{"meta":{"query_hash":"a4cdbaeefd42","filters":{"venue":"Journal of Agricultural and Applied Economics"},"cohort_total":51,"direct_labels_cover":1,"predictions_cover":51,"exported":51,"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/a4cdbaeefd42","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Agricultural+and+Applied+Economics"},"results":[{"id":"W1496044810","doi":"10.1017/s1074070800027061","title":"Experimental Evidence on Willingness to Pay for Red Meat Traceability in the United States, Canada, the United Kingdom, and Japan","year":2005,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":102,"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":"Traceability; Willingness to pay; Common value auction; Product (mathematics); Business; Marketing; Verifiable secret sharing; Economics; Agricultural economics; Microeconomics; Computer science; Mathematics","score_opus":0.08408817041626815,"score_gpt":0.22537421512887165,"score_spread":0.1412860447126035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1496044810","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":[0.9891452,0.00014905613,0.000022496492,0.010121914,0.000086117754,0.00035949203,0.00003105704,0.000002398094,0.00008223023],"genre_scores_gemma":[0.9976834,0.00021919423,0.00019005449,0.0016800412,0.00014340683,0.0000216021,0.000019019011,0.0000064256687,0.000036876383],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9990077,0.000016876409,0.0005929768,0.00019104042,0.000026548143,0.00016487627],"domain_scores_gemma":[0.99923515,0.00022410082,0.0003558262,0.00010083433,0.000011549928,0.000072538416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067244325,0.00013643886,0.00025495692,0.000060482096,0.00014593614,0.000082725615,0.00017973712,0.000044430068,0.000013227383],"category_scores_gemma":[0.000022857714,0.00007346571,0.00004353336,0.00009152895,0.000038851766,0.00016378955,0.00002742145,0.00015175276,0.0000026211922],"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":[0.0008093967,0.00047983284,0.16811106,0.00005877313,0.00021492795,5.1956476e-7,0.01221762,0.72346985,0.0006006528,0.082917474,0.007736783,0.0033831203],"study_design_scores_gemma":[0.00081479637,0.00017238689,0.98402244,0.000019844,0.000011441108,0.000016209808,0.0037266724,0.0012456025,0.0006255607,0.001015655,0.008132265,0.0001971511],"about_ca_topic_score_codex":0.0064253197,"about_ca_topic_score_gemma":0.009508579,"teacher_disagreement_score":0.81591135,"about_ca_system_score_codex":0.00030089793,"about_ca_system_score_gemma":0.0000136286535,"threshold_uncertainty_score":0.9713204},"labels":[],"label_agreement":null},{"id":"W1504912969","doi":"10.1017/s1074070800003758","title":"Discussion: Animal Identification Systems in North America: Achievements and Future Challenges","year":2010,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":4,"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":"Identification (biology); Livestock; Politics; Work (physics); Business; Political science; Geography; Engineering; Biology; Ecology","score_opus":0.010473980210507317,"score_gpt":0.18491980265701338,"score_spread":0.17444582244650605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1504912969","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":[0.9906447,0.0004086817,4.4368875e-8,0.008483204,0.0002283036,0.00014616449,0.00001636082,0.0000061309843,0.00006641443],"genre_scores_gemma":[0.9975217,0.0016042653,0.000028253737,0.000024118914,0.00079203804,0.0000037159448,0.000013763731,6.706595e-7,0.000011504043],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99918365,0.000020194353,0.00040063722,0.00018757084,0.00006681041,0.0001411284],"domain_scores_gemma":[0.9994844,0.000041289255,0.00029807148,0.000032445183,0.000034514927,0.00010925043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020212257,0.00012474894,0.00023518056,0.0000131129145,0.00008704285,0.000092942035,0.00013064493,0.00008401136,0.000009630077],"category_scores_gemma":[0.0000051079305,0.00003588891,0.000039158604,0.00008172692,0.0000541333,0.00022221898,0.000036239788,0.00025520512,0.0000018238223],"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":[0.00038801198,0.0006395915,0.12771465,0.00011877397,0.00011061759,0.0000023393322,0.0026934596,0.00044995558,0.37262586,0.0038378008,0.00038943248,0.49102953],"study_design_scores_gemma":[0.0001632171,0.00012808735,0.9900688,0.000004053527,0.000007497508,0.000036354253,0.0057581654,0.0000047383965,0.00019481104,0.00007324726,0.0034496393,0.000111422596],"about_ca_topic_score_codex":0.000015672096,"about_ca_topic_score_gemma":0.00094575767,"teacher_disagreement_score":0.8623541,"about_ca_system_score_codex":0.000018279094,"about_ca_system_score_gemma":0.0000034348247,"threshold_uncertainty_score":0.14635073},"labels":[],"label_agreement":null},{"id":"W1507163425","doi":"10.1017/s1074070800027036","title":"Third-Country Effects on the Market Shares of U.S. Wheat in Asian Countries","year":2004,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":7,"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":"Liberian dollar; Economics; Volatility (finance); Currency; Monetary economics; Imperfect competition; Market share; Exchange rate; International economics; Financial economics; Microeconomics","score_opus":0.014425206173981998,"score_gpt":0.17325078898566404,"score_spread":0.15882558281168205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1507163425","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":[0.9802356,0.0006217109,0.000004710889,0.0034144344,0.00019775468,0.00016170747,0.00007145686,0.0000036014408,0.015289043],"genre_scores_gemma":[0.99750453,0.0013167188,0.000108667766,0.00070495234,0.00025755778,0.0000046280816,0.000003360288,0.000008483889,0.00009109875],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99872744,0.000008426767,0.00083972234,0.00016850042,0.000022055101,0.00023384273],"domain_scores_gemma":[0.9989283,0.00012849482,0.00073019665,0.00012349516,0.000009129273,0.000080382255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004903569,0.00017994807,0.0005648634,0.00012797958,0.00007281075,0.00007541903,0.00022138079,0.00010087286,0.00010575494],"category_scores_gemma":[0.000027334114,0.00011517592,0.00011206275,0.000068857466,0.00006875328,0.00026018432,0.000033331857,0.00023947078,0.000035360263],"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":[0.0009363992,0.00039656964,0.035831865,0.00040344516,0.0006025183,0.0000058126075,0.0050778114,0.118574046,0.00036181023,0.8185278,0.016993357,0.0022885448],"study_design_scores_gemma":[0.0021295876,0.00030054656,0.9413326,0.00012135037,0.000018137933,0.00007578504,0.0006763261,0.000040819017,0.0032407586,0.047441326,0.0042672614,0.00035555055],"about_ca_topic_score_codex":0.00008051882,"about_ca_topic_score_gemma":0.00005363928,"teacher_disagreement_score":0.9055007,"about_ca_system_score_codex":0.00013699058,"about_ca_system_score_gemma":0.000015666941,"threshold_uncertainty_score":0.46967375},"labels":[],"label_agreement":null},{"id":"W1527387983","doi":"10.1017/s1074070800022008","title":"Effects of Japanese Import Demand on U.S. Livestock Prices: Reply","year":2004,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":0,"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; Livestock; Supply and demand; Quarter (Canadian coin); Welfare; Short run; Agricultural economics; Monetary economics; Microeconomics; Market economy","score_opus":0.007144430128309045,"score_gpt":0.16568698304543658,"score_spread":0.15854255291712754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1527387983","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":[0.9854545,0.0014286072,0.000010944321,0.0006244313,0.0003023973,0.00025498995,0.000017249973,0.000009854255,0.011896997],"genre_scores_gemma":[0.9961864,0.0020236871,0.0008958529,0.0003944189,0.0003453893,0.000007506925,0.0000056061394,0.000014424558,0.00012673967],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998155,0.000004886833,0.0012378665,0.00031543628,0.000031814245,0.00025501585],"domain_scores_gemma":[0.9977717,0.00010647587,0.0017374271,0.00014582548,0.000048192436,0.00019038779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032103682,0.0002663324,0.00083257933,0.0001529417,0.000081946026,0.00007090681,0.00026888624,0.00014194126,0.000012034509],"category_scores_gemma":[0.00003450108,0.0001925622,0.00024198816,0.00010327969,0.00006928025,0.00035218126,0.000061868246,0.00025311267,0.00003377137],"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":[0.0013652456,0.0026186584,0.0063569373,0.0012332626,0.002555433,0.000017825916,0.0114339525,0.040823705,0.010914209,0.9149843,0.0057966025,0.0018998644],"study_design_scores_gemma":[0.005015655,0.0015890698,0.92805076,0.0001640276,0.00010268481,0.0002878699,0.0012660061,0.0000028813713,0.01594172,0.043929342,0.0027718537,0.0008781297],"about_ca_topic_score_codex":0.000023168253,"about_ca_topic_score_gemma":0.0000064767123,"teacher_disagreement_score":0.9216938,"about_ca_system_score_codex":0.000117444695,"about_ca_system_score_gemma":0.000020774014,"threshold_uncertainty_score":0.7852459},"labels":[],"label_agreement":null},{"id":"W1544682703","doi":"10.1017/s1074070800027103","title":"Evidence on the Amenity Value of Wetlands in a Rural Setting","year":2005,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":49,"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":"Amenity; Wetland; Property value; Residential property; Value (mathematics); Quarter (Canadian coin); Geography; Property (philosophy); Environmental science; Business; Ecology; Statistics; Mathematics; Economic geography; Real estate","score_opus":0.048794567610768315,"score_gpt":0.19352351852347968,"score_spread":0.14472895091271137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1544682703","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":[0.9940196,0.00032569922,0.000009935181,0.0025139453,0.000066111716,0.00009862784,0.00000826843,0.0000017414341,0.002956061],"genre_scores_gemma":[0.99804455,0.0011225133,0.0003647474,0.00024341902,0.00016615234,0.0000036026968,0.0000015090123,0.000004620001,0.000048895345],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998998,0.000008673621,0.0007407793,0.000108994675,0.000018660001,0.00012487639],"domain_scores_gemma":[0.99899983,0.00012886495,0.00074648915,0.00007611023,0.000006543994,0.00004213994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000704094,0.000102893915,0.00029572044,0.000060835486,0.00004946188,0.000031027692,0.00014226562,0.000051289255,0.000063132116],"category_scores_gemma":[0.000023987708,0.00006793577,0.000079546924,0.0000449672,0.00004568761,0.0002610246,0.00003546313,0.00016737243,0.00003434247],"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":[0.0001890836,0.00028284235,0.43462726,0.00004403099,0.00015051234,2.7618069e-7,0.002425185,0.095968336,0.0025651208,0.44949508,0.0009808016,0.013271457],"study_design_scores_gemma":[0.00042441697,0.00007588195,0.9926386,0.000043956756,0.0000060257476,0.000012911575,0.001064252,0.00019373996,0.0014469821,0.0038449878,0.00013738246,0.00011086343],"about_ca_topic_score_codex":0.000018132163,"about_ca_topic_score_gemma":0.000023731354,"teacher_disagreement_score":0.5580113,"about_ca_system_score_codex":0.00019717283,"about_ca_system_score_gemma":0.0000063153852,"threshold_uncertainty_score":0.277034},"labels":[],"label_agreement":null},{"id":"W1547608521","doi":"10.1017/s1074070800003746","title":"Development and Implementation of a Mandatory Animal Identification System: The Canadian Experience","year":2010,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Identification (biology); Traceability; Agency (philosophy); Government (linguistics); Exploit; Business; Agriculture; Herd; Animal health; Geography; Engineering; Computer science; Computer security; Biology; Ecology","score_opus":0.010531082384817488,"score_gpt":0.20298519825477665,"score_spread":0.19245411586995917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1547608521","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":[0.99908197,0.00002438918,1.3680051e-7,0.000613471,0.000093644965,0.00012277112,0.000009744394,0.000002610349,0.00005124894],"genre_scores_gemma":[0.99969023,0.00001134196,0.00017487362,0.000019759837,0.00008861581,0.0000056531308,0.000005755399,3.2438882e-7,0.0000034254756],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994102,0.000008847437,0.00033925963,0.00009233239,0.000053525513,0.0000958196],"domain_scores_gemma":[0.9995366,0.00003236816,0.0002638838,0.000022064107,0.000052955973,0.00009212455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003036909,0.000066736386,0.00011023352,0.0000085809315,0.00020746059,0.00006978503,0.000109432855,0.00004262129,0.000015129953],"category_scores_gemma":[0.000003346511,0.000021046357,0.000022605353,0.000043668235,0.00006328078,0.00011743924,0.000021029107,0.00009810537,7.0557854e-7],"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":[0.00004758986,0.000039500184,0.0449802,0.00004498328,0.000053268253,3.0386923e-7,0.006396965,0.000021104926,0.86677504,0.009627722,0.00015247008,0.071860865],"study_design_scores_gemma":[0.00007590136,0.000031274067,0.957733,0.0000027942328,0.000006648273,0.00003996503,0.015442034,0.0000012909896,0.02576728,0.000022594573,0.00082273537,0.000054488817],"about_ca_topic_score_codex":0.0015055266,"about_ca_topic_score_gemma":0.13819075,"teacher_disagreement_score":0.9127528,"about_ca_system_score_codex":0.000042535663,"about_ca_system_score_gemma":0.000024455578,"threshold_uncertainty_score":0.87753505},"labels":[],"label_agreement":null},{"id":"W1554819687","doi":"10.1017/s1074070800021891","title":"Measuring the Intensity of Competition in the Japanese Beef Market","year":2004,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":27,"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":"Market power; Competitor analysis; Economics; Residual; Profit (economics); Competition (biology); Agricultural economics; Market share; Marginal cost; Microeconomics; Mathematics; Monopoly","score_opus":0.018005922581086728,"score_gpt":0.16574876787666823,"score_spread":0.14774284529558152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1554819687","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":[0.9787569,0.0007188012,0.0000059688405,0.0032743535,0.00017819209,0.00015621509,0.000015633683,0.000002765957,0.016891193],"genre_scores_gemma":[0.9983077,0.0009818525,0.00014027701,0.00031958643,0.00020768361,0.0000042076736,0.000003372683,0.0000050098056,0.000030316003],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99877036,0.000011605752,0.0008655163,0.00015487474,0.00002822415,0.00016940972],"domain_scores_gemma":[0.9988369,0.00008445667,0.00085890095,0.00012607744,0.000046457837,0.000047220597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010218198,0.00014709221,0.00045680202,0.00007588109,0.00009117935,0.000077568075,0.00035063075,0.00008124923,0.000017058586],"category_scores_gemma":[0.000022372045,0.00007731543,0.00014779018,0.000109263456,0.000084882086,0.00024593095,0.000055573084,0.000289111,0.0000074263435],"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":[0.00061353063,0.000743429,0.018259443,0.00016327346,0.0006397768,0.000003976333,0.016204651,0.021556621,0.0010527866,0.93575835,0.0037971903,0.0012069952],"study_design_scores_gemma":[0.001001264,0.000101175225,0.96088177,0.00003080237,0.00001921603,0.00019168716,0.0049803727,0.000003944066,0.00034581858,0.031359337,0.0009057411,0.00017890034],"about_ca_topic_score_codex":0.000048806374,"about_ca_topic_score_gemma":0.00009981381,"teacher_disagreement_score":0.9426223,"about_ca_system_score_codex":0.00008555123,"about_ca_system_score_gemma":0.000010721289,"threshold_uncertainty_score":0.31528318},"labels":[],"label_agreement":null},{"id":"W1561524466","doi":"10.1017/s1074070800002157","title":"Relative Importance Rankings for Pork Attributes by Asian-Origin Consumers in California: Applying an Ordered Probit Model to a Choice-Based Sample","year":2002,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Manitoba; University of Alberta","funders":"","keywords":"Ranking (information retrieval); Ordered probit; Probit model; Sample (material); Probit; Marketing; Geography; Business; Econometrics; Economics; Computer science","score_opus":0.02677691823663986,"score_gpt":0.2061857487585691,"score_spread":0.17940883052192924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1561524466","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":[0.9914855,0.00019318692,0.0000660709,0.007009806,0.000041847168,0.00067490677,0.00044255753,0.00001896587,0.000067203786],"genre_scores_gemma":[0.99659604,0.00006874897,0.002390495,0.0004954686,0.00020951217,0.00005554827,0.00013016675,0.0000027012272,0.00005134064],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99861336,0.000016649628,0.00058886065,0.0003220868,0.00009511863,0.00036391066],"domain_scores_gemma":[0.99901325,0.0001983706,0.0004182126,0.00003754724,0.00008602571,0.00024658864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020283472,0.0002608659,0.00045890175,0.000021433947,0.00019717522,0.00012000833,0.00022732039,0.00015980682,0.000047057314],"category_scores_gemma":[0.000040603696,0.000097236385,0.00011780497,0.00024511764,0.00003591465,0.00029881852,0.00002763092,0.00024095082,0.000003834515],"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":[0.0010931902,0.0021218462,0.05355312,0.0001879254,0.0004700966,0.0000038974426,0.0029166958,0.05356525,0.72250146,0.0038667715,0.072616175,0.08710356],"study_design_scores_gemma":[0.016012896,0.0051156417,0.7536103,0.0005481843,0.00051109196,0.0002451814,0.012771336,0.008837119,0.04147496,0.011002911,0.14405641,0.0058139437],"about_ca_topic_score_codex":0.000034697852,"about_ca_topic_score_gemma":0.0005120759,"teacher_disagreement_score":0.7000572,"about_ca_system_score_codex":0.000098226716,"about_ca_system_score_gemma":0.000010108806,"threshold_uncertainty_score":0.39651847},"labels":[],"label_agreement":null},{"id":"W1574822655","doi":"10.1017/s1074070800022768","title":"Rationality of U.S. Department of Agriculture Livestock Price Forecasts: A Unified Approach","year":2007,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":8,"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":"Rationality; Economics; Order (exchange); Livestock; Econometrics; Agriculture; Quarter (Canadian coin); Irrational number; Rational expectations; Consensus forecast; Agribusiness; Financial economics; Mathematics; Finance; Geography","score_opus":0.03785842571181928,"score_gpt":0.19926676435320384,"score_spread":0.16140833864138457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1574822655","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":[0.9872961,0.00063041534,0.00080836203,0.00015285135,0.00011825964,0.00021610041,0.00013179352,0.000003853252,0.010642241],"genre_scores_gemma":[0.9948064,0.00035621802,0.004367968,0.000069724185,0.00024030822,0.0000025818345,0.00002975408,0.000007208002,0.0001198321],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9979975,0.000007312162,0.0015247235,0.00019956374,0.000031444728,0.00023946163],"domain_scores_gemma":[0.9975626,0.000075231765,0.0020464822,0.00011805114,0.000044427466,0.00015321867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008044438,0.00018926764,0.0007225904,0.00012508112,0.000056511264,0.000026056454,0.00019428624,0.00013175621,0.00003535296],"category_scores_gemma":[0.000020044312,0.0001393804,0.0002010377,0.00010788145,0.000079206155,0.0002838988,0.000044493263,0.0001698183,0.0000057793513],"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":[0.0011898455,0.0017258865,0.045963123,0.00064668345,0.0017335117,0.0000013309289,0.0054757074,0.1624561,0.0035387906,0.7670575,0.007020553,0.003190976],"study_design_scores_gemma":[0.0015266738,0.00029845798,0.97853774,0.000021099004,0.000043646305,0.0001313922,0.0011716576,0.00012890587,0.005394422,0.010187586,0.0021953697,0.00036304398],"about_ca_topic_score_codex":0.000037216934,"about_ca_topic_score_gemma":0.000010639984,"teacher_disagreement_score":0.9325746,"about_ca_system_score_codex":0.00009859169,"about_ca_system_score_gemma":0.000015551568,"threshold_uncertainty_score":0.5683768},"labels":[],"label_agreement":null},{"id":"W1577094667","doi":"10.1017/s1074070800026651","title":"Developing Policy Relevant Agrifood Models","year":2004,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":13,"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 Guelph; University of Manitoba","funders":"","keywords":"Commodity; Product (mathematics); Government (linguistics); Partial equilibrium; Economics; Industrial organization; Space (punctuation); Public economics; Product differentiation; Commodity market; Business; Microeconomics; General equilibrium theory; Computer science; Market economy","score_opus":0.02324705431637765,"score_gpt":0.18840971813094856,"score_spread":0.1651626638145709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1577094667","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":[0.9651577,0.0014139559,0.0006117289,0.0068223644,0.00028805385,0.00015015737,0.000031865286,0.000018054732,0.025506116],"genre_scores_gemma":[0.98674977,0.004043622,0.007692038,0.0005932901,0.00077021954,0.0000051950706,0.000008579181,0.000016914062,0.00012037006],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99811167,0.000004184665,0.0011982805,0.00031016467,0.000026620635,0.00034909855],"domain_scores_gemma":[0.99848866,0.00003345217,0.0010848505,0.0001279028,0.00005952822,0.00020561967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036257348,0.0002695018,0.00069236517,0.00020714068,0.00014286209,0.00016890107,0.00030444888,0.00016837922,0.000009675274],"category_scores_gemma":[0.000020742404,0.00020364136,0.00020221378,0.00015235032,0.000055759578,0.00071224384,0.000098861885,0.00027839045,0.00005715261],"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":[0.000029799288,0.000046757774,0.00009836466,0.000018434403,0.00013813302,5.607787e-7,0.00040020022,0.015387138,0.00013117155,0.9829694,0.00024108247,0.0005389364],"study_design_scores_gemma":[0.0022098704,0.00020203384,0.10643353,0.000046839585,0.000025000336,0.00038859225,0.0008851291,0.000008468251,0.0013496265,0.8827776,0.0049824785,0.00069087424],"about_ca_topic_score_codex":0.00003247547,"about_ca_topic_score_gemma":0.000023213444,"teacher_disagreement_score":0.10633517,"about_ca_system_score_codex":0.00040745255,"about_ca_system_score_gemma":0.00008083969,"threshold_uncertainty_score":0.8304254},"labels":[],"label_agreement":null},{"id":"W1589288743","doi":"10.1017/s1074070800006854","title":"Assessment of Biotechnology Policies and International Trade in Key Markets for U.S. Agriculture","year":2005,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":8,"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":"China; Agricultural biotechnology; International trade; Agriculture; Commercialization; Business; European union; Economic shortage; Negotiation; Product (mathematics); Biotechnology; Agricultural economics; Economics; Political science; Marketing; Biology; Law","score_opus":0.015633510379580988,"score_gpt":0.239792637804342,"score_spread":0.22415912742476102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1589288743","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":[0.9832625,0.000110149,0.0000036590898,0.01609451,0.000036483103,0.00014823258,0.000025770716,0.0000037524424,0.00031497426],"genre_scores_gemma":[0.99624765,0.0011367698,0.002279211,0.00007648569,0.00022046866,0.0000045264082,0.000008449567,6.9362727e-7,0.000025744843],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992646,0.000010921389,0.00037004013,0.00013118528,0.000062847575,0.00016039741],"domain_scores_gemma":[0.9995897,0.00009930663,0.00019680489,0.000018606392,0.000024208855,0.00007137213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019269857,0.000102623926,0.00023550035,0.000029885568,0.000041720956,0.00004196714,0.00018156537,0.00012631626,0.000016483102],"category_scores_gemma":[0.000012227753,0.000036343346,0.000052238436,0.000077653945,0.0000693689,0.00008716,0.00007005913,0.00014852826,2.1116763e-7],"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":[0.00006077084,0.00014711196,0.0032300998,0.00001437032,0.00005414184,1.5491958e-7,0.00015537912,0.0006180364,0.88104177,0.012903824,0.0004148729,0.10135949],"study_design_scores_gemma":[0.00038336017,0.00015066318,0.9715819,0.000008394691,0.000007588651,0.000050820683,0.000582895,0.000023065122,0.023634931,0.00041517013,0.003071538,0.00008970962],"about_ca_topic_score_codex":0.000007918463,"about_ca_topic_score_gemma":0.00017696504,"teacher_disagreement_score":0.9683518,"about_ca_system_score_codex":0.00004293452,"about_ca_system_score_gemma":0.0000075474773,"threshold_uncertainty_score":0.14820386},"labels":[],"label_agreement":null},{"id":"W1600367916","doi":"10.1017/s107407080000345x","title":"Economic Evaluation of Wind Energy as an Alternative to Natural Gas Powered Irrigation","year":2010,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","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":"Agricultural Research Service; U.S. Department of Agriculture","keywords":"Net metering; Natural gas; Natural gas prices; Irrigation; Electricity; Environmental science; Metering mode; Quarter (Canadian coin); Wind power; Mile; Agriculture; Renewable energy; Natural resource economics; Economics; Business; Engineering; Distributed generation; Waste management; Ecology; Geography; Electrical engineering","score_opus":0.006190074346873771,"score_gpt":0.21745423942608147,"score_spread":0.2112641650792077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1600367916","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":[0.9968198,0.000007415673,0.000002395498,0.00014049208,0.00032411038,0.00014929855,0.0000045531892,0.0000022356694,0.002549727],"genre_scores_gemma":[0.9995241,0.0000069873045,0.00018521523,0.000049625858,0.00017891407,0.000003120547,0.000004677899,0.0000034613595,0.000043910266],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99921143,0.000025580935,0.0003832595,0.00015476147,0.0001133816,0.000111608184],"domain_scores_gemma":[0.99932873,0.000022458978,0.00038316424,0.00008469259,0.00004739434,0.00013355556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006001471,0.000100838166,0.0001970538,0.00002636788,0.000054214368,0.00003474446,0.00013897236,0.00005202572,0.00018404321],"category_scores_gemma":[0.00001714398,0.000066678986,0.00005024947,0.00003285812,0.000055467648,0.00034642182,0.00004854968,0.00010631072,0.000009525049],"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":[0.00048071748,0.0003199209,0.019178456,0.000021372914,0.00018760136,7.4861714e-7,0.0063184183,0.19530308,0.67716,0.015696524,0.0016954272,0.08363773],"study_design_scores_gemma":[0.0008029697,0.00019302838,0.92517185,0.0000054329603,0.000036514084,0.00008279427,0.0018258053,0.0007794058,0.050560836,0.019354334,0.0009930744,0.0001939509],"about_ca_topic_score_codex":0.0007473079,"about_ca_topic_score_gemma":0.0013148871,"teacher_disagreement_score":0.9059934,"about_ca_system_score_codex":0.0002534941,"about_ca_system_score_gemma":0.000029940302,"threshold_uncertainty_score":0.271909},"labels":[],"label_agreement":null},{"id":"W1604055491","doi":"10.1017/s1074070800022094","title":"Japanese Consumers' Perceptions on and Willingness to Pay for Credence Attributes Associated with Canola Oil","year":2006,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":20,"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":"Credence; Willingness to pay; Canola; Affect (linguistics); Scope (computer science); Perception; Credence good; Business; Marketing; Value (mathematics); Oleic acid; Health claims on food labels; Economics; Agricultural science; Food science; Microeconomics; Psychology; Information asymmetry; Biochemistry","score_opus":0.03166606095590707,"score_gpt":0.1826583030316948,"score_spread":0.15099224207578774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1604055491","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":[0.9977988,0.00010913203,0.00006417802,0.000865275,0.00008376458,0.00011828242,0.00013452648,0.000005612046,0.0008204302],"genre_scores_gemma":[0.99830073,0.0002446384,0.0004998158,0.0001655977,0.000119447315,0.00001680048,0.00003310492,0.000009785053,0.0006100996],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991259,0.0000040825644,0.000478633,0.00020710898,0.000016882868,0.00016737204],"domain_scores_gemma":[0.9992923,0.000088511675,0.0004474408,0.00005514936,0.000021449778,0.000095123265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023725389,0.00014373759,0.000347171,0.000053978252,0.00014859888,0.00008555086,0.000073899086,0.00007106865,0.000022320632],"category_scores_gemma":[0.000014496543,0.00009947066,0.000052769534,0.00004330171,0.00004714851,0.00017314916,0.000019186806,0.00009462208,0.0000149912785],"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":[0.00042631474,0.00055537006,0.83379877,0.00008474446,0.00048087732,8.332648e-7,0.0026247802,0.09551468,0.001895666,0.05598584,0.003874309,0.0047578397],"study_design_scores_gemma":[0.00091085956,0.00019101803,0.9962359,0.000022410577,0.000022189364,0.000017121305,0.00071388925,0.00004670178,0.00014339112,0.00097010226,0.0005179632,0.00020847064],"about_ca_topic_score_codex":0.00004776272,"about_ca_topic_score_gemma":0.00009431942,"teacher_disagreement_score":0.16243713,"about_ca_system_score_codex":0.00015548279,"about_ca_system_score_gemma":0.000007335901,"threshold_uncertainty_score":0.40562958},"labels":[],"label_agreement":null},{"id":"W1660898364","doi":"10.1017/s1074070800028352","title":"Alternative Theories and Empirical Approaches to Price Discovery: An Application to Fed Cattle","year":2003,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economics of Agriculture and Food Markets","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 Manitoba","funders":"","keywords":"Price discovery; Empirical research; Cover (algebra); Economics; Set (abstract data type); Basis (linear algebra); Empirical modelling; Econometrics; Positive economics; Computer science; Financial economics; Epistemology; Mathematics","score_opus":0.039380764269817035,"score_gpt":0.21175620524264754,"score_spread":0.1723754409728305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1660898364","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":[0.98457676,0.00037028603,0.0019784938,0.0017274721,0.00015854824,0.00032466272,0.00004473487,0.000008692473,0.010810348],"genre_scores_gemma":[0.99528056,0.00027193708,0.0033879864,0.0005748799,0.00027427543,0.000025387115,0.000009163414,0.0000132487685,0.00016253814],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99861974,0.0000143287925,0.0006834853,0.0004078847,0.000024687079,0.0002498706],"domain_scores_gemma":[0.9989285,0.00006315864,0.00049552094,0.00014012496,0.000032357904,0.00034035643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050132594,0.0002299036,0.00053553755,0.00012129325,0.00013215681,0.00029650034,0.00020554994,0.00009930814,0.000008231873],"category_scores_gemma":[0.000032925087,0.00017046124,0.00007551737,0.00012450428,0.000044075972,0.00065850787,0.000071249604,0.00016573477,0.000029048695],"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":[0.00013343227,0.0001389459,0.0043516997,0.000017291488,0.00013229842,1.7009626e-7,0.002130269,0.0040491894,0.00020861729,0.9868873,0.0005686752,0.0013821373],"study_design_scores_gemma":[0.0015731712,0.0010358529,0.73841673,0.000020693677,0.000049552407,0.00019139517,0.0045084376,0.000042096053,0.0031457874,0.22500913,0.024822814,0.0011843304],"about_ca_topic_score_codex":0.00001247033,"about_ca_topic_score_gemma":0.000034263474,"teacher_disagreement_score":0.76187813,"about_ca_system_score_codex":0.00009976383,"about_ca_system_score_gemma":0.000014871659,"threshold_uncertainty_score":0.69512075},"labels":[],"label_agreement":null},{"id":"W1767698382","doi":"10.1017/s1074070800021258","title":"U.S.-Canadian Tomato Wars: An Economist Tries to Make Sense Out of Recent Antidumping Suits","year":2003,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":16,"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":"Commission; Product (mathematics); Greenhouse; Agricultural economics; Value (mathematics); Economics; Business; International trade; Horticulture; Finance","score_opus":0.044191371663393486,"score_gpt":0.19939035757365753,"score_spread":0.15519898591026404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1767698382","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":[0.97836447,0.00033149752,0.000018523224,0.0011015834,0.00064584083,0.00019492544,0.00014732115,0.000008133842,0.019187704],"genre_scores_gemma":[0.99586684,0.0014429382,0.0016516187,0.00064923574,0.00019860786,0.000003762708,0.000009499515,0.000019468522,0.00015802441],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9977985,0.000012162877,0.0013949235,0.00034026348,0.000021425336,0.0004327191],"domain_scores_gemma":[0.99821746,0.00003444268,0.0008902056,0.0001948939,0.00006555921,0.0005974441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058877876,0.0002640986,0.0008494111,0.00024256957,0.0001250059,0.00017613737,0.00022074657,0.00015340175,0.0001404795],"category_scores_gemma":[0.000039551043,0.00024459278,0.00015583282,0.00011144805,0.000047631314,0.00039663928,0.00003251939,0.00017855735,0.000098808065],"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":[0.0002954225,0.0004571578,0.040056687,0.0001674383,0.0009136305,0.000009101767,0.0050971047,0.042398997,0.0007764603,0.89440155,0.0044786516,0.0109477695],"study_design_scores_gemma":[0.0048905504,0.0010111965,0.523579,0.000091259404,0.000111470836,0.00069560803,0.00882665,0.000101087535,0.0112667605,0.039958782,0.40701202,0.0024555996],"about_ca_topic_score_codex":0.0004472532,"about_ca_topic_score_gemma":0.00394147,"teacher_disagreement_score":0.8544428,"about_ca_system_score_codex":0.00032989072,"about_ca_system_score_gemma":0.000086176624,"threshold_uncertainty_score":0.9974205},"labels":[],"label_agreement":null},{"id":"W1787671820","doi":"10.1017/s1074070800028923","title":"Border Enforcement and Firm Response in the Management of Invasive Species","year":2007,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":20,"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":"Enforcement; Business; Unintended consequences; Public economics; Economics; Ecology; Political science; Biology","score_opus":0.006778770218320827,"score_gpt":0.193446913952407,"score_spread":0.1866681437340862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1787671820","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":[0.98881,0.000031055977,0.000009918635,0.00029114407,0.00003631789,0.00013586767,6.413612e-7,8.4351916e-7,0.010684183],"genre_scores_gemma":[0.99852633,0.0005491392,0.00048093457,0.00019387546,0.00001640791,0.0000020059135,4.4103385e-7,0.0000013067048,0.00022956985],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994964,0.000010571684,0.0002653517,0.00007034311,0.00005059262,0.00010672049],"domain_scores_gemma":[0.9996742,0.00007922438,0.00017248232,0.00004283134,0.0000030557164,0.00002818432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006828367,0.00006610461,0.00010879159,0.000023895245,0.00004528468,0.000012599971,0.00010449217,0.000025345838,0.00010155924],"category_scores_gemma":[0.0000024482026,0.00003527135,0.00002199205,0.000054616015,0.00009038199,0.00007699993,0.00009415197,0.00006942396,0.0000033984554],"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":[0.01514191,0.002130718,0.1871013,0.0006319262,0.0017054086,0.00014838656,0.050918575,0.21016607,0.04004438,0.39776602,0.021878913,0.072366394],"study_design_scores_gemma":[0.00040755433,0.00012922764,0.99032366,0.000007480996,0.000016720565,0.000029817309,0.0056222244,0.0000011740882,0.00053691905,0.00068986096,0.0021830357,0.000052296942],"about_ca_topic_score_codex":0.000007898869,"about_ca_topic_score_gemma":0.00011422364,"teacher_disagreement_score":0.80322236,"about_ca_system_score_codex":0.000051100138,"about_ca_system_score_gemma":0.0000017451009,"threshold_uncertainty_score":0.14383239},"labels":[],"label_agreement":null},{"id":"W2095692684","doi":"10.1017/s1074070800028042","title":"An Evaluation of Canadian and U.S. Policies of Log and Lumber Markets","year":2008,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Forest Management and Policy","field":"Environmental Science","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":"Stumpage; Subsidy; Trade war; Agricultural economics; Duty; Economics; International trade; Business; Market economy; Political science; China","score_opus":0.015195193295515996,"score_gpt":0.20013469484611923,"score_spread":0.18493950155060324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095692684","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":[0.98787713,0.000043916527,6.934105e-8,0.0002358692,0.000014979062,0.000059820024,0.000003616207,5.9231365e-7,0.011764009],"genre_scores_gemma":[0.99899614,0.00069538306,0.00013480418,0.00004508654,0.00003417373,4.8866667e-7,0.000001447366,0.0000015508105,0.00009092939],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996403,0.000008590503,0.00017015735,0.000054161457,0.000053327152,0.000073486684],"domain_scores_gemma":[0.99970084,0.000008088693,0.00015551512,0.00003026551,0.000009958353,0.000095323165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018685797,0.000052519645,0.000113253824,0.000052873642,0.00004531708,0.000009226062,0.000044453725,0.000025578727,0.00009262705],"category_scores_gemma":[0.0000026052744,0.00003470653,0.000013800022,0.00004975061,0.000117022675,0.00015291927,0.000022409988,0.00003234778,0.000001470207],"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":[0.00015215966,0.00018318191,0.86822057,0.00008412375,0.00020455506,0.0000011523229,0.0093377745,0.027326744,0.015435734,0.007089302,0.028839152,0.04312558],"study_design_scores_gemma":[0.00025715947,0.000038667495,0.99818105,0.000002919691,0.000024514628,0.000037935224,0.00015278396,0.00008664969,0.0003051962,0.00023482222,0.0006291455,0.000049138733],"about_ca_topic_score_codex":0.005457732,"about_ca_topic_score_gemma":0.007841902,"teacher_disagreement_score":0.12996052,"about_ca_system_score_codex":0.000029084627,"about_ca_system_score_gemma":0.000008565702,"threshold_uncertainty_score":0.82504946},"labels":[],"label_agreement":null},{"id":"W2097368607","doi":"10.1017/s1074070800009111","title":"Effects of Ownership Restrictions on Farmland Values in Saskatchewan","year":2002,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Heteroscedasticity; Land Values; Value (mathematics); Autoregressive model; Economics; Econometrics; Agricultural economics; Land use; Statistics; Mathematics; Ecology","score_opus":0.013814776009911644,"score_gpt":0.1795918179102297,"score_spread":0.16577704190031806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097368607","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":[0.9968487,0.00019506374,9.148498e-8,0.001194088,0.00009810382,0.00013024596,0.000009397401,0.000005655243,0.0015186585],"genre_scores_gemma":[0.9981763,0.001012091,0.000045946075,0.0001350953,0.00040678016,0.0000034099558,0.000003848908,8.5168176e-7,0.00021571721],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99910676,0.000021552165,0.00048095398,0.00014578043,0.000051956755,0.00019297743],"domain_scores_gemma":[0.9991601,0.00025725525,0.0004073632,0.000024987012,0.00003088516,0.00011940209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010924704,0.00015666896,0.00034923854,0.000029904415,0.00007359874,0.00004244285,0.00015753384,0.00010017348,0.00003307234],"category_scores_gemma":[0.000012254799,0.00005036819,0.000116463765,0.00014445315,0.000041712876,0.00012704125,0.000029156168,0.00018732282,0.0000076234746],"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":[0.0006864359,0.0027466887,0.03232386,0.00027485835,0.0005865225,0.000011265357,0.008448995,0.01576976,0.44831613,0.026902402,0.017505318,0.44642776],"study_design_scores_gemma":[0.00050639914,0.00038693,0.98802054,0.000035301524,0.000022338127,0.0000366037,0.0019230377,0.000007900759,0.0072669154,0.0008217209,0.0007844446,0.0001878786],"about_ca_topic_score_codex":0.00007883274,"about_ca_topic_score_gemma":0.00028196766,"teacher_disagreement_score":0.95569664,"about_ca_system_score_codex":0.000047408586,"about_ca_system_score_gemma":0.0000033990618,"threshold_uncertainty_score":0.20539552},"labels":[],"label_agreement":null},{"id":"W2101351994","doi":"10.1017/s1074070800002479","title":"Land Preservation in British Columbia: An Empirical Analysis of the Factors Underlying Public Support and Willingness to Pay","year":2008,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economic and Environmental Valuation","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":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Willingness to pay; Agriculture; Agricultural economics; Natural resource economics; Agricultural land; Business; Willingness to accept; Land use; Empirical research; Nature reserve; Economics; Environmental resource management; Geography; Ecology","score_opus":0.11821953284510389,"score_gpt":0.22306364986158975,"score_spread":0.10484411701648585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101351994","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":[0.9992792,0.00004487837,0.00003070557,0.0002835944,0.0000618936,0.00010581467,0.000034932822,0.0000018136714,0.00015714056],"genre_scores_gemma":[0.9993098,0.0003280932,0.00013328016,0.000093479735,0.00002566355,0.0000026635648,0.000016269485,0.0000046169444,0.000086161715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904513,0.000009193242,0.0006414739,0.00016657925,0.000021905484,0.00011573132],"domain_scores_gemma":[0.9993185,0.00002999074,0.00048085995,0.00007077938,0.000012942841,0.00008694657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027805133,0.000070269016,0.0003879639,0.00007295312,0.00009991703,0.000102720216,0.00011108726,0.00006584659,0.000038587154],"category_scores_gemma":[0.000012930669,0.00006189123,0.0000756901,0.00017880042,0.00004880467,0.00044847475,0.00004738545,0.000102556405,0.000001036603],"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":[0.0000026787773,0.00003817113,0.9934304,0.000003342033,0.000081748345,8.802285e-8,0.0004200204,0.00560359,0.000013980218,0.0001325527,0.00003945454,0.00023399293],"study_design_scores_gemma":[0.00030740965,0.00004939431,0.9982638,0.0000032231437,0.000028560971,0.0000139279055,0.00043710376,0.00015813473,0.000009448711,0.00048869714,0.00014124092,0.000099086814],"about_ca_topic_score_codex":0.00082075153,"about_ca_topic_score_gemma":0.00983629,"teacher_disagreement_score":0.009015539,"about_ca_system_score_codex":0.00008192419,"about_ca_system_score_gemma":0.000011226271,"threshold_uncertainty_score":0.5488881},"labels":[],"label_agreement":null},{"id":"W2104329116","doi":"10.1017/s1074070800003941","title":"Are Consumers Willing to Pay More for Biodegradable Containers Than for Plastic Ones? Evidence from Hypothetical Conjoint Analysis and Nonhypothetical Experimental Auctions","year":2010,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economic and Environmental Valuation","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":"Vineland Research and Innovation Centre","funders":"","keywords":"Conjoint analysis; Willingness to pay; Probit model; Common value auction; Ordered probit; Probit; Price premium; Economics; Business; Marketing; Microeconomics; Econometrics; Preference","score_opus":0.061158233294131836,"score_gpt":0.22601662041905055,"score_spread":0.1648583871249187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104329116","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":[0.99207056,0.0002087022,0.0054138866,0.001362309,0.00031045306,0.0003300872,0.0002686533,0.0000056576832,0.00002970306],"genre_scores_gemma":[0.9885852,0.000120311284,0.01086296,0.00014336582,0.00017321506,0.00004669297,0.000017411698,0.0000121577295,0.000038708804],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878454,0.0000039076317,0.0006630874,0.00032342286,0.000020958212,0.000204053],"domain_scores_gemma":[0.9987275,0.000345167,0.0006019097,0.000089281406,0.00002258269,0.00021354418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026634603,0.0001774644,0.00056390197,0.00012411072,0.00015414468,0.00011161189,0.00010202082,0.000105788116,0.00004308385],"category_scores_gemma":[0.000074745076,0.0001332781,0.00018882667,0.000058589834,0.00012680877,0.0002161772,0.000035768488,0.00014136283,0.000008617127],"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":[0.0015507691,0.00072835997,0.78721184,0.00010526325,0.004095488,9.788926e-7,0.0038294995,0.04362589,0.0535725,0.10194015,0.001053596,0.0022856551],"study_design_scores_gemma":[0.0014502786,0.00019572634,0.9837378,0.000019873347,0.00027336855,0.000018942645,0.002729327,0.002081168,0.0058495263,0.0026604792,0.0006033979,0.00038009344],"about_ca_topic_score_codex":0.000036658497,"about_ca_topic_score_gemma":0.000086399996,"teacher_disagreement_score":0.19652596,"about_ca_system_score_codex":0.00009356433,"about_ca_system_score_gemma":0.000008700361,"threshold_uncertainty_score":0.5434923},"labels":[],"label_agreement":null},{"id":"W2105363443","doi":"10.1017/s1074070800026894","title":"Predicting Pork Supplies: An Application of Multiple Forecast Encompassing","year":2004,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":6,"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":"Univariate; Quarter (Canadian coin); Competitor analysis; Econometrics; Production (economics); Forecast error; Horizon; Statistics; Service (business); Economics; Operations research; Operations management; Computer science; Mathematics; Marketing; Business; Microeconomics; Geography; Multivariate statistics","score_opus":0.04839483524803331,"score_gpt":0.28837141631345126,"score_spread":0.23997658106541794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105363443","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":[0.9846591,0.000022603714,0.014040276,0.00041199918,0.00004736401,0.00016227974,0.0000149270745,0.000013856873,0.00062763947],"genre_scores_gemma":[0.97361535,0.000023095712,0.026095867,0.00002931756,0.00020672409,0.000008219716,0.00000623128,0.0000058494934,0.000009352504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9985159,0.000010418535,0.0009531621,0.00020458676,0.00017591902,0.00013998475],"domain_scores_gemma":[0.9981538,0.0001807854,0.0011920413,0.00016262838,0.00018755811,0.0001231515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072799594,0.00012203266,0.0003265067,0.0000951776,0.00015836672,0.00012176366,0.00037832328,0.000072168936,0.0000055079922],"category_scores_gemma":[0.00006030668,0.00007329878,0.000093436174,0.00019603295,0.00008880659,0.00035063308,0.00006726363,0.000145014,0.0000030647666],"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":[0.00026052777,0.0007754158,0.061514292,0.000049574675,0.00012730135,5.6592e-7,0.004901581,0.3718388,0.10073409,0.22316024,0.0010008028,0.23563682],"study_design_scores_gemma":[0.002058397,0.0005403131,0.7135097,0.00007831571,0.00007259064,0.00044344756,0.0105442535,0.0035673683,0.075216144,0.1913659,0.0020699885,0.00053362094],"about_ca_topic_score_codex":0.000027071077,"about_ca_topic_score_gemma":0.000054070973,"teacher_disagreement_score":0.65199536,"about_ca_system_score_codex":0.00005422764,"about_ca_system_score_gemma":0.000031442905,"threshold_uncertainty_score":0.29890376},"labels":[],"label_agreement":null},{"id":"W2119724346","doi":"10.1017/s1074070800003114","title":"Factors Influencing Wheat Yield and Variability: Evidence from Manitoba, Canada","year":2009,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Yield (engineering); Cultivar; Agronomy; Fertilizer; Winter wheat; Environmental science; Precipitation; Nitrogen fertilizer; Biodiversity; Diversity (politics); Biology; Geography; Ecology","score_opus":0.02262994577816291,"score_gpt":0.17746797294518712,"score_spread":0.15483802716702422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119724346","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":[0.99830955,0.00020278254,3.2203945e-7,0.0011601016,0.00010469631,0.00006751308,0.000020851621,0.000007077175,0.00012707907],"genre_scores_gemma":[0.9989556,0.00032651107,0.000055326014,0.00036958605,0.00027882966,4.994225e-7,0.000006204989,5.0022595e-7,0.000006940871],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992404,0.00001296151,0.00033029943,0.00016849101,0.00008354539,0.00016431075],"domain_scores_gemma":[0.9992083,0.00032282664,0.00021800288,0.000028616358,0.000045933266,0.00017634113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013264017,0.00015590238,0.00027697877,0.0000066996267,0.00011278836,0.00010166288,0.00013384449,0.00007715468,0.000016917667],"category_scores_gemma":[0.000033839522,0.00005286489,0.00005338146,0.000058996553,0.000030054653,0.00019934536,0.000034386452,0.0001677723,2.5630592e-7],"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":[0.00026908045,0.00013336813,0.4332408,0.000023494571,0.00023369132,0.000005390095,0.0010783547,0.0012819207,0.43305627,0.0012595505,0.0013357125,0.12808236],"study_design_scores_gemma":[0.00007549128,0.000094110415,0.9933326,0.000025221472,0.000027249178,0.00001932521,0.0017547222,0.000013913431,0.0036008127,0.0008518776,0.000055327448,0.00014934682],"about_ca_topic_score_codex":0.037426945,"about_ca_topic_score_gemma":0.24895369,"teacher_disagreement_score":0.5600918,"about_ca_system_score_codex":0.00009918869,"about_ca_system_score_gemma":0.000023230526,"threshold_uncertainty_score":0.96898293},"labels":[],"label_agreement":null},{"id":"W2121543771","doi":"10.1017/s1074070800002662","title":"Effects of Price and Quality Differences in Source Differentiated Beef on Market Demand","year":2009,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":4,"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":"Cooperative State Research, Education, and Extension Service; U.S. Department of Agriculture","keywords":"Hanwoo; Price elasticity of demand; Quality (philosophy); Order (exchange); Economics; Welfare; Consumer demand; Agricultural economics; Business; Beef cattle; Preference; Microeconomics; Food science; Animal science; Market economy; Chemistry","score_opus":0.011737435873716853,"score_gpt":0.18038940849559518,"score_spread":0.1686519726218783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121543771","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":[0.9921232,0.0015187021,0.000021144275,0.00041460007,0.00010646179,0.00018721595,0.00001315479,0.0000058618034,0.0056096874],"genre_scores_gemma":[0.9964442,0.00294617,0.00016393728,0.00015862682,0.000105918785,0.0000027088017,0.0000027896242,0.000005833666,0.00016976107],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99834305,0.000020984373,0.0011024285,0.00027911685,0.00002720206,0.0002272222],"domain_scores_gemma":[0.9983718,0.00022476878,0.0011589825,0.00008517,0.000025904905,0.00013342207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004526238,0.00023245518,0.00090476853,0.0001608437,0.000055458233,0.00007638604,0.00017529055,0.00014658974,0.000014195101],"category_scores_gemma":[0.000037564212,0.00016597655,0.000114284376,0.00009121439,0.00005252423,0.00022402375,0.00004160105,0.00024141658,0.000002791654],"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":[0.0034040662,0.0038173841,0.34635833,0.0015123131,0.0015836125,0.000005947204,0.005847634,0.0014283371,0.014087779,0.59482,0.0033191124,0.02381549],"study_design_scores_gemma":[0.001437322,0.000325592,0.9879443,0.000060037804,0.00001590883,0.0000125946835,0.00017234207,0.000010368808,0.001186679,0.008466507,0.00012123599,0.00024711044],"about_ca_topic_score_codex":0.000011849422,"about_ca_topic_score_gemma":0.000011756298,"teacher_disagreement_score":0.641586,"about_ca_system_score_codex":0.00005148897,"about_ca_system_score_gemma":0.0000064684186,"threshold_uncertainty_score":0.67683274},"labels":[],"label_agreement":null},{"id":"W2123909899","doi":"10.1017/s107407080000314x","title":"Best Management Practices to Enhance Water Quality: Who is Adopting Them?","year":2009,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":40,"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 Laval; University of Lethbridge","funders":"","keywords":"Riparian buffer; Riparian zone; Agricultural science; Buffer strip; Business; Quality (philosophy); Manure management; Manure; Agricultural engineering; Club; Production (economics); Residence; Agricultural economics; Environmental science; Water quality; Agronomy; Economics; Engineering; Ecology; Biology; Demographic economics","score_opus":0.08045208084254525,"score_gpt":0.24936895742508391,"score_spread":0.16891687658253868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123909899","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":[0.97390616,0.00015609665,0.000110304914,0.004130052,0.00012042686,0.00014458594,0.000010144174,0.0000049596792,0.021417297],"genre_scores_gemma":[0.99227107,0.0013594535,0.0032897235,0.0015282336,0.00023796571,0.0000040311393,0.0000046520945,0.0000071378436,0.0012977194],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986547,0.0000058056517,0.00084636814,0.00025349754,0.000024834237,0.00021479372],"domain_scores_gemma":[0.99871,0.000019667521,0.0010354163,0.00010657158,0.000011734158,0.00011665732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054893264,0.00015520246,0.00038994942,0.00006148141,0.00010480709,0.00013245952,0.00016235655,0.000062311476,0.00015028215],"category_scores_gemma":[0.0000064450123,0.00011343883,0.00009068289,0.000037355996,0.000018000812,0.00044128133,0.00005561609,0.00012648848,0.00048749187],"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":[0.00063945306,0.0015518591,0.09304852,0.0003225968,0.0016893757,0.0000050517096,0.019612638,0.04055177,0.0074887937,0.5927276,0.014293313,0.22806905],"study_design_scores_gemma":[0.00074572675,0.00024041516,0.953937,0.00003941881,0.000042972573,0.000044383774,0.003043015,0.000016269203,0.008133832,0.015019265,0.018176416,0.0005612779],"about_ca_topic_score_codex":0.000008264976,"about_ca_topic_score_gemma":0.00000204761,"teacher_disagreement_score":0.8608885,"about_ca_system_score_codex":0.00012346898,"about_ca_system_score_gemma":0.0000022296672,"threshold_uncertainty_score":0.6265884},"labels":[],"label_agreement":null},{"id":"W2128666375","doi":"10.1017/s1074070800003862","title":"Analysis of Import Demand for Wooden Beds in the U.S.","year":2010,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":26,"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":"China; Almost ideal demand system; Trade diversion; Economics; International trade; Developing country; Great Depression; Business; International economics; Trade barrier; International free trade agreement; Production (economics); Economic growth; Geography; Macroeconomics","score_opus":0.01068204226615212,"score_gpt":0.18835604482829915,"score_spread":0.17767400256214702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128666375","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":[0.99324524,0.0003753475,0.000024092387,0.00083912665,0.0001944997,0.00019145811,0.000075338445,0.0000021718736,0.0050527332],"genre_scores_gemma":[0.9983667,0.0004972986,0.00068206683,0.00015774075,0.00022012218,0.000010813546,0.00001858231,0.0000055506202,0.000041104817],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99850994,0.0000048671777,0.001091131,0.0001909539,0.000019308733,0.00018381451],"domain_scores_gemma":[0.99848735,0.00014761779,0.0011213603,0.00013492058,0.000041917312,0.000066818604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010679959,0.00014892047,0.00071968674,0.0002466401,0.00005688487,0.00007332709,0.0003282174,0.0001303858,0.000022613529],"category_scores_gemma":[0.000024776795,0.00009160323,0.00031427253,0.00022995456,0.000052400206,0.00022138507,0.00003305406,0.0002457287,0.0000021814203],"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":[0.0003079543,0.00055877125,0.19931859,0.00009872451,0.0035939044,8.793735e-7,0.0038415503,0.009059182,0.0026373463,0.7739475,0.0037654147,0.0028702333],"study_design_scores_gemma":[0.00068291917,0.00009343909,0.98378,0.0000031922068,0.00017620822,0.00002345323,0.00066230557,0.00005107485,0.00023607638,0.011497138,0.00261541,0.00017877705],"about_ca_topic_score_codex":0.000012806658,"about_ca_topic_score_gemma":0.00023803211,"teacher_disagreement_score":0.78446144,"about_ca_system_score_codex":0.000022037862,"about_ca_system_score_gemma":0.0000113140795,"threshold_uncertainty_score":0.37354714},"labels":[],"label_agreement":null},{"id":"W2165693736","doi":"10.1017/s107407080000331x","title":"Optimal Grazing Termination Date for Dual-Purpose Winter Wheat Production","year":2010,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","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":"","funders":"","keywords":"Grazing; Acre; Forage; Winter wheat; Production (economics); Agronomy; Dual purpose; Marginal value; Environmental science; Biology; Economics; Engineering","score_opus":0.013440524553928744,"score_gpt":0.2090749838729338,"score_spread":0.19563445931900506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165693736","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":[0.9966673,0.000016316328,0.0000031777713,0.0025644393,0.00038640955,0.00017123231,0.000014760509,0.0000083156465,0.00016803111],"genre_scores_gemma":[0.99775606,0.000095807525,0.0007604433,0.00008401327,0.0011567308,0.000008920281,0.000039000308,7.295671e-7,0.000098273216],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999413,0.00000763423,0.00026626495,0.0001474722,0.00003210269,0.00013350333],"domain_scores_gemma":[0.9995175,0.00005624721,0.0002376239,0.00001890486,0.00009559245,0.00007411179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014275296,0.00010313685,0.00018180415,0.00001335975,0.00014124572,0.00006267874,0.00007242525,0.00007133705,0.000015430001],"category_scores_gemma":[0.000016729457,0.000036005487,0.000078976314,0.000042310734,0.000047745732,0.00024606142,0.000024154011,0.0001340859,0.0000031096429],"study_design_candidate":"bench_or_experimental","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":[0.0000943879,0.00005824272,0.0002889147,0.0000060452626,0.0000104640585,1.038806e-7,0.000038836533,0.0001093187,0.97874475,0.0010746402,0.0010488955,0.01852542],"study_design_scores_gemma":[0.00045086248,0.00037418163,0.84872466,0.000015043719,0.000027270065,0.00026911736,0.0006269999,0.000009969686,0.13604367,0.0010521772,0.01219703,0.00020902471],"about_ca_topic_score_codex":0.000001408749,"about_ca_topic_score_gemma":0.000036592148,"teacher_disagreement_score":0.84843576,"about_ca_system_score_codex":0.000008919039,"about_ca_system_score_gemma":0.0000033020763,"threshold_uncertainty_score":0.14682612},"labels":[],"label_agreement":null},{"id":"W2170266511","doi":"10.1017/s1074070800022124","title":"Is There an End to U.S.–Canadian Softwood Lumber Disputes?","year":2006,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"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":"Tariff; Subsidy; Economics; International economics; International trade; Commercial policy; Business; Market economy","score_opus":0.026971912531611183,"score_gpt":0.17116486786935362,"score_spread":0.14419295533774243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170266511","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":[0.9837672,0.00028365024,0.000054058524,0.001768324,0.00017697594,0.00011546741,0.00008135493,0.000005278662,0.013747705],"genre_scores_gemma":[0.9967918,0.00017448569,0.0011538533,0.0008560846,0.00043372283,0.0000046148602,0.000022160695,0.000013173892,0.0005501255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886465,0.000003987963,0.0006445873,0.0002321547,0.000017649916,0.00023699716],"domain_scores_gemma":[0.9991997,0.000013013406,0.0004009795,0.00010453454,0.000012495691,0.00026926576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023903616,0.0001557135,0.00033394966,0.00010251648,0.000111576024,0.00012351114,0.00015680707,0.00009252654,0.00044449352],"category_scores_gemma":[0.0000029939395,0.00013413152,0.00009074095,0.000051090698,0.00003166293,0.0003898242,0.00002820769,0.0001164476,0.00029776004],"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":[0.000053987704,0.0003358718,0.544043,0.00003360234,0.00027453527,0.0000018881616,0.0017455064,0.03536576,0.0004726651,0.3859269,0.02212401,0.009622274],"study_design_scores_gemma":[0.000404273,0.00007387723,0.9749267,0.0000043849577,0.000009637385,0.00002934171,0.000259618,0.000025651865,0.00022782313,0.013404367,0.010405566,0.00022873259],"about_ca_topic_score_codex":0.002106179,"about_ca_topic_score_gemma":0.0036402957,"teacher_disagreement_score":0.43088374,"about_ca_system_score_codex":0.00024533086,"about_ca_system_score_gemma":0.000015892267,"threshold_uncertainty_score":0.5469725},"labels":[],"label_agreement":null},{"id":"W2410206648","doi":"10.1017/aae.2015.14","title":"CROSS HEDGING WINTER CANOLA","year":2015,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":6,"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 Agricultural Statistics Service; National Institute of Food and Agriculture; Oklahoma Agricultural Experiment Station; U.S. Department of Agriculture","keywords":"Canola; Futures contract; Hedge; Economics; Agribusiness; Futures market; Soybean meal; Financial economics; Agronomy; Business; Agricultural economics; Agricultural science; Environmental science; Biology; Agriculture; Botany","score_opus":0.02314962529267546,"score_gpt":0.2074516710732778,"score_spread":0.18430204578060233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2410206648","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":[0.9730915,0.00042486345,0.0001392419,0.0004004079,0.00042654492,0.000061620674,0.000026378553,0.0000062461277,0.02542324],"genre_scores_gemma":[0.99820584,0.0001352629,0.0006176076,0.00013411626,0.00030885663,0.0000014965364,0.000004005276,0.000007794232,0.00058499945],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988932,0.000004626723,0.0007236522,0.00017464094,0.000019676172,0.00018421211],"domain_scores_gemma":[0.9990053,0.000024061581,0.0006165598,0.00009306098,0.000058949227,0.00020204805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006096728,0.00013331446,0.0003975475,0.00006682836,0.00006002703,0.00017385223,0.00016225751,0.00007840676,0.000052871022],"category_scores_gemma":[0.000025721667,0.00010256792,0.0001026195,0.000057119476,0.000047098656,0.00028674674,0.000065629494,0.00017840555,0.000016291659],"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":[0.00028938413,0.00018906742,0.8329506,0.00006598292,0.00033913497,0.0000021940727,0.0018545839,0.005084087,0.0001033428,0.14931354,0.0043843,0.0054238117],"study_design_scores_gemma":[0.0014167489,0.00009681206,0.9512509,0.000012191387,0.000011100026,0.00012376798,0.0005092444,0.0008827737,0.00009291336,0.032069482,0.013186771,0.00034729016],"about_ca_topic_score_codex":0.00001911749,"about_ca_topic_score_gemma":0.000016234466,"teacher_disagreement_score":0.118300326,"about_ca_system_score_codex":0.00012174786,"about_ca_system_score_gemma":0.00001811728,"threshold_uncertainty_score":0.41825986},"labels":[],"label_agreement":null},{"id":"W2552349114","doi":"10.1017/aae.2016.26","title":"WELFARE ANALYSIS OF THE U.S.-MEXICAN TOMATO SUSPENSION AGREEMENT","year":2016,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":5,"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":"Welfare; Consumption (sociology); Economics; Free trade agreement; Suspension (topology); Trade agreement; International economics; Agricultural economics; International trade; Free trade; Market economy; Mathematics; Sociology","score_opus":0.009822811116604761,"score_gpt":0.16689741997868296,"score_spread":0.1570746088620782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2552349114","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":[0.9863288,0.0004020445,0.000015783073,0.0048619322,0.00026439756,0.00011664334,0.00008073537,0.0000041259177,0.007925542],"genre_scores_gemma":[0.99854904,0.0007184295,0.00017272659,0.00012467988,0.00012543879,0.0000025117308,0.0000033541157,0.0000060657344,0.0002977454],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984506,0.000009081341,0.0010833062,0.0002287596,0.000031865246,0.00019642078],"domain_scores_gemma":[0.9980384,0.00005561709,0.0015363159,0.00019717985,0.00006161967,0.00011087999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036904018,0.00017731756,0.00072427024,0.00016710514,0.000104769984,0.000043766137,0.00033334416,0.00009831296,0.00014662235],"category_scores_gemma":[0.000018545843,0.00008432937,0.00041934528,0.00023894897,0.00007720243,0.00022722699,0.00012225263,0.000103853716,0.000013258299],"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":[0.00019944685,0.0003070131,0.077768825,0.000051275376,0.0052856323,6.337211e-7,0.00075255736,0.0032516604,0.0063575567,0.8948899,0.0050455127,0.006089982],"study_design_scores_gemma":[0.00061283,0.00007199491,0.98827195,0.000017056733,0.0001971035,0.000016780588,0.000339839,0.0000051510924,0.0021408785,0.004181997,0.0039416696,0.00020276247],"about_ca_topic_score_codex":0.000013640238,"about_ca_topic_score_gemma":0.00007099511,"teacher_disagreement_score":0.9105031,"about_ca_system_score_codex":0.00009676969,"about_ca_system_score_gemma":0.000009320553,"threshold_uncertainty_score":0.34388515},"labels":[],"label_agreement":null},{"id":"W2760089111","doi":"10.1017/aae.2017.16","title":"BANKERS’ FORECASTS OF FARMLAND VALUES: A QUALITATIVE AND QUANTITATIVE EVALUATION","year":2017,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":6,"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":"Real estate; Land Values; Quarter (Canadian coin); Economics; Qualitative analysis; Agriculture; Econometrics; Agricultural economics; Actuarial science; Qualitative research; Finance; Land use; Geography; Ecology","score_opus":0.06641368695957531,"score_gpt":0.3037192914983957,"score_spread":0.2373056045388204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760089111","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":[0.9962731,0.00021280583,7.336857e-7,0.0014624669,0.00009082881,0.0001818829,0.00004684503,0.000002718237,0.0017286439],"genre_scores_gemma":[0.9985149,0.00079615624,0.00035284323,0.000045601533,0.00023245308,0.0000040215373,0.000013537015,8.131369e-7,0.000039675026],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99908745,0.000040121195,0.00047673337,0.00016376008,0.00007884748,0.00015310782],"domain_scores_gemma":[0.9982658,0.00020247673,0.0011957384,0.00004167217,0.00017377952,0.0001205066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006358664,0.0001562654,0.00038827938,0.000015661848,0.00029436877,0.0001521285,0.00019711826,0.0000823734,0.000026312415],"category_scores_gemma":[0.000058061367,0.000052416744,0.00009597982,0.000032122774,0.00015290764,0.00038018197,0.00008095928,0.00011090492,0.0000019693457],"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":[0.0013491866,0.00048783535,0.01385619,0.00017609794,0.0014618543,0.0000014698169,0.054350268,0.0021115427,0.19002834,0.14467901,0.0038902261,0.587608],"study_design_scores_gemma":[0.00066685973,0.00043217538,0.97218174,0.000032777287,0.00007750049,0.000048368685,0.016237397,0.000056717592,0.0019465991,0.0077242116,0.0003768273,0.00021885436],"about_ca_topic_score_codex":0.00010879945,"about_ca_topic_score_gemma":0.00021731727,"teacher_disagreement_score":0.9583255,"about_ca_system_score_codex":0.000032469736,"about_ca_system_score_gemma":0.000011237896,"threshold_uncertainty_score":0.22640763},"labels":[],"label_agreement":null},{"id":"W2782777865","doi":"10.1017/aae.2019.41","title":"Greenhouse Gas Emissions and Technical Efficiency in Alberta Dairy Production: What Are the Trade-Offs?","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Alberta Livestock and Meat Agency; Canadian Dairy Commission; Alberta Agriculture and Forestry","keywords":"Greenhouse gas; Production (economics); Tonne; Agricultural economics; Revenue; Natural resource economics; Environmental science; Economics; Environmental economics; Agricultural science; Business; Waste management; Engineering; Microeconomics","score_opus":0.004948298023219328,"score_gpt":0.1788805399036104,"score_spread":0.17393224188039108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782777865","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":[0.98958284,0.00012415706,6.151036e-7,0.00929084,0.00008864347,0.00025494673,6.659803e-7,0.0000038131293,0.00065346976],"genre_scores_gemma":[0.99854237,0.000945698,0.000058501242,0.00014643001,0.00008328825,0.000003402501,0.0000010748734,0.000004113602,0.0002151071],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919814,0.000018848097,0.00030654334,0.00020688992,0.00008320076,0.00018639721],"domain_scores_gemma":[0.99951506,0.000056211175,0.00020961423,0.000099245626,0.0000020917723,0.00011778122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020582393,0.00014263327,0.00020945986,0.000014174081,0.000120785546,0.000082471764,0.00015078564,0.00007928197,0.00006339645],"category_scores_gemma":[0.0000128088695,0.00006567794,0.000053474614,0.000095362564,0.0001732773,0.00059275806,0.000127087,0.0002793155,0.000013537218],"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":[0.00053979445,0.0019086669,0.66798097,0.00015321802,0.000120120574,0.00000760432,0.011489595,0.19834255,0.047260173,0.0012225055,0.011050675,0.059924163],"study_design_scores_gemma":[0.0002797755,0.000094173534,0.9880342,0.00002345679,0.0000147676865,0.00041661627,0.009140974,0.0000068025643,0.00043039848,0.0003467774,0.0010757269,0.00013633842],"about_ca_topic_score_codex":0.0000288256,"about_ca_topic_score_gemma":0.0001988427,"teacher_disagreement_score":0.32005325,"about_ca_system_score_codex":0.00017031217,"about_ca_system_score_gemma":0.000004537455,"threshold_uncertainty_score":0.26782686},"labels":[],"label_agreement":null},{"id":"W2972345233","doi":"10.1017/aae.2019.31","title":"Impacts of U.S., Mexican, and Canadian Trade Agreement on Commodity and Labor Markets","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":10,"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":"Commodity; Economics; Incentive; Consumption (sociology); International economics; Production (economics); Free trade agreement; Trade agreement; International trade; Bilateral trade; Free trade; Market economy; Macroeconomics; Political science","score_opus":0.01718156723879096,"score_gpt":0.17082161338258978,"score_spread":0.1536400461437988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972345233","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":[0.98921204,0.0007892581,2.9258652e-7,0.0020881942,0.00017087259,0.00014322191,0.0002263796,0.0000020589882,0.0073677017],"genre_scores_gemma":[0.9966286,0.0026137487,0.00014882155,0.00047385631,0.000082866536,0.0000010884102,0.00000639145,0.0000066536763,0.00003798251],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892426,0.0000053186786,0.0006289994,0.00019631418,0.00001674921,0.00022838962],"domain_scores_gemma":[0.99898946,0.000042298427,0.00055580324,0.000093093084,0.000012312462,0.00030701864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029032628,0.00016316358,0.0005396732,0.00011445956,0.00005811452,0.000069236994,0.00011010442,0.00009883054,0.000058398666],"category_scores_gemma":[0.000007358225,0.00013308717,0.00006336039,0.00004656695,0.0000523228,0.00019172623,0.000031407017,0.00015855605,0.000015033749],"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":[0.0002881876,0.00016637724,0.59234285,0.00020867494,0.0005207366,0.0000016695868,0.0010564981,0.0011931761,0.00032054159,0.39612758,0.003771346,0.004002338],"study_design_scores_gemma":[0.0009276308,0.00017721338,0.9888844,0.000019309753,0.000012439174,0.0000452661,0.00038937898,0.00002438369,0.00024517762,0.0041853664,0.0048994995,0.00018991533],"about_ca_topic_score_codex":0.0009801745,"about_ca_topic_score_gemma":0.0018373742,"teacher_disagreement_score":0.39654157,"about_ca_system_score_codex":0.000108668144,"about_ca_system_score_gemma":0.000022964447,"threshold_uncertainty_score":0.54271376},"labels":[],"label_agreement":null},{"id":"W2996369385","doi":"10.1017/aae.2019.40","title":"When Less Is More: On the Use of Historical Yield Data with Application to Rating Area Crop Insurance Contracts","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":13,"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 Guelph","funders":"","keywords":"Crop insurance; Cornerstone; Yield (engineering); Trimming; Sample (material); Economics; Actuarial science; Econometrics; Agricultural economics; Computer science; Geography; Agriculture","score_opus":0.04734678031551391,"score_gpt":0.20000186011346013,"score_spread":0.15265507979794624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996369385","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":[0.99188715,0.000060794082,0.000009305032,0.007500537,0.000060374903,0.00032477724,0.000041182913,0.000005888005,0.00010999946],"genre_scores_gemma":[0.9984382,0.00016765484,0.00028179956,0.00071006466,0.00018416639,0.0000047207986,0.000011971636,9.896789e-7,0.00020043943],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990116,0.00001459981,0.00040091504,0.0002534269,0.00014958633,0.0001698962],"domain_scores_gemma":[0.998759,0.0003782607,0.0005315549,0.00010762132,0.00010889817,0.000114670525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001537869,0.00016302458,0.00031545977,0.000008953284,0.0001270665,0.00008854012,0.00045741562,0.000072808536,0.000017469149],"category_scores_gemma":[0.000026358462,0.000039270446,0.000052085354,0.00012644933,0.0000403721,0.00030306447,0.00010035929,0.00020094044,0.000006461868],"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":[0.0014606303,0.000545462,0.08289188,0.000054143566,0.00025009998,0.0000018094682,0.0021221654,0.039661657,0.68277735,0.0030990567,0.045937713,0.14119807],"study_design_scores_gemma":[0.00020218825,0.00039056037,0.9798311,0.000073271185,0.00002279832,0.000044518427,0.0011729128,0.00005038331,0.0070563396,0.000046144793,0.010881173,0.00022863256],"about_ca_topic_score_codex":0.00010267579,"about_ca_topic_score_gemma":0.00012421212,"teacher_disagreement_score":0.8969392,"about_ca_system_score_codex":0.000056978595,"about_ca_system_score_gemma":0.000008041392,"threshold_uncertainty_score":0.16014023},"labels":[],"label_agreement":null},{"id":"W3015113428","doi":"10.1017/aae.2020.5","title":"Comprehensive Broiler Supply Chain Model with Vertical and Horizontal Linkages: Impact of US–China Trade War and USMCA","year":2020,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Global trade and economics","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":"Tariff; China; Agricultural economics; Supply chain; Trade war; Broiler; Economics; Production (economics); Value (mathematics); Agribusiness; International trade; Business; International economics; Agriculture; Geography; Microeconomics; Animal science; Biology","score_opus":0.025410946278098454,"score_gpt":0.18337745558115806,"score_spread":0.1579665093030596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015113428","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":[0.99637777,0.0012385171,0.00006206083,0.0014317259,0.00003717154,0.00014042215,0.00015442864,0.0000061553246,0.00055172737],"genre_scores_gemma":[0.9956279,0.0028861312,0.0010823131,0.00022680216,0.00014824021,0.0000017196124,0.000008639187,0.000013966388,0.000004317846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871385,0.0000051980287,0.0007357383,0.00028161157,0.000022395614,0.0002412115],"domain_scores_gemma":[0.99913967,0.000033635613,0.0004112062,0.00007046537,0.000016637596,0.00032837832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008567081,0.00024766722,0.00079528126,0.000057435118,0.00006897476,0.000070925926,0.00012209367,0.00012210605,0.000011736776],"category_scores_gemma":[0.0000058780574,0.00017792884,0.00013282176,0.000060352948,0.00012754131,0.00033041247,0.000059168186,0.00025817202,0.0000032251478],"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":[0.0036067194,0.000781221,0.4520743,0.000850253,0.0044281217,0.000018327099,0.015465851,0.346795,0.00768674,0.15799078,0.004692531,0.005610185],"study_design_scores_gemma":[0.002312033,0.0011911476,0.9860828,0.000021717942,0.00005764274,0.0002222078,0.000691267,0.0061105886,0.00030476664,0.0023052858,0.00030771748,0.00039285963],"about_ca_topic_score_codex":0.00003478398,"about_ca_topic_score_gemma":0.0000062333866,"teacher_disagreement_score":0.5340085,"about_ca_system_score_codex":0.00006168113,"about_ca_system_score_gemma":0.000021486328,"threshold_uncertainty_score":0.72557276},"labels":[],"label_agreement":null},{"id":"W3200917920","doi":"","title":"Canadian Wheat Board: Marketing in the New Millenium","year":2002,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Marketing; Business; Agricultural economics; Editorial board; Economics; Computer science; Library science","score_opus":0.008218613621301853,"score_gpt":0.14867524366655,"score_spread":0.14045663004524814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200917920","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":[0.9585111,0.00058925094,2.5756995e-8,0.036484696,0.00010780339,0.00009719511,0.0000067082874,0.00000456228,0.0041986643],"genre_scores_gemma":[0.9969643,0.0008381082,0.000047397913,0.00078074454,0.00097422395,0.0000011424773,0.000004405156,6.595987e-7,0.00038904027],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9991253,0.00003711432,0.0003543225,0.00013705739,0.00007659989,0.00026958706],"domain_scores_gemma":[0.99942833,0.00013078179,0.00017761026,0.000026525247,0.000022309192,0.00021441307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030113096,0.00014723228,0.00023319604,0.0000150591295,0.00015202127,0.00014564193,0.00027861536,0.000099986486,0.00022609234],"category_scores_gemma":[0.000012773539,0.000037713417,0.00008912248,0.00016926655,0.000017667788,0.00014077875,0.000023460507,0.00026123726,0.000015828246],"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":[0.00012368485,0.0002961711,0.0065543978,0.000033716697,0.00015106704,0.00001961909,0.004673517,0.00068502425,0.09093162,0.0030459797,0.62385726,0.26962796],"study_design_scores_gemma":[0.00029832445,0.00010631006,0.93211025,0.000022237988,0.00001739856,0.00031519163,0.0047676787,0.000002679626,0.0004725997,0.00016446131,0.061504085,0.00021877527],"about_ca_topic_score_codex":0.001729142,"about_ca_topic_score_gemma":0.049274415,"teacher_disagreement_score":0.9255559,"about_ca_system_score_codex":0.00006580146,"about_ca_system_score_gemma":0.000008286999,"threshold_uncertainty_score":0.96807384},"labels":[],"label_agreement":null},{"id":"W4213033855","doi":"10.1017/aae.2022.3","title":"Pricing Rice Quality Attributes and Returns to Quality Upgrading in Sub-Saharan Africa","year":2022,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":13,"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":"Consortium of International Agricultural Research Centers; Ministry of Water Resources; Government of Canada; World Bank Group","keywords":"Economics; Economic surplus; Quality (philosophy); Agricultural economics; Amylose; Welfare; Business; Econometrics; Food science","score_opus":0.03607850032959297,"score_gpt":0.22096179435636878,"score_spread":0.1848832940267758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213033855","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":[0.9886894,0.0033822637,0.000013974094,0.0020371727,0.0002528359,0.00025175003,0.0001262607,0.000011127237,0.0052351737],"genre_scores_gemma":[0.9960546,0.0027080206,0.00055974984,0.00033050735,0.00020278234,0.000020756714,0.000013282733,0.000012423896,0.000097891614],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9975431,0.000040629406,0.0015732739,0.00042753707,0.00004437593,0.00037107922],"domain_scores_gemma":[0.9981939,0.00023988349,0.0011679309,0.0001368464,0.000027953587,0.00023348544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020736253,0.00024833463,0.0008797574,0.00023960251,0.00025760726,0.00015652114,0.00028683312,0.00008896036,0.000028441735],"category_scores_gemma":[0.00007265303,0.00021494125,0.00014242162,0.00025887587,0.000035637608,0.00037620647,0.00026633436,0.0004749962,0.000010219905],"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":[0.0028188084,0.002228022,0.15705897,0.0009060361,0.0018841038,0.000019397812,0.028464954,0.03831306,0.045763247,0.6573336,0.050208163,0.015001649],"study_design_scores_gemma":[0.0010808584,0.00018206224,0.9725419,0.000012688389,0.000013156642,0.00007588196,0.0020967636,0.000008601633,0.0003729001,0.010663281,0.012449508,0.00050234696],"about_ca_topic_score_codex":0.000054194075,"about_ca_topic_score_gemma":0.00007864368,"teacher_disagreement_score":0.815483,"about_ca_system_score_codex":0.0003149979,"about_ca_system_score_gemma":0.000016777389,"threshold_uncertainty_score":0.87650496},"labels":[],"label_agreement":null},{"id":"W4241234887","doi":"10.1017/s1074070800002285","title":"AAE volume 40 issue 3 Cover and Front matter","year":2008,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Diverse Scientific and Economic Studies","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 British Columbia","funders":"","keywords":"Front cover; Cover (algebra); Volume (thermodynamics); Front (military); Action (physics); Content (measure theory); Computer science; Mathematics; Geography; Engineering; Meteorology; Physics; Mechanical engineering; Thermodynamics","score_opus":0.015554079724798399,"score_gpt":0.15951958791870893,"score_spread":0.14396550819391055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241234887","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":[0.89279974,0.0010256714,0.000015733134,0.0006437987,0.0007033313,0.00007211004,0.00006668879,0.0000050041044,0.10466791],"genre_scores_gemma":[0.8635166,0.0028673615,0.00064297486,0.00053646276,0.00045586983,0.0000030139022,0.000003769026,0.000010047878,0.1319639],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9989126,0.0000027899223,0.0006159066,0.0002473901,0.000016535916,0.00020479226],"domain_scores_gemma":[0.99921924,0.00001891562,0.00052924,0.00008330281,0.000023650946,0.00012568136],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00020036462,0.00015678041,0.0005087901,0.00008334872,0.00017876581,0.00009152112,0.00012437098,0.00006909388,0.004557126],"category_scores_gemma":[0.000005776411,0.00012366934,0.00009296045,0.000033174896,0.00014166432,0.00035071274,0.00009156116,0.00012332243,0.010315747],"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":[0.000084273845,0.00008582,0.056876104,0.00003351436,0.00032666666,0.0000022807874,0.0026976601,0.0013842178,0.000039237035,0.0072505176,0.93067724,0.0005424658],"study_design_scores_gemma":[0.00085169746,0.000047121015,0.6865824,0.0000069697676,0.000016030612,0.00020540773,0.0009636552,0.000028105836,0.000048840408,0.0009605748,0.309998,0.00029120294],"about_ca_topic_score_codex":0.000016395485,"about_ca_topic_score_gemma":0.000001244973,"teacher_disagreement_score":0.6297063,"about_ca_system_score_codex":0.0000596002,"about_ca_system_score_gemma":0.000007281425,"threshold_uncertainty_score":0.99635285},"labels":[],"label_agreement":null},{"id":"W4246567193","doi":"10.1017/s1074070800023531","title":"An Evaluation of Canadian and U.S. Policies of Log and Lumber Markets","year":2008,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Forest Management and Policy","field":"Environmental Science","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":"Stumpage; Subsidy; Trade war; Agricultural economics; Economics; Duty; Economy; International trade; Market economy; Political science; China","score_opus":0.015195193295515996,"score_gpt":0.20013469484611923,"score_spread":0.18493950155060324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246567193","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":[0.98787713,0.000043916527,6.934105e-8,0.0002358692,0.000014979062,0.000059820024,0.000003616207,5.9231365e-7,0.011764009],"genre_scores_gemma":[0.99899614,0.00069538306,0.00013480418,0.00004508654,0.00003417373,4.8866667e-7,0.000001447366,0.0000015508105,0.00009092939],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996403,0.000008590503,0.00017015735,0.000054161457,0.000053327152,0.000073486684],"domain_scores_gemma":[0.99970084,0.000008088693,0.00015551512,0.00003026551,0.000009958353,0.000095323165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018685797,0.000052519645,0.000113253824,0.000052873642,0.00004531708,0.000009226062,0.000044453725,0.000025578727,0.00009262705],"category_scores_gemma":[0.0000026052744,0.00003470653,0.000013800022,0.00004975061,0.000117022675,0.00015291927,0.000022409988,0.00003234778,0.000001470207],"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":[0.00015215966,0.00018318191,0.86822057,0.00008412375,0.00020455506,0.0000011523229,0.0093377745,0.027326744,0.015435734,0.007089302,0.028839152,0.04312558],"study_design_scores_gemma":[0.00025715947,0.000038667495,0.99818105,0.000002919691,0.000024514628,0.000037935224,0.00015278396,0.00008664969,0.0003051962,0.00023482222,0.0006291455,0.000049138733],"about_ca_topic_score_codex":0.005457732,"about_ca_topic_score_gemma":0.007841902,"teacher_disagreement_score":0.12996052,"about_ca_system_score_codex":0.000029084627,"about_ca_system_score_gemma":0.000008565702,"threshold_uncertainty_score":0.82504946},"labels":[],"label_agreement":null},{"id":"W4248686255","doi":"10.1017/s1074070800002996","title":"Selected Paper Abstracts Annual Meetings","year":2009,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Diverse Scientific and Economic Studies","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 Saskatchewan","funders":"","keywords":"Action (physics); Computer science; Content (measure theory); Operations research; Mathematics","score_opus":0.010352822574661615,"score_gpt":0.16255403191038167,"score_spread":0.15220120933572007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248686255","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":[0.8761551,0.00046533564,0.0000032551281,0.00089347915,0.00047018763,0.000065392705,0.000054305074,0.0000108379645,0.121882156],"genre_scores_gemma":[0.9937015,0.00060220255,0.0005756964,0.000447104,0.00032211113,9.460613e-7,0.0000039187007,0.000004466542,0.0043420536],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998655,0.0000026445628,0.0008433356,0.00023363356,0.000021101176,0.00024426077],"domain_scores_gemma":[0.998873,0.000024653045,0.0008260788,0.0000772709,0.000069715636,0.00012929329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040307018,0.00015913637,0.00047782183,0.00009479314,0.00012263567,0.00015121512,0.00017062512,0.00008645746,0.00031240765],"category_scores_gemma":[0.00002651312,0.00012571161,0.0001046007,0.000102281454,0.00005069387,0.000616729,0.00003295395,0.00016955241,0.00044812946],"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":[0.00027681352,0.00054283236,0.003956976,0.000045583212,0.0008146677,0.0000037444934,0.0071716346,0.013979596,0.0018343513,0.50040776,0.4605658,0.010400236],"study_design_scores_gemma":[0.0010815964,0.0001439178,0.9120929,0.000011667363,0.000022137752,0.00008304487,0.0028188706,0.000005306342,0.00039091078,0.009322845,0.07363486,0.0003919312],"about_ca_topic_score_codex":0.0000073973238,"about_ca_topic_score_gemma":0.000002898212,"teacher_disagreement_score":0.90813595,"about_ca_system_score_codex":0.00006661208,"about_ca_system_score_gemma":0.0000116614065,"threshold_uncertainty_score":0.5759947},"labels":[],"label_agreement":null},{"id":"W4248748933","doi":"10.1017/aae.2018.11","title":"AAE volume 50 issue 2 Cover and Front matter","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Diverse Scientific and Economic Studies","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 Saskatchewan","funders":"","keywords":"Front cover; Cover (algebra); Volume (thermodynamics); Front (military); Action (physics); Content (measure theory); Agricultural economics; Environmental science; Agricultural engineering; Agricultural science; Computer science; Mathematics; Economics; Engineering; Geography; Physics; Meteorology; Mechanical engineering; Thermodynamics","score_opus":0.012550290540750823,"score_gpt":0.16754988734550627,"score_spread":0.15499959680475545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248748933","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":[0.84052247,0.0006434222,0.000027840488,0.0007847426,0.0010621512,0.000071784314,0.00007018764,0.0000049180694,0.1568125],"genre_scores_gemma":[0.87680537,0.0009781003,0.00097553205,0.0007828233,0.0011462448,0.0000028381999,0.0000033666563,0.000011365482,0.119294375],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989277,0.000002793488,0.00058990816,0.0002550475,0.000014853111,0.00020966333],"domain_scores_gemma":[0.9992086,0.000016313523,0.00053483516,0.0000880791,0.000032624233,0.000119491095],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002717576,0.00015091481,0.00045895902,0.000082201805,0.00015112071,0.00017401684,0.00013300552,0.00006925996,0.007973027],"category_scores_gemma":[0.000006061132,0.000117539195,0.000077523284,0.00003184883,0.00018504402,0.00033547782,0.00010737388,0.00010234389,0.01795249],"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":[0.000077063036,0.000065200584,0.027228436,0.000030438285,0.0003248404,4.3774276e-7,0.002159101,0.00022708092,0.000071971524,0.014617774,0.95396316,0.0012344712],"study_design_scores_gemma":[0.0007085591,0.00008595763,0.41894117,0.000008893333,0.000020228334,0.000054890013,0.001209703,0.00002902016,0.000087795226,0.0021154787,0.5764599,0.00027839592],"about_ca_topic_score_codex":0.000017234506,"about_ca_topic_score_gemma":0.0000030677502,"teacher_disagreement_score":0.39171273,"about_ca_system_score_codex":0.000056232828,"about_ca_system_score_gemma":0.0000057299035,"threshold_uncertainty_score":0.9929338},"labels":[],"label_agreement":null},{"id":"W4249108718","doi":"10.1017/s1074070800023683","title":"ICE volume 40 issue 2 Cover and Front matter","year":2008,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Diverse Scientific and Economic Studies","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 British Columbia","funders":"","keywords":"Front cover; Cover (algebra); Volume (thermodynamics); Front (military); Action (physics); Content (measure theory); Environmental science; Computer science; Geography; Meteorology; Mathematics; Engineering; Physics; Mechanical engineering; Thermodynamics","score_opus":0.015356964982543988,"score_gpt":0.16073399368664099,"score_spread":0.145377028704097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249108718","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":[0.88168573,0.0010445942,0.000015754027,0.00064958376,0.00068360707,0.00007066122,0.00006429735,0.0000048952716,0.11578088],"genre_scores_gemma":[0.85461986,0.0031133278,0.000697293,0.000616718,0.00048792458,0.0000031426196,0.000003804514,0.000010468084,0.14044748],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9989155,0.00000290414,0.00061453925,0.00024776344,0.00001666739,0.00020265381],"domain_scores_gemma":[0.99921024,0.000020873162,0.0005368355,0.00008309926,0.00002459846,0.00012434986],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00020452966,0.00015568026,0.00049880194,0.000079168094,0.0001801703,0.00009155899,0.0001261454,0.00006816952,0.0042196247],"category_scores_gemma":[0.0000061379196,0.00012314858,0.00008904195,0.00003348233,0.00013700378,0.00036021633,0.00009141226,0.00012451602,0.01005936],"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":[0.00009103004,0.00008897156,0.04795073,0.00003625707,0.00033358063,0.0000023362647,0.0028642898,0.0015216583,0.000040741546,0.0073285564,0.93921226,0.0005295926],"study_design_scores_gemma":[0.00085298135,0.00004658843,0.64059144,0.0000070729393,0.000017340531,0.00021680936,0.001039025,0.000028878647,0.000051467076,0.00083419256,0.35601842,0.00029576823],"about_ca_topic_score_codex":0.000018176146,"about_ca_topic_score_gemma":0.0000012724523,"teacher_disagreement_score":0.59264076,"about_ca_system_score_codex":0.000059380287,"about_ca_system_score_gemma":0.0000072631897,"threshold_uncertainty_score":0.99669063},"labels":[],"label_agreement":null},{"id":"W4303980205","doi":"10.1017/aae.2022.32","title":"Benefits of Preconditioning Cattle under Stochastic Feedlot Performance","year":2022,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","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":"University of Calgary","funders":"","keywords":"Feedlot; Feeder cattle; Purchasing; Fed cattle; Business; Value (mathematics); Economics; Agricultural science; Animal science; Mathematics; Operations management; Statistics; Biology","score_opus":0.008271175954829249,"score_gpt":0.17879815784646413,"score_spread":0.1705269818916349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4303980205","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":[0.99880487,0.00033924505,0.00015586894,0.00005743222,0.00013181976,0.00005415701,0.000018585482,0.0000010114592,0.00043698866],"genre_scores_gemma":[0.99843854,0.000048523536,0.0011403657,0.000050262784,0.00017033042,0.0000041811113,0.00001849587,0.000004421886,0.00012490558],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99956614,0.000006859485,0.00021944051,0.000085599146,0.000038687234,0.00008326404],"domain_scores_gemma":[0.9996438,0.000008456164,0.00023163573,0.000046828587,0.000028040575,0.000041231735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007112405,0.00007120362,0.00012103767,0.000017667884,0.00009587453,0.000008064068,0.00009842467,0.000028576464,0.000022632332],"category_scores_gemma":[0.0000018216142,0.000054264194,0.000040330964,0.000022804863,0.00003198475,0.0000043252417,0.00006776506,0.00008672593,5.010701e-7],"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":[0.000040222967,0.000025792719,0.00020831384,0.00000674769,0.00003198101,2.2521666e-10,0.00007977112,0.99505585,0.000981097,0.0022360247,0.0001903645,0.0011438398],"study_design_scores_gemma":[0.0003475796,0.00036881742,0.9913467,0.000003913913,0.000020362182,0.00009124003,0.00062296004,4.9816686e-7,0.0067401007,0.0003575894,0.00001876154,0.00008146555],"about_ca_topic_score_codex":7.830449e-7,"about_ca_topic_score_gemma":0.0000013118276,"teacher_disagreement_score":0.9950553,"about_ca_system_score_codex":0.000011413565,"about_ca_system_score_gemma":0.000024592995,"threshold_uncertainty_score":0.22128296},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"split"},{"id":"W4311960855","doi":"10.1017/aae.2022.37","title":"The Impact of Fundamentals on Volatility Measures of Agricultural Substitutes","year":2022,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Market Dynamics and Volatility","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":"University of Manitoba","funders":"","keywords":"Contango; Economics; Volatility (finance); Futures contract; Normal backwardation; Commodity market; Commodity; Convenience yield; Spillover effect; Financial economics; Agriculture; Commodity swap; Monetary economics; Spot contract; Macroeconomics; Finance","score_opus":0.026253316628924522,"score_gpt":0.21160408012523801,"score_spread":0.1853507634963135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311960855","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":[0.9948657,0.0007042546,0.0000068818117,0.0002203084,0.00019646336,0.00016615579,0.00027115023,0.0000029138437,0.0035661424],"genre_scores_gemma":[0.99937993,0.00036589298,0.000051649986,0.000012906613,0.000070929396,0.000005656717,0.000010097918,0.0000052920177,0.000097612996],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984437,0.00002451737,0.0011160416,0.00017477812,0.0000571585,0.00018378468],"domain_scores_gemma":[0.99790037,0.0001585792,0.0016487128,0.00014509672,0.00006503165,0.00008220825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009957602,0.00016766234,0.00057187886,0.00006600697,0.0002507333,0.000051694136,0.00029413856,0.000046309764,0.00009231143],"category_scores_gemma":[0.000033406435,0.00009473711,0.0003453664,0.00012628052,0.00010160179,0.00013485408,0.00010408623,0.0002585248,8.40152e-7],"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":[0.0017562038,0.001266699,0.7299743,0.00012503793,0.002080351,5.789122e-7,0.0020985142,0.05956809,0.004598009,0.1878359,0.0038635957,0.0068327123],"study_design_scores_gemma":[0.00050294405,0.00031265715,0.990878,0.000005155473,0.000012650204,0.000018887438,0.0006979031,0.00027032403,0.0002941861,0.0065579815,0.00031337314,0.00013592455],"about_ca_topic_score_codex":0.000082751896,"about_ca_topic_score_gemma":0.000020824622,"teacher_disagreement_score":0.26090372,"about_ca_system_score_codex":0.00020424578,"about_ca_system_score_gemma":0.000025209874,"threshold_uncertainty_score":0.38632673},"labels":[],"label_agreement":null},{"id":"W4396805833","doi":"10.1017/aae.2024.12","title":"Economic Analysis of Calving Assistance on Western Canadian Cow-Calf Operations","year":2024,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Animal health and immunology","field":"Veterinary","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; University of Calgary","funders":"","keywords":"Ice calving; Cow-calf; Economic analysis; Animal science; Agricultural science; Agricultural economics; Economics; Biology; Lactation; Pregnancy; Herd","score_opus":0.024900571671171132,"score_gpt":0.2724155213652974,"score_spread":0.24751494969412627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396805833","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":[0.99661815,0.00041601874,0.00000833364,0.0008738751,0.00021105105,0.000055712135,0.00007488495,0.0000049776263,0.0017369719],"genre_scores_gemma":[0.9990592,0.00034895024,0.00009404308,0.00019219301,0.00014724807,0.0000021177743,0.000013702865,0.0000051536235,0.0001373741],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99922216,0.000011478449,0.00045860407,0.00012486856,0.000021890302,0.0001610193],"domain_scores_gemma":[0.9996051,0.000055181965,0.00011534832,0.00005749488,0.00002345354,0.00014341089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010827847,0.00010048919,0.0003364514,0.00020095,0.00008543332,0.000063705185,0.00009303819,0.00007175708,0.00007624116],"category_scores_gemma":[0.0000027623782,0.00006771189,0.0001144354,0.00008788595,0.000033304543,0.00013792515,0.000014865027,0.00017498674,0.000028362101],"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":[0.005777746,0.0005664471,0.08852588,0.0010482603,0.023464646,0.00012861064,0.011701254,0.37309253,0.033788893,0.38875484,0.014995785,0.058155116],"study_design_scores_gemma":[0.00018073524,0.0004931256,0.9945931,0.000037159814,0.00024308331,0.00011317646,0.00055819727,0.00059456256,0.00009105714,0.000048674196,0.0029228195,0.00012435045],"about_ca_topic_score_codex":0.0026837713,"about_ca_topic_score_gemma":0.035993177,"teacher_disagreement_score":0.9060672,"about_ca_system_score_codex":0.00024783556,"about_ca_system_score_gemma":0.0001205777,"threshold_uncertainty_score":0.9815974},"labels":[],"label_agreement":null},{"id":"W4396870692","doi":"10.1017/aae.2024.13","title":"Grazing Management Plan Adoption and Objective Prioritization in U.S. Cow-Calf and Stocker Operations","year":2024,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economic and Environmental Valuation","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 Calgary","funders":"","keywords":"Prioritization; Grazing; Plan (archaeology); Cow-calf; Business; Agricultural science; Operations management; Geography; Process management; Animal science; Engineering; Environmental science; Biology; Agronomy; Archaeology","score_opus":0.027620667832137128,"score_gpt":0.1827601746497622,"score_spread":0.1551395068176251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396870692","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":[0.99600226,0.0015565341,0.0002932633,0.00035791993,0.0001234809,0.00015757758,0.000015354422,0.000004922534,0.0014887106],"genre_scores_gemma":[0.9932947,0.005598656,0.00086365687,0.000044833916,0.00008298203,0.000007716558,0.000010265268,0.000006077146,0.00009107231],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993403,0.0000041224093,0.00037988927,0.0001762676,0.00001113134,0.0000882827],"domain_scores_gemma":[0.9997969,0.000015247029,0.000106940875,0.000029755616,0.0000043104446,0.00004680529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020879747,0.000093037284,0.00019148961,0.00011602345,0.00006306157,0.0001460372,0.000029864055,0.000051645686,0.000010464069],"category_scores_gemma":[0.0000018146538,0.00008118679,0.00002372685,0.00004489069,0.000030077303,0.00039162982,0.000032610278,0.00010156925,0.000009896051],"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":[0.00007171642,0.00012167133,0.14166355,0.00027204005,0.00031851028,0.0000028953286,0.0036597562,0.050119396,0.00055288215,0.7696444,0.0002895795,0.03328365],"study_design_scores_gemma":[0.00044323484,0.000040969335,0.99172467,0.00003497149,0.0000133396015,0.0000354165,0.0008471974,0.0012869942,0.000033551143,0.0051609324,0.00025365676,0.00012507208],"about_ca_topic_score_codex":0.000011935188,"about_ca_topic_score_gemma":0.00004367825,"teacher_disagreement_score":0.8500611,"about_ca_system_score_codex":0.000121424375,"about_ca_system_score_gemma":0.0000033684014,"threshold_uncertainty_score":0.33107013},"labels":[],"label_agreement":null},{"id":"W4402647085","doi":"10.1017/aae.2024.26","title":"Controlled Grazing as a Pathway for Enhancing Investment in Multipurpose Trees and Welfare","year":2024,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Forest Management and Policy","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":"Agriculture and Agri-Food Canada","funders":"","keywords":"Grazing; Welfare; Investment (military); Economics; Agricultural economics; Business; Natural resource economics; Agroforestry; Public economics; Environmental science; Agronomy; Biology; Market economy; Political science","score_opus":0.005859321382177389,"score_gpt":0.1913739007688186,"score_spread":0.1855145793866412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402647085","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":[0.9945049,0.0002264514,0.000004129206,0.0010751473,0.00007253317,0.00027423687,0.0000023010014,0.000005298246,0.0038349878],"genre_scores_gemma":[0.99880904,0.00019695495,0.0003530031,0.00017405042,0.00009746217,0.000016425402,0.0000017496659,0.000004302125,0.00034698308],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99944496,0.000005433477,0.00027627597,0.00011359672,0.000033611446,0.00012609482],"domain_scores_gemma":[0.9997641,0.00004637423,0.00009553333,0.000025010359,0.0000023451807,0.00006666307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017921826,0.00009807555,0.0002034989,0.0000402991,0.000058844827,0.000102536906,0.000053968008,0.000031367555,0.00003780606],"category_scores_gemma":[0.0000062825147,0.000057127756,0.00005385988,0.000042766587,0.00003277625,0.00018922443,0.000050249855,0.00007207392,0.00001156732],"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":[0.0030460043,0.000629739,0.020509863,0.0008300785,0.0011641309,0.000038172602,0.02249318,0.13270366,0.1133085,0.3701644,0.0142487055,0.32086357],"study_design_scores_gemma":[0.02076383,0.001174687,0.83163655,0.00030074464,0.0002925582,0.00025667317,0.006362895,0.005006657,0.008000382,0.021676349,0.103155926,0.0013727654],"about_ca_topic_score_codex":0.000029730643,"about_ca_topic_score_gemma":0.00041804562,"teacher_disagreement_score":0.81112665,"about_ca_system_score_codex":0.00006869701,"about_ca_system_score_gemma":0.0000033757194,"threshold_uncertainty_score":0.23296024},"labels":[],"label_agreement":null},{"id":"W4406478084","doi":"10.1017/aae.2024.38","title":"Weekly Options on Grain Futures","year":2025,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"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":"Norris Cotton Cancer Center; Egg Farmers of Canada","keywords":"Futures contract; Economics; Agricultural economics; Financial economics","score_opus":0.025682750523354145,"score_gpt":0.19984619947328322,"score_spread":0.17416344894992908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406478084","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":[0.9648288,0.00074968464,0.00006409315,0.0043287515,0.00057699013,0.00009473739,0.000052082232,0.000008581503,0.02929627],"genre_scores_gemma":[0.99512553,0.0010629882,0.0004853801,0.0010977407,0.00040047945,0.000003665508,0.000006426716,0.000006371697,0.0018114137],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988234,0.0000056376143,0.00075346103,0.00019389288,0.000010888887,0.00021273056],"domain_scores_gemma":[0.9992073,0.00004762169,0.00051419775,0.00011417687,0.000009861261,0.00010680496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002898967,0.00016607146,0.0004642943,0.00020525274,0.0001544559,0.00010872388,0.00017917533,0.00010006757,0.00008319423],"category_scores_gemma":[0.000015552263,0.00013052001,0.00015832263,0.00007520142,0.000045156146,0.00020588558,0.00003486309,0.00021973434,0.00008981852],"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":[0.0000948024,0.00010960345,0.0017939709,0.000025332734,0.00023557559,3.5747473e-7,0.00033697125,0.04228578,0.000082077015,0.92117965,0.031025203,0.0028306714],"study_design_scores_gemma":[0.0018842852,0.00024715456,0.8158301,0.000039852373,0.000037495352,0.00006730468,0.0010851143,0.0002034495,0.0005411419,0.1343426,0.045223404,0.00049811095],"about_ca_topic_score_codex":0.000019511199,"about_ca_topic_score_gemma":0.000009115288,"teacher_disagreement_score":0.81403613,"about_ca_system_score_codex":0.00009356393,"about_ca_system_score_gemma":0.000010497134,"threshold_uncertainty_score":0.53224516},"labels":[],"label_agreement":null},{"id":"W4406995874","doi":"10.1017/aae.2024.39","title":"Beyond Borders: An Empirical Analysis of the “Fresh From Florida” State Marketing Program","year":2025,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"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":"State (computer science); Marketing; Business; Agricultural economics; Regional science; Economics; Geography; Computer science","score_opus":0.007868118777787515,"score_gpt":0.21973199410227537,"score_spread":0.21186387532448786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406995874","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":[0.9953329,0.00019670706,4.0162394e-7,0.003439706,0.00017132219,0.00015618662,0.000082507,0.000013229895,0.0006070388],"genre_scores_gemma":[0.99896115,0.00018281037,0.00020729551,0.0002512534,0.00027206584,0.0000030535703,0.00003803136,6.9070103e-7,0.000083677565],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99887806,0.00005729401,0.00055443886,0.00021481069,0.000104019884,0.00019134587],"domain_scores_gemma":[0.99908876,0.00017617147,0.00048211278,0.000056962537,0.000095432406,0.000100541845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026258855,0.00017461686,0.00045472916,0.000024083249,0.00017198626,0.00012336887,0.00036069728,0.00010528355,0.000059209277],"category_scores_gemma":[0.000019112778,0.000046847006,0.00026623826,0.0006953769,0.00006932336,0.00016148837,0.00011113221,0.00022606103,5.89439e-7],"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":[0.0007391004,0.0012667202,0.14288278,0.00005355146,0.00551375,0.0000017447915,0.0016567579,0.005100951,0.31231394,0.0011361043,0.019240879,0.51009375],"study_design_scores_gemma":[0.00018906161,0.00010175308,0.9901066,0.000017683817,0.00038829353,0.000003728491,0.001980519,0.000022046348,0.003984089,0.0005051171,0.0025690792,0.00013206917],"about_ca_topic_score_codex":0.000044069766,"about_ca_topic_score_gemma":0.0009102031,"teacher_disagreement_score":0.84722376,"about_ca_system_score_codex":0.000031253207,"about_ca_system_score_gemma":0.000014925892,"threshold_uncertainty_score":0.19103654},"labels":[],"label_agreement":null},{"id":"W4409624433","doi":"10.1017/aae.2025.10","title":"The U.S. Elasticity of Import Demand for Potash","year":2025,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"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":"Oregon State University","keywords":"Potash; Economics; Elasticity (physics); Agricultural economics; Price elasticity of demand; Microeconomics; Chemistry; Potassium; Thermodynamics; Physics","score_opus":0.021357727842620133,"score_gpt":0.1976008925253918,"score_spread":0.17624316468277168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409624433","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":[0.99292004,0.0011363293,0.00038366255,0.0012571482,0.00033332015,0.000158278,0.000069445596,0.0000026599016,0.003739116],"genre_scores_gemma":[0.9976618,0.0012225353,0.0003896851,0.00016226983,0.00017390074,0.0000051941147,0.0000032893531,0.000004541556,0.00037675683],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99868804,0.000003486944,0.0009771636,0.00013056859,0.000009103563,0.00019161374],"domain_scores_gemma":[0.99874014,0.00017787868,0.000903079,0.00009396144,0.000019951007,0.00006496595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053936854,0.00012048609,0.000457811,0.00007098665,0.00015285134,0.000063458385,0.00018926007,0.00007143835,0.000010340592],"category_scores_gemma":[0.000037267517,0.00007806007,0.00016828829,0.000045933448,0.00007403836,0.00014063754,0.00003829442,0.00010676853,0.0000043623004],"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":[0.00050987554,0.00014633998,0.02759263,0.00016841025,0.0009542371,1.5063249e-7,0.0004926827,0.053554345,0.0003445199,0.8884197,0.02141475,0.006402356],"study_design_scores_gemma":[0.0015848695,0.00015852756,0.8759986,0.00002089218,0.00005489546,0.000029451869,0.00037417602,0.0005596787,0.0015347622,0.10021862,0.019226685,0.00023883989],"about_ca_topic_score_codex":0.000013086288,"about_ca_topic_score_gemma":0.000010778852,"teacher_disagreement_score":0.84840596,"about_ca_system_score_codex":0.000048946982,"about_ca_system_score_gemma":0.000016088736,"threshold_uncertainty_score":0.3183197},"labels":[],"label_agreement":null},{"id":"W4414667871","doi":"10.1017/aae.2025.10021","title":"Factors Affecting Enrollment in General Conservation Reserve Program: A Duration Analysis of Producers in Southern United States","year":2025,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economic and Environmental Valuation","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":"Department of Environment and Conservation","funders":"University of Cambridge","keywords":"Conservation Reserve Program; Duration (music); Renting; Agriculture; Ranking (information retrieval); Conservation agriculture","score_opus":0.04908177023382297,"score_gpt":0.2206689685069236,"score_spread":0.17158719827310065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414667871","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":[0.998919,0.00010355199,0.000020475867,0.00039637584,0.00005631722,0.00024032466,0.000025239415,0.000003020221,0.00023568723],"genre_scores_gemma":[0.9992232,0.00021579878,0.00030840584,0.000049741808,0.0000172923,0.000007632836,0.00010861317,0.0000035870237,0.00006576419],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986759,0.000014575749,0.0010101895,0.00016748143,0.000016079835,0.000115774514],"domain_scores_gemma":[0.9990264,0.000048366786,0.00082335906,0.00005952046,0.000015131938,0.000027217447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054343557,0.00010805936,0.0004465571,0.0005926186,0.00002951909,0.000037115376,0.0000713185,0.00006356248,0.00001368114],"category_scores_gemma":[0.000017780716,0.00008903794,0.0000869174,0.00044924073,0.000027813934,0.00017664935,0.000025234142,0.00010572639,0.0000010890691],"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":[0.000030500902,0.000100114514,0.83657056,0.000017487075,0.00021077311,4.5028358e-8,0.0019020723,0.1582994,0.00013287403,0.002410755,0.000015019235,0.00031041002],"study_design_scores_gemma":[0.0006347305,0.000046428697,0.9883167,0.00001386838,0.000041969062,2.918351e-7,0.005317042,0.0040582246,0.0004369815,0.0010102761,0.000028453891,0.0000950279],"about_ca_topic_score_codex":0.0005097142,"about_ca_topic_score_gemma":0.0007857733,"teacher_disagreement_score":0.15424117,"about_ca_system_score_codex":0.00025870482,"about_ca_system_score_gemma":0.0000095510995,"threshold_uncertainty_score":0.3630862},"labels":[],"label_agreement":null},{"id":"W4414709098","doi":"10.1017/aae.2025.10023","title":"The Repayment Structure of Agricultural Loans under a Full Repayment Constraint","year":2025,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Microfinance and Financial Inclusion","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":"Western University","funders":"","keywords":"Constraint (computer-aided design); Asset (computer security); Loan; Constant (computer programming); Agriculture; Budget constraint","score_opus":0.008415207511960421,"score_gpt":0.18763412518102326,"score_spread":0.17921891766906284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414709098","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":[0.9899358,0.0026894808,0.00015905549,0.0023943258,0.00055896887,0.00021342907,0.00007478456,0.000005929099,0.0039681913],"genre_scores_gemma":[0.99568635,0.0030047782,0.00042405046,0.00021553136,0.00017171823,0.0000031889947,0.000008158317,0.000005591835,0.00048064714],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998177,0.00000866762,0.0012855829,0.00024379685,0.000034866793,0.00025006788],"domain_scores_gemma":[0.99835384,0.00006181298,0.0012699909,0.00016215985,0.00008404706,0.000068156725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030754152,0.00020832766,0.00057514576,0.00007874336,0.00027057304,0.000093564144,0.0002725658,0.0001366895,0.000024449007],"category_scores_gemma":[0.000016904387,0.000120433964,0.00020844484,0.00015703321,0.0001463767,0.00014806943,0.00013809225,0.00026043394,0.00000554746],"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":[0.0001521079,0.000103687315,0.0013936318,0.0000558171,0.00029552798,4.4850054e-7,0.0005835726,0.0032086885,0.020274458,0.9650001,0.005464021,0.0034679398],"study_design_scores_gemma":[0.0019004464,0.00029455,0.8732011,0.000115545896,0.00007298262,0.00014642806,0.004168325,0.000010764219,0.019481555,0.079140544,0.020954581,0.0005131907],"about_ca_topic_score_codex":0.000021185846,"about_ca_topic_score_gemma":0.0000575965,"teacher_disagreement_score":0.88585955,"about_ca_system_score_codex":0.00017702648,"about_ca_system_score_gemma":0.000038883256,"threshold_uncertainty_score":0.49111545},"labels":[],"label_agreement":null}]}