{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":6,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":6,"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":"70f898654b95","filters":{"venue":"2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California"}},"results":[{"id":"W3125925151","doi":"","title":"Using a Choice Experiment to Assess the Multiple Values of Land in Agricultural Uses in a Peri-urban Area: An Application to Edmonton, Canada","year":2015,"lang":"en","type":"article","venue":"2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Agriculture; Agricultural land; Valuation (finance); Agricultural economics; Population; Geography; Land use; Population growth; Business; Economics","authors":[{"name":"Haoluan Wang","is_ca":false},{"name":"Brent Swallow","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1014307967052711,"gpt":0.2610415286473913,"spread":0.1596107319421202,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006567083,0.001032766,0.001026104,0.0008252285,0.005595011,0.002398181,0.003003226,0.001593644,0.005198031],"category_scores_gemma":[0.007904027,0.0005514094,0.00142055,0.001909475,0.002702201,0.001047925,0.001216348,0.002261434,0.0004141384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04102057,"about_ca_system_score_gemma":0.04267939,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9517942,"about_ca_topic_score_gemma":0.9827608,"domain_scores_codex":[0.996176,0.001296588,0.0001114382,0.0005693034,0.001273564,0.0005731666],"domain_scores_gemma":[0.9926732,0.003557498,0.0005747654,0.0004279092,0.002080077,0.0006865133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03013053,0.0624579,0.5016597,0.003239641,0.001900171,0.00268912,0.04277358,0.0235797,0.03219052,0.02065554,0.03020906,0.2485145],"study_design_scores_gemma":[0.006083603,0.02334896,0.800616,0.0006941058,0.0008650667,0.0002720016,0.03179032,0.07069832,0.006152073,0.008966665,0.0497807,0.0007322553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699622,0.0004426525,0.004572583,0.0005032526,0.0001059515,0.004709839,0.00138443,0.00006987707,0.01824914],"genre_scores_gemma":[0.9230601,0.000998141,0.04224708,0.001024731,0.0000305811,0.006848308,0.001675289,0.00003972243,0.02407593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04820579,"threshold_uncertainty_score":0.2976265,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123089369","doi":"","title":"Estimating the Trade Duration of Kazakhstan’s Wheat Exports","year":2015,"lang":"en","type":"article","venue":"2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California","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":"University of Alberta","funders":"","keywords":"Duration (music); Economics; Probit model; International economics; Production (economics); International trade; Sustainability; Bilateral trade; Probit; Econometrics; Macroeconomics; Geography","authors":[{"name":"Nizami Imamverdiyev","is_ca":false},{"name":"Sven Anders","is_ca":true},{"name":"Thomas Glauben","is_ca":false},{"name":"Oleksandr Perekhozhuk","is_ca":false},{"name":"Sören Prehn","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04537763383764099,"gpt":0.2282543005718118,"spread":0.1828766667341709,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007987862,0.0002421033,0.0003079285,0.002008077,0.0003898805,0.001014661,0.0003111259,0.000345497,0.001846205],"category_scores_gemma":[0.003149239,0.0001929727,0.0004507884,0.002005677,0.000262517,0.0007846439,0.0007182649,0.0004237185,0.0005410719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00050386,"about_ca_system_score_gemma":0.0005202717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0210199,"about_ca_topic_score_gemma":0.01652993,"domain_scores_codex":[0.9997345,0.00006140047,0.00003573969,0.0000801669,0.0000287013,0.00005942637],"domain_scores_gemma":[0.998373,0.00053546,0.0006815987,0.0001250235,0.000159583,0.0001252049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001526933,0.00002921023,0.9835851,0.00002453458,0.00008638625,0.0001189879,0.0003713409,0.006001301,0.0003736653,0.0005117184,0.0005032092,0.008241765],"study_design_scores_gemma":[0.000006855838,0.00005558668,0.980454,0.0000245981,0.00004189234,0.00009361393,0.001111051,0.01540872,0.0002871276,0.0004943811,0.002009437,0.00001269588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972145,0.0001622594,0.000691252,0.00004166473,0.000004020103,0.000003090199,0.001341568,0.00001229019,0.0005293751],"genre_scores_gemma":[0.9959428,0.00007810596,0.0003773931,0.000005358755,0.000007115613,0.000005161009,0.003295799,0.000003096362,0.0002852127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0210199,"threshold_uncertainty_score":0.04179513,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3122634499","doi":"","title":"Understanding the role of government on agri-food private standards in developed countries: Preliminary empirical evidence from Canada","year":2015,"lang":"en","type":"article","venue":"2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Government (linguistics); Empirical evidence; Business; Economics; Public economics; Agricultural economics","authors":[{"name":"Deepananda Herath","is_ca":false},{"name":"Samuel Bonti‐Ankomah","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05911050840723411,"gpt":0.27194152989849,"spread":0.2128310214912559,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002776666,0.0002742386,0.0004679796,0.002864736,0.004954679,0.0051211,0.000965306,0.0009043713,0.004360904],"category_scores_gemma":[0.01527347,0.0002808481,0.0004561698,0.007343316,0.004368542,0.002280368,0.001706725,0.001672913,0.0001484351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06728782,"about_ca_system_score_gemma":0.09149932,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9917088,"about_ca_topic_score_gemma":0.9962292,"domain_scores_codex":[0.9968787,0.0003338512,0.0001126292,0.0002054476,0.001084459,0.001384737],"domain_scores_gemma":[0.9771581,0.006572627,0.003906598,0.0006263444,0.009635951,0.002100417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002363386,0.000260836,0.8927263,0.0001647227,0.0001718931,0.0004419001,0.01313929,0.002475507,0.0002363026,0.05689953,0.005880704,0.02736668],"study_design_scores_gemma":[0.00004384001,0.00004009277,0.9560995,0.0002732475,0.0001562464,0.00003296866,0.02482043,0.001141205,0.0002532967,0.003214321,0.01389085,0.00003409311],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9470795,0.002376523,0.0001499057,0.006187514,0.00001842269,0.00003837656,0.0009368819,0.000007417264,0.04320553],"genre_scores_gemma":[0.9969811,0.0008800713,0.00007405825,0.0002022788,0.000003845857,0.000005137,0.0002877189,0.000002218547,0.00156356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06728782,"threshold_uncertainty_score":0.4882095,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3122526884","doi":"","title":"Disentangling the Links between Energy and Agricultural Markets: The Shale Gas Phenomenon","year":2015,"lang":"en","type":"article","venue":"2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Production (economics); Agriculture; Natural resource economics; Fossil fuel; Agricultural economics; Boom; Baseline (sea); Economics; Oil shale; Shale gas; Business; Environmental science; Geography; Engineering; Microeconomics; Waste management","authors":[{"name":"Ignácio Pérez Domínguez","is_ca":false},{"name":"Sergio-René Araujo-Enciso","is_ca":false},{"name":"Fabien Santini","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02145278331626678,"gpt":0.2133399533186023,"spread":0.1918871700023355,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007437791,0.0002494151,0.0004720397,0.0007038516,0.0004500808,0.002169302,0.0004075461,0.0009224534,0.003299241],"category_scores_gemma":[0.002223186,0.0002104514,0.0004938617,0.0007773038,0.0013005,0.003752703,0.001184976,0.001445306,0.0001148819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000823574,"about_ca_system_score_gemma":0.0006249233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01033896,"about_ca_topic_score_gemma":0.00851006,"domain_scores_codex":[0.9998471,0.00006606599,0.000004017668,0.00001861683,0.0000199254,0.00004431681],"domain_scores_gemma":[0.998806,0.0007905926,0.0002172971,0.00004185515,0.00004481212,0.00009948245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006648013,0.0004566314,0.1064184,0.0001697761,0.0002928869,0.00230441,0.00118766,0.2454237,0.003882107,0.6088095,0.003489277,0.02690073],"study_design_scores_gemma":[0.0001545314,0.0002286361,0.06580921,0.00007206218,0.00009662373,0.0002311756,0.002809264,0.5692896,0.0008490094,0.3547905,0.0055907,0.00007858495],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974134,0.001635638,0.005691984,0.003352202,0.00001789155,0.00001583516,0.000126753,0.00002548577,0.01500024],"genre_scores_gemma":[0.9989655,0.0003895711,0.0001901858,0.00004516322,0.00001301501,0.000002738388,0.00002200454,0.000002983346,0.0003688028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01033896,"threshold_uncertainty_score":0.02055758,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3126133509","doi":"","title":"Empirical Documentation of Bid Shading in the Discriminatory Auction","year":2015,"lang":"en","type":"article","venue":"2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California","topic":"Auction Theory and Applications","field":"Decision 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 Guelph","funders":"","keywords":"Bid shading; Vickrey auction; Proxy bid; Inefficiency; Microeconomics; Allocative efficiency; Revenue equivalence; Bidding; Unique bid auction; Generalized second-price auction; English auction; Auction theory; Econometrics; Economics; Computer science","authors":[{"name":"Rebecca Elskamp","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.104122359489155,"gpt":0.3918051785895174,"spread":0.2876828191003625,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0166813,0.0002823149,0.000797767,0.0009026896,0.0006429964,0.002082066,0.001431599,0.0006576467,0.0028508],"category_scores_gemma":[0.08452271,0.0005694393,0.0005979121,0.001645427,0.002679464,0.002024459,0.001858331,0.001570378,0.0003711425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001358032,"about_ca_system_score_gemma":0.0007342712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002913223,"about_ca_topic_score_gemma":0.002477072,"domain_scores_codex":[0.9867671,0.006351552,0.001321533,0.001648099,0.003285774,0.000625895],"domain_scores_gemma":[0.8331553,0.09777237,0.03793488,0.02317206,0.006181701,0.001783718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001727708,0.001156228,0.8508948,0.0003618762,0.0003988991,0.0004244201,0.004041969,0.03249347,0.003996584,0.04134647,0.001597942,0.06155969],"study_design_scores_gemma":[0.0001672319,0.001094,0.8766011,0.0000963646,0.000127298,0.0007633387,0.002487857,0.07136671,0.004707296,0.03664834,0.005794835,0.000145607],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775856,0.0001919509,0.01449619,0.0001222012,0.00000876186,0.00006960199,0.0001957974,0.00004157976,0.007288343],"genre_scores_gemma":[0.9978963,0.0000266843,0.001530285,0.00002164679,0.00000560701,0.00001929193,0.0001179182,0.000009154472,0.000373177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0166813,"threshold_uncertainty_score":0.08822018,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123915774","doi":"","title":"Price Volatility and Spillovers in Food and Fuel Markets","year":2015,"lang":"en","type":"article","venue":"2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California","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":"University of Alberta","funders":"","keywords":"Volatility (finance); Economics; Monetary economics; Financial economics","authors":[{"name":"Henry An","is_ca":true},{"name":"Feng Qiu","is_ca":true},{"name":"James Rude","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02043933458503674,"gpt":0.2185136758903024,"spread":0.1980743413052657,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00132222,0.0001784967,0.0005478134,0.0008835441,0.0003928751,0.002950107,0.0003549373,0.00112379,0.003638831],"category_scores_gemma":[0.008702116,0.0003687638,0.0005173501,0.0009609771,0.0007590342,0.002912538,0.001173419,0.001667582,0.0002316601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009963532,"about_ca_system_score_gemma":0.0003753121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005148635,"about_ca_topic_score_gemma":0.004240456,"domain_scores_codex":[0.9997413,0.00007141755,0.00001560981,0.00004344945,0.00006091098,0.00006736421],"domain_scores_gemma":[0.9957427,0.002797236,0.0008430782,0.0001591303,0.000212867,0.0002450775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001837302,0.001134972,0.2873761,0.0002295329,0.0008304307,0.001807191,0.00144782,0.148459,0.00513939,0.4676208,0.01369904,0.07041848],"study_design_scores_gemma":[0.0001585541,0.0002321698,0.2918652,0.00007681147,0.00024764,0.0004601339,0.001642128,0.2459591,0.00139129,0.4513964,0.006409618,0.0001608767],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780264,0.001881993,0.003591283,0.004287242,0.00008905523,0.00001294432,0.0002822086,0.00005055448,0.01177831],"genre_scores_gemma":[0.9984864,0.0005260511,0.00009938463,0.00008180242,0.00007994077,0.000002250108,0.00006778465,0.000005000526,0.0006513507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005148635,"threshold_uncertainty_score":0.01217312,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}