{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":7,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":7,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"b44edfe54dab","filters":{"venue":"Asian Journal of Agriculture and Development"}},"results":[{"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Mark W. Rosegrant","is_ca":false},{"name":"Mandy Ewing","is_ca":false},{"name":"Rowena Valmonte-Santos","is_ca":false},{"name":"Tingiu Zhu","is_ca":false},{"name":"Gary Yohe","is_ca":false},{"name":"Ian Burton","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02680977239740786,"gpt":0.2207158638512128,"spread":0.1939060914538049,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003580416,0.0003584337,0.0004214323,0.00003527712,0.0003629991,0.0002317226,0.0002553645,0.0003078175,0.0001418726],"category_scores_gemma":[0.00004650879,0.0001055151,0.00009184721,0.0003345517,0.00007117006,0.0004739607,0.0001330638,0.0006266657,0.00001438216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002380372,"about_ca_system_score_gemma":0.00001260888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008411485,"about_ca_topic_score_gemma":0.0009312292,"domain_scores_codex":[0.9982489,0.00004680553,0.0005195332,0.0002996366,0.0003956341,0.0004894665],"domain_scores_gemma":[0.9986393,0.00004378234,0.0004366199,0.00005001264,0.0002819446,0.0005482965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0000628499,0.0002317245,0.01648136,0.00005513588,0.00008816861,0.0001380147,0.006778358,6.05779e-8,0.3870049,0.000369642,0.01151095,0.5772788],"study_design_scores_gemma":[0.0003657004,0.0002673127,0.7977294,0.0001315696,0.00003719204,0.001945197,0.005969828,1.632638e-7,0.004609601,0.00006579296,0.1884783,0.0003999404],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831151,0.0009424535,9.793316e-7,0.01292051,0.000451375,0.0003126955,0.00003327763,0.00004309052,0.002180537],"genre_scores_gemma":[0.9949905,0.0008250012,0.001714828,0.0007139059,0.001566743,0.00001392843,0.0000581251,0.00000282232,0.0001141521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7812481,"threshold_uncertainty_score":0.4302779,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Julian Gonsalves","is_ca":false},{"name":"Ohnmar Khaing","is_ca":false},{"name":"Wilson John Barbon","is_ca":false},{"name":"Phyu Sin Thant","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1316787813412256,"gpt":0.2715153456473913,"spread":0.1398365643061658,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001255509,0.0001133885,0.0001857614,0.0001034048,0.0009180793,0.0001019476,0.00009473312,0.00004303618,0.00001173589],"category_scores_gemma":[0.0001074623,0.0000815214,0.00003557076,0.0002650485,0.00002369585,0.0004421189,0.00005355354,0.0001846956,3.98099e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002158758,"about_ca_system_score_gemma":0.0001214204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002385844,"about_ca_topic_score_gemma":0.000793622,"domain_scores_codex":[0.9987248,0.0001003086,0.0004096428,0.0001533942,0.0003519046,0.0002599594],"domain_scores_gemma":[0.9993443,0.00006702258,0.0002906439,0.00002767994,0.0001556373,0.0001147413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006404075,0.0001084153,0.01347115,0.000114808,0.00004410316,0.00002598473,0.9087789,0.00005349799,0.003335748,0.003168323,0.001010377,0.06982466],"study_design_scores_gemma":[0.0009920881,0.000161433,0.1379121,0.0002987694,0.00002951689,0.00009884482,0.7687147,0.00001238678,0.001502295,0.0005711719,0.0893437,0.000363033],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953806,0.0006247097,0.0001795234,0.002536399,0.0004226814,0.0003860882,0.000007191511,0.00001594957,0.0004467937],"genre_scores_gemma":[0.9921839,0.0005104599,0.006803776,0.00007746343,0.0002531307,0.00007625957,0.00002117844,0.00000784768,0.00006601917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1400642,"threshold_uncertainty_score":0.7061216,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Nabin Babu Khanal","is_ca":false},{"name":"Uttam Deb","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01259691281002119,"gpt":0.1932769945546057,"spread":0.1806800817445845,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001935376,0.0001881485,0.0003110894,0.0001161115,0.0003677836,0.0001680185,0.0001134387,0.00003145429,0.00007096573],"category_scores_gemma":[0.000005651705,0.0001370972,0.00002535461,0.0002954326,0.00005694745,0.0005471007,0.0001424685,0.0002324772,7.642508e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002744088,"about_ca_system_score_gemma":0.00002996398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004154567,"about_ca_topic_score_gemma":0.00001147441,"domain_scores_codex":[0.9990213,0.00002896181,0.000290707,0.0002088274,0.0002679543,0.0001822762],"domain_scores_gemma":[0.99956,0.00001596817,0.0002773993,0.00004208814,0.00006697758,0.00003757603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001139164,0.00231089,0.5319886,0.001366129,0.001595527,0.001436404,0.01851505,0.00003489508,0.007531257,0.02175538,0.2712747,0.141052],"study_design_scores_gemma":[0.0006166378,0.00004322765,0.4099578,0.00004399136,0.00002902898,0.000204168,0.006853007,5.750828e-7,0.000203976,0.00004425275,0.5818336,0.0001697184],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648359,0.00337345,0.00002614325,0.01517903,0.00041539,0.0002477382,0.00003103833,0.00002974626,0.01586152],"genre_scores_gemma":[0.9976666,0.00008568155,0.0002556163,0.001493458,0.0002162802,0.000008854681,0.00005374022,0.000006179792,0.0002135674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3105589,"threshold_uncertainty_score":0.5590664,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Mamta Mehar","is_ca":false},{"name":"Surendaran Padmaja Subash","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0183709115374246,"gpt":0.2119561157591578,"spread":0.1935852042217332,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002342512,0.0001903983,0.0003502007,0.00004737336,0.0001659384,0.00005484998,0.0002027736,0.00006508712,0.0001145111],"category_scores_gemma":[0.00001011251,0.00006226097,0.00004748603,0.0004492761,0.0000333932,0.0001958235,0.00009818543,0.0003289679,0.000001545759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008328227,"about_ca_system_score_gemma":0.00003178538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002138045,"about_ca_topic_score_gemma":0.0003438561,"domain_scores_codex":[0.9984414,0.0001006359,0.0005275951,0.0001627085,0.0005156922,0.0002519973],"domain_scores_gemma":[0.9990787,0.0000512609,0.0005669687,0.00003013201,0.0001534747,0.0001194907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008135771,0.002142059,0.7993,0.0006186685,0.0004344838,0.0005064692,0.0595175,0.0006685734,0.08395434,0.0001348865,0.003218511,0.04869094],"study_design_scores_gemma":[0.0006482,0.0008024902,0.9131367,0.0003092881,0.00003139761,0.0003565831,0.07864745,0.000001852789,0.002480429,0.00002158431,0.003288589,0.0002754435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972916,0.0006390634,0.000008411197,0.001465376,0.00008359693,0.0001894021,0.00004291613,0.00000680416,0.0002728141],"genre_scores_gemma":[0.9991266,0.00009890857,0.0004185681,0.0001440391,0.00008382642,0.00001138672,0.00007131226,0.000001381891,0.00004402329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1138367,"threshold_uncertainty_score":0.2538929,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Nyda Chhinh","is_ca":false},{"name":"Cheb Hoeurn","is_ca":false},{"name":"Naret Heng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.002988062409685563,"gpt":0.16407289536252,"spread":0.1610848329528344,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001800829,0.00008055987,0.0001104164,0.00008313848,0.0000539247,0.00008813135,0.00003408113,0.00004224056,0.000002029388],"category_scores_gemma":[0.00000598402,0.00005496864,0.0000123475,0.00007144596,0.000008013484,0.0002144568,0.00001631353,0.000113845,9.306677e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004003272,"about_ca_system_score_gemma":0.000004898435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001807271,"about_ca_topic_score_gemma":0.00001634176,"domain_scores_codex":[0.9995141,0.00002431428,0.0002029518,0.00005792586,0.00009835187,0.0001023263],"domain_scores_gemma":[0.9998263,0.000004496822,0.00007229597,0.00002137805,0.0000252956,0.00005025518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005570546,0.000130317,0.1073019,0.0002998694,0.0003816501,0.0001389957,0.01712218,0.06175843,0.003085625,0.0001845994,0.009332001,0.8002087],"study_design_scores_gemma":[0.001895137,0.00008248686,0.9567359,0.0003272353,0.00006836397,0.000178636,0.001699619,0.008157396,0.001292379,0.00012797,0.02902433,0.000410552],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9106851,0.0005789943,0.08489988,0.0002435944,0.0002021216,0.00009029598,3.100042e-7,0.0000223699,0.003277379],"genre_scores_gemma":[0.9899608,0.0001576614,0.009744904,0.0000132498,0.00008339498,8.340771e-7,0.000003498191,0.000004633401,0.000031056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.849434,"threshold_uncertainty_score":0.2241556,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Gopal Datt Bhatta","is_ca":true},{"name":"Werner Doppler","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0136051635258094,"gpt":0.1875427421813365,"spread":0.1739375786555271,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005503583,0.0001097611,0.0002310649,0.00001549665,0.00006856945,0.00001366223,0.0002243189,0.00007166473,0.00001819427],"category_scores_gemma":[0.00003697115,0.00003047436,0.00006374739,0.0002423209,0.00006783091,0.0000806287,0.00003702654,0.0001211788,4.172329e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002341618,"about_ca_system_score_gemma":0.00002989472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001661547,"about_ca_topic_score_gemma":0.000414278,"domain_scores_codex":[0.9988245,0.00009664936,0.0005516198,0.00009731947,0.0002802668,0.0001495796],"domain_scores_gemma":[0.9993547,0.00004436141,0.0003239572,0.00002694162,0.0001974241,0.00005260568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004216998,0.0006790714,0.4780834,0.00007580405,0.0001069242,0.00005508282,0.04238214,0.000001035154,0.03236828,0.0003537881,0.001930752,0.443542],"study_design_scores_gemma":[0.0001743725,0.0002134346,0.9709625,0.0000453277,0.000007754292,0.00002334392,0.01188127,9.288922e-8,0.006239331,0.0002881108,0.01008403,0.00008040742],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998204,0.0002563176,0.00001013056,0.0005853566,0.00005512565,0.0001169641,0.000005920069,0.00000227453,0.0007638921],"genre_scores_gemma":[0.9995113,0.00005057966,0.0003098414,0.00003744784,0.00004912062,0.000001859347,0.0000167405,3.258745e-7,0.00002280584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4928791,"threshold_uncertainty_score":0.1242708,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Dominicus Savio Priyarsono","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005523424871818017,"gpt":0.1917602951812836,"spread":0.1862368703094656,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000475963,0.0002701385,0.000424688,0.00003002149,0.0003380262,0.0001754125,0.0001798146,0.00009292387,0.0001100618],"category_scores_gemma":[0.00003440052,0.00009600391,0.00007026158,0.0003553605,0.0000324874,0.0003268281,0.0001008304,0.0003161084,0.000002241427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001965053,"about_ca_system_score_gemma":0.000340918,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003504369,"about_ca_topic_score_gemma":0.05754301,"domain_scores_codex":[0.9983013,0.00007043078,0.0006250638,0.0002829607,0.0004008972,0.0003193922],"domain_scores_gemma":[0.9993195,0.00004823554,0.0001858531,0.00003288329,0.0001439013,0.0002696527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004016434,0.00009132785,0.1601896,0.001550098,0.0003092915,0.0006075976,0.01469934,3.215961e-7,0.004333565,0.0001711593,0.4277492,0.3902584],"study_design_scores_gemma":[0.00009274134,0.00006276221,0.7575685,0.000755006,0.00002970894,0.0005782254,0.002158849,5.279032e-7,0.0001952843,0.0000553743,0.2382537,0.0002493424],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8086445,0.1720544,0.000008589267,0.01798066,0.0004000845,0.0003643665,0.000005114898,0.00002766265,0.0005146541],"genre_scores_gemma":[0.9894472,0.007905432,0.0003172047,0.001371126,0.0001890182,0.00001312207,0.0000289205,0.0000023274,0.0007256086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5973789,"threshold_uncertainty_score":0.9596544,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}