{"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99790406,0.0011394969,0.00048798212,0.00003878757,0.000026682952,0.000018538085,0.000102453254,0.000011247175,0.0002708378],"genre_scores_gemma":[0.9951132,0.0010901858,0.00207841,0.00005017002,0.000010287746,0.000019453371,0.00016758543,0.000009922013,0.001460776],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984896,0.00003295542,0.000007794448,0.000032721353,0.0000464364,0.000031113403],"domain_scores_gemma":[0.9998487,0.000029235436,0.000031970914,0.0000075019825,0.000021743363,0.00006087635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023236802,0.0005849105,0.00043007493,0.00041870726,0.0002263612,0.00037120652,0.00023280643,0.0003858364,0.0008841517],"category_scores_gemma":[0.00018560496,0.00014678609,0.0005073751,0.0003151925,0.00019682737,0.00027667813,0.0002636118,0.00068943907,0.000096914286],"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":[0.0019900796,0.000614496,0.00041259834,0.00013392406,0.00003728006,0.00009145351,0.000029434814,0.000093039635,0.99332386,0.00002803685,0.000018968221,0.0032268574],"study_design_scores_gemma":[0.000088030516,0.012108412,0.014539666,0.00003583864,0.00016394681,0.00012712483,0.00009494887,0.00050079916,0.9710381,0.000038198017,0.0012482491,0.000016713646],"about_ca_topic_score_codex":0.0010491213,"about_ca_topic_score_gemma":0.0021467838,"teacher_disagreement_score":0.0010491213,"about_ca_system_score_codex":0.00020749259,"about_ca_system_score_gemma":0.00024060295,"threshold_uncertainty_score":0.0029577613},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990085,0.0002738822,0.00012598357,0.000006205347,0.000011344125,0.0000120838795,0.000047150046,0.0000114864415,0.00050338777],"genre_scores_gemma":[0.99759835,0.00035637434,0.0008351162,0.000012188611,0.0000040174536,0.000008784831,0.000106442996,0.000015046691,0.0010636816],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997538,0.000036963273,0.000029546627,0.00005011811,0.00008387419,0.000045721055],"domain_scores_gemma":[0.9997273,0.0000612134,0.00007035622,0.000016397194,0.000059077407,0.00006562375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016311827,0.000512917,0.00025131134,0.0004216858,0.00020831027,0.00039299988,0.00026470635,0.00026277365,0.0014836567],"category_scores_gemma":[0.00040583365,0.0001696382,0.00028760443,0.00039524894,0.00014498689,0.00023413627,0.00022301605,0.00033658423,0.00023098986],"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":[0.0016852582,0.00039004657,0.0012504335,0.00015770394,0.000054480184,0.00007862823,0.000039167622,0.0006636833,0.9899413,0.000026788799,0.000034759018,0.0056777294],"study_design_scores_gemma":[0.000013562138,0.0014186938,0.0054293405,0.000010044892,0.00006468981,0.000031444717,0.000038764112,0.000816933,0.9914854,0.0000067479714,0.0006771169,0.000007228196],"about_ca_topic_score_codex":0.00353064,"about_ca_topic_score_gemma":0.00664087,"teacher_disagreement_score":0.00353064,"about_ca_system_score_codex":0.0002491211,"about_ca_system_score_gemma":0.00024800465,"threshold_uncertainty_score":0.0070201755},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99772793,0.00010680654,0.00036464748,0.0002730896,0.0000147877845,0.0004501595,0.00004322434,0.000021787211,0.0009976231],"genre_scores_gemma":[0.99641454,0.0001825155,0.002146014,0.000094618925,0.000009275648,0.00040567006,0.00007954479,0.0000022380464,0.0006655035],"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99916244,0.00041587435,0.000037891747,0.00010858575,0.000082785285,0.00019246356],"domain_scores_gemma":[0.9980173,0.00027702138,0.00032523947,0.000061989806,0.00026054267,0.0010578468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010423443,0.00050119386,0.0002554727,0.0003527566,0.0014427924,0.00045616954,0.00061123545,0.00037182224,0.0020140295],"category_scores_gemma":[0.0017336559,0.00019518407,0.0002441036,0.00035215178,0.00042401545,0.00033761634,0.0014402495,0.0005852582,0.000114681585],"study_design_candidate":"nonrandomized_trial","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":[0.007066629,0.03174646,0.4729726,0.0042988723,0.0003792266,0.007555222,0.04426659,0.007686383,0.06445779,0.0009153099,0.0064884117,0.3521665],"study_design_scores_gemma":[0.001273435,0.027651679,0.8930845,0.00046824093,0.0002339351,0.0010373791,0.051616754,0.005558391,0.008068303,0.0005130663,0.010411434,0.000082945626],"about_ca_topic_score_codex":0.01915246,"about_ca_topic_score_gemma":0.024411624,"teacher_disagreement_score":0.01915246,"about_ca_system_score_codex":0.0011921643,"about_ca_system_score_gemma":0.0046439595,"threshold_uncertainty_score":0.038081944},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976544,0.0011798597,0.00083421543,0.00002285092,0.000006507464,0.000025859898,0.000029455216,0.000005041846,0.0002417255],"genre_scores_gemma":[0.99416625,0.0013102727,0.0035226943,0.000035929817,0.0000064494157,0.000023556337,0.00011094427,0.000005770059,0.00081826514],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999001,0.000018943585,0.000008390418,0.000022555956,0.000030440191,0.000019687957],"domain_scores_gemma":[0.999938,0.000010374743,0.000018308623,0.0000047183134,0.000017302858,0.000011215975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023971361,0.0003008526,0.00023062983,0.00016366901,0.00011074828,0.0001684096,0.0001445737,0.00018764849,0.0003328336],"category_scores_gemma":[0.00015407913,0.000093405295,0.0002749646,0.00014801239,0.00013597227,0.00016136198,0.00014670171,0.00031729214,0.00005089036],"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":[0.000091520604,0.0000446475,0.00011786102,0.00005068332,0.000006834129,0.000024473911,0.000014697341,0.00004569225,0.99846005,0.000013218256,0.0000051929574,0.0011252444],"study_design_scores_gemma":[0.000013519109,0.0013885304,0.0024768661,0.000008994441,0.000040597515,0.000061191655,0.00002432319,0.00019825852,0.9949587,0.000008303661,0.0008175502,0.000003191622],"about_ca_topic_score_codex":0.0010081063,"about_ca_topic_score_gemma":0.001985408,"teacher_disagreement_score":0.0010081063,"about_ca_system_score_codex":0.000181662,"about_ca_system_score_gemma":0.00016623586,"threshold_uncertainty_score":0.0020044446},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998253,0.00004960579,0.000032074244,0.0000034104532,8.596505e-7,0.0000019022933,0.000009666081,0.0000022935624,0.00007494481],"genre_scores_gemma":[0.9994566,0.00006385154,0.00020122563,0.000016067965,8.8013905e-7,0.000004963843,0.00006615586,0.0000024583983,0.00018793947],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998454,0.00004193112,0.000010330501,0.00004656124,0.000020835176,0.000034892317],"domain_scores_gemma":[0.9996424,0.00005194708,0.000061910876,0.000021038095,0.000028971088,0.0001937539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021798024,0.00023520442,0.00025519222,0.00021722172,0.000365124,0.00036375702,0.00031417218,0.00019645838,0.0004540778],"category_scores_gemma":[0.0002352466,0.00016012814,0.00015099614,0.00013713884,0.00022185997,0.00022186358,0.00042556904,0.00027188048,0.00007186842],"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":[0.0011924801,0.00019882622,0.01333945,0.00007256795,0.000049284423,0.00016230275,0.00026880592,0.00022539031,0.98068124,0.000046889636,0.000025919178,0.0037367605],"study_design_scores_gemma":[0.00010619493,0.005560896,0.8583149,0.000027935643,0.00014896346,0.00034100772,0.0013003788,0.0047975397,0.12731594,0.00023572061,0.0018067614,0.00004391077],"about_ca_topic_score_codex":0.00945255,"about_ca_topic_score_gemma":0.023842357,"teacher_disagreement_score":0.00945255,"about_ca_system_score_codex":0.0006712046,"about_ca_system_score_gemma":0.00040996412,"threshold_uncertainty_score":0.018795073},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47805,0.03128735,0.0028743278,0.057678763,0.00024571354,0.0009339545,0.019903267,0.00011927456,0.40890735],"genre_scores_gemma":[0.94652444,0.015334213,0.0034295947,0.0023882748,0.00003892081,0.00012589002,0.002563588,0.000026422407,0.02956865],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9945503,0.00035029234,0.00010990811,0.00013202615,0.0031618224,0.0016956746],"domain_scores_gemma":[0.9945216,0.00031228017,0.00020478544,0.000034488992,0.0040136934,0.0009130895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024463756,0.00072258495,0.0004604944,0.0030611327,0.004430365,0.0069212164,0.0013728433,0.0016593602,0.0034448432],"category_scores_gemma":[0.004297602,0.00042013763,0.0008484769,0.0063308924,0.0012159009,0.0016446797,0.0016473996,0.0015680365,0.0002347456],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00080991833,0.00044419453,0.25045305,0.0031944101,0.00059629005,0.0018607577,0.0038440255,0.085263416,0.0034276524,0.31141454,0.1373258,0.20136599],"study_design_scores_gemma":[0.0002536956,0.00041972066,0.4800912,0.0017591938,0.00086707814,0.00038299806,0.021702293,0.047879685,0.0030005767,0.02975566,0.4134889,0.0003989906],"about_ca_topic_score_codex":0.9965731,"about_ca_topic_score_gemma":0.9979678,"teacher_disagreement_score":0.79061073,"about_ca_system_score_codex":0.20938927,"about_ca_system_score_gemma":0.27427784,"threshold_uncertainty_score":0.91699636},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990872,0.00012574586,0.000047865953,0.00016363655,0.0000040995706,0.000009929598,0.000007987594,6.5626216e-7,0.000552891],"genre_scores_gemma":[0.99940157,0.00018002868,0.000077785226,0.000035771936,0.0000021722044,0.000009863229,0.0000056775443,4.9110713e-7,0.00028664435],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9993011,0.00036520604,0.000018884486,0.000044900145,0.0000381176,0.00023177608],"domain_scores_gemma":[0.99914384,0.00039023266,0.00020585967,0.000019886942,0.00007340791,0.0001667966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001595151,0.00031373726,0.0001859777,0.0006250395,0.0026206132,0.0012728004,0.00039293323,0.00038426404,0.0021981031],"category_scores_gemma":[0.0019451225,0.00020551674,0.00012284619,0.0008076394,0.0020298015,0.0010991938,0.0012438897,0.00049601845,0.000096652366],"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":[0.00032883926,0.00023486541,0.22419508,0.0004547886,0.000027376222,0.016070478,0.7067169,0.0003256007,0.00874827,0.0017700266,0.0009851673,0.04014258],"study_design_scores_gemma":[0.000006684471,0.00017170336,0.15110001,0.00013798568,0.000014426276,0.0008122632,0.8428384,0.0002001671,0.00038116585,0.00026165062,0.004053179,0.000022325834],"about_ca_topic_score_codex":0.02225307,"about_ca_topic_score_gemma":0.056857087,"teacher_disagreement_score":0.02225307,"about_ca_system_score_codex":0.0017320993,"about_ca_system_score_gemma":0.0017079512,"threshold_uncertainty_score":0.04424709},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99848205,0.00010440664,0.00033472953,0.00020672122,0.0000017216059,0.000019978475,0.0001068359,0.0000017474086,0.0007419255],"genre_scores_gemma":[0.99948454,0.00007968014,0.00015699671,0.000011646189,0.00000193676,0.000016815386,0.00007394305,0.0000010508002,0.00017342655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993037,0.00041478168,0.000029922634,0.00006911775,0.000041003044,0.00014152101],"domain_scores_gemma":[0.9954594,0.0024769607,0.0014078077,0.00010705844,0.00019604007,0.00035282952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009524889,0.00017184758,0.00022957672,0.0013646686,0.0006934419,0.0008726323,0.0003360981,0.00048801428,0.0031520533],"category_scores_gemma":[0.006854524,0.0001367866,0.00022480548,0.002876962,0.0006373774,0.0016045626,0.0013119483,0.0004031409,0.00017537863],"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":[0.0001412097,0.00020168703,0.9657561,0.00007316248,0.00008280408,0.00057270296,0.011784316,0.0018775853,0.0002685763,0.0016963355,0.00043775525,0.01710771],"study_design_scores_gemma":[0.0000156434,0.00008739754,0.9565544,0.000069757916,0.000046887544,0.00015798882,0.026769532,0.013533156,0.000066997294,0.0013831946,0.001306483,0.000008673017],"about_ca_topic_score_codex":0.041410815,"about_ca_topic_score_gemma":0.03556064,"teacher_disagreement_score":0.041410815,"about_ca_system_score_codex":0.0015237732,"about_ca_system_score_gemma":0.0008060011,"threshold_uncertainty_score":0.082339525},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99413306,0.0007842391,0.000033877128,0.0003068064,0.0000046331106,0.000010576712,0.000040106348,0.000001984054,0.0046847956],"genre_scores_gemma":[0.9983339,0.0002637782,0.00006103273,0.000047167745,0.0000013791727,0.000005791789,0.000024545729,8.183524e-7,0.0012615962],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9998431,0.000056742305,0.0000028802656,0.000018582787,0.000008531983,0.00007004941],"domain_scores_gemma":[0.9998348,0.000040490075,0.00006113318,0.0000061760397,0.000012201928,0.00004522063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038747594,0.00012674501,0.000104613784,0.00045270644,0.0013770794,0.0013474232,0.00044987278,0.00026491995,0.0025420238],"category_scores_gemma":[0.00048132497,0.000102806815,0.000075743446,0.00068333594,0.0017391954,0.0006689516,0.00120087,0.00033834338,0.000083918065],"study_design_candidate":"qualitative","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":[0.00029437745,0.0002733851,0.5796062,0.0005945771,0.00005226386,0.005507715,0.31880552,0.0005234168,0.008098967,0.011989942,0.0030473585,0.07120639],"study_design_scores_gemma":[0.0000113826,0.00009624906,0.61525613,0.00025423232,0.000013622865,0.00048348884,0.35714447,0.00010805156,0.00045335275,0.000453585,0.025712306,0.000013107054],"about_ca_topic_score_codex":0.11182424,"about_ca_topic_score_gemma":0.26984784,"teacher_disagreement_score":0.11182424,"about_ca_system_score_codex":0.003163954,"about_ca_system_score_gemma":0.0015705252,"threshold_uncertainty_score":0.22234672},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9586571,0.00016033764,0.0047583194,0.004345982,0.000046579105,0.00020527886,0.000013715679,0.000045137407,0.031767555],"genre_scores_gemma":[0.9944484,0.000092678885,0.0023474575,0.0002567622,0.000007697816,0.000052645282,0.0000065742393,0.000009172471,0.0027786584],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9881535,0.007955202,0.00018104978,0.00035161438,0.00064476073,0.0027138814],"domain_scores_gemma":[0.9950406,0.0019900352,0.000426473,0.00043012973,0.00044706647,0.0016657443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008672644,0.0002523563,0.00026422198,0.00058091054,0.011502868,0.00563944,0.0019215773,0.0026272333,0.004838953],"category_scores_gemma":[0.0071303654,0.00028796383,0.00044494707,0.0012340471,0.00772021,0.003592865,0.008150256,0.0022275015,0.00063121004],"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":[0.0004169657,0.0023598927,0.04432783,0.0007671832,0.00004679546,0.016193861,0.642526,0.00541825,0.0087468885,0.09595238,0.0062301285,0.17701395],"study_design_scores_gemma":[0.00002537516,0.00076912064,0.017003443,0.00020657077,0.000014123661,0.0009087147,0.90260893,0.001456188,0.0026789552,0.005601906,0.068672836,0.000053787244],"about_ca_topic_score_codex":0.00771266,"about_ca_topic_score_gemma":0.022992624,"teacher_disagreement_score":0.011502868,"about_ca_system_score_codex":0.009486403,"about_ca_system_score_gemma":0.008937106,"threshold_uncertainty_score":0.068829},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997379,0.000042268544,0.00006071481,0.000008623148,0.000005553984,0.00002402741,0.000069078174,0.0000027386425,0.000048928203],"genre_scores_gemma":[0.99812514,0.000118816606,0.00067320676,0.00006319655,0.0000099307135,0.000053745374,0.0003493037,0.0000045659785,0.0006020583],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996835,0.000066129876,0.000038783062,0.00010878669,0.000047344573,0.000055539072],"domain_scores_gemma":[0.9990834,0.00018746428,0.00022036322,0.00006699791,0.00010052927,0.0003412779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007125995,0.0004027898,0.0007792773,0.0001762692,0.00036726275,0.0005279626,0.0005613161,0.0003817624,0.0005226207],"category_scores_gemma":[0.0006542587,0.00022437937,0.0004397924,0.00017116126,0.00041479725,0.0003121176,0.00028317812,0.00050739467,0.000114127506],"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":[0.03161472,0.0096296705,0.018767826,0.00018493287,0.00014643157,0.0002198305,0.00021725448,0.0004971601,0.9319652,0.000024698453,0.00011011654,0.006622167],"study_design_scores_gemma":[0.0025606095,0.20395042,0.408605,0.00003021686,0.00044221678,0.00026790667,0.0006527779,0.002603349,0.37883386,0.00009568052,0.0018767159,0.00008121779],"about_ca_topic_score_codex":0.007472001,"about_ca_topic_score_gemma":0.01683339,"teacher_disagreement_score":0.007472001,"about_ca_system_score_codex":0.000888278,"about_ca_system_score_gemma":0.0008235831,"threshold_uncertainty_score":0.014857054},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99900997,0.00006366106,0.000037775422,0.00008540356,0.00000161071,0.000008803203,0.00010908644,0.0000010666815,0.00068247726],"genre_scores_gemma":[0.99939215,0.00014012736,0.00009601796,0.000016448981,0.0000016207458,0.000008169641,0.000054196214,5.964683e-7,0.00029056202],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999907,0.000019449388,0.000005714653,0.000014661678,0.000015463975,0.000037598846],"domain_scores_gemma":[0.9998323,0.000041136464,0.000056156252,0.0000047422773,0.00002562612,0.000040066137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016643283,0.00016302046,0.00010222565,0.00029180042,0.0007672873,0.00047717156,0.00015506486,0.00026325363,0.0012430737],"category_scores_gemma":[0.0005364075,0.00012997628,0.00012395569,0.0005754289,0.0002648664,0.00044809195,0.00036312212,0.00024852066,0.00009079859],"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":[0.00014025354,0.00008579513,0.96218425,0.000112010806,0.00004097484,0.002909171,0.007737998,0.0026712671,0.005432531,0.0007308251,0.0006436004,0.017311454],"study_design_scores_gemma":[0.000006104944,0.00014766389,0.97666556,0.000044597626,0.000026187554,0.00032349053,0.016377568,0.0034435256,0.00044377538,0.00023598692,0.002265577,0.000019975008],"about_ca_topic_score_codex":0.07122234,"about_ca_topic_score_gemma":0.23070863,"teacher_disagreement_score":0.07122234,"about_ca_system_score_codex":0.001213296,"about_ca_system_score_gemma":0.0009487944,"threshold_uncertainty_score":0.14161557},"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":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001989693,0.996238,0.0002518361,0.00037575775,0.000062321924,0.00008057107,0.0008247515,0.000007759281,0.000169384],"genre_scores_gemma":[0.022525983,0.9751731,0.00073216483,0.00056833855,0.000067154004,0.00020700283,0.0006125172,0.000007428193,0.0001061738],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99600345,0.0011483311,0.001544796,0.0004934137,0.0006588792,0.00015117152],"domain_scores_gemma":[0.9784177,0.015688578,0.0032245358,0.0003296544,0.0021320537,0.00020753691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006910986,0.001146759,0.005075412,0.012210719,0.00039746423,0.0020855186,0.0011974587,0.0010249653,0.0023118837],"category_scores_gemma":[0.022764837,0.00070475746,0.008261875,0.013153628,0.0006343437,0.0018054937,0.0010686493,0.0008693078,0.00018237825],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018564529,0.000029430465,0.0050474256,0.9084618,0.019236693,0.00016778051,0.00030954942,0.00027224896,0.0003138537,0.00043728907,0.0022267387,0.06331158],"study_design_scores_gemma":[0.00015618825,0.00027587026,0.02328763,0.7536979,0.1800988,0.00063023786,0.000772854,0.00037196148,0.00043411576,0.0009952534,0.03919963,0.00007963383],"about_ca_topic_score_codex":0.014179916,"about_ca_topic_score_gemma":0.03924655,"teacher_disagreement_score":0.014179916,"about_ca_system_score_codex":0.0022481286,"about_ca_system_score_gemma":0.011532476,"threshold_uncertainty_score":0.03654921},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018585825,0.999092,0.000026148933,0.00007567527,0.000034845514,0.0000051947227,0.000037817234,0.0000027215297,0.0005398001],"genre_scores_gemma":[0.0010383823,0.99862325,0.00007765263,0.000051643266,0.000016832026,0.000002952497,0.00003515882,8.2251876e-7,0.00015329468],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996792,0.000029038707,0.000060942642,0.00004889478,0.00014621696,0.00003579679],"domain_scores_gemma":[0.99887556,0.0004790303,0.0001890564,0.000017934452,0.0003676748,0.00007062406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007195844,0.000905657,0.0013666266,0.004093173,0.0006123719,0.0014947867,0.001190647,0.00078318344,0.0037270326],"category_scores_gemma":[0.001328104,0.0003082111,0.0006885887,0.0048783794,0.00061466434,0.00094602146,0.00055306667,0.000810436,0.00051817676],"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":[0.00014021932,0.00009248577,0.0006338823,0.12956157,0.00027973385,0.0003118354,0.00027070928,0.00053111016,0.0010706807,0.0016876821,0.015613287,0.84980685],"study_design_scores_gemma":[0.000024735424,0.00017072195,0.0060160733,0.04392513,0.0010372719,0.0012430009,0.0003263935,0.0001308182,0.0006867374,0.00062727195,0.94576114,0.000050658095],"about_ca_topic_score_codex":0.14427568,"about_ca_topic_score_gemma":0.26047853,"teacher_disagreement_score":0.85572433,"about_ca_system_score_codex":0.0032061858,"about_ca_system_score_gemma":0.011628976,"threshold_uncertainty_score":0.2868718},"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":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65109223,0.023250459,0.015286544,0.21150893,0.00009778786,0.00004824153,0.00016423495,0.00003841051,0.098513134],"genre_scores_gemma":[0.98675704,0.0085460935,0.0021024882,0.0011479962,0.000038265734,0.000020056284,0.000017713151,0.0000035685086,0.0013668756],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99843735,0.0007137697,0.000068380454,0.00018927864,0.00023198845,0.00035923807],"domain_scores_gemma":[0.99381703,0.0038136025,0.0011347759,0.00015229959,0.0007310813,0.0003512766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004271474,0.0002925698,0.0003820052,0.0023910552,0.0018231624,0.0052637802,0.0009631509,0.001876751,0.0017496411],"category_scores_gemma":[0.0054873824,0.00013286433,0.0002576969,0.0024804282,0.009304446,0.0036693073,0.004621755,0.0013549892,0.00007025842],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010234498,0.00028544583,0.050511274,0.0017113452,0.00011257497,0.002129656,0.05416753,0.008429635,0.0017219388,0.73788434,0.004115511,0.13882832],"study_design_scores_gemma":[0.00005075523,0.00030082822,0.12181195,0.0031022944,0.00014957294,0.00064265705,0.14391088,0.011660025,0.0021521535,0.52668995,0.18938021,0.00014871199],"about_ca_topic_score_codex":0.027959097,"about_ca_topic_score_gemma":0.052761104,"teacher_disagreement_score":0.027959097,"about_ca_system_score_codex":0.007467447,"about_ca_system_score_gemma":0.008113956,"threshold_uncertainty_score":0.055592716},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982935,0.00013972571,0.015649509,0.000021953272,0.000023780467,0.00009400335,0.00057228043,0.00006510547,0.00049863016],"genre_scores_gemma":[0.9657606,0.00022615246,0.03156538,0.00008372527,0.000017661523,0.00024918656,0.0014334173,0.000029210214,0.0006347035],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99849105,0.0004131949,0.00013323745,0.0003428475,0.00050558965,0.00011411783],"domain_scores_gemma":[0.99703526,0.0011682624,0.00064694346,0.00029141203,0.0007426034,0.00011556073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001698623,0.00045422674,0.00042315785,0.00056462194,0.0002186997,0.00057254167,0.00068525557,0.00055985124,0.0007406817],"category_scores_gemma":[0.0050885514,0.0002983459,0.00043519412,0.00046731313,0.0002752316,0.00034241684,0.0004986471,0.00036877292,0.00032041647],"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":[0.0021003804,0.00088468846,0.6383769,0.0003497791,0.00027296526,0.00015574525,0.00091005303,0.0039058505,0.27630028,0.000088345696,0.00039642668,0.076258615],"study_design_scores_gemma":[0.000055936012,0.004252751,0.90563107,0.000053848784,0.0001731412,0.0003441494,0.00034926238,0.020679183,0.06695219,0.0000469142,0.0014130545,0.00004848205],"about_ca_topic_score_codex":0.0037368827,"about_ca_topic_score_gemma":0.006224415,"teacher_disagreement_score":0.0037368827,"about_ca_system_score_codex":0.00032042776,"about_ca_system_score_gemma":0.00045023597,"threshold_uncertainty_score":0.008983314},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6700257,0.31341994,0.008967319,0.00031019704,0.00018790006,0.00010647938,0.004325672,0.00016409358,0.0024927515],"genre_scores_gemma":[0.9730374,0.019348798,0.004873157,0.00024454316,0.000060151182,0.00008963645,0.002009425,0.000035540717,0.00030139164],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975926,0.000978923,0.0002691571,0.00084763096,0.00023693146,0.000074783515],"domain_scores_gemma":[0.9961546,0.0022775393,0.00087517704,0.00039696318,0.00021405166,0.00008159559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039467355,0.00085788313,0.0018311405,0.0019610669,0.00027196683,0.0012925189,0.00050035806,0.00041283134,0.0015240816],"category_scores_gemma":[0.0037496916,0.00040279323,0.00420824,0.0036023739,0.00055588724,0.00064085395,0.00060848927,0.00038001203,0.00016494052],"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":[0.0036405062,0.00013700293,0.5297992,0.026932029,0.33693883,0.00024248373,0.0004180715,0.0016702792,0.017185656,0.0009824404,0.00090828654,0.08114524],"study_design_scores_gemma":[0.0003525852,0.00096358487,0.8628649,0.0011683799,0.11893836,0.00039006025,0.00034371985,0.001382854,0.0037477291,0.0016245848,0.008155797,0.00006733745],"about_ca_topic_score_codex":0.0040956615,"about_ca_topic_score_gemma":0.008513914,"teacher_disagreement_score":0.0040956615,"about_ca_system_score_codex":0.0003899708,"about_ca_system_score_gemma":0.0002940805,"threshold_uncertainty_score":0.020872593},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994871,0.00009223049,0.0005385856,0.0007384127,0.000009666663,0.000052863907,0.000055006676,0.0000070723763,0.003635179],"genre_scores_gemma":[0.9929577,0.00036351994,0.0008660891,0.00021793784,0.000006560173,0.00007830482,0.00004869556,0.000013942973,0.0054472745],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99799806,0.00092578336,0.00007201332,0.0002103395,0.00035381,0.000440004],"domain_scores_gemma":[0.9946325,0.0032348589,0.00046849344,0.00014267424,0.0007969806,0.0007245181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003013909,0.0003500224,0.00041411514,0.0006389892,0.010134395,0.002600316,0.0007729855,0.0008694838,0.0027514792],"category_scores_gemma":[0.006094494,0.000477394,0.00017493272,0.0013313993,0.004844814,0.0016406775,0.0024796603,0.00091098825,0.00023040036],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004139131,0.000020760106,0.00938497,0.000049011385,0.0000025818379,0.0007997829,0.9839156,0.0000516308,0.0017150562,0.00022573097,0.00032753922,0.0034659696],"study_design_scores_gemma":[0.000004742344,0.000042390122,0.009931108,0.00005315341,0.0000061273763,0.00006483218,0.9756497,0.00018269022,0.00028332797,0.000072554125,0.013694979,0.000014383477],"about_ca_topic_score_codex":0.68698066,"about_ca_topic_score_gemma":0.86004096,"teacher_disagreement_score":0.31301934,"about_ca_system_score_codex":0.015943127,"about_ca_system_score_gemma":0.013551048,"threshold_uncertainty_score":0.6297255},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5751217,0.16383405,0.06053895,0.020062588,0.0013839838,0.00017353227,0.0016102742,0.000309372,0.17696553],"genre_scores_gemma":[0.933921,0.044717718,0.0064470377,0.0012613734,0.00027311977,0.000051967436,0.00026005285,0.000029467608,0.013038349],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994991,0.00008398175,0.000013850113,0.00011443203,0.0002422256,0.000046475256],"domain_scores_gemma":[0.9998115,0.000087035514,0.000041037103,0.000014376831,0.000030453579,0.000015593288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025609796,0.00024244656,0.0002127311,0.0005138485,0.0005362362,0.0010401119,0.00036835604,0.0007734184,0.0029670505],"category_scores_gemma":[0.0009256424,0.00020747143,0.00016518605,0.00040858687,0.0017320854,0.0021878863,0.00075827574,0.0008767006,0.0005971498],"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":[0.0002296206,0.00020802558,0.013761534,0.002421265,0.00014437681,0.0013139475,0.0009446614,0.011715448,0.54073775,0.22367205,0.014337489,0.1905139],"study_design_scores_gemma":[0.00004584903,0.00063610746,0.020325195,0.00024998235,0.000067928304,0.0012995998,0.002057944,0.009453745,0.3808723,0.19724478,0.38760057,0.00014597746],"about_ca_topic_score_codex":0.0015062598,"about_ca_topic_score_gemma":0.0011787505,"teacher_disagreement_score":0.0029670505,"about_ca_system_score_codex":0.0007497793,"about_ca_system_score_gemma":0.0005316455,"threshold_uncertainty_score":0.009925783},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99337703,0.00012114052,0.0034454067,0.00015509439,0.000022016919,0.0000703003,0.00094049727,0.00014348347,0.0017250625],"genre_scores_gemma":[0.9926611,0.00011722993,0.005055114,0.00002340093,0.0000062647277,0.0000347814,0.0014869487,0.000009728982,0.00060527417],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99972874,0.000069223155,0.000018493787,0.000087643406,0.00007002431,0.000025825813],"domain_scores_gemma":[0.99902546,0.00047974708,0.0000676769,0.000054375043,0.00031372937,0.00005910184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00111755,0.00087841315,0.000435868,0.00043432342,0.00028135648,0.00049397285,0.00065182743,0.00058826775,0.00046906996],"category_scores_gemma":[0.0022181778,0.00019473644,0.0004151705,0.0006060792,0.00021279744,0.0007337508,0.0002634947,0.00038033203,0.00009537735],"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":[0.0005325797,0.00036128162,0.0572388,0.00023380925,0.00015268826,0.00029904404,0.00016002476,0.8925479,0.00749957,0.0003928448,0.0015262042,0.03905529],"study_design_scores_gemma":[0.00003117979,0.00015881195,0.030450007,0.000010929251,0.000027215034,0.00001764966,0.00019849926,0.96566796,0.0028015943,0.00009560508,0.0005236032,0.000016951999],"about_ca_topic_score_codex":0.22025576,"about_ca_topic_score_gemma":0.1922393,"teacher_disagreement_score":0.22025576,"about_ca_system_score_codex":0.0026207715,"about_ca_system_score_gemma":0.0015167639,"threshold_uncertainty_score":0.43794745},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981129,0.000026087582,0.0016811292,0.000005933776,0.0000035085047,0.0000051382726,0.000018573446,0.000013182698,0.00013356694],"genre_scores_gemma":[0.99673694,0.000037974245,0.0029072193,0.00001121624,0.0000018524199,0.000009758788,0.000043328713,0.0000035683247,0.00024807508],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998528,0.000016345792,0.000007249583,0.000039037266,0.00004957679,0.000034969897],"domain_scores_gemma":[0.9998697,0.000037807968,0.00003536051,0.000009793326,0.000027741527,0.000019458586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018819053,0.00026326193,0.00020915513,0.00012619425,0.00021742996,0.00026801688,0.0002816979,0.0002528939,0.0002735268],"category_scores_gemma":[0.00020541858,0.00012117643,0.00018774586,0.0001002424,0.00021393364,0.00022007924,0.0002967785,0.00021753117,0.00006335915],"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":[0.00017262914,0.00009816666,0.005008214,0.000039000362,0.000010374752,0.000056327925,0.00002901668,0.002358576,0.9885965,0.000036475754,0.000023498042,0.0035712682],"study_design_scores_gemma":[0.000026637883,0.0015286058,0.03124691,0.0000076133583,0.000030169394,0.00005810104,0.00012257307,0.025721285,0.94077075,0.00003797339,0.00043305746,0.000016293694],"about_ca_topic_score_codex":0.00247056,"about_ca_topic_score_gemma":0.0054030064,"teacher_disagreement_score":0.00247056,"about_ca_system_score_codex":0.00030701983,"about_ca_system_score_gemma":0.0002163901,"threshold_uncertainty_score":0.004912317},"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":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1368839,0.009082719,0.005216991,0.6189484,0.004479563,0.000067915695,0.0001823755,0.00013446053,0.22500373],"genre_scores_gemma":[0.9426039,0.0062841177,0.002524354,0.021622417,0.0007110595,0.00003543972,0.000066046836,0.000064187116,0.026088484],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99860185,0.00060700235,0.000052656243,0.00013988336,0.0003241875,0.0002745428],"domain_scores_gemma":[0.9977627,0.0011826601,0.00020878238,0.00009025301,0.00053563353,0.00022000162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013018567,0.00022848837,0.00010682286,0.00073173275,0.005483748,0.005946019,0.00086285314,0.0018879646,0.0019162857],"category_scores_gemma":[0.003516088,0.0001108069,0.00017398718,0.002134449,0.0052298806,0.0025093835,0.0018400161,0.002732436,0.0003090706],"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":[0.000087655164,0.000032592372,0.005771632,0.00065387937,0.000018077559,0.0028625655,0.1367037,0.0010671855,0.002834676,0.5717032,0.20994343,0.06832156],"study_design_scores_gemma":[0.0000040319846,0.00003007334,0.005187622,0.00036676403,0.0000150679,0.00045179567,0.112965345,0.0005233826,0.0010485882,0.028656796,0.8507112,0.000039353945],"about_ca_topic_score_codex":0.050263748,"about_ca_topic_score_gemma":0.11866191,"teacher_disagreement_score":0.050263748,"about_ca_system_score_codex":0.006700127,"about_ca_system_score_gemma":0.008570274,"threshold_uncertainty_score":0.099942386},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99861455,0.00018825846,0.00029531724,0.000010983673,0.00000461925,0.00001379919,0.0005378871,0.0000075473845,0.00032699553],"genre_scores_gemma":[0.99720144,0.00036556795,0.0010087871,0.000024835275,0.000005466622,0.000036345522,0.0007688593,0.000013134009,0.00057562225],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99974924,0.000017655271,0.000016992077,0.00009757976,0.000059101018,0.000059400503],"domain_scores_gemma":[0.9997141,0.000054149445,0.000049913597,0.000013044105,0.00012432484,0.00004452742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028606615,0.0004450754,0.00034619105,0.00046910573,0.00043658153,0.0008458961,0.00031959184,0.00043388185,0.00047996864],"category_scores_gemma":[0.00039919504,0.000223903,0.0002412871,0.0006561627,0.00029285921,0.00043248554,0.00020978527,0.0004429152,0.00014180389],"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":[0.00027708622,0.000046642017,0.0077456674,0.00006214901,0.000036453483,0.00004089061,0.00009154107,0.0002408361,0.98891956,0.00003107393,0.000024993808,0.0024831751],"study_design_scores_gemma":[0.000022139195,0.0007128867,0.21564358,0.000020311107,0.00012244914,0.0001011737,0.0006167052,0.0020425871,0.77886295,0.00011288163,0.0017035175,0.000038868915],"about_ca_topic_score_codex":0.018681418,"about_ca_topic_score_gemma":0.022481032,"teacher_disagreement_score":0.018681418,"about_ca_system_score_codex":0.0007371893,"about_ca_system_score_gemma":0.00057124626,"threshold_uncertainty_score":0.037145317},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982311,0.0001887059,0.00012522197,0.00005102463,0.000004410496,0.000008329065,0.0007569127,0.000006303005,0.00062789716],"genre_scores_gemma":[0.99770004,0.0002039973,0.00040657324,0.00004902337,0.0000042170614,0.000008941298,0.0008834297,0.0000064165783,0.0007374436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995066,0.00003270198,0.000018063192,0.00018286446,0.000120284065,0.0001393563],"domain_scores_gemma":[0.99946934,0.00005956906,0.00010965815,0.000035738693,0.00020255962,0.00012326364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055733504,0.00036433016,0.0003631112,0.0014635148,0.0020171488,0.0006793426,0.00072730804,0.0003999593,0.0019298015],"category_scores_gemma":[0.001072649,0.00026518403,0.00047356554,0.002647271,0.00050436525,0.00016354189,0.0003925633,0.00031668105,0.00013810006],"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":[0.00030032624,0.00002816579,0.9847015,0.000030388423,0.00017103982,0.00034968086,0.00078721996,0.00013406108,0.0051356493,0.00014626171,0.0005772729,0.0076384065],"study_design_scores_gemma":[0.0000071848635,0.000016470975,0.99891007,0.0000066114985,0.000032622112,0.0000695147,0.00023531461,0.00015843872,0.000076203076,0.000012692255,0.0004703887,0.0000045252605],"about_ca_topic_score_codex":0.9226338,"about_ca_topic_score_gemma":0.96487457,"teacher_disagreement_score":0.07736617,"about_ca_system_score_codex":0.0039341026,"about_ca_system_score_gemma":0.004840048,"threshold_uncertainty_score":0.15564352},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69351023,0.016191151,0.2699858,0.0045451587,0.000513292,0.00032915914,0.0007491909,0.001382906,0.012793065],"genre_scores_gemma":[0.75448364,0.00931208,0.22979462,0.00071156846,0.00015241798,0.00015597713,0.0007197142,0.00037291538,0.004297061],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986993,0.0007695612,0.00007093017,0.00018781069,0.00019206144,0.00008025355],"domain_scores_gemma":[0.9927286,0.0032661618,0.0017954615,0.00094265357,0.00089193595,0.00037516415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053885374,0.00051926303,0.0005501686,0.0021513125,0.00048321506,0.000881489,0.00074155146,0.0006973011,0.0020258566],"category_scores_gemma":[0.006499572,0.00023205916,0.0004823787,0.0011075094,0.0005015961,0.0020988379,0.00078655285,0.00076829916,0.0007947978],"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":[0.0005094338,0.00019951012,0.14507428,0.00060993934,0.00015152055,0.0020012036,0.002721162,0.001107795,0.18972304,0.004020773,0.0013437625,0.65253764],"study_design_scores_gemma":[0.000104841376,0.002784792,0.77031946,0.0010955574,0.0006662449,0.008944114,0.004223732,0.0068818484,0.09791271,0.018042153,0.08862923,0.0003951977],"about_ca_topic_score_codex":0.0017376879,"about_ca_topic_score_gemma":0.004799417,"teacher_disagreement_score":0.0053885374,"about_ca_system_score_codex":0.00043809132,"about_ca_system_score_gemma":0.00081475626,"threshold_uncertainty_score":0.028497696},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99174446,0.000051362127,0.0070441766,0.000042250344,0.000003585174,0.000009741471,0.00014266661,0.0000459931,0.00091586786],"genre_scores_gemma":[0.9989336,0.000019561085,0.0007169225,0.000005940671,0.0000012293477,0.000006078639,0.00005368037,0.0000060033826,0.00025702696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990416,0.000021094358,0.0000035599653,0.00003754324,0.0000061064898,0.000027514488],"domain_scores_gemma":[0.99977046,0.00012381065,0.000038282353,0.000018757093,0.000020546915,0.000028200999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023818377,0.00033177232,0.00022288975,0.00020969908,0.00023363676,0.00051831856,0.0005623201,0.0005734693,0.0007933895],"category_scores_gemma":[0.0007514016,0.00023084717,0.00043657672,0.00034573837,0.00040343308,0.0004380155,0.00032825803,0.00030530148,0.00006427086],"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":[0.00003373469,0.000025037858,0.0058550504,0.000008082268,0.000009410891,0.000031549618,0.000021335247,0.9913703,0.0013655119,0.00044215503,0.00003462283,0.00080318825],"study_design_scores_gemma":[0.000013043436,0.000023385717,0.007169575,0.0000020636846,0.000009087274,0.000011282665,0.000023554978,0.9917595,0.00045021903,0.0004412218,0.00009072921,0.0000064978385],"about_ca_topic_score_codex":0.026132673,"about_ca_topic_score_gemma":0.016018381,"teacher_disagreement_score":0.026132673,"about_ca_system_score_codex":0.00086856633,"about_ca_system_score_gemma":0.00033502802,"threshold_uncertainty_score":0.051961124},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994406,0.000103644954,0.000105054976,0.00001925613,0.0000016605513,0.00005682054,0.00002018647,0.0000018783666,0.0002508915],"genre_scores_gemma":[0.99712354,0.00038973283,0.0015595886,0.000030003497,0.0000028178674,0.00012240511,0.000041189513,0.0000019853194,0.0007286339],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999699,0.00011422581,0.000020932574,0.00006163032,0.0000598909,0.00004420814],"domain_scores_gemma":[0.99954456,0.00015683673,0.00012240531,0.000025443367,0.00006152467,0.000089220164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056820153,0.00029057276,0.00033087714,0.00020403537,0.00028840866,0.00050455856,0.0005439747,0.00031570529,0.00088981964],"category_scores_gemma":[0.00047521995,0.000103084625,0.00022302583,0.00015866103,0.00025762198,0.00033455275,0.00035219765,0.00032238886,0.000090049274],"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":[0.0046491884,0.008289671,0.01579892,0.0010397111,0.0001702487,0.0006058881,0.0010769992,0.000906341,0.92457736,0.00021657237,0.000076790326,0.04259227],"study_design_scores_gemma":[0.0007483863,0.2826428,0.16737309,0.00021444306,0.00070974015,0.00056998717,0.0040519703,0.0028203647,0.5341165,0.00042202853,0.006254383,0.0000762196],"about_ca_topic_score_codex":0.0016091159,"about_ca_topic_score_gemma":0.0059559005,"teacher_disagreement_score":0.0016091159,"about_ca_system_score_codex":0.00039664644,"about_ca_system_score_gemma":0.00058257894,"threshold_uncertainty_score":0.0031994581},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94303536,0.00041591167,0.020365002,0.0119321495,0.00015655103,0.007945805,0.00044880714,0.00009352717,0.015606784],"genre_scores_gemma":[0.96961635,0.00037669242,0.018127542,0.002284252,0.00005474712,0.00592424,0.00017583955,0.00002679841,0.0034135454],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.96862954,0.025315242,0.0011140102,0.0008148681,0.0017868577,0.0023394178],"domain_scores_gemma":[0.91550523,0.065486304,0.0036900816,0.0016173084,0.01028542,0.0034156041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07099738,0.00067972275,0.0005256254,0.001727319,0.0047779083,0.002199414,0.0015022255,0.002363406,0.005574586],"category_scores_gemma":[0.049387027,0.0004994446,0.00046314517,0.0009846616,0.0018725137,0.0039601554,0.007931009,0.0019157642,0.00063740043],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000799863,0.0007994734,0.027442,0.0022252984,0.000045381883,0.0021346582,0.8559126,0.00063344237,0.024885705,0.003520329,0.0051823095,0.07641892],"study_design_scores_gemma":[0.00013417937,0.0024550138,0.03683962,0.0012868592,0.000056862773,0.00065051107,0.88378406,0.0019047479,0.0091503,0.006306158,0.057246353,0.0001853884],"about_ca_topic_score_codex":0.0028049867,"about_ca_topic_score_gemma":0.0054619005,"teacher_disagreement_score":0.07099738,"about_ca_system_score_codex":0.004074464,"about_ca_system_score_gemma":0.004685868,"threshold_uncertainty_score":0.3754745},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992077,0.0002291241,0.00013999705,0.00003104814,0.0000048647325,0.000008529839,0.00009499253,0.000010962353,0.0002727528],"genre_scores_gemma":[0.9943763,0.00018073263,0.0006243562,0.00011421363,0.0000055475857,0.000027600137,0.0003461176,0.000020144375,0.004304963],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998957,0.00001109045,0.0000045549637,0.000041295243,0.000017016948,0.000030280751],"domain_scores_gemma":[0.99966073,0.000059198952,0.00007139116,0.000015036586,0.00007143734,0.00012228815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012883967,0.00028405094,0.00030822787,0.00027502072,0.0004973308,0.00039734872,0.00036169004,0.000286897,0.0011271789],"category_scores_gemma":[0.00012525986,0.00020417433,0.00015365673,0.00014657713,0.00020105438,0.00021988418,0.00024111551,0.00043451865,0.0001899232],"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":[0.00014708708,0.0000340728,0.0015221714,0.000023036371,0.0000044447934,0.000041249765,0.00005164321,0.000008642356,0.9976064,0.0000052865544,0.00002659318,0.0005294185],"study_design_scores_gemma":[0.000060978957,0.0015900814,0.57934105,0.000018878998,0.000052665247,0.00020887904,0.0010891029,0.0013531127,0.4137034,0.000052736716,0.002504995,0.000024027824],"about_ca_topic_score_codex":0.049636785,"about_ca_topic_score_gemma":0.119108886,"teacher_disagreement_score":0.049636785,"about_ca_system_score_codex":0.0012378944,"about_ca_system_score_gemma":0.0005634825,"threshold_uncertainty_score":0.098695755},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99788445,0.00073590357,0.00014961456,0.000064382,0.00001630792,0.000025179026,0.00024037213,0.000018160765,0.00086569216],"genre_scores_gemma":[0.99637884,0.00042093656,0.0006695328,0.00011403313,0.000008938062,0.000049380895,0.00044160557,0.000022511706,0.0018942407],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997669,0.000046759513,0.000023282444,0.000082718136,0.00003432404,0.00004613438],"domain_scores_gemma":[0.99904066,0.00034308087,0.00014656693,0.00004297393,0.00014542081,0.0002811804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028121995,0.0004532272,0.00050619163,0.00025739463,0.00048061003,0.0005210866,0.0005588636,0.0003853699,0.00129405],"category_scores_gemma":[0.00046283824,0.00026129044,0.0003618663,0.0002458219,0.00033409602,0.0005430225,0.0004921305,0.0009218872,0.00020037766],"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":[0.0033031015,0.00042498863,0.007724665,0.0002913119,0.000056458688,0.00024020206,0.00018992418,0.0001803882,0.98258317,0.000044565233,0.0001148217,0.0048464276],"study_design_scores_gemma":[0.0002114749,0.008048194,0.45619744,0.00006293171,0.00025170713,0.00040487078,0.001042077,0.0026248777,0.52677184,0.00018373554,0.0041137803,0.00008706726],"about_ca_topic_score_codex":0.007862017,"about_ca_topic_score_gemma":0.0121176755,"teacher_disagreement_score":0.007862017,"about_ca_system_score_codex":0.00079193595,"about_ca_system_score_gemma":0.0005678978,"threshold_uncertainty_score":0.01563251},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985172,0.0005337095,0.00021303869,0.00011764531,0.000018685938,0.000027172226,0.00010132514,0.00003302855,0.0004381274],"genre_scores_gemma":[0.99610245,0.000342363,0.0011084711,0.00016152677,0.000005706825,0.00002313904,0.00026900045,0.000020506663,0.0019668872],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997682,0.000038165872,0.000021835764,0.000069511414,0.000057754904,0.00004446703],"domain_scores_gemma":[0.99975556,0.000039076753,0.00006565366,0.000016826234,0.000040342566,0.00008251353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021727558,0.00022373398,0.0004839902,0.00028295763,0.00039144297,0.00038483102,0.00046267037,0.0004186999,0.0010298858],"category_scores_gemma":[0.00025408057,0.00014587745,0.00020928739,0.00015944571,0.0002462413,0.00025037074,0.00032827523,0.0005537014,0.00014720854],"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":[0.00041062088,0.000198062,0.0007772176,0.000097051074,0.000012787618,0.0001521338,0.000052102892,0.000038313035,0.9954437,0.000025613741,0.0000863849,0.002705967],"study_design_scores_gemma":[0.0003699882,0.011589295,0.12782931,0.00006501565,0.00017355144,0.0010112016,0.0004621367,0.0022592726,0.84460515,0.00012335027,0.011464635,0.000047048547],"about_ca_topic_score_codex":0.011927435,"about_ca_topic_score_gemma":0.026497686,"teacher_disagreement_score":0.011927435,"about_ca_system_score_codex":0.00068942824,"about_ca_system_score_gemma":0.00048797828,"threshold_uncertainty_score":0.023715973},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99917394,0.0002252068,0.00009785779,0.000020458618,0.0000144309415,0.000020295844,0.00010684541,0.000008568531,0.0003323703],"genre_scores_gemma":[0.9985619,0.00023880463,0.00040838117,0.00007322402,0.0000070971796,0.000025105837,0.000201935,0.000006606157,0.00047686463],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995432,0.00007189338,0.000061275314,0.00013495896,0.00010033172,0.000088379114],"domain_scores_gemma":[0.99940956,0.0000921937,0.00017625868,0.000031425356,0.00013430847,0.0001563592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041295064,0.0004322607,0.00046251802,0.0002652103,0.00037555746,0.00092285924,0.00045003812,0.0003134625,0.00060972],"category_scores_gemma":[0.00058925204,0.00020098597,0.00036344922,0.00028346552,0.0004235376,0.0004627789,0.000384413,0.00056678033,0.00009607126],"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":[0.0020041652,0.00036099626,0.018233784,0.00034499305,0.00008205126,0.00015091433,0.00015188607,0.00084747566,0.97136575,0.00006395456,0.000093469935,0.0063004484],"study_design_scores_gemma":[0.00025928204,0.010773138,0.4608356,0.000093461655,0.00029863807,0.0002561421,0.0013052574,0.00425611,0.51233095,0.0002400271,0.00926095,0.00009042629],"about_ca_topic_score_codex":0.011335964,"about_ca_topic_score_gemma":0.02258479,"teacher_disagreement_score":0.011335964,"about_ca_system_score_codex":0.0014299721,"about_ca_system_score_gemma":0.0008655154,"threshold_uncertainty_score":0.022539973},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979943,0.00052003405,0.00042977772,0.000058257578,0.000022528515,0.000021732321,0.00028317314,0.00005970473,0.00061056274],"genre_scores_gemma":[0.9947432,0.00037838682,0.00080437836,0.00013031767,0.000004107471,0.000051537045,0.00052696303,0.000022969685,0.0033380787],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999188,0.000008691666,0.000005486644,0.000029903527,0.000016895832,0.000020225578],"domain_scores_gemma":[0.99992156,0.000011782644,0.000018422921,0.0000066277184,0.000011581444,0.00003000425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008391734,0.00042919436,0.00032374685,0.0002608071,0.00018987776,0.00027881697,0.00021520432,0.00019490473,0.0015158795],"category_scores_gemma":[0.000090836606,0.0002466819,0.00022711328,0.00017473102,0.00017030137,0.00024021488,0.00035715871,0.0005012655,0.00019492628],"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":[0.00020428513,0.000027172271,0.0004316461,0.00005258819,0.000006490285,0.000036304144,0.000018415072,0.000029338455,0.99800295,0.000019790357,0.000020353944,0.0011505706],"study_design_scores_gemma":[0.000102710124,0.0031129909,0.21736746,0.000028534252,0.00010893388,0.00035114386,0.00032749536,0.0016147764,0.77084535,0.00018576777,0.0059194756,0.000035404017],"about_ca_topic_score_codex":0.0033836642,"about_ca_topic_score_gemma":0.0052912305,"teacher_disagreement_score":0.0033836642,"about_ca_system_score_codex":0.00031143424,"about_ca_system_score_gemma":0.0002578864,"threshold_uncertainty_score":0.006727934},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99978286,0.000039661227,0.000020659363,0.0000016858746,6.9025504e-7,7.821062e-7,0.000059573427,9.5185715e-7,0.0000932283],"genre_scores_gemma":[0.99905497,0.000082101506,0.00007962698,0.0000060850853,8.6980936e-7,0.0000035768144,0.00033506186,0.0000016213969,0.0004361152],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998776,0.000021822454,0.000012889807,0.000035863493,0.000022264347,0.00002952043],"domain_scores_gemma":[0.9996809,0.0000774731,0.000112909685,0.000026645046,0.000042559906,0.00005962607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023614505,0.00040687472,0.00021397932,0.00025732396,0.00019744482,0.00034306638,0.00020682871,0.00013642045,0.00043582017],"category_scores_gemma":[0.0002642696,0.00013725933,0.00029284833,0.0002691315,0.00014242466,0.00018179456,0.00026849666,0.00014557371,0.00009090602],"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":[0.002786404,0.00038587966,0.63379997,0.00025464047,0.0004432684,0.0014719454,0.0009038636,0.0034115082,0.33450612,0.000095829055,0.00023423428,0.021706337],"study_design_scores_gemma":[0.0000018696885,0.00025813963,0.99710757,0.0000031285958,0.000017223649,0.00003911064,0.000082423874,0.0003340581,0.002014492,0.000003971728,0.0001357677,0.000002430672],"about_ca_topic_score_codex":0.018552294,"about_ca_topic_score_gemma":0.05404482,"teacher_disagreement_score":0.018552294,"about_ca_system_score_codex":0.0012501488,"about_ca_system_score_gemma":0.00031442265,"threshold_uncertainty_score":0.03688866},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962759,0.0010151328,0.001189141,0.000041157753,0.000024127721,0.000022514381,0.00020654654,0.00005354766,0.0011720243],"genre_scores_gemma":[0.9930593,0.0008588491,0.003061369,0.00008544285,0.000009339444,0.000050772956,0.0003911775,0.000054525277,0.002429332],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982685,0.00004269989,0.000017817556,0.000052172254,0.00003861957,0.000021920714],"domain_scores_gemma":[0.99981266,0.000059332702,0.000034396755,0.000016455746,0.000030112858,0.000047027344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015236216,0.00044647665,0.00029741268,0.00020894484,0.00014872443,0.0003225146,0.00019927316,0.00026731403,0.0009077123],"category_scores_gemma":[0.00016545798,0.00017383049,0.00022903473,0.0001055372,0.00012988236,0.00022272088,0.00019380139,0.00056963065,0.00024264428],"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":[0.00007379774,0.000018409048,0.00016069702,0.000030811716,0.0000028111874,0.000025384554,0.000014786275,0.000026956264,0.999079,0.000006360705,0.00001015433,0.0005507244],"study_design_scores_gemma":[0.000010115245,0.0007091087,0.007299296,0.000008176074,0.000024424502,0.00008261623,0.00006778059,0.00032980094,0.9904991,0.000015093736,0.0009438822,0.000010614433],"about_ca_topic_score_codex":0.0007218011,"about_ca_topic_score_gemma":0.0011217693,"teacher_disagreement_score":0.0009077123,"about_ca_system_score_codex":0.00019180604,"about_ca_system_score_gemma":0.00013290538,"threshold_uncertainty_score":0.0030366182},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951237,0.0029538672,0.00080902124,0.0000495035,0.00003659172,0.00002622895,0.00014042058,0.00006210575,0.00079859176],"genre_scores_gemma":[0.9944354,0.00090666715,0.0016636607,0.00007048522,0.00001265869,0.000024238401,0.00024192412,0.000017130718,0.002627645],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998869,0.000018779574,0.00001029133,0.000029362458,0.000030168128,0.000024525907],"domain_scores_gemma":[0.9998653,0.000010921373,0.00003263768,0.0000105316085,0.000021352891,0.00005929515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000109902445,0.00049302494,0.00047868266,0.0003402225,0.00020402973,0.00028154,0.00022273509,0.00027123553,0.00081744656],"category_scores_gemma":[0.000093753406,0.00010642745,0.00029712275,0.0001501373,0.00012709598,0.00020660048,0.0002588528,0.00054648274,0.00018539943],"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":[0.00029886162,0.00014081218,0.00022417499,0.0000703052,0.000012175026,0.000022250439,0.000009368852,0.00003951776,0.99703974,0.000006896112,0.00002271932,0.0021132615],"study_design_scores_gemma":[0.000042821754,0.005623802,0.02882745,0.00003566884,0.00012192338,0.00013502486,0.00009913796,0.0006833334,0.9604971,0.000044215838,0.0038775865,0.0000118864555],"about_ca_topic_score_codex":0.0011446783,"about_ca_topic_score_gemma":0.0026680087,"teacher_disagreement_score":0.0011446783,"about_ca_system_score_codex":0.00018942406,"about_ca_system_score_gemma":0.00025304392,"threshold_uncertainty_score":0.002734661},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99817693,0.00017079014,0.00024877087,0.000042499247,9.601175e-7,0.000014208203,0.0003792574,0.00001103604,0.0009554828],"genre_scores_gemma":[0.9992048,0.00008872002,0.00038508204,0.0000030117938,6.504838e-7,0.000009307959,0.00019625103,0.000001574894,0.000110768335],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998729,0.000027572258,0.000012158879,0.000042461492,0.000026993821,0.000017883955],"domain_scores_gemma":[0.99968874,0.000055152,0.00014706398,0.000022499784,0.000057020647,0.000029576619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021774427,0.00013596307,0.00012259517,0.0008808534,0.0001899395,0.0003591065,0.00016862653,0.0001075983,0.00041839384],"category_scores_gemma":[0.00055978907,0.000093064074,0.00016782914,0.0010276013,0.00025195672,0.00020147771,0.00040101056,0.00009354578,0.000041450425],"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":[0.000045550674,0.000018823677,0.9773242,0.00006836877,0.00006557427,0.00023090377,0.0019512648,0.0013224499,0.0059776446,0.00045797584,0.00025209473,0.012285248],"study_design_scores_gemma":[0.000001529053,0.0000092632545,0.9975345,0.000007604964,0.000008347037,0.00006734255,0.0006255008,0.00076699705,0.000107036445,0.000056961184,0.00081106124,0.0000038548246],"about_ca_topic_score_codex":0.08633683,"about_ca_topic_score_gemma":0.17227352,"teacher_disagreement_score":0.08633683,"about_ca_system_score_codex":0.0006363289,"about_ca_system_score_gemma":0.00054604246,"threshold_uncertainty_score":0.17166859},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93836033,0.0013898312,0.05032662,0.0005092217,0.000040063624,0.0003402077,0.00021877783,0.00015035937,0.00866471],"genre_scores_gemma":[0.9672537,0.0004573618,0.030057978,0.0000322493,0.00000930569,0.0001391934,0.000119052864,0.00001886631,0.0019123915],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992269,0.00037711646,0.000036761812,0.00007723524,0.00012642545,0.00015550847],"domain_scores_gemma":[0.998099,0.0013394586,0.0001417923,0.00006161465,0.0002082972,0.0001496974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023728963,0.0013974819,0.0011581762,0.0018528133,0.0012487515,0.0019002408,0.0012925017,0.0033226206,0.0016556721],"category_scores_gemma":[0.0024758077,0.00071179174,0.0016404534,0.0016036448,0.00063849246,0.0009252702,0.000744435,0.0009891725,0.0001287369],"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":[0.00016750273,0.00033787344,0.002315377,0.00014014199,0.00007430501,0.000904435,0.000054610875,0.98424083,0.0007724085,0.001093731,0.00025803648,0.009640712],"study_design_scores_gemma":[0.000061167535,0.00029076534,0.0013760406,0.000023496948,0.0000534899,0.000107429085,0.00016130353,0.9958715,0.0010693838,0.00057483895,0.00039077268,0.000019815003],"about_ca_topic_score_codex":0.018178115,"about_ca_topic_score_gemma":0.017923128,"teacher_disagreement_score":0.018178115,"about_ca_system_score_codex":0.0023301134,"about_ca_system_score_gemma":0.0016740463,"threshold_uncertainty_score":0.036144614},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00041568684,0.99863714,0.00016097343,0.00014681085,0.00007698998,0.000002599428,0.00004730183,0.0000064344563,0.00050605804],"genre_scores_gemma":[0.0021453176,0.9970753,0.00021658138,0.00011116729,0.00013967631,0.0000045949464,0.00006839536,0.0000023212447,0.00023651813],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998318,0.000022236443,0.000024927589,0.000070961585,0.000035146764,0.000014890281],"domain_scores_gemma":[0.9992805,0.00043314853,0.0001311046,0.00001976724,0.000096164025,0.000039316987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059530884,0.00096583774,0.0015128973,0.002391953,0.00031516608,0.0017514611,0.0008648958,0.0011137181,0.0033752294],"category_scores_gemma":[0.00107329,0.00036561876,0.0006774973,0.0033094534,0.00048011,0.0016990441,0.00069783523,0.00100523,0.0011167034],"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":[0.00012949653,0.00010282828,0.0021266998,0.054838404,0.00039906116,0.00032561447,0.00032436667,0.0015174072,0.0037217792,0.008367828,0.015569654,0.9125769],"study_design_scores_gemma":[0.000013887081,0.00022564176,0.013328795,0.013609978,0.00097603153,0.0015375492,0.00030084318,0.0005005513,0.0007681736,0.0070138886,0.96162987,0.0000948732],"about_ca_topic_score_codex":0.0023516216,"about_ca_topic_score_gemma":0.0020580844,"teacher_disagreement_score":0.0033752294,"about_ca_system_score_codex":0.0006881226,"about_ca_system_score_gemma":0.0012852547,"threshold_uncertainty_score":0.0112912655},"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":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13758595,0.06060396,0.7508711,0.0023548629,0.00084225787,0.004912821,0.0012188856,0.0024106493,0.039199557],"genre_scores_gemma":[0.23065543,0.046697855,0.6877213,0.000732617,0.00030012426,0.0033243739,0.00082935597,0.00016798878,0.029570898],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99902046,0.00020197245,0.0000860052,0.00016848302,0.0004747487,0.0000484415],"domain_scores_gemma":[0.9996375,0.000068302616,0.00011434368,0.00006607098,0.00008631065,0.000027486172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010018455,0.0005761368,0.00036831023,0.0014067045,0.000528727,0.0008304323,0.00084208284,0.0004570037,0.0026926054],"category_scores_gemma":[0.0005914315,0.00019898286,0.00041611033,0.00086706097,0.00044457446,0.00069200236,0.00071873976,0.0008379263,0.0012287357],"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":[0.00015698867,0.00043019344,0.0017502487,0.0012467187,0.00003782081,0.00016922409,0.0002343469,0.0007404005,0.5960977,0.0022667104,0.0020019538,0.39486766],"study_design_scores_gemma":[0.00014458009,0.0042454815,0.023554169,0.00078476797,0.00024584695,0.0019548212,0.00052041264,0.003842946,0.6238503,0.0050159814,0.33569452,0.00014615229],"about_ca_topic_score_codex":0.0006262094,"about_ca_topic_score_gemma":0.001572347,"teacher_disagreement_score":0.0026926054,"about_ca_system_score_codex":0.00049582863,"about_ca_system_score_gemma":0.00074528926,"threshold_uncertainty_score":0.009007692},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986319,0.00073824055,0.00016661464,0.000007311899,0.000004233845,0.000005012935,0.00017121068,0.000006539422,0.00026876872],"genre_scores_gemma":[0.9963947,0.00093734317,0.00072106137,0.000032226748,0.000010621458,0.000017932816,0.0010115012,0.000013746551,0.0008610844],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999243,0.000011292,0.0000060164753,0.000024428593,0.000015029281,0.00001901884],"domain_scores_gemma":[0.999848,0.000022617247,0.000048712893,0.000010476731,0.00003309371,0.000036954032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009208693,0.00055390864,0.0004281597,0.0011908851,0.00026506826,0.00045217405,0.00010631607,0.00025814396,0.000630162],"category_scores_gemma":[0.00011753684,0.00014604726,0.0002343556,0.0005766884,0.00020121317,0.00026249146,0.00022084922,0.00030486693,0.00011288453],"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":[0.00034385637,0.000027527693,0.0039015866,0.000086705564,0.0000107074075,0.00006822676,0.000089580404,0.00001633605,0.9937943,0.00001135329,0.0000057321254,0.0016441927],"study_design_scores_gemma":[0.000023080627,0.0015369738,0.6572647,0.000060017683,0.00018729601,0.00067672296,0.0010213447,0.00033614595,0.33651677,0.00009820542,0.0022430469,0.00003577332],"about_ca_topic_score_codex":0.00085132103,"about_ca_topic_score_gemma":0.0012714706,"teacher_disagreement_score":0.0011908851,"about_ca_system_score_codex":0.00014019215,"about_ca_system_score_gemma":0.0001267918,"threshold_uncertainty_score":0.0021081567},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995178,0.000017371562,0.00023866717,0.0000042256797,1.3527811e-7,0.0000033954682,0.000035747584,0.000001910401,0.00018076845],"genre_scores_gemma":[0.9993974,0.000025793453,0.0003406667,0.0000023504913,3.8099174e-7,0.0000037108744,0.00009498792,8.315801e-7,0.00013392161],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971944,0.00005456106,0.000024093832,0.000059305334,0.000103984195,0.000038598446],"domain_scores_gemma":[0.9995192,0.000053268646,0.00025078375,0.00002361369,0.000101720616,0.000051320967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038405255,0.00027096207,0.0001704271,0.0013133793,0.0002682055,0.00045974637,0.00021498058,0.00021170886,0.00024762496],"category_scores_gemma":[0.00044624836,0.000100368474,0.000294083,0.00070779846,0.00021060216,0.00023343993,0.0005464299,0.00011773337,0.0000424962],"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":[0.0001807148,0.00007656793,0.9572792,0.000035628793,0.00009497814,0.000438591,0.00034330814,0.0043073264,0.029017836,0.00014764586,0.000041483258,0.008036684],"study_design_scores_gemma":[0.0000037522695,0.00015510031,0.99033874,0.000003402421,0.000027500131,0.00022405933,0.00036854894,0.004777269,0.0036763183,0.00021899429,0.00019886065,0.000007397016],"about_ca_topic_score_codex":0.008095744,"about_ca_topic_score_gemma":0.016610071,"teacher_disagreement_score":0.008095744,"about_ca_system_score_codex":0.0007872326,"about_ca_system_score_gemma":0.00032172995,"threshold_uncertainty_score":0.016097248},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946359,0.00020181105,0.0017948883,0.00016842596,0.000020261938,0.000024324947,0.0010790182,0.000054135042,0.002021204],"genre_scores_gemma":[0.9980374,0.00014501442,0.0008045599,0.000011700234,0.0000050275353,0.000023243098,0.0006078598,0.00000809103,0.00035705674],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999008,0.000021538706,0.000006263854,0.000023377725,0.000016320251,0.000031619897],"domain_scores_gemma":[0.9998468,0.0000562388,0.000022722312,0.000008317935,0.000051193165,0.000014572752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003220912,0.00043396896,0.00025925192,0.00045816787,0.00023926629,0.0005232148,0.00059689715,0.0006077074,0.0008767546],"category_scores_gemma":[0.0005354252,0.00022436546,0.0007366774,0.0008244649,0.0001842513,0.00043362036,0.0002408692,0.00034486374,0.00008595441],"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":[0.000068563284,0.00008138125,0.046314385,0.00008924737,0.00009888727,0.00023755987,0.000076407894,0.9439906,0.002798476,0.0005668785,0.0008820092,0.004795556],"study_design_scores_gemma":[0.00004192009,0.000056899862,0.04759001,0.000012804674,0.00007211093,0.000034588844,0.00018328741,0.9496268,0.0007763846,0.00042075154,0.001164154,0.000020294618],"about_ca_topic_score_codex":0.17337576,"about_ca_topic_score_gemma":0.1338325,"teacher_disagreement_score":0.17337576,"about_ca_system_score_codex":0.0017951526,"about_ca_system_score_gemma":0.001660193,"threshold_uncertainty_score":0.34473318},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68268263,0.1745977,0.004315682,0.018337749,0.0002468315,0.00035396183,0.002477859,0.00029154896,0.116696045],"genre_scores_gemma":[0.9392343,0.028897215,0.004462981,0.0011874567,0.000038479393,0.00006425969,0.00071395474,0.000019625199,0.02538163],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995914,0.00006278675,0.000010841156,0.00006188116,0.00015557128,0.00011741703],"domain_scores_gemma":[0.99930596,0.00004526366,0.000083463594,0.000016903636,0.00037819622,0.00017009824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005881792,0.00022120391,0.00012700452,0.00086987286,0.0018966348,0.0016063321,0.0007985347,0.0003691037,0.0026390261],"category_scores_gemma":[0.0005292335,0.00007869157,0.00014312401,0.0013886873,0.00067009724,0.000428616,0.00038207733,0.00033224298,0.00016644776],"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":[0.00022001137,0.0003519024,0.17861433,0.0016037667,0.00017848611,0.0018505774,0.005257867,0.0046521625,0.027370488,0.02691552,0.05272538,0.7002595],"study_design_scores_gemma":[0.000024522386,0.00023744759,0.5393643,0.00067707413,0.00006814978,0.00033979304,0.0049162502,0.0026365498,0.0027824298,0.0013753098,0.44750988,0.00006831675],"about_ca_topic_score_codex":0.98316264,"about_ca_topic_score_gemma":0.99350065,"teacher_disagreement_score":0.03659704,"about_ca_system_score_codex":0.03659704,"about_ca_system_score_gemma":0.03144058,"threshold_uncertainty_score":0.26553136},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99972504,0.0000055950763,0.00011104574,0.0000034954876,5.1778505e-7,0.000006761029,0.000015571402,0.00000219164,0.00012992321],"genre_scores_gemma":[0.9990422,0.000015787706,0.0005418881,0.0000028677389,8.815917e-7,0.000010878478,0.000076602795,9.5289164e-7,0.00030795002],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997391,0.00009408997,0.000010963801,0.000057690522,0.000052035062,0.000046064517],"domain_scores_gemma":[0.9991448,0.00028980715,0.00014237795,0.000049350518,0.00015943812,0.00021425566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007577163,0.00028146728,0.00023165683,0.0002939216,0.00023990864,0.0003289171,0.00037809214,0.00021269724,0.0007968146],"category_scores_gemma":[0.0010010531,0.000063247535,0.00018478298,0.00028978597,0.00016317972,0.000286754,0.0002925539,0.0001545236,0.000119690194],"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":[0.0032036973,0.0050065727,0.62609625,0.00031122952,0.00036332326,0.0011489097,0.0019021743,0.06472168,0.17848182,0.00031849346,0.00035888332,0.118086986],"study_design_scores_gemma":[0.000037960304,0.008593863,0.9104017,0.000018766299,0.00009120074,0.00008201373,0.0014702155,0.06314444,0.015265505,0.00012238412,0.00075297034,0.000018971961],"about_ca_topic_score_codex":0.0068458687,"about_ca_topic_score_gemma":0.023039933,"teacher_disagreement_score":0.0068458687,"about_ca_system_score_codex":0.000923123,"about_ca_system_score_gemma":0.00036717136,"threshold_uncertainty_score":0.013612032},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983309,0.00013410991,0.00082733,0.000008065018,0.0000016326678,0.00001014752,0.00024920274,0.0000123091695,0.00042631506],"genre_scores_gemma":[0.9980716,0.0000688776,0.0013336275,0.000004963781,0.0000025552088,0.000008161927,0.0003344956,0.0000034753389,0.00017239669],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979883,0.000029154126,0.000027672368,0.0000403644,0.00007293535,0.000031123265],"domain_scores_gemma":[0.9996203,0.000058754045,0.00013744646,0.000024227607,0.000120272736,0.000039092414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006522238,0.00035834732,0.0002740363,0.0031539777,0.00030756884,0.0006509589,0.00019419038,0.00021456956,0.0004868662],"category_scores_gemma":[0.00063438626,0.00009877318,0.00036197098,0.0016747788,0.00017483832,0.00037104305,0.00034961422,0.000111571135,0.00014169898],"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":[0.0001770877,0.000068268506,0.9458028,0.00007892896,0.00017414514,0.00016589319,0.00030245917,0.0019852296,0.018539177,0.00009808919,0.0001327919,0.03247506],"study_design_scores_gemma":[0.0000023170212,0.00004909278,0.99345475,0.0000056205577,0.000028683944,0.000051961164,0.00032809476,0.0042668623,0.0014682055,0.00005208068,0.00028606594,0.0000062376685],"about_ca_topic_score_codex":0.016528828,"about_ca_topic_score_gemma":0.027088996,"teacher_disagreement_score":0.016528828,"about_ca_system_score_codex":0.0005929207,"about_ca_system_score_gemma":0.00034038813,"threshold_uncertainty_score":0.032865226},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24117169,0.0022245876,0.7325237,0.0017612802,0.00029184035,0.0007330886,0.0064255754,0.00312135,0.011746936],"genre_scores_gemma":[0.7681332,0.00069690205,0.22506666,0.0003625728,0.00015487855,0.0003303266,0.0039829514,0.0001185551,0.0011540796],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979254,0.00061066524,0.000192879,0.00056070427,0.000618163,0.00009228736],"domain_scores_gemma":[0.98999524,0.0034207248,0.0025335078,0.001152204,0.0025664452,0.00033191926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004634733,0.0014604528,0.00094893004,0.0034747778,0.00037806804,0.002641011,0.0012710292,0.00085016666,0.0008642389],"category_scores_gemma":[0.011907143,0.000349172,0.00088423304,0.0027511795,0.00055034534,0.0026638033,0.0015518352,0.0011878245,0.00043074347],"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":[0.00074885425,0.0011927976,0.37605444,0.0009979958,0.00076393364,0.00029196896,0.00051848945,0.11584856,0.023656247,0.0066195186,0.0058276993,0.46747953],"study_design_scores_gemma":[0.00004963981,0.0016033521,0.13247068,0.00035280237,0.00034557495,0.0004882496,0.0006496168,0.8137488,0.022690766,0.012875466,0.014446968,0.0002782411],"about_ca_topic_score_codex":0.0036246015,"about_ca_topic_score_gemma":0.005895843,"teacher_disagreement_score":0.004634733,"about_ca_system_score_codex":0.0011233338,"about_ca_system_score_gemma":0.0013525655,"threshold_uncertainty_score":0.024511158},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99922955,0.000112344445,0.00013759834,0.0000059408726,0.0000014748608,0.000016224469,0.00020051605,0.0000023053935,0.00029406676],"genre_scores_gemma":[0.99735105,0.00033246298,0.0008720196,0.000019050718,0.0000050638396,0.000024188083,0.0006711996,0.0000032478374,0.0007216767],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997534,0.000035329973,0.000024302715,0.000060216837,0.00008725235,0.000039459694],"domain_scores_gemma":[0.999655,0.00010295643,0.00008682858,0.000023221786,0.000091825386,0.000040021307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015117435,0.0003533943,0.00027954282,0.0011319807,0.0005009739,0.0004306041,0.00018560815,0.0003640599,0.0009108151],"category_scores_gemma":[0.0005060488,0.00026206762,0.0001477646,0.0010632819,0.0004490228,0.00025034044,0.00029315028,0.00015416392,0.00021495763],"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":[0.0003910456,0.0002705944,0.54789686,0.000559381,0.00007710477,0.0045370026,0.0037168877,0.00019521976,0.43095976,0.00009152366,0.00011064673,0.011193855],"study_design_scores_gemma":[0.000015832053,0.00087988155,0.946137,0.00004654249,0.00007781922,0.00643605,0.0032369853,0.00025437365,0.041057043,0.000073011586,0.0017591164,0.000026192938],"about_ca_topic_score_codex":0.0020556208,"about_ca_topic_score_gemma":0.0054532145,"teacher_disagreement_score":0.0020556208,"about_ca_system_score_codex":0.00015331076,"about_ca_system_score_gemma":0.00018993768,"threshold_uncertainty_score":0.0040873885},"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":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037383836,0.5398663,0.08123834,0.24643004,0.0030915919,0.000705859,0.00615113,0.0014442755,0.08368864],"genre_scores_gemma":[0.15633582,0.57510227,0.23321964,0.013195508,0.00095344195,0.0003090706,0.003694344,0.00045691227,0.016732996],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9934395,0.0009794314,0.00040033963,0.00061823474,0.003855108,0.00070744415],"domain_scores_gemma":[0.9673458,0.005524304,0.0011091349,0.00056309917,0.024103317,0.0013543172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014435412,0.0014459939,0.0012186291,0.006089643,0.0051050563,0.007932991,0.004231005,0.0021597268,0.006397544],"category_scores_gemma":[0.017581495,0.0005964763,0.0018303094,0.008169494,0.004658874,0.0053796694,0.0029677842,0.002634924,0.0011094882],"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":[0.000094820076,0.000095720556,0.04095745,0.00805381,0.00019260112,0.00040364862,0.0032762117,0.006847511,0.0023694874,0.026483966,0.07409789,0.83712685],"study_design_scores_gemma":[0.000028603723,0.00015593848,0.0646337,0.010749227,0.0005598268,0.0006133458,0.01669317,0.019318854,0.0044156667,0.028400185,0.8538225,0.00060899154],"about_ca_topic_score_codex":0.96549445,"about_ca_topic_score_gemma":0.9826903,"teacher_disagreement_score":0.039673995,"about_ca_system_score_codex":0.039673995,"about_ca_system_score_gemma":0.124476634,"threshold_uncertainty_score":0.28785634},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935521,0.0014526389,0.003729195,0.00003949522,0.000011749892,0.00003956036,0.00023598644,0.000019371464,0.0009198787],"genre_scores_gemma":[0.99302775,0.0008332064,0.004326893,0.000042495347,0.0000067694536,0.000034879296,0.00024193096,0.000015235369,0.0014707914],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998338,0.000024972322,0.000015352098,0.000028233086,0.000070133596,0.00002754474],"domain_scores_gemma":[0.99983585,0.000032351436,0.000049605744,0.000011247561,0.000051665313,0.000019306099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020797749,0.0003172743,0.0001585665,0.00029970863,0.00013299716,0.000203992,0.000110896006,0.00022974075,0.00074516603],"category_scores_gemma":[0.00036512414,0.0001242699,0.00023718212,0.00029624195,0.00016738391,0.00016656461,0.000109386485,0.00029224527,0.00011878796],"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":[0.000030124145,0.0000074324444,0.00006667959,0.000034102202,0.0000028623324,0.000024869194,0.0000054101947,0.000050646624,0.99880147,0.000009268537,0.0000042653596,0.0009628545],"study_design_scores_gemma":[0.0000036785168,0.00019370894,0.0045163156,0.000005342689,0.000013457445,0.00007828228,0.0000139691265,0.000406499,0.994293,0.000008061183,0.0004609463,0.0000067609126],"about_ca_topic_score_codex":0.0015075858,"about_ca_topic_score_gemma":0.0022418322,"teacher_disagreement_score":0.0015075858,"about_ca_system_score_codex":0.00017679603,"about_ca_system_score_gemma":0.00019038064,"threshold_uncertainty_score":0.0029976368},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986135,0.0006030026,0.00021614609,0.000013035425,0.000009659909,0.00002023276,0.00023640184,0.000004884831,0.00028308682],"genre_scores_gemma":[0.99656457,0.0011467985,0.0010867128,0.00004757152,0.0000052613127,0.000025961406,0.00044912464,0.000005348393,0.0006687032],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997917,0.00002499059,0.000023777813,0.000062840896,0.000057772122,0.000038870687],"domain_scores_gemma":[0.9996822,0.00006667337,0.00009860962,0.00002010726,0.000084262145,0.00004824046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025238973,0.0003723648,0.0003942004,0.00028188192,0.00021922792,0.0006177665,0.00020978166,0.00023538055,0.0003069604],"category_scores_gemma":[0.00034646245,0.00013089417,0.00027892544,0.00036419506,0.00022073071,0.00023213925,0.00017207944,0.00034328445,0.000064701075],"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":[0.00033512712,0.00008453976,0.007931026,0.00021754688,0.000039105165,0.00005842711,0.00003452036,0.00019761868,0.98708725,0.000014732521,0.000021346685,0.0039788415],"study_design_scores_gemma":[0.00004082019,0.00326928,0.3534549,0.000051639563,0.00017373855,0.00017253897,0.00042400326,0.00094278535,0.6384571,0.000057121968,0.0029260034,0.000030034866],"about_ca_topic_score_codex":0.009976267,"about_ca_topic_score_gemma":0.024855645,"teacher_disagreement_score":0.009976267,"about_ca_system_score_codex":0.00063796417,"about_ca_system_score_gemma":0.00054029963,"threshold_uncertainty_score":0.019836426},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992792,0.0001786329,0.00022336908,0.000013599638,0.000007682602,0.0000095512905,0.000060315262,0.000017120088,0.00021061633],"genre_scores_gemma":[0.997563,0.00016030941,0.00093787635,0.00004690878,0.000004245328,0.00001624772,0.00020515718,0.000018620645,0.0010475202],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978966,0.00003689233,0.000011360946,0.00007759622,0.00003462879,0.00004987787],"domain_scores_gemma":[0.99944955,0.00005938536,0.00009094876,0.000030066461,0.000035923942,0.000334046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022242864,0.0006447407,0.0004452095,0.00038557625,0.00027990845,0.0004127389,0.0004454884,0.00029582708,0.0010894383],"category_scores_gemma":[0.00022553437,0.00024380822,0.00042486476,0.00029211745,0.00024203524,0.00042647103,0.0005947417,0.00079690496,0.00022467673],"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":[0.0024681427,0.000544369,0.0010723055,0.00007440901,0.00006194462,0.00005242077,0.000057781534,0.00012075252,0.9929945,0.00003814696,0.000032404747,0.002482931],"study_design_scores_gemma":[0.00046802097,0.032264266,0.18528874,0.00005480524,0.00070738536,0.0003800463,0.00071776356,0.0059172194,0.7685004,0.0002443579,0.0053578736,0.00009914184],"about_ca_topic_score_codex":0.0033353725,"about_ca_topic_score_gemma":0.0057388376,"teacher_disagreement_score":0.0033353725,"about_ca_system_score_codex":0.00056153117,"about_ca_system_score_gemma":0.00032695653,"threshold_uncertainty_score":0.0066319704},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99842,0.00038145404,0.0004766916,0.000027638078,0.000019039519,0.00003875455,0.00013048876,0.00003386301,0.00047211087],"genre_scores_gemma":[0.9941942,0.0001941791,0.0030849534,0.000046531564,0.000014473461,0.000051344403,0.00050172064,0.000026719965,0.0018858968],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993493,0.000113393784,0.000058759462,0.00027355843,0.000113017006,0.00009194309],"domain_scores_gemma":[0.9987049,0.00031579594,0.00024644152,0.00013320806,0.00019444588,0.00040518734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005287255,0.0006461448,0.00056576834,0.00030391826,0.00034415463,0.0007345701,0.0005823103,0.0007852861,0.00094164966],"category_scores_gemma":[0.0007597075,0.00019898781,0.00035088105,0.00016537218,0.0002630805,0.0004104536,0.00056914304,0.0007630516,0.00034994917],"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":[0.00036620515,0.0002587585,0.0014695451,0.00006045005,0.000014861693,0.00003667142,0.00004351646,0.000053566604,0.9956441,0.000015658754,0.000026184296,0.002010485],"study_design_scores_gemma":[0.00005750538,0.011990497,0.05994963,0.00003308422,0.00011422348,0.00021072764,0.0001924989,0.0015361093,0.92426145,0.00003956869,0.0015797317,0.000034974437],"about_ca_topic_score_codex":0.0024891687,"about_ca_topic_score_gemma":0.003176179,"teacher_disagreement_score":0.0024891687,"about_ca_system_score_codex":0.00079026166,"about_ca_system_score_gemma":0.00042071758,"threshold_uncertainty_score":0.0057338476},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990761,0.00006873407,0.0000473335,0.00005710904,0.0000011802634,0.00000495443,0.00012988271,5.803704e-7,0.0006141259],"genre_scores_gemma":[0.9994796,0.00021817774,0.00004900063,0.000017455026,0.000002051837,0.0000037715206,0.000104312305,3.5374867e-7,0.0001253884],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996916,0.00007128343,0.00002193546,0.000058409325,0.00006462155,0.000092256305],"domain_scores_gemma":[0.99810827,0.0006396508,0.0007888885,0.00006468172,0.00019350804,0.00020506466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044162743,0.00018610257,0.00018871197,0.000696926,0.0009954367,0.00071023265,0.00023380856,0.00028145977,0.0021582218],"category_scores_gemma":[0.0016925241,0.00017042401,0.00021949876,0.0015933083,0.00080649427,0.000616534,0.000571633,0.00028662634,0.000242885],"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":[0.000047521833,0.00005705813,0.9907945,0.000047176076,0.000021741522,0.00047316815,0.0032934116,0.000059243313,0.00028670373,0.000102343256,0.000114462804,0.004702639],"study_design_scores_gemma":[0.0000033944834,0.000050599443,0.9926081,0.000018146548,0.000011528797,0.00013881121,0.0064857434,0.00006870389,0.000056200777,0.0000492649,0.00050467445,0.0000048039105],"about_ca_topic_score_codex":0.05844734,"about_ca_topic_score_gemma":0.06622592,"teacher_disagreement_score":0.05844734,"about_ca_system_score_codex":0.0004762139,"about_ca_system_score_gemma":0.0008902967,"threshold_uncertainty_score":0.116214275},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69360924,0.20547253,0.047085743,0.002526489,0.0007323097,0.0004990615,0.0011121988,0.0006724428,0.048289932],"genre_scores_gemma":[0.955753,0.029240975,0.005378213,0.00029944212,0.000059870665,0.00014954302,0.00016794312,0.0000175145,0.008933627],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99993634,0.000008116862,0.0000035954074,0.000014091942,0.000019411358,0.000018433124],"domain_scores_gemma":[0.99996877,0.000005087047,0.000011197124,0.0000018103136,0.0000066260595,0.000006422436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009202495,0.00057561154,0.00016897082,0.00022976047,0.000151547,0.00027770802,0.00032856734,0.00047034668,0.0007937136],"category_scores_gemma":[0.00005877201,0.000147306,0.00034538077,0.00013022117,0.00018931428,0.00029990356,0.00019344267,0.0004838659,0.00017019098],"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":[0.000048443577,0.0000315493,0.00007755494,0.0005562448,0.00001358896,0.0001788904,0.000015934735,0.0001795671,0.9919051,0.0012584664,0.000263524,0.005471116],"study_design_scores_gemma":[0.000017869874,0.00028891664,0.0017657381,0.00004395249,0.0000389017,0.00041854073,0.000022502298,0.001999348,0.9846897,0.0003524389,0.0103452355,0.000016916518],"about_ca_topic_score_codex":0.00080688746,"about_ca_topic_score_gemma":0.0006685357,"teacher_disagreement_score":0.00080688746,"about_ca_system_score_codex":0.00038624747,"about_ca_system_score_gemma":0.00018550642,"threshold_uncertainty_score":0.0028024912},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89261067,0.0009926136,0.101231046,0.00047314406,0.00013252151,0.00012151258,0.0018335248,0.0011715527,0.0014334617],"genre_scores_gemma":[0.9782145,0.00019168569,0.018778482,0.00005246025,0.000034561235,0.000073496645,0.0017591871,0.000020709576,0.00087498483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952424,0.0002318933,0.00004063294,0.00008123671,0.00004623575,0.00007577121],"domain_scores_gemma":[0.99737453,0.0019976157,0.00017263745,0.000052942378,0.00026439875,0.00013783193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018987048,0.0010890762,0.0010141148,0.0014266499,0.0003872651,0.00077635184,0.0005638352,0.0006389314,0.0013443532],"category_scores_gemma":[0.0027033442,0.0005273882,0.0010423756,0.00067688036,0.00017217315,0.00047724706,0.00041296912,0.0010025258,0.00031612994],"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":[0.00028971938,0.00013432866,0.0110014435,0.000047043788,0.00013230777,0.00008267056,0.00004191698,0.95484865,0.00061566837,0.00021810514,0.0008765003,0.031711537],"study_design_scores_gemma":[0.000007900064,0.00003025982,0.0012912002,0.000005148972,0.000011665076,0.000004787484,0.000010953133,0.9982406,0.000116043106,0.00021140891,0.00006624288,0.0000037398956],"about_ca_topic_score_codex":0.024742162,"about_ca_topic_score_gemma":0.014085138,"teacher_disagreement_score":0.024742162,"about_ca_system_score_codex":0.00073457917,"about_ca_system_score_gemma":0.0009566383,"threshold_uncertainty_score":0.049196303},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950376,0.00011782636,0.004218042,0.0000488038,0.0000029928726,0.000013014575,0.000058239068,0.000025305222,0.00047811787],"genre_scores_gemma":[0.99903345,0.000038117898,0.0007653439,0.0000045723655,0.0000016827901,0.00000564971,0.00003491416,0.0000049757537,0.0001112926],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99985504,0.00005862381,0.0000061620385,0.000033553184,0.000016607513,0.00003005125],"domain_scores_gemma":[0.9975852,0.0021147525,0.0001270343,0.00007339824,0.00006968392,0.00002993126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010005687,0.0004779741,0.0003540051,0.00062695413,0.0002920868,0.00057300896,0.00038473067,0.0005223169,0.0005443123],"category_scores_gemma":[0.002934995,0.00020880882,0.00062424387,0.000474614,0.00054033333,0.0004899921,0.00030679072,0.0003582672,0.000062689214],"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":[0.00034216934,0.00038030292,0.40236732,0.00014003777,0.00025155625,0.0023151196,0.0002667922,0.534139,0.041535158,0.0036417642,0.0002444812,0.014376304],"study_design_scores_gemma":[0.000012693605,0.0001474483,0.10094282,0.000008149911,0.000053877462,0.00019563144,0.0001914674,0.89187485,0.004753355,0.0014820273,0.00029653465,0.000041220814],"about_ca_topic_score_codex":0.016598718,"about_ca_topic_score_gemma":0.013095333,"teacher_disagreement_score":0.016598718,"about_ca_system_score_codex":0.0005614097,"about_ca_system_score_gemma":0.00043566816,"threshold_uncertainty_score":0.033004224},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992207,0.000081888975,0.000290269,0.00001135225,0.0000021286594,0.000004584082,0.00007996478,0.000014995292,0.00029413123],"genre_scores_gemma":[0.9965283,0.00013452045,0.0007783506,0.000028775925,0.0000019105978,0.000022415865,0.00040885422,0.000012516779,0.0020842517],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999236,0.000009202836,0.0000074555974,0.000027905522,0.000016274134,0.00001545947],"domain_scores_gemma":[0.9997718,0.00003765289,0.000053337677,0.000023009155,0.00004799761,0.00006610317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010036924,0.0004546777,0.00022164831,0.00034734895,0.00023954362,0.00024108424,0.00027707938,0.0002778476,0.0005728801],"category_scores_gemma":[0.0001563202,0.00020143087,0.00027393576,0.00020243302,0.00017149663,0.0002006767,0.00034088807,0.00042253305,0.00017545508],"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":[0.000080162565,0.000019274019,0.0016801009,0.000016341617,0.000004883992,0.00006273398,0.000068223,0.00004627214,0.9970688,0.000012361585,0.0000062736403,0.0009346734],"study_design_scores_gemma":[0.000032743672,0.0015369749,0.49066427,0.000012608938,0.00007648121,0.00087962736,0.00076488784,0.003281925,0.49972543,0.00012824936,0.0028478096,0.000048978734],"about_ca_topic_score_codex":0.0029281557,"about_ca_topic_score_gemma":0.0032059893,"teacher_disagreement_score":0.0029281557,"about_ca_system_score_codex":0.0003029168,"about_ca_system_score_gemma":0.00014471839,"threshold_uncertainty_score":0.0058222413},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7859559,0.038162816,0.0029350317,0.0024929184,0.00034044008,0.00020620074,0.13517651,0.00060224027,0.034127977],"genre_scores_gemma":[0.9135838,0.011726161,0.0030078904,0.00015697563,0.00028009378,0.00025004527,0.068736315,0.00004104811,0.0022176278],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9890815,0.0017375877,0.0020388784,0.0009041194,0.0057364195,0.000501528],"domain_scores_gemma":[0.9701905,0.011095523,0.008855175,0.0011910095,0.008061503,0.0006062383],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0058887154,0.00041224816,0.0008793875,0.08624006,0.0006228553,0.0028831845,0.0005448548,0.00055679504,0.0017449055],"category_scores_gemma":[0.029842407,0.00015296672,0.0012193477,0.1599178,0.000482289,0.0022288668,0.001313072,0.00035676005,0.0006090219],"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":[0.0002949952,0.00008483709,0.76421547,0.0052894675,0.0014499943,0.00047836947,0.0016855394,0.0048075677,0.0015575659,0.006135237,0.018844984,0.195156],"study_design_scores_gemma":[0.000013527967,0.000097360404,0.9532155,0.00046767772,0.0003943642,0.00049514003,0.0014626111,0.003437738,0.0008569902,0.0014637897,0.03805245,0.00004295609],"about_ca_topic_score_codex":0.011070135,"about_ca_topic_score_gemma":0.011048663,"teacher_disagreement_score":0.91375995,"about_ca_system_score_codex":0.0030275197,"about_ca_system_score_gemma":0.0028050493,"threshold_uncertainty_score":0.03114289},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00019781018,0.9989272,0.00018905607,0.00008333375,0.000051003364,0.000006106641,0.000041335108,0.0000064928217,0.0004977372],"genre_scores_gemma":[0.0010886164,0.9982237,0.00032844246,0.00004762433,0.000039164614,0.0000066067732,0.00003823304,0.000001969513,0.00022550172],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99969697,0.000040521114,0.000051917625,0.000079577156,0.000110755376,0.00002033393],"domain_scores_gemma":[0.9987802,0.0007184094,0.00017600796,0.000029789568,0.00025548707,0.00004007187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097307406,0.0012671425,0.0018141294,0.0042644423,0.00031633375,0.0012549225,0.0009976722,0.001277205,0.0032170408],"category_scores_gemma":[0.0015519409,0.0005014531,0.00099023,0.004547245,0.00046856786,0.0017087465,0.0006193276,0.00079819735,0.0012880382],"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":[0.00006754478,0.00011536673,0.00055778364,0.10325829,0.0002843812,0.0001538768,0.0001229861,0.0009666869,0.0034287863,0.0037732485,0.0116018085,0.8756691],"study_design_scores_gemma":[0.00001201938,0.00023479015,0.003427131,0.02243152,0.0010315946,0.0009230065,0.00019705729,0.00032656066,0.002255296,0.002830386,0.96626776,0.00006290693],"about_ca_topic_score_codex":0.0027283656,"about_ca_topic_score_gemma":0.0037357006,"teacher_disagreement_score":0.0042644423,"about_ca_system_score_codex":0.00063709775,"about_ca_system_score_gemma":0.0016927004,"threshold_uncertainty_score":0.010762095},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99987245,0.000018503062,0.000047673562,0.0000031886705,0.0000015915422,0.0000067103633,0.000013960986,0.0000028055724,0.000033138924],"genre_scores_gemma":[0.99927217,0.00003740244,0.0003807822,0.000012236722,0.0000019485506,0.000018404635,0.00006518343,0.0000014628123,0.00021048675],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997967,0.0000310665,0.00001533644,0.000074470096,0.000033309087,0.000049204413],"domain_scores_gemma":[0.9997037,0.000028971233,0.000082945066,0.000020752053,0.00002474449,0.00013879959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029046752,0.0003949066,0.00040677623,0.00037792136,0.0003492361,0.00027367548,0.0003068071,0.0001940512,0.00045110137],"category_scores_gemma":[0.00023656194,0.00015752696,0.00024196277,0.00018070199,0.00028448267,0.00030000138,0.00028526082,0.00019634266,0.000060000137],"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":[0.005711327,0.0023779273,0.06780111,0.00016709448,0.00020895577,0.0003685161,0.00034690552,0.0016194418,0.90667766,0.000101093756,0.00010644088,0.014513641],"study_design_scores_gemma":[0.00037395125,0.010709741,0.93180305,0.00001256597,0.00024506976,0.00016576872,0.00043606694,0.009482769,0.045825817,0.000121401885,0.0007781381,0.000045671386],"about_ca_topic_score_codex":0.008315892,"about_ca_topic_score_gemma":0.019811992,"teacher_disagreement_score":0.008315892,"about_ca_system_score_codex":0.0011147902,"about_ca_system_score_gemma":0.00071121845,"threshold_uncertainty_score":0.016534984},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997408,0.000044803404,0.000039459534,0.000008704766,6.727609e-7,0.0000018799864,0.000026540507,0.0000031916545,0.0001338431],"genre_scores_gemma":[0.9994042,0.00008417125,0.00014800817,0.000011536659,7.5807566e-7,0.000004437246,0.000080894,0.0000015473315,0.00026450487],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999019,0.000014014208,0.000008539959,0.000029512028,0.000014588991,0.00003146972],"domain_scores_gemma":[0.9998765,0.000018481112,0.000035982226,0.000012835917,0.000022747594,0.00003337815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000967205,0.00021437675,0.00023836279,0.00021283906,0.00024113414,0.00037263913,0.00028697035,0.00017695678,0.00026111063],"category_scores_gemma":[0.00009027299,0.00014807802,0.00024210676,0.00031030003,0.00031029145,0.00020287531,0.00025582392,0.00023617971,0.0000641774],"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":[0.0011728988,0.0002842846,0.12156965,0.00024939745,0.00013164575,0.00093078247,0.0009559396,0.0013757688,0.86128,0.00016622548,0.000114780865,0.01176868],"study_design_scores_gemma":[0.000024007608,0.0012892702,0.9363028,0.00001146653,0.00011389885,0.00039729214,0.0017500037,0.0014935912,0.057498116,0.00009320486,0.0010010723,0.000025295543],"about_ca_topic_score_codex":0.018071646,"about_ca_topic_score_gemma":0.03138549,"teacher_disagreement_score":0.018071646,"about_ca_system_score_codex":0.0006125511,"about_ca_system_score_gemma":0.00067092635,"threshold_uncertainty_score":0.0359329},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99939406,0.000100312835,0.00028290204,0.000005869978,0.000001626239,0.0000025156357,0.00005057972,0.0000070737215,0.00015495428],"genre_scores_gemma":[0.99865985,0.000049196242,0.000677441,0.0000076227484,0.0000028140093,0.0000068044337,0.00012075729,0.000005893095,0.0004695536],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99994993,0.000005448276,0.0000036400106,0.000020805423,0.000008849965,0.000011353343],"domain_scores_gemma":[0.9998344,0.00001805871,0.000071591414,0.000033523163,0.000013619242,0.000028696477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008767163,0.00014800575,0.00014774925,0.00013217676,0.00027957986,0.00023664699,0.00017279104,0.00011788772,0.0006983708],"category_scores_gemma":[0.00014615076,0.00011991249,0.00017387493,0.00006262283,0.00016670475,0.00014977583,0.000240475,0.00016585222,0.00017748348],"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":[0.00014073032,0.00002719905,0.030791437,0.000020204718,0.000010320327,0.00007058107,0.00014013449,0.000052270832,0.9641836,0.000024409339,0.00004564146,0.0044934927],"study_design_scores_gemma":[0.0000090425165,0.0006352081,0.82199734,0.0000096503145,0.00002989521,0.00044470237,0.00024643916,0.00040940754,0.17545141,0.000047262245,0.0007091014,0.0000105504405],"about_ca_topic_score_codex":0.0008872113,"about_ca_topic_score_gemma":0.0038534906,"teacher_disagreement_score":0.0008872113,"about_ca_system_score_codex":0.0001450292,"about_ca_system_score_gemma":0.00013644998,"threshold_uncertainty_score":0.0023362637},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49239004,0.00036607447,0.5018848,0.00015093181,0.0001395807,0.00009858047,0.00039932408,0.0018035674,0.0027671359],"genre_scores_gemma":[0.95172316,0.00021565547,0.044815134,0.000038138925,0.000023959683,0.00005386838,0.0004621337,0.000034221568,0.0026337262],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998332,0.000010348004,0.000013721253,0.000053962103,0.000058933976,0.000029812443],"domain_scores_gemma":[0.9997619,0.000055071465,0.00003451435,0.000016560545,0.00011632586,0.000015607464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002628411,0.0007763762,0.0003795166,0.0010139743,0.00023375462,0.00063966465,0.00040862954,0.00038214904,0.0007032479],"category_scores_gemma":[0.0006442994,0.00022399268,0.00044780542,0.000660943,0.0002106148,0.00073506305,0.00024793373,0.00041148372,0.00023361269],"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":[0.0009058688,0.0003541119,0.041025013,0.00018205412,0.000121506535,0.00025086073,0.0002091932,0.26366222,0.06076137,0.0007132304,0.002622841,0.62919176],"study_design_scores_gemma":[0.00000794106,0.000044113236,0.008783715,0.000007601856,0.000023173287,0.000021493848,0.00004367517,0.9835579,0.0070296866,0.0002427786,0.00022626348,0.000011667673],"about_ca_topic_score_codex":0.009418554,"about_ca_topic_score_gemma":0.007338976,"teacher_disagreement_score":0.009418554,"about_ca_system_score_codex":0.00043589665,"about_ca_system_score_gemma":0.00042239288,"threshold_uncertainty_score":0.018727422},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89837414,0.0008579906,0.009707145,0.0036169735,0.00010925054,0.0013308387,0.008251401,0.0013682096,0.07638404],"genre_scores_gemma":[0.9254416,0.00067605346,0.026217472,0.00062123797,0.000013485455,0.00030334186,0.0049666436,0.00009701374,0.04166331],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99963975,0.000017748038,0.000010876963,0.00004610802,0.00014829854,0.00013729677],"domain_scores_gemma":[0.99927574,0.000019287852,0.000031123538,0.000032593467,0.00035718962,0.00028419352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003581748,0.00019854962,0.00016183102,0.00092621497,0.0032130035,0.0011443142,0.0010974699,0.00036314924,0.0034271146],"category_scores_gemma":[0.00054182304,0.00013527548,0.00019916052,0.0015530089,0.0008043637,0.0003050539,0.00095348223,0.0003930488,0.00027506688],"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":[0.0004845174,0.0006845744,0.40284097,0.00041371517,0.00013460749,0.00383876,0.006643098,0.011810767,0.023442792,0.013516907,0.09078017,0.44540912],"study_design_scores_gemma":[0.00010797674,0.00019763019,0.71738815,0.00016442001,0.00009271764,0.00049781497,0.012034738,0.027820209,0.0027948162,0.0015419949,0.23722002,0.00013960454],"about_ca_topic_score_codex":0.9855334,"about_ca_topic_score_gemma":0.99641573,"teacher_disagreement_score":0.028134283,"about_ca_system_score_codex":0.028134283,"about_ca_system_score_gemma":0.047682077,"threshold_uncertainty_score":0.20412952},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9643324,0.0043936595,0.012745944,0.0006199017,0.00006215411,0.00011038876,0.0014918864,0.00027857957,0.015965004],"genre_scores_gemma":[0.9521138,0.00618794,0.021641036,0.00028452525,0.000027022073,0.000056812813,0.0025241978,0.000101299105,0.01706338],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995105,0.000055045963,0.000025194573,0.00011009933,0.00022206067,0.0000770662],"domain_scores_gemma":[0.999303,0.00008616911,0.00010369198,0.000052520027,0.000330831,0.00012390071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008039085,0.00044361665,0.00023586357,0.00059418,0.0006271345,0.00045246875,0.00035202876,0.0002103176,0.0018580155],"category_scores_gemma":[0.0006883279,0.000087898574,0.00029609737,0.0008006145,0.00033673778,0.00022254598,0.00045471845,0.00053009856,0.00034237865],"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":[0.00034438536,0.00031780757,0.119040236,0.00044907516,0.0001746175,0.000592667,0.0010895011,0.0025592304,0.47622052,0.0019071492,0.0021638984,0.39514098],"study_design_scores_gemma":[0.000021459395,0.0004993495,0.8922591,0.00008102569,0.00023815886,0.0007264062,0.00042244067,0.00206403,0.03885098,0.00030924391,0.06446499,0.000062710285],"about_ca_topic_score_codex":0.28300023,"about_ca_topic_score_gemma":0.59752864,"teacher_disagreement_score":0.28300023,"about_ca_system_score_codex":0.0040745703,"about_ca_system_score_gemma":0.0051897177,"threshold_uncertainty_score":0.562706},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991654,0.00017244018,0.000041691783,0.000060956358,0.000001584703,0.0000028203492,0.00030155692,8.7393255e-7,0.00025268673],"genre_scores_gemma":[0.99959344,0.00013175757,0.00004324602,0.000010059886,0.0000016153807,0.00000390831,0.00012785078,4.4317565e-7,0.00008759962],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982494,0.00004644148,0.000012069824,0.000035402725,0.000013021923,0.00006815943],"domain_scores_gemma":[0.99913603,0.00019120384,0.00041007777,0.000036936064,0.000107147884,0.000118583346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052853883,0.00014996904,0.000113537004,0.0009475409,0.00032299155,0.00034639376,0.00014941025,0.00014557745,0.0013726811],"category_scores_gemma":[0.0013199238,0.00009892455,0.00011577187,0.0015845908,0.00041205427,0.00038905325,0.00037875146,0.00027099877,0.000078273355],"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":[0.00012404515,0.0000152276,0.9892848,0.00003298029,0.00003257794,0.00022958733,0.0019003768,0.00023593147,0.0009901305,0.00020305307,0.00020539606,0.0067458274],"study_design_scores_gemma":[4.6410594e-7,0.000013220763,0.9988199,0.000006105717,0.0000028229924,0.000048488986,0.0007128488,0.00006830568,0.000051907256,0.00002015155,0.00025340694,0.0000023135071],"about_ca_topic_score_codex":0.036026724,"about_ca_topic_score_gemma":0.057606623,"teacher_disagreement_score":0.036026724,"about_ca_system_score_codex":0.00095691363,"about_ca_system_score_gemma":0.00032492215,"threshold_uncertainty_score":0.071634054},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99698263,0.000080784615,0.0021369967,0.000018582143,9.338784e-7,0.000011261723,0.00017967945,0.000042171716,0.00054682465],"genre_scores_gemma":[0.99351656,0.000072698436,0.0058802967,0.0000060618645,0.0000013485019,0.000022813487,0.00028009803,0.000020082169,0.00020013466],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966097,0.000112023015,0.000028568467,0.000058726797,0.00011412772,0.000025498606],"domain_scores_gemma":[0.99935645,0.0002897088,0.0000872375,0.00005513582,0.00018134892,0.000030131718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012364191,0.00031133747,0.00023885602,0.0012485589,0.0003925521,0.000551179,0.00032676832,0.00020733102,0.00024156724],"category_scores_gemma":[0.0018108651,0.00016967214,0.00033488078,0.0010130815,0.00019105256,0.00045604762,0.0003848952,0.00011155986,0.0000624047],"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":[0.000615905,0.0001235955,0.7278234,0.00035352787,0.00062419317,0.00026520417,0.0015552096,0.08383712,0.045066,0.001012841,0.00058229995,0.1381407],"study_design_scores_gemma":[0.000025975936,0.00015079172,0.84754544,0.000020889815,0.00006960457,0.00009306422,0.0005433138,0.1370315,0.01254701,0.00055672583,0.0013724396,0.00004337851],"about_ca_topic_score_codex":0.03153685,"about_ca_topic_score_gemma":0.06495953,"teacher_disagreement_score":0.9684631,"about_ca_system_score_codex":0.00093088666,"about_ca_system_score_gemma":0.0006265425,"threshold_uncertainty_score":0.06270659},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9702519,0.0045732995,0.00054455036,0.008433501,0.000048107177,0.0000038614357,0.00010331231,0.0000062219015,0.01603533],"genre_scores_gemma":[0.9971968,0.0016066764,0.000079105324,0.00026841115,0.00003421064,0.0000011184985,0.000038546015,0.0000030489543,0.00077195035],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998684,0.00003817752,0.000004360016,0.000026837684,0.00002070334,0.00004142898],"domain_scores_gemma":[0.9994216,0.00017908569,0.00021230415,0.000020501191,0.000070636386,0.000095915995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080153573,0.00015379216,0.0002832008,0.0005408618,0.00028211126,0.0023491045,0.00017031013,0.000574896,0.0028231498],"category_scores_gemma":[0.0014102578,0.00006863931,0.00018753993,0.0006922081,0.0005455072,0.002946251,0.000576811,0.00045815867,0.00016954957],"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":[0.00040000337,0.00016092732,0.7022066,0.00019323234,0.00024113017,0.0009945895,0.0040832455,0.0025990142,0.0022421253,0.13046528,0.0053501865,0.1510636],"study_design_scores_gemma":[0.00004129186,0.0001761078,0.90887743,0.00030148542,0.0001485656,0.00040125375,0.018949997,0.008960375,0.0011430396,0.024960881,0.035999488,0.000040086074],"about_ca_topic_score_codex":0.005500002,"about_ca_topic_score_gemma":0.0055135894,"teacher_disagreement_score":0.005500002,"about_ca_system_score_codex":0.00041531556,"about_ca_system_score_gemma":0.00043534805,"threshold_uncertainty_score":0.010935962},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4596908,0.015791815,0.041878097,0.06602894,0.00033662704,0.0012774125,0.00017612758,0.000083653606,0.41473648],"genre_scores_gemma":[0.98578715,0.0021817645,0.007031939,0.00082703214,0.000022367549,0.0003932057,0.000037005248,0.000011715215,0.003707887],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9953447,0.0034219148,0.00015795845,0.00031487932,0.0003804095,0.000380125],"domain_scores_gemma":[0.9947496,0.004117913,0.00045538667,0.00013742172,0.00031462868,0.00022508518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0075641684,0.0005966855,0.00037979963,0.002664087,0.0076726316,0.005141911,0.0012862375,0.0023950567,0.0025863699],"category_scores_gemma":[0.008877177,0.00029484692,0.0005973519,0.0019772877,0.018664751,0.0068307226,0.0065448927,0.002359846,0.0001523892],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012166603,0.000061303,0.0021837337,0.000354146,0.0000065257664,0.0026265832,0.4890001,0.00042988503,0.00044843066,0.48482114,0.0019302119,0.0181258],"study_design_scores_gemma":[0.000017704333,0.0000679989,0.0038345659,0.0019909372,0.00001996114,0.002080311,0.6236314,0.001999371,0.0004818817,0.15414698,0.21168737,0.00004147827],"about_ca_topic_score_codex":0.023793897,"about_ca_topic_score_gemma":0.028890593,"teacher_disagreement_score":0.023793897,"about_ca_system_score_codex":0.012748566,"about_ca_system_score_gemma":0.0072109415,"threshold_uncertainty_score":0.092497766},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996099,0.000072367475,0.000021830494,0.0000051717097,7.66874e-7,0.0000026223227,0.000099714554,8.2469097e-7,0.000186873],"genre_scores_gemma":[0.9989772,0.000076582604,0.000063675245,0.000010555683,6.106501e-7,0.000002849185,0.00023083639,0.000001535845,0.00063621864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999218,0.0000068533436,0.0000063067837,0.00002970352,0.000016986893,0.000018244378],"domain_scores_gemma":[0.99987006,0.000009611597,0.000038729013,0.0000056794856,0.00003586613,0.000040005645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013397164,0.00022963673,0.00019174167,0.00047391033,0.00026223532,0.00031235215,0.00008637568,0.00009788029,0.00063003413],"category_scores_gemma":[0.000108077904,0.00010574714,0.00017189249,0.00049691,0.00017004985,0.00022081236,0.00015027839,0.00017237225,0.00009848567],"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":[0.0012785193,0.00032229957,0.68590903,0.00015779915,0.0002445188,0.00083905936,0.0016897367,0.00022560632,0.29452452,0.00009053583,0.00023469575,0.014483682],"study_design_scores_gemma":[0.0000015540322,0.000051733467,0.9988612,7.730481e-7,0.000009035346,0.00004822623,0.00016170047,0.00002831969,0.0007163447,0.0000033052077,0.000115833216,0.0000019262325],"about_ca_topic_score_codex":0.046014734,"about_ca_topic_score_gemma":0.18824513,"teacher_disagreement_score":0.046014734,"about_ca_system_score_codex":0.00083360163,"about_ca_system_score_gemma":0.00036095412,"threshold_uncertainty_score":0.091493785},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99909174,0.00018308776,0.0001515966,0.00000860364,8.9056925e-7,0.0000032820458,0.00010689808,0.0000031260267,0.00045095244],"genre_scores_gemma":[0.99915373,0.00009983544,0.00040789144,0.000008999184,0.0000020071373,0.0000030910135,0.00013604216,0.0000029126857,0.00018542341],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998621,0.000029625844,0.000009774228,0.00003368844,0.000031902935,0.000032892392],"domain_scores_gemma":[0.99924386,0.0001565684,0.00027811644,0.000052029474,0.00007191635,0.00019743953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026686053,0.0002615539,0.00017998528,0.00042860786,0.00023165616,0.00041401346,0.000118145086,0.00013656532,0.001008041],"category_scores_gemma":[0.00047096531,0.00008828011,0.00011144014,0.00039358778,0.00022047576,0.00026458447,0.00034394354,0.0001575447,0.00011239046],"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":[0.00054115144,0.00009984686,0.27183408,0.00013974152,0.00012750746,0.0002270421,0.00026371903,0.00041616271,0.70526546,0.0001620248,0.00008007082,0.020843102],"study_design_scores_gemma":[0.000002438604,0.00013470242,0.9959312,0.0000031320953,0.000010693898,0.00016224309,0.000083154126,0.00015803525,0.0031125457,0.000048034442,0.00035096813,0.000002943698],"about_ca_topic_score_codex":0.0016328441,"about_ca_topic_score_gemma":0.005895916,"teacher_disagreement_score":0.0016328441,"about_ca_system_score_codex":0.00029679632,"about_ca_system_score_gemma":0.00031049267,"threshold_uncertainty_score":0.0033721924},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99814343,0.000050712402,0.0011620651,0.000005045227,0.0000026734735,0.000044737917,0.00013501219,0.000021616603,0.00043476655],"genre_scores_gemma":[0.99054503,0.0001216481,0.0060567805,0.000020687801,0.000004545898,0.000111313675,0.00077343854,0.000028364431,0.0023383202],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99965775,0.00003036622,0.00002522276,0.00009979496,0.0001413208,0.000045439912],"domain_scores_gemma":[0.99919707,0.00017219486,0.00017705167,0.00007847635,0.00028456165,0.000090730624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008009009,0.00028257398,0.0003287817,0.0005468451,0.00036237718,0.0004316982,0.00056421984,0.00015985614,0.001552875],"category_scores_gemma":[0.0006023642,0.00016921123,0.00033294183,0.00044453374,0.00026751164,0.00047390332,0.0002645754,0.00018932798,0.000296118],"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":[0.0028911645,0.0015438282,0.110553674,0.0006845347,0.00015843664,0.0002435076,0.00064563873,0.0059015932,0.7925442,0.00020458184,0.0006955822,0.08393324],"study_design_scores_gemma":[0.00007164158,0.005579027,0.8779546,0.000030924795,0.00012932136,0.00012354285,0.00045494057,0.00668211,0.10591935,0.000083701525,0.0029176935,0.000052981344],"about_ca_topic_score_codex":0.011020517,"about_ca_topic_score_gemma":0.037987377,"teacher_disagreement_score":0.011020517,"about_ca_system_score_codex":0.0010642264,"about_ca_system_score_gemma":0.00049364805,"threshold_uncertainty_score":0.021912754},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990339,0.00028480266,0.00017253788,0.000009258564,0.0000062624176,0.0000048047823,0.00014478219,0.000008642136,0.00033501166],"genre_scores_gemma":[0.9963097,0.00026409785,0.0005395579,0.000019523402,0.0000024606416,0.000007811741,0.0007476121,0.000014367935,0.00209478],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998622,0.000013349902,0.00001530425,0.000045695193,0.000041251704,0.000022238604],"domain_scores_gemma":[0.9998,0.000018344565,0.000049384435,0.000013374328,0.00005582765,0.00006309509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001474319,0.00028861169,0.00029057445,0.00019851707,0.00018860243,0.0003953797,0.0001461863,0.00015850211,0.0007615646],"category_scores_gemma":[0.0001577219,0.00009784099,0.00025344716,0.00020155727,0.00010489428,0.00025753162,0.00017999779,0.00038345243,0.00015270177],"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":[0.00014223282,0.000023997118,0.0015369497,0.000031841933,0.000012367922,0.000041681516,0.000039832907,0.000038997256,0.9969627,0.000012326086,0.000019455785,0.0011375169],"study_design_scores_gemma":[0.000012171113,0.00290662,0.23969254,0.000033310116,0.00012042222,0.000253038,0.0003646935,0.00076768023,0.7534782,0.000049620336,0.0022942515,0.0000272988],"about_ca_topic_score_codex":0.0028390505,"about_ca_topic_score_gemma":0.0054102065,"teacher_disagreement_score":0.0028390505,"about_ca_system_score_codex":0.00026998113,"about_ca_system_score_gemma":0.00013075296,"threshold_uncertainty_score":0.0056450367},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9532715,0.0011913023,0.00062180817,0.0060518654,0.000058950936,0.00014977524,0.00023900144,0.000018682156,0.038397077],"genre_scores_gemma":[0.9863644,0.0013086989,0.0008940997,0.00077673205,0.000006564448,0.00004184838,0.00008572542,0.000013882115,0.0105079515],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99625933,0.00091447553,0.000057237903,0.00019878236,0.0006985058,0.0018717309],"domain_scores_gemma":[0.99646986,0.0008879625,0.00022604498,0.000095664545,0.0009261888,0.0013943384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021169651,0.0004216822,0.000403774,0.0016162028,0.030139625,0.004997561,0.0019582894,0.0018656674,0.0029050938],"category_scores_gemma":[0.0036889988,0.00035674166,0.00034268247,0.004492533,0.006728478,0.0013585116,0.0042224997,0.0024291626,0.00017952043],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004116036,0.00042103734,0.11120293,0.0006498559,0.00006353825,0.03456358,0.67606723,0.0028845049,0.003328266,0.08156398,0.023601986,0.06524146],"study_design_scores_gemma":[0.000018627816,0.00007578092,0.027875785,0.0002606479,0.000035499314,0.0009651518,0.85840267,0.0010713447,0.0006543963,0.001143051,0.10943265,0.00006436936],"about_ca_topic_score_codex":0.9917292,"about_ca_topic_score_gemma":0.9977501,"teacher_disagreement_score":0.1324877,"about_ca_system_score_codex":0.1324877,"about_ca_system_score_gemma":0.17344348,"threshold_uncertainty_score":0.96127003},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984106,0.00050770235,0.0004047289,0.00001930708,0.000007920596,0.000020288018,0.00014058482,0.00001917257,0.0004697116],"genre_scores_gemma":[0.99310946,0.00052184385,0.002790391,0.00007906959,0.0000052363007,0.00003462187,0.0007205111,0.00003487052,0.0027040278],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998135,0.000017394177,0.000010655839,0.000056697892,0.00005714623,0.00004470602],"domain_scores_gemma":[0.9998031,0.000016974447,0.000047055877,0.000015933067,0.000046085745,0.00007080962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015081254,0.000477399,0.0003560153,0.00027176517,0.00050343346,0.00051038805,0.0003783121,0.0002605573,0.00070861814],"category_scores_gemma":[0.00012060536,0.00014525146,0.00031158334,0.00021312945,0.00019270447,0.00022584035,0.00027774138,0.0005653312,0.000101849575],"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":[0.00014449323,0.000054744156,0.001653032,0.00006983905,0.000013427665,0.00006704887,0.00006360701,0.000044153046,0.9959073,0.000017457514,0.000032927557,0.0019319268],"study_design_scores_gemma":[0.000029017281,0.0026932964,0.518786,0.000048688275,0.00017134202,0.0005253396,0.00055271445,0.00081323064,0.4692604,0.00005108023,0.0070148837,0.00005405675],"about_ca_topic_score_codex":0.028954335,"about_ca_topic_score_gemma":0.12958549,"teacher_disagreement_score":0.028954335,"about_ca_system_score_codex":0.00076329225,"about_ca_system_score_gemma":0.0008696297,"threshold_uncertainty_score":0.05757159},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99461645,0.0014263188,0.0013048368,0.00010847855,0.000020535112,0.000027273025,0.00035263653,0.00010757341,0.0020359368],"genre_scores_gemma":[0.99417335,0.00045895984,0.0015471086,0.00016561599,0.000006930099,0.000088875306,0.00040020613,0.000052253872,0.0031067203],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982834,0.000022660844,0.00001310189,0.00006746311,0.000029123808,0.000039356666],"domain_scores_gemma":[0.99975175,0.00007191586,0.000039715444,0.000012665765,0.00004531712,0.00007867979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017097301,0.0005668868,0.0006381764,0.00044085455,0.0005437238,0.00059497845,0.00040745325,0.00073706993,0.0012223131],"category_scores_gemma":[0.00024514663,0.00046056506,0.00032995857,0.00026087672,0.00031941515,0.00060603034,0.0005281463,0.0011599117,0.00032927823],"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":[0.00014800888,0.000017304774,0.0015537234,0.000048196795,0.000005669244,0.000099408935,0.000049815153,0.000038464885,0.9971403,0.000039543844,0.000021134341,0.00083846506],"study_design_scores_gemma":[0.0001582903,0.0010212279,0.5651433,0.000064981235,0.00009814673,0.0005234814,0.0009754881,0.002830263,0.41951585,0.0005081518,0.009058984,0.000101885875],"about_ca_topic_score_codex":0.007545916,"about_ca_topic_score_gemma":0.008549248,"teacher_disagreement_score":0.007545916,"about_ca_system_score_codex":0.0010717232,"about_ca_system_score_gemma":0.00034936896,"threshold_uncertainty_score":0.015003979},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952041,0.000091102,0.001340264,0.00028619877,0.000011275432,0.00003704579,0.0012390788,0.000051351137,0.0017397357],"genre_scores_gemma":[0.99742824,0.000117523385,0.0013551721,0.000015491893,0.0000065249096,0.000028421246,0.0006535061,0.0000067928017,0.0003883411],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998079,0.000073331394,0.00000668523,0.000028592785,0.00002439302,0.000059068647],"domain_scores_gemma":[0.99979967,0.00005573533,0.000030220783,0.000017395181,0.000066688575,0.000030157098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004711829,0.00064893055,0.00027846286,0.0006458166,0.0003945519,0.00060673285,0.0007302065,0.00073595636,0.0011424223],"category_scores_gemma":[0.00057200005,0.0002408249,0.000783945,0.0012198247,0.0002802425,0.00037309766,0.0005246006,0.00045195146,0.00016740402],"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":[0.00029597545,0.000337477,0.12205476,0.00015277938,0.00025186827,0.0066806045,0.00055836036,0.844484,0.004633698,0.00210396,0.0043531246,0.014093408],"study_design_scores_gemma":[0.0000698031,0.00019169446,0.109721765,0.000022446377,0.00010123326,0.00030806006,0.0022486916,0.88252616,0.0014088133,0.0006036006,0.0027434332,0.000054241682],"about_ca_topic_score_codex":0.108979024,"about_ca_topic_score_gemma":0.06151792,"teacher_disagreement_score":0.108979024,"about_ca_system_score_codex":0.0018314578,"about_ca_system_score_gemma":0.0007555809,"threshold_uncertainty_score":0.21668935},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13281144,0.0003992239,0.84538734,0.0005292261,0.00024116668,0.00017799874,0.0001645728,0.0034158034,0.016873237],"genre_scores_gemma":[0.80351603,0.00017473359,0.18673813,0.0003441462,0.000043787255,0.00015932223,0.0001185521,0.00006055442,0.008844636],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998017,0.000026507214,0.000007562672,0.000056168887,0.00007725668,0.000030895997],"domain_scores_gemma":[0.99991477,0.000015109559,0.00001265083,0.000014131325,0.000024207582,0.000019096411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016097564,0.00043287734,0.00029376245,0.00021204927,0.0003153124,0.0005505088,0.0010657035,0.00058414944,0.0020581638],"category_scores_gemma":[0.00018327586,0.00015121256,0.00030604083,0.00018984897,0.0002698499,0.0007950099,0.000801149,0.00038925378,0.00068783085],"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":[0.00054764154,0.0005806664,0.0037380045,0.00033320457,0.00012605176,0.0016841172,0.0004910966,0.066370904,0.5654922,0.010229969,0.009008453,0.34139767],"study_design_scores_gemma":[0.00014988937,0.0013746341,0.0044249743,0.000037460766,0.00010492143,0.0010707554,0.00024426996,0.8304309,0.11201547,0.005735557,0.044290297,0.00012083871],"about_ca_topic_score_codex":0.00072980614,"about_ca_topic_score_gemma":0.00087391795,"teacher_disagreement_score":0.0020581638,"about_ca_system_score_codex":0.00022112335,"about_ca_system_score_gemma":0.00036392626,"threshold_uncertainty_score":0.00688529},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99933064,0.00023280643,0.0001305679,0.000014379677,0.000010321441,0.000016804395,0.00009227324,0.0000036993654,0.00016845514],"genre_scores_gemma":[0.99738854,0.00020986289,0.00082012225,0.000100615274,0.00001572812,0.000052569045,0.00033136757,0.000009679634,0.0010715412],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99951625,0.00009424536,0.000044683176,0.00020103318,0.00007745377,0.00006630869],"domain_scores_gemma":[0.9992223,0.00018657034,0.00022074576,0.00005888089,0.000111023975,0.00020057848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046535608,0.00052105536,0.00075615034,0.00029729842,0.00051296444,0.00069514435,0.00043431472,0.00048880716,0.000813119],"category_scores_gemma":[0.0004676422,0.00028410024,0.00036715332,0.00027977693,0.00052356103,0.0006252582,0.00035251674,0.00061226625,0.00012180572],"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":[0.0122813955,0.0013491304,0.038862407,0.00027361716,0.00022492498,0.00015414703,0.00020499271,0.000256735,0.9374446,0.000034275694,0.00007503197,0.008838626],"study_design_scores_gemma":[0.00017784546,0.013997918,0.84579027,0.000019320423,0.00027006006,0.00013227852,0.0005112177,0.0010331823,0.13559557,0.000108528504,0.0023116993,0.000052108506],"about_ca_topic_score_codex":0.0069122976,"about_ca_topic_score_gemma":0.02183209,"teacher_disagreement_score":0.0069122976,"about_ca_system_score_codex":0.0011296979,"about_ca_system_score_gemma":0.00074216165,"threshold_uncertainty_score":0.013744116},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986457,0.00006528904,0.00076335715,0.000014843824,0.0000029952523,0.0000141579985,0.000055188535,0.000012935781,0.00042546442],"genre_scores_gemma":[0.99469537,0.00011275985,0.0034246692,0.000020474103,0.0000019591146,0.000036745783,0.00021558546,0.000013908859,0.0014783682],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998983,0.00001008967,0.000008461841,0.000038630984,0.000024787763,0.000019699943],"domain_scores_gemma":[0.99987864,0.000014587649,0.000033523018,0.000007777423,0.000020737976,0.000044696953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017395733,0.0003181797,0.0002649015,0.00017415849,0.00017877431,0.0002901163,0.00032164133,0.00020249015,0.00031515284],"category_scores_gemma":[0.000111448324,0.00009355514,0.00031345384,0.00015909596,0.00017836396,0.00026633183,0.00024666567,0.00036389698,0.00009146425],"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":[0.000086018765,0.00004168694,0.0009266941,0.000033429096,0.000003383061,0.00005203116,0.00003079729,0.00021576622,0.99715996,0.000024480023,0.000010738762,0.0014151207],"study_design_scores_gemma":[0.00003550868,0.0021025313,0.069928125,0.000014536755,0.000049933828,0.00011579078,0.0002807973,0.003884836,0.9215595,0.000082249346,0.0019237146,0.000022441012],"about_ca_topic_score_codex":0.0019944638,"about_ca_topic_score_gemma":0.0034218878,"teacher_disagreement_score":0.0019944638,"about_ca_system_score_codex":0.0006172907,"about_ca_system_score_gemma":0.00033513023,"threshold_uncertainty_score":0.004478812},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06543735,0.037631784,0.2008979,0.1068674,0.0015235355,0.00032529404,0.0002216712,0.00029836516,0.5867967],"genre_scores_gemma":[0.85991776,0.031949922,0.031551905,0.004449085,0.00057141954,0.00028695646,0.00018514604,0.00012480123,0.07096297],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983625,0.0007860711,0.000065872715,0.00016606026,0.00041216533,0.00020744828],"domain_scores_gemma":[0.99873894,0.0006520879,0.00012199654,0.0001513638,0.00020623088,0.00012933431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024832957,0.00034863834,0.00018043029,0.00095364207,0.0025580833,0.0070493286,0.00088203844,0.0026281243,0.0025717448],"category_scores_gemma":[0.0021789966,0.0002432194,0.0002908677,0.0016873146,0.0064653093,0.011796672,0.004546951,0.0028470668,0.0004969844],"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":[0.000011722292,0.000010114078,0.00020577686,0.00007299178,0.0000028673583,0.00024959652,0.0030365465,0.0011049429,0.00029522117,0.9780748,0.0030250803,0.013910335],"study_design_scores_gemma":[0.000009126902,0.00004101147,0.00043397932,0.00056731515,0.000008335681,0.00035782662,0.004974549,0.006771587,0.0010346121,0.5077526,0.4780156,0.000033449418],"about_ca_topic_score_codex":0.0044885934,"about_ca_topic_score_gemma":0.0037949262,"teacher_disagreement_score":0.0070493286,"about_ca_system_score_codex":0.00416642,"about_ca_system_score_gemma":0.0041798595,"threshold_uncertainty_score":0.030229688},"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":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.213495,0.7686308,0.003094769,0.0045967516,0.00029890618,0.0033642359,0.0013565824,0.000025964859,0.005137041],"genre_scores_gemma":[0.6173093,0.36969978,0.008550895,0.0012305101,0.00008852991,0.002382521,0.0003809707,0.000028224897,0.00032929808],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9550914,0.0274345,0.0083871875,0.0015986365,0.006254756,0.0012335406],"domain_scores_gemma":[0.8224692,0.1483876,0.015014779,0.0020515833,0.011095287,0.0009816628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.048043672,0.00083370885,0.0021784545,0.012341923,0.0017287345,0.004866182,0.0009973823,0.0012580815,0.00208421],"category_scores_gemma":[0.145314,0.00085102976,0.0030626783,0.01278831,0.0028480552,0.0059846286,0.0034842638,0.0015986292,0.00013632709],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038231516,0.00016689421,0.027792927,0.5160896,0.0036841054,0.0006037171,0.06571816,0.00050296524,0.0012590288,0.003923706,0.0014388766,0.37843773],"study_design_scores_gemma":[0.00014433247,0.0008898466,0.057110224,0.7889062,0.01284232,0.0007792002,0.078890234,0.0006845868,0.0022713367,0.0021955592,0.055136908,0.00014920777],"about_ca_topic_score_codex":0.012784884,"about_ca_topic_score_gemma":0.032800004,"teacher_disagreement_score":0.048043672,"about_ca_system_score_codex":0.0063717254,"about_ca_system_score_gemma":0.030671485,"threshold_uncertainty_score":0.25408226},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997793,0.000029976902,0.000029561334,0.0000015033429,7.045489e-7,0.0000053342983,0.000056239023,0.0000018134313,0.00009563451],"genre_scores_gemma":[0.999111,0.00006288094,0.00011266478,0.000010242033,0.0000015824827,0.0000074959326,0.00036980168,0.0000016315502,0.00032262705],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996741,0.0000321006,0.000025502442,0.00006786332,0.00011534928,0.00008514461],"domain_scores_gemma":[0.9994253,0.000085080814,0.00017111597,0.000032851287,0.00012490932,0.00016086713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003130641,0.00031024058,0.00038926327,0.00042556057,0.00037721207,0.0006157385,0.00031246652,0.00024396702,0.00095169287],"category_scores_gemma":[0.0004790919,0.00022422345,0.00027833515,0.0004384993,0.00038612928,0.00022472812,0.00035151385,0.0002616724,0.00009359897],"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":[0.0060486407,0.0005516301,0.28205034,0.00022898584,0.0003018141,0.0004903342,0.00063987286,0.0017392668,0.69408953,0.000054199085,0.00012529119,0.013680071],"study_design_scores_gemma":[0.000027103828,0.0011596592,0.98064077,0.000005635221,0.000063722466,0.00006712025,0.00019884437,0.00052891904,0.01703059,0.000017254237,0.00024690005,0.000013558217],"about_ca_topic_score_codex":0.06127073,"about_ca_topic_score_gemma":0.1345239,"teacher_disagreement_score":0.06127073,"about_ca_system_score_codex":0.001555873,"about_ca_system_score_gemma":0.0008761098,"threshold_uncertainty_score":0.12182814},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999589,0.00003536259,0.000028457162,0.000007904387,6.088823e-7,0.0000019730799,0.00012625086,0.0000015719636,0.00020886933],"genre_scores_gemma":[0.99946076,0.00003806066,0.00009775807,0.000009162224,8.556791e-7,0.0000032234532,0.00019379354,0.0000012502397,0.00019512192],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998933,0.000009195959,0.00000517827,0.000035579124,0.000019446543,0.000037407197],"domain_scores_gemma":[0.9997466,0.000027980013,0.00008512099,0.000009207034,0.00006796392,0.00006318746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016243286,0.0001261009,0.00017579921,0.0006723765,0.0005449511,0.00049449573,0.0002592786,0.00021712999,0.00056987774],"category_scores_gemma":[0.00026944035,0.00011759647,0.00014194161,0.000947638,0.00055382785,0.00023926744,0.00025476195,0.00016320041,0.000073630785],"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":[0.0002676956,0.00005255799,0.9752289,0.000046691464,0.00007386236,0.00022754962,0.0014775776,0.00047210572,0.015887018,0.00007144574,0.00017427745,0.006020298],"study_design_scores_gemma":[8.797914e-7,0.000011522185,0.9992399,0.0000018406895,0.0000029600562,0.000016946806,0.00037088076,0.00011638726,0.00012074416,0.000008097273,0.000108305605,0.000001436003],"about_ca_topic_score_codex":0.27871555,"about_ca_topic_score_gemma":0.5989125,"teacher_disagreement_score":0.27871555,"about_ca_system_score_codex":0.0019605537,"about_ca_system_score_gemma":0.00090949907,"threshold_uncertainty_score":0.55418646},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999803,0.000013412022,0.000075816206,0.000002093574,3.1593532e-7,0.0000027944404,0.000039110186,0.0000011625411,0.000062390645],"genre_scores_gemma":[0.99908054,0.0000210109,0.0002560596,0.00000820361,5.829312e-7,0.000004752003,0.00027649652,0.000001999841,0.00035028884],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959403,0.00012646164,0.00001598554,0.000065384134,0.000112520334,0.000085711734],"domain_scores_gemma":[0.9991792,0.0003902066,0.00013874345,0.00004053842,0.000112213515,0.00013904306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012547253,0.0003236046,0.00032164776,0.00016433801,0.00024425169,0.0005706167,0.00022878246,0.00019668667,0.00040377284],"category_scores_gemma":[0.0008717141,0.00014729153,0.00028416715,0.00018969987,0.00034260508,0.00016148266,0.00018959193,0.00029241503,0.000066961664],"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":[0.0116202,0.0015491295,0.8368899,0.0000811745,0.0006342707,0.000208834,0.00035861836,0.02639647,0.10661665,0.00012434126,0.00015020277,0.015370088],"study_design_scores_gemma":[0.000036719073,0.0031033265,0.98200536,0.0000040664686,0.000083976454,0.000028927781,0.00016223728,0.008531381,0.0058040316,0.000035155168,0.00019532036,0.000009557629],"about_ca_topic_score_codex":0.09158252,"about_ca_topic_score_gemma":0.23055051,"teacher_disagreement_score":0.09158252,"about_ca_system_score_codex":0.0021481344,"about_ca_system_score_gemma":0.000979075,"threshold_uncertainty_score":0.18209893},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06272733,0.0010343852,0.9122127,0.0012455162,0.0001912832,0.00021502117,0.0005547529,0.0033964594,0.018422583],"genre_scores_gemma":[0.75930244,0.0015792086,0.22557276,0.0005475562,0.00009450183,0.00023762404,0.0019026456,0.00021920366,0.01054398],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995571,0.000052321087,0.000052268177,0.000106208034,0.0001803645,0.00005168589],"domain_scores_gemma":[0.99942917,0.000107638014,0.000051580802,0.00015297206,0.0002074302,0.000051144165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065077184,0.000331735,0.00026570132,0.0007092235,0.00042355797,0.0018953343,0.0011391476,0.00039740326,0.0011002697],"category_scores_gemma":[0.0008579305,0.00020489708,0.00033621557,0.0011207749,0.00035861935,0.0023942934,0.0011921272,0.0006717588,0.00040938536],"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":[0.00045568784,0.0005170405,0.016094208,0.00092066836,0.00028196574,0.0015621597,0.0020455446,0.069401376,0.14796907,0.14416075,0.024265788,0.59232575],"study_design_scores_gemma":[0.000057382804,0.0002646124,0.00932645,0.00020271249,0.0002464263,0.0006692262,0.00093083456,0.57736325,0.14462736,0.091792054,0.17441681,0.00010288596],"about_ca_topic_score_codex":0.0013205614,"about_ca_topic_score_gemma":0.0012997591,"teacher_disagreement_score":0.0018953343,"about_ca_system_score_codex":0.0005024775,"about_ca_system_score_gemma":0.0008127789,"threshold_uncertainty_score":0.0036807656},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8450399,0.0010083219,0.14935464,0.00020471125,0.000049772545,0.00004808641,0.0009687884,0.0006168585,0.0027090495],"genre_scores_gemma":[0.97394854,0.0005485222,0.024014669,0.000027900574,0.000026780694,0.000022350983,0.00072111987,0.000023088867,0.00066702993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999126,0.000028709946,0.000004630586,0.000030298133,0.000013869711,0.000009882814],"domain_scores_gemma":[0.99988306,0.00004183448,0.000023768696,0.000020434982,0.000025787638,0.0000052478267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033202168,0.0006580289,0.0002072318,0.00047312316,0.00010960313,0.00048119543,0.00029497372,0.00031433397,0.00032637542],"category_scores_gemma":[0.00046496722,0.00016133738,0.00035591383,0.0005831501,0.00010574007,0.0005259973,0.00017016404,0.0001785084,0.00019776552],"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":[0.00016847464,0.000229762,0.113093354,0.00018531752,0.00034348443,0.00027647192,0.00010673946,0.67353916,0.04314265,0.0009756047,0.00071491144,0.16722403],"study_design_scores_gemma":[0.000008497102,0.00007423659,0.059536677,0.000012998848,0.00006241447,0.000049941144,0.000054995806,0.9339664,0.004659675,0.00054039666,0.0010076999,0.000026118607],"about_ca_topic_score_codex":0.00815375,"about_ca_topic_score_gemma":0.007824472,"teacher_disagreement_score":0.00815375,"about_ca_system_score_codex":0.0001951915,"about_ca_system_score_gemma":0.00018457025,"threshold_uncertainty_score":0.016212583},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.075581424,0.050426543,0.12692231,0.2887078,0.0021209472,0.00038455252,0.000077885845,0.0003072973,0.4554712],"genre_scores_gemma":[0.95096,0.012302298,0.014106114,0.013634433,0.000387241,0.00027237023,0.000036576257,0.0000655292,0.0082354],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9881726,0.007252074,0.00041588416,0.0011273924,0.0014479228,0.0015842846],"domain_scores_gemma":[0.9909017,0.0047835642,0.000972656,0.001681232,0.00064017845,0.0010206557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014420712,0.00041989543,0.0005825326,0.0012359963,0.0050878422,0.013093003,0.0017941174,0.0049189758,0.0027611968],"category_scores_gemma":[0.012046087,0.00030619142,0.0006778377,0.0016755683,0.038375784,0.016421845,0.0154713085,0.0051807743,0.00031319755],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069663965,0.0000253324,0.00062475324,0.00020019033,0.000026445432,0.00011313376,0.0062566553,0.0010943253,0.00029997982,0.96274513,0.002612424,0.025994567],"study_design_scores_gemma":[0.0000095875075,0.000033036624,0.0013440801,0.0008082528,0.000017584516,0.00007000207,0.008136056,0.0003907702,0.0003067922,0.8401099,0.14875323,0.00002066035],"about_ca_topic_score_codex":0.0037739917,"about_ca_topic_score_gemma":0.0047646216,"teacher_disagreement_score":0.014420712,"about_ca_system_score_codex":0.006287214,"about_ca_system_score_gemma":0.009631491,"threshold_uncertainty_score":0.07626498},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847831,0.00011984824,0.012420132,0.00016519683,0.000013870742,0.000055195393,0.00050478446,0.00034972036,0.0015881886],"genre_scores_gemma":[0.9945648,0.000048391255,0.004605542,0.000024376386,0.0000024263009,0.00003839672,0.00039465388,0.000018427938,0.00030307306],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981683,0.000048968104,0.000014494587,0.000045280925,0.000032532713,0.000041831707],"domain_scores_gemma":[0.9997421,0.00008497899,0.000036279278,0.000018339826,0.00009076817,0.000027521051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008439469,0.0008668842,0.0007004674,0.00029656212,0.00025617663,0.000604982,0.00093960407,0.0004635818,0.00052979676],"category_scores_gemma":[0.0007706823,0.00031822608,0.00060673745,0.00038680204,0.00026744994,0.00050257426,0.00044237953,0.00036443438,0.00009380894],"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":[0.00007239097,0.0000924222,0.010611441,0.00006152947,0.000036311565,0.000068710506,0.000042992648,0.9759478,0.004303092,0.00019884056,0.00034299894,0.008221432],"study_design_scores_gemma":[0.00003194361,0.000036619196,0.001950316,0.0000018603059,0.000009560317,0.0000023966916,0.000014617209,0.9970854,0.0006834888,0.00004629489,0.0001308498,0.0000065833983],"about_ca_topic_score_codex":0.08864592,"about_ca_topic_score_gemma":0.065667346,"teacher_disagreement_score":0.08864592,"about_ca_system_score_codex":0.0014587659,"about_ca_system_score_gemma":0.0021682158,"threshold_uncertainty_score":0.17625993},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98999363,0.00022495077,0.007355632,0.000045851608,0.000018580857,0.0001321507,0.0013938163,0.00010456953,0.000730904],"genre_scores_gemma":[0.957019,0.00024699487,0.035383657,0.000095944226,0.0000123686605,0.00017000902,0.004548495,0.00010849327,0.002415205],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999403,0.000116429575,0.000039507227,0.00020015075,0.00015811212,0.0000827794],"domain_scores_gemma":[0.99945265,0.0001603188,0.00014984568,0.00006621998,0.00007815803,0.00009274736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007027994,0.00047490405,0.000550338,0.00049855537,0.00029649795,0.00047349377,0.0005836761,0.00040148466,0.0009710616],"category_scores_gemma":[0.000681275,0.00024584203,0.00048164398,0.0004803657,0.00022154815,0.00012540662,0.00037042456,0.0005368459,0.00047296533],"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":[0.0002080761,0.00006165364,0.0039224518,0.000038514845,0.00002293888,0.00011143875,0.00011597769,0.00021445072,0.99062306,0.00003994672,0.000031903175,0.004609575],"study_design_scores_gemma":[0.00022967074,0.0010774969,0.5316935,0.000043515818,0.00027232774,0.00077378686,0.00026568148,0.006049192,0.45358065,0.000094216375,0.0058531254,0.00006683076],"about_ca_topic_score_codex":0.005227857,"about_ca_topic_score_gemma":0.009398644,"teacher_disagreement_score":0.005227857,"about_ca_system_score_codex":0.00050689024,"about_ca_system_score_gemma":0.00051988283,"threshold_uncertainty_score":0.010394871},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819067,0.00043697073,0.0006245528,0.0019892456,0.00001516046,0.0000210052,0.000021601654,0.000003275045,0.01498145],"genre_scores_gemma":[0.99485564,0.0003403374,0.0003389556,0.00014468492,0.000010837387,0.000011785993,0.000026419608,0.0000026652747,0.0042686495],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9982982,0.000829532,0.000038138078,0.00015596933,0.00015934299,0.00051882153],"domain_scores_gemma":[0.9979893,0.00072647707,0.00047640782,0.00007185298,0.00023127766,0.00050480285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023165883,0.00020787159,0.00015790698,0.0005666469,0.0063471985,0.005005568,0.0006900218,0.0009300028,0.00879243],"category_scores_gemma":[0.00211319,0.00026181713,0.00015687343,0.0010020718,0.0016131994,0.00242401,0.0032820487,0.00061987585,0.00032131706],"study_design_candidate":"qualitative","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":[0.00035756073,0.00030976426,0.61893696,0.00028695707,0.000035579822,0.019851267,0.20405506,0.0009290195,0.0045022904,0.052728526,0.0031790046,0.09482796],"study_design_scores_gemma":[0.000010630998,0.00012909874,0.08587002,0.00015436865,0.000012451236,0.0014467599,0.8638415,0.0007706555,0.0005839791,0.004840081,0.0423102,0.000030277013],"about_ca_topic_score_codex":0.010230378,"about_ca_topic_score_gemma":0.01996268,"teacher_disagreement_score":0.010230378,"about_ca_system_score_codex":0.002985566,"about_ca_system_score_gemma":0.003332501,"threshold_uncertainty_score":0.02941358},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99143875,0.00004300782,0.0035293566,0.00006595114,0.000016927821,0.000034530152,0.0017699621,0.00040747135,0.002694034],"genre_scores_gemma":[0.9970957,0.000021781361,0.0016853746,0.00001341761,0.0000014990818,0.000028452552,0.0007451957,0.00002269515,0.0003860049],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999908,0.00002022586,0.0000045701095,0.000024368583,0.000016820215,0.000026148013],"domain_scores_gemma":[0.99984515,0.000055697004,0.000019300574,0.000014056217,0.000049469956,0.000016301998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031913817,0.00064312026,0.00042717776,0.00023909436,0.00022056766,0.0003492694,0.000694234,0.0006810725,0.0011891513],"category_scores_gemma":[0.0003954624,0.0002121522,0.00058127585,0.00037386655,0.0002342095,0.00031656394,0.00019514331,0.00038226257,0.00013821968],"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":[0.00011351967,0.00007595968,0.0048418157,0.000034893084,0.00002464216,0.000065738874,0.000025129382,0.98576087,0.0062763602,0.0002355956,0.00047693236,0.002068609],"study_design_scores_gemma":[0.000053678574,0.00005790492,0.0037622182,0.0000022304578,0.000010975347,0.000004688753,0.000016212098,0.9936971,0.0020307144,0.00007275708,0.00028199606,0.000009494359],"about_ca_topic_score_codex":0.066402525,"about_ca_topic_score_gemma":0.041090567,"teacher_disagreement_score":0.066402525,"about_ca_system_score_codex":0.0010756678,"about_ca_system_score_gemma":0.00074062985,"threshold_uncertainty_score":0.13203204},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99945563,0.00006642398,0.000055353314,0.000019365849,0.000001918933,0.000001636627,0.00010506607,0.0000025049146,0.00029214122],"genre_scores_gemma":[0.9996661,0.000047397778,0.000056460496,0.0000058458854,0.0000019104873,0.000002393018,0.00015457161,9.55646e-7,0.000064396394],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979585,0.000038848615,0.000016198452,0.000057616107,0.000033599004,0.000057872563],"domain_scores_gemma":[0.99942124,0.0001062098,0.00023112055,0.00004112328,0.00008486798,0.00011552199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004492182,0.00025273988,0.00017487834,0.00049962907,0.0004034727,0.0004223013,0.00016565372,0.00020295793,0.00064797234],"category_scores_gemma":[0.0005730611,0.00011935966,0.0005055117,0.0005237018,0.00034140144,0.0003450181,0.0004611533,0.00021659175,0.00006337595],"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":[0.000101100806,0.000020004381,0.99021953,0.000023908386,0.00005474663,0.00015101246,0.00037183493,0.0018404645,0.003199807,0.00011339817,0.00012336695,0.0037808584],"study_design_scores_gemma":[0.0000011143536,0.000007940011,0.9991786,0.0000015119016,0.000007521245,0.0000147551655,0.000114288036,0.00045465864,0.00009598463,0.000019614365,0.00010174454,0.000002295205],"about_ca_topic_score_codex":0.03261605,"about_ca_topic_score_gemma":0.06364191,"teacher_disagreement_score":0.03261605,"about_ca_system_score_codex":0.00068398786,"about_ca_system_score_gemma":0.00054356107,"threshold_uncertainty_score":0.06485242},"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":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0054217344,0.00058104924,0.9675165,0.0015833572,0.00022116929,0.00036333626,0.000085959255,0.0011574536,0.023069404],"genre_scores_gemma":[0.1495588,0.0019213278,0.8225643,0.0010493245,0.00024184321,0.00084325846,0.0005597651,0.00034806944,0.022913251],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982583,0.00037857768,0.00015012907,0.00030710094,0.00067895144,0.00022690312],"domain_scores_gemma":[0.9987288,0.0002679622,0.00011385689,0.0003387956,0.0003623026,0.00018836172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002347277,0.0008396187,0.000599413,0.0011437774,0.0015345424,0.006774052,0.0030432642,0.0026538621,0.004505458],"category_scores_gemma":[0.0028209933,0.00073067675,0.0011700055,0.00121744,0.0016115054,0.008015125,0.0053164978,0.0027452607,0.002380701],"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":[0.00014356629,0.00023138216,0.0010451878,0.00054973416,0.000095913245,0.0013073237,0.0017244811,0.040460292,0.022905603,0.76976657,0.012659603,0.14911027],"study_design_scores_gemma":[0.00008086752,0.00032196817,0.00053265423,0.00037339845,0.00011688938,0.00091913453,0.0011072677,0.25213274,0.018334137,0.33824715,0.38771853,0.00011520819],"about_ca_topic_score_codex":0.0019436632,"about_ca_topic_score_gemma":0.0018369833,"teacher_disagreement_score":0.006774052,"about_ca_system_score_codex":0.0010697886,"about_ca_system_score_gemma":0.0028104137,"threshold_uncertainty_score":0.0150722265},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985071,0.0006988304,0.0003214508,0.000073893556,0.000031346804,0.000018766435,0.00010053675,0.0000146877765,0.00023337494],"genre_scores_gemma":[0.99399865,0.0010587932,0.0019032914,0.00015175296,0.000020089576,0.00004870228,0.00034195575,0.000015781125,0.0024610134],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983156,0.00002355655,0.000016806744,0.00005129198,0.000035573536,0.00004126177],"domain_scores_gemma":[0.99984825,0.000019319416,0.000041425617,0.000011973994,0.000018540131,0.000060326474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002401066,0.0004871552,0.0006670077,0.00038639165,0.00018846095,0.00036069454,0.0002918947,0.0004998537,0.00084204157],"category_scores_gemma":[0.00018714175,0.00021218174,0.0004085871,0.00015831631,0.00024720718,0.00043472063,0.00028390015,0.000901735,0.00013534722],"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":[0.0021424468,0.00058989454,0.000728582,0.000117590644,0.000027268108,0.00007418888,0.000035797886,0.000041794017,0.9927695,0.000017853707,0.000035219742,0.0034200307],"study_design_scores_gemma":[0.00042906468,0.06093123,0.11701317,0.000121405756,0.00055094674,0.00038319328,0.00043061585,0.0013647109,0.8125947,0.00013666194,0.005987864,0.000056389134],"about_ca_topic_score_codex":0.0009834971,"about_ca_topic_score_gemma":0.0021685255,"teacher_disagreement_score":0.0009834971,"about_ca_system_score_codex":0.00024962565,"about_ca_system_score_gemma":0.00023439314,"threshold_uncertainty_score":0.0028169155},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995047,0.000045992616,0.00016901217,0.0000035825321,8.5228146e-7,0.0000023949806,0.000058631387,0.000006519247,0.00020827488],"genre_scores_gemma":[0.9986077,0.000048848662,0.00039635546,0.000021630125,8.846294e-7,0.000006135084,0.00035643057,0.0000074947434,0.0005545178],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999948,0.000006389539,0.0000047888125,0.000017148874,0.000012049112,0.000011672922],"domain_scores_gemma":[0.99990356,0.000011798803,0.000023499455,0.000008122162,0.000009502964,0.000043506432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000066296234,0.00018927042,0.00010850655,0.0001932233,0.0001317649,0.00020185826,0.00013687155,0.000117656266,0.00054098683],"category_scores_gemma":[0.00011052177,0.00013661389,0.00014109524,0.00009298938,0.000104738756,0.00012657569,0.00021632285,0.00022757651,0.00011139286],"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":[0.00012784687,0.000017104156,0.011408085,0.000018224739,0.000005098662,0.00010538746,0.000075339296,0.000037312162,0.98573154,0.000033697284,0.000014837422,0.002425497],"study_design_scores_gemma":[0.000015118118,0.00076851744,0.93234205,0.00000546211,0.000018275503,0.0004935426,0.00016399243,0.00044191818,0.064716816,0.000054063028,0.0009696508,0.0000106545185],"about_ca_topic_score_codex":0.0028691606,"about_ca_topic_score_gemma":0.0072400398,"teacher_disagreement_score":0.0028691606,"about_ca_system_score_codex":0.00029643916,"about_ca_system_score_gemma":0.00011714298,"threshold_uncertainty_score":0.005704999},"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":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15463409,0.0009615063,0.84020066,0.00026780623,0.00006118339,0.00009044889,0.00022815962,0.0019745128,0.0015816098],"genre_scores_gemma":[0.8290822,0.00025860887,0.16771631,0.00017329391,0.00006470817,0.0001623781,0.0005022667,0.000075381875,0.0019647798],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996468,0.00008497664,0.000020957907,0.000116289724,0.00006700616,0.000063965184],"domain_scores_gemma":[0.999549,0.00021445927,0.00005203554,0.000017743076,0.00014022208,0.00002647283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009254264,0.00097101444,0.0011667412,0.000948193,0.00030890535,0.00064292445,0.0012480393,0.0009398856,0.0008364338],"category_scores_gemma":[0.0011263668,0.00039265087,0.0012031707,0.0006684592,0.00023188112,0.0006550998,0.000384771,0.0006536729,0.0002739658],"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":[0.000064630614,0.00007864453,0.002903497,0.000034071676,0.000092302784,0.000058636426,0.00002000512,0.9286391,0.0014739629,0.0005832464,0.0006653334,0.065386504],"study_design_scores_gemma":[0.0000018945113,0.0000075632956,0.00013391925,8.7152216e-7,0.000003689731,0.0000025119318,0.0000016934354,0.9996486,0.00007550637,0.00008819258,0.00003410662,0.0000014254297],"about_ca_topic_score_codex":0.03514487,"about_ca_topic_score_gemma":0.022049887,"teacher_disagreement_score":0.03514487,"about_ca_system_score_codex":0.0006020287,"about_ca_system_score_gemma":0.0014376609,"threshold_uncertainty_score":0.069880605},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7473164,0.0012593399,0.24847089,0.000103366154,0.00004627262,0.000053576732,0.00023632987,0.0006825589,0.0018312699],"genre_scores_gemma":[0.79641384,0.00085267384,0.20097558,0.000068224115,0.000015034604,0.0000484865,0.00019623328,0.000038301514,0.0013915868],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998399,0.000019494486,0.000007888257,0.00006142434,0.00005548592,0.000015729856],"domain_scores_gemma":[0.9998023,0.0000714168,0.00004511905,0.000015456932,0.000056214576,0.000009411634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003800997,0.00048602765,0.00029546992,0.0010944335,0.0001520378,0.0004714812,0.00023968867,0.00051366753,0.0005009099],"category_scores_gemma":[0.00040141004,0.00021600336,0.00034274734,0.00056678767,0.00028777256,0.00047146282,0.0001773884,0.00034560077,0.00021250344],"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":[0.00021622115,0.00004983417,0.0049055014,0.00015661385,0.000038568254,0.00012705046,0.00008291951,0.0021388833,0.91953874,0.0001987615,0.00018466367,0.07236218],"study_design_scores_gemma":[0.000016653286,0.0002920947,0.064321004,0.000025303832,0.00013490043,0.000764365,0.00019942447,0.12706885,0.80437213,0.0004640939,0.0022812546,0.000059916132],"about_ca_topic_score_codex":0.0009190658,"about_ca_topic_score_gemma":0.0018332632,"teacher_disagreement_score":0.0010944335,"about_ca_system_score_codex":0.00020192776,"about_ca_system_score_gemma":0.00014355482,"threshold_uncertainty_score":0.0020101666},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25900766,0.0004962231,0.7361314,0.0000952452,0.00007961914,0.00014416504,0.00093712826,0.0015558038,0.0015526763],"genre_scores_gemma":[0.6542308,0.0005123222,0.3421612,0.000058349186,0.000032665655,0.00016125021,0.0017454239,0.00011759587,0.0009803427],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999297,0.000068956906,0.000040348914,0.00018284722,0.00030110552,0.000109604116],"domain_scores_gemma":[0.9995571,0.00007305944,0.00006797598,0.00006037889,0.0002132691,0.000028297613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040136473,0.00081368943,0.0005249923,0.0024825293,0.00042388274,0.00080605753,0.0006753175,0.0007061983,0.0010372956],"category_scores_gemma":[0.0011109028,0.00045411175,0.0007698393,0.0017619595,0.00032020942,0.000694363,0.0008689711,0.0005482069,0.00052428315],"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":[0.0004926781,0.0001431283,0.03883517,0.0005739652,0.0001381056,0.000536163,0.00079827505,0.046529874,0.4261103,0.0027374304,0.0031910045,0.4799139],"study_design_scores_gemma":[0.000041419833,0.00028649624,0.11578557,0.000113473514,0.00013704629,0.00091526663,0.0010275601,0.68744886,0.18546647,0.002198653,0.0063943826,0.00018475023],"about_ca_topic_score_codex":0.0057366453,"about_ca_topic_score_gemma":0.006283929,"teacher_disagreement_score":0.0057366453,"about_ca_system_score_codex":0.00033378787,"about_ca_system_score_gemma":0.000640791,"threshold_uncertainty_score":0.011406541},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012597963,0.9974164,0.00012640981,0.00023368807,0.00005931934,0.000013254149,0.00004948939,0.0000028692166,0.00083874323],"genre_scores_gemma":[0.0057392176,0.99371237,0.0002441409,0.00009974911,0.000036523525,0.000007950217,0.000028960954,0.0000010230202,0.00013004639],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9996013,0.00007314814,0.000105429004,0.00006258196,0.00012882343,0.00002867901],"domain_scores_gemma":[0.998271,0.001128725,0.000284012,0.000018550878,0.00025581795,0.00004180728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009449471,0.0006355161,0.0012924906,0.0035166661,0.00034189265,0.0014938022,0.00064597983,0.0008942509,0.0022039928],"category_scores_gemma":[0.0016761993,0.00036404896,0.0012216206,0.004137458,0.0003814488,0.0015278806,0.00043134688,0.00068115944,0.0002478574],"study_design_candidate":"systematic_review","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":[0.00017222321,0.00019455608,0.0015737469,0.22360983,0.0007155954,0.00050408597,0.0005682564,0.0012049329,0.0038101482,0.0034261958,0.008359159,0.7558613],"study_design_scores_gemma":[0.000039636925,0.0012054883,0.014466576,0.079378486,0.004051309,0.0026604757,0.0014152039,0.0008900801,0.0049818647,0.0024478757,0.8883499,0.00011296722],"about_ca_topic_score_codex":0.0042439317,"about_ca_topic_score_gemma":0.0071755024,"teacher_disagreement_score":0.0042439317,"about_ca_system_score_codex":0.0006641368,"about_ca_system_score_gemma":0.0023169576,"threshold_uncertainty_score":0.008438468},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31524378,0.0009602604,0.6789843,0.00028108267,0.00011080988,0.00015767489,0.000907433,0.0014827754,0.0018718565],"genre_scores_gemma":[0.9460214,0.00029255336,0.05133057,0.000054743778,0.000018283574,0.00027872119,0.00083806715,0.000044383713,0.0011212621],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997789,0.000043066593,0.000022334305,0.00006904782,0.00005848522,0.000028207583],"domain_scores_gemma":[0.999373,0.00031418377,0.00006944976,0.00002428865,0.00019791488,0.000021179483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084394455,0.0010533234,0.00072873104,0.00053475023,0.00024774138,0.0008203787,0.0010301473,0.0010619764,0.0005231213],"category_scores_gemma":[0.0016942419,0.0005784781,0.00093464064,0.0003916449,0.0002045073,0.0007455137,0.0004258296,0.0010758204,0.00025005036],"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":[0.00010851026,0.00009624614,0.0032916414,0.00012341335,0.0000916742,0.00006309995,0.000032847718,0.96970135,0.0053771962,0.00045508766,0.00022880234,0.02043018],"study_design_scores_gemma":[0.0000028555194,0.000016530743,0.00028721773,0.0000030209578,0.000006417289,0.0000040441773,0.000003600875,0.99816835,0.0012529389,0.00014374648,0.00010671864,0.000004467238],"about_ca_topic_score_codex":0.010071496,"about_ca_topic_score_gemma":0.008684676,"teacher_disagreement_score":0.010071496,"about_ca_system_score_codex":0.000675602,"about_ca_system_score_gemma":0.0011091649,"threshold_uncertainty_score":0.02002573},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987948,0.0002802399,0.00041941364,0.000021077509,0.000008663781,0.000012232055,0.00014658316,0.000021725893,0.0002952016],"genre_scores_gemma":[0.9971739,0.00026973546,0.0013106071,0.00005290518,0.000007518879,0.000042489104,0.00041942723,0.000024225821,0.0006992377],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997334,0.00003434689,0.000028072816,0.00009649613,0.0000677618,0.000039864604],"domain_scores_gemma":[0.9997167,0.00007122338,0.0000885829,0.000018517565,0.000053488217,0.000051513925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003186715,0.00035266866,0.00042308102,0.00024045915,0.0002507269,0.00042092896,0.00027065122,0.00020598697,0.000516995],"category_scores_gemma":[0.00044206064,0.00011905208,0.00034754325,0.00031651024,0.00019699933,0.00041761168,0.00023642373,0.00056594313,0.000063404],"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":[0.0009801933,0.0002527144,0.01819189,0.00018259083,0.00008657202,0.00012440397,0.00011888792,0.0013883726,0.9642854,0.00005531597,0.00018879697,0.01414486],"study_design_scores_gemma":[0.00008991709,0.004415139,0.65110064,0.000033203305,0.00029164023,0.00018622071,0.0002986477,0.010187815,0.3277169,0.00019873556,0.005393789,0.00008733568],"about_ca_topic_score_codex":0.005733024,"about_ca_topic_score_gemma":0.0070877722,"teacher_disagreement_score":0.005733024,"about_ca_system_score_codex":0.0005834136,"about_ca_system_score_gemma":0.0003636166,"threshold_uncertainty_score":0.011399269},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.966056,0.00065134367,0.027930215,0.000121002755,0.0000638138,0.00009455229,0.0026613397,0.00038994753,0.002031832],"genre_scores_gemma":[0.96427685,0.0002616151,0.03235643,0.000040222072,0.000028565762,0.000057553127,0.0025649054,0.000021117197,0.00039268247],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996189,0.00011524571,0.000030131983,0.00009507477,0.000082575454,0.000058051788],"domain_scores_gemma":[0.99965847,0.00008273812,0.0000705656,0.00004134711,0.00011781415,0.000029004588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006727653,0.000656773,0.00050465716,0.0014200108,0.00015128654,0.000452093,0.00034174338,0.00030251822,0.00045910387],"category_scores_gemma":[0.00083680806,0.00023706569,0.00050517864,0.0015052754,0.00008497943,0.0005975723,0.00043247704,0.00020542035,0.00015802885],"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":[0.00073054613,0.00047754927,0.46248186,0.000719286,0.0006926716,0.0012845963,0.0005507457,0.16935645,0.10634984,0.0006972526,0.005272754,0.25138646],"study_design_scores_gemma":[0.000050720253,0.00023143525,0.38272318,0.00006585024,0.0002725294,0.00022987358,0.0008389923,0.5981593,0.012563998,0.00066817645,0.004109487,0.00008641878],"about_ca_topic_score_codex":0.009649917,"about_ca_topic_score_gemma":0.017539317,"teacher_disagreement_score":0.009649917,"about_ca_system_score_codex":0.00033139897,"about_ca_system_score_gemma":0.00036389503,"threshold_uncertainty_score":0.01918745},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999323,0.000072214214,0.00008429615,0.000020081776,0.0000013252492,0.0000030178028,0.000045163015,0.0000027851245,0.00044821663],"genre_scores_gemma":[0.99978167,0.000038389357,0.00004180878,0.000003257231,0.0000016247209,0.0000013999546,0.000048032936,7.0814434e-7,0.0000831118],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997404,0.00006380514,0.000025941366,0.000048847858,0.000061037405,0.00005990812],"domain_scores_gemma":[0.99963164,0.000062321444,0.00014827796,0.000026968732,0.000066197485,0.0000645573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024150641,0.00016579135,0.00019477692,0.0006706716,0.00034425635,0.0006676074,0.00018417947,0.00012906716,0.0013597272],"category_scores_gemma":[0.00073198247,0.000093287446,0.00034480242,0.0012037571,0.0004957984,0.0003670431,0.0005044244,0.00014961725,0.00006291361],"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":[0.000094647425,0.000052341147,0.9802594,0.000031537093,0.00013103402,0.00075120135,0.00072970206,0.0022151726,0.0029025502,0.00029158074,0.00013653075,0.012404408],"study_design_scores_gemma":[0.0000014212892,0.000023723216,0.9979557,0.000004326091,0.000013631818,0.000049520582,0.00065151404,0.0010037717,0.000073604766,0.000048769394,0.00017139736,0.0000027083117],"about_ca_topic_score_codex":0.025391405,"about_ca_topic_score_gemma":0.04888527,"teacher_disagreement_score":0.025391405,"about_ca_system_score_codex":0.00077127083,"about_ca_system_score_gemma":0.00043565157,"threshold_uncertainty_score":0.05048722},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9639951,0.00029135984,0.03428574,0.00006804943,0.0000125259785,0.000034524997,0.00023812367,0.0003404607,0.00073412963],"genre_scores_gemma":[0.98916936,0.000056778666,0.0099404035,0.000016039263,0.0000066262555,0.000030827636,0.00038052292,0.00000629469,0.00039324694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997445,0.00006072297,0.000027962456,0.00007659649,0.000042046133,0.00004815976],"domain_scores_gemma":[0.99876106,0.00073518854,0.00015447999,0.00007116785,0.00023606638,0.00004204208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012405408,0.0007993307,0.00047663378,0.0009230302,0.0002116029,0.00040057802,0.0005558748,0.0005023307,0.0004130575],"category_scores_gemma":[0.0021384675,0.00018923018,0.00049508153,0.0005034997,0.00016553135,0.00033579994,0.00030021166,0.00038262203,0.00012463078],"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":[0.0002430178,0.00022526264,0.032170407,0.00003057412,0.00006784038,0.00006762263,0.000028274604,0.894591,0.0019288823,0.00016360878,0.0005106657,0.069972865],"study_design_scores_gemma":[0.0000034105567,0.00002823039,0.0028521665,0.0000018736064,0.000004206755,0.000005163183,0.000005471991,0.99666923,0.00034486706,0.000055193093,0.000028158385,0.000002041538],"about_ca_topic_score_codex":0.018481134,"about_ca_topic_score_gemma":0.011850726,"teacher_disagreement_score":0.018481134,"about_ca_system_score_codex":0.0006179367,"about_ca_system_score_gemma":0.00074683025,"threshold_uncertainty_score":0.036747098},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995709,0.000042712658,0.00012151863,0.0000058078876,0.0000012588355,0.000001979886,0.00007369388,0.0000054041893,0.00017668502],"genre_scores_gemma":[0.99951553,0.000023076715,0.00011008938,0.000014835034,0.0000012765731,0.000003407736,0.00014797342,0.0000071425698,0.0001765366],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997949,0.000037369005,0.000015511367,0.000084820575,0.000038627728,0.000028866452],"domain_scores_gemma":[0.9997136,0.000056072528,0.00008780455,0.000033970806,0.000042492273,0.000065916654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020989649,0.000171757,0.0002975565,0.00055171456,0.00032799618,0.0004880634,0.00013576148,0.00018983684,0.0006765098],"category_scores_gemma":[0.00033075825,0.00019909217,0.00023831414,0.00039844753,0.00029594556,0.00018405903,0.00047972394,0.0002856056,0.000104804596],"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":[0.00048013634,0.00010522335,0.4110294,0.000063067186,0.00017101195,0.00018819138,0.0010905839,0.00037729758,0.57963085,0.00023043853,0.00013168533,0.006502034],"study_design_scores_gemma":[0.0000018629004,0.00002804521,0.9978629,0.0000021464396,0.000007027824,0.000050574716,0.000121238234,0.00023068799,0.0015195498,0.000034149885,0.00013746493,0.0000044155804],"about_ca_topic_score_codex":0.003565862,"about_ca_topic_score_gemma":0.0069315084,"teacher_disagreement_score":0.003565862,"about_ca_system_score_codex":0.00035657914,"about_ca_system_score_gemma":0.0001424237,"threshold_uncertainty_score":0.007090211},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41627705,0.38969675,0.15512103,0.0047555515,0.0013282824,0.0002591499,0.0013837504,0.0012728804,0.029905587],"genre_scores_gemma":[0.7050074,0.19502275,0.0875076,0.0013761686,0.00018560742,0.00017441358,0.000830313,0.000114901464,0.0097809],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99984086,0.000033469714,0.0000149522875,0.000041012798,0.00004502356,0.000024709258],"domain_scores_gemma":[0.9998971,0.000037457965,0.000027552107,0.000008829796,0.000016433452,0.000012622216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039249202,0.00036560796,0.00040718474,0.00033600538,0.00017354182,0.00077968586,0.0003842104,0.00069769396,0.0012326045],"category_scores_gemma":[0.00033846937,0.00015277039,0.00049014087,0.0002128293,0.00031910866,0.00046846562,0.00033354005,0.0007670767,0.00039837844],"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":[0.00013333355,0.000056470817,0.00044356188,0.0022182865,0.00008277889,0.00036915776,0.000101941616,0.0013293748,0.9102364,0.005045726,0.00079833454,0.07918445],"study_design_scores_gemma":[0.00008290153,0.0018360483,0.004732355,0.0005892668,0.00041870362,0.00207583,0.00035824516,0.004692806,0.6982003,0.006778272,0.28013915,0.00009613565],"about_ca_topic_score_codex":0.00027266835,"about_ca_topic_score_gemma":0.00063136977,"teacher_disagreement_score":0.0012326045,"about_ca_system_score_codex":0.00024066695,"about_ca_system_score_gemma":0.00029021563,"threshold_uncertainty_score":0.0041234493},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998667,0.000023614783,0.000034611818,0.0000035247633,0.0000020281957,0.000003872218,0.000012937624,9.581003e-7,0.000051742696],"genre_scores_gemma":[0.9978967,0.00009223253,0.00045542585,0.00004093594,0.000005847621,0.000028669721,0.00017429984,0.000004237859,0.0013016321],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980205,0.00004059825,0.000012950711,0.00006068953,0.000035313533,0.00004843083],"domain_scores_gemma":[0.99969435,0.00004592577,0.0000783669,0.00002372594,0.000029178836,0.00012837906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036278125,0.00041269523,0.000559134,0.0003118817,0.0002567466,0.0003161227,0.00015341911,0.0002838544,0.0011008625],"category_scores_gemma":[0.00026294083,0.0002615564,0.00029487922,0.00016177501,0.0003275,0.00034447596,0.00021509641,0.00056315045,0.0002438696],"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":[0.014225768,0.0031386015,0.02127631,0.000072497605,0.000078168894,0.00019314134,0.0002521622,0.00007782999,0.9535186,0.00003143045,0.00005306532,0.00708232],"study_design_scores_gemma":[0.0003937324,0.060985222,0.83441967,0.000026201344,0.00023151214,0.00051175384,0.00092324306,0.00091465906,0.10025029,0.00005303514,0.0012449817,0.000045642122],"about_ca_topic_score_codex":0.0011211386,"about_ca_topic_score_gemma":0.0023982557,"teacher_disagreement_score":0.0011211386,"about_ca_system_score_codex":0.00018303747,"about_ca_system_score_gemma":0.00018987141,"threshold_uncertainty_score":0.0036827922},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987362,0.0000854203,0.00026554515,0.000011738848,0.0000036045662,0.0000046861064,0.0007509611,0.0000073588076,0.00013452632],"genre_scores_gemma":[0.9976222,0.00005266427,0.00043401684,0.000018460541,0.0000037366735,0.000013307703,0.0014588367,0.000009507439,0.00038729768],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996468,0.00006785514,0.000020350892,0.00019030625,0.000026885678,0.000047719244],"domain_scores_gemma":[0.9997181,0.000057813893,0.000063322645,0.000051082123,0.000031148516,0.0000786158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052360096,0.0003401197,0.0003366532,0.0004906654,0.00030955955,0.00035378567,0.00021073612,0.0003062676,0.0013185781],"category_scores_gemma":[0.00033663638,0.0001687887,0.0006277179,0.0009287149,0.00015533181,0.00010732061,0.00032311442,0.00039216626,0.00021091926],"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":[0.0017531931,0.00014043192,0.9460381,0.00004800381,0.0012345711,0.00049080246,0.0004258801,0.0003057566,0.04109619,0.000097774166,0.0005486805,0.007820609],"study_design_scores_gemma":[0.000024831945,0.00009135777,0.9982503,0.0000035860262,0.00025107613,0.00014091485,0.000089072266,0.00035536758,0.00038954153,0.00001944027,0.0003796191,0.000004810409],"about_ca_topic_score_codex":0.0046440405,"about_ca_topic_score_gemma":0.008752671,"teacher_disagreement_score":0.0046440405,"about_ca_system_score_codex":0.00018496842,"about_ca_system_score_gemma":0.00015418686,"threshold_uncertainty_score":0.009234011},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14355919,0.0013254945,0.84740895,0.00037786283,0.00022189124,0.00008947809,0.00078979164,0.0029197528,0.0033076347],"genre_scores_gemma":[0.77695894,0.0007859776,0.21061337,0.00018254832,0.00008885426,0.00012609747,0.0023365393,0.000094280746,0.008813552],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998067,0.00001981518,0.000012696066,0.00006720761,0.000051157243,0.00004242177],"domain_scores_gemma":[0.99985504,0.000033905762,0.000018790675,0.000015167399,0.000068278074,0.000008756202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046976932,0.00083880627,0.00045979655,0.0008251592,0.00027898155,0.00034923461,0.0008573087,0.000552829,0.0009834043],"category_scores_gemma":[0.00064506463,0.00029737357,0.0007390347,0.00079156505,0.00019604707,0.00055043475,0.0004307749,0.00082953117,0.00035433297],"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":[0.0002838771,0.00021243961,0.006235896,0.000091897484,0.00022108917,0.00018723858,0.0000771453,0.3757453,0.019581154,0.0019057797,0.005491832,0.58996636],"study_design_scores_gemma":[0.0000040066607,0.00001756853,0.0011414506,0.0000036221816,0.000014849427,0.000017589336,0.000008039142,0.9956709,0.0023588762,0.00032006425,0.00043745592,0.000005481858],"about_ca_topic_score_codex":0.024426436,"about_ca_topic_score_gemma":0.025547087,"teacher_disagreement_score":0.024426436,"about_ca_system_score_codex":0.00060852495,"about_ca_system_score_gemma":0.00091875583,"threshold_uncertainty_score":0.048568487},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999297,0.00024509348,0.000089968664,0.000011096448,0.000010443731,0.000015606263,0.00007501451,0.000010610523,0.00024507171],"genre_scores_gemma":[0.99781585,0.0002918174,0.00080564804,0.000022433655,0.0000043343584,0.000020332049,0.00022474416,0.000008118046,0.00080682983],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983597,0.000033606088,0.000027789205,0.000034656463,0.000031613836,0.000036380847],"domain_scores_gemma":[0.99969256,0.000047823985,0.00007174207,0.000018826382,0.000036019104,0.00013308103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013823023,0.0005886638,0.0005182148,0.0002708758,0.00019519764,0.000528144,0.00031113037,0.00032406088,0.000820308],"category_scores_gemma":[0.00022633444,0.0002628323,0.00024817354,0.00021176659,0.00020671044,0.00019964839,0.00031607688,0.0004966259,0.00017461857],"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":[0.00071965094,0.00018549422,0.00075981766,0.000092067,0.000014908796,0.000060960203,0.000032822525,0.0000822058,0.9967501,0.00001289319,0.000010903973,0.0012781366],"study_design_scores_gemma":[0.000082458944,0.00848653,0.049846962,0.000042087,0.00012759549,0.00020318985,0.00034786243,0.00076006446,0.93859255,0.00003004339,0.0014436617,0.000036955622],"about_ca_topic_score_codex":0.0021958682,"about_ca_topic_score_gemma":0.0050807605,"teacher_disagreement_score":0.0021958682,"about_ca_system_score_codex":0.00022446517,"about_ca_system_score_gemma":0.00040120518,"threshold_uncertainty_score":0.004366219},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995096,0.00015322457,0.00007589536,0.000028455712,0.000009843677,0.0000054512816,0.000024303044,0.0000032889716,0.00018992097],"genre_scores_gemma":[0.9983424,0.0002289497,0.00035589995,0.00006793639,0.00001645394,0.000013653653,0.00006570926,0.0000051699326,0.00090376055],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984145,0.000055006036,0.000011601796,0.00003537091,0.000025180669,0.000031404146],"domain_scores_gemma":[0.9993389,0.00018526967,0.00018020842,0.00004195951,0.000045854576,0.00020777062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003277708,0.00031741738,0.00021423983,0.0001628109,0.0001519384,0.000238828,0.00019138987,0.0002518321,0.0008619028],"category_scores_gemma":[0.0007267271,0.00014679799,0.00014533348,0.000082756625,0.00029365267,0.00019629247,0.00020824396,0.00028422812,0.000120105324],"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":[0.045475576,0.0025269454,0.05077554,0.00032392333,0.00020851965,0.0004724775,0.0002618622,0.0003706236,0.8687057,0.00008659577,0.00018704527,0.030605145],"study_design_scores_gemma":[0.0011159615,0.12298958,0.6515318,0.0000722215,0.0004316631,0.0006454462,0.00059533754,0.0018448097,0.21749412,0.00034297537,0.0028909422,0.00004512176],"about_ca_topic_score_codex":0.0010965791,"about_ca_topic_score_gemma":0.0026803724,"teacher_disagreement_score":0.0010965791,"about_ca_system_score_codex":0.00024052705,"about_ca_system_score_gemma":0.0002631746,"threshold_uncertainty_score":0.0028833747},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0832053,0.00011802098,0.911354,0.00008660759,0.00002326288,0.00007670929,0.000071056085,0.0014577622,0.0036072838],"genre_scores_gemma":[0.47980255,0.00008511262,0.51538223,0.00003173918,0.0000072737907,0.00010405347,0.00019167221,0.00010826548,0.004287064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987423,0.000017194048,0.0000040728983,0.00003712123,0.000043584805,0.00002375036],"domain_scores_gemma":[0.9998672,0.000043568412,0.000023185597,0.000022893284,0.000028318676,0.000014750232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014685847,0.000587117,0.0003571975,0.00044235424,0.0003724392,0.0002958468,0.00058244355,0.00045612286,0.0018829816],"category_scores_gemma":[0.0003563051,0.00027575958,0.00040512398,0.00037426682,0.00026549847,0.00047002107,0.0005600503,0.0003920416,0.00035245743],"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":[0.00015889398,0.000081460465,0.0014228991,0.00006676235,0.000032766995,0.00014976658,0.00016691393,0.73918235,0.026979847,0.003874309,0.0016716204,0.22621243],"study_design_scores_gemma":[0.0000097181855,0.00005029581,0.00032365127,0.0000022990837,0.0000045416186,0.00004525114,0.00002049487,0.99480647,0.002872396,0.000766015,0.0010912454,0.000007621347],"about_ca_topic_score_codex":0.006954678,"about_ca_topic_score_gemma":0.009743113,"teacher_disagreement_score":0.006954678,"about_ca_system_score_codex":0.00045916255,"about_ca_system_score_gemma":0.0010285361,"threshold_uncertainty_score":0.013828397},"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":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00093201007,0.30050588,0.0014373383,0.28966326,0.2294266,0.000044546305,0.00015040474,0.00016523455,0.17767479],"genre_scores_gemma":[0.020146834,0.28396896,0.0012465467,0.15249206,0.30261698,0.000073931136,0.00024773326,0.000196465,0.2390105],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978886,0.0005599417,0.00013348562,0.00027954168,0.00087367825,0.00026483467],"domain_scores_gemma":[0.9974022,0.0011506535,0.00026135085,0.00015471359,0.0006161572,0.00041494262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013055626,0.00085489807,0.00063285336,0.0021641117,0.0023600736,0.009016222,0.0007306419,0.0055277627,0.026754586],"category_scores_gemma":[0.0039029447,0.00023712964,0.0005062478,0.0022168779,0.0030402725,0.008345946,0.0024006343,0.007544574,0.00825945],"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":[0.00001423986,0.000017687178,0.00020065924,0.00021930007,0.000007185904,0.00006542325,0.00019787413,0.000040380433,0.00014344176,0.03704798,0.9054624,0.056583527],"study_design_scores_gemma":[0.0000012787367,0.000012669181,0.00025860008,0.0001846958,0.0000031817333,0.000100038844,0.00010439862,0.000027178767,0.000048016103,0.005091978,0.994163,0.0000049204646],"about_ca_topic_score_codex":0.0019181927,"about_ca_topic_score_gemma":0.0035128167,"teacher_disagreement_score":0.026754586,"about_ca_system_score_codex":0.0015738193,"about_ca_system_score_gemma":0.0021734703,"threshold_uncertainty_score":0.08950299},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.737096,0.20055889,0.036857408,0.0032615482,0.00020525992,0.00021410338,0.0020318949,0.00022173178,0.019553239],"genre_scores_gemma":[0.8451741,0.1052955,0.04082028,0.0009633994,0.00015742984,0.00009970784,0.0014298032,0.000027278527,0.0060324804],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99976367,0.00005883862,0.000015642734,0.0000820574,0.000045328074,0.000034536042],"domain_scores_gemma":[0.99979085,0.00003980125,0.00008734962,0.000011540595,0.000034507648,0.00003591456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040765005,0.00031975366,0.00027543242,0.0007400252,0.000655309,0.0012039068,0.00029626483,0.00038700158,0.0009071952],"category_scores_gemma":[0.0002842769,0.00017439944,0.00019526857,0.0009835177,0.00045465233,0.00095156464,0.00091772876,0.00054234185,0.0001971758],"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":[0.0003545356,0.00013867972,0.116137795,0.006946278,0.00054682576,0.0024041948,0.005748408,0.0020505136,0.41226724,0.008508375,0.00395166,0.44094554],"study_design_scores_gemma":[0.000023715145,0.0007530206,0.7032453,0.0011601339,0.00045877486,0.003055521,0.006262402,0.0021933855,0.017145855,0.005519237,0.26007026,0.00011243592],"about_ca_topic_score_codex":0.0057084914,"about_ca_topic_score_gemma":0.013326478,"teacher_disagreement_score":0.0057084914,"about_ca_system_score_codex":0.00043974823,"about_ca_system_score_gemma":0.0007115656,"threshold_uncertainty_score":0.0113505125},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957659,0.00015208671,0.0014183688,0.00011439528,0.0000037034636,0.000029795581,0.00006188873,0.000012951877,0.0024408668],"genre_scores_gemma":[0.9984909,0.00007442761,0.0010784481,0.000015162155,0.0000029627613,0.000013566884,0.00004311489,0.0000012977583,0.0002799004],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995915,0.00015163106,0.00002614218,0.00006503262,0.0000838797,0.00008186711],"domain_scores_gemma":[0.9994555,0.00009164155,0.00021752989,0.00005945059,0.00009829426,0.00007759219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007619638,0.00015649214,0.00013626885,0.0006174669,0.00029495853,0.0004513614,0.00032760928,0.00014796652,0.0010196563],"category_scores_gemma":[0.0008668181,0.00006331258,0.00018889054,0.0006408866,0.00034131212,0.00065169914,0.00044305413,0.00009800983,0.00006461266],"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":[0.000048993476,0.00017197912,0.90103966,0.00010442755,0.00007637504,0.00018076238,0.00066186377,0.0051479437,0.010426102,0.0015522607,0.00045345773,0.08013613],"study_design_scores_gemma":[0.0000024107244,0.0000738536,0.99612516,0.000009124081,0.000011362936,0.000021412076,0.0003812226,0.0019330886,0.00030274256,0.0002888346,0.0008465875,0.000004289044],"about_ca_topic_score_codex":0.01019802,"about_ca_topic_score_gemma":0.04878328,"teacher_disagreement_score":0.01019802,"about_ca_system_score_codex":0.0007721364,"about_ca_system_score_gemma":0.0010781449,"threshold_uncertainty_score":0.020277321},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1393743,0.0012697062,0.8323822,0.00027181194,0.00012998802,0.00020803353,0.00088703877,0.017492369,0.007984549],"genre_scores_gemma":[0.7073619,0.0005776945,0.28360125,0.00025949438,0.000049743725,0.00019920238,0.0022194916,0.00019447229,0.0055367122],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957806,0.00005180294,0.000023296569,0.00017313538,0.00009884582,0.00007478942],"domain_scores_gemma":[0.9994887,0.00013768628,0.00006325049,0.00012617151,0.00015976031,0.000024380259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007710312,0.0011773815,0.0005074244,0.0009911734,0.00025218722,0.0007970257,0.0010709745,0.00064408296,0.0020888816],"category_scores_gemma":[0.0014433841,0.00032748436,0.0006207151,0.0005661403,0.00027752854,0.0010601969,0.00066472124,0.0008727825,0.0020210047],"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":[0.00024805084,0.00032131802,0.007110227,0.00027998287,0.00009936962,0.00015762426,0.000099662786,0.09016804,0.07241213,0.0019380341,0.0060769017,0.8210887],"study_design_scores_gemma":[0.000016577274,0.00011866868,0.0051261038,0.000032680793,0.000024554358,0.00009291487,0.00003310433,0.95190805,0.03571028,0.0030071505,0.003908955,0.000020899357],"about_ca_topic_score_codex":0.0062209475,"about_ca_topic_score_gemma":0.007668309,"teacher_disagreement_score":0.0062209475,"about_ca_system_score_codex":0.000676397,"about_ca_system_score_gemma":0.0009005913,"threshold_uncertainty_score":0.012369454},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999373,0.000008147449,0.00010581686,0.000025574927,0.000003652048,0.00006416043,0.000020583631,0.0000010649555,0.00039793784],"genre_scores_gemma":[0.9984194,0.00003397057,0.0005852063,0.00007331663,0.000007767941,0.00017081093,0.000038490358,0.0000015690106,0.00066953385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977829,0.001493404,0.00007051438,0.0002225122,0.00016102528,0.00026967895],"domain_scores_gemma":[0.9889298,0.0076006236,0.0014826808,0.00075807265,0.00030848678,0.00092022034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053820964,0.0005409775,0.0005906654,0.0004724327,0.0016193852,0.001631329,0.00060646026,0.00087109377,0.0033130052],"category_scores_gemma":[0.006103628,0.00047295785,0.00053490774,0.00034488656,0.001867839,0.0011093502,0.00081218395,0.0011108472,0.00032805934],"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":[0.049356665,0.28414106,0.5074342,0.00083397346,0.00087788905,0.0041691177,0.039378654,0.00903042,0.0479019,0.012006289,0.0024855062,0.04238435],"study_design_scores_gemma":[0.0069301706,0.114416055,0.77895576,0.0001585317,0.0006146085,0.00068393693,0.04571762,0.02180871,0.015617224,0.0065550553,0.008162603,0.00037974832],"about_ca_topic_score_codex":0.004999409,"about_ca_topic_score_gemma":0.007287628,"teacher_disagreement_score":0.0053820964,"about_ca_system_score_codex":0.0013985297,"about_ca_system_score_gemma":0.0012278815,"threshold_uncertainty_score":0.028463542},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956624,0.00014403784,0.000030084448,0.000057445413,0.0000033958065,0.0000024564902,0.00006744258,0.0000010280274,0.0040316675],"genre_scores_gemma":[0.9981862,0.00027858536,0.000088271925,0.000015295755,0.000006022019,0.0000033542078,0.00012874736,0.0000018290227,0.0012916477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976045,0.000029146087,0.000010915085,0.000050665043,0.000045385674,0.00010335787],"domain_scores_gemma":[0.9995413,0.000039110873,0.0001762372,0.000015127441,0.00014546108,0.000082752566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005053932,0.0001762287,0.00018339089,0.0012261933,0.001011193,0.0022403265,0.00016599936,0.00029700607,0.001870619],"category_scores_gemma":[0.0006297556,0.000103663755,0.00023349044,0.0022539233,0.00045183537,0.0007755817,0.000890281,0.00020681789,0.0001702051],"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":[0.0009807813,0.00013834483,0.914055,0.0002668954,0.00009233982,0.0028234555,0.02562979,0.0010415202,0.011907968,0.0035372414,0.0015465816,0.037979998],"study_design_scores_gemma":[0.000005501903,0.000181314,0.94079196,0.00003377303,0.000040614115,0.00019603597,0.050206076,0.0005599899,0.00074739585,0.000142111,0.0070702257,0.00002505783],"about_ca_topic_score_codex":0.03890675,"about_ca_topic_score_gemma":0.06444447,"teacher_disagreement_score":0.03890675,"about_ca_system_score_codex":0.0017853524,"about_ca_system_score_gemma":0.0008240085,"threshold_uncertainty_score":0.07736057},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8352349,0.00019057565,0.15875836,0.00018625065,0.000012422733,0.00027750738,0.00013709525,0.000079455116,0.0051234765],"genre_scores_gemma":[0.9808884,0.00008991167,0.018378362,0.000011353154,0.0000010415473,0.00012729835,0.000037116166,0.0000035459734,0.0004629779],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995499,0.00026040504,0.000020311327,0.000057810896,0.00006338437,0.000048159574],"domain_scores_gemma":[0.9989666,0.0007195837,0.00013862252,0.000042755484,0.00008585044,0.000046571986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011705116,0.0003698392,0.00034085542,0.00043872968,0.0002369685,0.000994774,0.0005017395,0.00045599695,0.0008044775],"category_scores_gemma":[0.0024188797,0.00017525593,0.00047291958,0.00030830308,0.00029072462,0.0006620908,0.0005864243,0.00032764082,0.000058632006],"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":[0.00005294285,0.00006729699,0.004862815,0.00005684545,0.00004006617,0.00003679965,0.00007235367,0.9836732,0.0019210395,0.0022625236,0.000056228368,0.0068979217],"study_design_scores_gemma":[0.000012918612,0.00017084646,0.0023105124,0.00001017836,0.000023192666,0.0000073996484,0.00013148302,0.99385095,0.00093218265,0.002068402,0.00047147303,0.000010477397],"about_ca_topic_score_codex":0.0049055708,"about_ca_topic_score_gemma":0.005305661,"teacher_disagreement_score":0.0049055708,"about_ca_system_score_codex":0.0012621953,"about_ca_system_score_gemma":0.00093901425,"threshold_uncertainty_score":0.009754062},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98283386,0.00012927559,0.014433699,0.000027015918,0.000012069228,0.00004882215,0.00056682527,0.0009024401,0.0010460458],"genre_scores_gemma":[0.9711816,0.00010344385,0.02679326,0.000021630176,0.0000035947303,0.00002501265,0.0007144531,0.000033782588,0.0011232292],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998977,0.000007184289,0.0000040867094,0.000041023544,0.00003062952,0.000019398858],"domain_scores_gemma":[0.9998354,0.00002267631,0.000038568258,0.000014112547,0.00006858181,0.00002063251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016632925,0.00038264538,0.0002605593,0.0008418759,0.0002488915,0.00030913425,0.00033374203,0.00022289783,0.00080242305],"category_scores_gemma":[0.00019601568,0.000119320284,0.00025812304,0.00037659335,0.00016313554,0.00019281878,0.00023333287,0.00013061975,0.00024909902],"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":[0.0007110292,0.0001165822,0.06819283,0.00027782432,0.000042897846,0.00091280893,0.00050426443,0.006083649,0.8235159,0.00010335035,0.0011879143,0.09835097],"study_design_scores_gemma":[0.000032739266,0.0006497678,0.65315175,0.000049501952,0.00008097962,0.0006366802,0.0010703832,0.12943314,0.21181239,0.00021455022,0.002779921,0.000088217224],"about_ca_topic_score_codex":0.011978252,"about_ca_topic_score_gemma":0.023466028,"teacher_disagreement_score":0.011978252,"about_ca_system_score_codex":0.0003490196,"about_ca_system_score_gemma":0.00027218004,"threshold_uncertainty_score":0.023817062},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9716737,0.0015674675,0.003073224,0.00020010327,0.000025901498,0.000019914423,0.020690976,0.000089660774,0.0026589853],"genre_scores_gemma":[0.9664288,0.0015122022,0.0020296625,0.000054398435,0.00003106664,0.00003765939,0.029108888,0.00001801858,0.00077924907],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986196,0.000013154176,0.00001433495,0.00003782098,0.000047186993,0.000025520227],"domain_scores_gemma":[0.9997205,0.000030941428,0.00009110668,0.000020777414,0.00011133292,0.000025376108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040253298,0.00052569533,0.00017323397,0.0011692679,0.00015626238,0.00039091695,0.00020779413,0.0002918833,0.0005462713],"category_scores_gemma":[0.00044080266,0.0001301663,0.0005486034,0.0014414843,0.00011406418,0.00062730163,0.00035860293,0.00020722885,0.00022719061],"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":[0.00006867172,0.000028099621,0.94424987,0.00018928945,0.00032794112,0.00024509826,0.0001456282,0.01798291,0.0031307419,0.0003456327,0.0034811443,0.029804954],"study_design_scores_gemma":[0.0000054116767,0.00002846402,0.9803569,0.000047149184,0.00010124426,0.00011024444,0.0002971591,0.010168565,0.0014371504,0.00028403482,0.007146678,0.000016967248],"about_ca_topic_score_codex":0.026045445,"about_ca_topic_score_gemma":0.031599354,"teacher_disagreement_score":0.026045445,"about_ca_system_score_codex":0.00045653738,"about_ca_system_score_gemma":0.00033720987,"threshold_uncertainty_score":0.051787674},"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":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05015408,0.93519527,0.007040089,0.0010496022,0.00036032932,0.000033611937,0.0000837875,0.00009809419,0.0059851566],"genre_scores_gemma":[0.15688497,0.8281177,0.010302036,0.00093839754,0.00053420424,0.000044203767,0.00018406105,0.000027075728,0.0029673204],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99972266,0.00005645303,0.000022882334,0.000077413926,0.00009182968,0.000028671278],"domain_scores_gemma":[0.9995414,0.00021891741,0.00009799139,0.000026946784,0.000079509846,0.00003532928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005489753,0.0004096106,0.0005066323,0.0007188298,0.00019694827,0.00058716617,0.00023970584,0.00055089535,0.0007305065],"category_scores_gemma":[0.0004786989,0.0001467185,0.000316484,0.00062904984,0.00043105875,0.00046470537,0.00046852944,0.00096477044,0.00037863626],"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":[0.00034194492,0.00019141698,0.0014145137,0.009000156,0.00009589922,0.00047379997,0.00019133212,0.000716602,0.5476324,0.0021280078,0.0017663488,0.43604758],"study_design_scores_gemma":[0.0000305757,0.0026557345,0.014769824,0.0010257949,0.00039113313,0.004271974,0.00039983809,0.000695625,0.5137283,0.0018789228,0.4600698,0.00008246744],"about_ca_topic_score_codex":0.0003733572,"about_ca_topic_score_gemma":0.00056753523,"teacher_disagreement_score":0.0007305065,"about_ca_system_score_codex":0.00030204616,"about_ca_system_score_gemma":0.00034621925,"threshold_uncertainty_score":0.0029032826},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95790863,0.0012952957,0.03684702,0.00003095605,0.000025637293,0.0000504178,0.001489519,0.00034264196,0.0020099063],"genre_scores_gemma":[0.96030986,0.0004690701,0.036454502,0.0000163809,0.000012040313,0.00005613908,0.001742192,0.00004405936,0.0008957479],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981624,0.000034756828,0.00001549549,0.00005175321,0.0000622834,0.000019388697],"domain_scores_gemma":[0.99953115,0.00013644404,0.00014381514,0.000028642313,0.00011870584,0.000041262123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000572015,0.0008298023,0.00033694736,0.0014211546,0.00018488748,0.00053417706,0.00022619162,0.00032972023,0.00053520425],"category_scores_gemma":[0.0006557651,0.0001781026,0.0005069564,0.000881652,0.0001159775,0.0003588334,0.0001904402,0.00046127685,0.00037654093],"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":[0.0005455096,0.00036459157,0.6059387,0.00035429312,0.00026318335,0.0002210356,0.00031568724,0.02839089,0.20116907,0.00026796243,0.0008950534,0.16127403],"study_design_scores_gemma":[0.000014086333,0.00055887003,0.8489803,0.000058892107,0.00012600017,0.00026639004,0.00032555428,0.121914886,0.025677342,0.00033626557,0.0016713887,0.00006998161],"about_ca_topic_score_codex":0.0036342754,"about_ca_topic_score_gemma":0.00877703,"teacher_disagreement_score":0.0036342754,"about_ca_system_score_codex":0.0002511753,"about_ca_system_score_gemma":0.0002092802,"threshold_uncertainty_score":0.0072262287},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51621616,0.0012575217,0.47326526,0.000579668,0.00016446196,0.0001000231,0.0012811329,0.0014941475,0.0056416187],"genre_scores_gemma":[0.9663058,0.00022246415,0.031003343,0.00007146513,0.000022883687,0.000043107724,0.0005374945,0.000018303386,0.0017750484],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985635,0.000019105677,0.000009672781,0.000044302553,0.00003404085,0.00003643683],"domain_scores_gemma":[0.9996977,0.00010905167,0.000037459096,0.000010657055,0.00012731593,0.000017920804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046721243,0.00084413507,0.00052252057,0.00066974165,0.00021735388,0.00049686927,0.00086847116,0.0004912812,0.0008531477],"category_scores_gemma":[0.00088121893,0.00026996157,0.00055563136,0.0006198457,0.0001922583,0.00062420993,0.00031163858,0.00057568867,0.00016597104],"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":[0.00003300121,0.000052579155,0.0057087857,0.000024225157,0.000045705394,0.000044987188,0.0000117047375,0.9630725,0.00072632445,0.0003918688,0.00045619282,0.029432124],"study_design_scores_gemma":[0.0000010369298,0.0000043876257,0.00035623956,0.0000011435767,0.000003377698,0.0000019254962,0.0000015039216,0.99937755,0.000100315,0.00009662218,0.0000547292,0.0000012520782],"about_ca_topic_score_codex":0.15123387,"about_ca_topic_score_gemma":0.13166024,"teacher_disagreement_score":0.15123387,"about_ca_system_score_codex":0.0014285777,"about_ca_system_score_gemma":0.0014430596,"threshold_uncertainty_score":0.30070716},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872342,0.001066854,0.009783278,0.00014944724,0.000021427006,0.00017779738,0.00059517164,0.000041062573,0.0009306442],"genre_scores_gemma":[0.9533435,0.0021925997,0.039686833,0.000092831084,0.000022314736,0.00017247086,0.0024856336,0.000036210204,0.0019675284],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995684,0.000057985897,0.00008066661,0.00008882801,0.00012628608,0.00007776765],"domain_scores_gemma":[0.9998024,0.000023661525,0.000041203435,0.000021947182,0.00007248122,0.000038260765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034724647,0.000674435,0.0006501176,0.00056420505,0.00028145223,0.00062441226,0.00025436922,0.00050581153,0.00039180883],"category_scores_gemma":[0.00028347713,0.00018197266,0.00052334426,0.0009321776,0.00016639539,0.00040385866,0.00051285565,0.00045682167,0.00035967422],"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":[0.00004108639,0.000089912166,0.0014067775,0.00006854458,0.0000064285123,0.00009848652,0.00003029968,0.000078593344,0.995427,0.000027628563,0.00001677852,0.0027084297],"study_design_scores_gemma":[0.000013449882,0.0006725657,0.019521486,0.000026700449,0.00006777182,0.0007686364,0.00029913653,0.0011959643,0.9759386,0.00006414433,0.0014077296,0.000023667179],"about_ca_topic_score_codex":0.0011232076,"about_ca_topic_score_gemma":0.0012789682,"teacher_disagreement_score":0.0011232076,"about_ca_system_score_codex":0.00012488107,"about_ca_system_score_gemma":0.00044302057,"threshold_uncertainty_score":0.0022333264},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974279,0.0017182736,0.00030872962,0.000032329834,0.000027565704,0.00002018932,0.00005994994,0.000018771483,0.0003862079],"genre_scores_gemma":[0.9971034,0.0008121609,0.001272127,0.000038316797,0.000009627638,0.000012081339,0.00008335344,0.000010531855,0.00065840414],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997929,0.000047136153,0.000019599602,0.000045997986,0.000045021614,0.00004943073],"domain_scores_gemma":[0.9997862,0.000037593192,0.000062183346,0.000010318891,0.000026374571,0.00007735029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001990305,0.0005340412,0.0005210211,0.00031841153,0.0001863341,0.00051978923,0.0003092896,0.00029817046,0.0006761086],"category_scores_gemma":[0.0003072778,0.00015759862,0.0003355556,0.00022750578,0.00022153063,0.00031764322,0.00024279124,0.00046594665,0.00011075894],"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":[0.00090546906,0.00034501604,0.00040906813,0.00018860638,0.00003292874,0.00006216377,0.000030945666,0.00017043832,0.9933554,0.000027652748,0.000020146466,0.0044522295],"study_design_scores_gemma":[0.000056098073,0.0040938794,0.008094882,0.000052540738,0.00008702348,0.00010427243,0.0001291905,0.00088726747,0.9849353,0.000038019305,0.0015068249,0.000014738204],"about_ca_topic_score_codex":0.0016360475,"about_ca_topic_score_gemma":0.0026887525,"teacher_disagreement_score":0.0016360475,"about_ca_system_score_codex":0.00021600502,"about_ca_system_score_gemma":0.00033498651,"threshold_uncertainty_score":0.003252983},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99909675,0.00046683828,0.00021064315,0.000028607838,0.000009368326,0.0000071031413,0.00004918483,0.0000087254975,0.00012261621],"genre_scores_gemma":[0.99718827,0.00043306005,0.0010819354,0.0000815782,0.0000070139636,0.000018746512,0.00013029159,0.000011675137,0.0010474328],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996247,0.000082710234,0.00004399533,0.000114121074,0.000072229755,0.00006224237],"domain_scores_gemma":[0.99939287,0.000099324316,0.00016813676,0.00003360972,0.000091540955,0.00021459926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026717162,0.00052577246,0.0004725442,0.0004010574,0.00026102824,0.00042457102,0.00030517924,0.00051133585,0.0004433017],"category_scores_gemma":[0.00047232624,0.00027143786,0.00029014423,0.0001702788,0.00043643426,0.0003271555,0.00026514434,0.00058224757,0.00011794732],"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":[0.01622715,0.00052055146,0.006868564,0.00022395451,0.00012283708,0.00009784827,0.00013766576,0.00026625837,0.97038424,0.000033878434,0.000041610427,0.0050754133],"study_design_scores_gemma":[0.0003822606,0.029940449,0.09149095,0.000061881474,0.0005352033,0.0002729638,0.0006904951,0.0017231455,0.8712036,0.00016042047,0.0034748777,0.000063702995],"about_ca_topic_score_codex":0.002723638,"about_ca_topic_score_gemma":0.0069068633,"teacher_disagreement_score":0.002723638,"about_ca_system_score_codex":0.0004112686,"about_ca_system_score_gemma":0.00032414062,"threshold_uncertainty_score":0.005415559},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917092,0.00084587745,0.00023006393,0.0018295364,0.0000139381555,0.000014010561,0.000018642653,0.000001642511,0.005337121],"genre_scores_gemma":[0.99862504,0.0005882359,0.000119127486,0.00013320567,0.0000059607664,0.000011818605,0.000006665354,9.09155e-7,0.000508993],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99888426,0.0005813504,0.000024114212,0.00006487055,0.000062361025,0.00038293458],"domain_scores_gemma":[0.9988925,0.0005188171,0.00028124274,0.00006205724,0.00007985249,0.00016551724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013762908,0.0001924527,0.00033380027,0.00071097416,0.007746537,0.002833396,0.00094588986,0.0016607012,0.0024956758],"category_scores_gemma":[0.0022787948,0.00019054046,0.0002098683,0.0014813197,0.0068941843,0.0016184356,0.0047398545,0.0010621571,0.00013273706],"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":[0.00020931628,0.0001957483,0.1956707,0.00043288444,0.00007746127,0.026383499,0.68248093,0.0014727463,0.001565614,0.039951414,0.0023200829,0.049239736],"study_design_scores_gemma":[0.000011400468,0.000103668644,0.07765,0.00022783958,0.000022509124,0.002209476,0.89919305,0.00059947243,0.00016825637,0.003950938,0.015842246,0.000021160657],"about_ca_topic_score_codex":0.03102047,"about_ca_topic_score_gemma":0.0989978,"teacher_disagreement_score":0.03102047,"about_ca_system_score_codex":0.0042868606,"about_ca_system_score_gemma":0.0030700997,"threshold_uncertainty_score":0.06167978},"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":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036430806,0.96766806,0.0057103434,0.0024555735,0.00087669014,0.000056059733,0.00040417205,0.00013966573,0.019046282],"genre_scores_gemma":[0.011479702,0.98073477,0.0036105318,0.00057075586,0.00048940256,0.000035544144,0.00030170544,0.000015843912,0.0027618236],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99974483,0.00004597542,0.000030822495,0.00005598536,0.00008410894,0.000038169597],"domain_scores_gemma":[0.9996513,0.00013490728,0.00006860353,0.000014389725,0.00009842393,0.000032308035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005590024,0.0009702172,0.00053592224,0.0021441856,0.0004106042,0.00127377,0.0006688311,0.0010004028,0.0046823467],"category_scores_gemma":[0.00055088196,0.0002222241,0.0006216772,0.0022386154,0.00025866652,0.0013874288,0.0007164454,0.00091599766,0.0011275245],"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":[0.00010776369,0.00015170546,0.0017424294,0.015680378,0.00014551796,0.00028027076,0.00021883953,0.0036419518,0.008043051,0.015259515,0.027534215,0.9271943],"study_design_scores_gemma":[0.0000048533075,0.00020089858,0.003442044,0.0032477037,0.00013695363,0.00038384515,0.00025502627,0.000731758,0.0019707326,0.005740804,0.9838463,0.000039146264],"about_ca_topic_score_codex":0.0023751773,"about_ca_topic_score_gemma":0.0030319688,"teacher_disagreement_score":0.0046823467,"about_ca_system_score_codex":0.0008383839,"about_ca_system_score_gemma":0.0015390957,"threshold_uncertainty_score":0.015663981},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10667463,0.0005899517,0.88020474,0.00025342067,0.00019955136,0.00022046524,0.0002301567,0.006508941,0.005118221],"genre_scores_gemma":[0.5113714,0.00035773354,0.47424895,0.00056346145,0.000062415485,0.00034408446,0.0014242176,0.00021786444,0.011409817],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999642,0.000048720416,0.000013848765,0.00011665995,0.000107775784,0.000071040595],"domain_scores_gemma":[0.9998417,0.000025512605,0.0000148816835,0.000032674558,0.000063191175,0.000022066479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005439415,0.0006872631,0.00054645276,0.0004883324,0.00024432666,0.00057345565,0.0012374276,0.0007191169,0.002451985],"category_scores_gemma":[0.0007028262,0.00023959755,0.00044870548,0.00030610355,0.00034027928,0.0006917439,0.0012866858,0.0006831976,0.0014577244],"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":[0.00045679603,0.00040829382,0.0073640333,0.00018885087,0.00011707892,0.00025833145,0.00018697476,0.022820082,0.14332286,0.0018908324,0.0067639416,0.8162219],"study_design_scores_gemma":[0.000035302484,0.00064665516,0.007790843,0.000033699427,0.000069519665,0.0004132878,0.00011472572,0.91490716,0.0650542,0.0021043946,0.008781072,0.00004915964],"about_ca_topic_score_codex":0.0017095975,"about_ca_topic_score_gemma":0.0031295593,"teacher_disagreement_score":0.002451985,"about_ca_system_score_codex":0.00035345275,"about_ca_system_score_gemma":0.0005838873,"threshold_uncertainty_score":0.008202732},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.086216666,0.0002865313,0.90151983,0.00010832927,0.000091700545,0.0002231908,0.0012557353,0.007555012,0.002742973],"genre_scores_gemma":[0.42870393,0.0005869704,0.56020314,0.00012408431,0.00004032625,0.00042171648,0.0030840258,0.0014648709,0.005370986],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9996069,0.000049988415,0.000030660056,0.00014100639,0.00013645347,0.000035057416],"domain_scores_gemma":[0.9992719,0.00015914255,0.0001070648,0.000106378204,0.00033381593,0.000021674461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079563435,0.0014452726,0.0005471663,0.0017478924,0.0002540033,0.00085217156,0.0008960795,0.00064451003,0.0025609827],"category_scores_gemma":[0.0021344898,0.0003181627,0.0009459651,0.00200816,0.00015831752,0.00088665064,0.0002976206,0.00090009626,0.0017953491],"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":[0.00044111698,0.00072855107,0.025502311,0.00074351154,0.00038925765,0.00042123324,0.000559484,0.10114798,0.25470138,0.0025794203,0.006291405,0.60649437],"study_design_scores_gemma":[0.000010605396,0.0001146303,0.018582664,0.000023934981,0.00004381241,0.00034656044,0.000090824906,0.92907244,0.042719834,0.00090940314,0.008011927,0.00007343282],"about_ca_topic_score_codex":0.0036919478,"about_ca_topic_score_gemma":0.00479175,"teacher_disagreement_score":0.0036919478,"about_ca_system_score_codex":0.0005160108,"about_ca_system_score_gemma":0.00060498837,"threshold_uncertainty_score":0.008567333},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44098926,0.0011716945,0.5450685,0.0005586868,0.00035091533,0.00017122368,0.0015701205,0.004154628,0.005965015],"genre_scores_gemma":[0.884804,0.00027458125,0.10582104,0.00022999648,0.0000641076,0.00014159379,0.0024066411,0.000099942175,0.006158108],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979097,0.000019076682,0.000012944097,0.0000897719,0.000033181128,0.0000540991],"domain_scores_gemma":[0.99982494,0.00003615587,0.00002605951,0.00001863537,0.00007745073,0.000016697884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003714366,0.0009350281,0.0004825888,0.0006502799,0.00029625042,0.0005351081,0.0008195915,0.0006398561,0.0017451239],"category_scores_gemma":[0.00066323957,0.0002600198,0.0005839343,0.00054607814,0.00017572597,0.00079380063,0.00058964646,0.00053387345,0.00041066963],"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":[0.00075594924,0.00030248222,0.02374239,0.00019372972,0.00028301583,0.00026870967,0.00028959804,0.14626002,0.063766696,0.0014476727,0.0064039184,0.7562858],"study_design_scores_gemma":[0.000012045315,0.00010657446,0.0062168753,0.000015932237,0.000059580798,0.0000587582,0.00006097941,0.9789604,0.012520239,0.0008009388,0.001173059,0.0000145932745],"about_ca_topic_score_codex":0.011302931,"about_ca_topic_score_gemma":0.016600547,"teacher_disagreement_score":0.011302931,"about_ca_system_score_codex":0.00085572124,"about_ca_system_score_gemma":0.00067762873,"threshold_uncertainty_score":0.02247423},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78540814,0.0077890325,0.17592436,0.0043753996,0.0005833209,0.00014513887,0.0014942297,0.00042347485,0.02385693],"genre_scores_gemma":[0.9460681,0.004355294,0.0456333,0.00056862115,0.00029111054,0.000079103185,0.00042569768,0.000030829604,0.002548083],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99988735,0.000033944845,0.0000071810846,0.000025561409,0.000026883534,0.000019102772],"domain_scores_gemma":[0.99974245,0.00009563893,0.000061883184,0.000024326797,0.000050944516,0.000024813273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026287892,0.000376658,0.00021586564,0.0009354473,0.00021203634,0.0009642444,0.00027779274,0.0005883923,0.0012945394],"category_scores_gemma":[0.00068071747,0.00015836387,0.00030507016,0.0007303892,0.0004398557,0.00084593554,0.00053549587,0.00037813612,0.00022598488],"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":[0.00053419825,0.0005524775,0.21640486,0.0013078913,0.0002502913,0.0023852293,0.0038941347,0.022664465,0.17599455,0.016414562,0.0055983793,0.55399895],"study_design_scores_gemma":[0.000024582709,0.0011675145,0.7311937,0.0008100475,0.00022347568,0.0024906714,0.00978427,0.15360531,0.019695725,0.04822595,0.032562014,0.00021670749],"about_ca_topic_score_codex":0.0010599747,"about_ca_topic_score_gemma":0.0018187455,"teacher_disagreement_score":0.0012945394,"about_ca_system_score_codex":0.00022672297,"about_ca_system_score_gemma":0.0001964919,"threshold_uncertainty_score":0.0043306947},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99814415,0.0010940561,0.00019369667,0.00003227896,0.000007949519,0.0000072814883,0.000057185305,0.00001529498,0.00044815522],"genre_scores_gemma":[0.9984042,0.00042988453,0.0004214219,0.000039280294,0.0000043398186,0.000008339428,0.0001160546,0.0000040390228,0.0005725104],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999069,0.000017176057,0.0000076183774,0.000026245592,0.000020284195,0.000021784563],"domain_scores_gemma":[0.99983835,0.000024674344,0.000039083043,0.0000098121745,0.000025839852,0.000062234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014272987,0.00042963933,0.0002482256,0.00021050597,0.00016710692,0.0001956721,0.0001315984,0.00019314594,0.00065238954],"category_scores_gemma":[0.00012163603,0.00009939811,0.0002664835,0.00011376839,0.00015055004,0.000228569,0.00020321488,0.00042724313,0.000060022685],"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":[0.00019989454,0.000055039716,0.00081705314,0.00007017928,0.000014509146,0.000033671684,0.00003382011,0.000045844215,0.99740905,0.000025913005,0.000015287227,0.0012797198],"study_design_scores_gemma":[0.000051640367,0.003685002,0.121456765,0.000023033457,0.00014230324,0.00023216866,0.000184087,0.0012955122,0.8699206,0.00007495457,0.002906834,0.00002711133],"about_ca_topic_score_codex":0.0021616574,"about_ca_topic_score_gemma":0.0039161644,"teacher_disagreement_score":0.0021616574,"about_ca_system_score_codex":0.00017561005,"about_ca_system_score_gemma":0.00017293263,"threshold_uncertainty_score":0.00429821},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99868935,0.00008270112,0.000050363236,0.0002720057,0.0000025621457,0.0000093346,0.00005975366,0.0000026661694,0.00083124515],"genre_scores_gemma":[0.99752337,0.0004935892,0.0005390749,0.00023739609,0.0000051878974,0.000031796186,0.00014392429,0.0000015784124,0.0010239537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99954396,0.00013819906,0.000037510392,0.000054649536,0.0001290551,0.000096612646],"domain_scores_gemma":[0.9958395,0.00105382,0.0011354522,0.00009143539,0.0011195214,0.00076031714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001328636,0.00010766942,0.00012120983,0.0005387089,0.000828046,0.00062537886,0.00027171412,0.00039854253,0.0024079036],"category_scores_gemma":[0.0025668996,0.00016380734,0.00012316465,0.00068871013,0.00029889992,0.00082157296,0.00040591703,0.00044297896,0.00022892538],"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":[0.00007433529,0.00034847745,0.9175903,0.00015902979,0.000017837816,0.0005960749,0.034347355,0.00010351513,0.0058459174,0.00010388154,0.0018284456,0.038984846],"study_design_scores_gemma":[0.0000028105942,0.00027777202,0.91231084,0.000060272396,0.000009730607,0.00025516207,0.08272228,0.00019828709,0.00032241296,0.00003347116,0.0037960364,0.000010920944],"about_ca_topic_score_codex":0.024358442,"about_ca_topic_score_gemma":0.075583644,"teacher_disagreement_score":0.024358442,"about_ca_system_score_codex":0.0005415056,"about_ca_system_score_gemma":0.0011287675,"threshold_uncertainty_score":0.048433363},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99864846,0.00013029623,0.0008801953,0.00002501826,0.0000041800577,0.0000044848043,0.000071957176,0.000017632367,0.00021785166],"genre_scores_gemma":[0.99589515,0.0001429509,0.0015041071,0.000050067767,0.0000016741603,0.000010002776,0.00026212574,0.00002849268,0.0021054414],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999882,0.000014940089,0.000009326098,0.000047156853,0.000028242739,0.000018362414],"domain_scores_gemma":[0.9998914,0.000029473858,0.00002228031,0.000012715028,0.000017694227,0.000026483187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001201673,0.00018009271,0.00033295105,0.00011671282,0.0001702827,0.0003332985,0.00016981734,0.00024288293,0.0006707186],"category_scores_gemma":[0.0001319652,0.00012816855,0.00020311608,0.00013384625,0.00018495627,0.00020553987,0.00018614021,0.0005547926,0.00015465067],"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":[0.00007663117,0.0000098351375,0.00044136544,0.0000097924785,0.0000025243503,0.0000131404895,0.000021717817,0.000015949865,0.9987949,0.000011001059,0.00000508093,0.0005979969],"study_design_scores_gemma":[0.000025828549,0.000962258,0.09122837,0.0000066440134,0.000040503284,0.00015278564,0.00015267916,0.0020736442,0.9038855,0.00006325566,0.0013961358,0.000012330886],"about_ca_topic_score_codex":0.0047901683,"about_ca_topic_score_gemma":0.0055188104,"teacher_disagreement_score":0.0047901683,"about_ca_system_score_codex":0.00052201905,"about_ca_system_score_gemma":0.00019136415,"threshold_uncertainty_score":0.009524524},"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":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01624048,0.93747145,0.00091600337,0.0030879253,0.0005425427,0.00009124717,0.0038598406,0.00010749104,0.03768308],"genre_scores_gemma":[0.047096953,0.94179904,0.0020502203,0.000564622,0.000105661515,0.000029103427,0.001518174,0.000022044664,0.006814192],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9996766,0.000024524677,0.000027539147,0.000036628924,0.0001426906,0.0000920974],"domain_scores_gemma":[0.9991548,0.00007382355,0.00006886068,0.000009995543,0.00054838957,0.00014420149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004091702,0.0006925882,0.000607097,0.0045784474,0.0022199377,0.0028801635,0.00069094833,0.00047324627,0.0032690817],"category_scores_gemma":[0.0005562975,0.00026567472,0.0005846992,0.009385938,0.0004976203,0.000718422,0.0006168466,0.00074981863,0.0002814265],"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":[0.00018918405,0.000087851644,0.06662573,0.026587207,0.00049110915,0.0016191665,0.004769124,0.0057197763,0.0051362645,0.012198966,0.098509826,0.77806586],"study_design_scores_gemma":[0.0000070796686,0.00006280263,0.18675078,0.008635973,0.0002652396,0.00067601213,0.0036726007,0.00059888494,0.0006016735,0.00095348724,0.79767317,0.00010230531],"about_ca_topic_score_codex":0.97686464,"about_ca_topic_score_gemma":0.9915884,"teacher_disagreement_score":0.02590227,"about_ca_system_score_codex":0.02590227,"about_ca_system_score_gemma":0.047950808,"threshold_uncertainty_score":0.187935},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9573004,0.0015446595,0.037873916,0.000067800196,0.000035887122,0.000055558416,0.00090200634,0.0006391793,0.0015806914],"genre_scores_gemma":[0.9734264,0.0008992943,0.023401933,0.00005695527,0.00002082907,0.000052662057,0.0011102022,0.000054628847,0.0009771658],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998217,0.000019671155,0.000012231105,0.00004871198,0.00008099381,0.000016553213],"domain_scores_gemma":[0.9997893,0.000040965886,0.0000469876,0.000015341784,0.00009547317,0.000011953139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004988789,0.00057902257,0.00044427236,0.00087401114,0.00020039448,0.0007123194,0.0003325678,0.00044779215,0.000662657],"category_scores_gemma":[0.0006051098,0.00022538949,0.00046210908,0.0007280535,0.00012459561,0.0007097204,0.00027235213,0.00039809692,0.000321439],"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":[0.00092356576,0.00033619234,0.13783012,0.00089511054,0.00026304898,0.0008847311,0.00049023976,0.03662844,0.65508467,0.00044520388,0.0018208546,0.16439788],"study_design_scores_gemma":[0.00003245968,0.0010871541,0.27540612,0.000060374507,0.00030226953,0.00083222677,0.00060374074,0.48858517,0.22929199,0.0006775564,0.0029601476,0.00016077282],"about_ca_topic_score_codex":0.0017704244,"about_ca_topic_score_gemma":0.0023528333,"teacher_disagreement_score":0.0017704244,"about_ca_system_score_codex":0.00021014502,"about_ca_system_score_gemma":0.00022433186,"threshold_uncertainty_score":0.0035202503},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978193,0.00013862319,0.000095271964,0.000025369043,0.0000012187899,0.000008266638,0.00047072678,0.000008324526,0.0014330401],"genre_scores_gemma":[0.99697495,0.0001114867,0.00026473304,0.000028439803,3.251079e-7,0.000005447989,0.00057057454,0.000004619219,0.002039462],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998714,0.0000049575515,0.00000493458,0.000029544639,0.00004671657,0.00004253077],"domain_scores_gemma":[0.99975246,0.000010988735,0.000022625654,0.000005056069,0.00013553092,0.0000733002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000116705705,0.00018424638,0.00020036811,0.00036039774,0.0011064548,0.00056114997,0.00032248045,0.000101444515,0.0010449482],"category_scores_gemma":[0.00021025042,0.00009398417,0.00011673753,0.00068270555,0.0002436748,0.00012785532,0.00022625049,0.00017589043,0.00010100445],"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":[0.001666468,0.00042515804,0.70459485,0.00015988192,0.00013918204,0.0007790786,0.0033967183,0.0019977973,0.21844341,0.00091540074,0.002416535,0.06506555],"study_design_scores_gemma":[0.000010383756,0.00011319833,0.991197,0.000009765461,0.000022973281,0.00005567974,0.0015518004,0.00074903236,0.003552286,0.00004756567,0.0026773585,0.00001295642],"about_ca_topic_score_codex":0.9821201,"about_ca_topic_score_gemma":0.9959494,"teacher_disagreement_score":0.017879903,"about_ca_system_score_codex":0.0126421265,"about_ca_system_score_gemma":0.0074662846,"threshold_uncertainty_score":0.09172553},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99646264,0.00030912049,0.0012489615,0.000025358917,0.0000076290203,0.0000150018095,0.00051869056,0.000032593834,0.0013800409],"genre_scores_gemma":[0.9951114,0.00040107494,0.0018137919,0.000036291076,0.0000023327634,0.00001648433,0.0006182302,0.000018822535,0.0019813755],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989855,0.0000053375607,0.000004611008,0.000024399142,0.000045759127,0.000021291642],"domain_scores_gemma":[0.9998944,0.00002967547,0.000012103641,0.000004868159,0.000046994377,0.000011898551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015458491,0.00027856827,0.00018351176,0.00024852043,0.0002697655,0.00017953943,0.0002323224,0.00015611315,0.0009947238],"category_scores_gemma":[0.00023712219,0.000104572195,0.00021757098,0.00028037158,0.00015906032,0.00024485536,0.000106356936,0.0004247058,0.0001744119],"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":[0.00007169581,0.000012106828,0.0019028758,0.00005009988,0.00000785438,0.000031668824,0.000083625986,0.00013468039,0.9953571,0.000036627647,0.00006626549,0.0022454376],"study_design_scores_gemma":[0.000008123463,0.00018739108,0.108736165,0.000010626971,0.00003986089,0.00018014539,0.00044830338,0.003784337,0.88444555,0.000056312132,0.002078225,0.000024903995],"about_ca_topic_score_codex":0.038304184,"about_ca_topic_score_gemma":0.07199303,"teacher_disagreement_score":0.038304184,"about_ca_system_score_codex":0.0003862679,"about_ca_system_score_gemma":0.00029966462,"threshold_uncertainty_score":0.07616246},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05093652,0.0000992676,0.9465591,0.00011317812,0.000014485291,0.00010915386,0.00007505141,0.0009152708,0.0011780767],"genre_scores_gemma":[0.29691973,0.00005519823,0.70125544,0.00009682963,0.0000140230995,0.00020676205,0.00022285592,0.00012977072,0.0010994615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957854,0.00012103991,0.000021148231,0.00013313083,0.000079216334,0.00006697898],"domain_scores_gemma":[0.99934,0.0003309919,0.00010000605,0.000047260917,0.00013019064,0.000051606406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010192576,0.0011613701,0.0011967841,0.0011223931,0.0005073311,0.00096207554,0.001239375,0.0012289486,0.001700112],"category_scores_gemma":[0.0016164759,0.0006580725,0.0007951008,0.00075118995,0.0005481565,0.0007999559,0.0008147167,0.0007337739,0.00031389736],"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":[0.00007082305,0.0001089673,0.0016441894,0.000040294573,0.000033595847,0.000042482585,0.00004042833,0.9205419,0.0036430778,0.001162952,0.000654319,0.0720169],"study_design_scores_gemma":[0.000012410238,0.000016712323,0.00018726458,0.0000024195062,0.0000035540636,0.0000055994756,0.000007754332,0.99876934,0.00049959746,0.0003664655,0.00012581117,0.0000030597885],"about_ca_topic_score_codex":0.012678784,"about_ca_topic_score_gemma":0.013730584,"teacher_disagreement_score":0.012678784,"about_ca_system_score_codex":0.00094291865,"about_ca_system_score_gemma":0.0019384827,"threshold_uncertainty_score":0.025209963},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988391,0.0001008362,0.00073878,0.000005269475,0.0000013727605,0.000005355674,0.00019285851,0.000008962414,0.00010749293],"genre_scores_gemma":[0.99748635,0.000094074145,0.0015249972,0.000006700494,0.0000024089527,0.00001496424,0.00058839924,0.000013570254,0.00026865225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939,0.00017251249,0.00004762639,0.00020700789,0.00013095091,0.000051833915],"domain_scores_gemma":[0.9989968,0.00036123596,0.00039710576,0.00008796344,0.00006111428,0.000095793526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008091701,0.0004101952,0.0004007782,0.0014400183,0.00026963928,0.0003230913,0.00025657506,0.00024074638,0.00074163347],"category_scores_gemma":[0.00076520187,0.0002534602,0.00080797967,0.0013659474,0.0002713002,0.00025748005,0.0004383267,0.00031379142,0.0001389845],"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":[0.0019830684,0.00039083522,0.555874,0.00016424527,0.0013835079,0.000696325,0.0008418148,0.0024925482,0.40753546,0.0006068779,0.00014108309,0.027890148],"study_design_scores_gemma":[0.000007344687,0.00018666693,0.9945503,0.00000276168,0.00009081695,0.0001346499,0.00004815457,0.0011647368,0.0034833339,0.00008282813,0.00022954032,0.000018940165],"about_ca_topic_score_codex":0.0025762757,"about_ca_topic_score_gemma":0.004753377,"teacher_disagreement_score":0.0025762757,"about_ca_system_score_codex":0.00044900243,"about_ca_system_score_gemma":0.00034295768,"threshold_uncertainty_score":0.005122602},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99936455,0.0002455576,0.00015925599,0.000010053,0.0000018720469,0.0000026248435,0.000060825,0.0000053801514,0.0001498665],"genre_scores_gemma":[0.9994294,0.00012536022,0.000089535715,0.000015148817,0.0000014926213,0.0000038929797,0.00011945493,0.0000032890307,0.00021230761],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99994755,0.000008043078,0.0000048242846,0.00001867548,0.000008780764,0.000012122526],"domain_scores_gemma":[0.9998399,0.000030892286,0.00006909148,0.000008263511,0.000012654818,0.00003910122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006638607,0.00016441764,0.00020252028,0.000122037665,0.00011970846,0.0002459154,0.000110751556,0.00016574125,0.0006169951],"category_scores_gemma":[0.00014637894,0.00009606851,0.00013849171,0.00012713125,0.00012803687,0.00026788426,0.00019602333,0.0002958598,0.000052976575],"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":[0.00062052225,0.000077538425,0.019076336,0.00007403915,0.000029672665,0.00012093032,0.000084997766,0.00035165908,0.9755951,0.000025426381,0.00003533785,0.0039083445],"study_design_scores_gemma":[0.0000210011,0.001493722,0.88654196,0.000011822033,0.00007714877,0.00022600195,0.00030540922,0.002110793,0.10798357,0.000095395655,0.001107791,0.000025458437],"about_ca_topic_score_codex":0.0024552238,"about_ca_topic_score_gemma":0.003881804,"teacher_disagreement_score":0.0024552238,"about_ca_system_score_codex":0.00025627873,"about_ca_system_score_gemma":0.00014295324,"threshold_uncertainty_score":0.004881859},"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":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032920096,0.06007785,0.81264764,0.008010801,0.0016513156,0.00009544057,0.00011503802,0.0010207256,0.08346113],"genre_scores_gemma":[0.64802814,0.04311791,0.28720844,0.001991907,0.0008211149,0.00009201757,0.00015048965,0.00008960748,0.018500388],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996861,0.00007941738,0.000015599437,0.00007386689,0.000116485,0.000028543152],"domain_scores_gemma":[0.9997067,0.00013302187,0.000026244343,0.000032558764,0.00008004832,0.000021353619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041114495,0.00035616112,0.00040252588,0.00088604336,0.0003655672,0.0016351186,0.00046615192,0.0012543495,0.0020862897],"category_scores_gemma":[0.0008608178,0.00024812645,0.0005182133,0.0009664959,0.0012829499,0.0016925854,0.0009231485,0.0010196684,0.0006620835],"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":[0.00012772223,0.00013806406,0.0024827097,0.00097312155,0.00020956386,0.000834104,0.0005486195,0.04255403,0.05680043,0.23486488,0.01081604,0.6496508],"study_design_scores_gemma":[0.000058064677,0.0004661356,0.0061495565,0.00051998784,0.0001367414,0.0018690592,0.00065999804,0.3844681,0.04783052,0.37388158,0.18372145,0.00023890258],"about_ca_topic_score_codex":0.0014155633,"about_ca_topic_score_gemma":0.00095850544,"teacher_disagreement_score":0.0020862897,"about_ca_system_score_codex":0.00048475966,"about_ca_system_score_gemma":0.0004640314,"threshold_uncertainty_score":0.0069792867},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942464,0.000022927516,0.0013428777,0.00006419532,0.0000090254525,0.00002660095,0.0011666439,0.00009745853,0.0030238805],"genre_scores_gemma":[0.9953231,0.00005066411,0.0018103468,0.000033312765,0.0000021761941,0.000040381008,0.0012045878,0.00002125354,0.001514262],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999156,0.00001902535,0.000005791204,0.000017178992,0.000013697515,0.00002858237],"domain_scores_gemma":[0.99967563,0.00011717857,0.000025019428,0.000024950019,0.00011894977,0.00003834745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027860253,0.0005343981,0.00029111071,0.00034116476,0.00043028092,0.00060805277,0.00086713367,0.00049035304,0.0019597672],"category_scores_gemma":[0.00062143576,0.0003134691,0.00048417546,0.0008259365,0.0002922124,0.00031414223,0.00031694022,0.0003639972,0.00018207522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008436714,0.00006250516,0.02229486,0.000015437761,0.00005034593,0.000110421075,0.0000287717,0.97208846,0.0013981008,0.00038571557,0.0004939487,0.0029871194],"study_design_scores_gemma":[0.000037967002,0.000019553805,0.012415941,0.0000034746922,0.000017934051,0.000007565629,0.00004549961,0.98651797,0.0004806182,0.00013377379,0.00030906912,0.000010609484],"about_ca_topic_score_codex":0.5933727,"about_ca_topic_score_gemma":0.5450224,"teacher_disagreement_score":0.4066273,"about_ca_system_score_codex":0.0028893887,"about_ca_system_score_gemma":0.0028817672,"threshold_uncertainty_score":0.818044},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9048173,0.0009249567,0.046076898,0.0033951942,0.00012068317,0.0009383703,0.0065240497,0.00020490604,0.03699768],"genre_scores_gemma":[0.97482,0.0003288193,0.018625725,0.00041363377,0.00004591375,0.00080182555,0.002870391,0.00015232635,0.0019414016],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9340651,0.025847746,0.012987119,0.005708798,0.019293277,0.0020980185],"domain_scores_gemma":[0.5665824,0.28397572,0.07673984,0.028801138,0.041564852,0.0023359943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.048203308,0.00041646906,0.00055682,0.008229572,0.0020707636,0.00500402,0.0011099877,0.0010354926,0.0048020417],"category_scores_gemma":[0.2628895,0.0004343126,0.0005703182,0.009917424,0.0041256472,0.014504111,0.0044696634,0.0017881341,0.0010772132],"study_design_candidate":"qualitative","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":[0.00036328955,0.00026798202,0.51991785,0.003300488,0.00013342085,0.0011202567,0.24133992,0.001546915,0.009566532,0.04790192,0.007262549,0.16727889],"study_design_scores_gemma":[0.000029195024,0.00022250462,0.52297676,0.003278371,0.00012574617,0.0010926095,0.2722146,0.009616045,0.010155422,0.0404548,0.13958417,0.00024981273],"about_ca_topic_score_codex":0.0047876295,"about_ca_topic_score_gemma":0.004650848,"teacher_disagreement_score":0.048203308,"about_ca_system_score_codex":0.0038301668,"about_ca_system_score_gemma":0.005390452,"threshold_uncertainty_score":0.2549265},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99157447,0.0058335387,0.0012371462,0.00017350138,0.000035627192,0.00003609218,0.00018138002,0.00003157592,0.00089675636],"genre_scores_gemma":[0.9954727,0.0023132674,0.0010314564,0.00007610776,0.000012499789,0.00005208007,0.00018499186,0.0000038619796,0.0008529698],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998055,0.000037704038,0.000016654318,0.000026902519,0.00005388003,0.00005932804],"domain_scores_gemma":[0.99989617,0.00001116524,0.00003654,0.000008533235,0.000021552743,0.000025937516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018774209,0.00028560698,0.00032908178,0.00027478117,0.0001665778,0.00025525258,0.00010585822,0.00029308518,0.00053704804],"category_scores_gemma":[0.00014498814,0.00011107348,0.0003500551,0.0001960955,0.00018286688,0.00028513354,0.00025594298,0.0005310051,0.00012149496],"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":[0.0005469942,0.00013586617,0.0012400919,0.00019009429,0.000009114654,0.00017979683,0.000055007255,0.00007264303,0.9950399,0.0000471936,0.000040736926,0.0024425366],"study_design_scores_gemma":[0.000066369474,0.002318733,0.031349786,0.000037898688,0.00004255963,0.00058861036,0.00022531743,0.0011801017,0.96160024,0.00011206822,0.002465883,0.000012460671],"about_ca_topic_score_codex":0.0005346169,"about_ca_topic_score_gemma":0.00065686944,"teacher_disagreement_score":0.00053704804,"about_ca_system_score_codex":0.00023006188,"about_ca_system_score_gemma":0.0003031982,"threshold_uncertainty_score":0.0017965436},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997415,0.00009513551,0.000039265822,0.000008084513,0.0000022749698,0.000005875559,0.000035849207,0.0000027585186,0.00006925871],"genre_scores_gemma":[0.9979024,0.00018837643,0.0005981546,0.00002923323,0.000003700358,0.000020743188,0.00019244516,0.000004551913,0.0010604495],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998437,0.000023605435,0.000015562977,0.000039800736,0.000040283838,0.00003691904],"domain_scores_gemma":[0.99966323,0.000045608784,0.000082700644,0.000020797632,0.000038181555,0.00014950281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019147493,0.00046881495,0.0003170439,0.00027766725,0.00022983232,0.00025067863,0.0002267178,0.00027338913,0.0009660219],"category_scores_gemma":[0.00021539482,0.00017645753,0.000249853,0.00012116892,0.0002857919,0.00027753095,0.00022152533,0.0004162117,0.00012704691],"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":[0.0067878272,0.00083315483,0.0054763113,0.00010524869,0.00004378244,0.00007434458,0.000083101106,0.00009008753,0.9825043,0.000021547254,0.000027691984,0.0039525367],"study_design_scores_gemma":[0.00025485933,0.041806735,0.13700736,0.00002765415,0.0002004378,0.00024821822,0.00034737124,0.00067839056,0.81801414,0.000044002853,0.0013412128,0.00002972567],"about_ca_topic_score_codex":0.002556721,"about_ca_topic_score_gemma":0.0076015303,"teacher_disagreement_score":0.002556721,"about_ca_system_score_codex":0.00037857113,"about_ca_system_score_gemma":0.0003796025,"threshold_uncertainty_score":0.0050837398},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36552933,0.25608665,0.029942144,0.0672968,0.004200038,0.0003754517,0.0044722483,0.000996093,0.2711012],"genre_scores_gemma":[0.6896403,0.12786038,0.06381979,0.018845974,0.001959037,0.00036279895,0.0060278457,0.00030343764,0.09118046],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997002,0.0000755563,0.000011306406,0.000071383496,0.00007510306,0.0000665262],"domain_scores_gemma":[0.99975675,0.000028053939,0.000041668936,0.000017322704,0.000055176377,0.00010094906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010763848,0.00049461925,0.00027462246,0.00063406164,0.0003904168,0.001334519,0.00076839724,0.0009183878,0.016946064],"category_scores_gemma":[0.00044890083,0.00011792684,0.0007139498,0.00047197743,0.00040498056,0.0013319941,0.0012399354,0.0007498115,0.0028459665],"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":[0.0037081,0.0007968769,0.009414646,0.004419802,0.0002455374,0.002853568,0.00087898556,0.00032694158,0.37034518,0.03548869,0.05237361,0.5191481],"study_design_scores_gemma":[0.00008697587,0.0015094135,0.013763598,0.0006473705,0.00013315235,0.0012218946,0.000827542,0.00022006943,0.028895888,0.0049265563,0.9477264,0.000040963838],"about_ca_topic_score_codex":0.0009473315,"about_ca_topic_score_gemma":0.0024002232,"teacher_disagreement_score":0.016946064,"about_ca_system_score_codex":0.0009455974,"about_ca_system_score_gemma":0.0007173127,"threshold_uncertainty_score":0.056690276},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99791557,0.0005762251,0.00094896747,0.00001760473,0.0000054802026,0.000018294872,0.000040950577,0.000009538257,0.00046742035],"genre_scores_gemma":[0.98966473,0.0012817101,0.0075548785,0.00005191921,0.000004591615,0.000017324874,0.00018605258,0.0000123195405,0.0012265292],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99987924,0.000012747946,0.000008190179,0.000019015462,0.00005207939,0.000028610455],"domain_scores_gemma":[0.99993575,0.0000053454414,0.000023873177,0.0000025328266,0.000017942668,0.000014531274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023015818,0.00037609017,0.0002305507,0.00028401683,0.00023682529,0.0007281073,0.00020846885,0.00016511204,0.0005845304],"category_scores_gemma":[0.00009254556,0.000086958156,0.00022066,0.00030520806,0.00016068303,0.0003566815,0.00024952975,0.00025196897,0.00013329017],"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":[0.00012088965,0.00007656512,0.0019215153,0.00009635415,0.000012437722,0.000035099492,0.000035329165,0.00020578933,0.9908189,0.000030336303,0.00001447313,0.006632402],"study_design_scores_gemma":[0.0000214477,0.0031996167,0.04666698,0.000062707135,0.0000879645,0.00014704389,0.0006008085,0.0022836535,0.94272846,0.00009346678,0.004092269,0.000015552414],"about_ca_topic_score_codex":0.0047146576,"about_ca_topic_score_gemma":0.026065812,"teacher_disagreement_score":0.0047146576,"about_ca_system_score_codex":0.0005487935,"about_ca_system_score_gemma":0.00042401103,"threshold_uncertainty_score":0.00937444},"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":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00311116,0.8844384,0.09377683,0.0006493577,0.0011846627,0.00007500663,0.00017491865,0.00031717808,0.016272577],"genre_scores_gemma":[0.05061218,0.8844609,0.050959338,0.00061429886,0.0015420577,0.00014281532,0.00062223856,0.000096528864,0.010949567],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99961686,0.000049765586,0.00004548973,0.00009178318,0.00016260838,0.00003334836],"domain_scores_gemma":[0.9996475,0.00015920601,0.000041795756,0.000018922046,0.000118025055,0.000014523845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043019402,0.0009417228,0.00081098604,0.0015661728,0.00030603353,0.001222256,0.0008598914,0.0011324072,0.0032311114],"category_scores_gemma":[0.0007198519,0.00039993474,0.0006509049,0.0017762352,0.00033667186,0.0019131582,0.0004888796,0.0009076343,0.0015589299],"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":[0.000059232232,0.00008011713,0.0007411235,0.012567323,0.00012151972,0.00016855293,0.00012535733,0.014779468,0.009048083,0.02273982,0.015037723,0.9245317],"study_design_scores_gemma":[0.000012098035,0.000347241,0.0018635894,0.0024384437,0.00022526391,0.0007817872,0.00021104833,0.0237777,0.0068232375,0.017619545,0.9458058,0.0000942386],"about_ca_topic_score_codex":0.0013253991,"about_ca_topic_score_gemma":0.0009137404,"teacher_disagreement_score":0.0032311114,"about_ca_system_score_codex":0.0004974685,"about_ca_system_score_gemma":0.0008891633,"threshold_uncertainty_score":0.0108091235},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86698467,0.0038079221,0.12163213,0.0014089561,0.00022128143,0.00027892386,0.0009420497,0.0012932126,0.003430843],"genre_scores_gemma":[0.9763116,0.00064858695,0.01934862,0.00035892642,0.00006213712,0.000113708644,0.0016716288,0.00014415028,0.0013406327],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99779475,0.00075553276,0.00017023779,0.0008927372,0.00019657532,0.00019019892],"domain_scores_gemma":[0.9809132,0.014115586,0.0010234083,0.0020993217,0.0015620664,0.00028632532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011284487,0.0017493548,0.0013241854,0.0008253944,0.00068121136,0.0013433978,0.0015711191,0.0016534636,0.00091745635],"category_scores_gemma":[0.024270866,0.00044396566,0.0015890041,0.0006974885,0.0009436268,0.0029073046,0.0011586562,0.0027050881,0.0003876285],"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":[0.0009092706,0.00043675693,0.04077054,0.00028557627,0.0006173103,0.00023294656,0.00044151416,0.8083054,0.005976285,0.0013018708,0.0032143544,0.13750815],"study_design_scores_gemma":[0.000014319856,0.00019997288,0.006355952,0.000036265723,0.00007613509,0.000072939416,0.00013013674,0.98953944,0.0020242478,0.0010967898,0.0004295955,0.00002425081],"about_ca_topic_score_codex":0.031413693,"about_ca_topic_score_gemma":0.01744085,"teacher_disagreement_score":0.031413693,"about_ca_system_score_codex":0.002098207,"about_ca_system_score_gemma":0.0012827464,"threshold_uncertainty_score":0.062461734},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99727947,0.0005961092,0.0014731728,0.000038462367,0.000008717795,0.000014464988,0.00012268405,0.000024358684,0.00044262633],"genre_scores_gemma":[0.9963612,0.0004688988,0.001323865,0.00006269681,0.000004619617,0.000016880702,0.00018048754,0.000013476528,0.0015678076],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999299,0.0000051135326,0.000003835554,0.000023893559,0.000017267706,0.000020028368],"domain_scores_gemma":[0.9999422,0.000012095013,0.000018470202,0.0000044926232,0.000010968183,0.000011770061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000664662,0.00027767147,0.00025065878,0.00013594828,0.00015717738,0.00021602315,0.00012168742,0.000226803,0.0003867639],"category_scores_gemma":[0.00006619004,0.00011585491,0.0002040019,0.00008822927,0.00013838189,0.00024438376,0.00023963727,0.00035672143,0.000118092605],"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":[0.000009701833,0.000003691451,0.0001938201,0.000018123596,0.000001667699,0.000016558868,0.000011374266,0.000008258241,0.9993175,0.0000062817653,0.0000044026774,0.0004086699],"study_design_scores_gemma":[0.0000026461578,0.00045121743,0.030843953,0.000009953159,0.000022348357,0.00012699275,0.00022194422,0.0005823294,0.96626484,0.000034044657,0.0014314479,0.000008306846],"about_ca_topic_score_codex":0.0015951055,"about_ca_topic_score_gemma":0.0027764959,"teacher_disagreement_score":0.0015951055,"about_ca_system_score_codex":0.00016929304,"about_ca_system_score_gemma":0.000107291846,"threshold_uncertainty_score":0.0031715631},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98772395,0.00030255635,0.009755124,0.000024668874,0.00001802859,0.000024473375,0.000647209,0.00022863758,0.0012752623],"genre_scores_gemma":[0.972181,0.00025503285,0.024261726,0.000040414096,0.000008530598,0.00007175114,0.00091220916,0.00004970474,0.0022195333],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999541,0.0000032299383,0.000003621888,0.0000148894605,0.000014575094,0.000009624706],"domain_scores_gemma":[0.99990416,0.000011998532,0.000018980407,0.000007918876,0.0000385903,0.000018351479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010835312,0.00014852545,0.00015217734,0.0010015358,0.000093115385,0.00020274382,0.00014616566,0.00014800024,0.0012513024],"category_scores_gemma":[0.00011772977,0.000083717685,0.00016909347,0.00039105135,0.000089209374,0.0001771896,0.00010849538,0.0001990119,0.00019933798],"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":[0.00012547793,0.000021368945,0.0024883058,0.00005842527,0.00001305301,0.00006147291,0.000045321485,0.00015199056,0.98649526,0.00006298611,0.00010050715,0.010375835],"study_design_scores_gemma":[0.000025369653,0.00017162407,0.56404877,0.00001646153,0.000057848956,0.00079750095,0.0003089933,0.012480816,0.420371,0.00019657101,0.0014858776,0.000039200244],"about_ca_topic_score_codex":0.0016387517,"about_ca_topic_score_gemma":0.0021098936,"teacher_disagreement_score":0.0016387517,"about_ca_system_score_codex":0.00019475649,"about_ca_system_score_gemma":0.00008856324,"threshold_uncertainty_score":0.004186034},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8785419,0.056659095,0.0015070402,0.0041932254,0.0006277993,0.00009430232,0.041360594,0.00028285827,0.016733317],"genre_scores_gemma":[0.94826186,0.01938708,0.0018021971,0.00044140316,0.00084701495,0.00013877901,0.026672253,0.00003584832,0.0024137103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99518836,0.00054421806,0.0012469339,0.00053318444,0.002158094,0.00032919022],"domain_scores_gemma":[0.9772561,0.003830732,0.009276364,0.00066369545,0.007879625,0.0010935091],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.004139551,0.00047374793,0.00064356416,0.03432409,0.00064060144,0.0029634247,0.00041401666,0.0005392383,0.0015156694],"category_scores_gemma":[0.016191185,0.00014546256,0.00088993245,0.06977261,0.00045550734,0.0024506792,0.0010332793,0.00047566678,0.0007705002],"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":[0.00018975999,0.00008115434,0.85902345,0.0022072236,0.00053277396,0.00050385005,0.001697859,0.0011751824,0.0012586939,0.002432166,0.014066039,0.11683184],"study_design_scores_gemma":[0.0000058974188,0.000058331632,0.9658716,0.00022656682,0.00013135296,0.0005320593,0.00115143,0.0009287472,0.0004900847,0.00035722708,0.030223286,0.000023442353],"about_ca_topic_score_codex":0.008765633,"about_ca_topic_score_gemma":0.010381879,"teacher_disagreement_score":0.9656759,"about_ca_system_score_codex":0.0016784007,"about_ca_system_score_gemma":0.0022108143,"threshold_uncertainty_score":0.02189231},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000099898,0.9972773,0.0010344344,0.000507241,0.00016155542,0.000009245599,0.00003997664,0.000015150285,0.0008552282],"genre_scores_gemma":[0.00093415694,0.9971111,0.0012134068,0.0002587355,0.0001829979,0.000017827228,0.000049052913,0.000006062436,0.000226581],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99899274,0.000311373,0.0002127261,0.00016327192,0.0002752993,0.000044590066],"domain_scores_gemma":[0.9919477,0.0067472565,0.00039686583,0.0001465489,0.00066417246,0.00009747376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028966693,0.0012219923,0.0020317102,0.0054593836,0.00043276884,0.0018706929,0.0015199678,0.0017776154,0.005168496],"category_scores_gemma":[0.0081809005,0.0006415992,0.0015215803,0.0075610545,0.0009779703,0.0027571085,0.0010117872,0.0022254062,0.0019559453],"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":[0.000051980023,0.000064865635,0.00044596827,0.057335224,0.00029023446,0.00011743017,0.00014365018,0.0014421178,0.0004874513,0.01140343,0.021245074,0.9069725],"study_design_scores_gemma":[0.000019912166,0.000114405244,0.0019717861,0.040776853,0.00050217233,0.0005568941,0.0001259501,0.00076113536,0.00050130486,0.011098174,0.94351006,0.00006133519],"about_ca_topic_score_codex":0.0029154727,"about_ca_topic_score_gemma":0.0040666056,"teacher_disagreement_score":0.0054593836,"about_ca_system_score_codex":0.0014326929,"about_ca_system_score_gemma":0.0033789577,"threshold_uncertainty_score":0.017290354},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939757,0.0012328721,0.0035208806,0.000051345847,0.000017795795,0.00004425094,0.00016030275,0.00005862649,0.0009383657],"genre_scores_gemma":[0.974778,0.001288693,0.021573782,0.00010519737,0.000019322599,0.00012613635,0.0003787802,0.000012727832,0.0017174546],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989426,0.000024722269,0.000007794816,0.000027272255,0.000034905337,0.000011011235],"domain_scores_gemma":[0.9998946,0.000014216943,0.00004031456,0.000009415484,0.000016958817,0.000024559708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013007683,0.00022632795,0.00018713248,0.00028799268,0.00012896088,0.00025903597,0.00026193273,0.00017856545,0.00079856056],"category_scores_gemma":[0.00014109322,0.00005708064,0.00013808411,0.00013683409,0.00012405467,0.00025480762,0.00015731291,0.00019838593,0.000094201474],"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":[0.0003954768,0.00041885878,0.0048168804,0.00023372339,0.000038374812,0.00004795992,0.000038571143,0.00027626572,0.9487168,0.00012763066,0.00012061262,0.044768848],"study_design_scores_gemma":[0.0002885676,0.025581224,0.3419397,0.00018923139,0.0005880736,0.00084488105,0.00039368373,0.009736145,0.5900576,0.00041048907,0.029890144,0.00008023611],"about_ca_topic_score_codex":0.00077759754,"about_ca_topic_score_gemma":0.0023746272,"teacher_disagreement_score":0.00079856056,"about_ca_system_score_codex":0.00016754968,"about_ca_system_score_gemma":0.00018736906,"threshold_uncertainty_score":0.0026714206},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99932003,0.000078976525,0.000029397857,0.000084423256,0.0000012959035,0.0000068521204,0.000051471983,8.417805e-7,0.00042667196],"genre_scores_gemma":[0.9996001,0.000106361804,0.000024071871,0.000022444576,0.0000025726047,0.0000060853235,0.000055420056,4.0935717e-7,0.00018251671],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882287,0.00032540268,0.000084458145,0.00018643246,0.0002310963,0.0003497496],"domain_scores_gemma":[0.993715,0.001965844,0.0026661484,0.0003128215,0.00067064713,0.00066951796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016500957,0.00029265686,0.0002878365,0.0013282659,0.0009571963,0.0007631799,0.000510644,0.00047748777,0.0024677718],"category_scores_gemma":[0.0040345006,0.00016634716,0.00074399775,0.001909984,0.0011511123,0.0008334701,0.0009467875,0.00060894847,0.00015806276],"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":[0.00009506198,0.00025346814,0.9885732,0.000047261794,0.00007716766,0.00036755277,0.0020787846,0.00020149488,0.00028301988,0.00022076366,0.00016892316,0.0076333764],"study_design_scores_gemma":[0.0000074717263,0.000097694276,0.9964927,0.0000141392,0.000041155876,0.000025986112,0.0025162958,0.00035027997,0.00008177723,0.000059756454,0.00030636895,0.0000063200355],"about_ca_topic_score_codex":0.08024075,"about_ca_topic_score_gemma":0.103076726,"teacher_disagreement_score":0.08024075,"about_ca_system_score_codex":0.0018871122,"about_ca_system_score_gemma":0.0020088216,"threshold_uncertainty_score":0.15954739},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99942446,0.00014104426,0.00025952357,0.000007351789,0.00000239538,0.000014589619,0.000042237607,0.000005862419,0.000102614926],"genre_scores_gemma":[0.99579865,0.0004300383,0.002796397,0.00003013391,0.000005462687,0.000054506374,0.00030719503,0.0000077221075,0.0005698013],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998116,0.000026961241,0.00001617956,0.00005726806,0.000057394795,0.000030551088],"domain_scores_gemma":[0.99971944,0.00003500814,0.00011717433,0.000020011592,0.00002876433,0.00007967432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002283122,0.00032781612,0.00042677336,0.0003210938,0.00020263618,0.00025353246,0.00030688665,0.00021470485,0.0004016554],"category_scores_gemma":[0.00023553005,0.00018367123,0.00023497961,0.00025283243,0.00017297799,0.00022509546,0.00020957594,0.00025123876,0.00007604306],"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":[0.00040561112,0.00012952172,0.004330727,0.00008924177,0.00001771275,0.000046514167,0.00002509768,0.00022330311,0.9910965,0.000016919379,0.000015920592,0.0036029452],"study_design_scores_gemma":[0.00015819009,0.011507669,0.4624445,0.00004228631,0.00016798139,0.0003552661,0.00026742124,0.0045777424,0.5175477,0.00010383485,0.0027876874,0.000039641167],"about_ca_topic_score_codex":0.00508775,"about_ca_topic_score_gemma":0.010837959,"teacher_disagreement_score":0.00508775,"about_ca_system_score_codex":0.000550417,"about_ca_system_score_gemma":0.00046912135,"threshold_uncertainty_score":0.010116279},"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":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09527725,0.0005145055,0.9018941,0.00012283491,0.000088495086,0.00009390814,0.0005548483,0.00045701858,0.0009970502],"genre_scores_gemma":[0.5603477,0.00021283928,0.43699944,0.000050174363,0.00007806366,0.00011460409,0.0014331626,0.000076765275,0.00068725314],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986933,0.00022469224,0.00015187611,0.00029261463,0.00055869465,0.000078752404],"domain_scores_gemma":[0.998502,0.00040022278,0.0002876984,0.00017636718,0.000536763,0.00009698554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010886275,0.00046304785,0.0007051263,0.0031714072,0.00040025054,0.0008834527,0.00072222773,0.0004350643,0.0004187899],"category_scores_gemma":[0.0043009073,0.00017011343,0.0005161859,0.0021645383,0.00042136037,0.0012712459,0.00084546406,0.00065535144,0.00014085892],"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":[0.00044988518,0.0002666198,0.043889187,0.00039791307,0.0003404336,0.00024086656,0.00036937118,0.11551741,0.07725816,0.013750136,0.005240906,0.7422792],"study_design_scores_gemma":[0.00002668023,0.00027410773,0.034074657,0.000025822845,0.000058747166,0.00042390433,0.00015361146,0.93634695,0.014558379,0.005828524,0.00814714,0.00008145338],"about_ca_topic_score_codex":0.0040534562,"about_ca_topic_score_gemma":0.0048147626,"teacher_disagreement_score":0.0040534562,"about_ca_system_score_codex":0.0006928817,"about_ca_system_score_gemma":0.00063916825,"threshold_uncertainty_score":0.00805968},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70564467,0.0010665879,0.29012462,0.00008467669,0.000056236462,0.000121030316,0.00034013428,0.0005796256,0.0019823734],"genre_scores_gemma":[0.8989794,0.0009796955,0.09831472,0.00006578308,0.00001994658,0.00012792213,0.00022941925,0.000044921173,0.0012381711],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99937636,0.00011168385,0.000025309619,0.00013519521,0.00031846063,0.00003307898],"domain_scores_gemma":[0.99931765,0.00020010103,0.0001410304,0.00010692511,0.00021686009,0.00001750876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007566451,0.0007528168,0.00034490137,0.0006989967,0.00014140987,0.00028796523,0.00050316023,0.00053290743,0.00048675766],"category_scores_gemma":[0.0012181479,0.0002302493,0.00029694178,0.00090960745,0.00037024837,0.00051829655,0.00044562135,0.00039003213,0.00028251123],"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":[0.000111571615,0.000036759797,0.006469095,0.00018060413,0.000022369144,0.000080579965,0.0001396338,0.0032944512,0.93036324,0.00016067491,0.00016406456,0.05897692],"study_design_scores_gemma":[0.000008386068,0.00028153425,0.019434044,0.000020021738,0.000036977362,0.00030683549,0.00014793639,0.041983474,0.9359875,0.00020630768,0.0015398884,0.000047103913],"about_ca_topic_score_codex":0.0006505579,"about_ca_topic_score_gemma":0.0012718241,"teacher_disagreement_score":0.0007566451,"about_ca_system_score_codex":0.0002453255,"about_ca_system_score_gemma":0.00019501869,"threshold_uncertainty_score":0.0040016174},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99694985,0.0011816804,0.001110286,0.000051089355,0.00000828615,0.000015815713,0.000090552465,0.000056541325,0.00053588045],"genre_scores_gemma":[0.997523,0.0003414827,0.0014440697,0.00006048326,0.0000038030964,0.000010655901,0.00013176433,0.000010692936,0.0004740016],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998971,0.000023970077,0.0000075885946,0.000022691298,0.000021585016,0.000026977617],"domain_scores_gemma":[0.99983335,0.000018199911,0.00006851473,0.000011826228,0.000021357993,0.00004675236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028256967,0.0002592282,0.00024574922,0.00019783531,0.00012633692,0.0003600643,0.0001745024,0.00018910482,0.00084596453],"category_scores_gemma":[0.00015271023,0.00007127505,0.0002822697,0.00013742538,0.0001505878,0.00016685232,0.00022916275,0.00025182657,0.00015576565],"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":[0.00014787176,0.000043897417,0.0015872003,0.00009989153,0.000012255649,0.000024165865,0.000010004401,0.00005895669,0.9961319,0.000018469951,0.0000141583105,0.001851224],"study_design_scores_gemma":[0.0000632464,0.004325868,0.14907905,0.00005356025,0.00017495564,0.0006344301,0.00022455861,0.0019511759,0.83731973,0.00021925734,0.0059289406,0.000025130441],"about_ca_topic_score_codex":0.0006708775,"about_ca_topic_score_gemma":0.0012793476,"teacher_disagreement_score":0.00084596453,"about_ca_system_score_codex":0.00028816515,"about_ca_system_score_gemma":0.0001848949,"threshold_uncertainty_score":0.0028300285},"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":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002998939,0.98089933,0.00064149464,0.011166861,0.00032456333,0.000007907792,0.00008344145,0.000059680136,0.0038176642],"genre_scores_gemma":[0.02866841,0.9616818,0.002239181,0.0032051008,0.0009572753,0.000032801425,0.00024217957,0.000010182515,0.0029631443],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995146,0.00008911536,0.000073653195,0.00010975539,0.00010869158,0.00010427497],"domain_scores_gemma":[0.9948921,0.0022634515,0.00076356594,0.00013128191,0.00090023526,0.0010494096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051537403,0.0005311433,0.0011938495,0.0012596708,0.00065707316,0.0037716439,0.0013407698,0.003656744,0.010863896],"category_scores_gemma":[0.0022824167,0.00032447575,0.00045582314,0.0019369287,0.002155258,0.0058708685,0.0017538789,0.001891509,0.0019892873],"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":[0.0008627143,0.00029324848,0.0035492321,0.006253313,0.0000561693,0.00022068758,0.0003156742,0.0005368081,0.004105084,0.010579587,0.014282851,0.95894474],"study_design_scores_gemma":[0.000080455415,0.0015141611,0.01239515,0.006758396,0.00022542599,0.00096642494,0.002814504,0.0010111365,0.002439158,0.041159187,0.9305114,0.0001245019],"about_ca_topic_score_codex":0.0019864521,"about_ca_topic_score_gemma":0.004545691,"teacher_disagreement_score":0.010863896,"about_ca_system_score_codex":0.0011942226,"about_ca_system_score_gemma":0.0043032374,"threshold_uncertainty_score":0.036343396},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984281,0.00040427694,0.0007746458,0.000020022275,0.000010154394,0.000012560978,0.00005610317,0.000021036421,0.0002731202],"genre_scores_gemma":[0.9971853,0.000566435,0.0015663109,0.000026907608,0.0000053235644,0.000017031052,0.00011472671,0.000007051151,0.00051093014],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979514,0.00003710346,0.000019174966,0.00005125896,0.0000537113,0.00004361408],"domain_scores_gemma":[0.99988437,0.000016239934,0.000036462916,0.000010500909,0.00002588218,0.000026587413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002984079,0.00055565784,0.00041771954,0.00022300796,0.00018932493,0.0005889505,0.00024537812,0.00026821444,0.00041602092],"category_scores_gemma":[0.00020349701,0.00014174034,0.00042117023,0.00025804233,0.00017669695,0.00036491346,0.0003319748,0.00044332957,0.000111069785],"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":[0.00019570558,0.00008019892,0.00063354423,0.00007743151,0.0000145272525,0.000044874992,0.000018313938,0.00021438512,0.99596584,0.00001595079,0.000011990637,0.0027273602],"study_design_scores_gemma":[0.0000128135825,0.0016569315,0.010749703,0.000011126042,0.00006143437,0.00007203364,0.00010178832,0.0012531824,0.98522943,0.000017184579,0.0008210001,0.000013344338],"about_ca_topic_score_codex":0.00209876,"about_ca_topic_score_gemma":0.0028885577,"teacher_disagreement_score":0.00209876,"about_ca_system_score_codex":0.00030243778,"about_ca_system_score_gemma":0.00030131935,"threshold_uncertainty_score":0.0041730404},"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":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008670991,0.9639964,0.00039096543,0.022666179,0.0007203522,0.000031727013,0.00009916181,0.000007304621,0.0034169154],"genre_scores_gemma":[0.085962795,0.90781677,0.0006399271,0.0047252504,0.00024211698,0.000046837114,0.00005441336,0.000008203844,0.0005037006],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9975641,0.001401475,0.00031102114,0.0001985653,0.0002853984,0.00023955521],"domain_scores_gemma":[0.9904018,0.0073938123,0.0008430891,0.00009959938,0.0010706651,0.00019112878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062523563,0.0007261982,0.0012149307,0.0018750204,0.00084153743,0.0032555691,0.0008516297,0.0016882095,0.0016696872],"category_scores_gemma":[0.01604002,0.0003298227,0.0008255627,0.0036409653,0.0021012912,0.0046285447,0.0014462239,0.001916844,0.00022409351],"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":[0.00025507025,0.000057925383,0.0047211945,0.20223077,0.00058812636,0.005944451,0.07178317,0.0016537271,0.0032294462,0.039511453,0.038006436,0.63201827],"study_design_scores_gemma":[0.00007392373,0.00032145536,0.0097795045,0.17298804,0.0010589535,0.0019677645,0.0643057,0.00026885662,0.001482577,0.019484295,0.7281904,0.000078440695],"about_ca_topic_score_codex":0.015211962,"about_ca_topic_score_gemma":0.027062021,"teacher_disagreement_score":0.015211962,"about_ca_system_score_codex":0.0030322657,"about_ca_system_score_gemma":0.010554018,"threshold_uncertainty_score":0.033066034},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973955,0.0012637065,0.00060476334,0.000029759332,0.00003756504,0.000029386862,0.00011896595,0.00001853224,0.00050169474],"genre_scores_gemma":[0.9950805,0.001106278,0.0026578896,0.000049836144,0.000011005981,0.000029628343,0.0001868459,0.000020702724,0.0008574648],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975175,0.00004327217,0.00003308251,0.00005763989,0.00005781529,0.000056449506],"domain_scores_gemma":[0.999635,0.00007740006,0.00012963232,0.000017004253,0.00006763925,0.00007331676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034004028,0.0006088745,0.00049816346,0.00029214946,0.00022746308,0.00062524865,0.0002158753,0.00030760432,0.00085292826],"category_scores_gemma":[0.0005288235,0.00016217829,0.00034196157,0.0002857829,0.00015410483,0.00042630723,0.0003188459,0.00065937045,0.00016841589],"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":[0.0012443427,0.00030376652,0.00047189917,0.00014069233,0.000016887725,0.000049781793,0.00003610705,0.00028537228,0.9939621,0.000018880322,0.00002941005,0.0034405831],"study_design_scores_gemma":[0.000021860647,0.0023979717,0.0072027813,0.00003564314,0.00005910001,0.000028211593,0.0000771453,0.0007202496,0.9884129,0.000014088111,0.0010135312,0.000016363361],"about_ca_topic_score_codex":0.0011679783,"about_ca_topic_score_gemma":0.0025402931,"teacher_disagreement_score":0.0011679783,"about_ca_system_score_codex":0.00025701209,"about_ca_system_score_gemma":0.0003523249,"threshold_uncertainty_score":0.0028533936},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.115452744,0.0017274366,0.85713345,0.00041662517,0.00029631652,0.00017507443,0.0039808773,0.01586424,0.00495333],"genre_scores_gemma":[0.6391804,0.0012395579,0.3221347,0.00074921886,0.00013443646,0.00033320687,0.017309902,0.0005178284,0.01840073],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998029,0.000015201913,0.0000090895355,0.00009370357,0.000044108627,0.000035041794],"domain_scores_gemma":[0.999811,0.000035123514,0.00003228326,0.000029220619,0.00007453666,0.000017934426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028868215,0.0021443255,0.00081662135,0.0009417349,0.0003501831,0.00064677506,0.002583176,0.0009353096,0.0015608699],"category_scores_gemma":[0.0006776746,0.0004498256,0.00075757154,0.00087095477,0.00034227892,0.0012237174,0.00093525037,0.0011352093,0.00092431024],"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":[0.00036575674,0.00037325354,0.009494349,0.0003039116,0.00023148306,0.0003027168,0.00009156353,0.36582047,0.02083602,0.0028303224,0.025073439,0.5742768],"study_design_scores_gemma":[0.000009589361,0.000044969835,0.00092007796,0.00001501068,0.000019201607,0.000039670642,0.00001861373,0.99143386,0.004219162,0.0014682913,0.0017998796,0.0000117567515],"about_ca_topic_score_codex":0.016631769,"about_ca_topic_score_gemma":0.030862473,"teacher_disagreement_score":0.016631769,"about_ca_system_score_codex":0.0009800872,"about_ca_system_score_gemma":0.001055296,"threshold_uncertainty_score":0.03306997},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040243212,0.00015792754,0.9577212,0.00006278109,0.000024805964,0.00007841435,0.00010425569,0.0010234627,0.0005840746],"genre_scores_gemma":[0.21237834,0.00018302187,0.7859785,0.00004177342,0.000029368266,0.0001264253,0.0002956144,0.00015049572,0.0008164094],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99960166,0.000039382052,0.000016357495,0.00011037146,0.00018999755,0.00004232175],"domain_scores_gemma":[0.9995857,0.00008687167,0.000050142477,0.00008618666,0.00015322161,0.000037888134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048507765,0.0005635636,0.0004616265,0.0010917333,0.00025059117,0.0006796198,0.0010913169,0.0006529497,0.0014122718],"category_scores_gemma":[0.0008318579,0.00058085384,0.00057245,0.00060253934,0.00032372214,0.0008412143,0.0010871533,0.00054388295,0.000611017],"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":[0.00034278553,0.00012310845,0.005661209,0.00024947454,0.00010409607,0.0005852834,0.0006476606,0.05055034,0.59668916,0.001939029,0.0023614133,0.3407465],"study_design_scores_gemma":[0.000035248253,0.0002490841,0.011865315,0.000034182973,0.000060564744,0.0011785763,0.000283438,0.8939988,0.08508627,0.0012198427,0.0058932914,0.00009543167],"about_ca_topic_score_codex":0.0025100855,"about_ca_topic_score_gemma":0.0039930237,"teacher_disagreement_score":0.0025100855,"about_ca_system_score_codex":0.00026023432,"about_ca_system_score_gemma":0.0006146392,"threshold_uncertainty_score":0.0049909353},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99937844,0.00019692713,0.00014094647,0.000007750482,0.0000019748456,0.0000094547295,0.000053508218,0.0000047773838,0.00020626669],"genre_scores_gemma":[0.99884856,0.00016528455,0.00047411778,0.000022676084,0.0000015123322,0.000015164694,0.00019158666,0.0000044418557,0.0002766549],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99969494,0.000066626744,0.000029353407,0.00007779641,0.00008795367,0.000043403787],"domain_scores_gemma":[0.99925786,0.0002819776,0.0002126602,0.000045097193,0.000095036085,0.00010735345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028578372,0.00033343895,0.00017639613,0.00028575948,0.00022275974,0.00047248,0.00022354911,0.0001741623,0.00046817164],"category_scores_gemma":[0.00058329874,0.00017717,0.00015165917,0.00022964066,0.00021914368,0.0003069247,0.00026708987,0.00033216062,0.000091010355],"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":[0.0008444962,0.0002451061,0.02635362,0.00014394513,0.00006711578,0.0001410899,0.00018602089,0.00051686144,0.9622838,0.00003190328,0.000057767167,0.009128283],"study_design_scores_gemma":[0.000031502037,0.005179523,0.7096212,0.000023655197,0.00015426596,0.00030888154,0.0005316948,0.0014852962,0.28080836,0.000082353916,0.0017329187,0.000040417526],"about_ca_topic_score_codex":0.0040304293,"about_ca_topic_score_gemma":0.012509605,"teacher_disagreement_score":0.0040304293,"about_ca_system_score_codex":0.0005464475,"about_ca_system_score_gemma":0.00022874863,"threshold_uncertainty_score":0.008013964},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997291,0.000078495184,0.0021693804,0.000009114095,0.0000020082564,0.000009153789,0.00022052637,0.000028314756,0.0001919756],"genre_scores_gemma":[0.98975325,0.000064772874,0.009562088,0.000009217989,0.0000016534983,0.000015195082,0.00039422783,0.000004823208,0.00019479165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999435,0.0000095010955,0.0000028481902,0.000025465952,0.0000096352105,0.000008974257],"domain_scores_gemma":[0.99981636,0.000038394202,0.00004557659,0.00001584533,0.00006068206,0.000023265216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022530482,0.00021779201,0.00017456381,0.00071509613,0.00014985113,0.00027377464,0.00016332448,0.00019207304,0.00022906205],"category_scores_gemma":[0.00031239327,0.00013871018,0.00016115687,0.00037919634,0.000083246,0.00015410072,0.00013185714,0.00013146583,0.00008595531],"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":[0.00028941166,0.00017330892,0.7467729,0.00009850014,0.00009300387,0.00022157714,0.00034209204,0.010435392,0.16521096,0.0000693006,0.00055791886,0.075735725],"study_design_scores_gemma":[0.0000064433043,0.00007424028,0.9546234,0.000008946384,0.000026126982,0.00010908087,0.0001799778,0.03923481,0.005432175,0.000023812901,0.00027220632,0.000008679861],"about_ca_topic_score_codex":0.014441756,"about_ca_topic_score_gemma":0.027341109,"teacher_disagreement_score":0.014441756,"about_ca_system_score_codex":0.00030300458,"about_ca_system_score_gemma":0.0001809192,"threshold_uncertainty_score":0.028715372},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99707687,0.0018819531,0.00033470598,0.000029840812,0.0000166862,0.000016658216,0.00014015168,0.000021933762,0.0004812647],"genre_scores_gemma":[0.9973598,0.00086045975,0.0007593285,0.00005110997,0.0000069635917,0.000018286617,0.00019828888,0.000015006483,0.0007307536],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997168,0.000052968317,0.000033759956,0.00006831468,0.00007931053,0.000048908045],"domain_scores_gemma":[0.99940693,0.00019195079,0.00015703798,0.000029414887,0.00009667129,0.00011806408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023292433,0.0006545653,0.0004136683,0.0003960895,0.00022683153,0.00041446227,0.00013592391,0.00027296384,0.00047170147],"category_scores_gemma":[0.000492134,0.00024662734,0.0005215565,0.00027439633,0.00024899738,0.00029065035,0.0002016455,0.00051617116,0.00010674487],"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":[0.000562878,0.000076017306,0.0057766507,0.00026902865,0.00007035657,0.00012473266,0.000094538154,0.00019919642,0.98724097,0.000021352535,0.000047492493,0.0055167656],"study_design_scores_gemma":[0.000017561943,0.002250213,0.14995609,0.0000242279,0.00019684383,0.00017828018,0.00027630804,0.00091883796,0.844839,0.000029252757,0.0012803226,0.000033047025],"about_ca_topic_score_codex":0.0030522558,"about_ca_topic_score_gemma":0.0049610306,"teacher_disagreement_score":0.0030522558,"about_ca_system_score_codex":0.00029829438,"about_ca_system_score_gemma":0.00028411215,"threshold_uncertainty_score":0.0060690045},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980921,0.000109660774,0.000039319355,0.00006174599,0.0000019677345,0.0000062938634,0.000069169975,0.0000011478253,0.0016184625],"genre_scores_gemma":[0.9995746,0.00015905054,0.000043061038,0.000017331444,0.0000026102687,0.0000035663854,0.00005783482,6.0253393e-7,0.00014137616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995005,0.00016510797,0.000038776958,0.00004906357,0.00014820098,0.000098345656],"domain_scores_gemma":[0.9982589,0.000381641,0.00044538535,0.00013408874,0.0005038464,0.00027608318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008756955,0.000256235,0.00019850608,0.0012293345,0.00060589955,0.0005985168,0.0002344709,0.00011310413,0.0013154924],"category_scores_gemma":[0.001725939,0.000116174626,0.00045657804,0.001675577,0.0005779438,0.0003205674,0.0009374347,0.00023099867,0.00008820236],"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":[0.00008449578,0.00007792866,0.9717767,0.0002080116,0.00016122665,0.0004796279,0.0050101546,0.00051417097,0.0010598509,0.000381425,0.0004343994,0.019811932],"study_design_scores_gemma":[0.0000016629705,0.00004472872,0.9961259,0.000016884249,0.00003437014,0.00004134892,0.0028852785,0.00027410273,0.00015901944,0.000035001594,0.00037691862,0.0000046829878],"about_ca_topic_score_codex":0.042259764,"about_ca_topic_score_gemma":0.06570663,"teacher_disagreement_score":0.042259764,"about_ca_system_score_codex":0.00086475484,"about_ca_system_score_gemma":0.0012260339,"threshold_uncertainty_score":0.08402753},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99071383,0.001389301,0.006686399,0.000086999826,0.00002008454,0.000031403324,0.00011080334,0.00010250479,0.00085859036],"genre_scores_gemma":[0.9881295,0.0010317195,0.009708617,0.000027134634,0.000010552336,0.00003244105,0.00021181355,0.000022119963,0.00082608627],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997979,0.00003466162,0.00002017434,0.000038886796,0.0000769825,0.000031476113],"domain_scores_gemma":[0.9999269,0.000012178161,0.00002805229,0.0000063677485,0.000013130627,0.000013404836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024244936,0.00056109007,0.0002611022,0.00028079076,0.00014959814,0.0005285013,0.00026373926,0.00028820857,0.00041118063],"category_scores_gemma":[0.00017368866,0.00012736337,0.0003191476,0.00021856568,0.00019259921,0.0004059668,0.000468525,0.000347037,0.00019171425],"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":[0.00004390036,0.000025595966,0.00015926603,0.00004797221,0.000004384273,0.000025152796,0.000007438841,0.0001615262,0.996942,0.000030499099,0.0000115169,0.0025407001],"study_design_scores_gemma":[0.0000040232785,0.00017145308,0.00078920636,0.000004030345,0.000009003209,0.000048797254,0.000017407263,0.00092046976,0.9971554,0.0000121599605,0.00086338335,0.0000045815577],"about_ca_topic_score_codex":0.00048126397,"about_ca_topic_score_gemma":0.0010511787,"teacher_disagreement_score":0.00056109007,"about_ca_system_score_codex":0.0002127372,"about_ca_system_score_gemma":0.00021125899,"threshold_uncertainty_score":0.0015435815},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8144723,0.15598033,0.013894533,0.0012514122,0.0001825035,0.00011752651,0.00072525366,0.00033459504,0.013041458],"genre_scores_gemma":[0.97285604,0.021433843,0.0030286487,0.00020896737,0.00004361932,0.000035014225,0.00019208925,0.000008972883,0.0021928612],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99987435,0.000023424285,0.000009438362,0.000026057816,0.00003186945,0.00003485352],"domain_scores_gemma":[0.9999186,0.000009766859,0.000027263999,0.000005132005,0.000019141591,0.000019991236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021683518,0.0005364147,0.00029726696,0.00044936448,0.00028279526,0.0005185246,0.00019695671,0.0005046002,0.00058018183],"category_scores_gemma":[0.00009154531,0.00014074023,0.0003478875,0.00021774073,0.00024234001,0.00043474277,0.0002125144,0.0004932017,0.00018965067],"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":[0.00005653175,0.00004065958,0.00083827483,0.0003929826,0.000022409833,0.00014194971,0.00004590002,0.000112098656,0.9896241,0.00055888854,0.00010144438,0.008064725],"study_design_scores_gemma":[0.00007035092,0.0014327826,0.14157172,0.00023347524,0.00030505966,0.0018065984,0.0007142292,0.0036404275,0.8069806,0.004119904,0.039044004,0.00008080701],"about_ca_topic_score_codex":0.0004477907,"about_ca_topic_score_gemma":0.00090016826,"teacher_disagreement_score":0.00058018183,"about_ca_system_score_codex":0.00023286683,"about_ca_system_score_gemma":0.00027600917,"threshold_uncertainty_score":0.001940906},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99764806,0.00048008456,0.00018626433,0.000032486572,0.000004606645,0.000027533688,0.000966581,0.000010858523,0.00064342323],"genre_scores_gemma":[0.99494874,0.00040897672,0.0005452939,0.00004968984,0.0000020467005,0.000018140658,0.0012187058,0.00000576765,0.002802534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997546,0.000009870628,0.0000074571676,0.0000925105,0.000077686425,0.00005781148],"domain_scores_gemma":[0.9994956,0.000028824748,0.00006931058,0.000010842971,0.000313486,0.00008180486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002037665,0.0003881314,0.00030827604,0.00052816037,0.0012751312,0.00077875325,0.0005560168,0.00032164008,0.00084913557],"category_scores_gemma":[0.00020186827,0.00013834085,0.00021010374,0.0008006884,0.0003621484,0.0002689327,0.00021008591,0.00030124583,0.00014400698],"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":[0.0014780646,0.00027918568,0.5928599,0.00046413657,0.0002719418,0.0012257809,0.0019548617,0.001872739,0.3604145,0.00014496442,0.0013845088,0.037649423],"study_design_scores_gemma":[0.000013072176,0.00026858368,0.9875613,0.0000137032075,0.000034403438,0.00009102517,0.0006978173,0.00088126905,0.0073232385,0.000009775214,0.0030854563,0.000020380854],"about_ca_topic_score_codex":0.96432334,"about_ca_topic_score_gemma":0.9871459,"teacher_disagreement_score":0.03567666,"about_ca_system_score_codex":0.014335413,"about_ca_system_score_gemma":0.0060769175,"threshold_uncertainty_score":0.10401124},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996767,0.00014086878,0.000079586775,0.0000065102413,6.088939e-7,0.0000012190828,0.000011760608,0.0000012632912,0.000081366954],"genre_scores_gemma":[0.9991279,0.0001386284,0.00021270274,0.000019154038,0.0000014717716,0.000004255627,0.000043176355,0.000002269202,0.00045043536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997675,0.0000894616,0.0000123071495,0.000050227125,0.000040222036,0.000040341853],"domain_scores_gemma":[0.99963737,0.00015363428,0.0000954604,0.0000151444565,0.000033574783,0.00006476833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032106106,0.00018938613,0.00033141035,0.00024107576,0.00027613578,0.00033395848,0.00013992304,0.00022294569,0.0004287517],"category_scores_gemma":[0.0005908177,0.00026702927,0.00013256301,0.0001592646,0.00034901543,0.00017685808,0.00021107275,0.00029568834,0.00009474155],"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":[0.0064976197,0.0004036682,0.6594365,0.00011084769,0.00016580474,0.00090152194,0.0010807106,0.00041910313,0.31255528,0.00010635565,0.00009868038,0.0182239],"study_design_scores_gemma":[0.000016003361,0.0024491765,0.98191744,0.00000936653,0.00010818512,0.00038040653,0.00054367696,0.00095400994,0.013037899,0.0000780209,0.000496332,0.000009423874],"about_ca_topic_score_codex":0.006213617,"about_ca_topic_score_gemma":0.015786821,"teacher_disagreement_score":0.006213617,"about_ca_system_score_codex":0.00032587734,"about_ca_system_score_gemma":0.00030958935,"threshold_uncertainty_score":0.012354851},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19434632,0.00042636044,0.7993531,0.00014351749,0.000045497396,0.00026537498,0.00047966346,0.0031614313,0.0017787175],"genre_scores_gemma":[0.6239984,0.00014505627,0.37304255,0.000059000762,0.000015545793,0.00016782206,0.0012535827,0.00012437056,0.0011936647],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99967146,0.00004930068,0.000016318561,0.00011234366,0.00009099724,0.00005951092],"domain_scores_gemma":[0.99971086,0.000049740138,0.000041429957,0.000039416565,0.00013736796,0.0000211295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066002243,0.0008403383,0.00054554176,0.0020923284,0.00046125773,0.00050190283,0.0007646683,0.00033833564,0.0009483443],"category_scores_gemma":[0.0009789664,0.00027811367,0.00062094524,0.0015609902,0.00025724448,0.0006590601,0.00058532646,0.00032472363,0.00033214004],"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":[0.00033392734,0.00023655611,0.025687184,0.00014509245,0.00022400357,0.00014810335,0.0003293682,0.22178048,0.047689684,0.0029594244,0.00567045,0.69479567],"study_design_scores_gemma":[0.0000387908,0.00007185565,0.015591749,0.000012041286,0.000052954536,0.00009358739,0.00015868699,0.97129697,0.00872375,0.0011911211,0.0027206722,0.00004779201],"about_ca_topic_score_codex":0.02315312,"about_ca_topic_score_gemma":0.037178017,"teacher_disagreement_score":0.02315312,"about_ca_system_score_codex":0.00055877544,"about_ca_system_score_gemma":0.0012016207,"threshold_uncertainty_score":0.04603672},"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":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023100916,0.98040956,0.0006016146,0.010211683,0.0005748113,0.000013189295,0.00020942384,0.000008738143,0.0056609022],"genre_scores_gemma":[0.026801014,0.96753925,0.0008086902,0.0033102112,0.0008227188,0.000029923953,0.00018405932,0.000009734815,0.0004944834],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99828655,0.00068165216,0.00021220079,0.0003981642,0.0002939465,0.0001275439],"domain_scores_gemma":[0.97091854,0.024950817,0.0018753309,0.00041713382,0.0014240707,0.00041407382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004299927,0.00061685574,0.0013757554,0.0024714977,0.00079735386,0.0061227083,0.0010879211,0.0023291737,0.011695026],"category_scores_gemma":[0.013141281,0.00032742103,0.00091929483,0.0039999057,0.0030949295,0.0075229323,0.0016476898,0.002267636,0.0013276708],"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":[0.00022937253,0.00010633357,0.0036799507,0.13078229,0.00042487576,0.00057590276,0.006481953,0.0003458669,0.00081362133,0.050588686,0.022943184,0.78302807],"study_design_scores_gemma":[0.000015328598,0.00012778614,0.007252525,0.15223041,0.00052464544,0.0011149369,0.012454555,0.00019120636,0.00034841613,0.03597741,0.7896981,0.00006471997],"about_ca_topic_score_codex":0.0037511077,"about_ca_topic_score_gemma":0.0058211046,"teacher_disagreement_score":0.011695026,"about_ca_system_score_codex":0.001405577,"about_ca_system_score_gemma":0.0068519074,"threshold_uncertainty_score":0.039123774},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99187696,0.00006220049,0.007248868,0.0000518327,0.0000048419224,0.000008357272,0.00020465694,0.00015014832,0.00039213253],"genre_scores_gemma":[0.99758923,0.000017707307,0.0021546544,0.0000044107505,0.0000013770614,0.000004307803,0.0001370975,0.0000046186196,0.00008657447],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999043,0.000019823427,0.00000649486,0.00003836555,0.000014055654,0.000016976988],"domain_scores_gemma":[0.99968326,0.00012670737,0.00007656668,0.000024085974,0.000057804493,0.000031665822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003902406,0.0003433203,0.00021706891,0.000885615,0.00018933485,0.00040673552,0.0003568131,0.00035648415,0.00051304343],"category_scores_gemma":[0.0008251459,0.00013639066,0.0005355344,0.00040613904,0.0001251752,0.0003861061,0.00030594572,0.00015941546,0.00009495916],"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":[0.00009834449,0.0000847464,0.18019697,0.000033545464,0.00008711667,0.00013043298,0.00007572517,0.7971461,0.0048997016,0.00033567465,0.00023258735,0.016679069],"study_design_scores_gemma":[0.0000020818018,0.000013681353,0.01731085,0.0000023369903,0.0000067514156,0.000014864288,0.000023326096,0.9822734,0.00023098187,0.000060099002,0.00005703914,0.0000046138985],"about_ca_topic_score_codex":0.023470493,"about_ca_topic_score_gemma":0.019351121,"teacher_disagreement_score":0.023470493,"about_ca_system_score_codex":0.00064565847,"about_ca_system_score_gemma":0.0002900624,"threshold_uncertainty_score":0.046667755},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99638903,0.0012867862,0.00067206623,0.00008238341,0.000016717966,0.000028429648,0.00073782087,0.000015941352,0.00077070587],"genre_scores_gemma":[0.99432606,0.0014934624,0.0018917241,0.0000985593,0.000013371614,0.000059761795,0.00085461786,0.000012813131,0.0012497072],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99967766,0.00004476389,0.000022746282,0.00010912438,0.00006475513,0.00008101891],"domain_scores_gemma":[0.99985063,0.00001810736,0.000043712233,0.0000073034453,0.000047259415,0.00003296572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023024906,0.00046200183,0.000360322,0.00030850596,0.0002450478,0.00077976764,0.00012814596,0.00037598927,0.00060387974],"category_scores_gemma":[0.00026992013,0.00014499822,0.00026583511,0.00026387884,0.00017860341,0.00046272093,0.00042181753,0.00038684314,0.0001759696],"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":[0.00022481894,0.00009864182,0.02293507,0.00021452927,0.00003765671,0.00010860726,0.00022514744,0.00011431264,0.9672803,0.000046085595,0.000105512,0.008609225],"study_design_scores_gemma":[0.00002531476,0.0017790906,0.57137704,0.000108471,0.00018893699,0.00074582355,0.002305741,0.0023719543,0.4133307,0.00031805024,0.007376098,0.00007281822],"about_ca_topic_score_codex":0.002052622,"about_ca_topic_score_gemma":0.0029701006,"teacher_disagreement_score":0.002052622,"about_ca_system_score_codex":0.00017985796,"about_ca_system_score_gemma":0.0003731791,"threshold_uncertainty_score":0.004081309},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989998,0.0003221988,0.00011986463,0.000014406908,0.0000053469457,0.00001729939,0.00021850059,0.00000506257,0.00029760605],"genre_scores_gemma":[0.99790716,0.00029981995,0.0006030576,0.000064813656,0.000005876513,0.00004489554,0.00052860583,0.0000052500786,0.0005405531],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99956733,0.000057340618,0.000032556738,0.00016736679,0.00009644074,0.000079034275],"domain_scores_gemma":[0.99944574,0.000097550794,0.00014506748,0.00003434887,0.0001537354,0.00012349607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002850107,0.00038993437,0.0003893664,0.00034191526,0.00029501898,0.00045703902,0.00023694185,0.0002963959,0.00046326022],"category_scores_gemma":[0.00042354706,0.0001489248,0.00024884503,0.0002689096,0.00024755838,0.00025084743,0.00030254765,0.0002948216,0.000102701575],"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":[0.0009743855,0.00011441617,0.04413565,0.00017270577,0.00010576045,0.00012272137,0.00016605183,0.00011774423,0.94864494,0.00002636865,0.00006170465,0.005357556],"study_design_scores_gemma":[0.0000151053755,0.0014473144,0.92548794,0.000015949956,0.00007806539,0.0001045691,0.00038890186,0.00045014924,0.070700414,0.000034373992,0.0012618062,0.000015371681],"about_ca_topic_score_codex":0.017179623,"about_ca_topic_score_gemma":0.038419914,"teacher_disagreement_score":0.017179623,"about_ca_system_score_codex":0.0009370798,"about_ca_system_score_gemma":0.00074340316,"threshold_uncertainty_score":0.034159243},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99928916,0.000021312379,0.00011344136,0.000054748267,6.9903393e-7,0.000023143746,0.000014857326,6.1001646e-7,0.00048197087],"genre_scores_gemma":[0.9992538,0.00006030217,0.00016206621,0.000012669408,8.842778e-7,0.000025735599,0.000013445701,2.6521226e-7,0.00047089963],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918133,0.00042259763,0.000034146906,0.00008275899,0.000079245365,0.00019990152],"domain_scores_gemma":[0.9982687,0.0008441391,0.0004653976,0.000073463096,0.00012926392,0.00021903455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016123564,0.00014853706,0.00018749271,0.00020681234,0.0005680892,0.00063640106,0.00022303454,0.00029214472,0.0018380685],"category_scores_gemma":[0.0035550317,0.00009750504,0.000114181705,0.0002376031,0.0003215276,0.00055879913,0.0005832412,0.00026876072,0.00015221507],"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":[0.0005479582,0.0016562028,0.7995562,0.00020733941,0.000051264193,0.000940299,0.040549006,0.0009318798,0.0096717095,0.0009389942,0.00037512748,0.14457402],"study_design_scores_gemma":[0.00003222048,0.0012745593,0.91860044,0.0001221911,0.000032895412,0.0003073402,0.07029447,0.0016549303,0.001933701,0.00071759423,0.0050089867,0.00002068644],"about_ca_topic_score_codex":0.0023752272,"about_ca_topic_score_gemma":0.008093898,"teacher_disagreement_score":0.0023752272,"about_ca_system_score_codex":0.000479443,"about_ca_system_score_gemma":0.00095058326,"threshold_uncertainty_score":0.0085270405},"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":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053960234,0.010726997,0.9204758,0.000852163,0.00004879154,0.00073850475,0.0016778773,0.0005392903,0.010980348],"genre_scores_gemma":[0.3517206,0.013214191,0.6267472,0.00018583225,0.00008739094,0.0009539028,0.0022051726,0.00022212401,0.0046635647],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9929426,0.0021248537,0.0004421686,0.0006322891,0.0037091163,0.00014899435],"domain_scores_gemma":[0.9921468,0.0036695586,0.000875472,0.0007253628,0.0024845025,0.0000983446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010179392,0.0010386414,0.001002886,0.006323221,0.0006853463,0.0027949095,0.00096569234,0.000856333,0.0012213826],"category_scores_gemma":[0.010923234,0.0004307211,0.0015810379,0.0054675555,0.00060711865,0.002385123,0.0016194022,0.0007625024,0.00047798007],"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":[0.00010745679,0.00034111354,0.07609064,0.0018023339,0.00084293354,0.00018221408,0.00079295697,0.060722884,0.00685741,0.015777722,0.0036967562,0.8327855],"study_design_scores_gemma":[0.000049292154,0.0006288455,0.21024382,0.0021741563,0.0009771204,0.0010681017,0.0025701344,0.595886,0.030310344,0.06951199,0.086199194,0.0003809854],"about_ca_topic_score_codex":0.008352626,"about_ca_topic_score_gemma":0.012007911,"teacher_disagreement_score":0.010179392,"about_ca_system_score_codex":0.001574197,"about_ca_system_score_gemma":0.0028075234,"threshold_uncertainty_score":0.05383438},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930021,0.0005350183,0.0009915072,0.00017263796,0.000008336923,0.000019854242,0.0006256937,0.00001244585,0.0046324106],"genre_scores_gemma":[0.99772567,0.0006382974,0.000423369,0.000022579421,0.0000040617942,0.0000107532305,0.0006438477,0.0000050667277,0.00052642333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982613,0.0000629765,0.000009913487,0.000022153134,0.000032431624,0.000046506557],"domain_scores_gemma":[0.99971086,0.00007983762,0.00010794903,0.000017627506,0.000044531527,0.000039136128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005318188,0.00044515816,0.00023905537,0.001438082,0.00032605912,0.0011306194,0.00028032615,0.0003567286,0.0012433099],"category_scores_gemma":[0.0007331986,0.00015077401,0.00067047833,0.002169222,0.00041773808,0.0011226187,0.0013739897,0.0003929976,0.000100868165],"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":[0.00032266293,0.00018418526,0.5288802,0.0002456004,0.00062861346,0.0045231734,0.001136726,0.41973832,0.0017987427,0.012318552,0.0026791948,0.027543982],"study_design_scores_gemma":[0.000034938996,0.00040600705,0.72511244,0.00016369043,0.00029240898,0.0011381581,0.009605211,0.24261026,0.0020209034,0.008668958,0.009882342,0.00006472944],"about_ca_topic_score_codex":0.016475243,"about_ca_topic_score_gemma":0.0101389885,"teacher_disagreement_score":0.016475243,"about_ca_system_score_codex":0.0012363436,"about_ca_system_score_gemma":0.00055123074,"threshold_uncertainty_score":0.032758653},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95673263,0.0005861169,0.0030646184,0.004127149,0.000033260058,0.0004813522,0.0004844378,0.00003661304,0.034453817],"genre_scores_gemma":[0.987844,0.00072599814,0.0036522208,0.0003289034,0.0000047849776,0.00013740303,0.00019968566,0.000018948427,0.0070879566],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9974203,0.0012218008,0.00004126343,0.00014526861,0.00028424585,0.000887087],"domain_scores_gemma":[0.997124,0.0012236506,0.00012451442,0.00012225035,0.0005294541,0.00087611645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002913113,0.0005190975,0.00032849624,0.0007916202,0.019068623,0.0031485597,0.0026826626,0.0021939978,0.0040860493],"category_scores_gemma":[0.0037316,0.00035709608,0.000522133,0.0028287342,0.004951001,0.0014300627,0.002972851,0.0019305695,0.00022490905],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078949507,0.0012960901,0.058263697,0.0009960823,0.00015146412,0.070092015,0.62697786,0.0653109,0.0039341226,0.08231877,0.022198698,0.06767085],"study_design_scores_gemma":[0.00005286193,0.00026265177,0.020102222,0.00034409712,0.000041921965,0.0011699218,0.87708926,0.01002917,0.0010026324,0.004571055,0.08522126,0.000112922884],"about_ca_topic_score_codex":0.9535039,"about_ca_topic_score_gemma":0.9864694,"teacher_disagreement_score":0.06454334,"about_ca_system_score_codex":0.06454334,"about_ca_system_score_gemma":0.052030466,"threshold_uncertainty_score":0.4682969},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993272,0.0001581039,0.00026112955,0.000020632231,0.0000027049948,0.000002169981,0.00008342319,0.0000036267286,0.00014108837],"genre_scores_gemma":[0.99945396,0.000048979935,0.00022566662,0.000008841788,0.0000046603527,0.0000045015217,0.00012768916,0.0000029046332,0.00012288171],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99957937,0.00012977737,0.000029338204,0.00016214594,0.000049183018,0.000050240287],"domain_scores_gemma":[0.9986319,0.0007553176,0.00030209174,0.00008798667,0.000070885006,0.0001517915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009860754,0.00021136597,0.00024622487,0.00081603485,0.00032037648,0.00039004255,0.00024498213,0.00033217837,0.0011048217],"category_scores_gemma":[0.0010616685,0.00013183527,0.000530637,0.0006181028,0.00041159004,0.00015265316,0.00032577172,0.00031808656,0.00009070702],"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":[0.0004195213,0.00004859367,0.98299545,0.000023954013,0.00046919097,0.00044820626,0.00026774837,0.00015943008,0.013029094,0.00009594918,0.00007787725,0.0019648855],"study_design_scores_gemma":[0.000005885036,0.000051501007,0.9990362,0.000002725284,0.000103682774,0.00016902432,0.000069565656,0.00022183338,0.00021330964,0.000023118237,0.00010036015,0.0000027793428],"about_ca_topic_score_codex":0.002270312,"about_ca_topic_score_gemma":0.0026463505,"teacher_disagreement_score":0.002270312,"about_ca_system_score_codex":0.0001358577,"about_ca_system_score_gemma":0.00016175883,"threshold_uncertainty_score":0.00521487},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99706715,0.0014147037,0.000685064,0.000062102365,0.000022773658,0.000023615838,0.000109901855,0.000045012872,0.0005697021],"genre_scores_gemma":[0.99647635,0.00069671246,0.0012841638,0.00011510077,0.00000779138,0.00003517369,0.00026217572,0.000015579275,0.0011069329],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999161,0.00001589495,0.000008444724,0.000016130085,0.000019251242,0.000024108109],"domain_scores_gemma":[0.99987984,0.000010995587,0.000041961168,0.000004162174,0.0000198735,0.00004318693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011221805,0.0006238008,0.00040599407,0.0002334092,0.00017833983,0.00028641603,0.00019749266,0.00034599655,0.0009030587],"category_scores_gemma":[0.00006972939,0.00013041365,0.0002679088,0.00014720364,0.00012714326,0.00019495825,0.0002691754,0.00066138,0.00013174053],"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":[0.00016966106,0.00003323353,0.00011919058,0.00007972812,0.0000054657785,0.000019729952,0.0000067835813,0.000018958228,0.9985281,0.000008270704,0.000011961048,0.0009988341],"study_design_scores_gemma":[0.00006793887,0.0040119947,0.029819563,0.000028656017,0.00006722849,0.00015889591,0.00010925079,0.00074385316,0.9629955,0.000038256607,0.0019383068,0.000020447353],"about_ca_topic_score_codex":0.00108697,"about_ca_topic_score_gemma":0.002860587,"teacher_disagreement_score":0.00108697,"about_ca_system_score_codex":0.00021413241,"about_ca_system_score_gemma":0.00020538176,"threshold_uncertainty_score":0.0030210614},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9415197,0.020168206,0.01935299,0.0005181124,0.00029510458,0.00019367019,0.00054241373,0.00021360196,0.017196307],"genre_scores_gemma":[0.95770204,0.008417335,0.021914767,0.00026968677,0.00006732782,0.00007273662,0.00040826516,0.000081750426,0.011066029],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997496,0.000025437908,0.000008641814,0.00004337202,0.00014702359,0.000025851115],"domain_scores_gemma":[0.99988925,0.000020706695,0.000028544217,0.000011597694,0.000028986478,0.000021033942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002527288,0.0005155224,0.00034159355,0.0008120245,0.00041593524,0.0010434814,0.00027841056,0.00045920545,0.0031371778],"category_scores_gemma":[0.00033065482,0.00013090666,0.00064125564,0.0005642844,0.00024235364,0.00093609904,0.0006584081,0.00078429404,0.000567277],"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":[0.00053825794,0.00025057804,0.0026860395,0.0020406356,0.00011060435,0.0010650648,0.00023688826,0.0011197361,0.91494036,0.00184636,0.0009560697,0.0742094],"study_design_scores_gemma":[0.00004119638,0.0018748697,0.025652833,0.00048490718,0.00031471427,0.0024800934,0.000765431,0.0034749573,0.8965107,0.0012361625,0.0670786,0.00008550445],"about_ca_topic_score_codex":0.00046760205,"about_ca_topic_score_gemma":0.0011207034,"teacher_disagreement_score":0.0031371778,"about_ca_system_score_codex":0.00025515695,"about_ca_system_score_gemma":0.0002844621,"threshold_uncertainty_score":0.010494888},"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":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16193788,0.09543113,0.2309839,0.25960484,0.0013047477,0.0020644893,0.006569414,0.0006942338,0.24140939],"genre_scores_gemma":[0.90085,0.02027005,0.07144846,0.0031395557,0.00018905751,0.0012519503,0.0011462724,0.00010558541,0.0015990606],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9398436,0.046813566,0.0037759366,0.0033515848,0.004836723,0.0013786408],"domain_scores_gemma":[0.7979564,0.15691552,0.011626361,0.016379662,0.014859813,0.0022623255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09632277,0.0006030305,0.0012437559,0.013599045,0.0059710965,0.02389804,0.0023725484,0.0022092736,0.0050155977],"category_scores_gemma":[0.17801678,0.00091369386,0.001601459,0.02634783,0.015940458,0.024329176,0.017112244,0.0042232093,0.00033357853],"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":[0.00007462552,0.00007040354,0.036647137,0.005912284,0.00047054957,0.00035426408,0.040564433,0.006565233,0.0002078932,0.65464437,0.009163419,0.2453254],"study_design_scores_gemma":[0.000028982151,0.00014441065,0.030579919,0.019813849,0.00053026323,0.00026739322,0.07136371,0.011997283,0.0006465405,0.6866075,0.1777709,0.000249347],"about_ca_topic_score_codex":0.040222403,"about_ca_topic_score_gemma":0.061462134,"teacher_disagreement_score":0.09632277,"about_ca_system_score_codex":0.022624819,"about_ca_system_score_gemma":0.03779698,"threshold_uncertainty_score":0.50940955},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983311,0.0008912804,0.000065176166,0.00003038072,0.000016533928,0.000033605498,0.00019053834,0.000006685237,0.00043465281],"genre_scores_gemma":[0.99625456,0.0011101209,0.00074318406,0.000057336685,0.000013635355,0.000023544935,0.000376348,0.000004868605,0.0014164074],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99965906,0.000060945367,0.000031690128,0.000080749734,0.00011635206,0.000051232582],"domain_scores_gemma":[0.99939835,0.0000857319,0.0001378583,0.000029160214,0.00020368093,0.00014515288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020520382,0.00046010345,0.000501063,0.00030716677,0.0003906536,0.0004210159,0.00038972366,0.00035999942,0.0012744841],"category_scores_gemma":[0.00040366908,0.00013311933,0.0002028142,0.0002479628,0.00025162616,0.00017821233,0.00019306641,0.0003462135,0.00017079378],"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":[0.0021859673,0.0007252054,0.012833523,0.0005023389,0.00010544297,0.00022815073,0.00014738571,0.00034883147,0.96815497,0.000024631914,0.00019369088,0.014549848],"study_design_scores_gemma":[0.00025471297,0.028915273,0.24723053,0.00011731929,0.00029447806,0.00048307778,0.00087108044,0.0012809526,0.7136967,0.00003895295,0.0067563574,0.000060577113],"about_ca_topic_score_codex":0.029322231,"about_ca_topic_score_gemma":0.09316158,"teacher_disagreement_score":0.029322231,"about_ca_system_score_codex":0.00072331773,"about_ca_system_score_gemma":0.0009210263,"threshold_uncertainty_score":0.058303118},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6957131,0.16031429,0.0046681687,0.0077591673,0.00044782177,0.0005740579,0.08902541,0.0005456874,0.04095225],"genre_scores_gemma":[0.8663263,0.081258945,0.00886399,0.0004227384,0.0004782047,0.00069649145,0.040033102,0.000097192,0.0018231282],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9808188,0.0032986957,0.004995453,0.0016356233,0.008607654,0.00064388005],"domain_scores_gemma":[0.83358014,0.10209219,0.02715676,0.0036861163,0.031448122,0.0020366919],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.015180107,0.00048953714,0.0012053709,0.1739588,0.0010953717,0.005218076,0.00080671837,0.00068757456,0.0026810353],"category_scores_gemma":[0.08042055,0.00026952437,0.0012393792,0.2962413,0.0011229583,0.005320445,0.0023596552,0.0004864255,0.0004904832],"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":[0.00037332674,0.00013098841,0.55284923,0.02555627,0.0016334718,0.000610885,0.007848538,0.0022781498,0.0021741304,0.01230876,0.028802257,0.36543408],"study_design_scores_gemma":[0.000041397983,0.0001702581,0.8969647,0.0053455876,0.001283114,0.0007593852,0.009857426,0.005035361,0.0013669702,0.004574415,0.07446175,0.00013966903],"about_ca_topic_score_codex":0.0065071513,"about_ca_topic_score_gemma":0.007100969,"teacher_disagreement_score":0.8260412,"about_ca_system_score_codex":0.0034218924,"about_ca_system_score_gemma":0.0049298755,"threshold_uncertainty_score":0.08028108},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2092677,0.004494469,0.44260007,0.0010777131,0.0016549041,0.0017393427,0.26198557,0.057327382,0.019852817],"genre_scores_gemma":[0.1618587,0.0010316886,0.3215929,0.00050125056,0.00014599296,0.0020356898,0.4994074,0.0012672977,0.012159095],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921703,0.00008528695,0.00006767077,0.00031094314,0.00024944724,0.00006967486],"domain_scores_gemma":[0.9995266,0.00006632677,0.00006331577,0.00013889838,0.00017275652,0.000032112952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009266333,0.0020886548,0.00081438565,0.0021612367,0.00044848165,0.0008506982,0.0018485738,0.0017356442,0.0051192488],"category_scores_gemma":[0.0021247498,0.00038583312,0.0010989441,0.0020787022,0.00035223976,0.00078628084,0.0011917028,0.0011871216,0.005639702],"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":[0.0011418829,0.0012069028,0.027206322,0.0013333105,0.0005919058,0.00070807565,0.00010162632,0.032246865,0.03676435,0.0025972098,0.26006615,0.6360354],"study_design_scores_gemma":[0.00038414134,0.00085828075,0.08424518,0.00039163083,0.00023235554,0.0019762618,0.00023156912,0.6737434,0.041608863,0.006992959,0.18906929,0.0002660684],"about_ca_topic_score_codex":0.008267754,"about_ca_topic_score_gemma":0.015962027,"teacher_disagreement_score":0.008267754,"about_ca_system_score_codex":0.0006656868,"about_ca_system_score_gemma":0.0008351599,"threshold_uncertainty_score":0.017125547},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69465065,0.00050894305,0.30203462,0.00010398682,0.000027364564,0.000025804535,0.00014318617,0.00088932645,0.0016161462],"genre_scores_gemma":[0.9667818,0.00015063323,0.032389447,0.000014960224,0.000007841681,0.000013460241,0.00014092599,0.000018619312,0.0004822907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9998777,0.00002402394,0.000008361282,0.000039343446,0.00003613261,0.0000144828955],"domain_scores_gemma":[0.9998388,0.000057577934,0.00003363809,0.000015613385,0.000047322224,0.000007050268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030109452,0.00068421144,0.0002893255,0.0004210564,0.00011877416,0.00034127047,0.00028370778,0.00023823079,0.0002632441],"category_scores_gemma":[0.0006393885,0.00015509369,0.0003895894,0.00028683984,0.00010529294,0.00044333193,0.00018232087,0.0002759584,0.00013506526],"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":[0.00034444884,0.0002443864,0.030874696,0.0001534939,0.00015385413,0.00025247756,0.000106323736,0.51277703,0.13513517,0.0009921129,0.0009408234,0.3180252],"study_design_scores_gemma":[0.0000025733789,0.000032232907,0.0043349685,0.0000026369332,0.000011752257,0.000016657623,0.00001262142,0.9845115,0.010804072,0.0001326758,0.00013117662,0.0000071158242],"about_ca_topic_score_codex":0.0033606999,"about_ca_topic_score_gemma":0.0031640488,"teacher_disagreement_score":0.0033606999,"about_ca_system_score_codex":0.0002525455,"about_ca_system_score_gemma":0.000195676,"threshold_uncertainty_score":0.0066822767},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991123,0.000103402235,0.00035041827,0.000029863597,0.0000016453528,0.000018404358,0.000048981175,0.0000049068485,0.00032998115],"genre_scores_gemma":[0.9983072,0.00015551537,0.0010054026,0.000023700837,0.0000040562513,0.000011926216,0.00008193685,0.000002459007,0.00040774336],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953353,0.00008936854,0.000023841965,0.00013227075,0.00012665687,0.00009430102],"domain_scores_gemma":[0.99959165,0.00008814653,0.00009783841,0.000029626817,0.0001298062,0.00006300701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073475175,0.0006200227,0.00042092495,0.001242596,0.001299545,0.00060702756,0.0008508033,0.0008936351,0.00030299765],"category_scores_gemma":[0.0005001191,0.00023618736,0.0004006317,0.0018860893,0.00086845295,0.00040329178,0.00060742575,0.00022009121,0.000061355706],"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":[0.00013400857,0.00035077,0.9305656,0.00021792018,0.00012355577,0.016564667,0.00495757,0.0034197143,0.020094804,0.0002955659,0.0003432884,0.022932518],"study_design_scores_gemma":[0.000017543169,0.00036079332,0.9693542,0.000026487322,0.00009948887,0.0020554524,0.008945758,0.011941045,0.005558763,0.00029238226,0.0012980177,0.00005004752],"about_ca_topic_score_codex":0.14923832,"about_ca_topic_score_gemma":0.20663062,"teacher_disagreement_score":0.14923832,"about_ca_system_score_codex":0.0022100727,"about_ca_system_score_gemma":0.0015512389,"threshold_uncertainty_score":0.29673928},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055494167,0.0011301112,0.9313324,0.00016374908,0.00018052831,0.00018667555,0.00033961877,0.0064504975,0.0047221435],"genre_scores_gemma":[0.3633761,0.000767402,0.6134672,0.00046904033,0.00009207703,0.00038201213,0.002406365,0.0005412922,0.018498397],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996511,0.000027650867,0.00001304092,0.00013194913,0.00012298753,0.000053401673],"domain_scores_gemma":[0.9998048,0.000034732042,0.000020264974,0.000032303076,0.000088710505,0.000019305096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039680023,0.0009793731,0.00088687794,0.000760514,0.00032779705,0.0007065648,0.0014001755,0.0006123144,0.0034728518],"category_scores_gemma":[0.00077175425,0.0003612889,0.0005713682,0.00037295948,0.0002488168,0.0013074047,0.00111885,0.00058278977,0.0025712925],"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":[0.0005508142,0.00012643429,0.0025780038,0.00030510966,0.00008764949,0.0002240113,0.00009714654,0.017646179,0.2653659,0.0027093391,0.0068716486,0.7034378],"study_design_scores_gemma":[0.00008756035,0.00042626692,0.0051080175,0.000047904407,0.00010504277,0.0006846873,0.00007997011,0.8304799,0.14327398,0.0013968186,0.018225282,0.000084566745],"about_ca_topic_score_codex":0.0032830236,"about_ca_topic_score_gemma":0.007077558,"teacher_disagreement_score":0.0034728518,"about_ca_system_score_codex":0.0004392957,"about_ca_system_score_gemma":0.0009808611,"threshold_uncertainty_score":0.011617899},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940224,0.0009096143,0.00050871976,0.000042278465,0.00000741741,0.000043126485,0.002962086,0.000025225074,0.0014791295],"genre_scores_gemma":[0.9884892,0.0009476625,0.0021365325,0.00009094029,0.0000040047703,0.000024023078,0.0057167225,0.000021491638,0.0025693867],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99958974,0.000012737232,0.000008215842,0.00014792205,0.00015297199,0.00008840793],"domain_scores_gemma":[0.9997845,0.000011474598,0.000016818412,0.000007259978,0.00013137166,0.000048649727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027088381,0.0005492066,0.0006069402,0.0014633572,0.0018427899,0.0013917424,0.0004120195,0.00045132052,0.00049874693],"category_scores_gemma":[0.0002838785,0.0002885729,0.0004906006,0.0014003816,0.00031229111,0.00023688334,0.00041570474,0.00044753661,0.0001202597],"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":[0.00045447928,0.00009612591,0.32420248,0.00026659187,0.00036269095,0.0004969866,0.0026726583,0.00169589,0.6438835,0.000322402,0.00085036515,0.024695735],"study_design_scores_gemma":[0.000006456926,0.000106783664,0.98182076,0.000028142616,0.0000914749,0.00021195697,0.0014535311,0.0011285603,0.010664781,0.000034524488,0.004424697,0.000028301116],"about_ca_topic_score_codex":0.75021493,"about_ca_topic_score_gemma":0.88948846,"teacher_disagreement_score":0.24978507,"about_ca_system_score_codex":0.0055010766,"about_ca_system_score_gemma":0.0047901045,"threshold_uncertainty_score":0.5025122},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955877,0.0010199907,0.0029132438,0.000027726126,0.000011183527,0.000019887628,0.00006189093,0.000025033232,0.0003333896],"genre_scores_gemma":[0.9891033,0.0009423837,0.0076812315,0.000054837878,0.000008549168,0.00003467591,0.0002090615,0.000041058753,0.0019248071],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991834,0.0000122361835,0.0000045188,0.00002823434,0.000022525413,0.000014100237],"domain_scores_gemma":[0.9999356,0.0000092132195,0.00002468882,0.0000055596934,0.00001438789,0.00001046331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017730368,0.0003807518,0.0003412251,0.00014918261,0.000105730294,0.000266958,0.00012757377,0.00015263031,0.00072607154],"category_scores_gemma":[0.00013106504,0.00021849775,0.00026533526,0.00017959732,0.00011813495,0.0002305507,0.00018704758,0.00041666068,0.00015105245],"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":[0.000042327454,0.0000072285884,0.00008282447,0.000028440953,0.0000030460076,0.0000084511,0.0000067163965,0.000020748557,0.99925596,0.000004397371,0.0000037047662,0.00053614134],"study_design_scores_gemma":[0.000011750132,0.00046354867,0.018627988,0.0000064918368,0.0000306852,0.00009924169,0.00003109669,0.0005337515,0.9791205,0.00001549929,0.0010527961,0.0000066393122],"about_ca_topic_score_codex":0.0005199864,"about_ca_topic_score_gemma":0.0018116143,"teacher_disagreement_score":0.00072607154,"about_ca_system_score_codex":0.00013688237,"about_ca_system_score_gemma":0.00009593339,"threshold_uncertainty_score":0.0024289489},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13772278,0.0032093858,0.83320594,0.00070735754,0.00049328274,0.00034411738,0.0036088151,0.011791394,0.008916975],"genre_scores_gemma":[0.63399947,0.0011359917,0.35063672,0.00039898593,0.00025063075,0.00027742732,0.0040673045,0.00019503204,0.009038485],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927276,0.0001116696,0.0000683098,0.00027436987,0.00020969365,0.00006327253],"domain_scores_gemma":[0.9981317,0.00066261535,0.00011922885,0.00033953675,0.00066530175,0.000081663005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013843002,0.00086878985,0.001179696,0.0017297323,0.00060857716,0.0008507699,0.001337003,0.0010414436,0.0019188301],"category_scores_gemma":[0.0038210265,0.0004770426,0.0011461305,0.0019284859,0.00017454618,0.0014823745,0.0007002799,0.0010735312,0.0018741381],"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":[0.0011476916,0.00062092603,0.027313076,0.00048133792,0.0007425001,0.00039381982,0.00031828877,0.114596725,0.033002377,0.003059729,0.021064771,0.79725873],"study_design_scores_gemma":[0.000076291864,0.0003661486,0.006404282,0.000029053945,0.000223323,0.00028793787,0.000052270174,0.97674054,0.006435206,0.0014968031,0.0078101642,0.000077950695],"about_ca_topic_score_codex":0.02252488,"about_ca_topic_score_gemma":0.050702017,"teacher_disagreement_score":0.02252488,"about_ca_system_score_codex":0.0005745764,"about_ca_system_score_gemma":0.00086913013,"threshold_uncertainty_score":0.044787586},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3770604,0.0011544833,0.59839946,0.00039908226,0.00033531262,0.00042495376,0.0005478991,0.011662967,0.010015409],"genre_scores_gemma":[0.9278002,0.00019704377,0.06446653,0.00015201623,0.00006728384,0.0001764548,0.00026331234,0.000040699062,0.006836577],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999564,0.00004248896,0.000017599588,0.00019536588,0.00014679317,0.000033689194],"domain_scores_gemma":[0.9998266,0.000018884546,0.000021723794,0.000027304395,0.00008321612,0.000022371181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028201283,0.0008955094,0.0007224621,0.00059879257,0.00050799985,0.00050831714,0.0008672973,0.00069147197,0.0031900546],"category_scores_gemma":[0.00027602498,0.00026688495,0.00035692658,0.000282915,0.00013658848,0.00086230616,0.0005625107,0.00031526943,0.0007459184],"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":[0.00079740223,0.00043717088,0.018960522,0.00048093454,0.00017789158,0.0011090679,0.0005382394,0.015101705,0.5292986,0.001962471,0.0053798635,0.42575604],"study_design_scores_gemma":[0.00017506687,0.002099478,0.039699893,0.0000735629,0.00030402007,0.0015578844,0.00042936922,0.7040924,0.2306301,0.002120718,0.018648354,0.00016928837],"about_ca_topic_score_codex":0.0015076502,"about_ca_topic_score_gemma":0.0018571995,"teacher_disagreement_score":0.0031900546,"about_ca_system_score_codex":0.00030939403,"about_ca_system_score_gemma":0.00034026874,"threshold_uncertainty_score":0.010671735},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99940753,0.0002818771,0.00012129316,0.0000126705345,0.0000017922956,0.0000036234592,0.000049674185,0.0000037003806,0.00011778165],"genre_scores_gemma":[0.9996891,0.00006283068,0.00007274965,0.000004156271,0.0000031062903,0.000001745378,0.00009948878,0.0000011468476,0.00006582847],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944943,0.00010162189,0.0000664806,0.00010086761,0.00014210079,0.00013949843],"domain_scores_gemma":[0.9979589,0.00036877228,0.0011545294,0.00014555249,0.00019069029,0.00018145992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096644164,0.00022310855,0.00037617068,0.00060926896,0.00019734942,0.000417234,0.0002862787,0.00034909413,0.00084264675],"category_scores_gemma":[0.0029700822,0.00014011223,0.00038516443,0.0005589222,0.00032559413,0.0004593171,0.0005645469,0.0004257289,0.00016861512],"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":[0.00037564634,0.000020881525,0.99450856,0.000011679006,0.000028265178,0.00015107512,0.000055962333,0.000098792436,0.0017151106,0.000005747378,0.000022257624,0.003005985],"study_design_scores_gemma":[5.954772e-7,0.00009012102,0.9992085,0.0000017524162,0.0000072576154,0.0002481553,0.00007872768,0.00016932585,0.00015864302,0.000005871878,0.000029810926,0.0000012503677],"about_ca_topic_score_codex":0.0014655999,"about_ca_topic_score_gemma":0.0013515115,"teacher_disagreement_score":0.0014655999,"about_ca_system_score_codex":0.00023520486,"about_ca_system_score_gemma":0.00015647693,"threshold_uncertainty_score":0.0051110983},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83082694,0.00040531327,0.16135716,0.0002630758,0.000096535994,0.0000980838,0.00023948778,0.00041741566,0.0062960633],"genre_scores_gemma":[0.9889764,0.00006522417,0.0100541,0.000024335657,0.0000059044132,0.00005444245,0.0001119009,0.000011391153,0.0006962482],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991596,0.00002154577,0.000005570857,0.000020877082,0.000015862495,0.000020176087],"domain_scores_gemma":[0.99980384,0.00009610269,0.00003073308,0.000009528331,0.00004222564,0.000017597366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030304128,0.000770635,0.00051955937,0.00024155293,0.00022542322,0.00053030805,0.00047275392,0.0005584137,0.0005364699],"category_scores_gemma":[0.000614113,0.0003058795,0.00053320854,0.00018304969,0.00026882786,0.0002762885,0.0004188564,0.00044751586,0.000074643445],"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":[0.000018841834,0.000015981159,0.0009966955,0.000013010832,0.000010690818,0.000027601702,0.000008090406,0.9960633,0.00054921344,0.000112891445,0.000073983785,0.0021097367],"study_design_scores_gemma":[0.0000031965426,0.000010965908,0.00016055242,7.9172816e-7,0.000002064674,0.0000013000144,0.0000032140888,0.9996909,0.000074894226,0.00002245882,0.00002856949,0.0000010787123],"about_ca_topic_score_codex":0.023032151,"about_ca_topic_score_gemma":0.013530131,"teacher_disagreement_score":0.023032151,"about_ca_system_score_codex":0.00035595626,"about_ca_system_score_gemma":0.0007608279,"threshold_uncertainty_score":0.045796216},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9723193,0.019210009,0.0033846626,0.00087174005,0.000029252895,0.000021430447,0.00008279649,0.000021611551,0.004059281],"genre_scores_gemma":[0.9885731,0.00844702,0.0019804756,0.00019905415,0.000016964404,0.000010136578,0.0000461267,0.0000066527714,0.0007205164],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99982136,0.00006404166,0.000007426395,0.000031325326,0.000029040955,0.00004684289],"domain_scores_gemma":[0.99987423,0.000042818458,0.000046568974,0.0000046593964,0.000011838322,0.000019820807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003072239,0.00023254531,0.0001832023,0.00025879158,0.0004533395,0.0009870167,0.00016285064,0.0003501916,0.00038411442],"category_scores_gemma":[0.00029824296,0.00012809635,0.00011578589,0.00020347742,0.0004762171,0.00070148584,0.00057302404,0.00031776316,0.00008491495],"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":[0.00024808478,0.000051462266,0.032008152,0.00081531354,0.00007560987,0.0021900923,0.0025955932,0.0018572783,0.897417,0.0066227936,0.0005645751,0.055553988],"study_design_scores_gemma":[0.000055699307,0.0016525352,0.5137461,0.0008424204,0.00035894217,0.013185712,0.02648395,0.010453161,0.19941662,0.018144952,0.21547589,0.00018408464],"about_ca_topic_score_codex":0.0035619133,"about_ca_topic_score_gemma":0.0054727853,"teacher_disagreement_score":0.0035619133,"about_ca_system_score_codex":0.0005966705,"about_ca_system_score_gemma":0.0002614088,"threshold_uncertainty_score":0.007082343},"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":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018815679,0.13449953,0.013385816,0.47415167,0.23389646,0.00005872919,0.00060755655,0.0010366448,0.14048198],"genre_scores_gemma":[0.03775798,0.2557607,0.026958026,0.07801375,0.32327208,0.00015624879,0.0020321703,0.0017108584,0.2743382],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99692935,0.0008348292,0.00021083586,0.000406258,0.0012419515,0.00037684003],"domain_scores_gemma":[0.9915856,0.0038365934,0.0004979157,0.0005460095,0.0020448964,0.0014890152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038183501,0.0009523397,0.0008686723,0.0030404907,0.002264796,0.01233319,0.0011087481,0.0041018124,0.034208994],"category_scores_gemma":[0.009951121,0.0005006486,0.00070379034,0.0034925616,0.0025743123,0.009013182,0.003880062,0.0061547766,0.01011634],"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":[0.000010101436,0.000013905007,0.00016740305,0.00028045435,0.000015745998,0.00002571144,0.00010557877,0.00020455154,0.000286233,0.017641747,0.9262827,0.054965872],"study_design_scores_gemma":[0.0000047941357,0.000006803244,0.00028442836,0.00028398653,0.0000096737585,0.000044905093,0.0002563149,0.00030585157,0.00015548183,0.016021395,0.98261523,0.00001114958],"about_ca_topic_score_codex":0.0015047673,"about_ca_topic_score_gemma":0.004704343,"teacher_disagreement_score":0.034208994,"about_ca_system_score_codex":0.002502418,"about_ca_system_score_gemma":0.005932354,"threshold_uncertainty_score":0.11444044},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08322661,0.00032791588,0.91194457,0.00009388938,0.000076417244,0.000042018328,0.000022470529,0.0006912456,0.0035747867],"genre_scores_gemma":[0.9453738,0.00019156864,0.050837357,0.000032762124,0.000017893433,0.0000728191,0.000048373862,0.0000151551,0.003410275],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998267,0.000022866303,0.000012330142,0.00005557453,0.00005927404,0.000023364402],"domain_scores_gemma":[0.99985623,0.00002814903,0.000026429474,0.000015638992,0.00006157221,0.00001189922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028102135,0.0004386636,0.0004654641,0.00026705037,0.0002960601,0.0004073882,0.00065375015,0.0003790881,0.0009477576],"category_scores_gemma":[0.00036609487,0.00016595269,0.00030851213,0.00023235139,0.00030678193,0.00033524176,0.00040614643,0.00037036542,0.00015842805],"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":[0.00046505933,0.00007706062,0.0021468431,0.00028455295,0.000072013594,0.00036869146,0.00047506043,0.66718924,0.10899839,0.009002446,0.0014636533,0.20945692],"study_design_scores_gemma":[0.000023144554,0.00015001626,0.00043416634,0.0000059077142,0.000011353499,0.000033082957,0.000012825765,0.99471056,0.0033503447,0.00031734342,0.0009446301,0.000006678714],"about_ca_topic_score_codex":0.0053725145,"about_ca_topic_score_gemma":0.0027826524,"teacher_disagreement_score":0.0053725145,"about_ca_system_score_codex":0.000272069,"about_ca_system_score_gemma":0.0005671064,"threshold_uncertainty_score":0.010682523},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99867755,0.00056053,0.00031347506,0.000040437968,0.000018483754,0.000017696728,0.00014524531,0.000011470663,0.00021514192],"genre_scores_gemma":[0.9968664,0.00044381263,0.0015302098,0.00008909429,0.000007257036,0.00005543028,0.000257374,0.000011728106,0.0007386328],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994861,0.000090320136,0.000050055638,0.00018814892,0.00009351144,0.00009188239],"domain_scores_gemma":[0.9995701,0.000093548995,0.000094311756,0.000025776073,0.00009105441,0.00012526206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004016648,0.00048223682,0.00085636775,0.00027533452,0.0003563654,0.00067681127,0.00038837144,0.00046513372,0.00048703403],"category_scores_gemma":[0.00040606584,0.00021025304,0.0005369894,0.00025839955,0.00024969727,0.00035762394,0.00047347145,0.00064701645,0.00012972394],"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":[0.00077466015,0.00015302913,0.0029317623,0.00012728297,0.00003949241,0.00005688426,0.000053550302,0.00013981166,0.9931243,0.000012144725,0.000026451366,0.0025606486],"study_design_scores_gemma":[0.00007308391,0.0046986267,0.15523855,0.000047294918,0.00025904123,0.00024539637,0.000697493,0.004729832,0.83058393,0.00013302799,0.0032281643,0.00006561667],"about_ca_topic_score_codex":0.0044337567,"about_ca_topic_score_gemma":0.007948828,"teacher_disagreement_score":0.0044337567,"about_ca_system_score_codex":0.00064470724,"about_ca_system_score_gemma":0.00055004825,"threshold_uncertainty_score":0.008815885},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934982,0.0012127645,0.0038286,0.000114554816,0.00003486355,0.00006319642,0.00023811421,0.00009333904,0.0009164743],"genre_scores_gemma":[0.9853941,0.0013634595,0.00901573,0.00018679243,0.0000067765086,0.00011414843,0.00054883363,0.000018978746,0.0033509783],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992657,0.000006795447,0.0000085222055,0.000020426518,0.000017495538,0.000020177416],"domain_scores_gemma":[0.99995553,0.0000033572994,0.000013626349,0.0000039408224,0.000009470723,0.000014170052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014436459,0.000379541,0.00031096072,0.00015452286,0.00015435381,0.00019453731,0.0002446339,0.00022464417,0.00056040357],"category_scores_gemma":[0.000064995744,0.00010907983,0.00028911897,0.00010482059,0.000116450356,0.00024861025,0.00031781194,0.00039895345,0.00014153519],"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":[0.000049100137,0.000024598054,0.0004677315,0.00006474602,0.0000039059732,0.000023564391,0.000014175567,0.000050467406,0.9975305,0.00003280092,0.000023765659,0.001714682],"study_design_scores_gemma":[0.000107305656,0.0023251704,0.04198138,0.00004738132,0.000114325674,0.00028272302,0.00036968238,0.0050209383,0.94052875,0.00016911555,0.0090201665,0.000033031338],"about_ca_topic_score_codex":0.002198164,"about_ca_topic_score_gemma":0.004698383,"teacher_disagreement_score":0.002198164,"about_ca_system_score_codex":0.0002733524,"about_ca_system_score_gemma":0.0003690453,"threshold_uncertainty_score":0.004370749},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988784,0.000042033793,0.00082521455,0.000003795831,9.3767125e-7,0.000007297325,0.00010441223,0.0000028579161,0.00013505107],"genre_scores_gemma":[0.9973345,0.000044258508,0.0017064445,0.0000057429143,0.0000018510713,0.000013412237,0.00072527037,0.0000030689046,0.00016553368],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972266,0.000060340877,0.000027793025,0.000099961755,0.000058817077,0.00003032614],"domain_scores_gemma":[0.99979764,0.000049512633,0.000061124614,0.000025211715,0.00003311051,0.00003336565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046391445,0.00020445992,0.00015739453,0.0011303535,0.0002447055,0.00024583266,0.0001481988,0.00013383092,0.00048049045],"category_scores_gemma":[0.0004947704,0.00012951717,0.00023574685,0.0008984725,0.00019153664,0.0001509875,0.00024123187,0.00017688912,0.00011585084],"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":[0.00047518502,0.00013075791,0.60516286,0.00005637037,0.00026963343,0.00026529285,0.001376797,0.0011131533,0.35095096,0.00034057713,0.00014455648,0.039713897],"study_design_scores_gemma":[0.000015005358,0.000099003926,0.9934983,0.000006638108,0.000053754604,0.00016619916,0.00016146393,0.0012433096,0.004146678,0.00011164927,0.00048919255,0.00000884457],"about_ca_topic_score_codex":0.0016478397,"about_ca_topic_score_gemma":0.003243456,"teacher_disagreement_score":0.0016478397,"about_ca_system_score_codex":0.0002513176,"about_ca_system_score_gemma":0.00020985428,"threshold_uncertainty_score":0.0032764673},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99840623,0.00015119108,0.0003677094,0.000065842134,0.0000029197752,0.000003382544,0.000280434,0.00001823988,0.0007040123],"genre_scores_gemma":[0.9993019,0.00008595964,0.000118863354,0.000007390934,0.000002023612,0.0000039077254,0.00031786738,0.0000022206764,0.00015984353],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999074,0.000015455813,0.0000047292015,0.000024858202,0.000015290438,0.00003230362],"domain_scores_gemma":[0.9998492,0.000031227795,0.000038799735,0.000011259023,0.000037544574,0.00003191299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002778521,0.00046953183,0.00019813243,0.0010070772,0.00035036242,0.00063160184,0.0003361848,0.00032982964,0.00075726554],"category_scores_gemma":[0.0004139835,0.00017106337,0.00065034867,0.00071954675,0.00031776135,0.00052854914,0.00051443314,0.00016047052,0.00006948499],"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":[0.00019463692,0.000049543814,0.61325777,0.00011525611,0.0002173135,0.0013534732,0.00037933397,0.35879079,0.009644599,0.0013272339,0.0011833765,0.013486649],"study_design_scores_gemma":[0.000018125149,0.00006587871,0.6247381,0.000027413767,0.00014677935,0.00029070931,0.00060025026,0.3710141,0.0008886696,0.0006907794,0.0014660399,0.000053142317],"about_ca_topic_score_codex":0.03713899,"about_ca_topic_score_gemma":0.03182053,"teacher_disagreement_score":0.03713899,"about_ca_system_score_codex":0.0008933699,"about_ca_system_score_gemma":0.00046687032,"threshold_uncertainty_score":0.073845625},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912862,0.00031528852,0.00224503,0.000017703725,0.0000023774612,0.00006492079,0.0010326575,0.000014296691,0.005021577],"genre_scores_gemma":[0.99400675,0.00031035274,0.002097895,0.000011676197,8.7946506e-7,0.000043033197,0.0020105399,0.000013950198,0.0015049399],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996406,0.000088350214,0.000018884904,0.0000769593,0.00010855641,0.0000666732],"domain_scores_gemma":[0.99947065,0.00013800467,0.00008184012,0.000037600614,0.00024053069,0.000031360036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015418732,0.00050609314,0.00033953268,0.0012728069,0.0002501002,0.0013534513,0.0004712022,0.00027564628,0.0010146594],"category_scores_gemma":[0.001200683,0.00019649809,0.0008749257,0.0020456528,0.00030267256,0.0008183351,0.0004352904,0.0001737155,0.000111532216],"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":[0.0015261327,0.00022112792,0.4150674,0.0006476304,0.0012250629,0.00091493415,0.0010887564,0.46437374,0.031560283,0.0036867433,0.0007776531,0.07891044],"study_design_scores_gemma":[0.000042405154,0.0025920789,0.80150867,0.00012704263,0.00055909104,0.00033406127,0.002662659,0.15595402,0.019801652,0.0015308916,0.01475426,0.00013323671],"about_ca_topic_score_codex":0.09359559,"about_ca_topic_score_gemma":0.123052165,"teacher_disagreement_score":0.09359559,"about_ca_system_score_codex":0.0041278675,"about_ca_system_score_gemma":0.0009786562,"threshold_uncertainty_score":0.18610162},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905381,0.00056197593,0.004243239,0.00022525208,0.000016763379,0.00021838988,0.00039983925,0.0000948471,0.003701541],"genre_scores_gemma":[0.9817375,0.00056033896,0.015064687,0.0001048352,0.000009165038,0.00012482658,0.00033890564,0.000008551664,0.0020513819],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997124,0.00006384395,0.000014362142,0.000076683056,0.00008789727,0.00004468636],"domain_scores_gemma":[0.99969923,0.000056739496,0.00008952967,0.000015174424,0.00007995792,0.000059434587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005257379,0.00024189126,0.00020726639,0.00031062381,0.00042200353,0.00045440512,0.00035715735,0.00031414462,0.0018136383],"category_scores_gemma":[0.0005181254,0.00010674873,0.00010976745,0.00016003853,0.00016036727,0.00046209828,0.0005208845,0.00019966172,0.0003599888],"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":[0.00042145065,0.0003091029,0.12091696,0.00040853757,0.000024037708,0.0010760381,0.0014753289,0.00044347666,0.78952193,0.000116748975,0.001046348,0.08424004],"study_design_scores_gemma":[0.000057806796,0.002140916,0.7990489,0.00022941531,0.00011596724,0.0010271596,0.0073878933,0.005360967,0.16602518,0.00041907866,0.018125871,0.000060757127],"about_ca_topic_score_codex":0.0031768114,"about_ca_topic_score_gemma":0.009413928,"teacher_disagreement_score":0.0031768114,"about_ca_system_score_codex":0.00027733494,"about_ca_system_score_gemma":0.000536755,"threshold_uncertainty_score":0.006316662},"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":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15363765,0.0015732493,0.8113713,0.00029107684,0.0007043267,0.013648886,0.005147439,0.0045178216,0.0091082305],"genre_scores_gemma":[0.15598601,0.0018499157,0.7800929,0.00039773647,0.00013082646,0.035431508,0.011580181,0.0009079074,0.013623022],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99736845,0.000483897,0.00038641272,0.000658774,0.0008973383,0.00020511307],"domain_scores_gemma":[0.99870515,0.00018032923,0.00019625918,0.00043202704,0.00036570794,0.00012048864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021651234,0.0015630971,0.0010158394,0.0011885229,0.0010485966,0.00069761614,0.0013134918,0.00084112654,0.003590597],"category_scores_gemma":[0.0009941505,0.0006327001,0.0010765392,0.0006628089,0.0007263903,0.0004728229,0.0010412505,0.002053211,0.0031957806],"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":[0.000051817522,0.000088733446,0.00016610508,0.00010823176,0.000008897457,0.00007339513,0.00006219946,0.00012584917,0.99476707,0.000232831,0.00037284766,0.0039421315],"study_design_scores_gemma":[0.00006186684,0.0014901516,0.004341223,0.00009181678,0.00010514033,0.0004780984,0.00006152253,0.0024887417,0.9576754,0.00041478372,0.032709125,0.00008211687],"about_ca_topic_score_codex":0.0009006998,"about_ca_topic_score_gemma":0.0028907808,"teacher_disagreement_score":0.003590597,"about_ca_system_score_codex":0.0005321068,"about_ca_system_score_gemma":0.0016187994,"threshold_uncertainty_score":0.012011707},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71593446,0.00017651355,0.26706183,0.00013524396,0.00005619636,0.00006949384,0.00023901762,0.00025243702,0.016074808],"genre_scores_gemma":[0.9798733,0.000114751216,0.01808066,0.000015033192,0.000004567612,0.00005120127,0.000099568264,0.000026353793,0.0017345955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999461,0.000012346994,0.0000026964444,0.000009647667,0.000019408237,0.000009684596],"domain_scores_gemma":[0.9998845,0.000062083396,0.000014200158,0.000009586003,0.000023788003,0.000005834162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018182506,0.00028003738,0.00021989214,0.00027278328,0.00023592383,0.0002343898,0.0003639322,0.00051765225,0.0016751704],"category_scores_gemma":[0.00041939996,0.00012049155,0.00033796317,0.00023245245,0.00024265377,0.0002733443,0.00019915274,0.00021998085,0.00014148028],"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":[0.000031268515,0.000020257863,0.0009850962,0.000022805632,0.000005604217,0.000052274696,0.00006797876,0.98273414,0.009948568,0.002753664,0.000101689635,0.0032765844],"study_design_scores_gemma":[0.00000233733,0.000011914603,0.0001817768,0.0000017165761,0.0000014594424,0.0000041198628,0.00000773378,0.99875915,0.0007229796,0.00014092874,0.00016367239,0.0000021531673],"about_ca_topic_score_codex":0.0062758443,"about_ca_topic_score_gemma":0.0046868133,"teacher_disagreement_score":0.0062758443,"about_ca_system_score_codex":0.00024037917,"about_ca_system_score_gemma":0.00036391517,"threshold_uncertainty_score":0.01247859},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7403603,0.0024190787,0.25128126,0.00017739394,0.00014843093,0.00024104003,0.00031732814,0.0004345325,0.0046206363],"genre_scores_gemma":[0.91885954,0.0006475889,0.07825658,0.000046191606,0.000016617863,0.00018047495,0.00014258035,0.00002420866,0.0018261983],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998609,0.000012834982,0.000011368606,0.00004690151,0.00004801604,0.00002004793],"domain_scores_gemma":[0.99988747,0.000025325704,0.00003597305,0.000012138016,0.000023736993,0.000015353111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026188875,0.00037059266,0.00034876115,0.0003536076,0.00023476643,0.000444251,0.00065605075,0.0004592807,0.00054550666],"category_scores_gemma":[0.0001946798,0.00020637503,0.00029635438,0.00020652544,0.00019292452,0.00034132888,0.00025043878,0.00019805784,0.0002240623],"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":[0.000049559025,0.000070349706,0.00074142887,0.00024536363,0.0000138319265,0.00012084116,0.000041784737,0.008685638,0.9759931,0.0006446215,0.00017349645,0.013219977],"study_design_scores_gemma":[0.00008051364,0.0022049693,0.015910197,0.000051732823,0.00012452013,0.00045607076,0.00015362551,0.2487931,0.716982,0.0004389444,0.014704384,0.000099868455],"about_ca_topic_score_codex":0.0002630622,"about_ca_topic_score_gemma":0.00059308746,"teacher_disagreement_score":0.00065605075,"about_ca_system_score_codex":0.0002396615,"about_ca_system_score_gemma":0.00029963147,"threshold_uncertainty_score":0.0018248558},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999537,0.000033974655,0.00016040038,0.0000075744615,7.477358e-7,0.000001623981,0.000046780777,0.000001923753,0.00021004777],"genre_scores_gemma":[0.9997844,0.000021237563,0.00008592057,0.0000012417656,8.8375225e-7,0.000002027089,0.00006490302,5.5988914e-7,0.000038959402],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998754,0.000025204878,0.000012723533,0.000046175664,0.000017973543,0.000022383758],"domain_scores_gemma":[0.9997397,0.00004586623,0.00011013087,0.000024046893,0.000053063162,0.000027174738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033939836,0.00011884949,0.000120217155,0.0008729085,0.00026131212,0.00036719342,0.00011957371,0.0001084992,0.00035104965],"category_scores_gemma":[0.00042959224,0.000090377034,0.000225555,0.001064845,0.00025402993,0.00020795368,0.00025461963,0.000081476115,0.000028813918],"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":[0.00007045469,0.000015725274,0.98325276,0.00003059203,0.00007127757,0.00014413963,0.00047749723,0.0035234524,0.0061890045,0.00041547263,0.00010413919,0.0057054753],"study_design_scores_gemma":[0.0000012172529,0.0000074469986,0.99778026,0.0000018780828,0.0000063603106,0.000019046362,0.00013653419,0.0018081004,0.00007096816,0.000056091474,0.00010968748,0.0000024206142],"about_ca_topic_score_codex":0.012961172,"about_ca_topic_score_gemma":0.028260414,"teacher_disagreement_score":0.012961172,"about_ca_system_score_codex":0.00042504683,"about_ca_system_score_gemma":0.00030591362,"threshold_uncertainty_score":0.025771499},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2446175,0.0003635755,0.7511025,0.00013818865,0.00003633975,0.00007289174,0.00014066901,0.0005351216,0.0029932375],"genre_scores_gemma":[0.9451931,0.00007525882,0.054218188,0.000024266461,0.000006380633,0.000059396072,0.00011225568,0.000016360798,0.00029459764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996338,0.00012823657,0.000020023124,0.00009955825,0.000060218244,0.000058231923],"domain_scores_gemma":[0.99943477,0.00033055767,0.00007334193,0.000042910684,0.00009237681,0.00002602863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010312633,0.0012710879,0.0006754549,0.00050657825,0.00028191903,0.0006908703,0.0007813434,0.0006159572,0.00088218594],"category_scores_gemma":[0.002119257,0.00040306267,0.000670763,0.00049024273,0.0003278705,0.0009877129,0.00060566975,0.0005803267,0.00017536627],"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":[0.000066914836,0.00004354709,0.0015813302,0.00005388282,0.000029924624,0.000051281313,0.000027994723,0.9648538,0.0027724626,0.0008801235,0.00022797055,0.029410742],"study_design_scores_gemma":[0.000004877307,0.000018817283,0.00027985702,0.0000023406667,0.000006993013,0.00000459058,0.0000069564885,0.9986532,0.000613537,0.00034242996,0.000063416825,0.0000030098784],"about_ca_topic_score_codex":0.0052194125,"about_ca_topic_score_gemma":0.0041435156,"teacher_disagreement_score":0.0052194125,"about_ca_system_score_codex":0.00047638893,"about_ca_system_score_gemma":0.0009456313,"threshold_uncertainty_score":0.010378063},"labels":[],"label_agreement":null}]}