{"meta":{"query_hash":"936de37dc30d","filters":{"venue":"American Journal of Agricultural Economics"},"cohort_total":135,"direct_labels_cover":0,"predictions_cover":135,"exported":135,"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/936de37dc30d","api":"https://metacan.xera.ac/api/v1/cohort?venue=American+Journal+of+Agricultural+Economics"},"results":[{"id":"W1497178049","doi":"10.1111/j.1467-8276.2008.01192_4.x","title":"The Cost of Fisheries Management","year":2008,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Citation; Library science; Fishery; Computer science; Biology","score_opus":0.00938584553425116,"score_gpt":0.19353633927033123,"score_spread":0.18415049373608008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1497178049","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":[0.91741407,0.000007041757,0.0000119692195,0.0010063456,0.000065000415,0.00006499876,0.0000013366956,0.0000019040077,0.08142735],"genre_scores_gemma":[0.9942054,0.0026649868,0.00085428834,0.000083317405,0.000051138773,0.0000026348025,8.133726e-7,0.0000041034073,0.0021332903],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99932826,0.000026965414,0.0003050582,0.000068601636,0.00011407904,0.00015705281],"domain_scores_gemma":[0.99940807,0.000057470697,0.00033793572,0.00010186418,0.000020606796,0.00007407283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014062044,0.00006941818,0.00016097129,0.000012037189,0.00013106017,0.000018856526,0.00034473123,0.00001009513,0.0003734485],"category_scores_gemma":[0.000011461074,0.00003582585,0.00008796411,0.00012630777,0.00070986245,0.00019113699,0.0001454552,0.00010239024,0.0000161129],"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":[0.00019998406,0.000098457494,0.337969,0.0000061534042,0.0002099382,0.000027582983,0.000825984,0.0014921007,0.00021217523,0.000545839,0.036460508,0.6219523],"study_design_scores_gemma":[0.00018304762,0.0003433549,0.7544745,0.0000021060014,0.000009206147,0.00021420776,0.0027206966,0.000016853357,0.00019203607,0.000052658084,0.24170072,0.00009056573],"about_ca_topic_score_codex":0.00014070544,"about_ca_topic_score_gemma":0.000055769422,"teacher_disagreement_score":0.6218617,"about_ca_system_score_codex":0.00008947075,"about_ca_system_score_gemma":0.000008030694,"threshold_uncertainty_score":0.40889993},"labels":[],"label_agreement":null},{"id":"W1531948976","doi":"10.1093/ajae/aat102","title":"An Efficient Nonmarket Institution under Imperfect Markets: Labor Sharing for Tropical Forest Clearing","year":2014,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Nonmarket forces; Economics; Productivity; Clearing; Labour economics; Institution; Personnel economics; Labor demand; Imperfect; Secondary labor market; Factor market; Labor relations; Microeconomics; Wage; Economic growth","score_opus":0.005515736961033056,"score_gpt":0.18666497707329635,"score_spread":0.1811492401122633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1531948976","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":[0.9966286,0.000004687418,0.0018537831,0.0006817271,0.0001575229,0.00012171369,0.000003975268,0.000010137875,0.0005378558],"genre_scores_gemma":[0.99767274,0.00003320989,0.0017446822,0.00033312163,0.00015711495,0.0000026209536,0.000004042106,0.000004947226,0.000047539506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992151,0.000040254963,0.00027560856,0.00018909469,0.00008590834,0.00019398084],"domain_scores_gemma":[0.9993539,0.000055861252,0.00032076193,0.00011269735,0.000025143054,0.00013167517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024639798,0.00011469058,0.00019279026,0.000038523685,0.00020367192,0.000080149875,0.00029517946,0.000026428857,0.00006228284],"category_scores_gemma":[0.00002682812,0.000080020196,0.00011481933,0.00010052732,0.00016992194,0.00021192146,0.000108182605,0.000091076254,0.00001332472],"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":[0.00015103917,0.000087408924,0.74134976,0.0000062280333,0.00004619299,5.367011e-7,0.00025625117,0.2426388,0.00028060682,0.0002525215,0.00018899559,0.014741676],"study_design_scores_gemma":[0.00043081254,0.0003821047,0.9802657,0.000009094345,0.000036331152,0.000014900908,0.0012345732,0.013181588,0.000033179516,0.000040395287,0.0042351554,0.00013616409],"about_ca_topic_score_codex":0.00010389569,"about_ca_topic_score_gemma":0.00015329116,"teacher_disagreement_score":0.23891596,"about_ca_system_score_codex":0.00031097417,"about_ca_system_score_gemma":0.000007927663,"threshold_uncertainty_score":0.3263129},"labels":[],"label_agreement":null},{"id":"W1562403057","doi":"10.1111/0002-9092.00276","title":"Organizational Commitment in a Mixed Oligopoly: Agricultural Cooperatives and Investor‐Owned Firms","year":2001,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Cooperative Studies and Economics","field":"Business, Management and Accounting","cited_by":185,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Session (web analytics); Principal (computer security); Order (exchange); Agriculture; Management; Library science; Oligopoly; Political science; Sociology; Economics; Business; Law; History; Computer science; Finance; Archaeology; Advertising","score_opus":0.010025781922976866,"score_gpt":0.18827120071382955,"score_spread":0.17824541879085268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1562403057","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":[0.99280435,0.00016724794,0.0000052384485,0.0046561933,0.0002983571,0.00012623968,0.0000036964605,0.000011077783,0.0019275927],"genre_scores_gemma":[0.997095,0.00062593725,0.00028166035,0.0011001035,0.00075977034,0.0000040467926,0.0000187621,0.0000115337025,0.000103220875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989183,0.000016954828,0.0005705902,0.00019122864,0.00005986125,0.00024305152],"domain_scores_gemma":[0.9989823,0.000052558018,0.0006039494,0.0000664958,0.00025484516,0.000039814688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001457954,0.00022678163,0.00048904354,0.00012750959,0.00017769709,0.0002493891,0.00018352279,0.00003035075,0.00006885708],"category_scores_gemma":[0.000057425343,0.00014440293,0.000077537254,0.00038094737,0.00019023992,0.0010766777,0.00013720579,0.00016440818,0.000023457764],"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":[0.00038286162,0.0007019265,0.87273186,0.000060586015,0.0009714794,0.000047021305,0.0040573557,0.013426756,0.002419429,0.07036837,0.014042217,0.020790115],"study_design_scores_gemma":[0.0010812066,0.00014188806,0.97111654,0.00003244549,0.000038602637,0.00010163238,0.01484838,0.0002397387,0.000038550614,0.00027375462,0.011721018,0.0003662477],"about_ca_topic_score_codex":0.00020739494,"about_ca_topic_score_gemma":0.0011276643,"teacher_disagreement_score":0.098384656,"about_ca_system_score_codex":0.00015957214,"about_ca_system_score_gemma":0.000027050351,"threshold_uncertainty_score":0.58885807},"labels":[],"label_agreement":null},{"id":"W1842930622","doi":"10.1093/ajae/aav018","title":"Competitive Pressure and Technology Adoption: Evidence from a Policy Reform in Western Canada","year":2015,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Nutrasource; University of Saskatchewan","funders":"Marcus och Amalia Wallenbergs minnesfond; Vetenskapsrådet; Jan Wallanders och Tom Hedelius Stiftelse samt Tore Browaldhs Stiftelse","keywords":"Subsidy; Exploit; Production (economics); Agricultural economics; Census; Business; Land Values; Economics; Natural resource economics; Land use; Market economy; Microeconomics","score_opus":0.02856848331604444,"score_gpt":0.2032149098868649,"score_spread":0.17464642657082044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1842930622","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":[0.9846555,0.002792554,0.000006478455,0.010108047,0.00025486865,0.00007478091,0.00012121907,0.0000063680277,0.001980183],"genre_scores_gemma":[0.9969485,0.001619098,0.00073715195,0.00034420617,0.00025709218,0.0000027028418,0.000005189489,0.000009131649,0.00007693267],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986124,0.000015306934,0.0008377477,0.00024543802,0.000025239095,0.00026385701],"domain_scores_gemma":[0.9984586,0.0000485842,0.0010433594,0.00014463192,0.00008721227,0.00021757334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002354558,0.00017169454,0.0006693159,0.00020965659,0.00003059942,0.00006403952,0.00032079648,0.00006846537,0.000008910242],"category_scores_gemma":[0.0000902837,0.00015339811,0.000053984848,0.0002901554,0.00014722702,0.00059414667,0.000081365266,0.0002523068,0.00001586406],"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":[0.00015716876,0.00008162437,0.88234395,0.000014644949,0.00037892265,0.000030488918,0.001458717,0.0038510307,0.00001672731,0.107009076,0.00074464444,0.003912985],"study_design_scores_gemma":[0.0013297979,0.0006570447,0.931424,0.00013009488,0.000029808582,0.00033537563,0.013878528,0.00015602142,0.000057853766,0.0069672335,0.044475894,0.0005583528],"about_ca_topic_score_codex":0.30929527,"about_ca_topic_score_gemma":0.24917623,"teacher_disagreement_score":0.100041844,"about_ca_system_score_codex":0.001073541,"about_ca_system_score_gemma":0.00029524328,"threshold_uncertainty_score":0.76452434},"labels":[],"label_agreement":null},{"id":"W1915677104","doi":"10.1093/ajae/aau035","title":"Optimal Directions for Directional Distance Functions: An Exploration of Potential Reductions of Greenhouse Gases","year":2014,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kruger (Canada)","funders":"","keywords":"Greenhouse gas; Reduction (mathematics); Productivity; Range (aeronautics); Compromise; Environmental science; Greenhouse; Nonparametric statistics; Natural resource economics; Environmental economics; Economics; Econometrics; Mathematics; Engineering; Geology; Agronomy","score_opus":0.04383394111872592,"score_gpt":0.30750735840348736,"score_spread":0.26367341728476146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1915677104","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":[0.8379992,0.000041786305,0.16041082,0.00069294724,0.0006315461,0.000074586314,0.000057355042,0.0000094539755,0.00008224655],"genre_scores_gemma":[0.9837481,0.00007231626,0.015507974,0.000017136013,0.00043585472,0.000005641272,0.00001242286,0.000007987509,0.00019261196],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9977198,0.0001916533,0.0013569554,0.0002521497,0.00032814173,0.00015126367],"domain_scores_gemma":[0.99497014,0.000608856,0.0025601224,0.0002456134,0.0014999731,0.000115300856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012042278,0.00013384249,0.0005411928,0.00034971943,0.00022420943,0.000079129735,0.0003743433,0.000033801476,0.000030039988],"category_scores_gemma":[0.0009707604,0.00009130062,0.00043301936,0.0007750913,0.00041882077,0.0017801512,0.000023325607,0.00010943074,0.000003365788],"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":[0.000242068,0.0004363111,0.0009776121,0.000003837326,0.0001797885,1.8067922e-7,0.00053798244,0.93926626,0.00605535,0.0017302815,0.0014098568,0.049160462],"study_design_scores_gemma":[0.006228204,0.027193446,0.49281552,0.0003612217,0.0033526025,0.0015767312,0.16545376,0.16567048,0.043988623,0.023410687,0.0667335,0.003215194],"about_ca_topic_score_codex":0.00007175656,"about_ca_topic_score_gemma":0.00013811413,"teacher_disagreement_score":0.7735958,"about_ca_system_score_codex":0.00008235728,"about_ca_system_score_gemma":0.00009409119,"threshold_uncertainty_score":0.37231314},"labels":[],"label_agreement":null},{"id":"W1966689764","doi":"10.1111/j.1467-8276.2005.00759.x","title":"On Solving the Multirotational Timber Harvesting Problem with Stochastic Prices: A Linear Complementarity Formulation","year":2005,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":123,"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 Waterloo","funders":"Tembec; Ministry of Natural Resources","keywords":"Complementarity (molecular biology); Linear complementarity problem; Mathematical optimization; Markov decision process; Flexibility (engineering); Bellman equation; Markov process; Mathematics; Computer science; Mathematical economics; Applied mathematics; Nonlinear system; Statistics","score_opus":0.009492508593634352,"score_gpt":0.21581696799281347,"score_spread":0.20632445939917912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966689764","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":[0.9949642,0.0000018451402,0.0006276889,0.0017495374,0.00002232687,0.00016245844,0.0000027195117,0.000006531492,0.0024626874],"genre_scores_gemma":[0.9772152,0.0000027455192,0.021825168,0.0005038249,0.00017992225,0.000003626315,0.0000070660844,0.0000059401796,0.0002565284],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99929464,0.000020631644,0.00029082564,0.000101172634,0.00012503102,0.00016769987],"domain_scores_gemma":[0.99915683,0.00012190931,0.0005771663,0.00006324014,0.000018776287,0.00006206295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017660015,0.00011011289,0.00012899023,0.00002393651,0.00016512453,0.00005520351,0.0001816201,0.000009412335,0.0002851708],"category_scores_gemma":[0.000013282143,0.000056124027,0.000051622406,0.00011239905,0.00011754318,0.0005011883,0.000046880992,0.00013587267,0.00010909029],"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":[0.000041421823,0.000038870137,0.0036377376,0.0000013648186,0.000033946133,2.873416e-7,0.0007170844,0.98575824,0.000029163853,0.0009451375,0.0010153366,0.007781386],"study_design_scores_gemma":[0.0022263462,0.0023286324,0.7599247,0.00010594583,0.00015532134,0.00019120827,0.0016044248,0.2161543,0.000058072066,0.00049632567,0.016046034,0.00070868107],"about_ca_topic_score_codex":0.00030501574,"about_ca_topic_score_gemma":0.0006241943,"teacher_disagreement_score":0.76960397,"about_ca_system_score_codex":0.00022618406,"about_ca_system_score_gemma":0.000010249052,"threshold_uncertainty_score":0.31224203},"labels":[],"label_agreement":null},{"id":"W1976167557","doi":"10.1111/j.1467-8276.2009.01319.x","title":"Finding Missing Markets (and a Disturbing Epilogue): Evidence from an Export Crop Adoption and Marketing Intervention in Kenya","year":2009,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":231,"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":"International Development Research Centre; World Bank Group; National Science Foundation","keywords":"Production (economics); Business; Kenya; Consumption (sociology); Agricultural economics; Intervention (counseling); Economics; Marketing","score_opus":0.014782360059386695,"score_gpt":0.23629791948541426,"score_spread":0.22151555942602758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976167557","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":[0.9972546,0.00010876466,0.00008975526,0.0020493958,0.00017331845,0.00006718709,5.487545e-7,0.0000090816675,0.0002473469],"genre_scores_gemma":[0.99679655,0.00016928387,0.0020187816,0.00064156577,0.0003406934,8.2787574e-7,0.000010575356,0.0000056463305,0.000016066779],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989646,0.000031930682,0.0006263071,0.0001751737,0.000050617597,0.00015138123],"domain_scores_gemma":[0.99877924,0.00007275249,0.0009937551,0.000049171766,0.00008075227,0.000024308936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010768551,0.00013104598,0.0002693103,0.0001622451,0.00010758875,0.00035857156,0.000100911864,0.000030159106,0.00002235997],"category_scores_gemma":[0.00011297032,0.00010806586,0.000047902417,0.00011838369,0.00005182646,0.0022020573,0.000041228646,0.0001520003,0.0000020149328],"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":[0.00027484208,0.00006593334,0.28436938,0.000028468527,0.00004495206,0.000010595198,0.0010582416,0.0001615011,0.0010852048,0.00040797165,0.00015103922,0.71234185],"study_design_scores_gemma":[0.00035636054,0.0000344624,0.9938877,0.0003115225,0.000015887246,0.000020892989,0.003966077,0.00073824526,0.000014807974,0.0002706704,0.00022076069,0.0001625646],"about_ca_topic_score_codex":0.00010950359,"about_ca_topic_score_gemma":0.00003702172,"teacher_disagreement_score":0.7121793,"about_ca_system_score_codex":0.00014614312,"about_ca_system_score_gemma":0.0000140328,"threshold_uncertainty_score":0.4406798},"labels":[],"label_agreement":null},{"id":"W1985028675","doi":"10.1111/1467-8276.t01-1-00454","title":"Cost‐Effective Targeting of Land Retirement to Improve Water Quality with Endogenous Sediment Deposition Coefficients","year":2003,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":99,"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":"U.S. Department of Agriculture","keywords":"Renting; Watershed; Marginal value; Sediment; Productivity; Environmental science; Payment; Land use; Deposition (geology); Water quality; Hydrology (agriculture); Natural resource economics; Water resource management; Business; Economics; Computer science; Geology; Ecology; Finance","score_opus":0.03801526665712603,"score_gpt":0.21373851644550484,"score_spread":0.1757232497883788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985028675","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":[0.9959719,0.00007660656,0.002130962,0.00015596778,0.00022309918,0.0004972213,0.000044530443,0.0000038219796,0.00089588825],"genre_scores_gemma":[0.9968405,0.00006578644,0.0028173625,0.00014022959,0.000057299454,0.000023515397,0.000017166223,0.000012704638,0.000025433574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848,0.000051926072,0.0009485885,0.00023542366,0.00003956276,0.00024447168],"domain_scores_gemma":[0.9985025,0.000043158052,0.0011556152,0.000114535214,0.000051776835,0.00013244325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007595048,0.00016245064,0.00053678226,0.000083938736,0.00006986779,0.00003047512,0.00012165208,0.000031919608,0.000060398128],"category_scores_gemma":[0.000025061248,0.000114757095,0.00012299935,0.000069837304,0.00007621693,0.00021640383,0.000026459302,0.00010546762,0.00004872742],"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":[0.0007724194,0.0011494332,0.7170865,0.00008444831,0.0013642481,0.0000073926076,0.009361598,0.19543263,0.048659544,0.007090357,0.00020779714,0.018783608],"study_design_scores_gemma":[0.004701028,0.007126069,0.7108533,0.00008154166,0.000121429555,0.00014889035,0.0077197156,0.00020450226,0.26484108,0.00058126095,0.0024405539,0.0011806615],"about_ca_topic_score_codex":0.00016473865,"about_ca_topic_score_gemma":0.0000130067565,"teacher_disagreement_score":0.21618155,"about_ca_system_score_codex":0.00054908224,"about_ca_system_score_gemma":0.000012609454,"threshold_uncertainty_score":0.46796587},"labels":[],"label_agreement":null},{"id":"W1987478728","doi":"10.1111/0002-9092.00181","title":"Non‐parametric Productivity Analysis with Undesirable Outputs: An Application to the Canadian Pulp and Paper Industry","year":2001,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":643,"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 Alberta","funders":"","keywords":"Parametric statistics; Productivity; Parametric model; Econometrics; Computer science; Representation (politics); Production (economics); Operations research; Industrial engineering; Economics; Mathematics; Engineering; Statistics; Microeconomics; Macroeconomics","score_opus":0.026272288811330258,"score_gpt":0.2838772162422562,"score_spread":0.25760492743092595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987478728","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":[0.98671913,0.000031248193,0.0014781147,0.011222904,0.00004564626,0.00013695,0.000005335473,0.0000044364365,0.00035624055],"genre_scores_gemma":[0.9977376,0.000018526518,0.0011566954,0.0007235915,0.00016083519,0.000003543822,0.0000024464894,0.0000060262983,0.00019072556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99808335,0.00014850851,0.00064527924,0.00042383344,0.0003971202,0.0003019321],"domain_scores_gemma":[0.9971816,0.00023638297,0.00097069924,0.0004933319,0.00062350795,0.0004945116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023334427,0.00016841135,0.0005304389,0.0008469029,0.00037543487,0.0005856233,0.0007887423,0.00006451639,0.000023168941],"category_scores_gemma":[0.00032387915,0.00008000743,0.00013231605,0.0065556066,0.0002388564,0.00083919585,0.000038542803,0.00039649179,0.000019642608],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000611978,0.000095979165,0.3712636,5.697275e-7,0.0005046836,0.000005498378,0.0010027974,0.5371205,0.00014004398,0.00023770348,0.00050813565,0.089059316],"study_design_scores_gemma":[0.00010215868,0.00040968336,0.98561,0.0000031284933,0.00033049373,0.00016482537,0.0050283466,0.002265496,0.00004570801,0.00013538483,0.005703725,0.00020103224],"about_ca_topic_score_codex":0.032156058,"about_ca_topic_score_gemma":0.34296268,"teacher_disagreement_score":0.61434644,"about_ca_system_score_codex":0.00032261456,"about_ca_system_score_gemma":0.00026555004,"threshold_uncertainty_score":0.9742889},"labels":[],"label_agreement":null},{"id":"W1988035046","doi":"10.1111/j.0092-5853.2003.00525.x","title":"Canadian Agriculture and the Development of a Carbon Trading and Offset System","year":2003,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"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":"Citation; Library science; Session (web analytics); Principal (computer security); Associate editor; Operations research; Computer science; World Wide Web; Engineering","score_opus":0.019568974538752,"score_gpt":0.1793866147637139,"score_spread":0.1598176402249619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988035046","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":[0.9916442,0.0010832681,0.000008674447,0.00085784495,0.00018891775,0.000109445726,0.00004367018,0.0000032994808,0.0060607004],"genre_scores_gemma":[0.99808365,0.00055184186,0.0011381909,0.000096779964,0.00007902868,0.0000037696414,0.0000029832918,0.000008997497,0.000034783552],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99859214,0.000028383221,0.0009568057,0.0001634316,0.000015786605,0.0002434678],"domain_scores_gemma":[0.99835646,0.00008869161,0.0012126104,0.000091945956,0.00004089353,0.00020938386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000717747,0.00016239696,0.00068025466,0.00014478683,0.00012733157,0.000062957515,0.00014778685,0.000052380452,0.000007598806],"category_scores_gemma":[0.00004476781,0.00010698853,0.000096044474,0.00012044372,0.00018354341,0.00014618029,0.000021051006,0.0001509683,0.0000024632493],"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":[0.00022698664,0.000095252304,0.1097661,0.00027726026,0.0014978953,0.0000070217475,0.04872338,0.0005965489,0.00018968243,0.82873297,0.0006400791,0.009246843],"study_design_scores_gemma":[0.015625734,0.0012536554,0.6652567,0.0006248948,0.00041234758,0.005706338,0.22628218,0.003135543,0.0027030404,0.011341066,0.063942194,0.003716351],"about_ca_topic_score_codex":0.0058742356,"about_ca_topic_score_gemma":0.010647473,"teacher_disagreement_score":0.8173919,"about_ca_system_score_codex":0.00034924422,"about_ca_system_score_gemma":0.000065827,"threshold_uncertainty_score":0.88801265},"labels":[],"label_agreement":null},{"id":"W2003859724","doi":"10.1093/ajae/aas108","title":"Risk Perceptions And Preferences For Ethical And Safety Credence Attributes","year":2013,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Credence; Session (web analytics); Library science; Sociology; Operations research; Advertising; Business; Computer science; Engineering","score_opus":0.041755788008084715,"score_gpt":0.21453161625564268,"score_spread":0.17277582824755797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003859724","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":[0.99536234,0.0003272162,0.0008246986,0.0028556692,0.00009932288,0.00017003444,0.000107773354,0.00000451259,0.00024842654],"genre_scores_gemma":[0.9887679,0.005467582,0.005266742,0.00028289863,0.000117392396,0.000012474748,0.00000950952,0.0000069690623,0.000068490015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989783,0.00002133355,0.0006331119,0.00019647108,0.000013416141,0.00015732867],"domain_scores_gemma":[0.9986812,0.00020677333,0.00087818166,0.00006865183,0.00003342421,0.00013178292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040812168,0.00012114977,0.00039007355,0.000054937893,0.00014094872,0.00009850084,0.00010861612,0.00007159879,0.00013885443],"category_scores_gemma":[0.00009024672,0.00009890993,0.00008803528,0.000036959565,0.00025361337,0.00046347923,0.000038585815,0.00022185604,0.000040088664],"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":[0.00003864282,0.000050959658,0.9496166,0.000014652381,0.00019799166,1.0930626e-7,0.0013048263,0.0010491074,0.0001003716,0.015428156,0.0017873119,0.030411279],"study_design_scores_gemma":[0.0003585958,0.00038191504,0.9858434,0.000007720741,0.000017815348,0.000033668417,0.0022861466,0.0003721128,0.000010896819,0.009662943,0.0008682915,0.00015645397],"about_ca_topic_score_codex":0.0001895845,"about_ca_topic_score_gemma":0.000022014125,"teacher_disagreement_score":0.036226846,"about_ca_system_score_codex":0.000096789685,"about_ca_system_score_gemma":0.000009744755,"threshold_uncertainty_score":0.40334296},"labels":[],"label_agreement":null},{"id":"W2004480418","doi":"10.1093/ajae/aas030","title":"Food Expenditure and Involuntary Retirement: Resolving the Retirement‐Consumption Puzzle","year":2012,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Department of Families, Housing, Community Services and Indigenous Affairs","keywords":"Economics; Consumption (sociology); Health and Retirement Study; Job loss; Labour economics; Demographic economics; Economic growth; Medicine; Unemployment","score_opus":0.10949021223354213,"score_gpt":0.3384133838382863,"score_spread":0.22892317160474415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004480418","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":[0.99139774,0.00093929906,0.0000037521647,0.0050144456,0.000653006,0.00021194854,0.000004932463,0.000012175694,0.0017626821],"genre_scores_gemma":[0.99539435,0.002697162,0.00024949753,0.00032697298,0.0012373453,0.0000062019426,0.000003651805,0.000007892624,0.000076912],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984788,0.00025724142,0.00048648045,0.00014391812,0.00022418474,0.00040938758],"domain_scores_gemma":[0.998713,0.00013210229,0.00067125604,0.00013898946,0.00008189544,0.0002627352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010885024,0.00015297509,0.0002634278,0.00003866261,0.00060397596,0.00013504956,0.0003074443,0.000045115306,0.00009593248],"category_scores_gemma":[0.000074876894,0.00009230916,0.0001313205,0.00009618625,0.00064359204,0.00076484086,0.00007321664,0.00021647304,0.000009171079],"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":[0.0001427508,0.00026486572,0.8903986,0.000038131922,0.0003704372,9.581125e-7,0.065431,0.000051053386,0.0004668613,0.012729142,0.009928962,0.020177212],"study_design_scores_gemma":[0.00052455126,0.0008666,0.81467015,0.00007092371,0.00015681866,0.000024999892,0.14097115,0.000004315758,0.00030073407,0.00055076554,0.041440208,0.00041881425],"about_ca_topic_score_codex":0.00045847014,"about_ca_topic_score_gemma":0.0011931483,"teacher_disagreement_score":0.07572851,"about_ca_system_score_codex":0.00038826073,"about_ca_system_score_gemma":0.000039994666,"threshold_uncertainty_score":0.4645356},"labels":[],"label_agreement":null},{"id":"W2010727346","doi":"10.1111/j.0002-9092.2004.00632.x","title":"Comments on Talbot Page, William Jaeger, and Richard Howarth","year":2004,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Citation; Queen (butterfly); Art history; Library science; Computer science; Classics; History","score_opus":0.010741185945919381,"score_gpt":0.18487456342961497,"score_spread":0.1741333774836956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010727346","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":[0.98586005,0.00093007326,0.00005919677,0.004845371,0.00059356156,0.00015260577,0.00007666927,0.00001826541,0.0074641784],"genre_scores_gemma":[0.99202675,0.0038007577,0.0017994095,0.0017318366,0.00041617293,0.000004897517,0.000014428934,0.000024608036,0.00018113495],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9979924,0.000019894367,0.0011502757,0.0003932504,0.00003931694,0.000404837],"domain_scores_gemma":[0.99745965,0.000092686685,0.0018258422,0.00021895608,0.00007685725,0.00032603228],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039675456,0.0003434436,0.0009446243,0.00020627894,0.00014055928,0.00016654856,0.00039805836,0.00009027729,0.000034492918],"category_scores_gemma":[0.000051745817,0.00027078873,0.00029674775,0.0001822861,0.0001972686,0.00066831475,0.00008211491,0.0003806903,0.00015433767],"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":[0.0016577244,0.0036804858,0.119644724,0.00016639722,0.005763706,0.00014689898,0.00786863,0.018821226,0.0016035145,0.71338105,0.05400877,0.07325687],"study_design_scores_gemma":[0.0072068567,0.0074918284,0.8072212,0.00016921648,0.00011791785,0.0010436035,0.0031930218,0.000017320628,0.0010302012,0.046062976,0.124146216,0.0022996478],"about_ca_topic_score_codex":0.000058043668,"about_ca_topic_score_gemma":0.000029747145,"teacher_disagreement_score":0.6875765,"about_ca_system_score_codex":0.0002929648,"about_ca_system_score_gemma":0.000028090344,"threshold_uncertainty_score":0.9999744},"labels":[],"label_agreement":null},{"id":"W2016720559","doi":"10.1111/j.1467-8276.2007.01023.x","title":"Aggregation of Price Risk over Commodities: An Economic Index Number Approach","year":2007,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":9,"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":"Superlative; Index (typography); Economics; Aggregate (composite); Price index; Econometrics; Price risk; Industrial production index; Production (economics); Microeconomics; Financial economics; Computer science","score_opus":0.008801384251836098,"score_gpt":0.2037257454208621,"score_spread":0.194924361169026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016720559","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":[0.9673575,0.00030680804,0.0010851162,0.00009423873,0.0005734582,0.00017730016,0.0001895442,0.000017773933,0.030198246],"genre_scores_gemma":[0.9934084,0.0011513204,0.004366584,0.00013167676,0.00070804276,0.0000031634402,0.00004163284,0.000031455118,0.00015773716],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967348,0.00004757056,0.0022744248,0.00042138307,0.00004890668,0.00047293078],"domain_scores_gemma":[0.9934082,0.00020532728,0.005563409,0.00035873728,0.00013708037,0.00032725593],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001703316,0.0003583008,0.0012098827,0.00027247553,0.00011864809,0.0001100967,0.0006989992,0.00016025986,0.00014344772],"category_scores_gemma":[0.000054870598,0.00030950792,0.00047023673,0.00021499472,0.00028175532,0.0015318521,0.000080343605,0.00045842864,0.00006344651],"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":[0.0011106726,0.0013096948,0.75492656,0.00008970098,0.0022267592,0.0000076144306,0.005178618,0.021312783,0.00016872618,0.18551771,0.0063779186,0.021773249],"study_design_scores_gemma":[0.0018921776,0.0011011503,0.9687323,0.0000360606,0.00007384603,0.00028366258,0.005981023,0.00064568006,0.00042525827,0.008855337,0.011002263,0.0009712615],"about_ca_topic_score_codex":0.0005494579,"about_ca_topic_score_gemma":0.00016258049,"teacher_disagreement_score":0.21380574,"about_ca_system_score_codex":0.00051071227,"about_ca_system_score_gemma":0.000058853682,"threshold_uncertainty_score":0.9999357},"labels":[],"label_agreement":null},{"id":"W2017345395","doi":"10.1093/ajae/aap007","title":"Are Intraday Volume and Volatility U‐Shaped After Accounting for Public Information?","year":2010,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Volatility (finance); Futures contract; Common value auction; Business; Public information; Financial economics; Futures market; Monetary economics; Economics; Commodity; Finance; Microeconomics","score_opus":0.009867293683248722,"score_gpt":0.17837557268435006,"score_spread":0.16850827900110132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017345395","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":[0.99621856,0.000121607525,0.0006180099,0.002177277,0.00035724882,0.00011226518,0.00011421689,0.00000788105,0.0002729148],"genre_scores_gemma":[0.9972901,0.00003841918,0.0020081887,0.00024084296,0.0003273436,0.000008965949,0.000007577202,0.000007824823,0.00007079046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853426,0.000007857187,0.0010585953,0.00015048891,0.000023224335,0.00022556471],"domain_scores_gemma":[0.9967267,0.00005634024,0.0027169923,0.000142122,0.00021679352,0.00014104864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004812295,0.0001500635,0.0006087168,0.00016769857,0.00011392587,0.0003512834,0.00019807921,0.000049910414,0.00019714091],"category_scores_gemma":[0.00016963066,0.0001239242,0.00023039617,0.00016632628,0.0000926013,0.0016233567,0.00004835349,0.00020760924,0.000021046295],"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":[0.00009690537,0.00006441714,0.96144795,0.00005309914,0.000514838,9.458451e-7,0.0009078095,0.00005300759,0.000059514747,0.01714392,0.0012133078,0.01844431],"study_design_scores_gemma":[0.0003691045,0.000116318384,0.8957395,0.0000065066934,0.000021528469,0.00005982796,0.0015806389,0.0037317947,0.0000033879473,0.0011833459,0.096943416,0.00024460902],"about_ca_topic_score_codex":0.00012600896,"about_ca_topic_score_gemma":0.00025041288,"teacher_disagreement_score":0.0957301,"about_ca_system_score_codex":0.00006181718,"about_ca_system_score_gemma":0.000019089139,"threshold_uncertainty_score":0.5053482},"labels":[],"label_agreement":null},{"id":"W2020745465","doi":"10.1111/j.1467-8276.2005.00732.x","title":"The Crowding Effects of Basic and Applied Research: A Theoretical and Empirical Analysis of an Agricultural Biotech Industry","year":2005,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":29,"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; University of Lethbridge","funders":"","keywords":"Crowding out; Productivity; Incentive; Economics; Agriculture; Variety (cybernetics); Empirical research; Econometric model; Public economics; Consistency (knowledge bases); Industrial organization; Econometrics; Marketing; Microeconomics; Business; Computer science; Mathematics; Macroeconomics; Statistics; Biology","score_opus":0.02404054497575738,"score_gpt":0.26991458015479874,"score_spread":0.24587403517904136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020745465","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":[0.9962358,0.00030901193,0.000022455604,0.002538144,0.000049506823,0.000101768695,0.000017859818,0.000003924027,0.0007215214],"genre_scores_gemma":[0.99849033,0.00038317838,0.0008548725,0.00012470008,0.000116965275,0.0000026139837,0.000004009907,0.000007038439,0.000016274607],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99842036,0.00006291267,0.0009900965,0.00021871862,0.00006387679,0.00024400903],"domain_scores_gemma":[0.9979343,0.0005198166,0.0010868965,0.00015109748,0.00016213962,0.00014575376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011788517,0.00014361183,0.0007046846,0.0003884571,0.00013586336,0.00008835596,0.0002605441,0.00012261693,0.000014216976],"category_scores_gemma":[0.00018582748,0.000087623244,0.00013738582,0.0010704157,0.0009885089,0.00025499758,0.00007862717,0.00053948193,0.0000016641787],"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":[0.00026683076,0.0003453248,0.07203694,0.000058874673,0.0023995873,0.0000021258963,0.0037439563,0.0012780355,0.00427818,0.874106,0.00056405494,0.040920116],"study_design_scores_gemma":[0.00056595344,0.0005992753,0.98811585,0.000018136094,0.00010901661,0.00003934445,0.0034569555,0.00053179386,0.0032876325,0.0025134133,0.00056032575,0.00020231625],"about_ca_topic_score_codex":0.000023658506,"about_ca_topic_score_gemma":0.000018536368,"teacher_disagreement_score":0.9160789,"about_ca_system_score_codex":0.00008303068,"about_ca_system_score_gemma":0.000022610167,"threshold_uncertainty_score":0.36422023},"labels":[],"label_agreement":null},{"id":"W2021140638","doi":"10.1111/j.1467-8276.2005.00814.x","title":"Effectiveness of Conservation Programs in Illinois and Gains from Targeting","year":2005,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Citation; Library science; Session (web analytics); Principal (computer security); Sociology; Computer science; World Wide Web","score_opus":0.015807648490450413,"score_gpt":0.20881776873182997,"score_spread":0.19301012024137956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021140638","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":[0.9980206,0.0001843866,7.774961e-7,0.0015037816,0.000057315377,0.00013027443,0.000025671707,0.0000058509786,0.00007136797],"genre_scores_gemma":[0.99833906,0.0005454777,0.0006322511,0.000102242964,0.00032285924,0.0000028516497,0.00004804107,0.000001055594,0.0000061657483],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99887246,0.0001045791,0.0006157563,0.00016305498,0.000049097645,0.00019504117],"domain_scores_gemma":[0.9985901,0.00036443333,0.0007997723,0.000026037815,0.00011056163,0.00010908421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035588248,0.0001516676,0.00046444032,0.00001979956,0.000044690165,0.00004242946,0.00017798248,0.00005173357,0.00001538395],"category_scores_gemma":[0.00003209365,0.00005592013,0.00012026418,0.00018024282,0.00012286994,0.0003573661,0.000040196355,0.00014290134,0.000002522336],"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":[0.00033383476,0.00029233823,0.32014,0.00002460226,0.00016941561,0.0000026038658,0.0011598924,0.0018911775,0.22927195,0.001246845,0.00017024956,0.4452971],"study_design_scores_gemma":[0.00029998843,0.00049680576,0.99219054,0.00006544248,0.00001531668,0.000021025491,0.0021165665,0.000080372585,0.0029932319,0.00017911426,0.001362629,0.00017895862],"about_ca_topic_score_codex":0.0018309198,"about_ca_topic_score_gemma":0.00103416,"teacher_disagreement_score":0.67205054,"about_ca_system_score_codex":0.000095633164,"about_ca_system_score_gemma":0.000012699378,"threshold_uncertainty_score":0.27678153},"labels":[],"label_agreement":null},{"id":"W2022777694","doi":"10.1111/j.1467-8276.2005.00728.x","title":"Aggregation over Firms under Mean Scaling","year":2005,"lang":"en","type":"article","venue":"American Journal of Agricultural 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":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Scaling; Aggregate (composite); Econometrics; Distribution (mathematics); Minification; Statistics; Mathematics; Economics; Mathematical optimization; Materials science","score_opus":0.01068998713684808,"score_gpt":0.19301916567437372,"score_spread":0.18232917853752564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022777694","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":[0.9864824,0.0011709379,0.00022731151,0.0032506608,0.0005268336,0.00010586163,0.000035499652,0.000022035836,0.008178488],"genre_scores_gemma":[0.99260706,0.0011711981,0.0035259465,0.0010099432,0.0012740068,0.0000029502758,0.000014490707,0.000023936376,0.0003704756],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99776727,0.000021763752,0.0014537622,0.00033595244,0.000039322935,0.0003819299],"domain_scores_gemma":[0.9970538,0.00009192863,0.0022925946,0.0002127518,0.0001074601,0.00024149203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054412795,0.000282893,0.00080003205,0.00020904046,0.00011654051,0.00017159968,0.00045119922,0.00009633723,0.00020139206],"category_scores_gemma":[0.000035462654,0.00022965093,0.00042916488,0.00021565577,0.0001301607,0.0012398658,0.00006163587,0.00032139718,0.00025051105],"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":[0.0005961402,0.0012849529,0.05153016,0.00006348544,0.003438136,0.000016124677,0.0073490124,0.101794876,0.0015574176,0.62560785,0.03554905,0.17121279],"study_design_scores_gemma":[0.00395675,0.001591367,0.7975355,0.00013165956,0.00014374693,0.00079430145,0.006129539,0.0011111577,0.001898747,0.026982363,0.15723278,0.0024921258],"about_ca_topic_score_codex":0.00006458693,"about_ca_topic_score_gemma":0.00010388188,"teacher_disagreement_score":0.7460053,"about_ca_system_score_codex":0.00042560796,"about_ca_system_score_gemma":0.000029398561,"threshold_uncertainty_score":0.93648934},"labels":[],"label_agreement":null},{"id":"W2024051385","doi":"10.1111/1467-8276.00508","title":"The Pricing of Revenue Assurance: Comment","year":2003,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Revenue; Christian ministry; Citation; Paragraph; Management; Library science; Psychology; Political science; Economics; Computer science; Law; Finance","score_opus":0.005762780247842541,"score_gpt":0.18899292018863204,"score_spread":0.1832301399407895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024051385","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":[0.99528617,0.00045161755,0.0000025862257,0.0034842424,0.00024039965,0.00009210158,0.000011200717,0.000004408714,0.00042729892],"genre_scores_gemma":[0.99694246,0.0023130726,0.00025905133,0.00015988585,0.0001712842,0.0000017892941,0.0000019372194,7.3492123e-7,0.00014976267],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987388,0.00014012327,0.0006038152,0.00012321833,0.00013830057,0.0002557386],"domain_scores_gemma":[0.99789876,0.0005608336,0.0011587479,0.00005208099,0.00021322577,0.00011635371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004377717,0.00014587419,0.0003445526,0.0000076334945,0.0002599691,0.000049359845,0.0004177002,0.000033694618,0.000013568787],"category_scores_gemma":[0.00012513697,0.00003525893,0.00022680334,0.00029050934,0.00023710703,0.000172295,0.00002993592,0.00018705586,0.0000046840973],"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":[0.00030204075,0.000500021,0.072106734,0.000026593127,0.0005269579,0.000012683743,0.0015245719,0.0049653705,0.31183422,0.014945108,0.024270512,0.56898516],"study_design_scores_gemma":[0.00025590917,0.0013471151,0.85633343,0.000073378695,0.000046803714,0.000323775,0.011766201,0.000003913121,0.01752609,0.00036366002,0.11164672,0.00031298367],"about_ca_topic_score_codex":0.00008023117,"about_ca_topic_score_gemma":0.0001824671,"teacher_disagreement_score":0.7842267,"about_ca_system_score_codex":0.00006272905,"about_ca_system_score_gemma":0.00002084854,"threshold_uncertainty_score":0.19994985},"labels":[],"label_agreement":null},{"id":"W2027526095","doi":"10.1111/j.1467-8276.2005.00731.x","title":"Process Innovation Activity in a Mixed Oligopoly: The Role of Cooperatives","year":2005,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Cooperative Studies and Economics","field":"Business, Management and Accounting","cited_by":86,"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":"Oligopoly; Earnings; Welfare; Microeconomics; Industrial organization; Process (computing); Economics; Agriculture; Innovation process; Business; Cournot competition; Social Welfare; Market economy","score_opus":0.007205628580699666,"score_gpt":0.20621901845271226,"score_spread":0.19901338987201259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027526095","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":[0.9946364,0.00006781543,0.000005304753,0.0030384306,0.00008993559,0.00008955036,0.0000019375705,0.0000036465124,0.002066974],"genre_scores_gemma":[0.9989238,0.00007840503,0.00006710632,0.00033837234,0.00056700216,0.0000033441065,0.0000017172708,0.0000058124115,0.000014434353],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992506,0.000010499793,0.00046538413,0.0000949394,0.000040638723,0.00013794172],"domain_scores_gemma":[0.99860346,0.00003847595,0.0009719065,0.000061000217,0.00031847743,0.0000066712328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021600172,0.0001178154,0.0003228573,0.0001195368,0.00008397153,0.00007312924,0.00019456317,0.000016319913,0.000018023953],"category_scores_gemma":[0.000050716084,0.00006775828,0.000061413775,0.00047746033,0.00013683396,0.0011688076,0.000055601526,0.00014178207,0.000006823148],"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":[0.000592369,0.00072084897,0.14752014,0.00006258447,0.0006114654,0.0000016269705,0.005634188,0.106786944,0.01548942,0.065723166,0.0011849789,0.65567225],"study_design_scores_gemma":[0.0011157256,0.00019346047,0.920568,0.00005677296,0.00005597291,0.000016780368,0.04639795,0.0039374824,0.0064584794,0.00075392105,0.02000567,0.00043979462],"about_ca_topic_score_codex":0.00013879938,"about_ca_topic_score_gemma":0.00068626995,"teacher_disagreement_score":0.77304786,"about_ca_system_score_codex":0.00007129082,"about_ca_system_score_gemma":0.00003174997,"threshold_uncertainty_score":0.27631024},"labels":[],"label_agreement":null},{"id":"W2033770220","doi":"10.1111/1467-8276.t01-2-00513","title":"The Canadian Wheat Board: Marketing in the New Millenium","year":2003,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":27,"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":"Citation; Library science; Editorial board; State (computer science); Political science; History; Computer science; Algorithm","score_opus":0.007658460367444944,"score_gpt":0.1842136209073457,"score_spread":0.17655516053990075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033770220","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":[0.96168625,0.0003587644,8.4549065e-8,0.031204285,0.0002780217,0.00013436882,0.0000079403435,0.0000040859513,0.006326171],"genre_scores_gemma":[0.9963388,0.0010534893,0.00008899178,0.0014873325,0.00067975227,0.000003063983,0.0000051152715,0.0000013462944,0.00034211273],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9983046,0.00029622577,0.00060588424,0.00016786954,0.00009521989,0.0005301855],"domain_scores_gemma":[0.998252,0.00072079024,0.00054802076,0.000071791495,0.00008534193,0.00032208467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001194957,0.00020536601,0.00031019145,0.000021310978,0.0005469334,0.00035920984,0.0007402361,0.00006059722,0.000058514677],"category_scores_gemma":[0.00013866356,0.0000499961,0.00023983988,0.00034187618,0.00013917324,0.00022494997,0.00002234511,0.00037152917,0.00002320779],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033877243,0.00019381536,0.04827777,0.00000842146,0.00043610294,0.000054429078,0.0045696283,0.0023274578,0.0057897526,0.047833897,0.20622091,0.68394905],"study_design_scores_gemma":[0.00017844212,0.0002643276,0.53338116,0.0000129970995,0.000016311658,0.00041264316,0.010006693,0.000004647303,0.00008302699,0.00039007093,0.4549962,0.00025348668],"about_ca_topic_score_codex":0.047662355,"about_ca_topic_score_gemma":0.551141,"teacher_disagreement_score":0.68369555,"about_ca_system_score_codex":0.00028242098,"about_ca_system_score_gemma":0.00013070946,"threshold_uncertainty_score":0.9586793},"labels":[],"label_agreement":null},{"id":"W2036043392","doi":"10.1111/j.0092-5853.2003.00527.x","title":"Carbon Sequestration in Agriculture: The Policy Context: Discussion","year":2003,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Gray (unit); Library science; Context (archaeology); Session (web analytics); Citation; Principal (computer security); Management; Political science; Operations research; Sociology; History; Economics; Computer science; Engineering; Archaeology; World Wide Web","score_opus":0.02515811762942198,"score_gpt":0.22341285711074116,"score_spread":0.19825473948131916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036043392","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":[0.9811526,0.00041700268,0.00001643695,0.009963471,0.00042186235,0.00014580681,0.000034678236,0.000007716105,0.007840402],"genre_scores_gemma":[0.99718666,0.0012767046,0.00014582202,0.00070468744,0.0004481716,0.0000074041563,0.00000767241,0.000015108918,0.00020775535],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99813014,0.000059050275,0.0011919172,0.00023037894,0.000025596655,0.00036293163],"domain_scores_gemma":[0.9979862,0.00008041555,0.001566979,0.0001873701,0.00004821258,0.00013081933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006706275,0.00022253969,0.00061806955,0.00021585457,0.0000895198,0.00011484216,0.00031899338,0.00007486852,0.00003203283],"category_scores_gemma":[0.000170203,0.00012292927,0.00022209994,0.00038430456,0.00015522745,0.00040451463,0.000029681076,0.00032501627,0.000035427987],"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":[0.00010825125,0.00031311222,0.12485733,0.00002395489,0.0002508891,0.000009887431,0.008720955,0.0061721066,0.00040721768,0.84967935,0.0012420717,0.008214852],"study_design_scores_gemma":[0.004258039,0.0016405847,0.7544217,0.00015317627,0.000065618886,0.0012335667,0.047291264,0.00045261162,0.0026083952,0.08951426,0.0962307,0.0021300947],"about_ca_topic_score_codex":0.0010840433,"about_ca_topic_score_gemma":0.00077913364,"teacher_disagreement_score":0.7601651,"about_ca_system_score_codex":0.0005522015,"about_ca_system_score_gemma":0.000063556974,"threshold_uncertainty_score":0.501291},"labels":[],"label_agreement":null},{"id":"W2036208087","doi":"10.1111/0002-9092.00289","title":"Price Discrimination and Pricing to Market Behavior of Canadian Canola Exporters","year":2001,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":9,"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 Guelph; University of Manitoba","funders":"","keywords":"Canola; Exchange rate; Currency; Economics; Price discrimination; Monetary economics; Local currency; Relative price; International economics; Business; Microeconomics","score_opus":0.02439778695983147,"score_gpt":0.19079939738332352,"score_spread":0.16640161042349205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036208087","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":[0.98791206,0.00016500926,0.00004431686,0.0016005422,0.00029015864,0.0001388189,0.00007261236,0.000004155466,0.009772357],"genre_scores_gemma":[0.9962527,0.0013301321,0.0017848957,0.00034323905,0.000105279185,0.000004166717,0.0000051812262,0.000012815317,0.0001615724],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847716,0.000010820057,0.00096031243,0.00021586024,0.000021725557,0.00031410222],"domain_scores_gemma":[0.99825054,0.000032710268,0.0011072891,0.00012881536,0.000071152266,0.00040948097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031610503,0.00016493243,0.0005680753,0.0006144116,0.000064265616,0.00006487403,0.00024162019,0.000046743713,0.00007175981],"category_scores_gemma":[0.000042213564,0.00015591375,0.00012448929,0.00038495025,0.00007913793,0.000456427,0.00003123295,0.00012505558,0.0000151983795],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016589276,0.00022767865,0.914046,0.000038664508,0.00042071452,0.00004201521,0.004935022,0.0025531375,0.0004965408,0.027078383,0.0060108025,0.04398517],"study_design_scores_gemma":[0.00032202073,0.00039932856,0.97816455,0.000023198703,0.000027661585,0.00030927142,0.0031774791,0.00007852811,0.00007837551,0.00026611576,0.016868096,0.000285386],"about_ca_topic_score_codex":0.0224236,"about_ca_topic_score_gemma":0.011144707,"teacher_disagreement_score":0.06411856,"about_ca_system_score_codex":0.0003695108,"about_ca_system_score_gemma":0.000055343866,"threshold_uncertainty_score":0.98408616},"labels":[],"label_agreement":null},{"id":"W2046802424","doi":"10.1111/1467-8276.00305","title":"On Jumps and ARCH Effects in Natural Resource Prices: An Application to Pacific Northwest Stumpage Prices","year":2002,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université Laval","funders":"","keywords":"Stumpage; Arch; Sample (material); Resource (disambiguation); Natural resource; Economics; Monte Carlo method; Econometrics; Horizon; Environmental science; Mathematics; Computer science; Statistics; Engineering; Agricultural economics; Ecology; Geometry; Structural engineering; Physics","score_opus":0.0035890912689568164,"score_gpt":0.19006392734600774,"score_spread":0.18647483607705093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046802424","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":[0.9959612,0.0000253667,0.0000067605974,0.0006679286,0.000042279007,0.00020881103,0.0000016908924,0.000007629886,0.003078333],"genre_scores_gemma":[0.99850595,0.000077530814,0.0007008128,0.0003868043,0.00008967009,0.000006584652,0.0000040671534,0.0000072051976,0.00022137273],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99915946,0.000037589183,0.00027861126,0.00020564729,0.00010024852,0.00021842656],"domain_scores_gemma":[0.9993002,0.00009004945,0.00031349136,0.00012137782,0.00000663876,0.00016826206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015183054,0.00014220814,0.00021679906,0.00009622438,0.00006252781,0.00006209283,0.00026420734,0.000019773443,0.000038143822],"category_scores_gemma":[0.000014414868,0.00009678056,0.000042158877,0.00029179244,0.000118697026,0.00038036454,0.000068689726,0.00017106917,0.00011378629],"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":[0.00033987148,0.00081066653,0.4267993,0.000051692237,0.000117173164,0.000031763368,0.017615667,0.08136676,0.0025295743,0.0024510815,0.011064892,0.45682156],"study_design_scores_gemma":[0.00031895837,0.0010331689,0.98702556,0.000018453451,0.000012712649,0.000028570783,0.0007555728,0.0012180622,0.000038415634,0.00004801022,0.009282686,0.00021980699],"about_ca_topic_score_codex":0.00044364345,"about_ca_topic_score_gemma":0.0006986581,"teacher_disagreement_score":0.56022626,"about_ca_system_score_codex":0.00017199357,"about_ca_system_score_gemma":0.0000018686653,"threshold_uncertainty_score":0.3946597},"labels":[],"label_agreement":null},{"id":"W2048951190","doi":"10.1111/j.1467-8276.2005.00751.x","title":"Forecast Encompassing as the Necessary Condition to Reject Futures Market Efficiency: Fluid Milk Futures","year":2005,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":21,"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":"Futures contract; Inefficiency; Futures market; Economics; Transaction cost; Econometrics; Forward market; Financial economics; Quarter (Canadian coin); Microeconomics","score_opus":0.008463886481640608,"score_gpt":0.21404293826462167,"score_spread":0.20557905178298105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048951190","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":[0.97462434,0.0006264751,0.00018662651,0.0093865665,0.0006830285,0.00019230768,0.00010242956,0.0000149923735,0.014183249],"genre_scores_gemma":[0.9948909,0.00045231116,0.0014291606,0.0017074463,0.0011358275,0.000006717654,0.000011160107,0.000018664688,0.0003478067],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99796766,0.00006741504,0.0011744949,0.00033238664,0.00006328868,0.00039477108],"domain_scores_gemma":[0.99777406,0.00019425295,0.0014123415,0.00027898166,0.00011465356,0.00022573282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010506584,0.00027148702,0.0006894739,0.00019901695,0.00036260416,0.0002460673,0.00061004056,0.000068250534,0.00043872703],"category_scores_gemma":[0.00012353738,0.00018501948,0.0003498228,0.00033752914,0.0001720702,0.0004998729,0.0000844828,0.0003459087,0.000043194414],"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":[0.0026105293,0.0014876693,0.14450738,0.00013377453,0.002246578,0.000041946663,0.018972376,0.050318073,0.0017485351,0.09755751,0.3036971,0.37667853],"study_design_scores_gemma":[0.0017600575,0.0019332187,0.6664286,0.00010182061,0.00009536936,0.0008381096,0.01178051,0.05278248,0.00032110122,0.008682359,0.2537125,0.001563842],"about_ca_topic_score_codex":0.00017299935,"about_ca_topic_score_gemma":0.00029070102,"teacher_disagreement_score":0.5219212,"about_ca_system_score_codex":0.00033898425,"about_ca_system_score_gemma":0.00007018841,"threshold_uncertainty_score":0.7544875},"labels":[],"label_agreement":null},{"id":"W2049081644","doi":"10.1093/ajae/aas094","title":"Wind versus Nuclear Options for Generating Electricity in a Carbon‐Constrained World: Strategizing in an Energy‐Rich Economy","year":2013,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Session (web analytics); Citation; Library science; Operations research; Computer science; Engineering; World Wide Web","score_opus":0.009966723892738031,"score_gpt":0.20183753517434253,"score_spread":0.1918708112816045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049081644","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":[0.9969109,0.000014000699,0.00001076974,0.00039771665,0.00006796054,0.00009251991,0.0000015450657,0.000005274688,0.0024992824],"genre_scores_gemma":[0.9956744,0.00005775829,0.003910667,0.00018562186,0.0001127062,0.0000065755717,0.00000502678,0.000011682804,0.00003559168],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99885386,0.000059784183,0.00049227354,0.00019542943,0.000046894776,0.00035178039],"domain_scores_gemma":[0.9992291,0.00008913287,0.00040714632,0.00008949147,0.000009259121,0.00017591882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001783706,0.00016486879,0.0002919131,0.00010960262,0.000059271646,0.000086800625,0.00021701439,0.0000385371,0.00013473337],"category_scores_gemma":[0.000014006976,0.00013331596,0.000073038784,0.00025606682,0.00013113534,0.00094241934,0.000034503668,0.00018159384,0.0000059489366],"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":[0.000092657,0.00015559744,0.02090833,0.0000016776931,0.000036775946,0.000003425943,0.00047025835,0.9546987,0.010330248,0.0009011815,0.000069358946,0.012331828],"study_design_scores_gemma":[0.0043326057,0.0027946422,0.944262,0.00004060325,0.000056285407,0.000104689134,0.009650704,0.03399783,0.0013219101,0.0011753842,0.0011248161,0.0011385127],"about_ca_topic_score_codex":0.00074290537,"about_ca_topic_score_gemma":0.002814464,"teacher_disagreement_score":0.9233537,"about_ca_system_score_codex":0.0005773863,"about_ca_system_score_gemma":0.000022739123,"threshold_uncertainty_score":0.54364675},"labels":[],"label_agreement":null},{"id":"W2049468150","doi":"10.1111/j.1467-8276.2007.01122.x","title":"How Reliable Are Hog Futures as Forecasts?","year":2008,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":38,"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 Food and Rural Development; University of Alberta","funders":"","keywords":"Futures contract; Cash; Futures market; Economics; Financial economics; Commodity; Forward market; Econometrics; Finance","score_opus":0.014214013728425448,"score_gpt":0.18094240045291707,"score_spread":0.1667283867244916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049468150","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":[0.98912317,0.0006387184,0.00012167356,0.0033762837,0.0006058166,0.00009360706,0.00006106798,0.000013478659,0.005966191],"genre_scores_gemma":[0.9934469,0.00196066,0.0019211406,0.00034921334,0.0005002539,0.0000029159733,0.000007894052,0.000019697616,0.0017913334],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984486,0.000018844878,0.0008500575,0.00029264906,0.000041818446,0.00034803868],"domain_scores_gemma":[0.9969198,0.00006112367,0.002403135,0.00024189147,0.00014233924,0.0002317275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035462304,0.00023873826,0.00084943674,0.00015521987,0.00019771505,0.00013375974,0.00040942227,0.00007516121,0.00010580256],"category_scores_gemma":[0.00011425063,0.00019393722,0.0003880642,0.0002278268,0.00020199493,0.0006609766,0.000058731363,0.00032096266,0.00003150277],"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":[0.00038324724,0.00041590986,0.91176623,0.000047159312,0.0008289285,0.00008872619,0.0018580183,0.0008832386,0.000055723038,0.046125975,0.023292843,0.014253987],"study_design_scores_gemma":[0.0012323287,0.0011269695,0.87955815,0.000036686768,0.00002936901,0.0016413748,0.004371569,0.0023587246,0.00008167501,0.015015958,0.09364515,0.0009020307],"about_ca_topic_score_codex":0.00018654365,"about_ca_topic_score_gemma":0.000056140434,"teacher_disagreement_score":0.0703523,"about_ca_system_score_codex":0.0002192833,"about_ca_system_score_gemma":0.00004394338,"threshold_uncertainty_score":0.790853},"labels":[],"label_agreement":null},{"id":"W2051420777","doi":"10.1111/j.1467-8276.2008.01225.x","title":"Recent Immigration and Economic Outcomes in Rural America","year":2008,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":30,"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":"Citation; State (computer science); Library science; Session (web analytics); Immigration; Principal (computer security); Political science; Management; Economics; Law; Business","score_opus":0.012917916479691089,"score_gpt":0.24282123409898518,"score_spread":0.22990331761929408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051420777","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":[0.99114525,0.00030199197,0.0000061933943,0.006672144,0.0002651486,0.000072432136,0.000004355783,0.000008085487,0.0015243747],"genre_scores_gemma":[0.9668527,0.032115508,0.00034187507,0.00023884616,0.00021398744,0.0000022422225,0.0000018814075,0.0000043223818,0.00022861134],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906576,0.00009256757,0.0004671268,0.000101089,0.00007408936,0.00019934145],"domain_scores_gemma":[0.99899954,0.00017082658,0.00057822245,0.00004808083,0.00008566516,0.000117684765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017026319,0.00011489228,0.0004077898,0.00008920414,0.00023318916,0.00004035496,0.00012875376,0.000027496644,0.000035286143],"category_scores_gemma":[0.000055209082,0.00008107139,0.00008659235,0.000120029705,0.00048013142,0.00048062415,0.000020163687,0.00011819589,0.000013450053],"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":[0.00007218361,0.000090731286,0.8148837,0.0000016189866,0.00018097191,0.0000068140557,0.041006,0.00073446304,0.000041325362,0.0016891913,0.0033095286,0.13798349],"study_design_scores_gemma":[0.0004201786,0.0002069599,0.9017497,0.0000073516135,0.000015729049,0.00004397064,0.07099936,0.000029153209,0.0000141179,0.00010744551,0.026210893,0.00019514855],"about_ca_topic_score_codex":0.0021589007,"about_ca_topic_score_gemma":0.0032553077,"teacher_disagreement_score":0.13778834,"about_ca_system_score_codex":0.00030713392,"about_ca_system_score_gemma":0.00012399307,"threshold_uncertainty_score":0.33059952},"labels":[],"label_agreement":null},{"id":"W2055890570","doi":"10.1111/1467-8276.00130","title":"Estimating Willingness to Pay for Improved Water Quality in the Presence of Item Nonresponse Bias","year":2003,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Medical Research Council; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Contingent valuation; Respondent; Willingness to pay; Payment card; Non-response bias; Sample (material); Payment; Econometrics; Missing data; Selection bias; Quality (philosophy); Estimation; Identification (biology); Valuation (finance); Economics; Statistics; Actuarial science; Microeconomics; Mathematics","score_opus":0.08200665575115858,"score_gpt":0.25582300549851505,"score_spread":0.1738163497473565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055890570","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":[0.99490154,0.00004208599,0.002995024,0.0013211879,0.00027872942,0.00026719476,0.000039573806,0.0000019749548,0.00015266512],"genre_scores_gemma":[0.9867496,0.000037988913,0.012753384,0.00029532623,0.00007762627,0.000015915704,0.000005670722,0.000009347685,0.00005513038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982137,0.00009240097,0.0012554798,0.00019145812,0.000020327741,0.00022664845],"domain_scores_gemma":[0.9981865,0.00041018653,0.0011457299,0.00015730286,0.000034496952,0.00006578058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027825153,0.00013326544,0.00051637465,0.000079421756,0.000054628927,0.00004344236,0.00028697075,0.000033954053,0.000024739973],"category_scores_gemma":[0.00038851643,0.00007643681,0.00017438924,0.000097544034,0.00007092044,0.0003003047,0.00002245204,0.000120819495,0.000014812492],"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":[0.0007588188,0.00076532015,0.7415356,0.000115552604,0.0004224136,0.000001983218,0.02423034,0.16937478,0.0096267285,0.033208676,0.0006387387,0.019321045],"study_design_scores_gemma":[0.0011798441,0.00087580923,0.9787317,0.00003096802,0.000018062328,0.000042295535,0.00592148,0.0035790664,0.0026743913,0.0043413816,0.0022047707,0.00040022432],"about_ca_topic_score_codex":0.00011710307,"about_ca_topic_score_gemma":0.00003113023,"teacher_disagreement_score":0.2371961,"about_ca_system_score_codex":0.00015993226,"about_ca_system_score_gemma":0.000017835708,"threshold_uncertainty_score":0.31170025},"labels":[],"label_agreement":null},{"id":"W2064320019","doi":"10.1111/0002-9092.00172","title":"Preference Uncertainty in Non‐Market Valuation: A Fuzzy Approach","year":2001,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":77,"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":"Valuation (finance); Probabilistic logic; Fuzzy logic; Contingent valuation; Economics; Decision maker; Econometrics; Fuzzy number; Mathematical economics; Computer science; Fuzzy set; Microeconomics; Mathematics; Willingness to pay; Operations research; Artificial intelligence; Finance","score_opus":0.06369823991753279,"score_gpt":0.202391472214548,"score_spread":0.13869323229701522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064320019","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":[0.9684551,0.000185319,0.00048841373,0.0005117324,0.00021445098,0.00015197942,0.000015940557,0.0000056433146,0.029971424],"genre_scores_gemma":[0.99573207,0.0013163051,0.0020555567,0.00020965145,0.00019254496,0.000011337323,0.00001674327,0.000012801285,0.00045298645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982178,0.000035329118,0.0011536326,0.0002880764,0.00003366317,0.00027145824],"domain_scores_gemma":[0.9982274,0.000056229062,0.0013960549,0.00016752724,0.000030121368,0.00012264997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008486273,0.0001890744,0.00061036274,0.00018475931,0.000053501626,0.000060529208,0.00031386368,0.00005926169,0.0002416966],"category_scores_gemma":[0.000038133578,0.00017003198,0.0001747313,0.00022810085,0.00012222305,0.0006319751,0.000044077682,0.00022710685,0.00013876392],"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":[0.00018052834,0.00045618153,0.7694384,0.000015800111,0.00022383821,0.0000052746514,0.0021640845,0.19142038,0.000042494048,0.014860595,0.0016243187,0.0195681],"study_design_scores_gemma":[0.00088992406,0.00027834778,0.9865364,0.000013951358,0.000010596417,0.00011604889,0.0019905285,0.003926173,0.0000064653605,0.004691163,0.001259491,0.00028094795],"about_ca_topic_score_codex":0.00018853361,"about_ca_topic_score_gemma":0.000037231915,"teacher_disagreement_score":0.21709795,"about_ca_system_score_codex":0.0005979332,"about_ca_system_score_gemma":0.000027631744,"threshold_uncertainty_score":0.6933703},"labels":[],"label_agreement":null},{"id":"W2066132435","doi":"10.1111/j.1467-8276.2006.00889.x","title":"Pricing Weather Insurance with a Random Strike Price: The Ontario Ice‐Wine Harvest","year":2006,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":39,"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 Guelph","funders":"","keywords":"Event (particle physics); Product (mathematics); Weather patterns; Extreme weather; Environmental science; Wine; Business; Meteorology; Economics; Mathematics; Geography; Climate change; Geology; Oceanography","score_opus":0.004013205288083606,"score_gpt":0.1617784734757684,"score_spread":0.1577652681876848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066132435","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":[0.99617964,0.00018256345,0.000009221012,0.0020645324,0.00017486562,0.00024003777,0.000010970238,0.000021330134,0.001116842],"genre_scores_gemma":[0.9967308,0.00024587775,0.00033247052,0.00019383927,0.0012955919,0.000006367254,0.000012354951,0.000002086908,0.0011806301],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983762,0.00007110356,0.00063353864,0.00026657103,0.00022736618,0.0004252106],"domain_scores_gemma":[0.9979789,0.00036346365,0.0011455149,0.00007594303,0.00028952453,0.00014661784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027745985,0.00030572424,0.0005215269,0.000015654763,0.000366226,0.0001941471,0.0006088526,0.000055717133,0.00007741117],"category_scores_gemma":[0.00003125603,0.00006890001,0.00024923973,0.000464661,0.0003109806,0.00052265776,0.00005201663,0.0004125813,0.00001389362],"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":[0.0020099035,0.0008383002,0.7549215,0.000015734135,0.00055444945,0.00006274028,0.0024431515,0.024173936,0.06364505,0.0006777859,0.008738651,0.14191882],"study_design_scores_gemma":[0.00053651474,0.00085547316,0.96392715,0.000036673042,0.00003885968,0.00032043716,0.002175433,0.0000041707835,0.00090736756,0.00004048622,0.030876271,0.00028115165],"about_ca_topic_score_codex":0.0113294395,"about_ca_topic_score_gemma":0.038689524,"teacher_disagreement_score":0.20900568,"about_ca_system_score_codex":0.0002097192,"about_ca_system_score_gemma":0.000046154255,"threshold_uncertainty_score":0.9952542},"labels":[],"label_agreement":null},{"id":"W2067064156","doi":"10.1111/0002-9092.00219","title":"Optimal Production Tax and Quota under Time Consistent Trade Policies","year":2001,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Taxation and Compliance Studies","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":"Université Laval","funders":"","keywords":"Economics; Subsidy; Production (economics); Tariff; Incentive; Welfare; Consumption (sociology); General equilibrium theory; International economics; Tax policy; Consumption tax; Microeconomics; Export subsidy; Partial equilibrium; Commercial policy; Public economics; Ad valorem tax; Tax reform; Market economy","score_opus":0.02082663032946621,"score_gpt":0.20576526642158566,"score_spread":0.18493863609211944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067064156","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":[0.98004544,0.0007536759,0.00006644306,0.016859217,0.00026081954,0.000067047484,0.00002031219,0.000010414626,0.0019166053],"genre_scores_gemma":[0.9950491,0.0023043496,0.00096422044,0.00042507262,0.00033135345,0.0000023192576,0.000002652179,0.000008441117,0.000912497],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990003,0.000012525641,0.00059998065,0.00018030916,0.000021041988,0.00018580662],"domain_scores_gemma":[0.9986205,0.000026603371,0.0011278387,0.00008845773,0.000042205666,0.00009439938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001517064,0.00013864164,0.00045725374,0.00009894446,0.000107903004,0.0000722443,0.00011650363,0.000024654211,0.000048991224],"category_scores_gemma":[0.000034020028,0.00011333938,0.000120505516,0.00014310556,0.00021599229,0.00030996022,0.000029788318,0.000119485885,0.000055785353],"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":[0.0010170898,0.0015339105,0.4474285,0.00009278038,0.0051016198,0.0000343063,0.017745107,0.10723347,0.0031639691,0.22566812,0.12381162,0.067169525],"study_design_scores_gemma":[0.0005011141,0.0004775607,0.9519114,0.000019227238,0.000025773137,0.00080587313,0.0060181925,0.00009082596,0.00007866348,0.0013617069,0.038345348,0.0003642971],"about_ca_topic_score_codex":0.00005109497,"about_ca_topic_score_gemma":0.000015664747,"teacher_disagreement_score":0.5044829,"about_ca_system_score_codex":0.00011629078,"about_ca_system_score_gemma":0.000013877571,"threshold_uncertainty_score":0.4621846},"labels":[],"label_agreement":null},{"id":"W2067098066","doi":"10.1111/j.0002-9092.2004.00612.x","title":"The Fast Decay Process in Outdoor Recreational Activities and the Use of Alternative Count Data Models","year":2004,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"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":"Count data; Recreation; Popularity; Econometrics; Process (computing); Econometric model; Variable (mathematics); Statistics; Computer science; Economics; Mathematics; Ecology; Psychology; Biology","score_opus":0.10828567011030292,"score_gpt":0.23052992237188508,"score_spread":0.12224425226158216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067098066","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":[0.99673223,0.00039135665,0.00046784102,0.0017986599,0.000106975094,0.00013190934,0.00012223041,0.0000013522832,0.0002474122],"genre_scores_gemma":[0.9947595,0.004396375,0.00061312,0.000102547056,0.00006980667,0.000005413817,0.000014082443,0.0000068351433,0.00003233218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99891096,0.000026369458,0.00074080477,0.00016507873,0.000029947823,0.0001268123],"domain_scores_gemma":[0.9980993,0.00025583498,0.0014115571,0.00016928921,0.000024277435,0.00003968905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006103684,0.00010937768,0.00037218854,0.000052223324,0.00008622655,0.000085762156,0.00035483672,0.000022614633,0.0000059292],"category_scores_gemma":[0.000042763044,0.000064232336,0.0000615332,0.000063890555,0.00049311336,0.0012594847,0.00007726227,0.00013802569,0.0000030562887],"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":[0.00035824243,0.00011016938,0.03955148,0.000008575289,0.00033629936,7.370253e-7,0.0056141005,0.7644351,0.000009671214,0.18228918,0.00008145246,0.007204992],"study_design_scores_gemma":[0.008225888,0.0006484243,0.80973816,0.00013957302,0.00008426966,0.00020354136,0.031404216,0.04228687,0.00038321636,0.104329,0.0018031507,0.00075369806],"about_ca_topic_score_codex":0.0004544366,"about_ca_topic_score_gemma":0.00019473644,"teacher_disagreement_score":0.77018666,"about_ca_system_score_codex":0.00021805425,"about_ca_system_score_gemma":0.000035692963,"threshold_uncertainty_score":0.26193184},"labels":[],"label_agreement":null},{"id":"W2067870526","doi":"10.1093/ajae/aar123","title":"Multiple‐Regime Spatial Price Transmission with an Application to Maize Markets in Southern Africa","year":2011,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Development Research Centre","funders":"Michigan State University","keywords":"Economics; Transmission (telecommunications); Magnitude (astronomy); Government (linguistics); Econometrics; Monetary economics; Computer science; Telecommunications","score_opus":0.020412518596588006,"score_gpt":0.17279544787614431,"score_spread":0.15238292927955632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067870526","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":[0.98911583,0.000084733045,0.004697118,0.0004261411,0.00010477676,0.00024789793,0.000055785902,0.0000147756045,0.0052529327],"genre_scores_gemma":[0.9869031,0.00012139932,0.0125391185,0.00017449504,0.00013999948,0.00001252258,0.0000083402365,0.000025998712,0.0000750847],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981363,0.000027495558,0.0010265218,0.0003843102,0.000031105923,0.0003943031],"domain_scores_gemma":[0.998195,0.000038832062,0.001118131,0.00023118104,0.000057754194,0.0003591342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040211648,0.0002508594,0.0006677858,0.00023062108,0.000055909237,0.000057583085,0.00047802553,0.00007279434,0.000089514],"category_scores_gemma":[0.00001692711,0.00020528617,0.00014008515,0.00027523434,0.00008070116,0.00055350666,0.000028241708,0.00022319135,0.00016137351],"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":[0.010594241,0.00358171,0.60219634,0.000096765034,0.0010928883,0.00007752632,0.08134766,0.026768634,0.0012136099,0.026775058,0.0008560795,0.24539949],"study_design_scores_gemma":[0.0025143744,0.0028031536,0.96315,0.000055407585,0.00003170864,0.00021374649,0.0099380165,0.0019182551,0.0002518037,0.0028338367,0.015235138,0.0010545265],"about_ca_topic_score_codex":0.0011560356,"about_ca_topic_score_gemma":0.00040326276,"teacher_disagreement_score":0.3609537,"about_ca_system_score_codex":0.00025731357,"about_ca_system_score_gemma":0.000034277004,"threshold_uncertainty_score":0.8371327},"labels":[],"label_agreement":null},{"id":"W2072546144","doi":"10.1111/j.1467-8276.2007.00962.x","title":"Recovering the Shadow Value of Nutrients","year":2007,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canada Research Chairs","keywords":"Shadow (psychology); Shadow price; Nutrient; Value (mathematics); Economics; Econometrics; Entropy (arrow of time); Environmental science; Unit (ring theory); Mathematics; Statistics; Ecology; Thermodynamics; Mathematical optimization; Physics; Biology; Psychology","score_opus":0.0103122698138029,"score_gpt":0.19014948478995572,"score_spread":0.17983721497615282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072546144","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":[0.9895666,0.00045166488,0.0014539068,0.0006514335,0.00076885085,0.00009121253,0.000041728035,0.000005505868,0.006969089],"genre_scores_gemma":[0.9970089,0.0006999804,0.001583959,0.00019861937,0.00033239776,9.4337355e-7,0.0000023228913,0.000014730479,0.00015813211],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9980513,0.000013751804,0.0014309109,0.00018007928,0.000024104833,0.00029986366],"domain_scores_gemma":[0.99682766,0.00017282166,0.0025844045,0.00021696922,0.000077846846,0.00012032057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012645914,0.00016176364,0.0006482241,0.00012414863,0.00007877427,0.00004408529,0.0005069241,0.00004573899,0.0000506643],"category_scores_gemma":[0.00006400437,0.00011413774,0.0003310891,0.00017200611,0.00021683406,0.00037538906,0.00006798189,0.00021299568,0.000029623085],"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":[0.00022700186,0.00013971482,0.028354827,0.000017085767,0.00049455423,0.0000033542055,0.0023955514,0.011328135,0.0002137407,0.9405859,0.00067827146,0.015561828],"study_design_scores_gemma":[0.003711124,0.0028953368,0.72165805,0.00015631397,0.00012730803,0.00076241675,0.02553101,0.00076130265,0.005476265,0.15813614,0.07908295,0.0017017892],"about_ca_topic_score_codex":0.00022140994,"about_ca_topic_score_gemma":0.000027575212,"teacher_disagreement_score":0.7824498,"about_ca_system_score_codex":0.00019302411,"about_ca_system_score_gemma":0.000025326432,"threshold_uncertainty_score":0.4654402},"labels":[],"label_agreement":null},{"id":"W2081104233","doi":"10.1111/1467-8276.00253","title":"Female Participation and Labor Market Attachment in Rural Canada","year":2002,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":28,"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":"Socioeconomic status; Demographic economics; Panel data; Economics; Labour economics; Rural area; Political science; Demography; Econometrics; Sociology; Population","score_opus":0.007615479200808819,"score_gpt":0.19107002082088653,"score_spread":0.1834545416200777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081104233","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":[0.9943762,0.00010936634,3.8032578e-8,0.0050168717,0.000087676985,0.000076924945,0.000007211022,0.000003532024,0.0003222113],"genre_scores_gemma":[0.9990559,0.00032525658,0.00006194182,0.00023226818,0.00008880852,0.0000027667222,0.000003863582,4.806691e-7,0.00022867038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999139,0.00006482914,0.00039496875,0.000103258586,0.00007919202,0.0002187669],"domain_scores_gemma":[0.9993845,0.00010680678,0.0002806459,0.000022019183,0.000078565514,0.00012744765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016592884,0.00010993514,0.0002472716,0.000010832004,0.00006097452,0.000041434596,0.00011826697,0.000021032427,0.00019709906],"category_scores_gemma":[0.000030888823,0.000040319967,0.00004236706,0.0001764435,0.00006003905,0.000222671,0.000028648037,0.00010021828,0.0000011685702],"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":[0.000036094236,0.000059571183,0.853994,0.0000038435546,0.000022229835,0.0000074065797,0.00034060335,0.00006176977,0.0005647428,0.00006551578,0.0025502185,0.14229402],"study_design_scores_gemma":[0.00013282875,0.00019997482,0.9915157,0.000008816714,0.0000052514774,0.000018190085,0.0053401496,0.00005083479,0.00008824397,0.000029338838,0.0024880096,0.00012263832],"about_ca_topic_score_codex":0.024619585,"about_ca_topic_score_gemma":0.16531277,"teacher_disagreement_score":0.14217138,"about_ca_system_score_codex":0.00023333676,"about_ca_system_score_gemma":0.00001842814,"threshold_uncertainty_score":0.98187554},"labels":[],"label_agreement":null},{"id":"W2086312192","doi":"10.1093/ajae/82.3.782","title":"Graham, Edward M., and J. David Richardson, eds. <i>Global Competition Policy</i>. Washington DC: Institute for International Economics, 1997, 616 pp., price unknown","year":2000,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Local Government Finance and Decentralization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Competition (biology); Citation; Competition policy; Sociology; Art history; Economics; Political science; Art; Law; Biology; Ecology; Microeconomics","score_opus":0.0064415354284175245,"score_gpt":0.24074006077092622,"score_spread":0.2342985253425087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086312192","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":[0.9807457,0.00023568944,0.00028871643,0.012832125,0.0010473676,0.00020601173,0.00017810831,0.000018957684,0.0044473666],"genre_scores_gemma":[0.9453223,0.04727299,0.0023164419,0.0016439169,0.0027620867,0.000007394371,0.00011679483,0.000011969987,0.0005461061],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987713,0.000047309677,0.0005382989,0.00020895136,0.00013065756,0.00030346552],"domain_scores_gemma":[0.9987652,0.000053248594,0.00070060126,0.00007115003,0.00020563937,0.00020421119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030124784,0.00016293448,0.00032190923,0.000037389254,0.00025967276,0.00022282962,0.00031643122,0.00006220092,0.000046933183],"category_scores_gemma":[0.000093572504,0.000134436,0.00014731668,0.00017019086,0.00034808583,0.0012683775,0.000029479403,0.00010355365,0.00000957496],"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":[0.0006915759,0.00039718187,0.012173617,0.000024633777,0.00049715885,0.000004526205,0.005270909,0.017725024,0.000070882576,0.54230726,0.028701762,0.39213544],"study_design_scores_gemma":[0.0008353944,0.00028062207,0.02642121,0.000036053192,0.00004057533,0.000036539775,0.0014933303,0.0001574635,0.000052256335,0.0023515588,0.96800846,0.00028655448],"about_ca_topic_score_codex":0.0012263146,"about_ca_topic_score_gemma":0.001051106,"teacher_disagreement_score":0.9393067,"about_ca_system_score_codex":0.00080782,"about_ca_system_score_gemma":0.00023276938,"threshold_uncertainty_score":0.54821414},"labels":[],"label_agreement":null},{"id":"W2087396226","doi":"10.1111/0002-9092.00003","title":"Rent Sharing in Multi‐Site Hog Production","year":2000,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Franchising Strategies and Performance","field":"Business, Management and Accounting","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":"Agriculture and Agri-Food Canada","funders":"","keywords":"Franchise; Alliance; Business; Industrial organization; Profit (economics); Offset (computer science); Organizational structure; Production (economics); Vertical integration; Agricultural science; Economics; Marketing; Microeconomics; Geography; Computer science; Environmental science","score_opus":0.01104046417526868,"score_gpt":0.19536661733562505,"score_spread":0.18432615316035636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087396226","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":[0.99675536,0.000060786144,0.0000028611514,0.0010364403,0.00038244663,0.000051560273,4.7769163e-7,0.000010691873,0.0016993486],"genre_scores_gemma":[0.9975991,0.00035080788,0.00034748067,0.00026489946,0.0011828053,0.0000010541696,0.0000040090276,0.000007083015,0.00024272194],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999274,0.000003258738,0.000373928,0.00013132009,0.000047467372,0.00017003695],"domain_scores_gemma":[0.99942714,0.0000054758193,0.00041745082,0.000077888886,0.00005994455,0.0000121198555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001582485,0.00010916644,0.00021611853,0.00009416836,0.00006206211,0.00016089849,0.00016576154,0.000017072785,0.00010319633],"category_scores_gemma":[0.000008386048,0.00007640012,0.00007533568,0.00022981026,0.000048808724,0.0014202993,0.000019405936,0.00015933852,0.00006934233],"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":[0.00041092493,0.00033421343,0.24853663,0.000106135805,0.00011328684,0.000016974938,0.0009432101,0.28776744,0.0017393103,0.0011509523,0.004377605,0.45450333],"study_design_scores_gemma":[0.00052171963,0.00006468389,0.9757091,0.000109535475,0.000022132748,0.00006844811,0.0011338089,0.002266329,0.000051995125,0.00009398964,0.019688316,0.0002699711],"about_ca_topic_score_codex":0.00044619403,"about_ca_topic_score_gemma":0.00022086977,"teacher_disagreement_score":0.72717243,"about_ca_system_score_codex":0.00006220399,"about_ca_system_score_gemma":0.000009310753,"threshold_uncertainty_score":0.31155065},"labels":[],"label_agreement":null},{"id":"W2088446272","doi":"10.1111/j.0002-9092.2004.00659.x","title":"Panel Estimates of the Canadian Rural/Urban Women's Wage Gap","year":2004,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":17,"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":"Wage; Economics; Sample (material); Demographic economics; Estimation; Rural area; Panel data; Labour economics; Socioeconomics; Econometrics; Political science","score_opus":0.015142220584775937,"score_gpt":0.17490286609231104,"score_spread":0.1597606455075351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088446272","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":[0.99020857,0.00023246142,0.00003084269,0.0066409605,0.00035207212,0.000083553474,0.00008730822,0.00000413986,0.002360097],"genre_scores_gemma":[0.9981542,0.000407636,0.000612479,0.00050600857,0.00018985625,0.0000037989344,0.0000056241493,0.000016359601,0.000104020706],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9981576,0.000013280174,0.0012069143,0.00019128634,0.000037942293,0.00039292744],"domain_scores_gemma":[0.99707377,0.000048228034,0.0021980717,0.000249121,0.00011546731,0.00031535944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000358384,0.00021572845,0.0008547389,0.00022642344,0.00017934253,0.0001024027,0.0006665086,0.00006388892,0.00008625453],"category_scores_gemma":[0.00006485575,0.00015002869,0.000496989,0.0003150953,0.00032176668,0.00032514185,0.00005365301,0.00023607886,0.000049324386],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009841519,0.00029154425,0.20562817,0.000031363164,0.00205494,0.000012458774,0.0060285395,0.113955215,0.00029458315,0.6640392,0.0014082367,0.006157369],"study_design_scores_gemma":[0.0016613909,0.0008498461,0.8913231,0.000084711595,0.000088324676,0.00024749516,0.006279626,0.0003627391,0.0005882496,0.086768754,0.010765365,0.0009803801],"about_ca_topic_score_codex":0.065829694,"about_ca_topic_score_gemma":0.028655246,"teacher_disagreement_score":0.68569493,"about_ca_system_score_codex":0.0010801214,"about_ca_system_score_gemma":0.00022148949,"threshold_uncertainty_score":0.9890693},"labels":[],"label_agreement":null},{"id":"W2092007073","doi":"10.1093/ajae/aas109","title":"Personal Values and Decision Making: Evidence from Environmental Footprint Labeling in Canada","year":2012,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":49,"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":"Footprint; Ecological footprint; Business; Natural resource economics; Environmental resource management; Economics; Geography; Political science; Sustainable development; Law; Archaeology","score_opus":0.007222814918349185,"score_gpt":0.21471458926615217,"score_spread":0.20749177434780297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092007073","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":[0.9991278,0.00029023012,0.000014035378,0.00031791072,0.00014680381,0.00005873921,0.0000043510063,0.0000013197011,0.000038807404],"genre_scores_gemma":[0.99496526,0.00034542973,0.004424362,0.0001856305,0.00006476842,0.0000013595395,0.0000010140699,0.0000048202646,0.000007350711],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908817,0.000047826277,0.0003529241,0.00014852897,0.00013704388,0.00022548644],"domain_scores_gemma":[0.99923617,0.0002162161,0.00028839684,0.00007206642,0.0000024738833,0.00018469922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023813761,0.000118971,0.00020149742,0.000017055632,0.000054005144,0.000019063504,0.00014379743,0.000017210974,0.00033073113],"category_scores_gemma":[0.000042789412,0.00008837192,0.0000430639,0.000053132662,0.00017754396,0.00038866457,0.00012034499,0.00015764106,0.000008230326],"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":[0.00002731835,0.000041120835,0.9189839,7.650497e-7,0.0000075870425,0.0000011122296,0.0019109435,0.0015383975,0.0007835257,9.863352e-7,0.000048840127,0.076655544],"study_design_scores_gemma":[0.00011364882,0.000053711432,0.9764166,0.000021298725,0.000008800906,0.00004123417,0.02276813,0.00010159804,0.00014490538,0.000088485074,0.00011905351,0.00012257525],"about_ca_topic_score_codex":0.13322876,"about_ca_topic_score_gemma":0.06056599,"teacher_disagreement_score":0.07653297,"about_ca_system_score_codex":0.0027707922,"about_ca_system_score_gemma":0.000051660467,"threshold_uncertainty_score":0.9565762},"labels":[],"label_agreement":null},{"id":"W2092083630","doi":"10.1111/j.0092-5853.2003.00546.x","title":"Short‐ versus Long‐Run Implications of Trade Liberalization for Poverty in Three Developing Countries","year":2003,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Session (web analytics); Agriculture; Library science; Liberalization; Principal (computer security); Political science; Management; Economics; History; Business; Law; Computer science; Archaeology","score_opus":0.04642295236663745,"score_gpt":0.22896078737571798,"score_spread":0.18253783500908052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092083630","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":[0.99201936,0.00033267448,0.0027554005,0.002587037,0.0004562672,0.0001968529,0.000134272,0.000005897306,0.0015122703],"genre_scores_gemma":[0.9921199,0.001580583,0.0058384296,0.00033518893,0.0000751741,0.000008742609,0.000015884356,0.00001490361,0.000011192873],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99822724,0.000011669342,0.0012661943,0.00020885108,0.0000172749,0.0002687871],"domain_scores_gemma":[0.9984563,0.00014373296,0.0011162574,0.0001379271,0.000061328865,0.000084459454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032049866,0.00016772875,0.00065069064,0.00016078647,0.00005687671,0.00005183306,0.00025214063,0.00006474365,0.000016860015],"category_scores_gemma":[0.000084973435,0.00015945148,0.00021067203,0.0002255039,0.00008991744,0.00050116394,0.000014330088,0.000104216444,0.000006042476],"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":[0.00018119293,0.00010017195,0.23441234,0.000032184318,0.00026100888,6.1231344e-7,0.0004484617,0.009679232,0.000016327389,0.7518913,0.0006777741,0.0022993719],"study_design_scores_gemma":[0.0016099386,0.00042693067,0.9624116,0.00002855722,0.000028017263,0.000047416197,0.0006377409,0.00010761372,0.0003641144,0.02092911,0.012997372,0.00041161894],"about_ca_topic_score_codex":0.000044381854,"about_ca_topic_score_gemma":0.00032389283,"teacher_disagreement_score":0.7309622,"about_ca_system_score_codex":0.00039959978,"about_ca_system_score_gemma":0.000069379676,"threshold_uncertainty_score":0.6502242},"labels":[],"label_agreement":null},{"id":"W2096972785","doi":"10.1093/ajae/aau098","title":"Farmland Protection and Agricultural Land Values at the Urban‐Rural Fringe: British Columbia's Agricultural Land Reserve","year":2014,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Trinity Western University","funders":"Agriculture and Agri-Food Canada","keywords":"Zoning; Agricultural land; Agriculture; Residence; Land use; Subdivision; Agricultural economics; Geography; Land Values; Business; Economics; Ecology","score_opus":0.008106333324478686,"score_gpt":0.1658670496862441,"score_spread":0.15776071636176542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096972785","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":[0.991954,0.000508972,0.00002364669,0.0016637978,0.00076563907,0.0003127105,0.00006687726,0.000033741173,0.0046706],"genre_scores_gemma":[0.9947565,0.0017845521,0.00021988055,0.00015906525,0.0012142154,0.000015935339,0.000036709767,0.000030228586,0.0017828799],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975635,0.00010813262,0.0012616308,0.00044039762,0.00006816756,0.0005581651],"domain_scores_gemma":[0.99720675,0.00016781344,0.0019458977,0.00024350324,0.00015868155,0.00027737475],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00093701214,0.0003249588,0.0009891989,0.00007725781,0.0006183053,0.0012027681,0.00046103005,0.00012412871,0.0000807901],"category_scores_gemma":[0.00015734688,0.00026369264,0.00034634315,0.0002508593,0.00037856182,0.00093039346,0.00019307343,0.00048108437,0.000059104976],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002214694,0.00018209583,0.9403676,0.000077658355,0.0007719287,0.000008286038,0.001999586,0.0038654886,0.00025066466,0.00056880474,0.023790853,0.02789558],"study_design_scores_gemma":[0.0011713301,0.00058067514,0.98306,0.00005876812,0.000053177413,0.0010821812,0.0016024207,0.00030549665,0.000025886642,0.00073845335,0.010720561,0.00060103415],"about_ca_topic_score_codex":0.010735985,"about_ca_topic_score_gemma":0.017738476,"teacher_disagreement_score":0.042692427,"about_ca_system_score_codex":0.0004024412,"about_ca_system_score_gemma":0.000021342,"threshold_uncertainty_score":0.9999815},"labels":[],"label_agreement":null},{"id":"W2098711823","doi":"10.1111/0002-9092.00030","title":"Efficient Redistribution Using Quotas and Subsidies in the Presence of Misrepresentation and Cheating","year":2000,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Subsidy; Misrepresentation; Cheating; Redistribution (election); Economics; Redistribution of income and wealth; Public economics; Microeconomics; Market economy; Public good; Law; Political science","score_opus":0.0189313270742883,"score_gpt":0.21976220901959354,"score_spread":0.20083088194530524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098711823","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":[0.99719214,0.0004459433,0.00002138739,0.0007627833,0.00004357097,0.000069713795,0.000028108623,0.0000014517165,0.0014348967],"genre_scores_gemma":[0.99934834,0.000162043,0.0003397474,0.000054473385,0.00008451067,0.0000010007542,0.0000021789515,0.0000034119496,0.000004299176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990278,0.000028079334,0.0006603992,0.00013039426,0.000016053938,0.00013731194],"domain_scores_gemma":[0.99909776,0.00010333019,0.0006689334,0.000069302834,0.000018763962,0.000041893367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045783163,0.00008812114,0.00032489505,0.00006963744,0.000055825087,0.000040893123,0.00011217289,0.000025689575,0.000008344747],"category_scores_gemma":[0.00005610358,0.000065557426,0.00005401242,0.00011748092,0.00019900943,0.00017067141,0.000016862943,0.00011118833,0.0000014066378],"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":[0.0005470105,0.0004597651,0.67029554,0.00016862233,0.00039980272,0.000009672983,0.04265964,0.103515595,0.0017107921,0.13371412,0.0004108728,0.04610857],"study_design_scores_gemma":[0.00059029,0.00023931237,0.966726,0.000040951334,0.000015832227,0.00021981876,0.007816575,0.015061777,0.00019108494,0.0088072065,0.00010267795,0.00018847325],"about_ca_topic_score_codex":0.00026214792,"about_ca_topic_score_gemma":0.000014358899,"teacher_disagreement_score":0.29643047,"about_ca_system_score_codex":0.00006035123,"about_ca_system_score_gemma":0.000008625388,"threshold_uncertainty_score":0.2673354},"labels":[],"label_agreement":null},{"id":"W2098829572","doi":"10.1093/ajae/aau082","title":"On Technological Change in Crop Yields","year":2014,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":64,"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":"Heteroscedasticity; Yield (engineering); Econometrics; Variance (accounting); Constant (computer programming); Distribution (mathematics); Technological change; Climate change; Component (thermodynamics); Crop yield; Statistics; Mathematics; Economics; Environmental science; Computer science; Ecology; Thermodynamics","score_opus":0.011152499399056381,"score_gpt":0.20293917387247823,"score_spread":0.19178667447342185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098829572","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":[0.99550456,0.000059272086,0.000002159099,0.0035144952,0.0001399392,0.000106605316,0.000004241121,0.000022282897,0.00064645585],"genre_scores_gemma":[0.9983867,0.00032014636,0.00017820281,0.00063084427,0.00043343124,0.000005737466,0.0000044421045,8.871915e-7,0.00003962889],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99873286,0.00009979279,0.00048162526,0.00022791461,0.00012593511,0.00033187753],"domain_scores_gemma":[0.9988165,0.00038236912,0.00051922805,0.000049888047,0.00008041317,0.00015160172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030765685,0.00020294863,0.0004372842,0.000032897497,0.000089051086,0.000051054085,0.0004932958,0.00010114397,0.00005659628],"category_scores_gemma":[0.00011327644,0.000056279016,0.00018410399,0.00042624556,0.00022484906,0.0002499966,0.000057756773,0.0003779131,0.00003483362],"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":[0.000126365,0.000244527,0.024590908,0.0000025757959,0.000023492894,0.0000107963,0.00018311305,0.00087342673,0.01530693,0.0062733307,0.000401149,0.95196337],"study_design_scores_gemma":[0.00018352299,0.00205741,0.9915027,0.00004357796,0.000008010571,0.00012723863,0.0010687765,0.000041928975,0.0010619207,0.0004923678,0.003153438,0.00025909324],"about_ca_topic_score_codex":0.00014156026,"about_ca_topic_score_gemma":0.00030528897,"teacher_disagreement_score":0.9669118,"about_ca_system_score_codex":0.00008616661,"about_ca_system_score_gemma":0.0000048729876,"threshold_uncertainty_score":0.22949916},"labels":[],"label_agreement":null},{"id":"W2102212534","doi":"10.1111/j.1467-8276.2006.00914.x","title":"Labeling Context and Reference Point Effects in Models of Food Attribute Demand","year":2006,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":79,"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":"Context (archaeology); Set (abstract data type); Point (geometry); Product (mathematics); Econometrics; Observable; Food labeling; Computer science; Economics; Mathematics; Food science","score_opus":0.033920729302083744,"score_gpt":0.1816647422114418,"score_spread":0.14774401290935807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102212534","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":[0.9968481,0.0015307935,0.00053998455,0.00020994889,0.00008500634,0.00009939409,0.000036927362,0.0000027413644,0.00064708013],"genre_scores_gemma":[0.99790984,0.00081636914,0.001106886,0.000072367904,0.00005276748,0.000002661412,0.000008480005,0.0000086468835,0.000021965225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998631,0.000020836864,0.0009811476,0.00017969712,0.000017618633,0.0001697018],"domain_scores_gemma":[0.99846566,0.00009053148,0.0012800235,0.00008428762,0.00001984538,0.000059649537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039125947,0.00013453551,0.0006052983,0.00012223536,0.00002871405,0.000025341093,0.00012266848,0.000045540968,0.00001083447],"category_scores_gemma":[0.00001700439,0.00012151061,0.0000862023,0.00007872649,0.00011318575,0.00049794494,0.000037153713,0.0001342287,0.000008441828],"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":[0.00009901244,0.00027615498,0.5397174,0.000072369956,0.00025285108,0.0000035281191,0.0010723396,0.21659003,0.00070359674,0.23101412,0.00021476978,0.009983851],"study_design_scores_gemma":[0.0016474448,0.0009138708,0.9623967,0.00006504437,0.00002077856,0.000057702404,0.001436076,0.0019603267,0.00090410025,0.030194849,0.00008189087,0.0003212335],"about_ca_topic_score_codex":0.00034707313,"about_ca_topic_score_gemma":0.00012704682,"teacher_disagreement_score":0.4226793,"about_ca_system_score_codex":0.00018539956,"about_ca_system_score_gemma":0.000010684353,"threshold_uncertainty_score":0.49550587},"labels":[],"label_agreement":null},{"id":"W2102333306","doi":"10.1111/j.1467-8276.2007.01016.x","title":"Strike When the Force Is with You: Optimal Stopping with Application to Resource Equilibria","year":2007,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Capital Investment and Risk Analysis","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":"McGill University","funders":"Foundation for Community Association Research","keywords":"Non-renewable resource; Economic rent; Resource (disambiguation); Economics; Microeconomics; Investment (military); Value (mathematics); Optimal stopping; Natural resource economics; Present value; Path (computing); Finance; Computer science; Financial economics; Renewable energy","score_opus":0.008007514831341487,"score_gpt":0.1875831639434542,"score_spread":0.1795756491121127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102333306","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":[0.98705876,0.0005412238,0.0054160557,0.005141363,0.000041240295,0.00017928658,0.000020561409,0.000009987629,0.0015915356],"genre_scores_gemma":[0.991166,0.00023916131,0.0058556944,0.0014980029,0.000317883,0.000004931287,0.000009310666,0.000020627485,0.00088836515],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986286,0.000010429163,0.00072724675,0.00026520362,0.000053582073,0.00031490152],"domain_scores_gemma":[0.9980675,0.0000686379,0.0013406659,0.00023775808,0.0000878185,0.00019763979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005274479,0.00019528906,0.000493847,0.00017128329,0.00013715177,0.00013557708,0.0004026505,0.000034665514,0.000031323103],"category_scores_gemma":[0.000009820659,0.000109681765,0.0001672906,0.00038316695,0.0001585541,0.00035819126,0.000047442656,0.00019489884,0.000042853804],"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":[0.004596309,0.00076143077,0.13878958,0.000055711967,0.006679261,0.000047340574,0.047512297,0.1960202,0.0020216797,0.5111255,0.026760982,0.06562972],"study_design_scores_gemma":[0.0048760697,0.010758733,0.47010893,0.0001818662,0.000708399,0.0012333785,0.074519165,0.00700698,0.0032749642,0.00596936,0.41793233,0.0034298378],"about_ca_topic_score_codex":0.00020489965,"about_ca_topic_score_gemma":0.00011927423,"teacher_disagreement_score":0.5051561,"about_ca_system_score_codex":0.00020649914,"about_ca_system_score_gemma":0.000023595512,"threshold_uncertainty_score":0.44726926},"labels":[],"label_agreement":null},{"id":"W2106102140","doi":"10.1111/j.1467-8276.2008.01149.x","title":"Economic Development Prospects of Forest‐Dependent Communities: Analyzing Trade‐offs Using a Compromise‐Fuzzy Programming Framework","year":2008,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Optimization and Mathematical Programming","field":"Engineering","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 Victoria; University of British Columbia","funders":"","keywords":"Compromise; Weighting; Fuzzy logic; Diversification (marketing strategy); Rule of thumb; Economics; Computer science; Environmental economics; Natural resource economics; Business; Artificial intelligence; Marketing; Sociology; Algorithm","score_opus":0.016333784997525125,"score_gpt":0.21884270775520187,"score_spread":0.20250892275767673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106102140","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":[0.9900159,0.00013439011,0.009256903,0.000035324418,0.00017187143,0.00018544197,0.0000027332283,0.00004476506,0.0001526197],"genre_scores_gemma":[0.81555605,0.00017950333,0.18413316,0.000013132648,0.00008313786,0.000003915679,0.0000042772886,0.000023073944,0.0000037734073],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985098,0.000029891895,0.0009838309,0.00009540256,0.0000890833,0.00029194832],"domain_scores_gemma":[0.9988786,0.00012138739,0.0006444118,0.00013220994,0.00005406283,0.00016931331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015517,0.00022624369,0.00064303714,0.00012815364,0.00012905839,0.00005387025,0.0002795239,0.00005690542,0.000012962204],"category_scores_gemma":[0.000014895331,0.00018244042,0.00017264696,0.00013925038,0.00018384683,0.00030840348,0.000041254672,0.00031340212,0.0000029816501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022199729,0.00010188032,0.006155402,0.000083858824,0.00040341428,0.0000058923815,0.0066413376,0.9688235,0.00015864617,0.00090235873,0.000021406773,0.016680107],"study_design_scores_gemma":[0.011569129,0.0052430565,0.24082458,0.0057159318,0.0015256514,0.010598541,0.17220467,0.5060752,0.02436792,0.0031250971,0.008977274,0.009772899],"about_ca_topic_score_codex":0.00002314802,"about_ca_topic_score_gemma":0.000033058892,"teacher_disagreement_score":0.46274826,"about_ca_system_score_codex":0.0003843943,"about_ca_system_score_gemma":0.00008060241,"threshold_uncertainty_score":0.74397045},"labels":[],"label_agreement":null},{"id":"W2109439360","doi":"10.1093/ajae/aar121","title":"Does Regulation of Manure Land Application Work Against Agglomeration Economies? Theory and Evidence from the French Hog Sector","year":2011,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Economies of agglomeration; Ceteris paribus; Manure; Externality; Productivity; Production (economics); Economics; Work (physics); Natural resource economics; Dispersion (optics); Agricultural economics; Economic geography; Microeconomics; Ecology; Economic growth; Biology","score_opus":0.01729462192506248,"score_gpt":0.18212038796371846,"score_spread":0.16482576603865598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109439360","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":[0.99666524,0.0007821258,0.0014184179,0.0005697804,0.00017953818,0.00009987798,0.00009350838,0.0000045561333,0.00018692875],"genre_scores_gemma":[0.99664116,0.00174095,0.0010871931,0.00016269929,0.00028291385,0.000004769412,0.00003396462,0.0000072145676,0.000039152717],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881,0.00005739714,0.000783725,0.00021117444,0.00002371587,0.000113990114],"domain_scores_gemma":[0.9972889,0.0003547187,0.0020089187,0.00021218094,0.0000714005,0.00006387638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056324014,0.00013442972,0.00043971027,0.000075714386,0.00007787207,0.000057542387,0.00026968258,0.00004748603,0.0001126596],"category_scores_gemma":[0.000096526484,0.00007408608,0.00013136656,0.00016949653,0.00013388603,0.0005597135,0.0000378208,0.000120158395,0.000017447277],"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":[0.00023647821,0.00005378601,0.9453574,0.000011993314,0.00048352694,3.9611496e-7,0.00362923,0.00095270155,0.00040601636,0.0059638163,0.0003903706,0.042514298],"study_design_scores_gemma":[0.00016625712,0.0001406081,0.9901459,0.00003976667,0.000050013423,0.0000030907554,0.00062215916,0.00016043827,0.0004957085,0.00768392,0.0003450635,0.00014707774],"about_ca_topic_score_codex":0.0018396317,"about_ca_topic_score_gemma":0.00048770467,"teacher_disagreement_score":0.04478851,"about_ca_system_score_codex":0.00006254811,"about_ca_system_score_gemma":0.000014057587,"threshold_uncertainty_score":0.30211425},"labels":[],"label_agreement":null},{"id":"W2110128425","doi":"10.1093/ajae/aap012","title":"The Value of the Initial Payment of the Canadian Wheat Board as a Signaling Device","year":2010,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Institut de Recherche et de Développement en Agroenvironnement","funders":"","keywords":"Competitor analysis; Payment; Incentive; Business; Value (mathematics); Complete information; Signaling game; Microeconomics; Commerce; Industrial organization; Economics; Marketing; Finance; Mathematics; Statistics","score_opus":0.00978389913814647,"score_gpt":0.1982479999537072,"score_spread":0.18846410081556073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110128425","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":[0.9805279,0.00032336396,0.0000012546533,0.008276695,0.0016223529,0.00021172735,0.00007167316,0.000002765748,0.008962302],"genre_scores_gemma":[0.99833035,0.0002594628,0.00023618547,0.0006350057,0.00036897894,0.0000043352093,0.0000016247176,0.000014104871,0.00014992121],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99790734,0.000055366556,0.001402464,0.0002082805,0.00006277188,0.00036376418],"domain_scores_gemma":[0.9960219,0.00023945572,0.002934512,0.00040578752,0.00019905587,0.0001992612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087791315,0.0002254464,0.00062041637,0.00007937274,0.00040157844,0.00012092943,0.0013345156,0.00010159137,0.000040264076],"category_scores_gemma":[0.00018002473,0.00010907717,0.00059463124,0.0002628834,0.0005074246,0.00026614632,0.00013529907,0.0006298907,0.000014805596],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042078024,0.0004543316,0.17030163,0.000083249965,0.003201276,0.000006114631,0.0069703315,0.00983754,0.013338811,0.7674553,0.011539556,0.016391098],"study_design_scores_gemma":[0.001319167,0.000841161,0.8683014,0.0001190343,0.00017304726,0.00035065308,0.0052397377,0.00010094797,0.018018844,0.017337104,0.08736992,0.00082896935],"about_ca_topic_score_codex":0.018111842,"about_ca_topic_score_gemma":0.069305256,"teacher_disagreement_score":0.7501182,"about_ca_system_score_codex":0.0002330962,"about_ca_system_score_gemma":0.0002962068,"threshold_uncertainty_score":0.9884266},"labels":[],"label_agreement":null},{"id":"W2111894607","doi":"10.1093/ajae/aar019","title":"Market Evidence of Packer Willingness to Pay for Traceability","year":2011,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","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":"Traceability; Willingness to pay; Pound (networking); Economics; Price premium; Business; Econometrics; Marketing; Microeconomics; Statistics; Computer science; Mathematics","score_opus":0.03484453849821808,"score_gpt":0.2290924356786372,"score_spread":0.19424789718041913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111894607","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":[0.9971693,0.00006235032,0.00002098321,0.0020361417,0.00021639711,0.00034801345,0.000058050737,0.000014779582,0.00007395083],"genre_scores_gemma":[0.99438286,0.000070655304,0.005137575,0.00013890154,0.00022557541,0.000010853172,0.0000025543757,0.000001583316,0.000029471954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983596,0.00011981445,0.0008399201,0.00027069732,0.00011430005,0.0002956396],"domain_scores_gemma":[0.997568,0.00076370174,0.0008481659,0.0000972523,0.00046960777,0.00025328086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081553136,0.0001944034,0.0005847626,0.000015012061,0.000069689515,0.000024416711,0.0005460446,0.00005408576,0.00017358399],"category_scores_gemma":[0.00034066962,0.00006155046,0.0003693725,0.00028512426,0.00019095842,0.00038590597,0.000052095405,0.00015003754,0.0000028804834],"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":[0.005688769,0.001556819,0.45111394,0.0001523425,0.00046084856,0.0000045204583,0.0058825277,0.0003959502,0.11361447,0.00039282898,0.006738282,0.4139987],"study_design_scores_gemma":[0.00012837812,0.0037151086,0.98536617,0.000057133984,0.000037033715,0.0000316886,0.0031955221,0.000013231734,0.006061603,0.00038348342,0.00079555187,0.0002151208],"about_ca_topic_score_codex":0.00018897152,"about_ca_topic_score_gemma":0.00032076272,"teacher_disagreement_score":0.5342522,"about_ca_system_score_codex":0.00009643261,"about_ca_system_score_gemma":0.000029743866,"threshold_uncertainty_score":0.2509955},"labels":[],"label_agreement":null},{"id":"W2112295864","doi":"10.1111/0002-9092.00045","title":"The Economic Threshold with a Stochastic Pest Population: A Real Options Approach","year":2000,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":68,"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","funders":"","keywords":"PEST analysis; Pest control; Randomness; Integrated pest management; Population; Economic threshold; Agriculture; Sensitivity (control systems); Mathematics; Econometrics; Agricultural engineering; Statistics; Ecology; Biology; Engineering","score_opus":0.010243581214599989,"score_gpt":0.18822614026743714,"score_spread":0.17798255905283716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112295864","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":[0.9921757,0.0018139901,0.000030667466,0.00090036285,0.00012593517,0.000112994436,0.000035607678,0.000011978174,0.0047927564],"genre_scores_gemma":[0.9890355,0.008552102,0.0009105642,0.00007575462,0.0003950653,0.00000898732,0.000025067045,0.00001699482,0.0009799658],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985631,0.000016103411,0.0008762567,0.00023856775,0.000031714717,0.00027423413],"domain_scores_gemma":[0.9984728,0.0000604072,0.001066543,0.00021558019,0.000031362648,0.00015329305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027710065,0.00019917231,0.00055461377,0.00010650933,0.00029289123,0.00022676728,0.00034993005,0.000038075457,0.0001471589],"category_scores_gemma":[0.000004890113,0.00012006363,0.00029608497,0.0001848277,0.00023905204,0.00045803495,0.000019222653,0.00020369253,0.00013449565],"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":[0.00019347268,0.00011625782,0.008543073,0.000003883086,0.000832859,0.0000025059705,0.0007086209,0.42542332,0.0000020549662,0.5590663,0.0010217656,0.004085906],"study_design_scores_gemma":[0.003581739,0.0032324283,0.86936396,0.00005970505,0.0005237842,0.001517091,0.010413482,0.055481803,0.000009451759,0.041445863,0.012040341,0.0023303505],"about_ca_topic_score_codex":0.00073457445,"about_ca_topic_score_gemma":0.00025137956,"teacher_disagreement_score":0.8608209,"about_ca_system_score_codex":0.0003787935,"about_ca_system_score_gemma":0.00003720265,"threshold_uncertainty_score":0.48960528},"labels":[],"label_agreement":null},{"id":"W2113524697","doi":"10.1111/j.1467-8276.2007.01061.x","title":"Traceability, Liability, and Incentives for Food Safety and Quality","year":2007,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":189,"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":"Social Sciences and Humanities Research Council of Canada; Giannini Foundation of Agricultural Economics","keywords":"Traceability; Business; SAFER; Food safety; Stylized fact; Incentive; Liability; Quality (philosophy); Marketing; Economics; Finance; Food science","score_opus":0.016977047752923656,"score_gpt":0.23726036938137066,"score_spread":0.220283321628447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113524697","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":[0.99604,0.00023276644,0.000024666026,0.0030515972,0.00011277228,0.00031527222,0.00012899018,0.00001939821,0.000074529395],"genre_scores_gemma":[0.99771464,0.00021394761,0.0016886456,0.00011514633,0.00024348786,0.0000019237061,0.000009238286,0.0000013025528,0.0000116755355],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9982738,0.000121819336,0.00087157456,0.00031488834,0.00009614355,0.00032179966],"domain_scores_gemma":[0.99713343,0.0016459231,0.0006651058,0.00005915861,0.00022402935,0.00027232087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022786364,0.00019770421,0.0005536202,0.000015961139,0.00017069177,0.00007423193,0.00020876806,0.00006740226,0.000011901728],"category_scores_gemma":[0.0002728395,0.00007586602,0.00018350314,0.00015439262,0.0005556473,0.0003493568,0.00008358248,0.00018415813,3.7909487e-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":[0.0018625634,0.0004655881,0.4095247,0.000062562394,0.00022184543,8.1439543e-7,0.0013259114,0.000039322375,0.01977426,0.0033039849,0.00006213424,0.5633563],"study_design_scores_gemma":[0.0003622042,0.0025583904,0.98606014,0.000009128845,0.000022774508,0.000048963007,0.006407464,0.000005596352,0.0008097256,0.00094886066,0.002556789,0.00020993176],"about_ca_topic_score_codex":0.00008160709,"about_ca_topic_score_gemma":0.0021197987,"teacher_disagreement_score":0.57653546,"about_ca_system_score_codex":0.000110847745,"about_ca_system_score_gemma":0.000013682529,"threshold_uncertainty_score":0.30937266},"labels":[],"label_agreement":null},{"id":"W2115174717","doi":"10.1111/j.0092-5853.2004.00561.x","title":"Inserting GM Products into the Food Chain: The Market and Welfare Effects of Different Labeling and Regulatory Regimes","year":2004,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":163,"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":"Welfare; Business; Food chain; Food labeling; Food science; Chemistry; Industrial organization; Economics; Biology; Market economy; Ecology","score_opus":0.006257221565785301,"score_gpt":0.17852644327778028,"score_spread":0.172269221711995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115174717","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":[0.9716507,0.0008781359,5.491534e-7,0.027182592,0.00006159615,0.00019229061,0.0000016107547,0.0000049550626,0.000027531512],"genre_scores_gemma":[0.9985782,0.00083252566,0.00026274746,0.00012365943,0.00018018558,0.0000030995732,9.559866e-7,0.000001644799,0.000016960958],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989928,0.00012863142,0.0003548791,0.00017581473,0.00013393776,0.00021392822],"domain_scores_gemma":[0.99892867,0.00032288526,0.00043432362,0.00006985691,0.00013882124,0.00010545658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035133163,0.00014802048,0.0002851747,0.000012975197,0.00026899134,0.00007856928,0.0003144828,0.00003451588,0.0000053887093],"category_scores_gemma":[0.00016809965,0.000037600566,0.00006523031,0.0001661813,0.00043655434,0.00009648159,0.000155783,0.00022692626,2.987647e-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":[0.00019369074,0.0001726755,0.0076854792,0.00011303475,0.00037871476,0.000005261662,0.005711487,0.00024231343,0.5732293,0.003889788,0.00015875518,0.4082195],"study_design_scores_gemma":[0.00027100078,0.0017093373,0.947311,0.00006270708,0.000037424506,0.000121848156,0.007508439,0.000005368436,0.04181234,0.0007091134,0.00030357897,0.00014785217],"about_ca_topic_score_codex":0.00011686459,"about_ca_topic_score_gemma":0.00014915802,"teacher_disagreement_score":0.9396255,"about_ca_system_score_codex":0.00004574429,"about_ca_system_score_gemma":0.000015108708,"threshold_uncertainty_score":0.20688911},"labels":[],"label_agreement":null},{"id":"W2119403851","doi":"10.1111/0002-9092.00183","title":"Modeling Recreation Site Choice: Do Hypothetical Choices Reflect Actual Behavior?","year":2001,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":86,"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; Canadian Forest Service","funders":"","keywords":"Recreation; Revealed preference; Aggregate (composite); Preference; Aggregate data; Econometrics; Sample (material); Test site; Statistics; Computer science; Economics; Mathematics; Ecology; Engineering; Chemistry; Biology","score_opus":0.06488143752056506,"score_gpt":0.24144307605307888,"score_spread":0.17656163853251383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119403851","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":[0.99515337,0.00037313395,0.00060373003,0.00047794217,0.0003298449,0.00012586947,0.000026427886,0.000014312355,0.0028953562],"genre_scores_gemma":[0.9946772,0.0021863314,0.0021660996,0.00018711532,0.0004960796,0.000008696593,0.00002457618,0.000023418459,0.0002304861],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981678,0.000027667595,0.0011521443,0.00031241204,0.000039469902,0.00030047682],"domain_scores_gemma":[0.99841696,0.00006943632,0.001110454,0.00017897037,0.000039805287,0.0001843539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044274266,0.00022189405,0.0005963155,0.00016443065,0.000116710406,0.0001295146,0.00026036875,0.000080780155,0.00032072607],"category_scores_gemma":[0.000055315777,0.00019971446,0.0002651323,0.0001418396,0.000116471776,0.0008811272,0.000042595304,0.00025242555,0.00031546314],"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":[0.00018021268,0.00050004356,0.7754999,0.0000100077095,0.00038105884,0.000009660615,0.0016434097,0.16903324,0.0008709289,0.011079945,0.0003622399,0.04042935],"study_design_scores_gemma":[0.0014882067,0.0010593309,0.9745278,0.000034755005,0.00010468143,0.0004888235,0.0018351258,0.009872289,0.0001257382,0.0019172487,0.007723995,0.00082205905],"about_ca_topic_score_codex":0.00021376615,"about_ca_topic_score_gemma":0.00004683318,"teacher_disagreement_score":0.19902785,"about_ca_system_score_codex":0.0005063507,"about_ca_system_score_gemma":0.000019266234,"threshold_uncertainty_score":0.81441194},"labels":[],"label_agreement":null},{"id":"W2119613640","doi":"10.1093/ajae/aat098","title":"Portfolio Speculation and Commodity Price Volatility in a Stochastic Storage Model","year":2014,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":16,"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":"Speculation; Futures contract; Economics; Portfolio; Volatility (finance); Financial economics; Cash; Mid price; Contango; Monetary economics; Price level; Finance","score_opus":0.010823424656281968,"score_gpt":0.19376512128253282,"score_spread":0.18294169662625084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119613640","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":[0.97206724,0.00007497536,0.025391532,0.00031569702,0.00012401034,0.00010560504,0.00004417827,0.000006155556,0.0018706077],"genre_scores_gemma":[0.9974861,0.000066986286,0.0022088047,0.00009623577,0.00008239267,0.0000017839587,0.000007903408,0.000009501574,0.000040286144],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846107,0.000039834627,0.0009941341,0.00025308484,0.000030087685,0.00022181279],"domain_scores_gemma":[0.99816686,0.00010965392,0.0013340601,0.00017464193,0.00006535891,0.00014943026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001119663,0.00016926313,0.00065566006,0.00015836209,0.000054414886,0.00006579701,0.00018363376,0.00005407492,0.000028158738],"category_scores_gemma":[0.00014399446,0.0001528344,0.000119146665,0.0001674734,0.00011902443,0.00042151017,0.0000547957,0.00026849745,0.0000024858941],"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":[0.0002984373,0.00039515752,0.7091304,0.000044871307,0.00016696712,0.0000027772444,0.0014630156,0.20226261,0.000041313804,0.07492357,0.0002718988,0.010998989],"study_design_scores_gemma":[0.0002954441,0.000096041746,0.42811483,0.000007172762,0.000004509151,0.000016293554,0.00007952527,0.559792,5.17932e-7,0.011368045,0.00009212964,0.0001335115],"about_ca_topic_score_codex":0.00015769395,"about_ca_topic_score_gemma":0.00011063896,"teacher_disagreement_score":0.35752937,"about_ca_system_score_codex":0.00024010801,"about_ca_system_score_gemma":0.000024447481,"threshold_uncertainty_score":0.62324065},"labels":[],"label_agreement":null},{"id":"W2120129053","doi":"10.1093/ajae/aaq061","title":"Interactions Between Incentive Instruments: Contracts and Quality in Processing Tomatoes","year":2010,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Giannini Foundation of Agricultural Economics","keywords":"Incentive; Complementarity (molecular biology); Quality (philosophy); Industrial organization; Microeconomics; Business; Profit (economics); Product (mathematics); Economics; Marketing","score_opus":0.04185579153305735,"score_gpt":0.36303186990443903,"score_spread":0.3211760783713817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120129053","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":[0.9973961,0.0000072139624,0.0001582696,0.0016593968,0.00015773822,0.000057299,0.000010076512,0.000004780414,0.00054910686],"genre_scores_gemma":[0.9984367,0.000017618788,0.0012403751,0.0000913685,0.00015383355,0.0000020796713,0.0000012684048,0.000002592354,0.00005415097],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9986991,0.00009611194,0.00082982116,0.00015077453,0.00011212222,0.00011201791],"domain_scores_gemma":[0.997674,0.0005240786,0.001364997,0.00009419545,0.00022331861,0.00011942722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009640485,0.00008539029,0.0003176136,0.00011980942,0.00011158916,0.00018077185,0.00025877624,0.000023639646,0.000035415225],"category_scores_gemma":[0.0003909198,0.00005252868,0.00006311851,0.00028439274,0.00026499783,0.0010819352,0.000042148225,0.0003309721,0.000011464154],"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":[0.000051544055,0.000095075964,0.28045726,0.000001553327,0.000041733772,5.2370154e-7,0.0018036551,0.000102374324,0.0048425486,0.007706925,0.000083746585,0.70481306],"study_design_scores_gemma":[0.00024225895,0.000052092808,0.9772725,0.0000105699255,0.000008870461,0.00005558909,0.012368632,0.000017644134,0.0009151417,0.0059774965,0.002982201,0.000097022836],"about_ca_topic_score_codex":0.000034943085,"about_ca_topic_score_gemma":0.00019011096,"teacher_disagreement_score":0.704716,"about_ca_system_score_codex":0.000043651085,"about_ca_system_score_gemma":0.000045870456,"threshold_uncertainty_score":0.21420574},"labels":[],"label_agreement":null},{"id":"W2121095445","doi":"10.1111/0002-9092.00086","title":"Constrained Efficient Contracts for Area Yield Crop Insurance","year":2000,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Yield (engineering); Payment; Crop insurance; Constraint (computer-aided design); Lump sum; Value (mathematics); Business; Actuarial science; Economics; Agriculture; Finance; Mathematics; Statistics","score_opus":0.009658425243326137,"score_gpt":0.19128958991782072,"score_spread":0.18163116467449458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121095445","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":[0.9966837,0.00018707878,0.000005570864,0.0018195983,0.00019875939,0.0002544632,0.000096822376,0.000023498313,0.000730494],"genre_scores_gemma":[0.9978649,0.0006184674,0.00034154826,0.00032077535,0.00052929914,0.0000074297377,0.000016465632,0.0000014282848,0.00029966226],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99849683,0.00003892094,0.00066033856,0.0002546716,0.00013023977,0.00041900677],"domain_scores_gemma":[0.99826616,0.0004902338,0.00066791807,0.00004919311,0.0002589676,0.00026751307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002023721,0.00025036317,0.0005292597,0.000013457159,0.00023346639,0.00010087847,0.00043853017,0.00007138432,0.00023130488],"category_scores_gemma":[0.00006598405,0.00007662936,0.0003682031,0.0002537181,0.00028340908,0.00022228947,0.000018360985,0.00020019629,0.000020380605],"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":[0.0007438628,0.00044005687,0.0076219235,0.000008906823,0.000182643,0.000011781251,0.00043024472,0.030729402,0.121467344,0.0002989515,0.002368065,0.8356968],"study_design_scores_gemma":[0.0006890264,0.002681845,0.9688568,0.00009711895,0.00005782013,0.0006433854,0.0033443375,0.0001597167,0.0048717353,0.00006258874,0.01788896,0.0006466667],"about_ca_topic_score_codex":0.00009420725,"about_ca_topic_score_gemma":0.0001069353,"teacher_disagreement_score":0.96123487,"about_ca_system_score_codex":0.00006912569,"about_ca_system_score_gemma":0.00002300793,"threshold_uncertainty_score":0.31248546},"labels":[],"label_agreement":null},{"id":"W2123540412","doi":"10.1111/1467-8276.00407","title":"The Effect of Age on the Probability of Participation in Wildlife‐Related Activities: A Birth Year Cohort Study","year":2002,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"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":"Wildlife; Waterfowl; Recreation; Logistic regression; Geography; Demography; Ecology; Habitat; Biology; Statistics; Mathematics; Sociology","score_opus":0.027209230048722482,"score_gpt":0.2033861145183524,"score_spread":0.17617688446962992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123540412","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":[0.99799013,0.000058750797,0.0000018967353,0.00038537482,0.00011140669,0.00043487683,0.000013109643,0.0000021197036,0.0010023366],"genre_scores_gemma":[0.9995424,0.00029617484,0.000020344281,0.000024081675,0.000025322743,0.000019183533,0.0000013067853,0.0000071044965,0.00006408042],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985197,0.00012924698,0.0010297949,0.0001455173,0.000035497582,0.0001401987],"domain_scores_gemma":[0.99761856,0.00045953158,0.0016900838,0.00018572764,0.000010608529,0.00003551677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014174962,0.00011853873,0.000510401,0.000061340324,0.000055798646,0.000021067803,0.00021146856,0.00002855039,0.00007973591],"category_scores_gemma":[0.00011982046,0.00006762298,0.0001479127,0.00013435815,0.00022907603,0.00017996455,0.00002598197,0.00016860431,0.000020595195],"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":[0.000053543663,0.00016427718,0.98888534,0.0000042075367,0.000137854,2.7296917e-7,0.0011192558,0.006949832,0.000010604974,0.0013891006,0.000060101018,0.0012256297],"study_design_scores_gemma":[0.00057548087,0.001767921,0.99502033,0.000011557216,0.000017397908,0.0000022259103,0.0016066796,0.0003495256,0.00010953118,0.00038621586,0.00006946108,0.00008368292],"about_ca_topic_score_codex":0.00010793557,"about_ca_topic_score_gemma":0.000051045692,"teacher_disagreement_score":0.006600307,"about_ca_system_score_codex":0.00022805286,"about_ca_system_score_gemma":0.0000048904735,"threshold_uncertainty_score":0.27575853},"labels":[],"label_agreement":null},{"id":"W2124116209","doi":"10.1111/0002-9092.00167","title":"Empirical Specification Requirements for Two‐Constraint Models of Recreation Choice","year":2001,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":57,"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":"Constraint (computer-aided design); Economics; Recreation; Econometrics; Mathematical economics; Microeconomics; Marginal utility; Observable; Specification; Mathematics","score_opus":0.16570860398225257,"score_gpt":0.27854688411141415,"score_spread":0.11283828012916158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124116209","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":[0.98604447,0.00016048735,0.009676538,0.0009948887,0.00023755689,0.00020435524,0.00005093807,0.000005322446,0.0026254435],"genre_scores_gemma":[0.9901497,0.0007818604,0.008475969,0.00012783242,0.00026966748,0.00000910503,0.000036827616,0.000013335846,0.00013571049],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826187,0.00001852575,0.0012900769,0.00021875055,0.000027899996,0.00018284887],"domain_scores_gemma":[0.9972898,0.000098601464,0.002305585,0.00014358782,0.00006444834,0.00009797325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005240053,0.00014179952,0.0005142715,0.00012614859,0.000054405224,0.000030249867,0.00020275071,0.000042806118,0.000082071725],"category_scores_gemma":[0.00004956509,0.00013226466,0.0002310862,0.00010581143,0.00013603682,0.0007123836,0.000020057047,0.0000899872,0.00002369949],"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":[0.00044624158,0.000804636,0.6384225,0.00004165554,0.0008842977,0.0000011888361,0.0024054032,0.17059101,0.0022922452,0.11741989,0.0024724917,0.06421842],"study_design_scores_gemma":[0.0027551956,0.0012398204,0.9537107,0.00004133438,0.00006940426,0.00009947162,0.0025360128,0.0070002275,0.00091045,0.025182301,0.005917002,0.0005381239],"about_ca_topic_score_codex":0.000067990695,"about_ca_topic_score_gemma":0.000012236793,"teacher_disagreement_score":0.31528813,"about_ca_system_score_codex":0.00038584988,"about_ca_system_score_gemma":0.00002249558,"threshold_uncertainty_score":0.5393596},"labels":[],"label_agreement":null},{"id":"W2126719825","doi":"10.1111/j.1467-8276.2007.01030.x","title":"Is Exchange Rate Pass‐Through in Pork Meat Export Prices Constrained by the Supply of Live Hogs?","year":2007,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Monetary Policy and Economic Impact","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":true,"ca_institutions":"Université Laval","funders":"","keywords":"Cointegration; Economics; Exchange-rate pass-through; Exchange rate; Production (economics); Econometrics; Estimator; Unit root; Agricultural economics; Degree (music); Monetary economics; Mathematics; Macroeconomics; Statistics","score_opus":0.031575052999188925,"score_gpt":0.22233924784508388,"score_spread":0.19076419484589496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126719825","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":[0.9915191,0.0013478632,0.00010888997,0.0030477361,0.00032103088,0.00018462478,0.0002544083,0.000005817447,0.0032105562],"genre_scores_gemma":[0.9948805,0.0025653604,0.00064045866,0.0013421763,0.00026967167,0.0000026109467,0.000015829495,0.00001813351,0.0002652442],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972407,0.00003295557,0.0018973558,0.00028410504,0.000034084303,0.00051079475],"domain_scores_gemma":[0.99615777,0.00027226578,0.0031305163,0.00023785199,0.000043206197,0.00015841918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013106595,0.00027908746,0.0010061886,0.00017262394,0.00007445059,0.000060598606,0.00050574477,0.00008790966,0.00039447634],"category_scores_gemma":[0.00006089498,0.00020381443,0.00033507054,0.00024316747,0.00037803708,0.0007258875,0.000051795367,0.00032382587,0.00006575837],"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":[0.0017617849,0.001470531,0.7223783,0.00020801817,0.0033077532,0.00009357288,0.08770424,0.0105862785,0.0021688698,0.03626106,0.10132662,0.032732956],"study_design_scores_gemma":[0.003209908,0.0018539983,0.9168845,0.00010264947,0.00007769594,0.00054009736,0.022566186,0.00037070893,0.0040330347,0.0049483115,0.04417922,0.0012337179],"about_ca_topic_score_codex":0.0016563849,"about_ca_topic_score_gemma":0.00017632797,"teacher_disagreement_score":0.19450617,"about_ca_system_score_codex":0.00020575082,"about_ca_system_score_gemma":0.0000347148,"threshold_uncertainty_score":0.83113116},"labels":[],"label_agreement":null},{"id":"W2130414852","doi":"10.1111/1467-8276.00118","title":"Managing Urban Deer","year":2003,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":52,"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 Victoria","funders":"","keywords":"Wildlife; Opposition (politics); Wildlife management; Population; Environmental planning; Population control; Range (aeronautics); Geography; Control (management); Environmental resource management; Ecology; Computer science; Biology; Environmental science; Political science; Engineering; Sociology; Demography; Research methodology","score_opus":0.004295510657669727,"score_gpt":0.1698287436776559,"score_spread":0.16553323301998618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130414852","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":[0.99031675,0.000013303096,0.00006767702,0.0014146272,0.00017557944,0.000027292781,2.7255493e-7,0.0000042618612,0.007980217],"genre_scores_gemma":[0.9968807,0.000053101026,0.0018193084,0.00087635446,0.000055863726,7.4034443e-7,5.6519934e-7,0.0000034424086,0.00030992564],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994683,0.000043881373,0.00023241296,0.00008239883,0.000039539893,0.00013341768],"domain_scores_gemma":[0.999478,0.000037583923,0.00034298378,0.000056032084,0.000010802157,0.00007459344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017004246,0.00007253613,0.0001416262,0.000016852662,0.00006326091,0.000016573775,0.00012633565,0.000018327666,0.00034887326],"category_scores_gemma":[0.000023303297,0.00005072854,0.00006672959,0.000097711556,0.0001284757,0.00029860076,0.000017699069,0.00010413403,0.00011663334],"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":[0.000013362519,0.000032161613,0.9741458,4.9118006e-7,0.000039569903,0.000003683085,0.00027594352,0.006124422,0.00022628992,0.0010765688,0.009472213,0.008589442],"study_design_scores_gemma":[0.00015009154,0.00015666673,0.9866902,0.0000025640245,0.000015915124,0.0001844625,0.0008522766,0.000019739286,0.00016610693,0.00050294015,0.011155175,0.00010383476],"about_ca_topic_score_codex":0.000016942657,"about_ca_topic_score_gemma":0.00003094104,"teacher_disagreement_score":0.012544375,"about_ca_system_score_codex":0.00013150103,"about_ca_system_score_gemma":0.0000100783645,"threshold_uncertainty_score":0.38199174},"labels":[],"label_agreement":null},{"id":"W2130794533","doi":"10.1093/ajae/aar009","title":"Relaxing Heteroscedasticity Assumptions in Area‐Yield Crop Insurance Rating","year":2011,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":77,"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":"Homoscedasticity; Heteroscedasticity; Crop insurance; Economics; Yield (engineering); Actuarial science; Econometrics; Sample (material); Statistics; Mathematics; Agriculture; Geography","score_opus":0.029002559337964917,"score_gpt":0.19934466260945843,"score_spread":0.17034210327149352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130794533","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":[0.99849325,0.00009966098,0.00000832803,0.0002753663,0.00021177322,0.000100281766,0.000013398093,0.000018493785,0.000779454],"genre_scores_gemma":[0.998375,0.00045443318,0.00077646726,0.00010872016,0.00022828045,0.0000036053323,0.000004104057,0.0000012520758,0.000048124606],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984706,0.00007504377,0.00073150615,0.00023809726,0.000118975724,0.00036574932],"domain_scores_gemma":[0.9985468,0.000224835,0.00085065485,0.00004838858,0.00014593256,0.00018343602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023513313,0.00021881881,0.0004438235,0.000027842394,0.00016944051,0.00006001547,0.00044017393,0.000068054724,0.00008547853],"category_scores_gemma":[0.00010083053,0.00007219402,0.00021287342,0.00040961892,0.00017817495,0.0005719578,0.00006602026,0.00038234802,0.0000144119595],"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":[0.00020029988,0.00044006392,0.7312194,0.000008893159,0.000076447985,0.000034386398,0.0023331875,0.0032447146,0.15934007,0.00029023766,0.0003071544,0.10250514],"study_design_scores_gemma":[0.00011542744,0.00061498524,0.9922452,0.000079861784,0.000010039775,0.00017583094,0.0039458536,0.000018898912,0.002370435,0.00006658745,0.000117769036,0.00023911922],"about_ca_topic_score_codex":0.00064229214,"about_ca_topic_score_gemma":0.001505686,"teacher_disagreement_score":0.2610258,"about_ca_system_score_codex":0.000104190425,"about_ca_system_score_gemma":0.000013811782,"threshold_uncertainty_score":0.29439867},"labels":[],"label_agreement":null},{"id":"W2136252054","doi":"10.1093/ajae/aaq011","title":"Understanding International Trade in Agricultural Products: One Hundred Years of Contributions by Agricultural Economists","year":2010,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":93,"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":"Agriculture; Economics; International trade; Agricultural productivity; International economics; Agricultural economics; International market; Adaptation (eye); Trade barrier; Production (economics); Agreement on Agriculture; World trade; Macroeconomics; Geography","score_opus":0.036090196540496555,"score_gpt":0.20353344650670027,"score_spread":0.16744324996620372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136252054","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":[0.98793125,0.0001924043,0.000034331613,0.006833004,0.0014560004,0.00021640111,0.00063758326,0.000015157724,0.0026838563],"genre_scores_gemma":[0.9976126,0.0005492448,0.0010636931,0.00011918951,0.0004711605,0.00000623728,0.00011830237,0.000017902245,0.000041682317],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.997034,0.000027169966,0.0019752472,0.00042149384,0.000057075165,0.00048500963],"domain_scores_gemma":[0.9968423,0.00011181194,0.002528451,0.0002119201,0.00007375681,0.00023171914],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005201427,0.00027162634,0.0010910068,0.00024722214,0.00007121157,0.00014492952,0.0007169293,0.0001522517,0.00006027141],"category_scores_gemma":[0.00017325656,0.0002797193,0.00035298942,0.00037481633,0.00030624986,0.0010517354,0.0000693455,0.0006401482,0.00003127061],"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":[0.00059539534,0.0030548712,0.08212673,0.00010644577,0.003456559,0.00002284695,0.0048395745,0.010392418,0.07382815,0.7928656,0.018914612,0.009796795],"study_design_scores_gemma":[0.002403114,0.00041912717,0.9786364,0.00004582108,0.000041717023,0.00026813918,0.0044840253,0.000058599893,0.0021514122,0.0038649319,0.006882696,0.00074403815],"about_ca_topic_score_codex":0.00019933793,"about_ca_topic_score_gemma":0.0001976491,"teacher_disagreement_score":0.89650965,"about_ca_system_score_codex":0.0008463473,"about_ca_system_score_gemma":0.000060088078,"threshold_uncertainty_score":0.9999655},"labels":[],"label_agreement":null},{"id":"W2136481553","doi":"10.1093/ajae/aav051","title":"The Natural Resource Curse and Fiscal Decentralization","year":2015,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Social Sciences and Humanities Research Council","funders":"Ministerio de Ciencia y Tecnología; Generalitat Valenciana","keywords":"Decentralization; Resource curse; Natural resource; Boom; Economics; Curse; Blessing; Resource (disambiguation); Politics; Economic system; Development economics; Public economics; Macroeconomics; Political science; Ecology; Market economy; Geography; Biology","score_opus":0.015377541701529295,"score_gpt":0.19909775555829753,"score_spread":0.18372021385676823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136481553","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":[0.9822927,0.0018765734,0.00004465537,0.007263681,0.00056894217,0.00007032759,0.000016829365,0.000009240907,0.007857012],"genre_scores_gemma":[0.9982533,0.00029818283,0.00030656118,0.00048181313,0.0004819635,0.0000015488833,0.0000052553078,0.000012010814,0.00015940363],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986858,0.000029380328,0.0007984503,0.00017451883,0.00002401119,0.00028783458],"domain_scores_gemma":[0.9983567,0.00011009722,0.0011047215,0.00012976244,0.00004867131,0.00025005706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056890666,0.00015186814,0.0004048198,0.00007179496,0.00013842009,0.00017213901,0.00029168348,0.0000399014,0.0000033289778],"category_scores_gemma":[0.00016022158,0.00010279512,0.00012622855,0.0001240878,0.00031387262,0.00045181272,0.00005825918,0.00021722965,0.000035391073],"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":[0.00045366114,0.00012982317,0.10458329,0.00001444705,0.00054438674,0.000006874192,0.00452594,0.0018512416,0.000022003176,0.7883738,0.0608794,0.038615104],"study_design_scores_gemma":[0.0026405836,0.001149418,0.48717844,0.00003091969,0.00005122244,0.00092907343,0.010556383,0.0022497298,0.000118170115,0.14064002,0.3534989,0.0009571294],"about_ca_topic_score_codex":0.000041669693,"about_ca_topic_score_gemma":0.000022903914,"teacher_disagreement_score":0.6477338,"about_ca_system_score_codex":0.00017981407,"about_ca_system_score_gemma":0.000025318344,"threshold_uncertainty_score":0.41918635},"labels":[],"label_agreement":null},{"id":"W2138717423","doi":"10.1093/ajae/aau012","title":"Capitalized Costs of Habitat Conservation Easements","year":2014,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Easement; Acre; Habitat; Habitat conservation; Agricultural land; Agriculture; Land use; Matching (statistics); Business; Natural resource economics; Agroforestry; Geography; Environmental science; Ecology; Economics; Biology; Mathematics","score_opus":0.02625508370673155,"score_gpt":0.1889658555521663,"score_spread":0.16271077184543475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138717423","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":[0.99567723,0.0001387363,0.0006607205,0.00070690445,0.00030971886,0.000086326436,0.000032891196,0.0000045615943,0.0023828999],"genre_scores_gemma":[0.9970856,0.00037454694,0.0019749724,0.0003405888,0.00010964067,0.0000025875477,0.00001954272,0.00001124129,0.000081288075],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985005,0.000031126387,0.0011204681,0.00016309437,0.00002681099,0.00015797773],"domain_scores_gemma":[0.99728143,0.00007799445,0.0023634674,0.00013260609,0.000045739598,0.00009878814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054607174,0.00013536107,0.0005658564,0.000108046464,0.000041078685,0.000026785501,0.00020242872,0.00003723181,0.00010375233],"category_scores_gemma":[0.000069617134,0.00012354854,0.00018803871,0.00008125547,0.00015193856,0.00042885015,0.00003020314,0.00009034655,0.00010104211],"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":[0.00007084726,0.00016903479,0.9161312,0.00001632705,0.00027534954,3.9220097e-7,0.0004900857,0.00416234,0.00047185976,0.07007742,0.001585768,0.0065493863],"study_design_scores_gemma":[0.0011089819,0.00061043527,0.99133056,0.000021158789,0.000023167428,0.000022969049,0.00081730395,0.00057552743,0.00045899733,0.0031023414,0.0017022447,0.00022628813],"about_ca_topic_score_codex":0.00021442135,"about_ca_topic_score_gemma":0.000041325115,"teacher_disagreement_score":0.075199395,"about_ca_system_score_codex":0.0002912509,"about_ca_system_score_gemma":0.000013150884,"threshold_uncertainty_score":0.5038163},"labels":[],"label_agreement":null},{"id":"W2138926224","doi":"10.1093/ajae/aap022","title":"The Effect of Strict Agricultural Zoning on Agricultural Land Values: The Case of Ontario's Greenbelt","year":2010,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":44,"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 Guelph","funders":"","keywords":"Zoning; Legislation; Metropolitan area; Agriculture; Agricultural economics; Boundary (topology); Geography; Land use; Land Values; Agricultural land; Environmental protection; Economics; Archaeology; Law; Political science; Ecology","score_opus":0.006052990814093039,"score_gpt":0.1846982669825664,"score_spread":0.17864527616847334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138926224","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":[0.9894875,0.00013535883,0.000004015754,0.00063343154,0.0014157551,0.00026209798,0.000051612507,0.000010436748,0.007999773],"genre_scores_gemma":[0.9986386,0.00026680512,0.0002459731,0.0000389645,0.0005108727,0.0000066360867,0.000008906078,0.00002054426,0.0002627377],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972611,0.00011261784,0.001779547,0.0003152206,0.00005932,0.00047217408],"domain_scores_gemma":[0.9941812,0.0011946143,0.0038754754,0.00039805777,0.0001705576,0.00018006533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018302911,0.0004000899,0.0012074508,0.0001269535,0.00039564184,0.00017789041,0.0008215186,0.000121737285,0.000051913874],"category_scores_gemma":[0.00027875244,0.0001896515,0.0006900448,0.00031423708,0.0005190485,0.00043364736,0.00010695479,0.00089874456,0.000022374703],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034812535,0.0007610781,0.7438801,0.00021382284,0.0052524414,0.00018595248,0.019381788,0.036985584,0.0037140418,0.05447959,0.00935942,0.122304946],"study_design_scores_gemma":[0.0023536277,0.004709886,0.9729517,0.00008548435,0.00021842455,0.0038962574,0.005304229,0.00016912926,0.0024123397,0.0008556314,0.00613163,0.00091163476],"about_ca_topic_score_codex":0.007520222,"about_ca_topic_score_gemma":0.014065221,"teacher_disagreement_score":0.22907165,"about_ca_system_score_codex":0.00036545223,"about_ca_system_score_gemma":0.00008433426,"threshold_uncertainty_score":0.99908876},"labels":[],"label_agreement":null},{"id":"W2138995940","doi":"10.1093/ajae/aas078","title":"Are Food Choices Really Habitual? Integrating Habits, Variety‐seeking, and Compensatory Choice in a Utility‐maximizing Framework","year":2012,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":89,"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":"University of Technology Sydney; Göteborgs Universitet; University of Arizona","keywords":"Variety (cybernetics); Food choice; Selection (genetic algorithm); Consumer choice; Cognition; Economics; Management science; Computer science; Microeconomics; Marketing; Psychology; Business; Artificial intelligence","score_opus":0.045421486717174255,"score_gpt":0.21803744637150949,"score_spread":0.17261595965433524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138995940","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":[0.99558985,0.0018439747,0.00043047938,0.0005047458,0.0004068487,0.0001262333,0.000028027162,0.000010425919,0.0010593944],"genre_scores_gemma":[0.9927188,0.00049441465,0.0058304146,0.0005146491,0.00038733977,0.0000059169356,0.0000056512504,0.000021129998,0.000021657946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979722,0.00005207135,0.001245231,0.0002853511,0.000034060784,0.00041110432],"domain_scores_gemma":[0.9964934,0.00027449738,0.0028225475,0.00016620924,0.000025953312,0.0002174102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095035275,0.00025250472,0.00079570874,0.00017471278,0.00011151673,0.00010018906,0.00025050092,0.00010365025,0.00006278611],"category_scores_gemma":[0.00024487553,0.00023198829,0.00016153393,0.00015047235,0.00019965839,0.0011568087,0.00009215772,0.00049061776,0.000031708973],"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":[0.000013026051,0.00008296878,0.9870371,0.00001168958,0.00008521079,4.0910354e-7,0.0011421809,0.0002680252,0.000018582814,0.008758977,0.00005839874,0.0025234006],"study_design_scores_gemma":[0.00042042948,0.00021153268,0.991162,0.000075057265,0.000015222964,0.000049738945,0.0040267883,0.00026696917,0.000020311074,0.0013476297,0.0021020605,0.00030227026],"about_ca_topic_score_codex":0.0002608867,"about_ca_topic_score_gemma":0.0003014696,"teacher_disagreement_score":0.0074113472,"about_ca_system_score_codex":0.0003887006,"about_ca_system_score_gemma":0.000016164458,"threshold_uncertainty_score":0.9460208},"labels":[],"label_agreement":null},{"id":"W2139689717","doi":"10.1111/j.0002-9092.2005.00713.x","title":"Milk by Any Other Name … Consumer Benefits from Labeled Milk","year":2005,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":109,"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":"Consumer demand; Variety (cybernetics); Business; Agricultural science; Food science; Economics; Microeconomics; Mathematics; Chemistry; Statistics; Environmental science","score_opus":0.009316534885724875,"score_gpt":0.17872668202029973,"score_spread":0.16941014713457486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139689717","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":[0.97709274,0.010568464,0.00002551505,0.004510997,0.0005681927,0.00015858107,0.0008940558,0.000029185217,0.0061522825],"genre_scores_gemma":[0.9870613,0.0049663153,0.0037958995,0.0022399712,0.0010945519,0.000007661718,0.00006500569,0.000048039918,0.00072124106],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969885,0.000035758174,0.0018173323,0.00053130876,0.000051187148,0.0005759277],"domain_scores_gemma":[0.9963004,0.00017671022,0.0026564992,0.00032374906,0.00014152858,0.0004011425],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042371496,0.00045534415,0.0013048428,0.00016311965,0.00012933461,0.00019913746,0.0007432291,0.0001636566,0.0006400835],"category_scores_gemma":[0.000055502605,0.00037569753,0.00050127466,0.00019434895,0.00020677649,0.0010245737,0.00008676934,0.00044269883,0.00076143385],"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":[0.0011650473,0.002868312,0.18937631,0.000056858767,0.009470178,0.000018910334,0.006159607,0.008073301,0.008080135,0.09068146,0.5680586,0.11599125],"study_design_scores_gemma":[0.0038027584,0.0010764953,0.17365484,0.00007833413,0.00014562851,0.00016708062,0.0017760261,0.0001436364,0.0026119628,0.002701824,0.8118777,0.0019636932],"about_ca_topic_score_codex":0.00037996002,"about_ca_topic_score_gemma":0.00019226868,"teacher_disagreement_score":0.24381909,"about_ca_system_score_codex":0.0003635083,"about_ca_system_score_gemma":0.000039436538,"threshold_uncertainty_score":0.9998695},"labels":[],"label_agreement":null},{"id":"W2139730585","doi":"10.1111/1467-8276.00304","title":"Impact of Bovine Spongiform Encephalopathy on Agribusiness in the United Kingdom: Results of an Event Study of Equity Prices","year":2002,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":79,"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":"Agribusiness; Bovine spongiform encephalopathy; Distributed lag; Equity (law); Autoregressive model; Economics; Econometrics; Benchmark (surveying); Business; Agriculture; Biology; Internal medicine; Medicine","score_opus":0.06128127207341618,"score_gpt":0.287839087628646,"score_spread":0.22655781555522983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139730585","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":[0.9986517,0.000030431991,0.000007780537,0.00025443613,0.00009940252,0.00017968578,0.00011380662,0.000002357362,0.00066042173],"genre_scores_gemma":[0.99966806,0.000088730536,0.000099689074,0.000049669776,0.000063809326,0.0000017041389,0.000014384848,0.0000070992096,0.000006866226],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99762315,0.00004915933,0.0018948206,0.00017253368,0.000074736374,0.00018558647],"domain_scores_gemma":[0.99513286,0.00013126862,0.0042046113,0.00024328577,0.00023357267,0.00005441852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010569149,0.00016804344,0.00074337044,0.00051358325,0.000031412048,0.000024067805,0.00053699856,0.00003797873,0.00003404288],"category_scores_gemma":[0.00014298152,0.00010435302,0.0001847303,0.0012066913,0.00012248204,0.00037686905,0.000045566536,0.00020295689,0.0000030114606],"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":[0.004400126,0.019651145,0.7258215,0.0001252256,0.0013625268,0.00003116264,0.041566443,0.13916023,0.0008096608,0.04446288,0.0008094437,0.021799644],"study_design_scores_gemma":[0.001627346,0.0065995026,0.9871545,0.00003077138,0.00001265571,0.000024588246,0.003495569,0.0005630827,0.00008034189,0.00018850877,0.00008128348,0.00014186332],"about_ca_topic_score_codex":0.0018025357,"about_ca_topic_score_gemma":0.00012539295,"teacher_disagreement_score":0.26133296,"about_ca_system_score_codex":0.00013689569,"about_ca_system_score_gemma":0.0000216211,"threshold_uncertainty_score":0.42553928},"labels":[],"label_agreement":null},{"id":"W2141209297","doi":"10.1111/j.1467-8276.2007.00995.x","title":"Wildlife Damage and Agriculture: A Dynamic Analysis of Compensation Schemes","year":2007,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Wildlife; Damages; Compensation (psychology); Wildlife conservation; Stock (firearms); Natural resource economics; Welfare; Business; Economics; Geography; Ecology; Market economy; Political science","score_opus":0.019598873636491373,"score_gpt":0.20269500415317612,"score_spread":0.18309613051668475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141209297","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":[0.9970375,0.0003315458,0.0014660849,0.00045449735,0.0001144452,0.000072438335,0.000054001717,0.000004680939,0.00046482577],"genre_scores_gemma":[0.9963273,0.00071696466,0.0025894865,0.00021712139,0.000051796796,7.6086366e-7,0.000042789114,0.000007726757,0.00004605652],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984194,0.000014370592,0.001159051,0.00019917334,0.000029792152,0.00017818522],"domain_scores_gemma":[0.9974381,0.00008516158,0.002202072,0.00011589954,0.000041452487,0.000117370946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071471743,0.00015034889,0.00074074283,0.00033633396,0.000051879753,0.00003273543,0.00015864808,0.000051244053,0.000055992226],"category_scores_gemma":[0.000028583261,0.00012638896,0.00025141303,0.0003713303,0.0001855537,0.0004127961,0.0000372866,0.00012579476,0.000011331645],"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":[0.00009499222,0.00022177998,0.94246256,0.000019364034,0.0033623416,0.0000024877859,0.0017283098,0.013028129,0.0025597329,0.02761021,0.00025441463,0.008655663],"study_design_scores_gemma":[0.00033968486,0.00020025326,0.99537826,0.0000066268167,0.00017706012,0.00001837196,0.0018113364,0.00069959724,0.00022230786,0.0003538231,0.000614494,0.00017816029],"about_ca_topic_score_codex":0.00010879396,"about_ca_topic_score_gemma":0.0001192246,"teacher_disagreement_score":0.05291571,"about_ca_system_score_codex":0.0002179658,"about_ca_system_score_gemma":0.000008703909,"threshold_uncertainty_score":0.5153992},"labels":[],"label_agreement":null},{"id":"W2141713631","doi":"10.1111/0002-9092.00014","title":"The Impact of the Canada‐United States Free Trade Agreement on U.S. Wine Exports","year":2000,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Wine Industry and Tourism","field":"Business, Management and Accounting","cited_by":21,"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":"Free trade agreement; Economics; Tariff; International economics; Wine; Exchange rate; International trade; Agricultural economics; Free trade; Monetary economics; Chemistry","score_opus":0.005966325502595576,"score_gpt":0.18047115670579514,"score_spread":0.17450483120319957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141713631","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":[0.9693389,0.000015520414,1.3827743e-7,0.028546099,0.00018841306,0.00007623575,0.000011860463,0.0000033424917,0.0018195036],"genre_scores_gemma":[0.99635386,0.00004707264,0.0000068469967,0.00095511734,0.0023615663,9.0868383e-7,0.000008950671,0.0000070618535,0.00025861958],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99908507,0.0000166587,0.00047054756,0.00008386084,0.00013331094,0.00021056253],"domain_scores_gemma":[0.9986926,0.00007069763,0.0009430731,0.00019489275,0.00007111225,0.000027651631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016060531,0.00015411834,0.00023929043,0.000039849074,0.0001757142,0.00008925314,0.0005140143,0.00002035947,0.00016791135],"category_scores_gemma":[0.000026884916,0.00006370133,0.0002032656,0.00027191665,0.00011655824,0.00028475618,0.00003892136,0.00023221436,0.0000032277283],"study_design_candidate":"not_applicable","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":[0.00022335959,0.00014530486,0.012740153,0.0000075020394,0.00050266465,0.00001625088,0.00014918021,0.14546376,0.000069954454,0.00019470825,0.8093704,0.031116774],"study_design_scores_gemma":[0.00049284415,0.00016987202,0.8746808,0.00004384443,0.000060446968,0.00004962697,0.0017319774,0.0002427005,0.000116528005,0.00023998704,0.12198695,0.0001844093],"about_ca_topic_score_codex":0.12179423,"about_ca_topic_score_gemma":0.0069786394,"teacher_disagreement_score":0.8619407,"about_ca_system_score_codex":0.00014511486,"about_ca_system_score_gemma":0.000095235235,"threshold_uncertainty_score":0.8840538},"labels":[],"label_agreement":null},{"id":"W2142897576","doi":"10.1111/1467-8276.00506","title":"Spatial Market Arbitrage and Threshold Cointegration","year":2003,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Cointegration; Economics; Arbitrage; Commodity; Econometrics; Multivariate statistics; Financial economics; Mathematics; Statistics; Finance","score_opus":0.019358926470064448,"score_gpt":0.18645933186875838,"score_spread":0.16710040539869392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142897576","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":[0.9817311,0.00035696544,0.00046422787,0.0011916655,0.0003767289,0.00007997766,0.000044980385,0.000007085441,0.01574725],"genre_scores_gemma":[0.99662596,0.0008464995,0.0013330743,0.0005490228,0.00018753119,0.0000015369831,0.0000041217427,0.000013329232,0.00043894822],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99856925,0.000024931043,0.0009029236,0.00021538658,0.000016729873,0.00027079697],"domain_scores_gemma":[0.9983733,0.00006073638,0.001215808,0.00013478275,0.000021189837,0.00019412783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005344003,0.00019254247,0.0006108392,0.00014208704,0.00007849394,0.00010512357,0.00015211214,0.000051765186,0.00036251865],"category_scores_gemma":[0.000071006136,0.00014435577,0.00017798286,0.000077673256,0.00014217838,0.00053933123,0.000015994958,0.0002545744,0.00005193922],"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":[0.0007322908,0.0006803124,0.44521266,0.0000796891,0.001896824,0.000044688317,0.0059238975,0.021173684,0.0005250037,0.4445467,0.04419149,0.034992762],"study_design_scores_gemma":[0.003940182,0.002917989,0.800689,0.00006732945,0.00009992041,0.0028863195,0.0043204455,0.0070228474,0.0010894573,0.050761353,0.124220796,0.0019844028],"about_ca_topic_score_codex":0.00028608984,"about_ca_topic_score_gemma":0.00005595631,"teacher_disagreement_score":0.39378533,"about_ca_system_score_codex":0.00012666013,"about_ca_system_score_gemma":0.000022138729,"threshold_uncertainty_score":0.5886657},"labels":[],"label_agreement":null},{"id":"W2143399535","doi":"10.1093/ajae/aar011","title":"Agricultural Distortions, Structural Change, and Economic Growth: A Cross‐Country Analysis","year":2011,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Agriculture; Industrialisation; Economics; Convergence (economics); Per capita income; Structural change; Per capita; Sample (material); Development economics; Macroeconomics; Market economy; Geography","score_opus":0.022990849387121846,"score_gpt":0.2042592930559375,"score_spread":0.18126844366881567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143399535","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":[0.9942613,0.0011308509,0.000046568915,0.00046136032,0.0008758764,0.00015555939,0.00028106754,0.000022339958,0.002765072],"genre_scores_gemma":[0.99692,0.0008287675,0.0011602275,0.00017241736,0.0007478133,0.000011022266,0.000035361812,0.000020319882,0.000104062136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974573,0.00003926721,0.0014649531,0.0005460239,0.000030222662,0.00046218425],"domain_scores_gemma":[0.99671566,0.00006180335,0.0025054186,0.00026527347,0.00010615577,0.0003456939],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005005395,0.00037004502,0.001230809,0.0004084008,0.00019939787,0.00018049042,0.00045410986,0.00010122096,0.00023258757],"category_scores_gemma":[0.000055834116,0.00030405744,0.0004951129,0.00038122464,0.00041543687,0.0017700511,0.00010091308,0.0003257839,0.00007408022],"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":[0.000088009256,0.000048645168,0.949926,0.000014092996,0.0013869083,0.0000032251166,0.0017416375,0.0001670009,0.000011004941,0.0452331,0.00020487483,0.0011754903],"study_design_scores_gemma":[0.00044044864,0.00028993472,0.9932987,0.000005563268,0.00017398542,0.00019345185,0.00069776614,0.0000995972,0.000058622234,0.0036583678,0.00059629,0.00048728532],"about_ca_topic_score_codex":0.0020282243,"about_ca_topic_score_gemma":0.00042559335,"teacher_disagreement_score":0.04337268,"about_ca_system_score_codex":0.0003839414,"about_ca_system_score_gemma":0.00003197829,"threshold_uncertainty_score":0.9999412},"labels":[],"label_agreement":null},{"id":"W2147364686","doi":"10.1111/j.1467-8276.2006.00835.x","title":"Conservation Payments under Risk: A Stochastic Dominance Approach","year":2006,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":73,"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 Victoria","funders":"Emil Aaltosen Säätiö","keywords":"Payment; Stochastic dominance; Dominance (genetics); Natural resource economics; Extant taxon; Revenue; Economics; Business; Environmental resource management; Econometrics; Finance","score_opus":0.005221882929884777,"score_gpt":0.18428909380100938,"score_spread":0.1790672108711246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147364686","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":[0.9925057,0.0000124899025,0.0006901141,0.0005065419,0.00008376594,0.00008191997,0.000003881899,0.000006275605,0.0061092773],"genre_scores_gemma":[0.99604243,0.000028456063,0.0024945817,0.00020089361,0.0001545872,0.000002343061,0.0000066515913,0.0000059540857,0.0010640878],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9992508,0.00003390518,0.0003336898,0.0001181933,0.0000841125,0.0001792843],"domain_scores_gemma":[0.9990482,0.000032899112,0.00076851656,0.00007985962,0.000011764741,0.00005879196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001441694,0.00011573531,0.0001924156,0.000029005261,0.0000757338,0.00004162993,0.00019534632,0.00001784869,0.00010174129],"category_scores_gemma":[0.000008169353,0.00007786179,0.00008781692,0.00015525808,0.00020903778,0.00033908625,0.00004861074,0.00010781508,0.00013711078],"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":[0.00009540225,0.00021985847,0.07802919,0.0000041138023,0.000092594884,0.0000022398804,0.00030524167,0.86096835,0.0003217788,0.003368565,0.04471251,0.011880181],"study_design_scores_gemma":[0.0004775086,0.0002037899,0.9936023,0.0000058353758,0.000047357076,0.000059448063,0.00028919583,0.0019004281,0.000024054925,0.00062216807,0.0025763696,0.00019157748],"about_ca_topic_score_codex":0.0014561794,"about_ca_topic_score_gemma":0.00008301392,"teacher_disagreement_score":0.91557306,"about_ca_system_score_codex":0.00019287468,"about_ca_system_score_gemma":0.0000075556677,"threshold_uncertainty_score":0.31751117},"labels":[],"label_agreement":null},{"id":"W2147657823","doi":"10.1111/0002-9092.00047","title":"How to Improve the Management of Renewable Resources: The Case of Canada's Northern Cod Fishery","year":2000,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Social Sciences and Humanities Research Council; University of Ottawa","funders":"","keywords":"Renewable resource; Stock (firearms); Resource (disambiguation); Natural resource economics; Renewable energy; Fishery; Economics; Environmental economics; Environmental resource management; Computer science; Ecology; Engineering","score_opus":0.005777691864669554,"score_gpt":0.1553888950386212,"score_spread":0.14961120317395163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147657823","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":[0.9863659,0.00048783456,0.000007785572,0.007820765,0.00025139027,0.0001984776,0.0000922596,0.0000024726858,0.0047730776],"genre_scores_gemma":[0.99432606,0.00053738005,0.00059067714,0.00034924253,0.00012865748,0.0000061407727,0.000002235104,0.000013655382,0.004045984],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983467,0.00002145153,0.0010659768,0.00021481539,0.00004110166,0.00030998056],"domain_scores_gemma":[0.9978006,0.000096256306,0.0015783068,0.00030724317,0.00007820842,0.0001394142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005200368,0.00018838163,0.0006117099,0.000058890982,0.00013406208,0.00008480686,0.0006482141,0.000031623054,0.00009258906],"category_scores_gemma":[0.000017332326,0.00010780819,0.00021120555,0.00023035692,0.00013199088,0.00015293072,0.00007914603,0.00016961196,0.0000071915833],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001409598,0.00050402625,0.026179321,0.00034068336,0.008806359,0.00044867178,0.019139335,0.19022258,0.00018821025,0.011863305,0.052498095,0.6883998],"study_design_scores_gemma":[0.0018474554,0.0012550844,0.1361727,0.00015747991,0.0001623418,0.0015875328,0.059691545,0.00042345878,0.0007284682,0.0018079432,0.7950497,0.0011162364],"about_ca_topic_score_codex":0.061569925,"about_ca_topic_score_gemma":0.07250536,"teacher_disagreement_score":0.7425517,"about_ca_system_score_codex":0.00032648616,"about_ca_system_score_gemma":0.000065864915,"threshold_uncertainty_score":0.94467914},"labels":[],"label_agreement":null},{"id":"W2150849756","doi":"10.1111/j.1467-8276.2005.00736.x","title":"Estimating the Structure of Market Reaction to News: Information Events and Lumber Futures Prices","year":2005,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":42,"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":"Futures contract; Aperiodic graph; Event study; Event (particle physics); Futures market; Inside information; Business; Economics; Econometrics; Financial economics; Agricultural economics; Geography; Mathematics","score_opus":0.00356072094788252,"score_gpt":0.17736384251424592,"score_spread":0.1738031215663634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150849756","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":[0.9967684,0.000015795218,0.000063787826,0.0025753763,0.0001823948,0.00006706401,0.0000043276295,0.000003530596,0.00031933258],"genre_scores_gemma":[0.9961506,0.00003520995,0.0018423644,0.001014238,0.00093295693,3.8220995e-7,0.0000024640037,0.0000028210886,0.000018938314],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994657,0.0000039025754,0.000329632,0.000051534145,0.000065430184,0.00008379843],"domain_scores_gemma":[0.9983016,0.000018044644,0.001487865,0.000053449636,0.00012852943,0.000010494558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000089048175,0.00008194718,0.00015789455,0.000044737095,0.00006623435,0.00007236839,0.00012208406,0.000015156747,0.000011952454],"category_scores_gemma":[0.000033606517,0.000046332014,0.000040940955,0.00015240484,0.000025685496,0.002295772,0.000031505093,0.00008446056,0.0000048215566],"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":[0.0003177787,0.000044813918,0.12785555,0.00009666408,0.00015401024,6.4880635e-7,0.0013330578,0.05264004,0.0026219557,0.0010307255,0.031042714,0.78286207],"study_design_scores_gemma":[0.00017516105,0.000030206991,0.9807409,0.000036175417,0.000026858363,0.000023957535,0.0010803255,0.000495643,0.000049848135,0.00010418485,0.017150488,0.00008622425],"about_ca_topic_score_codex":0.00024659088,"about_ca_topic_score_gemma":0.00028664264,"teacher_disagreement_score":0.85288537,"about_ca_system_score_codex":0.000032732903,"about_ca_system_score_gemma":0.000010796991,"threshold_uncertainty_score":0.18893647},"labels":[],"label_agreement":null},{"id":"W2155958740","doi":"10.1111/j.1467-8276.2009.01322.x","title":"Customs and Incentives in Contracts","year":2009,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"University of Arizona","keywords":"Moral hazard; Cash; Incentive; Payment; Flexibility (engineering); Simple (philosophy); Microeconomics; Economics; Cash flow; Business; Actuarial science; Econometrics; Finance","score_opus":0.004323458225414299,"score_gpt":0.1751065950312929,"score_spread":0.1707831368058786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155958740","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":[0.99499166,0.00009664354,1.7027202e-7,0.004425957,0.00007189483,0.000042835978,0.00000297618,0.00000403411,0.0003638096],"genre_scores_gemma":[0.99807954,0.0012899815,0.00006170419,0.0002718945,0.00021853296,1.9067474e-7,0.0000025564702,2.488132e-7,0.00007534204],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99940735,0.000021115116,0.00028288792,0.00009032475,0.00004123776,0.00015709492],"domain_scores_gemma":[0.99950016,0.0000463927,0.0002980619,0.000014061892,0.000038339414,0.000102963735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011555833,0.00009104863,0.0002535511,0.000013298767,0.00005064429,0.000045409073,0.0001142076,0.00002880747,0.00001048456],"category_scores_gemma":[0.0000065480076,0.00001532674,0.00006542988,0.00010616159,0.00008061547,0.00026759412,0.000008466767,0.000119224846,0.0000018365528],"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":[0.000081625876,0.0001134666,0.00974965,8.162801e-7,0.000022781986,0.0000110016645,0.00030833538,0.000060208906,0.020120094,0.0005183723,0.00010335165,0.9689103],"study_design_scores_gemma":[0.00021235437,0.0007959544,0.9888772,0.000016292837,0.000005573414,0.00014216265,0.001192897,0.0000040188797,0.00050876534,0.00048263514,0.0076510445,0.000111124784],"about_ca_topic_score_codex":0.000067987094,"about_ca_topic_score_gemma":0.00016346932,"teacher_disagreement_score":0.9791275,"about_ca_system_score_codex":0.00003141969,"about_ca_system_score_gemma":0.0000054871884,"threshold_uncertainty_score":0.071399905},"labels":[],"label_agreement":null},{"id":"W2158962388","doi":"10.1111/j.1467-8276.2008.01163.x","title":"Promotion and Fast Food Demand","year":2008,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Alberta","keywords":"Promotion (chess); Business; Almost ideal demand system; On demand; Consumer demand; Market share; Economics; Marketing; Agricultural economics; Microeconomics; Commerce; Production (economics)","score_opus":0.014286084316228765,"score_gpt":0.18842214703648175,"score_spread":0.17413606272025298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158962388","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":[0.9977791,0.00007213498,0.00002843407,0.0008222132,0.00016670382,0.000052412888,8.261989e-7,0.000010892407,0.0010673264],"genre_scores_gemma":[0.99888617,0.00017567172,0.00021660692,0.00017042,0.00050556904,8.2364056e-7,0.000002254236,0.0000066423736,0.0000358307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942935,0.000007554981,0.00028549606,0.000095437084,0.000052248368,0.00012990809],"domain_scores_gemma":[0.9992657,0.000023189512,0.00052895595,0.000048984322,0.0001111453,0.000022032547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013282099,0.000106994594,0.00022937013,0.000093381626,0.000121501,0.00008715687,0.0001002746,0.000017223594,0.000024902298],"category_scores_gemma":[0.000017363987,0.00007371272,0.00007440584,0.00013266547,0.000103103,0.0009026155,0.00004574494,0.00010933849,0.000008058784],"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":[0.00012155248,0.00016115066,0.6984683,0.000045106717,0.0001919953,0.0000243921,0.0005288688,0.00023404584,0.0016715575,0.001094956,0.0017179098,0.29574016],"study_design_scores_gemma":[0.00033742015,0.0001286047,0.99548495,0.000017796345,0.000065525644,0.0004818726,0.00063886365,0.00003939707,0.000052049156,0.00008097573,0.002515578,0.00015698286],"about_ca_topic_score_codex":0.000047870923,"about_ca_topic_score_gemma":0.00003515555,"teacher_disagreement_score":0.29701662,"about_ca_system_score_codex":0.000020496414,"about_ca_system_score_gemma":0.000012356208,"threshold_uncertainty_score":0.30059174},"labels":[],"label_agreement":null},{"id":"W2165588285","doi":"10.1093/ajae/aau049","title":"Estimating the Impact of Minimum Wages on Employment, Wages, and Non‐Wage Benefits: The Case of Agriculture in South Africa","year":2014,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":114,"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":"International Development Research Centre","keywords":"Economics; Wage; Minimum wage; Legislation; Agriculture; Margin (machine learning); Labour economics; Work (physics); Efficiency wage; Sample (material); Demographic economics; Geography","score_opus":0.015258936954483538,"score_gpt":0.2167947759197281,"score_spread":0.20153583896524455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165588285","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":[0.9976028,0.00026653786,0.00003583874,0.0007900639,0.00010306724,0.00012645837,0.00009253085,0.0000028339473,0.0009798706],"genre_scores_gemma":[0.99914914,0.0000722584,0.0005140897,0.00009478951,0.00012316124,0.0000029727923,0.0000036000108,0.000009807706,0.000030180792],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847895,0.000041884334,0.0010719243,0.00017361742,0.00002853392,0.00020510817],"domain_scores_gemma":[0.9970672,0.00023466651,0.0023561218,0.00018604373,0.000092967755,0.00006295756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007069441,0.00019050426,0.00060966075,0.00014914338,0.00008637001,0.000054749566,0.00028788418,0.000047749985,0.000013414523],"category_scores_gemma":[0.00014068515,0.00009284921,0.00020715456,0.00039211847,0.00019959986,0.00018867246,0.00005027464,0.0002739147,0.0000038520234],"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":[0.00062298,0.0012349435,0.38205156,0.00015594428,0.002249703,0.000060929444,0.08210895,0.3192613,0.0018040347,0.11938375,0.007971085,0.0830948],"study_design_scores_gemma":[0.0012357451,0.0018756884,0.9818747,0.000105660125,0.000033342814,0.0004177331,0.00841544,0.0037000363,0.00030117648,0.0013830584,0.00028351898,0.0003738686],"about_ca_topic_score_codex":0.0004073284,"about_ca_topic_score_gemma":0.000054078384,"teacher_disagreement_score":0.5998232,"about_ca_system_score_codex":0.00008512192,"about_ca_system_score_gemma":0.00001721913,"threshold_uncertainty_score":0.37862808},"labels":[],"label_agreement":null},{"id":"W2167794741","doi":"10.1111/j.1467-8276.2008.01239.x","title":"Standards as Barriers Versus Standards as Catalysts: Assessing the Impact of HACCP Implementation on U.S. Seafood Imports","year":2009,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Food Safety and Hygiene","field":"Agricultural and Biological Sciences","cited_by":241,"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":"University of Massachusetts; U.S. Department of Agriculture","keywords":"Business; Hazard analysis and critical control points; Food safety; International trade; Critical control point; Perspective (graphical); Control (management); International economics; Food science; Economics; Computer science; Chemistry","score_opus":0.01101540268306014,"score_gpt":0.31482357724791155,"score_spread":0.30380817456485143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167794741","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":[0.99384356,0.000087736065,9.867979e-7,0.0041660345,0.00019013102,0.00014225031,0.0002960932,0.0000109762805,0.0012622629],"genre_scores_gemma":[0.9991343,0.00024651203,0.000045975023,0.00021918972,0.00030024204,0.0000012123724,0.00004364267,0.0000016250876,0.000007289344],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99825466,0.00012557262,0.0007000187,0.00019661803,0.00039967673,0.00032345083],"domain_scores_gemma":[0.9977594,0.00019060817,0.001287796,0.00008137874,0.0004306047,0.00025023575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000904457,0.0002341666,0.00046575133,0.000028531891,0.00027937215,0.00016213421,0.00037850408,0.000044319062,0.0002713903],"category_scores_gemma":[0.00012936906,0.000073282674,0.00044704642,0.0003376719,0.00016398844,0.00054371345,0.000030563337,0.00024784062,0.0000024980013],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038801376,0.00028360303,0.0049015544,0.0000066457997,0.0012568037,0.000035113335,0.0021586379,0.005665149,0.048899908,0.0013925399,0.009372119,0.9221478],"study_design_scores_gemma":[0.0015881368,0.034435693,0.9064537,0.00006091575,0.0001723258,0.000286365,0.038340148,0.0000106992475,0.013047661,0.00053408236,0.0045488514,0.0005213871],"about_ca_topic_score_codex":0.00089950353,"about_ca_topic_score_gemma":0.00028124228,"teacher_disagreement_score":0.9216264,"about_ca_system_score_codex":0.00064372463,"about_ca_system_score_gemma":0.00034396385,"threshold_uncertainty_score":0.29883805},"labels":[],"label_agreement":null},{"id":"W2168551943","doi":"10.1093/ajae/aat080","title":"Agricultural Prices, Selection, and the Evolution of the Food Industry","year":2013,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":11,"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","funders":"","keywords":"Agriculture; Productivity; Food industry; Economics; Agricultural economics; Falling (accident); Food processing; Selection (genetic algorithm); Fell; Industrial organization; Macroeconomics; Ecology","score_opus":0.006550377226603508,"score_gpt":0.15941470718550027,"score_spread":0.15286432995889676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168551943","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":[0.99044496,0.00034930525,0.000050921226,0.006861707,0.00027660612,0.00017301283,0.000012226733,0.0000047812487,0.0018264627],"genre_scores_gemma":[0.99896926,0.000087721724,0.00031066997,0.00025886207,0.00018776802,0.0000060865477,0.0000010870302,0.0000057195216,0.00017285462],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99879724,0.000030947314,0.00085272186,0.00012931568,0.000034192508,0.00015560687],"domain_scores_gemma":[0.9974867,0.00006824276,0.0020637321,0.000104434504,0.00022094032,0.000055967736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003346795,0.00012731108,0.00039396653,0.000076880824,0.00012846355,0.00008134342,0.00029741044,0.00007379223,0.000050930397],"category_scores_gemma":[0.00008783974,0.00006151163,0.00016142153,0.0005070684,0.0003066423,0.00046100217,0.00005298068,0.00039702377,0.000013777815],"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":[0.000051844356,0.00009599962,0.19087295,0.000018318558,0.00048855506,7.07131e-8,0.0014257124,0.0012976099,0.00032891246,0.7968412,0.006083807,0.0024950104],"study_design_scores_gemma":[0.0007110637,0.00019026843,0.987496,0.000011441707,0.00001408855,0.00010798745,0.0031781618,0.000088390836,0.00012813734,0.006802066,0.0011459391,0.00012645024],"about_ca_topic_score_codex":0.00041845863,"about_ca_topic_score_gemma":0.000043510725,"teacher_disagreement_score":0.79662305,"about_ca_system_score_codex":0.00019195062,"about_ca_system_score_gemma":0.000033911518,"threshold_uncertainty_score":0.25083715},"labels":[],"label_agreement":null},{"id":"W2168606282","doi":"10.1111/j.1467-8276.2006.00869.x","title":"Rejecting New Technology: The Case of Genetically Modified Wheat","year":2006,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":46,"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":"Economic rent; Agricultural economics; Genetically engineered; Veto; Genetically modified organism; Economics; Business; Agricultural science; Biotechnology; Political science; Market economy; Biology; Law","score_opus":0.012209911076408073,"score_gpt":0.21331543849210868,"score_spread":0.20110552741570062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168606282","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":[0.9915419,0.00017349263,0.00003623939,0.0075796414,0.000073756295,0.00012698126,0.000007857703,0.000013823808,0.00044627182],"genre_scores_gemma":[0.9965625,0.00009616239,0.002697569,0.00006566602,0.00046419652,0.0000014223443,0.0000025467234,0.0000019229185,0.00010804853],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985772,0.00007781077,0.0006893492,0.00019265324,0.000117681884,0.00034530263],"domain_scores_gemma":[0.9986276,0.000264585,0.0005950054,0.000092545895,0.00027514217,0.00014513856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030808753,0.00016824018,0.00038112485,0.00003710141,0.00015806171,0.00007046661,0.000582049,0.00007924423,0.0000562535],"category_scores_gemma":[0.000080322316,0.000051779218,0.00018637696,0.00055934023,0.0003855491,0.000091270864,0.000120699166,0.00032076953,0.000007377712],"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":[0.00008396405,0.00013008654,0.0023915076,0.000004077828,0.00010033635,0.00009381282,0.00014127622,0.0041273735,0.48538417,0.0038814393,0.0011247382,0.5025372],"study_design_scores_gemma":[0.0016348066,0.008189075,0.70102787,0.000095895295,0.00028270466,0.03028576,0.028809322,0.00043740726,0.20674837,0.016069893,0.0050235144,0.0013953921],"about_ca_topic_score_codex":0.0015026912,"about_ca_topic_score_gemma":0.0009494523,"teacher_disagreement_score":0.69863635,"about_ca_system_score_codex":0.00006577899,"about_ca_system_score_gemma":0.000048829876,"threshold_uncertainty_score":0.22716296},"labels":[],"label_agreement":null},{"id":"W2171874924","doi":"10.1093/ajae/aaq026","title":"The Combination of Gravity and Welfare Approaches for Evaluating Nontariff Measures","year":2010,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":168,"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":"European Commission","keywords":"Welfare; Economics; Gravity equation; European union; Gravity model of trade; General equilibrium theory; Partial equilibrium; Econometrics; Estimation; International economics; Microeconomics; Bilateral trade; Geography","score_opus":0.06396378644343752,"score_gpt":0.22230683939795093,"score_spread":0.1583430529545134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171874924","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":[0.99536926,0.0002559035,0.000121716694,0.0028205693,0.00048015587,0.00016124015,0.00005453143,0.0000034953046,0.00073310663],"genre_scores_gemma":[0.9965252,0.0002558291,0.003022626,0.000040174953,0.00011253847,0.0000062282857,0.0000058523187,0.000008949018,0.00002254958],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99874604,0.00001443686,0.00086126715,0.00016342131,0.00002305723,0.00019177356],"domain_scores_gemma":[0.9977628,0.00015251034,0.001754382,0.00013144653,0.00011201284,0.00008684915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010774028,0.00013131004,0.00047006097,0.00005916648,0.0002008475,0.00009545186,0.00027333052,0.000051849478,0.0000051053535],"category_scores_gemma":[0.00016393179,0.000094223135,0.0001866633,0.00007188909,0.00022642885,0.00029064296,0.000031825482,0.00021200215,0.0000020505654],"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":[0.00019162647,0.00015357032,0.05961166,0.000030335472,0.00043357853,2.3881165e-7,0.0009876419,0.0014822577,0.0003896049,0.84502494,0.0002584461,0.09143611],"study_design_scores_gemma":[0.0017523754,0.0014907226,0.91589355,0.000013560698,0.00006685442,0.00012609665,0.005926773,0.0022629853,0.0004076838,0.055579916,0.01601874,0.0004607159],"about_ca_topic_score_codex":0.00013346599,"about_ca_topic_score_gemma":0.0001912746,"teacher_disagreement_score":0.85628194,"about_ca_system_score_codex":0.000060521154,"about_ca_system_score_gemma":0.000022233737,"threshold_uncertainty_score":0.3842308},"labels":[],"label_agreement":null},{"id":"W2180398075","doi":"10.1093/ajae/aav037","title":"The Demonstration and Capture of the Value of an Ecosystem Service: A Quasi‐Experimental Hedonic Property Analysis","year":2015,"lang":"en","type":"article","venue":"American Journal of Agricultural 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":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Alberta Water Research Institute","keywords":"Ecosystem services; Irrigation; Revenue; Service (business); Ecosystem; Agency (philosophy); Business; Environmental resource management; Environmental science; Offset (computer science); Property value; Environmental economics; Natural resource economics; Computer science; Economics; Ecology; Finance; Marketing","score_opus":0.029312855481903946,"score_gpt":0.19806834197059112,"score_spread":0.16875548648868716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2180398075","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":[0.99794334,0.0005686196,0.0000314715,0.00088361884,0.00014959153,0.00012684368,0.00004134424,0.0000018776731,0.00025331398],"genre_scores_gemma":[0.9993312,0.00015469636,0.0003672261,0.000054559016,0.000047131565,0.000002852482,0.000005529914,0.0000065683016,0.00003028007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987172,0.00006437989,0.0009143435,0.00014760357,0.00003753153,0.00011895597],"domain_scores_gemma":[0.9975522,0.00003835171,0.0020782691,0.000183173,0.00005405848,0.000093907154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006805337,0.00011902977,0.00047977248,0.000060070437,0.00008052618,0.00003991858,0.00028001485,0.000040098592,0.0000074867403],"category_scores_gemma":[0.000020154426,0.0000608857,0.00018145965,0.00020950528,0.00012892201,0.0003751919,0.000048921123,0.000104480365,0.000003520544],"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":[0.00029016082,0.0008273317,0.75399125,0.000051395884,0.00309202,7.728507e-7,0.0118506085,0.18939447,0.0013366112,0.034925144,0.00019565651,0.0040445672],"study_design_scores_gemma":[0.001060838,0.0012988693,0.94507134,0.000024205245,0.00024779892,0.000099637335,0.028099298,0.020765936,0.0017441971,0.0008629902,0.00042274175,0.0003021206],"about_ca_topic_score_codex":0.0005430559,"about_ca_topic_score_gemma":0.0004727186,"teacher_disagreement_score":0.19108011,"about_ca_system_score_codex":0.00021384224,"about_ca_system_score_gemma":0.000041982486,"threshold_uncertainty_score":0.24828468},"labels":[],"label_agreement":null},{"id":"W2215983692","doi":"10.1093/ajae/aau052","title":"By Ounce or by Calorie: The Differential Effects of Alternative Sugar‐Sweetened Beverage Tax Strategies","year":2014,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":53,"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":"Centers for Disease Control and Prevention; York University; Robert Wood Johnson Foundation; New York City Department of Health and Mental Hygiene; National Center for Chronic Disease Prevention and Health Promotion; National Heart, Lung, and Blood Institute","keywords":"Economics; Fluid ounce (US); Calorie; Per capita; Subsidy; Agricultural economics; Environmental health; Medicine; Population","score_opus":0.004997062182172536,"score_gpt":0.17641303943677528,"score_spread":0.17141597725460275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2215983692","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":[0.9931354,0.00070937496,0.00095734984,0.0012860426,0.00090498547,0.00021264804,0.00022430207,0.000010834051,0.0025590411],"genre_scores_gemma":[0.9964866,0.0018158846,0.00027490914,0.00030619136,0.0004589715,0.00001004635,0.000032149823,0.00002311712,0.00059213315],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99771535,0.000077927034,0.0013805131,0.00036308102,0.000059676127,0.0004034522],"domain_scores_gemma":[0.99572206,0.0005389844,0.0031411764,0.00026852684,0.00013856342,0.00019067115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036948704,0.00037117748,0.0011658946,0.00008684837,0.00013583341,0.00019798362,0.0008634767,0.00009675644,0.00006166404],"category_scores_gemma":[0.00013623049,0.00021772,0.00038554982,0.00018185235,0.00033319567,0.0007561503,0.0000949547,0.00037328192,0.00002643329],"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":[0.0037434427,0.0030984515,0.020320158,0.00060734956,0.01121411,0.00003219382,0.012906656,0.0065792836,0.040133886,0.2882192,0.5724807,0.04066457],"study_design_scores_gemma":[0.023168517,0.032522276,0.41018727,0.00067343726,0.0009734274,0.00074445887,0.025672158,0.0015584748,0.07205691,0.06211536,0.36149192,0.008835788],"about_ca_topic_score_codex":0.00037000657,"about_ca_topic_score_gemma":0.00008201775,"teacher_disagreement_score":0.38986713,"about_ca_system_score_codex":0.0001649915,"about_ca_system_score_gemma":0.000041310745,"threshold_uncertainty_score":0.88783634},"labels":[],"label_agreement":null},{"id":"W2220090771","doi":"10.1093/ajae/aav019","title":"The Political Economy of Food Price Volatility: The Case of Vietnam and Rice","year":2015,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":31,"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":"Volatility (finance); Economics; Vietnamese; Elite; Monetary economics; Politics; Market economy; International economics; Financial economics; Political science","score_opus":0.03162286405331166,"score_gpt":0.20493587600644464,"score_spread":0.17331301195313298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2220090771","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":[0.98131,0.0014412157,0.00004261533,0.0056000333,0.00025994255,0.00012971595,0.000087359826,0.0000035124983,0.011125619],"genre_scores_gemma":[0.9987783,0.00026199338,0.00040391527,0.00036068854,0.00016303119,0.0000026025862,0.0000014107482,0.000010509253,0.00001758875],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979606,0.00004267572,0.0014444725,0.00019387172,0.00002009791,0.00033825956],"domain_scores_gemma":[0.9967804,0.00033982823,0.0021719194,0.0002691676,0.00017045837,0.0002682351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008737863,0.00018332031,0.0007212203,0.00007046725,0.000109105276,0.00007914849,0.00042757846,0.000054526856,0.0000051603024],"category_scores_gemma":[0.00015292705,0.00011242892,0.00023375043,0.00016334499,0.00060562696,0.00038700472,0.000098427256,0.00023049652,0.000006856878],"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":[0.00010044344,0.0000937606,0.012039607,0.00002448113,0.00048231587,0.000007022844,0.00087214826,0.00024054015,0.000011275363,0.98330855,0.0007340149,0.0020858077],"study_design_scores_gemma":[0.0052752155,0.008283252,0.19607261,0.0000809371,0.000339579,0.014095084,0.12703042,0.0041665267,0.0010339629,0.5805854,0.06133999,0.0016970363],"about_ca_topic_score_codex":0.0002145718,"about_ca_topic_score_gemma":0.000076507815,"teacher_disagreement_score":0.4027232,"about_ca_system_score_codex":0.0001737211,"about_ca_system_score_gemma":0.00007670003,"threshold_uncertainty_score":0.45847183},"labels":[],"label_agreement":null},{"id":"W2237035728","doi":"10.1093/ajae/aaq116","title":"Bid‐Ask Spreads, Volume, and Volatility: Evidence from Livestock Markets","year":2010,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":58,"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":"Volatility (finance); Bid price; Market liquidity; Bid–ask spread; Futures contract; Futures market; Economics; Transaction cost; Ask price; Econometrics; Financial economics; Market microstructure; Monetary economics; Business; Microeconomics; Finance","score_opus":0.010688944827205463,"score_gpt":0.1872438460871697,"score_spread":0.17655490125996426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2237035728","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":[0.9916655,0.0019583926,0.000056038833,0.0023756209,0.0010912513,0.0001655804,0.00014015273,0.000021730186,0.0025257787],"genre_scores_gemma":[0.98947155,0.0026732169,0.006307441,0.0002962747,0.0008419522,0.000005366783,0.000013418559,0.000025108717,0.00036568963],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997538,0.00003627327,0.001432865,0.0005424264,0.000042539657,0.00040790637],"domain_scores_gemma":[0.9965021,0.00036108482,0.0022152099,0.00036253242,0.00014535329,0.00041370525],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007416299,0.00036571448,0.001060031,0.00017731792,0.00013375662,0.00027330773,0.00062138063,0.00015409985,0.00030617707],"category_scores_gemma":[0.0002983311,0.00030153792,0.0003194235,0.00018547509,0.00032729897,0.001477067,0.00015495691,0.0007109244,0.000111263595],"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":[0.00062069297,0.0003987878,0.9167894,0.000045227323,0.001406059,0.000023214465,0.0026445978,0.00009948559,0.0059388843,0.0132290395,0.01832712,0.0404775],"study_design_scores_gemma":[0.00048619564,0.00048814522,0.9748914,0.000047238493,0.000048623057,0.00018126381,0.00062834274,0.0002536483,0.00019109376,0.0050349394,0.01719321,0.0005558907],"about_ca_topic_score_codex":0.00045721466,"about_ca_topic_score_gemma":0.00026747625,"teacher_disagreement_score":0.05810202,"about_ca_system_score_codex":0.00010929972,"about_ca_system_score_gemma":0.000048926664,"threshold_uncertainty_score":0.9999437},"labels":[],"label_agreement":null},{"id":"W2241599785","doi":"10.1093/ajae/aav041","title":"Simultaneous Allocation of Bundled Goods through Auctions: Assessing the Case for Joint Bidding","year":2015,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; University of Victoria","funders":"","keywords":"Allocative efficiency; Bidding; Common value auction; Microeconomics; Joint (building); Revenue; Economics; Business; Finance","score_opus":0.11729674502811405,"score_gpt":0.3816091467804168,"score_spread":0.26431240175230275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2241599785","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":[0.9401061,0.000057853456,0.055275567,0.0036769859,0.00034917195,0.00015119609,0.000011545274,0.000006421184,0.000365163],"genre_scores_gemma":[0.984888,0.000025347417,0.014488221,0.000119556986,0.0003167099,0.0000068935988,0.0000018820747,0.0000051892857,0.00014815778],"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","domain_scores_codex":[0.998444,0.00014733676,0.0009901893,0.00014952637,0.00014522285,0.0001236905],"domain_scores_gemma":[0.9949205,0.001718426,0.0022047514,0.00020184778,0.0008587072,0.00009578825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017703102,0.000101837184,0.00032741306,0.00006737349,0.00024147419,0.00017494918,0.00034140024,0.000027727312,0.0000146155235],"category_scores_gemma":[0.0016167201,0.0000520795,0.00019946751,0.00041381214,0.00028079163,0.00073740777,0.00003537758,0.00012472166,0.000010195783],"study_design_candidate":"qualitative","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":[0.00012873569,0.000264966,0.00025997264,0.0000064648293,0.00028619543,0.000013893637,0.0071623465,0.6559001,0.0032579345,0.0642833,0.0057458687,0.2626902],"study_design_scores_gemma":[0.002180879,0.0022934375,0.004125723,0.00007983127,0.00042013265,0.02325989,0.6862977,0.035064396,0.012796215,0.19139726,0.04125412,0.00083036814],"about_ca_topic_score_codex":0.000036028658,"about_ca_topic_score_gemma":0.000015753212,"teacher_disagreement_score":0.6791354,"about_ca_system_score_codex":0.000121151774,"about_ca_system_score_gemma":0.00010348897,"threshold_uncertainty_score":0.21237405},"labels":[],"label_agreement":null},{"id":"W2242946812","doi":"10.1093/ajae/aat116","title":"Social Networks and New Product Choice","year":2014,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"U.S. Department of Agriculture","keywords":"Social connectedness; Consumption (sociology); Product (mathematics); Preference; Social network (sociolinguistics); Microeconomics; Marketing; Consumer choice; Economics; Business; Psychology; Social psychology; Computer science; Sociology","score_opus":0.013305521879268988,"score_gpt":0.21070941248873712,"score_spread":0.19740389060946814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2242946812","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":[0.99485147,0.000071818926,0.00008342613,0.0029951073,0.00028188055,0.000044320714,1.4947358e-7,0.000013130428,0.0016587152],"genre_scores_gemma":[0.99406785,0.000042303607,0.00015344465,0.00072100636,0.00491146,4.1338285e-7,0.0000020903344,0.00000897591,0.00009248333],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993446,0.000011765339,0.00029955522,0.00012246174,0.00004934827,0.0001722827],"domain_scores_gemma":[0.99912494,0.000057775174,0.0006409531,0.00005451121,0.000092693175,0.000029112802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023919482,0.00012531184,0.00028471186,0.00006868933,0.00011749465,0.00022521871,0.00015284248,0.00001838499,0.000022863718],"category_scores_gemma":[0.000051475796,0.00008839322,0.0000868297,0.00015701586,0.00007332424,0.00072024105,0.00006343653,0.00016431675,0.000006194538],"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":[0.000052608586,0.000025813337,0.15140703,0.0000135309265,0.00007067718,0.0000010459498,0.00008968021,0.0006247797,0.00016245527,0.001452599,0.010361751,0.835738],"study_design_scores_gemma":[0.00035414536,0.000031622025,0.9351134,0.00001243764,0.0001104071,0.000037279773,0.00023893727,0.00024787875,0.0000059185186,0.0001197613,0.06353124,0.0001970278],"about_ca_topic_score_codex":0.00039365704,"about_ca_topic_score_gemma":0.000097544194,"teacher_disagreement_score":0.835541,"about_ca_system_score_codex":0.0000199658,"about_ca_system_score_gemma":0.000013561218,"threshold_uncertainty_score":0.3604571},"labels":[],"label_agreement":null},{"id":"W2247786080","doi":"10.1111/j.1467-8276.2005.00773.x","title":"Price Discrimination in the Context of Vertical Differentiation: An Application to Canadian Wheat Exports","year":2005,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":58,"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":"University of Massachusetts Amherst; University of Connecticut; U.S. Department of Agriculture","keywords":"Product differentiation; Context (archaeology); Market power; Economics; Price discrimination; Exploit; Quality (philosophy); Product (mathematics); Microeconomics; Industrial organization; Biology; Computer science","score_opus":0.009527391453814154,"score_gpt":0.19560138348419495,"score_spread":0.1860739920303808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2247786080","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":[0.9864891,0.00015175476,0.00016095833,0.010279525,0.0001372299,0.00022760658,0.000033599576,0.0000035513638,0.0025166706],"genre_scores_gemma":[0.9976243,0.00016894125,0.0005937607,0.001252346,0.00029191808,0.0000129542095,0.000029132818,0.000008727178,0.000017935397],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9983592,0.00003338713,0.0010894028,0.00022598029,0.000036360412,0.00025567407],"domain_scores_gemma":[0.9987092,0.00006729206,0.00067614135,0.00020426397,0.00011105568,0.00023205794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005457286,0.0001584988,0.00048156377,0.00024471903,0.00006056696,0.000072606876,0.00045514008,0.000057798254,0.000028697232],"category_scores_gemma":[0.00004686972,0.00011325316,0.00013585264,0.00023663741,0.00006144006,0.0007091432,0.000020947238,0.00017591979,0.000031587468],"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":[0.00047816284,0.0019007911,0.14005953,0.0000609207,0.0005440402,0.0000090824415,0.050117776,0.012222127,0.002354083,0.62116057,0.010211604,0.1608813],"study_design_scores_gemma":[0.00049431156,0.00066045613,0.97502434,0.000017651537,0.00002063393,0.000069523674,0.008667775,0.00028868075,0.000391421,0.0012500935,0.012794772,0.00032036228],"about_ca_topic_score_codex":0.0046446607,"about_ca_topic_score_gemma":0.04583707,"teacher_disagreement_score":0.8349648,"about_ca_system_score_codex":0.00043479074,"about_ca_system_score_gemma":0.000050038103,"threshold_uncertainty_score":0.9715739},"labels":[],"label_agreement":null},{"id":"W2276122769","doi":"10.1093/ajae/aav022","title":"Measuring Price Elasticities of Demand and Supply of Water Entitlements Based on Stated and Revealed Preference Data","year":2015,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Australian Research Council; ACT Government","keywords":"Endogeneity; Price elasticity of demand; Economics; Entitlement (fair division); Revealed preference; Price elasticity of supply; Water supply; Elasticity (physics); Water use; Microeconomics; Econometrics; Agricultural economics; Environmental science; Ecology","score_opus":0.14915253151360647,"score_gpt":0.20618192328086843,"score_spread":0.05702939176726196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2276122769","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":[0.99869335,0.00015886361,0.00019469271,0.00016716677,0.000073252995,0.00007801385,0.00016351804,0.0000016129175,0.00046953678],"genre_scores_gemma":[0.9980383,0.0004091766,0.0014104424,0.00003676538,0.000030645482,9.5074444e-7,0.00003191726,0.0000065648915,0.000035223813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989518,0.000022111926,0.0007077056,0.0001683026,0.000030557192,0.0001195378],"domain_scores_gemma":[0.99875975,0.00005084306,0.0009215449,0.00013928229,0.00003597108,0.00009263134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057261967,0.00010435528,0.00042089476,0.00009297952,0.0000218626,0.000021179043,0.00017027857,0.000023430628,0.000035681882],"category_scores_gemma":[0.000043244996,0.000078169905,0.00003116874,0.00003347106,0.0001406881,0.00036616065,0.000081710314,0.00006956733,0.000005807716],"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":[0.00035249098,0.00024913767,0.9676486,0.0001201202,0.00041788752,0.0000016314802,0.0030124164,0.022069566,0.0011571016,0.0015453771,0.00054446456,0.0028811875],"study_design_scores_gemma":[0.0015701564,0.0009858314,0.98885083,0.00006826203,0.000041045394,0.000015717815,0.0020471902,0.0032126335,0.0019011338,0.0007720191,0.00032038993,0.00021481107],"about_ca_topic_score_codex":0.00008291428,"about_ca_topic_score_gemma":0.000008970606,"teacher_disagreement_score":0.021202192,"about_ca_system_score_codex":0.00007850351,"about_ca_system_score_gemma":0.000015837157,"threshold_uncertainty_score":0.3187676},"labels":[],"label_agreement":null},{"id":"W2278882141","doi":"10.1093/ajae/aav046","title":"The Impact of Perceptions in Averting‐decision Models: An Application of the Special Regressor Method to Drinking Water Choices","year":2015,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":47,"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":"Endogeneity; Valuation (finance); Revealed preference; Econometrics; Ordered probit; Probit model; Discrete choice; Contingent valuation; Multivariate probit model; Willingness to pay; Actuarial science; Perception; Risk perception; Empirical research; Bivariate analysis; Economics; Microeconomics; Statistics; Psychology; Mathematics","score_opus":0.0568962452854907,"score_gpt":0.27281115984220305,"score_spread":0.21591491455671236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2278882141","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":[0.9961957,0.00004134938,0.0023923656,0.00038032528,0.00014530674,0.00015004628,0.000012420031,0.0000014935896,0.00068102055],"genre_scores_gemma":[0.9962757,0.00009293505,0.003295548,0.000028692299,0.00025926498,0.0000048634865,0.0000036534368,0.000008395244,0.0000309495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9985749,0.00005224618,0.0010195025,0.00015631113,0.000037840306,0.00015918456],"domain_scores_gemma":[0.9983409,0.00007472236,0.0012405602,0.00020240595,0.00005110073,0.00009032413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011902808,0.000112133435,0.00038733048,0.00009295827,0.00006697702,0.000034546454,0.00040938726,0.000035544672,0.00001817541],"category_scores_gemma":[0.000036094858,0.000058307876,0.00020939864,0.00012110749,0.000096068026,0.00047767715,0.000075717966,0.00012648066,0.000015668582],"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":[0.00011099419,0.0001012973,0.20622513,0.0000015515216,0.00007036695,6.9340174e-8,0.0043856767,0.7593072,0.0006706807,0.0035820957,0.00013717914,0.025407778],"study_design_scores_gemma":[0.00046248207,0.0004279833,0.9678501,0.00001642525,0.000011024717,0.000014893097,0.0035644153,0.012271603,0.00042222743,0.014511503,0.00030319174,0.00014415145],"about_ca_topic_score_codex":0.0007160111,"about_ca_topic_score_gemma":0.000273113,"teacher_disagreement_score":0.761625,"about_ca_system_score_codex":0.00045724836,"about_ca_system_score_gemma":0.000021867061,"threshold_uncertainty_score":0.23777261},"labels":[],"label_agreement":null},{"id":"W2285787321","doi":"","title":"Kaczan, David. \"Designing an Incentive Program to Reduce On-Farm Deforestation in the East Usambara Mountains, Tanzania.\" MSThesis, niversity of Alberta. Outstanding Master's Thesis Award","year":2013,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Agriculture and Rural Development Research","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":"Tanzania; Deforestation (computer science); Incentive; Geography; Archaeology; Environmental planning; Economics; Computer science","score_opus":0.020303958613954003,"score_gpt":0.23548794102627882,"score_spread":0.2151839824123248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2285787321","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":[0.9901122,0.000013040215,0.0000045111406,0.00883293,0.0000560833,0.00059317105,0.000009355291,0.000008844733,0.00036985124],"genre_scores_gemma":[0.9984863,0.00009219286,0.00087479595,0.0002450227,0.00014877813,0.000020036656,0.0000287137,0.0000018699022,0.0001023173],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99822545,0.00025702952,0.0005626441,0.0002655556,0.00028316176,0.00040613933],"domain_scores_gemma":[0.9985133,0.00030278595,0.0006353631,0.000067647205,0.00027657166,0.0002043506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043711608,0.00023753499,0.00042237184,0.000060166007,0.00019551256,0.00017323914,0.00069433445,0.00006172635,0.000039678773],"category_scores_gemma":[0.000052568656,0.00007393831,0.00016382638,0.00063889095,0.0001298717,0.0005694513,0.00006785345,0.00027379367,0.000022595284],"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":[0.0004659186,0.0008645725,0.07813707,0.000013558258,0.0001978164,0.000014575573,0.009676586,0.0010669953,0.0462664,0.0009390353,0.001196627,0.8611608],"study_design_scores_gemma":[0.00018826847,0.002527339,0.9437019,0.00006950933,0.000020891031,0.000042900694,0.050783806,0.000016272686,0.0014007326,0.000078913865,0.0009351543,0.00023427221],"about_ca_topic_score_codex":0.002270965,"about_ca_topic_score_gemma":0.0021826916,"teacher_disagreement_score":0.8655649,"about_ca_system_score_codex":0.00025294977,"about_ca_system_score_gemma":0.000034405202,"threshold_uncertainty_score":0.34330347},"labels":[],"label_agreement":null},{"id":"W2293649545","doi":"10.1093/ajae/aaw041","title":"Agglomeration Effects in Ontario's Dairy Farming","year":2016,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Inefficiency; Economies of agglomeration; Agriculture; Production (economics); Dairy farming; Agricultural economics; Heteroscedasticity; Economics; Agricultural science; Business; Function (biology); Economic geography; Microeconomics; Econometrics; Geography; Environmental science","score_opus":0.021912494572551438,"score_gpt":0.2765660719298119,"score_spread":0.25465357735726046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293649545","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":[0.99612546,0.000031109135,0.0011289505,0.0018159876,0.00039649915,0.000050886432,8.805774e-7,0.000004628545,0.00044560613],"genre_scores_gemma":[0.99755156,0.000022760754,0.0016986233,0.00018990862,0.00010934137,9.1150383e-7,3.7713826e-7,0.0000046175405,0.0004219284],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99787635,0.00018836359,0.0011284519,0.00025102374,0.00032308477,0.00023274373],"domain_scores_gemma":[0.9965933,0.0013013796,0.0015122038,0.00020114408,0.00027016518,0.000121827696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016131551,0.00014158429,0.0005434182,0.00035528207,0.00006550782,0.00014993433,0.00056987425,0.000033139073,0.00007748061],"category_scores_gemma":[0.00088734034,0.0000656724,0.00023637111,0.0005470958,0.00015924484,0.00086094934,0.0000520912,0.00017656479,0.00007243822],"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":[0.00012230797,0.00017388618,0.35586536,0.0000018769523,0.00012547497,0.000040443636,0.0031318092,0.018416151,0.017063167,0.001414941,0.0012982172,0.60234636],"study_design_scores_gemma":[0.00053010316,0.00039446654,0.9927465,0.000060570866,0.000024599207,0.00012782974,0.0010237602,0.000086497195,0.00092954293,0.0015958677,0.0022807717,0.00019950863],"about_ca_topic_score_codex":0.0021743944,"about_ca_topic_score_gemma":0.034564033,"teacher_disagreement_score":0.6368811,"about_ca_system_score_codex":0.0005997937,"about_ca_system_score_gemma":0.00016578224,"threshold_uncertainty_score":0.9830527},"labels":[],"label_agreement":null},{"id":"W2334483474","doi":"10.1093/ajae/aav065","title":"Bayesian Estimation of Possibly Similar Yield Densities: Implications for Rating Crop Insurance Contracts","year":2015,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Ministry of Agriculture, Food and Rural Affairs","funders":"","keywords":"Crop insurance; Actuarial science; Sample (material); Insurance policy; Government (linguistics); Agriculture; Yield (engineering); Econometrics; Economics; Nonparametric statistics; Business; Geography","score_opus":0.020458691589797344,"score_gpt":0.23545780954805562,"score_spread":0.21499911795825827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2334483474","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":[0.9956411,0.00016824527,0.00024415998,0.0033749035,0.0001517562,0.0002158575,0.000079843274,0.000013853207,0.000110278364],"genre_scores_gemma":[0.99588054,0.0001555545,0.0034086762,0.00016555031,0.00031851017,0.0000068525574,0.00002355272,0.000001398996,0.000039341085],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99871004,0.00004530401,0.0007161057,0.00017487336,0.00010310581,0.00025058535],"domain_scores_gemma":[0.99724936,0.00048399257,0.0013460644,0.000051449777,0.00063552585,0.00023362404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028298466,0.00017818293,0.00045741198,0.000019232037,0.00015251442,0.00006822669,0.000328202,0.000060941427,0.0000048638512],"category_scores_gemma":[0.00030368642,0.00006156562,0.00021624519,0.0002695486,0.00017593532,0.0004961883,0.000029594672,0.00013255348,0.000001839023],"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":[0.00061503926,0.00043442694,0.0690058,0.000035990746,0.00029254728,0.000003728753,0.0026812672,0.14987773,0.27007487,0.0019783136,0.0060097454,0.49899054],"study_design_scores_gemma":[0.0003770126,0.0018643192,0.9811383,0.00008311711,0.000051287574,0.0002177631,0.007759584,0.000510167,0.0062538497,0.0007755649,0.0006319321,0.00033708656],"about_ca_topic_score_codex":0.00012953168,"about_ca_topic_score_gemma":0.0001523717,"teacher_disagreement_score":0.9121325,"about_ca_system_score_codex":0.00008613391,"about_ca_system_score_gemma":0.000049353952,"threshold_uncertainty_score":0.25105733},"labels":[],"label_agreement":null},{"id":"W2616455531","doi":"10.1093/ajae/aax027","title":"Spatial Patterns of Market Participation and Resource Extraction: Fuelwood Collection in Northern Uganda","year":2017,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Conservation, Biodiversity, and Resource 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":"Nickel Institute","funders":"International Institute for Applied Systems Analysis; National Science Foundation","keywords":"Resource (disambiguation); Natural resource; Stock (firearms); Natural resource economics; Business; Economics; Geography; Ecology","score_opus":0.00785723590000881,"score_gpt":0.20056449201933385,"score_spread":0.19270725611932504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616455531","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":[0.9977254,0.0000056951453,0.00003221287,0.0009451297,0.000069203576,0.00006433525,0.0000025814263,0.0000017473836,0.001153675],"genre_scores_gemma":[0.9995349,0.00011213069,0.00010113671,0.000033046606,0.000046911522,7.707783e-7,0.0000013609964,0.0000020872667,0.00016766404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945456,0.000037135393,0.00025466838,0.00009479815,0.00007173732,0.00008711535],"domain_scores_gemma":[0.99905,0.000026950744,0.0007682152,0.00008613457,0.00001733444,0.00005134783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017362607,0.000067240166,0.00015066401,0.00003263434,0.0001530463,0.00004488393,0.00013095578,0.000018534585,0.00008071663],"category_scores_gemma":[0.00002246423,0.000050627146,0.000042824686,0.000036439247,0.00012937358,0.00023259569,0.00007865132,0.00006890969,0.0000023011598],"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":[0.00006198136,0.00003460043,0.97595173,0.0000028574555,0.000016111366,0.0000013277946,0.0004881094,0.0006919384,0.00010709474,5.313829e-7,0.000072324954,0.022571402],"study_design_scores_gemma":[0.00034179355,0.00018184581,0.99582213,0.000011138145,0.000021260428,0.000011974894,0.0019720378,0.00015228271,0.000104233404,0.000007765373,0.0013051222,0.0000684182],"about_ca_topic_score_codex":0.0027640462,"about_ca_topic_score_gemma":0.012848691,"teacher_disagreement_score":0.022502983,"about_ca_system_score_codex":0.00013231677,"about_ca_system_score_gemma":0.0000059290333,"threshold_uncertainty_score":0.7169871},"labels":[],"label_agreement":null},{"id":"W2770269965","doi":"10.1093/ajae/aax070","title":"Ownership Restrictions and Farmland Values: Evidence from the 2003 Saskatchewan Farm Security Act Amendment","year":2017,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Agricultural Economics and Policy","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":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Land Values; Amendment; Agricultural economics; Business; Value (mathematics); Property value; Economics; Land use; Law; Political science; Finance; Real estate","score_opus":0.02588646503168158,"score_gpt":0.238053622863649,"score_spread":0.21216715783196743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770269965","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":[0.98632616,0.00035254555,5.802792e-7,0.012338011,0.0003525633,0.00016215982,0.00009412112,0.000011454848,0.0003624126],"genre_scores_gemma":[0.99444515,0.0031839632,0.00015820606,0.00050791603,0.0015180067,0.00000481056,0.000015382348,0.0000017142994,0.00016484683],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99859387,0.00011210392,0.00055527134,0.00029215112,0.000105440886,0.00034116922],"domain_scores_gemma":[0.99729335,0.0004920507,0.0015724709,0.00016075716,0.00020095876,0.0002804234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036937286,0.0002640842,0.0004570712,0.000010394478,0.0009336285,0.0006569586,0.0009197483,0.000070410424,0.00005508393],"category_scores_gemma":[0.00018269717,0.00007661507,0.00019507163,0.00012278551,0.00039714694,0.0006040307,0.00017944492,0.0003664853,0.0000139348285],"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":[0.00048790456,0.00030333895,0.4521276,0.000011320639,0.001037199,0.00002003567,0.01200478,0.00036578742,0.044390436,0.0013835004,0.015330731,0.47253737],"study_design_scores_gemma":[0.00022128601,0.0006913049,0.97027904,0.00006325876,0.0000863496,0.0000927647,0.01728109,0.000014383764,0.0005459107,0.000575462,0.009834622,0.0003145228],"about_ca_topic_score_codex":0.008439032,"about_ca_topic_score_gemma":0.0076548103,"teacher_disagreement_score":0.51815146,"about_ca_system_score_codex":0.00013401378,"about_ca_system_score_gemma":0.000048101225,"threshold_uncertainty_score":0.9981639},"labels":[],"label_agreement":null},{"id":"W2791907302","doi":"10.1093/ajae/aax093","title":"Redistributive Land Reform and Structural Change in Japan, South Korea, and Taiwan","year":2017,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Leasehold estate; Economics; Land reform; Per capita income; Per capita; Agriculture; Economic reform; Development economics; Stimulus (psychology); Geography; Political science; China","score_opus":0.012650024142919568,"score_gpt":0.20950471010522403,"score_spread":0.19685468596230446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791907302","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":[0.99575865,0.00007468567,2.6155897e-8,0.0037952862,0.00012054688,0.00007618344,0.00005156254,0.0000037075142,0.00011936861],"genre_scores_gemma":[0.9987424,0.00058187026,0.000038214228,0.00006883668,0.00049631717,0.000001245055,0.000012792075,7.2830784e-7,0.000057600933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929875,0.000015154327,0.00027490742,0.00014880643,0.000053460422,0.00020890984],"domain_scores_gemma":[0.999112,0.00001731001,0.0006212607,0.000042778625,0.00005288131,0.00015377675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012910715,0.00013891561,0.00033374465,0.000012772435,0.00029425145,0.00016715127,0.00020968866,0.00005011703,0.00000954509],"category_scores_gemma":[0.000010803824,0.000026283333,0.000061043145,0.000038639257,0.00030073774,0.0004855004,0.00008585304,0.00016168272,6.8761847e-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":[0.000117137635,0.000020386335,0.6027779,0.000005476935,0.000059657534,0.000011692241,0.0023428185,0.000002437839,0.0007862856,0.0002605115,0.00001633809,0.39359936],"study_design_scores_gemma":[0.0002901888,0.0005071008,0.99396944,0.00002306597,0.00001114051,0.00019972047,0.0039099227,0.000013283353,0.00006458082,0.0002648622,0.00060428056,0.00014243186],"about_ca_topic_score_codex":0.0020559442,"about_ca_topic_score_gemma":0.0031437094,"teacher_disagreement_score":0.39345694,"about_ca_system_score_codex":0.000070487964,"about_ca_system_score_gemma":0.0000062608387,"threshold_uncertainty_score":0.31079862},"labels":[],"label_agreement":null},{"id":"W2802030834","doi":"10.1093/ajae/aay003","title":"Measuring Potential Rents in the North Sea Herring Fishery","year":2018,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":14,"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":"Economic rent; Fishery; Economics; Herring; Stock (firearms); Population; Fish stock; Fishing; Marginal cost; Order (exchange); Fish <Actinopterygii>; Microeconomics; Geography; Biology; Finance","score_opus":0.014130171219358462,"score_gpt":0.1973638030857647,"score_spread":0.18323363186640623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802030834","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":[0.97780085,0.0000022015577,0.000009451498,0.00071157416,0.000110679044,0.000053502277,0.0000010271482,0.0000025858062,0.021308146],"genre_scores_gemma":[0.99897367,0.00006711102,0.00028258405,0.00023832919,0.00031447542,0.0000013461892,0.0000012580537,0.000004667027,0.00011658335],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991036,0.00007285538,0.00030357152,0.00011687668,0.0001630282,0.00024005696],"domain_scores_gemma":[0.99952334,0.000028586888,0.00023675038,0.00010839672,0.000022148846,0.000080792735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030156373,0.00009197233,0.000165167,0.000027609432,0.000091108705,0.0000751664,0.0004851948,0.000016107551,0.00044081456],"category_scores_gemma":[0.000024056175,0.000051567655,0.0000808642,0.00021938083,0.00028672843,0.0003824483,0.00013902676,0.00023297536,0.000050535513],"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":[0.000048781043,0.000043406355,0.9347854,0.0000013775061,0.000021702372,0.000014406454,0.0007161442,0.001054526,0.00012732988,0.0000035181004,0.001475225,0.061708175],"study_design_scores_gemma":[0.00016423485,0.0002926239,0.9921259,0.0000033607466,0.0000056449,0.0001376068,0.0015220356,0.00015158566,0.000046396122,0.00001715699,0.005438514,0.00009489376],"about_ca_topic_score_codex":0.00080537173,"about_ca_topic_score_gemma":0.0014969916,"teacher_disagreement_score":0.06161328,"about_ca_system_score_codex":0.00016482042,"about_ca_system_score_gemma":0.000012642651,"threshold_uncertainty_score":0.482661},"labels":[],"label_agreement":null},{"id":"W2806990741","doi":"10.1093/ajae/aay023","title":"A Century of U.S. Farm Productivity Growth: A Surge Then a Slowdown","year":2018,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":38,"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":"University of California, Davis; Cooperative State Research, Education, and Extension Service; Giannini Foundation of Agricultural Economics; Agricultural Research Service; University of Wyoming; U.S. Department of Agriculture","keywords":"Productivity; Slowdown; Agricultural economics; Economics; Quarter (Canadian coin); Total factor productivity; Agricultural productivity; Agriculture; Population growth; Multifactor productivity; Population; Geography; Demography; Macroeconomics; Economic growth","score_opus":0.009300838694216407,"score_gpt":0.17895902242271555,"score_spread":0.16965818372849914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806990741","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":[0.98342395,0.00083469256,0.000042681142,0.0014752574,0.0009389489,0.00017635665,0.00014247742,0.000015836855,0.0129498085],"genre_scores_gemma":[0.9953716,0.001449179,0.0017029822,0.00019725581,0.0010962144,0.0000043489304,0.000010948369,0.000023279541,0.00014419884],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9974118,0.000041318326,0.0016420739,0.0004263233,0.000045392044,0.00043310382],"domain_scores_gemma":[0.99551475,0.00011272242,0.0034458642,0.00030772763,0.00039658247,0.00022237735],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008762176,0.000317648,0.0012474081,0.00026831712,0.00009940633,0.00007613866,0.00058256404,0.00009445435,0.000106508676],"category_scores_gemma":[0.00017022168,0.0002459021,0.00052156596,0.0003793625,0.00047704543,0.00063198415,0.00011769565,0.00029508056,0.000108488115],"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":[0.002623353,0.0035650637,0.33777082,0.00029441007,0.0061358362,0.00003147759,0.020853067,0.00032961642,0.010567974,0.5111395,0.024889134,0.08179971],"study_design_scores_gemma":[0.0025875568,0.005328598,0.8603542,0.00012336265,0.00014950291,0.0007221687,0.004210409,0.00003412619,0.0061796214,0.015854103,0.10266962,0.0017867617],"about_ca_topic_score_codex":0.0002784414,"about_ca_topic_score_gemma":0.000115620416,"teacher_disagreement_score":0.52258337,"about_ca_system_score_codex":0.00019823216,"about_ca_system_score_gemma":0.00006202822,"threshold_uncertainty_score":0.99999934},"labels":[],"label_agreement":null},{"id":"W2883505815","doi":"10.1093/ajae/aaz001","title":"Price Discovery in Agricultural Futures Markets: Should We Look beyond the Best Bid‐Ask Spread?","year":2019,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Lakehead University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Price discovery; Futures contract; Ask price; Asset (computer security); Order (exchange); Financial economics; Economics; Business; Finance; Computer science","score_opus":0.010139592557894376,"score_gpt":0.20027010132404247,"score_spread":0.1901305087661481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883505815","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":[0.9759751,0.0013606641,0.000030835876,0.0051581925,0.0010823741,0.000326224,0.0001315182,0.000009455194,0.015925623],"genre_scores_gemma":[0.9945162,0.0024878008,0.0003350121,0.00050461106,0.00044388245,0.0000076222454,0.000018326718,0.00002325386,0.0016632779],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99729544,0.00008190731,0.0015569517,0.00045972186,0.00007961597,0.0005263595],"domain_scores_gemma":[0.9969904,0.00031224388,0.002037995,0.0003932657,0.00009798397,0.00016811298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010194335,0.00038344358,0.0010374651,0.00019936853,0.00011857263,0.00033167237,0.0008453313,0.00011696513,0.00019648361],"category_scores_gemma":[0.00007813385,0.00023187019,0.0004734982,0.0004783981,0.0002002562,0.0012261173,0.00015646568,0.00069038494,0.00008343575],"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":[0.0005656168,0.00063858373,0.92904764,0.000095855146,0.00076908944,0.000015761496,0.0025610288,0.0027651393,0.0003319904,0.045402907,0.0050010057,0.012805386],"study_design_scores_gemma":[0.0009809698,0.0004890764,0.96783245,0.00006470209,0.00003129391,0.00016332496,0.010939158,0.0011173466,0.000029669285,0.00508348,0.012598972,0.0006695566],"about_ca_topic_score_codex":0.00031869998,"about_ca_topic_score_gemma":0.0002752417,"teacher_disagreement_score":0.040319428,"about_ca_system_score_codex":0.00044359773,"about_ca_system_score_gemma":0.0000581484,"threshold_uncertainty_score":0.9455392},"labels":[],"label_agreement":null},{"id":"W2884086991","doi":"10.1093/ajae/aay050","title":"Money Matters: The Role of Yields and Profits in Agricultural Technology Adoption","year":2018,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":106,"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":"Consortium of International Agricultural Research Centers; Ethiopian Institute of Agricultural Research; Bill and Melinda Gates Foundation","keywords":"Yield (engineering); Economics; Agriculture; Panel data; Public economics; Econometrics","score_opus":0.008405854834510432,"score_gpt":0.2038473044602368,"score_spread":0.19544144962572638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884086991","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":[0.98450863,0.00027770395,5.483512e-7,0.014496222,0.00009613002,0.00014516657,0.000010077992,0.000010052071,0.000455486],"genre_scores_gemma":[0.99870425,0.0002772386,0.00037265278,0.00023519136,0.0003626692,0.0000051832935,0.00000769671,9.355664e-7,0.00003420699],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988368,0.00006915226,0.0006116855,0.00016678339,0.00009408518,0.00022149447],"domain_scores_gemma":[0.9982654,0.00017839487,0.0010836907,0.000048623922,0.00036460438,0.000059280625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002754356,0.00016653129,0.0003383311,0.00004455629,0.0001362278,0.000067798734,0.00033673382,0.00008199408,0.00004249374],"category_scores_gemma":[0.000043363645,0.000046011613,0.00008251106,0.0008561122,0.00039601058,0.0005594731,0.00007981604,0.0002661349,0.0000057484654],"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":[0.00020366411,0.00022590712,0.07332534,0.00000918538,0.00019893402,0.0000025063114,0.0015347728,0.00008904817,0.49618322,0.007271948,0.0012732502,0.41968223],"study_design_scores_gemma":[0.00014738957,0.0012874487,0.95299274,0.000043842178,0.000032261643,0.00032475774,0.029653069,0.000011665113,0.009159729,0.0007051239,0.0054451423,0.00019683514],"about_ca_topic_score_codex":0.00027624756,"about_ca_topic_score_gemma":0.0006129682,"teacher_disagreement_score":0.8796674,"about_ca_system_score_codex":0.000049377024,"about_ca_system_score_gemma":0.000010119004,"threshold_uncertainty_score":0.18762991},"labels":[],"label_agreement":null},{"id":"W2901707827","doi":"10.1093/ajae/aay076","title":"Spatial Renewable Resource Extraction under Possible Regime Shift","year":2018,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; European Association of Environmental and Resource Economists; University of California, Santa Barbara; Agence Nationale de la Recherche; University of Alberta","keywords":"Resource (disambiguation); Renewable energy; Extraction (chemistry); Computer science; Renewable resource; Natural resource economics; Engineering; Computer network; Electrical engineering; Economics","score_opus":0.004233057124632696,"score_gpt":0.19777078142415971,"score_spread":0.193537724299527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901707827","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":[0.9862043,0.000013747172,0.000753032,0.0010296928,0.00028250372,0.00005740331,0.0000025877675,0.000009016,0.011647672],"genre_scores_gemma":[0.9972811,0.00005290782,0.0012731063,0.00018837307,0.0004176676,7.632067e-7,0.0000017225818,0.000008605834,0.0007757873],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9989856,0.000048314338,0.0004164257,0.00018833965,0.00011938843,0.00024191602],"domain_scores_gemma":[0.9988458,0.000044388,0.0007769504,0.0001421885,0.000025626545,0.00016502403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002489279,0.00013066079,0.00023961582,0.000034484117,0.00015732239,0.000070177695,0.0003129151,0.000039810715,0.0002612242],"category_scores_gemma":[0.000012628689,0.00008569939,0.00010829329,0.0001681749,0.00034237743,0.0004074752,0.00007448409,0.00013995358,0.00014941106],"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":[0.0010543296,0.00086832826,0.18238801,0.00002976965,0.0005455914,0.00006859128,0.0059276465,0.55960685,0.077194914,0.0016808248,0.034919254,0.1357159],"study_design_scores_gemma":[0.0006206509,0.002193339,0.96046823,0.0000614118,0.00005877005,0.001171127,0.004552718,0.002568908,0.0038120844,0.0009258248,0.022980465,0.00058648817],"about_ca_topic_score_codex":0.0017486358,"about_ca_topic_score_gemma":0.002056942,"teacher_disagreement_score":0.7780802,"about_ca_system_score_codex":0.00031978183,"about_ca_system_score_gemma":0.000022485803,"threshold_uncertainty_score":0.34947196},"labels":[],"label_agreement":null},{"id":"W2903214105","doi":"10.1111/ajae.12403","title":"Rainfall shocks and risk aversion: Evidence from Southeast Asia","year":2023,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":30,"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":"Risk aversion (psychology); Economics; Poverty; Loss aversion; Econometrics; Microeconomics; Financial economics; Expected utility hypothesis; Economic growth","score_opus":0.010725761999020884,"score_gpt":0.19636305770195156,"score_spread":0.18563729570293067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903214105","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":[0.99670535,0.000355255,0.0000016168785,0.0023876927,0.00022307018,0.00009607568,0.00006652945,0.000042323645,0.00012211014],"genre_scores_gemma":[0.9888531,0.009984117,0.0002244957,0.000047638438,0.0006938118,0.0000018896534,0.000019775684,0.0000013331959,0.00017383276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857074,0.0001222429,0.00049395295,0.00030241223,0.00017087275,0.0003397785],"domain_scores_gemma":[0.9980072,0.0006737446,0.0008104728,0.00005675542,0.00014581183,0.0003060163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032116688,0.00022991942,0.00043703674,0.000024516217,0.00028390362,0.00012441365,0.00044278643,0.0000702219,0.00007606887],"category_scores_gemma":[0.00012679609,0.00007000357,0.00021961998,0.0004957646,0.00024242444,0.00051090406,0.00014524264,0.00030284878,0.000088504275],"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":[0.0003202232,0.000078440775,0.47581953,0.0000064806545,0.0003031806,0.00004075714,0.0019595984,0.0022733354,0.066070154,0.00010980115,0.00717491,0.4458436],"study_design_scores_gemma":[0.00013132901,0.0005524738,0.9776099,0.000062479885,0.000055097888,0.00009841086,0.018709907,0.00006185946,0.00051792455,0.00011026659,0.0018450348,0.00024536185],"about_ca_topic_score_codex":0.00086059805,"about_ca_topic_score_gemma":0.0004018969,"teacher_disagreement_score":0.50179034,"about_ca_system_score_codex":0.000055896195,"about_ca_system_score_gemma":0.000015296631,"threshold_uncertainty_score":0.28546625},"labels":[],"label_agreement":null},{"id":"W2921479879","doi":"10.1093/ajae/aaz004","title":"On the Treatment of Heteroscedasticity in Crop Yield Data","year":2019,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Heteroscedasticity; Econometrics; Volatility (finance); Economics; Crop insurance; Yield (engineering); Generalization; Autoregressive conditional heteroskedasticity; Asymmetry; Statistics; Mathematics; Agriculture; Geography","score_opus":0.024757425066222437,"score_gpt":0.21757797970300455,"score_spread":0.1928205546367821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921479879","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":[0.99773926,0.00008710152,3.0480615e-7,0.0015672086,0.00016212888,0.00015936504,0.000039900457,0.0000037312454,0.00024097595],"genre_scores_gemma":[0.9987992,0.0008047263,0.00003673705,0.00011633385,0.00014440987,0.0000012654231,0.000010756861,6.490127e-7,0.000085894964],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989533,0.00006257565,0.00046784693,0.00020165015,0.0001099014,0.00020476391],"domain_scores_gemma":[0.9984094,0.00070621405,0.00062576804,0.00011663377,0.000066496184,0.00007548957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015112197,0.0001586717,0.00040062953,0.0000128808815,0.000044219432,0.0000322806,0.00069759256,0.000036016183,0.00010388142],"category_scores_gemma":[0.000044194378,0.000035288274,0.00014211952,0.00023426108,0.00012740692,0.00019837682,0.00005412774,0.0001269495,0.000022397935],"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":[0.0011291564,0.0028287268,0.30094662,0.000016088861,0.0003881758,0.00001996744,0.001880902,0.020041933,0.32326877,0.0030831245,0.0026585774,0.34373796],"study_design_scores_gemma":[0.00019465694,0.0044818516,0.9870208,0.000048337206,0.000017006041,0.00004010924,0.00287719,0.000061999795,0.003639163,0.000067247995,0.0013852464,0.00016641672],"about_ca_topic_score_codex":0.0003720252,"about_ca_topic_score_gemma":0.0004975477,"teacher_disagreement_score":0.68607414,"about_ca_system_score_codex":0.00007934597,"about_ca_system_score_gemma":0.000011570348,"threshold_uncertainty_score":0.14390141},"labels":[],"label_agreement":null},{"id":"W2971521315","doi":"10.1093/ajae/aaz044","title":"Productivity Spillovers From Pollution Reduction: Reducing Coal Use Increases Crop Yields","year":2019,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Environmental science; Crop; Economics; Productivity; Yield (engineering); Agricultural economics; Coal; Range (aeronautics); Shock (circulatory); Pollution; Agronomy; Chemistry; Biology; Ecology","score_opus":0.03178401909374369,"score_gpt":0.1864191163624197,"score_spread":0.15463509726867603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971521315","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":[0.9966372,0.00019358937,0.000059510352,0.0009425786,0.0010896651,0.00015271567,0.00010460142,0.000012215644,0.00080788],"genre_scores_gemma":[0.9968642,0.00044714485,0.0014409898,0.00012618679,0.0006321846,0.0000022391332,0.0000341489,0.000017396194,0.00043550832],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984355,0.000033697866,0.0008948992,0.00037145277,0.000034542663,0.00022988724],"domain_scores_gemma":[0.997765,0.000048815255,0.0017916015,0.00023115371,0.000032743737,0.00013070181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035665324,0.00019763898,0.0005955382,0.00012058105,0.00008014857,0.00011442571,0.00019883038,0.000066863155,0.00038922712],"category_scores_gemma":[0.000058122452,0.00018522091,0.00023165633,0.000110302164,0.00014582489,0.0016534919,0.000051326235,0.00022924821,0.00035900902],"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":[0.00032539424,0.00047055536,0.8455803,0.000015617543,0.00078367046,0.0000031618997,0.0013175035,0.12519756,0.006694681,0.0072302055,0.0032236539,0.009157693],"study_design_scores_gemma":[0.0005145499,0.00042768347,0.9924661,0.000024580107,0.000029284989,0.00010866923,0.0014108984,0.00015189788,0.0013228416,0.00071418856,0.002485756,0.0003435722],"about_ca_topic_score_codex":0.0024262893,"about_ca_topic_score_gemma":0.000020842519,"teacher_disagreement_score":0.14688577,"about_ca_system_score_codex":0.0006470178,"about_ca_system_score_gemma":0.000032097956,"threshold_uncertainty_score":0.7553089},"labels":[],"label_agreement":null},{"id":"W2987943169","doi":"10.1111/ajae.12533","title":"Assessing the impacts of equivalency agreements in international organic trade","year":2025,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Institute of Food and Agriculture; Ministry of Education of the People's Republic of China; U.S. Department of Agriculture","keywords":"International trade; Environmental science; Economics","score_opus":0.02730241877829335,"score_gpt":0.25156708073567147,"score_spread":0.22426466195737813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987943169","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":[0.9862081,0.00046866373,0.000073061456,0.004780661,0.0008489646,0.00007718321,0.000024253643,0.0000032830799,0.007515845],"genre_scores_gemma":[0.99775255,0.0012371141,0.000432216,0.0004076038,0.00010763707,0.0000012394975,0.000003985568,0.000006752012,0.000050894236],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982069,0.000021264244,0.0013453846,0.00016964323,0.000025523277,0.00023126688],"domain_scores_gemma":[0.9980335,0.000092411705,0.0016290423,0.00014920167,0.000035563025,0.000060247607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000497918,0.00014581037,0.0005476336,0.00023099851,0.000042912936,0.00011622377,0.00062273536,0.000044163808,0.000089636924],"category_scores_gemma":[0.00008870688,0.000109608285,0.00018215617,0.0003149525,0.0001259654,0.00072491117,0.000068623114,0.00022662165,0.000013895134],"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":[0.00009636838,0.0005252794,0.8726654,0.00005083063,0.0012073251,0.000008161534,0.0024767665,0.005131542,0.001729436,0.094406396,0.002204293,0.019498207],"study_design_scores_gemma":[0.0007329219,0.00015478466,0.98590606,0.00006525408,0.000017242099,0.00003752913,0.0044245976,0.00015674486,0.00035212183,0.005244696,0.0027346883,0.00017335005],"about_ca_topic_score_codex":0.00014611591,"about_ca_topic_score_gemma":0.00006182176,"teacher_disagreement_score":0.113240674,"about_ca_system_score_codex":0.00036841346,"about_ca_system_score_gemma":0.00006282928,"threshold_uncertainty_score":0.44696963},"labels":[],"label_agreement":null},{"id":"W3002037937","doi":"10.1002/ajae.12078","title":"The Power of Stories: Narratives and Information Framing Effects in Science Communication","year":2020,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":92,"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":"Narrative; Framing (construction); Psychology; Agency (philosophy); Multinomial logistic regression; Science communication; Framing effect; Sociology; Social psychology; Computer science; Linguistics; Social science; History; Mathematics education; Science education","score_opus":0.06002072855429433,"score_gpt":0.3306134997032663,"score_spread":0.27059277114897196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002037937","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":[0.987383,0.00014802969,0.000013841743,0.010996917,0.000049075294,0.00006551272,8.4110377e-7,0.000002507356,0.00134026],"genre_scores_gemma":[0.9930934,0.006229704,0.00045872713,0.00019396261,0.000020165995,9.531371e-7,8.68388e-7,8.7222196e-7,0.0000013976793],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99944544,0.00012257443,0.00025315408,0.000030415762,0.00007505092,0.000073377334],"domain_scores_gemma":[0.9989344,0.00024197697,0.0005264318,0.00006232146,0.00017577318,0.00005908199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006167783,0.000037129204,0.00010708953,0.000035576428,0.00030086742,0.00008531267,0.00029246876,0.000013010794,0.0000036828255],"category_scores_gemma":[0.00030255807,0.000023516504,0.000021799424,0.00027305208,0.00090186676,0.0012645862,0.000046230634,0.00010494021,8.95966e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004468931,0.000014417339,0.005763832,0.000007972902,0.0000109265775,4.3522775e-8,0.9075864,0.00013498818,0.0009387863,0.02039301,0.00006157321,0.06504336],"study_design_scores_gemma":[0.000171681,0.00019381843,0.27002496,0.000032643027,0.0000032046692,0.0000018457663,0.71896905,0.000042278047,0.00005831387,0.000195905,0.0102432845,0.000062987594],"about_ca_topic_score_codex":0.00014374162,"about_ca_topic_score_gemma":0.0003147903,"teacher_disagreement_score":0.26426113,"about_ca_system_score_codex":0.00009538914,"about_ca_system_score_gemma":0.00006931587,"threshold_uncertainty_score":0.33229655},"labels":[],"label_agreement":null},{"id":"W3006153018","doi":"10.1002/ajae.12028","title":"A Bayesian State‐Space Approach for Invasive Species Management: The Case of Spotted Wing Drosophila","year":2020,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Insect behavior and control techniques","field":"Agricultural and Biological Sciences","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":"Incentive; Integrated pest management; Population; Bayesian inference; Bayesian probability; Markov chain Monte Carlo; Business; Risk analysis (engineering); Operations research; Computer science; Economics; Microeconomics; Engineering; Ecology; Biology","score_opus":0.01580334303634147,"score_gpt":0.19801942587623816,"score_spread":0.1822160828398967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006153018","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":[0.9960048,0.000032905107,0.00008370734,0.0030396772,0.00003533462,0.00031879594,0.000055143882,0.000016373331,0.0004132657],"genre_scores_gemma":[0.99739504,0.00016721808,0.0016916632,0.00041311226,0.00027523085,0.000011015793,0.000012542651,0.0000017561567,0.00003241667],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990668,0.00005668386,0.00044960665,0.00015970944,0.00006184673,0.00020532154],"domain_scores_gemma":[0.9988098,0.00016208622,0.00073060754,0.000043309872,0.00014344015,0.00011072444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017095427,0.00016060733,0.00038782097,0.000013475563,0.00014291162,0.00006653032,0.0003644279,0.00002830351,0.000013232522],"category_scores_gemma":[0.000022149157,0.0000514752,0.00028516335,0.00023698556,0.0001603163,0.00018087239,0.00005425423,0.0001426605,4.7037946e-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":[0.0013771891,0.00046339995,0.0077434303,0.00011940972,0.000998275,0.0003315751,0.006650184,0.002735577,0.7112031,0.008682806,0.0036095069,0.25608557],"study_design_scores_gemma":[0.0022322198,0.010500371,0.80535764,0.00011855551,0.0008286014,0.0041472157,0.13607816,0.0011604934,0.031717498,0.0017302309,0.0045711827,0.0015577988],"about_ca_topic_score_codex":0.00009194871,"about_ca_topic_score_gemma":0.00005584138,"teacher_disagreement_score":0.7976142,"about_ca_system_score_codex":0.000039161452,"about_ca_system_score_gemma":0.000009384185,"threshold_uncertainty_score":0.20990978},"labels":[],"label_agreement":null},{"id":"W3006393797","doi":"10.1093/ajae/aaz015","title":"The Role of Weather on Schooling and Work of Young Adults in Madagascar","year":2019,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Department for International Development; Agence Nationale de la Recherche; International Development Research Centre; Government of Canada","keywords":"Work (physics); Geography; Meteorology; Climatology; Engineering; Geology","score_opus":0.0023211841901904463,"score_gpt":0.16187096684417587,"score_spread":0.15954978265398542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006393797","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":[0.99824625,0.0008196446,3.9879268e-8,0.00036463325,0.00009373476,0.000110254834,0.000004653064,0.0000025496877,0.00035822656],"genre_scores_gemma":[0.99782425,0.0019454763,0.00005871727,0.000018558569,0.00009507836,9.114822e-7,0.0000012517746,7.915171e-7,0.00005495372],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899876,0.00005562332,0.00050589116,0.00013654311,0.00011213396,0.00019107308],"domain_scores_gemma":[0.99871325,0.00027564118,0.0007837708,0.00004362763,0.00010779895,0.00007590436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002110761,0.00012926427,0.0003528401,0.000015136034,0.000055075976,0.000025084788,0.00029970985,0.00004067322,0.000010843035],"category_scores_gemma":[0.000027741638,0.00003365676,0.0001296597,0.00026812017,0.00015222502,0.00015207441,0.000045352368,0.00018587975,0.000003909042],"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":[0.00054382865,0.0000964024,0.70122105,0.0000058200308,0.000057742454,0.0000011539006,0.00069520174,0.001431513,0.0456877,0.00056906854,0.000053806492,0.2496367],"study_design_scores_gemma":[0.00016045588,0.00080821465,0.98269963,0.00011116263,0.0000078116955,0.00003060853,0.012406763,0.0000102422155,0.0030871704,0.000089666966,0.00048277059,0.000105527324],"about_ca_topic_score_codex":0.00031621952,"about_ca_topic_score_gemma":0.0002665677,"teacher_disagreement_score":0.28147855,"about_ca_system_score_codex":0.000033812943,"about_ca_system_score_gemma":0.000008563714,"threshold_uncertainty_score":0.1372483},"labels":[],"label_agreement":null},{"id":"W3016097975","doi":"10.1002/ajae.12084","title":"The Effects of Untying International Food Assistance: The Case of Canada","year":2020,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"International Development and Aid","field":"Social 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":"Tying; Margin (machine learning); Commodity; Business; International trade; Economics; International economics; Finance","score_opus":0.0052998360170917694,"score_gpt":0.20765834860044055,"score_spread":0.20235851258334878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016097975","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":[0.9752856,0.00007146673,0.0000069206812,0.021096546,0.0006470632,0.000046899782,0.0000061255787,0.0000011861788,0.002838182],"genre_scores_gemma":[0.99904186,0.00022486174,0.00010589001,0.00027794982,0.0002706469,7.08326e-7,5.3709664e-7,0.0000019550268,0.00007559823],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9993583,0.000058458292,0.0003138358,0.000046048248,0.00012701217,0.00009632028],"domain_scores_gemma":[0.99843794,0.0004763404,0.00075351336,0.000027767404,0.0002454457,0.00005900274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002162836,0.000051817482,0.00013228883,0.0000103107595,0.0001806447,0.000031330448,0.000364175,0.000009687682,0.00000860029],"category_scores_gemma":[0.0002865078,0.000025553216,0.00007334849,0.00009646628,0.00020050115,0.000115597126,0.00002651041,0.00009474164,2.3544952e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065043214,0.00015913704,0.027345626,0.000093757815,0.0044727484,0.00030728048,0.092812814,0.0044132797,0.0035616676,0.64789486,0.067675166,0.15061325],"study_design_scores_gemma":[0.0023516745,0.0022211415,0.33960384,0.0003227605,0.00023097175,0.0007566098,0.45021385,0.00028040074,0.014205806,0.0034231097,0.18546747,0.00092234835],"about_ca_topic_score_codex":0.01549846,"about_ca_topic_score_gemma":0.11428431,"teacher_disagreement_score":0.64447176,"about_ca_system_score_codex":0.00015450692,"about_ca_system_score_gemma":0.0004009015,"threshold_uncertainty_score":0.9910574},"labels":[],"label_agreement":null},{"id":"W3019437960","doi":"10.1111/ajae.12097","title":"“The Effects of Untying International Food Assistance: The Case of Canada” — Authors' Response to Comment","year":2020,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","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":"Pascal (unit); Citation; Library science; Operations research; Computer science; Mathematics","score_opus":0.04085094499644265,"score_gpt":0.3485229030778843,"score_spread":0.30767195808144165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019437960","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":[0.8388066,0.00006524237,0.000021486385,0.15972985,0.000981381,0.00023383494,0.000060091836,0.0000024539836,0.000099055505],"genre_scores_gemma":[0.99467075,0.000067390254,0.00039851834,0.0045957346,0.0002143581,0.0000070651413,0.0000017001581,0.0000051015454,0.00003935551],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9982478,0.00047960837,0.0008673385,0.00008206587,0.000112812,0.0002103529],"domain_scores_gemma":[0.9957923,0.0021386414,0.0013971066,0.00010650438,0.0003312321,0.00023417558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007140398,0.0000902783,0.0002926271,0.000028972185,0.0005503877,0.000009308172,0.00034513805,0.00003046598,0.000016611926],"category_scores_gemma":[0.0009378523,0.000048839545,0.00008560592,0.00014369053,0.0000956201,0.0000759686,0.000093209164,0.0004232548,0.0000014329737],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013255254,0.00033405234,0.028434912,0.00097116217,0.0025951636,0.00023383797,0.22172515,0.012901115,0.0021513654,0.063748516,0.6271196,0.026529863],"study_design_scores_gemma":[0.002910138,0.006208694,0.3474663,0.00073456095,0.00021264482,0.00029581925,0.32491472,0.0004584693,0.00066810724,0.000548221,0.315106,0.00047633017],"about_ca_topic_score_codex":0.013247824,"about_ca_topic_score_gemma":0.07121136,"teacher_disagreement_score":0.3190314,"about_ca_system_score_codex":0.00037994032,"about_ca_system_score_gemma":0.0006296857,"threshold_uncertainty_score":0.993323},"labels":[],"label_agreement":null},{"id":"W3123421005","doi":"10.1093/ajae/aaw059","title":"The Financialization of Food?","year":2016,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":106,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Financialization; Economics; Speculation; Vector autoregression; Equity (law); Futures contract; Monetary economics; Recession; Business cycle; Financial economics; Financial market; Finance; Macroeconomics","score_opus":0.009414365195107804,"score_gpt":0.1797484254297778,"score_spread":0.17033406023467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123421005","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":[0.99428904,0.00029435608,0.0015239267,0.0014604158,0.00037375817,0.000054426193,0.000059405,0.0000029865382,0.0019416662],"genre_scores_gemma":[0.99799055,0.001354062,0.00030811722,0.00003996326,0.00012028222,0.0000011955315,9.514821e-7,0.000006436148,0.0001784394],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998765,0.000020077148,0.0009250848,0.00011307156,0.00002142486,0.00015532784],"domain_scores_gemma":[0.9974794,0.00018085084,0.0020092637,0.0001517622,0.00011880565,0.00005993495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058109075,0.00009486988,0.00037031944,0.00005477949,0.000070023365,0.000028536231,0.00028466323,0.000028508284,0.00002880716],"category_scores_gemma":[0.00017320535,0.000049055205,0.00018937096,0.0001313551,0.00018519563,0.00022364831,0.000031731102,0.00006407287,0.000005713769],"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":[0.00018957877,0.00011517596,0.29997143,0.000014304856,0.00037227556,6.1527754e-7,0.0003913431,0.00011936305,0.00036322934,0.56661284,0.0016985267,0.13015132],"study_design_scores_gemma":[0.00095020974,0.0013932147,0.88098323,0.00004629544,0.00001936722,0.000045066867,0.00044951634,0.000558466,0.00042730916,0.06841269,0.046346076,0.00036855158],"about_ca_topic_score_codex":0.000025526799,"about_ca_topic_score_gemma":0.00004605412,"teacher_disagreement_score":0.58101183,"about_ca_system_score_codex":0.00010406111,"about_ca_system_score_gemma":0.00002744446,"threshold_uncertainty_score":0.20004131},"labels":[],"label_agreement":null},{"id":"W3123481223","doi":"10.1111/j.1467-8276.2004.tb18455.x","title":"Inserting GM Products into the Food Chain: The Market and Welfare Effects of Different Labeling and Regulatory Regimes","year":2004,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","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 Saskatchewan","funders":"","keywords":"Welfare; Business; Food chain; Economics; Market economy; Biology","score_opus":0.006257221565785301,"score_gpt":0.17852644327778028,"score_spread":0.172269221711995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123481223","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":[0.9716507,0.0008781359,5.491534e-7,0.027182592,0.00006159615,0.00019229061,0.0000016107547,0.0000049550626,0.000027531512],"genre_scores_gemma":[0.9985782,0.00083252566,0.00026274746,0.00012365943,0.00018018558,0.0000030995732,9.559866e-7,0.000001644799,0.000016960958],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989928,0.00012863142,0.0003548791,0.00017581473,0.00013393776,0.00021392822],"domain_scores_gemma":[0.99892867,0.00032288526,0.00043432362,0.00006985691,0.00013882124,0.00010545658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035133163,0.00014802048,0.0002851747,0.000012975197,0.00026899134,0.00007856928,0.0003144828,0.00003451588,0.0000053887093],"category_scores_gemma":[0.00016809965,0.000037600566,0.00006523031,0.0001661813,0.00043655434,0.00009648159,0.000155783,0.00022692626,2.987647e-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":[0.00019369074,0.0001726755,0.0076854792,0.00011303475,0.00037871476,0.000005261662,0.005711487,0.00024231343,0.5732293,0.003889788,0.00015875518,0.4082195],"study_design_scores_gemma":[0.00027100078,0.0017093373,0.947311,0.00006270708,0.000037424506,0.000121848156,0.007508439,0.000005368436,0.04181234,0.0007091134,0.00030357897,0.00014785217],"about_ca_topic_score_codex":0.00011686459,"about_ca_topic_score_gemma":0.00014915802,"teacher_disagreement_score":0.9396255,"about_ca_system_score_codex":0.00004574429,"about_ca_system_score_gemma":0.000015108708,"threshold_uncertainty_score":0.20688911},"labels":[],"label_agreement":null},{"id":"W3133547594","doi":"10.1111/ajae.12195","title":"The Transition from Small to Large Farms in Developing Economies: A Welfare Analysis","year":2021,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Purdue Pharma (Canada)","funders":"","keywords":"Economics; Welfare; Inefficiency; Agriculture; Commodity; Poverty; Food security; Pareto principle; Consolidation (business); Production (economics); General equilibrium theory; Agricultural economics; Labour economics; Economic growth; Market economy; Microeconomics","score_opus":0.014544149596990814,"score_gpt":0.21582635984959125,"score_spread":0.20128221025260043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133547594","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":[0.94721735,0.00012953942,0.0000409364,0.05218666,0.00013545956,0.00007269556,0.00006897008,0.0000074759796,0.00014093153],"genre_scores_gemma":[0.9966896,0.00054913375,0.0011702094,0.0011559481,0.0002801842,0.000005553958,0.000108064196,9.110475e-7,0.00004038546],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99861354,0.00012431349,0.0006924463,0.0002222864,0.00007037154,0.00027704382],"domain_scores_gemma":[0.99850357,0.0004190253,0.00061453285,0.00005537485,0.00030221418,0.000105315456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033933486,0.00016135127,0.0004126471,0.000034069504,0.0003079978,0.0002712544,0.00031649382,0.000045613866,0.00012560505],"category_scores_gemma":[0.00005604099,0.00005095077,0.000249434,0.0014892682,0.00003840115,0.00037132524,0.000052774216,0.00020140811,0.00000987076],"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":[0.0008469783,0.0008110732,0.091025956,0.000014070205,0.0063752756,0.00013124547,0.009583861,0.03265017,0.047493372,0.023049034,0.002505959,0.785513],"study_design_scores_gemma":[0.00014341614,0.00015865947,0.9107488,0.000014437283,0.000108860906,0.000033028966,0.030612227,0.000038266437,0.0006056041,0.00017327593,0.057126496,0.00023692042],"about_ca_topic_score_codex":0.0006290138,"about_ca_topic_score_gemma":0.027624626,"teacher_disagreement_score":0.81972283,"about_ca_system_score_codex":0.00015583659,"about_ca_system_score_gemma":0.000026445294,"threshold_uncertainty_score":0.9901187},"labels":[],"label_agreement":null},{"id":"W3135223423","doi":"10.1111/ajae.12203","title":"Hog Barns and Neighboring House Prices: Anticipation and Post‐Establishment Impacts","year":2021,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","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":"Barn; Anticipation (artificial intelligence); Livestock; Agricultural economics; Hedonic pricing; Economics; Geography; Agricultural science; Environmental science; Econometrics; Forestry","score_opus":0.00844975472662563,"score_gpt":0.19966524734603017,"score_spread":0.19121549261940454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135223423","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":[0.9944476,0.00043415162,8.494968e-7,0.004688061,0.00013461082,0.000076081305,0.000032854536,0.000017011855,0.00016878963],"genre_scores_gemma":[0.9943434,0.0040797284,0.0004285366,0.00057572674,0.00051217177,0.000001622059,0.000020173225,0.0000022530674,0.000036407913],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988089,0.00004658623,0.0005412763,0.00023638729,0.00006723818,0.00029956724],"domain_scores_gemma":[0.9985047,0.00017159201,0.00072920555,0.000042700784,0.00022184494,0.00032994314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018426449,0.0002078183,0.00042889977,0.000019993155,0.00015642,0.0002984952,0.00014274147,0.00005336388,0.00003573269],"category_scores_gemma":[0.00006164892,0.00007779256,0.000115442934,0.0001896652,0.00010596696,0.00066449813,0.00010231366,0.00016820565,0.0000040080913],"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":[0.00021860168,0.00035580853,0.0984598,0.000052294163,0.00059128646,0.00005289043,0.0037424595,0.00049000245,0.41844067,0.0053493213,0.0011545536,0.4710923],"study_design_scores_gemma":[0.0002182036,0.0006725317,0.9876974,0.000031295356,0.000046490462,0.0005912061,0.0053061773,0.000016550119,0.0018694658,0.000082263636,0.003203042,0.00026534262],"about_ca_topic_score_codex":0.00042581948,"about_ca_topic_score_gemma":0.0005091818,"teacher_disagreement_score":0.88923764,"about_ca_system_score_codex":0.000080670485,"about_ca_system_score_gemma":0.000029807637,"threshold_uncertainty_score":0.31722885},"labels":[],"label_agreement":null},{"id":"W3206314104","doi":"10.1111/ajae.12268","title":"Using inferred valuation to quantify survey and social desirability bias in stated preference research","year":2021,"lang":"en","type":"article","venue":"American Journal of Agricultural 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":"Global Institute for Water Security; University of Alberta; University of Saskatchewan","funders":"","keywords":"Referendum; Preference; Social desirability bias; Social desirability; Contingent valuation; General Social Survey; Survey data collection; Referent; Social preferences; Valuation (finance); Survey instrument; Survey research; Reporting bias; Social psychology; Psychology; Willingness to pay; Economics; Statistics; Political science; Microeconomics; MEDLINE; Applied psychology; Mathematics","score_opus":0.6932762573644689,"score_gpt":0.3655499014428434,"score_spread":0.32772635592162547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206314104","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":[0.9986005,0.000105022154,0.0002784775,0.00057356857,0.00012701072,0.00012649364,0.00005868452,0.000002724474,0.00012752102],"genre_scores_gemma":[0.99738616,0.0002225873,0.0021823333,0.00008455708,0.000058753467,0.000002669616,0.000029541072,0.000009491373,0.000023897543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99777335,0.0002701435,0.0013639058,0.00029708666,0.000043841406,0.00025168966],"domain_scores_gemma":[0.9981881,0.00023271442,0.0012361245,0.000104797495,0.00014089757,0.000097405136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041960347,0.00012142232,0.00054779305,0.00019855102,0.00010256688,0.00010747621,0.0001370563,0.000055370787,0.00004137808],"category_scores_gemma":[0.00057451456,0.00012012896,0.00007174857,0.00034676734,0.00013838644,0.00043134863,0.00008642681,0.00025417836,0.000030515737],"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":[0.000043502543,0.000072172894,0.9875705,0.0000061562273,0.000035812052,9.698357e-7,0.0013123843,0.006338341,0.0003200982,0.00184177,0.000030339763,0.0024279214],"study_design_scores_gemma":[0.0003745671,0.00015701253,0.99391186,0.000009831254,0.0000035770734,0.000016400674,0.002027833,0.00084098085,0.00017816358,0.0022679954,0.000056863104,0.00015491215],"about_ca_topic_score_codex":0.0009866973,"about_ca_topic_score_gemma":0.0007768984,"teacher_disagreement_score":0.006341332,"about_ca_system_score_codex":0.00069754897,"about_ca_system_score_gemma":0.00008708195,"threshold_uncertainty_score":0.48987168},"labels":[],"label_agreement":null},{"id":"W3209462045","doi":"10.1111/ajae.12272","title":"Curvature and competitiveness: Carbon taxes in cattle markets","year":2021,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Climate Change Policy and Economics","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":"Western University","funders":"","keywords":"Economics; Carbon tax; Marginal abatement cost; Monetary economics; Counterfactual thinking; Market power; Liberian dollar; Revenue; Agricultural economics; Microeconomics; Greenhouse gas","score_opus":0.019764030395095004,"score_gpt":0.20677361551971268,"score_spread":0.18700958512461768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209462045","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":[0.98954654,0.0023431005,0.0000041630224,0.0027035333,0.00036200194,0.000047266156,0.00014923571,0.0000044640674,0.004839703],"genre_scores_gemma":[0.9927298,0.005840986,0.00053202873,0.00042695564,0.00024997152,0.0000026210437,0.000013963067,0.000014694773,0.00018899061],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99865097,0.000027470667,0.00079366664,0.00024595208,0.00001438913,0.00026755463],"domain_scores_gemma":[0.9986864,0.000112949914,0.0008900452,0.00012666764,0.00005654019,0.00012744752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031709782,0.00017015786,0.0007102291,0.00015078907,0.00003931128,0.000082562656,0.00015636109,0.00006394303,0.00009083681],"category_scores_gemma":[0.00007803635,0.00016374291,0.00012389432,0.0001906424,0.000132723,0.00028102467,0.00007298644,0.00024918243,0.000013462427],"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":[0.00020052101,0.0003468333,0.9025321,0.00010076658,0.00047544087,0.00007346931,0.004648887,0.0014620263,0.0003390709,0.08119157,0.00049734104,0.008131979],"study_design_scores_gemma":[0.0008592938,0.00013807986,0.97969174,0.00005915501,0.000013974264,0.00048070753,0.004168256,0.00012258436,0.00031829713,0.0037316687,0.010024201,0.00039202633],"about_ca_topic_score_codex":0.00031121096,"about_ca_topic_score_gemma":0.00058671966,"teacher_disagreement_score":0.0774599,"about_ca_system_score_codex":0.00020002728,"about_ca_system_score_gemma":0.000035089033,"threshold_uncertainty_score":0.6677242},"labels":[],"label_agreement":null},{"id":"W3214144221","doi":"10.1111/ajae.12274","title":"A bird's eye view of farm size and biodiversity: The ecological legacy of the iron curtain","year":2021,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":58,"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":"Bundesamt für Naturschutz; European Commission; National Science Foundation","keywords":"Biodiversity; Agriculture; Geography; German; Leverage (statistics); Wildlife; Diversity (politics); Land cover; Land use; Agroforestry; Agricultural biodiversity; Ecology; Environmental resource management; Environmental science; Biology","score_opus":0.004888151012499762,"score_gpt":0.18881072947763672,"score_spread":0.18392257846513696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214144221","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":[0.99334943,0.00012542846,0.0000021133676,0.0061306288,0.00008593955,0.00004754229,0.0000039640267,0.0000021491403,0.00025282855],"genre_scores_gemma":[0.99823034,0.0009984345,0.00029783067,0.0004043948,0.0000130061035,5.1750317e-7,1.7119794e-7,0.0000017143279,0.000053619737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994036,0.000097431745,0.00027198408,0.00008430547,0.00005000369,0.00009267835],"domain_scores_gemma":[0.9990403,0.00024197181,0.0005836053,0.00007079363,0.00003234671,0.000030963853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017349234,0.00007173486,0.0002402901,0.0000065271165,0.00011822303,0.00001077914,0.00019240772,0.000022637456,0.000066235174],"category_scores_gemma":[0.0000833613,0.000032791453,0.000109531284,0.00012336991,0.0007962317,0.000103300554,0.00019890247,0.00012348809,0.000005065737],"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":[0.000030522635,0.00014833402,0.9808582,0.000010460681,0.00016649181,0.000003651616,0.0017083577,0.0053300546,0.0027960849,0.0007232266,0.00030012266,0.007924483],"study_design_scores_gemma":[0.00015737095,0.00016413108,0.9933362,0.0000056002705,0.00004628655,0.000042191576,0.00541875,0.00002076198,0.00017835063,0.00014784228,0.00043235594,0.000050173836],"about_ca_topic_score_codex":0.00007528877,"about_ca_topic_score_gemma":0.0008379659,"teacher_disagreement_score":0.012477974,"about_ca_system_score_codex":0.00005790054,"about_ca_system_score_gemma":0.000016429643,"threshold_uncertainty_score":0.29337487},"labels":[],"label_agreement":null},{"id":"W4206180622","doi":"10.1111/ajae.12285","title":"Staying afloat: The effect of algae contamination on <scp>Lake Erie</scp> housing prices","year":2022,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":29,"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":"Environmental science; Algal bloom; Water quality; Algae; Surface runoff; Nutrient; Eutrophication; Oceanography; Hydrology (agriculture); Ecology; Phytoplankton; Biology; Geology","score_opus":0.007781785738602396,"score_gpt":0.18407429699560474,"score_spread":0.17629251125700235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206180622","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":[0.9894927,0.00019012105,0.000084050924,0.00043452944,0.00091176655,0.00020434136,0.0001561985,0.0000131554125,0.008513135],"genre_scores_gemma":[0.9988247,0.00034182915,0.0002166237,0.0001937009,0.00026252426,0.0000117838235,0.000018651956,0.000029293087,0.000100899684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99799144,0.000108725384,0.0012222981,0.00027191415,0.000062717445,0.00034291367],"domain_scores_gemma":[0.9953473,0.00078106514,0.0034829087,0.00023065197,0.00005592937,0.00010215333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017074707,0.00025297533,0.0008799364,0.00024634151,0.00036015816,0.00012132534,0.0005673584,0.00004148856,0.0000914136],"category_scores_gemma":[0.00019776047,0.00019088159,0.00037121077,0.00031336086,0.00018131753,0.00040198685,0.00012959963,0.00044962327,0.000020631034],"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":[0.0010797972,0.0006987333,0.3671654,0.00020038817,0.0026257709,0.000037739846,0.017635603,0.3761519,0.00065561215,0.039689966,0.01460109,0.17945804],"study_design_scores_gemma":[0.0067113303,0.019452928,0.5639483,0.00013984067,0.0003367218,0.0006134118,0.033243284,0.0053174393,0.0034058362,0.0027859837,0.36274448,0.0013004643],"about_ca_topic_score_codex":0.000056330846,"about_ca_topic_score_gemma":0.000108300206,"teacher_disagreement_score":0.37083444,"about_ca_system_score_codex":0.0004034767,"about_ca_system_score_gemma":0.00003860629,"threshold_uncertainty_score":0.77839255},"labels":[],"label_agreement":null},{"id":"W4226142253","doi":"10.1111/ajae.12321","title":"On export duration puzzles","year":2022,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":5,"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; Agriculture and Agri-Food Canada","funders":"","keywords":"Endogeneity; Destinations; Duration (music); Economics; Fixed cost; Production (economics); Convexity; Econometrics; Monetary economics; International economics; Microeconomics; Financial economics","score_opus":0.023346497353108276,"score_gpt":0.1822633613666921,"score_spread":0.15891686401358382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226142253","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":[0.98744863,0.00017415192,0.000049868246,0.002302243,0.00094060716,0.00008336282,0.00011111217,0.000012534391,0.008877484],"genre_scores_gemma":[0.9975875,0.00023923244,0.0006507064,0.00096470723,0.00024479753,0.000008350079,0.000019212577,0.000015964879,0.0002695013],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99826354,0.000023891615,0.001169802,0.0002450508,0.00003534575,0.00026235954],"domain_scores_gemma":[0.9975594,0.000059142425,0.0020382437,0.0001728419,0.000034032175,0.00013629213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004739138,0.00017341235,0.0005631184,0.00018790773,0.00020182831,0.00007617156,0.00041244208,0.00002561895,0.00043273924],"category_scores_gemma":[0.00003846519,0.00016568693,0.000290298,0.00019111612,0.000073529205,0.0003895496,0.00006942163,0.00031089422,0.00015861863],"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":[0.0003565363,0.0005866036,0.03035489,0.000010209632,0.00057374506,0.00002829773,0.0014911728,0.082269296,0.00016234689,0.85149,0.025410358,0.0072665373],"study_design_scores_gemma":[0.00433371,0.00960955,0.5186358,0.000029091749,0.00008324116,0.0024701667,0.0211457,0.0008968092,0.00075315003,0.11591561,0.3235673,0.0025598747],"about_ca_topic_score_codex":0.000044249464,"about_ca_topic_score_gemma":0.0000065351555,"teacher_disagreement_score":0.7355744,"about_ca_system_score_codex":0.00050734665,"about_ca_system_score_gemma":0.000033572873,"threshold_uncertainty_score":0.67565167},"labels":[],"label_agreement":null},{"id":"W4252331563","doi":"10.1093/ajae/aas115","title":"Kaczan, David. “Designing an Incentive Program to Reduce On‐Farm Deforestation in the East Usambara Mountains, Tanzania.” MS Thesis, University of Alberta. Outstanding Master's Thesis Award","year":2012,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":1,"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":"Tanzania; Deforestation (computer science); Incentive; Geography; Agricultural economics; Environmental planning; Economics; Computer science","score_opus":0.019955475054413876,"score_gpt":0.21815539453216531,"score_spread":0.19819991947775145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252331563","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":[0.9969061,0.000014078749,0.000005529621,0.0024608308,0.000097879485,0.00023983777,0.000013969465,0.0000061742007,0.00025559895],"genre_scores_gemma":[0.9989762,0.00012806726,0.00043375936,0.0001255922,0.00023816091,0.0000014272636,0.000015281557,0.0000015105059,0.00008004332],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99891937,0.00015131419,0.00033270972,0.0001495825,0.00013389176,0.00031314822],"domain_scores_gemma":[0.9989848,0.0001419949,0.0005682317,0.000053495463,0.000084280844,0.00016718224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039873848,0.00016411011,0.00031338088,0.000031657637,0.00018568012,0.00006467411,0.00040698025,0.000046998757,0.0000128086485],"category_scores_gemma":[0.000014125327,0.000035852376,0.00014024368,0.00029063868,0.000120236065,0.00043770348,0.000032570097,0.00016349826,0.0000039888128],"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":[0.0008374056,0.001217225,0.111640975,0.000010866196,0.0002083505,0.0000103941,0.02950192,0.0014997588,0.013939343,0.0015240897,0.000108261025,0.83950144],"study_design_scores_gemma":[0.0002418162,0.002219099,0.9293741,0.00006139694,0.0000409306,0.00005869338,0.061598375,0.000022687895,0.00066264096,0.000051253664,0.0054472084,0.00022180175],"about_ca_topic_score_codex":0.0017776667,"about_ca_topic_score_gemma":0.00338262,"teacher_disagreement_score":0.8392796,"about_ca_system_score_codex":0.00016107842,"about_ca_system_score_gemma":0.000016669866,"threshold_uncertainty_score":0.2687312},"labels":[],"label_agreement":null},{"id":"W4291366983","doi":"10.1111/ajae.12340","title":"Can cash incentives modify groundwater pumping behaviors? Evidence from an experiment in Punjab","year":2022,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Water resources management and optimization","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"World Bank Group","keywords":"Electricity; Cash; Incentive; Mains electricity; Entitlement (fair division); Irrigation; Agricultural economics; Business; Natural resource economics; Economics; Finance; Power (physics); Microeconomics; Engineering","score_opus":0.011539217203013957,"score_gpt":0.20826987496931154,"score_spread":0.19673065776629758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291366983","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":[0.9989997,0.00014302367,0.000099301615,0.00031958977,0.00028417667,0.00009094636,0.000006000896,0.00002111234,0.000036160287],"genre_scores_gemma":[0.9985475,0.00023635212,0.0010007146,0.000048202335,0.00009525669,0.000011446577,0.00002283431,0.000014507341,0.000023210468],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9991119,0.00006504696,0.00041181737,0.00013031196,0.00009275257,0.00018816322],"domain_scores_gemma":[0.99957395,0.000020727528,0.00021529166,0.00009137346,0.000021407437,0.00007722498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013287806,0.0001365742,0.00024148804,0.000113242226,0.00007041711,0.00010370028,0.0002863871,0.000013278143,0.00006415997],"category_scores_gemma":[0.0000023877103,0.00011140346,0.00006831476,0.00013244741,0.000034407134,0.00062865176,0.00008977714,0.00020164569,0.0000014173759],"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":[0.00002858128,0.000051025418,0.009632283,0.000002805902,0.000048266807,0.0000128924685,0.0076604206,0.977016,0.0023228677,0.000009666611,0.000057019177,0.0031582185],"study_design_scores_gemma":[0.0023486665,0.002573218,0.7632609,0.00026003618,0.00021884975,0.0001693356,0.12819324,0.08234047,0.016241092,0.00016415743,0.0022716345,0.0019583667],"about_ca_topic_score_codex":0.0007070463,"about_ca_topic_score_gemma":0.00017103279,"teacher_disagreement_score":0.8946755,"about_ca_system_score_codex":0.0005308165,"about_ca_system_score_gemma":0.000008296696,"threshold_uncertainty_score":0.45429012},"labels":[],"label_agreement":null},{"id":"W4299879846","doi":"10.1111/ajae.12349","title":"Upside risk, consumption value, and market returns to food safety","year":2022,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Consortium of International Agricultural Research Centers; Agricultural Technology Adoption Initiative","keywords":"Food safety; Investment (military); Consumption (sociology); Production (economics); Business; Incentive; Risk premium; Marginal value; Economics; Microeconomics; Monetary economics","score_opus":0.007603255914874827,"score_gpt":0.18602786081267952,"score_spread":0.1784246048978047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299879846","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":[0.9960357,0.00026648605,0.0000021558512,0.002814019,0.00025291604,0.0001842239,0.00015456435,0.000018571365,0.00027137404],"genre_scores_gemma":[0.9968554,0.0016495079,0.00051496224,0.0004480416,0.00030047222,0.0000070537326,0.000014083931,0.0000014484923,0.00020903419],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9983729,0.000262947,0.0005669561,0.00028172426,0.00019349907,0.00032197838],"domain_scores_gemma":[0.9983493,0.00031655296,0.0008551589,0.000051220068,0.00009843091,0.00032931197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005045793,0.00021153569,0.00041693996,0.000027252367,0.000606281,0.00007844377,0.00040999803,0.000032708747,0.00027180457],"category_scores_gemma":[0.0000631525,0.00007285484,0.00018760025,0.0003388159,0.00013165869,0.00025185317,0.00023475486,0.00041422236,0.000008456691],"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":[0.0020895225,0.00048101964,0.36671963,0.000018874163,0.0006075416,0.00003181449,0.003214201,0.021676742,0.048200108,0.0019099612,0.027873062,0.5271775],"study_design_scores_gemma":[0.00019102664,0.0027675335,0.9712132,0.000010251723,0.000042494343,0.00057918223,0.0082056355,0.000021619117,0.00023411344,0.00010808791,0.01634674,0.00028006893],"about_ca_topic_score_codex":0.0001676496,"about_ca_topic_score_gemma":0.00035120267,"teacher_disagreement_score":0.6044936,"about_ca_system_score_codex":0.00019847244,"about_ca_system_score_gemma":0.000015038604,"threshold_uncertainty_score":0.46630844},"labels":[],"label_agreement":null},{"id":"W4307462135","doi":"10.1111/ajae.12348","title":"Getting the message out: Information and communication technologies and agricultural extension","year":2022,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Dissemination; Information and Communications Technology; Agricultural extension; Control (management); Business; Agriculture; Population; Extension (predicate logic); Optimism; Agricultural science; Marketing; Psychology; Computer science; Geography; Medicine; Telecommunications; Environmental health","score_opus":0.012758885300695345,"score_gpt":0.2069516217289179,"score_spread":0.19419273642822255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307462135","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":[0.9738306,0.00068727357,0.0000013458865,0.024978643,0.0000880343,0.000138881,0.000019843676,0.000030491448,0.00022490477],"genre_scores_gemma":[0.99761295,0.001416783,0.00041955555,0.00039077314,0.00006769825,0.00001126979,0.000043178272,6.6147715e-7,0.00003713144],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99894726,0.00014594488,0.00049906375,0.00011610875,0.00012765036,0.0001639448],"domain_scores_gemma":[0.99807876,0.00038082103,0.001239043,0.000059020047,0.0001991224,0.000043255037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005668847,0.00014632946,0.000231166,0.000023457871,0.0009898046,0.00024216482,0.00035381634,0.000031825613,0.000025378047],"category_scores_gemma":[0.00008079765,0.000042449898,0.000056789337,0.00033926076,0.00020925315,0.0013166523,0.00033605762,0.00041663015,0.0000016510037],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082520426,0.00006481802,0.0030517639,0.0000068233094,0.00012332285,0.0000014036772,0.002606354,0.00046464257,0.04872212,0.0041680634,0.004370803,0.93633735],"study_design_scores_gemma":[0.00017623835,0.00078058825,0.7576784,0.000014735953,0.00005054708,0.0008874591,0.1942747,0.000037806924,0.00033364978,0.00046547106,0.045024384,0.0002760493],"about_ca_topic_score_codex":0.000107771986,"about_ca_topic_score_gemma":0.000092856186,"teacher_disagreement_score":0.9360613,"about_ca_system_score_codex":0.000060571576,"about_ca_system_score_gemma":0.000007364768,"threshold_uncertainty_score":0.7612877},"labels":[],"label_agreement":null},{"id":"W4312213421","doi":"10.1111/ajae.12369","title":"The land use consequences of rural to urban migration*","year":2022,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","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 British Columbia","funders":"","keywords":"Agriculture; Investment (military); Land use; Panel data; Margin (machine learning); Crop diversity; Agricultural economics; Geography; Natural resource economics; Economics; Ecology","score_opus":0.013241357312880807,"score_gpt":0.2413296827292767,"score_spread":0.2280883254163959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312213421","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":[0.99246615,0.00007918094,0.0000029451144,0.00686327,0.0002775722,0.000082802464,0.000022248043,0.000004276525,0.00020153193],"genre_scores_gemma":[0.9991823,0.00013221204,0.00013085008,0.0001604459,0.00015651407,0.000002764038,0.0000023842456,0.0000022803952,0.0002302538],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912375,0.00013097972,0.00039434593,0.00005802123,0.00014075161,0.0001521372],"domain_scores_gemma":[0.9988796,0.00021442924,0.00059576257,0.000068449546,0.00013612764,0.000105596315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048210638,0.00006350417,0.00019361539,0.000029082861,0.0005337124,0.000086385844,0.0003918856,0.000009617809,0.0000460973],"category_scores_gemma":[0.00005570165,0.000036378628,0.000121390134,0.00022462968,0.00050859305,0.00032600167,0.000024117748,0.0001270577,0.000001096992],"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":[0.000102011465,0.000040806368,0.9788142,0.000001070476,0.000064063504,0.0000012996154,0.010826619,0.0013277974,0.0004032464,0.001477576,0.0028040118,0.0041372958],"study_design_scores_gemma":[0.00013872252,0.0003834471,0.8871024,0.0000055486935,0.000026767879,0.000008455077,0.07317723,0.0000016616071,0.00019861967,0.00026311039,0.03857323,0.00012076612],"about_ca_topic_score_codex":0.0041486016,"about_ca_topic_score_gemma":0.0044177216,"teacher_disagreement_score":0.09171177,"about_ca_system_score_codex":0.00012452743,"about_ca_system_score_gemma":0.00017495509,"threshold_uncertainty_score":0.62714726},"labels":[],"label_agreement":null},{"id":"W4319444406","doi":"10.1111/ajae.12381","title":"Craig Gundersen","year":2023,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Sustainable Agricultural Systems Analysis","field":"Environmental Science","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":"University of Notre Dame","keywords":"Citation; Computer science; Library science","score_opus":0.004611703622206088,"score_gpt":0.18417241834885065,"score_spread":0.17956071472664456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319444406","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":[0.99433607,0.000011831552,0.000011066373,0.0021509817,0.00016878915,0.00006911406,0.0000021054796,0.000031956093,0.003218088],"genre_scores_gemma":[0.99759865,0.0001248419,0.00034453388,0.00014736842,0.00021951122,0.000002449933,0.0000048650772,0.000008749732,0.0015490399],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9987228,0.000060406153,0.0005272443,0.00018163506,0.00016756116,0.00034037785],"domain_scores_gemma":[0.9988148,0.00008360058,0.00073024444,0.00012633689,0.000045669185,0.00019934282],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003206633,0.00016204828,0.00039154477,0.000072121584,0.00010726956,0.000066065935,0.00037972193,0.000031993637,0.00033774946],"category_scores_gemma":[0.000046379555,0.00009363888,0.00026990552,0.0009924177,0.00017844334,0.00050093373,0.00013126498,0.00014269963,0.0008291141],"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":[0.000104037616,0.00018070178,0.2281947,0.000020716097,0.0011279136,0.00020019496,0.004042216,0.37870497,0.017376373,0.00092224084,0.22865194,0.14047399],"study_design_scores_gemma":[0.00025622855,0.0002987602,0.9525667,0.000009983916,0.00007082194,0.00035746518,0.024661839,0.00015983591,0.00024053904,0.00023190887,0.020819675,0.00032627818],"about_ca_topic_score_codex":0.0005054749,"about_ca_topic_score_gemma":0.00014694002,"teacher_disagreement_score":0.72437197,"about_ca_system_score_codex":0.00048325633,"about_ca_system_score_gemma":0.000014262554,"threshold_uncertainty_score":0.99994886},"labels":[],"label_agreement":null},{"id":"W4362596773","doi":"10.1111/ajae.12400","title":"Estimating the effect of time‐invariant characteristics in panel data: wheat adoption in <scp>Western Canada</scp>","year":2023,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economics of Agriculture and Food Markets","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":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Adaptability; Panel data; Variety (cybernetics); Fixed effects model; Business; Marketing; Econometrics; Biotechnology; Economics; Biology; Mathematics; Statistics; Ecology","score_opus":0.01592743005691276,"score_gpt":0.19906752436629818,"score_spread":0.18314009430938544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362596773","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":[0.99734515,0.00021520046,0.000011927068,0.00087582995,0.0005513102,0.00020473663,0.0002469355,0.000008612524,0.0005403241],"genre_scores_gemma":[0.99849087,0.00057858427,0.00025242008,0.000103772014,0.00032307458,0.000006365611,0.00011957999,0.000018690484,0.00010664045],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99737734,0.00008584475,0.001737511,0.00034307412,0.00004914461,0.0004070922],"domain_scores_gemma":[0.9963698,0.00087209494,0.0022427242,0.00035614002,0.00004792715,0.00011134811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018636772,0.0002620459,0.0011370925,0.00023748324,0.000056810644,0.000084492305,0.0008714874,0.000075645694,0.0000064659253],"category_scores_gemma":[0.0004468512,0.00018092,0.00012893703,0.00048985885,0.00009763283,0.0005988835,0.00019259892,0.00039646795,0.000038738763],"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":[0.00015238204,0.00015247775,0.92553157,0.00017201477,0.0005676517,0.00008610964,0.0020698311,0.046315398,0.0005499896,0.0010544442,0.011039637,0.012308523],"study_design_scores_gemma":[0.00074468745,0.00045502407,0.99140877,0.000091999704,0.000024276418,0.000090035,0.0008622368,0.004531871,0.000073513176,0.0001378586,0.0014102064,0.00016954502],"about_ca_topic_score_codex":0.01545917,"about_ca_topic_score_gemma":0.028863644,"teacher_disagreement_score":0.06587721,"about_ca_system_score_codex":0.00034767235,"about_ca_system_score_gemma":0.00009938905,"threshold_uncertainty_score":0.991097},"labels":[],"label_agreement":null},{"id":"W4381337286","doi":"10.1111/ajae.12416","title":"Taxing <scp>sugar‐sweetened</scp> beverages: A nonlinear pricing approach","year":2023,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Nonlinear pricing; Consumption (sociology); Popularity; Economics; Microeconomics; Price discrimination; Willingness to pay; Economic surplus; Product (mathematics); Profit (economics); Business; Welfare","score_opus":0.014602126209558247,"score_gpt":0.18940636301495792,"score_spread":0.17480423680539967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381337286","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":[0.9771515,0.0006873849,0.00022056825,0.0007461735,0.00078285363,0.00021655997,0.000093423085,0.0000868526,0.020014692],"genre_scores_gemma":[0.9843086,0.0027958562,0.009475972,0.0005048186,0.0013303189,0.000014580829,0.00008274216,0.00006251183,0.0014246154],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99662256,0.000041540326,0.0018922278,0.0005914698,0.000066782464,0.0007854259],"domain_scores_gemma":[0.9958555,0.000336464,0.0029284782,0.00033634933,0.00016207295,0.00038110587],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011158623,0.00045627542,0.0013820506,0.00053243065,0.00022753418,0.00027901478,0.0008573033,0.00015324367,0.000018976985],"category_scores_gemma":[0.00027386472,0.00037883595,0.0006561372,0.00086595333,0.00017268272,0.0010270204,0.00018759922,0.0005724025,0.00042276058],"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":[0.00044764063,0.0032181237,0.22346425,0.0007938744,0.013396449,0.0003472348,0.039708424,0.1949793,0.0055357204,0.18865265,0.26796207,0.061494276],"study_design_scores_gemma":[0.004859288,0.0032062936,0.7249039,0.00021905056,0.0002505829,0.0018559743,0.038943857,0.006052005,0.001161171,0.011088453,0.20534563,0.002113838],"about_ca_topic_score_codex":0.000077580145,"about_ca_topic_score_gemma":0.000013279086,"teacher_disagreement_score":0.50143963,"about_ca_system_score_codex":0.00032550335,"about_ca_system_score_gemma":0.00006114901,"threshold_uncertainty_score":0.99986637},"labels":[],"label_agreement":null},{"id":"W4388479196","doi":"10.1111/ajae.12438","title":"Farm size, spatial externalities, and wind energy development","year":2023,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":28,"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":"Economic Research Service; National Institute of Food and Agriculture; Simon Fraser University; U.S. Department of Agriculture","keywords":"Externality; Wind power; Renewable energy; Natural resource economics; Lease; Economic geography; Mile; Geography; Economics; Business; Microeconomics; Ecology","score_opus":0.009368616519283494,"score_gpt":0.22948569402160912,"score_spread":0.22011707750232562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388479196","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":[0.9954886,0.00010418568,0.000025640567,0.0011473828,0.0005495097,0.000029602868,0.0000024109797,0.000028413247,0.0026242652],"genre_scores_gemma":[0.9933972,0.0022067912,0.00096333603,0.0002289836,0.0011399058,0.0000017734808,0.0000023845519,0.000010015345,0.0020496175],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99886346,0.00009045081,0.0004049146,0.00013944971,0.00017471926,0.0003270104],"domain_scores_gemma":[0.99879026,0.00023451749,0.0005707083,0.00005124939,0.00013035459,0.00022288616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035164398,0.00012983606,0.0003253611,0.000068407295,0.00030887406,0.00012659178,0.00027564884,0.00004617992,0.000050182818],"category_scores_gemma":[0.00011042858,0.00010155972,0.000089743386,0.00028579024,0.00036132155,0.00026417352,0.000057202928,0.00009276752,0.000006048118],"study_design_candidate":"design_other","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":[0.000042548647,0.000028473158,0.0067282184,0.0000033103522,0.0001775771,0.00001475889,0.013052775,0.0011760009,0.00027274695,0.008015855,0.0012908145,0.9691969],"study_design_scores_gemma":[0.0007797426,0.00031642077,0.45253015,0.000054475586,0.00004387341,0.00005715929,0.22026636,0.000012917832,0.000955592,0.0021040565,0.32221338,0.0006658645],"about_ca_topic_score_codex":0.008550993,"about_ca_topic_score_gemma":0.017310722,"teacher_disagreement_score":0.9685311,"about_ca_system_score_codex":0.00028487213,"about_ca_system_score_gemma":0.00029474738,"threshold_uncertainty_score":0.99805117},"labels":[],"label_agreement":null},{"id":"W4403251210","doi":"10.1111/ajae.12500","title":"Weather shocks affect trade policy: Evidence from preferential trade agreements","year":2024,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Affect (linguistics); Economics; International economics; Commercial policy; International trade; Psychology","score_opus":0.05952695159746876,"score_gpt":0.2635452728683472,"score_spread":0.20401832127087846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403251210","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":[0.9781611,0.0035510045,0.00017561295,0.0139140785,0.0013975204,0.00016132246,0.00060810614,0.00003980668,0.001991449],"genre_scores_gemma":[0.98984087,0.006159082,0.0005521319,0.0006583148,0.0025176106,0.000008267544,0.000031681626,0.00004537347,0.0001866778],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99757564,0.00003828752,0.0013518707,0.00048004906,0.000044093624,0.0005100475],"domain_scores_gemma":[0.9981685,0.00023858949,0.0010349004,0.0002602203,0.000013817506,0.00028396968],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004032624,0.00036406523,0.000953154,0.000362496,0.000093454415,0.00038488975,0.0005803026,0.000111285015,0.00042396854],"category_scores_gemma":[0.000077590455,0.00031168066,0.000588657,0.00030545413,0.00016597097,0.0011133011,0.000084405074,0.00041806157,0.00029575158],"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":[0.0021433257,0.0020987894,0.18365061,0.0008445762,0.017597113,0.00022644647,0.09292841,0.017876403,0.008426177,0.19636327,0.1550641,0.32278076],"study_design_scores_gemma":[0.0031039347,0.0035085706,0.7871225,0.0014406168,0.0004859839,0.00066368154,0.0077732215,0.004236419,0.0030115086,0.03204629,0.15287519,0.0037321174],"about_ca_topic_score_codex":0.0008398602,"about_ca_topic_score_gemma":0.00017096735,"teacher_disagreement_score":0.6034719,"about_ca_system_score_codex":0.0007034249,"about_ca_system_score_gemma":0.00008125318,"threshold_uncertainty_score":0.99993354},"labels":[],"label_agreement":null},{"id":"W4407041346","doi":"10.1111/ajae.12508","title":"How stable and predictable are welfare estimates using recreation demand models?","year":2025,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Global Water Futures; Alberta Environment and Parks; European Association of Environmental and Resource Economists; Alberta Health Services","keywords":"Welfare; Recreation; Predictability; Economics; Nonmarket forces; Econometrics; Valuation (finance); Revealed preference; Stability (learning theory); Survey data collection; Public economics; Statistics; Computer science; Microeconomics; Mathematics; Ecology","score_opus":0.03910373263712994,"score_gpt":0.19317979307048372,"score_spread":0.15407606043335378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407041346","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":[0.9906411,0.0014967165,0.004423052,0.0020570122,0.00019700991,0.00010339758,0.00004059769,0.000007833695,0.0010332433],"genre_scores_gemma":[0.99135303,0.0014079971,0.006781125,0.0000988831,0.00007005533,0.0000028911463,0.000008543914,0.000009751454,0.0002677219],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990005,0.000013319604,0.00056782644,0.00021676472,0.000016984237,0.00018458712],"domain_scores_gemma":[0.9985335,0.000035820864,0.0012103631,0.000103535815,0.00003361295,0.00008320143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002797142,0.00015363614,0.0005104229,0.00014178792,0.00014727587,0.00018373171,0.00012784178,0.000050549726,0.00002092669],"category_scores_gemma":[0.000031973228,0.00013922823,0.000091730784,0.00010785103,0.00011095324,0.001211671,0.00004872274,0.000116869116,0.0000032617024],"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":[0.00009199628,0.00013877201,0.6609899,0.00007116808,0.00065203244,0.00000220579,0.0007713756,0.25244787,0.0002961377,0.077187866,0.00075566064,0.0065950495],"study_design_scores_gemma":[0.0012277027,0.00029062314,0.90330684,0.00010888257,0.00011359985,0.00009820415,0.009628109,0.059996452,0.00035938795,0.02209428,0.0022761333,0.0004997904],"about_ca_topic_score_codex":0.00012634952,"about_ca_topic_score_gemma":0.00001551152,"teacher_disagreement_score":0.24231696,"about_ca_system_score_codex":0.0003413817,"about_ca_system_score_gemma":0.000015807233,"threshold_uncertainty_score":0.56775624},"labels":[],"label_agreement":null},{"id":"W4413088353","doi":"10.1111/ajae.70001","title":"A reply to “Quality standards, industry structure, and welfare in a global economy”","year":2025,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Global trade and economics","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":"Université Laval","funders":"European Commission","keywords":"Ambiguity; Welfare; Quality (philosophy); Economics; Public economics; Market economy; Philosophy","score_opus":0.016019518535214862,"score_gpt":0.2398838602748735,"score_spread":0.22386434173965863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413088353","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":[0.9726923,0.0004718751,0.00004330283,0.01387763,0.0003931371,0.00015885898,0.00062926224,0.000009688313,0.01172394],"genre_scores_gemma":[0.9944936,0.00019164254,0.0010774607,0.0040435474,0.000107232845,0.0000033911774,0.000005640211,0.00000845484,0.00006903902],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99755836,0.000029981145,0.0015896587,0.00041646292,0.000024339653,0.00038117517],"domain_scores_gemma":[0.99829596,0.00004410431,0.0010783989,0.00022816629,0.00009970906,0.00025367082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006290872,0.00025666156,0.0010279402,0.00024292561,0.00007857354,0.00018144134,0.0003822305,0.0001371227,0.00006391546],"category_scores_gemma":[0.00014663319,0.00024485722,0.00016635831,0.00045473425,0.00012913688,0.0004979303,0.0001174588,0.00043846446,0.000009460411],"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":[0.00023892215,0.00008737503,0.5838588,0.000038075996,0.00030471326,0.0000075624716,0.00033316997,0.0037956254,0.000005755532,0.39709753,0.0033537133,0.010878797],"study_design_scores_gemma":[0.0010225738,0.00028064384,0.8651431,0.00004114424,0.000013171891,0.00008504052,0.002373618,0.000022425378,0.000028203078,0.028540151,0.10205655,0.0003933542],"about_ca_topic_score_codex":0.0008266907,"about_ca_topic_score_gemma":0.00025987803,"teacher_disagreement_score":0.36855736,"about_ca_system_score_codex":0.0010851029,"about_ca_system_score_gemma":0.00010896742,"threshold_uncertainty_score":0.9984988},"labels":[],"label_agreement":null},{"id":"W4415339950","doi":"10.1111/ajae.70020","title":"Harvesting benefits: Exploring the effects of second‐best policies on enhancing soil organic carbon stocks in agriculture","year":2025,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":1,"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":"Saskatchewan Wheat Development Commission","keywords":"Subsidy; Cropping; Soil carbon; Agriculture; Soil organic matter; Social cost; Hectare; Organic farming","score_opus":0.009691822471483928,"score_gpt":0.19315354718467606,"score_spread":0.18346172471319214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415339950","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":[0.99556875,0.0003748686,1.8206873e-7,0.0021741828,0.00052246946,0.00023423457,0.00001596447,0.0000133985295,0.0010959464],"genre_scores_gemma":[0.9977383,0.00085105054,0.000023952802,0.0004443151,0.0005665279,0.000015513971,0.000007405515,0.0000025985275,0.00035030887],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980436,0.0001183845,0.0010026011,0.00027509537,0.000107620115,0.000452686],"domain_scores_gemma":[0.99744004,0.0010321871,0.0011285663,0.00009464214,0.00017487079,0.0001296935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029795876,0.00034313888,0.00074279896,0.00007182868,0.00017694414,0.000109748726,0.0006523241,0.00008227418,0.00001612897],"category_scores_gemma":[0.00018672146,0.00011071129,0.0002865268,0.00079292106,0.00014761051,0.00033478873,0.00012469901,0.0004967875,0.000003874831],"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":[0.00021810074,0.0005147346,0.020143477,0.00014843301,0.0005391094,0.000010592322,0.0039825435,0.010756127,0.75539,0.0054886015,0.00088640343,0.20192187],"study_design_scores_gemma":[0.00055699324,0.0019008152,0.8900391,0.00077430974,0.00009355042,0.00008397713,0.0158878,0.000019319668,0.08824353,0.00016617155,0.0016634577,0.00057101424],"about_ca_topic_score_codex":0.0017808614,"about_ca_topic_score_gemma":0.01202217,"teacher_disagreement_score":0.8698956,"about_ca_system_score_codex":0.00026349784,"about_ca_system_score_gemma":0.00004454352,"threshold_uncertainty_score":0.6708653},"labels":[],"label_agreement":null},{"id":"W4415683381","doi":"10.1111/ajae.70018","title":"Market regulation and productivity: The case of the Canadian Wheat Board","year":2025,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Lethbridge; University of Manitoba","funders":"","keywords":"Deregulation; Productivity; Counterfactual thinking; Context (archaeology); Monopsony; Agricultural productivity; Estimation; Agriculture; Regulatory reform","score_opus":0.006159811761933867,"score_gpt":0.1863308176299134,"score_spread":0.18017100586797954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415683381","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":[0.9621264,0.000105367384,1.04811456e-7,0.03536264,0.00021650824,0.00015495325,0.000026430778,0.000002836511,0.0020047915],"genre_scores_gemma":[0.9985651,0.00011541184,0.000032278418,0.000453408,0.0002738657,0.0000021056728,0.0000020110458,6.217861e-7,0.000555201],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99914485,0.00009908487,0.00039030702,0.00013806345,0.000035728375,0.00019194014],"domain_scores_gemma":[0.9989564,0.00016755098,0.00055249804,0.00007077143,0.00014425733,0.00010853195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031320882,0.00013120705,0.00027144962,0.000019029389,0.0003763656,0.00009477807,0.00029308698,0.00004409164,0.000030294552],"category_scores_gemma":[0.000047151563,0.00003271352,0.00015300812,0.00029759284,0.0002944808,0.00018594858,0.00006785236,0.00017687862,8.029302e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018230252,0.00011703127,0.0604248,0.000030330131,0.00061218935,0.000019305558,0.0014201613,0.001034597,0.020152088,0.026847444,0.04565709,0.84350264],"study_design_scores_gemma":[0.00009217812,0.0001370172,0.97873175,0.000022012748,0.000048902722,0.0008342433,0.0021593685,0.000033973043,0.0006304124,0.00073917466,0.016453346,0.00011761447],"about_ca_topic_score_codex":0.057800643,"about_ca_topic_score_gemma":0.37156397,"teacher_disagreement_score":0.91830695,"about_ca_system_score_codex":0.00014315583,"about_ca_system_score_gemma":0.0000647818,"threshold_uncertainty_score":0.9484736},"labels":[],"label_agreement":null}]}