{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":15,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":15,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"404c89a8934d","filters":{"venue":"Journal of Applied Economics"}},"results":[{"id":"W2130983026","doi":"10.1080/15140326.2007.12040486","title":"An Estimation of Residential Water Demand Using Co-Integration and Error Correction Techniques","year":2007,"lang":"en","type":"article","venue":"Journal of Applied Economics","topic":"Water resources management and optimization","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Econometrics; Short run; Error correction model; Series (stratigraphy); Price elasticity of demand; Elasticity (physics); Unit root; Estimation; Error detection and correction; Water utility; Economics; Time series; Cointegration; Statistics; Mathematics; Environmental science; Microeconomics; Water supply; Algorithm; Geology","authors":[{"name":"Roberto Martı́nez-Espiñeira","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008803056459842473,"gpt":0.2272444646538076,"spread":0.2184414081939651,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002447406,0.0007969232,0.001010776,0.001348557,0.0003561134,0.0009326701,0.0008688163,0.0009532715,0.00129247],"category_scores_gemma":[0.01178032,0.0005377308,0.001038581,0.00333545,0.000390957,0.001193698,0.0007645338,0.001109602,0.0004080373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008242649,"about_ca_system_score_gemma":0.001304736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01859612,"about_ca_topic_score_gemma":0.015567,"domain_scores_codex":[0.9974343,0.001068364,0.0001624455,0.0004950241,0.000679002,0.0001608119],"domain_scores_gemma":[0.9937831,0.004160687,0.0006966278,0.0006031339,0.0007088226,0.00004762342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002690134,0.000381623,0.09364096,0.0002956903,0.001159342,0.0004986994,0.0003542506,0.6289281,0.006817307,0.0143662,0.001160147,0.2521287],"study_design_scores_gemma":[0.00001442133,0.00006383423,0.02297908,0.00002855889,0.00008479888,0.0001147551,0.00006896717,0.9648036,0.006067965,0.003570752,0.002152947,0.00005039326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2350523,0.0004239719,0.7610341,0.0002561664,0.00009984912,0.00007055517,0.0003337339,0.000414271,0.00231505],"genre_scores_gemma":[0.8550255,0.0003162185,0.1394062,0.00006951141,0.00005935637,0.0001180871,0.001066497,0.0001363971,0.003802273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01859612,"threshold_uncertainty_score":0.03697574,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2133732367","doi":"10.1080/15140326.2004.12040608","title":"Testing Forward Exchange Rate Unbiasedness Efficiently: A Semiparametric Approach","year":2004,"lang":"en","type":"article","venue":"Journal of Applied Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Econometrics; Curse of dimensionality; Multivariate statistics; Mathematics; Seemingly unrelated regressions; Economics; Exchange rate; Cointegration; Statistics","authors":[{"name":"Douglas J. Hodgson","is_ca":true},{"name":"Oliver Linton","is_ca":false},{"name":"Keith Vorkink","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08369387413702709,"gpt":0.2198049698248981,"spread":0.1361110956878711,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01664816,0.0009151123,0.001994165,0.001946137,0.0004701573,0.002084665,0.001618016,0.001380829,0.003064618],"category_scores_gemma":[0.1257523,0.0009367244,0.001696179,0.001447347,0.001654185,0.003291032,0.002806992,0.001865922,0.0004543319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005086322,"about_ca_system_score_gemma":0.001262575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001453217,"about_ca_topic_score_gemma":0.00103842,"domain_scores_codex":[0.9897977,0.007489765,0.0004681708,0.0007687679,0.001144933,0.0003306895],"domain_scores_gemma":[0.8272807,0.1484081,0.009688728,0.01012407,0.004000906,0.0004975676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002084401,0.0003096922,0.02908405,0.0002931324,0.00131695,0.0007177613,0.0006570189,0.5749157,0.004579686,0.2550621,0.001351398,0.1315041],"study_design_scores_gemma":[0.00003194964,0.00008923724,0.002582078,0.0000318079,0.00006734581,0.0001095211,0.00006104109,0.8890615,0.001555471,0.1058523,0.0005240714,0.00003369107],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05079316,0.0001238188,0.9477021,0.0002393499,0.000009352697,0.00004146446,0.00008360633,0.0001958242,0.0008113371],"genre_scores_gemma":[0.8364894,0.0003147621,0.1608972,0.0001835942,0.00006953249,0.0001972071,0.000396831,0.0001309485,0.001320582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01664816,"threshold_uncertainty_score":0.08804494,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3007759307","doi":"10.1080/15140326.2020.1722384","title":"Merchandise exports and economic growth: multivariate time series analysis for the United Arab Emirates","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Cointegration; Economics; Ordinary least squares; Granger causality; Johansen test; Causality (physics); Econometrics; Autoregressive model; Wald test; Short run; Multivariate statistics; Time series; Vector autoregression; Error correction model; Macroeconomics; Mathematics; Statistical hypothesis testing; Statistics","authors":[{"name":"Athanasia Stylianou Kalaitzi","is_ca":false},{"name":"Trevor W. Chamberlain","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04887762035012343,"gpt":0.208150615708215,"spread":0.1592729953580916,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000893584,0.0003945948,0.0002938005,0.001413736,0.0002312479,0.0007198554,0.0001573425,0.000260418,0.00122784],"category_scores_gemma":[0.001484419,0.0001367357,0.0005333404,0.001908787,0.0001898218,0.0004086502,0.0004161694,0.0004616816,0.0002192741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003935148,"about_ca_system_score_gemma":0.0004320012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02735616,"about_ca_topic_score_gemma":0.02510552,"domain_scores_codex":[0.9998286,0.0000687503,0.00001394088,0.00002789992,0.00003338492,0.00002736668],"domain_scores_gemma":[0.9993036,0.0003309407,0.0001783899,0.00003543884,0.0001071252,0.00004462279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002963555,0.0002959174,0.9297571,0.0000853092,0.0005020422,0.0006026417,0.0006566155,0.01884588,0.001360067,0.002091898,0.001905687,0.04360057],"study_design_scores_gemma":[0.00001039021,0.0001147016,0.945567,0.00003603288,0.000108809,0.0001443496,0.0008371679,0.04979401,0.0004101855,0.0002956544,0.002659383,0.00002232369],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978147,0.0003644622,0.0005201641,0.0001562923,0.0000107002,0.000004152734,0.0002702728,0.0000135104,0.000845858],"genre_scores_gemma":[0.9964184,0.0006684501,0.000899519,0.00001682293,0.00002412473,0.00001138204,0.001030525,0.000006401373,0.0009243854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02735616,"threshold_uncertainty_score":0.05439383,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2152822374","doi":"10.1080/15140326.2005.12040620","title":"Pure Contagion Effects in International Banking: The Case of BCCI's Failure","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Economics","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economics; Monetary economics; Closure (psychology); Event study; International economics; Financial system; Market economy; History","authors":[{"name":"Angelos Kanas","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009641037928613169,"gpt":0.2113351962052141,"spread":0.2016941582766009,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074668,0.0007114107,0.00100481,0.001335579,0.001244444,0.002251028,0.0009772554,0.001963048,0.002916461],"category_scores_gemma":[0.04599794,0.0003186156,0.0008163627,0.001702749,0.002385988,0.002118476,0.002847962,0.002513684,0.000274367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123514,"about_ca_system_score_gemma":0.0008964356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01834437,"about_ca_topic_score_gemma":0.01214669,"domain_scores_codex":[0.9963453,0.001379529,0.0003206551,0.0005821501,0.000441292,0.0009311075],"domain_scores_gemma":[0.8470325,0.115904,0.02652055,0.004782984,0.002464129,0.003295716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00207614,0.0007592324,0.9257417,0.0001870156,0.0007850775,0.002244625,0.003031043,0.02350466,0.002147536,0.01551932,0.001005978,0.02299759],"study_design_scores_gemma":[0.0003916593,0.001959342,0.792414,0.0001116807,0.001376534,0.0009439265,0.003727938,0.1665542,0.006969945,0.02327063,0.002067953,0.0002121483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958578,0.0001777846,0.002070738,0.0001391164,0.000009753464,0.0000406668,0.000087216,0.000009867475,0.00160706],"genre_scores_gemma":[0.9992812,0.00006966964,0.0002277714,0.00002744024,0.00001714967,0.00002461548,0.00008050702,0.000002317211,0.0002693223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01834437,"threshold_uncertainty_score":0.03948867,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407556659","doi":"10.1080/15140326.2025.2466140","title":"Artificial intelligence and dynamic pricing: a systematic literature review","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Economics","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Economics; Mathematical economics; Microeconomics","authors":[{"name":"Régis Chenavaz","is_ca":false},{"name":"Stanko Dimitrov","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0183795529275451,"gpt":0.2253197756315307,"spread":0.2069402227039856,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007305419,0.001076039,0.003466439,0.01931494,0.0006917383,0.002987501,0.001194177,0.002119072,0.004420013],"category_scores_gemma":[0.03752412,0.0008503611,0.003649711,0.01760353,0.0009562589,0.002741548,0.001348231,0.001172069,0.0004874752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002522597,"about_ca_system_score_gemma":0.01511674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005243998,"about_ca_topic_score_gemma":0.01476201,"domain_scores_codex":[0.9951779,0.00152953,0.001665517,0.0003936376,0.001064233,0.000169208],"domain_scores_gemma":[0.9538084,0.03514692,0.005470844,0.0005678606,0.004549512,0.0004565447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001532526,0.00008423442,0.00218108,0.800663,0.004100901,0.0003489416,0.0004061218,0.0004692111,0.0002640013,0.001943336,0.007492733,0.1818932],"study_design_scores_gemma":[0.00008940326,0.0001764325,0.005288471,0.9095905,0.01541321,0.0008754401,0.000494735,0.0002997796,0.0001738834,0.001963345,0.06557303,0.00006170828],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008502691,0.9975703,0.0002538356,0.0005218203,0.000118066,0.0001034593,0.0001676299,0.000005959846,0.0004085648],"genre_scores_gemma":[0.006996698,0.9913833,0.00059544,0.0005122019,0.0001267715,0.000153865,0.00013459,0.00000374675,0.00009331461],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01931494,"threshold_uncertainty_score":0.03863519,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3023684882","doi":"10.1080/15140326.2020.1750121","title":"Is the sharing economy causing a regime switch in consumption?","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Economics","topic":"Sharing Economy and Platforms","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Royal Roads University","funders":"Royal Roads University","keywords":"Consumption (sociology); Sharing economy; Economics; Diffusion; Digital economy; Transition (genetics); Microeconomics; Economy; Computer science; Thermodynamics","authors":[{"name":"Hany Fahmy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04519358535116878,"gpt":0.2214763352023412,"spread":0.1762827498511725,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001049957,0.0001478915,0.0004775797,0.0005631531,0.0004351788,0.001615697,0.0003618986,0.000947638,0.005010802],"category_scores_gemma":[0.004530322,0.0001656253,0.0007827589,0.000599709,0.00156241,0.001526989,0.0008983454,0.000883728,0.00029328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007961748,"about_ca_system_score_gemma":0.0004796387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005830072,"about_ca_topic_score_gemma":0.004000048,"domain_scores_codex":[0.9996011,0.00009249533,0.00001926745,0.0001080917,0.00004385245,0.0001352642],"domain_scores_gemma":[0.998078,0.0008559732,0.0006700029,0.0001739779,0.00009194486,0.000130086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009885634,0.0005659841,0.7043045,0.0002807807,0.0005641144,0.001716628,0.00490466,0.04693319,0.00824136,0.158359,0.004442532,0.06869864],"study_design_scores_gemma":[0.0001178262,0.0003533043,0.6752914,0.00009900377,0.0002295293,0.0004625577,0.007565038,0.1265694,0.002185882,0.1777664,0.009235293,0.0001243633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856968,0.0001914162,0.004445184,0.001472126,0.00002774119,0.00002220555,0.000120641,0.00005028697,0.007973547],"genre_scores_gemma":[0.9992757,0.00006616951,0.0001700384,0.00006352963,0.00001117894,0.000004185588,0.00002721827,0.00000285654,0.0003790757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005830072,"threshold_uncertainty_score":0.01676285,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389393692","doi":"10.1080/15140326.2023.2289724","title":"Monetary policy and inflation expectations: impact and causal analysis of heterogeneous economic agents’ expectations in South Africa","year":2023,"lang":"en","type":"article","venue":"Journal of Applied Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economics; Monetary policy; Inflation (cosmology); Monetary economics; Quarter (Canadian coin); Wage; Financial sector; Inflation targeting; Business cycle; Macroeconomics; Labour economics; Finance","authors":[{"name":"Thobani Mlangeni","is_ca":false},{"name":"Eugene Msizi Buthelezi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02465534157800596,"gpt":0.2540042420709199,"spread":0.229348900492914,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001520317,0.0002536292,0.0004081875,0.0004852002,0.0003262435,0.001392726,0.0002778301,0.0004413806,0.001279267],"category_scores_gemma":[0.009077524,0.0002588846,0.0003699457,0.0006758998,0.0004169056,0.0009259445,0.0007944237,0.0007820406,0.0000913911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007795658,"about_ca_system_score_gemma":0.0007764028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0239429,"about_ca_topic_score_gemma":0.01196593,"domain_scores_codex":[0.9993079,0.0004279823,0.00003134658,0.00007997916,0.00004829116,0.0001046062],"domain_scores_gemma":[0.9954554,0.003382939,0.000830379,0.0001203589,0.0001197647,0.00009119995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006205789,0.000164994,0.8639204,0.0001116481,0.0004573909,0.00143733,0.003047699,0.08863682,0.001736286,0.0176814,0.0003946647,0.02179091],"study_design_scores_gemma":[0.00006975576,0.0002542579,0.5814722,0.00008193019,0.0002489343,0.0003381937,0.004347041,0.3942652,0.001300069,0.01548503,0.002087616,0.00004972906],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973206,0.0001469084,0.001552073,0.0003109197,0.000003269529,0.000005712191,0.00006243995,0.000004809881,0.0005932363],"genre_scores_gemma":[0.9995689,0.00009480926,0.0001662457,0.000007466926,0.000002292423,0.000002295136,0.00002773834,0.000001186577,0.00012908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0239429,"threshold_uncertainty_score":0.04760706,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2167479273","doi":"10.1080/15140326.2003.12040590","title":"Import Protection, Capital Flows, and Real Exchange Rate Dynamics","year":2003,"lang":"en","type":"article","venue":"Journal of Applied Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economics; Exchange rate; Capital flows; Capital (architecture); Monetary economics; International economics; Production (economics); Relative price; Macroeconomics; International trade; Microeconomics","authors":[{"name":"Larry A. Sjaastad","is_ca":false},{"name":"Meher Manzur","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03320457750860491,"gpt":0.1918675344858373,"spread":0.1586629569772324,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007966434,0.0003253167,0.0003096815,0.0005253882,0.0002373298,0.001916624,0.0002003683,0.0005855502,0.005093],"category_scores_gemma":[0.004267029,0.0001501745,0.0002796532,0.0005705348,0.001223805,0.00123113,0.0006129848,0.0007995315,0.0004881404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007730217,"about_ca_system_score_gemma":0.0004632571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00471853,"about_ca_topic_score_gemma":0.00255649,"domain_scores_codex":[0.9997621,0.00006404556,0.00001563494,0.00003568632,0.00004032937,0.00008226006],"domain_scores_gemma":[0.9950011,0.001865952,0.002438314,0.0002693239,0.0001948868,0.0002304067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004857825,0.0007209352,0.3800247,0.0008868042,0.0007197711,0.002708688,0.003439319,0.1193216,0.02455631,0.3512647,0.005599794,0.1058996],"study_design_scores_gemma":[0.0002686375,0.0005711465,0.8196765,0.000225242,0.0003366849,0.001244256,0.001285422,0.03259032,0.010191,0.1114986,0.02200887,0.0001033474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686896,0.002242526,0.002015958,0.001302657,0.00003024788,0.00001196785,0.0002580281,0.0000337918,0.02541518],"genre_scores_gemma":[0.9971565,0.0009353259,0.0001821315,0.00007392922,0.00002511791,0.000002562168,0.0001399865,0.000006667127,0.001477819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005093,"threshold_uncertainty_score":0.01703781,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402516934","doi":"10.1080/15140326.2024.2398908","title":"A two-edged sword: the impact of public debt on economic growth—the case of Ethiopia","year":2024,"lang":"en","type":"article","venue":"Journal of Applied Economics","topic":"Fiscal Policies and Political Economy","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"International Development Research Centre","keywords":"SWORD; Economics; Debt; Monetary economics; Macroeconomics","authors":[{"name":"Addis Yimer","is_ca":false},{"name":"Alemayehu Geda","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03058999725637341,"gpt":0.2667657780238613,"spread":0.2361757807674879,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009336927,0.0002455338,0.0003651309,0.001112324,0.0007106822,0.002109386,0.0002734731,0.0006369851,0.00109406],"category_scores_gemma":[0.001555072,0.0001516924,0.0003701854,0.001427907,0.00072569,0.001395228,0.0009976674,0.0009413846,0.00008405028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001784352,"about_ca_system_score_gemma":0.001298396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03194718,"about_ca_topic_score_gemma":0.03121455,"domain_scores_codex":[0.9997105,0.0001119913,0.00001167162,0.00002369485,0.00002192055,0.0001201954],"domain_scores_gemma":[0.999012,0.000510231,0.0002319195,0.00002531072,0.0001003864,0.0001202224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008486748,0.0006178131,0.6681667,0.0005036715,0.0004050574,0.02903319,0.003576506,0.1282336,0.002911899,0.1088487,0.007561292,0.0492929],"study_design_scores_gemma":[0.0002694359,0.0005528451,0.6186063,0.001009,0.0006311208,0.004285832,0.07272144,0.1982932,0.006371005,0.06160267,0.03539849,0.0002586903],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907616,0.0009992003,0.0004892813,0.00208512,0.00002098437,0.000009686732,0.0003060253,0.000004067028,0.005323922],"genre_scores_gemma":[0.9985631,0.0007050976,0.000112516,0.0000602537,0.000009836757,0.000002790384,0.00005970726,0.000001370831,0.0004853444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03194718,"threshold_uncertainty_score":0.06352246,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4280645156","doi":"10.1080/15140326.2021.2011582","title":"Asymmetric information, credential assessment services and earnings of new immigrants","year":2022,"lang":"en","type":"article","venue":"Journal of Applied Economics","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Credential; Earnings; Immigration; Variance (accounting); Demographic economics; Census; Population; Service (business); Business; Economics; Econometrics; Labour economics; Political science; Computer science; Demography; Accounting; Marketing; Computer security; Sociology","authors":[{"name":"Stein Monteiro","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006959992082723215,"gpt":0.2477531264162662,"spread":0.240793134333543,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002487138,0.0001455268,0.0002752056,0.001027861,0.001024365,0.00224964,0.0004916844,0.0005286502,0.006754234],"category_scores_gemma":[0.02179682,0.00008253328,0.0002384167,0.0008719575,0.000782149,0.001052068,0.00111005,0.001086966,0.0005498949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002568082,"about_ca_system_score_gemma":0.001792693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1267273,"about_ca_topic_score_gemma":0.1134245,"domain_scores_codex":[0.9989533,0.0002162768,0.00008252048,0.00006970971,0.0003367675,0.0003413174],"domain_scores_gemma":[0.9846449,0.005925211,0.005447343,0.0005994206,0.001624619,0.001758406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002739273,0.0003799123,0.9672242,0.00001975342,0.00003262552,0.0002611231,0.001629565,0.001296156,0.0001097888,0.005739613,0.002696791,0.02033645],"study_design_scores_gemma":[0.00003066507,0.000132779,0.9743186,0.0001067251,0.00003558432,0.0001076083,0.009079216,0.007059726,0.000255272,0.005497913,0.003338917,0.00003709165],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918325,0.0002000164,0.0001614602,0.001309371,0.00001494693,0.00001349433,0.0002797518,0.00000375851,0.006184639],"genre_scores_gemma":[0.9984221,0.00007299012,0.00003933213,0.00004236504,0.00001040348,0.000002755919,0.0001519896,0.000001041712,0.001257095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1267273,"threshold_uncertainty_score":0.2519794,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4223523721","doi":"10.1080/15140326.2021.1927441","title":"Value-at-risk in the presence of asset price bubbles","year":2022,"lang":"en","type":"article","venue":"Journal of Applied Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economics; Asset (computer security); Value at risk; Economic bubble; Constraint (computer-aided design); Value (mathematics); Econometrics; Financial economics; Monetary economics; Risk management; Finance","authors":[{"name":"Raymond Kwong","is_ca":false},{"name":"Helen Wong","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01614007484893489,"gpt":0.2045867780326122,"spread":0.1884467031836773,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007013449,0.0008030706,0.001372701,0.001784553,0.0004118442,0.002499872,0.001612961,0.001796064,0.001886417],"category_scores_gemma":[0.05668898,0.0005251307,0.0007012676,0.0009912796,0.001530899,0.00589308,0.002334015,0.002552485,0.0002286653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006338508,"about_ca_system_score_gemma":0.0007331095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002085935,"about_ca_topic_score_gemma":0.0009642026,"domain_scores_codex":[0.9976918,0.0009861923,0.000153888,0.0005515104,0.0004005809,0.0002161178],"domain_scores_gemma":[0.9520388,0.0375518,0.006003104,0.002162505,0.001338081,0.0009056285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009272499,0.0003126791,0.1873786,0.0006264442,0.0006513844,0.002763061,0.00133956,0.3708438,0.005888754,0.2898242,0.004538683,0.1349055],"study_design_scores_gemma":[0.00001886565,0.0001582553,0.01095811,0.00005104785,0.00006435439,0.0005601211,0.0001631541,0.8640462,0.001583283,0.1212224,0.001116423,0.0000578726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4291461,0.002355927,0.5599923,0.001331921,0.0001954526,0.0000568807,0.0002698869,0.0006193375,0.006032191],"genre_scores_gemma":[0.9785997,0.0003124538,0.01992112,0.00008112535,0.0001281123,0.00002267647,0.0001875491,0.00005642103,0.0006907798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007013449,"threshold_uncertainty_score":0.03709114,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408756760","doi":"10.1080/15140326.2025.2480998","title":"Evaluation of the economic welfare gains from reducing trade administration costs in Mercosur","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Queen's University","funders":"","keywords":"Economics; Welfare; Administration (probate law); International economics; International trade; Market economy; Political science","authors":[{"name":"Mehmet Nazif","is_ca":false},{"name":"Glenn P. Jenkins","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06066323040707061,"gpt":0.259383338451185,"spread":0.1987201080441144,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00137148,0.000450193,0.0004385041,0.0005292981,0.0005264643,0.001067845,0.0007189212,0.0005821299,0.003650056],"category_scores_gemma":[0.003152217,0.0001349975,0.0005630651,0.0005112055,0.0005258186,0.0008276973,0.001073904,0.0006076316,0.0001243523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003662424,"about_ca_system_score_gemma":0.001721768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02755161,"about_ca_topic_score_gemma":0.03095581,"domain_scores_codex":[0.9993833,0.0003188515,0.000008475667,0.00004875456,0.0001015253,0.0001390243],"domain_scores_gemma":[0.998938,0.0004905813,0.0002091681,0.0001013612,0.0001743699,0.00008660203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005672097,0.001378642,0.1176578,0.001001783,0.0008551687,0.001805981,0.0008570101,0.601619,0.01626404,0.1095052,0.009004751,0.1343785],"study_design_scores_gemma":[0.0006862152,0.007039244,0.3213149,0.0004591593,0.001457878,0.0008076935,0.005870301,0.5878184,0.01564693,0.02516565,0.03357089,0.0001628349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798709,0.000555501,0.002191308,0.0006349638,0.00001621542,0.00005437613,0.000293043,0.00004217323,0.01634151],"genre_scores_gemma":[0.9968498,0.0003827306,0.001234239,0.00004717171,0.00001053678,0.00003334608,0.0001531514,0.00000621724,0.001282688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02755161,"threshold_uncertainty_score":0.05478251,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410724299","doi":"10.1080/15140326.2025.2509207","title":"Financial inclusion strategies for slum households: insights from a conjoint analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Economics","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Japan Society for the Promotion of Science","keywords":"Economics; Financial inclusion; Slum; Inclusion (mineral); Conjoint analysis; Microeconomics; Econometrics; Financial services; Finance; Sociology; Preference","authors":[{"name":"Md Abdul Bari","is_ca":false},{"name":"Ghulam Dastgir Khan","is_ca":false},{"name":"Mohammad Osman Gani","is_ca":true},{"name":"Yuichiro Yoshida","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01879820836985685,"gpt":0.2561059277679889,"spread":0.237307719398132,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01817906,0.0004917734,0.0007835669,0.001826205,0.001836282,0.003529377,0.0009555808,0.0008621398,0.004094351],"category_scores_gemma":[0.03583067,0.0002398842,0.001105234,0.002378288,0.001655214,0.00190323,0.002378607,0.001280649,0.0002132231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002664865,"about_ca_system_score_gemma":0.001714394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004750957,"about_ca_topic_score_gemma":0.007677927,"domain_scores_codex":[0.9867362,0.01108286,0.0003801238,0.000336503,0.0009362699,0.0005279414],"domain_scores_gemma":[0.9688764,0.02644457,0.001695235,0.0008879481,0.001473224,0.0006227687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004084005,0.006972339,0.4243888,0.002184116,0.001432268,0.002022616,0.1179792,0.04141069,0.006380504,0.03871295,0.003194571,0.3512379],"study_design_scores_gemma":[0.00023203,0.005176094,0.3006234,0.0009839132,0.0008799594,0.0008848166,0.3584421,0.2396034,0.004435405,0.07857665,0.009701873,0.0004603718],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908173,0.0001943057,0.006020251,0.0004473303,0.000006616168,0.0002288913,0.0001080739,0.000006810653,0.00217038],"genre_scores_gemma":[0.9940838,0.0001292402,0.005325739,0.00006009026,0.000002426259,0.0001132566,0.00004071316,0.000002113967,0.0002427249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01817906,"threshold_uncertainty_score":0.09614122,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3121978843","doi":"10.1080/15140326.2006.12040635","title":"Evaluation of the Benefits of Transnational Transportation Projects","year":2006,"lang":"en","type":"preprint","venue":"Journal of Applied Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Investment (military); Commodity; Business; Distribution (mathematics); Bridge (graph theory); Commerce; Agricultural economics; Economics; International trade; Finance","authors":[{"name":"Glenn P. Jenkins","is_ca":false},{"name":"Chun‐Yan Kuo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08993331187015381,"gpt":0.2294458518016798,"spread":0.139512539931526,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00422117,0.0009766249,0.0007142213,0.00165131,0.0006058323,0.002361338,0.0006338394,0.00101198,0.005997944],"category_scores_gemma":[0.008594333,0.0002778789,0.0008394627,0.001823276,0.000980741,0.002274111,0.002938223,0.001562052,0.0002875786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002370784,"about_ca_system_score_gemma":0.002514028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003055015,"about_ca_topic_score_gemma":0.004777144,"domain_scores_codex":[0.9967237,0.00185877,0.00009866627,0.0001715054,0.0008084027,0.0003389559],"domain_scores_gemma":[0.9966171,0.001354,0.00043453,0.0002283185,0.001100286,0.0002657985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0008364741,0.0006905549,0.03306232,0.0006743289,0.0004431052,0.0008008748,0.0005896178,0.5377907,0.006570201,0.2362431,0.001888174,0.1804105],"study_design_scores_gemma":[0.0001885922,0.004121661,0.0775848,0.0007850023,0.000896733,0.001083416,0.008367898,0.6132089,0.01280672,0.2176064,0.06315566,0.0001940889],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7482814,0.002107225,0.11742,0.001525263,0.0001317545,0.0005781979,0.0005788062,0.0000877192,0.1292897],"genre_scores_gemma":[0.9825064,0.001254948,0.0118139,0.00004146274,0.00002046785,0.000178603,0.0001550215,0.00002520418,0.004004019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005997944,"threshold_uncertainty_score":0.02232397,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411875090","doi":"10.1080/15140326.2025.2522129","title":"Financial market risks and the hedging powers of unconventional assets under different conditions","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Regent College","funders":"","keywords":"Economics; Financial economics; Finance","authors":[{"name":"Idris A. Adediran","is_ca":false},{"name":"Olajide O. Oyadeyi","is_ca":true},{"name":"Olayode W. Agboola","is_ca":false},{"name":"Kofoworola H. Raji","is_ca":false},{"name":"Habeeb F. Ayoade","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01891756261351208,"gpt":0.2372621018990013,"spread":0.2183445392854892,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000794256,0.0002314162,0.0002138064,0.0007770693,0.0001750275,0.001577524,0.0002802096,0.0005289039,0.001516409],"category_scores_gemma":[0.003840088,0.000101515,0.0002446677,0.0006777601,0.0006682274,0.001478278,0.000683459,0.0005675566,0.0001172804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000419834,"about_ca_system_score_gemma":0.0001527291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001537818,"about_ca_topic_score_gemma":0.002267227,"domain_scores_codex":[0.9998296,0.00003632359,0.00001380048,0.00002972462,0.00004969266,0.00004077308],"domain_scores_gemma":[0.9976904,0.0007331178,0.001153076,0.000140855,0.0001382959,0.0001441851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008428348,0.0001976789,0.8708695,0.00007848644,0.0002571266,0.001165525,0.0009316358,0.04454889,0.00745159,0.0376231,0.0006007107,0.03543297],"study_design_scores_gemma":[0.0000187373,0.0003028876,0.922448,0.00003802576,0.00007363047,0.0003166238,0.001602943,0.04324105,0.002880687,0.02742644,0.001603854,0.00004711258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973942,0.0001329229,0.0004715658,0.0000691733,0.000003617988,0.000003352378,0.0000639085,0.000002875895,0.001858399],"genre_scores_gemma":[0.9996018,0.00005901616,0.00006694529,0.000005618613,0.000004759581,8.006365e-7,0.00004616373,7.76196e-7,0.0002141324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001577524,"threshold_uncertainty_score":0.005072892,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}