{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":628,"total_is_capped":false,"direct_labels_cover":1,"predictions_cover":628,"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"},"query_hash":"39fc426c2862","filters":{"topic":"Rice Cultivation and Yield Improvement"}},"results":[{"id":"W2080615452","doi":"10.2135/cropsci2006.07.0495","title":"A Large‐Effect QTL for Grain Yield under Reproductive‐Stage Drought Stress in Upland Rice","year":2007,"lang":"en","type":"article","venue":"Crop Science","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":487,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quantitative trait locus; Biology; Oryza sativa; Epistasis; Agronomy; Population; Genetics; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.03191498134287395,"gpt":0.2859594950055562,"spread":0.2540445136626823,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002065443,0.0001061179,0.0001136107,0.00003351151,0.0003301864,0.0001030435,0.0003285211,0.00004728117,0.00008585885],"category_scores_gemma":[0.0005110067,0.00004142641,0.00004213865,0.0009587998,0.0001546731,0.0002659708,0.00007405701,0.00009071518,0.000008610818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005467606,"about_ca_system_score_gemma":0.00001692583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001883492,"about_ca_topic_score_gemma":0.001068518,"domain_scores_codex":[0.9985561,0.00001952113,0.0001905194,0.0005070057,0.000259078,0.0004677266],"domain_scores_gemma":[0.9993753,0.0002775754,0.00007607959,0.00009373456,0.00008763253,0.00008970926],"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":[0.00004458364,0.0001188665,0.0119549,0.00001166615,0.000001755826,0.000002670949,0.0003071001,0.000009284428,0.9782814,0.001444345,0.0003329748,0.007490404],"study_design_scores_gemma":[0.0004571283,0.0005116848,0.6147157,0.00004044107,0.000003856457,0.000002360302,0.002320278,0.0001680717,0.3651022,0.000428863,0.01595934,0.0002900272],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956418,0.00004348034,0.0006114939,0.001226677,0.0002577794,0.0004702123,0.00002327713,0.00003266674,0.001692584],"genre_scores_gemma":[0.9968629,0.000004229744,0.0001100715,0.0005008843,0.0001457197,0.00002114179,0.000008803531,6.561178e-7,0.002345571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6131792,"threshold_uncertainty_score":0.2539561,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2802223792","doi":"10.3390/ijerph15050839","title":"Effect of Drought on Agronomic Traits of Rice and Wheat: A Meta-Analysis","year":2018,"lang":"en","type":"review","venue":"International Journal of Environmental Research and Public Health","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":433,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"National Science Foundation","keywords":"Agronomy; Biology; Crop; Biomass (ecology); Drought stress; Food security; Drought tolerance; Yield (engineering); Agriculture","retraction":null,"screen_n_in":null,"score":{"opus":0.212783636559689,"gpt":0.4247613099129532,"spread":0.2119776733532642,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003107295,0.0001478481,0.001118962,0.0002152056,0.00006349524,0.00005002045,0.0003469751,0.00007940877,0.0004637628],"category_scores_gemma":[0.0001377591,0.00005219338,0.0005540036,0.0002358218,0.0001907809,0.0001167889,0.0001092469,0.0002726102,0.000003023788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000161437,"about_ca_system_score_gemma":0.00006941499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001103997,"about_ca_topic_score_gemma":0.00001819025,"domain_scores_codex":[0.9973277,0.0006927744,0.0007621658,0.0001993227,0.0008133631,0.000204712],"domain_scores_gemma":[0.9978373,0.001041069,0.0007634393,0.00004403851,0.00007525986,0.0002388957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004466585,0.0002555519,0.00004315199,0.0003964108,0.01057416,0.000001820168,0.00005140285,8.766294e-8,0.0002373276,0.00005436387,0.0001730189,0.9881681],"study_design_scores_gemma":[0.0007945852,0.01923509,0.01349157,0.0006950392,0.00685535,0.00007096622,0.0003762121,0.00001071695,0.000192365,0.00009867449,0.9578471,0.0003323216],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.08280617,0.9143405,0.000004039821,0.001821428,0.00006134263,0.0004053568,0.0003813846,0.000001507892,0.0001783014],"genre_scores_gemma":[0.1314994,0.8680977,0.00001910144,0.00006839968,0.0001293278,0.000008248166,0.00004628023,0.000001361448,0.0001301696],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9878357,"threshold_uncertainty_score":0.5077877,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2126849187","doi":"10.1002/jsfa.3153","title":"Breeding upland rice for drought resistance","year":2008,"lang":"en","type":"article","venue":"Journal of the Science of Food and Agriculture","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":339,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Upland rice; Heritability; Selection (genetic algorithm); Agronomy; Quantitative trait locus; Abiotic component; Biology; Resistance (ecology); Marker-assisted selection; Abiotic stress; Drought tolerance; Productivity; Trait; Drought stress; Yield (engineering); Agriculture; Biotechnology; Oryza sativa; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.02348040026478501,"gpt":0.2111058833464029,"spread":0.1876254830816179,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002884269,0.00006261049,0.0001144462,0.000009777174,0.0004141529,0.00002931379,0.0003305818,0.00003020512,0.000004585862],"category_scores_gemma":[0.0001225191,0.00001499884,0.00008602702,0.0004313927,0.0001589849,0.0002349631,0.00003871951,0.00007720747,1.129201e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001250793,"about_ca_system_score_gemma":0.00001719501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002583337,"about_ca_topic_score_gemma":0.00001511916,"domain_scores_codex":[0.9992649,0.00001059208,0.0002062975,0.00009263652,0.000300909,0.0001246572],"domain_scores_gemma":[0.9992438,0.00006349847,0.0003185837,0.00002570406,0.0002892505,0.00005915502],"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":[0.00001407498,0.00002765963,0.0002300169,0.000006608874,0.000004972553,2.274345e-7,0.0001437793,0.000002565103,0.9945343,0.0003656656,0.004103293,0.0005668955],"study_design_scores_gemma":[0.0005136168,0.001029136,0.2378704,0.000154859,0.00002546122,0.0001550712,0.001517347,0.000009562639,0.743678,0.001219228,0.01365063,0.000176643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949884,0.0002778246,0.000005372084,0.003923708,0.0001986164,0.00009996237,0.000009117591,0.000002597339,0.0004944066],"genre_scores_gemma":[0.9986918,0.00007524207,0.0002422219,0.0001116721,0.0001964193,9.792303e-7,3.25602e-7,2.089071e-7,0.0006811484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2508562,"threshold_uncertainty_score":0.3185371,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1512577015","doi":"10.1016/s0065-2113(09)01007-4","title":"Chapter 7 Nutrient and Water Management Effects on Crop Production, and Nutrient and Water Use Efficiency in Dryland Areas of China","year":2009,"lang":"en","type":"book-chapter","venue":"Advances in agronomy","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":245,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Environmental science; Nutrient; Arable land; Agronomy; Irrigation; Nutrient management; Water balance; Water use; Agriculture; Water resources; Agroforestry; Soil water; Soil science; Ecology; Biology; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.00810121845531341,"gpt":0.1995492790405697,"spread":0.1914480605852563,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001479418,0.0002700229,0.0002991538,0.00007362593,0.00007486075,0.00004527895,0.00007770647,0.00009153963,0.00005205322],"category_scores_gemma":[0.000006845134,0.00009882299,0.00003198065,0.00003109808,0.0001101042,0.0002268001,0.00009972797,0.0001387199,0.000003000815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003192775,"about_ca_system_score_gemma":0.000001109805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002230975,"about_ca_topic_score_gemma":0.00007880299,"domain_scores_codex":[0.9987082,0.00001794866,0.0003297097,0.0005476321,0.0001564496,0.0002400157],"domain_scores_gemma":[0.9997023,0.00003901927,0.00008800446,0.00008297562,0.00002637158,0.00006134412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004877194,0.0005690125,0.01324168,0.0006685816,0.00006168797,0.00004982262,0.001896343,0.00005442861,0.01290012,0.05381282,0.00008965474,0.9161682],"study_design_scores_gemma":[0.003221956,0.003061104,0.2600228,0.003420993,0.00009519788,0.00002083822,0.0003259872,0.00002124891,0.130643,0.04730299,0.5499396,0.001924208],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809772,0.00162739,0.000004743261,0.000914273,0.0001290589,0.001194814,0.000004890502,0.00001443185,0.0151332],"genre_scores_gemma":[0.9797655,0.00486877,0.00006218051,0.0001559903,0.00007308012,0.00004039874,0.00003845421,0.000002945217,0.01499263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9142439,"threshold_uncertainty_score":0.4029885,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2774114587","doi":"10.3389/fchem.2017.00106","title":"Drought Response in Wheat: Key Genes and Regulatory Mechanisms Controlling Root System Architecture and Transpiration Efficiency","year":2017,"lang":"en","type":"review","venue":"Frontiers in Chemistry","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":231,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Agriculture and Agri-Food Canada; National Research Council Canada","funders":"National Research Council Canada; Agriculture and Agri-Food Canada","keywords":"Drought tolerance; Biology; MYB; Abiotic stress; Food security; Abiotic component; Agronomy; Arabidopsis; Transpiration; WRKY protein domain; Biotechnology; Gene; Transcription factor; Botany; Agriculture; Photosynthesis; Genetics; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.02595197113779247,"gpt":0.2495352969846005,"spread":0.223583325846808,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005185716,0.0002541441,0.0007036384,0.00002531348,0.0001372396,0.00009130015,0.0002008922,0.000355806,0.000007069747],"category_scores_gemma":[0.00005220687,0.0001139892,0.00008870785,0.0001057402,0.00006082457,0.00005416655,0.0000331464,0.0002506709,3.041535e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001010124,"about_ca_system_score_gemma":0.00003208044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001853769,"about_ca_topic_score_gemma":0.0000316467,"domain_scores_codex":[0.9986895,0.0001101006,0.0004068945,0.0004399495,0.0001434236,0.0002100941],"domain_scores_gemma":[0.9995125,0.00007465583,0.0002272629,0.0001014065,0.00001692523,0.00006725238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007564581,0.00002579676,0.00005618119,0.003244666,0.00001514266,0.00001048425,0.00009025608,0.000003766657,0.01325377,0.00001331811,0.00003194679,0.983179],"study_design_scores_gemma":[0.001749365,0.0002470901,0.002248866,0.02040715,0.0002311349,0.00007308817,0.001279353,0.000514059,0.004315345,0.0002710408,0.9671232,0.001540354],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02505557,0.9735667,0.0002302707,0.0001921353,0.0001756072,0.0005539032,0.00003546714,0.00002718902,0.0001631244],"genre_scores_gemma":[0.02711734,0.9707785,0.0006306509,0.00003362905,0.0002878293,0.0001880371,0.0001242378,0.00000664188,0.000833173],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9816387,"threshold_uncertainty_score":0.4648347,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6960165493","doi":"10.1371/journal.p","title":"Gene flow of a forest-dependent bird across a fragmented landscape","year":2015,"lang":"en","type":"article","venue":"Open ULeth Scholarship (OPUS) (University of Lethbridge)","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":187,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Biological dispersal; Riparian zone; Habitat fragmentation; Landscape connectivity; Habitat; Metapopulation; Population; Gene flow; Genetic structure","retraction":null,"screen_n_in":null,"score":{"opus":0.0655974066048319,"gpt":0.2635368254430966,"spread":0.1979394188382647,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000984223,0.0001564112,0.0003173416,0.00002485083,0.0002306391,0.00009167637,0.001036678,0.0001387054,0.00036718],"category_scores_gemma":[0.0001087764,0.0000896437,0.0001214979,0.000403838,0.0000955616,0.0006956129,0.0005968378,0.0002202604,0.00006907604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004575061,"about_ca_system_score_gemma":0.0000415878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003017396,"about_ca_topic_score_gemma":0.002305359,"domain_scores_codex":[0.9985299,0.000144703,0.0002280532,0.0003453509,0.0004497055,0.000302297],"domain_scores_gemma":[0.9989134,0.00008158005,0.0002835852,0.0001586162,0.0003352814,0.0002275594],"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":[0.001015768,0.0009369036,0.3885238,0.00006182482,0.000201335,0.00005706627,0.004015326,0.000165284,0.4872547,0.0004117417,0.006281966,0.1110743],"study_design_scores_gemma":[0.003486476,0.0009638485,0.9328993,0.0001145965,0.00005208845,0.00001170238,0.01473029,0.0003576714,0.02897168,0.0003400496,0.0175573,0.0005150183],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956372,0.00006861075,0.0001104766,0.002118205,0.0001159892,0.0004428216,0.0001175764,0.00004228399,0.001346826],"genre_scores_gemma":[0.9963136,0.00003305777,0.001527838,0.0003086969,0.00004283323,0.000001284831,0.00007039302,0.000002417505,0.001699854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5443755,"threshold_uncertainty_score":0.456142,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1980860870","doi":"10.1371/journal.pone.0100317","title":"Variability of Root Traits in Spring Wheat Germplasm","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":142,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"National Institute of Food and Agriculture; Kansas Wheat Commission; United States Agency for International Development; U.S. Department of Agriculture","keywords":"Germplasm; Shoot; Biology; Tiller (botany); Agronomy; Dry weight; Crop; Horticulture","retraction":null,"screen_n_in":null,"score":{"opus":0.04371513328329907,"gpt":0.2034998865556346,"spread":0.1597847532723355,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002376336,0.00004396,0.0001065061,0.000005412356,0.00002092361,0.00000724182,0.0000777751,0.0000323636,0.000260829],"category_scores_gemma":[0.0001300776,0.00001717314,0.00002043735,0.0001109207,0.00001298673,0.00004317577,0.00002066134,0.00004723842,0.000008111188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001029868,"about_ca_system_score_gemma":0.000001596534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001333371,"about_ca_topic_score_gemma":0.0004659389,"domain_scores_codex":[0.9994847,0.00004120595,0.000145863,0.000114884,0.000116664,0.00009674225],"domain_scores_gemma":[0.9997603,0.0001188439,0.00003569126,0.00002705081,0.00002933808,0.00002875035],"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":[0.000004745255,0.0004804182,0.1086338,0.00001318417,0.000004367724,4.770374e-8,0.00003137893,8.652464e-7,0.8816137,0.0006136112,0.000004478903,0.008599366],"study_design_scores_gemma":[0.0000923241,0.00008149994,0.9272735,0.00003050366,0.000003431757,2.93907e-8,0.00001554898,0.0001441033,0.07183698,0.000295416,0.0001793053,0.0000474282],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954884,0.00000330914,0.000005471831,0.0006960898,0.00001023169,0.0001081735,0.000002051113,0.00001467335,0.003671624],"genre_scores_gemma":[0.9995558,0.000002128467,0.0001847016,0.0000839196,0.00004192902,0.000007042489,0.000001425822,2.329898e-7,0.000122775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8186396,"threshold_uncertainty_score":0.2855895,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4230864700","doi":"10.1139/g99-065","title":"Quantitative trait loci for root-penetration ability and root thickness in rice: Comparison of genetic backgrounds","year":2000,"lang":"en","type":"article","venue":"Genome","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":128,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Quantitative trait locus; Biology; Doubled haploidy; Oryza sativa; Agronomy; Population; Root system; Trait; Marker-assisted selection; Horticulture; Botany; Genetics; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.04811329053146215,"gpt":0.2931435641850028,"spread":0.2450302736535406,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001639839,0.00007051945,0.0001385333,0.000008399948,0.00006230944,0.00002228015,0.00007430945,0.00004561182,0.0003294105],"category_scores_gemma":[0.00001702357,0.00003190099,0.00002986327,0.0001575177,0.00003963733,0.00006651055,0.000008517985,0.00004367989,0.000003274207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001843392,"about_ca_system_score_gemma":0.000005185779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002603152,"about_ca_topic_score_gemma":0.001765109,"domain_scores_codex":[0.9993274,0.00003793684,0.0002529933,0.0001763767,0.00008495402,0.0001203069],"domain_scores_gemma":[0.9997191,0.0001124531,0.00006006376,0.00003078459,0.00004638849,0.00003120614],"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":[0.0001141606,0.0002564022,0.03836626,0.00004945742,0.000007642574,1.429158e-7,0.001312691,0.0002047056,0.8651893,0.0004491253,0.00002820222,0.09402192],"study_design_scores_gemma":[0.0002103867,0.0004437417,0.9953503,0.000004000454,0.000004182144,2.555428e-7,0.0006453812,0.0003158779,0.0008384577,0.0005625882,0.001545744,0.0000790726],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984435,0.0001725051,0.0001065292,0.0004834704,0.00001935069,0.0003464773,0.00002706357,0.000008269419,0.0003928375],"genre_scores_gemma":[0.999265,0.000009003444,0.0004333035,0.00005669871,0.00002570217,0.00002584082,0.00005172364,4.989437e-7,0.0001322212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.956984,"threshold_uncertainty_score":0.3606814,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2938314486","doi":"10.1038/s41559-019-0862-x","title":"Synchronized failure of global crop production","year":2019,"lang":"en","type":"article","venue":"Nature Ecology & Evolution","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":127,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Production (economics); Crop production; Crop; Environmental science; Agricultural engineering; Agroforestry; Agronomy; Biology; Engineering; Economics; Agriculture; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.003824291097107707,"gpt":0.208877928523102,"spread":0.2050536374259943,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000125274,0.00007677609,0.0001203618,0.00000642615,0.00006188576,0.00000627379,0.0001012526,0.0003084273,0.0006705169],"category_scores_gemma":[0.00009144801,0.00003169214,0.00005398051,0.0002866055,0.00003221037,0.0001011494,0.00002860071,0.0001701918,0.00007919464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00015151,"about_ca_system_score_gemma":0.00001710194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003980105,"about_ca_topic_score_gemma":0.0008652828,"domain_scores_codex":[0.9993151,0.00004737596,0.0001503684,0.0002187121,0.0001190245,0.0001494634],"domain_scores_gemma":[0.9996409,0.00002680056,0.0001157614,0.00005004699,0.0001408005,0.00002568838],"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":[0.00004825621,0.0001179707,0.3487705,0.00001135852,0.00001719655,1.955281e-7,0.00001273563,0.00002676661,0.6375381,0.004462563,0.005532839,0.003461546],"study_design_scores_gemma":[0.0001842644,0.0002253882,0.9898668,0.000007218376,0.000007977073,0.000003849351,0.0001076681,0.00004918424,0.003990271,0.0005378796,0.004946895,0.00007263921],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935973,0.0001100252,0.000005759425,0.004289228,0.0008821919,0.0003233194,0.000009047192,0.00004064758,0.0007424635],"genre_scores_gemma":[0.9990127,0.000004204355,0.00008967118,0.0001670872,0.0001763453,0.000008493694,0.00003628013,3.471814e-7,0.0005048777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6410963,"threshold_uncertainty_score":0.734169,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2014846510","doi":"10.5539/jas.v3n3p217","title":"Effect of Organic Fertilizer on Growth and Yield Components in Rice (Oryza sativa L.)","year":2011,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":124,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Panicle; Randomized block design; Tiller (botany); Fertilizer; Agronomy; Oryza sativa; Mathematics; Organic fertilizer; Yield (engineering); Manure; Chemistry; Biology; Materials science","retraction":null,"screen_n_in":null,"score":{"opus":0.04019075353226829,"gpt":0.2278077264671225,"spread":0.1876169729348542,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005849112,0.0001073684,0.0001991029,0.0000359832,0.00008973934,0.00002791242,0.0003075363,0.0000386401,0.00008803477],"category_scores_gemma":[0.0003154897,0.00002941828,0.00005337387,0.0006903618,0.0001251795,0.0003530619,0.00005781766,0.0001398249,0.000003017537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003179139,"about_ca_system_score_gemma":0.000007813008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001258246,"about_ca_topic_score_gemma":0.00003714867,"domain_scores_codex":[0.9988868,0.00006133843,0.000328434,0.0001474284,0.0003919493,0.0001840272],"domain_scores_gemma":[0.9992127,0.0002218937,0.0002875933,0.00002684914,0.0001395451,0.0001114127],"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":[0.00006838733,0.00007915906,0.02461841,0.000007578654,0.000003245458,0.000001921784,0.0002559954,2.94696e-7,0.9724102,0.00005456102,0.00003293029,0.002467316],"study_design_scores_gemma":[0.0001575721,0.001232547,0.699827,0.00005512183,0.000004330527,0.00001230336,0.0002026241,9.552637e-7,0.2984247,0.00002058603,0.000006932818,0.00005529395],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981569,0.00003419034,5.306257e-7,0.0003948749,0.0001192112,0.0001209807,8.96264e-7,0.000004549619,0.001167875],"genre_scores_gemma":[0.9997687,0.00003176177,0.00003576313,0.00009296627,0.00003896649,0.000001021427,3.871828e-7,3.199446e-7,0.00003015524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6752086,"threshold_uncertainty_score":0.1199643,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2914745578","doi":"10.1016/j.agwat.2018.12.030","title":"Groundwater irrigation induced soil sodification and response options","year":2019,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":123,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"","keywords":"Environmental science; Irrigation; Soil water; Groundwater; Water resource management; Leaching (pedology); Agronomy; Soil science; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.01772573256072753,"gpt":0.2030685243170167,"spread":0.1853427917562892,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002196216,0.000133977,0.00009364777,0.00001616184,0.0001689706,0.0001485266,0.0001154723,0.00005256875,0.0004180426],"category_scores_gemma":[0.000002786446,0.00003844082,0.000042811,0.0001264428,0.00001274402,0.0002861458,0.0001022818,0.00006154778,0.0004498883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004740559,"about_ca_system_score_gemma":6.903956e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006729783,"about_ca_topic_score_gemma":0.00003596787,"domain_scores_codex":[0.9990378,0.00007168223,0.000191718,0.0002965494,0.0001800244,0.0002222251],"domain_scores_gemma":[0.9997555,0.00002470661,0.00004559929,0.00006287065,0.00005345566,0.0000578428],"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":[0.00004240676,0.00005753298,0.00038114,0.000009420251,0.00001964268,6.488638e-7,0.0002432563,0.000006002276,0.9865236,0.001797826,0.0002925706,0.01062599],"study_design_scores_gemma":[0.0003206445,0.0002305065,0.9110819,0.00001608844,0.00001802344,0.000003105725,0.002037002,0.00003221531,0.07296154,0.0006124274,0.01244719,0.0002393659],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989005,0.000008608919,0.000003184435,0.006507409,0.000149595,0.0005680541,0.000002026391,0.00007496203,0.00368116],"genre_scores_gemma":[0.9897197,0.00001214654,0.00005650226,0.0004015223,0.00005952912,0.00006430069,0.0001897662,8.128053e-7,0.009495717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.913562,"threshold_uncertainty_score":0.5782554,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2612339647","doi":"10.1016/j.scitotenv.2017.05.028","title":"Quantifying the impact of climate change on crop yield and water footprint of rice in the Nam Oon Irrigation Project, Thailand","year":2017,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":118,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"International Development Research Centre","keywords":"Irrigation; Yield (engineering); Crop; Environmental science; Climate change; Water resource management; Footprint; Crop yield; Agroforestry; Geography; Agronomy; Forestry; Ecology; Biology; Archaeology","retraction":null,"screen_n_in":null,"score":{"opus":0.0852690441891059,"gpt":0.2835539933868095,"spread":0.1982849491977036,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001103897,0.00007133738,0.00008111517,0.00000767153,0.0004563953,0.00004518237,0.0006340405,0.00001785186,0.00001812531],"category_scores_gemma":[0.00004572524,0.00001311476,0.00005648241,0.00006845927,0.0006037659,0.00008582218,0.0002757093,0.00007323469,0.000001299313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001953074,"about_ca_system_score_gemma":0.000003594251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001697481,"about_ca_topic_score_gemma":0.00002356013,"domain_scores_codex":[0.9992065,0.00005016169,0.0001526547,0.0001270967,0.0003097897,0.0001538123],"domain_scores_gemma":[0.9994778,0.00007820974,0.0002054243,0.0002177378,0.000008815137,0.0000120134],"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":[0.00002458611,0.00007177084,0.001623446,0.00000604508,0.000003478412,5.490624e-8,0.001958912,0.0001807684,0.9892747,0.0002135191,0.000002508544,0.006640221],"study_design_scores_gemma":[0.00006406436,0.0002380233,0.8844615,0.00003100574,0.000004748478,0.000001055297,0.0008940451,0.0003096641,0.1138172,0.0001352656,0.000007396,0.00003600339],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947768,0.00001475142,1.696474e-7,0.003832469,0.00003799009,0.0004658314,0.000005773827,0.000001325811,0.0008648768],"genre_scores_gemma":[0.9998479,0.00005731203,0.000003120861,0.00002643109,0.00001915895,0.00001493971,3.929918e-7,4.103835e-7,0.00003034254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8828381,"threshold_uncertainty_score":0.351027,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3183694624","doi":"10.1016/j.jclepro.2021.128370","title":"Mechanical side-deep fertilization mitigates ammonia volatilization and nitrogen runoff and increases profitability in rice production independent of fertilizer type and split ratio","year":2021,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":117,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Fertilizer; Animal science; Agronomy; Chemistry; Nitrogen; Ammonia volatilization from urea; Environmental science; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.01893620223235352,"gpt":0.2327739855358035,"spread":0.2138377833034499,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005366293,0.00009519919,0.0001839843,0.00003549836,0.00007431344,0.00004139697,0.00003306426,0.00007039591,0.00002012878],"category_scores_gemma":[0.0009983201,0.00004866774,0.00002121688,0.0003234076,0.00004881357,0.0004314471,0.0000364309,0.0001105864,1.710886e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003196069,"about_ca_system_score_gemma":0.00002320513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007591008,"about_ca_topic_score_gemma":0.000378248,"domain_scores_codex":[0.9988328,0.0001525585,0.0004625228,0.0002441596,0.0002151702,0.0000927547],"domain_scores_gemma":[0.9989249,0.00005009813,0.0002850199,0.0000474156,0.0006362927,0.00005630288],"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":[0.0002417977,0.0001900212,0.09849793,0.00006163193,0.00001450637,0.000001114001,0.00020529,0.00004278452,0.8701292,0.00005066972,0.00001741158,0.03054766],"study_design_scores_gemma":[0.0002501864,0.0002437199,0.7663404,0.00005484856,0.00002981925,0.00006648737,0.001204016,0.0003820464,0.2300267,0.00120814,0.0001075406,0.00008611948],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971083,0.0006519402,0.00002294881,0.001815528,0.0001481126,0.000235222,0.000001077239,0.000007399061,0.000009440431],"genre_scores_gemma":[0.9990606,0.0004168704,0.0002804285,0.00003666332,0.0001394378,0.000003012642,0.00001325059,0.000001483448,0.0000482947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6678424,"threshold_uncertainty_score":0.1984613,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2063104843","doi":"10.1016/s0378-4290(03)00079-0","title":"Effects of non-flooded mulching cultivation on crop yield, nutrient uptake and nutrient balance in rice–wheat cropping systems","year":2003,"lang":"en","type":"article","venue":"Field Crops Research","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":113,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Queen's University; National Natural Science Foundation of China; Queen's University Belfast","keywords":"Agronomy; Nutrient; Loam; Mulch; Straw; Phosphorus; Cropping system; Yield (engineering); Environmental science; Crop yield; Biomass (ecology); Crop; Soil water; Chemistry; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.04532170573556519,"gpt":0.3031472824562061,"spread":0.2578255767206409,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007389243,0.0001202874,0.0001929767,0.00006380303,0.0002034507,0.00009410538,0.0001533426,0.0001252378,0.00005341049],"category_scores_gemma":[0.0009415644,0.00005565233,0.00003903685,0.0005612383,0.00003989919,0.0001012316,0.00005780628,0.000348314,0.000007648611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005443256,"about_ca_system_score_gemma":0.0000142845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001748117,"about_ca_topic_score_gemma":0.00006937431,"domain_scores_codex":[0.9983581,0.000186807,0.0003128192,0.0003278304,0.0004521579,0.0003623274],"domain_scores_gemma":[0.9984803,0.001115885,0.00007230496,0.00008452061,0.000160241,0.00008681037],"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":[0.00007125425,0.0002904231,0.004342176,0.0001755676,0.000007899569,0.000007377603,0.0004488249,0.00001983417,0.9864941,0.002323025,0.0006977804,0.005121747],"study_design_scores_gemma":[0.001286036,0.001464649,0.2856352,0.0009683024,0.000004771556,0.000002934638,0.002032466,0.001296067,0.6966733,0.0002917253,0.010042,0.0003026001],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953163,0.00024588,0.0001292124,0.0006336811,0.0001525065,0.000770852,0.000002454747,0.00001381053,0.002735289],"genre_scores_gemma":[0.99889,0.0001321617,0.00004338013,0.0001502636,0.00006651061,0.00008061795,0.000004655359,0.000001399394,0.0006309615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2898208,"threshold_uncertainty_score":0.2642641,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4220979542","doi":"10.1016/j.jclepro.2022.131487","title":"Effects of alternate wetting and drying irrigation on yield, water and nitrogen use, and greenhouse gas emissions in rice paddy fields","year":2022,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":111,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Greenhouse gas; Irrigation; Environmental science; Wetting; Yield (engineering); Nitrogen; Agronomy; Greenhouse; Environmental engineering; Waste management; Pulp and paper industry; Materials science; Chemistry; Engineering; Chemical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02225679780305533,"gpt":0.2207983514911655,"spread":0.1985415536881102,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003071217,0.00005069798,0.00008745921,0.00003031634,0.0001208707,0.00002433905,0.00003047649,0.00002131577,0.00001229142],"category_scores_gemma":[0.0001228412,0.00002051747,0.0000160927,0.00006163378,0.0000141492,0.0001830463,0.00003893692,0.0001445277,6.358299e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001295497,"about_ca_system_score_gemma":0.000001966743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009039206,"about_ca_topic_score_gemma":0.00001930977,"domain_scores_codex":[0.9994394,0.00006433263,0.0001941294,0.0001020386,0.0001283442,0.00007173457],"domain_scores_gemma":[0.999676,0.00009741938,0.00014038,0.00001740054,0.00003701888,0.00003177247],"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":[0.00007103517,0.00006208935,0.0134358,0.00002375627,0.000007586025,0.000003112617,0.0005222341,0.00007986317,0.9414651,0.00001177437,0.0000679042,0.04424968],"study_design_scores_gemma":[0.0005909501,0.001402886,0.2299158,0.0001440947,0.0000313469,0.0001216035,0.001602582,0.0001403474,0.7626105,0.001578765,0.001710629,0.0001505026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997156,0.00006785787,0.00000211931,0.002533821,0.0001098042,0.0001094351,5.466255e-7,0.000003498419,0.00001686662],"genre_scores_gemma":[0.9995444,0.000110069,0.00003362333,0.0001301727,0.0001044231,0.000002534004,0.00000146309,7.050858e-7,0.00007265114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.21648,"threshold_uncertainty_score":0.09296518,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1966149720","doi":"10.1007/s10681-008-9826-y","title":"Characterization of the effect of a QTL for drought resistance in rice, qtl12.1, over a range of environments in the Philippines and eastern India","year":2008,"lang":"en","type":"article","venue":"Euphytica","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":105,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Rockefeller Foundation; United States Agency for International Development","keywords":"Quantitative trait locus; Agronomy; Biology; Grain yield; Drought stress; Drought tolerance; Yield (engineering); Population; Range (aeronautics); Upland rice; Oryza sativa; Gene; Demography; Materials science","retraction":null,"screen_n_in":null,"score":{"opus":0.01217998260713158,"gpt":0.2033807587937752,"spread":0.1912007761866436,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001198516,0.00004634448,0.0001024467,0.000007320998,0.00002387449,0.000002120104,0.00008844897,0.00002347973,0.00001069859],"category_scores_gemma":[0.00003891163,0.00001404137,0.00002817388,0.0001516855,0.00005289075,0.00004007852,0.00001773197,0.00002591371,1.576449e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004750197,"about_ca_system_score_gemma":0.000001531071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002086133,"about_ca_topic_score_gemma":0.00006572611,"domain_scores_codex":[0.9995502,0.00005636137,0.0001598216,0.00007518224,0.00009803507,0.00006041668],"domain_scores_gemma":[0.9997137,0.0001265524,0.0001091852,0.00003819828,0.000005880489,0.000006511603],"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":[0.00008363426,0.00006188087,0.3649658,0.00004199842,0.000003253978,1.513988e-7,0.0007459038,1.463484e-7,0.6328735,0.00004993805,0.00001041148,0.001163428],"study_design_scores_gemma":[0.0003641236,0.0001221085,0.9720669,0.00003756701,0.000002923126,1.479765e-7,0.00004550833,0.00001532566,0.02668672,0.00002386397,0.0006083763,0.00002639096],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990453,0.00003641693,0.000002334505,0.0003375221,0.00001875701,0.0004169503,0.00001688554,8.407655e-7,0.0001250433],"genre_scores_gemma":[0.9997126,0.00003270683,0.000007431073,0.00006822043,0.0000167771,0.00002643788,0.000004707556,3.527185e-7,0.000130752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6071011,"threshold_uncertainty_score":0.05725906,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4238551149","doi":"10.2134/agronj2010.0476","title":"Yield Gaps, Indigenous Nutrient Supply, and Nutrient Use Efficiency of Wheat in China","year":2011,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":93,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Plant Biotechnology Institute","funders":"National Key Research and Development Program of China; Chinese Academy of Agricultural Sciences; Chinese Academy of Sciences; International Plant Nutrition Institute","keywords":"Nutrient; Nutrient management; Environmental science; Agronomy; Fertilizer; Yield (engineering); Field experiment; China; Mathematics; Biology; Geography; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.02838623900993087,"gpt":0.2034862295951345,"spread":0.1750999905852037,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002189269,0.00009707078,0.0001385513,0.00003151242,0.00012453,0.00004808794,0.0001345303,0.00005073588,0.0005462487],"category_scores_gemma":[0.00002937217,0.00003813272,0.0000514288,0.0001690832,0.0000439321,0.0002108619,0.00004603099,0.0001523891,0.000003301114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002982003,"about_ca_system_score_gemma":0.00001380108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008181959,"about_ca_topic_score_gemma":0.0001424314,"domain_scores_codex":[0.9991604,0.00003436815,0.0003104436,0.000139801,0.0001323332,0.0002226262],"domain_scores_gemma":[0.9996176,0.00005511174,0.0001391384,0.00003636671,0.00004267896,0.0001091395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001296066,0.001317,0.7894733,0.00001476088,0.00002675716,0.00002326763,0.009929315,0.000002490195,0.1175239,0.001390842,0.0007550445,0.07941377],"study_design_scores_gemma":[0.0003180741,0.0004908671,0.9643865,0.00006215748,0.000005902869,0.00003287042,0.001118856,0.00000355921,0.02984304,0.0004850382,0.003131031,0.0001220709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985476,0.0003304782,0.00005179996,0.0002255775,0.00008370387,0.0001914981,0.000004128256,0.000006407901,0.000558832],"genre_scores_gemma":[0.9991654,0.0003676277,0.0002007244,0.00008860473,0.0000495684,0.000005173818,0.000003047627,5.887942e-7,0.0001192845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1749133,"threshold_uncertainty_score":0.5981041,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1968492845","doi":"10.1016/j.agsy.2006.10.002","title":"Farmer participatory testing of standard and modified site-specific nitrogen management for irrigated rice in China","year":2006,"lang":"en","type":"article","venue":"Agricultural Systems","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":84,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Natural Science Foundation of China; International Development Research Centre","keywords":"Fertilizer; China; Agricultural science; Nutrient management; Mathematics; Agronomy; Agricultural engineering; Environmental science; Geography; Agriculture; Engineering; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.03952769125288603,"gpt":0.2243389897821346,"spread":0.1848112985292486,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002066337,0.0001359546,0.0002094785,0.00001350005,0.0001045756,0.00005536444,0.00008812432,0.00005600558,0.000008351658],"category_scores_gemma":[0.00001179785,0.00004816768,0.00004465595,0.0003167866,0.00002476493,0.00007810442,0.00003228287,0.00004732227,0.00000236972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004438805,"about_ca_system_score_gemma":0.0000015673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001359937,"about_ca_topic_score_gemma":0.0001722605,"domain_scores_codex":[0.9989009,0.00004661691,0.0003929715,0.0002430168,0.0001722789,0.0002442483],"domain_scores_gemma":[0.9995631,0.00009821002,0.0001587197,0.00003687654,0.00009651529,0.00004660392],"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":[0.00006601134,0.0001492964,0.09262463,0.0001523057,0.00003065476,0.000003015888,0.0001345456,0.00035047,0.894699,0.003718812,0.002170034,0.005901244],"study_design_scores_gemma":[0.0005088823,0.0001619106,0.9895445,0.00007290418,0.00001479887,0.000002360765,0.0007411682,0.0002122182,0.005047498,0.0001766819,0.003330476,0.0001866259],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960561,0.0003826259,0.00001133406,0.0001620023,0.00009434844,0.0008320723,0.00004119986,0.00003836377,0.002381952],"genre_scores_gemma":[0.9992082,0.00001085601,0.0001082728,0.0000107963,0.000106871,0.0001298063,0.00008209809,9.476791e-7,0.0003421274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8969198,"threshold_uncertainty_score":0.2055827,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1993119136","doi":"10.1016/j.agwat.2013.10.009","title":"Simulating soil water regime in lowland paddy fields under different water managements using HYDRUS-1D","year":2013,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":78,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China; Key Technologies Research and Development Program","keywords":"Environmental science; Irrigation; Hydrology (agriculture); Pressure head; Soil science; Paddy field; Groundwater; Tillage; Hydraulic head; Water table; Geotechnical engineering; Agronomy; Geology; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02182504055638943,"gpt":0.2073226971511244,"spread":0.185497656594735,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001581629,0.0003788052,0.0002826455,0.00004346449,0.0002804321,0.0003347656,0.0003484593,0.0001138708,0.002368705],"category_scores_gemma":[0.000001741867,0.00009083326,0.0001333217,0.0001226164,0.00002865666,0.0004578442,0.0005533072,0.0001669979,0.0005255156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001155473,"about_ca_system_score_gemma":4.2709e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008229106,"about_ca_topic_score_gemma":0.0002908429,"domain_scores_codex":[0.9975364,0.00008431042,0.0005221784,0.0005681189,0.0003849849,0.0009040577],"domain_scores_gemma":[0.999613,0.00002135872,0.00005370787,0.0001319174,0.00006257321,0.0001174535],"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":[0.00002567211,0.0004263537,0.003748114,0.00009798064,0.0001946944,0.0000281307,0.001207584,0.004163232,0.9709252,0.0001814922,0.001919533,0.01708209],"study_design_scores_gemma":[0.002519955,0.0003805094,0.5696742,0.0002254361,0.0001462027,0.000007960795,0.007736178,0.004587402,0.3976033,0.004234405,0.01091212,0.001972355],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888057,0.000009131775,0.00002764925,0.005547253,0.0002603736,0.001038475,0.000001860543,0.00008571454,0.004223848],"genre_scores_gemma":[0.9867491,0.00001309778,0.00005212889,0.001231926,0.0001711085,0.0001132359,0.0002926057,0.000003398635,0.01137346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5733218,"threshold_uncertainty_score":0.9985433,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2010742279","doi":"10.1071/ar04128","title":"Modelling the effects of row configuration on sorghum yield reliability in north-eastern Australia","year":2005,"lang":"en","type":"article","venue":"Australian Journal of Agricultural Research","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Sorghum; Interception; Yield (engineering); Sowing; Agronomy; Environmental science; Mathematics; Crop yield; Crop; Cropping; Agricultural engineering; Geography; Agriculture; Engineering; Biology; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.1335139974130141,"gpt":0.3330665853743143,"spread":0.1995525879613002,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001004099,0.0001323129,0.0002085809,0.00003963355,0.0001338356,0.0000752467,0.0004222809,0.00009444747,0.0001889765],"category_scores_gemma":[0.0004048007,0.00003845111,0.0001347116,0.0006200734,0.00009352146,0.0003040392,0.00003188781,0.0006731896,0.00002753674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000943449,"about_ca_system_score_gemma":0.00001551941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004408138,"about_ca_topic_score_gemma":0.0005589101,"domain_scores_codex":[0.9978213,0.0002658082,0.0005953052,0.0001739653,0.0007908292,0.0003528275],"domain_scores_gemma":[0.9981437,0.000834728,0.0002529476,0.00007282406,0.00057514,0.0001206638],"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":[0.0003110786,0.0007994756,0.03227676,0.00009984148,0.00005384345,0.00001786904,0.001687601,0.02807551,0.9045511,0.0004656259,0.009210243,0.02245101],"study_design_scores_gemma":[0.0004022638,0.001614239,0.8611481,0.0002494627,0.00001059577,0.00001156085,0.001891276,0.000120326,0.1322302,0.00007607003,0.002092676,0.0001532131],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882833,0.00002367756,0.00000307273,0.01105438,0.0001151699,0.0003586721,0.000003122886,0.000004303275,0.0001543447],"genre_scores_gemma":[0.9971331,0.00004597815,0.00003796178,0.00004915292,0.0003425161,0.000007110287,0.000005671466,7.54408e-7,0.002377773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8288714,"threshold_uncertainty_score":0.2924711,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1977327546","doi":"10.1007/s12571-013-0291-7","title":"The prospects for hybrid rice in India","year":2013,"lang":"en","type":"article","venue":"Food Security","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":76,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Indian Council of Agricultural Research; Strategic Innovation Fund; International Fine Particle Research Institute; Bill and Melinda Gates Foundation; United States Agency for International Development","keywords":"Lagging; Food security; Agriculture; Agricultural economics; China; Government (linguistics); Yield (engineering); Crop; Economics; Production (economics); Agricultural policy; Business; Natural resource economics; Geography; Agronomy; Mathematics; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.01425072493644476,"gpt":0.2118603948063679,"spread":0.1976096698699231,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000114694,0.00005151679,0.0000506033,0.000002858624,0.0001423729,0.00006853862,0.0001268223,0.00002143317,0.00007366912],"category_scores_gemma":[0.00006130544,0.00001486914,0.00003087584,0.0001013386,0.00001531334,0.0000769205,0.00002611748,0.00005578055,0.0000255783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001338397,"about_ca_system_score_gemma":0.00000306264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001011159,"about_ca_topic_score_gemma":0.0002691,"domain_scores_codex":[0.9995322,0.00001630057,0.0001033788,0.0001123816,0.00007224779,0.0001635553],"domain_scores_gemma":[0.9997308,0.0001303709,0.00003615349,0.00002990269,0.00004082263,0.00003201254],"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":[0.0001630882,0.001426793,0.04405733,0.00009490206,0.00007876253,0.000002419986,0.003004195,0.00000118101,0.4063155,0.1011019,0.1020922,0.3416618],"study_design_scores_gemma":[0.0002907886,0.0007291022,0.8749282,0.000007268418,0.000001888502,7.422036e-7,0.0006519021,0.0001135363,0.01613531,0.03691445,0.07007583,0.0001510013],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949156,0.00006394643,0.000001089858,0.00255828,0.00008695862,0.0006625156,0.00001130281,0.00001974783,0.001680545],"genre_scores_gemma":[0.999092,0.00001029847,0.00001159727,0.0004442364,0.00008694696,0.0001896278,0.00001209914,2.788153e-7,0.0001528885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8308709,"threshold_uncertainty_score":0.1095032,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2083672980","doi":"10.1016/j.fcr.2004.09.017","title":"The efficiency of nitrogen fertiliser for rice in Bangladeshi farmers’ fields","year":2004,"lang":"en","type":"article","venue":"Field Crops Research","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":70,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Agronomy; Nitrogen; Oryza sativa; Soil fertility; Productivity; Yield (engineering); Environmental science; Crop; Crop productivity; Mathematics; Soil water; Biology; Chemistry; Economics; Soil science","retraction":null,"screen_n_in":null,"score":{"opus":0.07259758590155845,"gpt":0.3395979532122814,"spread":0.2670003673107229,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005801115,0.00004867527,0.00006757209,0.00001514948,0.0002217721,0.00004026594,0.0002996465,0.00007180955,0.0001204218],"category_scores_gemma":[0.0004301224,0.00001620217,0.00004993726,0.0003702859,0.00004920829,0.00003880607,0.00006105191,0.0001694624,0.000006902351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002144771,"about_ca_system_score_gemma":0.00001905426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001324036,"about_ca_topic_score_gemma":0.001218448,"domain_scores_codex":[0.9991388,0.00004455514,0.0001623628,0.0001373592,0.0002360928,0.0002807902],"domain_scores_gemma":[0.9989314,0.0007985463,0.00002504273,0.00006213964,0.0001465127,0.00003633606],"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":[0.0003640661,0.0004841275,0.01414256,0.00005238495,0.00001849021,0.000003381268,0.001366566,0.00002601651,0.8419497,0.00866977,0.004792099,0.1281309],"study_design_scores_gemma":[0.001436637,0.002621983,0.129879,0.00007688433,0.000004738989,0.00000150279,0.008457425,0.000121029,0.7719051,0.02411938,0.06107829,0.0002979649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844961,0.0001216847,0.00004140639,0.01232193,0.0000527414,0.0003703627,0.000003881604,0.000007093427,0.0025848],"genre_scores_gemma":[0.9989538,0.00004356794,0.00003885341,0.0002361624,0.00005308329,0.00006051632,0.000003984748,4.446243e-7,0.0006096464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1278329,"threshold_uncertainty_score":0.2001555,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1964047458","doi":"10.1270/jsbbs.56.47","title":"Estimation of Drought Tolerance Based on Leaf Temperature in Upland Rice Breeding","year":2006,"lang":"en","type":"article","venue":"Breeding Science","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Plant Biotechnology Institute","funders":"Ministry of Agriculture, Forestry and Fisheries","keywords":"Transpiration; Biology; Agronomy; Photosynthesis; Upland rice; Drought tolerance; Irrigation; Oryza sativa; Botany","retraction":null,"screen_n_in":null,"score":{"opus":0.01523628339736619,"gpt":0.2266302750300404,"spread":0.2113939916326742,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004273289,0.0000859534,0.00009887983,0.0000458232,0.0001734402,0.00008051414,0.0002398449,0.00004213915,0.00002522039],"category_scores_gemma":[0.00009940591,0.00003703875,0.00002571583,0.001178923,0.000103584,0.0002788932,0.00002138141,0.00008442496,0.000003947758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004603005,"about_ca_system_score_gemma":0.0000163848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000343713,"about_ca_topic_score_gemma":0.00007862375,"domain_scores_codex":[0.998934,0.00001051083,0.0002005729,0.0002605375,0.0003847051,0.0002096529],"domain_scores_gemma":[0.9996667,0.00009454538,0.00009496858,0.00004325045,0.00006607223,0.00003447639],"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":[0.000009993087,0.00006071772,0.008334201,0.000006964819,2.048967e-7,5.914216e-7,0.00003180077,0.004956812,0.9781187,0.0008663486,0.0001657232,0.007448003],"study_design_scores_gemma":[0.0003105264,0.0002985984,0.7569387,0.0001605478,0.000001881631,0.000001683073,0.0001550052,0.08576901,0.1557237,0.0001783342,0.0002809141,0.0001811429],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939563,0.00001127693,0.00003177312,0.001057733,0.0001319801,0.000123749,0.000004641649,0.00002500779,0.004657531],"genre_scores_gemma":[0.9991038,0.000001198072,0.0003651559,0.000270307,0.00008611011,0.000005955872,0.000006806923,4.548695e-7,0.0001602557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.822395,"threshold_uncertainty_score":0.1510396,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2893976264","doi":"10.1007/s12298-018-0606-4","title":"Physiological characterization and allelic diversity of selected drought tolerant traditional rice (Oryza sativa L.) landraces of Koraput, India","year":2018,"lang":"en","type":"article","venue":"Physiology and Molecular Biology of Plants","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":67,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University Grants Commission; Multiple Sclerosis Scientific Research Foundation","keywords":"Oryza sativa; Plant physiology; Diversity (politics); Biology; Genetic diversity; Agronomy; Botany; Population; Gene; Genetics; Sociology; Anthropology","retraction":null,"screen_n_in":null,"score":{"opus":0.02361726862445683,"gpt":0.2226407409902984,"spread":0.1990234723658416,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000700465,0.00009132212,0.0002407359,0.00001767396,0.00009348994,0.000001420937,0.00008767462,0.0001278122,0.00006100865],"category_scores_gemma":[0.00002729288,0.00004220596,0.00002885386,0.00008898454,0.0003858123,0.00003481863,0.00009405619,0.00005409404,6.122862e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002023173,"about_ca_system_score_gemma":0.000005531152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004862554,"about_ca_topic_score_gemma":0.000006757832,"domain_scores_codex":[0.9993454,0.000114986,0.0001828126,0.0001946685,0.00004925862,0.0001129405],"domain_scores_gemma":[0.9995724,0.00008437457,0.0001978052,0.00003138973,0.00008298266,0.00003102398],"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":[0.0001172339,0.000101307,0.009554083,0.00001601809,0.00004284062,3.693405e-7,0.0001420132,1.726631e-7,0.9877651,0.0004705639,0.00001416315,0.001776188],"study_design_scores_gemma":[0.0002065358,0.0006771666,0.740828,0.000009500396,0.0000084016,0.000002335933,0.00004342833,0.00002497898,0.2574489,0.0006341467,0.00005660045,0.00005996882],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994071,0.00005769344,0.00005963587,0.0001078463,0.00003837942,0.0001067961,0.0001758808,0.000007420955,0.00003928813],"genre_scores_gemma":[0.9991918,0.0001251158,0.00006362282,0.0001631474,0.00003850182,0.000002730123,0.000408736,4.531667e-7,0.000005953254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7312739,"threshold_uncertainty_score":0.1721109,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2895244430","doi":"10.1038/s42003-018-0171-y","title":"Assembling the genome of the African wild rice Oryza longistaminata by exploiting synteny in closely related Oryza species","year":2018,"lang":"en","type":"article","venue":"Communications Biology","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Institute of Genetics; National Agriculture and Food Research Organization; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Synteny; Oryza; Oryza sativa; Genome; Biology; Botany; Evolutionary biology; Genetics; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.057888396150179,"gpt":0.265486913436521,"spread":0.207598517286342,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000478493,0.000091332,0.0001274596,0.00001610904,0.000451493,0.00002239822,0.001524711,0.00008061489,0.000109184],"category_scores_gemma":[0.0003318237,0.00002992785,0.00005367693,0.0006844825,0.0006024375,0.00005846764,0.0005250176,0.0002102897,0.0000128494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003356381,"about_ca_system_score_gemma":0.00001101119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003464493,"about_ca_topic_score_gemma":0.0008765804,"domain_scores_codex":[0.9988867,0.0003521084,0.0003464757,0.0001616489,0.00006763046,0.000185448],"domain_scores_gemma":[0.9985217,0.0006429891,0.0002318403,0.0004550484,0.0001258387,0.00002260592],"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":[0.000006209265,0.0001206517,0.01180514,0.000002598317,0.00001683665,5.540119e-8,0.0008275293,5.23639e-7,0.9691144,0.009237304,0.0004708068,0.008397922],"study_design_scores_gemma":[0.0002432473,0.0002541019,0.6585745,0.00004794931,0.00001869224,0.000003969085,0.01230837,0.0002818273,0.01206433,0.001129412,0.3148273,0.0002463413],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695178,0.0006096183,0.00002333757,0.01956641,0.00007932238,0.0002762908,0.00003743021,0.00002669978,0.009863036],"genre_scores_gemma":[0.9982902,0.0002768933,0.00008174456,0.0005111366,0.00003442403,0.00002886263,0.00006327041,0.000001045954,0.0007123536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9570501,"threshold_uncertainty_score":0.3472565,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2796915964","doi":"10.3389/fchem.2018.00092","title":"Introgression of Physiological Traits for a Comprehensive Improvement of Drought Adaptation in Crop Plants","year":2018,"lang":"en","type":"review","venue":"Frontiers in Chemistry","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Indian Council of Agricultural Research","keywords":"Biology; Water-use efficiency; Drought tolerance; Agronomy; Agriculture; Crop yield; Transpiration; Population; Irrigation; Agroforestry; Environmental science; Ecology; Photosynthesis; Botany","retraction":null,"screen_n_in":null,"score":{"opus":0.08186898693586732,"gpt":0.3071925926290264,"spread":0.2253236056931591,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001012139,0.0001958493,0.0008213447,0.00001753807,0.00002028907,0.000005819722,0.0002315999,0.0002801561,0.00003594953],"category_scores_gemma":[0.00004816037,0.00007994312,0.0001848675,0.0001904408,0.00007708849,0.00003130077,0.00005096158,0.0001290306,3.387725e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006678725,"about_ca_system_score_gemma":0.00002548131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001807364,"about_ca_topic_score_gemma":0.000007105536,"domain_scores_codex":[0.9987003,0.00002821912,0.0006501335,0.0003070964,0.0001341367,0.0001800881],"domain_scores_gemma":[0.9992439,0.00008576772,0.0005204353,0.00005084718,0.00006700302,0.00003204068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004458339,0.0001951842,0.00001808707,0.003703429,0.00002634915,5.198696e-7,0.00005731768,0.000001410851,0.05396483,0.00000126057,0.002191364,0.9397957],"study_design_scores_gemma":[0.00233354,0.001467567,0.003001568,0.02501082,0.0001611391,0.000003206055,0.003752291,0.000697928,0.0436385,0.0004802601,0.9182162,0.001236966],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.08155299,0.915905,0.00007513951,0.00003637228,0.0003073993,0.001570766,0.0004062383,0.00001965284,0.0001264171],"genre_scores_gemma":[0.01186437,0.984686,0.001762081,0.00003329839,0.0002647618,0.0002855099,0.0009690076,0.000003366487,0.0001315794],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9385587,"threshold_uncertainty_score":0.3259986,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2417242607","doi":"10.1371/journal.pone.0156528","title":"Molecular and Morpho-Agronomical Characterization of Root Architecture at Seedling and Reproductive Stages for Drought Tolerance in Wheat","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Indian Council of Agricultural Research","keywords":"Biology; Seedling; Drought tolerance; Agronomy; Genotype; Root system; Shoot; Horticulture; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.02264196761064867,"gpt":0.1991465713370903,"spread":0.1765046037264416,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006286324,0.00005262804,0.0001039937,0.000007126002,0.00002871534,0.000007689976,0.00002926751,0.00002895361,0.00001622436],"category_scores_gemma":[0.00004394352,0.00001954744,0.00001127753,0.00004224235,0.00002844169,0.00005531108,0.00002864754,0.00002065655,2.968874e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001233445,"about_ca_system_score_gemma":0.000001434433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001138508,"about_ca_topic_score_gemma":0.00003525721,"domain_scores_codex":[0.99955,0.00001502392,0.000108617,0.0001914782,0.00005538424,0.00007948823],"domain_scores_gemma":[0.9998246,0.00004761834,0.00004835605,0.00002840937,0.00002844006,0.00002256131],"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":[0.00004707253,0.00008474904,0.02295041,0.00001671848,0.00000757237,1.097302e-7,0.00009500362,6.167996e-7,0.967514,0.00004343263,9.720017e-7,0.00923931],"study_design_scores_gemma":[0.0001708174,0.000089597,0.330072,0.00005536215,0.000004291639,1.841693e-7,0.0000141819,0.00002516062,0.6693843,0.00008448453,0.00005344431,0.00004618484],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952635,0.00004271397,0.0000451673,0.004312463,0.00000750935,0.0002824931,0.00002720377,0.000006976496,0.00001198104],"genre_scores_gemma":[0.9994435,0.00003137646,0.0001922253,0.0000657445,0.00004535521,0.00002266048,0.0000151638,6.107358e-7,0.0001834021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3071216,"threshold_uncertainty_score":0.07971214,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4292671268","doi":"10.1016/j.jclepro.2022.133515","title":"Drainage in paddy systems maintains rice yield and reduces total greenhouse gas emissions on the global scale","year":2022,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":50,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Greenhouse gas; Environmental science; Yield (engineering); Drainage; Global-warming potential; Agronomy; Scale (ratio); Agricultural engineering; Environmental engineering; Engineering; Geography; Ecology; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.02407757945704744,"gpt":0.2266453077228927,"spread":0.2025677282658453,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006560245,0.00006672231,0.00009535487,0.00002030802,0.0002857285,0.00004875755,0.0001086208,0.00002166965,0.00008869325],"category_scores_gemma":[0.0001419183,0.00002304397,0.00003985143,0.0002976132,0.00002630837,0.0001114533,0.00004869225,0.0002107426,9.897547e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009276187,"about_ca_system_score_gemma":0.000009438059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001040374,"about_ca_topic_score_gemma":0.00003375407,"domain_scores_codex":[0.9991243,0.0001200532,0.0002455232,0.0001281429,0.0002688745,0.0001131337],"domain_scores_gemma":[0.999597,0.00006932094,0.0002028249,0.00003841029,0.00004585377,0.00004656705],"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":[0.0004614968,0.001032726,0.006921384,0.00002071712,0.00004157288,0.00002963453,0.001487511,0.003907131,0.8679721,0.001939113,0.01942034,0.09676626],"study_design_scores_gemma":[0.001230784,0.007868109,0.6887854,0.0003689185,0.00008706997,0.002193686,0.1533179,0.0006311584,0.03334628,0.004938567,0.1063712,0.0008608817],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711532,0.00006857383,0.000001187644,0.02726809,0.0004674345,0.0001674277,0.000004980569,0.000007975204,0.000861099],"genre_scores_gemma":[0.9985566,0.0000303811,0.000005998413,0.0002148691,0.0004174011,0.00000735622,0.000001508958,6.112076e-7,0.000765281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8346258,"threshold_uncertainty_score":0.2197622,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2064870641","doi":"10.15764/geos.2014.01003","title":"Comprehensive Approaches in Rehabilitating Salt Affected Soils: A Review on Indian Perspective","year":2014,"lang":"en","type":"review","venue":"Open Transactions on Geosciences","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Land reclamation; Environmental science; Soil retrogression and degradation; Soil salinity; Soil quality; Soil water; Agroforestry; Agriculture; Vegetation (pathology); Resource (disambiguation); Land degradation; Soil science; Ecology; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.143672104725892,"gpt":0.3511751875576724,"spread":0.2075030828317804,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007458905,0.0004056431,0.001176807,0.00009406888,0.0004648571,0.0002562752,0.001039767,0.0001706244,0.0004514874],"category_scores_gemma":[0.0001416288,0.000153325,0.0003349731,0.001721953,0.0001644946,0.0002375092,0.00002529742,0.000519819,0.0001040127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000195137,"about_ca_system_score_gemma":0.00008424172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001167226,"about_ca_topic_score_gemma":0.001488948,"domain_scores_codex":[0.9970384,0.0006540733,0.000607645,0.0009387369,0.0003858112,0.0003753513],"domain_scores_gemma":[0.9982652,0.0009962935,0.0003588291,0.0001711726,0.00008627879,0.0001222204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003741868,0.0002668329,6.173158e-7,0.001912446,0.00001495245,0.00000124421,0.0001705719,0.000005255084,0.000006997874,0.0001593934,0.0000751113,0.9973828],"study_design_scores_gemma":[0.0002073949,0.001526261,0.0004275327,0.04414915,0.0001116037,0.000008556964,0.004188171,0.00003281032,0.000008493061,0.0001341283,0.9484215,0.0007844458],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003536602,0.9849561,0.00003785181,0.002720275,0.0003279076,0.005442875,0.0001302544,0.00006772532,0.005963382],"genre_scores_gemma":[0.001280963,0.9961951,0.000192363,0.0009435859,0.00005047132,0.0008075605,0.00005164736,0.000003199483,0.0004750495],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9965984,"threshold_uncertainty_score":0.6252412,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2734772861","doi":"10.1016/s2095-3119(16)61562-9","title":"Comparison of yield traits in rice among three mechanized planting methods in a rice-wheat rotation system","year":2017,"lang":"en","type":"article","venue":"Journal of Integrative Agriculture","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Panicle; Transplanting; Agronomy; Seedling; Sowing; Japonica rice; Hectare; Cultivar; Biology; Japonica; Yield (engineering); Oryza sativa; Mathematics; Agriculture; Botany","retraction":null,"screen_n_in":null,"score":{"opus":0.06292226009139312,"gpt":0.3403157729806997,"spread":0.2773935128893066,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008540041,0.0001817423,0.0005646537,0.00005077983,0.0001467507,0.00009347483,0.0004027125,0.0001592799,0.00002648934],"category_scores_gemma":[0.0006638857,0.00005499829,0.0001534663,0.0003061384,0.00003332439,0.0004385819,0.0000414178,0.0004712303,8.031831e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009861223,"about_ca_system_score_gemma":0.0000124049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008059689,"about_ca_topic_score_gemma":0.005485428,"domain_scores_codex":[0.9983649,0.0001708697,0.0008391047,0.000164831,0.0002812807,0.000179064],"domain_scores_gemma":[0.9975972,0.0003796004,0.001517441,0.00004665123,0.0003966963,0.00006245788],"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":[0.00007320639,0.0001619053,0.04680938,0.00002814863,0.00002635192,0.000007029579,0.001469606,0.000024287,0.940724,0.0002535066,0.0002661698,0.01015645],"study_design_scores_gemma":[0.0004092367,0.0003194259,0.8128342,0.0007020982,0.0000165112,0.000008604096,0.0235759,0.0003756381,0.1615331,0.00006202051,0.0000428438,0.0001204114],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962749,0.0001152668,0.001076069,0.0005761506,0.0001585465,0.0003026563,0.00000761255,0.00000756679,0.001481235],"genre_scores_gemma":[0.9967912,0.00001602653,0.002957159,0.0000291928,0.0001250152,0.000009094443,0.00000571454,8.808008e-7,0.00006569794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7791908,"threshold_uncertainty_score":0.3060998,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1029751130","doi":"10.1007/s11104-015-2541-2","title":"Accumulation and partitioning of biomass, nitrogen, phosphorus and potassium among different tissues during the life cycle of rice grown under different water management regimes","year":2015,"lang":"en","type":"article","venue":"Plant and Soil","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Memorial University of Newfoundland","keywords":"Phosphorus; Panicle; Nitrogen; Agronomy; Water content; Potassium; Chemistry; Nutrient; Biomass (ecology); Nutrient management; Plant physiology; Soil water; Horticulture; Biology; Botany; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.03108624525344711,"gpt":0.2189672185586322,"spread":0.1878809733051851,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007063892,0.00007729932,0.000106856,0.000009103132,0.000102009,0.0000355431,0.00003767786,0.00002756879,0.00001073334],"category_scores_gemma":[0.000004982084,0.00002370094,0.00001518176,0.00003018661,0.00005458382,0.0000616902,0.00007202765,0.00002744086,2.653317e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004953032,"about_ca_system_score_gemma":6.817001e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002864613,"about_ca_topic_score_gemma":0.00008133285,"domain_scores_codex":[0.9995045,0.00002590993,0.0001426724,0.0001154949,0.0001112773,0.0001001344],"domain_scores_gemma":[0.9997953,0.00003613481,0.00006279754,0.00002789293,0.00002001331,0.0000579076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001844641,0.0002213373,0.6786224,0.0002288826,0.0001752353,0.000002699531,0.002534374,0.00002441778,0.309479,0.001583421,0.0002091519,0.006734644],"study_design_scores_gemma":[0.0002574016,0.0000608114,0.9201134,0.00002625909,0.00002417234,0.000001181154,0.001421464,0.0002589363,0.07696462,0.0007224787,0.00008018239,0.00006902999],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987232,0.0003848538,0.00000300102,0.0005725985,0.00003062663,0.0001130868,0.00001078576,0.000009337502,0.0001524741],"genre_scores_gemma":[0.999598,0.0002073872,0.000003961554,0.00002866468,0.00002497024,0.000007612296,0.00003063247,5.949156e-7,0.00009819816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.241491,"threshold_uncertainty_score":0.09664962,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2005273201","doi":"10.1111/jac.12117","title":"Genetic Variation for Salinity Tolerance in Pakistani Rice (<i>Oryza sativa</i> L.) Germplasm","year":2015,"lang":"en","type":"article","venue":"Journal of Agronomy and Crop Science","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Pakistan Agricultural Research Council; Higher Education Commision, Pakistan; Higher Education Commission, Pakistan","keywords":"Seedling; Germplasm; Germination; Salinity; Oryza sativa; Biology; Agronomy; Horticulture; Sowing; Hybrid; Genotype; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.0310172907648406,"gpt":0.2574758589427488,"spread":0.2264585681779082,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008730247,0.00006287861,0.0001101489,0.00002419959,0.000125278,0.0001030097,0.0001788659,0.00002712938,0.00001341508],"category_scores_gemma":[0.0001417414,0.00002568941,0.00002893224,0.0003169731,0.00009720222,0.0003963648,0.00002580625,0.00006835681,0.000001219371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004898492,"about_ca_system_score_gemma":0.00007038806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009345402,"about_ca_topic_score_gemma":0.00005115657,"domain_scores_codex":[0.9992036,0.00002595575,0.0002859487,0.0001309385,0.0002025635,0.0001509985],"domain_scores_gemma":[0.9992815,0.00009655175,0.0002252684,0.00002561179,0.0002468005,0.0001242932],"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":[0.0002988854,0.0003510053,0.0412868,0.00002317464,0.00001064074,0.000006596855,0.004235395,0.0004539387,0.8483828,0.00226386,0.001091044,0.1015959],"study_design_scores_gemma":[0.0005097432,0.0003950483,0.9882705,0.00002308073,0.000004583459,0.00001343132,0.001113644,0.0003116169,0.002795168,0.001650896,0.004812449,0.00009988891],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977052,0.0001303778,0.0006797049,0.0009109352,0.000147964,0.0001190819,0.000002201742,0.000003146334,0.0003013484],"genre_scores_gemma":[0.9969438,0.00002057939,0.002558892,0.0003016192,0.0001195374,0.000003481335,2.488331e-7,2.971001e-7,0.00005151811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9469836,"threshold_uncertainty_score":0.1047584,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2106320055","doi":"10.1071/ea04136","title":"Effect of raised beds, irrigation and nitrogen management on growth, water use and yield of rice in south-eastern Australia","year":2006,"lang":"en","type":"article","venue":"Australian Journal of Experimental Agriculture","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Optech (Canada)","funders":"Australian Centre for International Agricultural Research; Rural Industries Research and Development Corporation","keywords":"Irrigation; Agronomy; Environmental science; Surface irrigation; Productivity; Drip irrigation; Water-use efficiency; Water use; Yield (engineering); Cropping; Loam; Crop; Cropping system; Soil water; Agriculture; Biology; Soil science; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.02215595034868042,"gpt":0.2386269638581488,"spread":0.2164710135094684,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001646385,0.0001508153,0.000229575,0.00003143475,0.0000351684,0.00003646126,0.00009082715,0.00007761932,0.00006984443],"category_scores_gemma":[0.000007683968,0.00005001167,0.00007453056,0.0001176265,0.0000471647,0.0002099737,0.00003033818,0.0001042359,0.000001370415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001899744,"about_ca_system_score_gemma":7.939682e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002406869,"about_ca_topic_score_gemma":0.0000117116,"domain_scores_codex":[0.9990216,0.00006791914,0.0004075016,0.000139513,0.0002138147,0.0001496459],"domain_scores_gemma":[0.9995649,0.00005080217,0.0002377342,0.00002728752,0.00005730647,0.00006197285],"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":[0.0001565915,0.0001409614,0.03503224,0.00003623427,0.00002572417,0.000008905593,0.0003255281,0.000003609003,0.9636406,0.0001106538,0.0003587274,0.0001602569],"study_design_scores_gemma":[0.0005984592,0.001164114,0.2179125,0.0001070889,0.00001853665,0.00001034708,0.0009073485,4.527686e-7,0.7790786,0.00005082205,0.00006478148,0.00008693623],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992751,0.00005212406,3.262218e-7,0.0002527861,0.00005394452,0.0002361244,0.00001027718,0.000003207912,0.0001160331],"genre_scores_gemma":[0.9994323,0.000004983491,0.00004594101,0.0000284379,0.00006451346,0.000004310729,0.00001615258,9.046207e-7,0.0004024507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.184562,"threshold_uncertainty_score":0.2039417,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2901098470","doi":"10.1371/journal.pone.0207627","title":"Description of grain weight distribution leading to genomic selection for grain-filling characteristics in rice","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Precursory Research for Embryonic Science and Technology; Institute of Genetics; Bio-oriented Technology Research Advancement Institution; Council for Science, Technology and Innovation; National Agriculture and Food Research Organization","keywords":"Panicle; Grain size; Oryza sativa; Grain yield; Agronomy; Materials science; Mathematics; Biology; Composite material; Genetics","retraction":null,"screen_n_in":null,"score":{"opus":0.06667307861302556,"gpt":0.2328088969166417,"spread":0.1661358183036162,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001790986,0.00005780985,0.0001105121,0.00001185754,0.00008622826,0.00001956946,0.00005715741,0.00004058212,0.00003783405],"category_scores_gemma":[0.0001304803,0.00002902402,0.0000235879,0.0002392027,0.00001330111,0.0000712012,0.00001360389,0.00003659405,0.00001181427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007065105,"about_ca_system_score_gemma":0.00000348023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006741616,"about_ca_topic_score_gemma":0.0001805738,"domain_scores_codex":[0.9994234,0.0000187454,0.0001952567,0.0001361909,0.00009009001,0.0001363017],"domain_scores_gemma":[0.9996945,0.00003532018,0.00008280268,0.00001986451,0.0001346402,0.00003292021],"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":[0.00003269099,0.0002036877,0.0122508,0.00001549322,0.000007144105,2.076663e-8,0.00009473797,1.71347e-7,0.9822544,0.0001461074,0.0001165044,0.004878254],"study_design_scores_gemma":[0.0001812647,0.0006448007,0.5683368,0.00009441944,0.00001820162,1.80206e-7,0.0001133777,0.001353387,0.4274395,0.0002174172,0.00147026,0.0001303765],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977423,0.000004861216,0.001160309,0.0005743552,0.00006147693,0.0003446689,0.00004612669,0.00001888168,0.00004700429],"genre_scores_gemma":[0.9984803,0.00001056611,0.0006478936,0.0001340196,0.0002604268,0.00003456355,0.0001593706,7.04063e-7,0.0002721603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.556086,"threshold_uncertainty_score":0.1183565,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2165095832","doi":"10.1111/j.1365-3040.2011.02397.x","title":"Gene discovery in cereals through quantitative trait loci and expression analysis in water‐use efficiency measured by carbon isotope discrimination","year":2011,"lang":"en","type":"review","venue":"Plant Cell & Environment","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Alberta Innovates; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Water-use efficiency; Biology; Quantitative trait locus; Trait; Transpiration; Agronomy; Candidate gene; Plant breeding; Drought tolerance; Biotechnology; Arid; Genetics; Gene; Ecology; Photosynthesis; Botany; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.06687602421946141,"gpt":0.2449401968901337,"spread":0.1780641726706723,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000267957,0.0003301748,0.0007484889,0.00005638944,0.00005793223,0.00006262293,0.0001732077,0.0001807921,0.000106138],"category_scores_gemma":[0.000009569014,0.0001191716,0.000152314,0.0002071811,0.00004519573,0.0002038106,0.00009725392,0.0001729131,0.000005258869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001344852,"about_ca_system_score_gemma":0.000004399077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001928649,"about_ca_topic_score_gemma":0.000387575,"domain_scores_codex":[0.9980202,0.0002526417,0.0005731081,0.000606683,0.0002465341,0.0003008222],"domain_scores_gemma":[0.9994916,0.000127873,0.000228397,0.00009272498,0.000004444305,0.00005493464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001372509,0.00402903,0.002643458,0.002229997,0.0003238219,0.00004283748,0.008503516,0.0001702123,0.5344203,0.00009596015,0.0002050882,0.4471986],"study_design_scores_gemma":[0.001743168,0.001548768,0.03247172,0.004159773,0.002832226,0.000006559177,0.003235921,0.0004247607,0.09430023,0.0001495744,0.8552086,0.00391874],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.4103254,0.5872583,0.00006106856,0.00005247839,0.00005447384,0.001486741,0.0005217854,0.00001586617,0.00022389],"genre_scores_gemma":[0.07148332,0.9254444,0.0000643275,0.00002405627,0.0000151576,0.0001292113,0.002514977,0.000002903057,0.0003216885],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8550035,"threshold_uncertainty_score":0.4859677,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3107122797","doi":"10.1021/acs.jafc.0c04748","title":"Transcription Factors <i>Rc</i> and <i>OsVP</i>1 Coordinately Regulate Preharvest Sprouting Tolerance in Red Pericarp Rice","year":2020,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Ministry of Science and Technology of the People's Republic of China; Chinese Academy of Sciences","keywords":"Preharvest; Sprouting; Transcription factor; Transcription (linguistics); Biology; Chemistry; Botany; Cell biology; Agronomy; Gene; Genetics; Postharvest","retraction":null,"screen_n_in":null,"score":{"opus":0.02046067060031511,"gpt":0.1899018641917517,"spread":0.1694411935914366,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007685124,0.0001429197,0.0002209901,0.000003752202,0.00008584582,0.00007805906,0.0001020914,0.00008177518,0.00002223922],"category_scores_gemma":[0.000036777,0.00005065888,0.00006971892,0.0002051097,0.00003185402,0.0002712981,0.00002612248,0.0002213987,2.156767e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001623182,"about_ca_system_score_gemma":0.000003742501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001152509,"about_ca_topic_score_gemma":0.000005649817,"domain_scores_codex":[0.999147,0.00002016684,0.0003504288,0.0001733668,0.0001534533,0.0001556147],"domain_scores_gemma":[0.9994788,0.00003592053,0.0002299948,0.00001603986,0.00008335795,0.0001559459],"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":[0.00002899632,0.00003314953,0.005095268,0.00004392696,0.00001148222,0.000001348566,0.0004598915,0.000007080098,0.9919834,0.000003113751,0.0001534306,0.002178983],"study_design_scores_gemma":[0.0004831988,0.0004047664,0.7662773,0.00007411184,0.00001671648,0.00003876977,0.003252423,0.00001334655,0.2276944,0.00001290287,0.001556313,0.0001757525],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932505,0.0004523259,9.51979e-7,0.005888303,0.00003623589,0.00008094676,0.00000851473,0.00001245193,0.0002697939],"genre_scores_gemma":[0.9992633,0.0001521936,0.00003633055,0.0002330575,0.0002130686,0.00000145456,0.00000948563,7.436389e-7,0.00009032248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.764289,"threshold_uncertainty_score":0.2065809,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2617804603","doi":"10.30635/2415-0142.2016.02.3","title":"Biofertilizer as a Supplement of Chemical Fertilizer for Yield Maximization of Rice","year":2018,"lang":"en","type":"article","venue":"Journal of Agriculture Food and Development","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Biofertilizer; Panicle; Fertilizer; Agronomy; Yield (engineering); Crop; Crop yield; Mathematics; Horticulture; Biology; Materials science","retraction":null,"screen_n_in":null,"score":{"opus":0.02768794697280616,"gpt":0.2326495460011312,"spread":0.204961599028325,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001831476,0.000102335,0.0002114867,0.00001794098,0.00005124839,0.00001376892,0.0001093814,0.00007293183,0.0001428975],"category_scores_gemma":[0.00008422044,0.00003421449,0.0000695316,0.0001497924,0.00003531742,0.00007610997,0.00003622224,0.00004960323,8.002351e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000185552,"about_ca_system_score_gemma":0.00002567103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006792515,"about_ca_topic_score_gemma":0.00001520144,"domain_scores_codex":[0.9989846,0.00001194048,0.0005372971,0.0001078504,0.000236081,0.0001221819],"domain_scores_gemma":[0.9988614,0.00007280508,0.0004030641,0.00002268775,0.0005670767,0.0000729769],"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":[0.000191959,0.000183797,0.0005206927,0.00003658981,0.00006106496,1.689946e-7,0.0004989166,2.155755e-7,0.9860154,0.0001288566,0.004683828,0.007678475],"study_design_scores_gemma":[0.0004494384,0.001535745,0.03192496,0.0000739652,0.00001938916,0.000009526585,0.0007924625,0.00000162805,0.9291065,0.0001322576,0.03585441,0.00009972801],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997507,0.0001442319,0.0001544424,0.001727292,0.000112877,0.0002115207,0.00001138258,0.000004058081,0.0001271936],"genre_scores_gemma":[0.9965327,0.00002211652,0.002986236,0.0001832505,0.000142642,0.000006024111,0.0000151782,6.659316e-7,0.0001111531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05690894,"threshold_uncertainty_score":0.1564628,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4297963766","doi":"10.1016/j.agsy.2022.103528","title":"Modeling CH4 and N2O emissions for continuous and noncontinuous flooding rice systems","year":2022,"lang":"en","type":"article","venue":"Agricultural Systems","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":38,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Science and Technology Department of Zhejiang Province; Science and Technology Program of Zhejiang Province; National Key Research and Development Program of China; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Flooding (psychology); Environmental science; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.02345433973873177,"gpt":0.2117007386903389,"spread":0.1882463989516071,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003268077,0.0001865868,0.0002920665,0.0000126702,0.0009466985,0.0002276831,0.0001474166,0.00006268017,0.00001186602],"category_scores_gemma":[0.0000428857,0.00006817733,0.0000627003,0.0001971096,0.00001665491,0.0001531038,0.0001420797,0.0001280175,0.000001145639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005510401,"about_ca_system_score_gemma":0.000004424759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001117959,"about_ca_topic_score_gemma":0.00002619388,"domain_scores_codex":[0.9986183,0.00009320099,0.0003587829,0.000380709,0.000235497,0.0003135292],"domain_scores_gemma":[0.9993985,0.000157815,0.0001371645,0.00004509803,0.0001149498,0.000146426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003900211,0.0001120528,0.00154005,0.0001434234,0.00007595641,0.000004159483,0.0006023126,0.001862107,0.9812737,0.001994787,0.005375754,0.006976706],"study_design_scores_gemma":[0.005268835,0.004116314,0.1207538,0.0006458159,0.0003834739,0.001269827,0.2965119,0.2909568,0.001923402,0.000155486,0.2739435,0.004070822],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944702,0.002328156,0.00004056462,0.0007356426,0.0006572537,0.001144598,0.00008975538,0.00009925244,0.0004345413],"genre_scores_gemma":[0.9963472,0.00004667162,0.00002306885,0.00004780769,0.0003931125,0.0004365956,0.0001716218,0.000001735301,0.002532122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9793503,"threshold_uncertainty_score":0.7281336,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3043921160","doi":"10.1007/s10705-020-10086-6","title":"Increasing nitrogen use efficiency in rice through fertilizer application method under rainfed drought conditions in Nepal","year":2020,"lang":"en","type":"article","venue":"Nutrient Cycling in Agroecosystems","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":38,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"United States Agency for International Development","keywords":"Agronomy; Urea; Fertilizer; Oryza sativa; Nitrogen; Field experiment; Mathematics; Nutrient; Yield (engineering); Biology; Chemistry; Materials science","retraction":null,"screen_n_in":null,"score":{"opus":0.04673318521900659,"gpt":0.2876910308839151,"spread":0.2409578456649085,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006023067,0.0001833698,0.0003021924,0.00004678874,0.0001047666,0.00009231338,0.0002137795,0.0001363297,0.00003799967],"category_scores_gemma":[0.0002608216,0.00009714734,0.00007370675,0.00127603,0.00001965129,0.0003269841,0.00005955784,0.0002409373,0.00002863725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001451117,"about_ca_system_score_gemma":0.00001456424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002986834,"about_ca_topic_score_gemma":0.001950997,"domain_scores_codex":[0.9978129,0.0003648571,0.000714765,0.0004966539,0.0002522206,0.0003586056],"domain_scores_gemma":[0.9989241,0.0006681252,0.0001881519,0.00007880598,0.00005154297,0.0000892873],"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":[0.0001420646,0.0006525193,0.2835957,0.00005988438,0.00001049513,0.000009266553,0.001827874,0.001475644,0.708094,0.002606566,0.00006717139,0.00145877],"study_design_scores_gemma":[0.005135268,0.0004156439,0.8638644,0.0005609828,0.00002708787,0.00001817849,0.01102713,0.06855626,0.02910245,0.005257586,0.01477578,0.001259199],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937729,0.00009479657,0.002539297,0.002107678,0.0001007314,0.0009690183,0.00001823604,0.00006608204,0.0003312661],"genre_scores_gemma":[0.9976515,0.00003296972,0.0006396674,0.001274736,0.0001105336,0.0001574631,0.0001183581,0.000002647208,0.00001213594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6789916,"threshold_uncertainty_score":0.451522,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1887904159","doi":"10.1007/s11032-015-0322-5","title":"Variation in primary metabolites in parental and near-isogenic lines of the QTL qDTY 12.1 : altered roots and flag leaves but similar spikelets of rice under drought","year":2015,"lang":"en","type":"article","venue":"Molecular Breeding","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung; Institute of Genetics; Bundesministerium für Wirtschaftliche Zusammenarbeit und Entwicklung; Leibniz-Gemeinschaft; Deutsche Gesellschaft für Internationale Zusammenarbeit; Bill and Melinda Gates Foundation","keywords":"Biology; Quantitative trait locus; Primary metabolite; Drought tolerance; Polygene; Genetic variation; Gene; Plant physiology; Metabolomics; Agronomy; Horticulture; Botany; Genetics; Metabolite; Bioinformatics","retraction":null,"screen_n_in":null,"score":{"opus":0.02720210247861182,"gpt":0.2217097813780484,"spread":0.1945076788994366,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002241299,0.00007881093,0.0001396822,0.000015311,0.00003058154,0.00002303849,0.00008168529,0.00004676992,0.000003776375],"category_scores_gemma":[0.00007803465,0.00003346108,0.00002897085,0.0001962712,0.00004408198,0.00009313131,0.00009307361,0.0000571923,1.328112e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001732829,"about_ca_system_score_gemma":0.00001004639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004757465,"about_ca_topic_score_gemma":0.0001258574,"domain_scores_codex":[0.9993183,0.00005776491,0.0002172269,0.000149872,0.0001503289,0.0001064918],"domain_scores_gemma":[0.999745,0.00004484663,0.0001035186,0.00003545213,0.00003891114,0.00003228788],"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":[0.00001212381,0.00003909992,0.04964401,0.00001470792,0.000006189287,4.590723e-7,0.0002548925,0.00003344991,0.9479283,0.00008894648,0.000005313264,0.001972503],"study_design_scores_gemma":[0.0003170976,0.00006521561,0.9348717,0.00002982716,0.000008353742,0.000001553638,0.0004280605,0.0004284223,0.06335616,0.0003733374,0.00005345438,0.00006686555],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983512,0.000518956,0.00002552337,0.0007680045,0.00004933324,0.0001654396,0.000005364117,0.000004546464,0.0001116742],"genre_scores_gemma":[0.9995297,0.00002778127,0.0002086668,0.0001809472,0.00002418518,0.000004457543,0.000005643426,8.512949e-7,0.00001775671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8852276,"threshold_uncertainty_score":0.1364503,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3033961170","doi":"10.1016/j.jplph.2020.153191","title":"Higher nitrogen use efficiency (NUE) in hybrid “super rice” links to improved morphological and physiological traits in seedling roots","year":2020,"lang":"en","type":"article","venue":"Journal of Plant Physiology","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":37,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Aerenchyma; Seedling; Biology; Nitrogen; Agronomy; Ammonium; Oryza sativa; Horticulture; Botany; Chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.04640828709932335,"gpt":0.2361051607279798,"spread":0.1896968736286564,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000186899,0.0001584119,0.0004002196,0.00003407099,0.00004361825,0.00002806844,0.0002169932,0.0001541387,0.0001078676],"category_scores_gemma":[0.0001844267,0.00006148079,0.00007958275,0.000260084,0.00004390356,0.000141476,0.00009374347,0.0004956491,0.000007108336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002660603,"about_ca_system_score_gemma":0.00001120061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000512027,"about_ca_topic_score_gemma":0.00001999498,"domain_scores_codex":[0.9986545,0.0001390861,0.0004991055,0.0002834567,0.0001199274,0.0003039605],"domain_scores_gemma":[0.9993399,0.0002351139,0.0001665984,0.00002578998,0.00005260731,0.0001799714],"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":[0.0002679318,0.0001636178,0.00321022,0.00000507021,0.000007244729,0.00005650165,0.000111799,0.0001148451,0.9943056,0.00001959036,0.0002849696,0.001452649],"study_design_scores_gemma":[0.0006487914,0.001520831,0.990271,0.00002394544,0.000005578685,0.00003471437,0.0001691966,0.0004868228,0.005237093,0.0001898019,0.001241378,0.0001708928],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960015,0.00006257141,0.000006757979,0.003600104,0.00008836823,0.0001851567,0.00003200713,0.00001066061,0.00001289576],"genre_scores_gemma":[0.995187,0.00005172287,0.0001477239,0.004306882,0.0002767896,0.000005075234,0.00001518981,0.000001096003,0.000008487069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9890684,"threshold_uncertainty_score":0.2507114,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2043480105","doi":"10.1270/jsbbs.64.199","title":"Effect of quantitative trait loci for seed shattering on abscission layer formation in Asian wild rice &lt;i&gt;Oryza rufipogon&lt;/i&gt;","year":2014,"lang":"en","type":"article","venue":"Breeding Science","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Institute of Genetics; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Oryza rufipogon; Biology; Abscission; Trait; Oryza sativa; Oryza; Botany; Quantitative trait locus; Agronomy; Genetics; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.03023661557652171,"gpt":0.2727455135553512,"spread":0.2425088979788295,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001578754,0.0001308362,0.0001756936,0.00007252664,0.0002741647,0.00008308188,0.000331381,0.00005409274,0.00001853288],"category_scores_gemma":[0.0005157437,0.00005603998,0.00006135798,0.0007033558,0.0001181776,0.0005393719,0.00005060498,0.00006694796,0.000007811072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006572581,"about_ca_system_score_gemma":0.000007404569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002141075,"about_ca_topic_score_gemma":0.00006170322,"domain_scores_codex":[0.9986669,0.00005170804,0.0002801697,0.0003115621,0.0003851525,0.0003044991],"domain_scores_gemma":[0.9991966,0.0003947927,0.0001785542,0.00005545242,0.00009536683,0.00007925177],"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":[0.00005001996,0.0000304444,0.0002954762,0.00002944732,0.000001111185,1.128758e-7,0.0003932547,0.00004196627,0.9507186,0.002248591,0.0001007673,0.04609023],"study_design_scores_gemma":[0.001079205,0.005297413,0.4300684,0.0003841917,0.00001137594,0.000003195122,0.0005438954,0.02643823,0.5304248,0.0002967538,0.005048925,0.0004035979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948741,0.000008509716,0.0006788363,0.001094769,0.0001707802,0.0004465112,0.000006497356,0.00003190731,0.002688152],"genre_scores_gemma":[0.9992668,0.000002561677,0.0003493314,0.0001812212,0.00005746072,0.00003220017,0.000009166369,0.000001133853,0.0001001427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4297729,"threshold_uncertainty_score":0.2285244,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4233959788","doi":"10.1007/s10722-006-9103-7","title":"Changes of Sorghum bicolor landrace diversity and farmers’ selection criteria over space and time, Ethiopia","year":2007,"lang":"en","type":"article","venue":"Genetic Resources and Crop Evolution","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":36,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"Sorghum; Biology; Agriculture; Crop; Cropping; Generalist and specialist species; Agronomy; Species richness; Population; Agroforestry; Geography; Ecology; Habitat; Demography","retraction":null,"screen_n_in":null,"score":{"opus":0.01410726616831279,"gpt":0.2191081556626426,"spread":0.2050008894943298,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001590389,0.00006822096,0.00008173556,0.0000158473,0.0003476747,0.00002355864,0.00003039332,0.00006715495,0.00007677584],"category_scores_gemma":[0.00001058583,0.00003237324,0.00001215191,0.000099791,0.00006897901,0.00003490333,0.0001204075,0.00004037195,6.892492e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001044393,"about_ca_system_score_gemma":0.000001164831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008050296,"about_ca_topic_score_gemma":0.00044751,"domain_scores_codex":[0.9995164,0.00002599882,0.0000845661,0.0001576698,0.00009494504,0.0001204098],"domain_scores_gemma":[0.9997921,0.00003629338,0.00006392898,0.00001812722,0.00003611236,0.00005343646],"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":[0.00006059874,0.00002311349,0.225868,0.00001755219,0.000009800392,2.970448e-7,0.001010697,7.255733e-7,0.7504814,0.00007618334,0.000178449,0.02227321],"study_design_scores_gemma":[0.0001638118,0.000294879,0.9914091,0.000009872066,0.00001396196,0.000003439762,0.0006919678,0.0002214845,0.002156439,0.00008928936,0.004871846,0.00007389091],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985884,0.0005105251,0.00006041329,0.000486291,0.00002692842,0.0001163828,0.000004526129,0.00001254416,0.0001939731],"genre_scores_gemma":[0.9990216,0.0001727998,0.00009921854,0.00008633847,0.00006757566,0.000001091228,0.000002700746,4.985295e-7,0.0005482096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7655411,"threshold_uncertainty_score":0.2674068,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3138852962","doi":"10.1007/s10705-021-10129-6","title":"Real-time nitrogen management using decision support-tools increases nitrogen use efficiency of rice","year":2021,"lang":"en","type":"article","venue":"Nutrient Cycling in Agroecosystems","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"United States Agency for International Development","keywords":"Fertilizer; Nitrogen; Agronomy; Randomized block design; Oryza sativa; Mathematics; Field experiment; Chemistry; Environmental science; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.03537118088634723,"gpt":0.2559916372996519,"spread":0.2206204564133046,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005197364,0.0002025702,0.000370787,0.00006211091,0.000135134,0.0001275858,0.0002551831,0.0001062527,0.0002431267],"category_scores_gemma":[0.0001957077,0.00010155,0.0001587762,0.000840536,0.00002282173,0.0002487046,0.0001659801,0.00009423713,0.00004158298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001234678,"about_ca_system_score_gemma":0.00002031034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001013535,"about_ca_topic_score_gemma":0.00009684849,"domain_scores_codex":[0.9976543,0.0001674181,0.0008389654,0.0004757859,0.0004866453,0.0003769404],"domain_scores_gemma":[0.9986289,0.0005798661,0.0003219082,0.0001631564,0.0001882537,0.0001178987],"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":[0.00006809967,0.0008524098,0.05806372,0.00009813037,0.00003964422,0.00006180662,0.00009203234,0.0001041378,0.9350457,0.0002519196,0.0001806611,0.005141751],"study_design_scores_gemma":[0.005686598,0.001164967,0.1849566,0.002976513,0.0002820102,0.0001383795,0.007805926,0.01246339,0.763854,0.00321313,0.01524292,0.002215534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982749,0.0000947055,0.0001059655,0.00004073486,0.0001903594,0.0005303434,0.00006061445,0.00005259565,0.0006498464],"genre_scores_gemma":[0.9979817,0.0001946863,0.001369931,0.00007303876,0.00009591506,0.00002452555,0.0001470992,0.000003074855,0.0001100054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1711916,"threshold_uncertainty_score":0.4141091,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2151089748","doi":"10.5539/jas.v5n2p253","title":"Precision nitrogen management using chlorophyll meter for Improving Growth, Productivity and N Use Efficiency of Rice in Subtropical Climate","year":2013,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Indian Council of Agricultural Research","keywords":"Productivity; Fertilizer; Subtropics; Environmental science; Field experiment; System of Rice Intensification; Agronomy; Mathematics; Crop; Grain yield; Yield (engineering); Biology; Agriculture; Materials science","retraction":null,"screen_n_in":null,"score":{"opus":0.02232482244514001,"gpt":0.2343543615236508,"spread":0.2120295390785108,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005962951,0.0001082915,0.0001875398,0.00004828276,0.0001643349,0.0001457962,0.0002675118,0.0000337975,0.000009716568],"category_scores_gemma":[0.0002244597,0.00003484436,0.00007168329,0.0006673936,0.0001174258,0.001267598,0.0001299595,0.00008651076,5.832351e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006823832,"about_ca_system_score_gemma":0.00000921199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000253913,"about_ca_topic_score_gemma":0.00001892496,"domain_scores_codex":[0.9986221,0.00003307183,0.0004317697,0.000232153,0.00039541,0.0002854488],"domain_scores_gemma":[0.9988729,0.0001171781,0.0003748534,0.00003672358,0.0005002128,0.00009808392],"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":[0.00001935615,0.0001002868,0.01280048,0.00002658826,0.000003169733,4.781288e-7,0.00008416976,0.00001013049,0.9780781,0.00007837697,0.000008667264,0.008790194],"study_design_scores_gemma":[0.0002150255,0.0003633137,0.9063914,0.00003631649,0.0000124339,0.00001613609,0.0005747681,0.0001542743,0.09198919,0.0001386679,0.00001184798,0.00009660121],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988384,0.00003725845,0.00005933151,0.0004395481,0.0001173993,0.0004827097,0.000002831687,0.000004300191,0.00001822232],"genre_scores_gemma":[0.9965556,0.00002062711,0.003301768,0.00003008374,0.00007276796,0.000006046884,6.618607e-7,4.948181e-7,0.00001197371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8935909,"threshold_uncertainty_score":0.1420912,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4230617315","doi":"10.1007/978-1-4020-4399-4_43","title":"Universal Soil Loss Equation (USLE)","year":2013,"lang":"en","type":"book-chapter","venue":"Encyclopedia of earth sciences series/Encyclopedia of earth sciences","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Universal Soil Loss Equation; Soil loss; Environmental science; Mathematics; Soil science; Biology; Ecology; Surface runoff","retraction":null,"screen_n_in":null,"score":{"opus":0.02754704761978151,"gpt":0.2210270202954018,"spread":0.1934799726756203,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001338393,0.0007663807,0.000996626,0.0002721152,0.0008740539,0.0001862562,0.001877624,0.0004778954,0.01107831],"category_scores_gemma":[0.0002702978,0.000388442,0.0004193242,0.001088844,0.003887421,0.001941373,0.0004284689,0.0004449721,0.0003248201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001192059,"about_ca_system_score_gemma":0.0005242518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007961578,"about_ca_topic_score_gemma":0.002457055,"domain_scores_codex":[0.993803,0.0001083828,0.001510384,0.001377369,0.00226302,0.0009378288],"domain_scores_gemma":[0.9964077,0.0005960108,0.001737686,0.0002958087,0.0006035407,0.0003591866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003594689,0.001183875,0.04873048,0.0007938117,0.0004085061,0.00007509234,0.004627497,0.001892,0.03399948,0.6321613,0.01481551,0.260953],"study_design_scores_gemma":[0.0006012156,0.004664565,0.03699768,0.0006195719,0.000131635,0.00002458346,0.002004224,0.0003742554,0.002549053,0.01635898,0.9336402,0.002034091],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1308012,0.000543888,0.00001658732,0.001335682,0.001364346,0.0009190189,0.0001554058,0.00009555993,0.8647683],"genre_scores_gemma":[0.1071206,0.02019758,0.004404142,0.0004403657,0.001491816,0.00005009628,0.0001907752,0.00001898534,0.8660856],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9188246,"threshold_uncertainty_score":0.9998568,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2407108091","doi":"10.1016/s2095-3119(15)61082-6","title":"Suitable growing zone and yield potential for late-maturity type of Yongyou japonica/indica hybrid rice in the lower reaches of Yangtze River, China","year":2016,"lang":"en","type":"article","venue":"Journal of Integrative Agriculture","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Japonica; Japonica rice; Maturity (psychological); Yangtze river; Horticulture; Biology; Yield (engineering); Grain yield; Agronomy; China; Botany; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.01723977621816215,"gpt":0.2325926757196451,"spread":0.215352899501483,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004675312,0.0001273575,0.000277599,0.00002036251,0.00006644841,0.00002016376,0.0002383847,0.00007231224,0.00005299844],"category_scores_gemma":[0.0004336758,0.00002739042,0.0001464376,0.0002260559,0.00008049467,0.0002921328,0.00003162067,0.0001983958,5.134714e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002277633,"about_ca_system_score_gemma":0.00001294128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001558548,"about_ca_topic_score_gemma":0.0001075868,"domain_scores_codex":[0.9990311,0.00008418708,0.0004013071,0.000117846,0.0002238476,0.0001417498],"domain_scores_gemma":[0.9986791,0.0004030397,0.0004860577,0.00003747635,0.0003526217,0.00004171137],"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":[0.0001915009,0.0002696699,0.000895096,0.00001246147,0.00004608131,0.000003845374,0.0008351714,0.000001683727,0.9876139,0.0003236901,0.003438639,0.006368249],"study_design_scores_gemma":[0.0009834545,0.00345568,0.7187402,0.0006279313,0.0000837378,0.0000554275,0.007328732,0.000008117754,0.2632445,0.001320114,0.003918641,0.0002334621],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957407,0.0003082241,0.00008445491,0.003302119,0.0001302147,0.0001982984,0.00004049127,0.000002789971,0.0001927356],"genre_scores_gemma":[0.9988675,0.0002312404,0.0002711327,0.0001075317,0.0001305893,0.000003028047,0.00000543784,6.842981e-7,0.0003828469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7243693,"threshold_uncertainty_score":0.1116949,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2128830543","doi":"10.1139/g01-019","title":"Analysis of random and specific sequences of nuclear and cytoplasmic DNA in diploid and tetraploid American wild rice species (<i>Oryza</i>spp.)","year":2001,"lang":"en","type":"article","venue":"Genome","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Biology; Ploidy; Oryza; Oryza sativa; Nuclear DNA; Genetics; DNA; Gene; Mitochondrial DNA","retraction":null,"screen_n_in":null,"score":{"opus":0.01643773106436258,"gpt":0.2036491505857909,"spread":0.1872114195214283,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001381131,0.00009131835,0.0002986613,0.00006046674,0.00005288506,0.00002507875,0.00007366138,0.00002667418,0.0001384592],"category_scores_gemma":[0.00001356845,0.00004108531,0.00003908586,0.0006976951,0.0002400075,0.00007615957,0.00004201397,0.00004711354,8.36063e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008311001,"about_ca_system_score_gemma":0.000002078541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003488705,"about_ca_topic_score_gemma":0.0003502629,"domain_scores_codex":[0.9992873,0.00003517134,0.0002319293,0.0002063632,0.000110597,0.000128619],"domain_scores_gemma":[0.9996361,0.0001160658,0.0001286672,0.0000404706,0.00002681397,0.00005190112],"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":[0.0000501713,0.00003469749,0.06085344,0.00000654433,0.00003688805,0.000001225571,0.0003664231,0.000004014755,0.9354811,0.0000509729,0.00000328987,0.003111184],"study_design_scores_gemma":[0.0002873296,0.0001844094,0.9912413,0.000006395611,0.00003628998,0.00000201813,0.002119719,0.00001814077,0.001553067,0.00002783355,0.004431857,0.0000916831],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998202,0.0006282532,0.000001464648,0.0004321546,0.00001063065,0.0001075446,0.00002379598,0.000008169653,0.0005859329],"genre_scores_gemma":[0.9959008,0.003804575,0.00005567111,0.00011525,0.00002013931,0.000002076232,0.000007987565,7.041616e-7,0.00009280384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9339281,"threshold_uncertainty_score":0.167541,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2972188626","doi":"10.2134/agronj2018.10.0691","title":"Integrated Water and Nitrogen Management Practices to Enhance Yield and Environmental Goals in Rice–Ratoon Rice Systems","year":2019,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ministry of Agriculture","funders":"National Key Research and Development Program of China","keywords":"Agronomy; Oryza sativa; Fertilizer; TILLING; Crop; Mathematics; Yield (engineering); Paddy field; Grain yield; Biology; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01466359912820892,"gpt":0.221595021114163,"spread":0.206931421985954,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029636,0.0001044808,0.0001176665,0.00002285547,0.00008829006,0.0001757092,0.00009403187,0.00003837769,0.0002089996],"category_scores_gemma":[0.000008324122,0.0000377978,0.00001906522,0.00006700942,0.00001267359,0.0002989661,0.00007546302,0.0001296123,0.00004998327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004280749,"about_ca_system_score_gemma":0.000001937161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001563064,"about_ca_topic_score_gemma":0.00002985917,"domain_scores_codex":[0.9992255,0.00004500532,0.0002151689,0.0001991784,0.0001170831,0.000198055],"domain_scores_gemma":[0.9996714,0.00005945784,0.0001258246,0.0000320039,0.00001069917,0.000100597],"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":[0.00004646525,0.0000869352,0.06162893,0.00001819121,0.00003868096,0.000009845789,0.0003778184,0.000005101464,0.9066635,0.00002965068,0.0005211419,0.03057378],"study_design_scores_gemma":[0.0008065618,0.0009555679,0.7933944,0.0002891245,0.00004813787,0.0001481436,0.02956526,0.000146062,0.06626366,0.0001865681,0.1074561,0.0007403295],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969525,0.0003839751,0.000009129222,0.001163751,0.00008974821,0.0003367633,0.000003077368,0.000006603002,0.001054474],"genre_scores_gemma":[0.9981411,0.0002350068,0.00009099355,0.0003776042,0.00005652277,0.00001526023,0.00001023329,7.993037e-7,0.001072455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8403998,"threshold_uncertainty_score":0.2288399,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2058516104","doi":"10.5539/jas.v6n5p110","title":"Agronomic and Ecological Evaluation on Growing Water-Saving and Drought-Resistant Rice (Oryza sativa L.) Through Drip Irrigation","year":2014,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Shanghai City Youth Science and Technology Star Project","keywords":"Agronomy; Drip irrigation; Irrigation; Environmental science; Oryza sativa; Paddy field; Fertilizer; Yield (engineering); Biology; Materials science","retraction":null,"screen_n_in":null,"score":{"opus":0.02485248680222015,"gpt":0.2468865974025951,"spread":0.2220341106003749,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001484641,0.0001311146,0.0001699921,0.00002073282,0.0005181599,0.0002307715,0.0001996979,0.00005381371,0.00004956001],"category_scores_gemma":[0.0002778131,0.00003681203,0.00004890505,0.0002535092,0.0001532942,0.00117863,0.0000733417,0.0001424649,0.000004571383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001236063,"about_ca_system_score_gemma":0.0000116167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004051036,"about_ca_topic_score_gemma":0.00002791105,"domain_scores_codex":[0.9984705,0.0001157165,0.0003536931,0.0002536055,0.0005568966,0.0002495331],"domain_scores_gemma":[0.9991175,0.0001891767,0.0002632292,0.00003232896,0.0002745336,0.0001232622],"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":[0.00001326599,0.00003724515,0.0004525648,0.000003250177,0.000003800422,3.285024e-7,0.000302296,0.00004613627,0.9835402,0.0009673301,0.00005394506,0.01457958],"study_design_scores_gemma":[0.0002554868,0.0007006976,0.9644116,0.00004285342,0.00001718217,0.00001784226,0.001078787,0.0001791522,0.03158626,0.001103917,0.0004750358,0.0001312501],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940689,0.00003834473,0.00001051443,0.00452989,0.0001940321,0.0001691311,6.304163e-7,0.00001083517,0.0009777131],"genre_scores_gemma":[0.999013,0.00002430129,0.0002648939,0.0004172052,0.0002344522,0.000003350635,0.00000308531,4.682692e-7,0.00003923484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.963959,"threshold_uncertainty_score":0.3985319,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}