{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"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":"77a443eba5da","filters":{"venue":"International Journal of Plant Production"}},"results":[{"id":"W3074361764","doi":"10.1007/s42106-020-00110-8","title":"Predicting Kernel Growth of Maize under Controlled Water and Nitrogen Applications","year":2020,"lang":"en","type":"article","venue":"International Journal of Plant Production","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Kernel (algebra); Water content; Mathematics; Moisture; Irrigation; Arid; Agronomy; Statistics; Biology; Geography; Ecology; Engineering","authors":[{"name":"Hafiz Mohkum Hammad","is_ca":false},{"name":"Farhat Abbas","is_ca":true},{"name":"Ashfaq Ahmad","is_ca":false},{"name":"Hafiz Faiq Bakhat","is_ca":false},{"name":"Wajid Farhad","is_ca":false},{"name":"Carol Jo Wilkerson","is_ca":false},{"name":"Shah Fahad","is_ca":false},{"name":"Gerrit Hoogenboom","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01949846479799668,"gpt":0.2172355115144348,"spread":0.1977370467164381,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001993015,0.00004761226,0.0001226539,0.00001118279,0.00003534885,0.0000223869,0.0001165381,0.00002596055,0.00004660455],"category_scores_gemma":[0.00008764731,0.00001681102,0.00005754941,0.00003405957,0.00002641897,0.0001195061,0.00002631688,0.00007778042,0.000001271202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000100757,"about_ca_system_score_gemma":0.000005134425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002886942,"about_ca_topic_score_gemma":0.00001330603,"domain_scores_codex":[0.9993442,0.00002762794,0.0002777398,0.00009236552,0.0002025289,0.00005556289],"domain_scores_gemma":[0.9994561,0.00004989356,0.0001595299,0.00001272695,0.0002782158,0.00004355545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001281007,0.0001063356,0.06820669,0.00001101475,0.0001598902,0.000003820642,0.0003423046,0.00003702809,0.923997,0.0003667868,0.0002296347,0.005258523],"study_design_scores_gemma":[0.004843924,0.001104093,0.3887896,0.0001435767,0.0002620319,0.0009189505,0.002622144,0.001261943,0.5638195,0.02446331,0.01129479,0.0004761687],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880311,0.0000782473,0.00006964654,0.01143215,0.0001877054,0.0001041806,0.00003104964,0.000007266637,0.00005860637],"genre_scores_gemma":[0.9987988,0.00005169447,0.00003963281,0.0001158589,0.0009515895,0.000002739732,0.00002440622,3.903049e-7,0.00001483823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3601775,"threshold_uncertainty_score":0.06855334,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4310792402","doi":"10.1007/s42106-022-00226-z","title":"Evaluating Climate Change Impacts on Cotton Phenology and Yield Under Full and Deficit Irrigation Conditions in an Extremely Arid Oasis","year":2022,"lang":"en","type":"article","venue":"International Journal of Plant Production","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Phenology; Irrigation; Climate change; Representative Concentration Pathways; Environmental science; Yield (engineering); Anthesis; Agronomy; Arid; Deficit irrigation; Semi-arid climate; Baseline (sea); Climate model; Biology; Irrigation management; Ecology","authors":[{"name":"Zeeshan Ahmed","is_ca":false},{"name":"Dongwei GUI","is_ca":false},{"name":"Sikandar Ali","is_ca":false},{"name":"Xiaoping Chen","is_ca":false},{"name":"Zhiming Qi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1630149742910058,"gpt":0.3381281210232086,"spread":0.1751131467322028,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005933567,0.00009830379,0.0001254399,0.00009415291,0.0001651067,0.00007071446,0.0001164681,0.00004411537,0.0001758827],"category_scores_gemma":[0.0001519198,0.00004770562,0.00002584255,0.0001325366,0.00002729054,0.0004454364,0.00005917734,0.0002404971,0.00000120093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001323128,"about_ca_system_score_gemma":0.000006986189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001043268,"about_ca_topic_score_gemma":0.00113901,"domain_scores_codex":[0.9988875,0.0001263217,0.0002767737,0.0001898629,0.0003731018,0.0001464322],"domain_scores_gemma":[0.9992846,0.0001219592,0.0003454884,0.00002568708,0.000157882,0.00006439122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007449039,0.0003350329,0.01250492,0.000008700064,0.0000340754,0.00003565055,0.00120422,0.0005545212,0.9474546,0.0006378083,0.0002176671,0.03626789],"study_design_scores_gemma":[0.0006336094,0.00313856,0.9792753,0.0001950241,0.00004105588,0.003006019,0.00679384,0.000641562,0.00324785,0.002398323,0.0003750866,0.0002537732],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988173,0.0001676603,6.218278e-7,0.01048493,0.0006731309,0.0001677248,0.0002953402,0.00001179128,0.00002577756],"genre_scores_gemma":[0.9984338,0.0002904467,0.00003194491,0.000318376,0.0006499211,0.0000135828,0.0002551308,0.000001270654,0.000005470123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9667704,"threshold_uncertainty_score":0.1945379,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409435200","doi":"10.1007/s42106-025-00339-1","title":"Handheld Sensor-Based NDVI Measurement as an Alternative to Destructive Sampling for Growth and Yield Assessment in Maize","year":2025,"lang":"en","type":"article","venue":"International Journal of Plant Production","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Mobile device; Yield (engineering); Sampling (signal processing); Environmental science; Normalized Difference Vegetation Index; Agricultural engineering; Statistics; Agronomy; Remote sensing; Mathematics; Soil science; Computer science; Geography; Biology; Engineering; Materials science; Telecommunications; Leaf area index","authors":[{"name":"Hafiz Mohkum Hammad","is_ca":false},{"name":"Ashfaq Ahmad","is_ca":false},{"name":"Farhat Abbas","is_ca":false},{"name":"Aitazaz A. Farooque","is_ca":true},{"name":"Carol Willkerson","is_ca":false},{"name":"Saeed Ahmad","is_ca":false},{"name":"Gerrit Hoogenboom","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06675565100125289,"gpt":0.3165247393774119,"spread":0.249769088376159,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006002921,0.00007365656,0.0001149241,0.00006448626,0.00005691057,0.00006791118,0.0001352621,0.00003294258,0.00001278517],"category_scores_gemma":[0.000525374,0.00003518639,0.00004093441,0.0000803038,0.0000163858,0.0001645776,0.00001967735,0.0001138857,2.224129e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001010986,"about_ca_system_score_gemma":0.0000404213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004220632,"about_ca_topic_score_gemma":0.0006292759,"domain_scores_codex":[0.9991196,0.00004191574,0.0002591187,0.000181799,0.0003077913,0.00008978579],"domain_scores_gemma":[0.9991978,0.0001294948,0.0001126709,0.00002254973,0.0004917883,0.00004563207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002900044,0.0004523988,0.07466293,0.00002308583,0.0001435668,0.00001656516,0.0004064866,0.0007229729,0.8597467,0.002335638,0.0002375869,0.05835206],"study_design_scores_gemma":[0.0008196242,0.001044362,0.8295894,0.0005193238,0.00003395962,0.00007633796,0.001831597,0.000431334,0.1487722,0.01505324,0.001606628,0.0002220524],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894869,0.00002121969,0.001098344,0.00808537,0.0009851952,0.0001994512,0.00003544582,0.000005591388,0.00008252717],"genre_scores_gemma":[0.9982664,0.00001486629,0.001030949,0.0002487006,0.0004055282,0.000008315922,0.00001051496,4.876542e-7,0.00001421466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7549264,"threshold_uncertainty_score":0.1434859,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}