{"meta":{"query_hash":"b44edfe54dab","filters":{"venue":"Asian Journal of Agriculture and Development"},"cohort_total":7,"direct_labels_cover":0,"predictions_cover":7,"exported":7,"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/b44edfe54dab","api":"https://metacan.xera.ac/api/v1/cohort?venue=Asian+Journal+of+Agriculture+and+Development"},"results":[{"id":"W289949106","doi":"10.37801/ajad2011.8.2.4","title":"Spatial Distribution of Farm-Family Resources in the Mid-Hills of Nepal","year":2011,"lang":"en","type":"article","venue":"Asian Journal of Agriculture and Development","topic":"Rural development and sustainability","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":"Nova Scotia Department of Agriculture","funders":"","keywords":"Livelihood; Socioeconomic status; Agriculture; Geography; Distribution (mathematics); Resource (disambiguation); Geographic information system; Spatial analysis; Socioeconomics; Agricultural economics; Economic growth; Business; Economics; Cartography; Population; Sociology; Demography; Computer science","score_opus":0.013605163525809401,"score_gpt":0.1875427421813365,"score_spread":0.17393757865552711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W289949106","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":[0.998204,0.00025631758,0.000010130565,0.00058535655,0.00005512565,0.00011696408,0.0000059200693,0.00000227453,0.00076389214],"genre_scores_gemma":[0.9995113,0.000050579656,0.00030984142,0.000037447837,0.00004912062,0.0000018593474,0.000016740501,3.2587454e-7,0.00002280584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882454,0.00009664936,0.0005516198,0.00009731947,0.0002802668,0.00014957963],"domain_scores_gemma":[0.9993547,0.00004436141,0.00032395715,0.00002694162,0.00019742415,0.000052605683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005503583,0.000109761095,0.00023106487,0.000015496646,0.000068569454,0.000013662232,0.0002243189,0.000071664734,0.00001819427],"category_scores_gemma":[0.000036971145,0.000030474359,0.00006374739,0.00024232092,0.00006783091,0.0000806287,0.000037026544,0.00012117884,4.172329e-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":[0.00042169978,0.00067907135,0.4780834,0.00007580405,0.00010692421,0.000055082815,0.042382143,0.0000010351536,0.03236828,0.0003537881,0.0019307524,0.44354203],"study_design_scores_gemma":[0.00017437249,0.00021343461,0.9709625,0.0000453277,0.000007754292,0.000023343919,0.011881274,9.288922e-8,0.0062393313,0.00028811084,0.01008403,0.000080407415],"about_ca_topic_score_codex":0.0001661547,"about_ca_topic_score_gemma":0.00041427795,"teacher_disagreement_score":0.49287912,"about_ca_system_score_codex":0.000023416178,"about_ca_system_score_gemma":0.000029894716,"threshold_uncertainty_score":0.12427083},"labels":[],"label_agreement":null},{"id":"W4229038130","doi":"10.37801/ajad2022.19.1.p1","title":"Exploring Pathways for Promoting and Scaling Up Climate-Smart Agriculture in Myanmar","year":2022,"lang":"en","type":"article","venue":"Asian Journal of Agriculture and Development","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Consortium of International Agricultural Research Centers; Rural Development Administration; International Development Research Centre; Southeast Asian Regional Center for Graduate Study and Research in Agriculture; Global Environment Facility","keywords":"Food security; Empowerment; Livelihood; Business; Economic growth; Context (archaeology); Sustainable development; Private sector; Agriculture; Environmental resource management; Sustainability; Political science; Economics; Ecology; Geography","score_opus":0.13167878134122557,"score_gpt":0.2715153456473913,"score_spread":0.13983656430616576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229038130","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":[0.99538064,0.0006247097,0.00017952335,0.0025363988,0.00042268145,0.0003860882,0.0000071915115,0.000015949574,0.00044679365],"genre_scores_gemma":[0.99218386,0.0005104599,0.006803776,0.00007746343,0.00025313074,0.00007625957,0.000021178443,0.00000784768,0.000066019165],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9987248,0.00010030858,0.00040964276,0.0001533942,0.0003519046,0.0002599594],"domain_scores_gemma":[0.9993443,0.00006702258,0.0002906439,0.000027679944,0.00015563732,0.00011474129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012555087,0.00011338848,0.00018576144,0.000103404804,0.0009180793,0.00010194757,0.00009473312,0.00004303618,0.000011735895],"category_scores_gemma":[0.00010746226,0.0000815214,0.000035570756,0.00026504853,0.000023695851,0.0004421189,0.000053553536,0.00018469557,3.98099e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006404075,0.00010841525,0.0134711545,0.00011480804,0.00004410316,0.000025984735,0.9087789,0.000053497988,0.0033357483,0.003168323,0.0010103766,0.06982466],"study_design_scores_gemma":[0.0009920881,0.00016143295,0.13791206,0.00029876945,0.000029516888,0.00009884482,0.76871467,0.000012386784,0.001502295,0.00057117187,0.089343704,0.00036303303],"about_ca_topic_score_codex":0.000023858443,"about_ca_topic_score_gemma":0.000793622,"teacher_disagreement_score":0.1400642,"about_ca_system_score_codex":0.00021587581,"about_ca_system_score_gemma":0.00012142038,"threshold_uncertainty_score":0.7061216},"labels":[],"label_agreement":null},{"id":"W4283652715","doi":"10.37801/ajad2022.19.1.3","title":"Coping with Climatic Stress in Eastern India: Farmer Adoption of Stress-Tolerant Rice Varieties","year":2022,"lang":"en","type":"article","venue":"Asian Journal of Agriculture and Development","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":3,"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":"McGill University; Bill and Melinda Gates Foundation","keywords":"Business; Climate change; Coping (psychology); Agricultural economics; Economics; Psychology; Ecology; Biology","score_opus":0.0183709115374246,"score_gpt":0.21195611575915782,"score_spread":0.19358520422173323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283652715","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":[0.9972916,0.00063906336,0.000008411197,0.0014653762,0.00008359693,0.00018940213,0.000042916126,0.0000068041604,0.0002728141],"genre_scores_gemma":[0.99912655,0.00009890857,0.00041856806,0.00014403908,0.000083826424,0.000011386723,0.00007131226,0.0000013818909,0.00004402329],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984414,0.00010063591,0.0005275951,0.00016270851,0.00051569217,0.00025199732],"domain_scores_gemma":[0.9990787,0.000051260904,0.0005669687,0.000030132007,0.00015347473,0.00011949067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023425119,0.00019039826,0.00035020072,0.000047373356,0.00016593844,0.00005484998,0.00020277359,0.000065087115,0.0001145111],"category_scores_gemma":[0.0000101125115,0.00006226097,0.00004748603,0.0004492761,0.000033393197,0.00019582348,0.00009818543,0.00032896793,0.0000015457592],"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":[0.0008135771,0.0021420592,0.7993,0.0006186685,0.00043448375,0.0005064692,0.059517495,0.0006685734,0.08395434,0.00013488653,0.0032185111,0.048690937],"study_design_scores_gemma":[0.0006482,0.0008024902,0.9131367,0.00030928812,0.000031397605,0.00035658307,0.07864745,0.0000018527885,0.0024804287,0.000021584308,0.0032885894,0.0002754435],"about_ca_topic_score_codex":0.000021380452,"about_ca_topic_score_gemma":0.00034385605,"teacher_disagreement_score":0.1138367,"about_ca_system_score_codex":0.00008328227,"about_ca_system_score_gemma":0.000031785385,"threshold_uncertainty_score":0.2538929},"labels":[],"label_agreement":null},{"id":"W4312171743","doi":"10.37801/ajad2022.19.2.5","title":"Fish and Fishery Products Trade by India: Trends, Competitiveness, and Comparative Advantage","year":2022,"lang":"en","type":"article","venue":"Asian Journal of Agriculture and Development","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Revealed comparative advantage; Fishery; Fish products; Comparative advantage; Business; Fish <Actinopterygii>; Dried fish; Commodity; Index (typography); International trade; Geography; Biology","score_opus":0.012596912810021186,"score_gpt":0.1932769945546057,"score_spread":0.18068008174458453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312171743","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":[0.96483594,0.0033734497,0.00002614325,0.0151790315,0.00041539,0.00024773818,0.00003103833,0.000029746261,0.015861519],"genre_scores_gemma":[0.9976666,0.00008568155,0.00025561627,0.0014934577,0.00021628018,0.000008854681,0.00005374022,0.000006179792,0.00021356741],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990213,0.000028961815,0.00029070696,0.00020882742,0.00026795425,0.00018227621],"domain_scores_gemma":[0.99956,0.00001596817,0.0002773993,0.000042088144,0.00006697758,0.000037576032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019353765,0.00018814846,0.00031108945,0.0001161115,0.00036778356,0.00016801848,0.00011343868,0.00003145429,0.00007096573],"category_scores_gemma":[0.000005651705,0.00013709725,0.000025354615,0.00029543263,0.00005694745,0.00054710073,0.00014246846,0.00023247722,7.642508e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011391636,0.0023108902,0.5319886,0.0013661293,0.0015955266,0.0014364044,0.018515054,0.000034895078,0.007531257,0.021755384,0.2712747,0.14105201],"study_design_scores_gemma":[0.0006166378,0.00004322765,0.4099578,0.000043991357,0.000029028983,0.00020416801,0.0068530072,5.750828e-7,0.00020397597,0.000044252745,0.5818336,0.00016971836],"about_ca_topic_score_codex":0.0000041545673,"about_ca_topic_score_gemma":0.000011474405,"teacher_disagreement_score":0.31055892,"about_ca_system_score_codex":0.000027440876,"about_ca_system_score_gemma":0.000029963981,"threshold_uncertainty_score":0.55906636},"labels":[],"label_agreement":null},{"id":"W4321515978","doi":"10.37801/ajad2010.7.1.3","title":"Climate Change and Asian Agriculture","year":2010,"lang":"en","type":"article","venue":"Asian Journal of Agriculture and Development","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Greenhouse gas; Agriculture; Climate change; Food security; Natural resource economics; Environmental science; Global warming; Agricultural productivity; Livestock; Land use, land-use change and forestry; Agroforestry; Agricultural economics; Business; Environmental protection; Geography; Economics; Ecology","score_opus":0.026809772397407863,"score_gpt":0.22071586385121278,"score_spread":0.1939060914538049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321515978","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":[0.9831151,0.0009424535,9.793316e-7,0.012920509,0.00045137503,0.00031269545,0.00003327763,0.00004309052,0.0021805365],"genre_scores_gemma":[0.99499047,0.00082500116,0.0017148281,0.0007139059,0.0015667435,0.00001392843,0.0000581251,0.0000028223199,0.00011415211],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99824893,0.000046805526,0.00051953323,0.0002996366,0.0003956341,0.00048946653],"domain_scores_gemma":[0.99863935,0.000043782336,0.00043661994,0.000050012637,0.00028194464,0.00054829655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035804158,0.00035843372,0.0004214323,0.00003527712,0.00036299913,0.0002317226,0.0002553645,0.0003078175,0.00014187263],"category_scores_gemma":[0.000046508787,0.000105515064,0.000091847214,0.0003345517,0.00007117006,0.00047396068,0.00013306385,0.00062666566,0.000014382156],"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":[0.0000628499,0.00023172452,0.016481364,0.00005513588,0.00008816861,0.00013801474,0.0067783585,6.05779e-8,0.3870049,0.00036964202,0.0115109505,0.5772788],"study_design_scores_gemma":[0.00036570037,0.00026731272,0.79772943,0.00013156958,0.00003719204,0.001945197,0.0059698285,1.6326379e-7,0.0046096006,0.00006579296,0.18847826,0.0003999404],"about_ca_topic_score_codex":0.000008411485,"about_ca_topic_score_gemma":0.00093122915,"teacher_disagreement_score":0.7812481,"about_ca_system_score_codex":0.00002380372,"about_ca_system_score_gemma":0.0000126088835,"threshold_uncertainty_score":0.43027794},"labels":[],"label_agreement":null},{"id":"W4360593972","doi":"10.37801/ajad2014.11.2.1","title":"Drought Risk in Cambodia: Assessing Costs and a Potential Solution","year":2014,"lang":"en","type":"article","venue":"Asian Journal of Agriculture and Development","topic":"Water resources management and optimization","field":"Engineering","cited_by":2,"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":"Economy and Environment Program for Southeast Asia; Flinders University; International Development Research Centre","keywords":"Hectare; Agriculture; Poverty; Business; Yield (engineering); Agricultural economics; Geography; Flood myth; Benefit–cost ratio; Natural disaster; Water resource management; Natural resource economics; Production (economics); Environmental science; Economics; Net present value; Economic growth","score_opus":0.0029880624096855633,"score_gpt":0.16407289536252,"score_spread":0.16108483295283443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360593972","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":[0.91068506,0.00057899434,0.08489988,0.00024359442,0.00020212164,0.00009029598,3.100042e-7,0.0000223699,0.0032773793],"genre_scores_gemma":[0.9899608,0.00015766144,0.009744904,0.000013249804,0.00008339498,8.3407707e-7,0.0000034981906,0.0000046334007,0.000031056],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995141,0.000024314284,0.00020295184,0.000057925863,0.00009835187,0.00010232635],"domain_scores_gemma":[0.99982625,0.0000044968224,0.00007229597,0.000021378055,0.0000252956,0.000050255177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018008295,0.00008055987,0.00011041642,0.00008313848,0.0000539247,0.000088131346,0.00003408113,0.000042240565,0.0000020293883],"category_scores_gemma":[0.0000059840204,0.000054968645,0.000012347496,0.00007144596,0.000008013484,0.00021445677,0.000016313526,0.00011384496,9.3066774e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055705463,0.00013031701,0.10730194,0.00029986937,0.00038165014,0.0001389957,0.017122176,0.061758433,0.0030856247,0.00018459935,0.009332001,0.8002087],"study_design_scores_gemma":[0.001895137,0.00008248686,0.9567359,0.00032723532,0.000068363974,0.00017863602,0.001699619,0.008157396,0.001292379,0.00012797,0.02902433,0.000410552],"about_ca_topic_score_codex":0.0000018072712,"about_ca_topic_score_gemma":0.000016341755,"teacher_disagreement_score":0.84943396,"about_ca_system_score_codex":0.000040032715,"about_ca_system_score_gemma":0.000004898435,"threshold_uncertainty_score":0.22415562},"labels":[],"label_agreement":null},{"id":"W4400132034","doi":"10.37801/ajad2024.21.1.b1","title":"Book Review | Becoming a Young Farmer–Young People’s Pathways into Farming: Canada, China, India and Indonesia","year":2024,"lang":"en","type":"article","venue":"Asian Journal of Agriculture and Development","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; China; Economic growth; Work (physics); Socioeconomic status; Phenomenon; Development economics; Political science; Geography; Economics; Sociology; Engineering; Population","score_opus":0.005523424871818017,"score_gpt":0.19176029518128357,"score_spread":0.18623687030946556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400132034","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":[0.8086445,0.17205441,0.000008589267,0.017980661,0.00040008454,0.00036436648,0.000005114898,0.00002766265,0.0005146541],"genre_scores_gemma":[0.98944724,0.007905432,0.00031720474,0.0013711262,0.00018901817,0.000013122073,0.0000289205,0.0000023274004,0.00072560855],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99830127,0.00007043078,0.0006250638,0.00028296074,0.0004008972,0.00031939222],"domain_scores_gemma":[0.9993195,0.000048235535,0.00018585312,0.00003288329,0.00014390131,0.00026965266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047596297,0.00027013847,0.00042468795,0.000030021485,0.00033802618,0.00017541245,0.00017981461,0.000092923874,0.00011006182],"category_scores_gemma":[0.00003440052,0.00009600391,0.00007026158,0.00035536053,0.000032487398,0.0003268281,0.000100830424,0.0003161084,0.0000022414274],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004016434,0.00009132785,0.16018957,0.0015500982,0.0003092915,0.00060759764,0.014699338,3.215961e-7,0.0043335655,0.00017115926,0.4277492,0.39025837],"study_design_scores_gemma":[0.00009274134,0.000062762214,0.7575685,0.000755006,0.00002970894,0.0005782254,0.0021588488,5.2790324e-7,0.0001952843,0.0000553743,0.2382537,0.0002493424],"about_ca_topic_score_codex":0.0035043694,"about_ca_topic_score_gemma":0.057543013,"teacher_disagreement_score":0.5973789,"about_ca_system_score_codex":0.00019650527,"about_ca_system_score_gemma":0.00034091805,"threshold_uncertainty_score":0.9596544},"labels":[],"label_agreement":null}]}