{"meta":{"query_hash":"57f70787d176","filters":{"venue":"Australian Journal of Agricultural and Resource Economics"},"cohort_total":30,"direct_labels_cover":0,"predictions_cover":30,"exported":30,"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/57f70787d176","api":"https://metacan.xera.ac/api/v1/cohort?venue=Australian+Journal+of+Agricultural+and+Resource+Economics"},"results":[{"id":"W1500603657","doi":"10.1111/j.1467-8489.2010.00518.x","title":"On the regulation of spatial externalities: coexistence between GM and conventional crops in the EU and the ‘newcomer principle’*","year":2011,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":15,"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":"Canola Council of Canada","keywords":"Externality; Pollen; Gene flow; Brassica; Economics; Revenue; Production (economics); Genetically modified organism; Microeconomics; Econometrics; Biology; Agronomy; Gene; Ecology; Genetics","score_opus":0.0638498631984716,"score_gpt":0.23585891436605155,"score_spread":0.17200905116757997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1500603657","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":[0.99005574,0.000058265516,5.698011e-7,0.009490311,0.00002073279,0.00016034559,0.0000110484525,0.0000011929862,0.00020181418],"genre_scores_gemma":[0.9993755,0.000092621965,0.000029144077,0.0001022313,0.00015185674,0.0000018308086,0.00000246838,6.434605e-7,0.00024365158],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903846,0.00021660632,0.0003538442,0.00011056742,0.00014201114,0.00013853298],"domain_scores_gemma":[0.9990581,0.00054541364,0.00023746389,0.000042176216,0.00005627111,0.000060575527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084756967,0.00009657753,0.00017194993,0.000011231417,0.00014955223,0.00007736362,0.00026282965,0.000060990435,0.00008131687],"category_scores_gemma":[0.000050241153,0.000022273358,0.000058389054,0.00005955791,0.000494806,0.000065308755,0.00006156644,0.00023349635,9.585484e-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":[0.003966251,0.00065794715,0.5577097,0.0001959707,0.00089496595,0.000025512561,0.04773084,0.00045300738,0.054512795,0.2615196,0.0034308238,0.06890259],"study_design_scores_gemma":[0.00035708037,0.00023632376,0.99247295,0.000029200464,0.00001596792,0.00007508558,0.003002995,0.0000051320217,0.0007412336,0.002297653,0.0007078538,0.000058542704],"about_ca_topic_score_codex":0.00037625304,"about_ca_topic_score_gemma":0.00013868166,"teacher_disagreement_score":0.43476325,"about_ca_system_score_codex":0.000010182787,"about_ca_system_score_gemma":0.000005263202,"threshold_uncertainty_score":0.18231332},"labels":[],"label_agreement":null},{"id":"W1569615423","doi":"10.1111/j.1467-8489.2010.00497.x","title":"Controlling excess capacity in common‐pool resource industries: the transition from input to output controls*","year":2010,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":24,"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":"National Marine Fisheries Service; Social Sciences and Humanities Research Council of Canada","keywords":"Business; Resource (disambiguation); Common-pool resource; Industrial organization; Natural resource economics; Capacity utilization; Environmental economics; Economics; Environmental resource management; Microeconomics; Computer science","score_opus":0.033641954009051386,"score_gpt":0.19808339445941478,"score_spread":0.1644414404503634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1569615423","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":[0.98178256,0.00029079805,0.000020953921,0.016304784,0.00048051702,0.00031555383,0.00014763216,0.00001035653,0.00064687704],"genre_scores_gemma":[0.9970047,0.00008517819,0.00028263262,0.0010925473,0.00072299724,0.000008956951,0.000018752684,0.000018491013,0.00076572923],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99745613,0.000046915207,0.0015927665,0.00038052915,0.00005890627,0.00046477723],"domain_scores_gemma":[0.998218,0.00023072929,0.0009330162,0.00022501289,0.00005320122,0.00034001877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011169836,0.00031484175,0.00089654,0.00021174485,0.0002119382,0.00031982845,0.0005568104,0.0003236444,0.000096138014],"category_scores_gemma":[0.00009732378,0.00021603299,0.0001986415,0.0001939288,0.00014252804,0.00036554123,0.00007054311,0.0012524462,0.000039299357],"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":[0.004682271,0.001438549,0.4747576,0.0002348563,0.004104828,0.00017813884,0.1064783,0.16197318,0.009947859,0.04254399,0.08797583,0.10568459],"study_design_scores_gemma":[0.0035984025,0.00023117235,0.5874791,0.000112526,0.000043504577,0.00016957428,0.005596877,0.00028979185,0.0008359574,0.004216974,0.3966691,0.0007570106],"about_ca_topic_score_codex":0.00053101114,"about_ca_topic_score_gemma":0.00052596757,"teacher_disagreement_score":0.30869326,"about_ca_system_score_codex":0.00014413595,"about_ca_system_score_gemma":0.000026246104,"threshold_uncertainty_score":0.88095695},"labels":[],"label_agreement":null},{"id":"W1583831207","doi":"10.1111/1467-8489.00218","title":"Agricultural trade in North America: Trade creation, regionalism and regionalisation","year":2003,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Regionalisation; Regionalism (politics); International trade; Agriculture; Regional trade; International economics; Economics; Trade creation; International free trade agreement; Trade diversion; Free trade; Business; Economic geography; Geography; Political science","score_opus":0.03682244428145825,"score_gpt":0.1910114120282441,"score_spread":0.15418896774678584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1583831207","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":[0.9856236,0.001110261,0.0000048180245,0.010943866,0.00016472457,0.00012692004,0.000047696598,0.000007533344,0.0019705843],"genre_scores_gemma":[0.9966759,0.0017925844,0.00047852966,0.00036222342,0.00020803954,0.0000032134587,0.000037721853,0.0000113311335,0.00043042022],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982113,0.000041136314,0.0010807611,0.0003176789,0.0000357024,0.0003134136],"domain_scores_gemma":[0.9987495,0.000056152174,0.00084019225,0.000102262406,0.000017412398,0.00023447184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002919757,0.00024737744,0.0005623989,0.00016048903,0.000113474416,0.00013593533,0.00015975046,0.00015825887,0.000029789806],"category_scores_gemma":[0.00004744419,0.00019724818,0.00015243566,0.00020291524,0.00014716876,0.0005885461,0.000016437956,0.00031274965,0.000009295082],"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":[0.00014398867,0.0004147224,0.66762835,0.00012638341,0.0005432397,0.000037186088,0.009369279,0.015228101,0.00012811479,0.27212307,0.032069776,0.002187787],"study_design_scores_gemma":[0.00092693197,0.000114206705,0.8660599,0.000023648545,0.000017086331,0.00059546187,0.002909479,0.000009880613,0.000034664063,0.0029438543,0.12605523,0.00030967154],"about_ca_topic_score_codex":0.000042681768,"about_ca_topic_score_gemma":0.00008143901,"teacher_disagreement_score":0.26917922,"about_ca_system_score_codex":0.00013852656,"about_ca_system_score_gemma":0.000016298765,"threshold_uncertainty_score":0.8043548},"labels":[],"label_agreement":null},{"id":"W1747167306","doi":"10.1111/1467-8489.12120","title":"World Energy Outlook 2014 projections to 2040: natural gas and coal trade, and the role of China","year":2015,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":87,"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":"Fossil fuel; Renewable energy; Primary energy; China; Greenhouse gas; Natural resource economics; Natural gas; Energy mix; Quarter (Canadian coin); Coal; Energy policy; Energy development; Economics; Energy subsidies; International trade; Business; Agricultural economics; Economy; Electricity generation; Geography; Power (physics); Engineering; Waste management","score_opus":0.009470737279443142,"score_gpt":0.21638277280056087,"score_spread":0.20691203552111773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1747167306","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":[0.9859351,0.0010866561,6.5991037e-7,0.010286097,0.00008942667,0.000089249326,0.0000057788084,0.0000053763306,0.0025016724],"genre_scores_gemma":[0.9947323,0.00020284324,0.000072593786,0.000080676495,0.00023575102,0.0000029568394,0.0000033971294,0.0000061236046,0.0046633272],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99892056,0.00014246619,0.00040631703,0.0001602704,0.0001160966,0.00025427577],"domain_scores_gemma":[0.9992226,0.00007477719,0.00018273582,0.000094963245,0.000097280565,0.00032768116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004304155,0.0001594377,0.00034086843,0.00009557233,0.00013721021,0.00009618361,0.00016539062,0.000080083926,0.000008792719],"category_scores_gemma":[0.000056880464,0.000081465616,0.00009441075,0.00011255274,0.00032220955,0.00018181543,0.00008806211,0.0002958504,6.6278415e-7],"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":[0.010662236,0.00072455185,0.051441636,0.00025433913,0.0025066666,0.00006906869,0.0355551,0.1369881,0.002429794,0.50602883,0.09037661,0.1629631],"study_design_scores_gemma":[0.0066380333,0.0012253704,0.28150576,0.00011230475,0.00021756561,0.0024585854,0.050949574,0.0004272578,0.0030725086,0.030366858,0.6222996,0.00072656194],"about_ca_topic_score_codex":0.0014475636,"about_ca_topic_score_gemma":0.001230231,"teacher_disagreement_score":0.531923,"about_ca_system_score_codex":0.000056718465,"about_ca_system_score_gemma":0.00004447704,"threshold_uncertainty_score":0.33220714},"labels":[],"label_agreement":null},{"id":"W1882962089","doi":"10.1111/j.1467-8489.2011.00552.x","title":"Predicting versus testing: a conditional cross-forecasting accuracy measure for hypothetical bias*","year":2011,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome Canada; Agriculture Food and Rural Development; University of Alberta","funders":"Genome Alberta; Genome Canada; Alberta Crop Industry Development Fund","keywords":"Measure (data warehouse); Econometrics; Context (archaeology); Preference; Statistics; Divergence (linguistics); Computer science; Mathematics; Data mining","score_opus":0.3925589470092689,"score_gpt":0.250860995632072,"score_spread":0.14169795137719693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1882962089","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":[0.9960908,0.00014155114,0.000083071056,0.00029245586,0.00032436562,0.00015455637,0.00011143089,0.000009587922,0.0027921777],"genre_scores_gemma":[0.995661,0.00002418763,0.0033609658,0.00004327661,0.00045608703,0.0000066123303,0.00002124723,0.000015577505,0.00041102158],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984851,0.000014904115,0.0009580564,0.00024385545,0.00002970303,0.00026837745],"domain_scores_gemma":[0.9983359,0.000271325,0.0010790423,0.00008195761,0.000055941884,0.00017583145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072084035,0.0001783221,0.00035383838,0.00007850413,0.0001975307,0.00010278006,0.00017556909,0.00013765959,0.00013047055],"category_scores_gemma":[0.00044543718,0.0001496545,0.00018067534,0.00005101804,0.00014137533,0.00048465194,0.000038063783,0.00021353507,0.000023742828],"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":[0.0004295356,0.0001582683,0.9711764,0.000057093228,0.0004138166,0.0000043840105,0.0017339212,0.0043765856,0.00011011734,0.017401498,0.0011646745,0.0029736964],"study_design_scores_gemma":[0.002535544,0.000579617,0.98590654,0.00004164203,0.000044940807,0.0002846486,0.0010032057,0.00046017263,0.0003487445,0.0057779867,0.0026938827,0.00032307228],"about_ca_topic_score_codex":0.000019311097,"about_ca_topic_score_gemma":0.0000044052404,"teacher_disagreement_score":0.014730134,"about_ca_system_score_codex":0.00011566481,"about_ca_system_score_gemma":0.000015896045,"threshold_uncertainty_score":0.6102733},"labels":[],"label_agreement":null},{"id":"W1979085271","doi":"10.1111/j.1467-8489.2009.00468.x","title":"Station level gasoline demand in an Australian market with regular price cycles*","year":2009,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":44,"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":"Presumption; Gasoline; Economics; Price elasticity of demand; Empirical evidence; Price level; Relative price; Government (linguistics); Monetary economics; Microeconomics; Econometrics; Agricultural economics; Engineering","score_opus":0.015931841367113894,"score_gpt":0.21466299152822893,"score_spread":0.19873115016111503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979085271","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":[0.9962163,0.00003917228,0.000011095397,0.0028455232,0.000028477813,0.000066947214,0.00001640705,0.000009188679,0.00076689565],"genre_scores_gemma":[0.99363905,0.00023729229,0.00105866,0.00016262363,0.0001925594,0.0000010357195,0.000047865065,0.000010256132,0.0046506715],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99883187,0.00006022441,0.0005457029,0.00018252828,0.000108793436,0.00027090637],"domain_scores_gemma":[0.99921566,0.000021094418,0.00039076814,0.00010316878,0.000041161427,0.00022812528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020563745,0.00020505734,0.0002850235,0.00010593624,0.00007823442,0.00007435456,0.00013982302,0.000113734015,0.000064747626],"category_scores_gemma":[0.000004355982,0.00013257335,0.00006367115,0.0000986061,0.00007615627,0.00050736056,0.0000043605314,0.00022116554,0.0000017209273],"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":[0.0012294526,0.00069376634,0.08739629,0.00008097287,0.00035239194,0.00016442702,0.007195067,0.8631246,0.01237139,0.010588922,0.006475013,0.010327726],"study_design_scores_gemma":[0.0011650028,0.00044941678,0.984181,0.000058594014,0.000044925102,0.00020421838,0.0021809922,0.00001703221,0.0025265517,0.00039800466,0.0085396385,0.0002346256],"about_ca_topic_score_codex":0.00011139301,"about_ca_topic_score_gemma":0.000689677,"teacher_disagreement_score":0.8967847,"about_ca_system_score_codex":0.00006234764,"about_ca_system_score_gemma":0.000015142018,"threshold_uncertainty_score":0.5406184},"labels":[],"label_agreement":null},{"id":"W1982774929","doi":"10.1111/j.1467-8489.2009.00466.x","title":"Role of credence and health information in determining US consumers’ willingness‐to‐pay for grass‐finished beef","year":2009,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Economic and Environmental Valuation","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 Alberta","funders":"University of Georgia; Clemson University","keywords":"Willingness to pay; Credence; Business; Production (economics); Product (mathematics); Price premium; Agricultural science; Beef cattle; Credence good; Feedlot; Agricultural economics; Marketing; Economics; Information asymmetry; Animal science; Biology","score_opus":0.04915372975729344,"score_gpt":0.2247408700501738,"score_spread":0.17558714029288036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982774929","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":[0.99662334,0.00025745734,0.000049694638,0.0026610447,0.00006689815,0.0001847197,0.00003521777,0.0000021796966,0.0001194323],"genre_scores_gemma":[0.9977652,0.00040633208,0.0014218286,0.000286997,0.000045956214,0.0000023446714,0.000011803612,0.0000036753968,0.000055870132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868757,0.000009459093,0.0009807989,0.00012736395,0.000017664457,0.00017712226],"domain_scores_gemma":[0.99886423,0.000030354668,0.00090157334,0.00005640094,0.00001692755,0.0001305364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005743191,0.00011514406,0.00039520054,0.000121372825,0.000063542386,0.000054827382,0.00009583667,0.00007399555,0.00000774885],"category_scores_gemma":[0.000024962499,0.000093244045,0.00006562358,0.000051039402,0.00003461194,0.0005455775,0.000016404898,0.000113590264,0.0000036170813],"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":[0.00006871729,0.000055627173,0.96048915,0.000052170602,0.000048754937,3.0737013e-7,0.0035857405,0.008417976,0.00020131543,0.002896895,0.00047154707,0.023711784],"study_design_scores_gemma":[0.0007247724,0.00041903075,0.9919775,0.000049730905,0.0000056288013,0.000034035238,0.0014583615,0.00017623793,0.00018455325,0.0014524887,0.0033833527,0.00013429426],"about_ca_topic_score_codex":0.00005317201,"about_ca_topic_score_gemma":0.000021532354,"teacher_disagreement_score":0.031488348,"about_ca_system_score_codex":0.000092231785,"about_ca_system_score_gemma":0.000013439851,"threshold_uncertainty_score":0.38023818},"labels":[],"label_agreement":null},{"id":"W1999090689","doi":"10.1111/1467-8489.12030","title":"Nondiscretionary residential water use: the impact of habits and water‐efficient technologies","year":2013,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Water resources management and optimization","field":"Engineering","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 Victoria","funders":"","keywords":"Water consumption; Stock (firearms); Water use; Consumer behaviour; Subsistence agriculture; Consumption (sociology); Price elasticity of demand; Economics; Capital (architecture); Environmental economics; Water resource management; Environmental science; Business; Natural resource economics; Microeconomics; Marketing; Geography; Ecology","score_opus":0.007358983439128093,"score_gpt":0.17295965133539395,"score_spread":0.16560066789626587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999090689","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":[0.998501,0.00009162406,0.000012233147,0.0011376471,0.000048599744,0.00011833823,0.0000029571745,0.000020201212,0.00006739233],"genre_scores_gemma":[0.9992513,0.0001417812,0.00009767257,0.0000030691456,0.000060065537,0.0000014866182,0.000009273974,0.000006762779,0.00042860978],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99939275,0.000014851867,0.00029959623,0.0000706396,0.000050803377,0.00017134295],"domain_scores_gemma":[0.9997652,0.000012556287,0.00007210877,0.00006448523,0.000043082695,0.000042573047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009123469,0.00012205744,0.00015807884,0.00007419267,0.000070502305,0.00014502613,0.00012584058,0.00006731846,0.000028957678],"category_scores_gemma":[0.0000031611792,0.000045032826,0.00007918828,0.000031313728,0.00009540202,0.00026487804,0.00006596879,0.00013695545,0.0000042012757],"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":[0.000020786956,0.000016623191,0.004991895,0.000041230927,0.0002915438,0.0000022792187,0.0016607739,0.96954006,0.015977647,0.000025740976,0.006492616,0.00093880063],"study_design_scores_gemma":[0.0011305118,0.00047127903,0.9017758,0.00013726394,0.0001649971,0.0004530832,0.006195916,0.006828007,0.07888669,0.00035354448,0.00305401,0.0005489141],"about_ca_topic_score_codex":0.00003169722,"about_ca_topic_score_gemma":0.0000016320464,"teacher_disagreement_score":0.96271205,"about_ca_system_score_codex":0.000023331155,"about_ca_system_score_gemma":0.000001294306,"threshold_uncertainty_score":0.18363854},"labels":[],"label_agreement":null},{"id":"W2001944581","doi":"10.1111/j.1467-8489.2008.00420.x","title":"Economic and ecosystem impacts of illegal, unregulated and unreported (IUU) fishing in Northern Australia*","year":2008,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Ichthyology and Marine Biology","field":"Environmental Science","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":"Bamfield Marine Sciences Centre; University of Victoria","funders":"","keywords":"Fishing; Fishery; Ecosystem; Predation; Fisheries management; Geography; Ecology; Biology","score_opus":0.013170860468985102,"score_gpt":0.20151751511632912,"score_spread":0.18834665464734401,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001944581","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":[0.9989675,0.00005596164,1.0424828e-7,0.00064881233,0.00007173241,0.00007867761,0.0000069821544,0.0000031315644,0.000167042],"genre_scores_gemma":[0.9991491,0.00023900627,0.00006311065,0.00002038915,0.000052774136,4.5936912e-7,0.0000041689045,0.0000044948265,0.00046653024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998966,0.000054364416,0.0005674871,0.00017190831,0.00003363067,0.00020661867],"domain_scores_gemma":[0.9993119,0.000043215117,0.00041800202,0.000063255626,0.000010174548,0.00015343976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024868202,0.00014875054,0.00035186755,0.000050300714,0.00007392091,0.000015448246,0.00009733726,0.00016151798,0.000060098766],"category_scores_gemma":[0.000013717792,0.000098916746,0.000049897164,0.00004074046,0.00025635867,0.0002482068,0.000085061765,0.00020409902,0.000004897727],"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":[0.00006682208,0.000020252228,0.9934207,0.000013348367,0.000054981698,0.000029088069,0.0007036692,0.0022999193,0.0022832893,0.00001446057,0.00077328976,0.0003201693],"study_design_scores_gemma":[0.0006187567,0.00020932566,0.9922574,0.00002544212,0.000021352795,0.0038015905,0.0005893011,0.000011621666,0.0006809321,0.000031524,0.0016162812,0.00013646195],"about_ca_topic_score_codex":0.0007108245,"about_ca_topic_score_gemma":0.005918143,"teacher_disagreement_score":0.0052073183,"about_ca_system_score_codex":0.000087267494,"about_ca_system_score_gemma":0.000012693974,"threshold_uncertainty_score":0.40337077},"labels":[],"label_agreement":null},{"id":"W2020279631","doi":"10.1111/1467-8489.12038","title":"An economic model of aboriginal fire‐stick farming","year":2013,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Economic and Environmental Valuation","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":"University of Calgary","funders":"","keywords":"Incentive; Context (archaeology); Natural resource economics; Greenhouse gas; Agriculture; Biodiversity; Resource (disambiguation); Payment; Welfare; Economics; Economic model; Business; Environmental resource management; Geography; Ecology; Market economy; Computer science; Microeconomics","score_opus":0.04543785205565004,"score_gpt":0.21157600938542387,"score_spread":0.16613815732977383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020279631","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":[0.9976645,0.0002063825,0.000062730265,0.0006895519,0.0001575218,0.0001176502,0.00005759283,0.000005444551,0.0010386043],"genre_scores_gemma":[0.9965011,0.00046259342,0.0017214126,0.000064105494,0.00021689748,0.0000032461614,0.000013206862,0.000013947389,0.001003479],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99840873,0.000014352606,0.0010935126,0.00023309252,0.00001912105,0.00023121333],"domain_scores_gemma":[0.99850315,0.000025253039,0.0010923477,0.00014620565,0.000022708156,0.00021033814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033103398,0.00018584289,0.00048921,0.00009327893,0.00007632127,0.0000887561,0.00025444487,0.00012648183,0.00034409118],"category_scores_gemma":[0.0000060547027,0.00015834856,0.00015411108,0.000029218301,0.000113379625,0.00091259734,0.000023826758,0.00018452956,0.00011858456],"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":[0.000065015454,0.00030839824,0.3207262,0.00009468903,0.00046289322,0.0000015453659,0.0031557993,0.61631197,0.0035054896,0.042223494,0.0063611274,0.0067833583],"study_design_scores_gemma":[0.0016110898,0.0006288991,0.95158225,0.00005108126,0.00006170046,0.00016663525,0.0029779042,0.024084635,0.001448682,0.011829645,0.0048328303,0.0007246641],"about_ca_topic_score_codex":0.00015265762,"about_ca_topic_score_gemma":0.0000065765325,"teacher_disagreement_score":0.63085604,"about_ca_system_score_codex":0.00015603939,"about_ca_system_score_gemma":0.000020889986,"threshold_uncertainty_score":0.6457267},"labels":[],"label_agreement":null},{"id":"W2021476707","doi":"10.1111/1467-8489.00168","title":"Determinants of non‐farm labour participation rates among farmers in Australia","year":2002,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Multivariate probit model; Spouse; Agriculture; Probit model; Socioeconomic status; Demographic economics; Economics; Socioeconomics; Geography; Agricultural economics; Labour economics; Demography; Political science; Sociology; Population; Econometrics","score_opus":0.025900802020642516,"score_gpt":0.23998152058461233,"score_spread":0.21408071856396982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021476707","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":[0.9989255,0.000035458423,2.494099e-8,0.0007691552,0.00007229197,0.000119448814,0.000007618982,0.0000034478844,0.00006705569],"genre_scores_gemma":[0.9971761,0.00010952309,0.000038215538,0.000018637395,0.000100241254,0.0000019470585,0.000004287012,7.864556e-7,0.0025502802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987268,0.000058809135,0.00069530075,0.00015241669,0.00008947086,0.00027722013],"domain_scores_gemma":[0.9992152,0.00006341769,0.000445407,0.000030094334,0.00009964946,0.00014627294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002936294,0.00015566884,0.0003392938,0.000029618157,0.0000697827,0.000050962364,0.00017616247,0.00012093395,0.00014856622],"category_scores_gemma":[0.000031142572,0.000058051148,0.000108941735,0.00018845138,0.000114168695,0.00025953667,0.00003152259,0.00017951972,0.000003288534],"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":[0.000025868507,0.000073513824,0.97985065,0.000021257205,0.00001567733,0.0000069670646,0.00055361073,0.00014573002,0.0050151553,0.000013449107,0.00041016395,0.013867931],"study_design_scores_gemma":[0.00027802563,0.00022331697,0.991153,0.00004598679,0.000012530181,0.00002424953,0.0027787401,0.000017165845,0.004318747,0.000077336124,0.00091667444,0.00015424548],"about_ca_topic_score_codex":0.0002353398,"about_ca_topic_score_gemma":0.0005391281,"teacher_disagreement_score":0.013713686,"about_ca_system_score_codex":0.00004577796,"about_ca_system_score_gemma":0.0000036828803,"threshold_uncertainty_score":0.2367257},"labels":[],"label_agreement":null},{"id":"W2059569121","doi":"10.1111/j.1467-8489.2007.00426.x","title":"Economic development lessons from and for North American Indian economies*","year":2008,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":39,"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":"Indigenous; Reservation; Productivity; Natural resource; Property rights; Development economics; Politics; Acculturation; Economy; Economic growth; Political science; Economics; Geography; Immigration; Ecology","score_opus":0.034608243838896185,"score_gpt":0.21582067364827534,"score_spread":0.18121242980937916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059569121","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":[0.99450713,0.0006100969,0.0000093197405,0.0038059477,0.0002901578,0.00019272017,0.0002709639,0.00001103162,0.00030264302],"genre_scores_gemma":[0.99275595,0.0012760576,0.0036484795,0.00027868027,0.0004705509,0.000010507129,0.00006494617,0.000025567015,0.0014692612],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977615,0.000012141993,0.0013161958,0.0004547862,0.000022914406,0.0004324571],"domain_scores_gemma":[0.9979719,0.000109154666,0.0013486012,0.00014044058,0.000030997737,0.0003989221],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002864524,0.00032169238,0.000875979,0.00019888388,0.00032776088,0.00013502386,0.00029636224,0.000112753594,0.000051690728],"category_scores_gemma":[0.000023416113,0.00027549764,0.00018252162,0.000059036083,0.0002382147,0.00037600304,0.000093929,0.00026526774,0.000046895213],"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":[0.00036602342,0.0001451639,0.9198956,0.00008383418,0.0016998674,0.000027273136,0.011629916,0.0022971998,0.000032939068,0.0044760206,0.021790385,0.03755577],"study_design_scores_gemma":[0.0008887132,0.00013145003,0.7481341,0.000014869735,0.000013545303,0.00020916808,0.0008710901,0.000016061185,0.00013350605,0.00039068208,0.24879482,0.00040202794],"about_ca_topic_score_codex":0.00018413171,"about_ca_topic_score_gemma":0.00045840218,"teacher_disagreement_score":0.22700444,"about_ca_system_score_codex":0.0002808365,"about_ca_system_score_gemma":0.00006766635,"threshold_uncertainty_score":0.9999697},"labels":[],"label_agreement":null},{"id":"W2095551648","doi":"10.1111/j.1467-8489.2009.00469.x","title":"Complexity in choice experiments: choice of the status quo alternative and implications for welfare measurement*","year":2009,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":205,"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; Natural Sciences and Engineering Research Council of Canada; Commonwealth Scientific and Industrial Research Organisation","keywords":"Respondent; Status quo; Choice set; Preference; Welfare; Set (abstract data type); Task (project management); Status quo bias; Function (biology); Economics; Order (exchange); Econometrics; Psychology; Public economics; Microeconomics; Computer science; Political science","score_opus":0.19932018305079774,"score_gpt":0.27271112891714094,"score_spread":0.0733909458663432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095551648","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":[0.99143577,0.00060040504,0.000013427455,0.007218343,0.00008758412,0.00020605033,0.00008583875,0.0000015477738,0.00035101103],"genre_scores_gemma":[0.9991413,0.00026459582,0.00026889757,0.000106821,0.00009230393,0.0000039521055,0.0000058018018,0.0000044073954,0.00011194065],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989705,0.000015878772,0.00064962835,0.00016124963,0.00002093139,0.0001818189],"domain_scores_gemma":[0.99902076,0.00002987959,0.00073967734,0.00009090723,0.000029596682,0.00008916588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027588574,0.00011276429,0.0002864694,0.0000563473,0.00010028272,0.000034734065,0.00014485692,0.000057021414,0.00001557336],"category_scores_gemma":[0.00004930124,0.00008203485,0.00009055617,0.000046628727,0.00008958662,0.00023945786,0.00002587686,0.00011410672,8.3761535e-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":[0.000037571357,0.0001728704,0.96234465,0.000027420469,0.00013246495,8.9019835e-8,0.0014843352,0.0025575983,0.0007676407,0.029024074,0.00084911555,0.0026021863],"study_design_scores_gemma":[0.00092310336,0.00012278237,0.987661,0.000021741045,0.000010871118,0.00000839783,0.000682253,0.000020782014,0.00032894206,0.0041701016,0.0059412713,0.00010877604],"about_ca_topic_score_codex":0.0001224343,"about_ca_topic_score_gemma":0.00007119388,"teacher_disagreement_score":0.025316345,"about_ca_system_score_codex":0.0002001127,"about_ca_system_score_gemma":0.0000071210548,"threshold_uncertainty_score":0.33452842},"labels":[],"label_agreement":null},{"id":"W2096161461","doi":"10.1111/j.1467-8489.2004.00264.x","title":"Wildlife trade and endangered species protection","year":2004,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","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":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Poaching; Endangered species; Wildlife; Enforcement; Business; CITES; Incentive; Natural resource economics; Wildlife conservation; Wildlife trade; International trade; Fishery; Ecology; Economics; Microeconomics; Habitat; Biology","score_opus":0.06695802101182279,"score_gpt":0.18324763825187534,"score_spread":0.11628961724005256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096161461","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":[0.989774,0.00041533075,0.00003972171,0.008829132,0.00014006527,0.000108846165,0.000022100672,0.000005841363,0.0006649807],"genre_scores_gemma":[0.9975666,0.0007713705,0.00039440332,0.00015762422,0.0002757943,0.0000020419152,0.000005404449,0.000008320525,0.0008184542],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906033,0.000009056554,0.0005770712,0.00017812432,0.000018258563,0.00015716444],"domain_scores_gemma":[0.99926263,0.000009747292,0.0005287142,0.0000612165,0.000005658585,0.00013200467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025640248,0.0001355374,0.00029707345,0.00007875158,0.000104188846,0.0000848728,0.00008200103,0.00009892333,0.00004772437],"category_scores_gemma":[0.000012524806,0.00011089183,0.00008825103,0.000038374423,0.000101670055,0.00038037554,0.000024048577,0.00017994002,0.0000195467],"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":[0.000461878,0.00094218575,0.65214604,0.000409159,0.0019230626,0.000039790826,0.026048593,0.06196513,0.009176235,0.2079418,0.014637573,0.024308532],"study_design_scores_gemma":[0.00095842633,0.00020649827,0.9716264,0.000023533434,0.000014293861,0.0003140686,0.0013433784,0.0000053809076,0.00058291206,0.0038592839,0.020873299,0.00019250443],"about_ca_topic_score_codex":0.000029433784,"about_ca_topic_score_gemma":0.000008401152,"teacher_disagreement_score":0.31948036,"about_ca_system_score_codex":0.00014379332,"about_ca_system_score_gemma":0.000006194207,"threshold_uncertainty_score":0.45220375},"labels":[],"label_agreement":null},{"id":"W2162050731","doi":"10.1111/j.1467-8489.2007.00371.x","title":"Peasants and plantations in the Sri Lankan tea sector: causes of the change in their relative viability*","year":2007,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","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":"University of Guelph","funders":"","keywords":"Peasant; Revenue; Production (economics); Relative price; Agriculture; Agricultural economics; Position (finance); Boom; Sri lanka; Government (linguistics); Business; Economics; Geography; Socioeconomics; Environmental science; Monetary economics","score_opus":0.040243192778824904,"score_gpt":0.2321125108742175,"score_spread":0.1918693180953926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162050731","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":[0.9925377,0.00015134718,1.0969435e-8,0.006503847,0.000055658427,0.00019998742,0.000048427384,0.0000018939268,0.0005011568],"genre_scores_gemma":[0.9992256,0.0002197804,0.000008235322,0.00019641267,0.0002794733,0.0000019158872,0.0000064919122,4.4600725e-7,0.000061604835],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990348,0.0000937225,0.0004791183,0.0001250464,0.000057911806,0.00020940797],"domain_scores_gemma":[0.99917495,0.00031533674,0.00036346415,0.00003754773,0.00003635594,0.000072367555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060079846,0.00013653011,0.00023458868,0.000022240687,0.00010668039,0.00004323011,0.00024345539,0.00010683129,0.000013724618],"category_scores_gemma":[0.000023879315,0.000034001674,0.00009126388,0.0001764915,0.00012402116,0.00022298783,0.000045136545,0.00031080502,5.4319577e-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":[0.000112743524,0.0001623582,0.9525423,0.000027671911,0.00008036967,0.0000069988,0.02238649,0.00011877492,0.010111299,0.0035927861,0.0004968069,0.0103614],"study_design_scores_gemma":[0.00018524614,0.00011416922,0.9842431,0.000041284242,0.000011560546,0.00015116669,0.009919885,0.000001278477,0.00041308536,0.00023475917,0.0045879367,0.0000965536],"about_ca_topic_score_codex":0.00057276833,"about_ca_topic_score_gemma":0.006685006,"teacher_disagreement_score":0.031700775,"about_ca_system_score_codex":0.000037080834,"about_ca_system_score_gemma":0.0000059140493,"threshold_uncertainty_score":0.373039},"labels":[],"label_agreement":null},{"id":"W2239123445","doi":"10.1111/1467-8489.12039","title":"Emerging economies, productivity growth and trade with resource‐rich economies by 2030","year":2014,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":56,"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":"Rural Industries Research and Development Corporation","keywords":"Economics; Emerging markets; Productivity; Baseline (sea); Consumption (sociology); Quarter (Canadian coin); Natural resource; Resource (disambiguation); Economy; Dutch disease; International trade; International economics; Monetary economics; Macroeconomics; Geography; Exchange rate","score_opus":0.0179578364787509,"score_gpt":0.17357915125759532,"score_spread":0.15562131477884442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2239123445","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":[0.97871506,0.0011224833,0.0000146862185,0.014312425,0.00018228052,0.00017151689,0.000104480016,0.000020536767,0.005356527],"genre_scores_gemma":[0.9964191,0.00089833635,0.00052891596,0.00038933827,0.000579385,0.0000047366393,0.00002300418,0.000034245848,0.001122975],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99755675,0.000042913172,0.0012143913,0.0006077181,0.000032686454,0.0005455688],"domain_scores_gemma":[0.99797505,0.00009354187,0.0012739149,0.00022522212,0.00002552302,0.00040676488],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007118863,0.00043048832,0.0009935158,0.00018594538,0.00026325654,0.00034069168,0.00034208744,0.00021378975,0.00004055566],"category_scores_gemma":[0.00004848872,0.00034663526,0.0001595859,0.0001105424,0.0002705115,0.00090638426,0.000077752156,0.00046582706,0.000017811642],"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":[0.0009272022,0.0007273367,0.6471739,0.0006927718,0.0029405355,0.000022634142,0.006736432,0.009290855,0.00071877893,0.15363437,0.16325131,0.013883923],"study_design_scores_gemma":[0.0030768686,0.0010855201,0.30507928,0.00009150765,0.000112405905,0.0011842859,0.0032469367,0.00009266192,0.0015698622,0.0059624547,0.67706746,0.0014307712],"about_ca_topic_score_codex":0.00006944097,"about_ca_topic_score_gemma":0.000027214568,"teacher_disagreement_score":0.5138161,"about_ca_system_score_codex":0.00011761415,"about_ca_system_score_gemma":0.000018399369,"threshold_uncertainty_score":0.99989855},"labels":[],"label_agreement":null},{"id":"W2461100922","doi":"10.1111/1467-8489.12153","title":"Carbon Pricing: Design, Experiences and Issues, edited by LarryKreiser, MikaelAndersen, BirgitteOlsen, StefanSpeck, JanetMilne and HopeAshiabor. Published by Edward Elgar Publishing, Cheltenham, UK, 2015, 256 pages. ISBN: 9781785360220, ₤75.","year":2016,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Excise; Carbon tax; Greenhouse gas; Promotion (chess); Economics; Emissions trading; Fossil fuel; Climate change; Publishing; Public economics; Natural resource economics; Economy; Political science; Engineering; Macroeconomics; Politics","score_opus":0.03736763114233629,"score_gpt":0.2161288682620036,"score_spread":0.1787612371196673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2461100922","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":[0.9291073,0.01045327,0.000017089014,0.05863374,0.00050925673,0.00027136353,0.0003029553,0.000026608077,0.0006784329],"genre_scores_gemma":[0.965699,0.025882911,0.00030887168,0.0008992582,0.0013286552,0.000017446038,0.00008170214,0.00005632899,0.005725817],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99693644,0.000067078225,0.0014570523,0.0007272819,0.000079962505,0.0007321812],"domain_scores_gemma":[0.997337,0.00017063755,0.0014338259,0.0002669265,0.0001221215,0.0006694965],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001150206,0.0005233948,0.0010359449,0.00027028896,0.00024005766,0.001287927,0.00046103663,0.000455644,0.00021634651],"category_scores_gemma":[0.00020744048,0.00036399922,0.00013843778,0.00020579602,0.0003212621,0.001884855,0.00016801502,0.0004830859,0.00001320717],"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":[0.00026087722,0.00015532505,0.039107874,0.00011224999,0.00051260163,0.000015632855,0.008315304,0.000052473206,0.0016518075,0.00080844294,0.9471361,0.0018712855],"study_design_scores_gemma":[0.007989976,0.0011796687,0.06234072,0.000370116,0.00016061713,0.0008541077,0.022208195,0.00017748756,0.0043904474,0.0020016364,0.8956685,0.0026585148],"about_ca_topic_score_codex":0.00039327628,"about_ca_topic_score_gemma":0.000073726726,"teacher_disagreement_score":0.057734482,"about_ca_system_score_codex":0.00016535407,"about_ca_system_score_gemma":0.000024685367,"threshold_uncertainty_score":0.9998812},"labels":[],"label_agreement":null},{"id":"W2771849656","doi":"10.1111/1467-8489.12241","title":"Mitigating rice production risks from drought through improving irrigation infrastructure and management in China","year":2017,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":59,"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":"Australian Centre for International Agricultural Research; National Natural Science Foundation of China; International Development Research Centre; Ministry of Science and Technology","keywords":"Irrigation; Production (economics); China; Business; Irrigation management; Yield (engineering); Environmental science; Agricultural economics; Agronomy; Geography; Economics","score_opus":0.017351371474726256,"score_gpt":0.22774638281632,"score_spread":0.21039501134159375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771849656","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":[0.99469656,0.00021400036,4.4270186e-7,0.004407096,0.00019360389,0.00017039326,0.000011299671,0.000008049237,0.00029858568],"genre_scores_gemma":[0.9971781,0.001095706,0.0006697792,0.000031202464,0.0006653086,0.0000021323071,0.000014891526,0.0000010992337,0.00034178107],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988893,0.00004513699,0.00043246345,0.00029010914,0.000108665634,0.00023431228],"domain_scores_gemma":[0.9989892,0.00003373784,0.0007540999,0.00006191185,0.000046670742,0.00011436394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001855461,0.00019554878,0.00025810025,0.00001299043,0.0005749649,0.0003136041,0.0002873192,0.00013420718,0.000010383686],"category_scores_gemma":[0.0000376676,0.0000666564,0.0000720387,0.00006826034,0.00014235155,0.0008716751,0.0001216021,0.0003228468,0.0000011847495],"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":[0.00022952416,0.00015037016,0.35513598,0.00014933868,0.00026843097,0.00006107172,0.005273603,0.0029035637,0.20253642,0.0006990754,0.0024651296,0.4301275],"study_design_scores_gemma":[0.00024819287,0.00009341081,0.9906366,0.00010901447,0.000034717912,0.00011825293,0.0037970913,0.000010005612,0.0026217566,0.0010317143,0.0011011466,0.00019810902],"about_ca_topic_score_codex":0.00061428733,"about_ca_topic_score_gemma":0.0002519332,"teacher_disagreement_score":0.6355006,"about_ca_system_score_codex":0.000046260608,"about_ca_system_score_gemma":0.0000034005352,"threshold_uncertainty_score":0.44222236},"labels":[],"label_agreement":null},{"id":"W2968865019","doi":"10.1111/1467-8489.12331","title":"Canadian beef and dairy farmers’ attitudes towards animal vaccines","year":2019,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"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 Saskatchewan","funders":"Genome Prairie; Genome British Columbia; Ministry of Agriculture - Saskatchewan; Genome Canada","keywords":"Willingness to pay; Paratuberculosis; Herd; Vaccination; Agricultural science; Business; Livestock; Veterinary medicine; Environmental health; Biotechnology; Economics; Medicine; Tuberculosis; Geography; Biology; Immunology","score_opus":0.03773348611111196,"score_gpt":0.19614975332978848,"score_spread":0.15841626721867652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968865019","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":[0.9928999,0.0007516616,7.839985e-7,0.0036613252,0.00020706102,0.00010451289,0.000042811625,0.0000039400725,0.0023279989],"genre_scores_gemma":[0.99586153,0.0006932317,0.00019062975,0.00018911154,0.00018932344,0.0000010052573,0.000011856812,0.000010732833,0.0028525717],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998908,0.000010844065,0.0005853483,0.00023030443,0.000018775747,0.0002467692],"domain_scores_gemma":[0.9991805,0.000016236523,0.00042246614,0.00008634568,0.000014497347,0.00027995434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003173157,0.00016549526,0.00038235693,0.00012902716,0.00009224633,0.000110879,0.00013982528,0.00012334499,0.0003555753],"category_scores_gemma":[0.000008664237,0.00013650404,0.00009727213,0.000041630046,0.00004507898,0.00041645678,0.00003967285,0.00018804049,0.00011027406],"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":[0.00001805691,0.00001877794,0.9932095,0.000023472188,0.0001180841,0.0000020234122,0.00048224037,0.00046962383,0.000108369706,0.0030127,0.001515613,0.0010215341],"study_design_scores_gemma":[0.00056099513,0.0001946301,0.9802333,0.000017916096,0.0000140367165,0.00016225883,0.0012010531,0.000016094735,0.000062106206,0.00036545153,0.016957495,0.00021465198],"about_ca_topic_score_codex":0.0025637986,"about_ca_topic_score_gemma":0.00084670034,"teacher_disagreement_score":0.015441883,"about_ca_system_score_codex":0.00019399627,"about_ca_system_score_gemma":0.000021446645,"threshold_uncertainty_score":0.5566473},"labels":[],"label_agreement":null},{"id":"W2973125904","doi":"10.1111/1467-8489.12338","title":"The evolution of the wage gap between rural migrants and the urban labour force in Chinese cities","year":2019,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":11,"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":"Australian Agency for International Development; International Development Research Centre","keywords":"CITES; Wage; Earnings; Poverty; Urbanization; Assimilation (phonology); Demographic economics; Development economics; Labour economics; Geography; Economic growth; Economics","score_opus":0.01014597347104469,"score_gpt":0.2213800885921756,"score_spread":0.2112341151211309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973125904","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":[0.9906896,0.00051068864,2.1863498e-7,0.0078660995,0.00015209649,0.00018013967,0.0000089202895,0.0000019022161,0.00059033965],"genre_scores_gemma":[0.99132776,0.0004646123,0.0000039028996,0.00003091849,0.00036853447,9.702347e-7,7.4299817e-7,0.000002534337,0.0078000464],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908614,0.00019119508,0.00039157583,0.00007059919,0.00008271149,0.00017775784],"domain_scores_gemma":[0.99915665,0.0002401262,0.00041251633,0.0000768508,0.00005488361,0.000058995138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010034842,0.00009289845,0.00021636418,0.000024610708,0.00039531957,0.00010405193,0.0002823126,0.00007454408,0.000010763323],"category_scores_gemma":[0.000052666903,0.00003499015,0.00010814848,0.00009823306,0.0004459566,0.0002469592,0.000037143793,0.00021564012,0.0000012493416],"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":[0.00005473141,0.000007167229,0.95204765,0.000012049231,0.000054162767,1.1458284e-7,0.037828967,0.00025045034,0.00005681202,0.008276006,0.0010797927,0.00033209045],"study_design_scores_gemma":[0.0005680885,0.000027092148,0.9264372,0.000033916473,0.000015864396,0.000007956043,0.0680928,0.0000041915805,0.000022315216,0.0021245836,0.002601743,0.00006423383],"about_ca_topic_score_codex":0.0019307871,"about_ca_topic_score_gemma":0.0058412044,"teacher_disagreement_score":0.030263832,"about_ca_system_score_codex":0.00006786587,"about_ca_system_score_gemma":0.00003970403,"threshold_uncertainty_score":0.32595292},"labels":[],"label_agreement":null},{"id":"W3012435887","doi":"10.1111/1467-8489.12368","title":"Calibration of agricultural risk programming models using positive mathematical programming","year":2020,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":6,"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 Victoria","funders":"Social Sciences and Humanities Research Council of Canada; International Association for Applied Econometrics; University of Victoria","keywords":"Calibration; Sensitivity (control systems); Function (biology); Logarithm; Exponential function; Mathematical optimization; Computer science; Econometrics; Cropping; Agriculture; Statistics; Mathematics; Engineering; Geography","score_opus":0.02959990514052914,"score_gpt":0.21492710593033013,"score_spread":0.18532720078980097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012435887","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":[0.99674344,0.00019812616,0.000057111072,0.0025373525,0.00005006945,0.0003086497,0.000039266415,0.000022089991,0.000043915432],"genre_scores_gemma":[0.9963809,0.00016436786,0.0028166308,0.000045875266,0.0004820145,0.0000021136825,0.000026952624,0.0000022100812,0.0000789258],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99807125,0.00012220553,0.0008969409,0.00029748518,0.00023182016,0.00038027644],"domain_scores_gemma":[0.9981011,0.000119544544,0.0010947832,0.000037131977,0.0002259634,0.00042148458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002314223,0.00030450948,0.0005520436,0.000017177192,0.00027163958,0.00016199738,0.00032510594,0.00020165018,0.000022896971],"category_scores_gemma":[0.000054252905,0.000096453936,0.00031313708,0.00031464407,0.00020926425,0.0007118665,0.00009586962,0.00041736054,0.0000013708116],"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":[0.000862152,0.0011437819,0.049681015,0.00049270573,0.001369997,0.0000627016,0.020130046,0.15763864,0.54488254,0.0044322195,0.002638995,0.21666521],"study_design_scores_gemma":[0.0016546932,0.0043301126,0.8687786,0.0007447144,0.0008485465,0.0020955992,0.070271365,0.0030976853,0.042693015,0.0010964979,0.002489246,0.0018999374],"about_ca_topic_score_codex":0.00006593155,"about_ca_topic_score_gemma":0.000019513887,"teacher_disagreement_score":0.8190976,"about_ca_system_score_codex":0.00004255044,"about_ca_system_score_gemma":0.000013882746,"threshold_uncertainty_score":0.39332774},"labels":[],"label_agreement":null},{"id":"W3121117553","doi":"10.1111/1467-8489.12399","title":"Product differentiation and cost pass‐through: industry‐wide versus firm‐specific cost shocks","year":2020,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":14,"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":"Product differentiation; Product (mathematics); Product proliferation; Oligopoly; Industrial organization; Microeconomics; Economics; Fixed cost; Competition (biology); Panel data; New product development; Set (abstract data type); Business; Econometrics; Marketing; Cournot competition; Product management; Computer science","score_opus":0.050693928786084086,"score_gpt":0.22722355058161736,"score_spread":0.17652962179553328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121117553","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":[0.9846449,0.00020536827,0.000004425463,0.013960203,0.0003421946,0.00019352176,0.0000051845377,0.00001591118,0.0006283166],"genre_scores_gemma":[0.9975701,0.0001987817,0.000044661097,0.00037371594,0.0015407043,0.0000021633296,0.00002219036,0.000011089436,0.0002365691],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902594,0.000015947482,0.0004269147,0.00021999712,0.00009282143,0.00021838443],"domain_scores_gemma":[0.9992608,0.000054576783,0.0004489105,0.00006839688,0.000097120326,0.00007018865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014163587,0.00020015382,0.0002831446,0.000053728036,0.00018009954,0.00044285308,0.00014660116,0.00012088326,0.00011190026],"category_scores_gemma":[0.00004816098,0.00013896872,0.00008206031,0.00013977227,0.00006337859,0.00088510924,0.00009200328,0.00050734024,0.000009305022],"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":[0.0011906105,0.00012580596,0.78542674,0.00026014127,0.00035673924,0.000042770942,0.0013866165,0.0008047352,0.0023676092,0.00057827,0.1152856,0.092174396],"study_design_scores_gemma":[0.0013103526,0.00003854227,0.76427317,0.000046968365,0.00013974846,0.00003389291,0.0016383475,0.000017820461,0.00013540596,0.000024316994,0.23209779,0.00024362504],"about_ca_topic_score_codex":0.00003504902,"about_ca_topic_score_gemma":0.000018131372,"teacher_disagreement_score":0.116812184,"about_ca_system_score_codex":0.00002849353,"about_ca_system_score_gemma":0.000009008388,"threshold_uncertainty_score":0.566698},"labels":[],"label_agreement":null},{"id":"W3186739280","doi":"10.1111/1467-8489.12442","title":"Coping with seasonality in a quarterly CGE model: COVID‐19 and U.S. agriculture<sup>*</sup>","year":2021,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computable general equilibrium; Agriculture; Economics; Coronavirus disease 2019 (COVID-19); Agricultural economics; Seasonality; Coping (psychology); Work (physics); Quarter (Canadian coin); Economic impact analysis; Econometrics; Macroeconomics; Geography; Statistics; Mathematics; Microeconomics; Engineering","score_opus":0.021877401635357643,"score_gpt":0.2014798057223143,"score_spread":0.17960240408695666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186739280","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":[0.98483956,0.0026238821,0.00003932646,0.010407725,0.000056831424,0.00015111516,0.0001029667,0.000012923936,0.0017656597],"genre_scores_gemma":[0.99489117,0.0012325057,0.0012736653,0.00087910873,0.00025496038,0.0000055834043,0.000039820603,0.000017221755,0.0014059856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99784327,0.000047085487,0.0011064666,0.0005234674,0.00004802907,0.0004316711],"domain_scores_gemma":[0.998287,0.00008557946,0.00079818553,0.00016684954,0.00009790635,0.0005644483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059293606,0.00034836764,0.00085534627,0.00010822117,0.00016258446,0.00029372828,0.00022997614,0.0002504508,0.000037199403],"category_scores_gemma":[0.000046543602,0.0002442922,0.00017762177,0.0001996679,0.00013231477,0.00066598516,0.0000611546,0.0005227872,0.000007802391],"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":[0.0013531005,0.0014532255,0.4774966,0.0013433299,0.0028647215,0.0007195256,0.0370425,0.22734448,0.0009173499,0.16427185,0.08198894,0.0032043755],"study_design_scores_gemma":[0.011322317,0.0019182025,0.7779939,0.00041499097,0.00022917143,0.010201286,0.029137284,0.0012206666,0.00043279384,0.03120616,0.1326629,0.0032602972],"about_ca_topic_score_codex":0.00006175309,"about_ca_topic_score_gemma":0.00020315578,"teacher_disagreement_score":0.30049732,"about_ca_system_score_codex":0.00018692984,"about_ca_system_score_gemma":0.00007733852,"threshold_uncertainty_score":0.9961947},"labels":[],"label_agreement":null},{"id":"W4294833207","doi":"10.1111/1467-8489.12491","title":"Adaptability and variety adoption: Implications for plant breeding policy in a changing climate","year":2022,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; University of Alberta","funders":"","keywords":"Adaptability; Variety (cybernetics); Climate change; Volatility (finance); Business; Economics; Marketing; Biology; Mathematics; Econometrics; Ecology; Statistics","score_opus":0.04700436733938788,"score_gpt":0.24860251967308877,"score_spread":0.2015981523337009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294833207","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":[0.9757817,0.00011929767,8.101304e-7,0.02359097,0.00006289987,0.00016988402,0.00017808213,0.0000068360996,0.000089537294],"genre_scores_gemma":[0.998714,0.00024326298,0.00021737463,0.000105327556,0.00047904675,0.000017388977,0.00006965841,7.9798986e-7,0.00015310904],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990587,0.000048206206,0.00040826795,0.00016395819,0.00005032331,0.0002705197],"domain_scores_gemma":[0.9992555,0.00018262702,0.00038662038,0.000023972612,0.00006176038,0.00008952664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064544566,0.00011538965,0.0001948753,0.00005410871,0.0006309147,0.00010627515,0.0001331521,0.000051630832,0.00002696784],"category_scores_gemma":[0.000025777097,0.000044451495,0.00007230398,0.00042802066,0.000039865718,0.0003185264,0.00011609459,0.00023134297,1.7229925e-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":[0.0013179516,0.0009862622,0.48294282,0.00024585414,0.00043905823,0.00001215217,0.008084472,0.009457625,0.13503768,0.11386203,0.013794661,0.23381945],"study_design_scores_gemma":[0.00024621465,0.0003855358,0.9252233,0.000013595524,0.000018826506,0.0005518848,0.011467104,0.000018378638,0.00004696426,0.00039943453,0.06147284,0.00015595849],"about_ca_topic_score_codex":0.000051889463,"about_ca_topic_score_gemma":0.00006316478,"teacher_disagreement_score":0.44228047,"about_ca_system_score_codex":0.00007138268,"about_ca_system_score_gemma":0.000008869044,"threshold_uncertainty_score":0.48525497},"labels":[],"label_agreement":null},{"id":"W4401277659","doi":"10.1111/1467-8489.12582","title":"Economic evaluation of alternative urban park designs that conserve irrigation water","year":2024,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":4,"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; Government of Western Australia","keywords":"Irrigation; Water conservation; Water use; Water resource management; Environmental science; Agricultural economics; Economic evaluation; Irrigation management; Natural resource economics; Economics; Business; Agronomy; Microeconomics","score_opus":0.03670459715837904,"score_gpt":0.2358056575455116,"score_spread":0.19910106038713257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401277659","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":[0.99765944,0.000117854746,0.0000012309422,0.00095324876,0.0002438574,0.00010358731,0.0000109803295,0.000004505205,0.00090529234],"genre_scores_gemma":[0.9994953,0.00006248525,0.000036752892,0.000019920799,0.00018863859,0.0000017111007,0.000010898451,0.000004938944,0.00017930589],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9991908,0.00007333434,0.00035446705,0.00013629715,0.00011009126,0.00013497785],"domain_scores_gemma":[0.9996114,0.000032825377,0.00019552508,0.000055237062,0.000017931932,0.00008707752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006617581,0.00010945761,0.00017951516,0.000032695534,0.000053546635,0.00008797031,0.00012745579,0.00006146814,0.0005390605],"category_scores_gemma":[0.0000021461326,0.00005508502,0.000088840105,0.000024500832,0.000032912187,0.00047872285,0.000035526882,0.000097233096,0.00006478051],"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":[0.00032553382,0.00018980549,0.32364482,0.0004873129,0.0019057317,0.000038368235,0.028958276,0.55414724,0.029186118,0.00088125607,0.043630667,0.016604869],"study_design_scores_gemma":[0.0020695995,0.0007249551,0.78156835,0.000595907,0.00086335867,0.0009121075,0.007983016,0.008650759,0.16681252,0.004950231,0.024054239,0.0008149665],"about_ca_topic_score_codex":0.00012193025,"about_ca_topic_score_gemma":0.00014275622,"teacher_disagreement_score":0.5454965,"about_ca_system_score_codex":0.00015410488,"about_ca_system_score_gemma":0.000011458317,"threshold_uncertainty_score":0.59023345},"labels":[],"label_agreement":null},{"id":"W4408381993","doi":"10.1111/1467-8489.70000","title":"Can Environmental Regulation Result in Environmental and Economic Improvements? Evidence From the Sugar Industry Under China's Mandatory Environmental Information Disclosure Policy","year":2025,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"China; Environmental regulation; Sugar industry; Business; Environmental policy; Sugar; Natural resource economics; Economics; Environmental management system; Public economics; Political science; Ecology","score_opus":0.008863521226654845,"score_gpt":0.18205576572297874,"score_spread":0.1731922444963239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408381993","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":[0.99044055,0.00092153397,0.0000052611017,0.0073635792,0.0001767861,0.0002342849,0.0006040099,0.0000047957906,0.00024920556],"genre_scores_gemma":[0.9958078,0.0025012693,0.00006144816,0.00039002748,0.00023624604,0.000007758646,0.00011945115,0.000013540261,0.0008624218],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99795055,0.000053229836,0.0012615768,0.00036826666,0.00004702733,0.0003193547],"domain_scores_gemma":[0.9984666,0.000081568396,0.0010457374,0.00024890996,0.0000012489238,0.00015591914],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004838909,0.00030857403,0.00043934915,0.00020455987,0.00019079511,0.00018113489,0.0003284205,0.0003137018,0.00017020851],"category_scores_gemma":[0.000013847942,0.0002500271,0.000120866236,0.000042986718,0.00028823267,0.0011539436,0.0002010008,0.0005964975,0.000031135027],"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":[0.00013214297,0.000107519154,0.9763188,0.00001835743,0.00032404868,0.0000021696503,0.0019921246,0.010665279,0.0018610139,0.004356638,0.0012976689,0.0029242835],"study_design_scores_gemma":[0.0012251924,0.00008469726,0.9864063,0.00005363458,0.000027810947,0.000027957944,0.002882263,0.00008191052,0.00044017515,0.0022259462,0.0062583927,0.00028572045],"about_ca_topic_score_codex":0.0005687944,"about_ca_topic_score_gemma":0.00010369207,"teacher_disagreement_score":0.010583368,"about_ca_system_score_codex":0.0010176806,"about_ca_system_score_gemma":0.000026253783,"threshold_uncertainty_score":0.9999952},"labels":[],"label_agreement":null},{"id":"W4410924886","doi":"10.1111/1467-8489.70028","title":"The Consequences of Soil Organic Carbon for Crop Yield, Farm Productivity and Profit","year":2025,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":0,"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":"Agriculture and Agri-Food Canada; Saskatchewan Wheat Development Commission; Giannini Foundation of Agricultural Economics; University of Saskatchewan","keywords":"Productivity; Agricultural economics; Yield (engineering); Soil carbon; Profit (economics); Economics; Crop yield; Agroforestry; Crop productivity; Agronomy; Environmental science; Agricultural science; Crop; Soil water; Microeconomics; Soil science; Economic growth","score_opus":0.017514167531896416,"score_gpt":0.20934141995993213,"score_spread":0.19182725242803572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410924886","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":[0.9897575,0.00049682806,1.18650995e-7,0.009268651,0.00013604375,0.00017108192,0.000016101274,0.000005033988,0.0001486364],"genre_scores_gemma":[0.99829257,0.0003045525,0.0000212033,0.000038584552,0.00016080785,0.0000029513615,0.0000027633437,6.9642437e-7,0.0011758624],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992307,0.000037776375,0.00035804138,0.00014507717,0.000054851578,0.00017356765],"domain_scores_gemma":[0.9991823,0.00025100654,0.00032210926,0.000034960143,0.00013906477,0.00007056483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003540446,0.00012336424,0.00024012386,0.000012706098,0.00019520937,0.000079273486,0.00016717035,0.00009112821,0.0000024669139],"category_scores_gemma":[0.00008731158,0.000037447702,0.00008935692,0.00011037715,0.0002772863,0.000054505672,0.00004209926,0.00014755061,6.358575e-8],"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":[0.0007886288,0.0001285639,0.14729562,0.00018221165,0.00068561104,0.0000042221836,0.0007629009,0.00029987787,0.75490385,0.004828989,0.001441632,0.08867787],"study_design_scores_gemma":[0.0005571506,0.0008152485,0.8781633,0.00012636816,0.00016565573,0.00026889652,0.0060271416,0.000057461282,0.106548965,0.0022905853,0.00466641,0.00031282633],"about_ca_topic_score_codex":0.00010780021,"about_ca_topic_score_gemma":0.001040783,"teacher_disagreement_score":0.7308677,"about_ca_system_score_codex":0.000020532696,"about_ca_system_score_gemma":0.000021162632,"threshold_uncertainty_score":0.1527073},"labels":[],"label_agreement":null},{"id":"W4411397316","doi":"10.1111/1467-8489.70033","title":"Is There a ‘Price’ to Pay for Agricultural <scp>TFP</scp> Measurement? Limitations of the Distance Function Approach","year":2025,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Hong Kong Polytechnic University","keywords":"Total factor productivity; Economics; Superlative; Econometrics; Shadow price; Productivity; Leverage (statistics); Agriculture; Price index; Agricultural productivity; Index (typography); Agricultural economics; Statistics; Macroeconomics; Mathematics; Computer science","score_opus":0.10531841647626407,"score_gpt":0.28356205153693637,"score_spread":0.1782436350606723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411397316","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":[0.98568755,0.00031253468,0.002354743,0.009222335,0.00033850886,0.00028634563,0.000027330741,0.0000054848592,0.0017651677],"genre_scores_gemma":[0.9843043,0.000033925742,0.0007308392,0.00022687193,0.00013922741,0.0000056163353,0.0000018338784,0.0000041679386,0.014553197],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99781686,0.0001300154,0.0010281259,0.00029913487,0.00047900603,0.00024685173],"domain_scores_gemma":[0.99703014,0.00062718935,0.00097169844,0.00023807531,0.0010014179,0.00013149496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016801482,0.00018531345,0.00041666604,0.00015124479,0.0003405945,0.00027384743,0.00071707455,0.00010280294,0.0000041395733],"category_scores_gemma":[0.0013299284,0.000072731076,0.00045017156,0.00090112194,0.00010311456,0.00026627156,0.0000742662,0.00023249157,0.0000037911702],"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":[0.00023904735,0.00084051385,0.04561002,0.00015747779,0.0020486878,0.0000011900981,0.020375777,0.20137134,0.020933265,0.016908683,0.6628273,0.028686693],"study_design_scores_gemma":[0.00050785136,0.00018083499,0.80401796,0.00010959486,0.00025097927,0.00002479828,0.028547222,0.000110201916,0.002230067,0.0020634478,0.16184865,0.00010837176],"about_ca_topic_score_codex":0.00000725494,"about_ca_topic_score_gemma":0.000036212175,"teacher_disagreement_score":0.75840795,"about_ca_system_score_codex":0.00010108417,"about_ca_system_score_gemma":0.000066024615,"threshold_uncertainty_score":0.29658872},"labels":[],"label_agreement":null},{"id":"W4412763935","doi":"10.1111/1467-8489.70044","title":"Including Harvested Grain Biogenic <scp>CO<sub>2</sub></scp> to Address a Critical Flaw in Climate Accounting","year":2025,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Accounting; Climate change; Environmental science; Business; Materials science; Geology; Oceanography","score_opus":0.05362697705698625,"score_gpt":0.27175997807648833,"score_spread":0.2181330010195021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412763935","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":[0.9915621,0.0005567746,0.000009315209,0.004445278,0.00049665937,0.00019717372,0.00023524639,0.000016370182,0.0024810347],"genre_scores_gemma":[0.9969823,0.0011414432,0.00022245699,0.0008402266,0.00041941708,0.000008454462,0.00002276277,0.000023479262,0.0003394721],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971152,0.0000399577,0.0016111591,0.00044323734,0.000035593566,0.00075487106],"domain_scores_gemma":[0.9984861,0.00030807193,0.00065500627,0.00017898604,0.00006646213,0.0003053591],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012704817,0.00032628642,0.00083517266,0.0006945708,0.00022401626,0.00041770836,0.00039529937,0.00029395465,0.000017569348],"category_scores_gemma":[0.00045175976,0.00030522863,0.0002616054,0.0003798614,0.00012078141,0.0006414555,0.00019995803,0.0005403088,0.000092481874],"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":[0.0003459046,0.0010946384,0.69388425,0.0015077017,0.001275876,0.0001344115,0.014398832,0.008542525,0.026100269,0.18752302,0.05921011,0.005982455],"study_design_scores_gemma":[0.002815218,0.0003711383,0.89683187,0.0007583385,0.00008007991,0.000319522,0.009198389,0.00018005769,0.01670285,0.008014872,0.06401742,0.00071023125],"about_ca_topic_score_codex":0.000060307502,"about_ca_topic_score_gemma":0.00021778881,"teacher_disagreement_score":0.20294762,"about_ca_system_score_codex":0.00028173818,"about_ca_system_score_gemma":0.00002639605,"threshold_uncertainty_score":0.99994},"labels":[],"label_agreement":null},{"id":"W4416407766","doi":"10.1111/1467-8489.70061","title":"Willingness‐to‐Pay for Safe Vegetables: A Comparative Analysis Between Wet Market and Supermarket Shoppers in Urban Cambodia","year":2025,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Australian Centre for International Agricultural Research; Purdue University; United States Agency for International Development","keywords":"Willingness to pay; Certification; Price premium; Purchasing; Agriculture; Food safety; Organic certification; Emerging markets","score_opus":0.015064024339182991,"score_gpt":0.2218421972699119,"score_spread":0.2067781729307289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416407766","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":[0.985442,0.00026758158,9.659699e-7,0.013425958,0.000076734956,0.00025950087,0.00015034234,0.0000072444923,0.0003696897],"genre_scores_gemma":[0.99659157,0.00015227085,0.00012895126,0.00017808833,0.0003749893,0.0000051148136,0.00005151265,8.909569e-7,0.0025166178],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985967,0.00008473853,0.000597164,0.00030847525,0.00007877109,0.0003341212],"domain_scores_gemma":[0.99907374,0.00031183416,0.00022705195,0.000040598716,0.000096744814,0.0002500114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039290095,0.00025327326,0.00070320826,0.00007162527,0.00018316213,0.00016254355,0.0002421046,0.00017425719,0.00004391907],"category_scores_gemma":[0.000028296967,0.00008276003,0.00021612378,0.0006363163,0.00006644705,0.00020238737,0.00006281526,0.00026930083,8.52592e-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":[0.00034097343,0.0001262424,0.8892553,0.000072333474,0.0013950007,0.0000055911437,0.0016685803,0.00054161105,0.010489147,0.00019893456,0.08914039,0.0067659193],"study_design_scores_gemma":[0.00040379417,0.00024947798,0.9212679,0.00008116829,0.00028434105,0.000015090333,0.005052712,0.000008595184,0.00042253936,0.00003421134,0.07194599,0.00023413422],"about_ca_topic_score_codex":0.000038055223,"about_ca_topic_score_gemma":0.0005374245,"teacher_disagreement_score":0.03201267,"about_ca_system_score_codex":0.00005737986,"about_ca_system_score_gemma":0.000013765602,"threshold_uncertainty_score":0.3374856},"labels":[],"label_agreement":null}]}