{"meta":{"query_hash":"ab29c8215569","filters":{"venue":"American Economic Journal Macroeconomics"},"cohort_total":68,"direct_labels_cover":0,"predictions_cover":68,"exported":68,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/ab29c8215569","api":"https://metacan.xera.ac/api/v1/cohort?venue=American+Economic+Journal+Macroeconomics"},"results":[{"id":"W1996050976","doi":"10.1257/mac.6.2.207","title":"The Effects of Global Shocks on Small Commodity-Exporting Economies: Lessons from Canada","year":2014,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stylized fact; Economics; Commodity; Volatility (finance); Business cycle; Macroeconomics; Price shock; Macro; Small open economy; Emerging markets; Dynamic factor; Supply shock; Demand shock; Monetary economics; Economy; Econometrics; Exchange rate; Monetary policy; Market economy","score_opus":0.009022008208200965,"score_gpt":0.21645670584332513,"score_spread":0.20743469763512418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996050976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98063606,0.0003074849,0.0007317812,0.0024726426,0.002705807,0.00021079388,0.000815544,0.000018698509,0.012101161],"genre_scores_gemma":[0.9971818,0.00065889966,0.00036585273,0.0011486566,0.00046657363,0.000015249005,0.000018697496,0.000047416077,0.0000968894],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965034,0.00011514308,0.0020072202,0.0006240768,0.000035772784,0.0007143502],"domain_scores_gemma":[0.993585,0.0018792694,0.0032905159,0.00087588426,0.000035551435,0.0003337954],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014598909,0.00040141869,0.0011641162,0.00007243947,0.000531396,0.00026075976,0.0010566072,0.000091855014,0.0001132],"category_scores_gemma":[0.00047021025,0.00041259915,0.0003413301,0.00007726975,0.00040173114,0.00016582341,0.00018260619,0.0005320176,0.00006158851],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001695716,0.00007676614,0.806691,0.000029127295,0.00052532874,0.0000054971924,0.00008957922,0.0013459193,0.0000046106406,0.13661249,0.0025784762,0.051871654],"study_design_scores_gemma":[0.0028621159,0.0007585777,0.54511476,0.00008814649,0.00006990717,0.000050374754,0.0007279226,0.1254086,0.0001364473,0.21039784,0.11279084,0.0015944999],"about_ca_topic_score_codex":0.3023603,"about_ca_topic_score_gemma":0.4315861,"teacher_disagreement_score":0.26157627,"about_ca_system_score_codex":0.002208185,"about_ca_system_score_gemma":0.00045335817,"threshold_uncertainty_score":0.9998326},"labels":[],"label_agreement":null},{"id":"W2015596745","doi":"10.1257/mac.3.3.127","title":"Structural Change Out of Agriculture: Labor Push versus Labor Pull","year":2011,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":248,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Agriculture; Channel (broadcasting); Economics; Labour economics; Key (lock); Business; Engineering; Computer science; Geography; Telecommunications","score_opus":0.05172618443292935,"score_gpt":0.23364373203289326,"score_spread":0.18191754759996392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015596745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97259724,0.001546278,0.00005619357,0.0010060993,0.006332558,0.00033304986,0.0010941317,0.000050601633,0.016983852],"genre_scores_gemma":[0.9936254,0.0015589442,0.0021366167,0.0006695767,0.0015452587,0.000033936947,0.000024813133,0.000086312415,0.00031914888],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963975,0.000055017146,0.0018288019,0.00081881735,0.000030534127,0.0008693353],"domain_scores_gemma":[0.99567604,0.0001040663,0.0030023674,0.00070532935,0.00007193243,0.0004402446],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00082755776,0.0005022184,0.0013739141,0.00040535716,0.00021230393,0.00012483857,0.0009311743,0.00015519062,0.0017276383],"category_scores_gemma":[0.00009541225,0.0005686595,0.00044249505,0.00015312352,0.0005478385,0.0012541957,0.0001801066,0.00057366944,0.0014693273],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014484869,0.00023003251,0.7567457,0.00007325903,0.0014343315,0.000026327654,0.0076000625,0.00012906668,0.0001204289,0.2002668,0.0040979288,0.027827594],"study_design_scores_gemma":[0.010057996,0.002783795,0.70204836,0.000056928293,0.00020679524,0.00038979686,0.004345958,0.0017800258,0.0033236595,0.099495165,0.17125407,0.0042574354],"about_ca_topic_score_codex":0.0018434699,"about_ca_topic_score_gemma":0.0007138997,"teacher_disagreement_score":0.16715614,"about_ca_system_score_codex":0.0006305036,"about_ca_system_score_gemma":0.00012437462,"threshold_uncertainty_score":0.99967647},"labels":[],"label_agreement":null},{"id":"W2025832495","doi":"10.1257/mac.4.4.163","title":"Financial Contracts and the Political Economy of Investor Protection","year":2012,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Entrepreneurship; Economics; Politics; Investor protection; Finance; Monetary economics; Corporate governance; Political science","score_opus":0.010458264007467882,"score_gpt":0.1953762221881725,"score_spread":0.1849179581807046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025832495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98093057,0.00013414306,0.00029751548,0.008258073,0.0005868559,0.00020836032,0.000007362921,0.000011650969,0.009565466],"genre_scores_gemma":[0.9885836,0.00004563597,0.00007929241,0.008596418,0.0026369349,0.000014755826,9.752118e-7,0.000018703597,0.00002367311],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99893147,0.000016177559,0.00047443443,0.00013853086,0.000027824586,0.00041155852],"domain_scores_gemma":[0.9985584,0.00006781897,0.0011496139,0.00014985612,0.000036955455,0.000037328795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054693647,0.00015270132,0.00038076704,0.00009093304,0.00015118797,0.00013720417,0.00018178714,0.000035056728,0.0000397107],"category_scores_gemma":[0.00007622688,0.00012568734,0.000105751,0.00005099249,0.00065539114,0.0014393163,0.00006877185,0.00022768165,0.00010515439],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027625388,0.000030649095,0.090317264,0.000018371431,0.00003820591,9.249486e-7,0.000042683187,0.0000436311,0.000017429924,0.8956986,0.0010061327,0.012509824],"study_design_scores_gemma":[0.0050809514,0.00007118536,0.33947086,0.00003722589,0.00014217739,0.0002615386,0.0007824955,0.0033198223,0.0001368289,0.18013395,0.4699337,0.0006292488],"about_ca_topic_score_codex":0.0009429869,"about_ca_topic_score_gemma":0.000109794455,"teacher_disagreement_score":0.71556467,"about_ca_system_score_codex":0.00014149155,"about_ca_system_score_gemma":0.000094579926,"threshold_uncertainty_score":0.5125381},"labels":[],"label_agreement":null},{"id":"W2028144045","doi":"10.1257/mac.6.3.29","title":"The Impact of Medical and Nursing Home Expenses on Savings","year":2014,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":138,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Medical expenses; Medicaid; Earnings; Welfare; Social security; Demographic economics; Business; Precautionary savings; Nursing homes; Actuarial science; Labour economics; Economics; Nursing; Finance; Medicine; Health care; Economic growth","score_opus":0.006666719541747685,"score_gpt":0.2635896830925599,"score_spread":0.25692296355081223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028144045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99589914,0.000085761596,0.0000303424,0.0012278096,0.00034260922,0.0000701296,0.0000023888342,0.000015857617,0.0023259323],"genre_scores_gemma":[0.9973697,0.0004446957,0.000069547226,0.00076831336,0.0012769866,0.000002180196,0.0000031430218,0.000032407133,0.00003303584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998569,0.000028480177,0.00065860956,0.00024766495,0.00013351085,0.00036274537],"domain_scores_gemma":[0.99822086,0.00028219822,0.0011204634,0.00026306766,0.000053773903,0.000059653383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011205389,0.00021892712,0.00047898974,0.00024924823,0.00036942866,0.0004805209,0.00047550647,0.000045768138,0.0002971097],"category_scores_gemma":[0.00018138622,0.00016262438,0.000252246,0.00009164841,0.0005846836,0.0005501096,0.000110651505,0.00025216027,0.0001347702],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028429323,0.00008131082,0.7385249,0.000014436318,0.00012392663,0.000006517301,0.00015779205,0.00096463447,0.00004829658,0.032205034,0.00684188,0.22074695],"study_design_scores_gemma":[0.0018090867,0.00039029546,0.85348105,0.00028252162,0.00016596349,0.00016227156,0.0011217259,0.090350896,0.000041170046,0.0243619,0.026960587,0.0008725301],"about_ca_topic_score_codex":0.0015812083,"about_ca_topic_score_gemma":0.0001430426,"teacher_disagreement_score":0.21987443,"about_ca_system_score_codex":0.00024436472,"about_ca_system_score_gemma":0.00008810449,"threshold_uncertainty_score":0.66316295},"labels":[],"label_agreement":null},{"id":"W2039061403","doi":"10.1257/mac.1.2.127","title":"Understanding the Forward Premium Puzzle: A Microstructure Approach","year":2009,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Adverse selection; Currency; Order (exchange); Exchange rate; Economics; Foreign exchange; Market microstructure; Foreign exchange market; Interest rate; Monetary economics; Selection (genetic algorithm); Financial economics; Business; Microeconomics; Computer science; Finance; Artificial intelligence","score_opus":0.03771461632197739,"score_gpt":0.22243298239759537,"score_spread":0.18471836607561798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039061403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49054244,0.0028305766,0.03944975,0.018102236,0.0036669022,0.0010589478,0.000435545,0.00017546192,0.44373813],"genre_scores_gemma":[0.9914265,0.0012618997,0.002143866,0.003826494,0.00080485514,0.000011462575,0.000013738695,0.000050959356,0.00046018715],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973431,0.000038333274,0.001223466,0.00057964853,0.00003251047,0.00078292185],"domain_scores_gemma":[0.99764127,0.00007792151,0.0014906056,0.00054188207,0.000022435646,0.00022588522],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008846048,0.00040167593,0.0008050069,0.00025481737,0.00074041024,0.00076182093,0.00086391193,0.00010787002,0.00028068235],"category_scores_gemma":[0.000052148585,0.0003656496,0.00033179502,0.00018303658,0.0005379235,0.000730043,0.00007455219,0.0006390798,0.0002792038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001035268,0.000062537045,0.009424073,0.000008830859,0.0001871092,0.000006113786,0.0007529047,0.0028684959,0.000020244488,0.9655297,0.017752903,0.0032835638],"study_design_scores_gemma":[0.0015858206,0.00059958117,0.04191355,0.000020543865,0.00004335321,0.0007460883,0.004212034,0.008857367,0.000032618183,0.76515305,0.17552973,0.0013062356],"about_ca_topic_score_codex":0.00010614435,"about_ca_topic_score_gemma":0.000027260612,"teacher_disagreement_score":0.5008841,"about_ca_system_score_codex":0.0012986901,"about_ca_system_score_gemma":0.00013351656,"threshold_uncertainty_score":0.99987954},"labels":[],"label_agreement":null},{"id":"W2078239014","doi":"10.1257/mac.1.1.219","title":"Border Effect or Country Effect? Seattle May Not Be so Far from Vancouver After All","year":2009,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":123,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Border effect; Natural experiment; Distribution (mathematics); Economics; Gauge (firearms); Benchmark (surveying); International economics; Economic geography; Demographic economics; Geography; Cartography; Statistics; Mathematics","score_opus":0.01380884735384908,"score_gpt":0.24337054886767248,"score_spread":0.2295617015138234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078239014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9798456,0.0013392576,0.00016629638,0.0035889628,0.003328136,0.0005142129,0.001504331,0.00011636652,0.00959684],"genre_scores_gemma":[0.97333264,0.0034644026,0.0013514373,0.018857066,0.0014626912,0.000048659906,0.00008266935,0.00015686601,0.0012435926],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99494934,0.00009715531,0.0021450354,0.0012925805,0.000058791575,0.0014570956],"domain_scores_gemma":[0.99597335,0.00047023615,0.0018238222,0.0009860737,0.000028639695,0.00071786385],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011977269,0.0009229911,0.0021908283,0.00042003195,0.0002912434,0.0009588209,0.0010759418,0.00030080054,0.0045252084],"category_scores_gemma":[0.000100039506,0.0009717766,0.0006912906,0.0001503311,0.00045746088,0.0013415937,0.00015299201,0.00093450147,0.00406098],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.016239638,0.00109084,0.47118014,0.00017336704,0.006915673,0.0011775966,0.0026893988,0.01568452,0.0001998622,0.04292651,0.1997221,0.24200036],"study_design_scores_gemma":[0.0039398125,0.0019081645,0.028483447,0.00003020008,0.00012810728,0.00019421292,0.00017083203,0.002705969,0.00031136206,0.004298968,0.95618314,0.0016457756],"about_ca_topic_score_codex":0.001861854,"about_ca_topic_score_gemma":0.0018422584,"teacher_disagreement_score":0.7564611,"about_ca_system_score_codex":0.0018005376,"about_ca_system_score_gemma":0.0002369339,"threshold_uncertainty_score":0.9992733},"labels":[],"label_agreement":null},{"id":"W2090752746","doi":"10.1257/mac.5.1.168","title":"Taxes and Time Use: Fiscal Policy in a Household Production Model","year":2013,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Work (physics); Production (economics); Economics; Matching (statistics); Care work; Time-use survey; Labour economics; Public economics; Work time; Business; Demographic economics; Macroeconomics; Market economy","score_opus":0.01672366719767252,"score_gpt":0.2537615129067672,"score_spread":0.23703784570909467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090752746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99196696,0.000043898955,0.00011957683,0.0049434127,0.00036350015,0.00024996392,0.000041612457,0.000033497516,0.0022375975],"genre_scores_gemma":[0.99101436,0.0028351718,0.001913612,0.0009573706,0.0006961758,0.000016119666,0.0000026590033,0.000036082343,0.0025284498],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99845326,0.0001061485,0.0004799845,0.00033624182,0.000057649686,0.0005667158],"domain_scores_gemma":[0.9990451,0.00007973733,0.0003683164,0.0001877507,0.000023935703,0.00029520298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005086174,0.00018616414,0.000354656,0.00030054862,0.00032412753,0.00047170412,0.0002578759,0.00007702917,0.000054602355],"category_scores_gemma":[0.000092815186,0.0002090071,0.00007455587,0.00011269844,0.00069269375,0.0012231,0.00006614698,0.00030869193,0.00012805164],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051049305,0.00012941689,0.81965953,0.000010111831,0.00012234249,0.000006438884,0.015887195,0.092003375,0.00034034176,0.018083598,0.0127815455,0.04092505],"study_design_scores_gemma":[0.0018694274,0.00028423406,0.57505536,0.000047177196,0.00005983284,0.00027678272,0.037538595,0.27765065,0.00002323806,0.084131196,0.021145966,0.0019175458],"about_ca_topic_score_codex":0.019874811,"about_ca_topic_score_gemma":0.0044206707,"teacher_disagreement_score":0.24460419,"about_ca_system_score_codex":0.0009235473,"about_ca_system_score_gemma":0.0004513861,"threshold_uncertainty_score":0.98665196},"labels":[],"label_agreement":null},{"id":"W2098296388","doi":"10.1257/mac.2.2.165","title":"Accounting for the Rise in Consumer Bankruptcies","year":2010,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":189,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Bankruptcy; Usury; Database transaction; Economics; Monetary economics; Business; Transaction cost; Accounting; Finance","score_opus":0.007804019598898935,"score_gpt":0.23277575834691094,"score_spread":0.22497173874801202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098296388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99478805,0.00012511139,0.0000534484,0.0017055008,0.0016599051,0.00029561404,0.00001065327,0.000030025478,0.0013316809],"genre_scores_gemma":[0.99364394,0.00016013505,0.00077950757,0.002451415,0.0027276045,0.000035779987,0.0000072076705,0.00005576846,0.00013864644],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982173,0.0000101973765,0.00082055444,0.0003416149,0.00006523916,0.00054510846],"domain_scores_gemma":[0.9980382,0.00033682582,0.0011277131,0.0003676677,0.000102256156,0.000027352593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012829442,0.00026678317,0.00047015428,0.0004077042,0.00047275444,0.00090368197,0.0006811927,0.000055112385,0.00071887375],"category_scores_gemma":[0.00021034552,0.00022819504,0.00028131122,0.00018143187,0.00040459953,0.0014121878,0.00016373974,0.00051690306,0.0005203722],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090072754,0.000031238844,0.9556964,0.000014261104,0.00004737377,0.0000039787215,0.00007315291,0.0009311675,0.00016776603,0.010488768,0.0052731945,0.0271826],"study_design_scores_gemma":[0.0011762938,0.000017486727,0.2266348,0.000018484889,0.00015736038,0.00003424044,0.0009086411,0.059650917,0.000035837213,0.0050448235,0.705739,0.0005820753],"about_ca_topic_score_codex":0.0019096896,"about_ca_topic_score_gemma":0.006131118,"teacher_disagreement_score":0.7290616,"about_ca_system_score_codex":0.0001468023,"about_ca_system_score_gemma":0.00010617013,"threshold_uncertainty_score":0.93055236},"labels":[],"label_agreement":null},{"id":"W2104031661","doi":"10.1257/mac.3.2.130","title":"Welfare-Based Optimal Monetary Policy with Unemployment and Sticky Prices: A Linear-Quadratic Framework","year":2011,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Economics; New Keynesian economics; Unemployment; Welfare; Monetary policy; Consumption (sociology); Matching (statistics); Inflation (cosmology); Quadratic equation; Order (exchange); Econometrics; Dispersion (optics); Monetary economics; Macroeconomics; Mathematics","score_opus":0.035587488467767235,"score_gpt":0.23310023524834653,"score_spread":0.19751274678057928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104031661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97566783,0.000732087,0.0136190485,0.003664078,0.00041527112,0.00039633055,0.00031683242,0.00007631629,0.0051122],"genre_scores_gemma":[0.9418808,0.0009622839,0.05346989,0.0027358187,0.00065304484,0.000034631044,0.000015979806,0.00013351331,0.00011399349],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99620175,0.00004468521,0.0016877534,0.0008987994,0.000036149868,0.0011308643],"domain_scores_gemma":[0.99637616,0.00015705603,0.001941546,0.00073665706,0.000017763545,0.0007708281],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000728613,0.0006454359,0.0013418677,0.0007789357,0.00042788146,0.00027291774,0.0006529241,0.00015957723,0.0015207655],"category_scores_gemma":[0.00006702082,0.0006965282,0.00026682124,0.00016517167,0.00076999277,0.0008164677,0.00012543384,0.0007180777,0.0008039231],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002326582,0.00077660655,0.55220115,0.00015443104,0.0028873936,0.00019029646,0.0076412177,0.1590265,0.000004720078,0.2495262,0.0009449809,0.024319887],"study_design_scores_gemma":[0.011863372,0.009149983,0.24679293,0.00029309237,0.000428921,0.0023993768,0.005655111,0.49726036,0.00033469143,0.111401975,0.106528364,0.007891814],"about_ca_topic_score_codex":0.0049278084,"about_ca_topic_score_gemma":0.00014822777,"teacher_disagreement_score":0.33823386,"about_ca_system_score_codex":0.0008178262,"about_ca_system_score_gemma":0.00022872214,"threshold_uncertainty_score":0.9999741},"labels":[],"label_agreement":null},{"id":"W2109890836","doi":"10.1257/mac.4.3.66","title":"Temperature Shocks and Economic Growth: Evidence from the Last Half Century","year":2012,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Culture, Economy, and Development Studies","field":"Social Sciences","cited_by":2209,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Economics; Politics; Agriculture; Climate change; Development economics; Natural resource economics; Monetary economics; Political science; Geography","score_opus":0.01686322224235535,"score_gpt":0.26782191158614377,"score_spread":0.2509586893437884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109890836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9731586,0.005540389,0.000008714755,0.010538117,0.00241938,0.00022067408,0.00006276373,0.000041995532,0.00800938],"genre_scores_gemma":[0.94589,0.046857104,0.00048169208,0.0023548335,0.0041145813,0.00001803926,0.00000646264,0.000032771357,0.0002444839],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99781424,0.00020213079,0.0006595119,0.00040477468,0.00006820094,0.0008511551],"domain_scores_gemma":[0.99769163,0.00085173367,0.00067475316,0.00025954848,0.000037772566,0.00048456524],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0012423755,0.00033211624,0.0005519543,0.00007663382,0.0016335892,0.00066730316,0.0006288637,0.00010398212,0.00055478624],"category_scores_gemma":[0.0001311161,0.00028062466,0.00017874593,0.000050479113,0.0012053321,0.0014779833,0.00021726263,0.00050277,0.00051366317],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004763718,0.000023423116,0.9401547,0.0000029153887,0.00031750355,0.000002124454,0.0187053,0.00005043544,0.000014222463,0.0069795,0.02333287,0.010369422],"study_design_scores_gemma":[0.00061138725,0.000056885743,0.35636237,0.000059337304,0.00010041759,0.00008981824,0.074791715,0.000030967163,0.00005829981,0.0018008519,0.5651605,0.0008774282],"about_ca_topic_score_codex":0.00866195,"about_ca_topic_score_gemma":0.010923234,"teacher_disagreement_score":0.58379227,"about_ca_system_score_codex":0.0011925985,"about_ca_system_score_gemma":0.00046542432,"threshold_uncertainty_score":0.9999646},"labels":[],"label_agreement":null},{"id":"W2111788487","doi":"10.1257/mac.1.1.242","title":"New Keynesian Models: Not Yet Useful for Policy Analysis","year":2008,"lang":"en","type":"preprint","venue":"American Economic Journal Macroeconomics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"New Keynesian economics; Economics; Quarter (Canadian coin); Keynesian economics; Macroeconomics; Macroeconomic model; Positive economics; Monetary policy","score_opus":0.08667386235978278,"score_gpt":0.27212513532674465,"score_spread":0.18545127296696187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111788487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7891283,0.0026724457,0.1416178,0.022340281,0.006711277,0.0020396425,0.013203816,0.00028686816,0.021999542],"genre_scores_gemma":[0.9430818,0.01603458,0.025319332,0.0046950537,0.005750215,0.000114888106,0.00048648234,0.00039250718,0.0041251527],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99145025,0.000071271534,0.0043135216,0.002133069,0.000054373206,0.001977529],"domain_scores_gemma":[0.9895406,0.00034162024,0.0066609224,0.0019846007,0.000032652235,0.0014396157],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0013078622,0.0013734247,0.0045392397,0.0035116312,0.0005471959,0.0009698432,0.0023161909,0.00062671705,0.00060895825],"category_scores_gemma":[0.00013251083,0.0018488998,0.0034045107,0.0003460793,0.0005340052,0.0010872383,0.0006989627,0.0016173617,0.0014520915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004182197,0.00009871702,0.0153878,0.000055291322,0.009326501,0.000017655904,0.0012761528,0.8761589,8.3315496e-7,0.039415702,0.0472914,0.010552846],"study_design_scores_gemma":[0.002699499,0.00038622713,0.006224177,0.000037289417,0.0007603746,0.0003630955,0.00022848239,0.50178325,0.000025975862,0.33572945,0.14850618,0.0032560315],"about_ca_topic_score_codex":0.024739278,"about_ca_topic_score_gemma":0.0009892918,"teacher_disagreement_score":0.37437564,"about_ca_system_score_codex":0.004325074,"about_ca_system_score_gemma":0.0015299387,"threshold_uncertainty_score":0.99990165},"labels":[],"label_agreement":null},{"id":"W2114689746","doi":"10.1257/mac.6.2.1","title":"Resolving Debt Overhang: Political Constraints in the Aftermath of Financial Crises","year":2014,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Fiscal Policies and Political Economy","field":"Economics, Econometrics and Finance","cited_by":232,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Canadian Institute for Advanced Research","funders":"","keywords":"Debt overhang; Economics; Gridlock; Debt; Financial crisis; Politics; Monetary economics; External debt; Economic policy; Financial system; Political economy; Finance; Macroeconomics; Political science","score_opus":0.01519980067497546,"score_gpt":0.2395975171742332,"score_spread":0.22439771649925774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114689746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88966763,0.00019634585,0.00087538885,0.0067283087,0.00063156575,0.00018952534,0.00025847257,0.000015112247,0.10143765],"genre_scores_gemma":[0.9906108,0.0001294864,0.0007545248,0.007706525,0.0006886543,0.000014691311,0.0000050908607,0.000036945035,0.00005332891],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99665403,0.000095439726,0.0017952189,0.00040241357,0.00003199873,0.001020878],"domain_scores_gemma":[0.9975972,0.00057996,0.0010161045,0.00048422266,0.000020541947,0.00030195585],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014059807,0.00029793885,0.0009982612,0.0003410153,0.00014428596,0.00018288607,0.0008093538,0.000103832834,0.0004803854],"category_scores_gemma":[0.00033626318,0.00029639876,0.00034643314,0.00010459085,0.0012102153,0.0003473152,0.00010884854,0.00053783524,0.0003981208],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003139268,0.00006306977,0.057724446,0.000015398675,0.000028204737,0.000004656394,0.0003970771,0.00018500512,0.0000031026957,0.9359779,0.0019065833,0.0036632097],"study_design_scores_gemma":[0.0022663593,0.0006495555,0.2523776,0.00006244548,0.000029893456,0.00053874665,0.0022397356,0.0071077305,0.00007970025,0.5394743,0.19403805,0.001135871],"about_ca_topic_score_codex":0.0013693722,"about_ca_topic_score_gemma":0.00020395716,"teacher_disagreement_score":0.39650354,"about_ca_system_score_codex":0.00045518513,"about_ca_system_score_gemma":0.00013829392,"threshold_uncertainty_score":0.9999488},"labels":[],"label_agreement":null},{"id":"W2117911140","doi":"10.1257/mac.4.1.22","title":"Effects of Fiscal Stimulus in Structural Models","year":2010,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Carleton University; Queen's University; Government of Canada","funders":"","keywords":"Stimulus (psychology); Fiscal policy; Economics; Monetary policy; Fiscal union; Fiscal multiplier; Macroeconomics; Monetary economics; Government spending; Psychology; Cognitive psychology","score_opus":0.014896583035889284,"score_gpt":0.22429755839754845,"score_spread":0.20940097536165916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117911140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99043345,0.00030092945,0.0004621529,0.0005672946,0.0018287628,0.00024173345,0.00015746323,0.000020844785,0.0059873806],"genre_scores_gemma":[0.99588454,0.00043072118,0.002563114,0.0004355269,0.00047547647,0.000011798479,0.000006727755,0.000064014406,0.00012810752],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967675,0.0000312604,0.0018616805,0.0005394171,0.000021344975,0.0007787596],"domain_scores_gemma":[0.9972759,0.0002484117,0.0016670249,0.00046292544,0.000007771258,0.0003379856],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007275662,0.00036914265,0.00124826,0.0006532647,0.00010851419,0.00012228524,0.000698368,0.00014309041,0.00060385966],"category_scores_gemma":[0.00007692312,0.00045235423,0.0003436346,0.00009667959,0.0004644769,0.0009892385,0.00011415946,0.00090082845,0.00043281433],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048285263,0.00025197264,0.48722148,0.00013012868,0.00063035876,0.000066554916,0.0026382562,0.20729256,0.00072054745,0.27283493,0.0015575027,0.026172888],"study_design_scores_gemma":[0.0045607383,0.00047325116,0.21129622,0.000030233487,0.000031397616,0.00053461024,0.00029080996,0.48850635,0.0010261326,0.2862211,0.005590027,0.0014391317],"about_ca_topic_score_codex":0.0026852433,"about_ca_topic_score_gemma":0.000590072,"teacher_disagreement_score":0.28121382,"about_ca_system_score_codex":0.00038568446,"about_ca_system_score_gemma":0.00006665132,"threshold_uncertainty_score":0.9997928},"labels":[],"label_agreement":null},{"id":"W2132403848","doi":"10.1257/mac.2.4.158","title":"The Structure of Tariffs and Long-Term Growth","year":2010,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Endogeneity; Economics; Tariff; Term (time); Econometrics; Monetary economics; Grossman; International economics; Per capita; Macroeconomics","score_opus":0.00731718025443817,"score_gpt":0.21027329311949683,"score_spread":0.20295611286505866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132403848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892421,0.00041942496,0.00008170778,0.0020787823,0.0017165107,0.00014980798,0.00027180059,0.00001791882,0.0060219592],"genre_scores_gemma":[0.997115,0.0008828361,0.0005147768,0.00052121555,0.00077941467,0.000002947786,0.0000059671956,0.000056546487,0.00012127957],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974722,0.000022481765,0.0014229452,0.00045844665,0.000019235991,0.000604674],"domain_scores_gemma":[0.9970953,0.0002491649,0.001824305,0.0004974406,0.000028532895,0.00030527692],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00062676787,0.00031250244,0.00077756064,0.00022912037,0.00043189654,0.00031314872,0.00074432895,0.0001249664,0.00025212648],"category_scores_gemma":[0.000109352484,0.0002992655,0.00022972489,0.00006863785,0.0012468226,0.00047424532,0.0001709214,0.0008415692,0.00017222085],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008646507,0.000025632067,0.603133,0.000017048656,0.00024453443,0.0000029971056,0.00026347328,0.000021327576,0.00029572382,0.38587222,0.0007992177,0.009238323],"study_design_scores_gemma":[0.0014567336,0.0002762542,0.5309464,0.000011282631,0.000032249685,0.00079048035,0.00025625352,0.0009434938,0.0013823567,0.45005947,0.012966755,0.0008782767],"about_ca_topic_score_codex":0.00032746958,"about_ca_topic_score_gemma":0.0008383412,"teacher_disagreement_score":0.07218665,"about_ca_system_score_codex":0.0001611452,"about_ca_system_score_gemma":0.0000894164,"threshold_uncertainty_score":0.99994594},"labels":[],"label_agreement":null},{"id":"W2134962966","doi":"10.1257/mac.20140181","title":"The Firm Size Distribution across Countries and Skill-Biased Change in Entrepreneurial Technology","year":2018,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":151,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Economics; Distribution (mathematics); Dispersion (optics); Econometrics; Technical change; Construct (python library); Technological change; Demographic economics; Macroeconomics; Productivity; Mathematics","score_opus":0.011672405314155787,"score_gpt":0.2575114449112024,"score_spread":0.24583903959704664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134962966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862056,0.00059093646,0.000100206715,0.010410599,0.0013554047,0.00021327227,0.000497332,0.000032801454,0.000593898],"genre_scores_gemma":[0.9946911,0.0025841577,0.00013305436,0.0015813111,0.00081713643,0.000034487435,0.000010362076,0.000031517186,0.000116883755],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977328,0.00002483808,0.0011202085,0.00045610924,0.000020442727,0.0006455641],"domain_scores_gemma":[0.99815184,0.00023286481,0.0011018869,0.00035213892,0.000047583555,0.00011366782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083262566,0.0002361901,0.00051802804,0.00013271952,0.00055360823,0.00039359374,0.00041201053,0.00011068974,0.00023413083],"category_scores_gemma":[0.00019480461,0.00024408846,0.00008629444,0.00022614427,0.0013444192,0.0004380139,0.0001554345,0.00035900736,0.000504219],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018015674,0.00003816266,0.8328879,0.000005527097,0.000085238,0.0000070684378,0.0012759698,0.000009185715,0.0000054172046,0.13287857,0.0011906859,0.03143614],"study_design_scores_gemma":[0.0025471905,0.00044037635,0.529855,0.000019514137,0.0000061074165,0.0002420124,0.0012319454,0.0024871374,0.00015171371,0.044290684,0.4180638,0.000664494],"about_ca_topic_score_codex":0.00046752955,"about_ca_topic_score_gemma":0.0009988773,"teacher_disagreement_score":0.4168731,"about_ca_system_score_codex":0.0005859964,"about_ca_system_score_gemma":0.000060665687,"threshold_uncertainty_score":0.99536383},"labels":[],"label_agreement":null},{"id":"W2152239497","doi":"10.1257/mac.2.1.93","title":"Why Are Saving Rates of Urban Households in China Rising?","year":2008,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":158,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Economics; China; Consumption smoothing; Demographic economics; Nexus (standard); Quarter (Canadian coin); Labour economics; Economic growth; Geography","score_opus":0.011949911637109692,"score_gpt":0.22123101516350507,"score_spread":0.2092811035263954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152239497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99701864,0.00015675364,0.000023478211,0.000457973,0.0004285118,0.00012010671,0.00000884237,0.00003076552,0.0017549217],"genre_scores_gemma":[0.99565846,0.00037641963,0.00042749642,0.002296862,0.0010975522,0.000004155305,0.000009685904,0.000063418855,0.000065943175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99787277,0.00002582637,0.0011440418,0.0003795083,0.0000891166,0.0004887589],"domain_scores_gemma":[0.99730366,0.00005902856,0.0021988538,0.00032994934,0.00006814302,0.00004033859],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00050765986,0.0003092535,0.0008399421,0.00066833146,0.00025042242,0.00018831079,0.0004943904,0.000056032906,0.0003768003],"category_scores_gemma":[0.000059327434,0.0003382226,0.0002877042,0.0003209545,0.00035466504,0.0015262269,0.00017207843,0.0003329781,0.00016827392],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060074166,0.00005494619,0.9884795,0.000017800507,0.000029339859,0.00003352481,0.0001483353,0.0024442673,0.000053873304,0.0004261603,0.007478734,0.000773443],"study_design_scores_gemma":[0.00077030255,0.000029421091,0.9680267,0.00007238967,0.000052352127,0.00006177613,0.0004989562,0.0052415505,0.00006748513,0.00061082223,0.024114825,0.00045341504],"about_ca_topic_score_codex":0.005927993,"about_ca_topic_score_gemma":0.0016551552,"teacher_disagreement_score":0.020452796,"about_ca_system_score_codex":0.00035469118,"about_ca_system_score_gemma":0.00008785423,"threshold_uncertainty_score":0.99990696},"labels":[],"label_agreement":null},{"id":"W2153547836","doi":"10.1257/mac.5.4.1","title":"Time-Varying Effects of Oil Supply Shocks on the US Economy","year":2013,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":526,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"National Science Foundation","keywords":"Economics; Oil supply; Oil price; Demand shock; Supply shock; Oil production; Monetary economics; Aggregate demand; Supply and demand; Econometrics; Macroeconomics; Monetary policy","score_opus":0.006004080695302225,"score_gpt":0.19221939811084252,"score_spread":0.1862153174155403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153547836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91131794,0.0002707793,0.00012447257,0.002591203,0.0006860166,0.00027304242,0.000095332274,0.00002561252,0.0846156],"genre_scores_gemma":[0.99466044,0.0007524378,0.0004144634,0.0022792828,0.0003358662,0.000065923654,0.000009240529,0.000079402336,0.0014029377],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99689054,0.00008297727,0.0017004194,0.0006003103,0.000028428794,0.00069732295],"domain_scores_gemma":[0.99580514,0.0008591596,0.0021750126,0.00082544395,0.00004807627,0.0002871487],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010567869,0.0004215258,0.0011187976,0.00033325015,0.00028623056,0.00032832337,0.00093563914,0.00010423835,0.004319128],"category_scores_gemma":[0.00013517535,0.00040483222,0.00048405718,0.0001079529,0.0005862734,0.00056018104,0.00016658095,0.0006005689,0.0028045846],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034628407,0.0006581799,0.67947507,0.00027069665,0.0022638312,0.00002332203,0.0012602084,0.0066218837,0.00022097664,0.17865025,0.02709857,0.103110746],"study_design_scores_gemma":[0.0044504176,0.0015466823,0.10126883,0.00020029393,0.00010092654,0.00028186906,0.0005714347,0.56006104,0.0007811335,0.20570242,0.12197856,0.0030564144],"about_ca_topic_score_codex":0.0009223099,"about_ca_topic_score_gemma":0.000025464964,"teacher_disagreement_score":0.57820624,"about_ca_system_score_codex":0.00066132046,"about_ca_system_score_gemma":0.000114040304,"threshold_uncertainty_score":0.9998404},"labels":[],"label_agreement":null},{"id":"W2160819617","doi":"10.1257/mac.20130139","title":"Explaining the Evolution of Educational Attainment in the United States","year":2016,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Graduation (instrument); Human capital; Educational attainment; Cohort; Demographic economics; Investment (military); Economics; Cohort effect; Quality (philosophy); Psychology; Political science; Economic growth; Statistics; Mathematics","score_opus":0.014915503871634256,"score_gpt":0.2291369820204098,"score_spread":0.21422147814877554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160819617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96076304,0.00048128236,0.0009859655,0.03306906,0.00062073686,0.00019851216,0.00014266655,0.0000054319057,0.0037332957],"genre_scores_gemma":[0.9973305,0.0009949238,0.0002061286,0.00084184774,0.00040279038,0.000032565153,0.000008753056,0.00002500105,0.00015749822],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997805,0.00011360563,0.0012440062,0.00037062552,0.000024603787,0.00044214597],"domain_scores_gemma":[0.99690443,0.00093136536,0.0015533114,0.0005014949,0.000022376307,0.000086992695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024399988,0.00020585176,0.00047038862,0.00039719997,0.00019759618,0.00009109531,0.0007867669,0.0000424509,0.0004941537],"category_scores_gemma":[0.00014896231,0.00013943,0.00017552068,0.00017087835,0.0005509461,0.00041895255,0.00007414652,0.00026227982,0.00040573886],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068661626,0.00007906051,0.5732538,0.0000060364728,0.00010423174,8.361109e-7,0.0015218216,0.002447765,0.000013185428,0.4162539,0.0021586807,0.0040920028],"study_design_scores_gemma":[0.002242459,0.0004021792,0.39751145,0.0000511877,0.000023919674,0.0002873225,0.013233594,0.00385435,0.00008344093,0.48182997,0.09967043,0.0008096816],"about_ca_topic_score_codex":0.0023243194,"about_ca_topic_score_gemma":0.00037886595,"teacher_disagreement_score":0.17574234,"about_ca_system_score_codex":0.001478116,"about_ca_system_score_gemma":0.00017583523,"threshold_uncertainty_score":0.568579},"labels":[],"label_agreement":null},{"id":"W2182914740","doi":"10.1257/mac.20130108","title":"The Missing Food Problem: Trade, Agriculture, and International Productivity Differences","year":2015,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":117,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Productivity; Agriculture; Economics; International economics; International trade; Open economy; Trade barrier; Agricultural productivity; Market access; Monetary economics; Macroeconomics; Exchange rate","score_opus":0.056408281541307274,"score_gpt":0.22393849834143686,"score_spread":0.16753021680012958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182914740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9440571,0.0029067763,0.00024380974,0.021183332,0.002172705,0.00025856702,0.00014226748,0.00004675532,0.028988658],"genre_scores_gemma":[0.99371755,0.0028352428,0.0014125693,0.0005926897,0.0009547879,0.000018082428,0.000007212237,0.00003888149,0.0004229745],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976342,0.000038977134,0.0011179006,0.000587147,0.000029176796,0.00059261115],"domain_scores_gemma":[0.9977513,0.00011056517,0.0013361598,0.00032316454,0.000028374776,0.00045044482],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0011413327,0.000324027,0.00063108053,0.00014627096,0.00044622892,0.0011213528,0.00072336604,0.00007739623,0.000031600895],"category_scores_gemma":[0.000099681616,0.0002886792,0.0001730338,0.000076657154,0.0005445655,0.00094310124,0.00015697276,0.0004367948,0.00021179016],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023548522,0.00019942014,0.4733027,0.000016863687,0.0012808689,0.000010766566,0.0014883908,0.0012149521,0.000014657591,0.37473834,0.028070867,0.1194267],"study_design_scores_gemma":[0.0017255024,0.0005866448,0.06158965,0.000016615082,0.000029134815,0.0009853999,0.0029819987,0.0022982596,0.000045840126,0.33821958,0.5905128,0.0010085433],"about_ca_topic_score_codex":0.00019786796,"about_ca_topic_score_gemma":0.00028214548,"teacher_disagreement_score":0.56244195,"about_ca_system_score_codex":0.00070420315,"about_ca_system_score_gemma":0.00012051563,"threshold_uncertainty_score":0.99995655},"labels":[],"label_agreement":null},{"id":"W2206922307","doi":"10.1257/mac.20140043","title":"Optimal Intermediary Rents","year":2015,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Wilfrid Laurier University","funders":"","keywords":"Economic rent; Financial intermediary; Social planner; Equity (law); Intermediary; Microeconomics; Intermediation; Pareto principle; Economics; Business; Industrial organization; Monetary economics; Finance; Operations management","score_opus":0.028892837008484423,"score_gpt":0.23888084727698666,"score_spread":0.20998801026850225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2206922307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93575335,0.0008689109,0.0051687118,0.0017995668,0.004463191,0.00019210785,0.0002629706,0.000083489365,0.051407713],"genre_scores_gemma":[0.9887584,0.0008502214,0.005703145,0.0013667804,0.0014440749,0.00002143672,0.000022929924,0.00011904559,0.0017139601],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965695,0.000040778563,0.001787657,0.00071121665,0.000027925078,0.00086289615],"domain_scores_gemma":[0.9965751,0.00008502077,0.0017758503,0.00063855224,0.00004187379,0.0008836114],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015738077,0.00041925636,0.0011094752,0.0004210802,0.00018007189,0.00039465676,0.00093729637,0.00011001358,0.0008078211],"category_scores_gemma":[0.00010019921,0.000526115,0.00037661628,0.000082044295,0.0005482144,0.0010210534,0.00027002295,0.00054332917,0.0065357895],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006769057,0.00029475882,0.12038333,0.000020652653,0.0011490408,0.00009990909,0.004705577,0.04705093,0.000012120152,0.7154696,0.07972558,0.030411623],"study_design_scores_gemma":[0.004702383,0.0009456947,0.0029456718,0.000028741097,0.00003975879,0.0014214844,0.005469598,0.021621916,0.00010850507,0.23927766,0.72135115,0.0020874161],"about_ca_topic_score_codex":0.00042543391,"about_ca_topic_score_gemma":0.000053453034,"teacher_disagreement_score":0.6416256,"about_ca_system_score_codex":0.0015937244,"about_ca_system_score_gemma":0.00025945916,"threshold_uncertainty_score":0.999719},"labels":[],"label_agreement":null},{"id":"W2313695310","doi":"10.1257/mac.20140362","title":"The Exchange Rate Response to Monetary Policy Innovations","year":2016,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Counterfactual thinking; Economics; Market liquidity; Monetary economics; Currency; Monetary policy; Exchange rate; Channel (broadcasting); Developing country; Transmission channel; Transmission (telecommunications); Computer science","score_opus":0.03052075023186578,"score_gpt":0.25142324181484976,"score_spread":0.22090249158298397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313695310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89765286,0.0003799355,0.0023607588,0.09237303,0.0013080137,0.00032481464,0.00063164096,0.000056813322,0.0049121566],"genre_scores_gemma":[0.98092484,0.0028084558,0.0009023647,0.0077630817,0.0016985282,0.000056826248,0.00000475658,0.00010508688,0.005736047],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960601,0.0001443226,0.0018738153,0.00066960254,0.000025075651,0.0012271182],"domain_scores_gemma":[0.9959928,0.0008897994,0.0015191628,0.0009550161,0.000026132577,0.0006171163],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0036729302,0.0004308689,0.0008028111,0.0008995236,0.00081632903,0.00045724225,0.0010937208,0.00008930254,0.0007232992],"category_scores_gemma":[0.0006022979,0.00035018777,0.00032460233,0.0002763424,0.00052204175,0.00083462254,0.0002288178,0.00032195478,0.008936022],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006020277,0.00027481213,0.09914739,0.000021361571,0.0021504823,0.000056524936,0.0035401906,0.017912323,0.0009520851,0.2954148,0.19791475,0.376595],"study_design_scores_gemma":[0.0017565874,0.00046467644,0.050601196,0.000018340439,0.00001063216,0.00023516445,0.00028159466,0.0018553297,0.000096321426,0.035138488,0.90867776,0.0008639054],"about_ca_topic_score_codex":0.0012340575,"about_ca_topic_score_gemma":0.00024109571,"teacher_disagreement_score":0.71076304,"about_ca_system_score_codex":0.0019112303,"about_ca_system_score_gemma":0.00024333977,"threshold_uncertainty_score":0.99989504},"labels":[],"label_agreement":null},{"id":"W2529777983","doi":"10.1257/mac.20150035","title":"Low Real Interest Rates, Collateral Misrepresentation, and Monetary Policy","year":2018,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Collateral; Interest rate; Misrepresentation; Economics; Monetary economics; Incentive; Monetary policy; Asset (computer security); Downgrade; Business; Microeconomics; Finance","score_opus":0.018063373736524772,"score_gpt":0.26267296046029925,"score_spread":0.24460958672377447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529777983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9691598,0.00028393083,0.0006627009,0.0028622847,0.0012704899,0.00020514974,0.0002890762,0.00004714716,0.02521945],"genre_scores_gemma":[0.9896999,0.0038403438,0.0014749181,0.0015052671,0.0024054365,0.000013087725,0.000020152384,0.00008704057,0.00095385744],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969731,0.00004028661,0.0015073816,0.0007365993,0.00001528524,0.00072736107],"domain_scores_gemma":[0.9974897,0.00010183343,0.0014083717,0.0005056153,0.000041810796,0.0004526822],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006830101,0.0003835479,0.00090612954,0.00050869567,0.00038083366,0.00050297147,0.0005093168,0.000100657926,0.0007684723],"category_scores_gemma":[0.00003734081,0.0004788703,0.00020077615,0.00010727031,0.0010985564,0.00084076356,0.00021958911,0.00031374447,0.0014575396],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055462477,0.00013960579,0.21974926,0.000028749884,0.00089657307,0.000027971488,0.0030363777,0.0010886085,0.0001208254,0.7189255,0.010465055,0.044966903],"study_design_scores_gemma":[0.0068038595,0.0021259917,0.09726131,0.00007490467,0.00007018029,0.0019789627,0.004130372,0.03269833,0.0013014823,0.64846516,0.20163327,0.003456174],"about_ca_topic_score_codex":0.0037398196,"about_ca_topic_score_gemma":0.0007829128,"teacher_disagreement_score":0.19116822,"about_ca_system_score_codex":0.0007808307,"about_ca_system_score_gemma":0.00018670678,"threshold_uncertainty_score":0.9997663},"labels":[],"label_agreement":null},{"id":"W2533363307","doi":"10.1257/mac.20170131","title":"Government Spending Multipliers under the Zero Lower Bound: Evidence from Japan","year":2018,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":147,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Zero lower bound; Economics; Government spending; Inflation (cosmology); Monetary economics; Nominal interest rate; Consumer spending; Investment (military); Consumption (sociology); Macroeconomics; Real interest rate; Interest rate; Recession; Welfare","score_opus":0.049075067923825676,"score_gpt":0.2543620901484329,"score_spread":0.20528702222460724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2533363307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9796942,0.0007928355,0.0034967945,0.0039295657,0.004859663,0.00027683424,0.00048323642,0.00004550978,0.0064213914],"genre_scores_gemma":[0.98854524,0.0016445715,0.0014226137,0.0041147154,0.0034409177,0.000016955972,0.000007936146,0.00010809953,0.00069894764],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959445,0.00006974442,0.0018391607,0.0009386683,0.00005901708,0.001148893],"domain_scores_gemma":[0.99558055,0.0005395559,0.0022915846,0.0010856016,0.000012161822,0.0004905196],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015412314,0.00054839917,0.0010334274,0.0001775128,0.0008567062,0.00084043783,0.0013965761,0.00012404032,0.0047100885],"category_scores_gemma":[0.000105308856,0.0005482969,0.0004971599,0.00009834217,0.0012872121,0.001319576,0.00029330084,0.0006755601,0.0101639],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015611302,0.00034503496,0.77242243,0.000021190015,0.0040438236,0.00002664799,0.007398503,0.041602284,0.00035190172,0.047183797,0.07605598,0.048987266],"study_design_scores_gemma":[0.0047314824,0.0021474035,0.33251396,0.00018727069,0.0002273891,0.0007321435,0.010481073,0.1277835,0.0008846256,0.16509719,0.35070708,0.0045068655],"about_ca_topic_score_codex":0.0068905717,"about_ca_topic_score_gemma":0.00095879706,"teacher_disagreement_score":0.4399085,"about_ca_system_score_codex":0.0026338354,"about_ca_system_score_gemma":0.00008331332,"threshold_uncertainty_score":0.9997226},"labels":[],"label_agreement":null},{"id":"W2768992533","doi":"10.1257/mac.20170403","title":"Older Americans Would Work Longer if Jobs Were Flexible","year":2020,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Economic and Social Research Council","keywords":"Work (physics); Labour economics; Identification (biology); Complement (music); Demand side; Survey data collection; Economics; Business; Demographic economics; Microeconomics; Engineering","score_opus":0.13163019708438292,"score_gpt":0.3867270518585055,"score_spread":0.2550968547741226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768992533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93004316,0.00015070025,0.000518155,0.035966035,0.0012366246,0.00037935784,0.000030649007,0.00013218455,0.031543113],"genre_scores_gemma":[0.9839203,0.0016369305,0.0012015228,0.009973436,0.0022095423,0.000022833347,0.0000055922064,0.000070110385,0.00095976086],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970774,0.0002283167,0.0009092483,0.00061512075,0.00016833766,0.0010015848],"domain_scores_gemma":[0.997545,0.00015767699,0.000828014,0.00035861877,0.00005041814,0.0010602413],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007405634,0.0003470969,0.0007161522,0.00009827432,0.00073448283,0.0005157593,0.0009010774,0.00013075788,0.0037271034],"category_scores_gemma":[0.000090174115,0.0003818776,0.00038778406,0.00021516527,0.0017342957,0.0005429631,0.00014792444,0.00081276736,0.0016014775],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002684946,0.00019542262,0.69460076,0.000021943915,0.0004911153,0.00002283079,0.0331765,0.002114715,0.000019381932,0.0051910477,0.058819983,0.2050778],"study_design_scores_gemma":[0.0014892843,0.0005769528,0.05558843,0.000041379855,0.00013918492,0.000025244964,0.08459057,0.00032339312,0.00009588537,0.0029818818,0.8526179,0.0015298608],"about_ca_topic_score_codex":0.0021155023,"about_ca_topic_score_gemma":0.00045887896,"teacher_disagreement_score":0.79379797,"about_ca_system_score_codex":0.0014198015,"about_ca_system_score_gemma":0.00065318675,"threshold_uncertainty_score":0.9998633},"labels":[],"label_agreement":null},{"id":"W2794710575","doi":"10.1257/mac.20160236","title":"Wages, Human Capital, and Barriers to Structural Transformation","year":2018,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human capital; Agriculture; Economics; Sample (material); Labour economics; Large sample; Demographic economics; Geography; Economic growth","score_opus":0.011637161301652713,"score_gpt":0.2316624375325702,"score_spread":0.2200252762309175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794710575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842793,0.00022692574,0.00059579185,0.0030087263,0.0012567102,0.0002642264,0.00022787572,0.000044948058,0.0100955255],"genre_scores_gemma":[0.9953701,0.00018163759,0.0011625829,0.0018409267,0.0011667097,0.0000132397545,0.000010961352,0.000060063663,0.00019379113],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973943,0.00003273358,0.0012056655,0.00067237735,0.00001901323,0.00067591644],"domain_scores_gemma":[0.9977375,0.00004183503,0.0008417756,0.00041503672,0.000032256525,0.00093154155],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00089852087,0.00034446298,0.0007666338,0.00046342987,0.0007130624,0.00040300706,0.00043500698,0.00008186157,0.0012517464],"category_scores_gemma":[0.00007295995,0.00043430855,0.00016147355,0.00009381219,0.0006182159,0.0010559196,0.00009628584,0.00034097146,0.00143614],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002885723,0.000035708978,0.38231018,0.00004170148,0.0005909185,0.000009290547,0.015345332,0.00048093035,0.00046788368,0.5506804,0.005144337,0.04460473],"study_design_scores_gemma":[0.0047527943,0.003327955,0.21127562,0.00004197556,0.00007616538,0.0014771046,0.007975323,0.0050149523,0.0021659967,0.4641882,0.29561913,0.004084787],"about_ca_topic_score_codex":0.0008616337,"about_ca_topic_score_gemma":0.0005271039,"teacher_disagreement_score":0.2904748,"about_ca_system_score_codex":0.0005926094,"about_ca_system_score_gemma":0.000100204365,"threshold_uncertainty_score":0.9998109},"labels":[],"label_agreement":null},{"id":"W2890473629","doi":"10.1257/mac.1.2.55","title":"Hit or Miss? The Effect of Assassinations on Institutions and War","year":2009,"lang":"en","type":"preprint","venue":"American Economic Journal Macroeconomics","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Randomness; Exploit; Politics; Democracy; Affect (linguistics); Set (abstract data type); Political science; Political economy; Genealogy; Computer security; History; Sociology; Law; Computer science; Statistics; Mathematics","score_opus":0.025327969028007383,"score_gpt":0.3637531186624457,"score_spread":0.3384251496344383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890473629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97628164,0.00025074638,0.00020700827,0.013449419,0.0016389393,0.00040167183,0.00016681821,0.000031861015,0.0075719124],"genre_scores_gemma":[0.99304634,0.0044547715,0.00006937728,0.0011818655,0.0009803472,0.000020401221,0.0000055931287,0.000021675678,0.0002196056],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978052,0.0004952057,0.00071665714,0.00037321795,0.00011236571,0.0004973663],"domain_scores_gemma":[0.997306,0.0009158735,0.001002151,0.0003987048,0.00006002687,0.00031722945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013012991,0.00031884498,0.00070366357,0.00018879503,0.0007526784,0.00023592202,0.0008178638,0.00017231103,0.00014577292],"category_scores_gemma":[0.0002859122,0.00023581284,0.00026117355,0.000058619244,0.0020431026,0.00019575574,0.00016100184,0.0010017673,0.00005660842],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009597425,0.00026720596,0.022833386,0.00015168685,0.0012157245,0.00006491013,0.063594945,0.009144012,0.000011450487,0.032090053,0.019698178,0.84996873],"study_design_scores_gemma":[0.006299905,0.01107327,0.08690444,0.0024604104,0.0021813777,0.00076198555,0.27104545,0.0058847307,0.00035546464,0.05567442,0.5518365,0.0055220644],"about_ca_topic_score_codex":0.002438288,"about_ca_topic_score_gemma":0.001741909,"teacher_disagreement_score":0.84444666,"about_ca_system_score_codex":0.000984225,"about_ca_system_score_gemma":0.0012426534,"threshold_uncertainty_score":0.9616168},"labels":[],"label_agreement":null},{"id":"W2891394762","doi":"10.1257/mac.20130302","title":"Offshoring and Directed Technical Change","year":2012,"lang":"en","type":"preprint","venue":"American Economic Journal Macroeconomics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministerio de Ciencia e Innovación; Canadian Institute for Advanced Research","keywords":"Offshoring; Technical change; Technological change; Economics; Labour economics; Welfare; Wage; Business; Outsourcing; Market economy; Macroeconomics","score_opus":0.044698987577974546,"score_gpt":0.24813186894609993,"score_spread":0.20343288136812537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891394762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9550018,0.011790631,0.0003887836,0.0034732698,0.0067550126,0.0007874465,0.000997536,0.00026433615,0.020541204],"genre_scores_gemma":[0.9798422,0.01007711,0.0036848371,0.00083115656,0.004983039,0.000113504284,0.000054124306,0.00020027014,0.00021379703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9949015,0.00007899795,0.002236218,0.0014598151,0.000031242405,0.0012922349],"domain_scores_gemma":[0.99432313,0.00016904622,0.003550993,0.0010868367,0.000034481163,0.0008355369],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001796082,0.00086043915,0.002313581,0.0007198055,0.00032660773,0.0006094685,0.00096141646,0.00044236405,0.00055647676],"category_scores_gemma":[0.00010808307,0.0011404568,0.0005296022,0.00008680698,0.00071891234,0.0009623866,0.0010432558,0.0022435344,0.001181092],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020435391,0.00026622252,0.84247905,0.0002541892,0.0011957951,0.000026967828,0.0016006127,0.0002882415,0.000034655783,0.07834781,0.0050457297,0.0702564],"study_design_scores_gemma":[0.0028791223,0.0004831296,0.44128767,0.00024269421,0.00031023327,0.0024963473,0.0006117721,0.00677214,0.00017117272,0.23771939,0.30007017,0.006956163],"about_ca_topic_score_codex":0.0014825186,"about_ca_topic_score_gemma":0.00022103693,"teacher_disagreement_score":0.40119135,"about_ca_system_score_codex":0.0016460143,"about_ca_system_score_gemma":0.00017070338,"threshold_uncertainty_score":0.9995966},"labels":[],"label_agreement":null},{"id":"W2905441594","doi":"10.1257/mac.20170170","title":"Barriers to Reallocation and Economic Growth: The Effects of Firing Costs","year":2019,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Productivity; Endogenous growth theory; Economics; Aggregate (composite); Growth model; Total factor productivity; Monetary economics; Econometrics; Microeconomics; Macroeconomics; Human capital; Market economy","score_opus":0.004209898306308526,"score_gpt":0.20073328324660242,"score_spread":0.1965233849402939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905441594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878914,0.00036068383,0.0002470801,0.0031199788,0.0015190899,0.00041235078,0.00007441653,0.000018602976,0.0063564004],"genre_scores_gemma":[0.9958072,0.00085586956,0.00048201886,0.0023232126,0.00020457474,0.000018587672,0.000003382981,0.00005027505,0.00025489728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979577,0.000033456603,0.0011401683,0.00045431193,0.000021237543,0.00039310125],"domain_scores_gemma":[0.99768806,0.00029066767,0.0012548446,0.0004205033,0.000031586595,0.00031435274],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00067398365,0.0002464289,0.00067133544,0.00040185484,0.00016847589,0.00017230041,0.00048206685,0.00006317779,0.0004206272],"category_scores_gemma":[0.00017602401,0.00026046234,0.00014427939,0.00011656894,0.0002204104,0.00041871623,0.00013234546,0.00027963112,0.0011928008],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091920214,0.00001721387,0.6719032,0.000067095585,0.0002802238,0.000001855527,0.001023661,0.00084990886,0.00019689157,0.307463,0.002270904,0.015834143],"study_design_scores_gemma":[0.006466011,0.0022634477,0.7872917,0.00021261224,0.000072421695,0.0004502923,0.0029013725,0.01576573,0.004226062,0.06743689,0.11006807,0.0028453763],"about_ca_topic_score_codex":0.00079289946,"about_ca_topic_score_gemma":0.0001167207,"teacher_disagreement_score":0.24002612,"about_ca_system_score_codex":0.0008290036,"about_ca_system_score_gemma":0.00014003796,"threshold_uncertainty_score":0.99998474},"labels":[],"label_agreement":null},{"id":"W2908466666","doi":"10.1257/mac.20170080","title":"Inventory Management, Product Quality, and Cross‑Country Income Differences","year":2019,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Product (mathematics); Welfare; Quality (philosophy); Business; Percentile; Fixed cost; Distribution (mathematics); Agricultural economics; Economics; International economics; Microeconomics; Statistics; Mathematics","score_opus":0.03850991541553517,"score_gpt":0.2623328026569331,"score_spread":0.22382288724139793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908466666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9283878,0.0012208794,0.000033595963,0.00058158656,0.0017150913,0.0003313139,0.00016273833,0.000052906016,0.067514084],"genre_scores_gemma":[0.9911503,0.0043880744,0.0007697965,0.0013142066,0.00045489252,0.000017201628,0.000013461878,0.000075793505,0.0018162344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99619,0.000043163684,0.0018963732,0.0009979649,0.000034860015,0.0008376458],"domain_scores_gemma":[0.9969302,0.00007559026,0.0018926044,0.00069097796,0.000022295219,0.00038833797],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012469457,0.00045973068,0.001238815,0.00044333417,0.00024323369,0.0008246651,0.0008000759,0.00009554702,0.0009204149],"category_scores_gemma":[0.000026087362,0.0005664691,0.00024883365,0.0001167536,0.0005199093,0.0012441552,0.0003270876,0.00049209275,0.003961861],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005446105,0.000037132166,0.8364805,0.000051536164,0.00028398668,0.0000062827576,0.000091093294,0.00025970684,0.0000025758777,0.15998866,0.0003415378,0.0024025282],"study_design_scores_gemma":[0.0018775514,0.00020081332,0.86135656,0.000029887453,0.000021908285,0.00024178585,0.00066280237,0.0012150957,0.000010990879,0.07020688,0.06306522,0.0011105107],"about_ca_topic_score_codex":0.0006123087,"about_ca_topic_score_gemma":0.0000940722,"teacher_disagreement_score":0.08978177,"about_ca_system_score_codex":0.0007449022,"about_ca_system_score_gemma":0.000061931365,"threshold_uncertainty_score":0.9999929},"labels":[],"label_agreement":null},{"id":"W2915794326","doi":"10.1257/mac.20190303","title":"A Theory of Structural Change That Can Fit the Data","year":2022,"lang":"en","type":"preprint","venue":"American Economic Journal Macroeconomics","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Deci-; Preference; Class (philosophy); Aggregate (composite); Econometrics; Consumption (sociology); Revealed preference; Monotonic function; Economics; Mathematical economics; Preference theory; Mathematics; Microeconomics; Computer science; Political science; Sociology; Artificial intelligence","score_opus":0.13001958955907839,"score_gpt":0.2861225809466126,"score_spread":0.1561029913875342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915794326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94260174,0.008465486,0.0004518585,0.006139413,0.0086899325,0.0010919488,0.023931691,0.000061633866,0.008566282],"genre_scores_gemma":[0.9883275,0.006092295,0.0007520741,0.0018604038,0.0016695915,0.000121161895,0.0003814268,0.0002013668,0.00059417885],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9947843,0.00019805561,0.0025566325,0.0014649085,0.000054203876,0.0009418805],"domain_scores_gemma":[0.9883172,0.00044958363,0.0071924566,0.003711233,0.000031392723,0.00029813187],"candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0037615644,0.0007688425,0.002219962,0.00047770844,0.0005728058,0.0004602329,0.0061110784,0.0002063793,0.0047285003],"category_scores_gemma":[0.00008393659,0.00079014595,0.0007152332,0.000087256,0.0011603221,0.0006060913,0.0059354077,0.0021448305,0.00014276446],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004618606,0.0001061208,0.07927791,0.00015920578,0.0033496567,0.000027417593,0.0076181847,0.030724317,0.0000010028908,0.8312047,0.0064830417,0.04058656],"study_design_scores_gemma":[0.0014115211,0.00030376352,0.014770858,0.000057247264,0.00020985294,0.00039053234,0.008164804,0.027362715,0.000012997365,0.7658154,0.17940378,0.0020965463],"about_ca_topic_score_codex":0.0043202783,"about_ca_topic_score_gemma":0.0006289078,"teacher_disagreement_score":0.17292075,"about_ca_system_score_codex":0.0015122431,"about_ca_system_score_gemma":0.0004791339,"threshold_uncertainty_score":0.999455},"labels":[],"label_agreement":null},{"id":"W2922508737","doi":"10.1257/mac.20160078","title":"Employment Adjustment and Part-Time Work: Lessons from the United States and the United Kingdom","year":2019,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"European Social Fund; Fundação para a Ciência e a Tecnologia; Royal Economic Society","keywords":"Economics; Work (physics); Kingdom; Labour economics; Macroeconomics; Demographic economics; Keynesian economics","score_opus":0.03941553480592112,"score_gpt":0.34200733199449695,"score_spread":0.3025917971885758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922508737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9332315,0.00056685513,0.000011764969,0.064041644,0.00084838225,0.00068964163,0.0001234876,0.000035280977,0.00045146563],"genre_scores_gemma":[0.9566543,0.018808043,0.00010422283,0.021348417,0.0010580736,0.00010459428,0.00013188129,0.000088470406,0.0017019606],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99749655,0.0006217621,0.00083153567,0.00035470937,0.00006511128,0.00063035014],"domain_scores_gemma":[0.9957143,0.0026911588,0.00096057047,0.0003960712,0.000049599716,0.00018827306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010602907,0.0003131458,0.0006454569,0.00012889106,0.0012524968,0.00011428707,0.0003532857,0.0000618124,0.00067028694],"category_scores_gemma":[0.00003591655,0.00019052863,0.00010144595,0.000114045695,0.0008678801,0.00014090537,0.0004430071,0.00075360964,0.00044082853],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015329013,0.000053194897,0.8951285,0.00001651207,0.0018099793,0.000005039511,0.013986991,0.0016041398,0.0000056466683,0.014817141,0.054144066,0.016895879],"study_design_scores_gemma":[0.006654449,0.00027895378,0.26121768,0.00018721985,0.00027587306,0.000022561871,0.024953026,0.0026940089,0.000002885415,0.005201288,0.6979438,0.0005682313],"about_ca_topic_score_codex":0.011785831,"about_ca_topic_score_gemma":0.0006591931,"teacher_disagreement_score":0.6437997,"about_ca_system_score_codex":0.00036532892,"about_ca_system_score_gemma":0.00012387068,"threshold_uncertainty_score":0.9947948},"labels":[],"label_agreement":null},{"id":"W3121368852","doi":"10.1257/mac.20150281","title":"Misallocation, Establishment Size, and Productivity","year":2017,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Total factor productivity; Productivity; Econometrics; Partial productivity; Investment (military); Offset (computer science); Macroeconomics","score_opus":0.01591923476030734,"score_gpt":0.23312748833990873,"score_spread":0.21720825357960138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121368852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9569348,0.00058813713,0.00038100278,0.010764102,0.0020187094,0.00026841188,0.00014006688,0.00004045819,0.028864305],"genre_scores_gemma":[0.9932142,0.0018386911,0.0022058936,0.0005170827,0.0011637704,0.000022682088,0.0000040709597,0.0000642661,0.0009693351],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972069,0.00003534763,0.0011194684,0.0009613415,0.000022287604,0.0006546307],"domain_scores_gemma":[0.99530846,0.00013703619,0.002813039,0.0012869142,0.000037443693,0.00041709744],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0018441086,0.0003668682,0.0009303229,0.00021564309,0.0011563866,0.0013646056,0.000894501,0.00008235118,0.00037509587],"category_scores_gemma":[0.0005682894,0.0004666636,0.00018528434,0.000033906832,0.0009534616,0.0020447653,0.00030045866,0.00045881257,0.0007691562],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112495916,0.000114835035,0.8517925,0.000028017252,0.00031586387,0.00000914704,0.0004801764,0.00016445311,0.000047469977,0.09787568,0.002705069,0.046354275],"study_design_scores_gemma":[0.0017868695,0.00027300793,0.6537139,0.000016445476,0.000029769395,0.00049487315,0.00033289305,0.0010567055,0.00027469356,0.12234392,0.21845582,0.001221139],"about_ca_topic_score_codex":0.0016316058,"about_ca_topic_score_gemma":0.00037587847,"teacher_disagreement_score":0.21575074,"about_ca_system_score_codex":0.0005739272,"about_ca_system_score_gemma":0.00014132932,"threshold_uncertainty_score":0.9997785},"labels":[],"label_agreement":null},{"id":"W3122247972","doi":"10.1257/mac.2.2.125","title":"Housing Market Spillovers: Evidence from an Estimated DSGE Model","year":2010,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1397,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business cycle; Economics; Volatility (finance); Dynamic stochastic general equilibrium; Investment (military); Quarter (Canadian coin); Monetary economics; Consumption (sociology); Monetary policy; Labour economics; Macroeconomics; Financial economics","score_opus":0.03437677566435901,"score_gpt":0.2692119594492728,"score_spread":0.23483518378491378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122247972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96074766,0.00017814108,0.004871015,0.0011013796,0.0030937707,0.00023053533,0.00042329988,0.00015931284,0.029194897],"genre_scores_gemma":[0.9614782,0.0024195057,0.032999028,0.0012690541,0.001328255,0.000014834972,0.000031527077,0.00021044479,0.0002492041],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9954159,0.000053205767,0.0021084594,0.001242546,0.000042657623,0.0011372005],"domain_scores_gemma":[0.9951545,0.00030559112,0.002417531,0.0012487558,0.000050657432,0.00082298106],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0019031919,0.0006510831,0.0013970594,0.0005415909,0.00050741766,0.0011789735,0.0013806127,0.00025244016,0.0035356048],"category_scores_gemma":[0.00023882807,0.000859361,0.00043229203,0.00013310112,0.00064564263,0.0030766996,0.00024683934,0.0012774589,0.0019965644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010829781,0.00047028612,0.7365975,0.000034934903,0.00089478225,0.00008740196,0.0024459248,0.09640324,0.0013661388,0.023566652,0.0135376,0.123512566],"study_design_scores_gemma":[0.001319496,0.0002347337,0.019595996,0.000051480674,0.000055684322,0.00018446859,0.0004238471,0.9052658,0.00017937642,0.05652786,0.014429077,0.0017321935],"about_ca_topic_score_codex":0.0028013967,"about_ca_topic_score_gemma":0.0020058185,"teacher_disagreement_score":0.80886257,"about_ca_system_score_codex":0.0009778779,"about_ca_system_score_gemma":0.000364363,"threshold_uncertainty_score":0.9998579},"labels":[],"label_agreement":null},{"id":"W3122291774","doi":"10.1257/mac.4.2.153","title":"Rebalancing Frequency and the Welfare Cost of Inflation","year":2012,"lang":"en","type":"preprint","venue":"American Economic Journal Macroeconomics","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Friedman rule; Inflation (cosmology); Bond; Welfare; Fixed cost; Fixed income; Monetary economics; Fixed exchange rates; Benchmark (surveying); Quarter (Canadian coin); Cash; Monetary policy; Econometrics; Microeconomics; Macroeconomics; Finance","score_opus":0.015172847888136784,"score_gpt":0.2235341210325735,"score_spread":0.20836127314443673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122291774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9525789,0.007948314,0.003379241,0.0055158744,0.003997839,0.0009398695,0.0011570585,0.000039805043,0.02444307],"genre_scores_gemma":[0.98905617,0.007315286,0.001887149,0.000401689,0.0010085735,0.00006003268,0.000038066675,0.00010352212,0.00012949877],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9958255,0.000090956666,0.002715109,0.00066985167,0.000026228265,0.00067234546],"domain_scores_gemma":[0.99237937,0.00025604633,0.006130439,0.00090355705,0.000048109723,0.0002824761],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028054954,0.00053740945,0.0020148566,0.0003496219,0.0003247653,0.00032614163,0.0008681233,0.00024994093,0.00048076146],"category_scores_gemma":[0.00009961359,0.0005381291,0.0005351277,0.000051669245,0.0013597235,0.0005095701,0.0007327803,0.0011773765,0.00016134852],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001742378,0.000028321954,0.039276127,0.00007464551,0.0006056109,0.0000014774885,0.0017391774,0.007218992,0.0000022680467,0.9408573,0.00024766914,0.009774168],"study_design_scores_gemma":[0.006066653,0.00014660011,0.026043313,0.00014468965,0.00024588848,0.0004190444,0.0028559659,0.018247254,0.00004351128,0.8963753,0.047321245,0.0020905351],"about_ca_topic_score_codex":0.0026370923,"about_ca_topic_score_gemma":0.00016621564,"teacher_disagreement_score":0.047073577,"about_ca_system_score_codex":0.0008910894,"about_ca_system_score_gemma":0.00016673532,"threshold_uncertainty_score":0.99970704},"labels":[],"label_agreement":null},{"id":"W3122330133","doi":"10.1257/mac.20170441","title":"Higher Taxes at the Top: The Role of Entrepreneurs","year":2021,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Economics; Welfare; Distribution (mathematics); Labour economics; Income tax; Tax rate; Demographic economics; Monetary economics; Public economics; Market economy","score_opus":0.011069791181623271,"score_gpt":0.20768894915325822,"score_spread":0.19661915797163496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122330133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9092469,0.003726979,0.00002452016,0.009996052,0.0013545527,0.00014131123,0.00055263436,0.000016665774,0.07494038],"genre_scores_gemma":[0.9927018,0.0008378939,0.0001304453,0.002554406,0.00085075165,0.000015824326,0.000012965139,0.000058020396,0.002837847],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973092,0.0000713548,0.0014510832,0.0005240365,0.0000276684,0.0006166262],"domain_scores_gemma":[0.99669605,0.0003538373,0.0018127417,0.0009234109,0.00003059697,0.00018333005],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007469529,0.00030113634,0.0007921663,0.00012137062,0.00044023257,0.00021134656,0.0008870339,0.00007932707,0.0032326037],"category_scores_gemma":[0.00006708521,0.00024798687,0.0005196086,0.000119640936,0.0008267971,0.0003161883,0.00037771332,0.00044328682,0.0017448551],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108433625,0.00010415963,0.47061858,0.000010893098,0.00077710685,0.0000091530155,0.0010933967,0.0019368597,0.000116427145,0.4915032,0.014798369,0.018923393],"study_design_scores_gemma":[0.0008116096,0.000081835635,0.07812661,0.000008613753,0.00003992008,0.00025802906,0.0015352768,0.00073248096,0.0019477294,0.2907753,0.6251585,0.00052408973],"about_ca_topic_score_codex":0.0005046845,"about_ca_topic_score_gemma":0.00025146984,"teacher_disagreement_score":0.61036015,"about_ca_system_score_codex":0.00057952956,"about_ca_system_score_gemma":0.00013009294,"threshold_uncertainty_score":0.99999726},"labels":[],"label_agreement":null},{"id":"W3122426955","doi":"10.1257/mac.20130234","title":"The Few Leading the Many: Foreign Affiliates and Business Cycle Comovement","year":2015,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Multinational corporation; Exploit; Business cycle; Business; International trade; International economics; Economics; Macroeconomics; Finance","score_opus":0.019972065269302,"score_gpt":0.23468134614989955,"score_spread":0.21470928088059754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122426955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94492936,0.005586314,0.0004898092,0.010103544,0.0013751001,0.00023868801,0.00012081242,0.000027059728,0.037129294],"genre_scores_gemma":[0.9891659,0.006658045,0.0002792547,0.002128368,0.0006512667,0.00001914415,0.0000036229635,0.000045327844,0.0010490667],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99796516,0.000038824808,0.0009891423,0.0003413854,0.000030703726,0.00063476356],"domain_scores_gemma":[0.9979627,0.00018720677,0.001111763,0.0004180014,0.000052698644,0.00026762046],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0014995023,0.00027857578,0.00059272605,0.00010691863,0.00078494364,0.0010770574,0.0006678068,0.000051205134,0.000034750952],"category_scores_gemma":[0.00010903804,0.00021507747,0.00015093411,0.00012307178,0.00067771116,0.0005060986,0.0002148271,0.0003082936,0.0005531705],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006702769,0.000027640812,0.055307377,0.000005869061,0.00017400284,0.0000045405914,0.0008818421,0.0027063703,0.000001816107,0.89876974,0.020292807,0.021760982],"study_design_scores_gemma":[0.00073346845,0.00015700985,0.02026273,0.000010793731,0.000019101028,0.00019057753,0.004970878,0.002650058,0.000018969002,0.17595267,0.7945769,0.0004568773],"about_ca_topic_score_codex":0.0017321003,"about_ca_topic_score_gemma":0.00045001536,"teacher_disagreement_score":0.77428406,"about_ca_system_score_codex":0.00054235413,"about_ca_system_score_gemma":0.0001118727,"threshold_uncertainty_score":0.99995995},"labels":[],"label_agreement":null},{"id":"W3122446134","doi":"10.1257/mac.20180461","title":"Advertising, Innovation, and Economic Growth","year":2021,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Microfoundations; Economics; Growth model; Channel (broadcasting); Econometrics; Empirical evidence; Advertising; Microeconomics; Business; Telecommunications; Computer science; Macroeconomics","score_opus":0.012028136413540098,"score_gpt":0.22626654147169448,"score_spread":0.2142384050581544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122446134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95811677,0.00089589006,0.0017309682,0.006318004,0.0016038709,0.00011319632,0.00025466594,0.000058584403,0.030908039],"genre_scores_gemma":[0.98699135,0.0019366974,0.0039951806,0.004919132,0.0006824352,0.000011053674,0.000035967005,0.000086473425,0.001341686],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99680173,0.000033288794,0.0018690475,0.00071925577,0.000023323846,0.00055334956],"domain_scores_gemma":[0.9975827,0.00008782824,0.0016051461,0.00041026698,0.000103258004,0.00021081003],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006286163,0.0003372163,0.0008265653,0.0006521527,0.0003144728,0.0005149557,0.00033402917,0.00010097813,0.0019193055],"category_scores_gemma":[0.00012883189,0.00045908522,0.00015678776,0.00028582246,0.00036363883,0.0008658784,0.00016350167,0.00044024497,0.0018122556],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022124483,0.000033550783,0.1982439,0.000011887801,0.00018760619,0.00001926615,0.00019795742,0.0001238446,0.00003419648,0.78755516,0.0060268836,0.007543629],"study_design_scores_gemma":[0.0035523751,0.00028315355,0.16959402,0.000036254187,0.000028719089,0.0026540204,0.0010793585,0.004966699,0.0013076223,0.3821955,0.43226188,0.0020404023],"about_ca_topic_score_codex":0.00031028534,"about_ca_topic_score_gemma":0.0001256492,"teacher_disagreement_score":0.426235,"about_ca_system_score_codex":0.0008621727,"about_ca_system_score_gemma":0.00030918224,"threshold_uncertainty_score":0.9997861},"labels":[],"label_agreement":null},{"id":"W3122876909","doi":"10.1257/mac.6.1.70","title":"Some Evidence on the Importance of Sticky Wages","year":2013,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":280,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Wage; Economics; Sample (material); Econometrics; Current Population Survey; Hazard; Population; Survey of Income and Program Participation; Labour economics; Demographic economics; Biology; Demography; Physics","score_opus":0.06180213256812427,"score_gpt":0.24671009447705042,"score_spread":0.18490796190892614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122876909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97995543,0.0015746817,0.0001059175,0.012081959,0.00085167115,0.00037309236,0.00014964695,0.000025125872,0.004882499],"genre_scores_gemma":[0.9888188,0.0034066648,0.0004930115,0.0057964213,0.0008635103,0.000040667557,0.0000032334844,0.00006414802,0.0005135109],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99667054,0.0000586559,0.0019278163,0.00055290206,0.000031363634,0.000758731],"domain_scores_gemma":[0.99528867,0.0007630105,0.0027117312,0.0009138238,0.00001987591,0.00030291802],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013025043,0.00038812228,0.0010226642,0.00031646853,0.00025632797,0.0002744217,0.0010911579,0.00008062787,0.0044117365],"category_scores_gemma":[0.00026955223,0.00035384687,0.00041455997,0.00008384754,0.0006578065,0.0013595341,0.00012811608,0.0005389408,0.00747192],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015901367,0.00017469423,0.46790713,0.00004014838,0.00091235887,0.000009576814,0.001032748,0.016331501,0.00010253384,0.44607317,0.057145372,0.010111752],"study_design_scores_gemma":[0.0019848482,0.0019052755,0.34462872,0.00018869687,0.0000726721,0.00044336572,0.0025533289,0.03992968,0.001237627,0.56550825,0.039002035,0.002545516],"about_ca_topic_score_codex":0.0015153848,"about_ca_topic_score_gemma":0.00004033713,"teacher_disagreement_score":0.12327838,"about_ca_system_score_codex":0.0006035208,"about_ca_system_score_gemma":0.000083469575,"threshold_uncertainty_score":0.99989134},"labels":[],"label_agreement":null},{"id":"W3122940964","doi":"10.1257/mac.20160241","title":"Multidimensional Skill Mismatch","year":2020,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Earnings; Decile; Human capital; Wage; Portfolio; Productivity; Dreyfus model of skill acquisition; Econometrics; Empirical evidence; Economics; Bayesian probability; Psychology; Labour economics; Statistics; Mathematics","score_opus":0.01845950551480478,"score_gpt":0.2272502560730454,"score_spread":0.20879075055824062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122940964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9690315,0.0003930601,0.0040690266,0.012845961,0.001137307,0.00017548204,0.00049098104,0.00007501605,0.011781666],"genre_scores_gemma":[0.98401034,0.0006637269,0.0065276003,0.0074878996,0.0009614037,0.000009136967,0.000022519751,0.00008944584,0.00022791623],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99682754,0.000049011167,0.0016782153,0.0007309759,0.000035184363,0.0006790419],"domain_scores_gemma":[0.9971063,0.00014172807,0.0016193432,0.00039464928,0.000040226263,0.0006977251],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00086222484,0.00037730174,0.0010252757,0.00016582992,0.00024235717,0.00023992626,0.00061572966,0.000091917726,0.0018376812],"category_scores_gemma":[0.00013846353,0.00045693037,0.00040455448,0.00013440668,0.00028806893,0.00051459315,0.00018961837,0.00057241606,0.004209408],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003414257,0.000192546,0.18545426,0.00003774243,0.0007402678,0.00012484103,0.0022084247,0.0072298986,0.00008593582,0.78074974,0.009117162,0.013717766],"study_design_scores_gemma":[0.0053257965,0.0009557389,0.041654367,0.000029331895,0.000058711386,0.00065182464,0.0022166066,0.10348357,0.00016815255,0.20903441,0.6330962,0.0033252432],"about_ca_topic_score_codex":0.00035492211,"about_ca_topic_score_gemma":0.00002569039,"teacher_disagreement_score":0.6239791,"about_ca_system_score_codex":0.0005508302,"about_ca_system_score_gemma":0.00013389818,"threshold_uncertainty_score":0.9997882},"labels":[],"label_agreement":null},{"id":"W3123468508","doi":"10.1257/mac.20150222","title":"Land Reform and Productivity: A Quantitative Analysis with Micro Data","year":2020,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Productivity; Agricultural economics; Land reform; Agriculture; Agricultural land; Context (archaeology); Land use; Transferability; Distribution (mathematics); Agricultural productivity; Economics; Business; Natural resource economics; Geography; Economic growth; Ecology","score_opus":0.02647379605466664,"score_gpt":0.23359632206615685,"score_spread":0.20712252601149023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123468508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827089,0.00007874857,0.00003369625,0.016510252,0.00004678814,0.00008415701,0.00022698162,0.000016960523,0.0002935218],"genre_scores_gemma":[0.9966887,0.0007050329,0.0012251076,0.0007510795,0.00044908535,0.0000015018335,0.00007965297,0.000002427782,0.00009740533],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901915,0.000026950525,0.00026354886,0.0004136699,0.000034820434,0.00024188639],"domain_scores_gemma":[0.9992374,0.0000456896,0.0003546146,0.00010208487,0.000018313542,0.00024185352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019927353,0.00015368008,0.00041389465,0.000022485805,0.00022408133,0.0001923997,0.00036301464,0.000025710884,0.0000929733],"category_scores_gemma":[0.0000057313096,0.000035062196,0.000064659536,0.00014707397,0.00025851285,0.00043080046,0.00014978494,0.00017641151,0.000025663145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009724835,0.00010416225,0.54370743,0.000014337619,0.0036003324,0.000053021788,0.0012025929,0.00059321773,0.0025959075,0.000491159,0.00066930667,0.44599608],"study_design_scores_gemma":[0.0015927892,0.0043516844,0.5034299,0.000021830841,0.0011804836,0.00090856315,0.0099475,0.01903393,0.0005557348,0.0009809037,0.45630956,0.0016871287],"about_ca_topic_score_codex":0.0015736945,"about_ca_topic_score_gemma":0.0050589135,"teacher_disagreement_score":0.45564023,"about_ca_system_score_codex":0.00008858954,"about_ca_system_score_gemma":0.000033139837,"threshold_uncertainty_score":0.28229925},"labels":[],"label_agreement":null},{"id":"W3124303392","doi":"10.1257/mac.20130326","title":"Moving to a Job: The Role of Home Equity, Debt, and Access to Credit","year":2017,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Home equity; Relocation; Equity (law); Great recession; Debt; Foreclosure; Labour economics; Economics; Loan; Consumption (sociology); Construct (python library); Business; Finance; Political science","score_opus":0.0257989373855872,"score_gpt":0.2787410789797429,"score_spread":0.2529421415941557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124303392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.926493,0.00021806834,0.00044166777,0.0057586646,0.0012200526,0.00032287472,0.00014394676,0.000020526786,0.065381184],"genre_scores_gemma":[0.99459714,0.0012556253,0.001501424,0.0016286356,0.0007595151,0.0000248903,0.0000014902641,0.00008308941,0.0001481929],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971529,0.000026671982,0.0013908865,0.0006411215,0.000030499177,0.0007579182],"domain_scores_gemma":[0.99598205,0.00016469101,0.0020894052,0.0011584107,0.000038251903,0.00056717964],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0016964915,0.00035212954,0.0010721675,0.00043046166,0.00088254834,0.0021090335,0.0025417132,0.00008180747,0.00023069391],"category_scores_gemma":[0.00023048357,0.0003776052,0.00023943177,0.0000663436,0.0004815526,0.0011627761,0.001983513,0.00036177828,0.0005671898],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017678992,0.000038380673,0.7887629,0.000015552674,0.00024847346,0.000004966601,0.0010138509,0.0021584153,0.000051695042,0.03857142,0.0019025494,0.16705501],"study_design_scores_gemma":[0.0017110438,0.00069156266,0.564986,0.00008492144,0.000067475405,0.00034144765,0.0019571309,0.0090228785,0.0004108165,0.20918019,0.20958684,0.0019597032],"about_ca_topic_score_codex":0.0019812477,"about_ca_topic_score_gemma":0.0011416097,"teacher_disagreement_score":0.2237769,"about_ca_system_score_codex":0.0004678325,"about_ca_system_score_gemma":0.00013884908,"threshold_uncertainty_score":0.99986756},"labels":[],"label_agreement":null},{"id":"W3125443048","doi":"10.1257/mac.20190332","title":"On the Macroeconomic Consequences of Over-Optimism","year":2018,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; University of British Columbia","funders":"","keywords":"Optimism; Economics; Debt; Recession; Optimism bias; Public economics; Macroeconomics; Psychology; Social psychology","score_opus":0.038962894925241284,"score_gpt":0.24629262023459672,"score_spread":0.20732972530935545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125443048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9516708,0.00023748961,0.00035691145,0.0046913587,0.0016680025,0.00026911066,0.00048148163,0.000034292054,0.040590502],"genre_scores_gemma":[0.99212706,0.0006799748,0.00074649305,0.0047080065,0.0010492102,0.000017175591,0.0000063727093,0.00008006372,0.0005856202],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961464,0.000076134835,0.0021501498,0.0006960779,0.00003238992,0.0008988951],"domain_scores_gemma":[0.99508953,0.0005395056,0.0030674823,0.00095126976,0.00002425362,0.0003279702],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016879819,0.00048234756,0.0012073743,0.00048592273,0.00047079823,0.000253802,0.00126593,0.00011514528,0.00832986],"category_scores_gemma":[0.00014668683,0.00045962687,0.0005190866,0.000114339426,0.0029193666,0.0005345843,0.00014039058,0.0005414355,0.006212065],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049021764,0.00015399384,0.04477267,0.000017140512,0.0011222602,0.000010652291,0.0014101752,0.0077632284,0.00017368136,0.9002452,0.03784899,0.0059917998],"study_design_scores_gemma":[0.0040032864,0.0038632264,0.032035884,0.00009820594,0.00009152531,0.0009997102,0.0020111075,0.03696604,0.005476776,0.74576396,0.16581154,0.0028787681],"about_ca_topic_score_codex":0.0015183452,"about_ca_topic_score_gemma":0.00012095062,"teacher_disagreement_score":0.15448125,"about_ca_system_score_codex":0.0007111175,"about_ca_system_score_gemma":0.00014848929,"threshold_uncertainty_score":0.9997941},"labels":[],"label_agreement":null},{"id":"W3125454136","doi":"10.1257/mac.20190338","title":"How Sticky Wages in Existing Jobs Can Affect Hiring","year":2014,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Flexibility (engineering); Matching (statistics); Wage; Labour economics; Economics; Affect (linguistics); Value (mathematics); Great recession; Recession; Efficiency wage; Computer science","score_opus":0.022063226228119102,"score_gpt":0.24058322527612674,"score_spread":0.21851999904800765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125454136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97778094,0.00025528294,0.0038481578,0.0038511902,0.0013283814,0.00019031132,0.00017880542,0.00004953956,0.012517397],"genre_scores_gemma":[0.9945994,0.0006391999,0.0025187037,0.0008862441,0.0007476798,0.000017845285,0.000012997194,0.00009920327,0.00047871043],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99663156,0.00012108637,0.0014673831,0.00077827286,0.000034672667,0.00096703187],"domain_scores_gemma":[0.99676895,0.00040738127,0.0018495935,0.00059541984,0.000029847699,0.00034879535],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002792555,0.00044017957,0.0012544909,0.0005781743,0.0002374171,0.00082841975,0.00072071253,0.00010921412,0.00012371065],"category_scores_gemma":[0.0004341669,0.00054423127,0.0002993235,0.00017363246,0.00028824637,0.0005892713,0.0001811588,0.00070691446,0.00016582578],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005660932,0.0000713047,0.6226715,0.000035933197,0.00015080109,0.000026413703,0.00045229687,0.004878311,0.000025326277,0.3197442,0.00017267201,0.051714655],"study_design_scores_gemma":[0.0049418267,0.00071901537,0.39464232,0.00013719402,0.000046066547,0.00043959558,0.002239914,0.09840179,0.000110372675,0.39804778,0.09684968,0.003424432],"about_ca_topic_score_codex":0.0017097505,"about_ca_topic_score_gemma":0.0019297242,"teacher_disagreement_score":0.22802915,"about_ca_system_score_codex":0.0014381907,"about_ca_system_score_gemma":0.00009840155,"threshold_uncertainty_score":0.9997009},"labels":[],"label_agreement":null},{"id":"W3135045448","doi":"10.1257/mac.20210120","title":"Why Didn’t the College Premium Rise Everywhere? Employment Protection and On-the-Job Investment in Skills","year":2024,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institutes of Health; National Science Foundation","keywords":"Investment (military); Incentive; Wage; Labour economics; Economics; Business; Market economy; Political science","score_opus":0.013228207840381185,"score_gpt":0.22436071241273695,"score_spread":0.21113250457235577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135045448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9629076,0.0012805553,0.00028773656,0.02747817,0.0013551076,0.00069182686,0.00042616014,0.00003393249,0.0055389004],"genre_scores_gemma":[0.9891353,0.0026975523,0.00012229476,0.006747236,0.00037438,0.00014086136,0.0000030693457,0.00006933449,0.0007099458],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974474,0.00013201841,0.0012319462,0.0006250258,0.00003831122,0.0005253414],"domain_scores_gemma":[0.99830586,0.00037301471,0.0006303367,0.00050324557,0.000015990625,0.00017157028],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002360885,0.00034040943,0.0005772429,0.00030370848,0.0002950104,0.0005803522,0.0004732301,0.00007852185,0.00028504946],"category_scores_gemma":[0.00007718039,0.00026859803,0.00019864264,0.00019293361,0.00039848464,0.0003672857,0.00015186153,0.0007389322,0.00026379785],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015359225,0.00018894154,0.046341155,0.000046694462,0.0005427176,0.000047800844,0.0014655646,0.0029476164,0.000013136576,0.92300314,0.012743039,0.012506616],"study_design_scores_gemma":[0.001070395,0.00048635164,0.042614255,0.00012580155,0.000032554934,0.00022470744,0.0010554916,0.037946742,0.000034742912,0.36072323,0.5547351,0.0009505951],"about_ca_topic_score_codex":0.0016449008,"about_ca_topic_score_gemma":0.0009986812,"teacher_disagreement_score":0.5622799,"about_ca_system_score_codex":0.0015347217,"about_ca_system_score_gemma":0.00013118233,"threshold_uncertainty_score":0.99997663},"labels":[],"label_agreement":null},{"id":"W3137528812","doi":"10.1257/mac.20200057","title":"Labor Market Responses to Unemployment Insurance: The Role of Heterogeneity","year":2023,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Incentive; Unemployment; Receipt; Economics; Labour economics; Scope (computer science); Matching (statistics); Value (mathematics); Differential (mechanical device); Microeconomics; Macroeconomics","score_opus":0.01577734196610129,"score_gpt":0.25686456559849263,"score_spread":0.24108722363239135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137528812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98778826,0.00042106025,0.0000881026,0.003880466,0.0008989369,0.000288588,0.0020822936,0.00005065741,0.004501639],"genre_scores_gemma":[0.9955269,0.0018750678,0.00038691075,0.0012578212,0.00027912727,0.00003918828,0.000008986563,0.00006690643,0.00055910175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970319,0.00012380187,0.0016176148,0.00052066986,0.00004553522,0.0006604697],"domain_scores_gemma":[0.9970629,0.00039991885,0.00143846,0.00076360395,0.000055490218,0.00027962597],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029580723,0.00030034484,0.00085179164,0.00044635785,0.0002542867,0.000190999,0.00093832955,0.000066257286,0.00035100346],"category_scores_gemma":[0.00020131888,0.00029257208,0.00032270333,0.0004167123,0.00030462068,0.0002447246,0.0002876194,0.0003182351,0.0008933124],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033021462,0.000054889177,0.9162361,0.000010538079,0.00028465933,0.000007153014,0.00050454616,0.0026560863,0.000056267298,0.063690275,0.0017072656,0.01446202],"study_design_scores_gemma":[0.00078239647,0.0003282028,0.6794689,0.000019774801,0.000015681546,0.00006326608,0.0013459623,0.0065212226,0.00034602615,0.1102755,0.20012829,0.00070472574],"about_ca_topic_score_codex":0.0006912733,"about_ca_topic_score_gemma":0.00020477662,"teacher_disagreement_score":0.23676713,"about_ca_system_score_codex":0.0004960587,"about_ca_system_score_gemma":0.00013848512,"threshold_uncertainty_score":0.9999526},"labels":[],"label_agreement":null},{"id":"W3148246334","doi":"10.1257/mac.20200318","title":"Hours, Occupations, and Gender Differences in Labor Market Outcomes","year":2022,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Nonmarket forces; Narrative; Productivity; Welfare; Economics; Labour economics; Demographic economics; Microeconomics; Factor market; Economic growth; Market economy","score_opus":0.019440230072018953,"score_gpt":0.28115637086522927,"score_spread":0.2617161407932103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3148246334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99069077,0.0002604794,0.000052923522,0.0018733019,0.0008556347,0.00015923823,0.00018062064,0.000025599713,0.0059014084],"genre_scores_gemma":[0.99369293,0.0031491753,0.0006259052,0.0016755116,0.00016993319,0.000024454728,0.0000051455213,0.000024330619,0.00063263916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99815845,0.00036820944,0.000523325,0.00031947636,0.00010436199,0.0005261706],"domain_scores_gemma":[0.99883276,0.00027200437,0.00046381028,0.00017533102,0.000022430078,0.00023363292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011735532,0.00018741316,0.0004408403,0.0002816502,0.0008993212,0.0002273952,0.00046190264,0.000037831283,0.0008448901],"category_scores_gemma":[0.0000499949,0.00021259954,0.00009417938,0.00013267486,0.0004885601,0.00030962925,0.00016127696,0.00044011045,0.000016745485],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021443913,0.000035334233,0.98329854,0.0000015173385,0.000052424293,0.000006965295,0.0059818574,0.0004156621,6.418904e-7,0.0044886875,0.0011771411,0.0045197825],"study_design_scores_gemma":[0.00045443745,0.000054181903,0.92211944,0.0000013640129,0.000013665086,0.000025771009,0.06269092,0.00077561906,9.270544e-8,0.004711008,0.008888991,0.00026447853],"about_ca_topic_score_codex":0.0028385585,"about_ca_topic_score_gemma":0.0039047292,"teacher_disagreement_score":0.061179075,"about_ca_system_score_codex":0.0009915375,"about_ca_system_score_gemma":0.0006239729,"threshold_uncertainty_score":0.9250954},"labels":[],"label_agreement":null},{"id":"W3164052739","doi":"10.1257/mac.20190340","title":"Dynamic Capital Tax Competition under the Source Principle","year":2022,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Queen's University","keywords":"Economics; Tax competition; Capital (architecture); Externality; Monetary economics; Context (archaeology); Physical capital; Indirect tax; Tax reform; Microeconomics; Market economy; Human capital","score_opus":0.0110426407877644,"score_gpt":0.220535034941684,"score_spread":0.2094923941539196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164052739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9670166,0.0005014449,0.0022606507,0.009456538,0.0020144507,0.00029269166,0.00071362377,0.00006382381,0.017680183],"genre_scores_gemma":[0.99181914,0.00018524693,0.00033320533,0.0051371893,0.000496598,0.00008213336,0.000041269384,0.00010840735,0.0017968275],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967857,0.00010286827,0.001523399,0.00067382277,0.00004233368,0.00087185495],"domain_scores_gemma":[0.99691147,0.00017694695,0.0019404906,0.0006823893,0.000013853318,0.00027485972],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014480188,0.00038394745,0.0008003868,0.00036693813,0.0015005809,0.00035555885,0.0012373889,0.000056715668,0.0026597122],"category_scores_gemma":[0.000022758833,0.00042900076,0.0004673058,0.0001425198,0.0005819493,0.0004974105,0.00052930065,0.0010627973,0.002305868],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016108304,0.00019570139,0.025700133,0.000012001148,0.00056551467,0.000012809993,0.0015637579,0.11030099,0.000018296128,0.8498135,0.0070707435,0.004585425],"study_design_scores_gemma":[0.0018899527,0.000538609,0.029610477,0.0000055793375,0.000035552042,0.001573427,0.008898207,0.04943744,0.000013889554,0.33546022,0.5712268,0.0013098507],"about_ca_topic_score_codex":0.0007454631,"about_ca_topic_score_gemma":0.00023165288,"teacher_disagreement_score":0.56415606,"about_ca_system_score_codex":0.0025963073,"about_ca_system_score_gemma":0.00015897285,"threshold_uncertainty_score":0.9998162},"labels":[],"label_agreement":null},{"id":"W3166918078","doi":"10.1257/mac.20200429","title":"Capital-Reallocation Frictions and Trade Shocks","year":2023,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Shock (circulatory); Competition (biology); Monetary economics; Investment (military); Productivity; Capital (architecture); China; Physical capital; International economics; Macroeconomics; Human capital; Market economy","score_opus":0.029046789466662587,"score_gpt":0.2232474783593447,"score_spread":0.1942006888926821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166918078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9728392,0.00051457545,0.00025828922,0.0057715927,0.0011819308,0.00018767892,0.00024341026,0.00015497941,0.018848393],"genre_scores_gemma":[0.9900445,0.0069588097,0.0005238763,0.0012467424,0.00058004196,0.000025892896,0.00004054131,0.00007889145,0.0005007265],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99727124,0.000022653714,0.0012893524,0.00064559246,0.000020653917,0.0007504993],"domain_scores_gemma":[0.99809235,0.00010795726,0.00096789096,0.00040354443,0.000011687162,0.00041657928],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00073285145,0.0003346792,0.00076037046,0.0006187782,0.00041707323,0.00043040718,0.00041969714,0.00011024677,0.00030959328],"category_scores_gemma":[0.00004312395,0.00044519515,0.0002406391,0.0002183081,0.0003254761,0.0008560729,0.00011534315,0.00039831063,0.0042064977],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008741648,0.00013277879,0.33432758,0.000037621594,0.0008179136,0.000049583203,0.0024084433,0.013427379,0.00004784424,0.5736014,0.044666488,0.03039552],"study_design_scores_gemma":[0.0022168432,0.00043746104,0.3742785,0.000021574931,0.000053813787,0.0009750317,0.0055729146,0.029780665,0.000046279823,0.19760314,0.38726673,0.001747067],"about_ca_topic_score_codex":0.0006251599,"about_ca_topic_score_gemma":0.00015771663,"teacher_disagreement_score":0.3759983,"about_ca_system_score_codex":0.00068667607,"about_ca_system_score_gemma":0.000080665355,"threshold_uncertainty_score":0.99979997},"labels":[],"label_agreement":null},{"id":"W3175383928","doi":"10.1257/mac.20240026","title":"Search, Screening, and Sorting","year":2025,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Names, Identity, and Discrimination Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sorting; Computer science; Information retrieval; Algorithm","score_opus":0.021683855171739704,"score_gpt":0.3644738766741744,"score_spread":0.3427900215024347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175383928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8895214,0.00027008157,0.0015552171,0.008638762,0.00042067352,0.00013018277,0.0000064669307,0.000030219535,0.099426985],"genre_scores_gemma":[0.98853105,0.0031330339,0.0014103819,0.0009128422,0.00037254803,0.000004500072,0.0000013364265,0.000012857829,0.005621471],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99862427,0.00019095429,0.00039326595,0.00023407045,0.00008222638,0.00047524527],"domain_scores_gemma":[0.9990637,0.0002487137,0.00022989864,0.00012912178,0.00006405701,0.0002645445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017339565,0.00010485656,0.00024252068,0.00033595404,0.0010939122,0.00069962256,0.0003548438,0.000039743245,0.00031145613],"category_scores_gemma":[0.00020434814,0.00012323353,0.00009275155,0.00010453077,0.0011298363,0.00045518822,0.00013936147,0.0003100748,0.00007666056],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036085552,0.000026760676,0.4648188,0.000012134872,0.000112922964,0.000008002539,0.0020837686,0.0002520392,0.000015640202,0.10914311,0.00755191,0.41593882],"study_design_scores_gemma":[0.0030784707,0.00024789805,0.19770345,0.00010377156,0.00013260462,0.00008722669,0.12942483,0.005796188,0.00024469427,0.094794594,0.5671711,0.001215189],"about_ca_topic_score_codex":0.005137956,"about_ca_topic_score_gemma":0.0034365817,"teacher_disagreement_score":0.5596192,"about_ca_system_score_codex":0.0004374598,"about_ca_system_score_gemma":0.0006664445,"threshold_uncertainty_score":0.84135985},"labels":[],"label_agreement":null},{"id":"W4200303184","doi":"10.1257/mac.20200073","title":"Capital Controls for Crisis Management Policy in a Global Economy","year":2021,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Capital (architecture); Capital control; Financial crisis; Economics; Capital account; Monetary economics; Rest (music); Capital outflow; Financial capital; Open economy; International economics; Capital flows; Capital formation; Market economy; Macroeconomics; Human capital","score_opus":0.008618247544002106,"score_gpt":0.24150041400215458,"score_spread":0.23288216645815246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200303184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8117082,0.0027456214,0.014715847,0.0134596005,0.0022161985,0.0011136816,0.0012753364,0.00006492955,0.15270059],"genre_scores_gemma":[0.98357755,0.00375721,0.0052820486,0.0053863605,0.0009292976,0.00018025418,0.000034096036,0.00007006571,0.0007830949],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9963204,0.000029496117,0.0017801303,0.00084289943,0.000022784163,0.0010042661],"domain_scores_gemma":[0.9979187,0.00006695873,0.0011928873,0.00053386786,0.000042665,0.000244879],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007960311,0.00039146974,0.0011855958,0.00048191554,0.00020842403,0.00042147317,0.0005589023,0.0000932794,0.00021577532],"category_scores_gemma":[0.00004905324,0.0005428249,0.00052548805,0.000264735,0.00015947175,0.000627169,0.00017608989,0.0002613756,0.0008481325],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001463948,0.00015626641,0.06195053,0.00004101786,0.0003919553,0.00008891135,0.00024406056,0.0027033251,0.0000010474649,0.9050841,0.0043407544,0.024851685],"study_design_scores_gemma":[0.004638957,0.00020654559,0.040779267,0.000021207848,0.000031090676,0.00017549488,0.0030266712,0.0017320787,0.000017515888,0.48545966,0.46297437,0.00093716756],"about_ca_topic_score_codex":0.0009757325,"about_ca_topic_score_gemma":0.0008250508,"teacher_disagreement_score":0.4586336,"about_ca_system_score_codex":0.0028406265,"about_ca_system_score_gemma":0.00024330037,"threshold_uncertainty_score":0.99992985},"labels":[],"label_agreement":null},{"id":"W4205765983","doi":"10.1257/mac.20190306","title":"Slow Debt, Deep Recessions","year":2021,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Ministerio de Economía y Competitividad; European Commission","keywords":"Deleveraging; Recession; Leverage (statistics); Debt; Monetary economics; Economics; Business cycle; Finance; Keynesian economics","score_opus":0.012811707505007621,"score_gpt":0.23835575353555047,"score_spread":0.22554404603054284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205765983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94534165,0.0029797175,0.009209286,0.0037599744,0.002772143,0.00016874874,0.00016158647,0.0000886024,0.035518266],"genre_scores_gemma":[0.98539144,0.0021239778,0.0093056215,0.0012356997,0.0006993444,0.000016235479,0.000027641432,0.000099968114,0.0011001014],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.996336,0.000079826976,0.0018409714,0.0008964658,0.000037976333,0.00080875104],"domain_scores_gemma":[0.99674326,0.00022540486,0.0017057178,0.000875587,0.00007426494,0.00037576677],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011105674,0.00037040442,0.0009853799,0.0003564405,0.00050567917,0.0004628633,0.0006764081,0.00012144328,0.003229313],"category_scores_gemma":[0.00025464917,0.0004805008,0.00043846492,0.00027854298,0.0004686398,0.00068335264,0.00019923925,0.00055328314,0.0024744703],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006577979,0.00040262612,0.5391424,0.00003031473,0.00046712894,0.000064013446,0.0013287911,0.017216075,0.00007806129,0.33764282,0.0051095574,0.09845247],"study_design_scores_gemma":[0.0026975311,0.00031744613,0.21961202,0.000052631938,0.000064700296,0.0020701066,0.0023028061,0.037514407,0.0005262573,0.34998724,0.3824112,0.0024436377],"about_ca_topic_score_codex":0.00021481953,"about_ca_topic_score_gemma":0.00032265284,"teacher_disagreement_score":0.37730166,"about_ca_system_score_codex":0.0013685683,"about_ca_system_score_gemma":0.00031072288,"threshold_uncertainty_score":0.9997647},"labels":[],"label_agreement":null},{"id":"W4225497253","doi":"10.1257/mac.20180411","title":"The Rise and Fall of India’s Relative Investment Price: A Tale of Policy Error and Reform","year":2021,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada; McMaster University","funders":"","keywords":"Economics; Tariff; Investment (military); Percentage point; Relative price; Capital (architecture); Investment goods; Fell; Point (geometry); Monetary economics; International economics; Macroeconomics; Production (economics); Finance; Geography","score_opus":0.021723508011478432,"score_gpt":0.24390126914221155,"score_spread":0.22217776113073312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225497253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96887076,0.0062932656,0.000079282705,0.0027748148,0.00023316723,0.00015667973,0.00034655447,0.000006696223,0.021238787],"genre_scores_gemma":[0.98404014,0.01333201,0.0012785819,0.00053417287,0.00018531895,0.000008120873,0.000004132757,0.00003749645,0.0005800447],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974789,0.00005103211,0.0015669758,0.00040178592,0.000019871733,0.00048144805],"domain_scores_gemma":[0.99668634,0.0002424008,0.0023305276,0.00043032088,0.000023142395,0.0002872811],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009316807,0.00026233593,0.00092279376,0.00030093946,0.00023039374,0.00011575133,0.0002875758,0.000082112725,0.00007357697],"category_scores_gemma":[0.0001427147,0.00025993527,0.0001923734,0.00010519871,0.0010550669,0.0005424249,0.00021512876,0.00032467835,0.000045478304],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026707535,0.00014624782,0.2019601,0.00008780028,0.0014951553,0.000015313153,0.005399629,0.001220196,0.0000623441,0.76588213,0.00095555244,0.022508437],"study_design_scores_gemma":[0.005688675,0.0015344673,0.34555665,0.00010847186,0.00013241741,0.0019768812,0.014506681,0.015457504,0.0009955699,0.37181318,0.24043797,0.0017915315],"about_ca_topic_score_codex":0.0030006922,"about_ca_topic_score_gemma":0.00027147683,"teacher_disagreement_score":0.394069,"about_ca_system_score_codex":0.0007060367,"about_ca_system_score_gemma":0.0002553885,"threshold_uncertainty_score":0.9999853},"labels":[],"label_agreement":null},{"id":"W4283758826","doi":"10.1257/mac.20170410","title":"Radical and Incremental Innovation: The Roles of Firms, Managers, and Innovators","year":2022,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":149,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Industrial organization; Sorting; Human capital; Open innovation; Marketing; Economics; Market economy; Computer science","score_opus":0.01223857274826628,"score_gpt":0.21395646190147313,"score_spread":0.20171788915320685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283758826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98980457,0.00073185324,0.00013019706,0.0058004265,0.00037559803,0.00014157071,0.0002227423,0.000011916985,0.002781157],"genre_scores_gemma":[0.9958853,0.0005388777,0.00057647726,0.00268792,0.0001297323,0.000015938844,0.000012253006,0.000028371176,0.00012513666],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981611,0.000037455156,0.0012046783,0.00031006942,0.00003151848,0.00025518544],"domain_scores_gemma":[0.99815845,0.00008105361,0.0014502361,0.0002246729,0.000022437083,0.00006315858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011116965,0.00017132126,0.0004576904,0.0005205228,0.00045806894,0.00011941398,0.00033225285,0.000028229239,0.0006743161],"category_scores_gemma":[0.00003481137,0.00018366509,0.000058258283,0.00037786496,0.0006373078,0.00026617796,0.00032459522,0.0004321169,0.000021372392],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006879114,0.00004148962,0.20914154,0.000011373004,0.00020314955,0.000004017668,0.0007737084,0.00020303935,0.000038352995,0.7604874,0.0033385844,0.025688596],"study_design_scores_gemma":[0.0038819385,0.00091050274,0.17354216,0.000013668215,0.000031361185,0.0014638794,0.012104939,0.006901686,0.00020387249,0.12964785,0.67008144,0.0012166918],"about_ca_topic_score_codex":0.00013834282,"about_ca_topic_score_gemma":0.00002374408,"teacher_disagreement_score":0.66674286,"about_ca_system_score_codex":0.00028557735,"about_ca_system_score_gemma":0.00006461354,"threshold_uncertainty_score":0.74896455},"labels":[],"label_agreement":null},{"id":"W4283764937","doi":"10.1257/mac.20180466","title":"Public Education Inequality and Intergenerational Mobility","year":2022,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Voucher; Property tax; Revenue; Economics; Welfare; Public economics; Inequality; Tax revenue; Social mobility; Property value; School choice; Public spending; Public education; Quality (philosophy); Microeconomics; Labour economics; Demographic economics; Economic growth; Finance; Market economy; Political science","score_opus":0.0417302568423953,"score_gpt":0.3084262355936027,"score_spread":0.26669597875120743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283764937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9738705,0.0002921694,0.00020458987,0.012093311,0.0014556142,0.00013493959,0.00004976498,0.000026269216,0.011872833],"genre_scores_gemma":[0.9956112,0.00077124004,0.00039340387,0.0017205715,0.0007136321,0.000047799433,0.000011687309,0.000011646217,0.00071885827],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985463,0.00037335334,0.00046266,0.000252598,0.000089107154,0.00027596595],"domain_scores_gemma":[0.99891716,0.00018288865,0.00048407493,0.00013528635,0.00006840205,0.00021216224],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014518858,0.00011305156,0.0002408647,0.00013426533,0.0018824405,0.00025309031,0.00025084981,0.000018657203,0.0015521626],"category_scores_gemma":[0.00011432141,0.0001345486,0.00008116539,0.00008046024,0.0005666242,0.000462378,0.0001494799,0.00025871338,0.000027279832],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005840154,0.0002690564,0.58917165,0.000004476648,0.00019539038,0.0000011469739,0.012349784,0.0006903008,0.000012641529,0.16910185,0.02311568,0.20502965],"study_design_scores_gemma":[0.00044420778,0.0001657772,0.047523517,0.0000019225079,0.000022991568,0.00006589945,0.06492844,0.001034481,0.00000557467,0.022718094,0.86266625,0.00042285732],"about_ca_topic_score_codex":0.0020205593,"about_ca_topic_score_gemma":0.002505273,"teacher_disagreement_score":0.83955055,"about_ca_system_score_codex":0.0012859739,"about_ca_system_score_gemma":0.0014227403,"threshold_uncertainty_score":0.99941695},"labels":[],"label_agreement":null},{"id":"W4298140880","doi":"10.1257/mac.20170479","title":"Fiscal Rules and the Sovereign Default Premium","year":2022,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Fiscal Policies and Political Economy","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Sovereign default; Economics; Debt; Brake; Monetary economics; Internal debt; Sovereign debt; Sovereignty; Macroeconomics; Automotive engineering; Engineering","score_opus":0.009186656635031553,"score_gpt":0.20416816923292816,"score_spread":0.19498151259789662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298140880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81818604,0.0020829358,0.00037509837,0.025144557,0.0016084345,0.00040959648,0.0010885185,0.000050779574,0.15105404],"genre_scores_gemma":[0.9879222,0.00072812487,0.00046642893,0.008712224,0.0007263349,0.00008366505,0.000014029984,0.0000694383,0.0012775831],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99723256,0.000107279106,0.0013262512,0.0005173759,0.000032516753,0.00078402925],"domain_scores_gemma":[0.99761164,0.00041314078,0.0011620439,0.0004679407,0.000010307217,0.00033495206],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014253466,0.00031628564,0.0009389234,0.00020781577,0.0010174976,0.00037829406,0.0007868451,0.00004737245,0.0026610892],"category_scores_gemma":[0.00006502525,0.0003106378,0.00037265138,0.00007050069,0.0013121447,0.00033403348,0.0005669727,0.0008352358,0.00080590456],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017463787,0.00003341794,0.009768413,0.000005347591,0.00017259215,0.0000049199884,0.00045245865,0.0018235118,4.751348e-7,0.97437674,0.009924046,0.0032634437],"study_design_scores_gemma":[0.0026776078,0.00021993078,0.0060502323,0.0000025917045,0.000023881716,0.00082726195,0.001670275,0.012456415,0.0000034554475,0.49888012,0.4766254,0.0005628268],"about_ca_topic_score_codex":0.0017728367,"about_ca_topic_score_gemma":0.000045083616,"teacher_disagreement_score":0.47549662,"about_ca_system_score_codex":0.0007847958,"about_ca_system_score_gemma":0.0000863851,"threshold_uncertainty_score":0.9999721},"labels":[],"label_agreement":null},{"id":"W4313364509","doi":"10.1257/mac.20200213","title":"The Government Spending Multiplier in a Multisector Economy","year":2022,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Economics; Government spending; Multiplier (economics); Keynesian economics; Macroeconomics; Fiscal multiplier; Consumer spending; Monetary economics; Recession; Market economy; Welfare","score_opus":0.026288964049948804,"score_gpt":0.22150499929030826,"score_spread":0.19521603524035946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313364509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9723462,0.00094865507,0.00016710373,0.0028748615,0.0020039468,0.00041061532,0.00048306375,0.000029452518,0.02073612],"genre_scores_gemma":[0.9953524,0.0007857751,0.00045724274,0.0014146428,0.00051930937,0.00013328846,0.000009289901,0.00009155677,0.0012364839],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99592805,0.00010554461,0.002043944,0.0007203618,0.000040880524,0.0011611928],"domain_scores_gemma":[0.99659264,0.00038107025,0.0020375713,0.0006671993,0.0000035151759,0.00031800425],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002526465,0.00040515017,0.00089718273,0.00029592833,0.00124906,0.0004609058,0.0012094141,0.00004795999,0.0022662818],"category_scores_gemma":[0.000061392966,0.00046071727,0.00039991122,0.000119419026,0.00032488324,0.0006366788,0.00045515187,0.0009910946,0.0012306684],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005407314,0.00024462762,0.6695994,0.000011460217,0.0005987501,0.00006598109,0.0019506218,0.20494263,0.000015187528,0.08655213,0.008890996,0.026587494],"study_design_scores_gemma":[0.0030297453,0.00040135524,0.052832227,0.0000061729847,0.000013245836,0.00064293086,0.004359322,0.11338022,0.00002953126,0.03139374,0.79274327,0.001168269],"about_ca_topic_score_codex":0.0016044185,"about_ca_topic_score_gemma":0.00055606634,"teacher_disagreement_score":0.7838522,"about_ca_system_score_codex":0.0055166646,"about_ca_system_score_gemma":0.00007667856,"threshold_uncertainty_score":0.99978447},"labels":[],"label_agreement":null},{"id":"W4313364853","doi":"10.1257/mac.20200134","title":"A Risky Venture: Income Dynamics among Pass-Through Business Owners","year":2022,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Stylized fact; Economics; Demographic economics; Panel Study of Income Dynamics; Income tax; Income in kind; Labour economics; Comprehensive income; Gross income; Public economics; Macroeconomics; State income tax","score_opus":0.005114650267191658,"score_gpt":0.20338449574758366,"score_spread":0.198269845480392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313364853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99152184,0.00008598319,0.00018020335,0.0012767229,0.0022088222,0.00024337808,0.00006239401,0.00009645011,0.004324192],"genre_scores_gemma":[0.993081,0.00015985219,0.00053271645,0.003572956,0.0019532994,0.00004696201,0.00016252184,0.00012430623,0.00036642337],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99714303,0.000055839675,0.0011956714,0.0006444599,0.0002070935,0.0007538803],"domain_scores_gemma":[0.99669874,0.000074944524,0.002474421,0.00055344414,0.00013566331,0.0000627862],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008289296,0.00047294944,0.0008447018,0.0006348239,0.0012044817,0.0007703396,0.0010584019,0.00005493937,0.0027297717],"category_scores_gemma":[0.00006817851,0.0005307639,0.00042334027,0.0007069893,0.00041018688,0.0023878235,0.000859245,0.0007639574,0.0006136854],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015703986,0.00008834931,0.95210993,0.000025278287,0.00012743426,0.000066907014,0.00009644731,0.026078293,0.000007079264,0.010396757,0.0045184507,0.0063280505],"study_design_scores_gemma":[0.0017615382,0.000083063765,0.6861746,0.000032842472,0.00037872532,0.00016477477,0.0026941965,0.07960027,0.000003444784,0.010482602,0.21710467,0.0015192869],"about_ca_topic_score_codex":0.0074839625,"about_ca_topic_score_gemma":0.0019829764,"teacher_disagreement_score":0.26593533,"about_ca_system_score_codex":0.0020352965,"about_ca_system_score_gemma":0.00020238332,"threshold_uncertainty_score":0.9997144},"labels":[],"label_agreement":null},{"id":"W4362467105","doi":"10.1257/mac.20190241","title":"Persistent Monetary Non-neutrality in an Estimated Menu Cost Model with Partially Costly Information","year":2023,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Neutrality; Economics; Aggregate (composite); Marginal cost; Econometrics; Price setting; Monetary policy; Process (computing); Microeconomics; Monetary economics; Computer science","score_opus":0.06522075689556653,"score_gpt":0.26561718702236065,"score_spread":0.20039643012679412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362467105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928651,0.00005376431,0.0011093493,0.0016280784,0.00038476032,0.00049690716,0.0005849997,0.00009317386,0.002783854],"genre_scores_gemma":[0.99555767,0.0007541921,0.001508603,0.0015112764,0.00017583779,0.000059749036,0.00021792357,0.000069373295,0.00014535026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962847,0.00004368187,0.0019241904,0.00058593287,0.000036522964,0.0011249689],"domain_scores_gemma":[0.9972123,0.00007037181,0.0015199184,0.00061230664,0.00002094762,0.000564141],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014062831,0.00046425598,0.0010917933,0.0009270393,0.000261048,0.00048750258,0.00064291246,0.00012613936,0.00021177226],"category_scores_gemma":[0.000025007288,0.00054683303,0.0002759812,0.00023714981,0.0003104815,0.0034862189,0.000095320735,0.00056742533,0.00277589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023863168,0.000043158565,0.12129219,0.000011919325,0.00015279374,0.000011343886,0.0013125958,0.8709718,0.0000036839315,0.0015066684,0.0009514644,0.0035037813],"study_design_scores_gemma":[0.0017032691,0.00040984983,0.078412,0.00001778988,0.000020248805,0.00011581569,0.00080365484,0.9118997,0.00001531893,0.0029469915,0.0029794136,0.00067598704],"about_ca_topic_score_codex":0.0023399703,"about_ca_topic_score_gemma":0.0011667755,"teacher_disagreement_score":0.04288019,"about_ca_system_score_codex":0.0012791454,"about_ca_system_score_gemma":0.00019300204,"threshold_uncertainty_score":0.99969834},"labels":[],"label_agreement":null},{"id":"W4362467917","doi":"10.1257/mac.20190445","title":"Self-Harming Trade Policy? Protectionism and Production Networks","year":2023,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; HEC Montréal; Université du Québec à Montréal","funders":"","keywords":"Protectionism; Economics; Production (economics); International economics; Commercial policy; International trade; Stock (firearms); Downstream (manufacturing); Panel data; Construct (python library); Macroeconomics; Econometrics","score_opus":0.0229514729121835,"score_gpt":0.22232645078028404,"score_spread":0.19937497786810054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362467917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9651545,0.00069468643,0.00068661023,0.017854072,0.002584686,0.0005755929,0.00008592042,0.00041571318,0.011948175],"genre_scores_gemma":[0.9811988,0.0129875345,0.0015169079,0.0012300558,0.002495105,0.00005259563,0.000015716028,0.00011344752,0.00038987477],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99692994,0.000034398963,0.0013095915,0.0007892559,0.000022121047,0.0009146934],"domain_scores_gemma":[0.99790317,0.00006465481,0.0012288603,0.00040148775,0.000012832193,0.0003890198],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011105405,0.0003779487,0.0008091952,0.0007737191,0.0005591838,0.0005258673,0.00038863893,0.00012929064,0.0000728561],"category_scores_gemma":[0.000074076,0.0005005088,0.00023723385,0.0003382636,0.0002881038,0.00096405623,0.00013607522,0.00056212745,0.0012825144],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033388947,0.00035850488,0.22620098,0.00020740269,0.0025375513,0.000118543125,0.0038018494,0.16458356,0.000054977518,0.3698424,0.043203566,0.18875675],"study_design_scores_gemma":[0.002122047,0.0005189961,0.05277784,0.00003484476,0.000056614732,0.0019030416,0.0021874523,0.15101346,0.00009406067,0.10915366,0.67801845,0.0021195256],"about_ca_topic_score_codex":0.00031389223,"about_ca_topic_score_gemma":0.0000663614,"teacher_disagreement_score":0.63481486,"about_ca_system_score_codex":0.0010933942,"about_ca_system_score_gemma":0.00012361187,"threshold_uncertainty_score":0.99974465},"labels":[],"label_agreement":null},{"id":"W4362471988","doi":"10.1257/mac.20170229","title":"Land Misallocation and Productivity","year":2023,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Total factor productivity; Economics; Productivity; Renting; Capital (architecture); Agricultural productivity; Poverty; Agriculture; Inequality; Agricultural economics; Natural resource economics; Labour economics; Macroeconomics; Economic growth; Geography","score_opus":0.009359327781130931,"score_gpt":0.20822776165780343,"score_spread":0.1988684338766725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362471988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923206,0.000021549607,0.0000014606288,0.006902869,0.0002921749,0.00006283261,0.000018324989,0.000041221392,0.00033898893],"genre_scores_gemma":[0.9969515,0.0011781343,0.000034686018,0.0001486199,0.0007585541,0.0000027107114,0.000015366868,0.0000014404542,0.000908958],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993727,0.000019130477,0.00018522346,0.00018190865,0.00002269932,0.00021828906],"domain_scores_gemma":[0.99961853,0.000051436924,0.0001671716,0.000036471287,0.000010377858,0.000116021336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025944036,0.000091114125,0.00016501683,0.000019624717,0.0002351256,0.00011357926,0.00011197424,0.000024844501,0.00006037915],"category_scores_gemma":[0.0000055859477,0.000022298505,0.000047671096,0.00006043395,0.0001339933,0.00018068399,0.000042643092,0.000102953476,0.00022861382],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002580737,0.000014895322,0.124027506,0.0000024036224,0.000037790523,0.0000045309794,0.00009579004,0.00013404198,0.0016954467,0.00014800302,0.0011804375,0.87263334],"study_design_scores_gemma":[0.00022335765,0.00023227891,0.63689595,0.0000056238036,0.000010666627,0.00028801,0.00048139627,0.0010586778,0.0002994992,0.0041251183,0.35610452,0.00027493472],"about_ca_topic_score_codex":0.00037317935,"about_ca_topic_score_gemma":0.00073826016,"teacher_disagreement_score":0.87235844,"about_ca_system_score_codex":0.00005661162,"about_ca_system_score_gemma":0.000015264008,"threshold_uncertainty_score":0.29384443},"labels":[],"label_agreement":null},{"id":"W4390427412","doi":"10.1257/mac.20220088","title":"Monetary Policy When the Phillips Curve Is Quite Flat","year":2023,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Phillips curve; Monetary policy; Economics; Inflation (cosmology); Keynesian economics; Inflation targeting; Channel (broadcasting); Relevance (law); Monetary economics; Macroeconomics; Key (lock); Empirical evidence; Computer science; Political science; Telecommunications; Physics","score_opus":0.041858127643760255,"score_gpt":0.2514093631166816,"score_spread":0.20955123547292134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390427412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93367004,0.00094767223,0.00023153286,0.045120407,0.0019131473,0.00037287452,0.00116743,0.00016804886,0.016408857],"genre_scores_gemma":[0.9696649,0.0072349366,0.00044952295,0.014311662,0.0035454298,0.00003804412,0.00005921106,0.00017669036,0.004519638],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99515873,0.00008123838,0.0021831044,0.00092270836,0.00004560744,0.0016085879],"domain_scores_gemma":[0.99580824,0.00031660925,0.0020830382,0.0011975936,0.00001668364,0.0005778381],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0020345708,0.00062567746,0.0013013895,0.0010984768,0.00078548864,0.0006446064,0.0015571144,0.000155127,0.0025680931],"category_scores_gemma":[0.00010841922,0.0006325506,0.0007570711,0.0003407695,0.00073358335,0.0011021459,0.00034558427,0.0008626923,0.031339172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032280368,0.0001067131,0.2508636,0.000050296625,0.0028066356,0.00007952729,0.011938477,0.052455332,0.000034332406,0.106104724,0.5237236,0.05151395],"study_design_scores_gemma":[0.0015211557,0.0002880869,0.039758634,0.000018107463,0.000043056913,0.00060246343,0.0013363732,0.06726504,0.00007316354,0.21963376,0.6680231,0.001437059],"about_ca_topic_score_codex":0.0062583913,"about_ca_topic_score_gemma":0.0002168708,"teacher_disagreement_score":0.21110499,"about_ca_system_score_codex":0.0011850881,"about_ca_system_score_gemma":0.00020226995,"threshold_uncertainty_score":0.99961257},"labels":[],"label_agreement":null},{"id":"W4393308834","doi":"10.1257/mac.20210133","title":"Inequality, Taxation, and Sovereign Default Risk","year":2024,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Sovereign default; Inequality; Sovereignty; Economics; Default; Business; Financial system; Sovereign debt; Political science; Finance; Politics; Mathematics","score_opus":0.013246192444266615,"score_gpt":0.24472484060011426,"score_spread":0.23147864815584765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393308834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96350574,0.0063566854,0.0019692117,0.0016912445,0.0016504931,0.00013355662,0.0009125362,0.00007746465,0.02370307],"genre_scores_gemma":[0.987567,0.009315012,0.0008859883,0.00091741164,0.0008881017,0.000009943867,0.000010211793,0.00005889599,0.00034745474],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99766487,0.000039643444,0.001214052,0.00053984276,0.000022835131,0.000518763],"domain_scores_gemma":[0.9979701,0.0001502288,0.0012937622,0.0002997054,0.000021878714,0.00026431095],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010841574,0.00029776152,0.0006951406,0.00036024954,0.00028290405,0.00084229687,0.0003143409,0.00008607463,0.000486619],"category_scores_gemma":[0.00013554035,0.00034383766,0.00024728203,0.00013088767,0.00032121994,0.0006533613,0.00012309801,0.00046935547,0.0022408501],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024022518,0.000021757014,0.11875406,0.00002421978,0.0002252226,0.000012177162,0.0008488279,0.0006850988,0.0000039968386,0.8355237,0.011905384,0.031971492],"study_design_scores_gemma":[0.00047477227,0.00022827082,0.06620919,0.000029035871,0.000037612856,0.0003713717,0.0007392497,0.007357313,0.000023368846,0.4287406,0.49502665,0.00076258444],"about_ca_topic_score_codex":0.0029467354,"about_ca_topic_score_gemma":0.00023342257,"teacher_disagreement_score":0.48312125,"about_ca_system_score_codex":0.0005061892,"about_ca_system_score_gemma":0.000106344814,"threshold_uncertainty_score":0.99990135},"labels":[],"label_agreement":null},{"id":"W4400119877","doi":"10.1257/mac.20200447","title":"Reassessing the Relevance of Financial Shocks in an Estimated Heterogeneous Firm Model","year":2024,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Relevance (law); Economics; Business; Finance; Political science","score_opus":0.03194877862661737,"score_gpt":0.2781287110743861,"score_spread":0.2461799324477687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400119877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906824,0.001680333,0.0033684047,0.0011694671,0.0008004412,0.0001425147,0.00020676019,0.000040604875,0.0019090262],"genre_scores_gemma":[0.99547,0.00088717294,0.0024481334,0.00079323945,0.00021188897,0.000012835734,0.000009471592,0.00006041117,0.00010684337],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99749106,0.000030304367,0.001539515,0.00047887868,0.000025719097,0.00043450017],"domain_scores_gemma":[0.99849194,0.00013091222,0.0008246049,0.00040971074,0.000030233727,0.00011256824],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007840271,0.00024900213,0.0006306107,0.0004758316,0.00013657985,0.00032820783,0.00054301147,0.000083978994,0.0001795472],"category_scores_gemma":[0.000080526544,0.00025549482,0.00018513907,0.00026354744,0.00032095597,0.00074689067,0.00007129512,0.0005339396,0.00017174246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020251247,0.00018683806,0.14909193,0.00008546829,0.00017769392,0.00007302624,0.002244854,0.42266,0.00020015344,0.30079603,0.0014589604,0.12282257],"study_design_scores_gemma":[0.0004488281,0.00015718742,0.020370807,0.000070779824,0.000008038718,0.00021339819,0.00010538002,0.90984786,0.00012822525,0.06367744,0.00453408,0.00043795194],"about_ca_topic_score_codex":0.00024134663,"about_ca_topic_score_gemma":0.00025762286,"teacher_disagreement_score":0.4871879,"about_ca_system_score_codex":0.00062123296,"about_ca_system_score_gemma":0.00029268357,"threshold_uncertainty_score":0.99998975},"labels":[],"label_agreement":null},{"id":"W4400119938","doi":"10.1257/mac.20210277","title":"MPC Heterogeneity and the Dynamic Response of Consumption to Monetary Policy","year":2024,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Monetary policy; Consumption (sociology); Economics; Monetary economics; Philosophy","score_opus":0.02417505363452005,"score_gpt":0.2696666972764321,"score_spread":0.24549164364191206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400119938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818547,0.0042670937,0.001139343,0.010513234,0.0007779139,0.00031960008,0.00057526573,0.00003768139,0.00051520247],"genre_scores_gemma":[0.9916616,0.0049704053,0.00081139384,0.0018799334,0.0003396353,0.000019106128,0.0000065860345,0.00006265624,0.00024868725],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99717426,0.000127639,0.0015341446,0.0005695247,0.00002220642,0.00057223754],"domain_scores_gemma":[0.99780583,0.0005658983,0.00075669657,0.00051725813,0.000008636609,0.00034564757],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002706549,0.0003340024,0.0009985357,0.0008271653,0.0001984651,0.0003433364,0.00048112826,0.00007897032,0.00022926445],"category_scores_gemma":[0.00013496539,0.00032125053,0.0003609307,0.00012791945,0.00089257513,0.000506998,0.00016487231,0.00038654736,0.0014426502],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.017791832,0.0002540152,0.23349987,0.00045393402,0.0065266197,0.00010334387,0.014771885,0.13357483,0.000585725,0.43487996,0.012462225,0.14509577],"study_design_scores_gemma":[0.0065025147,0.0013403788,0.39768416,0.00016734104,0.00017285244,0.0031803923,0.0008226341,0.3722178,0.00040504982,0.097595245,0.11759534,0.0023162938],"about_ca_topic_score_codex":0.0019697533,"about_ca_topic_score_gemma":0.00018923864,"teacher_disagreement_score":0.3372847,"about_ca_system_score_codex":0.00075224147,"about_ca_system_score_gemma":0.00013403459,"threshold_uncertainty_score":0.99992394},"labels":[],"label_agreement":null},{"id":"W4405945322","doi":"10.1257/mac.20200149","title":"Spatial Integration and Agricultural Productivity: Quantifying the Impact of New Roads","year":2024,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Geocoding; Productivity; Agricultural productivity; Agriculture; Panel data; Production (economics); Economics; Econometrics; Distribution (mathematics); Agricultural economics; Natural resource economics; Economic geography; Geography; Cartography; Economic growth; Microeconomics; Mathematics","score_opus":0.03398873007590333,"score_gpt":0.2751138279944441,"score_spread":0.24112509791854078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405945322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856232,0.001798055,0.0013578604,0.0031992143,0.001043688,0.00019548321,0.0001388498,0.00003403108,0.0066096312],"genre_scores_gemma":[0.9973063,0.00050373795,0.00027967276,0.000091785005,0.0014827152,0.000006439257,0.00000865636,0.000042846415,0.0002778396],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9979031,0.00003261409,0.0011275333,0.00049171754,0.000017301241,0.00042771082],"domain_scores_gemma":[0.99849737,0.00014347247,0.00084261806,0.00029432523,0.000014736481,0.00020750979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083032396,0.0003022533,0.00071195984,0.00029427605,0.00017749166,0.00051297585,0.00034747564,0.000070217866,0.00017520844],"category_scores_gemma":[0.00006876935,0.00023398707,0.00042003117,0.000120426426,0.00038092784,0.00085866725,0.0000988086,0.00048162215,0.00029435387],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002610782,0.00012232224,0.23802406,0.00008469969,0.002234182,0.000011914993,0.008256952,0.005241789,0.000534284,0.32833794,0.026335984,0.39055482],"study_design_scores_gemma":[0.0011838861,0.0010274735,0.67348725,0.000106997526,0.000082810555,0.0014380825,0.0020245365,0.059110764,0.00060920906,0.24556638,0.014036023,0.0013266184],"about_ca_topic_score_codex":0.007108995,"about_ca_topic_score_gemma":0.0003654908,"teacher_disagreement_score":0.43546316,"about_ca_system_score_codex":0.00063036697,"about_ca_system_score_gemma":0.00018812876,"threshold_uncertainty_score":0.9995028},"labels":[],"label_agreement":null},{"id":"W4405945327","doi":"10.1257/mac.20220249","title":"The Evolution of US Retail Concentration","year":2024,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Economics; Monetary economics; Econometrics","score_opus":0.008680794476363184,"score_gpt":0.2231721655037433,"score_spread":0.2144913710273801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405945327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98183143,0.0010262477,0.00038124394,0.0013454086,0.0019820093,0.00009808641,0.000004887831,0.00004280342,0.0132878665],"genre_scores_gemma":[0.9980904,0.00045132785,0.000048506325,0.00020483386,0.0009864384,0.000004127233,0.0000028860343,0.000023944554,0.00018754277],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99898136,0.00001500366,0.0005272274,0.0001755142,0.00004606719,0.00025485377],"domain_scores_gemma":[0.99917066,0.00014624558,0.00044980517,0.00017237486,0.00004246728,0.00001841718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068348204,0.00013060067,0.00020352815,0.00011895406,0.00025855956,0.0007397237,0.00026538427,0.000024306984,0.00024253929],"category_scores_gemma":[0.000026589929,0.00010916823,0.00014933957,0.00011167216,0.0002650878,0.0009047762,0.00006656345,0.00021864678,0.00026127478],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010856509,0.000015003124,0.21983498,0.000043129257,0.00016408361,0.000010150583,0.00007336547,0.00069176994,0.00044935633,0.05879366,0.0036988142,0.71611714],"study_design_scores_gemma":[0.00054132636,0.00004626905,0.099234834,0.00008642827,0.00027639372,0.00017306987,0.0021847175,0.06818364,0.000093414674,0.010082021,0.8185651,0.0005328136],"about_ca_topic_score_codex":0.0015651814,"about_ca_topic_score_gemma":0.0005191909,"teacher_disagreement_score":0.81486624,"about_ca_system_score_codex":0.00040283665,"about_ca_system_score_gemma":0.00017836389,"threshold_uncertainty_score":0.7133173},"labels":[],"label_agreement":null},{"id":"W7083707990","doi":"10.1257/mac.20210319","title":"GDP-B: Accounting for the Value of New and Free Goods","year":2025,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Goods and services; Welfare; Measure (data warehouse); Agency (philosophy); Value (mathematics); National accounts; Production (economics)","score_opus":0.0058003182548112915,"score_gpt":0.2308417754022786,"score_spread":0.22504145714746732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083707990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862763,0.0002704528,0.0014676286,0.0051967064,0.0006037661,0.00020784774,0.000020826395,0.000007913012,0.0059485263],"genre_scores_gemma":[0.99405676,0.00088565954,0.0022232453,0.0007447148,0.0002128466,0.000010701013,4.3442938e-7,0.000012589056,0.001853042],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999189,0.000012575163,0.0003880702,0.00017436991,0.000021898262,0.00021407289],"domain_scores_gemma":[0.99907345,0.0002739344,0.00038487048,0.00020551417,0.000004179506,0.000058055586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003448837,0.00011708872,0.00028041334,0.000034420467,0.00022478687,0.00006114291,0.00036926125,0.000017095665,0.00010855725],"category_scores_gemma":[0.000048687776,0.000091542184,0.00009626306,0.00004141296,0.00027697132,0.00015679728,0.00047650764,0.00010219236,0.000016603832],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007747047,0.000016426786,0.46226743,0.000016918691,0.00026883822,4.483209e-7,0.00032262312,0.0021199237,0.00011766,0.0057455124,0.06673996,0.4623068],"study_design_scores_gemma":[0.0017027749,0.00023311563,0.4799097,0.000033345328,0.00017270839,0.000085573585,0.0027590208,0.013917029,0.00027216936,0.03673873,0.46378112,0.00039470205],"about_ca_topic_score_codex":0.0032489134,"about_ca_topic_score_gemma":0.0015707142,"teacher_disagreement_score":0.4619121,"about_ca_system_score_codex":0.00021710138,"about_ca_system_score_gemma":0.000055688488,"threshold_uncertainty_score":0.4911407},"labels":[],"label_agreement":null},{"id":"W7117560984","doi":"10.1257/mac.20210174","title":"Accounting for Wealth Concentration in the United States","year":2025,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Earnings; Distribution (mathematics); Capital income; Net worth; Capital (architecture); Rate of return; National wealth; Human capital; Wealth distribution; Distribution of wealth","score_opus":0.008630532403683285,"score_gpt":0.2547050127955823,"score_spread":0.246074480391899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117560984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931565,0.000048906506,0.00041204182,0.003889576,0.0005356,0.00034213945,0.000008963912,0.000021595673,0.0015846628],"genre_scores_gemma":[0.9802415,0.00024428364,0.00033442472,0.018084826,0.0008540513,0.000027798193,0.0001192018,0.000021462654,0.00007245466],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984634,0.000026380369,0.0007777764,0.000264038,0.000051507264,0.00041691592],"domain_scores_gemma":[0.9985242,0.00023490164,0.000916885,0.00021485414,0.0000964645,0.000012712357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012196354,0.00019393125,0.00036055894,0.0005071117,0.000357687,0.0007927956,0.00048046888,0.000033526005,0.00008526051],"category_scores_gemma":[0.00009598099,0.0001729129,0.00015411086,0.00040811967,0.00013661377,0.0009311846,0.000065696135,0.00022020571,0.00008239785],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014982503,0.000051932235,0.9148125,0.000046927824,0.000046725992,0.0000031793677,0.00023867439,0.012350596,0.000015427042,0.04893463,0.013154177,0.010195372],"study_design_scores_gemma":[0.001983658,0.00004386854,0.16168636,0.00008606803,0.0001765984,0.000009333833,0.005274659,0.27544653,0.000018935745,0.023872286,0.53086454,0.00053713913],"about_ca_topic_score_codex":0.003029843,"about_ca_topic_score_gemma":0.0014409126,"teacher_disagreement_score":0.75312614,"about_ca_system_score_codex":0.0003635316,"about_ca_system_score_gemma":0.00012654894,"threshold_uncertainty_score":0.76449466},"labels":[],"label_agreement":null}]}