{"meta":{"query_hash":"8ee13e971fea","filters":{"venue":"Agriculture"},"cohort_total":217,"direct_labels_cover":1,"predictions_cover":217,"exported":217,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/8ee13e971fea","api":"https://metacan.xera.ac/api/v1/cohort?venue=Agriculture"},"results":[{"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.0059282766573149626,"score_gpt":0.24593317424646566,"score_spread":0.2400048975891507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1528104118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99550134,0.0005396056,0.0000040832197,0.0021644635,0.00039935927,0.0006443942,0.000046601464,0.00011392472,0.0005862543],"genre_scores_gemma":[0.9981207,0.000026431966,0.00047394805,0.00086930825,0.00014254042,0.000038898208,0.000036208126,0.000015964531,0.00027599564],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988586,0.00007459092,0.0001868848,0.0003669093,0.00020510933,0.00030795485],"domain_scores_gemma":[0.99923754,0.00008359907,0.000108519336,0.00017149678,0.00022002954,0.00017880893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000102436046,0.00021947718,0.00029122492,0.000092911614,0.000100337886,0.000015858745,0.00021339122,0.00026385722,0.000009879873],"category_scores_gemma":[0.00046902805,0.00015260266,0.00004134344,0.0005543215,0.000034447123,0.00014342886,0.00013337462,0.00031333903,0.000061699015],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033059632,0.000073668954,0.00010747131,0.00008520356,0.0000219203,0.0000043291134,0.0009872097,0.00000361298,0.983963,0.0003820987,0.010511562,0.0035292876],"study_design_scores_gemma":[0.0004258881,0.0014007472,0.0024884024,0.00039843516,0.000039000155,0.000032202275,0.00025033107,0.000009169765,0.98123604,0.000069017435,0.013439723,0.0002110294],"about_ca_topic_score_codex":0.000019912512,"about_ca_topic_score_gemma":0.0000035525095,"teacher_disagreement_score":0.0033182583,"about_ca_system_score_codex":0.00006982282,"about_ca_system_score_gemma":0.000014029088,"threshold_uncertainty_score":0.6222956},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.005700064185968283,"score_gpt":0.18109033865085716,"score_spread":0.1753902744648889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1569260622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978342,0.0013475808,0.0000061352275,0.00005719128,0.00006947758,0.00014131569,0.00007518207,0.00006745219,0.00040144456],"genre_scores_gemma":[0.9996619,0.00009398234,0.00007643307,0.0000022793258,0.000016141339,0.00000613506,0.00009381148,0.000008135746,0.000041147698],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995236,0.000031007185,0.00013587238,0.00012874488,0.00009192962,0.000088851935],"domain_scores_gemma":[0.9995731,0.0001566012,0.00005327648,0.00006618221,0.00005024124,0.00010059817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006392183,0.00011919863,0.00018635493,0.00003026274,0.000017614324,0.0000056941053,0.000056489996,0.0001391699,0.000012163235],"category_scores_gemma":[0.00006559023,0.00007619822,0.000021254627,0.00014805222,0.000040449824,0.00005410659,0.000029342322,0.00011426025,9.2162225e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025834104,0.000017543587,0.0021268073,0.00035199898,0.000059941813,0.0000011464715,0.0005463435,0.00014475292,0.9926856,0.000009334705,0.0028456782,0.0011849971],"study_design_scores_gemma":[0.00088161626,0.00023646063,0.011865131,0.00061796856,0.00008378097,0.000005248083,0.00038824513,0.00016194972,0.9852595,0.0001415499,0.00019591725,0.00016267005],"about_ca_topic_score_codex":0.00006950486,"about_ca_topic_score_gemma":0.000024964334,"teacher_disagreement_score":0.009738323,"about_ca_system_score_codex":0.000019118525,"about_ca_system_score_gemma":0.00000574051,"threshold_uncertainty_score":0.31072736},"labels":[],"label_agreement":null},{"id":"W2052439964","doi":"10.3390/agriculture4030231","title":"Intervention to Improve Biosecurity System of Poultry Production Clusters (PPCs) in Thailand","year":2014,"lang":"en","type":"article","venue":"Agriculture","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Australian Agency for International Development; International Development Research Centre; United States Agency for International Development","keywords":"Biosecurity; Outbreak; Livestock; Poultry farming; Intervention (counseling); Agricultural science; Animal husbandry; Geography; Production (economics); Socioeconomics; Agriculture; Business; Veterinary medicine; Medicine; Biology; Forestry; Ecology; Nursing","score_opus":0.00919454754218118,"score_gpt":0.2121722433233983,"score_spread":0.2029776957812171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052439964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960766,0.000057968224,0.000018188413,0.0020657156,0.00022663025,0.00031027972,0.000011854163,0.00004440169,0.0011883515],"genre_scores_gemma":[0.9992135,0.0000071301433,0.00003844645,0.000119586126,0.00027528105,0.000022867283,0.000060181013,4.7598817e-7,0.00026248876],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999077,0.00013951695,0.00024013524,0.00027484697,0.00009324354,0.00017523045],"domain_scores_gemma":[0.9997006,0.00003828558,0.000105404055,0.000045127606,0.000050825332,0.00005973164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037352552,0.00010420257,0.00018523577,0.000015882064,0.00004326847,0.000012049109,0.00014303379,0.00009050072,0.000021454774],"category_scores_gemma":[0.00011712546,0.00003461779,0.00008940829,0.0002924584,0.00001661477,0.00008155262,0.00006998834,0.00007420345,0.000027924449],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040566243,0.00055189064,0.31635624,0.0005720169,0.00006157073,0.000003975723,0.00043903632,0.00013143833,0.54037267,0.007175707,0.0430006,0.09092916],"study_design_scores_gemma":[0.00016448916,0.000324454,0.9863548,0.00013346212,0.000018760742,0.0000015811964,0.002447202,0.00006704429,0.0009984851,0.00013485794,0.009204258,0.00015055387],"about_ca_topic_score_codex":0.00056678423,"about_ca_topic_score_gemma":0.0009216651,"teacher_disagreement_score":0.6699986,"about_ca_system_score_codex":0.000026309095,"about_ca_system_score_gemma":8.226719e-7,"threshold_uncertainty_score":0.14116725},"labels":[],"label_agreement":null},{"id":"W2057757192","doi":"10.3390/agriculture3020236","title":"Studies on Mitigating Lipid Oxidation Reactions in a Value-Added Dairy Product Using a Standardized Cranberry Extract","year":2013,"lang":"en","type":"article","venue":"Agriculture","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Dairy Commission","keywords":"Trolox; Food science; Chemistry; Lipid oxidation; Hexanal; Polyphenol; Emulsion; Ingredient; Proanthocyanidin; Antioxidant; Antioxidant capacity; Organic chemistry","score_opus":0.033335303321407946,"score_gpt":0.305793116712963,"score_spread":0.27245781339155506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057757192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957875,0.00047887818,0.000014037836,0.0016818367,0.00016575113,0.0006259454,0.000006265734,0.00008136725,0.0011584068],"genre_scores_gemma":[0.9962496,0.00008602303,0.0022994136,0.00018834844,0.00061918335,0.0000772802,0.00002451217,0.000013901348,0.00044171236],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988358,0.000055215336,0.00031405393,0.0003015318,0.00026465527,0.00022876497],"domain_scores_gemma":[0.9993141,0.00010445856,0.00015196668,0.00015932141,0.00020478721,0.000065351946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015527887,0.00018824858,0.00035282417,0.0000764129,0.000118220916,0.000036625155,0.000043410488,0.00008411121,0.00003518904],"category_scores_gemma":[0.00049426564,0.00011830522,0.00009692788,0.00031554434,0.00005117841,0.0003241703,0.000022377895,0.00033598408,0.000013484883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000407404,0.00014877784,0.0008265409,0.00012583844,0.00007386205,0.000008240087,0.0007522471,0.00004973434,0.99443144,0.000059542104,0.0028764443,0.000606603],"study_design_scores_gemma":[0.0014415993,0.00012818692,0.043302543,0.00205362,0.000111930196,0.00011057521,0.0051730787,0.00022733332,0.94586897,0.0004017836,0.00087137206,0.0003089945],"about_ca_topic_score_codex":0.00007774331,"about_ca_topic_score_gemma":0.000010832659,"teacher_disagreement_score":0.048562445,"about_ca_system_score_codex":0.00014834155,"about_ca_system_score_gemma":0.000049111248,"threshold_uncertainty_score":0.4824347},"labels":[],"label_agreement":null},{"id":"W2147289619","doi":"10.3390/agriculture2010012","title":"Effects of Shade on Nitrogen and Phosphorus Acquisition in Cereal-Legume Intercropping Systems","year":2012,"lang":"en","type":"article","venue":"Agriculture","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Connaught Fund","keywords":"Intercropping; Agronomy; Biology; Monocropping; Shading; Legume; Biomass (ecology); Nutrient; Fertilizer; Phosphorus; Competition (biology); Crop; Agriculture; Chemistry; Cropping","score_opus":0.008942982385969168,"score_gpt":0.20479218478019798,"score_spread":0.19584920239422882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147289619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942479,0.003858402,0.00000201169,0.00023466727,0.000321914,0.00031497897,0.0000103576085,0.000026190719,0.0009835794],"genre_scores_gemma":[0.9992189,0.00013407254,0.000008492923,0.00008924935,0.00039609883,0.000027686743,0.000022231445,0.0000010850766,0.00010220496],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999053,0.00011174947,0.00025133204,0.00019405888,0.00011758111,0.00027229922],"domain_scores_gemma":[0.99946994,0.00021575633,0.00015646542,0.000036941394,0.00003194272,0.00008897299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019833114,0.0001524286,0.00023898014,0.000013795954,0.000059680897,0.000045942288,0.00012693852,0.00014048323,0.000016794305],"category_scores_gemma":[0.000030750674,0.000051696523,0.000058400525,0.0001566816,0.00001976807,0.00028570698,0.000055717508,0.0001411682,0.00002416823],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114376766,0.00040833725,0.08485787,0.00021880442,0.000069668546,0.000007112858,0.0013785055,0.000013676453,0.89355105,0.002484346,0.003587409,0.013308819],"study_design_scores_gemma":[0.00041664904,0.0005052577,0.93674845,0.00090946874,0.00004171503,0.000062850246,0.0028656216,0.00005865854,0.03587763,0.000051849198,0.022061726,0.00040010933],"about_ca_topic_score_codex":0.0017311104,"about_ca_topic_score_gemma":0.000051858988,"teacher_disagreement_score":0.85767347,"about_ca_system_score_codex":0.000054636963,"about_ca_system_score_gemma":0.0000019039146,"threshold_uncertainty_score":0.26169327},"labels":[],"label_agreement":null},{"id":"W2160820034","doi":"10.3390/agriculture2040436","title":"The Policy Objectives of a Biofuel Industry in Canada: An Assessment","year":2012,"lang":"en","type":"article","venue":"Agriculture","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Biofuel; Agricultural economics; Subsidy; Natural resource economics; Business; Stock (firearms); Greenhouse gas; Production (economics); Ethanol fuel; Diversification (marketing strategy); Aviation biofuel; Livestock; Economics; Agriculture; Bioenergy; Biotechnology; Forestry; Market economy; Geography","score_opus":0.0046540029832905176,"score_gpt":0.2595008768065644,"score_spread":0.2548468738232739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160820034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920391,0.00006717705,0.0000010547295,0.00072140293,0.000035529858,0.00014426176,0.0000064613764,0.0000036381944,0.0069813887],"genre_scores_gemma":[0.9994441,0.000013302964,0.00006108358,0.00013880008,0.000043277178,0.000011495058,0.0000031824206,0.0000030171946,0.00028170922],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991748,0.00008034958,0.00012494356,0.00010101144,0.00021277762,0.00030612762],"domain_scores_gemma":[0.9996321,0.000028936322,0.00005125598,0.00015991005,0.00000285919,0.00012492796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017550135,0.00008819865,0.000082278384,0.0000073572596,0.00008380696,0.00000766577,0.0001613077,0.00011031464,0.00013389197],"category_scores_gemma":[0.00003066726,0.00004538211,0.000020572183,0.00023418841,0.00010143105,0.0002509912,0.000103080194,0.00033811794,0.000003271735],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002488321,0.00010185322,0.9935154,0.0000024440044,0.0000030898648,7.20092e-7,0.00060252025,0.000074781594,0.0026908857,0.00017516708,0.00044940144,0.0023812947],"study_design_scores_gemma":[0.000074126016,0.000020748828,0.98865885,0.000001983495,0.0000024238982,0.0000026036041,0.0076984204,0.000005266102,0.0011154106,0.00020995316,0.0021399711,0.00007025377],"about_ca_topic_score_codex":0.83340293,"about_ca_topic_score_gemma":0.82790935,"teacher_disagreement_score":0.007405047,"about_ca_system_score_codex":0.0019308719,"about_ca_system_score_gemma":0.0001230139,"threshold_uncertainty_score":0.50491625},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.07030455438505763,"score_gpt":0.2632135019933535,"score_spread":0.1929089476082959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2397611381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99225307,0.000412075,0.000011386186,0.0063743084,0.00004322622,0.0005318315,0.00008137805,0.000011560871,0.00028114676],"genre_scores_gemma":[0.9986827,0.0006248583,0.00016909909,0.00014200229,0.0000689275,0.000051055697,0.0000598966,7.746974e-7,0.00020070095],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984453,0.00028761124,0.00048137712,0.00025040007,0.00027998906,0.0002553248],"domain_scores_gemma":[0.9982171,0.0011347453,0.00035100416,0.00008074618,0.00018404298,0.00003237636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058421283,0.00018135126,0.00022977134,0.000023773857,0.00024033998,0.000060109087,0.000416522,0.00015389027,0.0000531469],"category_scores_gemma":[0.00015816347,0.00003241591,0.00007213986,0.0013017008,0.000103974926,0.00031771004,0.00006156304,0.0002320001,0.0000027031053],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012876093,0.0009355937,0.04655189,0.000048635757,0.000059844046,0.000015334712,0.049147584,0.0002105405,0.73600054,0.0023587304,0.0012892041,0.16325332],"study_design_scores_gemma":[0.00020488637,0.0003269603,0.9040295,0.000119289616,0.00002643745,0.00003114887,0.09143731,0.0000039371516,0.00086616946,0.00010785345,0.0026923707,0.0001541637],"about_ca_topic_score_codex":0.0019133576,"about_ca_topic_score_gemma":0.022232533,"teacher_disagreement_score":0.8574776,"about_ca_system_score_codex":0.000018710754,"about_ca_system_score_gemma":0.00001218312,"threshold_uncertainty_score":0.99560916},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.03347228773237288,"score_gpt":0.2324180849164587,"score_spread":0.19894579718408584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2504969104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9521467,0.01526031,0.023722727,0.0015381246,0.00027014836,0.0004004459,0.00022530231,0.0000322158,0.0064040343],"genre_scores_gemma":[0.9975644,0.00032853748,0.00069567264,0.000050056915,0.00010773518,0.0000307596,0.000047034307,0.0000057750462,0.0011700753],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988651,0.000014734866,0.0005922927,0.0002908589,0.000029581948,0.00020737978],"domain_scores_gemma":[0.9996724,0.00001855243,0.0001402871,0.00007566707,0.000060068174,0.00003301734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021436163,0.00013841453,0.0004454978,0.00018044111,0.00012544479,0.000014060376,0.000110690424,0.0001739729,0.000113782335],"category_scores_gemma":[0.000012696981,0.000090168345,0.00022253329,0.0012261985,0.00003525472,0.00017153096,0.000049422317,0.00008619992,0.000032656637],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009204856,0.001174754,0.080924295,0.0003239943,0.001830215,0.000011048002,0.043883108,0.00015330804,0.0059395684,0.7725985,0.020000778,0.07306836],"study_design_scores_gemma":[0.0010395428,0.000045925437,0.8398894,0.00027003975,0.00017412842,0.0000017430095,0.0010453692,0.000037317586,0.0005641811,0.0018328661,0.15458307,0.0005163971],"about_ca_topic_score_codex":0.000076711854,"about_ca_topic_score_gemma":0.0029096897,"teacher_disagreement_score":0.77076566,"about_ca_system_score_codex":0.00007445299,"about_ca_system_score_gemma":0.000013657111,"threshold_uncertainty_score":0.36769584},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.007561508636240237,"score_gpt":0.1596115932370062,"score_spread":0.15205008460076594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2510354505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9826081,0.001345096,0.000001102584,0.015302785,0.000053735035,0.000348998,0.00007044576,0.000037985443,0.00023178729],"genre_scores_gemma":[0.99882984,0.000099326884,0.00010891998,0.00039858453,0.00021001857,0.000016867609,0.00005635443,0.0000014244448,0.000278652],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99843156,0.00014420798,0.0002982285,0.00038521123,0.00030059955,0.00044017614],"domain_scores_gemma":[0.9993938,0.00021790275,0.0001215979,0.00006814426,0.00007064935,0.00012789719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021371213,0.00027524,0.00027859438,0.000012219955,0.00023714875,0.00006514733,0.00028744584,0.00020285088,0.000065405606],"category_scores_gemma":[0.000050589268,0.000058552996,0.0000780918,0.00037161598,0.00011996455,0.00011722936,0.00007708328,0.00016843156,0.000005275096],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102414364,0.00026135083,0.020378198,0.00004525944,0.000045126242,0.000016548354,0.0026588924,0.0000012256683,0.9302918,0.0004871965,0.026439719,0.01927227],"study_design_scores_gemma":[0.00061801856,0.00024973234,0.82495075,0.00014366902,0.000023115314,0.000028000188,0.0020780768,7.388083e-7,0.02631456,0.00005070039,0.14523657,0.0003060874],"about_ca_topic_score_codex":0.00017608391,"about_ca_topic_score_gemma":0.0020294762,"teacher_disagreement_score":0.9039772,"about_ca_system_score_codex":0.000027827024,"about_ca_system_score_gemma":0.000013381964,"threshold_uncertainty_score":0.23877218},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.011827210887667796,"score_gpt":0.18548695849965133,"score_spread":0.17365974761198352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519210402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9681774,0.00013530202,0.000044733984,0.029973542,0.00008452177,0.001353396,0.00008293357,0.000053932577,0.0000942648],"genre_scores_gemma":[0.99907655,0.00006434066,0.000026510714,0.00014034647,0.00019607936,0.0000831885,0.000044293367,9.923424e-7,0.0003676877],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99855745,0.00011274513,0.00023992459,0.00032477925,0.0002228297,0.00054224883],"domain_scores_gemma":[0.9992474,0.00025956222,0.00011074405,0.00006725594,0.00023372007,0.000081324906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005179292,0.00018956405,0.00013903693,0.000005850029,0.00086958986,0.00007651331,0.0003837952,0.00009810974,0.000018748528],"category_scores_gemma":[0.000090666945,0.00003616423,0.00011868082,0.00033732117,0.00004295466,0.00016488136,0.00010531811,0.00010282179,0.0000026911234],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015829796,0.0011935643,0.08358053,0.00044642674,0.0009328472,0.00002117969,0.010807902,0.000086744934,0.09213484,0.115373105,0.1585325,0.5353074],"study_design_scores_gemma":[0.00060202484,0.000404782,0.6400177,0.000049731225,0.000027641963,0.000004537576,0.0112017235,0.0000032125872,0.0025763474,0.006640467,0.33815017,0.00032164485],"about_ca_topic_score_codex":0.00008227204,"about_ca_topic_score_gemma":0.007895582,"teacher_disagreement_score":0.5564372,"about_ca_system_score_codex":0.00023532182,"about_ca_system_score_gemma":0.000025363532,"threshold_uncertainty_score":0.668827},"labels":[],"label_agreement":null},{"id":"W2572851005","doi":"10.3390/agriculture9080183","title":"Temporal Effects of Biochar and Dairy Manure on Physicochemical Properties of Podzol: Case from a Silage-Corn Production Trial in Boreal Climate","year":2019,"lang":"en","type":"article","venue":"Agriculture","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Memorial University of Newfoundland; Research and Development Corporation of Newfoundland and Labrador","keywords":"Biochar; Cation-exchange capacity; Agronomy; Nutrient; Manure; Environmental science; Podzol; Soil pH; Soil water; Chemistry; Animal science; Soil science","score_opus":0.008719333320331705,"score_gpt":0.18999260690039751,"score_spread":0.1812732735800658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2572851005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99859905,0.00025916446,6.394916e-9,0.00022247623,0.00016774409,0.0006293431,0.00004922401,0.00002196284,0.000051032268],"genre_scores_gemma":[0.9995546,0.000034517616,0.000011997807,0.000034105997,0.00021471163,0.000019365427,0.00010499754,0.0000011886003,0.000024538247],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99912745,0.00006068117,0.00020359678,0.00029040436,0.00015986418,0.00015799106],"domain_scores_gemma":[0.99966496,0.000055466226,0.00012627004,0.0000610238,0.00004999568,0.00004226064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000068256006,0.00014890119,0.00027475474,0.000011318757,0.000026735197,0.000011243145,0.00007980886,0.00015026027,0.000008729648],"category_scores_gemma":[0.000038878643,0.000049123577,0.00008032238,0.00020463005,0.000053538002,0.00006642855,0.000044873927,0.00013780827,0.0000036322103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023043356,0.00027686617,0.007898359,0.00007937532,0.000014677194,0.000022624536,0.0002269708,0.0000012109265,0.9876917,0.000029933022,0.00009434152,0.0013596195],"study_design_scores_gemma":[0.004039398,0.0011174816,0.09727451,0.00028849402,0.0000390767,0.000041451098,0.00080852513,0.0000557286,0.895978,0.000088200024,0.000029286082,0.00023988794],"about_ca_topic_score_codex":0.0014180158,"about_ca_topic_score_gemma":0.0005543089,"teacher_disagreement_score":0.09171373,"about_ca_system_score_codex":0.000013644551,"about_ca_system_score_gemma":0.0000040390855,"threshold_uncertainty_score":0.21436252},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.007515092416628758,"score_gpt":0.23902316115938574,"score_spread":0.23150806874275698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591876354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9757529,0.000035560497,0.0000010493479,0.0007843126,0.00005206822,0.00010048908,0.000006005315,0.00000593845,0.02326167],"genre_scores_gemma":[0.99914634,0.00018789004,0.000025595342,0.00002788506,0.000013035692,0.000004128797,0.0000014802687,0.000002238133,0.00059140206],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995085,0.000017609284,0.0000954841,0.000113352435,0.0000888474,0.00017623222],"domain_scores_gemma":[0.9995695,0.000025124491,0.00015390049,0.00022734303,0.0000052805667,0.000018891666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000124289,0.00008296506,0.000104087834,0.0000057451975,0.00049105956,0.000011638965,0.00030078503,0.000037229835,0.000055165987],"category_scores_gemma":[0.00002415361,0.00003485168,0.00008585306,0.000030010662,0.0002724867,0.000065697655,0.00023192217,0.00006554379,0.000057755162],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001282686,0.00019087286,0.77955794,0.0000271135,0.00034792864,0.000011309753,0.0025652733,0.0036204427,0.15477288,0.00035990064,0.053542,0.0048760623],"study_design_scores_gemma":[0.0001893173,0.00012618295,0.98502344,0.000016127906,0.000024228451,0.0000011697434,0.00025095884,0.000013699913,0.011403187,0.00017173584,0.002704423,0.000075556345],"about_ca_topic_score_codex":0.0004205729,"about_ca_topic_score_gemma":0.00005686231,"teacher_disagreement_score":0.20546547,"about_ca_system_score_codex":0.00002196929,"about_ca_system_score_gemma":9.829955e-7,"threshold_uncertainty_score":0.37768826},"labels":[],"label_agreement":null},{"id":"W2597204189","doi":"10.3390/agriculture7030027","title":"Surface and Subsurface Transport of Nitrate Loss from the Selected Bioenergy Crop Fields: Systematic Review, Analysis and Future Directions","year":2017,"lang":"en","type":"article","venue":"Agriculture","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"General Motors of Canada","keywords":"Environmental science; Miscanthus; Nitrate; Bioenergy; Agronomy; Crop yield; Tillage; Loam; Agriculture; Surface runoff; Agricultural engineering; Biofuel; Soil science; Biology; Soil water; Ecology; Engineering","score_opus":0.009057638106160589,"score_gpt":0.2046843019771349,"score_spread":0.19562666387097433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2597204189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94522774,0.028159393,0.000004244872,0.02587071,0.00011215766,0.00034413027,0.000079988095,0.000038522525,0.00016312576],"genre_scores_gemma":[0.9553569,0.043100927,0.000041909956,0.00031130755,0.00016186989,0.000012452123,0.00010403435,7.480966e-7,0.000909852],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991063,0.000094354946,0.00023399566,0.0002931615,0.00014372832,0.00012848173],"domain_scores_gemma":[0.9993381,0.00004444027,0.00025143474,0.00017359681,0.00013560493,0.000056853933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001635939,0.000150182,0.0003718184,0.0000052642195,0.00052953174,0.00007998019,0.00024564506,0.00009898634,0.00006718657],"category_scores_gemma":[0.000027210042,0.000041399016,0.00010096123,0.00045888202,0.00009936926,0.0001043911,0.00004339551,0.000105520514,0.0000011802321],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002764106,0.0015929604,0.31655252,0.051374145,0.02152108,0.000093016,0.0057472493,0.00035144918,0.5038365,0.0088837035,0.064637505,0.025133464],"study_design_scores_gemma":[0.0001311855,0.00006353641,0.9690764,0.0014394574,0.002555036,0.000009087687,0.00057915837,0.00001289055,0.0033013513,0.0000680805,0.02246362,0.0003002168],"about_ca_topic_score_codex":0.0035727646,"about_ca_topic_score_gemma":0.013320811,"teacher_disagreement_score":0.6525239,"about_ca_system_score_codex":0.0000051340367,"about_ca_system_score_gemma":0.0000028823902,"threshold_uncertainty_score":0.7433325},"labels":[],"label_agreement":null},{"id":"W2608210170","doi":"10.3390/agriculture7040036","title":"Organic No-Till Systems in Eastern Canada: A Review","year":2017,"lang":"en","type":"review","venue":"Agriculture","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba; Université Laval","funders":"","keywords":"Organic farming; Cover crop; Agriculture; Work (physics); Cropping system; Cropping; Certification; Agroforestry; Geography; Agronomy; Environmental science; Engineering; Political science; Biology","score_opus":0.05942290321961549,"score_gpt":0.2633425495873855,"score_spread":0.20391964636777002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608210170","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000021472629,0.9930279,2.872733e-8,0.0015602416,0.00123435,0.0010347419,0.000060329116,0.00004181913,0.0030384199],"genre_scores_gemma":[0.000008080001,0.97225314,0.0000015889228,0.00037009869,0.001002986,0.00014989328,0.00051055336,0.0000022508711,0.025701378],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979967,0.00017062749,0.0005496058,0.0006131038,0.0003114359,0.00035855864],"domain_scores_gemma":[0.99898726,0.000027986782,0.0005388432,0.00021864162,0.000105248,0.00012199533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000225608,0.00043997882,0.0013536017,0.000011178967,0.00016261567,0.00012281688,0.0008010881,0.00027583673,0.00032649137],"category_scores_gemma":[0.00007080082,0.000119076525,0.00024268143,0.00035676055,0.000021701593,0.00007790975,0.00019577795,0.00037541345,0.00028245748],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.3030678e-7,0.00002785569,0.0000019044969,0.012563288,0.00004431885,0.000034292807,0.00000144117,7.103045e-8,0.000003915258,0.00007901922,0.23810087,0.7491426],"study_design_scores_gemma":[0.00002602705,0.000019258478,0.00006714961,0.027846355,0.00015157233,0.000039227652,0.000010487926,1.4080366e-7,1.10566326e-7,7.949986e-7,0.97148836,0.00035052653],"about_ca_topic_score_codex":0.19886494,"about_ca_topic_score_gemma":0.6553371,"teacher_disagreement_score":0.74879205,"about_ca_system_score_codex":0.00022449506,"about_ca_system_score_gemma":0.00010406239,"threshold_uncertainty_score":0.80646986},"labels":[],"label_agreement":null},{"id":"W2724231940","doi":"10.3390/agriculture7070054","title":"Toward Improved Adoption of Best Management Practices (BMPs) in the Lake Erie Basin: Perspectives from Resilience and Agricultural Innovation Literature","year":2017,"lang":"en","type":"article","venue":"Agriculture","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Waterloo","funders":"","keywords":"Agriculture; Resilience (materials science); Best practice; Surface runoff; Psychological resilience; Structural basin; Business; Environmental resource management; Environmental science; Environmental planning; Natural resource economics; Geography; Ecology; Economics; Management; Biology","score_opus":0.011494977560042408,"score_gpt":0.23218882679141073,"score_spread":0.2206938492313683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2724231940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926499,0.00017443804,0.000011550896,0.0027884706,0.00007501696,0.00027419403,0.000050527065,0.000009385863,0.003966487],"genre_scores_gemma":[0.9984165,0.0004486001,0.0005867015,0.00007554575,0.000067958994,0.00002120784,0.0001230578,0.0000027082076,0.00025773505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916613,0.00004568209,0.00015364,0.0002838152,0.00022092267,0.00012978367],"domain_scores_gemma":[0.99931484,0.000025799944,0.0003706452,0.00023219053,0.00003744677,0.000019045825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015117646,0.00012581093,0.000101829195,0.000020263367,0.00019135214,0.00021209207,0.00033519883,0.00008689809,0.000012996922],"category_scores_gemma":[0.00007222275,0.0000611233,0.000024225685,0.00028922828,0.0001312309,0.0008095912,0.00015175584,0.00016907226,0.000007084074],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012699903,0.00066788186,0.9076,0.00009587528,0.00006564058,0.000057012927,0.05136723,0.00012516206,0.01467206,0.0044865287,0.0069242916,0.013811312],"study_design_scores_gemma":[0.0002794013,0.000053145628,0.980739,0.00006466243,0.000018664135,0.000008283411,0.012008392,0.00004191676,0.00015101931,0.00096924405,0.0055494006,0.00011687068],"about_ca_topic_score_codex":0.00021836147,"about_ca_topic_score_gemma":0.00073907117,"teacher_disagreement_score":0.073139,"about_ca_system_score_codex":0.000034517187,"about_ca_system_score_gemma":0.0000017350422,"threshold_uncertainty_score":0.24925357},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.06650814650412822,"score_gpt":0.3377097511121801,"score_spread":0.27120160460805187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2725205211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971271,0.000034785542,0.000005105044,0.00056490133,0.000071306036,0.0004998702,0.0002387013,0.00000882758,0.0014493857],"genre_scores_gemma":[0.99957234,0.000006575623,0.000085315325,0.000027356038,0.000026910466,0.00003544373,0.0000106691605,0.000008094451,0.0002272847],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989796,0.00010947848,0.0003512537,0.00018542519,0.00023464435,0.00013958503],"domain_scores_gemma":[0.9988105,0.00008329223,0.00035942084,0.00053195556,0.00019145745,0.000023321629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000193296,0.00014527937,0.00029398335,0.000011784225,0.000119415,0.000018381834,0.0004989487,0.00009273786,0.000076852346],"category_scores_gemma":[0.0001715139,0.00006474116,0.00011336258,0.00008771468,0.00014052815,0.00013448838,0.00028113762,0.00012610652,0.0000052221762],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027869229,0.00029991122,0.33062747,0.00009553342,0.00005434999,0.0000034781106,0.0066415174,0.0000025108534,0.652753,0.000030166599,0.00805689,0.001156499],"study_design_scores_gemma":[0.00035831062,0.00018980906,0.97784877,0.000056306722,0.000054308093,0.000006393835,0.0007231762,8.941701e-7,0.01948141,0.00003542497,0.0011455538,0.00009961893],"about_ca_topic_score_codex":0.0007696757,"about_ca_topic_score_gemma":0.0001383307,"teacher_disagreement_score":0.6472213,"about_ca_system_score_codex":0.000021595593,"about_ca_system_score_gemma":0.000011908269,"threshold_uncertainty_score":0.2640068},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.016153974421518034,"score_gpt":0.21026271265295726,"score_spread":0.19410873823143923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2733369329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968755,0.00023668633,1.0915143e-7,0.00066008494,0.00019133739,0.00013355783,0.000090732996,0.000038908813,0.0017730428],"genre_scores_gemma":[0.9988924,0.00006307999,0.000005123951,0.000035830188,0.00029436432,0.000005622965,0.00008187934,0.000002226371,0.00061944546],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989061,0.000047174384,0.00021122093,0.000330212,0.00020708794,0.00029821286],"domain_scores_gemma":[0.99934274,0.00004762226,0.00021210412,0.0001428158,0.000121654695,0.00013304473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008138572,0.00025823936,0.00032239448,0.0000131836405,0.0002787095,0.00012562337,0.0003509646,0.00026658783,0.000060345646],"category_scores_gemma":[0.000034918558,0.00008476428,0.00010439656,0.00007558445,0.00013369852,0.00005432212,0.00018145276,0.00017691037,0.0000014162699],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019507892,0.000050468378,0.2135441,0.000013167824,0.000034536417,0.0000064894207,0.00010805724,1.9143e-7,0.7851124,0.000021037355,0.00006265336,0.001027436],"study_design_scores_gemma":[0.00035767918,0.00015416624,0.89701957,0.000027594519,0.000056534354,0.000033808516,0.00023897424,0.00017620448,0.10136971,0.000079028076,0.0002261218,0.000260595],"about_ca_topic_score_codex":0.0028196797,"about_ca_topic_score_gemma":0.018748142,"teacher_disagreement_score":0.68374264,"about_ca_system_score_codex":0.00001926757,"about_ca_system_score_gemma":0.000008029745,"threshold_uncertainty_score":0.99915713},"labels":[],"label_agreement":null},{"id":"W2742376239","doi":"10.3390/agriculture7080069","title":"Adoption of Web-Based Spatial Tools by Agricultural Producers: Conversations with Seven Northeastern Ontario Farmers Using the GeoVisage Decision Support System","year":2017,"lang":"en","type":"article","venue":"Agriculture","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Nipissing University","funders":"Natural Sciences and Engineering Research Council of Canada; Northern Ontario Heritage Fund Corporation","keywords":"Thematic map; Agriculture; Thematic analysis; Resource (disambiguation); Geography; Environmental resource management; Qualitative property; Cash crop; Business; Qualitative research; Computer science; Cartography; Environmental science; Sociology","score_opus":0.030009015797035188,"score_gpt":0.2358463799661029,"score_spread":0.2058373641690677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742376239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99538517,0.000030912444,0.00006948396,0.0020783448,0.00021596401,0.0007273396,0.00022314744,0.00005989438,0.0012097331],"genre_scores_gemma":[0.9978493,0.0000052105,0.00031773825,0.00008160432,0.00027528685,0.000036525547,0.0008102003,0.0000019585466,0.0006222067],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998228,0.0000898031,0.0004104114,0.00042579274,0.00052762195,0.0003183704],"domain_scores_gemma":[0.99801975,0.00017082707,0.0009240719,0.00021680292,0.0005779203,0.000090619455],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00027531682,0.00030527823,0.00029285412,0.000011570517,0.0014299662,0.0005223722,0.00061953935,0.00017810382,0.00020824383],"category_scores_gemma":[0.000052164472,0.00007662498,0.00013739355,0.00030314128,0.0001443955,0.0010041799,0.00008752842,0.00029724822,0.000018685625],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057807367,0.0006323851,0.19679248,0.00012041447,0.00040620496,0.000026020474,0.0021426808,0.0017156377,0.72420913,0.00042283194,0.0221661,0.050788023],"study_design_scores_gemma":[0.00066249305,0.000432182,0.95617944,0.00020016596,0.00020527522,0.00007606333,0.00925859,0.00024247397,0.0036008495,0.000004286833,0.028654177,0.00048398963],"about_ca_topic_score_codex":0.03278651,"about_ca_topic_score_gemma":0.12818596,"teacher_disagreement_score":0.75938696,"about_ca_system_score_codex":0.0001538915,"about_ca_system_score_gemma":0.0000695935,"threshold_uncertainty_score":0.99987006},"labels":[],"label_agreement":null},{"id":"W2767167947","doi":"10.3390/agriculture7110091","title":"The Physical Chemistry of Pesticides in Soil and Water","year":2017,"lang":"en","type":"article","venue":"Agriculture","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Pesticide; Multinational corporation; Soil water; Government (linguistics); Environmental science; Environmental chemistry; Chemistry; Environmental protection; Earth science; Ecology; Soil science; Political science; Biology; Geology; Law","score_opus":0.005525958965618708,"score_gpt":0.2012196723405155,"score_spread":0.19569371337489677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767167947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891928,0.00009429966,5.497765e-7,0.0008345994,0.000010453586,0.000042896412,0.0000011925895,0.000002653342,0.0098205935],"genre_scores_gemma":[0.99911284,0.00007931678,0.0000119746255,0.000020749367,0.00003249827,0.00000735262,8.2567493e-7,0.0000022037566,0.0007322388],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995656,0.0000064000824,0.0000694889,0.000116678086,0.00010396645,0.00013787225],"domain_scores_gemma":[0.99977034,0.00002524891,0.000036849953,0.0001403174,0.000001377592,0.00002585226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000050099243,0.000071843286,0.000085756285,0.0000010535379,0.00029716242,0.00002478922,0.00016608778,0.000027494136,0.000108987435],"category_scores_gemma":[0.000025855732,0.000030105266,0.000020540148,0.000010204844,0.0003788595,0.000055175708,0.00029191765,0.000074449636,0.00003443843],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007086826,0.00005391861,0.29038233,0.000008451042,0.000008225672,0.0000069914718,0.0006877099,0.00014265502,0.7050032,0.00002538813,0.0009819885,0.0026920452],"study_design_scores_gemma":[0.0000946055,0.000010180476,0.9128704,0.000008113261,0.00000697905,0.000003065141,0.00016057795,0.000024941639,0.08428565,0.00076229684,0.0017139969,0.000059185706],"about_ca_topic_score_codex":0.00046304343,"about_ca_topic_score_gemma":0.00040502445,"teacher_disagreement_score":0.6224881,"about_ca_system_score_codex":0.000019405259,"about_ca_system_score_gemma":5.2519874e-7,"threshold_uncertainty_score":0.22855632},"labels":[],"label_agreement":null},{"id":"W2778587136","doi":"10.3390/agriculture7120104","title":"Evaluation of Crop to Crop Water Demand Forecasting: Tomatoes and Bell Peppers Grown in a Commercial Greenhouse","year":2017,"lang":"en","type":"article","venue":"Agriculture","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Greenhouse; Mean squared error; Agricultural engineering; Artificial neural network; Crop; Feedforward neural network; Environmental science; Mathematics; Statistics; Computer science; Agronomy; Engineering; Machine learning; Forestry; Geography","score_opus":0.04272107107856175,"score_gpt":0.2525514899353018,"score_spread":0.20983041885674006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2778587136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99375165,0.00014164197,5.2706594e-7,0.0049879714,0.00005615137,0.00040937832,0.000018487188,0.00004515278,0.0005890661],"genre_scores_gemma":[0.99964803,0.000020531614,0.000030314723,0.00012131704,0.00006318545,0.00003765289,0.000015454547,0.0000011254525,0.00006239097],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989178,0.000080237165,0.0002037346,0.00026264664,0.00026235933,0.00027322044],"domain_scores_gemma":[0.99948937,0.00003619561,0.00010164275,0.00010191355,0.00020422402,0.000066673136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006269125,0.00014845362,0.00022881913,0.000017031367,0.00038933448,0.000064532476,0.00031836957,0.00021370685,0.00009255714],"category_scores_gemma":[0.00016743745,0.000045417873,0.000051994168,0.00007944329,0.00010149561,0.00015498872,0.0001664258,0.00013204428,0.000013406261],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011499925,0.00022419653,0.22802567,0.000027993048,0.000058027974,0.00001795249,0.0015470246,0.000044716096,0.6291498,0.00027650656,0.0022068997,0.13830623],"study_design_scores_gemma":[0.0006178484,0.00021192762,0.9812196,0.000053228756,0.00006522317,0.000017396675,0.0003400547,0.00016280002,0.015358771,0.00067857676,0.0010833667,0.00019121486],"about_ca_topic_score_codex":0.000615543,"about_ca_topic_score_gemma":0.02218119,"teacher_disagreement_score":0.7531939,"about_ca_system_score_codex":0.000019680769,"about_ca_system_score_gemma":0.0000044133317,"threshold_uncertainty_score":0.99566144},"labels":[],"label_agreement":null},{"id":"W2790206127","doi":"10.3390/agriculture8040046","title":"Enhanced Dispersion and Removal of Ammonia Emitted from a Poultry House with a Vegetative Environmental Buffer","year":2018,"lang":"en","type":"article","venue":"Agriculture","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Resources Conservation Service; Agricultural Research Service; University of Delaware; U.S. Department of Agriculture","keywords":"Dispersion (optics); Environmental science; Atmospheric sciences; Ammonia; Atmospheric dispersion modeling; Chemistry; Ecology; Air pollution; Biology; Physics; Optics","score_opus":0.003116582899951006,"score_gpt":0.17490156652707284,"score_spread":0.17178498362712183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790206127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983161,0.00034880414,0.0005858517,0.00014044739,0.00002193491,0.00008029962,0.000023289489,0.00016164202,0.0003216348],"genre_scores_gemma":[0.9974208,0.00004177889,0.0021423013,0.00002631764,0.000069344576,0.000005253319,0.0000132062105,0.000011440606,0.00026955325],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999455,0.0000073289357,0.00009962812,0.00019437514,0.000117858,0.00012582637],"domain_scores_gemma":[0.9997333,0.00003520108,0.000048294518,0.00011949055,0.000017666598,0.00004600189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000013674373,0.00012913186,0.00016400704,0.000015158996,0.000037975457,0.000006654229,0.000087211214,0.00014085573,0.000036289093],"category_scores_gemma":[0.000027179567,0.0000696858,0.000028830485,0.000074230535,0.00010080454,0.00006108738,0.00005127265,0.00014243639,0.000011680972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008008035,0.00003164766,0.000658949,0.000006868366,0.000043880915,0.0000083744035,0.00062867615,0.0000038351977,0.9958881,0.00002738455,0.00025153527,0.0023706523],"study_design_scores_gemma":[0.0009720701,0.00014011192,0.024657853,0.00011115829,0.000047336413,0.000017496672,0.0016264402,0.00022600617,0.9708654,0.0000656421,0.0010835998,0.00018683898],"about_ca_topic_score_codex":0.000038399477,"about_ca_topic_score_gemma":0.000004963096,"teacher_disagreement_score":0.025022669,"about_ca_system_score_codex":0.000020136871,"about_ca_system_score_gemma":0.0000027245148,"threshold_uncertainty_score":0.28417042},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.010202323290025784,"score_gpt":0.1919581922687933,"score_spread":0.1817558689787675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793473576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9286742,0.00015819972,0.00016305245,0.0044892807,0.0009166424,0.00044379858,0.0000045828624,0.00017276323,0.06497743],"genre_scores_gemma":[0.9884639,0.000008044876,0.0001601684,0.007772049,0.0032391048,0.000034276232,0.000044829823,0.000016213187,0.00026141596],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987435,0.000012358779,0.0002103739,0.00038607727,0.00020761584,0.0004400921],"domain_scores_gemma":[0.9994329,0.00001663308,0.00008907937,0.00017638372,0.00025881125,0.00002616357],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014257523,0.00024149496,0.00022682913,0.00016763578,0.00015789992,0.00021916612,0.0003620152,0.00012736973,0.00010145076],"category_scores_gemma":[0.000068519796,0.00017504783,0.000065379885,0.0015471905,0.000034519773,0.00043753942,0.0002060421,0.00014899836,0.0010320166],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020991653,0.000995344,0.307769,0.00093415123,0.00015305105,0.00052991067,0.0010336811,0.0004457854,0.042390965,0.57969,0.05804105,0.007807188],"study_design_scores_gemma":[0.0003672342,0.0000139938165,0.7470683,0.00024479258,0.00001702728,0.0000066332163,0.00030700912,0.000027841937,0.00048137546,0.0009691052,0.2501609,0.00033581426],"about_ca_topic_score_codex":0.000744324,"about_ca_topic_score_gemma":0.00054243184,"teacher_disagreement_score":0.57872087,"about_ca_system_score_codex":0.000041094056,"about_ca_system_score_gemma":0.000013976754,"threshold_uncertainty_score":0.9997458},"labels":[],"label_agreement":null},{"id":"W2803963591","doi":"10.3390/agriculture8060071","title":"Determining the Stability of Sugarcane Filtercake Biochar in Soils with Contrasting Levels of Organic Matter","year":2018,"lang":"en","type":"article","venue":"Agriculture","topic":"Coal and Its By-products","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biochar; Soil water; Organic matter; Agronomy; Environmental science; Soil organic matter; Agroforestry; Chemistry; Biology; Soil science; Pyrolysis; Ecology","score_opus":0.017770325763367876,"score_gpt":0.1876179713217855,"score_spread":0.16984764555841764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803963591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984208,0.00009395697,0.000004250932,0.000417127,0.000058566653,0.00012867001,0.00007464454,0.0000056075846,0.0007963958],"genre_scores_gemma":[0.9996273,0.0000020288735,0.00010604567,0.0000944078,0.0000976826,3.215445e-7,0.000015565702,0.0000014153546,0.000055269207],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99930084,0.00004702287,0.00018014833,0.00016417829,0.0001423266,0.00016548384],"domain_scores_gemma":[0.9994986,0.0000927243,0.00009921031,0.00013619223,0.00014629547,0.000026965561],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018225964,0.00008897003,0.0001499726,0.00001630688,0.00004914138,0.00001148055,0.00015729688,0.000037447262,0.0021454508],"category_scores_gemma":[0.000066045366,0.00003778137,0.000017345055,0.000286764,0.00013350636,0.00008869168,0.000013369929,0.0000892405,0.000033352593],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001941472,0.000015424694,0.97121185,0.000037280388,0.000008073286,9.909685e-7,0.0011196033,0.000005174219,0.02445474,0.0000016422401,0.0003030506,0.0028227377],"study_design_scores_gemma":[0.00015816325,0.00014555245,0.94432366,0.000044413468,0.000007952676,0.000005529369,0.00037473798,0.00001681514,0.054741696,0.000015942152,0.00009749327,0.00006804144],"about_ca_topic_score_codex":0.00040187835,"about_ca_topic_score_gemma":0.0081346035,"teacher_disagreement_score":0.030286953,"about_ca_system_score_codex":0.0000018920614,"about_ca_system_score_gemma":0.000027054393,"threshold_uncertainty_score":0.9987667},"labels":[],"label_agreement":null},{"id":"W2808778300","doi":"10.3390/agriculture8080122","title":"Identification of Marbling Gene Loci in Commercial Pigs in Canadian Herds","year":2018,"lang":"en","type":"article","venue":"Agriculture","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Intramuscular fat; Marbled meat; Biology; Single-nucleotide polymorphism; Population; Genetics; Breed; Genome-wide association study; Loin; Large white; SNP; Animal science; Shorthorn; Gene; Genotype; Medicine","score_opus":0.006225048616156995,"score_gpt":0.22644140125152704,"score_spread":0.22021635263537004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808778300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99800783,0.0002997062,0.00015039917,0.00018415769,0.000111913636,0.00011053771,0.000020396936,0.000001881747,0.0011131869],"genre_scores_gemma":[0.9984695,0.000014510633,0.0008036606,0.0000947291,0.00025231397,0.000007124541,0.00011080806,0.00000477288,0.00024258292],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99941057,0.000028768553,0.00017611087,0.00015848118,0.000054904507,0.00017113752],"domain_scores_gemma":[0.99970293,0.0000026856228,0.00004454639,0.00012848739,0.0000653188,0.000056046345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010251002,0.000071835006,0.000077278695,0.000039538045,0.00002591962,0.00000616263,0.00013086112,0.00014903034,0.000015129017],"category_scores_gemma":[0.000027156535,0.00006000315,0.000022714123,0.00014725843,0.00004616907,0.0000019282334,0.00002141436,0.000062815074,0.0000063809907],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003608929,0.00009407122,0.13222846,0.000022274175,0.00001911345,0.0000012804053,0.0007694296,0.0003331267,0.8543981,0.0015682969,0.0071725636,0.0033572395],"study_design_scores_gemma":[0.00021583855,0.00007135892,0.9110481,0.000008562131,0.0000037156515,0.0000027722565,0.00009307972,0.000005150388,0.0829587,0.00024515993,0.0052580386,0.00008949597],"about_ca_topic_score_codex":0.018803505,"about_ca_topic_score_gemma":0.33465064,"teacher_disagreement_score":0.7788197,"about_ca_system_score_codex":0.000020480815,"about_ca_system_score_gemma":0.00007799586,"threshold_uncertainty_score":0.9877304},"labels":[],"label_agreement":null},{"id":"W2810102070","doi":"10.3390/agriculture8070095","title":"Can Parentage Analysis Facilitate Breeding Activities in Root and Tuber Crops?","year":2018,"lang":"en","type":"article","venue":"Agriculture","topic":"Plant Virus Research Studies","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Ghana; International Development Research Centre; Bill and Melinda Gates Foundation","keywords":"Outcrossing; Biology; Genetic gain; Agronomy; Breeding program; Selection (genetic algorithm); Plant breeding; Crop; Pollination; Mutation breeding; Biotechnology; Ploidy; Genetic variation; Cultivar; Botany; Genetics","score_opus":0.032084111027161404,"score_gpt":0.2488353772593306,"score_spread":0.2167512662321692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810102070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964239,0.0002623393,2.848737e-7,0.001638282,0.00002862719,0.00010955272,0.00042923845,0.000035064855,0.0010727141],"genre_scores_gemma":[0.9984786,0.00012109327,0.000010092542,0.00006339953,0.00016575125,0.000016284335,0.00008826079,3.4592549e-7,0.0010561922],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989587,0.00006125528,0.00012566894,0.0002961517,0.00021646696,0.00034172446],"domain_scores_gemma":[0.9996485,0.00014340546,0.000034468412,0.000032904838,0.000055009,0.00008572442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013808325,0.00014227742,0.00022259876,0.000030118072,0.00024462896,0.000091352216,0.00014080384,0.00007180452,0.00014200452],"category_scores_gemma":[0.00005251859,0.00004274893,0.00006492755,0.00089609245,0.0001382998,0.00013616552,0.0001352595,0.00013811523,0.000011822551],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030371171,0.00005660679,0.36509475,0.000009846089,0.00023746291,0.000021557784,0.001818484,0.0000038006635,0.6171765,0.00006076695,0.008584594,0.0069053145],"study_design_scores_gemma":[0.000073266674,0.000119908924,0.98262554,0.000012954236,0.000035084693,0.0000038474304,0.0025291364,0.00001690287,0.0041633886,0.00007954234,0.010178309,0.00016209815],"about_ca_topic_score_codex":0.004108784,"about_ca_topic_score_gemma":0.1726718,"teacher_disagreement_score":0.6175308,"about_ca_system_score_codex":0.00003083808,"about_ca_system_score_gemma":0.000002681206,"threshold_uncertainty_score":0.8424248},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.01092572790188445,"score_gpt":0.21176391262390204,"score_spread":0.2008381847220176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907881069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98361725,0.000055197153,0.000023747334,0.015617356,0.00008868988,0.00046268885,0.0000068167187,0.000022935057,0.00010530976],"genre_scores_gemma":[0.99805665,0.0000034899394,0.000019629584,0.0015673244,0.0001901707,0.000042514668,0.00001880549,7.0523726e-7,0.000100699035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9989746,0.00016163962,0.00017707366,0.0002488924,0.00017430703,0.00026347418],"domain_scores_gemma":[0.9996226,0.00021409588,0.000020311305,0.000055911383,0.000023861247,0.00006321823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036357972,0.00012999038,0.00015857702,0.000020054356,0.00007488901,0.00006109811,0.0002679635,0.00014783266,0.000042601972],"category_scores_gemma":[0.00004310305,0.000038209342,0.000061826024,0.0005348438,0.0000024739331,0.00009287606,0.000026723481,0.00016716534,0.00008055417],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001901852,0.0002629556,0.079528764,0.000044926885,0.00001757427,0.00015622212,0.012457409,0.46434507,0.4317818,0.00039728024,0.0033882065,0.0057179304],"study_design_scores_gemma":[0.0010177569,0.003522225,0.9192857,0.000934417,0.000023852583,0.00020992628,0.020235417,0.018145971,0.00306613,0.0007109491,0.031261224,0.0015864186],"about_ca_topic_score_codex":0.00094013,"about_ca_topic_score_gemma":0.015307741,"teacher_disagreement_score":0.83975697,"about_ca_system_score_codex":0.000022481941,"about_ca_system_score_gemma":0.0000028215259,"threshold_uncertainty_score":0.8542079},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.020205515761079748,"score_gpt":0.2708814328126461,"score_spread":0.25067591705156633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910863948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99722266,0.00061514124,1.384785e-7,0.00036385172,0.000036824586,0.0015907737,0.000049880393,0.0000151247505,0.000105582236],"genre_scores_gemma":[0.999558,0.00009211124,0.00009933949,0.00006930775,0.000014613779,0.000082064675,0.000046199275,0.0000017240415,0.000036657013],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99859166,0.00038979994,0.000255572,0.000297347,0.00022615227,0.0002394397],"domain_scores_gemma":[0.9974139,0.0019331771,0.00048510495,0.00010385655,0.00004496126,0.00001904046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012311505,0.00017027711,0.00028554315,0.00002071026,0.0001626588,0.000040447518,0.00033707832,0.00013618442,0.0000028110528],"category_scores_gemma":[0.00021388488,0.000051098137,0.000048163958,0.0003317789,0.000120047065,0.00014362417,0.00013507516,0.00017910321,0.0000011171921],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010845391,0.00008734745,0.26711002,0.00007191156,0.000042032294,6.103155e-7,0.0009668956,0.0000013793497,0.7281186,0.00015467778,0.0000073549636,0.003330702],"study_design_scores_gemma":[0.0006812679,0.00069861393,0.7751332,0.0002018716,0.00009314854,0.000012956147,0.014494824,0.0000051909337,0.20761171,0.00055454345,0.00033150028,0.00018121378],"about_ca_topic_score_codex":0.0035050819,"about_ca_topic_score_gemma":0.0006946923,"teacher_disagreement_score":0.5205069,"about_ca_system_score_codex":0.000032174907,"about_ca_system_score_gemma":0.000007896543,"threshold_uncertainty_score":0.52986586},"labels":[],"label_agreement":null},{"id":"W2916769489","doi":"10.3390/agriculture9020040","title":"Multi-Stakeholder Focus Groups on Potential for Meat Inspection Data to Inform Management of Pig Health and Welfare on Farm","year":2019,"lang":"en","type":"article","venue":"Agriculture","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Welfare; Standardization; Stakeholder; Animal welfare; Benchmarking; Business; Focus group; Animal health; Pig farming; Marketing; Veterinary medicine; Medicine; Public relations; Political science","score_opus":0.12074125485286687,"score_gpt":0.3396818371564547,"score_spread":0.21894058230358787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916769489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888184,0.0002706727,0.00019302643,0.004857663,0.00041941405,0.0022761268,0.0007420731,0.00012961544,0.0022929956],"genre_scores_gemma":[0.99813163,0.00006427928,0.0006774465,0.00023814471,0.00006831925,0.000043695716,0.00028872592,0.000013632387,0.00047411115],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99895006,0.000014828357,0.0002135261,0.00038796873,0.00021000745,0.00022362603],"domain_scores_gemma":[0.99941224,0.000008837036,0.00009225194,0.00033652928,0.00006843077,0.000081699116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000074658965,0.00019104964,0.00023646951,0.000048042864,0.0002358399,0.000022875683,0.00018435011,0.00007210764,0.000016954355],"category_scores_gemma":[0.000005386007,0.00012257586,0.00005107707,0.00013285471,0.000014445823,0.00008482693,0.00023844952,0.00010869024,0.000026735031],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.021260586,0.007142419,0.042687036,0.007754972,0.0030262568,0.0003185099,0.023582097,0.0003045946,0.061734695,0.14186351,0.17764208,0.5126833],"study_design_scores_gemma":[0.0017891538,0.0049231336,0.94193685,0.00017979725,0.00007125037,0.000020099016,0.009627535,0.000022882878,0.00012034464,0.000013128533,0.04098719,0.00030866134],"about_ca_topic_score_codex":0.00014961229,"about_ca_topic_score_gemma":0.00012048154,"teacher_disagreement_score":0.8992498,"about_ca_system_score_codex":0.000051346247,"about_ca_system_score_gemma":0.000003979307,"threshold_uncertainty_score":0.49984986},"labels":[],"label_agreement":null},{"id":"W2921071589","doi":"10.3390/agriculture9030052","title":"Apatite Stimulates the Deposition of Glomalin-Related Soil Protein in a Lowbush Blueberry Commercial Field","year":2019,"lang":"en","type":"article","venue":"Agriculture","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Université du Québec à Chicoutimi","funders":"","keywords":"Glomalin; Vaccinium; Horticulture; Chemistry; Fungicide; Apatite; Agronomy; Botany; Biology; Mineralogy; Symbiosis","score_opus":0.003882198217617189,"score_gpt":0.18052418867484168,"score_spread":0.1766419904572245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921071589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99382305,0.00018448372,4.157775e-7,0.0020918953,0.00013514081,0.00041818776,0.00012710379,0.000023741679,0.0031959948],"genre_scores_gemma":[0.99862605,0.00003327535,0.0000142704575,0.00023154818,0.00008375827,0.000016362024,0.00037984434,5.2643725e-7,0.0006143566],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992913,0.00007516577,0.00021306642,0.00014586526,0.00012653267,0.00014808113],"domain_scores_gemma":[0.9991913,0.0005839139,0.00009345696,0.000046830723,0.000055864744,0.000028668903],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008238581,0.00010505763,0.00013834755,0.000008239762,0.000072487754,0.000024764495,0.00016718492,0.0001475706,0.0016956042],"category_scores_gemma":[0.000049268096,0.000029634997,0.00008474698,0.0003288118,0.000004888299,0.00007192205,0.000032085823,0.00022648831,0.00022895499],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009654322,0.00016183259,0.095651396,0.00001980028,0.000025320389,0.000005531524,0.0003121484,0.00027787412,0.8887379,0.0011169506,0.0062042554,0.0073904507],"study_design_scores_gemma":[0.0004616164,0.0011672687,0.8264961,0.0009944896,0.00006633081,0.000091443755,0.0013423158,0.0015833454,0.14223358,0.0019783396,0.022853622,0.00073154137],"about_ca_topic_score_codex":0.0038340965,"about_ca_topic_score_gemma":0.003598947,"teacher_disagreement_score":0.7465043,"about_ca_system_score_codex":0.000010697118,"about_ca_system_score_gemma":0.000003995532,"threshold_uncertainty_score":0.999217},"labels":[],"label_agreement":null},{"id":"W2922050310","doi":"10.3390/agriculture9030056","title":"Effects of Soil pH and Fertilizers on Haskap (Lonicera caerulea L.) Vegetative Growth","year":2019,"lang":"en","type":"article","venue":"Agriculture","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; Université du Québec à Chicoutimi","funders":"Fonds de recherche du Québec – Nature et technologies; Graymont","keywords":"Vegetative reproduction; Agronomy; Loam; Fertilizer; Cultivar; Ammonium nitrate; Biology; Manure; Biomass (ecology); Crop; Horticulture; Chemistry; Soil water","score_opus":0.004974727611667492,"score_gpt":0.17669479824882234,"score_spread":0.17172007063715486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922050310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99637854,0.0004813031,1.0441364e-7,0.00070940674,0.000078056735,0.00019849508,0.000017394897,0.00002857696,0.0021081392],"genre_scores_gemma":[0.9987028,0.00013456271,0.000005179378,0.00038396794,0.000055069642,0.0000136855715,0.00003490187,4.2298376e-7,0.00066939177],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99935675,0.000055095064,0.00010714431,0.00022380358,0.000110043366,0.00014717488],"domain_scores_gemma":[0.9994167,0.00035984095,0.00008198433,0.00002276767,0.00008081244,0.000037915117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003965416,0.00013236236,0.00020931862,0.000005360102,0.00010671543,0.000009271037,0.00008757311,0.00010157255,0.000029165512],"category_scores_gemma":[0.00003946364,0.000038430262,0.000055231027,0.0001564967,0.000053907093,0.00007629328,0.000036164365,0.000114916904,0.000052393298],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006901047,0.00007948297,0.00493573,0.000043640983,0.000053073923,0.0000018008078,0.00036322384,0.000004023705,0.9895483,0.0014749415,0.0024235651,0.0010031994],"study_design_scores_gemma":[0.00024304425,0.0002944593,0.9211211,0.00006016617,0.000016608787,0.0000021127082,0.00047707531,0.0000021101887,0.07609475,0.00042896532,0.0011338567,0.0001257622],"about_ca_topic_score_codex":0.00005949007,"about_ca_topic_score_gemma":0.000053610198,"teacher_disagreement_score":0.9161854,"about_ca_system_score_codex":0.000006860533,"about_ca_system_score_gemma":0.0000023256598,"threshold_uncertainty_score":0.15671407},"labels":[],"label_agreement":null},{"id":"W2923655614","doi":"10.3390/agriculture9030063","title":"Foliar Calcium Corrects a Deficiency Causing Green Fruit Drop in ‘Draper’ Highbush Blueberry (Vaccinium corymbosum L.)","year":2019,"lang":"en","type":"article","venue":"Agriculture","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of Agriculture; Government of British Columbia; British Columbia Blueberry Council","funders":"Agriculture and Agri-Food Canada; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Vaccinium; Cultivar; Human fertilization; Horticulture; Growing season; Biology; Agronomy; Botany","score_opus":0.01678014705980115,"score_gpt":0.21306211430096023,"score_spread":0.19628196724115907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923655614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926129,0.00059349986,0.0000011312494,0.0013078316,0.0004636611,0.00033701488,0.000047802154,0.0001027232,0.004533424],"genre_scores_gemma":[0.9951984,0.000055750606,0.000009830363,0.0008689719,0.0002441588,0.000024534002,0.00013130864,0.0000013484442,0.003465653],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99843615,0.000092064125,0.00028200803,0.0004906284,0.00022186346,0.0004772939],"domain_scores_gemma":[0.9994171,0.00018541027,0.00013333456,0.00007517796,0.0001124909,0.000076482924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011910984,0.00026595357,0.00035412886,0.000019809324,0.00024041331,0.000036264842,0.00023433608,0.0002634475,0.00030387912],"category_scores_gemma":[0.00003143413,0.00009201073,0.00011386393,0.0006983612,0.000042107295,0.00022077964,0.00012063669,0.0003105446,0.00032229355],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005635152,0.00020147067,0.06442919,0.000019455161,0.000030932344,0.000028104387,0.0006305073,0.000023139062,0.9184599,0.00093524513,0.011809245,0.003376493],"study_design_scores_gemma":[0.00029154684,0.00012864932,0.9798403,0.000058349968,0.00001884702,0.000031414736,0.0014028634,0.000021117932,0.00245814,0.00037101904,0.015025749,0.00035205053],"about_ca_topic_score_codex":0.0008449606,"about_ca_topic_score_gemma":0.0022163352,"teacher_disagreement_score":0.91600174,"about_ca_system_score_codex":0.000038917988,"about_ca_system_score_gemma":0.000011263441,"threshold_uncertainty_score":0.4142539},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.007679868786710366,"score_gpt":0.20402919476011333,"score_spread":0.19634932597340296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954512991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843916,0.00010029988,8.908641e-7,0.00007356109,0.00019807045,0.00020432961,0.00004473254,0.000061069244,0.014925424],"genre_scores_gemma":[0.9995783,0.000025229398,0.0000059800595,0.000018016646,0.00006358262,0.000007599527,0.000049853737,0.000008985481,0.00024244291],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999283,0.0000264006,0.00016962964,0.00012546306,0.0001995696,0.00019590864],"domain_scores_gemma":[0.99954706,0.0000588098,0.00007019227,0.00019705862,0.00008108898,0.000045769673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004606024,0.00018695841,0.0002384257,0.000022359558,0.00002238447,0.000011957055,0.0001731633,0.0001265601,0.00006837112],"category_scores_gemma":[0.000011796558,0.00007591717,0.00018147369,0.00028610945,0.00002535193,0.000105815496,0.000017990953,0.00024319575,0.00004326333],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005016937,0.000253688,0.019419402,0.000115136136,0.0007383463,0.000003300531,0.0011703329,0.054453164,0.84449774,0.0012116326,0.077004,0.0010830682],"study_design_scores_gemma":[0.00038282285,0.00020567185,0.8975068,0.00006956783,0.000029888235,0.000009198663,0.00026323445,0.00045121618,0.10065707,0.00004909365,0.00018096765,0.00019448448],"about_ca_topic_score_codex":0.0002100822,"about_ca_topic_score_gemma":0.000013934504,"teacher_disagreement_score":0.8780874,"about_ca_system_score_codex":0.000050320516,"about_ca_system_score_gemma":0.000009628712,"threshold_uncertainty_score":0.30958122},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.010371755421551474,"score_gpt":0.1943302703115884,"score_spread":0.18395851489003692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957199281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954845,0.00027977876,1.0685995e-7,0.0027582233,0.000075609845,0.0005272637,0.00036348437,0.00006478723,0.00044626946],"genre_scores_gemma":[0.9987937,0.000023822156,0.00011054766,0.00054606074,0.00017727066,0.000047012833,0.00018260173,0.0000019308095,0.00011703729],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99850774,0.000107696724,0.00022041383,0.0004965137,0.0003115745,0.0003560591],"domain_scores_gemma":[0.99936676,0.00025048,0.00007078273,0.000067979825,0.00007965781,0.00016435515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011010438,0.0002381552,0.0002511052,0.000033128952,0.00010426373,0.00009931277,0.00029664088,0.00017001633,0.00032802607],"category_scores_gemma":[0.00013722875,0.00008850242,0.00006698578,0.00052114925,0.00003430187,0.00021431033,0.00013919671,0.00016475523,0.00014600322],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032848002,0.00015681684,0.14518113,0.000023391918,0.000017458568,0.000005864118,0.00008547829,1.171974e-7,0.8527117,0.0002862086,0.0011514263,0.00034756277],"study_design_scores_gemma":[0.0002632782,0.0001694614,0.6726671,0.00020845914,0.000009192721,0.000008472581,0.000494985,7.318492e-7,0.3253379,0.0001422165,0.0004090796,0.0002891333],"about_ca_topic_score_codex":0.000987168,"about_ca_topic_score_gemma":0.0005992,"teacher_disagreement_score":0.52748597,"about_ca_system_score_codex":0.000040341074,"about_ca_system_score_gemma":0.0000070433007,"threshold_uncertainty_score":0.3609024},"labels":[],"label_agreement":null},{"id":"W2966428350","doi":"10.3390/agriculture9080172","title":"The Effect of Cover Crops on the Yield of Spring Barley in Estonia","year":2019,"lang":"en","type":"article","venue":"Agriculture","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Rural Affairs; Eesti Teadusagentuur","keywords":"Cover crop; Vicia villosa; Secale; Agronomy; Hordeum vulgare; Raphanus; Trifolium alexandrinum; Biology; Crop; Forage; Poaceae","score_opus":0.007798187916205938,"score_gpt":0.19183524802446889,"score_spread":0.18403706010826296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966428350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920669,0.00018830897,1.07065155e-7,0.001460904,0.00016988393,0.00027700714,0.0000038718936,0.000006023823,0.005826978],"genre_scores_gemma":[0.9989703,0.00002335615,8.4508974e-7,0.000052640968,0.00007805405,0.000007094519,0.0000014641778,4.3918217e-7,0.00086579873],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99932206,0.000112721515,0.00018699566,0.0001250317,0.00012285994,0.00013033827],"domain_scores_gemma":[0.99854845,0.0011712038,0.00016244952,0.00007676817,0.000024984312,0.000016157059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039980435,0.00009085584,0.00015601129,0.0000030032809,0.00006204083,0.000026882331,0.00030742012,0.00006974551,0.0001271532],"category_scores_gemma":[0.000089722125,0.000016546603,0.000089396475,0.00013532427,0.00003091991,0.00006351222,0.00005123924,0.00015692088,0.00007236017],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014493438,0.000039232244,0.24077986,0.000025143501,0.00004142116,9.362755e-7,0.00019458566,0.000105929124,0.7429714,0.002589545,0.007890774,0.0052162088],"study_design_scores_gemma":[0.00011833432,0.0007916773,0.9128407,0.00018287463,0.000009262963,0.0000026623873,0.0004969444,0.000032104228,0.042607106,0.000015402476,0.042801656,0.00010123462],"about_ca_topic_score_codex":0.0022534044,"about_ca_topic_score_gemma":0.0006902378,"teacher_disagreement_score":0.70036435,"about_ca_system_score_codex":0.000015282185,"about_ca_system_score_gemma":0.0000024817687,"threshold_uncertainty_score":0.34064883},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.005289816622053551,"score_gpt":0.17947481166451434,"score_spread":0.1741849950424608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972211871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987796,0.000055966455,4.1529873e-8,0.00038214322,0.000058017653,0.00048312466,0.00014121135,0.000007344485,0.00009256337],"genre_scores_gemma":[0.99974823,0.000059438065,0.0000023593257,0.000017445253,0.000012067869,0.000009872418,0.0001010491,5.9545636e-7,0.000048952304],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992273,0.00010946058,0.00022907984,0.00016254887,0.00016165808,0.00010993895],"domain_scores_gemma":[0.9993158,0.00037452,0.00017547797,0.000038427912,0.00005228101,0.000043471813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000112232774,0.00013099406,0.0003917544,0.000016402917,0.000018213714,0.0000074403947,0.0000837079,0.00008976146,0.000008891038],"category_scores_gemma":[0.0000417532,0.00003887729,0.000038617985,0.00010334029,0.000024492103,0.000036231646,0.000044043423,0.00007202029,0.0000011277505],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017245758,0.00023065663,0.042032845,0.0001337986,0.000018542696,0.0000017941725,0.00009157484,6.897053e-8,0.95626247,0.00018079762,0.00008365413,0.0007913161],"study_design_scores_gemma":[0.0004782728,0.0007675519,0.5162597,0.00012286304,0.000011124065,0.000002833698,0.000030180792,0.0000057815546,0.48224655,0.000008622945,0.00001540639,0.00005114366],"about_ca_topic_score_codex":0.000049819184,"about_ca_topic_score_gemma":0.000023762648,"teacher_disagreement_score":0.47422683,"about_ca_system_score_codex":0.0000102329,"about_ca_system_score_gemma":0.0000012440853,"threshold_uncertainty_score":0.15853699},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.005103153863332686,"score_gpt":0.19013165491887332,"score_spread":0.18502850105554064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2988175174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99776936,0.00068338146,7.4917284e-7,0.0007335535,0.000043892407,0.00036060732,0.00009634467,0.000033702825,0.00027839135],"genre_scores_gemma":[0.9992666,0.0003293552,0.00011346376,0.00003960712,0.000036272922,0.000007465218,0.00006538828,9.868354e-7,0.00014084006],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991711,0.00003681126,0.00020266653,0.0002756255,0.00016243439,0.00015137634],"domain_scores_gemma":[0.999533,0.00006521056,0.000195931,0.000038326907,0.0001156537,0.000051861345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110530935,0.00015004759,0.00023456987,0.000015781961,0.000053034062,0.000037693113,0.000120469194,0.00013924816,0.000012352819],"category_scores_gemma":[0.000027338803,0.000056885994,0.000030705585,0.00015377482,0.00009825819,0.0003282842,0.00008055207,0.00011146191,0.0000013517665],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024217543,0.00006442495,0.021646883,0.000068976835,0.000011513764,0.0000010980765,0.000093810806,6.362307e-9,0.97489405,0.00042656992,0.00008593848,0.0026825357],"study_design_scores_gemma":[0.00011513284,0.0006237414,0.50828403,0.000052188556,0.000010658063,0.000009984162,0.00010792044,8.154693e-7,0.4905085,0.00014816267,0.000043679884,0.000095165444],"about_ca_topic_score_codex":0.0003306078,"about_ca_topic_score_gemma":0.00004851426,"teacher_disagreement_score":0.48663718,"about_ca_system_score_codex":0.000005683356,"about_ca_system_score_gemma":0.0000030365723,"threshold_uncertainty_score":0.23197435},"labels":[],"label_agreement":null},{"id":"W2996343877","doi":"10.3390/agriculture9120263","title":"Agroclimatic Risk Zoning of Avocado (Persea americana) in the Hydrographic Basin of Paraná River III, Brazil","year":2019,"lang":"en","type":"article","venue":"Agriculture","topic":"Environmental and biological studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Persea; Zoning; Context (archaeology); Geography; Environmental science; Agriculture; Structural basin; Water balance; Water resource management; Agroforestry; Biology","score_opus":0.003070984736588544,"score_gpt":0.17532349153955132,"score_spread":0.17225250680296278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996343877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921716,0.00021328952,0.0000034964976,0.00024974998,0.000018673225,0.00022943842,0.000010604978,0.000006024751,0.0070971157],"genre_scores_gemma":[0.9990528,0.0003973507,0.00016814891,0.00023086328,0.000008733314,0.000010060578,0.0000070520473,0.0000022406402,0.00012273528],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990812,0.0000963756,0.00019401636,0.00019528324,0.00025010607,0.00018301008],"domain_scores_gemma":[0.99958515,0.000094734285,0.00015942987,0.00013365007,0.0000022888287,0.000024736044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017103703,0.0001216354,0.00022119372,0.000010847081,0.000057835452,0.0000036298175,0.00025345982,0.00005940058,0.0003993524],"category_scores_gemma":[0.000014255343,0.000052077623,0.000103804654,0.00038252107,0.00041423886,0.000058469363,0.0001291663,0.00015492833,0.00008435455],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010225922,0.00014102638,0.9774761,0.0000100175075,0.000017451013,0.0000016148391,0.001190109,0.00026262912,0.018604768,0.000030139063,0.0007164464,0.0015394249],"study_design_scores_gemma":[0.00022717964,0.00015624105,0.99491394,0.000022148859,0.000019824603,0.0000020389823,0.0020490282,0.000017194283,0.00092306815,0.00017477051,0.0013968222,0.000097737124],"about_ca_topic_score_codex":0.0017716696,"about_ca_topic_score_gemma":0.0002633497,"teacher_disagreement_score":0.0176817,"about_ca_system_score_codex":0.000023585191,"about_ca_system_score_gemma":7.5825756e-7,"threshold_uncertainty_score":0.43726286},"labels":[],"label_agreement":null},{"id":"W2996735224","doi":"10.3390/agriculture10010003","title":"Time–Cost–Quality Trade-Off in a Broiler Production Project Using Meta-Heuristic Algorithms: A Case Study","year":2019,"lang":"en","type":"article","venue":"Agriculture","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Particle swarm optimization; Algorithm; Production (economics); Quality (philosophy); Fuzzy logic; Mathematical optimization; Process (computing); Meta heuristic; Interval (graph theory); Computer science; Heuristic; Function (biology); Mathematics; Operations research; Economics; Artificial intelligence","score_opus":0.054499627479857544,"score_gpt":0.33105631575690614,"score_spread":0.2765566882770486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996735224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.737791,0.00097038434,0.2433881,0.001076612,0.0017425773,0.01354236,0.00004363429,0.00095049775,0.0004948149],"genre_scores_gemma":[0.7231783,0.000020440399,0.27346423,0.00016719941,0.00041526798,0.00036349564,0.000027062577,0.000051406565,0.0023125617],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970312,0.0005222723,0.00049618864,0.0010855374,0.00046762935,0.00039714065],"domain_scores_gemma":[0.99865294,0.000098118675,0.00026871913,0.0006646379,0.0002344164,0.000081156024],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005824872,0.00035916318,0.00053690624,0.00018846743,0.00015072194,0.00013066662,0.00041509085,0.000119470686,0.000024437777],"category_scores_gemma":[0.00017288436,0.00024529625,0.00014031559,0.0018426271,0.000035748653,0.0011430497,0.00018748347,0.00038401893,0.00005171163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001319011,0.010273875,0.004799148,0.00033815549,0.0031250715,0.008722042,0.09775454,0.72652507,0.026955385,0.0006723005,0.0035109504,0.11719159],"study_design_scores_gemma":[0.0066712215,0.0009891274,0.013575398,0.00013210201,0.0009910872,0.0133548165,0.019626867,0.93301874,0.0037141177,0.00031577662,0.004261827,0.003348943],"about_ca_topic_score_codex":0.00036377908,"about_ca_topic_score_gemma":0.00010358613,"teacher_disagreement_score":0.20649368,"about_ca_system_score_codex":0.00025398948,"about_ca_system_score_gemma":0.00009939248,"threshold_uncertainty_score":0.99999994},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.04184444144029103,"score_gpt":0.29723614845126306,"score_spread":0.255391707010972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997196391","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00041087237,0.9951383,2.8108525e-8,0.00025655224,0.00010976489,0.0013836586,0.00055088475,0.000025588528,0.002124343],"genre_scores_gemma":[0.00016969911,0.9971214,0.000008105893,0.0002547612,0.000117432406,0.00009092289,0.0016358502,0.0000018005716,0.0006000201],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980378,0.0002783543,0.0005983653,0.0005042995,0.00025121245,0.00032993106],"domain_scores_gemma":[0.9986955,0.0005271931,0.00049585215,0.000087504326,0.00010884402,0.000085086576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016340803,0.00041188102,0.0020866287,0.000050965762,0.000047120997,0.000015251653,0.00046051416,0.00045359557,0.00023716454],"category_scores_gemma":[0.00014798476,0.00012414472,0.0006120429,0.0012130797,0.000076225595,0.00010486805,0.00011756904,0.0003793161,0.0002389793],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025911968,0.0005899827,0.00006771557,0.05055999,0.00015298922,0.00007322887,0.00004498808,1.5852824e-7,0.0005900009,0.0011629607,0.09594183,0.85079026],"study_design_scores_gemma":[0.00012016251,0.00023663012,0.0008022329,0.05452085,0.00014649023,0.00004102881,0.0000885417,2.6747722e-8,0.00002004234,0.0000808107,0.94362736,0.00031581297],"about_ca_topic_score_codex":0.00010829362,"about_ca_topic_score_gemma":0.000044268054,"teacher_disagreement_score":0.8504744,"about_ca_system_score_codex":0.000054994456,"about_ca_system_score_gemma":0.00003292018,"threshold_uncertainty_score":0.50624746},"labels":[],"label_agreement":null},{"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.027692891391725684,"score_gpt":0.2831867439491873,"score_spread":0.2554938525574616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999455084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9468874,0.002970526,0.0012676602,0.03975922,0.00024729935,0.0045473846,0.00048269698,0.0007548942,0.003082947],"genre_scores_gemma":[0.9851062,0.00020125977,0.013198245,0.0004311821,0.00021773562,0.00023146221,0.00036560313,0.0000011099277,0.0002471754],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99928427,0.00004999001,0.00016165579,0.0002678082,0.00009296714,0.00014329098],"domain_scores_gemma":[0.9997587,0.000035436737,0.00006981482,0.000033875684,0.0000413911,0.000060731953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009323372,0.00010201546,0.00014676376,0.000006933879,0.0000369761,0.00001550038,0.00018354878,0.000040814666,0.000029871399],"category_scores_gemma":[0.000034786262,0.0000347628,0.0000787969,0.00041782175,0.000016258355,0.00008721262,0.0000688535,0.00004064454,0.0000025881845],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019047555,0.00043586196,0.004815562,0.00054407655,0.00009915283,0.000013820855,0.00011835259,0.000054957964,0.49477205,0.004624814,0.08763538,0.4066955],"study_design_scores_gemma":[0.00035971968,0.00037523246,0.7207128,0.00019452542,0.00019013706,0.000001632182,0.0009516026,0.00015321857,0.056387577,0.0040218937,0.21615839,0.00049331994],"about_ca_topic_score_codex":0.000015356127,"about_ca_topic_score_gemma":0.000018618526,"teacher_disagreement_score":0.7158972,"about_ca_system_score_codex":0.000011235575,"about_ca_system_score_gemma":0.0000011858548,"threshold_uncertainty_score":0.14175859},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.015215643695277219,"score_gpt":0.2007254159477394,"score_spread":0.18550977225246218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005086907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943252,0.00028789954,0.0000020381317,0.00483986,0.000018065233,0.00013005121,0.00006733702,0.000026711896,0.0003028119],"genre_scores_gemma":[0.9991095,0.00006559936,0.000052810778,0.0003988322,0.00010426247,0.0000051633806,0.00025935276,3.1807215e-7,0.0000041600497],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994226,0.000035081157,0.00014978547,0.00018879984,0.00010222263,0.0001015299],"domain_scores_gemma":[0.99972457,0.0000748686,0.00006892298,0.000013487691,0.00006032279,0.000057833055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000021118938,0.00009463964,0.00017649372,0.0000019777465,0.000043524145,0.000011124052,0.000060733393,0.000085267886,0.000024938128],"category_scores_gemma":[0.000012533025,0.00003219443,0.000031968106,0.0002127181,0.00005984613,0.000072488416,0.000036344754,0.0000913505,0.000003898134],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048394064,0.00004771369,0.017465413,0.0000032863218,0.000012879008,0.0000010944686,0.00069452164,0.0000012673441,0.97972935,0.00008568274,0.0010627207,0.0008476658],"study_design_scores_gemma":[0.0004164934,0.00011839472,0.8084311,0.00003763407,0.000015199987,0.0000018163107,0.0021583347,0.000029959421,0.18636946,0.000062276005,0.0022022938,0.00015702251],"about_ca_topic_score_codex":0.00033829684,"about_ca_topic_score_gemma":0.00005359374,"teacher_disagreement_score":0.7933599,"about_ca_system_score_codex":0.00001233677,"about_ca_system_score_gemma":0.0000023440452,"threshold_uncertainty_score":0.13128509},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.013195538752702234,"score_gpt":0.2501157994814632,"score_spread":0.23692026072876093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007078662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940396,0.000077292265,0.00017945784,0.0018399848,0.00002102766,0.0002244104,0.00003496626,0.00001816444,0.0035651128],"genre_scores_gemma":[0.993318,0.00027222434,0.00594318,0.00033235562,0.000024162899,0.00002562395,0.000013614442,0.0000045679567,0.0000662614],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886334,0.00016741316,0.0002538081,0.00028612424,0.0002579081,0.00017141458],"domain_scores_gemma":[0.9995398,0.00013979706,0.00009880413,0.0000987341,0.0000029420885,0.00011995878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021821939,0.00012128143,0.00021111204,0.000010840074,0.000058785045,0.00001127829,0.00012628447,0.00008486624,0.0006902432],"category_scores_gemma":[0.00016405637,0.00007703457,0.000035831898,0.00017250783,0.00013468387,0.00011086366,0.00016392507,0.0002092683,0.00004846518],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010969383,0.00026349933,0.93442994,0.00001848781,0.000024632485,0.000029244022,0.0009014903,0.027860193,0.030874228,0.00020160095,0.0045717005,0.00081401266],"study_design_scores_gemma":[0.00019530219,0.00011694953,0.9934407,0.00000695643,0.000031922933,0.0000051061083,0.0002642621,0.00048971415,0.0035636562,0.00022520736,0.001551969,0.00010823808],"about_ca_topic_score_codex":0.00024902055,"about_ca_topic_score_gemma":0.0005083388,"teacher_disagreement_score":0.059010774,"about_ca_system_score_codex":0.000066250584,"about_ca_system_score_gemma":0.000005973242,"threshold_uncertainty_score":0.7557679},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.024322395991922638,"score_gpt":0.21339426071701617,"score_spread":0.18907186472509352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009692694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99480945,0.00008541124,0.00017091724,0.0033078813,0.000032120126,0.00032604532,0.000075157586,0.000016688413,0.0011763291],"genre_scores_gemma":[0.99906385,0.000154174,0.000066851906,0.0005130746,0.00004437239,0.000023210645,0.00009289068,0.00000882446,0.000032735275],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989267,0.000049821738,0.00021810817,0.00029277842,0.00023765276,0.000274919],"domain_scores_gemma":[0.9997163,0.000029492188,0.000050330855,0.00011439901,0.000007861814,0.00008161913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001592652,0.00019401402,0.00017347671,0.000027515618,0.0000892229,0.00004541043,0.00012075467,0.00011976461,0.00007585526],"category_scores_gemma":[0.000004276343,0.000092662514,0.00004616711,0.00013584613,0.000052313026,0.0002571653,0.000106099695,0.00022019593,0.0000120733985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006424391,0.00058883475,0.28738207,0.00037033032,0.00015530181,0.00022612973,0.08106065,0.44400588,0.1742962,0.00092936185,0.006588102,0.0037546842],"study_design_scores_gemma":[0.002426102,0.0014598316,0.3476386,0.0008356406,0.00024016382,0.00022922205,0.0032333008,0.6312044,0.00796501,0.001554459,0.0017575305,0.0014556942],"about_ca_topic_score_codex":0.000412238,"about_ca_topic_score_gemma":0.00016478065,"teacher_disagreement_score":0.18719856,"about_ca_system_score_codex":0.00004649463,"about_ca_system_score_gemma":0.0000012351869,"threshold_uncertainty_score":0.37786677},"labels":[],"label_agreement":null},{"id":"W3013646843","doi":"10.3390/agriculture10040091","title":"Sustainable Arthropod Management in Quebec Vineyards","year":2020,"lang":"en","type":"article","venue":"Agriculture","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Sustainability; Integrated pest management; Geography; Viticulture; Government (linguistics); Agroforestry; PEST analysis; Environmental protection; Environmental planning; Environmental resource management; Ecology; Business; Biology; Wine; Environmental science","score_opus":0.0033730137634405935,"score_gpt":0.1808998478747253,"score_spread":0.1775268341112847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013646843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6487106,0.0001110614,0.00019956987,0.014991174,0.00013650073,0.0010678342,0.0000019301556,0.00015907314,0.33462226],"genre_scores_gemma":[0.96088,0.000035286124,0.00036162607,0.002976822,0.00003742634,0.00004969111,0.000011096846,0.0000050430835,0.035643008],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999214,0.000022586444,0.00010680772,0.0002463731,0.00012894323,0.00028127554],"domain_scores_gemma":[0.9997969,0.000004815042,0.000026058515,0.000096260876,0.0000036224292,0.00007229414],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000058598187,0.000102138496,0.00008829433,0.000013071651,0.0000707319,0.000020151423,0.00017991876,0.000056737772,0.0024771534],"category_scores_gemma":[0.000008831559,0.00007258355,0.000031118,0.0004084578,0.000049815906,0.00016868422,0.0003006917,0.00010819327,0.0011381966],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040513605,0.00025862895,0.021138469,0.00008458205,0.00004931442,0.0010197312,0.002604894,0.008121605,0.001048272,0.05043629,0.9083703,0.006827397],"study_design_scores_gemma":[0.0004225595,0.000059175334,0.35867056,0.0000038036105,0.000012480897,0.0000020089974,0.0027726751,0.00007403956,0.0001127412,0.0007128206,0.6369909,0.00016622707],"about_ca_topic_score_codex":0.005893371,"about_ca_topic_score_gemma":0.021017324,"teacher_disagreement_score":0.3375321,"about_ca_system_score_codex":0.00014578804,"about_ca_system_score_gemma":0.0000026176476,"threshold_uncertainty_score":0.9996395},"labels":[],"label_agreement":null},{"id":"W3035596837","doi":"10.3390/agriculture10060214","title":"On-Farm Evaluation on Yield and Economic Performance of Cereal-Cowpea Intercropping to Support the Smallholder Farming System in the Soudano-Sahelian Zone of Mali","year":2020,"lang":"en","type":"article","venue":"Agriculture","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Consortium of International Agricultural Research Centers; McKnight Foundation","keywords":"Sorghum; Intercropping; Agronomy; Yield (engineering); Agriculture; Biomass (ecology); Mathematics; Food security; Agricultural science; Biology","score_opus":0.04806689730685118,"score_gpt":0.2389024216255424,"score_spread":0.19083552431869122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035596837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99232006,0.00004965376,0.0000022874801,0.004729801,0.00011366082,0.0005240006,0.000022364999,0.000010655059,0.0022274952],"genre_scores_gemma":[0.9989264,0.000016634442,0.0000045238876,0.0007543472,0.0001983618,0.00003006236,0.000012649707,0.0000010968512,0.000055939843],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99894893,0.00011701573,0.0003561147,0.00024469747,0.00017882393,0.00015442671],"domain_scores_gemma":[0.99935603,0.00025762132,0.00021957765,0.000074198426,0.00004838836,0.00004418686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061955774,0.00013739264,0.00021041729,0.000011124727,0.00009494357,0.000048817452,0.00033708007,0.00007323855,0.000041962205],"category_scores_gemma":[0.00005183556,0.00003804693,0.00006536047,0.00015156137,0.000028777555,0.00007155796,0.00006429006,0.00016743693,0.000023045726],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009776697,0.00033938594,0.02950453,0.00069271604,0.00024099473,0.000009417072,0.03465668,0.0070842644,0.7033183,0.005678157,0.012223778,0.2052741],"study_design_scores_gemma":[0.0010296673,0.007985049,0.8298065,0.0024111078,0.00016912694,0.00010630899,0.09383143,0.0083720395,0.026884217,0.000014669906,0.028500576,0.00088930776],"about_ca_topic_score_codex":0.0010431081,"about_ca_topic_score_gemma":0.0009974156,"teacher_disagreement_score":0.80030197,"about_ca_system_score_codex":0.000052400774,"about_ca_system_score_gemma":0.000009281491,"threshold_uncertainty_score":0.15768743},"labels":[],"label_agreement":null},{"id":"W3043701989","doi":"10.3390/agriculture10070296","title":"Particle Size Imbalance Index from Compositional Analysis to Evaluate Cereal Sustainability for Arid Soils in Eastern Algeria","year":2020,"lang":"en","type":"article","venue":"Agriculture","topic":"Banana Cultivation and Research","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Silt; Soil water; Arid; Yield (engineering); Soil texture; Mathematics; Aridity index; Agronomy; Particle size; Homogeneous; Loam; Environmental science; Tillage; Soil test; Soil science; Geology; Ecology; Biology; Physics","score_opus":0.02873858388002463,"score_gpt":0.28727108405601604,"score_spread":0.2585325001759914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043701989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95120907,0.00003891199,0.00007268209,0.047860365,0.000021313024,0.0004926098,0.00019900908,0.000034618235,0.000071447736],"genre_scores_gemma":[0.99790907,0.0000032483078,0.000095230185,0.0011756652,0.00024026785,0.000087323635,0.0003045633,6.8102e-7,0.00018397669],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99866,0.00011264808,0.00022302064,0.00040438425,0.00029509948,0.0003048471],"domain_scores_gemma":[0.9991061,0.00025885573,0.00005076868,0.000047002686,0.00031040932,0.00022686922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016751543,0.00012620547,0.0002286903,0.0000070172937,0.00012515619,0.00008250387,0.00022437464,0.00009623813,0.00040380127],"category_scores_gemma":[0.00022919968,0.00004472586,0.00014382617,0.001242633,0.000028274393,0.000089960966,0.00007222242,0.00012565746,0.000026634278],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050921965,0.00033496818,0.6150405,0.000018876728,0.00024761015,0.000008326427,0.0010109657,0.0025376892,0.36123312,0.0003109542,0.004694531,0.014053296],"study_design_scores_gemma":[0.00032390372,0.000109621265,0.9902703,0.000004639147,0.00003307596,1.8339252e-7,0.00065697794,0.0032423255,0.0020424633,0.00038228056,0.0027894573,0.00014473904],"about_ca_topic_score_codex":0.001287771,"about_ca_topic_score_gemma":0.0032386845,"teacher_disagreement_score":0.37522987,"about_ca_system_score_codex":0.00006290438,"about_ca_system_score_gemma":0.000018324534,"threshold_uncertainty_score":0.44213408},"labels":[],"label_agreement":null},{"id":"W3046865845","doi":"10.3390/agriculture10080320","title":"Data Driven Enhancements to the Intestinal Integrity (I2) Index: A Novel Approach to Support Poultry Sustainability","year":2020,"lang":"en","type":"article","venue":"Agriculture","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Flock; Index (typography); Sustainability; Production (economics); Feed conversion ratio; Poultry farming; Statistics; Environmental science; Veterinary medicine; Environmental economics; Business; Mathematics; Computer science; Medicine; Biology; Ecology; Economics; Body weight","score_opus":0.0792551212038805,"score_gpt":0.28200981658929336,"score_spread":0.20275469538541285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046865845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8951306,0.000021196403,0.0012568558,0.09984967,0.00009641419,0.001246732,0.00086248433,0.00013304949,0.0014030314],"genre_scores_gemma":[0.98515946,0.0000031972995,0.00064755185,0.01225435,0.0006913412,0.000057975176,0.0010201485,9.971601e-7,0.0001649551],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9984711,0.000081938444,0.00022407991,0.0006490747,0.00023384258,0.0003400001],"domain_scores_gemma":[0.99912024,0.00007994905,0.00006189024,0.0001568702,0.00026130266,0.0003197599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016425819,0.00019663955,0.00020976974,0.0000048648135,0.00022283666,0.00007045472,0.0012811613,0.00012401374,0.00018232955],"category_scores_gemma":[0.00040605917,0.000056256114,0.000067669294,0.00070393446,0.00004564468,0.00016079897,0.0007857518,0.00042003638,0.0001287533],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041544565,0.0012197179,0.02205473,0.00006338278,0.00005182582,0.0000055058554,0.0012920072,0.00008634796,0.41969144,0.0025524641,0.5395666,0.013000555],"study_design_scores_gemma":[0.00021312946,0.0010789594,0.5075515,0.000015756748,0.00001958955,0.000016259544,0.00657006,0.0001712759,0.00020334922,0.00019757471,0.48359412,0.00036844861],"about_ca_topic_score_codex":0.00023634583,"about_ca_topic_score_gemma":0.00023845753,"teacher_disagreement_score":0.48549676,"about_ca_system_score_codex":0.000040318933,"about_ca_system_score_gemma":0.000021961077,"threshold_uncertainty_score":0.23807378},"labels":[],"label_agreement":null},{"id":"W3047643137","doi":"10.3390/agriculture10080341","title":"Microbial and Parasitic Contamination of Fresh Raw Vegetable Samples and Detection of the BlaTEM and BlaCTX-M Genes from E. coli Isolates","year":2020,"lang":"en","type":"article","venue":"Agriculture","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Biology; Escherichia coli; Tetracycline; Microbiology; Polymerase chain reaction; Contamination; Gene; Antibiotics; Genetics","score_opus":0.005999905411812677,"score_gpt":0.18707110118724518,"score_spread":0.18107119577543251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047643137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953829,0.0041600913,0.00009850532,0.00015232737,0.000032858345,0.00011788602,0.000041349296,0.0000024430265,0.0000116076435],"genre_scores_gemma":[0.99886334,0.00084723346,0.00012786708,0.00004655145,0.00006456543,8.7003275e-7,0.000027460597,0.000003853468,0.000018241142],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996212,0.000030455403,0.00010900789,0.00014849452,0.00003268206,0.000058145502],"domain_scores_gemma":[0.9997564,0.000014886178,0.00009191151,0.00006298334,0.00004962748,0.000024178942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000023342347,0.00007367658,0.0001102458,0.0000041570092,0.000039477087,0.0000136198505,0.000042402313,0.000103321785,0.0000018757887],"category_scores_gemma":[0.00002923791,0.00004609543,0.000019124742,0.0000358996,0.00009476953,0.000004939399,0.000037193437,0.00003411148,9.8136724e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003780117,0.0000069545436,0.03780404,0.000042904077,0.000031820142,1.3035059e-7,0.00013351196,0.0000016408624,0.9614724,0.00000969204,0.00009193971,0.00036719316],"study_design_scores_gemma":[0.00017294512,0.00005332584,0.34292576,0.00001762711,0.000027912194,0.0000025516597,0.0001413001,0.000010560692,0.6559521,0.00001615289,0.0006377982,0.000041989886],"about_ca_topic_score_codex":0.0000764172,"about_ca_topic_score_gemma":0.00019537518,"teacher_disagreement_score":0.3055203,"about_ca_system_score_codex":0.0000021330475,"about_ca_system_score_gemma":0.000007170767,"threshold_uncertainty_score":0.18797171},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.015121944760535326,"score_gpt":0.24209380358740687,"score_spread":0.22697185882687154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092088357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6841605,0.0065480643,0.0004752401,0.29776275,0.0008293118,0.0017554335,0.00018716244,0.00013124091,0.008150304],"genre_scores_gemma":[0.9970519,0.0015667052,0.000060591217,0.000963079,0.00013973532,0.000080092344,0.000047116147,0.0000051646334,0.000085640655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991313,0.00003449259,0.00011697166,0.00027561488,0.00007203503,0.00036958925],"domain_scores_gemma":[0.999715,0.00002445125,0.000018977844,0.000050228256,0.000005685809,0.0001857128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000078905,0.00010879199,0.000116132236,0.00003670934,0.00022598145,0.000016476128,0.00006275191,0.0000890922,0.00006373063],"category_scores_gemma":[0.000051104445,0.00008766859,0.000026086585,0.00016773722,0.00007713667,0.00017415092,0.00006854304,0.00016343004,0.000027771352],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012651036,0.00082408177,0.54925525,0.000681906,0.00021989185,0.00009444183,0.14013958,0.0069697946,0.0015197835,0.0089350585,0.21975572,0.07147799],"study_design_scores_gemma":[0.00034281897,0.00003413243,0.6109794,0.00002344766,0.000019967949,0.0000029475273,0.0043044835,0.00054737355,0.000010147022,0.0004485156,0.38313612,0.00015068114],"about_ca_topic_score_codex":0.018995505,"about_ca_topic_score_gemma":0.25058645,"teacher_disagreement_score":0.3128914,"about_ca_system_score_codex":0.00013180348,"about_ca_system_score_gemma":0.000005932129,"threshold_uncertainty_score":0.9875371},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.0047618947715204986,"score_gpt":0.1866258003732593,"score_spread":0.1818639056017388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092615189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981539,0.000040326322,0.0000035066964,0.0013160319,0.000037041114,0.00027160693,0.00011013499,0.000023927701,0.000043495493],"genre_scores_gemma":[0.9996192,0.0000045944066,0.000014657816,0.00013491142,0.00008014278,0.0000060528187,0.00013265145,0.0000057943603,0.0000020335708],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99937415,0.00006209448,0.0001377674,0.00018027732,0.00014795712,0.00009776805],"domain_scores_gemma":[0.99968106,0.00005277494,0.00013637074,0.00005365577,0.00003107072,0.00004505699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000037502286,0.00011803366,0.0001719347,0.000009641888,0.000054894488,0.000023744238,0.00006567061,0.00005800757,0.0000070497335],"category_scores_gemma":[0.000039797622,0.00006241767,0.000025969799,0.00013910217,0.000044989643,0.00012605719,0.00004647409,0.00008489425,0.0000011654132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047511556,0.000008666954,0.00026449424,0.00011051923,0.000006021872,3.206172e-7,0.00063075183,5.0984704e-7,0.9985113,0.0002823703,0.00010776825,0.000029757257],"study_design_scores_gemma":[0.0002734181,0.0002265031,0.010674745,0.000057497124,0.000019177567,0.0000033949232,0.000025498433,0.00006351003,0.9885563,0.000017501778,0.0000044424087,0.00007797299],"about_ca_topic_score_codex":0.0000046688156,"about_ca_topic_score_gemma":1.2188195e-7,"teacher_disagreement_score":0.01041025,"about_ca_system_score_codex":0.0000030095914,"about_ca_system_score_gemma":0.0000031879988,"threshold_uncertainty_score":0.2545319},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.02427379860622762,"score_gpt":0.1903269842424133,"score_spread":0.16605318563618568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093470871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845446,0.00015225777,2.2864812e-8,0.014985456,0.0000112118405,0.00015350134,0.0000149049665,0.000019312283,0.00011876091],"genre_scores_gemma":[0.9975397,0.000019911708,0.0000039576785,0.0022805533,0.00012483973,0.00001405651,0.0000070045435,5.763072e-7,0.000009375491],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999287,0.000054204666,0.00016188256,0.00013673627,0.00023853032,0.00012161827],"domain_scores_gemma":[0.9996054,0.00008119735,0.0001280196,0.000050440533,0.000086768814,0.000048168044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000667259,0.00010693171,0.00012755844,0.0000015790033,0.00008520981,0.000014747724,0.00032216936,0.00005151333,0.000013697569],"category_scores_gemma":[0.00011489805,0.000021172984,0.00009054057,0.00032647306,0.00015698804,0.000028530358,0.00007530166,0.00015002461,0.0000073656997],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005693629,0.00002617444,0.0006058301,0.000010108007,0.000012888397,1.1722836e-7,0.000587299,0.00016554004,0.9971073,0.000778515,0.0003954129,0.00030507398],"study_design_scores_gemma":[0.000045870198,0.00013842227,0.026716076,0.000061517036,0.0000141850605,0.0000011087674,0.0013649762,0.0001606849,0.97111243,0.00013223317,0.0001670663,0.000085432985],"about_ca_topic_score_codex":0.0002123664,"about_ca_topic_score_gemma":0.000037095968,"teacher_disagreement_score":0.026110247,"about_ca_system_score_codex":0.0000066276525,"about_ca_system_score_gemma":0.000005812528,"threshold_uncertainty_score":0.08634093},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.015615149451082534,"score_gpt":0.19190295076228636,"score_spread":0.17628780131120383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097382449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966643,0.00003728571,0.000014689511,0.001920518,0.00015413025,0.0002544558,0.00016772091,0.00006663056,0.0007203],"genre_scores_gemma":[0.9990353,0.000016346721,0.000028423035,0.00038795735,0.0003369755,0.000005484147,0.00014354936,0.0000011755918,0.00004481681],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989917,0.00007782586,0.00021530503,0.00034948855,0.000153775,0.00021190046],"domain_scores_gemma":[0.99946594,0.00014922926,0.0001750492,0.000038685583,0.000048093738,0.00012302521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011627495,0.00021398137,0.00030581362,0.000009170501,0.00018925438,0.00013416422,0.00017734393,0.00011632564,0.00006493795],"category_scores_gemma":[0.000027717011,0.00007389957,0.00007254198,0.00012902085,0.000047047888,0.00027199666,0.000092368726,0.00017515472,0.000027693133],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043336506,0.0000316633,0.0021843854,0.000078066194,0.000043790875,0.000025075278,0.00040361471,0.0000066334073,0.99170095,0.00003799859,0.0047792606,0.0002752012],"study_design_scores_gemma":[0.00095866877,0.007680895,0.09480413,0.0012657393,0.00018382583,0.00023581408,0.003710191,0.00007757285,0.8825564,0.000005260557,0.0075521744,0.0009693523],"about_ca_topic_score_codex":0.0006685754,"about_ca_topic_score_gemma":0.00021241567,"teacher_disagreement_score":0.10914457,"about_ca_system_score_codex":0.000025651563,"about_ca_system_score_gemma":0.0000031539278,"threshold_uncertainty_score":0.30135372},"labels":[],"label_agreement":null},{"id":"W3101186338","doi":"10.3390/agriculture10110539","title":"Performance and Establishment of a Commercial Mycorrhizal Inoculant in Viticulture","year":2020,"lang":"en","type":"article","venue":"Agriculture","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa; University of British Columbia; Agriculture and Agri-Food Canada; Okanagan University College; University of British Columbia, Okanagan Campus","funders":"Agriculture and Agri-Food Canada","keywords":"Microbial inoculant; Rootstock; Biology; Greenhouse; Viticulture; Agronomy; Arbuscular mycorrhizal; Inoculation; Biomass (ecology); Horticulture; Symbiosis; Wine","score_opus":0.009577409243340789,"score_gpt":0.180503212602293,"score_spread":0.1709258033589522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3101186338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99336666,0.00027653188,4.8063134e-7,0.0030605218,0.00006545236,0.00017146174,0.00043130267,0.000024420919,0.0026031777],"genre_scores_gemma":[0.99781424,0.0007050421,0.000049968854,0.0006297152,0.00019460516,0.000009382626,0.0005518215,4.932936e-7,0.000044727047],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928826,0.000034232868,0.00019087091,0.00019095944,0.000130072,0.00016560152],"domain_scores_gemma":[0.9995594,0.00020115322,0.0000621104,0.000022637483,0.000049051196,0.00010565826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004585658,0.00012298179,0.0001843136,0.000006696629,0.00006186755,0.000025779671,0.00012106511,0.00009684047,0.0005628494],"category_scores_gemma":[0.00006194576,0.000040339273,0.00004442198,0.00033573146,0.000006454534,0.0001418696,0.000053991538,0.00018833976,0.00003659125],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013651274,0.00013642048,0.5646727,0.00006569115,0.000016298942,0.000017489454,0.0012749174,0.0000397907,0.3733046,0.00069905893,0.04757207,0.012064426],"study_design_scores_gemma":[0.00016970254,0.0005048819,0.85808426,0.00016731574,0.00002646956,0.00007326815,0.0012337591,0.00041300192,0.008145939,0.00003874706,0.13080518,0.00033744954],"about_ca_topic_score_codex":0.000415094,"about_ca_topic_score_gemma":0.00025854254,"teacher_disagreement_score":0.36515865,"about_ca_system_score_codex":0.000008541673,"about_ca_system_score_gemma":0.0000036126403,"threshold_uncertainty_score":0.6162807},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.07199496571050383,"score_gpt":0.262285279653132,"score_spread":0.19029031394262813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108988919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99228287,0.0038535,0.0010722029,0.0020285617,0.000106919004,0.00018281338,0.00025248827,0.000010099119,0.00021054075],"genre_scores_gemma":[0.99865794,0.00042512474,0.00017142973,0.00053800765,0.00014351349,0.000004732972,0.000010253262,0.0000071242634,0.000041850064],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990985,0.000011746759,0.0004215623,0.00028266583,0.000044791297,0.00014075411],"domain_scores_gemma":[0.9992366,0.0001406323,0.00036907708,0.00014502415,0.000045465513,0.0000632275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000119208875,0.00013085759,0.00036988288,0.000026162488,0.000100828736,0.000045409754,0.00038887435,0.000092428796,0.00005537346],"category_scores_gemma":[0.00020891165,0.00008385238,0.00007670149,0.00032747714,0.000052020805,0.00021476577,0.0002634853,0.000112042086,0.000008017068],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007685063,0.00003561755,0.92643607,0.00007508166,0.000048266185,0.0000033477538,0.03478019,0.000031630436,0.024308253,0.0019540489,0.009317905,0.0029327506],"study_design_scores_gemma":[0.00019905808,0.00018425808,0.9591681,0.00015509181,0.000014487783,4.6050812e-7,0.0023656688,0.00002656766,0.015668599,0.00036492423,0.021644762,0.00020806088],"about_ca_topic_score_codex":0.0010095054,"about_ca_topic_score_gemma":0.0000991769,"teacher_disagreement_score":0.032732002,"about_ca_system_score_codex":0.000013355108,"about_ca_system_score_gemma":0.000009787479,"threshold_uncertainty_score":0.34194008},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.006670597797954805,"score_gpt":0.1919852272178894,"score_spread":0.1853146294199346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111179293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99363613,0.0003713375,0.00015990758,0.0046322374,0.00014003672,0.0002761905,0.0005695753,0.00008477466,0.00012978558],"genre_scores_gemma":[0.99929184,0.000014539334,0.00025344593,0.0001506937,0.00007540479,0.000008731657,0.00017967702,0.0000075178586,0.00001818044],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99925023,0.00003658816,0.00013557292,0.00024699382,0.00018799551,0.00014259125],"domain_scores_gemma":[0.99956447,0.000009214966,0.000088416644,0.00007726344,0.000019609872,0.00024103359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000027426542,0.00011927008,0.00013440121,0.00001339169,0.000070288355,0.0000321195,0.00012346872,0.0000528554,0.000056870722],"category_scores_gemma":[0.000023499855,0.000073411655,0.00003080394,0.00011264529,0.000027158861,0.00015720345,0.0000813705,0.000063010346,0.000010397277],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028457722,0.000043539254,0.00025457796,0.00007967617,0.0000039335146,0.000004591363,0.0003579638,3.8630347e-7,0.990419,0.0013745085,0.007411787,0.000021632626],"study_design_scores_gemma":[0.00020604808,0.000094613184,0.0009672114,0.000057347803,0.000025750434,0.0000056379236,0.000043293767,0.000027664224,0.9980195,0.0002558411,0.00018192614,0.00011514814],"about_ca_topic_score_codex":0.000018769431,"about_ca_topic_score_gemma":4.634769e-7,"teacher_disagreement_score":0.007600572,"about_ca_system_score_codex":0.0000034102877,"about_ca_system_score_gemma":0.000009785933,"threshold_uncertainty_score":0.29936406},"labels":[],"label_agreement":null},{"id":"W3118520831","doi":"10.3390/agriculture11010029","title":"Decision Trees to Forecast Risks of Strawberry Powdery Mildew Caused by Podosphaera aphanis","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Powdery Mildew Fungal Diseases","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Powdery mildew; Fungicide; Relative humidity; Horticulture; Biology; Agronomy; Toxicology; Statistics; Environmental science; Meteorology; Mathematics; Geography","score_opus":0.03145594244171576,"score_gpt":0.26031590027330476,"score_spread":0.228859957831589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118520831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931286,0.002876049,0.000015270487,0.0016691434,0.00018842363,0.00026751714,0.0011295751,0.00008130563,0.00064413465],"genre_scores_gemma":[0.99661565,0.00016940036,0.00030721715,0.00095810235,0.00020690575,0.000021660424,0.0005626024,0.0000024368226,0.0011560376],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981272,0.000089151385,0.00035645676,0.0005334436,0.0004700994,0.00042363637],"domain_scores_gemma":[0.9988538,0.00028212543,0.000117517586,0.00012561063,0.00027363066,0.00034729537],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008597958,0.0002825139,0.00035772324,0.000011985597,0.00018046836,0.00007763777,0.00036401622,0.00020415439,0.0009635758],"category_scores_gemma":[0.00018795379,0.000100694706,0.0002503665,0.00088612916,0.000038215767,0.00017809015,0.000154993,0.0001500956,0.000075799115],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034278328,0.00029704088,0.0083143115,0.000009562658,0.0000393523,0.000034127836,0.00006428166,0.000016605078,0.8029246,0.000048499965,0.15820585,0.030011501],"study_design_scores_gemma":[0.000283758,0.0002606721,0.75865585,0.00013878217,0.000063986445,0.000021842108,0.0007710824,0.0000034156546,0.16823478,0.0003466961,0.07077965,0.00043950326],"about_ca_topic_score_codex":0.00035804347,"about_ca_topic_score_gemma":0.0032984838,"teacher_disagreement_score":0.75034153,"about_ca_system_score_codex":0.00003238812,"about_ca_system_score_gemma":0.00002125383,"threshold_uncertainty_score":0.9999497},"labels":[],"label_agreement":null},{"id":"W3124369810","doi":"10.3390/agriculture11020101","title":"The Role of Engineering Thermodynamics in Explaining the Inverse Correlation between Surface Temperature and Supplied Nitrogen Rate in Corn Plants: A Greenhouse Case Study","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; University of Waterloo","funders":"","keywords":"Nitrogen; Greenhouse; Environmental science; Inverse temperature; Agronomy; Chemistry; Biology; Thermodynamics","score_opus":0.006693032086986241,"score_gpt":0.18200018127361794,"score_spread":0.1753071491866317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124369810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985039,0.00061365595,2.3134074e-7,0.0004178522,0.000024167417,0.00034870053,0.000034882785,0.00003820232,0.000018362865],"genre_scores_gemma":[0.99977595,0.00010348976,0.000005195654,0.000022905846,0.000026399148,0.000019234536,0.00003405514,0.0000014492965,0.000011353665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991437,0.00014330432,0.0002197697,0.00020333623,0.00008546328,0.00020442824],"domain_scores_gemma":[0.99923426,0.00054507353,0.00007904053,0.00007556933,0.000039318682,0.000026756532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031717285,0.0001384091,0.00018763212,0.000008348944,0.00018623767,0.000037743957,0.00013389059,0.00018123563,0.0000044179637],"category_scores_gemma":[0.00005591263,0.000041414194,0.000031524378,0.0003557193,0.000036601235,0.000069053065,0.00008376167,0.00038856547,0.0000010759327],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003049989,0.000090338166,0.8422365,0.0000048407182,0.000044687175,0.00045212512,0.002453626,0.0005711635,0.15151288,0.00013734243,0.00002163966,0.0024443313],"study_design_scores_gemma":[0.0007098166,0.00012658405,0.88443166,0.000043082793,0.000037477173,0.00026597845,0.10924851,0.0021363723,0.0022686059,0.0003396039,0.0001763227,0.00021600156],"about_ca_topic_score_codex":0.0004710291,"about_ca_topic_score_gemma":0.0474889,"teacher_disagreement_score":0.14924428,"about_ca_system_score_codex":0.000018396202,"about_ca_system_score_gemma":0.000006435693,"threshold_uncertainty_score":0.96989197},"labels":[],"label_agreement":null},{"id":"W3134057599","doi":"10.3390/agriculture11030205","title":"Growth Responses and Accumulation Characteristics of Three Ornamental Plants to Sn Contamination in Soil","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Impatiens; Ornamental plant; Tagetes; Phytoremediation; Hyperaccumulator; Botany; Bioconcentration; Biology; Balsaminaceae; Horticulture; Contamination; Cultivar; Ecology","score_opus":0.017225755121730385,"score_gpt":0.2424000504200691,"score_spread":0.2251742952983387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134057599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988007,0.000026721296,0.00014528791,0.00037762715,0.00005270005,0.0001450352,0.000028006689,0.0000063848875,0.00041755813],"genre_scores_gemma":[0.99897754,0.00004117904,0.00056654704,0.00013898792,0.000018888433,0.000010238178,0.00003926531,0.000004192375,0.00020316687],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992295,0.000061461695,0.00017999971,0.00019631934,0.00021728301,0.00011542984],"domain_scores_gemma":[0.99973714,0.00005485278,0.00005794832,0.00009048451,0.0000061789588,0.000053393163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014568222,0.00008431447,0.00012086785,0.000017703704,0.000030278065,0.000011336388,0.000060241196,0.00006354922,0.00019178969],"category_scores_gemma":[0.00011318315,0.00006554265,0.000015521933,0.00012768822,0.00003596333,0.00011505742,0.00012223961,0.000067064815,0.00004203009],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032626118,0.00010672758,0.6839481,0.000009363762,0.000005327606,0.000022467184,0.00067459844,0.00010659246,0.30795223,0.00006595612,0.00027511592,0.0068009137],"study_design_scores_gemma":[0.0001798837,0.000033402575,0.9503835,0.000023483597,0.000005103611,0.000011796854,0.00014958541,0.000049061156,0.048443694,0.00010185078,0.0005351619,0.000083467115],"about_ca_topic_score_codex":0.000101446225,"about_ca_topic_score_gemma":0.000654633,"teacher_disagreement_score":0.26643544,"about_ca_system_score_codex":0.00012150916,"about_ca_system_score_gemma":0.000004230956,"threshold_uncertainty_score":0.26727515},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.03760422077614775,"score_gpt":0.2857898064221848,"score_spread":0.24818558564603707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134493643","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99535257,0.0023209658,7.350949e-7,0.0011456246,0.000025120065,0.00006863258,0.00011841173,0.000021303029,0.0009466482],"genre_scores_gemma":[0.99830043,0.0008620152,0.000034680936,0.000045090106,0.00016011413,0.000005617643,0.0003631953,5.262519e-7,0.0002283274],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855584,0.00015163653,0.00020447615,0.00031708594,0.00051107473,0.00025988268],"domain_scores_gemma":[0.9988716,0.0004226842,0.0000627618,0.000068936075,0.0004299414,0.00014403168],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00036850732,0.00010472229,0.00029671963,0.0018125775,0.0001313915,0.00006706191,0.00016201436,0.00015122043,0.00015970797],"category_scores_gemma":[0.0001635282,0.000034966168,0.00016877872,0.2008539,0.000064828004,0.000053284002,0.00015455578,0.0002022753,0.0000057901116],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001252294,0.00019170114,0.78905326,0.000021214391,0.0007558194,0.00004673425,0.00014388854,0.00001526096,0.16386595,0.0007646965,0.0046887207,0.040440213],"study_design_scores_gemma":[0.0000714465,0.0000740062,0.98777527,0.0000071886393,0.00021896738,0.000005267199,0.0005236054,0.00009715077,0.008496616,0.00021957135,0.002405795,0.00010509002],"about_ca_topic_score_codex":0.0008817819,"about_ca_topic_score_gemma":0.002189016,"teacher_disagreement_score":0.19904132,"about_ca_system_score_codex":0.000018772991,"about_ca_system_score_gemma":0.0000098577275,"threshold_uncertainty_score":0.8161323},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.06788783466874743,"score_gpt":0.32419537244992963,"score_spread":0.2563075377811822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134850521","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000004424944,0.99597293,0.0000124044045,0.00005594182,0.0011479126,0.00066487613,0.00008587187,0.00018000025,0.0018756472],"genre_scores_gemma":[0.000043983466,0.99832505,0.000009580826,0.000010410499,0.00024544002,0.0003635832,0.0002315032,0.00003680084,0.00073365285],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983375,0.00013610297,0.0007221124,0.0003458759,0.00016922862,0.00028915054],"domain_scores_gemma":[0.9992561,0.00015719848,0.00010626786,0.0003331718,0.00009156496,0.000055740424],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013261821,0.0004815179,0.0021316456,0.000074273354,0.000059667596,0.000075067655,0.00019276887,0.00018947535,0.000052417752],"category_scores_gemma":[0.000107771266,0.00030218437,0.0005326433,0.0008026432,0.0000126320565,0.00011396477,0.00007645385,0.00078712543,0.0001899233],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.0524788e-7,0.00006240567,0.00007620649,0.4535284,0.0006643963,0.00011425609,0.00016600723,0.0005550237,8.071934e-7,0.00013512012,0.38805565,0.15664142],"study_design_scores_gemma":[0.000033754404,0.0000024363048,0.000047828136,0.1446916,0.00039840877,0.00006511337,0.000034148743,0.0000056065005,9.215141e-8,2.7070476e-7,0.85440236,0.0003183731],"about_ca_topic_score_codex":0.00006343587,"about_ca_topic_score_gemma":0.009893213,"teacher_disagreement_score":0.4663467,"about_ca_system_score_codex":0.00028993792,"about_ca_system_score_gemma":0.000039261726,"threshold_uncertainty_score":0.999943},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.02469780315997231,"score_gpt":0.23091745730675892,"score_spread":0.2062196541467866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137918130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865668,0.00054085214,4.0486483e-7,0.0035270152,0.00001157883,0.00035573935,0.000019601724,0.000021699327,0.008956353],"genre_scores_gemma":[0.999288,0.00003079754,0.000012727446,0.00012779112,0.000044368633,0.000056072095,0.000017000857,6.708254e-7,0.00042256407],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99929327,0.000112347625,0.00016343988,0.0001657773,0.00010532896,0.00015984733],"domain_scores_gemma":[0.9995051,0.00022600172,0.00005718306,0.000102022226,0.000058168247,0.000051505336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018806838,0.000118573946,0.00018124626,0.0000079797965,0.00029509273,0.00007360258,0.00014029497,0.0000814112,0.000043655116],"category_scores_gemma":[0.000011373627,0.000033407257,0.00005872139,0.00030931167,0.00004016463,0.000045892466,0.000109922126,0.00020947563,0.00000325551],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057008572,0.00011507515,0.0030107726,0.000053649994,0.000054457414,0.000010280998,0.000371902,0.000014969585,0.9833201,0.0081038475,0.0022046438,0.0026832905],"study_design_scores_gemma":[0.00026978875,0.000104946506,0.99277866,0.00018021624,0.0000213866,0.000016206095,0.0037732942,0.0000104432565,0.001844999,0.00020564462,0.0006951463,0.000099254976],"about_ca_topic_score_codex":0.015229151,"about_ca_topic_score_gemma":0.009755617,"teacher_disagreement_score":0.9897679,"about_ca_system_score_codex":0.000029816161,"about_ca_system_score_gemma":0.0000042219904,"threshold_uncertainty_score":0.99132854},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.011473584736846133,"score_gpt":0.2080628450633406,"score_spread":0.19658926032649449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155695487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974397,0.0005596456,1.5738078e-7,0.00046262282,0.000061421895,0.00020915802,0.000009909392,0.000022800572,0.0012345861],"genre_scores_gemma":[0.9989421,0.0006283923,0.000016558197,0.00008683136,0.000045460292,0.000021354053,0.00017088297,0.0000012126198,0.00008724385],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990463,0.00008490612,0.00020428209,0.00028903442,0.00017286402,0.00020259531],"domain_scores_gemma":[0.99973476,0.000033968186,0.000056077042,0.00004949483,0.000073566596,0.0000521477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000101124395,0.0001536946,0.00020006057,0.000027280868,0.000020848543,0.000029873348,0.000090819354,0.0001658323,0.000011121365],"category_scores_gemma":[0.000010469658,0.000063202795,0.0000289878,0.0009214719,0.000024013709,0.000037425405,0.00006609725,0.00016969445,3.2890023e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024969564,0.00023405146,0.10654777,0.00004853304,0.000034492554,0.00011995116,0.00037779313,0.000014152652,0.8875304,0.0008312197,0.000013076662,0.004223605],"study_design_scores_gemma":[0.00018866938,0.000067022214,0.96426743,0.00007136145,0.00001987444,0.000013323048,0.0024856476,0.0002207314,0.032234404,0.0002542195,0.000016102498,0.00016122618],"about_ca_topic_score_codex":0.0008059183,"about_ca_topic_score_gemma":0.021513559,"teacher_disagreement_score":0.85771966,"about_ca_system_score_codex":0.00008170616,"about_ca_system_score_gemma":0.000009426052,"threshold_uncertainty_score":0.9963413},"labels":[],"label_agreement":null},{"id":"W3159079384","doi":"10.3390/agriculture11050402","title":"Successful Indoor Mass Storage of Honeybee Queens (Apis mellifera) during Winter","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Centre de Recherche en Sciences Animales de Deschambault","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Queen (butterfly); Fecundity; Overwintering; Population; Zoology; Fertility; Ecology; Sperm; Toxicology; Hymenoptera; Botany; Demography","score_opus":0.004019882682284254,"score_gpt":0.20703379976136307,"score_spread":0.20301391707907882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159079384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99851805,0.0005370299,0.000046831177,0.0002221798,0.00021427021,0.0000731541,0.000031058553,0.000010740714,0.00034665863],"genre_scores_gemma":[0.993752,0.00011098608,0.00016564914,0.00015408268,0.0002909149,0.000011807102,0.0002169119,0.0000086185755,0.0052890363],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99929464,0.00004453345,0.00015357879,0.00024119475,0.00007595768,0.00019009609],"domain_scores_gemma":[0.999564,0.0000045903907,0.000067189896,0.00017708597,0.00013896736,0.00004819987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000041551502,0.00013006394,0.00015385436,0.0000149649995,0.0000836501,0.000011495408,0.000118699674,0.00026114032,0.00019869862],"category_scores_gemma":[0.000018960971,0.00009478982,0.00012270438,0.0000905704,0.00004063533,0.000005165388,0.00006934216,0.00013598811,0.000015158962],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028731685,0.00008684835,0.037615575,0.000027472246,0.00004600282,0.000052129086,0.000065901106,0.000010333837,0.9591614,0.000020778964,0.0028339573,0.00005086531],"study_design_scores_gemma":[0.00033708368,0.00006454204,0.050408304,0.000014032892,0.00003196384,0.000050462913,0.00021247233,4.2362086e-7,0.9472727,0.000010302253,0.0014529189,0.00014480275],"about_ca_topic_score_codex":0.0000065207373,"about_ca_topic_score_gemma":0.000093620954,"teacher_disagreement_score":0.012792727,"about_ca_system_score_codex":0.000007724122,"about_ca_system_score_gemma":0.00003233753,"threshold_uncertainty_score":0.38654166},"labels":[],"label_agreement":null},{"id":"W3163170253","doi":"10.3390/agriculture11050451","title":"Classification of Grain Storage Inventory Modes Based on Temperature Contour Map of Grain Bulk Using Back Propagation Neural Network","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Artificial neural network; Feature vector; Computer science; Vector map; Artificial intelligence; Pattern recognition (psychology); Support vector machine; Feature (linguistics); Smoothness; Inventory management; Texture (cosmology); Engineering; Mathematics; Image (mathematics); Operations management","score_opus":0.01402304228999607,"score_gpt":0.2223101238434625,"score_spread":0.20828708155346642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163170253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9552431,0.0015457752,0.039425142,0.0010448473,0.0004703621,0.0009841686,0.00020580755,0.0002188247,0.0008619734],"genre_scores_gemma":[0.9929929,0.000009550695,0.00619947,0.000040022398,0.00021680797,0.000023665501,0.00028291834,0.000016487478,0.00021818095],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993019,0.000034808367,0.00021922188,0.0001626847,0.00014655513,0.00013483645],"domain_scores_gemma":[0.99948424,0.000020349204,0.000096763266,0.00018430945,0.00017225542,0.00004209943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053984677,0.00013566957,0.00016900839,0.00002312597,0.000053948028,0.000013448956,0.00007575077,0.00012111698,0.000017837296],"category_scores_gemma":[0.000011659866,0.00010532825,0.000068614885,0.00030452778,0.00002406902,0.00008881947,0.000009518609,0.00017491823,0.0000024824456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028966017,0.000034019322,0.00006514552,0.00009150736,0.000010200025,9.523944e-7,0.000046438337,0.6017644,0.39359996,0.0011880312,0.002965447,0.00023100949],"study_design_scores_gemma":[0.00038068756,0.000031594733,0.0060059703,0.00024788626,0.000029236953,0.000003333522,0.00028919076,0.9385365,0.051481858,0.0003717805,0.0023849222,0.00023703581],"about_ca_topic_score_codex":0.0000058559413,"about_ca_topic_score_gemma":0.000016642382,"teacher_disagreement_score":0.34211808,"about_ca_system_score_codex":0.00005184861,"about_ca_system_score_gemma":0.000021421834,"threshold_uncertainty_score":0.4295161},"labels":[],"label_agreement":null},{"id":"W3163655906","doi":"10.3390/agriculture11050427","title":"Landscape Integrated Soil and Water Conservation (LISWC) System for Sloping Landscapes in Atlantic Canada","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Environmental science; Soil conservation; Tile drainage; Tillage; Surface runoff; Hydrology (agriculture); Water resource management; Agroforestry; Agriculture; Soil water; Geology; Geography; Soil science; Ecology","score_opus":0.008400292637900179,"score_gpt":0.1673309752430026,"score_spread":0.15893068260510243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163655906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949826,0.00021823353,0.000001918726,0.004218262,0.00014246548,0.00014130058,0.000032364365,0.000035967405,0.00022688422],"genre_scores_gemma":[0.9978317,0.000033226108,0.00001670753,0.00044916337,0.00008836346,0.000023347302,0.001318999,6.5543884e-7,0.00023782121],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992954,0.000028458557,0.00016261768,0.00020972257,0.000112474096,0.00019130434],"domain_scores_gemma":[0.9997269,0.00006519876,0.000025055422,0.000023843191,0.00010468044,0.000054305332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007356771,0.00010799074,0.0001560935,0.000005108969,0.000102773956,0.000046167457,0.000057728095,0.00008700693,0.000061447274],"category_scores_gemma":[0.0000113974465,0.000031258205,0.000031528103,0.00016445952,0.0000058014148,0.000054601092,0.000012631784,0.00007276014,0.0000015134904],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000766852,0.0000836384,0.46205497,0.00021958603,0.000040581548,0.00010777548,0.0003849667,0.000043738517,0.5035869,0.00057982275,0.028716512,0.0041048517],"study_design_scores_gemma":[0.0010717987,0.0000793541,0.8108217,0.0003552153,0.000041654235,0.00006745749,0.00832993,0.0006236243,0.06439822,0.000026520747,0.11371403,0.00047044887],"about_ca_topic_score_codex":0.10116459,"about_ca_topic_score_gemma":0.8728449,"teacher_disagreement_score":0.77168024,"about_ca_system_score_codex":0.000026223302,"about_ca_system_score_gemma":0.000024462692,"threshold_uncertainty_score":0.90482086},"labels":[],"label_agreement":null},{"id":"W3166030879","doi":"10.3390/agriculture11060535","title":"Genetic Progress Achieved during 10 Years of Selective Breeding for Honeybee Traits of Interest to the Beekeeping Industry","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre de Développement du Porc du Québec; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada","keywords":"Beekeeping; Biology; Brood; Selection (genetic algorithm); Biotechnology; Productivity; Genetic gain; Breeding program; Ecology; Genetic variation; Computer science; Agronomy; Genetics; Economic growth","score_opus":0.04642590369101445,"score_gpt":0.2690804229029404,"score_spread":0.22265451921192592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166030879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979906,0.0003081165,0.0000020057573,0.0011565897,0.000041479616,0.0003271739,0.000056276527,0.000012072818,0.0001056787],"genre_scores_gemma":[0.99914247,0.000010941404,0.00017694755,0.000033345998,0.00034983494,0.00003809807,0.000016736152,0.0000010978879,0.00023053176],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991695,0.00005750052,0.00017959604,0.0001926578,0.00015434778,0.00024634137],"domain_scores_gemma":[0.99929637,0.00017803331,0.000076011966,0.00003600033,0.0003476848,0.00006591266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012169248,0.00008573297,0.00016598689,0.000009806488,0.00011569043,0.000029962688,0.00024294703,0.00016745062,0.00007351327],"category_scores_gemma":[0.00015441114,0.000031183223,0.00009506341,0.00062543317,0.000040579896,0.000039091778,0.000095039155,0.00023500274,0.0000029635783],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046191693,0.0000586962,0.0036192767,0.000041058607,0.0000340059,0.000004401146,0.0005481869,0.000021741547,0.9473071,0.0000777338,0.0006662148,0.047575362],"study_design_scores_gemma":[0.000110778274,0.0002886177,0.86662936,0.00009967189,0.000015256103,0.00001610874,0.00082188525,0.000005090091,0.13054933,0.000057164383,0.0013140952,0.00009261924],"about_ca_topic_score_codex":0.000052499112,"about_ca_topic_score_gemma":0.0007434003,"teacher_disagreement_score":0.8630101,"about_ca_system_score_codex":0.000016232221,"about_ca_system_score_gemma":0.0000172779,"threshold_uncertainty_score":0.12915325},"labels":[],"label_agreement":null},{"id":"W3169436945","doi":"10.3390/agriculture11060550","title":"Recent Patterns of Exposure, Sensitivity, and Adaptive Capacity of Selected Crops in Cameroon","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Adaptive capacity; Vulnerability (computing); Climate change; Geography; Precipitation; Crop; Poverty; Growing season; Scale (ratio); Agronomy; Environmental science; Agroforestry; Biology; Ecology; Forestry; Meteorology; Economic growth; Economics","score_opus":0.03461187824663286,"score_gpt":0.21594952592748787,"score_spread":0.181337647680855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169436945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973424,0.00081082893,5.1262157e-7,0.0009722775,0.0000513067,0.00019839432,0.00043633828,0.000023601615,0.00016435308],"genre_scores_gemma":[0.99818337,0.0013158724,0.000063624044,0.00008363643,0.00008083752,0.000005567568,0.00020736667,0.0000010534054,0.00005864836],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986393,0.00021595055,0.0003029685,0.000321342,0.00025092758,0.00026952068],"domain_scores_gemma":[0.99881065,0.0001860565,0.00019948844,0.00005987001,0.00064290914,0.00010103851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015052009,0.00019793071,0.0003908231,0.000013077667,0.000044189266,0.000019631625,0.00008163926,0.00021250061,0.00013101974],"category_scores_gemma":[0.00016669417,0.00006829906,0.000063757114,0.0009671302,0.00004543801,0.000111905225,0.00010046135,0.00022003747,0.0000014338891],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022045586,0.00021949313,0.12245476,0.000028584944,0.000018819559,0.000029165445,0.00053852773,0.000005187387,0.86891496,0.000049099686,0.0004283469,0.007291016],"study_design_scores_gemma":[0.00019061894,0.0001703555,0.8245416,0.00011535666,0.000015847261,0.00006245075,0.002443518,0.0000030148422,0.17163138,0.000023814191,0.0006479441,0.00015406133],"about_ca_topic_score_codex":0.0014783742,"about_ca_topic_score_gemma":0.054657675,"teacher_disagreement_score":0.70208687,"about_ca_system_score_codex":0.00003798879,"about_ca_system_score_gemma":0.000010682093,"threshold_uncertainty_score":0.96259236},"labels":[],"label_agreement":null},{"id":"W3193215967","doi":"10.3390/agriculture11080739","title":"Assessment of Different Water Use Efficiency Calculations for Dominant Forage Crops in the Great Lakes Basin","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Water-use efficiency; Transpiration; Environmental science; Evapotranspiration; Water use; Biomass (ecology); Agronomy; Primary production; Atmospheric sciences; Photosynthesis; Ecology; Biology; Irrigation; Ecosystem; Botany","score_opus":0.007607707442653737,"score_gpt":0.21651295337922347,"score_spread":0.20890524593656973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193215967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99655485,0.0000090601025,0.0017145383,0.0005115901,0.00004458596,0.0002600691,0.00006358024,0.000004674855,0.00083703117],"genre_scores_gemma":[0.99805194,0.000010597111,0.0004918081,0.000060752398,0.000010062013,0.000041505144,0.00021044347,0.000003077612,0.0011197897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993184,0.00005008948,0.00015409717,0.00015487168,0.00016692643,0.0001555948],"domain_scores_gemma":[0.99973285,0.000059447808,0.000030882904,0.00014257063,0.00001345872,0.00002078804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009266373,0.00008759536,0.00010680081,0.000011379057,0.00008823843,0.000037191217,0.00010980334,0.000053229676,0.00008333251],"category_scores_gemma":[0.000009727077,0.000035607463,0.000071461625,0.00013087726,0.000031652078,0.00009009092,0.000052751002,0.000075901764,0.0000034426876],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011046871,0.00093672785,0.54819536,0.0000406254,0.000034095854,0.000058041474,0.003142117,0.06100518,0.37667546,0.0072768396,0.001919074,0.0007054447],"study_design_scores_gemma":[0.00033064475,0.00003253258,0.9740169,0.000018495417,0.000033998873,0.000023607077,0.00015542659,0.0118069155,0.007743709,0.0003176349,0.0053974898,0.0001226282],"about_ca_topic_score_codex":0.0001271968,"about_ca_topic_score_gemma":0.0018070532,"teacher_disagreement_score":0.42582154,"about_ca_system_score_codex":0.000050561393,"about_ca_system_score_gemma":0.000004082771,"threshold_uncertainty_score":0.14520301},"labels":[],"label_agreement":null},{"id":"W3193941014","doi":"10.3390/agriculture11080799","title":"Global Wheat Market Dynamics: What Is the Role of the EU and the Black Sea Wheat Exporters?","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; European Commission","keywords":"Cointegration; Black sea; Economics; Futures contract; Price formation; Error correction model; Production (economics); International economics; World market; International trade; Agricultural economics; Monetary economics; Financial economics; Macroeconomics","score_opus":0.004813453372746335,"score_gpt":0.1738556395626851,"score_spread":0.16904218618993877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193941014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7457765,0.029291375,0.000097550546,0.06016004,0.00084879104,0.0008152225,0.0012295613,0.000025139849,0.16175587],"genre_scores_gemma":[0.9920392,0.0031242042,0.00003079979,0.0014348169,0.00008201657,0.000014070474,0.00002529133,0.000007740248,0.0032418664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884766,0.00008694105,0.00040165934,0.00036098735,0.00007719989,0.00022555092],"domain_scores_gemma":[0.9988899,0.00010984855,0.00024413769,0.000622539,0.000084563384,0.00004896755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055980176,0.00017946423,0.0003291483,0.000010439195,0.00020433596,0.00025205791,0.00039367474,0.00013850775,0.00037812232],"category_scores_gemma":[0.00006366468,0.00008252511,0.00023991695,0.00034936864,0.0002418062,0.00020947971,0.00025158742,0.00019576242,0.0000072949097],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010676205,0.00014719412,0.6659056,0.000097072916,0.00037554096,0.000004021852,0.0026825634,0.000017602275,0.000016677628,0.27741033,0.044069175,0.009167466],"study_design_scores_gemma":[0.001261566,0.000023698067,0.5956348,0.000089756206,0.00007618621,0.000045322715,0.008592399,0.11403111,0.000046133835,0.12993786,0.14986101,0.00040014953],"about_ca_topic_score_codex":0.00035503748,"about_ca_topic_score_gemma":0.0013004349,"teacher_disagreement_score":0.24626274,"about_ca_system_score_codex":0.00007718539,"about_ca_system_score_gemma":0.000019950672,"threshold_uncertainty_score":0.41401744},"labels":[],"label_agreement":null},{"id":"W3195676853","doi":"10.3390/agriculture11090807","title":"Social Learning and Paulo Freire Concepts for Understanding Food Security Cases in Brazil","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Food security; Solidarity; Sociology; Food sovereignty; Food systems; Public relations; Economic growth; Political science; Agriculture; Politics; Economics; Geography; Law","score_opus":0.19787459558651627,"score_gpt":0.4727436212609443,"score_spread":0.27486902567442806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195676853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9800309,0.0016884415,0.00009972909,0.012285863,0.00046686415,0.0009554173,0.00020175811,0.000113749775,0.0041572903],"genre_scores_gemma":[0.99797374,0.00011183903,0.00011471708,0.00064452086,0.00040103096,0.000079683516,0.00019960199,0.000009366701,0.00046547683],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9986396,0.0003017966,0.00029067555,0.00025147395,0.00012215387,0.0003942943],"domain_scores_gemma":[0.99903494,0.0005554249,0.0001212783,0.00005194096,0.00014333062,0.000093074144],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00022369115,0.00012008223,0.00023021191,0.00003560029,0.0018914735,0.000018007431,0.000046165067,0.00033822935,0.00012781781],"category_scores_gemma":[0.00037469136,0.000101361904,0.000051840736,0.0002540013,0.00003710175,0.00012234048,0.00007614498,0.0007301695,0.000008272585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013419206,0.00020500111,0.12676346,0.0022286708,0.00010995926,0.0000865286,0.14936876,0.000023994997,0.00021601106,0.6096514,0.11089753,0.00031446773],"study_design_scores_gemma":[0.00578102,0.0005660833,0.08509625,0.00091557275,0.00012676901,0.00004204732,0.57885826,0.00018481964,0.000062768966,0.12616439,0.20140666,0.0007953516],"about_ca_topic_score_codex":0.000113517504,"about_ca_topic_score_gemma":0.014260876,"teacher_disagreement_score":0.483487,"about_ca_system_score_codex":0.00020180727,"about_ca_system_score_gemma":0.00015126127,"threshold_uncertainty_score":0.99940795},"labels":[],"label_agreement":null},{"id":"W3196504266","doi":"10.3390/agriculture11090824","title":"The Yield, Fruit Quality and Some of Nutraceutical Characteristics of Saskatoon Berries (Amelanchier alnifolia Nutt.) in the Conditions of Eastern Poland","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Berry; Cultivar; Yield (engineering); Horticulture; Nutraceutical; Biology; Polyphenol; Botany; Antioxidant; Food science","score_opus":0.02512595772623196,"score_gpt":0.2942560242362095,"score_spread":0.26913006650997756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196504266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99502325,0.001152591,0.000002111312,0.0030356797,0.000031486627,0.00011719401,0.0001807661,0.0000031018692,0.0004538248],"genre_scores_gemma":[0.9992245,0.00027239916,0.000017850249,0.00013285581,0.00011342681,0.000005761604,0.00003751242,0.0000028168865,0.00019288217],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999293,0.00005517626,0.00028468468,0.00009276199,0.00017092867,0.00010340331],"domain_scores_gemma":[0.999266,0.0003219741,0.00013625358,0.00014478585,0.00010340149,0.000027569398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012505522,0.000080498154,0.00029016242,0.000011376483,0.00003674279,0.000009732771,0.00005806531,0.000084481784,0.000010355093],"category_scores_gemma":[0.00014140879,0.000037028258,0.00006778285,0.000098507444,0.00023131949,0.00005073375,0.000028171484,0.00017839651,3.565951e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008975653,0.0004167445,0.17586735,0.00045767313,0.00010087841,0.000012459404,0.0020617372,7.8700516e-8,0.80670404,0.012766328,0.0012175003,0.0003054846],"study_design_scores_gemma":[0.00031395952,0.000057639303,0.9132615,0.0002678918,0.00006410329,0.000033825636,0.002999922,0.0000017574043,0.080842346,0.0014197474,0.00068549183,0.00005182301],"about_ca_topic_score_codex":0.000037235255,"about_ca_topic_score_gemma":0.00007583901,"teacher_disagreement_score":0.73739415,"about_ca_system_score_codex":0.000004394722,"about_ca_system_score_gemma":0.000031337604,"threshold_uncertainty_score":0.15099685},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.012644776692491503,"score_gpt":0.19305024465641502,"score_spread":0.1804054679639235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197260375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98982584,0.002850054,0.000003976135,0.0032436713,0.00022458247,0.00021312443,0.00008265547,0.0000856641,0.0034704218],"genre_scores_gemma":[0.99615765,0.0001680895,0.000028172712,0.00041620756,0.0005347736,0.000014649163,0.000117179676,0.0000015158274,0.0025617674],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988042,0.0001209309,0.00019874587,0.00044652564,0.00013946973,0.0002901268],"domain_scores_gemma":[0.9994359,0.00008958581,0.00016100133,0.00006346076,0.00011589562,0.00013412551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013787558,0.00023502215,0.00027379955,0.0000042741035,0.00023650323,0.00032248447,0.0002182004,0.00017814612,0.00031954216],"category_scores_gemma":[0.000012135657,0.00006770171,0.00011588448,0.00017388181,0.000020785983,0.00038313988,0.00012002905,0.00016991643,0.0001043617],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003730467,0.000108975844,0.0024873763,0.00013290846,0.0001082736,0.000027035272,0.0011255183,0.000002748029,0.95922554,0.00031955267,0.010012348,0.02641242],"study_design_scores_gemma":[0.0002782265,0.00028347987,0.2080008,0.00036039972,0.000041337782,0.00063662365,0.009058375,0.00013175853,0.019757565,0.00010716366,0.76078707,0.0005571775],"about_ca_topic_score_codex":0.00032821496,"about_ca_topic_score_gemma":0.00214551,"teacher_disagreement_score":0.93946797,"about_ca_system_score_codex":0.000028783159,"about_ca_system_score_gemma":0.000007851425,"threshold_uncertainty_score":0.34987625},"labels":[],"label_agreement":null},{"id":"W3203272843","doi":"10.3390/agriculture11100957","title":"Field Capacity and Harvest Efficiency Evaluation of Traditional Small Box and Semi-Automated Bin Handling Systems for Wild Blueberries","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Prince Edward Island; Nova Scotia Health Authority; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Bin; Agricultural engineering; Combine harvester; Nova scotia; Mathematics; Tractor; Environmental science; Statistics; Computer science; Engineering; Automotive engineering; Mechanical engineering; Algorithm; Geography","score_opus":0.0840272210194335,"score_gpt":0.2595311584839326,"score_spread":0.1755039374644991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203272843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99655545,0.0017614514,0.000020629783,0.0010196383,0.000057221267,0.00028762297,0.00010986168,0.000024689134,0.00016344221],"genre_scores_gemma":[0.999257,0.00011691977,0.00007304076,0.000049190752,0.00010451223,0.0000423984,0.0001859272,5.1456595e-7,0.00017049325],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99920595,0.000066339235,0.00015186462,0.00020347297,0.00024871138,0.00012367971],"domain_scores_gemma":[0.9990749,0.00021804322,0.000062192164,0.000025451267,0.0005626157,0.00005681516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029997685,0.00008206459,0.00011941393,0.000006412299,0.00018621668,0.000096941694,0.00005245191,0.00010588143,0.000033863576],"category_scores_gemma":[0.00015108053,0.000031409225,0.00003304222,0.00018936952,0.000040927167,0.000053709064,0.00002272153,0.00006458703,3.8059702e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021115025,0.00019905229,0.007844093,0.00013511609,0.000051392963,0.0000010485686,0.0003817426,0.00041443334,0.97528386,0.0029518404,0.005386312,0.007330019],"study_design_scores_gemma":[0.0010210284,0.00071851007,0.83371335,0.00027169927,0.00012340976,0.000064135435,0.0029526385,0.026408337,0.12234904,0.0013064268,0.010634596,0.0004368504],"about_ca_topic_score_codex":0.00015893503,"about_ca_topic_score_gemma":0.00052359555,"teacher_disagreement_score":0.8529348,"about_ca_system_score_codex":0.0000091778575,"about_ca_system_score_gemma":0.000016535634,"threshold_uncertainty_score":0.1432247},"labels":[],"label_agreement":null},{"id":"W3207689564","doi":"10.3390/agriculture11100990","title":"The Quality of Superior Seedless Bunches during Shelf Life as Determined by Growth on Different Rootstocks","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"King Saud University","keywords":"Rootstock; Vineyard; Shelf life; Ascorbic acid; Cultivar; Horticulture; Biology; Botany; Chemistry; Food science","score_opus":0.025612291366469496,"score_gpt":0.2688337326957477,"score_spread":0.24322144132927817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207689564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874323,0.0007742308,8.545128e-8,0.010490781,0.00010735328,0.00028693705,0.00010353908,0.00005791199,0.0007468757],"genre_scores_gemma":[0.99430865,0.0004313723,0.0000037624106,0.00027766073,0.00033914673,0.000058000915,0.00017725129,0.0000016632264,0.004402518],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99740374,0.00030492415,0.00048810442,0.00047763955,0.00077004626,0.0005555601],"domain_scores_gemma":[0.9982388,0.00058642833,0.00014510874,0.00011951466,0.0005192785,0.0003908485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018290065,0.00031284196,0.00041000408,0.0000049973182,0.0007127541,0.00020102257,0.00046827729,0.00019507414,0.0002457317],"category_scores_gemma":[0.0011633937,0.00007205744,0.0002988728,0.00043942934,0.00012401612,0.00013297827,0.00019267795,0.0003457061,0.000048501835],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008268268,0.00017363089,0.0046957247,0.00003044643,0.000047593603,0.000008849074,0.00014560283,7.15941e-7,0.98676246,0.0004383057,0.0046083373,0.0030056536],"study_design_scores_gemma":[0.0002272917,0.00021111865,0.5595632,0.00005654518,0.000015480688,0.000012425892,0.0022882796,0.0000011742785,0.43337217,0.00009864253,0.0038874124,0.00026621422],"about_ca_topic_score_codex":0.00041140025,"about_ca_topic_score_gemma":0.0014292909,"teacher_disagreement_score":0.5548675,"about_ca_system_score_codex":0.000053433247,"about_ca_system_score_gemma":0.000020940639,"threshold_uncertainty_score":0.5482001},"labels":[],"label_agreement":null},{"id":"W3208156866","doi":"10.3390/agriculture11111066","title":"The Role of Incubators and Accelerators in the Fourth Agricultural Revolution: A Case Study of Canada","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University; University of the Fraser Valley","funders":"","keywords":"Sustainability; Agriculture; Thematic analysis; Food security; Sustainable agriculture; Business; Stakeholder; Sustainable development; Political science; Economic growth; Environmental resource management; Qualitative research; Sociology; Public relations; Economics; Geography; Social science; Ecology","score_opus":0.0053184459671693045,"score_gpt":0.17411016356396145,"score_spread":0.16879171759679215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208156866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99586517,0.0009977926,1.5619236e-8,0.0024688393,0.000038101545,0.00030414708,0.000008897937,0.00000357137,0.00031343868],"genre_scores_gemma":[0.9997504,0.00003511543,0.0000061883857,0.00006775735,0.00003890079,0.000025578009,0.000006916653,2.337388e-7,0.000068949674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901056,0.00019232681,0.00026740486,0.00017571085,0.00017930847,0.00017469762],"domain_scores_gemma":[0.9993821,0.00022642942,0.00009709153,0.00006238083,0.00019250113,0.000039518913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024399202,0.00010452965,0.00015589825,0.0000029408618,0.0003007471,0.00003200489,0.00017341075,0.000056125806,0.0000116120045],"category_scores_gemma":[0.00005728038,0.000023810202,0.000032888303,0.00046160334,0.000044145407,0.000057562782,0.00008242452,0.00013364453,8.2028095e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055006316,0.0014985283,0.87472856,0.000072733776,0.00019216267,0.0011855561,0.027162177,0.000044415465,0.013185292,0.0043186177,0.00784543,0.06971154],"study_design_scores_gemma":[0.00009478573,0.00008021105,0.60967654,0.0000057667376,0.000008175241,0.0003465782,0.37944356,0.0000014397465,0.0006296549,0.000104062965,0.009535151,0.00007408727],"about_ca_topic_score_codex":0.12698887,"about_ca_topic_score_gemma":0.87900305,"teacher_disagreement_score":0.75201416,"about_ca_system_score_codex":0.0000479198,"about_ca_system_score_gemma":0.00007314992,"threshold_uncertainty_score":0.8788246},"labels":[],"label_agreement":null},{"id":"W3210095308","doi":"10.3390/agriculture11111081","title":"Summer Pruning, an Eco-Friendly Approach to Controlling Bitter Pit and Preserving Sensory Quality in Highly Vigorous Apple cv. ‘Reinette du Canada’","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pruning; Horticulture; Cultivar; Quality (philosophy); Environmentally friendly; Biology; Mathematics; Botany; Ecology","score_opus":0.020882588949007172,"score_gpt":0.21889861622404022,"score_spread":0.19801602727503304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210095308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99438304,0.00036416133,0.000005335102,0.0035110859,0.000062250336,0.00015773333,0.00013778418,0.000035609886,0.0013430013],"genre_scores_gemma":[0.9960248,0.00003398085,0.00013526565,0.0020633645,0.00029409523,0.000038371323,0.00043978353,0.0000010091483,0.00096936704],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99860793,0.00020598146,0.00024284047,0.00045725788,0.00017555403,0.00031041476],"domain_scores_gemma":[0.99942297,0.00017905558,0.00007801097,0.00006456347,0.00014067958,0.00011472779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017151028,0.00018474345,0.0002967851,0.0000071515824,0.0002877742,0.000050970368,0.00015175232,0.00012164108,0.000028567307],"category_scores_gemma":[0.00008818367,0.00007003816,0.00003646629,0.00028384515,0.000026585743,0.00015055104,0.00011495396,0.00019098374,0.0000029698492],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053779717,0.00016645648,0.040692404,0.000023457667,0.000053512154,0.000030892403,0.0007494172,0.00032894866,0.9269136,0.0006956395,0.029431304,0.00086057046],"study_design_scores_gemma":[0.00029836435,0.00004923213,0.92128265,0.000019413033,0.000012430056,0.000022684044,0.0034673268,0.000058241007,0.002839201,0.00004261258,0.07159528,0.00031257718],"about_ca_topic_score_codex":0.03941154,"about_ca_topic_score_gemma":0.36166987,"teacher_disagreement_score":0.9240744,"about_ca_system_score_codex":0.000029298577,"about_ca_system_score_gemma":0.000020891934,"threshold_uncertainty_score":0.9669851},"labels":[],"label_agreement":null},{"id":"W3215836547","doi":"10.3390/agriculture11121187","title":"Fertilization Regulates Accumulation and Allocation of Biomass and Nutrients in Phoebe bournei Seedlings","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Seedling growth and survival studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fertilizer; Seedling; Human fertilization; Biomass (ecology); Nutrient; Agronomy; Dry weight; Horticulture; Biology; Chemistry; Ecology","score_opus":0.011746303808612427,"score_gpt":0.22636471995001084,"score_spread":0.21461841614139843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215836547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99854445,0.0006247429,0.000032221527,0.00034579236,0.000028040824,0.000071159964,0.0000012829054,0.000008504223,0.0003438289],"genre_scores_gemma":[0.99946773,0.00019987456,0.00017348227,0.000034865963,0.000009834784,0.0000028060658,0.000023648214,0.0000022974039,0.00008547112],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995179,0.000022193937,0.000115452596,0.00015643933,0.00010698864,0.00008102986],"domain_scores_gemma":[0.99983907,0.000024160243,0.000044892586,0.00004422964,0.000020314546,0.000027352906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006996144,0.00006229665,0.00008436837,0.000013292851,0.000052375766,0.000014514904,0.000024981786,0.000053921773,0.000014935377],"category_scores_gemma":[0.00006228571,0.000045673343,0.000010478907,0.00027437092,0.000040109324,0.00012170554,0.000057127218,0.000031800206,0.0000018989876],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009491264,0.00003787257,0.83264893,0.000020401882,0.000005647599,0.0000011533155,0.0010468179,0.00016895829,0.16410461,0.000072007315,0.00014193004,0.0017422105],"study_design_scores_gemma":[0.00021397267,0.000010724299,0.9597539,0.00002153233,0.000006517829,0.0000026448115,0.0003865432,0.00048796533,0.03838591,0.0004436548,0.0002265869,0.00006005365],"about_ca_topic_score_codex":0.00028504583,"about_ca_topic_score_gemma":0.00034354383,"teacher_disagreement_score":0.12710498,"about_ca_system_score_codex":0.000022324526,"about_ca_system_score_gemma":0.0000021030476,"threshold_uncertainty_score":0.1862505},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.020827741637256973,"score_gpt":0.24309747222653533,"score_spread":0.22226973058927835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200291982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99891883,0.000046318226,0.00000577794,0.00029187763,0.000047038826,0.00038499237,0.000022865363,0.0000117208165,0.00027058925],"genre_scores_gemma":[0.9993503,0.000011380681,0.00012210361,0.000047565238,0.00007487917,0.00008968082,0.0000818201,0.0000032862474,0.0002189703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991345,0.000064518616,0.0002036337,0.0002485208,0.00016203577,0.00018678185],"domain_scores_gemma":[0.999674,0.00001891089,0.00009300718,0.00012327162,0.000055975917,0.00003483028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000091433045,0.000108841225,0.0001953738,0.000015537884,0.00012647614,0.000006652873,0.00007725907,0.00009936392,0.00016879916],"category_scores_gemma":[0.000008343966,0.000053710308,0.00010678194,0.00025235166,0.000045185254,0.00015034799,0.00009170367,0.0000758974,0.000009726551],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025022367,0.008989175,0.57973635,0.00046616676,0.00089909066,0.001355041,0.107097566,0.006423753,0.2808554,0.00018876244,0.010686082,0.0030523697],"study_design_scores_gemma":[0.0045550875,0.0021879864,0.6880032,0.00011277397,0.0016192717,0.0039004968,0.13812886,0.0006561376,0.15654592,0.00020287953,0.003050083,0.0010373448],"about_ca_topic_score_codex":0.0011176864,"about_ca_topic_score_gemma":0.006430591,"teacher_disagreement_score":0.12430948,"about_ca_system_score_codex":0.000024791509,"about_ca_system_score_gemma":0.0000020560542,"threshold_uncertainty_score":0.35884207},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Interoperability; End user; Cloud computing; World Wide Web; Operating system","score_opus":0.008963104925478478,"score_gpt":0.23644108944491884,"score_spread":0.22747798451944037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200414197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941407,0.00059188926,0.000017647393,0.0024744512,0.00014206702,0.00092281966,0.0001856676,0.00012201041,0.0014027419],"genre_scores_gemma":[0.9943255,0.000070478585,0.00005679007,0.0020973054,0.0004930671,0.00022944537,0.0013882003,0.000001866932,0.0013373321],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99856985,0.00017887168,0.00017316914,0.00052909745,0.00022958663,0.00031945342],"domain_scores_gemma":[0.99909246,0.00016366945,0.000083214654,0.000049489216,0.00042142783,0.00018976723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009911407,0.0002538238,0.00023298613,0.000008471246,0.00031217086,0.00017454334,0.000103537684,0.00019571403,0.00034330518],"category_scores_gemma":[0.000057681482,0.000082842824,0.00008975814,0.00051961356,0.000047307127,0.00023467891,0.000054139018,0.00023478267,0.000047342],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000415277,0.00037699458,0.011800766,0.000010565038,0.00008669465,0.000059179707,0.0008200002,0.0000027063454,0.824057,0.0002413875,0.012610347,0.14989284],"study_design_scores_gemma":[0.0006025212,0.0004758628,0.77963406,0.000098563854,0.000114371076,0.00010809151,0.0061657364,0.000031390886,0.073129214,0.00025832394,0.1388544,0.00052746147],"about_ca_topic_score_codex":0.00015953142,"about_ca_topic_score_gemma":0.00261489,"teacher_disagreement_score":0.7678333,"about_ca_system_score_codex":0.000028807905,"about_ca_system_score_gemma":0.000009285642,"threshold_uncertainty_score":0.37589508},"labels":[],"label_agreement":null},{"id":"W4200620063","doi":"10.3390/agriculture11121232","title":"The Combined Effect of Nitrogen Treatment and Weather Conditions on Wheat Protein-Starch Interaction and Dough Quality","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Food composition and properties","field":"Nursing","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"Eesti Teadusagentuur","keywords":"Gluten; Starch; Agronomy; Nitrogen; Winter wheat; Crop; Field experiment; Food science; Chemistry; Animal science; Biology","score_opus":0.015185320655952343,"score_gpt":0.2838234719178382,"score_spread":0.26863815126188584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200620063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912259,0.00073059124,2.1672503e-7,0.0062772287,0.00009885771,0.00033188553,0.000018109158,0.000020863194,0.0012963412],"genre_scores_gemma":[0.99929124,0.000031931475,0.000012032886,0.00009230322,0.000035004097,0.00005751318,0.000042891643,0.0000040039463,0.00043307236],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993413,0.000289505,0.00010155705,0.000120988174,0.000070574744,0.000076093376],"domain_scores_gemma":[0.9996189,0.000161488,0.000039065115,0.000096317504,0.00005615979,0.000028105456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000062209045,0.0000917684,0.00011957758,0.000009374581,0.000211305,0.000051374096,0.000023223185,0.00004316014,0.000015563664],"category_scores_gemma":[0.00001765537,0.000041311567,0.000039292267,0.000056126195,0.000044645865,0.00004654021,0.000012977711,0.00007658256,0.0000037664981],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0060073137,0.00034904107,0.0022195354,0.00016261147,0.00028650538,0.0000058888,0.0039318195,0.0000094840425,0.96405935,0.0021932658,0.0031003347,0.01767487],"study_design_scores_gemma":[0.0015130143,0.006396248,0.00869226,0.0001511721,0.000073896364,0.000032596363,0.0010724681,0.00000648256,0.96011233,0.0006553215,0.02117289,0.00012129208],"about_ca_topic_score_codex":0.00012115123,"about_ca_topic_score_gemma":0.00010982493,"teacher_disagreement_score":0.018072555,"about_ca_system_score_codex":0.00003207247,"about_ca_system_score_gemma":0.000004018501,"threshold_uncertainty_score":0.16846368},"labels":[],"label_agreement":null},{"id":"W4206672209","doi":"10.3390/agriculture12010101","title":"Maximization of Water Productivity and Yield of Two Iceberg Lettuce Cultivars in Hydroponic Farming System Using Magnetically Treated Saline Water","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Magnetic and Electromagnetic Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Saline water; Irrigation; Population; Seawater; Environmental science; Cultivar; Iceberg; Horticulture; Water-use efficiency; Agronomy; Biology; Salinity; Geography; Ecology","score_opus":0.004815493921263694,"score_gpt":0.2023310124126357,"score_spread":0.197515518491372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206672209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99864686,0.00047637627,0.00009691046,0.00013515995,0.000042343836,0.00032880693,0.000010911795,0.000007921061,0.00025474388],"genre_scores_gemma":[0.99896914,0.00001282112,0.0003163197,0.000017407772,0.00005321022,0.00002280466,0.00014609624,0.000011356843,0.0004508321],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99891686,0.00014971821,0.00024593456,0.0003062733,0.00014359837,0.00023763701],"domain_scores_gemma":[0.99966073,0.000008889409,0.0000622172,0.000164897,0.00006928772,0.00003399115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020900105,0.00014559652,0.0002134129,0.00004427679,0.000061939485,0.000006181678,0.00009485095,0.00007852563,0.000035985522],"category_scores_gemma":[0.000019679084,0.00008734201,0.000043227665,0.00011943574,0.000050618655,0.0000043113846,0.00015576629,0.00011086379,3.6429347e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087771834,0.00010092334,0.0018753437,0.0001469125,0.000019792717,0.0000062863255,0.00019082984,0.0016913529,0.9954848,0.00003363618,0.00005978176,0.00030252186],"study_design_scores_gemma":[0.0006436949,0.0007252744,0.0022961278,0.000030856707,0.000054213648,0.00010504187,0.00013041824,0.00061410305,0.994927,0.000010073693,0.0003075031,0.00015568812],"about_ca_topic_score_codex":0.00047056502,"about_ca_topic_score_gemma":0.00008765134,"teacher_disagreement_score":0.00107725,"about_ca_system_score_codex":0.000021653397,"about_ca_system_score_gemma":0.00001364055,"threshold_uncertainty_score":0.35617036},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.005151727926937504,"score_gpt":0.2022332887700589,"score_spread":0.1970815608431214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206684911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92329323,0.00075998827,0.015150276,0.05394964,0.00042133278,0.0016136869,0.00008765058,0.0008877907,0.0038363815],"genre_scores_gemma":[0.9877667,0.000022269327,0.008269581,0.0028851165,0.000078117235,0.0003163981,0.000027415883,0.000012338283,0.00062210107],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972426,0.00024925725,0.00036191844,0.0012673859,0.00041059722,0.00046822743],"domain_scores_gemma":[0.99824756,0.00009907479,0.0001369216,0.0010977673,0.0002311963,0.0001874532],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003140752,0.00045311544,0.0003770132,0.00013283204,0.00043377667,0.00015641992,0.00084559113,0.00033911935,0.000031063057],"category_scores_gemma":[0.000053650983,0.00029961884,0.00015213195,0.0010574275,0.000121113546,0.000033536242,0.00045353384,0.00066921074,0.000026998927],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014929412,0.006426535,0.0014007735,0.0002966518,0.0005121305,0.0006089775,0.017213438,0.0039060123,0.011564331,0.8452912,0.06264398,0.049986668],"study_design_scores_gemma":[0.018682553,0.011342222,0.0977408,0.0032117479,0.0005020907,0.0010680599,0.036674216,0.19139133,0.32930905,0.08382782,0.2160712,0.010178903],"about_ca_topic_score_codex":0.000010955733,"about_ca_topic_score_gemma":0.00014472636,"teacher_disagreement_score":0.7614634,"about_ca_system_score_codex":0.00012693442,"about_ca_system_score_gemma":0.000032230375,"threshold_uncertainty_score":0.9999456},"labels":[],"label_agreement":null},{"id":"W4210466412","doi":"10.3390/agriculture12020160","title":"Evaluating the Effectiveness and Efficiency of Climate Information Communication in the African Agricultural Sector: A Systematic Analysis of Climate Services","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Traditional knowledge; Participatory action research; Knowledge management; Environmental resource management; Indigenous; Citizen journalism; Service provider; Agriculture; Business; Mainstreaming; Public relations; Political science; Service (business); Economic growth; Marketing; Computer science; Geography; Ecology; Economics","score_opus":0.025125452336930764,"score_gpt":0.2756127617272488,"score_spread":0.25048730939031805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210466412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99608624,0.0009185089,2.0702059e-7,0.00056425505,0.000033911663,0.0013706753,0.00039715163,0.000025907151,0.00060313207],"genre_scores_gemma":[0.99862134,0.00035647274,0.000011345021,0.000112575704,0.000017454799,0.0002855233,0.0005927731,8.321414e-7,0.0000016614921],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9962636,0.0018917301,0.0006460475,0.00019898382,0.0006898647,0.00030972774],"domain_scores_gemma":[0.99694,0.001771501,0.0008356137,0.00018889409,0.00022689642,0.000037066875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031528217,0.00021804977,0.0005255416,0.000057417434,0.00059902936,0.00010609267,0.0008001546,0.000076949094,0.0000459573],"category_scores_gemma":[0.00012724643,0.000053618056,0.00019416212,0.003702124,0.000067033696,0.00032724306,0.00036158448,0.00028878063,0.0000012690671],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095288636,0.0021218916,0.12668635,0.025759028,0.0018924222,0.000005769069,0.14227864,0.02322023,0.6604635,0.008503211,0.00024144443,0.0078745885],"study_design_scores_gemma":[0.0002032065,0.00035066713,0.9158727,0.0004097371,0.0006026696,0.000021605127,0.08128208,0.0008075072,0.00021769117,0.000036905083,0.000031212927,0.00016401274],"about_ca_topic_score_codex":0.0007568199,"about_ca_topic_score_gemma":0.0019816444,"teacher_disagreement_score":0.78918636,"about_ca_system_score_codex":0.00006851902,"about_ca_system_score_gemma":0.000004439463,"threshold_uncertainty_score":0.460731},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.01823609921716083,"score_gpt":0.18381701153267604,"score_spread":0.16558091231551522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210589460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918178,0.0006633991,0.00000310762,0.0022842078,0.00066189707,0.00022107858,0.00007309958,0.00018889984,0.0040865173],"genre_scores_gemma":[0.9964157,0.000019614268,0.000002879701,0.00035479054,0.00060634373,0.000050673098,0.00042323107,9.919166e-7,0.0021257969],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.998935,0.00006417944,0.00014610383,0.00028948835,0.00033839783,0.00022683099],"domain_scores_gemma":[0.99969095,0.000068969704,0.00008546878,0.000060743296,0.000030166,0.00006368717],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000082598875,0.00014783368,0.00015004723,0.000007522031,0.00053529843,0.00012415985,0.0002828979,0.00006779434,0.0014118627],"category_scores_gemma":[0.0000038380667,0.000049678034,0.00010140468,0.000358392,0.000016569222,0.00009820293,0.00011721496,0.00020070086,0.00010042953],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011856425,0.00071032776,0.015514993,0.000023510338,0.00028240695,0.00005314799,0.0005501938,0.038064215,0.2133255,0.003919552,0.66948,0.057957552],"study_design_scores_gemma":[0.00033557002,0.00027264815,0.6419493,0.000016425081,0.00007247291,0.000011538081,0.012178738,0.0010887791,0.00019382492,0.00055450463,0.34278902,0.00053719955],"about_ca_topic_score_codex":0.0016676118,"about_ca_topic_score_gemma":0.0031049398,"teacher_disagreement_score":0.62643427,"about_ca_system_score_codex":0.000053258205,"about_ca_system_score_gemma":0.00000265332,"threshold_uncertainty_score":0.999501},"labels":[],"label_agreement":null},{"id":"W4210613668","doi":"10.3390/agriculture12020233","title":"Seasonal Changes in Phosphorus in Soils and Vegetation of Vegetated Filter Strips in Cold Climate Agricultural Systems","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Manitoba; University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Soil water; Surface runoff; Vegetation (pathology); Leaching (pedology); Hydrology (agriculture); Nutrient; Agronomy; Soil science; Ecology; Geology; Biology","score_opus":0.0050528340711782655,"score_gpt":0.17611145683168355,"score_spread":0.1710586227605053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210613668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984413,0.0006320359,2.097641e-7,0.00019388573,0.000107530745,0.00030919843,0.00003723207,0.000011155212,0.00026747512],"genre_scores_gemma":[0.9995098,0.00017212066,0.000017523318,0.00003535653,0.000011724775,0.00010461958,0.000082281374,0.0000043688206,0.00006222333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892384,0.00011544618,0.0002133174,0.00024049514,0.00025447586,0.0002524249],"domain_scores_gemma":[0.99977463,0.000029523999,0.00008807504,0.000062930136,0.0000068754475,0.000037954156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021677467,0.00012299031,0.00017906466,0.00004581356,0.00005222667,0.00001694606,0.00011561141,0.00006143764,0.000011556094],"category_scores_gemma":[0.000006710357,0.00008397245,0.000019639376,0.00062343956,0.000032554017,0.00012764883,0.00015984896,0.00023385668,0.000003857245],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024210252,0.00013283965,0.96911037,0.000038217815,0.0000034855514,0.000024418998,0.0015766734,0.02186912,0.006686559,0.00009371779,0.00023635237,0.00020405815],"study_design_scores_gemma":[0.0007247353,0.000069276524,0.9932408,0.00005788413,0.0000037725442,0.000012683292,0.001582853,0.0030246896,0.0006704539,0.00004566827,0.00042165205,0.00014554852],"about_ca_topic_score_codex":0.0009881089,"about_ca_topic_score_gemma":0.0014292871,"teacher_disagreement_score":0.024130436,"about_ca_system_score_codex":0.00021037766,"about_ca_system_score_gemma":0.0000035152068,"threshold_uncertainty_score":0.34242973},"labels":[],"label_agreement":null},{"id":"W4213361768","doi":"10.3390/agriculture12020277","title":"Effects of Silage-Based Diets and Cattle Efficiency Type on Performance, Profitability, and Predicted CH4 Emission of Backgrounding Steers","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Silage; Beef cattle; Triticale; Profitability index; Forage; Agronomy; Feed conversion ratio; Residual feed intake; Animal science; Mathematics; Environmental science; Agricultural science; Biology; Business","score_opus":0.008868924147471726,"score_gpt":0.20074040528328937,"score_spread":0.19187148113581765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213361768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99891555,0.00025317405,2.3113364e-7,0.00025470217,0.00006847659,0.00028024535,0.000031136122,0.000016940943,0.00017956985],"genre_scores_gemma":[0.99968636,0.00004861402,0.000010525696,0.00004263835,0.000024351837,0.00001639721,0.000111546186,5.470194e-7,0.000059000264],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99932426,0.000084842155,0.00012553531,0.00019507189,0.00014962595,0.00012067771],"domain_scores_gemma":[0.9995426,0.00022507607,0.000090210444,0.000028471088,0.000063533385,0.00005009177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008940546,0.00009315926,0.00016188381,0.000012585973,0.00017755422,0.000005633625,0.00007874617,0.00004942791,0.000025604988],"category_scores_gemma":[0.00004671065,0.000033183933,0.000028835073,0.00031505275,0.00008331705,0.000037776033,0.00007212315,0.000099708865,2.6412948e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019644429,0.00030074283,0.033641096,0.00017273518,0.0000047994063,7.614762e-7,0.00008736098,0.000026149359,0.9631714,0.000084936226,0.00047817477,0.0018353768],"study_design_scores_gemma":[0.0003107674,0.0027227825,0.9127292,0.000065493565,0.000012377554,0.0000028761854,0.0002824744,0.000054344302,0.08273201,0.000024670282,0.0009731184,0.00008990478],"about_ca_topic_score_codex":0.000016232294,"about_ca_topic_score_gemma":0.000001784973,"teacher_disagreement_score":0.8804394,"about_ca_system_score_codex":0.000013098148,"about_ca_system_score_gemma":0.0000057978086,"threshold_uncertainty_score":0.13656214},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.026716160085431376,"score_gpt":0.25378103900623517,"score_spread":0.2270648789208038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214636621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921899,0.002047904,0.00007233469,0.0014680313,0.00043116912,0.0017987867,0.00070413563,0.00011133462,0.0011764244],"genre_scores_gemma":[0.9927504,0.00013178075,0.00072502845,0.00020264975,0.00025647937,0.00034049156,0.0036329199,0.000002286237,0.0019579655],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99846625,0.0000815705,0.00033553134,0.0005481692,0.000293666,0.00027482057],"domain_scores_gemma":[0.9993228,0.00012940085,0.00018055431,0.00012140213,0.0001572068,0.00008866933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003009991,0.00025548867,0.0002697773,0.000023283057,0.0007087707,0.00007111707,0.00047598768,0.00010900264,0.00023153202],"category_scores_gemma":[0.000015111925,0.000089575486,0.000099877114,0.00049572496,0.000040599705,0.0003101961,0.00026927987,0.00021186245,0.0000066247003],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001902368,0.00075658236,0.0017756312,0.0003159805,0.00019591009,0.000003885536,0.0017276483,0.000036319,0.8495085,0.0025228325,0.11341764,0.029548798],"study_design_scores_gemma":[0.0010673057,0.0010560589,0.14294198,0.00019379857,0.00025970914,0.00006993469,0.018388567,0.00011767913,0.020492978,0.000596723,0.8139958,0.00081946317],"about_ca_topic_score_codex":0.000081420236,"about_ca_topic_score_gemma":0.00227652,"teacher_disagreement_score":0.82901555,"about_ca_system_score_codex":0.000053235937,"about_ca_system_score_gemma":0.000007344182,"threshold_uncertainty_score":0.5451363},"labels":[],"label_agreement":null},{"id":"W4214695531","doi":"10.3390/agriculture12030315","title":"The Potential of Using Radarsat-2 Satellite Image for Modeling and Mapping Wheat Yield in a Semiarid Environment","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Polarimetry; Yield (engineering); Context (archaeology); Empirical modelling; Correlation coefficient; Linear regression; Coefficient of determination; Mathematics; Growing season; Satellite; Mean squared error; Grain yield; Environmental science; Remote sensing; Agronomy; Statistics; Geography; Physics; Computer science; Scattering","score_opus":0.009596788690802877,"score_gpt":0.18761349109359515,"score_spread":0.17801670240279227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214695531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99383616,0.0008541416,0.0033186926,0.00092560827,0.00012252861,0.0005869157,0.000016150183,0.000015415426,0.00032435346],"genre_scores_gemma":[0.9846741,0.0002851088,0.014600968,0.00008834102,0.000059781614,0.0000057375537,0.000015461796,0.00001211639,0.00025838506],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873173,0.00006571949,0.0002623166,0.00031814995,0.00033638618,0.0002857092],"domain_scores_gemma":[0.9996189,0.00006113707,0.00010444095,0.00016266906,0.000006870976,0.000045966226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030399664,0.00015586824,0.00015847395,0.000017530288,0.00045715595,0.00003793284,0.00019335089,0.000067773384,0.00003656474],"category_scores_gemma":[0.00001997252,0.00009195476,0.000074483796,0.00018593845,0.00008175299,0.00010851342,0.00035725482,0.0002623052,0.0000020462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002480784,0.000039527276,0.0007445352,0.000013281959,0.000013084782,0.00000847381,0.0012122984,0.21953715,0.77281713,0.000015417192,0.00084867293,0.0047256425],"study_design_scores_gemma":[0.002443401,0.00030335554,0.059039854,0.0002246349,0.00020013703,0.00078281795,0.0256893,0.76293135,0.02487747,0.0030801487,0.11866401,0.0017635194],"about_ca_topic_score_codex":0.00045552483,"about_ca_topic_score_gemma":0.00006335592,"teacher_disagreement_score":0.74793965,"about_ca_system_score_codex":0.0002283102,"about_ca_system_score_gemma":0.0000053860776,"threshold_uncertainty_score":0.37498063},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.002568470055161572,"score_gpt":0.23445670125722048,"score_spread":0.23188823120205893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220840226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9634002,0.00028537604,0.000018811696,0.008588478,0.000113037546,0.00048349667,0.00014172829,0.0001040952,0.026864799],"genre_scores_gemma":[0.9938393,0.000035914647,0.00046998425,0.0020922362,0.00024122444,0.0000980499,0.000071009454,0.000018971807,0.0031332735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977654,0.000109976354,0.00019368318,0.0005918757,0.0006884564,0.0006506115],"domain_scores_gemma":[0.99932927,0.000053550353,0.00018747123,0.0002893361,0.000010752806,0.00012963326],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017870023,0.0003131957,0.00022336631,0.000006192967,0.001614252,0.00005884857,0.00049038354,0.00018187184,0.0015199238],"category_scores_gemma":[0.00006639529,0.000183715,0.00011148827,0.0008905498,0.00021139464,0.00060355506,0.0012518642,0.0010784151,0.00009212276],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006997699,0.002905228,0.47878253,0.00016502583,0.0004118346,0.00072233484,0.081003316,0.12660818,0.033737794,0.012341462,0.23546368,0.02715884],"study_design_scores_gemma":[0.0007297707,0.00045714408,0.6426629,0.000015679172,0.000025134079,0.0005493449,0.03555613,0.000009435826,0.0022150842,0.0020965603,0.31496632,0.00071649643],"about_ca_topic_score_codex":0.0015897626,"about_ca_topic_score_gemma":0.0011237826,"teacher_disagreement_score":0.16388036,"about_ca_system_score_codex":0.0019062135,"about_ca_system_score_gemma":0.000018906052,"threshold_uncertainty_score":0.9996855},"labels":[],"label_agreement":null},{"id":"W4220949557","doi":"10.3390/agriculture12030383","title":"Optimizing Irrigation Strategies to Improve Water Use Efficiency of Cotton in Northwest China Using RZWQM2","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Irrigation; Environmental science; Irrigation scheduling; Water-use efficiency; Topsoil; Deficit irrigation; Agronomy; Crop yield; Transpiration; Water use; Soil water; Irrigation management; Hydrology (agriculture); Soil science","score_opus":0.015335724282151813,"score_gpt":0.2183327970769919,"score_spread":0.20299707279484008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220949557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997896,0.000024336588,0.000018974264,0.0010907191,0.00014848632,0.00035787237,0.0000366746,0.000023633946,0.0004032742],"genre_scores_gemma":[0.9991104,0.0000040253235,0.0003247241,0.00012918349,0.000053757536,0.000029187864,0.00018713398,8.759588e-7,0.00016070837],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99893826,0.00008467343,0.00024306832,0.00025090686,0.00025530747,0.00022778766],"domain_scores_gemma":[0.99972254,0.00002640325,0.00010619305,0.000049818962,0.000052750725,0.00004229357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002161577,0.00011748693,0.0001332829,0.000023320212,0.0002515418,0.00011930847,0.00018970347,0.000036353384,0.00020331802],"category_scores_gemma":[0.000007549,0.000038929942,0.000050802704,0.00042949038,0.000013210973,0.00048961845,0.00019384544,0.00013919239,0.0000047882104],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028820823,0.00015624562,0.001634082,0.0000116313095,0.000009585064,0.000006753261,0.0027189425,0.043521024,0.9492585,0.0007464331,0.0000971945,0.0018107501],"study_design_scores_gemma":[0.001092713,0.0021009396,0.68086493,0.0000967217,0.00012081141,0.000030810315,0.043192837,0.0037627392,0.19424939,0.001841167,0.07115183,0.0014951116],"about_ca_topic_score_codex":0.004706866,"about_ca_topic_score_gemma":0.0011437129,"teacher_disagreement_score":0.7550092,"about_ca_system_score_codex":0.000052238338,"about_ca_system_score_gemma":0.0000050488034,"threshold_uncertainty_score":0.71154046},"labels":[],"label_agreement":null},{"id":"W4220993369","doi":"10.3390/agriculture12040439","title":"Validation of Molecular Markers of Barley Net Blotch Resistance Loci on Chromosome 3H for Marker-Assisted Selection","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Russian Foundation for Basic Research","keywords":"Biology; Quantitative trait locus; Locus (genetics); Genetics; Population; Doubled haploidy; Plant disease resistance; Hordeum vulgare; Genotyping; Cultivar; SNP genotyping; Genetic marker; Genotype; Horticulture; Botany; Poaceae; Gene","score_opus":0.010240374190489135,"score_gpt":0.20604725642690103,"score_spread":0.1958068822364119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220993369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970256,0.0002307301,0.0000086860055,0.00093185366,0.000107058906,0.00033824978,0.00023437009,0.000018114326,0.00110531],"genre_scores_gemma":[0.99813515,0.00002849341,0.00021427768,0.00009856997,0.00008590187,0.00006771287,0.00055108895,0.0000012966246,0.0008174878],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999011,0.00012677074,0.00023102925,0.00024127579,0.00021926731,0.00017067042],"domain_scores_gemma":[0.9995268,0.00007368036,0.00017490321,0.000048320388,0.0001414737,0.000034804827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020578387,0.000118360964,0.00019096525,0.000013841634,0.00017525465,0.000010081814,0.00016586413,0.00009056716,0.0002159862],"category_scores_gemma":[0.000021861375,0.000048873724,0.00013315167,0.0004382394,0.00002755955,0.00002446583,0.00003833595,0.00009914481,9.5160874e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021576836,0.00013100354,0.00049727916,0.000022619455,0.000022012386,0.0000013403628,0.000028712453,0.00012423705,0.98219603,0.00036057565,0.014382088,0.0020183201],"study_design_scores_gemma":[0.00043385426,0.002211237,0.11127408,0.00002650155,0.00006386516,0.000013575849,0.00030294096,0.000025541472,0.8398358,0.0006729259,0.04486989,0.00026974632],"about_ca_topic_score_codex":0.000040613082,"about_ca_topic_score_gemma":0.00008001929,"teacher_disagreement_score":0.1423602,"about_ca_system_score_codex":0.00002453924,"about_ca_system_score_gemma":0.000008692535,"threshold_uncertainty_score":0.23648976},"labels":[],"label_agreement":null},{"id":"W4224209899","doi":"10.3390/agriculture12050578","title":"Opportunities and Challenges for Lebanese Horticultural Producers Linked to Corporate Buyers","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Business; Quality (philosophy); Procurement; Supply chain; Certification; Position (finance); Marketing; Industrial organization; Commerce; Finance; Economics","score_opus":0.10927196726087526,"score_gpt":0.23028821117010717,"score_spread":0.12101624390923191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224209899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91413057,0.0011900995,1.9392171e-7,0.083184816,0.00021261026,0.0008352145,0.00008944425,0.000092336595,0.00026472745],"genre_scores_gemma":[0.99535173,0.00037733966,0.000051564537,0.00049250724,0.00029325444,0.00040971945,0.00015387354,0.0000012407495,0.002868753],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99883676,0.0000946856,0.00017021716,0.00040890698,0.00020063609,0.000288801],"domain_scores_gemma":[0.99941427,0.00005639898,0.00009613898,0.00005662881,0.00019192198,0.00018466612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024326227,0.0001670422,0.00018381204,0.000011971794,0.0005924415,0.000056741017,0.00016692617,0.00005704805,0.00007450595],"category_scores_gemma":[0.000066928405,0.000058072394,0.000083051185,0.00023971009,0.00004893224,0.00010678814,0.00013267608,0.00012721788,0.0000013497931],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005943289,0.00061420444,0.00087237067,0.00028117883,0.00015107395,0.000034785353,0.008762778,0.00040581296,0.2286135,0.01211405,0.07604444,0.6715115],"study_design_scores_gemma":[0.00019791165,0.001121516,0.0648348,0.000006127147,0.000024100922,0.000069268506,0.2425469,0.000010819804,0.00034953895,0.00052605156,0.6899403,0.0003726536],"about_ca_topic_score_codex":0.00006202637,"about_ca_topic_score_gemma":0.00015400817,"teacher_disagreement_score":0.6711388,"about_ca_system_score_codex":0.00006596044,"about_ca_system_score_gemma":0.000013832205,"threshold_uncertainty_score":0.45566407},"labels":[],"label_agreement":null},{"id":"W4229332014","doi":"10.3390/agriculture12050672","title":"RZWQM2 Simulated Drip Fertigation Management to Improve Water and Nitrogen Use Efficiency of Maize in a Solar Greenhouse","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China; Jiangsu Agricultural Science and Technology Innovation Fund","keywords":"Fertigation; Drip irrigation; Environmental science; Leaf area index; Greenhouse; Irrigation; Water-use efficiency; Fertilizer; Agronomy; Mathematics; Hydrology (agriculture); Engineering","score_opus":0.0094287975268151,"score_gpt":0.19129755567647483,"score_spread":0.18186875814965972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229332014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966644,0.000024261748,0.0000044731964,0.0024123376,0.00006481063,0.0006160968,0.000024934181,0.00003078503,0.00015791839],"genre_scores_gemma":[0.99841136,0.00001204342,0.00011389196,0.00047672086,0.0000244935,0.00004596021,0.00012900327,0.0000010954622,0.0007854355],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99890053,0.00009010881,0.00023378812,0.0002917208,0.00025600436,0.00022782569],"domain_scores_gemma":[0.99973345,0.00003093735,0.00007292052,0.000058645164,0.00004509761,0.000058950627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023048982,0.00011980154,0.00012630808,0.000027157863,0.00018442371,0.00006707677,0.00016626014,0.000036538597,0.00014693962],"category_scores_gemma":[0.000008331058,0.000040755487,0.000041417512,0.0003853937,0.000012809954,0.00020557098,0.00033234808,0.00010826401,0.000009528049],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028715932,0.0007830069,0.038960665,0.000082432234,0.00011366219,0.000072107694,0.0033533692,0.0076380842,0.9206491,0.0011626094,0.002582392,0.024315381],"study_design_scores_gemma":[0.0020695438,0.0019216001,0.61562026,0.00006520733,0.00019047025,0.0000178279,0.008734137,0.0014461653,0.09714737,0.0029988983,0.26857546,0.0012130562],"about_ca_topic_score_codex":0.00058431644,"about_ca_topic_score_gemma":0.00017889189,"teacher_disagreement_score":0.82350177,"about_ca_system_score_codex":0.00003718859,"about_ca_system_score_gemma":0.0000011142606,"threshold_uncertainty_score":0.16619606},"labels":[],"label_agreement":null},{"id":"W4281492466","doi":"10.3390/agriculture12060746","title":"Effects of Climate Warming on the Potential Northern Planting Boundaries of Three Main Grain Crops in China","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Sowing; Global warming; Environmental science; Agriculture; Agronomy; Climate change; Cropping; China; Plateau (mathematics); Geography; Agroforestry; Biology; Ecology","score_opus":0.008883564335788657,"score_gpt":0.19461980976700125,"score_spread":0.1857362454312126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281492466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950471,0.00031873758,3.8557042e-7,0.0031862578,0.0002095641,0.0005640571,0.00035627192,0.000036695496,0.00028094888],"genre_scores_gemma":[0.99936754,0.00006512906,0.0000109746825,0.00015880738,0.00015209173,0.00005067977,0.00015176254,0.000002135541,0.000040885006],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981888,0.00021625716,0.0003544582,0.0002925406,0.00050271075,0.00044522868],"domain_scores_gemma":[0.99916244,0.00030551266,0.00034565674,0.00007872976,0.000053198713,0.000054483025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004309272,0.00024059677,0.00033385327,0.000016314565,0.0006449405,0.000071920214,0.00048928935,0.000100258265,0.00018235794],"category_scores_gemma":[0.00013166816,0.000067770045,0.00017340334,0.0007949909,0.00010971809,0.00008108952,0.00029881942,0.00044292802,0.000003826849],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018140381,0.00044539213,0.02368768,0.00011895289,0.000041832085,0.000073180185,0.0020594697,0.0002422471,0.9621365,0.00085610856,0.0017639523,0.0083932895],"study_design_scores_gemma":[0.0003573823,0.000595241,0.9716311,0.00015195592,0.000035631827,0.00005380002,0.0048637707,0.000030992254,0.018676467,0.00047074672,0.0028368714,0.0002960479],"about_ca_topic_score_codex":0.0015692373,"about_ca_topic_score_gemma":0.014162626,"teacher_disagreement_score":0.9479434,"about_ca_system_score_codex":0.00006300182,"about_ca_system_score_gemma":0.00000894194,"threshold_uncertainty_score":0.79030776},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.012544173164394396,"score_gpt":0.17952583302868125,"score_spread":0.16698165986428684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281743351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9339236,0.0001892281,0.00003226871,0.0031686912,0.0002870359,0.000850203,0.00012836269,0.0003477457,0.061072838],"genre_scores_gemma":[0.9935258,0.0000034297946,0.0002416406,0.003362037,0.00041126148,0.0002961028,0.0010252092,8.125817e-7,0.001133689],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99868935,0.000030004638,0.00022938424,0.00024940268,0.00045503917,0.00034681227],"domain_scores_gemma":[0.9995807,0.000021188423,0.000098581055,0.000048378715,0.000105125684,0.00014606172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015442478,0.0001908465,0.00016372773,0.000017074612,0.0008639451,0.00016304104,0.00038500875,0.00007641674,0.00019368096],"category_scores_gemma":[0.000016268203,0.00005801035,0.00010157891,0.0011518209,0.0000107862425,0.00039488557,0.00023204945,0.00027730525,0.00008879048],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012199842,0.0008293096,0.0061956313,0.000053615702,0.000054678923,0.0000074252976,0.006176063,0.0010656291,0.15039414,0.003028445,0.35381505,0.478258],"study_design_scores_gemma":[0.0001291462,0.00019394612,0.06806132,0.000006660194,0.000013656475,0.00007136696,0.007676096,0.000038922328,0.00056869147,0.00008595124,0.92282313,0.00033110977],"about_ca_topic_score_codex":0.0002009814,"about_ca_topic_score_gemma":0.00013079237,"teacher_disagreement_score":0.56900805,"about_ca_system_score_codex":0.000069885355,"about_ca_system_score_gemma":0.000009177439,"threshold_uncertainty_score":0.66448545},"labels":[],"label_agreement":null},{"id":"W4283371854","doi":"10.3390/agriculture12070912","title":"The Combination of Plant Extracts and Probiotics Improved Jejunal Barrier and Absorption Capacity of Weaned Piglets","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Jejunum; Occludin; Biology; Basal (medicine); Animal science; Nutrient; Small intestine; Biochemistry; Biotechnology; Tight junction","score_opus":0.011178579796224466,"score_gpt":0.1788502393642877,"score_spread":0.16767165956806324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283371854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980036,0.00017383993,2.5825307e-7,0.0013552709,0.000035349363,0.00016264172,0.00021067243,0.000007143431,0.000051220704],"genre_scores_gemma":[0.9996082,0.000090444,0.000016618631,0.00008586231,0.000025513431,0.0000073017495,0.00010156986,2.6828673e-7,0.00006421722],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995437,0.000071409064,0.00011946621,0.00010048084,0.00008632206,0.00007862142],"domain_scores_gemma":[0.9996816,0.00010225067,0.000113322436,0.000018267632,0.000054986725,0.000029609317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000105641615,0.000057869907,0.00009161875,0.000003505168,0.0002787969,0.00001132026,0.00006215621,0.00004437847,0.00003534553],"category_scores_gemma":[0.000017365017,0.000017773153,0.000025218254,0.00008712949,0.00009957666,0.000034997534,0.000048999627,0.00009853513,1.2521342e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006206313,0.00006462506,0.00041588632,0.000009618866,0.000006358651,1.854556e-7,0.00012273167,6.980243e-7,0.99509573,0.002645669,0.0008218997,0.00075451337],"study_design_scores_gemma":[0.0004895386,0.001761522,0.94016284,0.000014543348,0.000024221858,0.000045004188,0.0021748112,0.00013893013,0.021061227,0.002928291,0.03102945,0.0001696391],"about_ca_topic_score_codex":0.000066388275,"about_ca_topic_score_gemma":0.00013355176,"teacher_disagreement_score":0.97403455,"about_ca_system_score_codex":0.0000057838397,"about_ca_system_score_gemma":0.000002486361,"threshold_uncertainty_score":0.21443087},"labels":[],"label_agreement":null},{"id":"W4283386777","doi":"10.3390/agriculture12070915","title":"Early Plant Development in Intermediate Wheatgrass","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Manitoba","funders":"","keywords":"Seedling; Biology; Tiller (botany); Agronomy; Outcrossing; Horticulture; Specific leaf area; Crop; Botany","score_opus":0.009933664252502524,"score_gpt":0.16943141063016476,"score_spread":0.15949774637766223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283386777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956883,0.00019268505,8.027989e-7,0.0026656599,0.00031685093,0.00014363496,0.000014885225,0.00005981851,0.00091731816],"genre_scores_gemma":[0.9970319,0.000017218665,0.000027674301,0.0004687087,0.00009517957,0.00010921575,0.0001722491,4.3913053e-7,0.002077368],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991427,0.000051468945,0.00014350137,0.0002510813,0.00021214115,0.00019909136],"domain_scores_gemma":[0.99985677,0.000012500744,0.000037325517,0.000034828496,0.000012399317,0.000046164416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014183974,0.00009517377,0.00009419234,0.000013085785,0.00022201346,0.000028966975,0.00020594674,0.00002942787,0.0007821335],"category_scores_gemma":[0.0000046768687,0.000031734402,0.000042821146,0.0003535918,0.00001152566,0.00005237008,0.0002076877,0.00016436413,0.000030954932],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022182576,0.0018730379,0.022932615,0.000035896326,0.00019799112,0.00024443594,0.00451661,0.0014364,0.13351801,0.02652578,0.35485446,0.45364293],"study_design_scores_gemma":[0.000093476556,0.00006821322,0.28453162,0.0000034357702,0.000002336926,0.000006006751,0.00045457916,0.000002667773,0.0006814389,0.00016344506,0.7138706,0.00012219156],"about_ca_topic_score_codex":0.00025963775,"about_ca_topic_score_gemma":0.0010298792,"teacher_disagreement_score":0.45352075,"about_ca_system_score_codex":0.00006803184,"about_ca_system_score_gemma":0.0000041429053,"threshold_uncertainty_score":0.8563813},"labels":[],"label_agreement":null},{"id":"W4283710404","doi":"10.3390/agriculture12070933","title":"Novel Hybrid Statistical Learning Framework Coupled with Random Forest and Grasshopper Optimization Algorithm to Forecast Pesticide Use on Golf Courses","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Support vector machine; Random forest; Pruning; Tree (set theory); Machine learning; Computer science; Mean squared error; Artificial intelligence; Decision tree; Algorithm; Data mining; Mathematics; Statistics","score_opus":0.013380266429359954,"score_gpt":0.21304071912022957,"score_spread":0.1996604526908696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283710404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74627566,0.000045389534,0.2419918,0.009216141,0.00032479508,0.0013800231,0.0003386183,0.00018048882,0.0002471002],"genre_scores_gemma":[0.98030496,0.000019656318,0.016487768,0.0012537949,0.00020654591,0.00012784702,0.000764108,0.0000029868668,0.0008323281],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882543,0.00007890454,0.00015189427,0.00034088263,0.00036491815,0.00023794213],"domain_scores_gemma":[0.9991534,0.00045068213,0.00010382917,0.00004158414,0.0001284814,0.00012202318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016504967,0.00016748544,0.0001605341,0.000014059674,0.00063623383,0.00024428597,0.00011201765,0.000035631583,0.0003093085],"category_scores_gemma":[0.00017876997,0.000058406018,0.000027793829,0.00025878777,0.000027721628,0.00019343862,0.0001107001,0.0002883022,0.0000071032423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044251038,0.00029217885,0.006533592,0.000008181131,0.000066415756,0.000040634215,0.00021669417,0.967695,0.000625262,0.0021921592,0.00710593,0.014781433],"study_design_scores_gemma":[0.003907649,0.007894246,0.30186978,0.00019379305,0.00045676946,0.000264877,0.0076036924,0.3591891,0.0001585499,0.00089838926,0.31558725,0.0019759017],"about_ca_topic_score_codex":0.00029246905,"about_ca_topic_score_gemma":0.00013772596,"teacher_disagreement_score":0.6085059,"about_ca_system_score_codex":0.00003482724,"about_ca_system_score_gemma":0.0000044883373,"threshold_uncertainty_score":0.48934603},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.009252900966838755,"score_gpt":0.2416292306897176,"score_spread":0.23237632972287883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285012945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966758,0.0014789545,0.00007076613,0.00001664125,0.000017816754,0.000042588763,0.000025378868,0.000023658213,0.0016484243],"genre_scores_gemma":[0.99941134,0.000021829175,0.00025903294,0.000018679122,0.00006997211,0.000013104576,0.000020276831,0.000007813525,0.00017792374],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993296,0.000017172944,0.00018396803,0.00018431025,0.00014484927,0.00014006418],"domain_scores_gemma":[0.9997123,0.000015382566,0.00014224956,0.00007317092,0.000033440254,0.000023488235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007324526,0.00010822509,0.00019176076,0.00007010403,0.00012489343,0.000030434348,0.000088736306,0.00006775439,0.00041184333],"category_scores_gemma":[0.000028997743,0.0000811303,0.00003080217,0.0004968737,0.000027816108,0.00009339339,0.00006974034,0.00015246683,2.7691468e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001838845,0.000039069037,0.0011531563,0.00013555092,0.000015734578,0.000005266841,0.00023066015,0.000030827487,0.99806905,0.0000145560925,0.00003147597,0.00025626505],"study_design_scores_gemma":[0.00020836682,0.000014349695,0.0016567991,0.000018078854,0.000059295147,0.000049279057,0.0021002472,0.00005006067,0.9953961,0.000268382,0.00006819562,0.00011088666],"about_ca_topic_score_codex":0.00016799642,"about_ca_topic_score_gemma":0.000009861531,"teacher_disagreement_score":0.0027355966,"about_ca_system_score_codex":0.00006457189,"about_ca_system_score_gemma":0.000014254308,"threshold_uncertainty_score":0.45093957},"labels":[],"label_agreement":null},{"id":"W4285393323","doi":"10.3390/agriculture12071012","title":"Key Region Extraction and Body Dimension Measurement of Beef Cattle Using 3D Point Clouds","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Effects of Environmental Stressors on Livestock","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Girth (graph theory); Point cloud; Beef cattle; Dimension (graph theory); Boundary (topology); Mathematics; Key (lock); Segmentation; Computer science; Animal science; Biology; Artificial intelligence; Ecology; Combinatorics","score_opus":0.018900570440426142,"score_gpt":0.21231911103418577,"score_spread":0.19341854059375962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285393323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980387,0.00078523625,0.0000039586675,0.0005931412,0.000107689506,0.00026498546,0.000015143901,0.000024275274,0.00016683342],"genre_scores_gemma":[0.9995332,0.00004564784,0.0001560869,0.00006133775,0.000088211695,0.000016171725,0.00003603118,0.0000010327875,0.00006228454],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989116,0.000116819654,0.00015152665,0.00024993374,0.00041547493,0.00015462619],"domain_scores_gemma":[0.9996664,0.00004129725,0.00015009759,0.000046928042,0.000031759762,0.00006352637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016794748,0.00012446281,0.0001364983,0.000006864024,0.00032836662,0.000014184628,0.00010049055,0.00005689336,0.00010366495],"category_scores_gemma":[0.000017278853,0.00004769015,0.000055113556,0.000153625,0.000037509213,0.00011429015,0.00015356354,0.00015296688,0.0000021235185],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026374857,0.000146496,0.0044243904,0.00000718832,0.000011291274,0.0000037468556,0.00007160666,0.00022872983,0.9911204,0.000038027996,0.001221546,0.0027002075],"study_design_scores_gemma":[0.00028372576,0.0010329528,0.9239235,0.000052676263,0.000063421714,0.00014335838,0.001145217,0.00008532718,0.062738694,0.00013512454,0.010078475,0.00031751793],"about_ca_topic_score_codex":0.0006318892,"about_ca_topic_score_gemma":0.00007800999,"teacher_disagreement_score":0.9283817,"about_ca_system_score_codex":0.00012675062,"about_ca_system_score_gemma":0.0000028322804,"threshold_uncertainty_score":0.25255638},"labels":[],"label_agreement":null},{"id":"W4286213075","doi":"10.3390/agriculture12071058","title":"Assessment of Water Productivity Enhancement and Sustainability Potential of Different Resource Conservation Technologies: A Review in the Context of Pakistan","year":2022,"lang":"en","type":"review","venue":"Agriculture","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Context (archaeology); Agriculture; Productivity; Irrigation; Water conservation; Sustainability; Water scarcity; Resource (disambiguation); Environmental science; Water use; Agricultural productivity; Water resources; Business; Agricultural economics; Natural resource economics; Water resource management; Economics; Geography; Agronomy; Economic growth; Ecology","score_opus":0.0236551474051946,"score_gpt":0.29612403107672164,"score_spread":0.27246888367152705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286213075","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013236688,0.97689044,0.0000015178189,0.00601328,0.000039577102,0.0035060141,0.0000720002,0.000014206841,0.00022627843],"genre_scores_gemma":[0.11510711,0.8841433,0.000006605299,0.000050882114,0.000013019561,0.00026672252,0.00035053887,7.5787057e-7,0.00006108748],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99780965,0.00061253546,0.0007303414,0.0003197188,0.0003799736,0.00014776381],"domain_scores_gemma":[0.99875116,0.0001851244,0.00076764694,0.00015515175,0.00012971021,0.000011210063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011154697,0.00020431417,0.00084922445,0.000018982679,0.00006922082,0.000015194768,0.000357113,0.000096263255,0.00007693276],"category_scores_gemma":[0.00007120275,0.000048525366,0.00017870031,0.00036517368,0.00010097261,0.00006863175,0.00028339992,0.00026185895,1.0513463e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010600054,0.0007145755,0.00019232661,0.048123088,0.000104154846,0.0000033072056,0.00027247838,4.3833418e-7,0.00052606757,0.0020313626,0.0009227872,0.9470988],"study_design_scores_gemma":[0.00006185312,0.00027252242,0.0020787779,0.0024294097,0.0003057157,0.0000037923317,0.0048440928,4.6336444e-7,0.000117193216,0.00017838877,0.9895791,0.0001287086],"about_ca_topic_score_codex":0.00024350188,"about_ca_topic_score_gemma":0.000100368874,"teacher_disagreement_score":0.9886563,"about_ca_system_score_codex":0.000079596415,"about_ca_system_score_gemma":0.000015892856,"threshold_uncertainty_score":0.1978807},"labels":[],"label_agreement":null},{"id":"W4287009756","doi":"10.3390/agriculture12081090","title":"Development of Data-Driven Models to Predict Biogas Production from Spent Mushroom Compost","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Prince of Songkla University","keywords":"Biogas; Compost; Support vector machine; Mathematics; Mushroom; Kernel (algebra); Coefficient of determination; Mean squared error; Biogas production; Straw; Gaussian function; Gaussian; Biological system; Anaerobic digestion; Statistics; Agronomy; Chemistry; Food science; Computer science; Machine learning; Methane; Biology; Engineering; Waste management; Combinatorics","score_opus":0.03218378850233484,"score_gpt":0.2132799817926038,"score_spread":0.18109619329026896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287009756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868484,0.0003222739,0.0060453922,0.0016837944,0.002103576,0.000786139,0.00053978706,0.0005211509,0.0011494684],"genre_scores_gemma":[0.980029,0.000023284829,0.017084552,0.000036482375,0.00026844558,0.00003297112,0.0022783815,0.000011841049,0.00023503172],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99911374,0.000016687916,0.00020737467,0.00028942392,0.00025296485,0.000119838965],"domain_scores_gemma":[0.99956745,0.000003340912,0.000039309427,0.0002874505,0.000047353824,0.000055115903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008499086,0.00011411133,0.0001193605,0.000047777186,0.00011473587,0.000011737071,0.0002640195,0.000032555934,0.00011129323],"category_scores_gemma":[0.000003951639,0.00009000036,0.000021414313,0.0002765554,0.000008691333,0.00020019696,0.00020557024,0.00012755941,0.00002433315],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023748918,0.00017203257,0.000091190166,0.000013506987,0.00013615143,0.0000024698695,0.002865851,0.64820445,0.14666176,0.0019001985,0.19339165,0.0065370062],"study_design_scores_gemma":[0.00031097815,0.00006736165,0.006288674,0.00004661299,0.000058718986,0.000016303511,0.0025430275,0.00564345,0.046663173,0.00011448197,0.93781614,0.00043110023],"about_ca_topic_score_codex":0.000042225587,"about_ca_topic_score_gemma":0.0000715769,"teacher_disagreement_score":0.74442446,"about_ca_system_score_codex":0.000108705055,"about_ca_system_score_gemma":0.0000191291,"threshold_uncertainty_score":0.3670108},"labels":[],"label_agreement":null},{"id":"W4290466026","doi":"10.3390/agriculture12081164","title":"Effects of Irrigation Method and Water Flow Rate on Irrigation Performance, Soil Salinity, Yield, and Water Productivity of Cauliflower","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Irrigation; Environmental science; Surface irrigation; Yield (engineering); Agronomy; Productivity; Water-use efficiency; Salinity; Deficit irrigation; Water use; Drip irrigation; Field experiment; Arid; Irrigation management; Biology; Ecology","score_opus":0.011002476480648019,"score_gpt":0.20926062855092198,"score_spread":0.19825815207027397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290466026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963218,0.000032729004,0.000008124075,0.0026020722,0.00015081457,0.0003974839,0.0000145079675,0.000018591672,0.00045388364],"genre_scores_gemma":[0.9988579,0.000021959162,0.00008731522,0.00016373268,0.00008768993,0.00004704049,0.00014301657,0.0000011480348,0.0005901892],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989147,0.00020305083,0.000204926,0.00027712213,0.00023857015,0.00016163771],"domain_scores_gemma":[0.9995956,0.00011631103,0.000114001254,0.00004998175,0.00008556564,0.000038570895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065012905,0.00013187827,0.00017813592,0.000018284969,0.0002691308,0.00003112177,0.00008647952,0.000053945536,0.00010068874],"category_scores_gemma":[0.000020388601,0.000038900598,0.00003953452,0.00012904759,0.000034826357,0.00025453148,0.0001752012,0.00014923658,0.0000034402863],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010258551,0.00015792753,0.00092338916,0.00016503638,0.000036947607,0.0000017172471,0.0010003308,0.0007144111,0.9772693,0.00019471074,0.00040933804,0.019024331],"study_design_scores_gemma":[0.0002674095,0.00065389933,0.12906194,0.000028957866,0.00006818797,0.000006596843,0.00026930115,0.0002661467,0.8611705,0.0012497436,0.006783569,0.00017379748],"about_ca_topic_score_codex":0.00016582449,"about_ca_topic_score_gemma":0.000040335202,"teacher_disagreement_score":0.12813854,"about_ca_system_score_codex":0.000013367677,"about_ca_system_score_gemma":0.0000018024208,"threshold_uncertainty_score":0.20699638},"labels":[],"label_agreement":null},{"id":"W4290467207","doi":"10.3390/agriculture12081168","title":"Combination of Sentinel-2 Satellite Images and Meteorological Data for Crop Water Requirements Estimation in Intensive Agriculture","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Crop coefficient; Environmental science; Irrigation; Water use; Evapotranspiration; Agriculture; Farm water; Context (archaeology); Water resources; Irrigation statistics; Hydrology (agriculture); Water resource management; Water conservation; Agricultural engineering; Geography; Agronomy; Engineering","score_opus":0.02068471918647446,"score_gpt":0.2513897675412457,"score_spread":0.23070504835477124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290467207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944648,0.00019176814,0.00018980786,0.0032880814,0.00015316038,0.0008486854,0.00010480658,0.000041506453,0.00071734784],"genre_scores_gemma":[0.9939231,0.0000445291,0.0030335477,0.00033680885,0.000025831863,0.000019001858,0.0019806395,0.000008369457,0.00062816165],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99834055,0.00013696885,0.0003263463,0.00053352717,0.00038951854,0.00027312178],"domain_scores_gemma":[0.99937385,0.000055207533,0.000158076,0.00028568355,0.00007686478,0.000050324532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038492156,0.00019631244,0.00024330319,0.000030926472,0.0001910588,0.000036594603,0.00036837815,0.00011019989,0.000100667],"category_scores_gemma":[0.00013845683,0.00010183294,0.000045520275,0.00030481836,0.00010112025,0.0003475287,0.00088289584,0.00024153932,0.000009815671],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007788511,0.00028033403,0.009518134,0.00004930421,0.000041971256,0.000017884127,0.0017714243,0.005129447,0.909518,0.00009027123,0.06935909,0.0041462607],"study_design_scores_gemma":[0.002621482,0.0004208639,0.8624373,0.00006408487,0.00017689636,0.0002347949,0.0032318567,0.007939953,0.07174694,0.0024534743,0.047810674,0.000861648],"about_ca_topic_score_codex":0.00011401362,"about_ca_topic_score_gemma":0.000042396856,"teacher_disagreement_score":0.8529192,"about_ca_system_score_codex":0.000119923585,"about_ca_system_score_gemma":0.0000029223772,"threshold_uncertainty_score":0.4152627},"labels":[],"label_agreement":null},{"id":"W4296336364","doi":"10.3390/agriculture12091503","title":"Effects of Farmland Landscape Fragmentation on Agricultural Irrigation in Hotan Oasis","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Fragmentation (computing); Arable land; Evapotranspiration; Irrigation; Environmental science; Agriculture; Agricultural land; Geography; Agronomy; Ecology","score_opus":0.002308195882698776,"score_gpt":0.16952580287488372,"score_spread":0.16721760699218494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296336364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956124,0.00005541516,6.9052436e-7,0.00017599929,0.00010748793,0.00023607467,0.000008699366,0.000015434327,0.0037878368],"genre_scores_gemma":[0.9996038,0.000009340112,0.00002215155,0.00010518275,0.000029885494,0.000064132364,0.00008231188,0.0000029893497,0.00008019906],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926543,0.000064520435,0.0001306204,0.00016350701,0.00025755947,0.000118331904],"domain_scores_gemma":[0.9997883,0.000034597022,0.00008471102,0.00005967298,0.0000040915284,0.000028633058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000069343536,0.000086003914,0.000104625,0.000019445582,0.00009876569,0.000010537255,0.00011424214,0.000034041335,0.00055572606],"category_scores_gemma":[0.0000035485984,0.00004883005,0.000035221576,0.00033146917,0.0000032562205,0.0001107064,0.000064069805,0.00009364886,0.000053234886],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015121119,0.0010467983,0.69442004,0.00031280058,0.000057696685,0.00004832035,0.008813338,0.06659807,0.20257565,0.00028879606,0.022452649,0.0032346128],"study_design_scores_gemma":[0.0005164918,0.00013532894,0.9878342,0.000020957454,0.000012458263,0.000004892923,0.0009273134,0.00010999844,0.009281171,0.00009117878,0.00095766457,0.00010835616],"about_ca_topic_score_codex":0.00036814506,"about_ca_topic_score_gemma":0.00066795025,"teacher_disagreement_score":0.29341415,"about_ca_system_score_codex":0.00007684704,"about_ca_system_score_gemma":0.0000015398963,"threshold_uncertainty_score":0.60848105},"labels":[],"label_agreement":null},{"id":"W4304128274","doi":"10.3390/agriculture12101657","title":"Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Prince Edward Island; Dalhousie University","funders":"","keywords":"Correlation coefficient; Mean squared error; Coefficient of determination; Mathematics; Vaccinium; Linear regression; Yield (engineering); Regression analysis; Horticulture; Environmental science; Algorithm; Statistics; Biology; Physics","score_opus":0.005214992844314699,"score_gpt":0.16962170526620696,"score_spread":0.16440671242189225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304128274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857622,0.0034766085,0.0005689229,0.00040123763,0.00027761146,0.0004182528,0.00016197644,0.0019040004,0.0070292247],"genre_scores_gemma":[0.99746734,0.0000150776605,0.0005127901,0.000013564175,0.00013058863,0.000093217786,0.000089775705,0.000023328246,0.0016543013],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99912286,0.00004460503,0.00012600374,0.00020962038,0.00023556166,0.0002613444],"domain_scores_gemma":[0.9997052,0.000064225336,0.000031600786,0.000084529136,0.000064364765,0.00005009122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000670096,0.00019006124,0.00018557168,0.000033646567,0.00048390913,0.000031340453,0.00011014455,0.000038020527,0.0000466091],"category_scores_gemma":[0.000036709458,0.00012755235,0.000041991374,0.00052122306,0.000025999365,0.000116361196,0.00007841447,0.00063422497,0.0000031255072],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009451216,0.00020123748,0.35186213,0.00025403316,0.0009940657,0.00013357087,0.01280844,0.5867975,0.004541681,0.00009435143,0.028067438,0.014151094],"study_design_scores_gemma":[0.0012729254,0.0007070608,0.7414441,0.00006981398,0.000156159,0.00024351855,0.0054397467,0.021894604,0.0020058178,0.00006607197,0.22567606,0.0010240886],"about_ca_topic_score_codex":0.00015709254,"about_ca_topic_score_gemma":0.0030330147,"teacher_disagreement_score":0.56490284,"about_ca_system_score_codex":0.00010518223,"about_ca_system_score_gemma":0.00001076698,"threshold_uncertainty_score":0.5201434},"labels":[],"label_agreement":null},{"id":"W4304759076","doi":"10.3390/agriculture12101675","title":"Soil Compaction Drives an Intra-Genotype Leaf Economics Spectrum in Wine Grapes","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Niagara College; The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Trait; Specific leaf area; Crop; Intraspecific competition; Agronomy; Ecosystem; Domestication; Agroecosystem; Arable land; Botany; Horticulture; Agriculture; Ecology; Photosynthesis","score_opus":0.020049028369956767,"score_gpt":0.23509696125938603,"score_spread":0.21504793288942928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304759076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881514,0.00016230701,1.6415373e-7,0.010261539,0.00018910189,0.00030575058,0.00007801129,0.00009626359,0.000755464],"genre_scores_gemma":[0.99712276,0.00014648042,0.000016762084,0.00033687538,0.0006546611,0.000063536274,0.00067671586,0.0000016492947,0.0009805282],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981945,0.00019918209,0.00029365433,0.00047998547,0.00028751272,0.0005451485],"domain_scores_gemma":[0.9995001,0.00007002745,0.00009162866,0.000073550014,0.000059425944,0.00020529747],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002088213,0.00023981345,0.00026473257,0.00002401158,0.00062131044,0.00013065535,0.0004287352,0.00009733225,0.0014093022],"category_scores_gemma":[0.000024311646,0.000080717444,0.00012277404,0.0007235487,0.00005460081,0.00041863948,0.0001675774,0.0005192069,0.000055476452],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017530256,0.0007136596,0.013842525,0.000012295374,0.000044343124,0.000040661274,0.001075161,0.0025592102,0.9401234,0.001952437,0.008091591,0.03136945],"study_design_scores_gemma":[0.00041601295,0.0012329209,0.8760862,0.000013060588,0.000018836248,0.00010205589,0.0084167905,0.00030483244,0.013408098,0.0013968492,0.09793115,0.00067321624],"about_ca_topic_score_codex":0.0017099014,"about_ca_topic_score_gemma":0.018944873,"teacher_disagreement_score":0.92671525,"about_ca_system_score_codex":0.0001736204,"about_ca_system_score_gemma":0.000012915736,"threshold_uncertainty_score":0.99950355},"labels":[],"label_agreement":null},{"id":"W4308178654","doi":"10.3390/agriculture12111780","title":"The Potential of Novel Gene Editing-Based Approaches in Forages and Rumen Archaea for Reducing Livestock Methane Emissions","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Agriculture and Agri-Food Canada","funders":"","keywords":"Methanogenesis; Greenhouse gas; Rumen; Archaea; Ruminant; Methane; Environmental science; Context (archaeology); Defaunation; Nitrous oxide; Climate change; Biotechnology; Agriculture; Methane emissions; Sustainability; Livestock; Biology; Natural resource economics; Agronomy; Ecology; Pasture; Food science; Fermentation; Bacteria","score_opus":0.013384669354060009,"score_gpt":0.2548118788332682,"score_spread":0.2414272094792082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308178654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97546107,0.003325415,0.019749198,0.0008318714,0.00011937622,0.00038095826,0.00008301105,0.000006091277,0.0000430233],"genre_scores_gemma":[0.9951908,0.00003318728,0.0041494137,0.000018527902,0.00015959895,0.000120801866,0.00012877499,0.000007650914,0.00019124825],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994925,0.000018558085,0.000113508606,0.0001651392,0.00007225629,0.00013798797],"domain_scores_gemma":[0.9997759,0.000022097494,0.000044813172,0.000103768754,0.000022125445,0.000031285956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016012629,0.00007840042,0.000079199956,0.000016168302,0.000120506025,0.0000068446293,0.00010341111,0.000045465327,0.0000012606926],"category_scores_gemma":[0.000051707713,0.00005165656,0.000048200964,0.00006370647,0.000024830371,0.0000011102347,0.000101024045,0.00008111369,1.4803961e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002567737,0.000044940254,0.00006243345,0.000023603332,0.000017979852,3.7373707e-7,0.00011521212,0.047944922,0.9500753,0.000029248527,0.0005530274,0.0011072587],"study_design_scores_gemma":[0.0014157929,0.0004814727,0.005675878,0.000023626037,0.000045233348,0.000040481977,0.003179574,0.008300931,0.96952593,0.00006374189,0.011005069,0.00024227818],"about_ca_topic_score_codex":0.000018015582,"about_ca_topic_score_gemma":0.0000159361,"teacher_disagreement_score":0.03964399,"about_ca_system_score_codex":0.0000058833034,"about_ca_system_score_gemma":0.000021994314,"threshold_uncertainty_score":0.21064933},"labels":[],"label_agreement":null},{"id":"W4308480420","doi":"10.3390/agriculture12111860","title":"Growth Performance, Carcass and Pork Quality Traits of Growing-Finishing Pigs with High and Low Breeding Values for Residual Feed Intake Fed Diets with Macauba (Acrocomia aculeata) Pulp as Alternative Raw Material","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Ministério da Ciência, Tecnologia e Inovação; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Biology; Animal science; Feed conversion ratio; Pulp (tooth); Food science; Body weight; Medicine","score_opus":0.015447913306819943,"score_gpt":0.22282370134440388,"score_spread":0.20737578803758394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308480420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975988,0.000043761134,8.1480016e-7,0.001358973,0.00005033878,0.00041959836,0.00039115752,0.000035452384,0.00010107152],"genre_scores_gemma":[0.99858963,0.00003974257,0.00017956564,0.00030529738,0.00028908084,0.0000809022,0.0004311537,0.0000026369732,0.00008198446],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99871945,0.00014727745,0.00022196588,0.00039006287,0.00025835467,0.00026289455],"domain_scores_gemma":[0.99937665,0.00017118092,0.00020209495,0.000028190603,0.00013242835,0.00008942862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023546771,0.0002136846,0.00034765963,0.000012393829,0.00063654716,0.000080220794,0.00018531669,0.000085504376,0.000060311046],"category_scores_gemma":[0.000018832772,0.00007689314,0.000041791573,0.00018832178,0.0001347552,0.0002294289,0.00013434734,0.00021807672,3.157778e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0048359623,0.00017464216,0.012439353,0.00019386156,0.00014643278,0.000011370739,0.0016947015,0.000016509674,0.974468,0.0027610664,0.0016085763,0.0016495276],"study_design_scores_gemma":[0.0016450031,0.006553864,0.9602422,0.00010287679,0.00006285348,0.000103243416,0.007413592,0.000014787095,0.021908145,0.0009548923,0.0005718695,0.00042666786],"about_ca_topic_score_codex":0.00061233115,"about_ca_topic_score_gemma":0.00013619974,"teacher_disagreement_score":0.9525598,"about_ca_system_score_codex":0.000021915675,"about_ca_system_score_gemma":0.0000083526675,"threshold_uncertainty_score":0.48958704},"labels":[],"label_agreement":null},{"id":"W4308788554","doi":"10.3390/agriculture12111829","title":"Genome-Wide Association Study of Leaf Rust Resistance at Seedling and Adult Plant Stages in a Global Barley Panel","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Olds College","funders":"","keywords":"Biology; Seedling; Quantitative trait locus; Genotype; Linkage disequilibrium; Heritability; Association mapping; Plant breeding; Locus (genetics); Hordeum vulgare; Genome-wide association study; Plant disease resistance; Single-nucleotide polymorphism; Horticulture; Veterinary medicine; Agronomy; Genetics; Poaceae; Gene; Medicine","score_opus":0.0126844554246468,"score_gpt":0.19666648452151655,"score_spread":0.18398202909686975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308788554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973202,0.00056941004,6.342527e-8,0.0011011973,0.00005977796,0.00023760552,0.00033256708,0.0000136992885,0.00036547607],"genre_scores_gemma":[0.99846166,0.00012062207,0.000012686536,0.00014356509,0.00006801162,0.00002619447,0.00017134233,5.012773e-7,0.0009953972],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897105,0.00013879465,0.0002021153,0.00025199977,0.00023163033,0.00020440694],"domain_scores_gemma":[0.9996418,0.00010013154,0.00012465658,0.000035182606,0.000056380355,0.000041852498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019372028,0.00010855405,0.00018745795,0.0000068917093,0.00024413367,0.000019168683,0.00013352955,0.00007198922,0.00007642362],"category_scores_gemma":[0.000037863578,0.000042678417,0.000033885848,0.00030737926,0.00001130967,0.000027748973,0.00015809355,0.00012759809,0.0000015277764],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059218237,0.0002331351,0.9336057,0.0000076355955,0.00001500649,0.000021876544,0.0009468752,0.00006663013,0.06313847,0.000038306287,0.0016457568,0.00022139748],"study_design_scores_gemma":[0.0002843424,0.00033404786,0.9869964,0.000004957803,0.00001331727,0.0000037980521,0.0056075607,0.0000012932971,0.00017863535,0.00006915303,0.0063879285,0.00011856848],"about_ca_topic_score_codex":0.00040799708,"about_ca_topic_score_gemma":0.021301037,"teacher_disagreement_score":0.062959835,"about_ca_system_score_codex":0.00010604249,"about_ca_system_score_gemma":0.0000040835585,"threshold_uncertainty_score":0.99655765},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.010873121238767165,"score_gpt":0.22000168764365508,"score_spread":0.20912856640488792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311521180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99061114,0.00042639696,0.004471412,0.001768064,0.0003523377,0.0006568868,0.00006394263,0.000097645665,0.0015521861],"genre_scores_gemma":[0.5271414,0.000030917792,0.45674908,0.0021099246,0.0015826594,0.00004676829,0.0005934359,0.000079619895,0.011666189],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99853486,0.00015063216,0.0002658244,0.00037449,0.0003384222,0.0003357539],"domain_scores_gemma":[0.9994125,0.00012025813,0.00023271963,0.00012965579,0.00003718048,0.00006770493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032608377,0.00019481617,0.0002491204,0.000018992429,0.000505052,0.000033056363,0.00015594077,0.00007044272,0.0001694823],"category_scores_gemma":[0.00004021142,0.00013928024,0.00011827907,0.00052339776,0.00010516487,0.00018760498,0.0004235327,0.0002134774,0.0000074881573],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036310325,0.00005473798,0.0070022773,0.000041947365,0.000052368894,0.0000102875865,0.00047738757,0.077285424,0.78363305,0.000060168106,0.1311014,0.00024462558],"study_design_scores_gemma":[0.0017443331,0.00012887329,0.58336115,0.00009148901,0.0003443874,0.002701873,0.0021375252,0.2566498,0.0051456685,0.0015536435,0.14457014,0.0015711256],"about_ca_topic_score_codex":0.00006466571,"about_ca_topic_score_gemma":0.0000028242139,"teacher_disagreement_score":0.7784874,"about_ca_system_score_codex":0.00009463648,"about_ca_system_score_gemma":0.000008848228,"threshold_uncertainty_score":0.5679683},"labels":[],"label_agreement":null},{"id":"W4311719745","doi":"10.3390/agriculture12122092","title":"The Effect of Peat Moss Amended with Three Engineered Wood Substrate Components on Suppression of Damping-Off Caused by Rhizoctonia solani","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Plant Disease Resistance and Genetics","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lallemand (Canada)","funders":"U.S. Department of Agriculture","keywords":"Perlite; Peat; Damping off; Sphagnum; Rhizoctonia solani; Horticulture; Moss; Substrate (aquarium); Rhizoctonia; Materials science; Botany; Biology; Biological pest control; Ecology","score_opus":0.006408689240906288,"score_gpt":0.18207488504626562,"score_spread":0.17566619580535933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311719745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99745625,0.00096877635,4.171813e-7,0.00028705318,0.000056580775,0.00032669332,0.000773928,0.000024083065,0.00010622948],"genre_scores_gemma":[0.99903536,0.0000924218,0.0000026944988,0.000018644274,0.000032438522,0.000035580033,0.00065380544,0.0000012642367,0.0001277813],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988306,0.00011889393,0.0001749597,0.00020952901,0.0004320648,0.00023393393],"domain_scores_gemma":[0.9994232,0.00023612764,0.00014847024,0.00008330731,0.000039987324,0.00006887509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011498681,0.00017479199,0.00022577924,0.0000053902922,0.00031034317,0.000021980717,0.00031851765,0.000054265493,0.000035047793],"category_scores_gemma":[0.0000083451,0.000045319764,0.0000841269,0.0002582135,0.00004094676,0.000028675377,0.000055747372,0.00016317594,0.0000016991842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048433352,0.000100563135,0.0048215264,0.000021117068,0.000065926026,0.00000747483,0.000042451124,0.00030688374,0.9856599,0.000021448577,0.007554678,0.00091370975],"study_design_scores_gemma":[0.0012063805,0.0034729035,0.4614817,0.00013090868,0.000120336095,0.000010424663,0.00035985908,0.00010461549,0.5140453,0.000049612732,0.018617414,0.00040056862],"about_ca_topic_score_codex":0.0000447162,"about_ca_topic_score_gemma":0.00025895383,"teacher_disagreement_score":0.4716146,"about_ca_system_score_codex":0.00001798247,"about_ca_system_score_gemma":0.0000051349384,"threshold_uncertainty_score":0.23869401},"labels":[],"label_agreement":null},{"id":"W4311945098","doi":"10.3390/agriculture12122168","title":"The Effect of Increasing Dietary Manganese from an Organic Source on the Reproductive Performance of Sows","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Weaning; Lactation; Animal science; Randomized block design; Biology; Parity (physics); Pregnancy; Agronomy","score_opus":0.008078862006144119,"score_gpt":0.19216344500448487,"score_spread":0.18408458299834074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311945098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971843,0.00024410251,1.9140824e-8,0.0021714412,0.000053262444,0.00018646786,0.00004554782,0.000015997954,0.000098911594],"genre_scores_gemma":[0.99937594,0.000037034704,0.0000018472679,0.00017551401,0.0002209676,0.000019677214,0.000094856616,6.619265e-7,0.000073513445],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99885356,0.00055679947,0.0001237574,0.00019158315,0.00016174903,0.00011253425],"domain_scores_gemma":[0.9990602,0.0006626102,0.00012635883,0.00008925578,0.0000390594,0.000022522738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032081763,0.0000921145,0.00013545653,0.0000025425136,0.0005519324,0.000008023363,0.00031332095,0.000035206835,0.00025654188],"category_scores_gemma":[0.000058793394,0.000019893465,0.00007212182,0.00023901838,0.00008138003,0.000038295104,0.0001008394,0.0002012319,0.0000045577976],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051015156,0.000058819187,0.006054346,0.0000037351585,0.000019796533,4.1039937e-7,0.00028686813,0.000020814818,0.98839396,0.000052434098,0.001312915,0.003285747],"study_design_scores_gemma":[0.00011924249,0.0038637242,0.93158996,0.000013769391,0.000022861364,0.000009059828,0.0032494874,0.000026890433,0.053694885,0.00014408458,0.0071575325,0.00010849118],"about_ca_topic_score_codex":0.00047269897,"about_ca_topic_score_gemma":0.000071678114,"teacher_disagreement_score":0.93469906,"about_ca_system_score_codex":0.000010162594,"about_ca_system_score_gemma":0.0000018825759,"threshold_uncertainty_score":0.42450735},"labels":[],"label_agreement":null},{"id":"W4312205635","doi":"10.3390/agriculture13010056","title":"Optimal Path Generation with Obstacle Avoidance and Subfield Connection for an Autonomous Tractor","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Korea Institute of Industrial Technology","keywords":"Tractor; Tree traversal; Path (computing); Computer science; Field (mathematics); Range (aeronautics); Obstacle; Process (computing); Mathematical optimization; Mathematics; Algorithm; Engineering; Automotive engineering; Aerospace engineering","score_opus":0.019352627415342466,"score_gpt":0.22222784105164958,"score_spread":0.20287521363630712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312205635","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43682536,0.00016970432,0.5612576,0.0007071016,0.00038831183,0.00036936215,0.000021455307,0.00017971067,0.00008137924],"genre_scores_gemma":[0.81419516,0.0000019423153,0.18486656,0.00020422571,0.00019529958,0.00014160792,0.00006741106,0.0000060023854,0.00032178135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921346,0.00004864034,0.00009378728,0.0003322472,0.0001518225,0.00016002262],"domain_scores_gemma":[0.99960476,0.000040491133,0.00007240149,0.00016236132,0.000059442213,0.00006057187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012898826,0.00010048217,0.00009386162,0.000020786068,0.00039761208,0.00011724662,0.00020142461,0.000040571456,0.0000030660476],"category_scores_gemma":[0.00001235963,0.00007147652,0.000018390007,0.00015063773,0.000010085798,0.0003910813,0.00004688075,0.00014339591,7.245249e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001080235,0.00082602137,0.0015493091,0.000065543,0.000110338995,0.00013564211,0.021661855,0.7242849,0.14115891,0.018425608,0.04659412,0.045079757],"study_design_scores_gemma":[0.0010301035,0.0028503893,0.018540422,0.000011197365,0.000024435061,0.0008407399,0.0009923574,0.95996684,0.0061463136,0.00011099608,0.008950066,0.00053611945],"about_ca_topic_score_codex":0.000028575623,"about_ca_topic_score_gemma":0.000006441568,"teacher_disagreement_score":0.3773698,"about_ca_system_score_codex":0.00004280874,"about_ca_system_score_gemma":0.000033424916,"threshold_uncertainty_score":0.3058151},"labels":[],"label_agreement":null},{"id":"W4313826442","doi":"10.3390/agriculture13010155","title":"Internet and Computers for Agriculture","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"NorQuest College","funders":"","keywords":"Agriculture; The Internet; Information and Communications Technology; Business; Agricultural economics; Agricultural science; Telecommunications; Computer science; Geography; World Wide Web; Environmental science; Economics; Archaeology","score_opus":0.018277347038157987,"score_gpt":0.19692303828043184,"score_spread":0.17864569124227386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313826442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863611,0.0004004757,0.000015465484,0.010179562,0.0005364665,0.0006865387,0.00013377013,0.0006228655,0.0010637797],"genre_scores_gemma":[0.9858843,0.00016290181,0.00025909385,0.0013048323,0.0019496508,0.00015251744,0.001592287,0.0000023477878,0.00869205],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99870616,0.0000305729,0.00019612319,0.0004568458,0.00018293234,0.0004273504],"domain_scores_gemma":[0.9993536,0.00023631651,0.00007549777,0.000045665918,0.00012621595,0.00016272163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012554806,0.00025670443,0.00024130542,0.0000134748,0.00023035369,0.00014332046,0.00025577928,0.00022056444,0.000049988565],"category_scores_gemma":[0.000035880803,0.00006959346,0.00015468658,0.0007443097,0.00003788232,0.00015279754,0.00012041639,0.00014610401,0.000113716465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012537681,0.000036025183,0.0023093221,0.000017109724,0.000036409874,0.000006815347,0.00020975733,0.0000054019742,0.18030603,0.0014713149,0.7999987,0.015590561],"study_design_scores_gemma":[0.00025075622,0.00021068031,0.30089417,0.000041789495,0.0000312511,0.000038849368,0.00079778547,0.000051468913,0.0040268465,0.00053235807,0.69274664,0.0003773868],"about_ca_topic_score_codex":0.000075675795,"about_ca_topic_score_gemma":0.00036486352,"teacher_disagreement_score":0.29858485,"about_ca_system_score_codex":0.0000145423,"about_ca_system_score_gemma":0.0000025260358,"threshold_uncertainty_score":0.28379387},"labels":[],"label_agreement":null},{"id":"W4318481047","doi":"10.3390/agriculture13020326","title":"Prairie Agroecosystems: Interconnected Microbiomes of Livestock, Soil and Insects","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Insect symbiosis and bacterial influences","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Government of Canada; Government of Alberta","keywords":"Microbiome; Agroecosystem; Biology; Agriculture; Livestock; Ecology; Nutrient cycle; Sustainable agriculture; Agroforestry; Ecosystem","score_opus":0.011744551886111787,"score_gpt":0.19673259965925421,"score_spread":0.18498804777314243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318481047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976465,0.00022095472,5.3194785e-8,0.0012455784,0.00020361479,0.00018966738,0.000086460546,0.00012847687,0.00027868932],"genre_scores_gemma":[0.9991282,0.00007016481,0.000011082214,0.0001082477,0.00022227236,0.000015666794,0.00013791077,8.260593e-7,0.00030560858],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991043,0.00006690605,0.00023980353,0.00025002265,0.00010887142,0.00023009261],"domain_scores_gemma":[0.99951726,0.00012855226,0.00013116686,0.00004154719,0.00011507053,0.00006640613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012654805,0.00015372383,0.00023422799,0.00001961942,0.0001305708,0.000060450737,0.00017122697,0.00014588484,0.000084692256],"category_scores_gemma":[0.00004344169,0.000047171718,0.0000757738,0.0006448372,0.00006447493,0.00013673355,0.00009389386,0.000079811456,0.00004583407],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010196802,0.000029331837,0.0036462853,0.000030866886,0.0000203185,0.000003214449,0.00030881926,4.437781e-7,0.9849338,0.00014684375,0.008901528,0.001968357],"study_design_scores_gemma":[0.00018657964,0.00047338492,0.79364455,0.00018499843,0.000020682624,0.00003404545,0.0017147494,0.0000049833443,0.1789812,0.00020033654,0.02424544,0.0003090463],"about_ca_topic_score_codex":0.0007098462,"about_ca_topic_score_gemma":0.0017338283,"teacher_disagreement_score":0.8059526,"about_ca_system_score_codex":0.000008336939,"about_ca_system_score_gemma":0.0000050907074,"threshold_uncertainty_score":0.19236068},"labels":[],"label_agreement":null},{"id":"W4318777674","doi":"10.3390/agriculture13020350","title":"Improved Management of Grassland to Promote Sustainable Use Based on Farm Size","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto; University of New Brunswick","funders":"Inner Mongolia University; Inner Mongolia University of Science and Technology","keywords":"Grassland; Overgrazing; Business; Agroforestry; Livestock; China; Grazing; Grassland degradation; Resource (disambiguation); Environmental resource management; Geography; Environmental science; Ecology; Forestry","score_opus":0.004756453551741213,"score_gpt":0.1933223708654601,"score_spread":0.1885659173137189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318777674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97566,0.0000021718936,0.00008370875,0.0013135512,0.00007736027,0.0010198829,0.0000055417304,0.00009330911,0.021744443],"genre_scores_gemma":[0.90023047,0.000009310295,0.0008156583,0.000210569,0.000020477108,0.00011537253,0.000022553135,0.00000881997,0.09856678],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9991462,0.000019669169,0.00010921959,0.0002541229,0.0001622634,0.00030852525],"domain_scores_gemma":[0.99966604,0.000031762807,0.00004238669,0.00018230372,0.000009357127,0.00006816802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011949548,0.00011433614,0.00011103456,0.00003196284,0.000081754086,0.0000226423,0.00017582311,0.00005085895,0.00026342255],"category_scores_gemma":[0.000019500716,0.00007338842,0.00004443085,0.0005961071,0.000019203384,0.000054953725,0.00018734467,0.000055206165,0.0002318931],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045795573,0.0011810212,0.108244084,0.0006604857,0.0002866653,0.00076034415,0.001190572,0.032363728,0.042635553,0.007822953,0.7799599,0.024436705],"study_design_scores_gemma":[0.00049014983,0.00028855368,0.8189082,0.000015115479,0.000028102086,3.4367477e-7,0.0004064189,0.00036040676,0.00056569115,0.00014489861,0.17864084,0.00015124962],"about_ca_topic_score_codex":0.00018022567,"about_ca_topic_score_gemma":0.00016105968,"teacher_disagreement_score":0.71066415,"about_ca_system_score_codex":0.0000540865,"about_ca_system_score_gemma":0.0000016686269,"threshold_uncertainty_score":0.2992693},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.021289439647366643,"score_gpt":0.20231694493377148,"score_spread":0.18102750528640482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318834068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972526,0.0006796569,0.000117861964,0.0010211057,0.000076544864,0.00019532461,0.000016612079,0.0002349604,0.00040534453],"genre_scores_gemma":[0.997713,0.00023961536,0.000029675539,0.000027629185,0.00023921845,0.000026049687,0.0006475548,0.0000011835414,0.0010760163],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990228,0.00010075779,0.0001877663,0.00026650407,0.00022735995,0.00019482282],"domain_scores_gemma":[0.999684,0.000088320965,0.00006106245,0.000020073963,0.000067713954,0.000078827645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012581916,0.00015379547,0.0001585106,0.000011811341,0.0003325323,0.000045505476,0.000075519485,0.00011357488,0.00013580568],"category_scores_gemma":[0.00004549235,0.00005196316,0.00011270091,0.00058621715,0.000043476237,0.00020173237,0.00003412012,0.00021619855,0.000032627147],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012943827,0.00023809621,0.086336724,0.00017976666,0.0001375781,0.000016836311,0.0016077288,0.00357715,0.8099869,0.001980175,0.0011039793,0.09470562],"study_design_scores_gemma":[0.0003179393,0.00022376767,0.92954016,0.00005272887,0.000076415796,0.000015073486,0.00157573,0.0037482744,0.008734033,0.00047155155,0.054915376,0.00032894913],"about_ca_topic_score_codex":0.00006170474,"about_ca_topic_score_gemma":0.0002299792,"teacher_disagreement_score":0.8432034,"about_ca_system_score_codex":0.000010268829,"about_ca_system_score_gemma":0.0000023376838,"threshold_uncertainty_score":0.2557603},"labels":[],"label_agreement":null},{"id":"W4319082356","doi":"10.3390/agriculture13020368","title":"Traceability, Value, and Trust in the Coffee Market: A Natural Experiment in Ethiopia","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Traceability; Business; Grading (engineering); Commodity; Value (mathematics); Commerce; Agricultural economics; Agricultural science; Economics; Mathematics; Statistics; Finance","score_opus":0.013422033379408498,"score_gpt":0.25598570928249154,"score_spread":0.24256367590308303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319082356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9791829,0.00043992678,1.1569657e-7,0.00908418,0.0002022299,0.0005496855,0.000002503058,0.00009417843,0.010444269],"genre_scores_gemma":[0.99798405,0.000027760892,0.0000058486457,0.0012867281,0.00035110232,0.00003560369,0.000019228728,0.000006528647,0.0002831728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988695,0.000066107925,0.00019728528,0.0002580102,0.00025762824,0.00035149293],"domain_scores_gemma":[0.99965906,0.000085800726,0.000050473638,0.0001398909,0.000053124662,0.000011644788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075889134,0.00016808473,0.00018237265,0.00008361867,0.00013202967,0.00024902227,0.00022106903,0.00012140333,0.00002623823],"category_scores_gemma":[0.0002595518,0.00009465788,0.00006612148,0.0011866415,0.000067881614,0.00041681202,0.000098836485,0.00031456834,0.000014503141],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018196226,0.0009261793,0.7599452,0.0009253566,0.000054718374,0.00024824176,0.04318576,0.00012475195,0.0005398849,0.054365635,0.13577485,0.0037274314],"study_design_scores_gemma":[0.0004499067,0.00000805217,0.9363064,0.000026219677,0.000012740688,0.0000014420393,0.04826249,0.00022785079,0.0000040402842,0.0065531363,0.007992666,0.0001550594],"about_ca_topic_score_codex":0.0019069093,"about_ca_topic_score_gemma":0.0011019357,"teacher_disagreement_score":0.17636116,"about_ca_system_score_codex":0.00007645317,"about_ca_system_score_gemma":0.0000124156095,"threshold_uncertainty_score":0.38600364},"labels":[],"label_agreement":null},{"id":"W4321459998","doi":"10.3390/agriculture13020505","title":"Competitive Positioning of Mexican Pork in Japan","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Position (finance); Revealed comparative advantage; Comparative advantage; Competitive advantage; Market share; International trade; Marketing","score_opus":0.009978371532023697,"score_gpt":0.20159902013739306,"score_spread":0.19162064860536937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321459998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87159055,0.000041782943,0.0000032939172,0.0013170325,0.00013787141,0.00011537326,0.00000597151,0.000104477374,0.12668364],"genre_scores_gemma":[0.9989664,0.0000073866827,0.000017482624,0.00039277566,0.00028057487,0.000010034567,0.00011367832,0.0000052689265,0.00020638191],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994016,0.0000065285844,0.00013712251,0.00014355795,0.00014083856,0.00017032972],"domain_scores_gemma":[0.9997408,0.000019078496,0.00007547562,0.00006806421,0.00009018963,0.0000064231585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007975522,0.00009207214,0.00014003034,0.000103111466,0.000053709133,0.00004241128,0.00013002206,0.000046943656,0.00006843085],"category_scores_gemma":[0.000017065307,0.000068987676,0.000051460003,0.001194904,0.00002411492,0.00025571423,0.000067267254,0.00008380228,0.0001973676],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013541052,0.00007627672,0.15204088,0.00010015751,0.00002040787,0.000031959546,0.00012816598,0.00022498266,0.005996342,0.8382756,0.002669223,0.00042246684],"study_design_scores_gemma":[0.00024291102,0.0000066276452,0.9660462,0.00017096341,0.000012642374,0.000001707929,0.0024885337,0.00003518679,0.00037688,0.0025574772,0.027935252,0.0001256107],"about_ca_topic_score_codex":0.00048816105,"about_ca_topic_score_gemma":0.00029160274,"teacher_disagreement_score":0.8357181,"about_ca_system_score_codex":0.000012245136,"about_ca_system_score_gemma":0.0000053628587,"threshold_uncertainty_score":0.28132358},"labels":[],"label_agreement":null},{"id":"W4322740712","doi":"10.3390/agriculture13030590","title":"Differential Assessment of Strategies to Increase Milk Yield in Small-Scale Dairy Farming Systems Using Multi-Agent Modelling and Simulation","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Sustainable Agricultural Systems Analysis","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Yield (engineering); Scale (ratio); Agriculture; Heuristics; Agricultural science; Dairy farming; Simulation modeling; Business; Computer science; Environmental economics; Agricultural engineering; Environmental science; Economics; Engineering; Geography; Microeconomics; Biology; Ecology","score_opus":0.03196401882446627,"score_gpt":0.2675151456030855,"score_spread":0.23555112677861922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322740712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9809186,0.00005386133,0.018304715,0.0000322237,0.00006811107,0.0004967615,0.000007560355,0.000041735053,0.00007643709],"genre_scores_gemma":[0.99839073,0.000015364438,0.0012374818,0.0000067686,0.000048149224,0.000029580202,0.000022736729,0.0000081044245,0.0002410512],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986032,0.0000864245,0.0003747839,0.00036529443,0.00027762112,0.00029267996],"domain_scores_gemma":[0.99950516,0.00007630742,0.00013852915,0.00013309727,0.000035878104,0.00011102918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018449589,0.00018726924,0.00028863858,0.000083069426,0.00011984984,0.00009281332,0.00013142025,0.00011174987,0.000027073958],"category_scores_gemma":[0.000017610544,0.00012045543,0.00006139736,0.00092546135,0.000022553491,0.00024493184,0.00020414166,0.00011527556,0.000006755101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003396301,0.000036570975,0.054657545,0.00005850095,0.000017256069,0.00001011926,0.0009221278,0.8822441,0.061916877,0.000012036595,0.000025688485,0.000095771946],"study_design_scores_gemma":[0.00016917079,0.000018987901,0.24239355,0.000104941144,0.000043494674,0.0000029207176,0.011131866,0.74567956,0.00021541226,0.0000074471886,0.000048014354,0.00018464823],"about_ca_topic_score_codex":0.028475324,"about_ca_topic_score_gemma":0.0028508133,"teacher_disagreement_score":0.18773602,"about_ca_system_score_codex":0.00027001288,"about_ca_system_score_gemma":0.000010258859,"threshold_uncertainty_score":0.97799414},"labels":[],"label_agreement":null},{"id":"W4323318403","doi":"10.3390/agriculture13030615","title":"Automated Visual Identification of Foliage Chlorosis in Lettuce Grown in Aquaponic Systems","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Innovations in Aquaponics and Hydroponics Systems","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Chlorosis; RGB color model; Artificial intelligence; Identification (biology); Hyperspectral imaging; Precision agriculture; Aquaponics; Computer science; Computer vision; Environmental science; Agricultural engineering; Mathematics; Remote sensing; Agronomy; Agriculture; Engineering; Geography; Biology; Botany","score_opus":0.013095723714323174,"score_gpt":0.24824447648734582,"score_spread":0.23514875277302266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323318403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99776214,0.00021801563,0.0000011535453,0.00059230614,0.00035663057,0.00040423204,0.00004456351,0.00021895098,0.0004020334],"genre_scores_gemma":[0.99897695,0.000080300175,0.0000034776428,0.000021080892,0.000108836786,0.00008323002,0.00033198757,0.0000015615293,0.00039259164],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982692,0.00010754634,0.00071515347,0.00030692964,0.00028679345,0.00031438738],"domain_scores_gemma":[0.9994105,0.00010749758,0.00025042836,0.000076049924,0.00012423714,0.00003127372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007251631,0.00014893775,0.0002692968,0.00009310772,0.00008373883,0.00007000655,0.00027710936,0.00020814523,0.000017652615],"category_scores_gemma":[0.00006415516,0.00005983547,0.00006753402,0.0037113735,0.000027038375,0.00012139288,0.00005704891,0.00016685287,0.0000995854],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000095939895,0.00015008649,0.0076873223,0.000057870035,0.00001257732,0.000013325212,0.0002786444,0.0010799501,0.9755157,0.01117672,0.003374843,0.0006433153],"study_design_scores_gemma":[0.0004298675,0.00013594421,0.94182336,0.00026890167,0.000011077352,0.000013616057,0.002281773,0.038900957,0.010889846,0.00050372875,0.0042981743,0.00044276996],"about_ca_topic_score_codex":0.0014084482,"about_ca_topic_score_gemma":0.0016983505,"teacher_disagreement_score":0.9646259,"about_ca_system_score_codex":0.00008632723,"about_ca_system_score_gemma":0.000011344082,"threshold_uncertainty_score":0.24400197},"labels":[],"label_agreement":null},{"id":"W4361305653","doi":"10.3390/agriculture13040781","title":"Estimates of Dust Emissions and Organic Carbon Losses Induced by Wind Erosion in Farmland Worldwide from 2017 to 2021","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Aeolian processes and effects","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Environmental science; Soil carbon; Total organic carbon; Aeolian processes; Agricultural land; Greenhouse gas; Carbon cycle; Carbon fibers; Erosion; Agriculture; Environmental protection; Atmospheric sciences; Soil water; Geography; Environmental chemistry; Soil science; Ecosystem; Ecology; Chemistry","score_opus":0.008697227619647536,"score_gpt":0.21090105033980497,"score_spread":0.20220382272015744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361305653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980663,0.0009884393,9.565773e-7,0.00037998662,0.0000635232,0.0001032247,0.00010852746,0.000010536062,0.0002785224],"genre_scores_gemma":[0.99938244,0.00017973525,0.00004722499,0.000022828435,0.00003300318,4.7833663e-7,0.00019941104,0.0000018357127,0.00013303445],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994267,0.00001619737,0.00012796168,0.00017338136,0.00011188723,0.00014385015],"domain_scores_gemma":[0.99961245,0.0001373265,0.000054309494,0.000075246404,0.000028866085,0.00009179613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056968725,0.00009393262,0.00016811522,0.000042489522,0.000039057933,0.000016612386,0.00009521154,0.00008372043,0.00018779734],"category_scores_gemma":[0.000100747326,0.000056404864,0.000014020556,0.0005600144,0.00001723622,0.00006579262,0.000021003465,0.000087106404,0.000015267478],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020818152,0.000016866554,0.7113809,0.00006317954,0.000011384593,0.000012511329,0.0008887827,0.00041081154,0.27184755,7.58531e-7,0.012207733,0.0031387263],"study_design_scores_gemma":[0.00015338416,0.00006994811,0.97226024,0.00017632465,0.0000116478495,0.0000015601748,0.00040095596,0.0007217904,0.02578636,0.00012415169,0.0001948259,0.000098826116],"about_ca_topic_score_codex":0.00549468,"about_ca_topic_score_gemma":0.003669383,"teacher_disagreement_score":0.26087934,"about_ca_system_score_codex":0.0000015421299,"about_ca_system_score_gemma":0.000017233591,"threshold_uncertainty_score":0.8306349},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Bayer (Canada)","funders":"","keywords":"Agriculture; Plant growth; Biotechnology; Biology; Bacteria; Agronomy; Ecology","score_opus":0.026031833397220306,"score_gpt":0.20882594171701274,"score_spread":0.18279410831979243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377091165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900684,0.000060553233,2.1646287e-7,0.008316207,0.00028990023,0.00045369475,0.0006415601,0.0000650397,0.00010445618],"genre_scores_gemma":[0.99850804,0.0003350132,0.00004497022,0.00011317313,0.00017102266,0.000030429925,0.00036230194,0.0000014667477,0.00043360292],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99863744,0.00014553347,0.0003894741,0.00022580667,0.00024458783,0.00035715773],"domain_scores_gemma":[0.99867404,0.00042371792,0.0002497182,0.00010764232,0.0004684305,0.000076441705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027960757,0.0001972348,0.00021922475,0.000012602265,0.0005692101,0.000141648,0.0005851942,0.00010654809,0.000047507343],"category_scores_gemma":[0.00034902635,0.000043469136,0.00014670921,0.0011383955,0.00006329207,0.00019589251,0.00023170194,0.00025563178,0.00003669822],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024092104,0.00006406835,0.00093622395,0.000011111426,0.00005409213,9.606621e-7,0.00048053477,0.0000023522853,0.959439,0.00018587917,0.036080793,0.0027208852],"study_design_scores_gemma":[0.00006989192,0.00033993513,0.72684985,0.000096528565,0.00002319441,0.000041014813,0.0012523199,0.0000023997613,0.18701546,0.000059123722,0.08408423,0.00016605455],"about_ca_topic_score_codex":0.0006105012,"about_ca_topic_score_gemma":0.0015583694,"teacher_disagreement_score":0.77242357,"about_ca_system_score_codex":0.000022151464,"about_ca_system_score_gemma":0.0000073786123,"threshold_uncertainty_score":0.43779618},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.026855103412276093,"score_gpt":0.2033585060758463,"score_spread":0.1765034026635702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377091168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99145126,0.00036849844,0.0000010848285,0.0076105576,0.00007196445,0.00027590673,0.000015563313,0.000040746814,0.00016442257],"genre_scores_gemma":[0.99918014,0.00008585409,0.000013628124,0.0002247776,0.00021877287,0.000042098352,0.00004219629,4.573586e-7,0.00019208992],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994899,0.000039437127,0.00011446405,0.000130126,0.00009627378,0.00012979053],"domain_scores_gemma":[0.99964637,0.0001538148,0.00007689736,0.000020144877,0.00007675999,0.000025989919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027097962,0.00006915477,0.000077838515,0.0000040398195,0.0002190442,0.000041479583,0.00010592814,0.00004596842,0.0000036464526],"category_scores_gemma":[0.000097533244,0.000015602225,0.000038822218,0.00024608255,0.000030850824,0.00009228349,0.000031968382,0.00005126077,0.0000031026464],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019683655,0.0000237825,0.018013835,0.000102498285,0.000030222318,4.788324e-7,0.0010009819,0.00001290781,0.9623341,0.0012059644,0.005831686,0.011423879],"study_design_scores_gemma":[0.0001235465,0.00016012763,0.95777583,0.000042922275,0.000022456885,0.0000014394305,0.0013756622,0.00006730706,0.032154262,0.00047998803,0.007711169,0.00008530603],"about_ca_topic_score_codex":0.00018986616,"about_ca_topic_score_gemma":0.000270295,"teacher_disagreement_score":0.939762,"about_ca_system_score_codex":0.0000033157348,"about_ca_system_score_gemma":0.0000022368743,"threshold_uncertainty_score":0.1684733},"labels":[],"label_agreement":null},{"id":"W4378908118","doi":"10.3390/agriculture13061163","title":"Forecasting Pesticide Use on Golf Courses by Integration of Deep Learning and Decision Tree Techniques","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa; Université Laval","funders":"","keywords":"Longitude; Environmental science; Latitude; Precipitation; Geographic coordinate system; Statistics; Calibration; Computer science; Mathematics; Meteorology; Geography; Cartography","score_opus":0.028838986666257047,"score_gpt":0.2527244589086837,"score_spread":0.22388547224242666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378908118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980241,0.000040281426,0.00007036721,0.0008060681,0.00003538037,0.00014741134,0.000007368606,0.00010299791,0.000765994],"genre_scores_gemma":[0.9982573,0.0001573096,0.00056050747,0.00007320556,0.000058818714,0.000011601044,0.0001729038,7.3565e-7,0.00070762314],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99938595,0.000034672423,0.00014075814,0.00016546916,0.00015912189,0.00011402536],"domain_scores_gemma":[0.9994131,0.00034418335,0.00011965061,0.000019877703,0.000071323135,0.000031919648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001577536,0.00008958558,0.000091667534,0.00001323171,0.00014192109,0.00008580775,0.00006408733,0.00006166434,0.000028131688],"category_scores_gemma":[0.00016652553,0.000028064489,0.00002972673,0.00028703004,0.000017366528,0.00022158242,0.00004499844,0.00010025041,0.000007242107],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021685908,0.000029957557,0.0038865062,0.000005890825,0.000007942718,0.000003029859,0.00013507089,0.00003604768,0.13213463,0.0003378272,0.007072747,0.85632867],"study_design_scores_gemma":[0.0004254476,0.0023886112,0.5466702,0.000591871,0.00013219072,0.000024179417,0.0092028035,0.0088693965,0.12292768,0.0047547244,0.30316263,0.0008502877],"about_ca_topic_score_codex":0.00012876588,"about_ca_topic_score_gemma":0.00026439127,"teacher_disagreement_score":0.85547835,"about_ca_system_score_codex":0.000008858107,"about_ca_system_score_gemma":5.74522e-7,"threshold_uncertainty_score":0.11444366},"labels":[],"label_agreement":null},{"id":"W4382062758","doi":"10.3390/agriculture13071290","title":"Isolation of an Acidophilic Cellulolytic Bacterial Strain and Its Cellulase Production Characteristics","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Enzyme Production and Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"National Natural Science Foundation of China","keywords":"Cellulase; Cellulose; Incubation; Strain (injury); Food science; Substrate (aquarium); Chemistry; Bacteria; Response surface methodology; Biology; Biochemistry; Chromatography; Ecology","score_opus":0.008313650608282262,"score_gpt":0.2143627911714823,"score_spread":0.20604914056320003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382062758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998724,0.0000503755,0.000041937896,0.00043774396,0.00044277712,0.00017067691,0.000073968025,0.00003405127,0.000024502433],"genre_scores_gemma":[0.9943612,0.0001522344,0.00006548136,0.000025112913,0.0010541233,0.0000098895725,0.0033197182,0.000010901113,0.0010012918],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993253,0.00004248238,0.00016537897,0.000273236,0.0000837744,0.00010983331],"domain_scores_gemma":[0.9995783,0.0000018339756,0.00010937307,0.00013419942,0.0001261153,0.000050177743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000098780336,0.000105528416,0.00009315232,0.000035803212,0.000058973277,0.000018305065,0.00005328733,0.00012737938,0.000018826924],"category_scores_gemma":[0.00007077013,0.0000869058,0.000025232182,0.0001682099,0.000019706962,0.000016981798,0.000030507197,0.000053820488,0.000010081521],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003469037,0.00003629384,0.00015330428,0.000041833722,0.000011655289,6.7639417e-7,0.000112143556,0.0000124491235,0.9981128,0.000029891173,0.0004633609,0.000990899],"study_design_scores_gemma":[0.00018515899,0.00015338052,0.06389084,0.000011000862,0.00002176255,0.0000149363605,0.000093800816,0.00012734732,0.9307257,0.000016008962,0.004619946,0.00014013985],"about_ca_topic_score_codex":7.6007996e-7,"about_ca_topic_score_gemma":0.0000032795786,"teacher_disagreement_score":0.06738713,"about_ca_system_score_codex":0.00000474616,"about_ca_system_score_gemma":0.000015074826,"threshold_uncertainty_score":0.35439155},"labels":[],"label_agreement":null},{"id":"W4382863374","doi":"10.3390/agriculture13071331","title":"Effect of Bamboo Vinegar on Control of Nitrogen Loss in Vegetable Waste and Manure Composting","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Fujian Academy of Agricultural Sciences","keywords":"Compost; Denitrifying bacteria; Green waste; Chicken manure; Microbial inoculant; Bamboo; Food science; Nitrosomonas; Manure; Nitrogen; Chemistry; Proteobacteria; Pulp and paper industry; Environmental science; Agronomy; Bacteria; Biology; Nitrification; Denitrification; Botany; Horticulture; Inoculation; 16S ribosomal RNA","score_opus":0.006220030030181155,"score_gpt":0.21543041570596386,"score_spread":0.2092103856757827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382863374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986088,0.000159506,5.087743e-7,0.0003683483,0.000034825785,0.00026875106,0.000044590066,0.00012904945,0.00038558015],"genre_scores_gemma":[0.99973494,0.000027735092,0.000031160398,0.00002832312,0.00007672027,0.000010610649,0.000046267363,0.0000012292011,0.00004303695],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99900055,0.00014137689,0.0002509126,0.00022565809,0.00016303998,0.00021848251],"domain_scores_gemma":[0.9988529,0.0008525407,0.00013909927,0.000054184686,0.0000565775,0.00004466652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040324798,0.00015758125,0.00034627877,0.000027909098,0.0000667762,0.000012109002,0.00017211477,0.00010995602,0.0000065458917],"category_scores_gemma":[0.00011519508,0.000054014985,0.000074531104,0.0004885512,0.00004547152,0.00003910012,0.000073291565,0.00015776053,0.000004089198],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108878376,0.000042279196,0.14560483,0.000090426096,0.000013353735,0.0000120473005,0.000051583087,0.00006630893,0.84803903,0.00008184426,0.00040978796,0.0054796385],"study_design_scores_gemma":[0.0010447507,0.0029187754,0.33616778,0.001036866,0.000049826696,0.000032672513,0.00014333043,0.0007917478,0.65621483,0.00058690633,0.0006473297,0.00036516678],"about_ca_topic_score_codex":0.00020117512,"about_ca_topic_score_gemma":0.0000663713,"teacher_disagreement_score":0.19182417,"about_ca_system_score_codex":0.000010192188,"about_ca_system_score_gemma":0.0000021769517,"threshold_uncertainty_score":0.22026673},"labels":[],"label_agreement":null},{"id":"W4383908853","doi":"10.3390/agriculture13071369","title":"Effects of Different Trace Elements and Levels on Nutrients and Energy Utilization, Antioxidant Capacity, and Mineral Deposition of Broiler Chickens","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Broiler; Malondialdehyde; Chemistry; Animal science; Nutrient; Trace Minerals; Superoxide dismutase; Trace mineral; Deposition (geology); Antioxidant; Completely randomized design; Sucrose; Food science; Biochemistry; Biology","score_opus":0.020555675713247533,"score_gpt":0.2168901682676691,"score_spread":0.19633449255442156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383908853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999346,0.00021702217,0.0000017537722,0.0002035078,0.000027299102,0.00009191696,0.00006399546,0.000016033993,0.000032465217],"genre_scores_gemma":[0.9989883,0.00071567524,0.000014635753,0.00007416942,0.000043378506,0.00000716962,0.00007081735,6.1310124e-7,0.0000852661],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999426,0.000056272434,0.00014007596,0.00017155481,0.00009796757,0.000108132204],"domain_scores_gemma":[0.9997128,0.00008722483,0.00008224162,0.000016603723,0.00004872193,0.000052407995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000020658947,0.00010167757,0.00016228549,0.000012865663,0.00006967939,0.000009425775,0.00003577455,0.00008218482,0.0000074924365],"category_scores_gemma":[0.000012682377,0.00003649574,0.000025869715,0.0001658011,0.000060860944,0.000041891206,0.000034356795,0.00004136949,3.8700355e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026749267,0.00012214632,0.0069457586,0.00006470177,0.000012981561,7.5842627e-7,0.00006398191,1.8794428e-7,0.98706764,0.001502276,0.0007447563,0.0034480714],"study_design_scores_gemma":[0.0003009833,0.00045158394,0.9448346,0.00007519628,0.000014056613,0.0000042345123,0.00007491381,0.000018734405,0.053151824,0.0007011453,0.000295024,0.00007770075],"about_ca_topic_score_codex":0.000056599758,"about_ca_topic_score_gemma":0.00009434156,"teacher_disagreement_score":0.93788886,"about_ca_system_score_codex":0.0000030814012,"about_ca_system_score_gemma":6.5078876e-7,"threshold_uncertainty_score":0.1488253},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.01174929684049429,"score_gpt":0.2273031295369224,"score_spread":0.2155538326964281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385224177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966784,0.00005775527,0.000001271871,0.0019353882,0.000020473077,0.00022105548,0.000016613689,0.000010979041,0.001058028],"genre_scores_gemma":[0.99933356,0.00023281288,0.0000055122377,0.000067317116,0.000007673782,0.000044145927,0.000016752936,0.000001915166,0.000290294],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997002,0.000040887768,0.00007362651,0.000065632106,0.000028436718,0.00009124184],"domain_scores_gemma":[0.9998187,0.000051800253,0.000027961798,0.000078254045,0.0000029632643,0.000020321042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007199921,0.000059363036,0.000062985295,0.00001923077,0.00009805246,0.00000919683,0.000075006144,0.000025750947,0.00006231268],"category_scores_gemma":[0.0000052669675,0.000032489403,0.000010249472,0.00013506033,0.0000599108,0.00005298513,0.00024481482,0.00006919748,0.000011347326],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005888967,0.00048192093,0.8149849,0.00016034929,0.00014577802,0.00008903687,0.039795056,0.0002930978,0.0047651557,0.06296957,0.059441615,0.016814599],"study_design_scores_gemma":[0.00022093784,0.00019817067,0.98857754,0.000012513057,0.0000103491,0.0000288902,0.006998707,0.00010462267,0.000031047446,0.00056161574,0.0031998775,0.000055739583],"about_ca_topic_score_codex":0.00046402938,"about_ca_topic_score_gemma":0.012409812,"teacher_disagreement_score":0.1735926,"about_ca_system_score_codex":0.000012019917,"about_ca_system_score_gemma":6.3739685e-7,"threshold_uncertainty_score":0.69249666},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.050524484992311956,"score_gpt":0.27654537979686633,"score_spread":0.22602089480455437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385348975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959236,0.00077232294,3.5582724e-7,0.0010917387,0.000048661816,0.0003872785,0.0003525378,0.00037870952,0.0010448055],"genre_scores_gemma":[0.99004346,0.008500577,0.000019199344,0.00023138685,0.00024437782,0.000058514495,0.0008787909,0.0000011268577,0.000022558099],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990123,0.000065264205,0.00017674748,0.00028088223,0.00017446927,0.00029036973],"domain_scores_gemma":[0.999571,0.00007286347,0.00012908774,0.000059277816,0.00007445862,0.0000932576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001473811,0.00020984397,0.00021295881,0.000017867238,0.00013405056,0.000075931224,0.00018385834,0.00016970788,0.000028739782],"category_scores_gemma":[0.000010961935,0.000058138212,0.000061888575,0.00061998324,0.000033076532,0.00043472435,0.000048273116,0.00011786037,0.000016654461],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011596487,0.00006185507,0.0010129778,0.00005507697,0.00001020044,0.000003489117,0.00036645294,0.0000012169714,0.9719511,0.0029079374,0.0041350652,0.019482994],"study_design_scores_gemma":[0.000108414424,0.0007954232,0.8143562,0.00035787988,0.000015028911,0.000013011704,0.002567055,0.000015099591,0.17115676,0.0018136434,0.008467877,0.00033362856],"about_ca_topic_score_codex":0.000116014184,"about_ca_topic_score_gemma":0.0004930443,"teacher_disagreement_score":0.8133432,"about_ca_system_score_codex":0.000011631062,"about_ca_system_score_gemma":0.0000023955909,"threshold_uncertainty_score":0.23708074},"labels":[],"label_agreement":null},{"id":"W4385416106","doi":"10.3390/agriculture13081522","title":"Enhancing Animal Welfare with Interaction Recognition: A Deep Dive into Pig Interaction Using Xception Architecture and SSPD-PIR Method","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Research Foundation of Korea; National Research Foundation","keywords":"Animal welfare; Computer science; Optimal distinctiveness theory; Metric (unit); Artificial intelligence; Machine learning; Business; Psychology; Biology; Marketing; Ecology","score_opus":0.048387425638344084,"score_gpt":0.34681296357503705,"score_spread":0.29842553793669296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385416106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99298793,0.00010087991,0.0039399066,0.0015918681,0.00025679084,0.00034034005,0.000021933756,0.00033339174,0.00042693678],"genre_scores_gemma":[0.99348193,0.00003708354,0.0056675365,0.000062833285,0.00041049477,0.00006575779,0.00019880169,0.000028456165,0.000047107933],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99862266,0.00014961725,0.00024534322,0.0004879199,0.00021575247,0.00027873507],"domain_scores_gemma":[0.99937123,0.00007099794,0.0001614107,0.00011306882,0.00020481985,0.00007847611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013619813,0.00030288316,0.0002661739,0.00013971327,0.00060971844,0.00009904864,0.000070768714,0.00016314437,0.0001343975],"category_scores_gemma":[0.000041333056,0.00020072529,0.00008776555,0.00049980334,0.000040758867,0.00047058534,0.00014207403,0.0004615637,0.000060046328],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001998419,0.00011478557,0.0040225834,0.00027364775,0.00025992576,0.0003122908,0.019523574,0.000119397024,0.8871994,0.00007466653,0.0005046088,0.08559671],"study_design_scores_gemma":[0.0014727406,0.00405138,0.8669435,0.0010410491,0.0008309924,0.0045301593,0.09472169,0.0006237389,0.01470817,0.0004294164,0.009059794,0.0015873649],"about_ca_topic_score_codex":0.00044505988,"about_ca_topic_score_gemma":0.00059659826,"teacher_disagreement_score":0.87249124,"about_ca_system_score_codex":0.00012833357,"about_ca_system_score_gemma":0.000007350145,"threshold_uncertainty_score":0.818534},"labels":[],"label_agreement":null},{"id":"W4385446681","doi":"10.3390/agriculture13081532","title":"Novel Curve Fitting Analysis of NDVI Data to Describe Turf Fertilizer Response","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs; Agrotain","keywords":"Normalized Difference Vegetation Index; Poa pratensis; Fertilizer; Loam; Mathematics; Environmental science; Agronomy; Lawn; Canopy; Remote sensing; Leaf area index; Soil science; Soil water; Poaceae; Biology; Botany","score_opus":0.06531586774743173,"score_gpt":0.2844044913678098,"score_spread":0.2190886236203781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385446681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99188983,0.000013431615,0.0015701515,0.003580866,0.00009344666,0.0002632128,0.00016705817,0.00011316823,0.0023088139],"genre_scores_gemma":[0.99026453,0.0000054323223,0.0024825681,0.00057351164,0.000013137363,0.000011781653,0.0002808143,0.0000056583817,0.0063625765],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989192,0.00004745857,0.00018441575,0.0003458488,0.0003176669,0.000185401],"domain_scores_gemma":[0.99929565,0.000075618795,0.000067757355,0.00046197456,0.00001412358,0.000084875894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046007757,0.00009782407,0.00014611438,0.000090542926,0.00006662636,0.00002576635,0.0004478221,0.000040271458,0.0005387794],"category_scores_gemma":[0.0002058637,0.00006579849,0.00006268546,0.0027057668,0.00002255748,0.00014956447,0.0005089991,0.0000582278,0.00038585704],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014727976,0.00015602227,0.014914601,0.0000111002055,0.00044559204,0.000014205729,0.002786122,0.059002455,0.5611583,0.00026557434,0.35573173,0.005367022],"study_design_scores_gemma":[0.00010889527,0.00001687207,0.9195184,0.0000059058084,0.00016638619,3.7286844e-7,0.0009877234,0.0025650146,0.00056057447,0.000007600282,0.07595345,0.00010877996],"about_ca_topic_score_codex":0.00048282437,"about_ca_topic_score_gemma":0.0014027541,"teacher_disagreement_score":0.90460384,"about_ca_system_score_codex":0.000046370333,"about_ca_system_score_gemma":0.000003441414,"threshold_uncertainty_score":0.58992565},"labels":[],"label_agreement":null},{"id":"W4385575936","doi":"10.3390/agriculture13081562","title":"Division of Cow Production Groups Based on SOLOv2 and Improved CNN-LSTM","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Effects of Environmental Stressors on Livestock","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Nanjing Agricultural University","keywords":"Udder; Artificial intelligence; Convolutional neural network; Pattern recognition (psychology); Computer science; Segmentation; Production (economics); Artificial neural network; Feature (linguistics); Yield (engineering); Biology; Mastitis","score_opus":0.0069757447984840374,"score_gpt":0.18827630241437684,"score_spread":0.1813005576158928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385575936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967603,0.000052779076,5.913419e-7,0.0023836656,0.00010830252,0.00033119513,0.000025781492,0.00008795927,0.00024939465],"genre_scores_gemma":[0.9990785,0.000037912687,0.00004194105,0.00008888699,0.00013439625,0.000021595335,0.00014457152,9.71285e-7,0.00045123923],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99914145,0.00005215543,0.000121264784,0.00031180217,0.00019351456,0.00017981915],"domain_scores_gemma":[0.9996528,0.00012132494,0.00008433558,0.00005559758,0.00001997003,0.00006598682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000115119525,0.00013569364,0.0001375826,0.000010520905,0.0001284357,0.00001826353,0.000113776725,0.00010678869,0.000044395234],"category_scores_gemma":[0.00006723661,0.000042809737,0.00005519907,0.00032271212,0.000060147213,0.00008898542,0.000062068626,0.000105896026,0.000034951685],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024748575,0.000104235725,0.009420353,0.000016205251,0.0000056702515,0.0000014647812,0.000027296812,0.00013971455,0.97459984,0.00003293166,0.0030385575,0.012588962],"study_design_scores_gemma":[0.00013271457,0.00071478775,0.960826,0.000050205,0.00000883626,0.0000011472457,0.00013042643,0.00022208801,0.036345307,0.000106412444,0.0013252454,0.00013686948],"about_ca_topic_score_codex":0.000057869864,"about_ca_topic_score_gemma":0.00007006778,"teacher_disagreement_score":0.9514056,"about_ca_system_score_codex":0.000014129586,"about_ca_system_score_gemma":0.0000010075506,"threshold_uncertainty_score":0.17457303},"labels":[],"label_agreement":null},{"id":"W4386256250","doi":"10.3390/agriculture13091706","title":"AI in Sustainable Pig Farming: IoT Insights into Stress and Gait","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Wageningen University and Research","keywords":"Isolation (microbiology); Accelerometer; Internet of Things; Respiration rate; Computer science; Biology; Respiration; Computer security; Bioinformatics","score_opus":0.019706196850533528,"score_gpt":0.293740056526167,"score_spread":0.2740338596756335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386256250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99456733,0.00096624426,0.0000011625125,0.0014447297,0.000059109756,0.00019644812,0.0000046230634,0.00014445194,0.002615922],"genre_scores_gemma":[0.99527085,0.00013094816,0.0000122901765,0.00014434355,0.00009053509,0.0000465411,0.000030813255,0.000010890808,0.0042628124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991218,0.00003301336,0.00013901455,0.00027129782,0.0001274281,0.00030744472],"domain_scores_gemma":[0.9997017,0.000026998317,0.000028196708,0.00009995531,0.000086961714,0.00005623474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000047314483,0.00016306277,0.00018194593,0.00007928468,0.00022098949,0.000042642947,0.00010033498,0.00011411271,0.00002060125],"category_scores_gemma":[0.000025163683,0.00010480862,0.000037661343,0.00049462245,0.00004099714,0.00010437311,0.0002363031,0.00020003474,0.000061774816],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043514595,0.00062598585,0.49516115,0.0015173776,0.00019157826,0.01442102,0.078682005,0.00003696444,0.12814914,0.0473407,0.2270012,0.006437735],"study_design_scores_gemma":[0.00026660177,0.0001958339,0.9275179,0.0000507056,0.0000176235,0.000016082362,0.020138152,0.000005389873,0.0002735861,0.0007513054,0.05054898,0.00021784939],"about_ca_topic_score_codex":0.00074609503,"about_ca_topic_score_gemma":0.00028414326,"teacher_disagreement_score":0.43235675,"about_ca_system_score_codex":0.0000445527,"about_ca_system_score_gemma":0.000009523776,"threshold_uncertainty_score":0.42739716},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.010718320115812583,"score_gpt":0.21573535748333533,"score_spread":0.20501703736752275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386303918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984675,0.00034646352,4.490407e-7,0.00043176598,0.00005950591,0.00028977895,0.0002300128,0.000019738225,0.00015477814],"genre_scores_gemma":[0.9985665,0.0010714382,0.0000044789967,0.00006820761,0.000047185633,0.000018164805,0.00012697793,0.0000011459034,0.00009591436],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99913216,0.00012799019,0.00016068331,0.0002430157,0.00017717724,0.00015899319],"domain_scores_gemma":[0.9988468,0.00077000697,0.0001733433,0.000021862366,0.000110986584,0.00007698452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009264359,0.00015964328,0.00025651004,0.00003661575,0.0001757898,0.000019106059,0.000073527146,0.00012775643,0.0000066756697],"category_scores_gemma":[0.00012337219,0.00006549127,0.00002528179,0.00023971536,0.00007203844,0.00015109549,0.000060988492,0.00014153699,0.0000014268102],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010042499,0.00007636935,0.022643188,0.0002512971,0.00008980219,0.000056078945,0.005923598,0.000001345533,0.9682779,0.0013198286,0.00009473474,0.001165449],"study_design_scores_gemma":[0.000177495,0.0002635819,0.7476684,0.00031613218,0.000011786337,0.00003248383,0.001947918,0.000005044104,0.24924593,0.00016080048,0.000056687008,0.00011376575],"about_ca_topic_score_codex":0.00019026361,"about_ca_topic_score_gemma":0.001937958,"teacher_disagreement_score":0.7250252,"about_ca_system_score_codex":0.000016011361,"about_ca_system_score_gemma":0.000012086206,"threshold_uncertainty_score":0.26706567},"labels":[],"label_agreement":null},{"id":"W4386324796","doi":"10.3390/agriculture13091727","title":"Surveying North American Specialty Crop Growers’ Current Use of Soilless Substrates and Future Research and Education Needs","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Plant Disease Management Techniques","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Return on investment; Investment (military); Agricultural science; Business; Crop; Integrated pest management; Quality (philosophy); Specialty; Production (economics); Agroforestry; Agricultural engineering; Geography; Environmental science; Engineering; Agronomy; Forestry; Medicine; Economics; Biology","score_opus":0.07198499691178344,"score_gpt":0.30007939652193405,"score_spread":0.2280943996101506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386324796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99735135,0.00049320393,1.00475575e-7,0.0014069855,0.00008546214,0.00027566307,0.00013008752,0.00011053104,0.00014660307],"genre_scores_gemma":[0.9936635,0.0050862706,0.000020157077,0.000028803446,0.0004522157,0.000024782677,0.00054667995,0.0000010075019,0.0001765659],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989867,0.00011406003,0.00014103827,0.00024865507,0.00026398755,0.0002455412],"domain_scores_gemma":[0.9994242,0.00015460164,0.00007972412,0.000049808594,0.00018383694,0.00010779507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022237474,0.0001236675,0.0001544095,0.0000556879,0.00019790865,0.0001330357,0.00014023397,0.000041980828,0.000008871188],"category_scores_gemma":[0.000031479558,0.00004527862,0.000028205777,0.0018525791,0.00014814179,0.00018686503,0.00013398592,0.0001591182,0.000004206594],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002879174,0.00017323585,0.6146762,0.00007438393,0.000021060752,0.000004702847,0.00033271566,5.7880595e-7,0.013242757,0.000999825,0.0764163,0.2940295],"study_design_scores_gemma":[0.000024938623,0.00007273244,0.9475121,0.000025880325,0.000007528864,0.0000016517822,0.001776544,0.000002145255,0.00034948063,0.00013643643,0.049976677,0.00011386646],"about_ca_topic_score_codex":0.0006768015,"about_ca_topic_score_gemma":0.0053787315,"teacher_disagreement_score":0.33283594,"about_ca_system_score_codex":0.000014006722,"about_ca_system_score_gemma":0.000009327742,"threshold_uncertainty_score":0.30014583},"labels":[],"label_agreement":null},{"id":"W4386496259","doi":"10.3390/agriculture13091775","title":"Zinc Absorption through Leaves and Subsequent Translocation to the Grains of Bread Wheat after Foliar Spray","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Plant Micronutrient Interactions and Effects","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"King Saud University","keywords":"Biofortification; Zinc; Cultivar; Chromosomal translocation; Agronomy; Absorption (acoustics); Biology; Grain yield; Chemistry; Materials science; Biochemistry","score_opus":0.014097490540569375,"score_gpt":0.2206310895346735,"score_spread":0.20653359899410412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386496259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899259,0.00029557073,0.000009478655,0.008985772,0.00012826303,0.00027901007,0.000117172196,0.00004634273,0.00021246649],"genre_scores_gemma":[0.9982646,0.0004558843,0.000016075139,0.0002564446,0.00016451727,0.000048798738,0.00012729625,6.107347e-7,0.0006657788],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993887,0.000042607393,0.0001225196,0.0001738454,0.00011496596,0.00015734014],"domain_scores_gemma":[0.9997476,0.00008484769,0.00003843343,0.000039731476,0.000050231687,0.0000391662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000995027,0.000099419434,0.00010147401,0.00000864508,0.000121405654,0.000036838333,0.000094653034,0.00006856625,0.000038521994],"category_scores_gemma":[0.000011370591,0.000027146953,0.000058696052,0.00042705226,0.000021850346,0.00012748865,0.000023516142,0.00007508457,0.00010455944],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033610693,0.000037699134,0.0008588993,0.000012080455,0.000013580883,0.0000026460245,0.00093030767,0.000019287334,0.9710745,0.0004284578,0.019793434,0.0067954464],"study_design_scores_gemma":[0.00014691893,0.00025371823,0.6244957,0.00015448203,0.00003210153,0.000042042797,0.0012932122,0.000009376398,0.12752973,0.00041961198,0.24539596,0.00022718395],"about_ca_topic_score_codex":0.0002501851,"about_ca_topic_score_gemma":0.0018501955,"teacher_disagreement_score":0.84354484,"about_ca_system_score_codex":0.000012174933,"about_ca_system_score_gemma":0.0000018936958,"threshold_uncertainty_score":0.1343935},"labels":[],"label_agreement":null},{"id":"W4386741948","doi":"10.3390/agriculture13091809","title":"An Overview of the Impacts of Climate Change on Vineyard Ecosystems in Niagara, Canada","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Brock University","funders":"Agriculture and Agri-Food Canada","keywords":"Vineyard; Microclimate; Climate change; Environmental science; Precipitation; Ecosystem; Vine; Agroecosystem; Agroforestry; Ecology; Agriculture; Geography; Biology","score_opus":0.06904942961559482,"score_gpt":0.2993602335880853,"score_spread":0.23031080397249046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386741948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995274,0.00032630775,7.4533546e-10,0.0032033648,0.00012905334,0.00042959346,0.00028471518,0.000023850047,0.0003290912],"genre_scores_gemma":[0.9982773,0.0011141116,7.7865286e-7,0.00017741657,0.00018092828,0.000034660334,0.00010752263,9.159332e-7,0.00010637943],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99832666,0.00015477392,0.00032119863,0.00023267789,0.00053680886,0.0004278694],"domain_scores_gemma":[0.99937516,0.000115756135,0.00013979968,0.000097842036,0.00014651653,0.00012490315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022109482,0.0001659317,0.00028297186,0.000011646601,0.000103729435,0.000019559062,0.00043995373,0.0001035603,0.00007648439],"category_scores_gemma":[0.00007878956,0.000037894955,0.00011155403,0.0013921543,0.000029865889,0.00012797148,0.00009333477,0.00017420632,0.0000143365],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005518926,0.00021647592,0.08200965,0.00028922377,0.00002700975,0.000025234604,0.0005468739,0.00004235034,0.88085026,0.001256519,0.01395296,0.02072824],"study_design_scores_gemma":[0.0001026184,0.00021936353,0.9734036,0.00031512868,0.000006308184,0.0000037211719,0.0007591141,0.000026163638,0.017506834,0.000020300215,0.0075030653,0.00013379627],"about_ca_topic_score_codex":0.22538039,"about_ca_topic_score_gemma":0.8882537,"teacher_disagreement_score":0.89139396,"about_ca_system_score_codex":0.000061942315,"about_ca_system_score_gemma":0.000020033542,"threshold_uncertainty_score":0.7797779},"labels":[],"label_agreement":null},{"id":"W4387187073","doi":"10.3390/agriculture13101913","title":"Predicting Quality Properties of Pears during Storage Using Hyper Spectral Imaging System","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"PEAR; Titratable acid; Chemistry; Cold storage; Horticulture; Biological system; Food science; Biology","score_opus":0.02518969056451621,"score_gpt":0.2568820303945331,"score_spread":0.2316923398300169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387187073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954049,0.0009845407,0.000007204414,0.0000414716,0.00006136352,0.000048778136,0.00001778378,0.0003681128,0.0030658483],"genre_scores_gemma":[0.9981282,0.000013280159,0.00007027991,0.0000044626354,0.0003032174,0.0000057112716,0.000012448756,0.000016660393,0.0014457757],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987527,0.000022019907,0.00032222844,0.00027386125,0.00030621278,0.0003229394],"domain_scores_gemma":[0.9994392,0.000022666414,0.00018747301,0.00020139992,0.00008922523,0.000060032766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012676574,0.00017245555,0.00029822777,0.00008522661,0.00018182497,0.000040258103,0.00018047343,0.000086899396,0.00006169544],"category_scores_gemma":[0.00007996538,0.000118009244,0.00013877019,0.00084163673,0.00004214946,0.00014223703,0.000082682134,0.00021702834,0.000009579958],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009732338,0.000019849447,0.06473217,0.00088915724,0.00007199987,0.000013761309,0.0004916712,0.00037898374,0.93326426,0.00003724928,0.00008356468,0.0000076056435],"study_design_scores_gemma":[0.00023150246,0.0000030858714,0.024582813,0.00024532032,0.0001394465,0.00005201493,0.017723614,0.0006911844,0.95608264,0.0000023339444,0.00003528596,0.00021074137],"about_ca_topic_score_codex":0.00040704556,"about_ca_topic_score_gemma":0.000008442728,"teacher_disagreement_score":0.04014936,"about_ca_system_score_codex":0.00016888896,"about_ca_system_score_gemma":0.000027992453,"threshold_uncertainty_score":0.48122773},"labels":[],"label_agreement":null},{"id":"W4387234799","doi":"10.3390/agriculture13101924","title":"Grain Yield Potential of Intermediate Wheatgrass in Western Canada","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; University of Manitoba","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Agronomy; Forage; Yield (engineering); Biology; Cropping; Perennial plant; Intercropping; Productivity; Cropping system; Crop; Agriculture; Ecology","score_opus":0.009422930016548226,"score_gpt":0.18169948803137176,"score_spread":0.17227655801482353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387234799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918333,0.000050166695,4.7901176e-7,0.0071945214,0.00047781528,0.00009458641,0.000020817542,0.000043602166,0.0002846745],"genre_scores_gemma":[0.9959587,0.00008022622,0.0000023208484,0.00024248964,0.00019027354,0.000010224305,0.00009370372,4.225056e-7,0.0034216377],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99928296,0.000026337273,0.00015462934,0.00018460104,0.00016468429,0.00018680983],"domain_scores_gemma":[0.99982315,0.000016929424,0.000049418322,0.00003671908,0.000028435361,0.000045347693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000885155,0.00008593317,0.0001122116,0.000012278876,0.00003888897,0.000013936523,0.00015912949,0.00004532695,0.000091496026],"category_scores_gemma":[0.00001658492,0.000028159007,0.000039968185,0.0005462659,0.00001875199,0.00004459421,0.00007671041,0.00008140187,0.0000120311415],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033877095,0.0001440129,0.04057275,0.000046798512,0.000046273886,0.000113450515,0.00018974433,0.00043269203,0.45794636,0.00052016496,0.4431425,0.05681137],"study_design_scores_gemma":[0.00007367126,0.00004593186,0.89172274,0.000022088054,0.0000045660945,0.0000023275902,0.00068825914,0.000008606505,0.0033792653,0.00006662481,0.10387767,0.00010824127],"about_ca_topic_score_codex":0.20503207,"about_ca_topic_score_gemma":0.87509465,"teacher_disagreement_score":0.85115,"about_ca_system_score_codex":0.00002288413,"about_ca_system_score_gemma":0.000008588858,"threshold_uncertainty_score":0.8002617},"labels":[],"label_agreement":null},{"id":"W4387454882","doi":"10.3390/agriculture13101959","title":"Desorption and Sorption Isotherms of Different Varieties of Hemp Seeds with Different Percentages of Dockage under Different Temperatures and Different Relative Humidities","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Agricultural Engineering and Mechanization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"Pan African Materials Institute","keywords":"Plant reproductive morphology; Cultivar; Sorption; Desorption; Moisture; Biomass (ecology); Botany; Equilibrium moisture content; Horticulture; Agronomy; Biology; Chemistry; Materials science; Adsorption; Composite material","score_opus":0.004600463517799055,"score_gpt":0.16771227133245278,"score_spread":0.16311180781465373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387454882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968312,0.0006451149,0.0018112727,0.00005643867,0.00011740278,0.0002859595,0.00005274902,0.00017191093,0.000027997296],"genre_scores_gemma":[0.9978102,0.0015543081,0.00002579589,0.0000031511668,0.00005313495,0.000027240652,0.00019456517,0.000026036789,0.00030559264],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99898577,0.000037044643,0.0003066345,0.00020658638,0.00026799378,0.00019599826],"domain_scores_gemma":[0.9995307,0.0000723014,0.000114568684,0.00011912052,0.00009541375,0.000067936766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000029950801,0.00035135797,0.0004716431,0.00010842721,0.000055619937,0.000022086777,0.00007147098,0.0001713509,0.000011264165],"category_scores_gemma":[0.000008002979,0.0001745637,0.00006452149,0.00019650022,0.00007471546,0.0001315172,0.00004820894,0.000195924,2.9748483e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004495068,0.0001091174,0.0071963817,0.0013131348,0.00030756945,0.0000011223806,0.0046128635,0.0073090545,0.9704871,0.008087438,0.00023523114,0.0002960159],"study_design_scores_gemma":[0.0006753108,0.000337545,0.69751406,0.00051131216,0.00017738515,0.000010114071,0.0038325211,0.0018670441,0.29383355,0.00086888776,0.0000095859405,0.00036270684],"about_ca_topic_score_codex":0.0000128047905,"about_ca_topic_score_gemma":0.000037436224,"teacher_disagreement_score":0.69031763,"about_ca_system_score_codex":0.00004545559,"about_ca_system_score_gemma":0.000002385767,"threshold_uncertainty_score":0.7118501},"labels":[],"label_agreement":null},{"id":"W4387614478","doi":"10.3390/agriculture13101993","title":"Automatic Soil Sampling Site Selection in Management Zones Using a Multi-Objective Optimization Algorithm","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Benchmark (surveying); Computer science; Field (mathematics); Kriging; Process (computing); Selection (genetic algorithm); Geospatial analysis; Sample (material); Sampling (signal processing); Digital elevation model; Algorithm; Precision agriculture; Data mining; Mathematical optimization; Remote sensing; Mathematics; Geology; Machine learning; Agriculture; Cartography; Geography","score_opus":0.024039569577811375,"score_gpt":0.2410159128444837,"score_spread":0.21697634326667234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387614478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969902,0.00007519907,0.0012300509,0.0003878518,0.00018670334,0.0005232639,0.000023453451,0.00045543967,0.0001278623],"genre_scores_gemma":[0.930996,0.00041547135,0.062513374,0.00041370693,0.0015491862,0.00027034982,0.0015817625,0.000009567397,0.002250602],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986228,0.00007251981,0.00025409073,0.00041540014,0.00024205509,0.00039315174],"domain_scores_gemma":[0.9996411,0.00006116379,0.00010198236,0.000032057345,0.000095222975,0.00006845295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016444776,0.00022522264,0.00020609754,0.000049162034,0.00029083574,0.0001041271,0.00013695704,0.00017085907,0.00010172708],"category_scores_gemma":[0.000016508693,0.00007974178,0.00009791423,0.0025508378,0.000015531361,0.00025099234,0.00008241297,0.00016605365,0.00009124381],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027658036,0.0008929424,0.03296109,0.00017170863,0.00024215458,0.000119519995,0.0032659497,0.36292878,0.37803173,0.00017376753,0.006611666,0.21457304],"study_design_scores_gemma":[0.00046748412,0.00009333022,0.6766378,0.00020162549,0.00006148575,0.000036628368,0.0035796128,0.31549472,0.0012804419,0.00009469784,0.0014856661,0.00056650746],"about_ca_topic_score_codex":0.00052886136,"about_ca_topic_score_gemma":0.0014580311,"teacher_disagreement_score":0.64367676,"about_ca_system_score_codex":0.000094561015,"about_ca_system_score_gemma":0.0000041235608,"threshold_uncertainty_score":0.32517752},"labels":[],"label_agreement":null},{"id":"W4387653519","doi":"10.3390/agriculture13102005","title":"Analysis of Linkage on Interaction of Main Aspects (Genotype by Environment Interaction, Stability and Genetic Parameters) of 1000 Kernels in Maize (Zea mays L.)","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Ammi; Epistasis; Gene–environment interaction; Interaction; Biology; Kernel (algebra); Genotype; Mathematics; Gene interaction; Cultivar; Additive genetic effects; Multiplicative function; Biotechnology; Agronomy; Genetics; Gene; Heritability; Combinatorics","score_opus":0.020405706128853285,"score_gpt":0.20738559305501383,"score_spread":0.18697988692616055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387653519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99913704,0.00008727318,0.0000020522464,0.00019887429,0.000042842512,0.00013211132,0.00023277817,0.0000069541666,0.00016006398],"genre_scores_gemma":[0.99931294,0.00039638643,0.00004562617,0.0000126065215,0.00001577558,0.000004516004,0.00017289682,6.2916e-7,0.00003862808],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990808,0.0000719972,0.00031476573,0.00022930781,0.00017674586,0.00012642598],"domain_scores_gemma":[0.99945164,0.00022707491,0.00019697966,0.000055536428,0.00002890188,0.000039874096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015103049,0.000106882275,0.00025906792,0.00004385912,0.000023854904,0.000009618938,0.00009530754,0.00009312083,0.0001583637],"category_scores_gemma":[0.000022025984,0.000043667656,0.00008756549,0.0006372838,0.000030727893,0.000032914617,0.0000440231,0.00009999003,0.000003238319],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041333024,0.00012087143,0.072492056,0.000023159857,0.000102255784,0.0000027068177,0.00036511806,0.0012463955,0.9190974,0.000016130902,0.00024680866,0.0062457444],"study_design_scores_gemma":[0.00007721107,0.0002456344,0.9149166,0.00003242216,0.000087901346,0.0000017692796,0.0012374873,0.00034589056,0.0826498,0.00007363208,0.00024135053,0.00009031449],"about_ca_topic_score_codex":0.0007315523,"about_ca_topic_score_gemma":0.000847787,"teacher_disagreement_score":0.8424245,"about_ca_system_score_codex":0.000023436382,"about_ca_system_score_gemma":0.0000019204072,"threshold_uncertainty_score":0.17807154},"labels":[],"label_agreement":null},{"id":"W4387668549","doi":"10.3390/agriculture13102007","title":"Water Deficit Duration Affects Potato Plant Growth, Yield and Tuber Quality","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Potato Plant Research","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Yield (engineering); Vegetative reproduction; Dry matter; Irrigation; Biology; Agronomy; Biomass (ecology); Deficit irrigation; Horticulture; Drought tolerance; Plant growth; Irrigation management","score_opus":0.03249777238607377,"score_gpt":0.24530094322796045,"score_spread":0.21280317084188669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387668549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924464,0.00006199331,2.4754166e-7,0.0059119714,0.000067000496,0.00021872512,0.000112486174,0.00017773856,0.0010033874],"genre_scores_gemma":[0.9975022,0.00011555674,0.000005110841,0.00017028223,0.00019107829,0.000026407415,0.00084179564,7.740128e-7,0.0011467668],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987288,0.00008254449,0.00014669029,0.0003132964,0.0003099807,0.00041869108],"domain_scores_gemma":[0.9994263,0.00031542307,0.00003058166,0.000040053415,0.00006129889,0.00012632465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003421299,0.00014607949,0.00015205785,0.000013464782,0.00023538302,0.000116037656,0.00014822507,0.00015105815,0.00014951327],"category_scores_gemma":[0.000106712905,0.00003704376,0.00005185028,0.00033035106,0.000030025827,0.00014871122,0.000113673,0.0001785208,0.00036826215],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016602928,0.000022177524,0.016513683,0.000018524128,0.000012076024,0.000036207628,0.00017900801,8.016523e-7,0.9543431,0.00060597016,0.026886467,0.001365422],"study_design_scores_gemma":[0.00009822625,0.00009840692,0.890314,0.000027406575,0.000008115926,0.00006778161,0.000422193,0.000009931906,0.09875393,0.000526465,0.009422269,0.00025131763],"about_ca_topic_score_codex":0.0006378089,"about_ca_topic_score_gemma":0.0019224497,"teacher_disagreement_score":0.8738003,"about_ca_system_score_codex":0.000013934862,"about_ca_system_score_gemma":0.0000024062606,"threshold_uncertainty_score":0.47333875},"labels":[],"label_agreement":null},{"id":"W4388407592","doi":"10.3390/agriculture13112106","title":"Application of Vision Technology and Artificial Intelligence in Smart Farming","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Agriculture; Business; Engineering; Agricultural science; Environmental science; Biology; Ecology","score_opus":0.01108154193076966,"score_gpt":0.23205811663470308,"score_spread":0.22097657470393342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388407592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99511456,0.00015429434,0.000019481253,0.00411264,0.000047914367,0.0001963466,0.00000771415,0.000103103426,0.00024393736],"genre_scores_gemma":[0.9995491,0.000074918935,0.00006755676,0.000039748593,0.0001020436,0.000027449903,0.00006582846,4.6567368e-7,0.000072888004],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99922985,0.000018857672,0.00021032839,0.0002443171,0.00011547238,0.00018118865],"domain_scores_gemma":[0.99973583,0.000068752925,0.00006788733,0.000037602207,0.00005629297,0.000033637705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012370973,0.00010114792,0.00014464266,0.00004724731,0.00007270965,0.000016470296,0.00014001383,0.00016906651,0.000013108295],"category_scores_gemma":[0.000030493491,0.000032283744,0.000033145017,0.0023997005,0.000047136575,0.0000757921,0.00008042648,0.00011886319,0.00003773233],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051731067,0.00004163173,0.013662033,0.0000068501754,0.0000028206664,0.0000026604257,0.000086994056,0.000010444162,0.71048975,0.006113153,0.00047311746,0.2691054],"study_design_scores_gemma":[0.00004562625,0.00020115831,0.9102731,0.00006109074,0.000010134814,0.000015353839,0.003041692,0.000360135,0.0487692,0.01509062,0.021872193,0.00025973446],"about_ca_topic_score_codex":0.00010249107,"about_ca_topic_score_gemma":0.0009349847,"teacher_disagreement_score":0.89661103,"about_ca_system_score_codex":0.00000826807,"about_ca_system_score_gemma":0.000001778807,"threshold_uncertainty_score":0.13164929},"labels":[],"label_agreement":null},{"id":"W4388424291","doi":"10.3390/agriculture13112102","title":"Simulation of Climate Change Impacts on Crop Yield in the Saskatchewan Grain Belt Using an Improved SWAT Model","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"University of Regina","keywords":"Environmental science; Precipitation; Streamflow; SWAT model; Climate change; Yield (engineering); Soil and Water Assessment Tool; Crop yield; Irrigation; Climate model; Canola; Agriculture; Crop; Forcing (mathematics); Weather Research and Forecasting Model; Climatology; Downscaling; Radiative forcing; Agronomy; Geography; Meteorology; Ecology; Drainage basin","score_opus":0.03748242313064992,"score_gpt":0.2645413319893004,"score_spread":0.2270589088586505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388424291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99803865,0.00000577944,0.00003834231,0.00093975937,0.0000345354,0.00028746837,0.000008098661,0.00002862331,0.000618756],"genre_scores_gemma":[0.999123,0.00002569874,0.00003624328,0.000675299,0.000030361163,0.000015908226,0.000021088312,0.0000041032185,0.000068315334],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932903,0.000043237345,0.000107311425,0.00016839553,0.00012414117,0.00022790645],"domain_scores_gemma":[0.99975747,0.000037486072,0.000052160176,0.00012803615,0.000003889185,0.000020988273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025099627,0.00009813262,0.00009425405,0.000026253028,0.00013322911,0.000009440967,0.00013313105,0.000069763555,0.000013428157],"category_scores_gemma":[0.00001799352,0.00005119065,0.000029885417,0.00029448865,0.00004497234,0.00017692626,0.00010395144,0.00009502409,0.000022428094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020790947,0.0000859865,0.0087172,0.00001413324,0.000008361677,0.000005791755,0.014696282,0.9606481,0.01477481,0.00001842408,0.00040102837,0.0006090685],"study_design_scores_gemma":[0.00033020737,0.00020417517,0.29815197,0.00004031595,0.000036733727,6.405234e-7,0.0045268512,0.6945021,0.00091575214,0.00095958955,0.0001107984,0.0002208346],"about_ca_topic_score_codex":0.0006041202,"about_ca_topic_score_gemma":0.0023994911,"teacher_disagreement_score":0.28943476,"about_ca_system_score_codex":0.0000272908,"about_ca_system_score_gemma":0.0000010231922,"threshold_uncertainty_score":0.20874941},"labels":[],"label_agreement":null},{"id":"W4388824249","doi":"10.3390/agriculture13112170","title":"Analysis of Farm Data License Agreements: Do Data Agreements Adequately Reflect on Farm Data Practices and Farmers’ Data Rights?","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Readability; License; Content analysis; Transparency (behavior); Business; Safeguarding; Best practice; Data sharing; Data collection; Computer science; Internet privacy; Computer security; Political science","score_opus":0.2771625103568355,"score_gpt":0.3892906721644011,"score_spread":0.11212816180756563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388824249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9335889,0.0016262202,0.0000069058806,0.010954762,0.00044172036,0.0010413204,0.047994513,0.00026726458,0.004078384],"genre_scores_gemma":[0.6626086,0.0034783632,0.00052346254,0.0005971877,0.00066984474,0.000014402504,0.33050427,0.000004627898,0.0015992458],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99474233,0.00035518876,0.0008511859,0.0024308225,0.001020795,0.0005997021],"domain_scores_gemma":[0.9933689,0.0011038503,0.0016803078,0.0033222095,0.0003365222,0.00018820366],"candidate_categories":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.001933488,0.00050025596,0.00065608893,0.00011659736,0.00071476825,0.00056968443,0.008061399,0.0002764094,0.00045659556],"category_scores_gemma":[0.0008995717,0.00016961721,0.00006141188,0.0062138764,0.00012735625,0.0027654658,0.008419908,0.00050421874,0.000116453826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004908886,0.0021097898,0.033372123,0.00015641551,0.012724917,0.00015713448,0.0008586287,0.00006163361,0.10927396,0.0013560493,0.4408929,0.39854553],"study_design_scores_gemma":[0.00036015274,0.00027389944,0.19142573,0.00008524043,0.0028976852,0.000014970156,0.0046716463,0.0023584573,0.00015088213,0.000055709912,0.79701746,0.0006881695],"about_ca_topic_score_codex":0.005533082,"about_ca_topic_score_gemma":0.02904684,"teacher_disagreement_score":0.39785737,"about_ca_system_score_codex":0.000026060477,"about_ca_system_score_gemma":0.000022641681,"threshold_uncertainty_score":0.9995998},"labels":[],"label_agreement":null},{"id":"W4388945955","doi":"10.3390/agriculture13122192","title":"Involvement of Pyocyanin in Promoting LPS-Induced Apoptosis, Inflammation, and Oxidative Stress in Bovine Mammary Epithelium Cells","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"National Natural Science Foundation of China","keywords":"Pyocyanin; Apoptosis; Oxidative stress; Lipopolysaccharide; Inflammation; Downregulation and upregulation; TLR4; Reactive oxygen species; Signal transduction; Chemistry; Cell biology; Biology; Molecular biology; Immunology; Biochemistry; Gene","score_opus":0.01993439675538924,"score_gpt":0.2269728140197429,"score_spread":0.20703841726435365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388945955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99719054,0.00007876634,8.409653e-7,0.001987841,0.00006674995,0.00037060276,0.000052041112,0.000044855555,0.00020774869],"genre_scores_gemma":[0.99916583,0.00024383965,0.00006874202,0.000044795543,0.00009588253,0.0000406182,0.00019022125,8.0065314e-7,0.00014927548],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987894,0.00014332039,0.00036176995,0.0002775865,0.00019024698,0.00023763283],"domain_scores_gemma":[0.99955297,0.00013866332,0.0001364881,0.000053125164,0.0000656347,0.00005313627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039830562,0.00014105637,0.00021318962,0.000034471104,0.000055942142,0.000029180972,0.00019945946,0.00013119467,0.0000348296],"category_scores_gemma":[0.00007681246,0.000056017136,0.000034402045,0.0008863741,0.00002568995,0.00020046374,0.00017074954,0.00015842146,0.000008424842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009667014,0.000073327625,0.0073549096,0.00006876071,0.0000067082615,0.0000052816663,0.0017626963,0.000014928287,0.9813303,0.0006843509,0.0005168925,0.008172217],"study_design_scores_gemma":[0.00029587935,0.0002058072,0.27248254,0.00026234737,0.0000047958574,9.912386e-7,0.0033273904,0.000061147286,0.72113734,0.00083384494,0.0011766191,0.00021125512],"about_ca_topic_score_codex":0.0007162816,"about_ca_topic_score_gemma":0.00518335,"teacher_disagreement_score":0.26512763,"about_ca_system_score_codex":0.000025436857,"about_ca_system_score_gemma":0.000007846998,"threshold_uncertainty_score":0.2892431},"labels":[],"label_agreement":null},{"id":"W4390181824","doi":"10.3390/agriculture14010031","title":"Inclusion of Dried Black Soldier Fly Larvae in Free-Range Laying Hen Diets: Effects on Production Efficiency, Feed Safety, Blood Metabolites, and Hen Health","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Insect Utilization and Effects","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Mitacs; Kwantlen Polytechnic University","keywords":"Feed conversion ratio; Biology; Meal; Soybean meal; Animal science; Feces; Soybean oil; Nutrient; Feed additive; Food science; Weight gain; Blood meal; Animal feed; Body weight; Biotechnology; Ecology","score_opus":0.00978155157259285,"score_gpt":0.21660906271145014,"score_spread":0.20682751113885728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390181824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859022,0.0012365443,7.373971e-7,0.011454173,0.00026472498,0.00072143343,0.00003693917,0.00012855754,0.00025469463],"genre_scores_gemma":[0.99761677,0.0008732209,0.00002698632,0.0005965485,0.0002759106,0.000021504524,0.00020352351,0.0000022547147,0.0003832759],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983424,0.00026497254,0.00027944674,0.00040649108,0.0003342451,0.00037244134],"domain_scores_gemma":[0.99937403,0.00020012808,0.00013993277,0.0000862511,0.0000794157,0.000120215205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000627524,0.00019646,0.0003206447,0.0000461642,0.00038714273,0.000029803958,0.00018952265,0.00015857116,0.000020876165],"category_scores_gemma":[0.00033152683,0.000075098935,0.00006790824,0.0013662777,0.00005245885,0.00013238548,0.00030349902,0.00018828295,0.000012538145],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021992579,0.00073793775,0.018932754,0.00061951036,0.00005931751,0.000024764768,0.006863418,0.0003320882,0.8977062,0.0012236106,0.019454397,0.053826056],"study_design_scores_gemma":[0.001357184,0.0010936869,0.9489451,0.0006092831,0.00004657309,0.0000118884955,0.0013592037,0.00012910474,0.030891329,0.00087999925,0.014212233,0.00046441346],"about_ca_topic_score_codex":0.00048498955,"about_ca_topic_score_gemma":0.0005588414,"teacher_disagreement_score":0.93001235,"about_ca_system_score_codex":0.00003181516,"about_ca_system_score_gemma":0.000012783576,"threshold_uncertainty_score":0.30624458},"labels":[],"label_agreement":null},{"id":"W4390831641","doi":"10.3390/agriculture14010116","title":"Opportunities for Camelina Meal as a Livestock Feed Ingredient","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Lipid metabolism and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Institute of Food and Agriculture; South Dakota State University; U.S. Department of Agriculture","keywords":"Camelina; Camelina sativa; Canola; Meal; Food science; Soybean meal; Ingredient; Biofuel; Biology; Agronomy; Biotechnology; Crop; Raw material","score_opus":0.020161364715427472,"score_gpt":0.2420165775380898,"score_spread":0.22185521282266232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390831641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9800515,0.010246775,0.0002383154,0.002216164,0.0011964124,0.00047021115,0.0001418791,0.00009626512,0.005342481],"genre_scores_gemma":[0.97296655,0.00048453212,0.00077638036,0.00052125857,0.0026641835,0.00010987255,0.0003974959,0.000020252144,0.022059493],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992889,0.000018272282,0.00012687418,0.00027549706,0.00009835348,0.00019206338],"domain_scores_gemma":[0.99965984,0.000013764342,0.000025745334,0.00013296754,0.00008497297,0.000082692706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008904315,0.00014507599,0.000115764036,0.000023739063,0.0000816147,0.000060642335,0.00012345276,0.00016613606,0.000015739237],"category_scores_gemma":[0.0000573358,0.00008855939,0.00012483199,0.000057480396,0.000029487317,0.000004750767,0.00005599743,0.000058727088,0.000021387172],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003705969,0.0000427095,0.000013638334,0.00010429342,0.00011601568,0.000009240642,0.0002823198,0.0000019023576,0.7980274,0.0013792339,0.18418354,0.015802663],"study_design_scores_gemma":[0.00008507141,0.00009586184,0.00024301416,0.0000270805,0.000041800417,0.00002031192,0.0005153131,0.0000038875146,0.31225085,0.00004666464,0.6865401,0.00013000115],"about_ca_topic_score_codex":0.0000137269035,"about_ca_topic_score_gemma":0.00002209526,"teacher_disagreement_score":0.50235665,"about_ca_system_score_codex":0.0000069297184,"about_ca_system_score_gemma":0.00007973137,"threshold_uncertainty_score":0.36113474},"labels":[],"label_agreement":null},{"id":"W4390880798","doi":"10.3390/agriculture14010122","title":"Optimizing Silage Strategies for Sustainable Livestock Feed: Preserving Retail Food Waste","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Manitoba; University of Lethbridge","funders":"","keywords":"Silage; Food spoilage; Livestock; Dry matter; Food science; Animal feed; Mycotoxin; Food waste; Animal science; Biology","score_opus":0.02260294007410134,"score_gpt":0.22725882216483037,"score_spread":0.20465588209072902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390880798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9780751,0.0059322263,0.000082082785,0.00449158,0.00017901674,0.0007955768,0.00007984877,0.00036572703,0.009998854],"genre_scores_gemma":[0.9905649,0.00009528925,0.00024568549,0.00015702193,0.0007285826,0.00015075412,0.00020857106,0.0000020197065,0.007847169],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99878407,0.000045626068,0.00017805248,0.0004082652,0.00012465351,0.00045932044],"domain_scores_gemma":[0.999369,0.00024791202,0.000045566718,0.000050856102,0.00019261868,0.00009403365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011296311,0.00019756645,0.0001999164,0.000015127983,0.00033061238,0.00042724865,0.00025037467,0.00016151274,0.00013972905],"category_scores_gemma":[0.00004887853,0.00006552852,0.00017013511,0.00039730791,0.000041191823,0.00059021113,0.000099118646,0.00015839288,0.000018474133],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005998121,0.00012395545,0.000044741188,0.00037094502,0.000062578336,0.00003777006,0.0005720384,0.00021575272,0.77519864,0.11341122,0.1061591,0.0037432965],"study_design_scores_gemma":[0.00055988727,0.0036476073,0.010566253,0.0005508994,0.00012016778,0.000062810526,0.12995377,0.00071078324,0.032262675,0.06553015,0.754729,0.0013060082],"about_ca_topic_score_codex":0.000060782757,"about_ca_topic_score_gemma":0.00012722304,"teacher_disagreement_score":0.74293596,"about_ca_system_score_codex":0.000030063855,"about_ca_system_score_gemma":0.000017868833,"threshold_uncertainty_score":0.41199684},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.031348453863236564,"score_gpt":0.2549036083401539,"score_spread":0.22355515447691734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391139563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9653779,0.028749578,0.0000029925232,0.0043966724,0.000101820944,0.000604266,0.0003608311,0.000095512725,0.00031038054],"genre_scores_gemma":[0.99568313,0.0030589534,0.00020848436,0.00026661134,0.00017939128,0.00003269973,0.00042571512,0.0000021883166,0.00014281018],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99831027,0.00020794751,0.0005261861,0.00039386822,0.00027232675,0.0002894131],"domain_scores_gemma":[0.9988933,0.0005247825,0.00018399055,0.00010873749,0.00019060282,0.00009857496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018826246,0.00030571653,0.00055117504,0.00002836479,0.000077519886,0.0000899648,0.00030826422,0.0003140276,0.000052713625],"category_scores_gemma":[0.00003322534,0.00009898227,0.00018839196,0.0007126216,0.00010765185,0.00029650857,0.00013770623,0.00033406971,0.00000716177],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047912723,0.0003502461,0.0033701928,0.00041513622,0.0002849731,0.000035065572,0.0025860167,0.00004897679,0.854737,0.003976494,0.03163437,0.10251363],"study_design_scores_gemma":[0.00092776294,0.00051131524,0.66530085,0.001389209,0.00023383349,0.0001600272,0.0047619822,0.00017511222,0.015969276,0.0012847503,0.30842817,0.0008577207],"about_ca_topic_score_codex":0.00062192534,"about_ca_topic_score_gemma":0.0006516474,"teacher_disagreement_score":0.8387677,"about_ca_system_score_codex":0.000034411925,"about_ca_system_score_gemma":0.0000126089435,"threshold_uncertainty_score":0.40363798},"labels":[],"label_agreement":null},{"id":"W4391169863","doi":"10.3390/agriculture14020173","title":"Object Detection in Tomato Greenhouses: A Study on Model Generalization","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Agriculture and Agri-Food Canada","keywords":"Generalization; Greenhouse; Object (grammar); Computer science; Biology; Horticulture; Artificial intelligence; Mathematics","score_opus":0.01553193535774591,"score_gpt":0.22473309811010178,"score_spread":0.20920116275235587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391169863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971754,0.00023666334,0.000018526296,0.0006417962,0.00023357564,0.0004983354,0.000014364532,0.0005155341,0.00066581304],"genre_scores_gemma":[0.99839914,0.000021505568,0.0000114684035,0.00025773112,0.00055734126,0.000091290065,0.000053205207,0.0000022525915,0.0006060485],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99875987,0.00007134696,0.00020970042,0.00044566058,0.00026872198,0.0002447035],"domain_scores_gemma":[0.9997559,0.000051872463,0.00003092798,0.000051558232,0.00004763501,0.00006205802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012413612,0.0002120945,0.00016371509,0.000027033653,0.00012260927,0.00016193266,0.00015495763,0.00015115265,0.000027319016],"category_scores_gemma":[0.00001533742,0.00006008743,0.00009721697,0.0010801166,0.000008837943,0.00020332569,0.000034068355,0.00021060852,0.00012139129],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005766965,0.0012498692,0.009447164,0.00003350872,0.00007934762,0.00014517717,0.003268111,0.004844528,0.90449756,0.00078215206,0.028333211,0.047261704],"study_design_scores_gemma":[0.00047028446,0.0015245358,0.9377989,0.00022532503,0.00007990588,0.000056818844,0.0047401637,0.008766593,0.028788583,0.00096800656,0.0155797945,0.0010010485],"about_ca_topic_score_codex":0.00030577322,"about_ca_topic_score_gemma":0.011592682,"teacher_disagreement_score":0.92835176,"about_ca_system_score_codex":0.000060257786,"about_ca_system_score_gemma":0.000005676869,"threshold_uncertainty_score":0.64689887},"labels":[],"label_agreement":null},{"id":"W4391821886","doi":"10.3390/agriculture14020301","title":"Water Spinach (Ipomoea aquatica F.) Effectively Absorbs and Accumulates Microplastics at the Micron Level—A Study of the Co-Exposure to Microplastics with Varying Particle Sizes","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Nanjing Agricultural University; Tarim University; National Natural Science Foundation of China","keywords":"Spinach; Microplastics; Chemistry; Absorption (acoustics); Particle (ecology); Environmental chemistry; Food science; Biology; Materials science; Ecology; Biochemistry","score_opus":0.010106029107971957,"score_gpt":0.21456876522773355,"score_spread":0.2044627361197616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391821886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975143,0.00018095755,0.0005235662,0.0005801947,0.00020921986,0.00075799425,0.00009939162,0.000028245557,0.000106114756],"genre_scores_gemma":[0.99877495,0.000010343275,0.00019431126,0.00008136724,0.0000667477,0.00002249123,0.0000084112235,0.00002062449,0.0008207729],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984758,0.000115120696,0.00026185924,0.00042674277,0.0003371926,0.0003833192],"domain_scores_gemma":[0.9991567,0.00040117028,0.00006129775,0.0002529115,0.000027270362,0.00010062844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019700204,0.000280638,0.00021098035,0.0000183927,0.00042711696,0.00012453897,0.00024946628,0.00009290791,0.0001617387],"category_scores_gemma":[0.00006952544,0.00010717733,0.00004938066,0.0003139427,0.00020134565,0.00007959402,0.0003759529,0.0002470534,0.0002220399],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010223851,0.00016716875,0.017479628,0.000053557724,0.00009657905,0.000015406778,0.0057084993,0.009285396,0.9613662,0.000017159575,0.0053257286,0.00038248947],"study_design_scores_gemma":[0.0010987394,0.0017128475,0.26201695,0.00024932556,0.00048487718,0.00020311972,0.0011595687,0.0014363069,0.72067744,0.000048312224,0.010348693,0.0005638338],"about_ca_topic_score_codex":0.00026855347,"about_ca_topic_score_gemma":0.00061978516,"teacher_disagreement_score":0.24453734,"about_ca_system_score_codex":0.00011747288,"about_ca_system_score_gemma":0.000012469196,"threshold_uncertainty_score":0.43705645},"labels":[],"label_agreement":null},{"id":"W4392111287","doi":"10.3390/agriculture14030360","title":"Digital Image Analysis of Low-Temperature Responses in Sweet Corn Hybrid Seedlings","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Seedling growth and survival studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Chungbuk National University","keywords":"Digital image analysis; Biology; Agronomy; Horticulture; Botany; Computer science; Computer vision","score_opus":0.0046017376910201125,"score_gpt":0.20822362072258185,"score_spread":0.20362188303156173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392111287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99115926,0.0005333868,0.0000058615406,0.00039893723,0.000101085505,0.00008518183,0.00012684485,0.000056172383,0.0075332425],"genre_scores_gemma":[0.99713737,0.000051754298,0.00004879242,0.00007644784,0.00003938396,0.0000064992105,0.00007142502,0.0000066222874,0.0025617094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989572,0.000027683005,0.000206916,0.0003229756,0.00026997973,0.00021525283],"domain_scores_gemma":[0.9996452,0.00012591433,0.00003253456,0.00012388338,0.000014907149,0.000057581758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013036211,0.00015490313,0.00026102804,0.00009421371,0.000052669115,0.00009992584,0.00016083858,0.000064470965,0.00023161266],"category_scores_gemma":[0.00009777332,0.00009526164,0.00017216709,0.0017023099,0.000103471015,0.00025592055,0.00011353845,0.00018192215,0.00011611909],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013956976,0.00024980988,0.4781345,0.00012072487,0.00090616196,0.00045013483,0.0034249797,0.0012716654,0.45431232,0.00010841298,0.058329005,0.0025526907],"study_design_scores_gemma":[0.00012632275,0.000043263837,0.9790451,0.0000707468,0.00018106427,0.000008631767,0.00059504795,0.00023695854,0.013069206,0.00009488521,0.0062618223,0.00026694918],"about_ca_topic_score_codex":0.0001825592,"about_ca_topic_score_gemma":0.0002080776,"teacher_disagreement_score":0.5009106,"about_ca_system_score_codex":0.00005966482,"about_ca_system_score_gemma":0.0000061905557,"threshold_uncertainty_score":0.3884657},"labels":[],"label_agreement":null},{"id":"W4392601386","doi":"10.3390/agriculture14030445","title":"Trends in Soil Science over the Past Three Decades (1992–2022) Based on the Scientometric Analysis of 39 Soil Science Journals","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Citation; Popularity; Library science; Political science; Computer science","score_opus":0.02359604140186365,"score_gpt":0.2709541168926591,"score_spread":0.24735807549079541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392601386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903686,0.000914583,0.0000025080203,0.0063468767,0.0002316001,0.00011582866,0.000050708997,0.00004279771,0.0019265087],"genre_scores_gemma":[0.99903256,0.000054610737,0.0000078676085,0.00060336076,0.00015088577,0.00001541844,0.000013194076,0.000001247695,0.00012085389],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.996456,0.000091516195,0.00034509227,0.00062612153,0.0018957675,0.0005854627],"domain_scores_gemma":[0.99859405,0.0006446901,0.00014497449,0.00020840307,0.00025546193,0.00015240572],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0030628406,0.00022878064,0.0002716617,0.001178321,0.0007571569,0.0007448097,0.0016488897,0.000100253965,0.00035091906],"category_scores_gemma":[0.0003162718,0.000053596832,0.00035917517,0.08719975,0.0011166938,0.00030450794,0.00019472935,0.00043742394,0.00000901854],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004025979,0.0004165595,0.30496025,0.000015752665,0.00020430377,0.00002966941,0.00066077407,0.008745294,0.5722908,0.0075026355,0.00333311,0.101800576],"study_design_scores_gemma":[0.000055318233,0.00008470108,0.9410641,0.0000422428,0.00012713228,0.0000039647934,0.0003276263,0.05469043,0.0029779589,0.00018394484,0.00028215116,0.00016042595],"about_ca_topic_score_codex":0.0009576282,"about_ca_topic_score_gemma":0.009058868,"teacher_disagreement_score":0.63610387,"about_ca_system_score_codex":0.00015967607,"about_ca_system_score_gemma":0.00008446076,"threshold_uncertainty_score":0.9322023},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.05409298709067897,"score_gpt":0.32826721670240067,"score_spread":0.27417422961172166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392912249","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000009582217,0.997501,2.0012175e-8,0.00047192306,0.00013537184,0.0010271004,0.00007379434,0.00016383223,0.00061734155],"genre_scores_gemma":[0.0000034477691,0.9972682,0.00004747046,0.0002193188,0.0004661656,0.00027227914,0.00076090347,0.0000032797338,0.00095892523],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975976,0.0002656797,0.000993583,0.0005350634,0.00027623714,0.00033183536],"domain_scores_gemma":[0.9989434,0.00029654245,0.0004658985,0.000081499486,0.00014836746,0.000064325926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004278001,0.00060489844,0.002473871,0.000040270068,0.00006720205,0.00003332157,0.00045343596,0.0003978762,0.000085823034],"category_scores_gemma":[0.00020269386,0.00013422071,0.0008535837,0.001964174,0.000045221823,0.000085304964,0.0002421786,0.00090966595,0.00010409755],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.7256866e-7,0.00006475734,0.000006649589,0.21101236,0.00017638542,0.000028721637,0.00005441143,1.4851728e-8,0.0001048268,0.000065004686,0.05079908,0.7376871],"study_design_scores_gemma":[0.0000107433425,0.000075676486,0.000006496491,0.28401095,0.00066915574,0.000050555045,0.00007510239,4.9509158e-8,0.000010909109,0.00003570212,0.7147808,0.00027384004],"about_ca_topic_score_codex":0.000060347546,"about_ca_topic_score_gemma":0.00035973103,"teacher_disagreement_score":0.7374133,"about_ca_system_score_codex":0.00007654275,"about_ca_system_score_gemma":0.000016668548,"threshold_uncertainty_score":0.5473362},"labels":[],"label_agreement":null},{"id":"W4393217286","doi":"10.3390/agriculture14040527","title":"Artificial Adult Diet as a New Tool for Improving a Biocontrol Program with Predatory Hoverflies","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vineland Research and Innovation Centre; Université du Québec à Montréal","funders":"Government of Canada; Université du Québec à Montréal","keywords":"Biological pest control; Biology; Ecology; Natural enemies; Predation; Zoology","score_opus":0.015194943299752375,"score_gpt":0.20706781597288468,"score_spread":0.1918728726731323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393217286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905303,0.0018055385,0.000008543154,0.0050479067,0.00011178431,0.0012091013,0.00022085109,0.0005119886,0.0005539496],"genre_scores_gemma":[0.9945594,0.00003685635,0.00032398765,0.00030706992,0.0017254958,0.00030881254,0.0001056633,0.0000017878766,0.0026309113],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989965,0.0000117563395,0.00014340469,0.00035694792,0.00016633587,0.00032503973],"domain_scores_gemma":[0.9996489,0.00010678949,0.000040370225,0.000018491854,0.00008800978,0.0000974103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053527718,0.00020089894,0.00017941074,0.0000062949784,0.0002394371,0.00030052476,0.00013705218,0.0001102208,0.000039958246],"category_scores_gemma":[0.000067223074,0.000052353033,0.0001225643,0.00024393914,0.00003380151,0.00016799085,0.00003872678,0.00012038026,0.000043385753],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069176924,0.00017360038,0.0011752591,0.0001333776,0.00016782928,0.000034301596,0.0003491224,0.0000016909494,0.4267217,0.0043425765,0.08730694,0.47890186],"study_design_scores_gemma":[0.0003755222,0.007158194,0.0573054,0.00028825217,0.00022945643,0.000047687117,0.0014111828,0.00024326632,0.011757839,0.0016231097,0.91856414,0.000995939],"about_ca_topic_score_codex":0.0002400798,"about_ca_topic_score_gemma":0.002460844,"teacher_disagreement_score":0.8312572,"about_ca_system_score_codex":0.000016475089,"about_ca_system_score_gemma":0.000022527709,"threshold_uncertainty_score":0.2897967},"labels":[],"label_agreement":null},{"id":"W4394822175","doi":"10.3390/agriculture14040611","title":"The Impact of Digital Finance on Farmers’ Adoption of Eco-Agricultural Technology: Evidence from Rice-Crayfish Co-Cultivation Technology in China","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Agriculture; Business; Promotion (chess); Financial services; Scarcity; Agricultural machinery; Resource (disambiguation); China; Survey data collection; Economics; Agricultural economics; Finance","score_opus":0.011769465018027992,"score_gpt":0.23698888685604322,"score_spread":0.22521942183801522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394822175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98427063,0.01156651,0.00017723444,0.0021288486,0.00020811205,0.00032660007,0.00042855853,0.00006208564,0.0008314433],"genre_scores_gemma":[0.9959482,0.0035238415,0.00008046779,0.0000063259595,0.00007526093,0.00003453032,0.00009745161,0.000011305459,0.0002226209],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848706,0.000009705147,0.0006935279,0.00045637987,0.000066662185,0.00028668938],"domain_scores_gemma":[0.9990709,0.00009194398,0.00044341883,0.00029106194,0.00008385388,0.000018835008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001860422,0.00023274227,0.00042802724,0.00026159265,0.00012622298,0.000066228364,0.00040841897,0.0004188278,0.000013444457],"category_scores_gemma":[0.00023434857,0.00014076038,0.0001985864,0.0019696052,0.00015506719,0.00051377073,0.000096100026,0.0004370182,0.00011487552],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029953552,0.00089315494,0.5164294,0.00023991929,0.0003102652,0.000039934752,0.0040407404,0.0020028304,0.18710242,0.20572911,0.02637201,0.056540653],"study_design_scores_gemma":[0.0003094852,0.00040707385,0.9515619,0.0007326049,0.000008028657,0.000008006312,0.00042127763,0.00016119126,0.011596818,0.030668017,0.0038001533,0.00032540897],"about_ca_topic_score_codex":0.00043155826,"about_ca_topic_score_gemma":0.00003842409,"teacher_disagreement_score":0.4351325,"about_ca_system_score_codex":0.00024652723,"about_ca_system_score_gemma":0.000027912016,"threshold_uncertainty_score":0.5740042},"labels":[],"label_agreement":null},{"id":"W4395071847","doi":"10.3390/agriculture14050659","title":"Using Cover Crops as Means of Controlling Weeds and Reducing the Applied Quantity of Glyphosate-Based Herbicide in No-Till Glyphosate Tolerant Soybean and Corn","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Glyphosate; Agronomy; Context (archaeology); Weed control; Weed; Cover crop; Crop; Interspecific competition; Biology; No-till farming; Environmental science; Soil water; Soil fertility; Ecology","score_opus":0.01602265440638967,"score_gpt":0.23014023613782653,"score_spread":0.21411758173143686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395071847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948655,0.0020111836,0.000034561763,0.001680186,0.000053025735,0.0004490758,0.000049790073,0.000032790027,0.0008239362],"genre_scores_gemma":[0.9994384,0.000017394268,0.00015233064,0.00018914495,0.0001107778,0.000019514826,0.000019422456,0.0000020253585,0.00005100224],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99885917,0.000052702733,0.00036380018,0.00031841538,0.00018278381,0.00022311721],"domain_scores_gemma":[0.99931127,0.00031725087,0.00013217641,0.00007411391,0.000104179344,0.000060994524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029582792,0.00018122824,0.0003414313,0.000019455565,0.0001490424,0.00007957628,0.00015144263,0.0001286135,0.000053348012],"category_scores_gemma":[0.00002844528,0.00005952772,0.00008246931,0.00043770464,0.00013661064,0.0000811609,0.00004645153,0.00020604856,0.0000050038357],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008031656,0.000039733382,0.0005458365,0.000054932352,0.000030482186,0.0000026292423,0.0002842925,0.00028790857,0.9930398,0.0038557362,0.000083677616,0.0016946525],"study_design_scores_gemma":[0.0034142411,0.00080151134,0.7670834,0.001738213,0.0006483133,0.00007643355,0.0043490296,0.050274678,0.14999393,0.006217834,0.013971724,0.001430676],"about_ca_topic_score_codex":0.016483817,"about_ca_topic_score_gemma":0.0021553177,"teacher_disagreement_score":0.8430459,"about_ca_system_score_codex":0.000020556077,"about_ca_system_score_gemma":0.00002080194,"threshold_uncertainty_score":0.9900655},"labels":[],"label_agreement":null},{"id":"W4396584413","doi":"10.3390/agriculture14050688","title":"A New Dissimilarity Metric for Anomaly Detection in Management Zones Delineation Constructed from Time-Varying Satellite Images","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Mitacs","keywords":"Zoning; Metric (unit); Anomaly detection; Field (mathematics); Satellite; Computer science; Data mining; Anomaly (physics); Process (computing); Satellite imagery; Remote sensing; Geography; Mathematics; Engineering","score_opus":0.00467664300590995,"score_gpt":0.20692374538492678,"score_spread":0.20224710237901683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396584413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8717566,0.0030618864,0.10906146,0.0024706316,0.0013017453,0.002683919,0.00013140225,0.0008434818,0.008688889],"genre_scores_gemma":[0.9054172,0.00020396411,0.08776279,0.000085626925,0.00032424397,0.000014544332,0.0003558747,0.000024481782,0.005811282],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99867076,0.000045888177,0.0002546269,0.0005245775,0.0002580583,0.00024607382],"domain_scores_gemma":[0.99960756,0.000091070506,0.000058896927,0.00014381525,0.000017835566,0.000080790276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010668238,0.00021630613,0.00016959933,0.0000782784,0.000097617216,0.0001706448,0.00013896848,0.00016896069,0.0002129793],"category_scores_gemma":[0.000034218152,0.00013936,0.000094869865,0.0012490453,0.000029117402,0.00032577,0.00007925549,0.00018493968,0.00020335245],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047814607,0.00006314818,0.0065268385,0.00009697902,0.00011136545,0.000069124595,0.00067899167,0.0027515383,0.32601085,0.000037299957,0.035908055,0.627698],"study_design_scores_gemma":[0.0008048946,0.00007550753,0.8613551,0.00031716345,0.00024873897,0.000057739537,0.00037814307,0.013164364,0.066233836,0.0017645708,0.054835368,0.00076453376],"about_ca_topic_score_codex":0.0012225393,"about_ca_topic_score_gemma":0.00034506797,"teacher_disagreement_score":0.8548283,"about_ca_system_score_codex":0.00026129227,"about_ca_system_score_gemma":0.00000573598,"threshold_uncertainty_score":0.5682936},"labels":[],"label_agreement":null},{"id":"W4397005299","doi":"10.3390/agriculture14050773","title":"Soil-Specific Calibration Using Plate Compression Filling Technique and Monitoring Soil Biomass Degradation Based on Dielectric Properties","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Calibration; Environmental science; Degradation (telecommunications); Biomass (ecology); Dielectric; Soil science; Remote sensing; Soil test; Materials science; Soil water; Geology; Agronomy; Engineering; Electronic engineering; Biology; Optoelectronics; Mathematics","score_opus":0.018293263048497353,"score_gpt":0.21110260577279005,"score_spread":0.1928093427242927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4397005299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98626375,0.0011473937,0.010239693,0.00028804963,0.00032723404,0.0003099921,0.0000011481161,0.00020626401,0.0012164523],"genre_scores_gemma":[0.99774164,0.00007003413,0.0018286372,0.000024111887,0.00018550764,0.0000036134472,0.00001413736,0.000013915912,0.00011840341],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991211,0.00004436263,0.00013248256,0.00031031237,0.00022317928,0.00016853698],"domain_scores_gemma":[0.9997844,0.000030729094,0.000038388043,0.000091723974,0.000008467607,0.000046257246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008135914,0.00015564158,0.00009585474,0.000053499196,0.00025409888,0.00014845804,0.00005420949,0.0001353222,0.0000053559984],"category_scores_gemma":[0.000007053806,0.00009027643,0.000034781813,0.00038056797,0.000037385063,0.00023650313,0.000034502344,0.00018714098,0.0000076276324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009474371,0.000014638929,0.0010350225,0.000030785977,0.00000431736,0.000012551276,0.00017184332,0.012251489,0.97194237,0.0000044835388,0.00036944344,0.014153614],"study_design_scores_gemma":[0.00008174635,0.00004208617,0.011865419,0.00053692446,0.000017100998,0.000025733323,0.00007035996,0.21416584,0.77182126,0.000045242694,0.0011175906,0.00021070821],"about_ca_topic_score_codex":0.00028921725,"about_ca_topic_score_gemma":0.000043750297,"teacher_disagreement_score":0.20191436,"about_ca_system_score_codex":0.00012420895,"about_ca_system_score_gemma":0.0000067388705,"threshold_uncertainty_score":0.3681366},"labels":[],"label_agreement":null},{"id":"W4399967070","doi":"10.3390/agriculture14070976","title":"Reactivating the Potential of Lima Bean (Phaseolus lunatus) for Enhancing Soil Quality and Sustainable Soil Ecosystem Stability","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Prince Edward Island","funders":"","keywords":"Phaseolus; Ecosystem; Soil quality; Agroforestry; Agronomy; Environmental science; Biology; Ecology; Soil water","score_opus":0.019805286782676658,"score_gpt":0.2510723830398462,"score_spread":0.23126709625716954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399967070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939073,0.0013032696,0.0001213121,0.0030109817,0.00027260475,0.0005156023,0.00008910737,0.0000687091,0.0007111356],"genre_scores_gemma":[0.99851733,0.000031760348,0.000021221478,0.000055736407,0.0005871137,0.00004296936,0.000043678992,0.0000015977929,0.00069861213],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99847,0.00019235363,0.00044584856,0.00037560452,0.00016427487,0.00035190117],"domain_scores_gemma":[0.9986717,0.00075579627,0.00022206671,0.00008182334,0.00020563888,0.000062976804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001546208,0.00016613629,0.0002601885,0.000007179138,0.00038916446,0.0002343766,0.00020792404,0.00013315614,0.000034760775],"category_scores_gemma":[0.00026833685,0.000047985774,0.00016332605,0.00019104638,0.000042711577,0.0003748062,0.00012317112,0.00020059309,0.000002701166],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005610783,0.00006094287,0.00030882916,0.0006250714,0.00008551617,0.0000031383172,0.00081087026,0.000018277246,0.98255855,0.003588094,0.0026991612,0.009185462],"study_design_scores_gemma":[0.0011874724,0.0019075265,0.14162515,0.0017228333,0.00050770707,0.00024367232,0.27270958,0.005612595,0.2874453,0.00393028,0.28110224,0.0020056188],"about_ca_topic_score_codex":0.0025615934,"about_ca_topic_score_gemma":0.0034872228,"teacher_disagreement_score":0.6951132,"about_ca_system_score_codex":0.00007772773,"about_ca_system_score_gemma":0.000022011829,"threshold_uncertainty_score":0.38723803},"labels":[],"label_agreement":null},{"id":"W4400212507","doi":"10.3390/agriculture14071035","title":"Perennial Grains and Oilseeds: Current Status and Future Prospects","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Perennial plant; Agronomy; Agriculture; Productivity; Environmental science; Biology; Agroforestry; Ecology; Economics","score_opus":0.003210967101828439,"score_gpt":0.2235177034462141,"score_spread":0.22030673634438566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400212507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9227453,0.075157814,0.000011705489,0.00082812906,0.00043321628,0.00017245731,0.00004178585,0.00003790402,0.00057169877],"genre_scores_gemma":[0.99093056,0.0063092825,0.000095500895,0.000103462036,0.0018787029,0.000022286926,0.00015656983,0.000013042228,0.00049057766],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992725,0.000024295672,0.000074942225,0.000336392,0.00008060952,0.00021120587],"domain_scores_gemma":[0.9997169,0.000005635628,0.000014060733,0.000095985764,0.00003202021,0.00013541075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000040204708,0.00015641103,0.00009940284,0.000019286397,0.00007468217,0.00010905546,0.00004549112,0.00012737076,0.0000084887615],"category_scores_gemma":[0.000010614196,0.0000953651,0.00004585729,0.00008813464,0.000048431117,0.0000054670386,0.0000641132,0.0001510207,0.000005933019],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039752136,0.00007338642,0.003331305,0.0003087796,0.000122036654,0.000032776814,0.0005381996,2.7135346e-7,0.82993704,0.0048763533,0.049374007,0.111366116],"study_design_scores_gemma":[0.00031444206,0.00020768965,0.01851721,0.000038822254,0.000040791238,0.00008218411,0.00016532933,0.000009567941,0.02068953,0.00018468108,0.95949477,0.00025498835],"about_ca_topic_score_codex":0.0000036540741,"about_ca_topic_score_gemma":0.000023182321,"teacher_disagreement_score":0.9101208,"about_ca_system_score_codex":0.0000068504683,"about_ca_system_score_gemma":0.000029895,"threshold_uncertainty_score":0.3888876},"labels":[],"label_agreement":null},{"id":"W4400284512","doi":"10.3390/agriculture14071072","title":"Effect of Buried Straw Bioreactor Technology on CO2 Efflux and Indian Cowpea Yields","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Fujian Academy of Agricultural Sciences","keywords":"Straw; Bioreactor; Environmental science; Rice straw; Agronomy; Efflux; Pulp and paper industry; Biology; Chemistry; Botany; Engineering","score_opus":0.004612088186328149,"score_gpt":0.21049084682529534,"score_spread":0.20587875863896718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400284512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99522674,0.0005431129,6.787985e-8,0.002406612,0.00012656214,0.00020044907,0.000075145996,0.00013764996,0.0012836319],"genre_scores_gemma":[0.99943334,0.000041807125,0.0000021869225,0.000049018545,0.00017979486,0.000011049811,0.000056021658,7.119546e-7,0.00022607965],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99921465,0.00004438907,0.00014080913,0.00028873797,0.00012756759,0.00018381847],"domain_scores_gemma":[0.9995102,0.00030666636,0.000030160192,0.000054616892,0.000030359994,0.00006797021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001343665,0.00015724859,0.00020814585,0.000017975362,0.00007757744,0.00005092584,0.00013715417,0.0003202058,0.00012582968],"category_scores_gemma":[0.00005755498,0.00004253382,0.00007242252,0.00039965948,0.00009288954,0.000048834263,0.000044629684,0.0002626116,0.000023581651],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007723151,0.00007704478,0.010425037,0.00014769161,0.00004894619,0.000034675406,0.00018414379,3.4826837e-7,0.860519,0.0016954641,0.0048141466,0.12197626],"study_design_scores_gemma":[0.00031898113,0.0043133255,0.39043477,0.00032894235,0.00008103937,0.000058168214,0.0005128821,0.000007688566,0.5115348,0.00060907163,0.091320634,0.00047968898],"about_ca_topic_score_codex":0.00014002279,"about_ca_topic_score_gemma":0.00018803967,"teacher_disagreement_score":0.38000974,"about_ca_system_score_codex":0.000011380709,"about_ca_system_score_gemma":0.000004020682,"threshold_uncertainty_score":0.24697205},"labels":[],"label_agreement":null},{"id":"W4400939787","doi":"10.3390/agriculture14081218","title":"Why Do Farmers Not Irrigate All the Areas Equipped for Irrigation? Lessons from Southern Africa","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"Water Research Commission","keywords":"Irrigation; Geography; Agroforestry; Agricultural economics; Environmental science; Agronomy; Water resource management; Biology; Economics","score_opus":0.02781571634413218,"score_gpt":0.2380204885514291,"score_spread":0.2102047722072969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400939787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5006436,0.0040208315,0.000055980276,0.47495222,0.0026739028,0.0021129681,0.0050839554,0.0008516075,0.009604937],"genre_scores_gemma":[0.9792011,0.000121069344,0.000049424456,0.002002526,0.0018164004,0.00009778928,0.00084188895,0.0000030977114,0.015866734],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99883986,0.00003422365,0.0001798163,0.00038051687,0.0002254045,0.0003401699],"domain_scores_gemma":[0.99950695,0.00019476889,0.000055392484,0.00007092165,0.00006970882,0.00010223927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012495427,0.00020654385,0.00016001717,0.0000058186147,0.00044158724,0.00033647614,0.00034790274,0.00018402991,0.00034212737],"category_scores_gemma":[0.000009618842,0.000025776617,0.00024268645,0.0002458992,0.00006291651,0.00011132568,0.000052703934,0.00018600172,0.00013611325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000107208565,0.00021250057,0.00018045487,0.00005205356,0.0006616572,0.00003256154,0.008649959,0.0000406921,0.3879924,0.022231115,0.4457954,0.13404399],"study_design_scores_gemma":[0.00010176464,0.000067460576,0.0031423362,0.000047131594,0.00007245246,0.000005008139,0.0019237938,0.000052168627,0.0009621201,0.016953874,0.9764558,0.00021610764],"about_ca_topic_score_codex":0.00087855395,"about_ca_topic_score_gemma":0.0013306038,"teacher_disagreement_score":0.5306604,"about_ca_system_score_codex":0.00002245814,"about_ca_system_score_gemma":0.000007987898,"threshold_uncertainty_score":0.37460548},"labels":[],"label_agreement":null},{"id":"W4401595141","doi":"10.3390/agriculture14081363","title":"Effects of Harvest Date and Ensiling Additives on the Optimized Ensiling of Silphium Perfoliatum to Prevent Faulty Fermentation","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Rural Affairs","keywords":"Fermentation; Biology; Agronomy; Food science","score_opus":0.0050390469126310585,"score_gpt":0.19975404084946738,"score_spread":0.19471499393683633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401595141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99698037,0.0011074753,0.00007131434,0.0007210234,0.00046592575,0.00037629827,0.000020496751,0.000057862217,0.0001992273],"genre_scores_gemma":[0.99892086,0.00027314803,0.00030066035,0.000035604462,0.00010231504,0.000010280465,0.000022547027,0.000006863246,0.00032771842],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99953955,0.000027502268,0.000115267074,0.00013924655,0.000098570614,0.000079879435],"domain_scores_gemma":[0.9997822,0.000065118504,0.000019879155,0.00006707727,0.000036054666,0.000029675562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006801552,0.0000980486,0.00010556055,0.000035063975,0.000033152523,0.000020419462,0.000042364434,0.00005579786,0.000017051927],"category_scores_gemma":[0.000029474133,0.00005295106,0.000040298622,0.00014037362,0.000018429382,0.000070215465,0.000019605654,0.00011678205,0.0000075308913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016073991,0.000025927227,0.0000063449424,0.0007756427,0.000059048543,0.0000017806763,0.0012242262,0.0028756892,0.98748654,0.00013358104,0.0060569565,0.001338183],"study_design_scores_gemma":[0.00012693688,0.000064002794,0.0038548664,0.00037375008,0.000042666084,0.0000034433444,0.00063400407,0.0017866173,0.98995334,0.000010696351,0.0030612343,0.00008842636],"about_ca_topic_score_codex":0.0000057937064,"about_ca_topic_score_gemma":7.00191e-7,"teacher_disagreement_score":0.0038485215,"about_ca_system_score_codex":0.000012329522,"about_ca_system_score_gemma":0.000003830233,"threshold_uncertainty_score":0.21592817},"labels":[],"label_agreement":null},{"id":"W4401727885","doi":"10.3390/agriculture14081412","title":"LettuceNet: A Novel Deep Learning Approach for Efficient Lettuce Localization and Counting","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Shanghai Academy of Agricultural Sciences","keywords":"Artificial intelligence; Deep learning; Computer science; Biology","score_opus":0.009758549558423977,"score_gpt":0.24172028349674832,"score_spread":0.23196173393832434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401727885","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005001781,0.0031501865,0.994791,0.00025541201,0.000072862786,0.0002841179,0.0000016520275,0.00054056273,0.00040406658],"genre_scores_gemma":[0.6099203,0.0001410314,0.38863978,0.00041724843,0.00028753973,0.000079947386,0.000042101543,0.000019927307,0.00045211133],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991238,0.000013278555,0.00012596657,0.0003892446,0.00015027961,0.00019744366],"domain_scores_gemma":[0.9996494,0.000064001084,0.00003944345,0.00010282149,0.00010377658,0.00004055353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017100835,0.00012704074,0.00010567935,0.000045357036,0.00018414095,0.00032225324,0.0001878637,0.00007700087,5.935056e-7],"category_scores_gemma":[0.00006361676,0.000085532294,0.000044148503,0.00046183195,0.000020755086,0.00030331692,0.00009754371,0.0001597546,0.0000017709192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018502871,0.00026610037,0.00019305378,0.0012038632,0.00010368809,0.0000244827,0.0046364097,0.08958665,0.19930619,0.20424981,0.010465374,0.4899459],"study_design_scores_gemma":[0.00013085677,0.0000620545,0.00014351546,0.00007195194,0.000013158381,0.000048959395,0.000069460104,0.89928365,0.012725851,0.00033122743,0.08690075,0.0002185555],"about_ca_topic_score_codex":0.000003854891,"about_ca_topic_score_gemma":5.007107e-7,"teacher_disagreement_score":0.80969703,"about_ca_system_score_codex":0.000031286065,"about_ca_system_score_gemma":0.000010683274,"threshold_uncertainty_score":0.34879056},"labels":[],"label_agreement":null},{"id":"W4403335593","doi":"10.3390/agriculture14101785","title":"A Multi-View Real-Time Approach for Rapid Point Cloud Acquisition and Reconstruction in Goats","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Beijing Academy of Agricultural and Forestry Sciences","keywords":"Point cloud; Computer science; Cloud computing; Noise (video); Point (geometry); Data acquisition; Computer vision; Remote sensing; Extraction (chemistry); Real-time computing; Artificial intelligence; Simulation; Algorithm; Mathematics; Geography; Image (mathematics)","score_opus":0.03246934760294843,"score_gpt":0.2929750546089028,"score_spread":0.2605057070059543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403335593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98709315,0.006393041,0.00043000025,0.0007742724,0.00041633702,0.0011864417,0.00015288993,0.00033139565,0.0032224646],"genre_scores_gemma":[0.9928472,0.0008306186,0.0054170364,0.00003101375,0.00027767118,0.00018062975,0.00013351082,0.000014272178,0.00026802823],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99922955,0.000040401934,0.00017418237,0.00032476298,0.00006431209,0.00016678205],"domain_scores_gemma":[0.99979424,0.000028448516,0.00002849658,0.00006868183,0.000044979286,0.000035164067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012578955,0.00015278893,0.000191107,0.0000414849,0.00009285715,0.000048514517,0.000042306066,0.00012450901,0.000065574655],"category_scores_gemma":[0.000009068181,0.00009905682,0.00007907637,0.0001533509,0.00004066861,0.00015942173,0.000038862585,0.000116678704,0.000021792213],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063321175,0.00044034005,0.004522424,0.0018617609,0.00023306369,0.00018571485,0.0063874475,0.0000046048694,0.8286656,0.00454383,0.047584962,0.10493701],"study_design_scores_gemma":[0.0023787161,0.0018924726,0.96901035,0.001070837,0.00041851634,0.0028944323,0.005701744,0.0024314066,0.0009641735,0.0006524231,0.011300678,0.0012842468],"about_ca_topic_score_codex":0.000049697897,"about_ca_topic_score_gemma":0.0000061798587,"teacher_disagreement_score":0.9644879,"about_ca_system_score_codex":0.000052690288,"about_ca_system_score_gemma":0.0000061187598,"threshold_uncertainty_score":0.403942},"labels":[],"label_agreement":null},{"id":"W4404020156","doi":"10.3390/agriculture14111976","title":"The Effect of Varying Compaction Levels on Soil Dynamic Properties and the Growth of Canola (Brassica napus L.)","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Soil Management and Crop Yield","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Canola; Brassica; Agronomy; Compaction; Soil compaction; Rapeseed; Biology; Botany; Mathematics; Materials science; Composite material","score_opus":0.011515248919692673,"score_gpt":0.19368929940897017,"score_spread":0.1821740504892775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404020156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906801,0.0017791594,4.1230064e-7,0.0055426094,0.00013472531,0.00023089323,0.000006677298,0.00003259543,0.0015928498],"genre_scores_gemma":[0.99868715,0.00013771924,4.6705154e-7,0.00003860563,0.00007188049,0.00001689031,0.000004504464,6.0110165e-7,0.0010421955],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994004,0.000095981624,0.00010707768,0.00012707393,0.0001587809,0.000110734996],"domain_scores_gemma":[0.99940044,0.00046560456,0.000052678977,0.000035013083,0.00002967368,0.000016595837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015642736,0.00010191077,0.00013164914,0.000005295435,0.00019862,0.00008186465,0.00014748529,0.00004818513,0.00000792529],"category_scores_gemma":[0.00003570765,0.000017692868,0.000079148,0.0002230515,0.00012956145,0.000060252085,0.00004276547,0.00011625587,0.0000032841265],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040069918,0.000033187192,0.0018604929,0.00025849146,0.0002323216,0.0000029351995,0.0005588564,0.000026585869,0.8684397,0.0048439596,0.01809768,0.105245136],"study_design_scores_gemma":[0.001512337,0.0029165335,0.58138466,0.0011776093,0.00050813344,0.00002223575,0.0033096452,0.0015496489,0.38628387,0.0017173014,0.018931998,0.00068599824],"about_ca_topic_score_codex":0.00037386388,"about_ca_topic_score_gemma":0.0004997069,"teacher_disagreement_score":0.5795242,"about_ca_system_score_codex":0.000009297746,"about_ca_system_score_gemma":0.0000019280449,"threshold_uncertainty_score":0.15276445},"labels":[],"label_agreement":null},{"id":"W4404020234","doi":"10.3390/agriculture14111969","title":"Application of a Multi-Spectral UAV Imagery in Germplasm Characterization: Prediction of Forage Biomass and Growth Patterns of Cicer Milkvetch (Astragalus cicer L.) Populations","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"Saskatchewan Cattlemen's Association; Ministry of Agriculture - Saskatchewan","keywords":"Germplasm; Forage; Biomass (ecology); Astragalus; Biology; Agronomy; Fabaceae; Botany","score_opus":0.009062296730906631,"score_gpt":0.2161962020392917,"score_spread":0.20713390530838507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404020234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938213,0.00007748308,0.004887143,0.00023246699,0.0001490182,0.00039925295,0.00024256513,0.000037011454,0.00015373052],"genre_scores_gemma":[0.99811274,0.000044737008,0.0014055121,0.000009364804,0.00005371973,0.0000075919565,0.00021779713,0.000010124458,0.00013843937],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988448,0.00004022909,0.00040545565,0.0003111826,0.0002516844,0.00014666749],"domain_scores_gemma":[0.99956757,0.000023570938,0.00018317948,0.00013983485,0.000041782438,0.00004407524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009444261,0.00015471944,0.00020079999,0.00006917879,0.000031584033,0.000017659791,0.00009815758,0.00016043443,0.00003949586],"category_scores_gemma":[0.0000143398465,0.00010545246,0.000066418215,0.000623874,0.00007359854,0.00029731067,0.00005599688,0.00013910196,0.0000047260746],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058180444,0.00009092402,0.18995923,0.00013729469,0.000014037167,0.0000030194112,0.0009361672,0.00012252608,0.8072571,0.00012812164,0.00017955693,0.0011661687],"study_design_scores_gemma":[0.00018233887,0.000031629763,0.96664417,0.00011854495,0.000033329547,0.000030151488,0.00008676246,0.0031090325,0.029419262,0.00006506153,0.00017804214,0.00010165424],"about_ca_topic_score_codex":0.0006943766,"about_ca_topic_score_gemma":0.00031058618,"teacher_disagreement_score":0.7778379,"about_ca_system_score_codex":0.00007172182,"about_ca_system_score_gemma":0.0000062697404,"threshold_uncertainty_score":0.43002266},"labels":[],"label_agreement":null},{"id":"W4404417896","doi":"10.3390/agriculture14112056","title":"The Effect of Microplastics with Different Types, Particle Sizes, and Concentrations on the Germination of Non-Heading Chinese Cabbage Seed","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Microplastics; Germination; Heading (navigation); Biology; Particle (ecology); Agronomy; Botany; Ecology; Geography","score_opus":0.002004184892962902,"score_gpt":0.18254825095692473,"score_spread":0.18054406606396184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404417896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986778,0.00014999662,0.00036475694,0.00025128125,0.00008176978,0.00017264287,0.000027690507,0.00000648195,0.00026761423],"genre_scores_gemma":[0.9997366,0.000031658656,0.000013766239,0.000007720678,0.000021488664,0.000006325183,0.0000055269247,0.0000032852354,0.00017364281],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99955267,0.00003729545,0.00009552861,0.00009611671,0.00012541718,0.0000929861],"domain_scores_gemma":[0.99917483,0.00068295473,0.00004216598,0.000067743495,0.0000071185086,0.000025204807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009192433,0.00008327273,0.000076072734,0.000004476202,0.000121829275,0.000029222452,0.000055465774,0.000030399791,0.000026257134],"category_scores_gemma":[0.00006033363,0.000027850469,0.000018740657,0.00014052152,0.00011451464,0.000028995892,0.000023342149,0.00008344562,0.0000074232626],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062927546,0.000031788004,0.046581984,0.00005726742,0.000045119006,0.0000032323612,0.00078592205,0.0014119099,0.94613224,0.0017939217,0.0019592068,0.001134454],"study_design_scores_gemma":[0.00031430845,0.0005818209,0.79057485,0.00016152348,0.00010714036,0.000019782095,0.00008262222,0.018898983,0.18812081,0.00006988299,0.0009460177,0.00012225368],"about_ca_topic_score_codex":0.000032701995,"about_ca_topic_score_gemma":0.00015451909,"teacher_disagreement_score":0.75801146,"about_ca_system_score_codex":0.000023750612,"about_ca_system_score_gemma":0.0000040352547,"threshold_uncertainty_score":0.11357091},"labels":[],"label_agreement":null},{"id":"W4404635939","doi":"10.3390/agriculture14122116","title":"The Impact of Rural Tourism on Rural Culture Evidence from China","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Rural tourism; Tourism; China; Rural area; Geography; Per capita; Socioeconomics; Promotion (chess); Economic growth; Business; Tourism geography; Political science; Economics; Population; Environmental health; Medicine","score_opus":0.01610074684629059,"score_gpt":0.3448106972095926,"score_spread":0.32870995036330203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404635939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95081484,0.0077208388,0.0000020555624,0.011893513,0.0005760799,0.00035928946,0.000063710395,0.00013855429,0.028431091],"genre_scores_gemma":[0.985677,0.0023720034,0.000021750831,0.000013813839,0.0014147457,0.000009732905,0.0000118284515,0.000007854661,0.010471291],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9981345,0.00021577488,0.00015159619,0.00017046851,0.0009010604,0.00042657886],"domain_scores_gemma":[0.99898225,0.00042879372,0.00005667769,0.00023467562,0.00014196901,0.00015564881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041224423,0.00016432047,0.00015809617,0.000024856496,0.0005832228,0.00049564126,0.00079647574,0.00017191385,0.00041894548],"category_scores_gemma":[0.00045740837,0.000070246904,0.00030596444,0.0005385407,0.0002553157,0.0004609712,0.00010470489,0.0005082631,0.0002880657],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053310698,0.000055723503,0.0011537763,0.000010292675,0.00020059942,0.00012239108,0.024780454,0.000076689365,0.005214987,0.005720926,0.95084995,0.011760928],"study_design_scores_gemma":[0.00067490106,0.0013019921,0.6801825,0.0034389896,0.00019216188,0.000011905143,0.14985351,0.00014796967,0.0048412564,0.028289814,0.12981129,0.0012536877],"about_ca_topic_score_codex":0.04034751,"about_ca_topic_score_gemma":0.0009504139,"teacher_disagreement_score":0.82103866,"about_ca_system_score_codex":0.00019481506,"about_ca_system_score_gemma":0.00015063111,"threshold_uncertainty_score":0.9660429},"labels":[],"label_agreement":null},{"id":"W4404639025","doi":"10.3390/agriculture14122113","title":"Enhancing Agricultural Biogas Desulfurization: Improving Cost-Efficiency and Robustness Through Micro-Aeration with Psychrophilic Anaerobic Liquid/Solid Media","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biogas; Pulp and paper industry; Anaerobic digestion; Waste management; Hydrogen sulfide; Aeration; Methane; Chemical oxygen demand; Environmental science; Flue-gas desulfurization; Manure; Chemistry; Sulfur; Environmental engineering; Sewage treatment; Agronomy; Engineering; Organic chemistry","score_opus":0.006463680143333142,"score_gpt":0.2033309315353338,"score_spread":0.19686725139200065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404639025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9380105,0.0057011703,0.05049803,0.0014955043,0.001650356,0.00075188425,0.000020743406,0.00142968,0.00044210962],"genre_scores_gemma":[0.9951954,0.00058043265,0.002822195,0.000044650693,0.0008196686,0.000047752666,0.0002668314,0.000028525665,0.0001945627],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988022,0.00002307548,0.00025341506,0.00043192817,0.00019496879,0.00029445687],"domain_scores_gemma":[0.99957675,0.000022769607,0.000040314877,0.00013246348,0.00014276656,0.00008494703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008630744,0.00029498752,0.00018320163,0.00006958229,0.00019620988,0.0002580502,0.00009483123,0.00017680952,0.000026535716],"category_scores_gemma":[0.00001760432,0.0001763501,0.00004647224,0.0008201034,0.000061398256,0.00068097556,0.000022652346,0.00025139644,0.000021608059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002513489,0.00005794903,0.000031793606,0.0001981823,0.00010110341,0.00002831164,0.0029405584,0.055515014,0.92620456,0.007723093,0.005294309,0.0018800164],"study_design_scores_gemma":[0.0014897651,0.0008803283,0.008953329,0.0015344569,0.0004877597,0.0012016115,0.0074351677,0.006023904,0.9371915,0.00006822002,0.0320673,0.0026666517],"about_ca_topic_score_codex":0.000023321436,"about_ca_topic_score_gemma":0.00026544934,"teacher_disagreement_score":0.05718486,"about_ca_system_score_codex":0.00010543986,"about_ca_system_score_gemma":0.00002476801,"threshold_uncertainty_score":0.7191348},"labels":[],"label_agreement":null},{"id":"W4405725034","doi":"10.3390/agriculture14122361","title":"Physio-Biochemical Mechanisms of Arbuscular Mycorrhizal Fungi Enhancing Plant Resistance to Abiotic Stress","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Wenzhou University; National Natural Science Foundation of China","keywords":"Arbuscular mycorrhizal fungi; Biofertilizer; Abiotic component; Abiotic stress; Agriculture; Biology; Beneficial organism; Soil health; Biotechnology; Agronomy; Environmental science; Microorganism; Ecology; Soil organic matter; Soil water","score_opus":0.004795760635251918,"score_gpt":0.18724452452297347,"score_spread":0.18244876388772155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405725034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98430294,0.004115517,0.00027682004,0.0014898191,0.0008775519,0.00040725162,0.006377636,0.00022412628,0.0019283574],"genre_scores_gemma":[0.995742,0.00025807144,0.00032089595,0.00017191036,0.00046010912,0.00001930755,0.0020296471,0.0000020060847,0.0009960302],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998699,0.00003786871,0.00026629507,0.00041047382,0.0002828479,0.00030350118],"domain_scores_gemma":[0.9990329,0.00059266173,0.00004975419,0.00007750452,0.00009312902,0.0001540577],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000086490574,0.00021126204,0.00023291314,0.000019253936,0.000104374296,0.00008254027,0.00026463284,0.000156064,0.001099081],"category_scores_gemma":[0.000077525474,0.000074171134,0.00018483169,0.0005823818,0.0000046472865,0.000104639876,0.000065641965,0.00023215533,0.00040928554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031103187,0.00005050402,0.00015278505,0.00007867241,0.000029026836,0.000024597097,0.00013140641,0.000012625077,0.9420074,0.0076985382,0.04951199,0.0002713572],"study_design_scores_gemma":[0.000025967318,0.00013480165,0.0034091435,0.0012930398,0.000066898945,0.000050060527,0.0005172401,0.000060368347,0.93043494,0.0025400976,0.061062872,0.00040459304],"about_ca_topic_score_codex":0.00016233165,"about_ca_topic_score_gemma":0.0004214636,"teacher_disagreement_score":0.011572478,"about_ca_system_score_codex":0.00003463119,"about_ca_system_score_gemma":0.0000102266895,"threshold_uncertainty_score":0.99981403},"labels":[],"label_agreement":null},{"id":"W4406105643","doi":"10.3390/agriculture15010110","title":"Multi-Year Pseudo-Persistence, Mobility, and Degradation of Glyphosate and Its Degradation Product (AMPA) in a Gleysol in Quebec (Canada)","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Université du Québec à Montréal","keywords":"Glyphosate; Degradation (telecommunications); Persistence (discontinuity); Gleysol; Aminomethylphosphonic acid; AMPA receptor; Environmental science; Agronomy; Biology; Ecology; Engineering; NMDA receptor","score_opus":0.01346981805373085,"score_gpt":0.2083345059887997,"score_spread":0.19486468793506886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406105643","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99352777,0.00081169675,0.000002379569,0.0049362746,0.000019459405,0.00047457404,0.00001855649,0.000011408735,0.00019790728],"genre_scores_gemma":[0.9984365,0.000047678655,0.00017556113,0.000091611626,0.000017675766,0.000057823927,0.000053668206,4.1330543e-7,0.0011190568],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991942,0.000045820416,0.00022044661,0.0002870077,0.00011095112,0.00014157796],"domain_scores_gemma":[0.9996937,0.000071741306,0.000068182846,0.00004357895,0.00008605756,0.00003674197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011177649,0.00010632175,0.00016883179,0.000021352515,0.00006518034,0.000026058438,0.000100360434,0.00007271493,0.000008479436],"category_scores_gemma":[0.000059425256,0.000043452612,0.0000201927,0.0005769177,0.000028554217,0.00013269148,0.00003978849,0.00010317548,4.685842e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023695406,0.00012434926,0.054213904,0.000036567064,0.000008594362,8.590125e-7,0.00008867451,0.000011430328,0.92806935,0.001316979,0.0003416236,0.015763989],"study_design_scores_gemma":[0.00028483348,0.000018847279,0.9930321,0.000050744475,0.000010382653,9.3940326e-7,0.00070859224,0.00017529688,0.0045721685,0.00013279909,0.0009184484,0.00009482632],"about_ca_topic_score_codex":0.51156235,"about_ca_topic_score_gemma":0.9821183,"teacher_disagreement_score":0.9388182,"about_ca_system_score_codex":0.000051608742,"about_ca_system_score_gemma":0.000034917,"threshold_uncertainty_score":0.4916902},"labels":[],"label_agreement":null},{"id":"W4406375754","doi":"10.3390/agriculture15020167","title":"Interactions Between Trace Elements and Macro Minerals in Pregnant Heifers","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakeland College; University of Guelph; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Trace Minerals; TRACE (psycholinguistics); Macro; Biology; Environmental science; Environmental chemistry; Chemistry; Animal science; Computer science","score_opus":0.01630934200505788,"score_gpt":0.28818779275555234,"score_spread":0.27187845075049444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406375754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892513,0.0011199305,0.0000078558705,0.004164579,0.0005454513,0.0004006391,0.00001787227,0.00005819757,0.0044341325],"genre_scores_gemma":[0.99701244,0.000017849197,0.0001793824,0.0001987094,0.00013672278,0.000038915896,0.000031045158,0.0000035538114,0.0023813706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911296,0.00009515799,0.00025963446,0.0002470933,0.00007617875,0.0002089624],"domain_scores_gemma":[0.99963874,0.0001316369,0.000059447295,0.00009577772,0.000032002943,0.000042425658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000093172544,0.00012451092,0.00019055807,0.00004679911,0.00006581842,0.000040001338,0.00010667717,0.00012162333,0.000028240085],"category_scores_gemma":[0.000068901696,0.00007330701,0.0000368778,0.00029383844,0.000021919217,0.00008406275,0.000037920996,0.00021174732,0.00001169435],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005194848,0.00015045179,0.557583,0.00010406867,0.00007756329,0.0000043029563,0.0008051191,0.000009079762,0.34743702,0.00029736772,0.07984112,0.013639007],"study_design_scores_gemma":[0.00057446695,0.000064919615,0.8343858,0.00047166587,0.00003955152,0.000006958883,0.00071220024,0.000011132611,0.012642832,0.00034162664,0.15055485,0.00019396782],"about_ca_topic_score_codex":0.00022155074,"about_ca_topic_score_gemma":0.00028882935,"teacher_disagreement_score":0.3347942,"about_ca_system_score_codex":0.000082237304,"about_ca_system_score_gemma":0.0000031426594,"threshold_uncertainty_score":0.29893732},"labels":[],"label_agreement":null},{"id":"W4406471192","doi":"10.3390/agriculture15020186","title":"A Landscape-Clustering Zoning Strategy to Map Multi-Crops in Fragmented Cropland Regions Using Sentinel-2 and Sentinel-1 Imagery with Feature Selection","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Zoning; Selection (genetic algorithm); Cluster analysis; Geography; Satellite imagery; Feature selection; Feature (linguistics); Remote sensing; Computer science; Artificial intelligence; Engineering","score_opus":0.007127864179181262,"score_gpt":0.22144350434665258,"score_spread":0.21431564016747132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406471192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99355966,0.00012020303,0.0028265638,0.0013539908,0.000093924944,0.00043858707,0.000003453823,0.00009852363,0.0015051173],"genre_scores_gemma":[0.983882,0.000014903507,0.0094901845,0.00039906983,0.00008752653,0.000005606665,0.000035750636,0.000018033079,0.0060668993],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984895,0.0000863542,0.00018377492,0.00059508206,0.00022116567,0.0004241503],"domain_scores_gemma":[0.999569,0.000032740558,0.00009354675,0.00015548499,0.000034176894,0.0001150683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011789311,0.00031196905,0.0002513265,0.00009171185,0.00032581144,0.00019090388,0.00012293071,0.00020945763,0.000033133125],"category_scores_gemma":[0.000023093435,0.00019456045,0.000041957355,0.0010563333,0.0000580934,0.00023087613,0.00018560301,0.00051150506,0.000017501767],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008288636,0.00014060133,0.30141643,0.000093039256,0.00006486462,0.00013816268,0.00132533,0.051117595,0.57126504,0.0000045022816,0.07392066,0.00043085933],"study_design_scores_gemma":[0.0014380856,0.000047541005,0.95654875,0.00067136146,0.0000812432,0.000431108,0.0017140358,0.031767044,0.002584267,0.000011511098,0.004089578,0.00061547477],"about_ca_topic_score_codex":0.00044946585,"about_ca_topic_score_gemma":0.0025845112,"teacher_disagreement_score":0.6551323,"about_ca_system_score_codex":0.00015757131,"about_ca_system_score_gemma":0.000014023401,"threshold_uncertainty_score":0.7933945},"labels":[],"label_agreement":null},{"id":"W4406697541","doi":"10.3390/agriculture15030235","title":"A Promising Niche: Current State of Knowledge on the Agroecological Contribution of Alternative Livestock Farming Practices","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Agroecology; Livestock; Niche; Agriculture; Agroforestry; Current (fluid); Organic farming; Geography; Environmental resource management; Ecology; Biology; Environmental science; Engineering","score_opus":0.013558037596278912,"score_gpt":0.28693388916016727,"score_spread":0.27337585156388833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406697541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99381775,0.0003543729,0.00011396134,0.0011626576,0.00009142218,0.00070325274,0.000011395666,0.00001336969,0.0037317965],"genre_scores_gemma":[0.9992887,0.000071097704,0.000043358694,0.000060846865,0.000021518154,0.00003199169,0.000009054185,0.000002283098,0.00047117486],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998853,0.00021132405,0.0002635381,0.00025115753,0.00021241092,0.00020852266],"domain_scores_gemma":[0.998964,0.00035235402,0.0004550112,0.00014984746,0.000034482066,0.000044285094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003259305,0.00015741981,0.00019755824,0.000015186107,0.00014263655,0.000014558536,0.0002487619,0.000057923422,0.00010327793],"category_scores_gemma":[0.00062985934,0.000070923845,0.000094879935,0.0003375492,0.0002522291,0.0001668077,0.00021030138,0.00028241897,0.000024278237],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010202628,0.011490758,0.27398416,0.0005755368,0.0006332941,0.000020918535,0.024720171,0.016250703,0.40552467,0.014340157,0.05543591,0.19600345],"study_design_scores_gemma":[0.00033027906,0.00032811917,0.9352009,0.00013444673,0.00006359484,0.0000030853425,0.0010533845,0.00010746627,0.047046494,0.0037994445,0.011777317,0.00015546131],"about_ca_topic_score_codex":0.0000898269,"about_ca_topic_score_gemma":0.00009162774,"teacher_disagreement_score":0.66121674,"about_ca_system_score_codex":0.00029762517,"about_ca_system_score_gemma":0.000014063028,"threshold_uncertainty_score":0.28921905},"labels":[],"label_agreement":null},{"id":"W4406962135","doi":"10.3390/agriculture15030297","title":"Spatial Evaluation of Salurnis marginella Occurrence According to Climate Change Using Multiple Species Distribution Models","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Climate change; Spatial distribution; Distribution (mathematics); Geography; Ecology; Species distribution; Environmental science; Physical geography; Biology; Mathematics; Habitat; Remote sensing","score_opus":0.08118047272250759,"score_gpt":0.29327798367038466,"score_spread":0.21209751094787707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406962135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98588425,0.00010398887,0.004403461,0.0004554826,0.000361929,0.00069254986,0.0014787082,0.00004401798,0.0065756137],"genre_scores_gemma":[0.9989186,0.000067349654,0.00006812316,0.000108921726,0.000052587067,0.00005507341,0.00069391145,0.000003145963,0.00003226579],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986356,0.000062292085,0.00022697027,0.00029239064,0.00050030136,0.00028245823],"domain_scores_gemma":[0.9995154,0.00002645895,0.000109604596,0.0001701763,0.000110469904,0.00006789339],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032298308,0.00015495502,0.00016751408,0.000027433161,0.00017010854,0.00003827773,0.00018184105,0.00008974962,0.0022849776],"category_scores_gemma":[0.00009955364,0.000120767734,0.00007264702,0.0006175647,0.00005340498,0.0002477444,0.00024146902,0.00008258928,0.00008930441],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023682512,0.0008375391,0.50623494,0.00024527145,0.00008561874,0.000005061294,0.0026536705,0.03355261,0.3177134,0.008390815,0.06370801,0.06633621],"study_design_scores_gemma":[0.001176271,0.00006555011,0.8852247,0.00023016015,0.0002277763,0.0000051166503,0.006782018,0.07436263,0.019601965,0.00031136448,0.011454875,0.0005575854],"about_ca_topic_score_codex":0.0005778025,"about_ca_topic_score_gemma":0.00058345764,"teacher_disagreement_score":0.37898973,"about_ca_system_score_codex":0.0007310784,"about_ca_system_score_gemma":0.000009850315,"threshold_uncertainty_score":0.99862707},"labels":[],"label_agreement":null},{"id":"W4407333853","doi":"10.3390/agriculture15040362","title":"Glyphosate Biodegradation by Airborne Plant Growth-Promoting Bacteria: Influence on Soil Microbiome Dynamics","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Glyphosate; Aminomethylphosphonic acid; Biostimulation; Microcosm; Microorganism; Bioremediation; Biology; Food science; Botany; Agronomy; Chemistry; Environmental chemistry; Bacteria; Contamination; Ecology","score_opus":0.0023242386640719504,"score_gpt":0.17188889364545418,"score_spread":0.16956465498138223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407333853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929667,0.00013020744,0.000045490295,0.003264606,0.00009584627,0.00018426384,0.00015565183,0.000055101216,0.0031021428],"genre_scores_gemma":[0.99643564,0.00007400461,0.00016800748,0.0013116791,0.000022499355,0.000024696867,0.00032693634,0.000008173478,0.0016283767],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988738,0.00003147072,0.00019615437,0.00040851964,0.00018153325,0.00030854266],"domain_scores_gemma":[0.99966025,0.000036505007,0.000091792455,0.0001440358,0.00000650207,0.000060936596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000077474324,0.0002368271,0.00017739687,0.000023111143,0.0002761079,0.000048175596,0.00023134837,0.000121652876,0.00025279523],"category_scores_gemma":[0.000022236194,0.00016614997,0.000051554758,0.00031314619,0.00012319701,0.00014740563,0.00022290343,0.00018077069,0.00040629387],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015925858,0.00012426579,0.01178576,0.000017631746,0.000030770112,0.000007980322,0.00017220022,0.00014080163,0.91766685,0.00016491993,0.06835903,0.0015138624],"study_design_scores_gemma":[0.0004635095,0.0001180757,0.8515196,0.00011987205,0.000056066398,0.000008990859,0.00023447751,0.0001386175,0.124474116,0.00026622182,0.022140875,0.00045956654],"about_ca_topic_score_codex":0.0014473932,"about_ca_topic_score_gemma":0.0006940376,"teacher_disagreement_score":0.83973384,"about_ca_system_score_codex":0.0003916419,"about_ca_system_score_gemma":0.0000033230003,"threshold_uncertainty_score":0.6775399},"labels":[],"label_agreement":null},{"id":"W4407742774","doi":"10.3390/agriculture15040432","title":"Cross-Effect Between Cover Crops and Glyphosate-Based Herbicide Application on Microbiote Communities in Field Crops Soils","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Glyphosate; Agronomy; Cover crop; Soil water; Biology; Environmental science; Agroforestry; Crop; Ecology","score_opus":0.006573213704503354,"score_gpt":0.23404513940857155,"score_spread":0.22747192570406818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407742774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955748,0.00026653707,0.0000063423245,0.0018229042,0.00005742284,0.00033893992,0.00005258609,0.00006206992,0.0018184052],"genre_scores_gemma":[0.9973547,0.000021699396,0.000020836223,0.0017167672,0.00007853596,0.00003834238,0.00030143248,0.0000011083464,0.0004665643],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906904,0.00012657061,0.0002027678,0.0002435302,0.000110652116,0.00024745413],"domain_scores_gemma":[0.99907863,0.0006496178,0.00006494521,0.00009648591,0.000056549627,0.0000537568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019198483,0.00020560244,0.00023832175,0.000022550923,0.00020432536,0.00013645244,0.00023193155,0.00028050446,0.00006964274],"category_scores_gemma":[0.000036017173,0.000076772536,0.000084026855,0.00041341156,0.00007503383,0.00006158606,0.00006804825,0.0003211467,0.000024277631],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018320342,0.00011778516,0.807602,0.00006599578,0.000036736106,0.000006191968,0.00011817499,0.00014056511,0.14712948,0.0004846803,0.0016552907,0.042459916],"study_design_scores_gemma":[0.00043654122,0.00025980372,0.9445883,0.00009847424,0.000020113019,0.0000018368748,0.000100517536,0.00022453663,0.047575474,0.00018475702,0.006288747,0.00022092307],"about_ca_topic_score_codex":0.009205713,"about_ca_topic_score_gemma":0.00853538,"teacher_disagreement_score":0.13698629,"about_ca_system_score_codex":0.000049341812,"about_ca_system_score_gemma":0.000007800156,"threshold_uncertainty_score":0.99739206},"labels":[],"label_agreement":null},{"id":"W4407778567","doi":"10.3390/agriculture15050450","title":"Participation of Emerging Commercial Farmers in the Strategic Private-Sector Investment Interventions","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Wellcome Trust","keywords":"Psychological intervention; Private sector; Business; Productivity; Emerging markets; General partnership; Investment (military); Socioeconomic status; Developing country; Market access; Intervention (counseling); Economic growth; Public economics; Agriculture; Economics; Finance; Population; Environmental health; Politics","score_opus":0.0419064775279387,"score_gpt":0.28164320162870216,"score_spread":0.23973672410076347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407778567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95688707,0.000026293927,0.000055385055,0.0048848432,0.00026745084,0.00022196343,8.382972e-7,0.000015924232,0.037640247],"genre_scores_gemma":[0.9944093,0.000002621827,0.000042925385,0.0051451437,0.00007836001,0.00004462213,0.00005683499,0.0000020052594,0.00021818363],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999462,0.000012777951,0.0002716831,0.00008641609,0.000070004804,0.000097129916],"domain_scores_gemma":[0.99973345,0.000011475753,0.00012239668,0.00006732532,0.000063210086,0.0000021646467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022187816,0.00006784555,0.0000876933,0.00009672136,0.000079858975,0.000061028957,0.00012758588,0.00003569663,0.000102016944],"category_scores_gemma":[0.000010919837,0.00004227145,0.000051900697,0.00046329835,0.000018686938,0.00016121555,0.00003595589,0.00008148698,0.000019776333],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006093805,0.0001730561,0.02560121,0.00017096587,0.00004003293,7.723746e-7,0.00070401764,0.00009223906,0.0004386881,0.95667076,0.015128342,0.00097379874],"study_design_scores_gemma":[0.00048912293,0.0000048510747,0.93994117,0.0001335884,0.00003897415,8.508607e-8,0.008196119,0.00012818581,0.00007966696,0.007881828,0.042985268,0.00012115648],"about_ca_topic_score_codex":0.00012491585,"about_ca_topic_score_gemma":0.00035930646,"teacher_disagreement_score":0.94878894,"about_ca_system_score_codex":0.000033766664,"about_ca_system_score_gemma":0.000010837485,"threshold_uncertainty_score":0.17237797},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.008314223155270252,"score_gpt":0.2758531424134919,"score_spread":0.26753891925822165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408028855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8282667,0.0020044087,0.01627422,0.0072662653,0.00028014372,0.00047984152,0.000080050115,0.00013227944,0.14521612],"genre_scores_gemma":[0.9855666,0.000034537614,0.011051922,0.0003584328,0.000027001732,0.000023542647,0.000027550006,0.0000038573985,0.002906516],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987185,0.00014039336,0.00027420704,0.00039090798,0.00023671593,0.00023928394],"domain_scores_gemma":[0.9994672,0.000091809095,0.00014155012,0.00018517874,0.000046893176,0.00006740326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000116630494,0.00022411934,0.00044909545,0.00007934189,0.00023537752,0.00002857271,0.000189754,0.000099905636,0.00010478603],"category_scores_gemma":[0.000013267522,0.00012535512,0.00017288468,0.0014647268,0.0002029111,0.00012487841,0.00048686014,0.00013575332,0.0000041605426],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044321776,0.0005716915,0.061294306,0.00012693333,0.00855833,0.000011286929,0.006058715,0.035564024,0.75833786,0.019156883,0.08452078,0.025754893],"study_design_scores_gemma":[0.00020923291,0.000052883017,0.9657372,0.000021621285,0.00096866454,0.00000386544,0.0041248607,0.00039259007,0.012087238,0.0010553177,0.015138907,0.0002075781],"about_ca_topic_score_codex":0.00089487154,"about_ca_topic_score_gemma":0.00047118223,"teacher_disagreement_score":0.9044429,"about_ca_system_score_codex":0.00010952725,"about_ca_system_score_gemma":0.000005526685,"threshold_uncertainty_score":0.5111834},"labels":[],"label_agreement":null},{"id":"W4408150761","doi":"10.3390/agriculture15050550","title":"The Russia–Ukraine Conflict: A Global Impact Assessment in the Corn and Wheat Sectors","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Environmental and Biological Research in Conflict Zones","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Commission","keywords":"Zea mays; Agronomy; Biology","score_opus":0.01041335331376608,"score_gpt":0.30470095139831216,"score_spread":0.2942875980845461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408150761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9581409,0.0005603997,0.000008618775,0.011227925,0.00004419812,0.00038876018,0.00001741489,0.000013293301,0.029598482],"genre_scores_gemma":[0.9971422,0.00066806463,0.000027454395,0.0010167552,0.000024649447,0.000043684213,0.0000114809345,0.0000013167489,0.0010643844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895185,0.00013299796,0.00012716577,0.00022269733,0.000267518,0.00029778853],"domain_scores_gemma":[0.99953526,0.00021532338,0.00002673516,0.00015734334,0.0000027826118,0.000062558036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036808444,0.00013442116,0.00009892238,0.0000048428906,0.0002805963,0.0000984053,0.00035312132,0.00007966452,0.00018528655],"category_scores_gemma":[0.000046735306,0.00004238525,0.000053070034,0.00031362282,0.00033079824,0.00005745215,0.00027572468,0.00025198088,0.00003503593],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044794768,0.00018992671,0.9237774,0.0000073436227,0.000037350423,0.000024436345,0.0003546607,0.000054426026,0.014290643,0.003874649,0.038882367,0.01846198],"study_design_scores_gemma":[0.00016299529,0.000088552864,0.8852045,0.000008804994,0.0000046537143,0.000008826653,0.00034092844,0.000035640187,0.000056238983,0.00052274147,0.11350059,0.000065537795],"about_ca_topic_score_codex":0.000715078,"about_ca_topic_score_gemma":0.0007393704,"teacher_disagreement_score":0.07461822,"about_ca_system_score_codex":0.00018966476,"about_ca_system_score_gemma":0.000008184612,"threshold_uncertainty_score":0.21581481},"labels":[],"label_agreement":null},{"id":"W4408411080","doi":"10.3390/agriculture15060611","title":"Food System Scenarios in Uncertain Futures: A Case Study on Long-Term Local Food System Planning in Revelstoke, Canada","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Royal Roads University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Futures contract; Term (time); Food systems; Business; Environmental resource management; Environmental science; Environmental planning; Food security; Agriculture; Ecology; Finance; Biology","score_opus":0.01483146564799252,"score_gpt":0.2212585951018103,"score_spread":0.2064271294538178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408411080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99548197,0.0008456658,0.0000036582544,0.0005881805,0.00034243782,0.0018674921,0.00006169439,0.00012794306,0.00068094523],"genre_scores_gemma":[0.999008,0.0000015587683,0.0000034063175,0.00021855446,0.00022390056,0.00022103748,0.00006706327,0.0000020540629,0.0002544003],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967607,0.00046924767,0.0006990283,0.00087124313,0.000472922,0.0007268577],"domain_scores_gemma":[0.9990249,0.00027596793,0.00015686467,0.00018284513,0.00018441159,0.00017499953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041379838,0.00049229665,0.0006456962,0.000056015888,0.00038568315,0.00011386064,0.0004088656,0.00034273881,0.0000062607546],"category_scores_gemma":[0.000054249515,0.00017039725,0.00012596678,0.0018617167,0.00003511606,0.00012587493,0.00013716733,0.00068677793,0.000002232867],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027678668,0.0014177843,0.94827044,0.000847954,0.00020464227,0.02670482,0.004779001,0.001692188,0.0006209783,0.0011177463,0.0101315705,0.0039360793],"study_design_scores_gemma":[0.00074518175,0.0010370612,0.708843,0.0007962011,0.000038973936,0.0005646038,0.2868923,0.000032444117,0.0000660286,0.000005182759,0.0005310531,0.0004479814],"about_ca_topic_score_codex":0.24952516,"about_ca_topic_score_gemma":0.959299,"teacher_disagreement_score":0.70977384,"about_ca_system_score_codex":0.0019484559,"about_ca_system_score_gemma":0.0001589441,"threshold_uncertainty_score":0.7554723},"labels":[],"label_agreement":null},{"id":"W4408442678","doi":"10.3390/agriculture15060622","title":"Genome-Wide Association Study for the Capacity to Skip the Dry Period in Dairy Goats","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Ontario Agri-Food Innovation Alliance","keywords":"Dairy cattle; Period (music); Biology; Animal science; Association (psychology); Biotechnology; Veterinary medicine; Medicine","score_opus":0.007498306227159871,"score_gpt":0.22858381308149314,"score_spread":0.22108550685433326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408442678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98986924,0.00054385356,0.0017854383,0.0054949922,0.0002670582,0.0011485406,0.000021176826,0.000006655127,0.0008630199],"genre_scores_gemma":[0.99330574,0.000008841107,0.0006158852,0.0013798857,0.00022738196,0.00024207155,0.000021727352,0.0000047606027,0.0041937134],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993163,0.00006865022,0.00013078841,0.00021931893,0.000090435664,0.0001745435],"domain_scores_gemma":[0.99953115,0.000090705675,0.00004352028,0.00022676121,0.00008473668,0.000023138538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023777928,0.00010785456,0.00008979288,0.000010946625,0.00017662896,0.00003165163,0.00028256883,0.00011596859,0.0000040531563],"category_scores_gemma":[0.00026019444,0.00005290211,0.00005959622,0.00014611693,0.000016342461,0.0000015057284,0.00007997251,0.000114464434,0.000003979279],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001971598,0.00081563235,0.8048608,0.000049007398,0.0006859195,6.3337575e-7,0.012821719,0.0057306495,0.061451145,0.0031552168,0.10711529,0.0031168323],"study_design_scores_gemma":[0.0002994605,0.00013839756,0.93130827,0.0000043036753,0.000035969213,1.831311e-7,0.0019150138,9.989355e-7,0.0009983508,0.00043452557,0.06478387,0.00008067797],"about_ca_topic_score_codex":0.00003581948,"about_ca_topic_score_gemma":0.00083221874,"teacher_disagreement_score":0.12644745,"about_ca_system_score_codex":0.000033293785,"about_ca_system_score_gemma":0.000030950596,"threshold_uncertainty_score":0.21572854},"labels":[],"label_agreement":null},{"id":"W4408551161","doi":"10.3390/agriculture15060643","title":"Alleviation of Chilling Injury in Postharvest Sweet Basil (Ocimum basilicum L.) with Silicon and Abscisic Acid Applications","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Silicon Effects in Agriculture","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Mitacs","keywords":"Basilicum; Ocimum; Sweet Basil; Abscisic acid; Postharvest; Horticulture; Biology; Botany","score_opus":0.004114022215320073,"score_gpt":0.2043378539619679,"score_spread":0.20022383174664785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408551161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942471,0.00085682084,0.000010397752,0.0022219906,0.000049278297,0.0008803363,0.00006486956,0.000075747754,0.0015934656],"genre_scores_gemma":[0.998623,0.00012133797,0.00011592408,0.00034172897,0.00012238458,0.0001658593,0.000160201,0.0000014334195,0.00034813813],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985907,0.00009073972,0.0003287197,0.00048660903,0.00022324249,0.00027995664],"domain_scores_gemma":[0.99929464,0.00019465465,0.00016789486,0.00010992341,0.00015452965,0.000078332436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019593346,0.0002609342,0.00032788154,0.00003882535,0.00015151301,0.00006033167,0.00028576248,0.00025736407,0.000037118167],"category_scores_gemma":[0.00005104832,0.0000860155,0.00006904718,0.0013191942,0.00008815986,0.00021283048,0.000084842104,0.0002736142,0.000006548455],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062490006,0.00024042332,0.08606086,0.000079985635,0.00004428146,0.0000022457477,0.00017953207,0.00004508192,0.87611085,0.0028692668,0.0018991212,0.03240587],"study_design_scores_gemma":[0.00028834466,0.0001908377,0.94978625,0.00016943479,0.000032784526,0.000009064868,0.00049320527,0.00001785051,0.040949292,0.00031804355,0.0074924137,0.00025250876],"about_ca_topic_score_codex":0.0002857635,"about_ca_topic_score_gemma":0.0031365461,"teacher_disagreement_score":0.86372536,"about_ca_system_score_codex":0.000045069475,"about_ca_system_score_gemma":0.000013916572,"threshold_uncertainty_score":0.35076103},"labels":[],"label_agreement":null},{"id":"W4408657465","doi":"10.3390/agriculture15060653","title":"Jelly Candies with Apple Pomace—A Circular Economy Solution for a Food Processing Waste","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Agricultural and Food Sciences","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agence Universitaire de la Francophonie","keywords":"Pomace; Food science; Food waste; Food processing; Circular economy; Business; Waste management; Chemistry; Engineering; Biology; Ecology","score_opus":0.011412829305872558,"score_gpt":0.19081304808302077,"score_spread":0.1794002187771482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408657465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97370607,0.0032926097,0.00064719835,0.014180308,0.00017171624,0.0013731194,0.00015462034,0.00024346626,0.00623092],"genre_scores_gemma":[0.99661976,0.000017470791,0.00041114382,0.0004526705,0.00033524763,0.00020049883,0.00017514816,7.650749e-7,0.0017872814],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987436,0.000023602139,0.0002006591,0.00046577578,0.00014950403,0.0004168679],"domain_scores_gemma":[0.9994492,0.000059548493,0.000119600234,0.000044473418,0.00023719293,0.000090018664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011099625,0.0002364727,0.00023397959,0.000013679278,0.0007511278,0.00020586749,0.00031183878,0.00013520569,0.000018951925],"category_scores_gemma":[0.000014054113,0.00006154006,0.00011807146,0.00070522993,0.00008340444,0.00033756727,0.0000558039,0.00011303467,0.0000054090174],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002607638,0.00048316506,0.009622663,0.0005043554,0.00032554878,0.000007505345,0.0012882464,0.0001945782,0.7111912,0.0071889213,0.10304162,0.16589147],"study_design_scores_gemma":[0.0011725673,0.0025321294,0.05191252,0.00041565433,0.0002458564,0.00006321225,0.0146559365,0.00066668005,0.028166482,0.0061714905,0.8925144,0.0014830825],"about_ca_topic_score_codex":0.00008583769,"about_ca_topic_score_gemma":0.0017742771,"teacher_disagreement_score":0.78947276,"about_ca_system_score_codex":0.00004390449,"about_ca_system_score_gemma":0.000024807689,"threshold_uncertainty_score":0.5777143},"labels":[],"label_agreement":null},{"id":"W4408927687","doi":"10.3390/agriculture15070718","title":"The State of Local Food Systems and Integrated Planning and Policy Research: An Application of the Climate, Biodiversity, Health, and Justice Nexus","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Roads University","funders":"","keywords":"Nexus (standard); Biodiversity; State (computer science); Economic Justice; Environmental resource management; Healthcare system; Food systems; Environmental planning; Political science; Business; Geography; Food security; Ecology; Environmental science; Health care; Agriculture; Biology; Computer science","score_opus":0.03084103378197151,"score_gpt":0.2862369900426488,"score_spread":0.2553959562606773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408927687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98950756,0.0052198474,0.000008000132,0.0044797263,0.000033879736,0.0005205639,0.00009801379,0.000014731731,0.00011765151],"genre_scores_gemma":[0.9994262,0.00032901813,0.000004026765,0.00009704021,0.000035857232,0.0000106354355,0.00002566163,2.6279488e-7,0.00007132196],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988849,0.00029652595,0.00019804509,0.00022228197,0.00016911118,0.00022911388],"domain_scores_gemma":[0.9991178,0.00028843118,0.00011488817,0.00007185206,0.00032133568,0.00008570984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053436094,0.000100023884,0.00016205185,0.000014023458,0.0007047592,0.00007313377,0.00019475349,0.00008079324,2.1462775e-7],"category_scores_gemma":[0.00007993702,0.000024320881,0.000022971468,0.0007747551,0.00037341917,0.00008032228,0.00021086386,0.00019665697,1.1526234e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078303297,0.0009423128,0.32243636,0.003478863,0.00034195228,0.0000038060764,0.020342289,0.00027958312,0.064058185,0.08989525,0.038106557,0.4593318],"study_design_scores_gemma":[0.00026294132,0.0007686203,0.882853,0.00013247733,0.000040166375,0.000012254825,0.091351114,0.00021066442,0.000592539,0.002470662,0.021162385,0.00014319252],"about_ca_topic_score_codex":0.003143202,"about_ca_topic_score_gemma":0.0018757752,"teacher_disagreement_score":0.56041664,"about_ca_system_score_codex":0.00003635515,"about_ca_system_score_gemma":0.00003100876,"threshold_uncertainty_score":0.5420509},"labels":[],"label_agreement":null},{"id":"W4408958783","doi":"10.3390/agriculture15070715","title":"Effect of Synthetic Fungicides Used in Conventional Strawberry Growing System on Hirsutella sp., an Entomopathogenic Fungus of Cyclamen Mite","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Entomopathogenic Microorganisms in Pest Control","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Université Laval","funders":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Fungicide; Entomopathogenic fungus; Entomopathogenic fungi; Biology; Botany; Fungus; Mite; Horticulture; Biological pest control; Beauveria bassiana","score_opus":0.004299388306927718,"score_gpt":0.21663653533034163,"score_spread":0.2123371470234139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408958783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973681,0.0010272829,0.0000056049753,0.00015494233,0.00023083821,0.0005639714,0.00007953696,0.00005994922,0.0005097613],"genre_scores_gemma":[0.9995462,0.000019903986,0.00004491304,0.00003546473,0.00008773489,0.00003201636,0.00009321501,0.00000211091,0.00013848138],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977892,0.00049869966,0.00057186285,0.00046596563,0.0003612888,0.00031297668],"domain_scores_gemma":[0.9988451,0.00057650957,0.00024970432,0.00014446682,0.00010575006,0.000078461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007262754,0.0002848717,0.00055645494,0.00006065327,0.00008026463,0.000028110986,0.00046330222,0.00025083288,0.000084888336],"category_scores_gemma":[0.000079941805,0.00010986656,0.0002762555,0.00067783246,0.00006857154,0.00012828044,0.000073749616,0.00021159074,0.000011018498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012717932,0.00016097438,0.02016082,0.00022288007,0.000046994894,0.000019251274,0.00008283856,0.000061800194,0.96941936,0.0025196373,0.00003681423,0.0071414732],"study_design_scores_gemma":[0.001148521,0.0013838022,0.17760262,0.0012091802,0.00018196325,0.0000329843,0.00066853524,0.000085967695,0.8168632,0.00022787484,0.00025123055,0.0003441648],"about_ca_topic_score_codex":0.00014940028,"about_ca_topic_score_gemma":0.00025501114,"teacher_disagreement_score":0.15744181,"about_ca_system_score_codex":0.0001055024,"about_ca_system_score_gemma":0.00001741556,"threshold_uncertainty_score":0.4480228},"labels":[],"label_agreement":null},{"id":"W4409329075","doi":"10.3390/agriculture15080826","title":"Progress and Trends in Coupled Model Intercomparison Project (CMIP) Research: A Bibliometric Analysis","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Coupled model intercomparison project; Environmental science; Climate change; Biology; Climate model; Ecology","score_opus":0.07746889844524493,"score_gpt":0.3759554840814092,"score_spread":0.29848658563616426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409329075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916688,0.00028611883,0.0002720916,0.0009370332,0.000017213706,0.00025410493,0.000010112233,0.000032455664,0.0065220734],"genre_scores_gemma":[0.9976426,0.000097893426,0.0007514264,0.000044216253,0.000006396237,0.00008223482,0.0000317562,0.0000029778107,0.0013405109],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985737,0.00010791621,0.00021358913,0.000450005,0.0003317998,0.00032296282],"domain_scores_gemma":[0.99958915,0.000078954654,0.000033663735,0.00021649615,0.000027000511,0.000054765504],"candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.00074670993,0.00012103182,0.00023712705,0.018497396,0.000103346654,0.00009617562,0.0002260969,0.0001261604,0.000103008024],"category_scores_gemma":[0.000056299385,0.00007865118,0.00006982265,0.1966401,0.00015946974,0.00018369,0.00034957472,0.00029007753,0.000008489882],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008910716,0.0010201386,0.8883227,0.000067313566,0.00019813146,0.000009926802,0.0027080912,0.040674664,0.0030354687,0.00082399754,0.03373489,0.029315578],"study_design_scores_gemma":[0.00028680806,0.000036118872,0.57908386,0.000019104651,0.00007934918,7.552208e-7,0.00024723596,0.41848883,0.00004840086,0.00060208776,0.0009850916,0.00012239086],"about_ca_topic_score_codex":0.0017292799,"about_ca_topic_score_gemma":0.0052789934,"teacher_disagreement_score":0.37781414,"about_ca_system_score_codex":0.0001618652,"about_ca_system_score_gemma":0.000008831298,"threshold_uncertainty_score":0.9926271},"labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W4409329295","doi":"10.3390/agriculture15080814","title":"A Machine Learning-Based Method for Pig Weight Estimation and the PIGRGB-Weight Dataset","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"National Science and Technology Major Project; Beijing Academy of Agricultural and Forestry Sciences","keywords":"Estimation; Weight estimation; Artificial intelligence; Machine learning; Statistics; Computer science; Mathematics; Engineering","score_opus":0.018739724896158765,"score_gpt":0.32765966931611734,"score_spread":0.30891994441995857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409329295","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041749444,0.044808634,0.6274012,0.22521096,0.0023038522,0.012110335,0.023128947,0.0017257676,0.021560878],"genre_scores_gemma":[0.97949445,0.00012002997,0.011013791,0.0014512485,0.00013476062,0.00043612218,0.005296028,0.000016896754,0.002036681],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99919105,0.00013849966,0.00016094328,0.0002516828,0.00009933461,0.00015848533],"domain_scores_gemma":[0.9993549,0.00033312288,0.000068794936,0.00014099744,0.00007541166,0.000026797314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002584866,0.00017255155,0.00022095098,0.000029538194,0.0004603056,0.00004618894,0.0001298709,0.00008459673,0.000038848735],"category_scores_gemma":[0.0001312994,0.00008085593,0.00007854721,0.00015772603,0.00006661523,0.00006989836,0.000086458924,0.00019196344,0.000009133355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003723327,0.00031381426,0.0084603,0.00045037098,0.0004954261,0.00004512012,0.0012006555,0.0002314988,0.0069772243,0.048597187,0.89968246,0.029822625],"study_design_scores_gemma":[0.0045896634,0.00045728212,0.07992636,0.00006969205,0.0007075373,0.00004122966,0.00024817052,0.020622354,0.00047916328,0.0019527387,0.8905301,0.00037569436],"about_ca_topic_score_codex":0.00015771945,"about_ca_topic_score_gemma":0.000036932983,"teacher_disagreement_score":0.937745,"about_ca_system_score_codex":0.000018067461,"about_ca_system_score_gemma":0.000011023818,"threshold_uncertainty_score":0.35403448},"labels":[],"label_agreement":null},{"id":"W4410495179","doi":"10.3390/agriculture15101100","title":"Early Yield Prediction of Oilseed Rape Using UAV-Based Hyperspectral Imaging Combined with Machine Learning Algorithms","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Education Department of Guangxi Zhuang Autonomous Region; Guangxi Normal University; National Natural Science Foundation of China; British Columbia Innovation Council","keywords":"Hyperspectral imaging; Yield (engineering); Algorithm; Machine learning; Artificial intelligence; Agronomy; Computer science; Environmental science; Remote sensing; Biology; Materials science; Geology","score_opus":0.00845778844168797,"score_gpt":0.22285839729429,"score_spread":0.21440060885260204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410495179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869845,0.0013044558,0.0033928938,0.00037388803,0.000056547327,0.00008137587,0.00003528322,0.0002043756,0.007566675],"genre_scores_gemma":[0.99594826,0.000016309756,0.0018871693,0.000057566136,0.00007817745,0.0000063790844,0.000081348066,0.000012365671,0.0019124403],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990115,0.000013753729,0.0002208094,0.00028652046,0.00022423634,0.00024317656],"domain_scores_gemma":[0.99940294,0.00007619973,0.0001508294,0.00016309854,0.00015395907,0.00005297632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005379238,0.00020732926,0.0002917391,0.00012908994,0.00015867528,0.00004215771,0.00015553723,0.00011788431,0.00021060175],"category_scores_gemma":[0.00006252295,0.00014062661,0.00011230831,0.0010413898,0.0000581916,0.00010240643,0.000025656233,0.0004112861,0.0000012888363],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014680257,0.0001701612,0.0924727,0.0001308506,0.00024035168,0.000012960109,0.0001357022,0.00096555054,0.90505415,0.00008162707,0.00025209115,0.00033707294],"study_design_scores_gemma":[0.0014357299,0.000107025684,0.011444265,0.00021983402,0.00064012123,0.000012118097,0.00100059,0.011836159,0.9728678,0.000028430917,0.00018235865,0.00022559146],"about_ca_topic_score_codex":0.00042678183,"about_ca_topic_score_gemma":0.000010445738,"teacher_disagreement_score":0.08102844,"about_ca_system_score_codex":0.000091574206,"about_ca_system_score_gemma":0.000050869206,"threshold_uncertainty_score":0.5734587},"labels":[],"label_agreement":null},{"id":"W4410643079","doi":"10.3390/agriculture15111131","title":"Nitrate Nitrogen Quantification via Ultraviolet Absorbance: A Case Study in Agricultural and Horticultural Regions in Central China","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Absorbance; Nitrate; China; Agriculture; Nitrogen; Environmental science; Ultraviolet; Environmental chemistry; Agronomy; Chemistry; Botany; Geography; Biology; Ecology; Materials science; Chromatography; Archaeology","score_opus":0.00967831946079162,"score_gpt":0.2447680796406024,"score_spread":0.23508976017981079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410643079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99837047,0.00009988204,0.000014937164,0.00085362257,0.00007095311,0.00039265928,0.000005511045,0.000034924113,0.00015705609],"genre_scores_gemma":[0.99939144,0.000019885505,0.000058307924,0.00002425231,0.000038272803,0.000055364755,0.000030699386,0.0000035687544,0.00037820914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853975,0.0001658153,0.00033849725,0.0004460133,0.0001718234,0.00033809303],"domain_scores_gemma":[0.9996488,0.000021820242,0.000071331655,0.00016577629,0.00001289265,0.0000793685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017134487,0.00020133216,0.0002266057,0.000039199167,0.00015616218,0.000080612765,0.00014082469,0.000095030664,0.000010698266],"category_scores_gemma":[0.000018992987,0.000120947654,0.0000577204,0.00096067664,0.000062860934,0.00023079949,0.00006430412,0.00026692232,0.000012132602],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001413575,0.00063604774,0.9262004,0.000016723448,0.00004029798,0.00035417805,0.007982759,0.0020357063,0.06077944,0.0000467497,0.001140606,0.00075294776],"study_design_scores_gemma":[0.00045036728,0.000029969531,0.9831495,0.000037236405,0.00004861284,0.0001314383,0.012940539,0.0000726418,0.0026913946,0.00019810333,0.000047521473,0.00020265419],"about_ca_topic_score_codex":0.019090375,"about_ca_topic_score_gemma":0.0065685236,"teacher_disagreement_score":0.05808805,"about_ca_system_score_codex":0.00016268014,"about_ca_system_score_gemma":0.0000040575446,"threshold_uncertainty_score":0.9874416},"labels":[],"label_agreement":null},{"id":"W4412201331","doi":"10.3390/agriculture15141497","title":"A Lightweight Greenhouse Tomato Fruit Identification Method Based on Improved YOLOv11n","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Agriculture","funders":"","keywords":"Greenhouse; Identification (biology); Horticulture; Biology; Environmental science; Agricultural engineering; Agronomy; Botany; Engineering","score_opus":0.007272693536313914,"score_gpt":0.22776869996937385,"score_spread":0.22049600643305994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412201331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91994977,0.00061033317,0.0005993781,0.048229396,0.0015098167,0.0018935273,0.00019054627,0.0012580126,0.025759246],"genre_scores_gemma":[0.9803611,0.000019750534,0.0008032933,0.004923774,0.0007611264,0.0001752258,0.00047410637,0.0000023099765,0.012479309],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99817306,0.00014592848,0.00036373644,0.0006399571,0.0002868606,0.00039045254],"domain_scores_gemma":[0.9990999,0.00025327966,0.0001525864,0.00016088049,0.00021053625,0.00012279667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002504291,0.00032886307,0.00029906374,0.000030958665,0.00038361337,0.00018855592,0.0004902777,0.00033385004,0.00028132458],"category_scores_gemma":[0.0000765718,0.00009550687,0.00025464437,0.0012396459,0.00002634571,0.00015824751,0.00006598456,0.00027606342,0.00018536717],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054375872,0.00036715486,0.0015957166,0.000021482401,0.00005248266,0.000008057467,0.0000661337,0.000040762123,0.8042292,0.0023218098,0.161494,0.029748818],"study_design_scores_gemma":[0.0005003434,0.00026884122,0.39716476,0.00012750967,0.00011806623,0.000008608307,0.00031383606,0.00085574354,0.14488636,0.0008206061,0.45428872,0.0006466118],"about_ca_topic_score_codex":0.00016891312,"about_ca_topic_score_gemma":0.000724486,"teacher_disagreement_score":0.6593428,"about_ca_system_score_codex":0.000055658133,"about_ca_system_score_gemma":0.00001458518,"threshold_uncertainty_score":0.3894657},"labels":[],"label_agreement":null},{"id":"W4412470401","doi":"10.3390/agriculture15141532","title":"Metagenomic Profiling of the Grapevine Virome in Canadian Vineyards","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Plant Virus Research Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs; Agriculture and Agri-Food Canada; Canadian Food Inspection Agency; Université de Sherbrooke; Brock University","funders":"Genome Canada","keywords":"Human virome; Metagenomics; Profiling (computer programming); Biology; Computational biology; Genetics; Computer science; Gene","score_opus":0.011973809692667727,"score_gpt":0.2268007285574691,"score_spread":0.21482691886480137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412470401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98775405,0.0009212301,5.1351684e-8,0.0068455916,0.000073513904,0.00028179595,0.00024564707,0.000010596147,0.0038675019],"genre_scores_gemma":[0.99821186,0.00012067812,0.000011191232,0.00020866295,0.000035707544,0.000019182911,0.00002604694,2.1843721e-7,0.0013664719],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992144,0.00006416552,0.00014327253,0.00015310569,0.00013349165,0.00029155577],"domain_scores_gemma":[0.9997274,0.00008052837,0.000034565375,0.0000463105,0.0000550327,0.000056140034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018188055,0.00009093249,0.00015129767,0.000020907313,0.00013716632,0.000016358345,0.00035541627,0.000066981156,0.000041730982],"category_scores_gemma":[0.00012757049,0.000021460468,0.00007339622,0.00092080596,0.000045576842,0.000039268136,0.000101670135,0.00015700987,0.00000612035],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040211066,0.000019162275,0.027570957,0.000010352195,0.000022418773,0.000002719647,0.000025819969,0.000007623702,0.9648918,0.0008190999,0.0054402687,0.0011857518],"study_design_scores_gemma":[0.000057564535,0.000016869875,0.90416354,0.00004061197,0.000008250286,0.0000012754119,0.00015816292,0.000006525429,0.036301687,0.00020783552,0.058968216,0.000069465954],"about_ca_topic_score_codex":0.12636502,"about_ca_topic_score_gemma":0.7354714,"teacher_disagreement_score":0.9285901,"about_ca_system_score_codex":0.00007145198,"about_ca_system_score_gemma":0.000039992556,"threshold_uncertainty_score":0.8794526},"labels":[],"label_agreement":null},{"id":"W4412711601","doi":"10.3390/agriculture15151602","title":"Improving Dehydration Efficiency and Quality in Highbush Blueberries via Combined Pulsed Microwave Pretreatment and Osmotic Dehydration","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Postharvest Quality and Shelf Life Management","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Osmotic dehydration; Chemistry; Dehydration; Anthocyanin; Water content; Food science; Chromatography; Biochemistry","score_opus":0.010444253798374749,"score_gpt":0.21932767976330161,"score_spread":0.20888342596492687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412711601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945303,0.00037108365,0.00017733668,0.0037321986,0.00007571083,0.00051727716,0.000009775095,0.00004727936,0.000539026],"genre_scores_gemma":[0.9985557,0.0000922575,0.00007807224,0.00040278136,0.000033630564,0.000032734497,0.00013625417,5.598393e-7,0.0006679716],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987698,0.00018454177,0.00031191355,0.00037251628,0.00014539232,0.00021584147],"domain_scores_gemma":[0.99960464,0.00014138533,0.0001015142,0.000054615262,0.000049859493,0.00004797172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034588698,0.0001755874,0.00020726025,0.000023207947,0.00023435713,0.00016566414,0.00009098887,0.00012462895,0.000007239458],"category_scores_gemma":[0.00007364384,0.0000693395,0.000035859604,0.000396625,0.000060747574,0.0002238975,0.00009352867,0.00010794892,0.0000025641798],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015998314,0.00076745165,0.059050716,0.0002653675,0.000075754404,0.0000108119075,0.0015959005,0.00008846422,0.7863859,0.020093773,0.0004562081,0.1310497],"study_design_scores_gemma":[0.00057317904,0.00019606896,0.9853493,0.00006386243,0.00003803667,0.0000020894488,0.00072229287,0.00048630472,0.009425103,0.0021063294,0.0007923128,0.00024509718],"about_ca_topic_score_codex":0.0015148291,"about_ca_topic_score_gemma":0.01707127,"teacher_disagreement_score":0.9262986,"about_ca_system_score_codex":0.000057630237,"about_ca_system_score_gemma":0.0000064336186,"threshold_uncertainty_score":0.9526169},"labels":[],"label_agreement":null},{"id":"W4412833392","doi":"10.3390/agriculture15151614","title":"Trend-Enabled Recommender System with Diversity Enhancer for Crop Recommendation","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Science North","funders":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii","keywords":"Computer science; Collaborative filtering; Recommender system; Agriculture; Resource (disambiguation); Learning to rank; Precision agriculture; Markov decision process; Machine learning; Data mining; Markov process; Ranking (information retrieval); Mathematics","score_opus":0.011929284403637863,"score_gpt":0.23027593641585328,"score_spread":0.21834665201221543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412833392","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007172272,0.00010795409,0.9601213,0.0069386386,0.00074551307,0.00078737986,0.000015359705,0.00071688555,0.02984974],"genre_scores_gemma":[0.9606992,0.000026489057,0.033690725,0.00075912534,0.0001418694,0.00030438232,0.00008692841,0.000009300001,0.004281994],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99889845,0.000073761614,0.00021418885,0.00043750988,0.000117152835,0.0002589135],"domain_scores_gemma":[0.99928164,0.00007059968,0.00014093144,0.0003244018,0.00012785534,0.000054547505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024572996,0.00019016689,0.00023966383,0.00008982611,0.0005131408,0.00018238476,0.0005577926,0.00012880718,0.0000082303995],"category_scores_gemma":[0.000005771704,0.000115464536,0.000087900386,0.00050518644,0.000010545305,0.00045397336,0.00034756842,0.00012355932,0.0000036107215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004512669,0.00014955718,0.00069690566,0.00037879418,0.00025678944,0.000005026904,0.0010225545,0.000016753587,0.0007127476,0.19022483,0.72570074,0.0807902],"study_design_scores_gemma":[0.002004316,0.00034970968,0.0029676745,0.0005693674,0.00008396891,0.00004160813,0.0010831755,0.0024751984,0.017230703,0.002126698,0.9703202,0.0007473444],"about_ca_topic_score_codex":0.00017129199,"about_ca_topic_score_gemma":0.00027716724,"teacher_disagreement_score":0.959982,"about_ca_system_score_codex":0.00017949741,"about_ca_system_score_gemma":0.000026231524,"threshold_uncertainty_score":0.4708507},"labels":[],"label_agreement":null},{"id":"W4412993136","doi":"10.3390/agriculture15151690","title":"A Remote Strawberry Health Monitoring System Performed with Multiple Sensors Approach","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Jiangsu Science and Technology Department; National Natural Science Foundation of China","keywords":"Remote sensing; Environmental science; Geography","score_opus":0.009002586340233591,"score_gpt":0.2000207074669628,"score_spread":0.1910181211267292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412993136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923826,0.00061028445,0.000028460941,0.002323507,0.00010713656,0.00046251278,0.00001867583,0.000607435,0.0034593737],"genre_scores_gemma":[0.9984706,0.00004910738,0.0005270535,0.000080827245,0.00011808234,0.000023969698,0.000040295294,0.000001065438,0.0006889784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880314,0.000059135175,0.00020432718,0.0003685004,0.00015691444,0.00040796006],"domain_scores_gemma":[0.9995698,0.00007439208,0.00010329414,0.00008872455,0.00008216523,0.00008163671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013721242,0.00020778067,0.00028485895,0.000015402771,0.0004689078,0.00004519207,0.00025983326,0.00023113254,0.000007525831],"category_scores_gemma":[0.000017664626,0.000059726455,0.00007559382,0.000548219,0.000046603313,0.00007660065,0.00004732665,0.0003126201,0.000014599329],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053511135,0.0007065895,0.47731653,0.000970445,0.00060394866,0.00007697633,0.00094593165,0.00024277242,0.22795023,0.0056971763,0.00856645,0.27638784],"study_design_scores_gemma":[0.0008892882,0.00039642619,0.96330494,0.0005066095,0.000058322978,0.00010084636,0.02301665,0.0005882742,0.0043986198,0.000040074665,0.0062566604,0.000443288],"about_ca_topic_score_codex":0.00039616018,"about_ca_topic_score_gemma":0.00052164355,"teacher_disagreement_score":0.4859884,"about_ca_system_score_codex":0.000084093714,"about_ca_system_score_gemma":0.000014960182,"threshold_uncertainty_score":0.3606507},"labels":[],"label_agreement":null},{"id":"W4413481076","doi":"10.3390/agriculture15171805","title":"Quarter-Level Milk Yield Recovery Following Clinical Mastitis: Associations with Milk Loss, Somatic Cell Count, Clinical Severity, and Pathogens","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Vlaamse regering; China Scholarship Council; Fonds Wetenschappelijk Onderzoek; Agentschap Innoveren en Ondernemen","keywords":"Somatic cell count; Mastitis; Somatic cell; Quarter (Canadian coin); Medicine; Biology; Veterinary medicine; Animal science; Microbiology; Lactation; Geography; Ice calving","score_opus":0.04136758720990154,"score_gpt":0.28082158530490325,"score_spread":0.23945399809500173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413481076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885468,0.00077871344,0.00012142789,0.004266291,0.0009334268,0.00044094134,0.0006048196,0.0001257593,0.004181816],"genre_scores_gemma":[0.9909836,0.00084749516,0.0010016982,0.0024395813,0.00060137827,0.000036047186,0.00032311384,0.0000022769177,0.0037648212],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99744916,0.0003669652,0.0008049466,0.000632814,0.00033533777,0.00041079667],"domain_scores_gemma":[0.9976924,0.0015854965,0.0002551161,0.0001375873,0.00014364359,0.00018572492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094200927,0.00029136852,0.00056550826,0.000014841739,0.0004793162,0.00017303934,0.00033268015,0.00052433554,0.000119943456],"category_scores_gemma":[0.00046229237,0.00011345424,0.00034902105,0.00044565537,0.00011493274,0.00024155657,0.00015778565,0.0005391685,0.000040162042],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099876655,0.001109129,0.7181619,0.00010658227,0.00040083873,0.00014234683,0.00024429872,0.0000064679334,0.0047257007,0.0009147206,0.24734934,0.0267388],"study_design_scores_gemma":[0.0005763919,0.00042832555,0.958132,0.00026975662,0.00020534552,0.000016202068,0.0008822953,0.000013069614,0.00011148339,0.0014344822,0.037517082,0.00041356042],"about_ca_topic_score_codex":0.00024227452,"about_ca_topic_score_gemma":0.004364912,"teacher_disagreement_score":0.2399701,"about_ca_system_score_codex":0.00003873342,"about_ca_system_score_gemma":0.00005161144,"threshold_uncertainty_score":0.46265295},"labels":[],"label_agreement":null},{"id":"W4413617889","doi":"10.3390/agriculture15171815","title":"Optimization of Cotton Field Irrigation Scheduling Using the AquaCrop Model Assimilated with UAV Remote Sensing and Particle Swarm Optimization","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Future Earth","funders":"","keywords":"Particle swarm optimization; Irrigation scheduling; Scheduling (production processes); Irrigation; Swarm behaviour; Computer science; Agricultural engineering; Environmental science; Remote sensing; Real-time computing; Simulation; Mathematical optimization; Engineering; Biology; Agronomy; Mathematics; Artificial intelligence; Algorithm; Geography","score_opus":0.007850250958326851,"score_gpt":0.21648613336148986,"score_spread":0.208635882403163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413617889","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.373033,0.000039718034,0.6244759,0.0012008246,0.00004657523,0.00024029732,0.0000010029989,0.000039294584,0.00092337024],"genre_scores_gemma":[0.72616565,0.000024381749,0.27333593,0.00027240772,0.000019480778,1.366764e-7,0.000014447909,0.000007331048,0.0001602082],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990265,0.00006642257,0.00022149879,0.00027543123,0.00023354411,0.00017663027],"domain_scores_gemma":[0.9994774,0.000057786172,0.00017031461,0.00017806591,0.00007670562,0.000039751914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001344516,0.00015952757,0.00014424964,0.000016531825,0.00027024973,0.00006574503,0.00008965256,0.0001541089,0.000010486353],"category_scores_gemma":[0.00006943461,0.00008455524,0.000030363419,0.00067895564,0.00008129627,0.00020686151,0.00007547766,0.00017860405,8.583928e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019401114,0.000010459833,0.00019204375,0.000010450572,0.000015956157,0.0000010485485,0.00051691534,0.9535576,0.04375649,0.000022215985,0.00020149458,0.0016959081],"study_design_scores_gemma":[0.00021965911,0.000024303912,0.00050397817,0.00013777542,0.00007393164,0.000013391885,0.0003295949,0.9600425,0.038409684,0.00009589018,0.000023584691,0.00012575719],"about_ca_topic_score_codex":0.00033915,"about_ca_topic_score_gemma":0.00009703304,"teacher_disagreement_score":0.35313267,"about_ca_system_score_codex":0.00008790699,"about_ca_system_score_gemma":0.000014210517,"threshold_uncertainty_score":0.34480628},"labels":[],"label_agreement":null},{"id":"W4413618462","doi":"10.3390/agriculture15171808","title":"The Complex Interactions of Common Bean (Phaseolus vulgaris L.) with Viruses, Vectors and Beneficial Organisms in the Context of Sub-Saharan Africa","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Magdalene College, University of Cambridge; Biotechnology and Biological Sciences Research Council; Global Affairs Canada; University of Cambridge; Directorate for Biological Sciences; Cambridge Trust; Schlumberger Foundation; Royal Society; Leverhulme Trust; Cambridge Philosophical Society","keywords":"Phaseolus; Context (archaeology); Biology; Plant virus; Botany; Virology; Virus","score_opus":0.014974870064969212,"score_gpt":0.21384916257983158,"score_spread":0.19887429251486238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413618462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963335,0.0010475154,0.0000032089533,0.0011347459,0.00006123772,0.00025538722,0.00021216994,0.000010156183,0.0009420923],"genre_scores_gemma":[0.99950314,0.0002114467,0.000011702356,0.00012358182,0.000030883377,0.000010206063,0.000042271466,5.0015444e-7,0.00006628653],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99926996,0.0000918699,0.00020746035,0.00014052648,0.00014343325,0.00014674029],"domain_scores_gemma":[0.99940616,0.00032930615,0.00011964397,0.00005752901,0.00006581189,0.000021567943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014028138,0.00011336386,0.00018930258,0.00001024771,0.00026880496,0.0000346195,0.00024609466,0.0000595498,0.000014399229],"category_scores_gemma":[0.0000151550275,0.000025574815,0.000046111127,0.00044950447,0.00009353135,0.000037537455,0.000036841295,0.00014015115,5.453294e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008397308,0.00014234114,0.0014104823,0.000009254617,0.000026893998,0.000004160262,0.00035794743,0.0000023645741,0.98448235,0.004805251,0.003534381,0.00514062],"study_design_scores_gemma":[0.00066096795,0.0006970526,0.61661744,0.00025415397,0.00012818343,0.000037945447,0.016580965,0.000027837954,0.15460643,0.0011956356,0.20885773,0.00033566612],"about_ca_topic_score_codex":0.0005344589,"about_ca_topic_score_gemma":0.051293973,"teacher_disagreement_score":0.8298759,"about_ca_system_score_codex":0.000011122533,"about_ca_system_score_gemma":0.000006745028,"threshold_uncertainty_score":0.9660174},"labels":[],"label_agreement":null},{"id":"W4413763846","doi":"10.3390/agriculture15171820","title":"Computational, AI and IT Solutions Helping Agriculture","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"NorQuest College","funders":"","keywords":"Agriculture; Computer science; Biotechnology; Biology; Ecology","score_opus":0.012444805285165042,"score_gpt":0.21975212404496164,"score_spread":0.2073073187597966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413763846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68125516,0.0081166085,0.00031171506,0.27598986,0.0010466505,0.0013491783,0.00023177626,0.000802847,0.030896192],"genre_scores_gemma":[0.9824518,0.00019488846,0.00021456614,0.00966611,0.0006182149,0.000053082294,0.0005115076,0.00000101811,0.006288825],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99855304,0.00006331431,0.0002671632,0.00046841401,0.00023158296,0.0004164704],"domain_scores_gemma":[0.99933285,0.00014976689,0.00007564352,0.000055159224,0.00025773988,0.00012886529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011771052,0.0002786741,0.0002547879,0.000018737246,0.00078987866,0.00021012565,0.0002402393,0.00026313495,0.00013223449],"category_scores_gemma":[0.0000441312,0.00008368923,0.00013720429,0.0009672693,0.000066751854,0.00024968194,0.00015917422,0.00031088723,0.000055480603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009170542,0.00014434844,0.0036708936,0.000022404634,0.00008165272,0.000007246713,0.00015346463,0.00018607364,0.091654144,0.014311481,0.8785293,0.011229813],"study_design_scores_gemma":[0.0002638309,0.00007662343,0.3123796,0.0001457392,0.00007758982,0.00004957125,0.0012220449,0.000083425235,0.0009902094,0.003629106,0.6806354,0.00044690384],"about_ca_topic_score_codex":0.0001580686,"about_ca_topic_score_gemma":0.0009660925,"teacher_disagreement_score":0.3087087,"about_ca_system_score_codex":0.00003533413,"about_ca_system_score_gemma":0.000012958515,"threshold_uncertainty_score":0.6075188},"labels":[],"label_agreement":null},{"id":"W4413950831","doi":"10.3390/agriculture15171881","title":"Trajectory Tracking Control of an Orchard Robot Based on Improved Integral Sliding Mode Algorithm","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Chongqing University of Science and Technology; Chongqing University","keywords":"Trajectory; Tracking (education); Robot; Integral sliding mode; Sliding mode control; Mode (computer interface); Computer science; Orchard; Control theory (sociology); Artificial intelligence; Algorithm; Computer vision; Control (management); Biology; Physics; Agronomy; Psychology","score_opus":0.003151177910572429,"score_gpt":0.2008018363166244,"score_spread":0.19765065840605198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413950831","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08402166,0.0010369077,0.9078248,0.0003876543,0.001286859,0.0010164318,0.00020347071,0.0008707402,0.0033514923],"genre_scores_gemma":[0.9965257,0.000009649008,0.003022636,0.00012072627,0.00011943609,0.000045047138,0.00004689794,0.000017399296,0.0000924825],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991227,0.000032328076,0.00024438475,0.00021530545,0.00013082048,0.00025448803],"domain_scores_gemma":[0.99950284,0.000088992194,0.000040553525,0.00020417792,0.000092317045,0.00007113422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009518601,0.0002271962,0.00032367228,0.00010136925,0.00005207903,0.000032933116,0.0001963566,0.00017309962,0.000009370127],"category_scores_gemma":[0.000025245854,0.00016333855,0.0001560571,0.00020226659,0.000012611536,0.00012552258,0.000009442228,0.00031700957,0.0000017261538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036894777,0.00007992379,0.00004001743,0.00006359154,0.000078025296,0.000005290535,0.00007972153,0.70602465,0.21064207,0.00030085663,0.00018171949,0.08246722],"study_design_scores_gemma":[0.0014070309,0.0000888977,0.0027727585,0.00012178912,0.000053655225,0.0000012745597,0.0000880176,0.9883206,0.0066731405,0.000072009636,0.00020324811,0.0001975823],"about_ca_topic_score_codex":0.000056121204,"about_ca_topic_score_gemma":0.00011780236,"teacher_disagreement_score":0.9125041,"about_ca_system_score_codex":0.00008385904,"about_ca_system_score_gemma":0.000023978006,"threshold_uncertainty_score":0.6660753},"labels":[],"label_agreement":null},{"id":"W4414183931","doi":"10.3390/agriculture15181941","title":"Effects of Co-Application of Biochar and Nitrogen Fertilizer on Soil Properties and Microbial Communities in Tea Plantation","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Biochar; Amendment; Leaching (pedology); Fertilizer; Soil health; Slash-and-char; Nitrogen; Microbial population biology; Soil water","score_opus":0.013733443949359355,"score_gpt":0.22727758450680924,"score_spread":0.21354414055744989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414183931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980215,0.0010497344,4.6476217e-7,0.0005242643,0.0000068222703,0.0002446882,0.000013989852,0.0000065526247,0.00013198132],"genre_scores_gemma":[0.99946785,0.00034193558,0.0000053143467,0.00003919487,0.000011540436,0.000017937182,0.00004067011,2.5199319e-7,0.00007532028],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996065,0.00006687893,0.000093283146,0.0000813001,0.00007000826,0.0000820466],"domain_scores_gemma":[0.99975705,0.00012435256,0.000035914032,0.000020544894,0.000045957036,0.000016182681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007093917,0.00006229885,0.000112119036,0.000017869645,0.00005928279,0.000011573153,0.000066423505,0.000069854366,0.0000024878093],"category_scores_gemma":[0.000010905648,0.000019160963,0.000016346503,0.00015398068,0.0000751054,0.00003387428,0.00002974945,0.00007356799,7.7254043e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057511414,0.000066845765,0.008732332,0.00014794746,0.000007562409,2.1338708e-7,0.00038741226,0.0000010705678,0.9841222,0.00013418894,0.00027691963,0.006065764],"study_design_scores_gemma":[0.00016583258,0.000107263055,0.42081493,0.00010740923,0.0000067909896,9.3666864e-7,0.0012327397,0.000007221919,0.5771783,0.000077545425,0.0002584345,0.000042612668],"about_ca_topic_score_codex":0.0012074746,"about_ca_topic_score_gemma":0.0011190699,"teacher_disagreement_score":0.4120826,"about_ca_system_score_codex":0.0000061530745,"about_ca_system_score_gemma":0.0000034489124,"threshold_uncertainty_score":0.18253484},"labels":[],"label_agreement":null},{"id":"W4414390616","doi":"10.3390/agriculture15181990","title":"Developing Native Fish to Control Spirogyra in Paddy Fields for Improving the Growth, Nutrient Uptake, and Physiological Characteristics of Oryza sativa L.","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Agricultural Systems and Practices","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Yunnan Provincial Science and Technology Department; National Natural Science Foundation of China","keywords":"Oryza sativa; Spirogyra; Stomatal conductance; Biomass (ecology); Transpiration; Photosynthesis; Chlorophyll; Nutrient","score_opus":0.021551808733600672,"score_gpt":0.23893432915873844,"score_spread":0.21738252042513778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414390616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98045766,0.00015222367,0.000113889706,0.017937174,0.00013353699,0.0009586889,0.000088809415,0.000018900504,0.00013913008],"genre_scores_gemma":[0.9976595,0.00004449413,0.00011652421,0.0016291983,0.00020388963,0.00014060577,0.000034686556,5.14947e-7,0.00017059327],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989515,0.00009502639,0.00033243647,0.00028204542,0.00011269884,0.00022632175],"domain_scores_gemma":[0.9988195,0.0006753976,0.00018959254,0.000036958216,0.00023422494,0.00004434568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024627618,0.0001666002,0.00030307905,0.000009998819,0.00020209764,0.000060738155,0.0002122483,0.00016560408,0.000010845972],"category_scores_gemma":[0.0004474726,0.000042720596,0.0000721548,0.0004183501,0.00003637971,0.000110824,0.00008269779,0.00016691355,9.236906e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054220035,0.00037580534,0.029595273,0.00045164503,0.00021706271,0.000009700873,0.0025126527,0.000011274849,0.7340023,0.0642457,0.022096338,0.14594008],"study_design_scores_gemma":[0.00028170293,0.00024317869,0.9754442,0.00010728573,0.000025683494,0.0000029094413,0.0018031038,0.000013386931,0.00333443,0.00088093296,0.01768651,0.00017668484],"about_ca_topic_score_codex":0.00035480154,"about_ca_topic_score_gemma":0.000820518,"teacher_disagreement_score":0.94584894,"about_ca_system_score_codex":0.000030049225,"about_ca_system_score_gemma":0.000009980343,"threshold_uncertainty_score":0.17420954},"labels":[],"label_agreement":null},{"id":"W4414392295","doi":"10.3390/agriculture15181986","title":"Genetic Diversity and Population Structure of Wheat Germplasm for Grain Nutritional Quality Using Haplotypes and KASP Markers","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Germplasm; Genetic diversity; Population; Genetic variation; Genetic variability; Grain quality; Genetic structure","score_opus":0.019817872730723305,"score_gpt":0.24037172723370157,"score_spread":0.22055385450297826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414392295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99836004,0.0007539735,0.000014136422,0.00037523443,0.000071468996,0.00017699211,0.00021847186,0.000007859405,0.000021830392],"genre_scores_gemma":[0.998872,0.000072704555,0.0007780611,0.00008075913,0.000072260365,0.0000013910201,0.00007129582,2.863933e-7,0.000051275038],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995104,0.000039776016,0.00011629644,0.00017215424,0.00006237142,0.00009900634],"domain_scores_gemma":[0.99977005,0.00006957078,0.000045778397,0.000019774106,0.00006376573,0.000031071573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000052823423,0.00008199636,0.00013406304,0.0000089343175,0.00036783805,0.000014104325,0.000050012604,0.00012187515,0.000011504725],"category_scores_gemma":[0.0000137938305,0.00003149793,0.00003872013,0.00009890098,0.00004392406,0.000028898477,0.00009986585,0.000042226333,3.7209563e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005376174,0.000022486785,0.28593385,0.000058713824,0.000018329692,3.993949e-7,0.00006327222,0.000006110526,0.70768446,0.0012732394,0.00039765312,0.0044877464],"study_design_scores_gemma":[0.00016746811,0.00006479374,0.9907895,0.000019288767,0.0000305273,0.0000058308074,0.000098547476,0.00002810839,0.0015700166,0.006805416,0.00034180188,0.00007869921],"about_ca_topic_score_codex":0.00046157243,"about_ca_topic_score_gemma":0.00088655687,"teacher_disagreement_score":0.7061144,"about_ca_system_score_codex":0.0000062631652,"about_ca_system_score_gemma":0.000002263401,"threshold_uncertainty_score":0.28291503},"labels":[],"label_agreement":null},{"id":"W4414862374","doi":"10.3390/agriculture15192081","title":"Global Potential Distribution of Carpomya vesuviana Costa Under Climate Change and Potential Economic Impacts on Chinese Jujube Industries","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Ziziphus Jujuba Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agricultural Science and Technology Innovation Program; National Key Research and Development Program of China; Chinese Academy of Agricultural Sciences","keywords":"Distribution (mathematics); Climate change; Latitude; Habitat; Economic impact analysis; Quarter (Canadian coin); Climate change scenario; Precipitation; Seasonality","score_opus":0.010634941046780793,"score_gpt":0.230626105237953,"score_spread":0.2199911641911722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414862374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853591,0.00041443415,0.0000055273363,0.011368788,0.00015662878,0.00030702315,0.0017213267,0.000036274923,0.0006309226],"genre_scores_gemma":[0.99832827,0.0005602131,0.0000045126426,0.00020177873,0.00029911447,0.00002958446,0.0005161827,5.048218e-7,0.000059845897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991738,0.00002666118,0.00018493665,0.00026946806,0.000095087584,0.00025004536],"domain_scores_gemma":[0.9996804,0.000027782107,0.00010092538,0.000056840403,0.000061836945,0.00007220445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005506521,0.00017343243,0.00020374422,0.0000055761097,0.00030763337,0.000056558743,0.00013456818,0.00015755862,0.000023690116],"category_scores_gemma":[0.0000124847975,0.00006143843,0.0000747138,0.00034031397,0.000067916444,0.00009143053,0.00012594831,0.00009451728,0.0000073410533],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007169413,0.0012869188,0.32941893,0.00022616498,0.0007755562,0.000018962803,0.00033390432,0.00079768925,0.10523729,0.16590853,0.22361648,0.17166266],"study_design_scores_gemma":[0.00019899552,0.00010320981,0.99253213,0.000033105596,0.000042315973,0.0000041857093,0.0003582944,0.000016337694,0.00024183282,0.00086866756,0.005466681,0.00013422889],"about_ca_topic_score_codex":0.0007038636,"about_ca_topic_score_gemma":0.0010936357,"teacher_disagreement_score":0.66311324,"about_ca_system_score_codex":0.00009077073,"about_ca_system_score_gemma":0.000008582168,"threshold_uncertainty_score":0.25053865},"labels":[],"label_agreement":null},{"id":"W4415993001","doi":"10.3390/agriculture15222315","title":"Production Efficiency or Food Miles: Comparative Life Cycle Assessment of Local and Imported Peas and Lentils at Market in Western Europe","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus","funders":"Pulse Canada","keywords":"Sustainability; Production (economics); Agriculture; Commodity; Consumption (sociology); Western europe; Life-cycle assessment; Food processing; Impact assessment","score_opus":0.007928802912805287,"score_gpt":0.24793832791988693,"score_spread":0.24000952500708164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415993001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958739,0.00021889372,0.00012583422,0.0006484343,0.000043540407,0.0005232224,0.00000997776,0.000015457068,0.002540722],"genre_scores_gemma":[0.9976025,0.00011160222,0.000085093176,0.00008829201,0.000010560727,0.000018304116,0.000012448092,0.00000330667,0.002067879],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881995,0.00010698474,0.00025648053,0.00040614948,0.0001978173,0.00021260155],"domain_scores_gemma":[0.99963254,0.000036554335,0.000094552925,0.00013003664,0.000011223744,0.000095078685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017345934,0.00018191792,0.000238929,0.00002497702,0.00011323457,0.000019518624,0.00009491003,0.00008361232,0.00016418406],"category_scores_gemma":[0.00003081678,0.00010256955,0.000027393675,0.00042836604,0.00034110103,0.00021536769,0.00027917625,0.00014569964,0.0000034767413],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000176457,0.0008757937,0.9678527,0.00019439468,0.000059192105,0.000011977065,0.0033758983,0.005219218,0.009829158,0.000039782462,0.010631822,0.0017336074],"study_design_scores_gemma":[0.00037904413,0.00021786537,0.9924147,0.00004586555,0.000027359583,0.000015974205,0.0037915497,0.00027132465,0.0007536776,0.000027234073,0.0019120724,0.00014334792],"about_ca_topic_score_codex":0.00012402839,"about_ca_topic_score_gemma":0.001159514,"teacher_disagreement_score":0.024561986,"about_ca_system_score_codex":0.00022594888,"about_ca_system_score_gemma":0.000014007151,"threshold_uncertainty_score":0.41826648},"labels":[],"label_agreement":null},{"id":"W4416108360","doi":"10.3390/agriculture15222341","title":"Facilitating Farmers’ Monitoring Access to the Hemolymph of Codling Moth Larvae Cydia pomonella (Linnaeus, 1758) for Informed Decision-Making and Control Strategies in Apple Orchards","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Invertebrate Immune Response Mechanisms","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Hemolymph; Codling moth; Galleria mellonella; Larva; Bacillus thuringiensis; Integrated pest management; Biological pest control; Hemocyte; Pest control","score_opus":0.009911388999781286,"score_gpt":0.2859730138302884,"score_spread":0.2760616248305071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416108360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97268456,0.0030305425,0.021639766,0.00041080735,0.0006384915,0.0012551103,0.00014094633,0.000041734693,0.00015801816],"genre_scores_gemma":[0.99821234,0.00007369531,0.0011039498,0.00019630794,0.000024311648,0.00015916646,0.000030138921,0.000008849642,0.00019126364],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987555,0.00011475685,0.00042855108,0.00026729505,0.000056354438,0.0003775368],"domain_scores_gemma":[0.99801975,0.0014681554,0.0001360724,0.00018600773,0.00017461187,0.000015368809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044538188,0.00021454605,0.00037709583,0.00014513788,0.00025136748,0.00009104892,0.00040134852,0.00025651234,0.000008054164],"category_scores_gemma":[0.0006671056,0.00013247691,0.000078649115,0.00039602318,0.000058294798,0.00020055416,0.0001709738,0.00023674406,0.0000077996065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008072925,0.00005114269,0.0022576684,0.00016400183,0.00023681001,0.0000030974604,0.0065190443,0.0017631071,0.95533305,0.0022552197,0.0011108615,0.029498726],"study_design_scores_gemma":[0.0075963675,0.00036655128,0.02757751,0.0020355564,0.0001831389,0.000046024896,0.1182248,0.0005213068,0.8246109,0.002877961,0.015156654,0.000803225],"about_ca_topic_score_codex":0.00015318372,"about_ca_topic_score_gemma":0.00013175716,"teacher_disagreement_score":0.13072212,"about_ca_system_score_codex":0.000065064865,"about_ca_system_score_gemma":0.0001481164,"threshold_uncertainty_score":0.54022515},"labels":[],"label_agreement":null},{"id":"W4416672951","doi":"10.3390/agriculture15232420","title":"A Novel Laboratory Protocol for Pollen Viability Assessment to Inform Biosafety Evaluation of Transgenic Rice (Oryza sativa L.)","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Biotechnology Research Institute","funders":"Ministry of Science and Technology of the People's Republic of China","keywords":"Biosafety; Pollen; Germination; Genetically modified crops; Pollen tube; Genetically modified rice","score_opus":0.05430304951212863,"score_gpt":0.370512416472399,"score_spread":0.3162093669602704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416672951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60596275,0.000018034503,0.0011742512,0.03188009,0.00013631767,0.3539075,0.00083534134,0.00012524851,0.0059604826],"genre_scores_gemma":[0.8809354,6.149845e-7,0.0027863504,0.00026265197,0.00008745209,0.11564651,0.000053776537,0.0000012292521,0.00022606853],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99813086,0.0001282095,0.00036985817,0.00036391814,0.0007052533,0.00030189691],"domain_scores_gemma":[0.9980373,0.00021993114,0.00008290394,0.00011606556,0.0014272076,0.00011663227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011832197,0.00017082268,0.00022092473,0.000023552331,0.00020681281,0.00004140455,0.0003714503,0.00018528997,0.00024234942],"category_scores_gemma":[0.00029041566,0.000059419726,0.00011357928,0.0013240109,0.000044775916,0.00008347035,0.00008811335,0.000144069,0.0000073306264],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007558588,0.0003029342,0.00035125075,0.000089911526,0.000030341165,3.2538225e-8,0.000099455676,0.00005097439,0.9816311,0.0012298297,0.0019831574,0.014155402],"study_design_scores_gemma":[0.0010400303,0.00044399285,0.8296636,0.00004252957,0.000041070507,3.0344142e-7,0.00039090158,0.00009523656,0.13652442,0.0005376543,0.031034924,0.0001853391],"about_ca_topic_score_codex":0.00010189585,"about_ca_topic_score_gemma":0.00047196742,"teacher_disagreement_score":0.8451067,"about_ca_system_score_codex":0.00016671239,"about_ca_system_score_gemma":0.00018770799,"threshold_uncertainty_score":0.26535562},"labels":[],"label_agreement":null},{"id":"W4416916478","doi":"10.3390/agriculture15232498","title":"Simulation for Transversely Isotropic Citrus Tree Vibration Characteristics Based on the Frenet Frame","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Agriculture","funders":"Centre Scientifique et Technique du Bâtiment; Chongqing Science and Technology Commission","keywords":"Transverse isotropy; Isotropy; Vibration; Tree (set theory); Computer simulation; Normal mode","score_opus":0.009078368593136507,"score_gpt":0.20354971863972532,"score_spread":0.1944713500465888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416916478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.636757,0.00034146188,0.34372362,0.009993973,0.0014093993,0.002021935,0.00031692648,0.00072811096,0.0047075492],"genre_scores_gemma":[0.9992933,0.0000038825374,0.0001862798,0.00014750428,0.00010191247,0.00006940117,0.000074518284,0.000005540135,0.00011764173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9995846,0.000013173226,0.00012045545,0.00010171516,0.000071950955,0.00010811522],"domain_scores_gemma":[0.9994981,0.00031196067,0.00001558312,0.000111009176,0.000050258026,0.000013076625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003172506,0.00011187694,0.000107976455,0.000021850881,0.000112950074,0.000029966139,0.000066162596,0.00008538709,0.000012152774],"category_scores_gemma":[0.000068982015,0.00006357642,0.00007020178,0.00013663205,0.000011056904,0.000037920174,0.0000033533863,0.000093294315,0.0000038738685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013147615,0.00012068437,0.008339975,0.000369274,0.00022383369,9.789449e-7,0.001339387,0.923009,0.0093587255,0.007517563,0.031342417,0.018246679],"study_design_scores_gemma":[0.00072466815,0.00006670636,0.51182264,0.000050865543,0.00007544457,4.1981885e-8,0.00013772438,0.44128156,0.0013606106,0.00050625554,0.043790314,0.00018317997],"about_ca_topic_score_codex":0.000002537479,"about_ca_topic_score_gemma":0.00038721442,"teacher_disagreement_score":0.50348264,"about_ca_system_score_codex":0.000035008583,"about_ca_system_score_gemma":0.000005720853,"threshold_uncertainty_score":0.25925714},"labels":[],"label_agreement":null},{"id":"W4417234835","doi":"10.3390/agriculture15242562","title":"Design and Optimization of a Biomimetic Pineapple Harvester Device Based on the Mechanical Properties of the Stem-Fruit Junction","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Agriculture","funders":"Heilongjiang Bayi Agricultural University; Chinese Academy of Tropical Agricultural Sciences; National Natural Science Foundation of China","keywords":"Baffle; Work (physics); Rotational speed; Trajectory; Foundation (evidence); Field (mathematics); Intensity (physics); Production rate","score_opus":0.017909385008973898,"score_gpt":0.17876452992141387,"score_spread":0.16085514491243996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417234835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6913369,0.0021832108,0.29590252,0.0073883366,0.0004614701,0.0020179832,0.000010612314,0.00015131346,0.0005475927],"genre_scores_gemma":[0.9993362,0.000008482921,0.00040095078,0.000030480005,0.0000069727034,0.00002799517,7.04156e-7,0.0000030534568,0.00018514917],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996348,0.000051788775,0.00011308053,0.000069946385,0.00007590155,0.000054458396],"domain_scores_gemma":[0.99973875,0.00006433662,0.000022982464,0.000111063855,0.00005628948,0.000006552519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008725247,0.00007285523,0.000099138546,0.00001517636,0.000051760482,0.00001297895,0.00006625298,0.000044712422,0.0000020278796],"category_scores_gemma":[0.00002593279,0.00002860538,0.000030599767,0.00021131667,0.00002867137,0.00003904731,0.000019155106,0.0000573431,2.2767354e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006220129,0.00008920091,0.0009849161,0.0005955254,0.00014529754,1.05667155e-7,0.0005945924,0.8684688,0.1230057,0.0011565423,0.0038231907,0.0010738746],"study_design_scores_gemma":[0.0008077327,0.00015130766,0.038360044,0.0007260162,0.00025658804,0.0000011582612,0.0011146149,0.33319896,0.62340045,0.0000895759,0.0016463855,0.0002471732],"about_ca_topic_score_codex":0.000008871889,"about_ca_topic_score_gemma":0.00009920991,"teacher_disagreement_score":0.53526986,"about_ca_system_score_codex":0.000012769013,"about_ca_system_score_gemma":0.000006829024,"threshold_uncertainty_score":0.11664936},"labels":[],"label_agreement":null},{"id":"W7117126612","doi":"10.3390/agriculture16010040","title":"Climatic Variability and Adaptive Zoning of Maize Cultivation in High-Latitude Cold Regions","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Precipitation; Cropping; Climatic variability; Climate change; Zoning; Agriculture; Spatial variability; Crop","score_opus":0.01877906354369199,"score_gpt":0.2321152594798657,"score_spread":0.2133361959361737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117126612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99424875,0.00017092486,0.00001963062,0.003796622,0.00007131582,0.00052571076,0.00007680753,0.00005181332,0.0010384351],"genre_scores_gemma":[0.998739,0.00012298838,0.0005514441,0.00019547854,0.000058625348,0.000036746747,0.00009430555,6.7935656e-7,0.00020072258],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99876434,0.00013306136,0.0003409446,0.00033554056,0.00016935097,0.00025676895],"domain_scores_gemma":[0.9990824,0.0004505217,0.0001679858,0.00006985393,0.00016222261,0.00006704841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002806825,0.00019223022,0.00031548602,0.000023699356,0.00011643203,0.000040448067,0.00016741427,0.00022072197,0.00006083502],"category_scores_gemma":[0.000274769,0.00006430972,0.00005956254,0.00105884,0.00006738675,0.00019103146,0.00010146286,0.00021662984,0.0000027269919],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007331795,0.00051302696,0.09374435,0.00014797841,0.000059418726,0.0000063971097,0.0009252277,0.00015852378,0.8434044,0.052355677,0.005243396,0.0033682906],"study_design_scores_gemma":[0.0003099266,0.000100566846,0.99169225,0.00030509205,0.000029863666,0.0000032784524,0.0014032961,0.000059423965,0.002945326,0.0022306484,0.00073773245,0.00018260117],"about_ca_topic_score_codex":0.0006191953,"about_ca_topic_score_gemma":0.0024806445,"teacher_disagreement_score":0.8979479,"about_ca_system_score_codex":0.000082543025,"about_ca_system_score_gemma":0.000008529098,"threshold_uncertainty_score":0.26224744},"labels":[],"label_agreement":null},{"id":"W7117750055","doi":"10.3390/agriculture16010093","title":"Optimization of Sensor Combinations for Simplified Estimation of Reference Crop Evapotranspiration Using Machine Learning and SHAP Interpretation","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Agriculture","funders":"","keywords":"Interpretability; Evapotranspiration; Random forest; Estimation; Linear regression; Regression; Interpretation (philosophy); Regression analysis","score_opus":0.00850847280335089,"score_gpt":0.23587588549270203,"score_spread":0.22736741268935112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117750055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5705227,0.000027821497,0.42850602,0.000068219386,0.00001999875,0.00023662575,0.00003489141,0.000012207076,0.00057149766],"genre_scores_gemma":[0.9804543,0.00001721116,0.01905509,0.000009251891,0.0000015346951,0.0000071112845,0.00031012204,0.000002378303,0.00014294704],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957055,0.000025074536,0.00017766801,0.00010338894,0.00007293367,0.00005035994],"domain_scores_gemma":[0.9997578,0.000036356272,0.000117408104,0.000037574115,0.000039419036,0.000011391535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000071507784,0.000058997968,0.00008419865,0.000034754117,0.00007584004,0.000011203048,0.000033837125,0.00006217252,0.000011548686],"category_scores_gemma":[0.000036913447,0.000046243174,0.000019052512,0.0001783108,0.000031034866,0.0001401562,0.0000156439,0.000049982304,2.6692436e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012298231,0.000024986772,0.0039947922,0.000033034838,0.0000074826476,2.4384397e-8,0.00017943996,0.9612301,0.032296985,0.001047386,0.0000034607942,0.0011699919],"study_design_scores_gemma":[0.00024110387,0.00003350117,0.003986908,0.000043538672,0.00004522162,0.0000010358158,0.000022879709,0.99275637,0.0023757343,0.00040683697,0.000037673813,0.000049217677],"about_ca_topic_score_codex":0.00009353784,"about_ca_topic_score_gemma":0.00003863054,"teacher_disagreement_score":0.40993163,"about_ca_system_score_codex":0.00003142704,"about_ca_system_score_gemma":0.0000047181125,"threshold_uncertainty_score":0.1885742},"labels":[],"label_agreement":null}]}