{"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99750817,0.00011742671,0.0001290075,0.000038156657,6.0660966e-7,0.000010528868,0.00034861435,0.0000049871637,0.0018424164],"genre_scores_gemma":[0.99906486,0.0000866598,0.0002460139,0.0000073241304,6.455757e-7,0.000017726348,0.00019313314,8.646876e-7,0.0003829377],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998524,0.000038800972,0.000013578738,0.000035472778,0.000021417225,0.000038197886],"domain_scores_gemma":[0.999613,0.00013057492,0.00012608962,0.000022015569,0.000062399966,0.000045987515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014473536,0.000079224126,0.00013045818,0.0011010277,0.0004170189,0.0005660129,0.0002837551,0.00013895759,0.001913765],"category_scores_gemma":[0.0007249466,0.0001317228,0.0001144908,0.0012334408,0.0004195421,0.00038706927,0.00073530443,0.00009589425,0.00025978216],"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":[0.00007546674,0.000034655506,0.9693886,0.00012382418,0.000050022383,0.0012471498,0.0069826297,0.0003474953,0.0022306857,0.0007666837,0.00040486924,0.018347945],"study_design_scores_gemma":[0.0000016602908,0.000031007512,0.99278754,0.000029317534,0.000010032852,0.0006958208,0.0048226444,0.0003886875,0.00012459685,0.0001368238,0.0009632855,0.0000085795555],"about_ca_topic_score_codex":0.023538807,"about_ca_topic_score_gemma":0.051041856,"teacher_disagreement_score":0.023538807,"about_ca_system_score_codex":0.00033138823,"about_ca_system_score_gemma":0.00043414126,"threshold_uncertainty_score":0.046803594},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86587006,0.0036374577,0.0067558764,0.051925298,0.00016636017,0.00062127126,0.00023538242,0.00005087032,0.07073747],"genre_scores_gemma":[0.9897878,0.0017328078,0.0034078981,0.0017153278,0.000008270839,0.00029440294,0.000051930525,0.000014420723,0.002987126],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99564797,0.003053611,0.00008296685,0.00025523122,0.00017600467,0.00078416825],"domain_scores_gemma":[0.99731714,0.0014645567,0.00045372683,0.00013146404,0.00024900498,0.00038421052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005281161,0.00032462025,0.00022076121,0.0008460939,0.0072583235,0.003851331,0.00074682996,0.0011422249,0.0055517014],"category_scores_gemma":[0.0050031864,0.00036834166,0.0003925994,0.00097438676,0.0044029527,0.0047469568,0.0075892303,0.0026166418,0.00029383163],"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":[0.0000837168,0.00028274232,0.043262765,0.0017029914,0.000057489226,0.0031849125,0.74129176,0.0007872833,0.004505815,0.1175371,0.0053085755,0.08199484],"study_design_scores_gemma":[0.000017442182,0.00017179064,0.027789414,0.00093522493,0.000047426336,0.0004989907,0.8353866,0.0005628336,0.0009973197,0.019062733,0.11448627,0.000043981654],"about_ca_topic_score_codex":0.013164452,"about_ca_topic_score_gemma":0.030167883,"teacher_disagreement_score":0.013164452,"about_ca_system_score_codex":0.0053564883,"about_ca_system_score_gemma":0.008643933,"threshold_uncertainty_score":0.038864255},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996803,0.000012471564,0.000029068553,0.00003702176,7.7088777e-7,0.0000031967345,0.000011719114,0.0000010227965,0.00022450177],"genre_scores_gemma":[0.99965215,0.000042639207,0.000060046623,0.000021751739,8.2929074e-7,0.0000031673428,0.000017574788,5.854236e-7,0.00020122145],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999585,0.00011683633,0.000015573778,0.00004945166,0.000035011508,0.00019805203],"domain_scores_gemma":[0.9991405,0.0003096103,0.00027264812,0.000053062016,0.000074034855,0.00015011695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043290725,0.00024332377,0.00016451628,0.00034400224,0.0006657512,0.00085454463,0.00040856,0.0003831767,0.0012210744],"category_scores_gemma":[0.00097182655,0.00018813777,0.0004429648,0.00062720245,0.00044857978,0.00034513604,0.0006008613,0.00054725393,0.00014630595],"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":[0.00013394193,0.00029702458,0.9756005,0.000036689198,0.000050313603,0.001638254,0.011890608,0.0005523674,0.0016544826,0.00022851354,0.00022082572,0.0076965173],"study_design_scores_gemma":[0.000004932268,0.00021966518,0.96653026,0.00001889987,0.000039936796,0.00029029034,0.030930731,0.0010082339,0.00019715859,0.00009886592,0.0006429547,0.000018066175],"about_ca_topic_score_codex":0.05476088,"about_ca_topic_score_gemma":0.10466344,"teacher_disagreement_score":0.05476088,"about_ca_system_score_codex":0.00081637624,"about_ca_system_score_gemma":0.0010498591,"threshold_uncertainty_score":0.108884275},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9798885,0.0009406622,0.00021467223,0.00024625554,0.000008964436,0.00000764103,0.0056344303,0.000036253692,0.013022485],"genre_scores_gemma":[0.9936605,0.00069863576,0.00026530478,0.00003853958,0.000017922808,0.000004782742,0.0039077154,0.000008743081,0.0013978654],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997135,0.000022056349,0.000028707678,0.000058310976,0.000089247835,0.000088147855],"domain_scores_gemma":[0.99840075,0.00023568231,0.0008188847,0.000073914736,0.00031146672,0.00015936921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026296164,0.0001969586,0.00015032856,0.004550762,0.00024744912,0.0012697846,0.00031859524,0.00015418611,0.0024261372],"category_scores_gemma":[0.0009563222,0.00009734405,0.00038917383,0.0077206558,0.0003634206,0.0008663388,0.00063118536,0.00028443875,0.0005156907],"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":[0.000036225363,0.000017550385,0.982702,0.0000780784,0.000070653216,0.00019416327,0.00057654944,0.00049615244,0.00044575369,0.0017988045,0.0013285555,0.012255516],"study_design_scores_gemma":[0.0000011912532,0.000021695845,0.99396086,0.000018061533,0.000026507347,0.0002339264,0.00084188377,0.00046309215,0.0002184553,0.00012633785,0.0040796283,0.000008448432],"about_ca_topic_score_codex":0.023348877,"about_ca_topic_score_gemma":0.024936236,"teacher_disagreement_score":0.023348877,"about_ca_system_score_codex":0.00067291246,"about_ca_system_score_gemma":0.0006671218,"threshold_uncertainty_score":0.04642594},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4175889,0.07167591,0.0015857508,0.040083453,0.0012155266,0.000042905216,0.002450008,0.000083890256,0.46527368],"genre_scores_gemma":[0.9373156,0.04089538,0.00037253727,0.0026672555,0.0004061255,0.000017620185,0.0004594857,0.000016158509,0.017849801],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998609,0.000036138656,0.000009916753,0.000022196919,0.000022552857,0.000048350383],"domain_scores_gemma":[0.99970716,0.00003342065,0.00011017194,0.00001760985,0.00006664077,0.00006500901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003491499,0.000250552,0.00016127493,0.0005445469,0.0007136212,0.0019151843,0.00025592785,0.00035484682,0.007909169],"category_scores_gemma":[0.00040036903,0.00006488904,0.00023700895,0.0021955892,0.00068096764,0.00092258706,0.0011878846,0.00064796524,0.0006515166],"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":[0.00041766942,0.00022423759,0.39208996,0.001768886,0.00037228846,0.00493326,0.014630483,0.004706187,0.003540054,0.25178072,0.051066454,0.27446985],"study_design_scores_gemma":[0.000028374143,0.00012541904,0.41944876,0.00068875105,0.00014240615,0.0017325986,0.01574303,0.0018465169,0.00091617095,0.057705525,0.5015674,0.00005500235],"about_ca_topic_score_codex":0.013872751,"about_ca_topic_score_gemma":0.016033156,"teacher_disagreement_score":0.013872751,"about_ca_system_score_codex":0.001072273,"about_ca_system_score_gemma":0.000959427,"threshold_uncertainty_score":0.027584016},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97870606,0.004124205,0.0024252178,0.0041989214,0.000045011082,0.0003431756,0.0019823029,0.0000179382,0.008157147],"genre_scores_gemma":[0.99520904,0.0020101145,0.0016360219,0.000070188566,0.000019242472,0.00006934299,0.00036412376,0.0000019492843,0.00061994913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999532,0.00021105491,0.000034997534,0.00003405877,0.00008578965,0.00010209579],"domain_scores_gemma":[0.9989374,0.00039190173,0.0002753644,0.000019986328,0.00022338855,0.00015194686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009036849,0.0009408582,0.000447649,0.0027286562,0.0004956101,0.0016214488,0.0006889665,0.001001834,0.0023554203],"category_scores_gemma":[0.002585541,0.00038135317,0.0006222842,0.0023264803,0.00038663964,0.0015083511,0.001275277,0.0006049809,0.00009156915],"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":[0.00052578247,0.00036135566,0.7947507,0.0012020459,0.00072933646,0.0034694164,0.0014271559,0.08823138,0.0017382007,0.011368143,0.004239737,0.09195669],"study_design_scores_gemma":[0.000039168837,0.0007992421,0.81185126,0.0008837999,0.00036313196,0.0012508504,0.018745193,0.15294673,0.0007882329,0.00615632,0.00607194,0.000104254475],"about_ca_topic_score_codex":0.0436882,"about_ca_topic_score_gemma":0.061275978,"teacher_disagreement_score":0.0436882,"about_ca_system_score_codex":0.0045636003,"about_ca_system_score_gemma":0.001586443,"threshold_uncertainty_score":0.08686781},"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":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003802363,0.94487876,0.0000652667,0.022471778,0.01721068,0.000040125335,0.00060188666,0.000022149447,0.014329257],"genre_scores_gemma":[0.0025090314,0.9395497,0.00013053139,0.01037788,0.007851623,0.000054514185,0.0006285058,0.000026805365,0.038871363],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995894,0.000045178243,0.000029812678,0.000041653184,0.00025070566,0.000043349773],"domain_scores_gemma":[0.9984816,0.000465877,0.00016529822,0.000017334663,0.00063318765,0.00023661938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005140077,0.00046312818,0.0010744066,0.0018645303,0.0007269096,0.0024679408,0.00090389064,0.0011739401,0.026240561],"category_scores_gemma":[0.0030353076,0.00024971276,0.00036338097,0.0063829655,0.0005794849,0.0013046657,0.00081803487,0.0020117748,0.005728497],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016192213,0.000013033214,0.0001937643,0.0028762107,0.00001632371,0.00003827118,0.00009873011,0.000036983067,0.000036228827,0.00069314294,0.9135103,0.08247086],"study_design_scores_gemma":[0.000007216287,0.00001534147,0.0021895857,0.0036776946,0.000024150486,0.00016206813,0.00018843006,0.000013637427,0.000019775314,0.0001711694,0.99352235,0.000008641419],"about_ca_topic_score_codex":0.084477894,"about_ca_topic_score_gemma":0.1629124,"teacher_disagreement_score":0.9155221,"about_ca_system_score_codex":0.0033049753,"about_ca_system_score_gemma":0.007445063,"threshold_uncertainty_score":0.16797239},"labels":[],"label_agreement":null}]}