418,0.0008925293,0.0009068141,0.008223356],"category_scores_gemma":[0.004430701,0.0001665641,0.0003248633,0.001093466,0.002493356,0.001342003,0.001738177,0.001143586,0.0005311263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003212709,"about_ca_system_score_gemma":0.001088593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09398492,"about_ca_topic_score_gemma":0.113397,"domain_scores_codex":[0.9994167,0.0002226053,0.00001930062,0.0000777164,0.00004996137,0.0002137486],"domain_scores_gemma":[0.9986971,0.0004999017,0.0003297685,0.00009121579,0.0001843132,0.0001977825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001060504,0.00123454,0.5842258,0.0004222767,0.0002268103,0.003892844,0.02409086,0.01529918,0.001819299,0.1941658,0.02141333,0.1521488],"study_design_scores_gemma":[0.0001826535,0.0005032948,0.8515705,0.0004950711,0.0001056652,0.0002047078,0.05302393,0.005731085,0.0007512692,0.04794969,0.0393926,0.00008952238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550638,0.001418537,0.0002808446,0.005087837,0.00003173032,0.00001732394,0.0002276065,0.000009498792,0.03786283],"genre_scores_gemma":[0.9971352,0.0005304329,0.00006103327,0.0002811201,0.0000259789,0.000007791707,0.00008359709,0.000003955795,0.001870837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09398492,"threshold_uncertainty_score":0.1868757,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3167635853","doi":"10.1257/app.20210184","title":"Is Zero a Special Price? Evidence from Child Health Care","year":2022,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Zero (linguistics); Payment; Economics; Monetary economics; Actuarial science; Public economics; Finance","authors":[{"name":"Toshiaki Iizuka","is_ca":false},{"name":"Hitoshi Shigeoka","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03219535934415391,"gpt":0.259446632535476,"spread":0.227251273191322,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007887525,0.0003390224,0.0006986533,0.0006117833,0.0005275302,0.001769718,0.00126699,0.002112282,0.02175353],"category_scores_gemma":[0.05606531,0.0004532272,0.001554578,0.001337355,0.002108525,0.001497571,0.001849914,0.003284717,0.001113564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009250662,"about_ca_system_score_gemma":0.0005817755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01613042,"about_ca_topic_score_gemma":0.008636699,"domain_scores_codex":[0.9950567,0.002964143,0.0002877831,0.0006597826,0.0005765356,0.0004551196],"domain_scores_gemma":[0.9074412,0.06553636,0.0196097,0.003967962,0.00177715,0.001667643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01339767,0.001320331,0.8569026,0.002660327,0.003435089,0.0007489937,0.003395741,0.000540416,0.0004138303,0.0134679,0.01550362,0.08821344],"study_design_scores_gemma":[0.0009368947,0.0008802193,0.9734184,0.001026366,0.00186262,0.0003500209,0.002596383,0.0006402999,0.0003293355,0.008361413,0.009538225,0.00005993664],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9357754,0.01906125,0.00114749,0.01591822,0.0002833139,0.0001021849,0.00295486,0.00003055459,0.02472664],"genre_scores_gemma":[0.9885073,0.004400808,0.0003269073,0.004653873,0.0002043606,0.00003519679,0.0008438326,0.00002492354,0.001002899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02175353,"threshold_uncertainty_score":0.0727728,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3021469632","doi":"10.1257/app.20150131","title":"Beyond Statistics: The Economic Content of Risk Scores","year":2016,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":37,"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":"National Institute on Aging","keywords":"Context (archaeology); Incentive; Actuarial science; Point (geometry); Economics; Econometrics; Microeconomics; Mathematics","authors":[{"name":"Liran Einav","is_ca":false},{"name":"Amy Finkelstein","is_ca":false},{"name":"Raymond Kluender","is_ca":false},{"name":"Paul Schrimpf","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02941643165697533,"gpt":0.2362848980819042,"spread":0.2068684664249289,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01268378,0.0008476336,0.001184603,0.004284536,0.001333569,0.006204573,0.001333669,0.002358955,0.005087697],"category_scores_gemma":[0.1153449,0.0006370701,0.0006237894,0.005736667,0.01034377,0.01308086,0.002792578,0.00437839,0.0006046987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002260168,"about_ca_system_score_gemma":0.001359496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002346011,"about_ca_topic_score_gemma":0.001851622,"domain_scores_codex":[0.9905563,0.005498041,0.0004159696,0.001059348,0.002225656,0.0002446372],"domain_scores_gemma":[0.8965008,0.0805321,0.007334225,0.01069972,0.003814716,0.001118383],"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":[0.00005818179,0.00004831838,0.008835796,0.0001219643,0.00009672366,0.0001180122,0.0003714378,0.007899955,0.0003139408,0.9333656,0.003423003,0.04534707],"study_design_scores_gemma":[0.000009508224,0.00002464299,0.002556399,0.00005624635,0.00001267057,0.00006537983,0.0001377935,0.01759048,0.0001980863,0.9754769,0.00384772,0.00002414672],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1356984,0.01140639,0.7460011,0.05443744,0.001216855,0.0001695451,0.001985013,0.0004336176,0.04865173],"genre_scores_gemma":[0.8977599,0.004236056,0.08702407,0.002633525,0.001884802,0.0002152587,0.0005790181,0.0001801108,0.005487461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01268378,"threshold_uncertainty_score":0.06707901,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4297493302","doi":"10.1257/app.20210048","title":"Pathways into Opioid Dependence: Evidence from Practice Variation in Emergency Departments","year":2022,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Opioid; Receipt; Decile; Medical prescription; Medicine; Emergency department; Opioid overdose; Prescription Drug Misuse; Emergency medicine; Medical emergency; Family medicine; Psychiatry; Opioid use disorder; Internal medicine; Nursing; Business; (+)-Naloxone","authors":[{"name":"Sarah Eichmeyer","is_ca":false},{"name":"Jonathan Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0144622966706882,"gpt":0.2693073194975096,"spread":0.2548450228268214,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006300793,0.0002581587,0.0005160083,0.00193372,0.0005490436,0.001209005,0.001339541,0.001247951,0.005604084],"category_scores_gemma":[0.05920383,0.0005042554,0.0009164547,0.00435239,0.001251239,0.000778013,0.00216413,0.001216445,0.000396053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195637,"about_ca_system_score_gemma":0.001257363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03941385,"about_ca_topic_score_gemma":0.02809081,"domain_scores_codex":[0.9900208,0.006553307,0.0007653534,0.001137303,0.0008301104,0.000693164],"domain_scores_gemma":[0.9083174,0.04385522,0.03826722,0.004223906,0.002557288,0.002779086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001523529,0.0001077395,0.9911091,0.00005715981,0.0003271466,0.00006710324,0.000259055,0.0007082157,0.0000246235,0.0004911577,0.0007140212,0.005982298],"study_design_scores_gemma":[0.00006499326,0.0001135461,0.9957926,0.00009266213,0.000110352,0.00008083884,0.0004596455,0.001669339,0.00002614563,0.000945715,0.0006355416,0.000008589488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891086,0.003018107,0.001028981,0.002853528,0.00003719635,0.00005599831,0.002228341,0.00001670283,0.001652624],"genre_scores_gemma":[0.9980167,0.0006621872,0.0002355328,0.0002332755,0.00002641703,0.00001684079,0.000611682,0.000004154422,0.0001932056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03941385,"threshold_uncertainty_score":0.0783689,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4382584183","doi":"10.1257/app.20210583","title":"Uncovering Peer Effects in Social and Academic Skills","year":2023,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"School Choice and Performance","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Peer effects; Psychology; Social skills; Peer group; Test (biology); Developmental psychology; Social psychology","authors":[{"name":"Román Andrés Zárate","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0158985573484141,"gpt":0.3025954213860723,"spread":0.2866968640376582,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00157642,0.0002893624,0.0003731487,0.0007722166,0.0004860972,0.0008452426,0.0004813679,0.0004857771,0.006065667],"category_scores_gemma":[0.008945096,0.0001932185,0.0002072209,0.0005446411,0.001380674,0.0007053256,0.001789932,0.0006730798,0.0002617103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004818297,"about_ca_system_score_gemma":0.0003715905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002980426,"about_ca_topic_score_gemma":0.004311542,"domain_scores_codex":[0.9983695,0.0009537147,0.00002411852,0.0002490869,0.0002175156,0.0001859372],"domain_scores_gemma":[0.9897332,0.006797886,0.001909128,0.000511468,0.0002650709,0.0007832345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007818787,0.001480542,0.9380564,0.0001423227,0.0002361939,0.0005599288,0.005811097,0.001008732,0.01119778,0.006065587,0.000520966,0.03413844],"study_design_scores_gemma":[0.0000287759,0.0004255376,0.9932219,0.00001421809,0.00006119171,0.00007052049,0.002157844,0.001237042,0.0007016466,0.001440763,0.0006325261,0.000007999066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970721,0.00007896889,0.0003187868,0.00009767271,0.000003208948,0.000009281096,0.00004256344,0.000004198774,0.002373112],"genre_scores_gemma":[0.9993924,0.00003957684,0.0001386024,0.00001819626,0.000004634272,0.000008880698,0.0000188039,0.000002267691,0.0003765544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006065667,"threshold_uncertainty_score":0.02029169,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2266277318","doi":"10.1257/app.20150360","title":"Do Free Trade Agreements Affect Tariffs of Nonmember Countries? A Theoretical and Empirical Investigation","year":2018,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University; York University","funders":"","keywords":"International economics; International trade; Trade diversion; Economics; Free trade; Trade barrier; World trade; Free trade agreement; International free trade agreement; Regional trade; Business","authors":[{"name":"Kamal Saggi","is_ca":false},{"name":"Andrey Stoyanov","is_ca":true},{"name":"Halis Murat Yildiz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02535123794336575,"gpt":0.2334841837830051,"spread":0.2081329458396394,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003021692,0.0004685183,0.0009756191,0.001155001,0.001107635,0.003765616,0.001248734,0.001900072,0.01535072],"category_scores_gemma":[0.01431791,0.0003789745,0.001069803,0.001417629,0.001818942,0.003518615,0.001628201,0.002050213,0.0007588617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326075,"about_ca_system_score_gemma":0.0008664024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004668957,"about_ca_topic_score_gemma":0.003740865,"domain_scores_codex":[0.9990606,0.0003466413,0.00005140937,0.0001765675,0.0001304673,0.0002343494],"domain_scores_gemma":[0.9774955,0.01136411,0.008209706,0.001278461,0.0006686166,0.000983619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001640272,0.001744823,0.5329348,0.0006846369,0.000873647,0.002416866,0.002869913,0.1051883,0.005340541,0.2635742,0.006200993,0.07653093],"study_design_scores_gemma":[0.0008963307,0.001636321,0.3874041,0.0003820673,0.001171374,0.001479074,0.008234932,0.2097754,0.005941013,0.3619412,0.02091589,0.0002222898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729523,0.001124424,0.005149087,0.001387775,0.00003738255,0.00004415213,0.0003008294,0.00004791658,0.01895627],"genre_scores_gemma":[0.9983912,0.0002992006,0.0002789936,0.00009477959,0.00002801364,0.000008853588,0.00007526181,0.000005676026,0.0008180769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01535072,"threshold_uncertainty_score":0.05135328,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3142405087","doi":"10.1257/app.20200397","title":"Capital Destruction and Economic Growth: The Effects of Sherman’s March, 1850–1920","year":2022,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Spanish Civil War; Economics; Capital (architecture); Agriculture; Investment (military); Financial capital; Capital investment; Capital market; Agricultural economics; Monetary economics; Market economy; Finance; Geography; Human capital; Political science","authors":[{"name":"James Feigenbaum","is_ca":false},{"name":"James Lee","is_ca":false},{"name":"Filippo Mezzanotti","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005558676633388522,"gpt":0.1832527478372555,"spread":0.177694071203867,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004746884,0.0001643009,0.000177407,0.0008624179,0.00081461,0.00117324,0.0003786171,0.000314575,0.002324927],"category_scores_gemma":[0.001992523,0.00009053178,0.0001577916,0.00204887,0.001118688,0.0003767228,0.0009841964,0.0006327134,0.0002436432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002333412,"about_ca_system_score_gemma":0.0007227926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.195846,"about_ca_topic_score_gemma":0.3135223,"domain_scores_codex":[0.9998446,0.00002671616,0.000005525797,0.00002153606,0.0000206193,0.00008111052],"domain_scores_gemma":[0.9988306,0.0002204922,0.0005596264,0.0000437589,0.0001172016,0.0002283844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002707067,0.0001249433,0.9608316,0.00004258462,0.00008546561,0.0006350923,0.005335283,0.002459194,0.00049554,0.005057541,0.005153932,0.01950803],"study_design_scores_gemma":[0.000003407585,0.00002931937,0.9949122,0.00001358204,0.00001377654,0.00003462054,0.001826264,0.000392519,0.00009671144,0.0002729491,0.002400362,0.00000435237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970253,0.0002118589,0.00003548922,0.0002942723,0.000004741409,0.000002765916,0.0003604589,0.000002696729,0.002062533],"genre_scores_gemma":[0.9985619,0.0001952056,0.00002278213,0.00003409217,0.000009646375,0.000002738848,0.0004078742,0.000001634662,0.0007641594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.195846,"threshold_uncertainty_score":0.389412,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1486399006","doi":"10.1257/app.3.1.152","title":"Are Restaurants Really Supersizing America?","year":2011,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Calorie; Obesity; Exploit; Consumption (sociology); Offset (computer science); Identification (biology); Welfare; Business; Food consumption; Consumer demand; Environmental health; Advertising; Public economics; Marketing; Economics; Agricultural economics; Medicine; Computer science; Microeconomics; Biology; Computer security","authors":[{"name":"Michael Anderson","is_ca":false},{"name":"David A. Matsa","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02522914007943008,"gpt":0.2371758752538612,"spread":0.2119467351744311,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00103936,0.0002101725,0.0003772276,0.0009043855,0.001339324,0.003435202,0.000396407,0.000998236,0.01650259],"category_scores_gemma":[0.002466576,0.0001778664,0.0002700718,0.001822983,0.002601852,0.002092446,0.0008770696,0.001204588,0.001285152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500288,"about_ca_system_score_gemma":0.0007172587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04333253,"about_ca_topic_score_gemma":0.05206876,"domain_scores_codex":[0.9992779,0.0002402544,0.00002740874,0.0001563765,0.0001545723,0.0001435229],"domain_scores_gemma":[0.9979278,0.000430016,0.0007166205,0.0001167723,0.0003762284,0.0004325405],"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":[0.001087741,0.0001490575,0.2857127,0.001063466,0.0004322344,0.001356064,0.01139133,0.0007669785,0.003033484,0.3498532,0.1857875,0.1593663],"study_design_scores_gemma":[0.00008052849,0.0001950973,0.4167142,0.0006164332,0.0002101308,0.0007321718,0.02834201,0.001029106,0.0009541424,0.02629538,0.5247396,0.00009112064],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5570438,0.01984197,0.002912757,0.1433951,0.001614134,0.00004065845,0.003154527,0.0002373432,0.2717597],"genre_scores_gemma":[0.9723988,0.005131247,0.0005634119,0.009445997,0.0007077417,0.00001805132,0.00069193,0.00005031438,0.01099261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04333253,"threshold_uncertainty_score":0.0861606,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3125225094","doi":"10.1257/app.20210074","title":"Income Segregation and the Rise of the Knowledge Economy","year":2023,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Economic rent; Economics; Sorting; Leverage (statistics); Economic inequality; Standard deviation; Inequality; Production (economics); Economic geography; Demographic economics; Econometrics; Microeconomics; Statistics; Mathematics","authors":[{"name":"Enrico Berkes","is_ca":false},{"name":"Ruben Gaetani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01169003914829048,"gpt":0.1993105154826529,"spread":0.1876204763343624,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004894735,0.0002046318,0.000266745,0.001175988,0.0004924837,0.001517718,0.0003216993,0.0006493989,0.003344444],"category_scores_gemma":[0.004401929,0.0001449128,0.0004254997,0.001672394,0.001347009,0.0007951785,0.001570732,0.0007817105,0.0003480029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001735453,"about_ca_system_score_gemma":0.0004968871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02127918,"about_ca_topic_score_gemma":0.02156438,"domain_scores_codex":[0.9996608,0.00009303734,0.00001672794,0.00005897407,0.00005368862,0.0001167458],"domain_scores_gemma":[0.9960074,0.001028268,0.002161783,0.0001367619,0.0001762853,0.0004895016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002741565,0.0002446803,0.9283168,0.00008196007,0.0002225924,0.0005329301,0.0007346763,0.02520934,0.0009819899,0.01989699,0.002227881,0.02127595],"study_design_scores_gemma":[0.00003202137,0.0001408792,0.9592814,0.00004322158,0.0001110588,0.0001064528,0.00110529,0.02319593,0.0006618554,0.01236269,0.002938707,0.00002054089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938105,0.0007487857,0.0008409765,0.001268375,0.000009201464,0.000006090223,0.0003291912,0.00001514394,0.002971723],"genre_scores_gemma":[0.9994358,0.0001798068,0.00005889556,0.00003359834,0.0000135056,0.000001852438,0.00008034184,0.000001963771,0.0001941905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02127918,"threshold_uncertainty_score":0.04231066,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3140948193","doi":"10.1257/app.20210807","title":"Affirmative Action and Precollege Human Capital","year":2023,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Connaught Fund; Princeton University; Purdue University; Collegio Carlo Alberto; Texas Education Agency; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Spencer Foundation; Andrew W. Mellon Foundation; National Science Foundation","keywords":"Affirmative action; Human capital; Attendance; Investment (military); Test (biology); Standardized test; Supreme court; Demographic economics; Action (physics); Political science; Capital (architecture); Economics; Psychology; Law; Mathematics education; Economic growth; History","authors":[{"name":"Mitra Akhtari","is_ca":false},{"name":"Natalie Bau","is_ca":false},{"name":"Jean‐William Laliberté","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01804559787765251,"gpt":0.2929782683624433,"spread":0.2749326704847908,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002079591,0.0001941113,0.0002772464,0.0006743633,0.001030969,0.001699066,0.0003796357,0.0007646143,0.006415461],"category_scores_gemma":[0.01249435,0.00009817913,0.0002460831,0.0008846371,0.001772995,0.0008422486,0.001847414,0.001143631,0.0004196601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001720374,"about_ca_system_score_gemma":0.001817378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01141091,"about_ca_topic_score_gemma":0.01767749,"domain_scores_codex":[0.9982052,0.0006323771,0.00005834974,0.0001673184,0.0002231186,0.0007136887],"domain_scores_gemma":[0.9795927,0.008524628,0.007746444,0.0008023307,0.0006172503,0.002716567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004756089,0.00206488,0.8734263,0.00008203874,0.0001947891,0.0002597547,0.001587551,0.006351723,0.001094303,0.05009259,0.003800808,0.06056966],"study_design_scores_gemma":[0.00004955294,0.0003714247,0.950357,0.00009685299,0.00009393331,0.0000571884,0.002123756,0.003277515,0.001212649,0.03402239,0.008308792,0.00002898256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860826,0.0004305435,0.0005066774,0.00258679,0.00003469542,0.00001439866,0.0002478595,0.0000108826,0.01008563],"genre_scores_gemma":[0.9988232,0.00009937663,0.00006413448,0.0001474803,0.00001849604,0.000007051924,0.00003852694,9.522777e-7,0.0008008378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01141091,"threshold_uncertainty_score":0.02268898,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4393244952","doi":"10.1257/app.20210137","title":"Measuring Absolute Income Mobility: Lessons from North America and Europe","year":2024,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Statistics Canada","funders":"Strategic Research Council; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Academy of Finland; European Commission","keywords":"Absolute (philosophy); Geography; Demographic economics; Socioeconomics; Economic growth; Development economics; Economics; Political science","authors":[{"name":"Robert Manduca","is_ca":false},{"name":"Maximilian Hell","is_ca":false},{"name":"Adrian Adermon","is_ca":false},{"name":"Jo Blanden","is_ca":false},{"name":"Espen Bratberg","is_ca":false},{"name":"Anne C. Gielen","is_ca":false},{"name":"Hans van Kippersluis","is_ca":false},{"name":"Keunbok Lee","is_ca":false},{"name":"Stephen Machin","is_ca":false},{"name":"Martin D. Munk","is_ca":false},{"name":"Martin Nybom","is_ca":false},{"name":"Yuri Ostrovsky","is_ca":true},{"name":"Sumaiya Rahman","is_ca":false},{"name":"Outi Sirniö","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05184392346422852,"gpt":0.2996583188956094,"spread":0.2478143954313809,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01980834,0.0006154528,0.001283943,0.002704334,0.001122488,0.002752085,0.001848383,0.00117578,0.001503497],"category_scores_gemma":[0.04690064,0.0003609631,0.0008511742,0.007768622,0.001692373,0.004968988,0.005546494,0.001476636,0.0002127828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528239,"about_ca_system_score_gemma":0.001781266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09643977,"about_ca_topic_score_gemma":0.07481451,"domain_scores_codex":[0.9921806,0.005188304,0.000542976,0.0009848799,0.0007088586,0.0003943628],"domain_scores_gemma":[0.9801157,0.01172758,0.001861772,0.002866374,0.002926248,0.0005023755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002696423,0.0001273565,0.6227164,0.0005297489,0.0009570972,0.000435393,0.0141612,0.0160371,0.0002999399,0.09729671,0.01142127,0.2357481],"study_design_scores_gemma":[0.00007281212,0.0002161028,0.763634,0.003357214,0.0003861648,0.0005822824,0.01986651,0.02128452,0.0006586813,0.1382243,0.05154993,0.0001674226],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8519113,0.02467972,0.04841419,0.0168846,0.0003655396,0.0001841013,0.00316173,0.0001244073,0.05427447],"genre_scores_gemma":[0.9739071,0.004833905,0.01717059,0.001071149,0.0001286402,0.000144172,0.001533764,0.0000518806,0.001158915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09643977,"threshold_uncertainty_score":0.1917568,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387133265","doi":"10.1257/app.20220073","title":"Temporal Instability of Risk Preference among the Poor: Evidence from Payday Cycles","year":2023,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Preference; Poverty; Affect (linguistics); Economics; Social security; Demographic economics; Monetary economics; Psychology; Economic growth; Microeconomics","authors":[{"name":"Mika Akesaka","is_ca":false},{"name":"Peter Eibich","is_ca":false},{"name":"Chie Hanaoka","is_ca":false},{"name":"Hitoshi Shigeoka","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02412124826937464,"gpt":0.2187274002539418,"spread":0.1946061519845671,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00170047,0.0001198724,0.0002998418,0.001192828,0.0005159075,0.00105461,0.00040868,0.00060313,0.004643],"category_scores_gemma":[0.01153311,0.0002099235,0.0003377403,0.002072828,0.0007185154,0.000697118,0.001202405,0.0006302437,0.0003761162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002650902,"about_ca_system_score_gemma":0.0002016949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01288259,"about_ca_topic_score_gemma":0.01286785,"domain_scores_codex":[0.99949,0.0001865431,0.00006413845,0.0001050367,0.00006488161,0.0000893223],"domain_scores_gemma":[0.9832479,0.004831753,0.008988477,0.001349328,0.0007570363,0.0008255597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002475269,0.00007319143,0.9911758,0.00002020093,0.00009620629,0.00006386457,0.0006763202,0.0001628938,0.000114284,0.0003368792,0.0003279117,0.006704993],"study_design_scores_gemma":[0.000007946075,0.00005733261,0.9974948,0.00001185731,0.00004374641,0.00005585202,0.0008159841,0.0005005724,0.0000575344,0.0005357824,0.0004104542,0.000008122975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982967,0.0002652747,0.0001424697,0.0001790391,0.00000374611,0.000004270744,0.0003506959,0.000001860114,0.0007560065],"genre_scores_gemma":[0.999213,0.0001848107,0.00005759718,0.00004961907,0.000008800233,0.000003941916,0.000297153,0.000002002309,0.0001831302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01288259,"threshold_uncertainty_score":0.02561522,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387133196","doi":"10.1257/app.20210633","title":"Physical Disability and Labor Market Discrimination: Evidence from a Video Résumé Field Experiment","year":2023,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Names, Identity, and Discrimination Research","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Callback; Context (archaeology); Productivity; Psychology; Quality (philosophy); Labour economics; Business; Demographic economics; Advertising; Economics; Computer science; Geography","authors":[{"name":"Charles Bellemare","is_ca":true},{"name":"Marion Goussé","is_ca":true},{"name":"Guy Lacroix","is_ca":true},{"name":"Steeve Marchand","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03320448638691979,"gpt":0.3514139296341631,"spread":0.3182094432472433,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006099539,0.0004303466,0.0005761725,0.0006613088,0.001211679,0.001549494,0.0008886119,0.001847124,0.01414665],"category_scores_gemma":[0.01906065,0.0003464177,0.0003277418,0.0005966941,0.00153786,0.001068948,0.0008831057,0.001284475,0.001629915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000591039,"about_ca_system_score_gemma":0.0005508465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004382981,"about_ca_topic_score_gemma":0.004751185,"domain_scores_codex":[0.9969512,0.002027322,0.0001305085,0.0003025429,0.0003512837,0.0002370532],"domain_scores_gemma":[0.9513239,0.03115623,0.01145872,0.002851387,0.0007156486,0.002494147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.07397666,0.235791,0.5253489,0.001002164,0.00109554,0.0009833607,0.006232802,0.001732048,0.02389603,0.009236149,0.01407346,0.1066319],"study_design_scores_gemma":[0.007461348,0.05469597,0.9095667,0.0002040353,0.0006082113,0.000355797,0.004593941,0.004298103,0.003815236,0.005716249,0.008536894,0.0001475598],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959418,0.000106599,0.000157504,0.0002751853,0.00002649384,0.0000810792,0.0002009905,0.000006378011,0.003203965],"genre_scores_gemma":[0.9958628,0.0001551093,0.000283946,0.0004025558,0.00004226946,0.0001134585,0.0002189967,0.000004492376,0.002916255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01414665,"threshold_uncertainty_score":0.04732525,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4393244988","doi":"10.1257/app.20210816","title":"The Impact of Cash Transfers to Poor Mothers on Family Structure and Maternal Well-Being","year":2024,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; University of Toronto; Queen's University; California Center for Population Research, University of California, Los Angeles; University of Minnesota; Princeton University; Carnegie Mellon University; National Institutes of Health; Yale University","keywords":"Cash transfers; Demographic economics; Poverty; Economics; Economic growth","authors":[{"name":"Anna Aizer","is_ca":false},{"name":"Sung‐Woo Cho","is_ca":false},{"name":"Shari Eli","is_ca":true},{"name":"Adriana Lleras‐Muney","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005969940971761812,"gpt":0.2490789136014835,"spread":0.2431089726297217,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001158454,0.0002117688,0.0002141373,0.0007978962,0.0004285111,0.0004136346,0.0003023322,0.0003206891,0.001550682],"category_scores_gemma":[0.008771668,0.0001273183,0.0003376556,0.0006977384,0.0003052741,0.0003648898,0.0007281521,0.0003800785,0.0001297556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005667096,"about_ca_system_score_gemma":0.000358267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01259819,"about_ca_topic_score_gemma":0.02051522,"domain_scores_codex":[0.9993594,0.0003451673,0.00003062763,0.00005763744,0.00006266774,0.0001444998],"domain_scores_gemma":[0.9943261,0.002356709,0.002505467,0.0002307654,0.0001938976,0.0003870897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001921144,0.00007436238,0.9939872,0.00001036952,0.00005904502,0.00006294253,0.000151792,0.0003227156,0.00005907251,0.00006657249,0.0001507198,0.00486306],"study_design_scores_gemma":[0.000007502885,0.0001779802,0.9984901,0.00001341704,0.00004147932,0.00006247591,0.000412549,0.0003926222,0.00009078409,0.00008591053,0.0002213327,0.000003941831],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993411,0.00007398075,0.00002979629,0.00004907661,0.000002110685,0.000003226278,0.0003036852,9.723973e-7,0.0001960916],"genre_scores_gemma":[0.9995075,0.00009090833,0.00004087466,0.00001225533,0.000004443579,0.000007342331,0.0002010957,3.7173e-7,0.0001351274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01259819,"threshold_uncertainty_score":0.02504969,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2890081126","doi":"10.1257/app.2.3.129","title":"Why Have College Completion Rates Declined? An Analysis of Changing Student Preparation and Collegiate Resources","year":2010,"lang":"en","type":"preprint","venue":"American Economic Journal Applied Economics","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Preparedness; Demographic economics; Quarter (Canadian coin); Higher education; Community college; Demography; Public university; Psychology; Political science; Medical education; Sociology; Economics; Medicine; Geography; Economic growth; Management; Public administration","authors":[{"name":"John Bound","is_ca":false},{"name":"Michael Lovenheim","is_ca":false},{"name":"Sarah Turner","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02298657688099067,"gpt":0.3737241219659843,"spread":0.3507375450849937,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004271638,0.0001995696,0.0006422321,0.001769546,0.0005070149,0.001889039,0.0008555917,0.001263494,0.00506222],"category_scores_gemma":[0.01725063,0.0002615699,0.0008125943,0.004429295,0.00100069,0.001198849,0.0006009291,0.001272839,0.0008927176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001443514,"about_ca_system_score_gemma":0.0007607982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03717277,"about_ca_topic_score_gemma":0.02682129,"domain_scores_codex":[0.9982848,0.0005736204,0.0001051976,0.0003361674,0.0002573472,0.0004429901],"domain_scores_gemma":[0.9881612,0.003288526,0.004400199,0.0007948518,0.001899014,0.001456215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000156853,0.00004261481,0.982288,0.00003947805,0.0001176377,0.00005977369,0.0003715989,0.0004872596,0.0001645408,0.0008077433,0.002248407,0.01321617],"study_design_scores_gemma":[0.000007192636,0.00002676919,0.9979739,0.00001009182,0.00001989636,0.00002351498,0.0003921992,0.0003963494,0.00004716387,0.000257473,0.0008407914,0.000004721172],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863364,0.001035964,0.0003180585,0.007328186,0.00003614216,0.00001430089,0.002363541,0.00002484348,0.002542674],"genre_scores_gemma":[0.9978158,0.0001944887,0.0000531939,0.0003761679,0.00005485781,0.000005066204,0.0009084764,0.00001441636,0.0005774691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03717277,"threshold_uncertainty_score":0.0739128,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3122065220","doi":"10.1257/app.20160066","title":"Ethnolinguistic Favoritism in African Politics","year":2018,"lang":"en","type":"preprint","venue":"American Economic Journal Applied Economics","topic":"Culture, Economy, and Development Studies","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":"Brock University","funders":"","keywords":"Ethnic group; Respondent; Similarity (geometry); Identity (music); Politics; Contrast (vision); Per capita; Demographic economics; Government (linguistics); Social psychology; Political science; Psychology; Sociology; Linguistics; Demography; Economics; Law; Computer science","authors":[{"name":"Andrew Dickens","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0238014175453933,"gpt":0.2946275985596645,"spread":0.2708261810142713,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001350559,0.00007880699,0.0001880004,0.00110981,0.00203947,0.001614891,0.0001888738,0.0004256869,0.005842954],"category_scores_gemma":[0.005698797,0.0001230907,0.00008397313,0.001549893,0.003103719,0.0007561813,0.001512839,0.0005777037,0.0001585438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006407205,"about_ca_system_score_gemma":0.0003824329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003648714,"about_ca_topic_score_gemma":0.007235983,"domain_scores_codex":[0.9993113,0.000404155,0.00001797813,0.00006834873,0.00006359148,0.0001345555],"domain_scores_gemma":[0.9964188,0.001778224,0.001202548,0.000120754,0.00009415476,0.0003853926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003607922,0.0003731212,0.8436946,0.0001193536,0.00005445213,0.001060428,0.05915226,0.0003774579,0.001800394,0.04700825,0.001282596,0.04471639],"study_design_scores_gemma":[0.00001670286,0.00005996193,0.9514426,0.00005129681,0.00001482621,0.0002589028,0.03670558,0.0004132139,0.0001832425,0.008000565,0.002843046,0.0000100358],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918944,0.0001506514,0.00007217981,0.0002960662,0.000003701484,0.000002287647,0.0000101338,8.718128e-7,0.007569741],"genre_scores_gemma":[0.999697,0.00004923161,0.00001801059,0.00002261473,0.000006327576,0.000001211666,0.000002918152,6.122451e-7,0.000202131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005842954,"threshold_uncertainty_score":0.01954663,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411672024","doi":"10.1257/app.20220505","title":"Food Transfers and Child Nutrition: Evidence from India's Public Distribution System<sup>†</sup>","year":2025,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Public distribution system; Distribution (mathematics); Food supply; Economic growth; Environmental health; Medicine; Geography; Economics; Food security; Agricultural economics; Agriculture","authors":[{"name":"Aditya Shrinivas","is_ca":false},{"name":"Kathy Baylis","is_ca":false},{"name":"Benjamin Crost","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009408671404940698,"gpt":0.2155223209548403,"spread":0.2061136495498996,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001565412,0.000237136,0.0002780771,0.001445785,0.0006698345,0.001622039,0.0009014966,0.0005924457,0.008496637],"category_scores_gemma":[0.00892161,0.0002323727,0.0007717344,0.004681149,0.001013923,0.0005360035,0.00154622,0.0009747564,0.0007025165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552102,"about_ca_system_score_gemma":0.001339483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1679198,"about_ca_topic_score_gemma":0.1513568,"domain_scores_codex":[0.9986602,0.0006420849,0.00009248285,0.00009828537,0.0002165044,0.0002903805],"domain_scores_gemma":[0.9781314,0.0102428,0.008698788,0.000833387,0.001203348,0.0008903323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002197646,0.0001530677,0.9759814,0.0002053417,0.0003879245,0.0002239235,0.0006936446,0.001431822,0.00003867927,0.001662173,0.008509604,0.0104926],"study_design_scores_gemma":[0.00003055419,0.00007271911,0.992105,0.0001297152,0.0003624569,0.00006518306,0.001977862,0.0006332913,0.00009007487,0.0003975755,0.004123425,0.00001207486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677653,0.0041037,0.0003118566,0.004906835,0.00008084245,0.00003775652,0.01004292,0.00002842525,0.0127224],"genre_scores_gemma":[0.9918038,0.002481446,0.0001112863,0.000460996,0.00005902347,0.00002031604,0.003408626,0.000005654164,0.001648839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1679198,"threshold_uncertainty_score":0.3338848,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408885971","doi":"10.1257/app.20230342","title":"The Long-Term Effects of Career Guidance in High School and Student Financial Aid: Evidence from a Randomized Experiment","year":2025,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Université de Montréal","funders":"","keywords":"Term (time); Randomized controlled trial; Randomized experiment; Medical education; Psychology; Medicine","authors":[{"name":"Laëtitia Renée","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01016085989773626,"gpt":0.3316682107766351,"spread":0.3215073508788988,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01925949,0.001351087,0.002356691,0.0006836564,0.001525709,0.001845802,0.002343902,0.005167689,0.01247139],"category_scores_gemma":[0.06714488,0.0009069856,0.002225547,0.0008771532,0.004854747,0.001671613,0.001066074,0.003851333,0.00114946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0035211,"about_ca_system_score_gemma":0.006292004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01772852,"about_ca_topic_score_gemma":0.009917929,"domain_scores_codex":[0.972314,0.02132925,0.001267548,0.002046104,0.001625193,0.001417947],"domain_scores_gemma":[0.9268063,0.0550009,0.00893984,0.004427095,0.001625715,0.003200222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.8139324,0.1133562,0.003592092,0.002738155,0.00383771,0.00009521822,0.000433758,0.001964233,0.00100667,0.002824396,0.003314139,0.05290522],"study_design_scores_gemma":[0.8213223,0.1576461,0.005915507,0.0004852559,0.003084854,0.00004659241,0.0001799997,0.003155208,0.001047049,0.004023437,0.002999772,0.0000939107],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.948708,0.005629835,0.006219191,0.003505328,0.003486309,0.02068091,0.001442922,0.0004001255,0.009927483],"genre_scores_gemma":[0.9745487,0.001852022,0.006635723,0.001841992,0.000792949,0.01027247,0.0004206331,0.00002795411,0.003607544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01925949,"threshold_uncertainty_score":0.1018551,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405920878","doi":"10.1257/app.20230403","title":"Careers and Intergenerational Income Mobility","year":2024,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary; Université du Québec à Montréal","funders":"","keywords":"Microdata (statistics); Demographic economics; Economics; Persistence (discontinuity); Social mobility; Income distribution; Labour economics; Occupational mobility; Socioeconomic status; Census; Population; Demography; Sociology; Inequality","authors":[{"name":"Catherine Haeck","is_ca":true},{"name":"Jean‐William Laliberté","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01925366331784955,"gpt":0.3056186382459067,"spread":0.2863649749280572,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006263395,0.0001352149,0.0001475457,0.001856777,0.0006774072,0.0009608855,0.0002974878,0.0002355723,0.006129528],"category_scores_gemma":[0.005236586,0.0001311871,0.0002046259,0.002835185,0.0003882502,0.0006829203,0.001221462,0.0004459585,0.0006930973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006741497,"about_ca_system_score_gemma":0.0003494178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01703192,"about_ca_topic_score_gemma":0.03137035,"domain_scores_codex":[0.9996767,0.0001141512,0.00002301346,0.00004138025,0.00005854051,0.00008628218],"domain_scores_gemma":[0.9964309,0.001033478,0.001788193,0.0001850003,0.0002247983,0.0003376658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005544561,0.00004139138,0.9752507,0.00001999992,0.00005690289,0.0001103432,0.0006683726,0.001469183,0.00006386846,0.005041252,0.001102702,0.0161198],"study_design_scores_gemma":[0.000005119173,0.00002666178,0.9875229,0.00004950133,0.00001949598,0.0001469713,0.001446462,0.003256624,0.00006705909,0.003109216,0.004340505,0.000009478884],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911585,0.000743878,0.0006924639,0.0005366988,0.00001146332,0.00001076552,0.002368634,0.00001122016,0.004466396],"genre_scores_gemma":[0.9971867,0.0003389388,0.0001836773,0.00001380448,0.000006963452,0.000005672666,0.001004036,0.000002079967,0.001258027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01703192,"threshold_uncertainty_score":0.03386557,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}