{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":217,"total_is_capped":false,"direct_labels_cover":1,"predictions_cover":217,"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":"8ee13e971fea","filters":{"venue":"Agriculture"}},"results":[{"id":"W2999455084","doi":"10.3390/agriculture10010016","title":"Methods for Management of Soilborne Diseases in Crop Production","year":2020,"lang":"en","type":"article","venue":"Agriculture","topic":"Plant Disease Management Techniques","field":"Agricultural and Biological Sciences","cited_by":443,"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; Southern SARE; U.S. Department of Agriculture","keywords":"Nutrient management; Agronomy; Soil solarization; Soil fertility; Crop rotation; Environmental science; Crop yield; Biology; Agroforestry; Crop; Agriculture; Soil water","retraction":null,"screen_n_in":null,"score":{"opus":0.02769289139172568,"gpt":0.2831867439491873,"spread":0.2554938525574616,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009323372,0.0001020155,0.0001467638,0.000006933879,0.0000369761,0.00001550038,0.0001835488,0.00004081467,0.0000298714],"category_scores_gemma":[0.00003478626,0.0000347628,0.0000787969,0.0004178217,0.00001625835,0.00008721262,0.0000688535,0.00004064454,0.000002588185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001123557,"about_ca_system_score_gemma":0.000001185855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001535613,"about_ca_topic_score_gemma":0.00001861853,"domain_scores_codex":[0.9992843,0.00004999001,0.0001616558,0.0002678082,0.00009296714,0.000143291],"domain_scores_gemma":[0.9997587,0.00003543674,0.00006981482,0.00003387568,0.0000413911,0.00006073195],"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":[0.0001904755,0.000435862,0.004815562,0.0005440766,0.00009915283,0.00001382086,0.0001183526,0.00005495796,0.494772,0.004624814,0.08763538,0.4066955],"study_design_scores_gemma":[0.0003597197,0.0003752325,0.7207128,0.0001945254,0.0001901371,0.000001632182,0.0009516026,0.0001532186,0.05638758,0.004021894,0.2161584,0.0004933199],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468874,0.002970526,0.00126766,0.03975922,0.0002472994,0.004547385,0.000482697,0.0007548942,0.003082947],"genre_scores_gemma":[0.9851062,0.0002012598,0.01319825,0.0004311821,0.0002177356,0.0002314622,0.0003656031,0.000001109928,0.0002471754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7158972,"threshold_uncertainty_score":0.1417586,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4206684911","doi":"10.3390/agriculture12010040","title":"Agriculture-Food Supply Chain Management Based on Blockchain and IoT: A Narrative on Enterprise Blockchain Interoperability","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":308,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Interoperability; Supply chain; Blockchain; Food security; Business; Supply chain management; Transparency (behavior); Computer security; Agriculture; Computer science; Marketing","retraction":null,"screen_n_in":null,"score":{"opus":0.005151727926937504,"gpt":0.2022332887700589,"spread":0.1970815608431214,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003140752,0.0004531154,0.0003770132,0.000132832,0.0004337767,0.0001564199,0.0008455911,0.0003391193,0.00003106306],"category_scores_gemma":[0.00005365098,0.0002996188,0.000152132,0.001057427,0.0001211135,0.00003353624,0.0004535338,0.0006692107,0.00002699893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001269344,"about_ca_system_score_gemma":0.00003223037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001095573,"about_ca_topic_score_gemma":0.0001447264,"domain_scores_codex":[0.9972426,0.0002492573,0.0003619184,0.001267386,0.0004105972,0.0004682274],"domain_scores_gemma":[0.9982476,0.00009907479,0.0001369216,0.001097767,0.0002311963,0.0001874532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001492941,0.006426535,0.001400774,0.0002966518,0.0005121305,0.0006089775,0.01721344,0.003906012,0.01156433,0.8452912,0.06264398,0.04998667],"study_design_scores_gemma":[0.01868255,0.01134222,0.0977408,0.003211748,0.0005020907,0.00106806,0.03667422,0.1913913,0.329309,0.08382782,0.2160712,0.0101789],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9232932,0.0007599883,0.01515028,0.05394964,0.0004213328,0.001613687,0.00008765058,0.0008877907,0.003836381],"genre_scores_gemma":[0.9877667,0.00002226933,0.008269581,0.002885116,0.00007811723,0.0003163981,0.00002741588,0.00001233828,0.0006221011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7614634,"threshold_uncertainty_score":0.9999456,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3111179293","doi":"10.3390/agriculture10120624","title":"Mechanism of Plant Growth Promotion and Disease Suppression by Chitosan Biopolymer","year":2020,"lang":"en","type":"article","venue":"Agriculture","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":186,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Saskatchewan Research Council (Canada)","funders":"Bangabandhu Sheikh Mujibur Rahman Agricultural University; Krishi Gobeshona Foundation","keywords":"Plant growth; Biopolymer; Chitin; Cell wall; Chitosan; Plant disease; Biology; Cell growth; Plant defense against herbivory; Biotechnology; Chemistry; Biochemistry; Botany; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.006670597797954805,"gpt":0.1919852272178894,"spread":0.1853146294199346,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002742654,0.0001192701,0.0001344012,0.00001339169,0.00007028836,0.0000321195,0.0001234687,0.0000528554,0.00005687072],"category_scores_gemma":[0.00002349986,0.00007341165,0.00003080394,0.0001126453,0.00002715886,0.0001572035,0.0000813705,0.00006301035,0.00001039728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003410288,"about_ca_system_score_gemma":0.000009785933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001876943,"about_ca_topic_score_gemma":4.634769e-7,"domain_scores_codex":[0.9992502,0.00003658816,0.0001355729,0.0002469938,0.0001879955,0.0001425912],"domain_scores_gemma":[0.9995645,0.000009214966,0.00008841664,0.00007726344,0.00001960987,0.0002410336],"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":[0.00002845772,0.00004353925,0.000254578,0.00007967617,0.000003933515,0.000004591363,0.0003579638,3.863035e-7,0.990419,0.001374508,0.007411787,0.00002163263],"study_design_scores_gemma":[0.0002060481,0.00009461318,0.0009672114,0.0000573478,0.00002575043,0.000005637924,0.00004329377,0.00002766422,0.9980195,0.0002558411,0.0001819261,0.0001151481],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936361,0.0003713375,0.0001599076,0.004632237,0.0001400367,0.0002761905,0.0005695753,0.00008477466,0.0001297856],"genre_scores_gemma":[0.9992918,0.00001453933,0.0002534459,0.0001506937,0.00007540479,0.000008731657,0.000179677,0.000007517859,0.00001818044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007600572,"threshold_uncertainty_score":0.2993641,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385348975","doi":"10.3390/agriculture13081508","title":"An Overview of Climate Change Impacts on Agriculture and Their Mitigation Strategies","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Plant Growth Enhancement Techniques","field":"Agricultural and Biological Sciences","cited_by":148,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Climate change; Agriculture; Environmental science; Food security; Biochar; Abiotic component; Natural resource economics; Agroecosystem; Climate change mitigation; Sustainable agriculture; Agroforestry; Environmental resource management; Ecology; Engineering; Biology; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.05052448499231196,"gpt":0.2765453797968663,"spread":0.2260208948045544,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001473811,0.000209844,0.0002129588,0.00001786724,0.0001340506,0.00007593122,0.0001838583,0.0001697079,0.00002873978],"category_scores_gemma":[0.00001096194,0.00005813821,0.00006188858,0.0006199832,0.00003307653,0.0004347244,0.00004827312,0.0001178604,0.00001665446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001163106,"about_ca_system_score_gemma":0.000002395591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001160142,"about_ca_topic_score_gemma":0.0004930443,"domain_scores_codex":[0.9990123,0.0000652642,0.0001767475,0.0002808822,0.0001744693,0.0002903697],"domain_scores_gemma":[0.999571,0.00007286347,0.0001290877,0.00005927782,0.00007445862,0.0000932576],"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":[0.00001159649,0.00006185507,0.001012978,0.00005507697,0.00001020044,0.000003489117,0.0003664529,0.000001216971,0.9719511,0.002907937,0.004135065,0.01948299],"study_design_scores_gemma":[0.0001084144,0.0007954232,0.8143562,0.0003578799,0.00001502891,0.0000130117,0.002567055,0.00001509959,0.1711568,0.001813643,0.008467877,0.0003336286],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959236,0.0007723229,3.558272e-7,0.001091739,0.00004866182,0.0003872785,0.0003525378,0.0003787095,0.001044806],"genre_scores_gemma":[0.9900435,0.008500577,0.00001919934,0.0002313868,0.0002443778,0.0000585145,0.0008787909,0.000001126858,0.0000225581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8133432,"threshold_uncertainty_score":0.2370807,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3108988919","doi":"10.3390/agriculture10120586","title":"Factors Determining Farmers’ Access to and Sources of Credit: Evidence from the Rain-Fed Zone of Pakistan","year":2020,"lang":"en","type":"article","venue":"Agriculture","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":91,"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":"Leibniz-Gemeinschaft; Higher Education Commision, Pakistan","keywords":"Agriculture; Business; Khyber pakhtunkhwa; Agricultural economics; Asset (computer security); Finance; Economics; Socioeconomics; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.07199496571050383,"gpt":0.262285279653132,"spread":0.1902903139426281,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001192089,0.0001308576,0.0003698829,0.00002616249,0.0001008287,0.00004540975,0.0003888744,0.0000924288,0.00005537346],"category_scores_gemma":[0.0002089116,0.00008385238,0.00007670149,0.0003274771,0.00005202081,0.0002147658,0.0002634853,0.0001120421,0.000008017068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001335511,"about_ca_system_score_gemma":0.000009787479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001009505,"about_ca_topic_score_gemma":0.0000991769,"domain_scores_codex":[0.9990985,0.00001174676,0.0004215623,0.0002826658,0.0000447913,0.0001407541],"domain_scores_gemma":[0.9992366,0.0001406323,0.0003690771,0.0001450242,0.00004546551,0.0000632275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007685063,0.00003561755,0.9264361,0.00007508166,0.00004826619,0.000003347754,0.03478019,0.00003163044,0.02430825,0.001954049,0.009317905,0.002932751],"study_design_scores_gemma":[0.0001990581,0.0001842581,0.9591681,0.0001550918,0.00001448778,4.605081e-7,0.002365669,0.00002656766,0.0156686,0.0003649242,0.02164476,0.0002080609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922829,0.0038535,0.001072203,0.002028562,0.000106919,0.0001828134,0.0002524883,0.00001009912,0.0002105407],"genre_scores_gemma":[0.9986579,0.0004251247,0.0001714297,0.0005380076,0.0001435135,0.000004732972,0.00001025326,0.000007124263,0.00004185006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.032732,"threshold_uncertainty_score":0.3419401,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4281743351","doi":"10.3390/agriculture12060838","title":"A Platform Approach to Smart Farm Information Processing","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interoperability; Computer science; Productivity; Precision agriculture; Agriculture; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.0125441731643944,"gpt":0.1795258330286812,"spread":0.1669816598642868,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001544248,0.0001908465,0.0001637277,0.00001707461,0.0008639451,0.000163041,0.0003850088,0.00007641674,0.000193681],"category_scores_gemma":[0.0000162682,0.00005801035,0.0001015789,0.001151821,0.00001078624,0.0003948856,0.0002320495,0.0002773053,0.00008879048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006988535,"about_ca_system_score_gemma":0.000009177439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002009814,"about_ca_topic_score_gemma":0.0001307924,"domain_scores_codex":[0.9986894,0.00003000464,0.0002293842,0.0002494027,0.0004550392,0.0003468123],"domain_scores_gemma":[0.9995807,0.00002118842,0.00009858105,0.00004837872,0.0001051257,0.0001460617],"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":[0.0001219984,0.0008293096,0.006195631,0.0000536157,0.00005467892,0.000007425298,0.006176063,0.001065629,0.1503941,0.003028445,0.353815,0.478258],"study_design_scores_gemma":[0.0001291462,0.0001939461,0.06806132,0.000006660194,0.00001365647,0.00007136696,0.007676096,0.00003892233,0.0005686915,0.00008595124,0.9228231,0.0003311098],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9339236,0.0001892281,0.00003226871,0.003168691,0.0002870359,0.000850203,0.0001283627,0.0003477457,0.06107284],"genre_scores_gemma":[0.9935258,0.000003429795,0.0002416406,0.003362037,0.0004112615,0.0002961028,0.001025209,8.125817e-7,0.001133689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5690081,"threshold_uncertainty_score":0.6644855,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997196391","doi":"10.3390/agriculture10010005","title":"Allometries in Plants as Drivers of Forage Nutritive Value: A Review","year":2019,"lang":"en","type":"review","venue":"Agriculture","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":64,"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":"Forage; Dry matter; Ruminant; Neutral Detergent Fiber; Biology; Fodder; Allometry; Herbivore; Animal science; Agronomy; Botany; Ecology; Crop","retraction":null,"screen_n_in":null,"score":{"opus":0.04184444144029103,"gpt":0.2972361484512631,"spread":0.255391707010972,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000163408,0.000411881,0.002086629,0.00005096576,0.000047121,0.00001525165,0.0004605142,0.0004535956,0.0002371645],"category_scores_gemma":[0.0001479848,0.0001241447,0.0006120429,0.00121308,0.00007622559,0.000104868,0.000117569,0.0003793161,0.0002389793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005499446,"about_ca_system_score_gemma":0.00003292018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001082936,"about_ca_topic_score_gemma":0.00004426805,"domain_scores_codex":[0.9980378,0.0002783543,0.0005983653,0.0005042995,0.0002512124,0.0003299311],"domain_scores_gemma":[0.9986955,0.0005271931,0.0004958521,0.00008750433,0.000108844,0.00008508658],"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":[0.00002591197,0.0005899827,0.00006771557,0.05055999,0.0001529892,0.00007322887,0.00004498808,1.585282e-7,0.0005900009,0.001162961,0.09594183,0.8507903],"study_design_scores_gemma":[0.0001201625,0.0002366301,0.0008022329,0.05452085,0.0001464902,0.00004102881,0.0000885417,2.674772e-8,0.00002004234,0.0000808107,0.9436274,0.000315813],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004108724,0.9951383,2.810853e-8,0.0002565522,0.0001097649,0.001383659,0.0005508848,0.00002558853,0.002124343],"genre_scores_gemma":[0.0001696991,0.9971214,0.000008105893,0.0002547612,0.0001174324,0.00009092289,0.00163585,0.000001800572,0.0006000201],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8504744,"threshold_uncertainty_score":0.5062475,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2504969104","doi":"10.3390/agriculture6030032","title":"Development Interventions and Agriculture Adaptation: A Social Network Analysis of Farmer Knowledge Transfer in Ghana","year":2016,"lang":"en","type":"article","venue":"Agriculture","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Kwame Nkrumah University of Science and Technology","keywords":"Agriculture; Adaptation (eye); Psychological intervention; Knowledge transfer; Business; Agricultural science; Environmental resource management; Agricultural economics; Knowledge management; Geography; Economics; Environmental science; Psychology; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.03347228773237288,"gpt":0.2324180849164587,"spread":0.1989457971840858,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002143616,0.0001384145,0.0004454978,0.0001804411,0.0001254448,0.00001406038,0.0001106904,0.0001739729,0.0001137823],"category_scores_gemma":[0.00001269698,0.00009016835,0.0002225333,0.001226199,0.00003525472,0.000171531,0.00004942232,0.00008619992,0.00003265664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007445299,"about_ca_system_score_gemma":0.00001365711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007671185,"about_ca_topic_score_gemma":0.00290969,"domain_scores_codex":[0.9988651,0.00001473487,0.0005922927,0.0002908589,0.00002958195,0.0002073798],"domain_scores_gemma":[0.9996724,0.00001855243,0.0001402871,0.00007566707,0.00006006817,0.00003301734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00009204856,0.001174754,0.08092429,0.0003239943,0.001830215,0.000011048,0.04388311,0.000153308,0.005939568,0.7725985,0.02000078,0.07306836],"study_design_scores_gemma":[0.001039543,0.00004592544,0.8398894,0.0002700397,0.0001741284,0.00000174301,0.001045369,0.00003731759,0.0005641811,0.001832866,0.1545831,0.0005163971],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9521467,0.01526031,0.02372273,0.001538125,0.0002701484,0.0004004459,0.0002253023,0.0000322158,0.006404034],"genre_scores_gemma":[0.9975644,0.0003285375,0.0006956726,0.00005005691,0.0001077352,0.0000307596,0.00004703431,0.000005775046,0.001170075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7707657,"threshold_uncertainty_score":0.3676958,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4214636621","doi":"10.3390/agriculture12030329","title":"Data Management and Integration of Low Power Consumption Embedded Devices IoT for Transforming Smart Agriculture into Actionable Knowledge","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":58,"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 Chicoutimi","funders":"","keywords":"Big data; Computer science; Architecture; Data science; Analytics; Wireless sensor network; Data architecture; Reference architecture; Computer network; Software architecture; Data mining","retraction":null,"screen_n_in":null,"score":{"opus":0.02671616008543138,"gpt":0.2537810390062352,"spread":0.2270648789208038,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003009991,0.0002554887,0.0002697773,0.00002328306,0.0007087707,0.00007111707,0.0004759877,0.0001090026,0.000231532],"category_scores_gemma":[0.00001511192,0.00008957549,0.00009987711,0.000495725,0.00004059971,0.0003101961,0.0002692799,0.0002118625,0.0000066247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005323594,"about_ca_system_score_gemma":0.000007344182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008142024,"about_ca_topic_score_gemma":0.00227652,"domain_scores_codex":[0.9984663,0.0000815705,0.0003355313,0.0005481692,0.000293666,0.0002748206],"domain_scores_gemma":[0.9993228,0.0001294009,0.0001805543,0.0001214021,0.0001572068,0.00008866933],"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":[0.0001902368,0.0007565824,0.001775631,0.0003159805,0.0001959101,0.000003885536,0.001727648,0.000036319,0.8495085,0.002522832,0.1134176,0.0295488],"study_design_scores_gemma":[0.001067306,0.001056059,0.142942,0.0001937986,0.0002597091,0.00006993469,0.01838857,0.0001176791,0.02049298,0.000596723,0.8139958,0.0008194632],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921899,0.002047904,0.00007233469,0.001468031,0.0004311691,0.001798787,0.0007041356,0.0001113346,0.001176424],"genre_scores_gemma":[0.9927504,0.0001317807,0.0007250285,0.0002026498,0.0002564794,0.0003404916,0.00363292,0.000002286237,0.001957966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8290156,"threshold_uncertainty_score":0.5451363,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3134850521","doi":"10.3390/agriculture11030218","title":"Quantifying Root-Soil Interactions in Cover Crop Systems: A Review","year":2021,"lang":"en","type":"review","venue":"Agriculture","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Cover crop; Environmental science; Soil organic matter; Soil quality; Nutrient cycle; Soil carbon; Soil biodiversity; Agronomy; Ecosystem; Soil water; Agroforestry; Soil science; Ecology; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.06788783466874743,"gpt":0.3241953724499296,"spread":0.2563075377811822,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001326182,0.0004815179,0.002131646,0.00007427335,0.0000596676,0.00007506766,0.0001927689,0.0001894754,0.00005241775],"category_scores_gemma":[0.0001077713,0.0003021844,0.0005326433,0.0008026432,0.00001263206,0.0001139648,0.00007645385,0.0007871254,0.0001899233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002899379,"about_ca_system_score_gemma":0.00003926173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006343587,"about_ca_topic_score_gemma":0.009893213,"domain_scores_codex":[0.9983375,0.000136103,0.0007221124,0.0003458759,0.0001692286,0.0002891505],"domain_scores_gemma":[0.9992561,0.0001571985,0.0001062679,0.0003331718,0.00009156496,0.00005574042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[3.052479e-7,0.00006240567,0.00007620649,0.4535284,0.0006643963,0.0001142561,0.0001660072,0.0005550237,8.071934e-7,0.0001351201,0.3880557,0.1566414],"study_design_scores_gemma":[0.0000337544,0.000002436305,0.00004782814,0.1446916,0.0003984088,0.00006511337,0.00003414874,0.000005606501,9.215141e-8,2.707048e-7,0.8544024,0.0003183731],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000004424944,0.9959729,0.0000124044,0.00005594182,0.001147913,0.0006648761,0.00008587187,0.0001800003,0.001875647],"genre_scores_gemma":[0.00004398347,0.998325,0.000009580826,0.0000104105,0.00024544,0.0003635832,0.0002315032,0.00003680084,0.0007336529],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4663467,"threshold_uncertainty_score":0.999943,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4377091165","doi":"10.3390/agriculture13051089","title":"The Recent Use of Plant-Growth-Promoting Bacteria to Promote the Growth of Agricultural Food Crops","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; Bayer (Canada)","funders":"","keywords":"Agriculture; Plant growth; Biotechnology; Biology; Bacteria; Agronomy; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.02603183339722031,"gpt":0.2088259417170127,"spread":0.1827941083197924,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002796076,0.0001972348,0.0002192247,0.00001260227,0.0005692101,0.000141648,0.0005851942,0.0001065481,0.00004750734],"category_scores_gemma":[0.0003490263,0.00004346914,0.0001467092,0.001138396,0.00006329207,0.0001958925,0.0002317019,0.0002556318,0.00003669822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002215146,"about_ca_system_score_gemma":0.000007378612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006105012,"about_ca_topic_score_gemma":0.001558369,"domain_scores_codex":[0.9986374,0.0001455335,0.0003894741,0.0002258067,0.0002445878,0.0003571577],"domain_scores_gemma":[0.998674,0.0004237179,0.0002497182,0.0001076423,0.0004684305,0.00007644171],"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":[0.0000240921,0.00006406835,0.000936224,0.00001111143,0.00005409213,9.606621e-7,0.0004805348,0.000002352285,0.959439,0.0001858792,0.03608079,0.002720885],"study_design_scores_gemma":[0.00006989192,0.0003399351,0.7268499,0.00009652857,0.00002319441,0.00004101481,0.00125232,0.000002399761,0.1870155,0.00005912372,0.08408423,0.0001660546],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900684,0.00006055323,2.164629e-7,0.008316207,0.0002899002,0.0004536948,0.0006415601,0.0000650397,0.0001044562],"genre_scores_gemma":[0.998508,0.0003350132,0.00004497022,0.0001131731,0.0001710227,0.00003042992,0.0003623019,0.000001466748,0.0004336029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7724236,"threshold_uncertainty_score":0.4377962,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200291982","doi":"10.3390/agriculture11121288","title":"Projection of Agricultural Water Stress for Climate Change Scenarios: A Regional Case Study of Iraq","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Environmental science; Representative Concentration Pathways; Climate change; Agriculture; Water balance; Arid; Precipitation; Water resources; Water supply; Climatology; Hydrology (agriculture); Climate model; Environmental engineering; Geography; Ecology; Meteorology; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.02082774163725697,"gpt":0.2430974722265353,"spread":0.2222697305892783,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009143304,0.0001088412,0.0001953738,0.00001553788,0.0001264761,0.000006652873,0.00007725907,0.00009936392,0.0001687992],"category_scores_gemma":[0.000008343966,0.00005371031,0.0001067819,0.0002523517,0.00004518525,0.000150348,0.00009170367,0.0000758974,0.000009726551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002479151,"about_ca_system_score_gemma":0.000002056054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001117686,"about_ca_topic_score_gemma":0.006430591,"domain_scores_codex":[0.9991345,0.00006451862,0.0002036337,0.0002485208,0.0001620358,0.0001867819],"domain_scores_gemma":[0.999674,0.00001891089,0.00009300718,0.0001232716,0.00005597592,0.00003483028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002502237,0.008989175,0.5797364,0.0004661668,0.0008990907,0.001355041,0.1070976,0.006423753,0.2808554,0.0001887624,0.01068608,0.00305237],"study_design_scores_gemma":[0.004555088,0.002187986,0.6880032,0.000112774,0.001619272,0.003900497,0.1381289,0.0006561376,0.1565459,0.0002028795,0.003050083,0.001037345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989188,0.00004631823,0.00000577794,0.0002918776,0.00004703883,0.0003849924,0.00002286536,0.00001172082,0.0002705893],"genre_scores_gemma":[0.9993503,0.00001138068,0.0001221036,0.00004756524,0.00007487917,0.00008968082,0.0000818201,0.000003286247,0.0002189703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1243095,"threshold_uncertainty_score":0.3588421,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408028855","doi":"10.3390/agriculture15050531","title":"Agricultural Non-Point Source Pollution: Comprehensive Analysis of Sources and Assessment Methods","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","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":"State Key Laboratory of Wheat and Maize Crop Science","keywords":"Agriculture; Environmental science; Nonpoint source pollution; Pollution; Environmental protection; Ecology; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.008314223155270252,"gpt":0.2758531424134919,"spread":0.2675389192582217,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001166305,0.0002241193,0.0004490954,0.00007934189,0.0002353775,0.00002857271,0.000189754,0.00009990564,0.000104786],"category_scores_gemma":[0.00001326752,0.0001253551,0.0001728847,0.001464727,0.0002029111,0.0001248784,0.0004868601,0.0001357533,0.000004160543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001095273,"about_ca_system_score_gemma":0.000005526685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008948715,"about_ca_topic_score_gemma":0.0004711822,"domain_scores_codex":[0.9987185,0.0001403934,0.000274207,0.000390908,0.0002367159,0.0002392839],"domain_scores_gemma":[0.9994672,0.0000918091,0.0001415501,0.0001851787,0.00004689318,0.00006740326],"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":[0.00004432178,0.0005716915,0.06129431,0.0001269333,0.00855833,0.00001128693,0.006058715,0.03556402,0.7583379,0.01915688,0.08452078,0.02575489],"study_design_scores_gemma":[0.0002092329,0.00005288302,0.9657372,0.00002162128,0.0009686645,0.00000386544,0.004124861,0.0003925901,0.01208724,0.001055318,0.01513891,0.0002075781],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8282667,0.002004409,0.01627422,0.007266265,0.0002801437,0.0004798415,0.00008005011,0.0001322794,0.1452161],"genre_scores_gemma":[0.9855666,0.00003453761,0.01105192,0.0003584328,0.00002700173,0.00002354265,0.00002755001,0.000003857398,0.002906516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9044429,"threshold_uncertainty_score":0.5111834,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385224177","doi":"10.3390/agriculture13071444","title":"Rural Displacement and Its Implications on Livelihoods and Food Insecurity: The Case of Inter-Riverine Communities in Somalia","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Livelihood; Food security; Forced migration; Scarcity; Agriculture; Development economics; Politics; Competition (biology); Geography; Political science; Economic growth; Natural resource economics; Economics; Ecology; Refugee; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.01174929684049429,"gpt":0.2273031295369224,"spread":0.2155538326964281,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007199921,0.00005936304,0.00006298529,0.00001923077,0.00009805246,0.00000919683,0.00007500614,0.00002575095,0.00006231268],"category_scores_gemma":[0.000005266967,0.0000324894,0.00001024947,0.0001350603,0.0000599108,0.00005298513,0.0002448148,0.00006919748,0.00001134733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001201992,"about_ca_system_score_gemma":6.373969e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004640294,"about_ca_topic_score_gemma":0.01240981,"domain_scores_codex":[0.9997002,0.00004088777,0.00007362651,0.00006563211,0.00002843672,0.00009124184],"domain_scores_gemma":[0.9998187,0.00005180025,0.0000279618,0.00007825404,0.000002963264,0.00002032104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005888967,0.0004819209,0.8149849,0.0001603493,0.000145778,0.00008903687,0.03979506,0.0002930978,0.004765156,0.06296957,0.05944161,0.0168146],"study_design_scores_gemma":[0.0002209378,0.0001981707,0.9885775,0.00001251306,0.0000103491,0.0000288902,0.006998707,0.0001046227,0.00003104745,0.0005616157,0.003199877,0.00005573958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966784,0.00005775527,0.000001271871,0.001935388,0.00002047308,0.0002210555,0.00001661369,0.00001097904,0.001058028],"genre_scores_gemma":[0.9993336,0.0002328129,0.000005512238,0.00006731712,0.000007673782,0.00004414593,0.00001675294,0.000001915166,0.000290294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1735926,"threshold_uncertainty_score":0.6924967,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3134493643","doi":"10.3390/agriculture11030223","title":"Bibliometric Analysis of Soil Nutrient Research between 1992 and 2020","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Alberta","funders":"","keywords":"Agriculture; Fertilizer; Bibliometrics; Population; Environmental science; Geography; Agricultural science; Library science; Agronomy; Sociology; Computer science; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.03760422077614775,"gpt":0.2857898064221848,"spread":0.2481855856460371,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0003685073,0.0001047223,0.0002967196,0.001812577,0.0001313915,0.00006706191,0.0001620144,0.0001512204,0.000159708],"category_scores_gemma":[0.0001635282,0.00003496617,0.0001687787,0.2008539,0.000064828,0.000053284,0.0001545558,0.0002022753,0.000005790112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001877299,"about_ca_system_score_gemma":0.000009857727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008817819,"about_ca_topic_score_gemma":0.002189016,"domain_scores_codex":[0.9985558,0.0001516365,0.0002044761,0.0003170859,0.0005110747,0.0002598827],"domain_scores_gemma":[0.9988716,0.0004226842,0.0000627618,0.00006893607,0.0004299414,0.0001440317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001252294,0.0001917011,0.7890533,0.00002121439,0.0007558194,0.00004673425,0.0001438885,0.00001526096,0.163866,0.0007646965,0.004688721,0.04044021],"study_design_scores_gemma":[0.0000714465,0.0000740062,0.9877753,0.000007188639,0.0002189674,0.000005267199,0.0005236054,0.00009715077,0.008496616,0.0002195713,0.002405795,0.00010509],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953526,0.002320966,7.350949e-7,0.001145625,0.00002512007,0.00006863258,0.0001184117,0.00002130303,0.0009466482],"genre_scores_gemma":[0.9983004,0.0008620152,0.00003468094,0.00004509011,0.0001601141,0.000005617643,0.0003631953,5.262519e-7,0.0002283274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1990413,"threshold_uncertainty_score":0.8161323,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3092088357","doi":"10.3390/agriculture10100468","title":"Currents Status, Challenges, and Future Directions in Identifying Critical Source Areas for Non-Point Source Pollution in Canadian Conditions","year":2020,"lang":"en","type":"article","venue":"Agriculture","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Ministry of the Environment, Conservation and Parks; University of Guelph","funders":"Ministère de l’Environnement, de la Protection de la nature et des Parcs","keywords":"Nonpoint source pollution; Environmental science; Surface runoff; Water quality; Pollution; Watershed; Identification (biology); Flexibility (engineering); Environmental planning; Toolbox; Environmental resource management; Best practice; Computer science; Risk analysis (engineering); Business; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.01512194476053533,"gpt":0.2420938035874069,"spread":0.2269718588268715,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000078905,0.000108792,0.0001161322,0.00003670934,0.0002259815,0.00001647613,0.00006275191,0.0000890922,0.00006373063],"category_scores_gemma":[0.00005110445,0.00008766859,0.00002608659,0.0001677372,0.00007713667,0.0001741509,0.00006854304,0.00016343,0.00002777135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001318035,"about_ca_system_score_gemma":0.000005932129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0189955,"about_ca_topic_score_gemma":0.2505865,"domain_scores_codex":[0.9991313,0.00003449259,0.0001169717,0.0002756149,0.00007203503,0.0003695893],"domain_scores_gemma":[0.999715,0.00002445125,0.00001897784,0.00005022826,0.000005685809,0.0001857128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001265104,0.0008240818,0.5492553,0.000681906,0.0002198919,0.00009444183,0.1401396,0.006969795,0.001519784,0.008935058,0.2197557,0.07147799],"study_design_scores_gemma":[0.000342819,0.00003413243,0.6109794,0.00002344766,0.00001996795,0.000002947527,0.004304484,0.0005473736,0.00001014702,0.0004485156,0.3831361,0.0001506811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6841605,0.006548064,0.0004752401,0.2977628,0.0008293118,0.001755434,0.0001871624,0.0001312409,0.008150304],"genre_scores_gemma":[0.9970519,0.001566705,0.00006059122,0.000963079,0.0001397353,0.00008009234,0.00004711615,0.000005164633,0.00008564066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3128914,"threshold_uncertainty_score":0.9875371,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391139563","doi":"10.3390/agriculture14020163","title":"A Comprehensive Overview of Control Algorithms, Sensors, Actuators, and Communication Tools of Autonomous All-Terrain Vehicles in Agriculture","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":41,"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":"Terrain; Agriculture; Actuator; Computer science; Agricultural engineering; Control (management); Remote sensing; Environmental science; Engineering; Control engineering; Algorithm; Systems engineering; Artificial intelligence; Geography; Cartography","retraction":null,"screen_n_in":null,"score":{"opus":0.03134845386323656,"gpt":0.2549036083401539,"spread":0.2235551544769173,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001882625,0.0003057165,0.000551175,0.00002836479,0.00007751989,0.0000899648,0.0003082642,0.0003140276,0.00005271363],"category_scores_gemma":[0.00003322534,0.00009898227,0.000188392,0.0007126216,0.0001076519,0.0002965086,0.0001377062,0.0003340697,0.00000716177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003441193,"about_ca_system_score_gemma":0.00001260894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006219253,"about_ca_topic_score_gemma":0.0006516474,"domain_scores_codex":[0.9983103,0.0002079475,0.0005261861,0.0003938682,0.0002723268,0.0002894131],"domain_scores_gemma":[0.9988933,0.0005247825,0.0001839905,0.0001087375,0.0001906028,0.00009857496],"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":[0.00004791272,0.0003502461,0.003370193,0.0004151362,0.0002849731,0.00003506557,0.002586017,0.00004897679,0.854737,0.003976494,0.03163437,0.1025136],"study_design_scores_gemma":[0.0009277629,0.0005113152,0.6653008,0.001389209,0.0002338335,0.0001600272,0.004761982,0.0001751122,0.01596928,0.00128475,0.3084282,0.0008577207],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653779,0.02874958,0.000002992523,0.004396672,0.0001018209,0.000604266,0.0003608311,0.00009551273,0.0003103805],"genre_scores_gemma":[0.9956831,0.003058953,0.0002084844,0.0002666113,0.0001793913,0.00003269973,0.0004257151,0.000002188317,0.0001428102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8387677,"threshold_uncertainty_score":0.403638,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392912249","doi":"10.3390/agriculture14030481","title":"A Review of Machine Learning Techniques in Agroclimatic Studies","year":2024,"lang":"en","type":"review","venue":"Agriculture","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Prince Edward Island; Agriculture and Agri-Food Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.05409298709067897,"gpt":0.3282672167024007,"spread":0.2741742296117217,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004278001,0.0006048984,0.002473871,0.00004027007,0.00006720205,0.00003332157,0.000453436,0.0003978762,0.00008582303],"category_scores_gemma":[0.0002026939,0.0001342207,0.0008535837,0.001964174,0.00004522182,0.00008530496,0.0002421786,0.0009096659,0.0001040975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007654275,"about_ca_system_score_gemma":0.00001666855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006034755,"about_ca_topic_score_gemma":0.000359731,"domain_scores_codex":[0.9975976,0.0002656797,0.000993583,0.0005350634,0.0002762371,0.0003318354],"domain_scores_gemma":[0.9989434,0.0002965425,0.0004658985,0.00008149949,0.0001483675,0.00006432593],"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":[6.725687e-7,0.00006475734,0.000006649589,0.2110124,0.0001763854,0.00002872164,0.00005441143,1.485173e-8,0.0001048268,0.00006500469,0.05079908,0.7376871],"study_design_scores_gemma":[0.00001074334,0.00007567649,0.000006496491,0.2840109,0.0006691557,0.00005055505,0.00007510239,4.950916e-8,0.00001090911,0.00003570212,0.7147808,0.00027384],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000009582217,0.997501,2.001218e-8,0.0004719231,0.0001353718,0.0010271,0.00007379434,0.0001638322,0.0006173415],"genre_scores_gemma":[0.000003447769,0.9972682,0.00004747046,0.0002193188,0.0004661656,0.0002722791,0.0007609035,0.000003279734,0.0009589252],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7374133,"threshold_uncertainty_score":0.5473362,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1569260622","doi":"10.3390/agriculture5030561","title":"Effect of Additives and Fuel Blending on Emissions and Ash-Related Problems from Small-Scale Combustion of Reed Canary Grass","year":2015,"lang":"en","type":"article","venue":"Agriculture","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut de Recherche et de Développement en Agroenvironnement; Université de Sherbrooke","funders":"Mitacs; Université de Sherbrooke; U.S. Environmental Protection Agency","keywords":"Combustion; NOx; Flue gas; Sulfur; Environmental science; Sulfur dioxide; Nitrogen; Pulp and paper industry; Waste management; Fossil fuel; Biomass (ecology); Sewage sludge; Chemistry; Environmental chemistry; Agronomy; Environmental engineering; Sewage","retraction":null,"screen_n_in":null,"score":{"opus":0.005700064185968283,"gpt":0.1810903386508572,"spread":0.1753902744648889,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006392183,0.0001191986,0.0001863549,0.00003026274,0.00001761432,0.000005694105,0.00005649,0.0001391699,0.00001216323],"category_scores_gemma":[0.00006559023,0.00007619822,0.00002125463,0.0001480522,0.00004044982,0.00005410659,0.00002934232,0.0001142602,9.216222e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001911852,"about_ca_system_score_gemma":0.00000574051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006950486,"about_ca_topic_score_gemma":0.00002496433,"domain_scores_codex":[0.9995236,0.00003100718,0.0001358724,0.0001287449,0.00009192962,0.00008885194],"domain_scores_gemma":[0.9995731,0.0001566012,0.00005327648,0.00006618221,0.00005024124,0.0001005982],"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":[0.0000258341,0.00001754359,0.002126807,0.000351999,0.00005994181,0.000001146472,0.0005463435,0.0001447529,0.9926856,0.000009334705,0.002845678,0.001184997],"study_design_scores_gemma":[0.0008816163,0.0002364606,0.01186513,0.0006179686,0.00008378097,0.000005248083,0.0003882451,0.0001619497,0.9852595,0.0001415499,0.0001959173,0.0001626701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978342,0.001347581,0.000006135228,0.00005719128,0.00006947758,0.0001413157,0.00007518207,0.00006745219,0.0004014446],"genre_scores_gemma":[0.9996619,0.00009398234,0.00007643307,0.000002279326,0.00001614134,0.00000613506,0.00009381148,0.000008135746,0.0000411477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009738323,"threshold_uncertainty_score":0.3107274,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200414197","doi":"10.3390/agriculture12010035","title":"An Agile AI and IoT-Augmented Smart Farming: A Cost-Effective Cognitive Weather Station","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Smart Agriculture and AI","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":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Interoperability; End user; Cloud computing; World Wide Web; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.008963104925478478,"gpt":0.2364410894449188,"spread":0.2274779845194404,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009911407,0.0002538238,0.0002329861,0.000008471246,0.0003121709,0.0001745433,0.0001035377,0.000195714,0.0003433052],"category_scores_gemma":[0.00005768148,0.00008284282,0.00008975814,0.0005196136,0.00004730713,0.0002346789,0.00005413902,0.0002347827,0.000047342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000288079,"about_ca_system_score_gemma":0.000009285642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001595314,"about_ca_topic_score_gemma":0.00261489,"domain_scores_codex":[0.9985698,0.0001788717,0.0001731691,0.0005290975,0.0002295866,0.0003194534],"domain_scores_gemma":[0.9990925,0.0001636695,0.00008321465,0.00004948922,0.0004214278,0.0001897672],"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":[0.0000415277,0.0003769946,0.01180077,0.00001056504,0.00008669465,0.00005917971,0.0008200002,0.000002706345,0.824057,0.0002413875,0.01261035,0.1498928],"study_design_scores_gemma":[0.0006025212,0.0004758628,0.7796341,0.00009856385,0.0001143711,0.0001080915,0.006165736,0.00003139089,0.07312921,0.0002583239,0.1388544,0.0005274615],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941407,0.0005918893,0.00001764739,0.002474451,0.000142067,0.0009228197,0.0001856676,0.0001220104,0.001402742],"genre_scores_gemma":[0.9943255,0.00007047859,0.00005679007,0.002097305,0.0004930671,0.0002294454,0.0013882,0.000001866932,0.001337332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7678333,"threshold_uncertainty_score":0.3758951,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3197260375","doi":"10.3390/agriculture11090830","title":"Full-Season Cover Crops and Their Traits That Promote Agroecosystem Services","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Agronomic Practices and Intercropping Systems","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":"Agriculture and Agri-Food Canada","funders":"","keywords":"Agroecosystem; Cover crop; Agronomy; Ecosystem services; Biomass (ecology); Growing season; Agroforestry; Biology; Canopy; Agriculture; Ecosystem; Environmental science; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.0126447766924915,"gpt":0.193050244656415,"spread":0.1804054679639235,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001378756,0.0002350221,0.0002737996,0.000004274104,0.0002365032,0.0003224845,0.0002182004,0.0001781461,0.0003195422],"category_scores_gemma":[0.00001213566,0.00006770171,0.0001158845,0.0001738818,0.00002078598,0.0003831399,0.000120029,0.0001699164,0.0001043617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002878316,"about_ca_system_score_gemma":0.000007851425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000328215,"about_ca_topic_score_gemma":0.00214551,"domain_scores_codex":[0.9988042,0.0001209309,0.0001987459,0.0004465256,0.0001394697,0.0002901268],"domain_scores_gemma":[0.9994359,0.00008958581,0.0001610013,0.00006346076,0.0001158956,0.0001341255],"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":[0.00003730467,0.0001089758,0.002487376,0.0001329085,0.0001082736,0.00002703527,0.001125518,0.000002748029,0.9592255,0.0003195527,0.01001235,0.02641242],"study_design_scores_gemma":[0.0002782265,0.0002834799,0.2080008,0.0003603997,0.00004133778,0.0006366236,0.009058375,0.0001317585,0.01975757,0.0001071637,0.7607871,0.0005571775],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898258,0.002850054,0.000003976135,0.003243671,0.0002245825,0.0002131244,0.00008265547,0.0000856641,0.003470422],"genre_scores_gemma":[0.9961576,0.0001680895,0.00002817271,0.0004162076,0.0005347736,0.00001464916,0.0001171797,0.000001515827,0.002561767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.939468,"threshold_uncertainty_score":0.3498763,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2957199281","doi":"10.3390/agriculture9070153","title":"Pongamia pinnata L. Leaves Biochar Increased Growth and Pigments Syntheses in Pisum sativum L. Exposed to Nutritional Stress","year":2019,"lang":"en","type":"article","venue":"Agriculture","topic":"Legume Nitrogen Fixing Symbiosis","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 Calgary","funders":"Higher Education Commision, Pakistan; Bahauddin Zakariya University","keywords":"Sativum; Carotenoid; Chlorophyll; Pongamia; Chlorophyll b; Biochar; Biology; Nutrient; Pisum; Horticulture; Chlorophyll a; Anthocyanin; Botany; Fertilizer; Photosynthesis; Dry weight; Agronomy; Chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.01037175542155147,"gpt":0.1943302703115884,"spread":0.1839585148900369,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001101044,0.0002381552,0.0002511052,0.00003312895,0.0001042637,0.00009931277,0.0002966409,0.0001700163,0.0003280261],"category_scores_gemma":[0.0001372288,0.00008850242,0.00006698578,0.0005211493,0.00003430187,0.0002143103,0.0001391967,0.0001647552,0.0001460032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004034107,"about_ca_system_score_gemma":0.000007043301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009871681,"about_ca_topic_score_gemma":0.0005992,"domain_scores_codex":[0.9985077,0.0001076967,0.0002204138,0.0004965137,0.0003115745,0.0003560591],"domain_scores_gemma":[0.9993668,0.00025048,0.00007078273,0.00006797982,0.00007965781,0.0001643552],"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":[0.000032848,0.0001568168,0.1451811,0.00002339192,0.00001745857,0.000005864118,0.00008547829,1.171974e-7,0.8527117,0.0002862086,0.001151426,0.0003475628],"study_design_scores_gemma":[0.0002632782,0.0001694614,0.6726671,0.0002084591,0.000009192721,0.000008472581,0.000494985,7.318492e-7,0.3253379,0.0001422165,0.0004090796,0.0002891333],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954845,0.0002797788,1.0686e-7,0.002758223,0.00007560985,0.0005272637,0.0003634844,0.00006478723,0.0004462695],"genre_scores_gemma":[0.9987937,0.00002382216,0.0001105477,0.0005460607,0.0001772707,0.00004701283,0.0001826017,0.00000193081,0.0001170373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.527486,"threshold_uncertainty_score":0.3609024,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2972211871","doi":"10.3390/agriculture9090196","title":"Effect of Different Combinations of Red and Blue LED Light on Growth Characteristics and Pigment Content of In Vitro Tomato Plantlets","year":2019,"lang":"en","type":"article","venue":"Agriculture","topic":"Light effects on plants","field":"Agricultural and Biological Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Plantlet; Photosynthesis; Pigment; Horticulture; photoperiodism; Shoot; Elongation; Botany; Biology; Dry weight; Photosynthetic pigment; Chemistry; In vitro; Tissue culture; Materials science","retraction":null,"screen_n_in":null,"score":{"opus":0.005289816622053551,"gpt":0.1794748116645143,"spread":0.1741849950424608,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001122328,0.0001309941,0.0003917544,0.00001640292,0.00001821371,0.000007440395,0.0000837079,0.00008976146,0.000008891038],"category_scores_gemma":[0.0000417532,0.00003887729,0.00003861799,0.0001033403,0.0000244921,0.00003623165,0.00004404342,0.00007202029,0.00000112775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000102329,"about_ca_system_score_gemma":0.000001244085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004981918,"about_ca_topic_score_gemma":0.00002376265,"domain_scores_codex":[0.9992273,0.0001094606,0.0002290798,0.0001625489,0.0001616581,0.0001099389],"domain_scores_gemma":[0.9993158,0.00037452,0.000175478,0.00003842791,0.00005228101,0.00004347181],"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":[0.0001724576,0.0002306566,0.04203285,0.0001337986,0.0000185427,0.000001794172,0.00009157484,6.897053e-8,0.9562625,0.0001807976,0.00008365413,0.0007913161],"study_design_scores_gemma":[0.0004782728,0.0007675519,0.5162597,0.000122863,0.00001112407,0.000002833698,0.00003018079,0.000005781555,0.4822465,0.000008622945,0.00001540639,0.00005114366],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987796,0.00005596645,4.152987e-8,0.0003821432,0.00005801765,0.0004831247,0.0001412113,0.000007344485,0.00009256337],"genre_scores_gemma":[0.9997482,0.00005943807,0.000002359326,0.00001744525,0.00001206787,0.000009872418,0.0001010491,5.954564e-7,0.0000489523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4742268,"threshold_uncertainty_score":0.158537,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2733369329","doi":"10.3390/agriculture7070057","title":"Grasslands and Croplands Have Different Microbial Biomass Carbon Levels per Unit of Soil Organic Carbon","year":2017,"lang":"en","type":"article","venue":"Agriculture","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"Grassland; Soil carbon; Biomass (ecology); Environmental science; Soil water; Agronomy; Total organic carbon; Soil science; Ecology; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.01615397442151803,"gpt":0.2102627126529573,"spread":0.1941087382314392,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008138572,0.0002582394,0.0003223945,0.00001318364,0.0002787095,0.0001256234,0.0003509646,0.0002665878,0.00006034565],"category_scores_gemma":[0.00003491856,0.00008476428,0.0001043966,0.00007558445,0.0001336985,0.00005432212,0.0001814528,0.0001769104,0.00000141627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001926757,"about_ca_system_score_gemma":0.000008029745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00281968,"about_ca_topic_score_gemma":0.01874814,"domain_scores_codex":[0.9989061,0.00004717438,0.0002112209,0.000330212,0.0002070879,0.0002982129],"domain_scores_gemma":[0.9993427,0.00004762226,0.0002121041,0.0001428158,0.0001216547,0.0001330447],"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":[0.00001950789,0.00005046838,0.2135441,0.00001316782,0.00003453642,0.000006489421,0.0001080572,1.9143e-7,0.7851124,0.00002103735,0.00006265336,0.001027436],"study_design_scores_gemma":[0.0003576792,0.0001541662,0.8970196,0.00002759452,0.00005653435,0.00003380852,0.0002389742,0.0001762045,0.1013697,0.00007902808,0.0002261218,0.000260595],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968755,0.0002366863,1.091514e-7,0.0006600849,0.0001913374,0.0001335578,0.000090733,0.00003890881,0.001773043],"genre_scores_gemma":[0.9988924,0.00006307999,0.000005123951,0.00003583019,0.0002943643,0.000005622965,0.00008187934,0.000002226371,0.0006194455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6837426,"threshold_uncertainty_score":0.9991571,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3007078662","doi":"10.3390/agriculture10020047","title":"Ecological Risk Assessment of Soil Heavy Metals and Pesticide Residues in Tea Plantations","year":2020,"lang":"en","type":"article","venue":"Agriculture","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brock University","funders":"Ministry of Science and Technology of the People's Republic of China","keywords":"Environmental science; Pollution; Pesticide residue; Pesticide; Soil quality; Tea garden; Soil water; Methamidophos; Toxicology; Soil contamination; Heavy metals; Environmental protection; Environmental chemistry; Agronomy; Ecology; Biology; Chemistry; Horticulture","retraction":null,"screen_n_in":null,"score":{"opus":0.01319553875270223,"gpt":0.2501157994814632,"spread":0.2369202607287609,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002182194,0.0001212814,0.000211112,0.00001084007,0.00005878504,0.00001127829,0.0001262845,0.00008486624,0.0006902432],"category_scores_gemma":[0.0001640564,0.00007703457,0.0000358319,0.0001725078,0.0001346839,0.0001108637,0.0001639251,0.0002092683,0.00004846518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006625058,"about_ca_system_score_gemma":0.000005973242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002490206,"about_ca_topic_score_gemma":0.0005083388,"domain_scores_codex":[0.9988633,0.0001674132,0.0002538081,0.0002861242,0.0002579081,0.0001714146],"domain_scores_gemma":[0.9995398,0.0001397971,0.00009880413,0.0000987341,0.000002942088,0.0001199588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001096938,0.0002634993,0.9344299,0.00001848781,0.00002463249,0.00002924402,0.0009014903,0.02786019,0.03087423,0.000201601,0.0045717,0.0008140127],"study_design_scores_gemma":[0.0001953022,0.0001169495,0.9934407,0.00000695643,0.00003192293,0.000005106108,0.0002642621,0.0004897141,0.003563656,0.0002252074,0.001551969,0.0001082381],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940396,0.00007729226,0.0001794578,0.001839985,0.00002102766,0.0002244104,0.00003496626,0.00001816444,0.003565113],"genre_scores_gemma":[0.993318,0.0002722243,0.00594318,0.0003323556,0.0000241629,0.00002562395,0.00001361444,0.000004567957,0.0000662614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05901077,"threshold_uncertainty_score":0.7557679,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2793473576","doi":"10.3390/agriculture8030044","title":"Helping Agribusinesses—Small Millets Value Chain—To Grow in India","year":2018,"lang":"en","type":"article","venue":"Agriculture","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":35,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Global Affairs Canada; International Development Research Centre","keywords":"Agribusiness; Stakeholder; Context (archaeology); Agriculture; Business; Government (linguistics); Value (mathematics); Value chain; Marketing; Chain (unit); Supply chain; Agricultural science; Industrial organization; Economics; Geography; Management; Mathematics; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.01020232329002578,"gpt":0.1919581922687933,"spread":0.1817558689787675,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001425752,0.000241495,0.0002268291,0.0001676358,0.0001578999,0.0002191661,0.0003620152,0.0001273697,0.0001014508],"category_scores_gemma":[0.0000685198,0.0001750478,0.00006537989,0.00154719,0.00003451977,0.0004375394,0.0002060421,0.0001489984,0.001032017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004109406,"about_ca_system_score_gemma":0.00001397675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000744324,"about_ca_topic_score_gemma":0.0005424318,"domain_scores_codex":[0.9987435,0.00001235878,0.0002103739,0.0003860773,0.0002076158,0.0004400921],"domain_scores_gemma":[0.9994329,0.00001663308,0.00008907937,0.0001763837,0.0002588113,0.00002616357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002099165,0.000995344,0.307769,0.0009341512,0.000153051,0.0005299107,0.001033681,0.0004457854,0.04239096,0.57969,0.05804105,0.007807188],"study_design_scores_gemma":[0.0003672342,0.00001399382,0.7470683,0.0002447926,0.00001702728,0.000006633216,0.0003070091,0.00002784194,0.0004813755,0.0009691052,0.2501609,0.0003358143],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9286742,0.0001581997,0.0001630524,0.004489281,0.0009166424,0.0004437986,0.000004582862,0.0001727632,0.06497743],"genre_scores_gemma":[0.9884639,0.000008044876,0.0001601684,0.007772049,0.003239105,0.00003427623,0.00004482982,0.00001621319,0.000261416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5787209,"threshold_uncertainty_score":0.9997458,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2519210402","doi":"10.3390/agriculture6030046","title":"The Food For Life Catering Mark: Implementing the Sustainability Transition in University Food Procurement","year":2016,"lang":"en","type":"article","venue":"Agriculture","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Wilfrid Laurier University","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs; U.S. Department of Agriculture","keywords":"Sustainability; Procurement; Agency (philosophy); Sociology; Process (computing); Marketing; Business; Social science; Ecology; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.0118272108876678,"gpt":0.1854869584996513,"spread":0.1736597476119835,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005179292,0.000189564,0.0001390369,0.000005850029,0.0008695899,0.00007651331,0.0003837952,0.00009810974,0.00001874853],"category_scores_gemma":[0.00009066694,0.00003616423,0.0001186808,0.0003373212,0.00004295466,0.0001648814,0.0001053181,0.0001028218,0.000002691123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002353218,"about_ca_system_score_gemma":0.00002536353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008227204,"about_ca_topic_score_gemma":0.007895582,"domain_scores_codex":[0.9985574,0.0001127451,0.0002399246,0.0003247792,0.0002228297,0.0005422488],"domain_scores_gemma":[0.9992474,0.0002595622,0.000110744,0.00006725594,0.0002337201,0.00008132491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00158298,0.001193564,0.08358053,0.0004464267,0.0009328472,0.00002117969,0.0108079,0.00008674493,0.09213484,0.1153731,0.1585325,0.5353074],"study_design_scores_gemma":[0.0006020248,0.000404782,0.6400177,0.00004973122,0.00002764196,0.000004537576,0.01120172,0.000003212587,0.002576347,0.006640467,0.3381502,0.0003216449],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681774,0.000135302,0.00004473398,0.02997354,0.00008452177,0.001353396,0.00008293357,0.00005393258,0.0000942648],"genre_scores_gemma":[0.9990765,0.00006434066,0.00002651071,0.0001403465,0.0001960794,0.0000831885,0.00004429337,9.923424e-7,0.0003676877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5564372,"threshold_uncertainty_score":0.668827,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2910863948","doi":"10.3390/agriculture9010020","title":"Evaluating the Effectiveness of Rhizobium Inoculants and Micronutrients as Technologies for Nepalese Common Bean Smallholder Farmers in the Real-World Context of Highly Variable Hillside Environments and Indigenous Farming Practices","year":2019,"lang":"en","type":"article","venue":"Agriculture","topic":"Legume Nitrogen Fixing Symbiosis","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"Global Affairs Canada; International Development Research Centre; U.S. Department of Agriculture","keywords":"Microbial inoculant; Context (archaeology); Agronomy; Nitrogen fixation; Biology; Rhizobium; Crop; Rhizobia; Agroforestry; Agriculture; Crop yield; Micronutrient; Geography; Horticulture; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.02020551576107975,"gpt":0.2708814328126461,"spread":0.2506759170515663,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00123115,0.0001702771,0.0002855432,0.00002071026,0.0001626588,0.00004044752,0.0003370783,0.0001361844,0.000002811053],"category_scores_gemma":[0.0002138849,0.00005109814,0.00004816396,0.0003317789,0.0001200471,0.0001436242,0.0001350752,0.0001791032,0.000001117192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003217491,"about_ca_system_score_gemma":0.000007896543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003505082,"about_ca_topic_score_gemma":0.0006946923,"domain_scores_codex":[0.9985917,0.0003897999,0.000255572,0.000297347,0.0002261523,0.0002394397],"domain_scores_gemma":[0.9974139,0.001933177,0.0004851049,0.0001038566,0.00004496126,0.00001904046],"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":[0.0001084539,0.00008734745,0.26711,0.00007191156,0.00004203229,6.103155e-7,0.0009668956,0.00000137935,0.7281186,0.0001546778,0.000007354964,0.003330702],"study_design_scores_gemma":[0.0006812679,0.0006986139,0.7751332,0.0002018716,0.00009314854,0.00001295615,0.01449482,0.000005190934,0.2076117,0.0005545435,0.0003315003,0.0001812138],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972227,0.0006151412,1.384785e-7,0.0003638517,0.00003682459,0.001590774,0.00004988039,0.00001512475,0.0001055822],"genre_scores_gemma":[0.999558,0.00009211124,0.00009933949,0.00006930775,0.00001461378,0.00008206467,0.00004619927,0.000001724041,0.00003665701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5205069,"threshold_uncertainty_score":0.5298659,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4318834068","doi":"10.3390/agriculture13020352","title":"Automation of Crop Disease Detection through Conventional Machine Learning and Deep Transfer Learning Approaches","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Smart Agriculture and AI","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":"Université du Québec à Montréal","funders":"","keywords":"Artificial intelligence; Machine learning; Transfer of learning; Deep learning; Computer science; Support vector machine; Identification (biology); Pattern recognition (psychology); Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.02128943964736664,"gpt":0.2023169449337715,"spread":0.1810275052864048,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001258192,0.0001537955,0.0001585106,0.00001181134,0.0003325323,0.00004550548,0.00007551949,0.0001135749,0.0001358057],"category_scores_gemma":[0.00004549235,0.00005196316,0.0001127009,0.0005862172,0.00004347624,0.0002017324,0.00003412012,0.0002161985,0.00003262715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001026883,"about_ca_system_score_gemma":0.000002337684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006170474,"about_ca_topic_score_gemma":0.0002299792,"domain_scores_codex":[0.9990228,0.0001007578,0.0001877663,0.0002665041,0.00022736,0.0001948228],"domain_scores_gemma":[0.999684,0.00008832097,0.00006106245,0.00002007396,0.00006771395,0.00007882764],"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":[0.0001294383,0.0002380962,0.08633672,0.0001797667,0.0001375781,0.00001683631,0.001607729,0.00357715,0.8099869,0.001980175,0.001103979,0.09470562],"study_design_scores_gemma":[0.0003179393,0.0002237677,0.9295402,0.00005272887,0.0000764158,0.00001507349,0.00157573,0.003748274,0.008734033,0.0004715516,0.05491538,0.0003289491],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972526,0.0006796569,0.000117862,0.001021106,0.00007654486,0.0001953246,0.00001661208,0.0002349604,0.0004053445],"genre_scores_gemma":[0.997713,0.0002396154,0.00002967554,0.00002762918,0.0002392185,0.00002604969,0.0006475548,0.000001183541,0.001076016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8432034,"threshold_uncertainty_score":0.2557603,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4285012945","doi":"10.3390/agriculture12070995","title":"Detection of Unripe Kernels and Foreign Materials in Chickpea Mixtures Using Image Processing","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":32,"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":"Ilam University","keywords":"Linear discriminant analysis; Support vector machine; Artificial intelligence; Pattern recognition (psychology); Image processing; Artificial neural network; MATLAB; Computer science; Kernel (algebra); Image (mathematics); Mathematics; Machine learning","retraction":null,"screen_n_in":null,"score":{"opus":0.009252900966838755,"gpt":0.2416292306897176,"spread":0.2323763297228788,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007324526,0.0001082251,0.0001917608,0.00007010403,0.0001248934,0.00003043435,0.00008873631,0.00006775439,0.0004118433],"category_scores_gemma":[0.00002899774,0.0000811303,0.00003080217,0.0004968737,0.00002781611,0.00009339339,0.00006974034,0.0001524668,2.769147e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006457189,"about_ca_system_score_gemma":0.00001425431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001679964,"about_ca_topic_score_gemma":0.000009861531,"domain_scores_codex":[0.9993296,0.00001717294,0.000183968,0.0001843103,0.0001448493,0.0001400642],"domain_scores_gemma":[0.9997123,0.00001538257,0.0001422496,0.00007317092,0.00003344025,0.00002348824],"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":[0.00001838845,0.00003906904,0.001153156,0.0001355509,0.00001573458,0.000005266841,0.0002306602,0.00003082749,0.998069,0.00001455609,0.00003147597,0.000256265],"study_design_scores_gemma":[0.0002083668,0.0000143497,0.001656799,0.00001807885,0.00005929515,0.00004927906,0.002100247,0.00005006067,0.9953961,0.000268382,0.00006819562,0.0001108867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966758,0.001478954,0.00007076613,0.00001664125,0.00001781675,0.00004258876,0.00002537887,0.00002365821,0.001648424],"genre_scores_gemma":[0.9994113,0.00002182918,0.0002590329,0.00001867912,0.00006997211,0.00001310458,0.00002027683,0.000007813525,0.0001779237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002735597,"threshold_uncertainty_score":0.4509396,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386303918","doi":"10.3390/agriculture13091719","title":"Allelopathic Effects of Caffeic Acid and Its Derivatives on Seed Germination and Growth Competitiveness of Native Plants (Lantana indica) and Invasive Plants (Solidago canadensis)","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Allelopathy and phytotoxic interactions","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":"University of Prince Edward Island","funders":"Priority Academic Program Development of Jiangsu Higher Education Institutions; Government of Jiangsu Province; National Natural Science Foundation of China","keywords":"Allelopathy; Caffeic acid; Solidago canadensis; Germination; Biology; Botany; Native plant; Invasive species; Biomass (ecology); Introduced species; Agronomy; Biochemistry; Antioxidant","retraction":null,"screen_n_in":null,"score":{"opus":0.01071832011581258,"gpt":0.2157353574833353,"spread":0.2050170373675227,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009264359,0.0001596433,0.00025651,0.00003661575,0.0001757898,0.00001910606,0.00007352715,0.0001277564,0.00000667567],"category_scores_gemma":[0.0001233722,0.00006549127,0.00002528179,0.0002397154,0.00007203844,0.0001510955,0.00006098849,0.000141537,0.00000142681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001601136,"about_ca_system_score_gemma":0.00001208621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001902636,"about_ca_topic_score_gemma":0.001937958,"domain_scores_codex":[0.9991322,0.0001279902,0.0001606833,0.0002430157,0.0001771772,0.0001589932],"domain_scores_gemma":[0.9988468,0.000770007,0.0001733433,0.00002186237,0.0001109866,0.00007698452],"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":[0.000100425,0.00007636935,0.02264319,0.0002512971,0.00008980219,0.00005607894,0.005923598,0.000001345533,0.9682779,0.001319829,0.00009473474,0.001165449],"study_design_scores_gemma":[0.000177495,0.0002635819,0.7476684,0.0003161322,0.00001178634,0.00003248383,0.001947918,0.000005044104,0.2492459,0.0001608005,0.00005668701,0.0001137658],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984675,0.0003464635,4.490407e-7,0.000431766,0.00005950591,0.000289779,0.0002300128,0.00001973823,0.0001547781],"genre_scores_gemma":[0.9985665,0.001071438,0.000004478997,0.00006820761,0.00004718563,0.0000181648,0.0001269779,0.000001145903,0.00009591436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7250252,"threshold_uncertainty_score":0.2670657,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3155695487","doi":"10.3390/agriculture11040348","title":"Short-Term Carbon Sequestration and Changes of Soil Organic Carbon Pools in Rice under Integrated Nutrient Management in India","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; University of Guelph","funders":"","keywords":"Soil carbon; Total organic carbon; Agronomy; Nutrient management; Fertilizer; Carbon sequestration; Vermicompost; Straw; Chemistry; Phosphorus; Carbon fibers; Nutrient; Animal science; Nitrogen; Soil water; Biology; Environmental chemistry; Mathematics; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.01147358473684613,"gpt":0.2080628450633406,"spread":0.1965892603264945,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001011244,0.0001536946,0.0002000606,0.00002728087,0.00002084854,0.00002987335,0.00009081935,0.0001658323,0.00001112136],"category_scores_gemma":[0.00001046966,0.00006320279,0.0000289878,0.0009214719,0.00002401371,0.00003742541,0.00006609725,0.0001696945,3.289002e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008170616,"about_ca_system_score_gemma":0.000009426052,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008059183,"about_ca_topic_score_gemma":0.02151356,"domain_scores_codex":[0.9990463,0.00008490612,0.0002042821,0.0002890344,0.000172864,0.0002025953],"domain_scores_gemma":[0.9997348,0.00003396819,0.00005607704,0.00004949483,0.0000735666,0.0000521477],"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":[0.00002496956,0.0002340515,0.1065478,0.00004853304,0.00003449255,0.0001199512,0.0003777931,0.00001415265,0.8875304,0.0008312197,0.00001307666,0.004223605],"study_design_scores_gemma":[0.0001886694,0.00006702221,0.9642674,0.00007136145,0.00001987444,0.00001332305,0.002485648,0.0002207314,0.0322344,0.0002542195,0.0000161025,0.0001612262],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974397,0.0005596456,1.573808e-7,0.0004626228,0.0000614219,0.000209158,0.000009909392,0.00002280057,0.001234586],"genre_scores_gemma":[0.9989421,0.0006283923,0.0000165582,0.00008683136,0.00004546029,0.00002135405,0.000170883,0.00000121262,0.00008724385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8577197,"threshold_uncertainty_score":0.9963413,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3137918130","doi":"10.3390/agriculture11030265","title":"Impact of Tillage and Crop Residue Management on the Weed Community and Wheat Yield in a Wheat–Maize Double Cropping System","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Key Research and Development Program of China; Canadian Food Inspection Agency","keywords":"Agronomy; Tillage; Crop residue; Mulch; Weed control; Weed; Cropping system; Residue (chemistry); Crop; Conventional tillage; Crop yield; No-till farming; Field experiment; Biology; Environmental science; Agriculture; Soil water; Soil fertility","retraction":null,"screen_n_in":null,"score":{"opus":0.02469780315997231,"gpt":0.2309174573067589,"spread":0.2062196541467866,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001880684,0.0001185739,0.0001812463,0.000007979796,0.0002950927,0.00007360258,0.000140295,0.0000814112,0.00004365512],"category_scores_gemma":[0.00001137363,0.00003340726,0.00005872139,0.0003093117,0.00004016463,0.00004589247,0.0001099221,0.0002094756,0.00000325551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002981616,"about_ca_system_score_gemma":0.00000422199,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01522915,"about_ca_topic_score_gemma":0.009755617,"domain_scores_codex":[0.9992933,0.0001123476,0.0001634399,0.0001657773,0.000105329,0.0001598473],"domain_scores_gemma":[0.9995051,0.0002260017,0.00005718306,0.0001020222,0.00005816825,0.00005150534],"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":[0.00005700857,0.0001150751,0.003010773,0.00005364999,0.00005445741,0.000010281,0.000371902,0.00001496959,0.9833201,0.008103848,0.002204644,0.002683291],"study_design_scores_gemma":[0.0002697888,0.0001049465,0.9927787,0.0001802162,0.0000213866,0.0000162061,0.003773294,0.00001044326,0.001844999,0.0002056446,0.0006951463,0.00009925498],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865668,0.0005408521,4.048648e-7,0.003527015,0.00001157883,0.0003557394,0.00001960172,0.00002169933,0.008956353],"genre_scores_gemma":[0.999288,0.00003079754,0.00001272745,0.0001277911,0.00004436863,0.00005607209,0.00001700086,6.708254e-7,0.0004225641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9897679,"threshold_uncertainty_score":0.9913285,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4210589460","doi":"10.3390/agriculture12020219","title":"Soil Compaction from Wheel Traffic under Three Tillage Systems","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Soil Management and Crop Yield","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Manitoba","funders":"","keywords":"Tillage; Tine; Soil compaction; Environmental science; Mulch-till; Loam; Agronomy; Bulk density; Minimum tillage; Strip-till; Water content; No-till farming; Soil water; Soil science; Soil fertility; Engineering; Geotechnical engineering; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.01823609921716083,"gpt":0.183817011532676,"spread":0.1655809123155152,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008259888,0.0001478337,0.0001500472,0.000007522031,0.0005352984,0.0001241599,0.0002828979,0.00006779434,0.001411863],"category_scores_gemma":[0.000003838067,0.00004967803,0.0001014047,0.000358392,0.00001656922,0.00009820293,0.000117215,0.0002007009,0.0001004295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005325821,"about_ca_system_score_gemma":0.00000265332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001667612,"about_ca_topic_score_gemma":0.00310494,"domain_scores_codex":[0.998935,0.00006417944,0.0001461038,0.0002894884,0.0003383978,0.000226831],"domain_scores_gemma":[0.9996909,0.0000689697,0.00008546878,0.0000607433,0.000030166,0.00006368717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001185642,0.0007103278,0.01551499,0.00002351034,0.000282407,0.00005314799,0.0005501938,0.03806422,0.2133255,0.003919552,0.66948,0.05795755],"study_design_scores_gemma":[0.00033557,0.0002726481,0.6419493,0.00001642508,0.00007247291,0.00001153808,0.01217874,0.001088779,0.0001938249,0.0005545046,0.342789,0.0005371996],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918178,0.0006633991,0.00000310762,0.002284208,0.0006618971,0.0002210786,0.00007309958,0.0001888998,0.004086517],"genre_scores_gemma":[0.9964157,0.00001961427,0.000002879701,0.0003547905,0.0006063437,0.0000506731,0.0004232311,9.919166e-7,0.002125797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6264343,"threshold_uncertainty_score":0.999501,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2954512991","doi":"10.3390/agriculture9060133","title":"Impact of Soil Amendments on the Hydraulic Conductivity of Boreal Agricultural Podzols","year":2019,"lang":"en","type":"article","venue":"Agriculture","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Government of Newfoundland and Labrador; Memorial University of Newfoundland","funders":"Memorial University of Newfoundland; Research and Development Corporation of Newfoundland and Labrador","keywords":"Infiltrometer; Hydraulic conductivity; Loam; Infiltration (HVAC); Soil conditioner; Soil water; Environmental science; Agronomy; Randomized block design; Soil science; Podzol; Bulk density; Manure; Materials science; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.007679868786710366,"gpt":0.2040291947601133,"spread":0.196349325973403,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004606024,0.0001869584,0.0002384257,0.00002235956,0.00002238447,0.00001195705,0.0001731633,0.0001265601,0.00006837112],"category_scores_gemma":[0.00001179656,0.00007591717,0.0001814737,0.0002861095,0.00002535193,0.0001058155,0.00001799095,0.0002431958,0.00004326333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005032052,"about_ca_system_score_gemma":0.000009628712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002100822,"about_ca_topic_score_gemma":0.0000139345,"domain_scores_codex":[0.999283,0.0000264006,0.0001696296,0.0001254631,0.0001995696,0.0001959086],"domain_scores_gemma":[0.9995471,0.0000588098,0.00007019227,0.0001970586,0.00008108898,0.00004576967],"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":[0.00005016937,0.000253688,0.0194194,0.0001151361,0.0007383463,0.000003300531,0.001170333,0.05445316,0.8444977,0.001211633,0.077004,0.001083068],"study_design_scores_gemma":[0.0003828229,0.0002056719,0.8975068,0.00006956783,0.00002988824,0.000009198663,0.0002632345,0.0004512162,0.1006571,0.00004909365,0.0001809676,0.0001944845],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843916,0.0001002999,8.908641e-7,0.00007356109,0.0001980705,0.0002043296,0.00004473254,0.00006106924,0.01492542],"genre_scores_gemma":[0.9995783,0.0000252294,0.00000598006,0.00001801665,0.00006358262,0.000007599527,0.00004985374,0.000008985481,0.0002424429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8780874,"threshold_uncertainty_score":0.3095812,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2397611381","doi":"10.3390/agriculture6020022","title":"Small Scale Farmers’ Indigenous Agricultural Adaptation Options in the Face of Declining or Stagnant Crop Yields in the Fako and Meme Divisions of Cameroon","year":2016,"lang":"en","type":"article","venue":"Agriculture","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Arable land; Population; Livelihood; Geography; Agriculture; Context (archaeology); Socioeconomics; Agricultural diversification; Agricultural economics; Peasant; Poverty; Agricultural productivity; Agricultural science; Economic growth; Economics; Demography; Sociology; Environmental science","retraction":null,"screen_n_in":null,"score":{"opus":0.07030455438505763,"gpt":0.2632135019933535,"spread":0.1929089476082959,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005842128,0.0001813513,0.0002297713,0.00002377386,0.00024034,0.00006010909,0.000416522,0.0001538903,0.0000531469],"category_scores_gemma":[0.0001581635,0.00003241591,0.00007213986,0.001301701,0.0001039749,0.00031771,0.00006156304,0.0002320001,0.000002703105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001871075,"about_ca_system_score_gemma":0.00001218312,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001913358,"about_ca_topic_score_gemma":0.02223253,"domain_scores_codex":[0.9984453,0.0002876112,0.0004813771,0.0002504001,0.0002799891,0.0002553248],"domain_scores_gemma":[0.9982171,0.001134745,0.0003510042,0.00008074618,0.000184043,0.00003237636],"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":[0.0001287609,0.0009355937,0.04655189,0.00004863576,0.00005984405,0.00001533471,0.04914758,0.0002105405,0.7360005,0.00235873,0.001289204,0.1632533],"study_design_scores_gemma":[0.0002048864,0.0003269603,0.9040295,0.0001192896,0.00002643745,0.00003114887,0.09143731,0.000003937152,0.0008661695,0.0001078534,0.002692371,0.0001541637],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922531,0.000412075,0.00001138619,0.006374308,0.00004322622,0.0005318315,0.00008137805,0.00001156087,0.0002811468],"genre_scores_gemma":[0.9986827,0.0006248583,0.0001690991,0.0001420023,0.0000689275,0.0000510557,0.0000598966,7.746974e-7,0.0002007009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8574776,"threshold_uncertainty_score":0.9956092,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3009692694","doi":"10.3390/agriculture10030060","title":"Modelling Climate Change Impact on Irrigation Water Requirement and Yield of Winter Wheat (Triticum aestivum L.), Barley (Hordeum vulgare L.), and Fodder Maize (Zea mays L.) in the Semi-Arid Qazvin Plateau, Iran","year":2020,"lang":"en","type":"article","venue":"Agriculture","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Agronomy; Fodder; Irrigation; Environmental science; Hordeum vulgare; Arid; Precipitation; Climate change; Yield (engineering); Poaceae; Cultivar; Drought tolerance; Biology; Geography; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.02432239599192264,"gpt":0.2133942607170162,"spread":0.1890718647250935,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001592652,0.000194014,0.0001734767,0.00002751562,0.0000892229,0.00004541043,0.0001207547,0.0001197646,0.00007585526],"category_scores_gemma":[0.000004276343,0.00009266251,0.00004616711,0.0001358461,0.00005231303,0.0002571653,0.0001060997,0.0002201959,0.0000120734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004649463,"about_ca_system_score_gemma":0.000001235187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000412238,"about_ca_topic_score_gemma":0.0001647806,"domain_scores_codex":[0.9989267,0.00004982174,0.0002181082,0.0002927784,0.0002376528,0.000274919],"domain_scores_gemma":[0.9997163,0.00002949219,0.00005033085,0.000114399,0.000007861814,0.00008161913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006424391,0.0005888348,0.2873821,0.0003703303,0.0001553018,0.0002261297,0.08106065,0.4440059,0.1742962,0.0009293618,0.006588102,0.003754684],"study_design_scores_gemma":[0.002426102,0.001459832,0.3476386,0.0008356406,0.0002401638,0.000229222,0.003233301,0.6312044,0.00796501,0.001554459,0.00175753,0.001455694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948094,0.00008541124,0.0001709172,0.003307881,0.00003212013,0.0003260453,0.00007515759,0.00001668841,0.001176329],"genre_scores_gemma":[0.9990638,0.000154174,0.00006685191,0.0005130746,0.00004437239,0.00002321064,0.00009289068,0.00000882446,0.00003273528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1871986,"threshold_uncertainty_score":0.3778668,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3093470871","doi":"10.3390/agriculture10100471","title":"Investigating the Influence of Biochar Amendment on the Physicochemical Properties of Podzolic Soil","year":2020,"lang":"en","type":"article","venue":"Agriculture","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Biochar; Topsoil; Amendment; Cation-exchange capacity; Soil water; Bulk density; Chemistry; Soil science; Soil pH; Soil horizon; Environmental science; Agronomy; Environmental chemistry; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.02427379860622762,"gpt":0.1903269842424133,"spread":0.1660531856361857,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000667259,0.0001069317,0.0001275584,0.000001579003,0.00008520981,0.00001474772,0.0003221694,0.00005151333,0.00001369757],"category_scores_gemma":[0.0001148981,0.00002117298,0.00009054057,0.0003264731,0.000156988,0.00002853036,0.00007530166,0.0001500246,0.0000073657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006627653,"about_ca_system_score_gemma":0.000005812528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002123664,"about_ca_topic_score_gemma":0.00003709597,"domain_scores_codex":[0.999287,0.00005420467,0.0001618826,0.0001367363,0.0002385303,0.0001216183],"domain_scores_gemma":[0.9996054,0.00008119735,0.0001280196,0.00005044053,0.00008676881,0.00004816804],"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":[0.000005693629,0.00002617444,0.0006058301,0.00001010801,0.0000128884,1.172284e-7,0.000587299,0.00016554,0.9971073,0.000778515,0.0003954129,0.000305074],"study_design_scores_gemma":[0.0000458702,0.0001384223,0.02671608,0.00006151704,0.00001418506,0.000001108767,0.001364976,0.0001606849,0.9711124,0.0001322332,0.0001670663,0.00008543298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845446,0.0001522578,2.286481e-8,0.01498546,0.00001121184,0.0001535013,0.00001490497,0.00001931228,0.0001187609],"genre_scores_gemma":[0.9975397,0.00001991171,0.000003957678,0.002280553,0.0001248397,0.00001405651,0.000007004543,5.763072e-7,0.000009375491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02611025,"threshold_uncertainty_score":0.08634093,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3092615189","doi":"10.3390/agriculture10100464","title":"Structural and Physicochemical Characterization of Chitosan Obtained by UAE and Its Effect on the Growth Inhibition of Pythium ultimum","year":2020,"lang":"en","type":"article","venue":"Agriculture","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Consejo Nacional de Ciencia y Tecnología; International Development Research Centre","keywords":"Pythium ultimum; Chitosan; Extraction (chemistry); Chitin; Nuclear chemistry; Fourier transform infrared spectroscopy; Crystallinity; Chemistry; Food science; Chromatography; Botany; Rhizoctonia solani; Biology; Biochemistry; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.004761894771520499,"gpt":0.1866258003732593,"spread":0.1818639056017388,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003750229,0.0001180337,0.0001719347,0.000009641888,0.00005489449,0.00002374424,0.00006567061,0.00005800757,0.000007049734],"category_scores_gemma":[0.00003979762,0.00006241767,0.0000259698,0.0001391022,0.00004498964,0.0001260572,0.00004647409,0.00008489425,0.000001165413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003009591,"about_ca_system_score_gemma":0.000003187999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004668816,"about_ca_topic_score_gemma":1.21882e-7,"domain_scores_codex":[0.9993742,0.00006209448,0.0001377674,0.0001802773,0.0001479571,0.00009776805],"domain_scores_gemma":[0.9996811,0.00005277494,0.0001363707,0.00005365577,0.00003107072,0.00004505699],"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":[0.00004751156,0.000008666954,0.0002644942,0.0001105192,0.000006021872,3.206172e-7,0.0006307518,5.09847e-7,0.9985113,0.0002823703,0.0001077682,0.00002975726],"study_design_scores_gemma":[0.0002734181,0.0002265031,0.01067474,0.00005749712,0.00001917757,0.000003394923,0.00002549843,0.00006351003,0.9885563,0.00001750178,0.000004442409,0.00007797299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981539,0.00004032632,0.000003506696,0.001316032,0.00003704111,0.0002716069,0.000110135,0.0000239277,0.00004349549],"genre_scores_gemma":[0.9996192,0.000004594407,0.00001465782,0.0001349114,0.00008014278,0.000006052819,0.0001326514,0.00000579436,0.000002033571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01041025,"threshold_uncertainty_score":0.2545319,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4377091168","doi":"10.3390/agriculture13051091","title":"Vegetation Indices for Predicting the Growth and Harvest Rate of Lettuce","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Strong","keywords":"Lactuca; Hue; Mathematics; Leaf area index; Horticulture; Transplanting; Normalized Difference Vegetation Index; Environmental science; Biology; Statistics; Botany; Sowing","retraction":null,"screen_n_in":null,"score":{"opus":0.02685510341227609,"gpt":0.2033585060758463,"spread":0.1765034026635702,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002709796,0.00006915477,0.00007783851,0.000004039819,0.0002190442,0.00004147958,0.0001059281,0.00004596842,0.000003646453],"category_scores_gemma":[0.00009753324,0.00001560223,0.00003882222,0.0002460825,0.00003085082,0.00009228349,0.00003196838,0.00005126077,0.000003102646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003315735,"about_ca_system_score_gemma":0.000002236874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001898662,"about_ca_topic_score_gemma":0.000270295,"domain_scores_codex":[0.9994899,0.00003943713,0.000114464,0.000130126,0.00009627378,0.0001297905],"domain_scores_gemma":[0.9996464,0.0001538148,0.00007689736,0.00002014488,0.00007675999,0.00002598992],"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":[0.00001968366,0.0000237825,0.01801383,0.0001024983,0.00003022232,4.788324e-7,0.001000982,0.00001290781,0.9623341,0.001205964,0.005831686,0.01142388],"study_design_scores_gemma":[0.0001235465,0.0001601276,0.9577758,0.00004292227,0.00002245688,0.000001439431,0.001375662,0.00006730706,0.03215426,0.000479988,0.007711169,0.00008530603],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914513,0.0003684984,0.000001084828,0.007610558,0.00007196445,0.0002759067,0.00001556331,0.00004074681,0.0001644226],"genre_scores_gemma":[0.9991801,0.00008585409,0.00001362812,0.0002247776,0.0002187729,0.00004209835,0.00004219629,4.573586e-7,0.0001920899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.939762,"threshold_uncertainty_score":0.1684733,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3097382449","doi":"10.3390/agriculture10110524","title":"Row-Intercropping Maize (Zea mays L.) with Biodiversity-Enhancing Flowering-Partners—Effect on Plant Growth, Silage Yield, and Composition of Harvest Material","year":2020,"lang":"en","type":"article","venue":"Agriculture","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Ministry of Rural Affairs","keywords":"Intercropping; Biology; Agronomy; Vicia sativa; Biodiversity; Sowing; Crop; Weed; Agriculture; Biomass (ecology); Agroforestry; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.01561514945108253,"gpt":0.1919029507622864,"spread":0.1762878013112038,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001162749,0.0002139814,0.0003058136,0.000009170501,0.0001892544,0.0001341642,0.0001773439,0.0001163256,0.00006493795],"category_scores_gemma":[0.00002771701,0.00007389957,0.00007254198,0.0001290208,0.00004704789,0.0002719967,0.00009236873,0.0001751547,0.00002769313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002565156,"about_ca_system_score_gemma":0.000003153928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006685754,"about_ca_topic_score_gemma":0.0002124157,"domain_scores_codex":[0.9989917,0.00007782586,0.000215305,0.0003494885,0.000153775,0.0002119005],"domain_scores_gemma":[0.9994659,0.0001492293,0.0001750492,0.00003868558,0.00004809374,0.0001230252],"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":[0.0004333651,0.0000316633,0.002184385,0.00007806619,0.00004379087,0.00002507528,0.0004036147,0.000006633407,0.9917009,0.00003799859,0.004779261,0.0002752012],"study_design_scores_gemma":[0.0009586688,0.007680895,0.09480413,0.001265739,0.0001838258,0.0002358141,0.003710191,0.00007757285,0.8825564,0.000005260557,0.007552174,0.0009693523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966643,0.00003728571,0.00001468951,0.001920518,0.0001541302,0.0002544558,0.0001677209,0.00006663056,0.0007203],"genre_scores_gemma":[0.9990353,0.00001634672,0.00002842304,0.0003879573,0.0003369755,0.000005484147,0.0001435494,0.000001175592,0.00004481681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1091446,"threshold_uncertainty_score":0.3013537,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1528104118","doi":"10.3390/agriculture5020313","title":"Fermented Apple Pomace as a Feed Additive to Enhance Growth Performance of Growing Pigs and Its Effects on Emissions","year":2015,"lang":"en","type":"article","venue":"Agriculture","topic":"Microbial Metabolites in Food Biotechnology","field":"Nursing","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval; Institut de Recherche et de Développement en Agroenvironnement; Institut National de la Recherche Scientifique","funders":"","keywords":"Pomace; Food science; Phanerochaete; Chrysosporium; Solid-state fermentation; Fermentation; Chemistry; Single-cell protein; Feed conversion ratio; Animal feed; Odor; Feed additive; Biology; Botany; Broiler; Lignin; Body weight","retraction":null,"screen_n_in":null,"score":{"opus":0.005928276657314963,"gpt":0.2459331742464657,"spread":0.2400048975891507,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000102436,0.0002194772,0.0002912249,0.00009291161,0.0001003379,0.00001585874,0.0002133912,0.0002638572,0.000009879873],"category_scores_gemma":[0.000469028,0.0001526027,0.00004134344,0.0005543215,0.00003444712,0.0001434289,0.0001333746,0.000313339,0.00006169901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006982282,"about_ca_system_score_gemma":0.00001402909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001991251,"about_ca_topic_score_gemma":0.000003552509,"domain_scores_codex":[0.9988586,0.00007459092,0.0001868848,0.0003669093,0.0002051093,0.0003079548],"domain_scores_gemma":[0.9992375,0.00008359907,0.0001085193,0.0001714968,0.0002200295,0.0001788089],"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":[0.0003305963,0.00007366895,0.0001074713,0.00008520356,0.0000219203,0.000004329113,0.0009872097,0.00000361298,0.983963,0.0003820987,0.01051156,0.003529288],"study_design_scores_gemma":[0.0004258881,0.001400747,0.002488402,0.0003984352,0.00003900016,0.00003220228,0.0002503311,0.000009169765,0.981236,0.00006901743,0.01343972,0.0002110294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955013,0.0005396056,0.00000408322,0.002164464,0.0003993593,0.0006443942,0.00004660146,0.0001139247,0.0005862543],"genre_scores_gemma":[0.9981207,0.00002643197,0.0004739481,0.0008693082,0.0001425404,0.00003889821,0.00003620813,0.00001596453,0.0002759956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003318258,"threshold_uncertainty_score":0.6222956,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4220840226","doi":"10.3390/agriculture12030382","title":"Reconnecting with Nature through Good Governance: Inclusive Policy across Scales","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Wilfrid Laurier University; Balsillie School of International Affairs","funders":"","keywords":"Corporate governance; Environmental governance; Planetary boundaries; Ecosystem services; Sustainability; Agroecology; Political science; Sustainable development; Environmental resource management; Natural resource economics; Agriculture; Business; Economics; Ecosystem; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.002568470055161572,"gpt":0.2344567012572205,"spread":0.2318882312020589,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001787002,0.0003131957,0.0002233663,0.000006192967,0.001614252,0.00005884857,0.0004903835,0.0001818718,0.001519924],"category_scores_gemma":[0.00006639529,0.000183715,0.0001114883,0.0008905498,0.0002113946,0.0006035551,0.001251864,0.001078415,0.00009212276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001906213,"about_ca_system_score_gemma":0.00001890605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001589763,"about_ca_topic_score_gemma":0.001123783,"domain_scores_codex":[0.9977654,0.0001099764,0.0001936832,0.0005918757,0.0006884564,0.0006506115],"domain_scores_gemma":[0.9993293,0.00005355035,0.0001874712,0.0002893361,0.00001075281,0.0001296333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006997699,0.002905228,0.4787825,0.0001650258,0.0004118346,0.0007223348,0.08100332,0.1266082,0.03373779,0.01234146,0.2354637,0.02715884],"study_design_scores_gemma":[0.0007297707,0.0004571441,0.6426629,0.00001567917,0.00002513408,0.0005493449,0.03555613,0.000009435826,0.002215084,0.00209656,0.3149663,0.0007164964],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634002,0.000285376,0.0000188117,0.008588478,0.0001130375,0.0004834967,0.0001417283,0.0001040952,0.0268648],"genre_scores_gemma":[0.9938393,0.00003591465,0.0004699843,0.002092236,0.0002412244,0.0000980499,0.00007100945,0.00001897181,0.003133273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1638804,"threshold_uncertainty_score":0.9996855,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2510354505","doi":"10.3390/agriculture6030041","title":"Creole Hens and Ranga-Ranga: Campesino Foodways and Biocultural Resource-Based Development in the Central Valley of Tarija, Bolivia","year":2016,"lang":"en","type":"article","venue":"Agriculture","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Foodways; Creole language; Geography; Anthropology; Sociology; Philosophy; Linguistics","retraction":null,"screen_n_in":null,"score":{"opus":0.007561508636240237,"gpt":0.1596115932370062,"spread":0.1520500846007659,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002137121,0.00027524,0.0002785944,0.00001221996,0.0002371487,0.00006514733,0.0002874458,0.0002028509,0.00006540561],"category_scores_gemma":[0.00005058927,0.000058553,0.0000780918,0.000371616,0.0001199645,0.0001172294,0.00007708328,0.0001684316,0.000005275096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002782702,"about_ca_system_score_gemma":0.00001338196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001760839,"about_ca_topic_score_gemma":0.002029476,"domain_scores_codex":[0.9984316,0.000144208,0.0002982285,0.0003852112,0.0003005996,0.0004401761],"domain_scores_gemma":[0.9993938,0.0002179028,0.0001215979,0.00006814426,0.00007064935,0.0001278972],"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":[0.0001024144,0.0002613508,0.0203782,0.00004525944,0.00004512624,0.00001654835,0.002658892,0.000001225668,0.9302918,0.0004871965,0.02643972,0.01927227],"study_design_scores_gemma":[0.0006180186,0.0002497323,0.8249508,0.000143669,0.00002311531,0.00002800019,0.002078077,7.388083e-7,0.02631456,0.00005070039,0.1452366,0.0003060874],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826081,0.001345096,0.000001102584,0.01530278,0.00005373504,0.000348998,0.00007044576,0.00003798544,0.0002317873],"genre_scores_gemma":[0.9988298,0.00009932688,0.00010892,0.0003985845,0.0002100186,0.00001686761,0.00005635443,0.000001424445,0.000278652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9039772,"threshold_uncertainty_score":0.2387722,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2725205211","doi":"10.3390/agriculture7070053","title":"Validation of the Ability of a 3D Pedometer to Accurately Determine the Number of Steps Taken by Dairy Cows When Housed in Tie-Stalls","year":2017,"lang":"en","type":"article","venue":"Agriculture","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Novalait; Dairy Farmers of Canada; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Pedometer; Mathematics; Animal science; Statistics; Physical activity; Physical therapy; Medicine; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.06650814650412822,"gpt":0.3377097511121801,"spread":0.2712016046080519,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000193296,0.0001452794,0.0002939834,0.00001178422,0.000119415,0.00001838183,0.0004989487,0.00009273786,0.00007685235],"category_scores_gemma":[0.0001715139,0.00006474116,0.0001133626,0.00008771468,0.0001405282,0.0001344884,0.0002811376,0.0001261065,0.000005222176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002159559,"about_ca_system_score_gemma":0.00001190827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007696757,"about_ca_topic_score_gemma":0.0001383307,"domain_scores_codex":[0.9989796,0.0001094785,0.0003512537,0.0001854252,0.0002346444,0.000139585],"domain_scores_gemma":[0.9988105,0.00008329223,0.0003594208,0.0005319556,0.0001914575,0.00002332163],"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":[0.0002786923,0.0002999112,0.3306275,0.00009553342,0.00005434999,0.000003478111,0.006641517,0.000002510853,0.652753,0.0000301666,0.00805689,0.001156499],"study_design_scores_gemma":[0.0003583106,0.0001898091,0.9778488,0.00005630672,0.00005430809,0.000006393835,0.0007231762,8.941701e-7,0.01948141,0.00003542497,0.001145554,0.00009961893],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971271,0.00003478554,0.000005105044,0.0005649013,0.00007130604,0.0004998702,0.0002387013,0.00000882758,0.001449386],"genre_scores_gemma":[0.9995723,0.000006575623,0.00008531533,0.00002735604,0.00002691047,0.00003544373,0.00001066916,0.000008094451,0.0002272847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6472213,"threshold_uncertainty_score":0.2640068,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2988175174","doi":"10.3390/agriculture9110240","title":"Combination of Ascophyllum nodosum Extract and Humic Acid Improve Early Growth and Reduces Post-Harvest Loss of Lettuce and Spinach","year":2019,"lang":"en","type":"article","venue":"Agriculture","topic":"Plant Growth Enhancement Techniques","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Mitacs","keywords":"Spinach; Ascophyllum; Horticulture; Biomass (ecology); Biology; Antioxidant; Leafy vegetables; Humic acid; Botany; Chemistry; Food science; Agronomy; Biochemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.005103153863332686,"gpt":0.1901316549188733,"spread":0.1850285010555406,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001105309,0.0001500476,0.0002345699,0.00001578196,0.00005303406,0.00003769311,0.0001204692,0.0001392482,0.00001235282],"category_scores_gemma":[0.0000273388,0.00005688599,0.00003070559,0.0001537748,0.00009825819,0.0003282842,0.00008055207,0.0001114619,0.000001351767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005683356,"about_ca_system_score_gemma":0.000003036572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003306078,"about_ca_topic_score_gemma":0.00004851426,"domain_scores_codex":[0.9991711,0.00003681126,0.0002026665,0.0002756255,0.0001624344,0.0001513763],"domain_scores_gemma":[0.999533,0.00006521056,0.000195931,0.00003832691,0.0001156537,0.00005186135],"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":[0.00002421754,0.00006442495,0.02164688,0.00006897683,0.00001151376,0.000001098076,0.00009381081,6.362307e-9,0.974894,0.0004265699,0.00008593848,0.002682536],"study_design_scores_gemma":[0.0001151328,0.0006237414,0.508284,0.00005218856,0.00001065806,0.000009984162,0.0001079204,8.154693e-7,0.4905085,0.0001481627,0.00004367988,0.00009516544],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977694,0.0006833815,7.491728e-7,0.0007335535,0.00004389241,0.0003606073,0.00009634467,0.00003370283,0.0002783914],"genre_scores_gemma":[0.9992666,0.0003293552,0.0001134638,0.00003960712,0.00003627292,0.000007465218,0.00006538828,9.868354e-7,0.0001408401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4866372,"threshold_uncertainty_score":0.2319743,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4311521180","doi":"10.3390/agriculture12122083","title":"A Convolutional Neural Network Method for Rice Mapping Using Time-Series of Sentinel-1 and Sentinel-2 Imagery","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Remote sensing; Multispectral image; Earth observation; Computer science; Deep learning; Satellite imagery; Normalized Difference Vegetation Index; Synthetic aperture radar; Convolutional neural network; Satellite; Artificial intelligence; Environmental science; Geography; Geology; Climate change; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01087312123876717,"gpt":0.2200016876436551,"spread":0.2091285664048879,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003260838,0.0001948162,0.0002491204,0.00001899243,0.000505052,0.00003305636,0.0001559408,0.00007044272,0.0001694823],"category_scores_gemma":[0.00004021142,0.0001392802,0.0001182791,0.0005233978,0.0001051649,0.000187605,0.0004235327,0.0002134774,0.000007488157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009463648,"about_ca_system_score_gemma":0.000008848228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006466571,"about_ca_topic_score_gemma":0.000002824214,"domain_scores_codex":[0.9985349,0.0001506322,0.0002658244,0.00037449,0.0003384222,0.0003357539],"domain_scores_gemma":[0.9994125,0.0001202581,0.0002327196,0.0001296558,0.00003718048,0.00006770493],"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":[0.00003631032,0.00005473798,0.007002277,0.00004194737,0.00005236889,0.00001028759,0.0004773876,0.07728542,0.7836331,0.00006016811,0.1311014,0.0002446256],"study_design_scores_gemma":[0.001744333,0.0001288733,0.5833611,0.00009148901,0.0003443874,0.002701873,0.002137525,0.2566498,0.005145669,0.001553643,0.1445701,0.001571126],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906111,0.000426397,0.004471412,0.001768064,0.0003523377,0.0006568868,0.00006394263,0.00009764566,0.001552186],"genre_scores_gemma":[0.5271414,0.00003091779,0.4567491,0.002109925,0.001582659,0.00004676829,0.0005934359,0.00007961989,0.01166619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7784874,"threshold_uncertainty_score":0.5679683,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2907881069","doi":"10.3390/agriculture9010006","title":"Modeling Yields Response to Shading in the Field-to-Forest Transition Zones in Heterogeneous Landscapes","year":2019,"lang":"en","type":"article","venue":"Agriculture","topic":"Agroforestry and silvopastoral systems","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Shading; Environmental science; Arable land; Irradiance; Transpiration; Yield (engineering); Atmospheric sciences; Ecology; Agriculture; Geology; Biology; Botany; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01092572790188445,"gpt":0.211763912623902,"spread":0.2008381847220176,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003635797,0.0001299904,0.000158577,0.00002005436,0.00007488901,0.00006109811,0.0002679635,0.0001478327,0.00004260197],"category_scores_gemma":[0.00004310305,0.00003820934,0.00006182602,0.0005348438,0.000002473933,0.00009287606,0.00002672348,0.0001671653,0.00008055417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002248194,"about_ca_system_score_gemma":0.000002821526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00094013,"about_ca_topic_score_gemma":0.01530774,"domain_scores_codex":[0.9989746,0.0001616396,0.0001770737,0.0002488924,0.000174307,0.0002634742],"domain_scores_gemma":[0.9996226,0.0002140959,0.0000203113,0.00005591138,0.00002386125,0.00006321823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001901852,0.0002629556,0.07952876,0.00004492688,0.00001757427,0.0001562221,0.01245741,0.4643451,0.4317818,0.0003972802,0.003388206,0.00571793],"study_design_scores_gemma":[0.001017757,0.003522225,0.9192857,0.000934417,0.00002385258,0.0002099263,0.02023542,0.01814597,0.00306613,0.0007109491,0.03126122,0.001586419],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836172,0.00005519715,0.00002374733,0.01561736,0.00008868988,0.0004626889,0.000006816719,0.00002293506,0.0001053098],"genre_scores_gemma":[0.9980567,0.000003489939,0.00001962958,0.001567324,0.0001901707,0.00004251467,0.00001880549,7.052373e-7,0.000100699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.839757,"threshold_uncertainty_score":0.8542079,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2591876354","doi":"10.3390/agriculture7030020","title":"The Impact of a Warming Micro‐Climate on Muooni  Farmers of Kenya","year":2017,"lang":"en","type":"article","venue":"Agriculture","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"International Development Research Centre; Universität Siegen","keywords":"Climate change; Deforestation (computer science); Environmental science; Reforestation; Agroforestry; Agriculture; Geography; Drainage basin; Water resources; Global warming; Population; Rainfed agriculture; Effects of global warming; Water resource management; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.007515092416628758,"gpt":0.2390231611593857,"spread":0.231508068742757,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000124289,0.00008296506,0.0001040878,0.000005745198,0.0004910596,0.00001163896,0.000300785,0.00003722983,0.00005516599],"category_scores_gemma":[0.00002415361,0.00003485168,0.00008585306,0.00003001066,0.0002724867,0.00006569766,0.0002319222,0.00006554379,0.00005775516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002196929,"about_ca_system_score_gemma":9.829955e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004205729,"about_ca_topic_score_gemma":0.00005686231,"domain_scores_codex":[0.9995085,0.00001760928,0.0000954841,0.0001133524,0.0000888474,0.0001762322],"domain_scores_gemma":[0.9995695,0.00002512449,0.0001539005,0.000227343,0.000005280567,0.00001889167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001282686,0.0001908729,0.7795579,0.0000271135,0.0003479286,0.00001130975,0.002565273,0.003620443,0.1547729,0.0003599006,0.053542,0.004876062],"study_design_scores_gemma":[0.0001893173,0.0001261829,0.9850234,0.00001612791,0.00002422845,0.000001169743,0.0002509588,0.00001369991,0.01140319,0.0001717358,0.002704423,0.00007555635],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757529,0.0000355605,0.000001049348,0.0007843126,0.00005206822,0.0001004891,0.000006005315,0.00000593845,0.02326167],"genre_scores_gemma":[0.9991463,0.00018789,0.00002559534,0.00002788506,0.00001303569,0.000004128797,0.000001480269,0.000002238133,0.0005914021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2054655,"threshold_uncertainty_score":0.3776883,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3005086907","doi":"10.3390/agriculture10020040","title":"Chemical Composition and Concentration of Bioactive Compounds in Garlic Cultivated from Air Bulbils","year":2020,"lang":"en","type":"article","venue":"Agriculture","topic":"Garlic and Onion Studies","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Polyphenol; Chemistry; Cultivar; Antioxidant; Carotenoid; Food science; Organosulfur compounds; Chlorophyll; Botany; Composition (language); Horticulture; Sulfur; Biology; Biochemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.01521564369527722,"gpt":0.2007254159477394,"spread":0.1855097722524622,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002111894,0.00009463964,0.0001764937,0.000001977746,0.00004352415,0.00001112405,0.00006073339,0.00008526789,0.00002493813],"category_scores_gemma":[0.00001253303,0.00003219443,0.00003196811,0.0002127181,0.00005984613,0.00007248842,0.00003634475,0.0000913505,0.000003898134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001233677,"about_ca_system_score_gemma":0.000002344045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003382968,"about_ca_topic_score_gemma":0.00005359374,"domain_scores_codex":[0.9994226,0.00003508116,0.0001497855,0.0001887998,0.0001022226,0.0001015299],"domain_scores_gemma":[0.9997246,0.0000748686,0.00006892298,0.00001348769,0.00006032279,0.00005783305],"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":[0.00004839406,0.00004771369,0.01746541,0.000003286322,0.00001287901,0.000001094469,0.0006945216,0.000001267344,0.9797294,0.00008568274,0.001062721,0.0008476658],"study_design_scores_gemma":[0.0004164934,0.0001183947,0.8084311,0.00003763407,0.00001519999,0.000001816311,0.002158335,0.00002995942,0.1863695,0.00006227601,0.002202294,0.0001570225],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943252,0.0002878995,0.000002038132,0.00483986,0.00001806523,0.0001300512,0.00006733702,0.0000267119,0.0003028119],"genre_scores_gemma":[0.9991095,0.00006559936,0.00005281078,0.0003988322,0.0001042625,0.000005163381,0.0002593528,3.180722e-7,0.00000416005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7933599,"threshold_uncertainty_score":0.1312851,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}