{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"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":"9aeea298f5b9","filters":{"venue":"Journal of the Agricultural and Applied Economics Association"}},"results":[{"id":"W4224982556","doi":"10.1002/jaa2.12","title":"Consequences of Chinese tariff and US MFP payments on world soybean‐complex markets","year":2022,"lang":"en","type":"article","venue":"Journal of the Agricultural and Applied Economics Association","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Tariff; Payment; Soybean oil; Soybean meal; Welfare; International economics; China; Economics; Revenue; Business; Food science; Chemistry; Market economy; Finance; Geography","authors":[{"name":"Andrii Baryshpolets","is_ca":true},{"name":"Stephen Devadoss","is_ca":false},{"name":"Ethan Sabala","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02235477534947462,"gpt":0.1863866820048317,"spread":0.1640319066553571,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000998111,0.0005390176,0.0004587786,0.0005549531,0.0008701605,0.001735667,0.0006541135,0.000669369,0.005593356],"category_scores_gemma":[0.002161283,0.0002601688,0.001092375,0.0004205097,0.001469135,0.001362172,0.001008271,0.0009557956,0.0001857011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00364818,"about_ca_system_score_gemma":0.003268572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07915197,"about_ca_topic_score_gemma":0.04590255,"domain_scores_codex":[0.9995304,0.0001474685,0.00001825122,0.00005313074,0.000087721,0.0001630072],"domain_scores_gemma":[0.9993303,0.0002379375,0.0002017201,0.00005439941,0.000108367,0.00006728587],"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":[0.0004907852,0.0002664237,0.02677385,0.0001126593,0.0001574683,0.001080883,0.0002607796,0.7429754,0.007169748,0.2049769,0.002359652,0.01337544],"study_design_scores_gemma":[0.0004043825,0.0005183118,0.04432901,0.00004513169,0.0003782448,0.0002505706,0.001581752,0.8516291,0.008892807,0.08136211,0.01046413,0.0001443837],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721997,0.0001410737,0.005925283,0.0008487847,0.00004149535,0.00004082772,0.0003599937,0.00004516356,0.02039771],"genre_scores_gemma":[0.9976025,0.00009792898,0.0004701685,0.0000726111,0.000005248571,0.0000132545,0.00007073709,0.000004623458,0.001662968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07915197,"threshold_uncertainty_score":0.1573825,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388869311","doi":"10.1002/jaa2.89","title":"Market power in smart farming and the distribution of gains in two‐stage crop production system","year":2023,"lang":"en","type":"article","venue":"Journal of the Agricultural and Applied Economics Association","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Agriculture; Sustainability; Market power; Production (economics); Incentive; Upstream (networking); Distribution (mathematics); Business; Competition (biology); Agricultural economics; Industrial organization; Environmental economics; Economics; Microeconomics; Engineering; Telecommunications","authors":[{"name":"Lana Awada","is_ca":true},{"name":"Peter W.B. Phillips","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01380817091971444,"gpt":0.2162552163550729,"spread":0.2024470454353584,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002837442,0.0005623783,0.001233325,0.0006434679,0.0008705839,0.003077888,0.001642268,0.002698644,0.01673478],"category_scores_gemma":[0.007848541,0.0006356997,0.0009406969,0.0004955641,0.002226831,0.004488434,0.002179789,0.001893135,0.0009111722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003293088,"about_ca_system_score_gemma":0.001260301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006720063,"about_ca_topic_score_gemma":0.004410758,"domain_scores_codex":[0.9988173,0.0004436952,0.00003524455,0.0002403475,0.0001163001,0.0003470531],"domain_scores_gemma":[0.9947177,0.003494267,0.0007955262,0.0002355178,0.0003226642,0.0004344117],"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":[0.0007789992,0.0004188035,0.007105472,0.0002166599,0.0001244697,0.001006779,0.0004797042,0.6876813,0.006230407,0.2746848,0.003119607,0.01815297],"study_design_scores_gemma":[0.0001246883,0.0002936557,0.002711476,0.00002342787,0.00004144597,0.0001136162,0.0003654928,0.9169954,0.0006698428,0.07679429,0.001813267,0.00005341715],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8215788,0.0004418408,0.1336258,0.003700379,0.0000953077,0.0003430081,0.0009441265,0.0002317476,0.03903905],"genre_scores_gemma":[0.9920649,0.00006531883,0.001743051,0.00006111665,0.00001186334,0.00003740767,0.00003128188,0.00001035451,0.005974759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01673478,"threshold_uncertainty_score":0.05598342,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387020187","doi":"10.1002/jaa2.83","title":"Food inflation, agri‐food trade, and COVID‐19: Evidence from South Asia","year":2023,"lang":"en","type":"article","venue":"Journal of the Agricultural and Applied Economics Association","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Food security; Inflation (cosmology); Pandemic; Economics; Food prices; International trade; International economics; 2019-20 coronavirus outbreak; Panel data; Business; Development economics; Geography; Agriculture; Biology; Medicine; Virology","authors":[{"name":"Sylvanus Kwaku Afesorgbor","is_ca":true},{"name":"Sunghun Lim","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04119636574894347,"gpt":0.2195276523520246,"spread":0.1783312866030812,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008633804,0.0002236692,0.0002733832,0.0006889326,0.0003013797,0.0009257257,0.0002122536,0.0002863958,0.002900767],"category_scores_gemma":[0.002422774,0.0001432048,0.0004897758,0.001789508,0.0005138328,0.0006256122,0.001242251,0.001012315,0.0003914127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003964799,"about_ca_system_score_gemma":0.0005763999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02939791,"about_ca_topic_score_gemma":0.02075507,"domain_scores_codex":[0.9997695,0.00007927107,0.00002169402,0.00003771541,0.00003801096,0.00005375707],"domain_scores_gemma":[0.996982,0.0009074468,0.0013052,0.000169495,0.000334499,0.0003013552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000146836,0.00003761025,0.9903825,0.00009139365,0.0002371788,0.000228668,0.0006007924,0.0009631892,0.0002119322,0.0009647521,0.001556257,0.004578783],"study_design_scores_gemma":[0.00001465923,0.00006367138,0.9910512,0.0001209168,0.0001474506,0.00008563901,0.002565405,0.001652194,0.0002747493,0.0006988913,0.003311984,0.00001328997],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992,0.0009949448,0.0002530263,0.00125889,0.00002165821,0.000007032027,0.002372595,0.000006132174,0.003085766],"genre_scores_gemma":[0.9974197,0.00059062,0.00005286364,0.00009968926,0.00001716555,0.000003714882,0.001526796,0.000002320747,0.0002872164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02939791,"threshold_uncertainty_score":0.05845356,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4315796407","doi":"10.1002/jaa2.46","title":"Conflict and small‐scale investment: Evidence from Colombian peace agreement","year":2023,"lang":"en","type":"article","venue":"Journal of the Agricultural and Applied Economics Association","topic":"Agricultural risk and resilience","field":"Agricultural and Biological 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 Calgary","funders":"Instituto Colombiano de Crédito Educativo y Estudios Técnicos en el Exterior; US-UK Fulbright Commission","keywords":"Investment (military); Dividend; Scale (ratio); Armed conflict; Production (economics); Economics; Agriculture; Agricultural productivity; Debt; Civil Conflict; Business; Political science; Finance; Geography; Macroeconomics","authors":[{"name":"Nino Gustavo","is_ca":false},{"name":"Kathy Baylis","is_ca":false},{"name":"Benjamin Crost","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01908784468983675,"gpt":0.1897398496451741,"spread":0.1706520049553373,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001096428,0.0002452923,0.0002880135,0.001048846,0.0007628531,0.001721549,0.0003894555,0.0003563664,0.007142066],"category_scores_gemma":[0.007514232,0.0001406651,0.0001365627,0.001938798,0.0009461859,0.00064462,0.0009979844,0.0006205876,0.0004340813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001316273,"about_ca_system_score_gemma":0.000479773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06291783,"about_ca_topic_score_gemma":0.0785462,"domain_scores_codex":[0.9993955,0.0002401306,0.00003471203,0.00008509937,0.00009403199,0.000150587],"domain_scores_gemma":[0.9830992,0.00719359,0.006931377,0.0005303975,0.001247692,0.0009978757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009569429,0.0002057995,0.964758,0.0003245198,0.0002843786,0.0005547897,0.00239705,0.002023776,0.0005119382,0.003741375,0.003197094,0.02104434],"study_design_scores_gemma":[0.00002798094,0.00004724223,0.991832,0.0000640349,0.00005039188,0.00005636453,0.003214839,0.0009418183,0.0001432186,0.0008007803,0.002807336,0.0000140251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846683,0.001516891,0.0002399133,0.0008061313,0.00001106087,0.00001240931,0.0008930173,0.000005666682,0.01184663],"genre_scores_gemma":[0.9988238,0.0003803044,0.00004306683,0.00002818064,0.000009398479,0.00000531168,0.0003153273,0.000001834663,0.0003926321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06291783,"threshold_uncertainty_score":0.1251032,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}