{"meta":{"query_hash":"c2b28a615bed","filters":{"venue":"Legume Genomics and Genetics"},"cohort_total":78,"direct_labels_cover":0,"predictions_cover":78,"exported":78,"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/c2b28a615bed","api":"https://metacan.xera.ac/api/v1/cohort?venue=Legume+Genomics+and+Genetics"},"results":[{"id":"W1507035825","doi":"10.5376/lgg.2014.05.0002","title":"Genetic Divergence Analysis in Vegetable cowpea (<i>Vigna unguiculata</i> subsp. <i>unguiculata</i> [L.]) Genotypes","year":2014,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Agricultural pest management studies","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vigna; Mahalanobis distance; Genetic divergence; Point of delivery; Biology; Genotype; Divergence (linguistics); Horticulture; Cluster (spacecraft); Veterinary medicine; Genetic diversity; Mathematics; Genetics; Statistics; Gene; Medicine","score_opus":0.008994085160029055,"score_gpt":0.19103033676322848,"score_spread":0.18203625160319942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1507035825","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":[0.9992144,0.000029088887,0.00053694716,0.0000032103394,7.900417e-7,0.0000023118844,0.000108106884,0.0000048203015,0.00010035001],"genre_scores_gemma":[0.997776,0.000026317803,0.0012392033,0.0000052910145,6.800801e-7,0.000008217093,0.0006034431,0.000010977653,0.00032986084],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997862,0.000047013003,0.000018796783,0.00008056623,0.00003855849,0.000028823451],"domain_scores_gemma":[0.9997341,0.000104086124,0.000048978298,0.00002024133,0.00003552979,0.000057118916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032466947,0.00014910013,0.00024170085,0.0010949852,0.00028153622,0.0002625543,0.00015644367,0.00015989454,0.0005130006],"category_scores_gemma":[0.00035229063,0.00007902003,0.00029580056,0.00069128786,0.00015841975,0.0000741479,0.00025031154,0.0003021121,0.00007906782],"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":[0.00067387754,0.000095126576,0.043395758,0.00006418491,0.00012734465,0.00034590904,0.000899569,0.00070231664,0.94424486,0.00030007403,0.000048556347,0.009102497],"study_design_scores_gemma":[0.000026194695,0.00056397234,0.9544632,0.000009354358,0.000081203776,0.0009063918,0.00053843396,0.0043316097,0.037395652,0.0001814174,0.001469905,0.000032639393],"about_ca_topic_score_codex":0.0027731948,"about_ca_topic_score_gemma":0.003995186,"teacher_disagreement_score":0.0027731948,"about_ca_system_score_codex":0.00040503827,"about_ca_system_score_gemma":0.0001717385,"threshold_uncertainty_score":0.0055140257},"labels":[],"label_agreement":null},{"id":"W1509660295","doi":"10.5376/lgg.2010.01.0003","title":"Isolation and Expression Analysis of a β-Ketoacyl-Acyl Carrier Protein Synthase â…  gene from <i>Arachis hypogaea</i> L.","year":2010,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Coconut Research and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Arachis hypogaea; Biology; Isolation (microbiology); Gene; ATP synthase; Chemistry; Molecular biology; Biochemistry; Botany; Microbiology","score_opus":0.008370107079246344,"score_gpt":0.23483594374128036,"score_spread":0.22646583666203401,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1509660295","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":[0.9738623,0.0028372805,0.012825886,0.0004502923,0.00016172884,0.00017751651,0.006366454,0.00020125597,0.003117313],"genre_scores_gemma":[0.9257553,0.003282541,0.025154889,0.00023493853,0.00007221831,0.00015120185,0.030245246,0.00015356229,0.014950074],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987066,0.000008476088,0.000016046777,0.00003766049,0.000042513017,0.000024573925],"domain_scores_gemma":[0.99987924,0.0000248603,0.000024223442,0.000011070243,0.000021659896,0.000038979222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014125853,0.00042112643,0.00031460708,0.0003321923,0.00024998313,0.00029098807,0.00027808876,0.00025058043,0.0006838448],"category_scores_gemma":[0.00011517573,0.00020812069,0.0005039647,0.00046125636,0.00024635403,0.00021976618,0.00020336123,0.0006152619,0.00078005187],"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":[0.000024153982,0.000012925786,0.00008833222,0.00003457573,0.0000021883438,0.000032779408,0.000017090439,0.000026242215,0.9991462,0.000053067077,0.000021785998,0.00054062024],"study_design_scores_gemma":[0.00006046047,0.0003927855,0.018015116,0.000026509471,0.000082804385,0.0006963249,0.0001579416,0.0025745002,0.963741,0.00019026463,0.014031938,0.000030324263],"about_ca_topic_score_codex":0.0027662986,"about_ca_topic_score_gemma":0.0022252442,"teacher_disagreement_score":0.0027662986,"about_ca_system_score_codex":0.00050604204,"about_ca_system_score_gemma":0.00047830548,"threshold_uncertainty_score":0.005500436},"labels":[],"label_agreement":null},{"id":"W1552771139","doi":"10.5376/lgg.2013.04.0004","title":"Genetic Variability and Heritability Studies in Bush Cowpea (<i>Vigna unguiculata</i> (L.) Walp.)","year":2013,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Agricultural pest management studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vigna; Heritability; Biology; Agronomy; Evolutionary biology","score_opus":0.019300114220443306,"score_gpt":0.21699315849683332,"score_spread":0.19769304427639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1552771139","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":[0.9991511,0.000084866086,0.00054417807,0.0000029627245,8.2021205e-7,0.0000024734102,0.00010228041,0.000004098073,0.000107226675],"genre_scores_gemma":[0.9988501,0.000068767826,0.0006335002,0.0000022547176,0.0000021652,0.0000045776646,0.00028535188,0.0000047887215,0.00014846756],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99968934,0.00008492427,0.000020181576,0.00010899648,0.00006898871,0.00002762209],"domain_scores_gemma":[0.99950874,0.00021482748,0.0001235413,0.000065114975,0.00005705433,0.00003067839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005532185,0.00018048553,0.00019594561,0.00068415084,0.00015297576,0.00018700049,0.00012734735,0.00009486874,0.0006275244],"category_scores_gemma":[0.00045117814,0.00010080393,0.0002597398,0.00063857465,0.00018342394,0.000086587126,0.00015931563,0.00019909901,0.00007987475],"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":[0.00064387574,0.00021173118,0.35985896,0.00011767926,0.0005616568,0.00051836733,0.0019765683,0.0020191078,0.6050105,0.00053516956,0.00009010588,0.028456427],"study_design_scores_gemma":[0.0000049790806,0.000105441875,0.9951261,0.0000032339851,0.00003726139,0.00018552506,0.00008059913,0.00056150963,0.0036500047,0.000040813797,0.00019792104,0.0000066798857],"about_ca_topic_score_codex":0.0022736837,"about_ca_topic_score_gemma":0.004127109,"teacher_disagreement_score":0.0022736837,"about_ca_system_score_codex":0.00023588222,"about_ca_system_score_gemma":0.0001081083,"threshold_uncertainty_score":0.004520893},"labels":[],"label_agreement":null},{"id":"W1802339722","doi":"10.5376/lgg.2015.06.0005","title":"Effect of Adoption of Improved Soybean Variety on Productivity of Farm Households in Benue State, Nigeria","year":2015,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Agricultural Innovations and Practices","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hectare; Agricultural science; Gross margin; Productivity; Profitability index; Production (economics); Revenue; Descriptive statistics; Yield (engineering); Variety (cybernetics); Agricultural economics; Benefit–cost ratio; Business; Economics; Agriculture; Mathematics; Geography; Economic growth; Statistics; Net present value; Biology; Finance","score_opus":0.019383431310484842,"score_gpt":0.23466260199049932,"score_spread":0.21527917068001448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1802339722","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":[0.9996123,0.000042568758,0.0000091070015,0.000032698572,0.0000010788764,0.0000018345902,0.000020493335,3.7718755e-7,0.00027972934],"genre_scores_gemma":[0.9997441,0.00006555105,0.000015715457,0.000005772369,8.969726e-7,0.0000015885965,0.000015363126,1.8659985e-7,0.00015079338],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997304,0.00009480143,0.000017938608,0.000035190285,0.000039462324,0.00008218319],"domain_scores_gemma":[0.99869627,0.00037623706,0.0005688926,0.000030538788,0.00011488006,0.00021330867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003806409,0.0001443617,0.00012880222,0.00027687234,0.00046307256,0.00041729925,0.00014906516,0.00020356377,0.0018103592],"category_scores_gemma":[0.0013180018,0.000107546286,0.00014878243,0.0003587893,0.00027923862,0.00029793545,0.0003231791,0.0003173036,0.000117695425],"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":[0.00006207045,0.00011521891,0.99343115,0.000022841656,0.000013773015,0.00046157918,0.0013635078,0.00009756518,0.000579757,0.00005922014,0.00007029434,0.0037229424],"study_design_scores_gemma":[0.0000013226404,0.00008399112,0.99636984,0.000012521415,0.000004412296,0.00007478679,0.0031328448,0.000096092816,0.000055684948,0.000014603822,0.00015177357,0.0000020919954],"about_ca_topic_score_codex":0.014533187,"about_ca_topic_score_gemma":0.033378605,"teacher_disagreement_score":0.014533187,"about_ca_system_score_codex":0.00051429245,"about_ca_system_score_gemma":0.00049305975,"threshold_uncertainty_score":0.028897226},"labels":[],"label_agreement":null},{"id":"W1910290036","doi":"10.5376/lgg.2014.05.0001","title":"Assessment of Genetic Divergence in among Yard Long Bean (<i>Vigna unguiculata</i> subsp. <i>sesquipedalis</i> [L.]) Genotypes","year":2014,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Agricultural pest management studies","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vigna; Biology; Horticulture; Genetic divergence; Genotype; Yard; Radiata; Botany; Genetics; Genetic diversity; Gene; Medicine; Population","score_opus":0.010279826846675697,"score_gpt":0.21209888374305993,"score_spread":0.20181905689638424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1910290036","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":[0.9996216,0.000019568473,0.00021002268,0.0000018322295,5.235526e-7,0.0000015445113,0.00007200683,0.0000029661105,0.000069904985],"genre_scores_gemma":[0.99854386,0.000019930842,0.0006261779,0.0000036734314,5.64372e-7,0.0000049188952,0.000542575,0.0000053807908,0.000252803],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99980897,0.00003688812,0.000014996995,0.00007749544,0.000035730078,0.000025892721],"domain_scores_gemma":[0.9997459,0.000067651854,0.000068238005,0.000029078004,0.000035263594,0.00005377159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027838268,0.00015675678,0.00023802824,0.00055644754,0.00017642944,0.00019030622,0.00013218295,0.00016838923,0.00035276753],"category_scores_gemma":[0.00025460558,0.00010394616,0.00019330753,0.00046891015,0.0001685444,0.000070422764,0.0001744465,0.00020193392,0.00007865961],"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":[0.00064672634,0.00007604635,0.09317292,0.000050098846,0.00010516538,0.00015089479,0.0005040645,0.0003573763,0.8983143,0.00011554398,0.000025810034,0.006481134],"study_design_scores_gemma":[0.000010619759,0.0002993008,0.9847631,0.000002869771,0.000039638868,0.00025924318,0.00016318221,0.0009536979,0.01300793,0.00003155835,0.0004606083,0.000008246962],"about_ca_topic_score_codex":0.0018017627,"about_ca_topic_score_gemma":0.0050911787,"teacher_disagreement_score":0.0018017627,"about_ca_system_score_codex":0.00032985667,"about_ca_system_score_gemma":0.000114789895,"threshold_uncertainty_score":0.0035825968},"labels":[],"label_agreement":null},{"id":"W2098682177","doi":"10.5376/lgg.2011.02.0001","title":"Isotypes of 78 kD Streptavidin Biotin-binding Proteins (SBP) during Initial Germination of Dark-grown Pea (<i>Pisum sativum</i> L.) Seedlings","year":2011,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Biotin and Related Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pisum; Sativum; Germination; Pi; Biotin; Streptavidin; Biology; Isoelectric point; Embryo; Molecular biology; Botany; Horticulture; Biochemistry; Enzyme; Genetics","score_opus":0.011649895013774161,"score_gpt":0.22232761153938185,"score_spread":0.21067771652560768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098682177","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":[0.99685705,0.00056071754,0.0012079438,0.00002982365,0.000013267805,0.0000063345374,0.00025599118,0.000038762286,0.0010300672],"genre_scores_gemma":[0.99195063,0.00039677753,0.0012634071,0.00005644115,0.0000063930497,0.000019029905,0.0010360846,0.000027678527,0.0052435254],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99994564,0.000003201739,0.000003378274,0.000020716594,0.000013900295,0.000013152769],"domain_scores_gemma":[0.9999149,0.000008004861,0.000020581616,0.0000045552943,0.0000187956,0.00003312532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053898664,0.00021142344,0.00013121546,0.00020188079,0.00014246187,0.00022542581,0.000120804594,0.00014392516,0.0010502307],"category_scores_gemma":[0.00008077823,0.000141674,0.0001447366,0.00010922565,0.000121125835,0.000189595,0.00013552401,0.000545884,0.00032190268],"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":[0.000044587112,0.0000049242267,0.0007280115,0.000013197547,0.0000020697184,0.000036561916,0.000034910317,0.00000451713,0.9987198,0.000017015489,0.000012404345,0.00038198236],"study_design_scores_gemma":[0.000012968771,0.000351556,0.30515504,0.000013189719,0.00003863461,0.00056762045,0.00033371407,0.00044461573,0.6903977,0.00009115107,0.0025785863,0.00001529792],"about_ca_topic_score_codex":0.0014845033,"about_ca_topic_score_gemma":0.0021518192,"teacher_disagreement_score":0.0014845033,"about_ca_system_score_codex":0.0002572857,"about_ca_system_score_gemma":0.00010638088,"threshold_uncertainty_score":0.0035133958},"labels":[],"label_agreement":null},{"id":"W2140190729","doi":"10.5376/lgg.2010.01.0005","title":"Identification of <em>AhAQ1</em> Encoding a Putative Aquaporin whose Expression is Regulated by Salt Stress In Peanut (<em>Arachis hypogaea</em> L.)","year":2010,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Ion Transport and Channel Regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Arachis hypogaea; Biology; Identification (biology); Aquaporin 1; Molecular biology; Genetics; Botany; Water channel; Engineering","score_opus":0.007244870293501404,"score_gpt":0.22540614034096004,"score_spread":0.21816127004745864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140190729","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":[0.99311924,0.00055910466,0.0036887925,0.0002022727,0.000022770831,0.000033082582,0.0015409309,0.000039090744,0.00079480367],"genre_scores_gemma":[0.9780592,0.0005830838,0.0087419795,0.00014362873,0.000017115995,0.000041405132,0.0069228024,0.00003176686,0.0054590264],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999579,0.000003339081,0.0000034185457,0.000015257941,0.000010046313,0.000010007815],"domain_scores_gemma":[0.9999107,0.00001300936,0.00002041858,0.000008647931,0.000013733942,0.000033493317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009362083,0.00029991844,0.00016359989,0.00019312145,0.0001551388,0.00019489953,0.00017658227,0.00021568191,0.00092946726],"category_scores_gemma":[0.00008802053,0.000134747,0.00023203746,0.00014243105,0.00023517305,0.00020168645,0.00023958061,0.00044522693,0.00050204253],"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":[0.000039514216,0.000008047399,0.00039339997,0.00002153368,0.0000017039815,0.000095027724,0.0000148203335,0.000029010107,0.998487,0.000060796923,0.000018713552,0.00083045673],"study_design_scores_gemma":[0.00007054097,0.00039542455,0.093556546,0.000028141394,0.000076427044,0.0025900728,0.00031200392,0.0029588619,0.88626003,0.0004167945,0.013307434,0.00002771808],"about_ca_topic_score_codex":0.001061541,"about_ca_topic_score_gemma":0.0014408907,"teacher_disagreement_score":0.001061541,"about_ca_system_score_codex":0.00032804185,"about_ca_system_score_gemma":0.00025971432,"threshold_uncertainty_score":0.0031093955},"labels":[],"label_agreement":null},{"id":"W2146179155","doi":"10.5376/lgg.2010.01.0006","title":"Development and Characterization of EST-SSR Markers from NCBI and cDNA Library in Cultivated Peanut (<i>Arachis hypogaea L.</i>)","year":2010,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Peanut Plant Research Studies","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Arachis hypogaea; Biology; cDNA library; Complementary DNA; Biotechnology; Botany; Genetics; Gene","score_opus":0.009776302011778884,"score_gpt":0.18712787830550387,"score_spread":0.177351576293725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146179155","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":[0.9517758,0.0027725485,0.028121598,0.00018809318,0.00006887611,0.00020595068,0.012558372,0.00047118397,0.0038375568],"genre_scores_gemma":[0.80461425,0.0038544007,0.0760638,0.00026256652,0.0000723932,0.00045120213,0.09670457,0.0003486976,0.017628057],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978095,0.000013920768,0.00002630119,0.00008203746,0.00006562202,0.00003104433],"domain_scores_gemma":[0.9998609,0.000028633842,0.000029286748,0.000013077374,0.000037367336,0.000030695028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023613943,0.00049544784,0.000523749,0.00080885895,0.00025365432,0.00039128217,0.00034975706,0.0002844694,0.0013496445],"category_scores_gemma":[0.0002754445,0.0002983385,0.0004735899,0.0012853397,0.00016507614,0.00021966833,0.00024368806,0.0005418494,0.0012077626],"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":[0.000099090656,0.000022698254,0.0007483109,0.00010019505,0.0000058971864,0.00016712662,0.000048843878,0.00007934211,0.9943251,0.0000457401,0.000050230352,0.0043073697],"study_design_scores_gemma":[0.00008282988,0.00052077667,0.12881179,0.000085350934,0.00023592752,0.0030274675,0.00033447263,0.0030820603,0.8444521,0.00020659331,0.019104965,0.000055669847],"about_ca_topic_score_codex":0.0014849926,"about_ca_topic_score_gemma":0.0021020821,"teacher_disagreement_score":0.0014849926,"about_ca_system_score_codex":0.00030378412,"about_ca_system_score_gemma":0.0003860813,"threshold_uncertainty_score":0.004515052},"labels":[],"label_agreement":null},{"id":"W2162168298","doi":"10.5376/lgg.2013.04.0003","title":"Assessment of Variability and Identification of Transgressive Segregants for Yield and Yield Component Traits in Early Segregating Generations of Chickpea","year":2013,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transgressive; Yield (engineering); Identification (biology); Component (thermodynamics); Transgressive segregation; Agronomy; Biology; Quantitative trait locus; Genetics; Gene; Botany; Materials science","score_opus":0.021279268910427033,"score_gpt":0.22160179131144267,"score_spread":0.20032252240101564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162168298","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":[0.99878985,0.000050770705,0.00096536306,0.0000022923978,9.681219e-7,0.0000056878685,0.000077403165,0.0000073656765,0.00010035885],"genre_scores_gemma":[0.99528044,0.00009459518,0.002831632,0.000008594777,0.0000023853659,0.000017396085,0.0008796701,0.00002039122,0.00086494663],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99971324,0.000055876546,0.000020712767,0.00010180064,0.0000730404,0.000035310095],"domain_scores_gemma":[0.99938166,0.00025181347,0.00012940605,0.00008393825,0.00007637864,0.000076859644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005532163,0.00033492708,0.0002454144,0.00068927906,0.00018893792,0.00027395325,0.00022790245,0.00025218673,0.00045607606],"category_scores_gemma":[0.0005559426,0.00016093084,0.0003036107,0.00027796283,0.00015979989,0.00009086892,0.00019159565,0.0004557486,0.00012942025],"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":[0.00022409661,0.000092531576,0.035852183,0.000028546985,0.000091968184,0.00029780646,0.00037676794,0.00038147173,0.95769614,0.000101033685,0.000017556253,0.004839762],"study_design_scores_gemma":[0.000010232574,0.00060156005,0.9558056,0.000007166039,0.000085482614,0.0010255654,0.00013198306,0.0015416226,0.04002361,0.00006176996,0.00067885465,0.000026650494],"about_ca_topic_score_codex":0.0014436211,"about_ca_topic_score_gemma":0.0026512572,"teacher_disagreement_score":0.0014436211,"about_ca_system_score_codex":0.00025198053,"about_ca_system_score_gemma":0.00012960413,"threshold_uncertainty_score":0.0029257536},"labels":[],"label_agreement":null},{"id":"W2236803698","doi":"10.5376/lgg.2016.07.0002","title":"Estimation of Genetic Variability and Character Association in Micro Mutant Lines of Greengram [<i>Vigna Radiata</i> (L.) Wilczek] for Yield Attributes and Cold Tolerance","year":2016,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Agricultural pest management studies","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Point of delivery; Vigna; Heritability; Radiata; Biology; Horticulture; Yield (engineering); Path analysis (statistics); Genetic correlation; Genetic variation; Botany; Gene; Mathematics; Genetics; Statistics","score_opus":0.011423175078773488,"score_gpt":0.19517991763023226,"score_spread":0.18375674255145877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2236803698","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":[0.9991192,0.000021693357,0.00054251816,0.0000042133975,9.1683694e-7,0.0000039547326,0.00020467635,0.000016802347,0.00008604422],"genre_scores_gemma":[0.99729615,0.000033858716,0.001091273,0.000005929282,8.5252486e-7,0.0000118513,0.0009081986,0.000020319754,0.0006316843],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998764,0.000026994814,0.000010517501,0.0000466542,0.000022506558,0.00001695621],"domain_scores_gemma":[0.99974686,0.00007203185,0.0000781829,0.000041543422,0.000017292723,0.00004409438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016430666,0.00029030803,0.00015870944,0.00054450484,0.0001057301,0.00015111569,0.0001551533,0.00013829008,0.00077655376],"category_scores_gemma":[0.0001940142,0.00010234884,0.00016441294,0.00028846532,0.00011935102,0.000052791795,0.0001534709,0.0001772707,0.0001434927],"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":[0.00017475284,0.000037606784,0.017160766,0.000012608906,0.000039695344,0.00010806812,0.000099168974,0.00016383007,0.9796056,0.000093423616,0.000026415251,0.0024780792],"study_design_scores_gemma":[0.000025733805,0.0005011629,0.91752046,0.0000064697088,0.00010140277,0.00077046704,0.00014511873,0.0024770459,0.07686894,0.00007774197,0.0014813648,0.000024105675],"about_ca_topic_score_codex":0.0011182704,"about_ca_topic_score_gemma":0.0023721252,"teacher_disagreement_score":0.0011182704,"about_ca_system_score_codex":0.0001928561,"about_ca_system_score_gemma":0.000070564936,"threshold_uncertainty_score":0.0025978684},"labels":[],"label_agreement":null},{"id":"W2409626079","doi":"10.5376/lgg.2016.07.0005","title":"Management of Legume Podborer, <i>Helicoverpa armigera</i> with Host Plant Resistance","year":2016,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Agricultural pest management studies","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Helicoverpa armigera; Legume; Host (biology); Biology; Resistance (ecology); Agronomy; Horticulture; Mathematics; Botany; Lepidoptera genitalia; Ecology","score_opus":0.008182395837896303,"score_gpt":0.17449518322588645,"score_spread":0.16631278738799016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2409626079","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":[0.9832544,0.004913939,0.0024939624,0.00088544586,0.000048208807,0.000096864744,0.00026465554,0.00019306337,0.0078494875],"genre_scores_gemma":[0.9908138,0.0011303454,0.0023767306,0.0005484244,0.000019880403,0.00002546285,0.0004138227,0.00001169663,0.0046597854],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999918,0.000014341578,0.0000049788196,0.000018529068,0.000015758971,0.000028399521],"domain_scores_gemma":[0.9998684,0.000005617652,0.000051520907,0.0000054116886,0.000019134937,0.000049865153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015220071,0.00024307705,0.00013178009,0.00019837818,0.00022785942,0.0004241493,0.00035059446,0.00027516784,0.0012993383],"category_scores_gemma":[0.00008745853,0.000051607607,0.00017455965,0.000115182425,0.0000996381,0.00014872782,0.00016100035,0.00020632586,0.00035234605],"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":[0.0010334031,0.0011137129,0.05171556,0.0005261299,0.00012137636,0.0030160719,0.0002939327,0.0005239407,0.7139713,0.00041371066,0.0064089047,0.22086191],"study_design_scores_gemma":[0.00043287585,0.011841918,0.6892292,0.0002674787,0.0006122865,0.012353857,0.0015667256,0.005956597,0.1606462,0.00054763077,0.11647466,0.00007044649],"about_ca_topic_score_codex":0.0030986785,"about_ca_topic_score_gemma":0.006341917,"teacher_disagreement_score":0.0030986785,"about_ca_system_score_codex":0.00043357385,"about_ca_system_score_gemma":0.0002744887,"threshold_uncertainty_score":0.0061612725},"labels":[],"label_agreement":null},{"id":"W2466153569","doi":"10.5376/lgg.2016.07.0008","title":"Evaluation of Different Varieties of Lathyrus (<i>Lathyrus sativus</i> L.)","year":2016,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Rice Cultivation and Yield Improvement","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lathyrus; Biology; Botany; Mathematics; Agronomy","score_opus":0.02727562094201144,"score_gpt":0.2251714804969652,"score_spread":0.19789585955495376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2466153569","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":[0.9985341,0.00033957826,0.00034402762,0.000021813781,0.000008617144,0.000010296644,0.00024486173,0.000021136511,0.000475704],"genre_scores_gemma":[0.9924899,0.00043286177,0.0022841995,0.0000792101,0.000008665498,0.00004003498,0.0018771787,0.00006775398,0.0027203257],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99984324,0.00002694066,0.000015297159,0.0000494106,0.000042482832,0.0000227314],"domain_scores_gemma":[0.9997305,0.00004696047,0.000081857026,0.000022392725,0.000049487124,0.00006879386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020353076,0.00044316458,0.00038160587,0.00055685185,0.00027047918,0.00034123144,0.00017231933,0.00019535293,0.0007476478],"category_scores_gemma":[0.00016623379,0.00015445877,0.00040150018,0.0006275935,0.00024618075,0.00027740502,0.00025476582,0.00037784284,0.00021426006],"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":[0.00044819378,0.000072462295,0.001714418,0.000069950314,0.00002442958,0.00008562632,0.00008048545,0.00007751319,0.99465746,0.00003643915,0.000029213434,0.0027037421],"study_design_scores_gemma":[0.000082587605,0.0071780905,0.40430698,0.0000320484,0.00042118935,0.0006249901,0.0007094389,0.0009901882,0.578368,0.0001055362,0.007117576,0.000063309555],"about_ca_topic_score_codex":0.0018605703,"about_ca_topic_score_gemma":0.0039146207,"teacher_disagreement_score":0.0018605703,"about_ca_system_score_codex":0.0004253095,"about_ca_system_score_gemma":0.00015423537,"threshold_uncertainty_score":0.0036994815},"labels":[],"label_agreement":null},{"id":"W4205968140","doi":"10.5376/lgg.2022.13.0001","title":"Construction and Analysis of a Yeast cDNA Library from <i>Medicago truncatula</i>","year":2022,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicago truncatula; Medicago; cDNA library; Yeast; Complementary DNA; Biology; Chemistry; Gene; Genetics","score_opus":0.006239019332767421,"score_gpt":0.21061957604463447,"score_spread":0.20438055671186706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205968140","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":[0.8099343,0.0036850225,0.13805653,0.001014158,0.00028750187,0.00097410026,0.033875674,0.0020657487,0.010106967],"genre_scores_gemma":[0.67510074,0.005507836,0.15046547,0.00066996133,0.000110752546,0.0011472334,0.11684104,0.0010774819,0.04907956],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99970704,0.000027908127,0.000033198347,0.00008951936,0.00009221894,0.00005006136],"domain_scores_gemma":[0.9998235,0.000042089938,0.000027373953,0.000026008527,0.00004259729,0.000038489903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030189933,0.0009016422,0.0008373943,0.00081332243,0.0004562041,0.0003784113,0.00053711457,0.00039892894,0.0020080474],"category_scores_gemma":[0.00019451616,0.00031143957,0.00081551395,0.0011576776,0.00036402224,0.0002795375,0.0003378797,0.00096135936,0.0017847186],"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":[0.000047044916,0.000020535746,0.00007733358,0.00006198172,0.000005115038,0.00007661506,0.000038980594,0.000062397885,0.99779105,0.00011071039,0.00007506787,0.0016331108],"study_design_scores_gemma":[0.000042276166,0.0003133169,0.006542181,0.000024960002,0.00007146964,0.00043841024,0.0001329356,0.0023093047,0.97209567,0.00020875466,0.017790055,0.000030626903],"about_ca_topic_score_codex":0.0019299871,"about_ca_topic_score_gemma":0.0022938128,"teacher_disagreement_score":0.0020080474,"about_ca_system_score_codex":0.00052231166,"about_ca_system_score_gemma":0.00043184406,"threshold_uncertainty_score":0.0067176223},"labels":[],"label_agreement":null},{"id":"W4321065978","doi":"10.5376/lgg.2022.13.0002","title":"Cloning and Expression Analysis of <i>GmSAP3</i> Gene in Soybean","year":2022,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Soybean genetics and cultivation","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloning (programming); Gene; Isoelectric point; Biology; Gene expression; Zinc finger; Function (biology); Molecular biology; Genetics; Biochemistry; Transcription factor","score_opus":0.012090164598234206,"score_gpt":0.20233540236633443,"score_spread":0.19024523776810023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321065978","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":[0.9776714,0.0011622192,0.012283244,0.00026105464,0.00003677371,0.000093752395,0.0061862124,0.00016717968,0.0021381597],"genre_scores_gemma":[0.94434416,0.0011499189,0.029089155,0.00017339965,0.000016895507,0.00011298222,0.019588621,0.00014379463,0.0053811176],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999312,0.000005383644,0.000008749106,0.000022141732,0.000020833246,0.000011659508],"domain_scores_gemma":[0.99994123,0.000008266146,0.000014636934,0.000005570467,0.000008029815,0.000022256361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013544636,0.00030316584,0.00023558462,0.00029421228,0.00019557582,0.00018503227,0.00021488611,0.00018719923,0.0006813649],"category_scores_gemma":[0.0001117498,0.00017256892,0.00041780833,0.0004283246,0.00022216605,0.00015887766,0.00021231794,0.0004010484,0.0005880931],"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":[0.00005172436,0.000009622399,0.00028694718,0.00004292085,0.000002924884,0.00006988221,0.000028943543,0.000087605964,0.99833775,0.00009794342,0.000038217215,0.00094547385],"study_design_scores_gemma":[0.0000967693,0.00034170455,0.044174273,0.00005222214,0.00008849818,0.0014135779,0.00020788675,0.0076085995,0.9289686,0.00038595626,0.016624456,0.00003744976],"about_ca_topic_score_codex":0.0026219024,"about_ca_topic_score_gemma":0.0021709723,"teacher_disagreement_score":0.0026219024,"about_ca_system_score_codex":0.00049090304,"about_ca_system_score_gemma":0.0003297812,"threshold_uncertainty_score":0.0052132607},"labels":[],"label_agreement":null},{"id":"W4386548549","doi":"10.5376/lgg.2023.14.0003","title":"Research Progress of Evolution and Classification Systems in the Family of Leguminosae","year":2023,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Plant Diversity and Evolution","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Biology; Genus; Phylogenetic tree; Phylogenetics; Botany; Evolutionary biology; Clade","score_opus":0.08734696312708799,"score_gpt":0.2692123156774446,"score_spread":0.18186535255035657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386548549","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":[0.5068496,0.33138746,0.11403222,0.011188776,0.0012693977,0.00016961966,0.0016480153,0.0003289974,0.033125952],"genre_scores_gemma":[0.7802951,0.08289251,0.12604727,0.0016615116,0.0010865071,0.00012410176,0.004132179,0.00017925256,0.003581562],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99674475,0.00095301296,0.00019446977,0.0014851004,0.00045587507,0.0001666405],"domain_scores_gemma":[0.9937919,0.002377447,0.000973478,0.00043572273,0.0020269975,0.00039450856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006590424,0.00065322354,0.00064983265,0.0044859117,0.0012729785,0.0033069504,0.001178543,0.0008538752,0.0017601672],"category_scores_gemma":[0.0078038354,0.00027479164,0.00062347297,0.0060258745,0.002487572,0.0051085935,0.001182833,0.0018088002,0.0006899754],"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":[0.00028927065,0.00009109713,0.1188357,0.0014900159,0.00021208126,0.00017808196,0.005097324,0.0022132043,0.013496567,0.050831273,0.0038355647,0.8034298],"study_design_scores_gemma":[0.000060138045,0.0004546795,0.44685268,0.0025270348,0.0006435595,0.001940927,0.008899829,0.024842862,0.00894659,0.10124934,0.4032612,0.00032126965],"about_ca_topic_score_codex":0.004205266,"about_ca_topic_score_gemma":0.003047874,"teacher_disagreement_score":0.006590424,"about_ca_system_score_codex":0.0023548813,"about_ca_system_score_gemma":0.0018856459,"threshold_uncertainty_score":0.034853935},"labels":[],"label_agreement":null},{"id":"W4386562898","doi":"10.5376/lgg.2023.14.0001","title":"Genetic Diversity of Soybean Landraces with Different Seed Coat Color","year":2023,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Biology; Genetic diversity; Coat; Allele; Microsatellite; Locus (genetics); Genetic variation; Horticulture; Botany; Genetics; Gene; Population; Ecology","score_opus":0.016550097979394232,"score_gpt":0.18830454956811732,"score_spread":0.1717544515887231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386562898","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":[0.9996524,0.000022134207,0.00014054868,0.0000033359415,7.935769e-7,0.0000019115732,0.00006620139,0.0000028387606,0.000109783505],"genre_scores_gemma":[0.99914026,0.00001883688,0.00016766743,0.0000062356153,0.000001203889,0.0000042455895,0.00039781936,0.0000042237493,0.0002593916],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99983597,0.000028068336,0.000017632841,0.000057068213,0.000032415584,0.000028779783],"domain_scores_gemma":[0.99981004,0.000040382216,0.000046195546,0.000019640802,0.000029098677,0.000054601976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025021346,0.00019172998,0.00024836077,0.0008023928,0.00017840529,0.00015475259,0.00007645497,0.00009676884,0.00089565833],"category_scores_gemma":[0.0002930899,0.00008254264,0.00025511123,0.00033412853,0.00014438895,0.000095759555,0.00016351131,0.00013255239,0.00018735083],"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":[0.0008263267,0.00010989922,0.3246736,0.000033044085,0.00013848276,0.0006502766,0.00094623526,0.00019514473,0.6637308,0.00017078403,0.00005452914,0.008470907],"study_design_scores_gemma":[0.00001662376,0.00022868083,0.9928496,0.0000037217917,0.00004408714,0.000481674,0.0002113855,0.00040877447,0.005288573,0.000075800584,0.00038272297,0.000008311051],"about_ca_topic_score_codex":0.0021784957,"about_ca_topic_score_gemma":0.004224629,"teacher_disagreement_score":0.0021784957,"about_ca_system_score_codex":0.00015422523,"about_ca_system_score_gemma":0.00011818508,"threshold_uncertainty_score":0.0043316483},"labels":[],"label_agreement":null},{"id":"W4386563069","doi":"10.5376/lgg.2023.14.0002","title":"Genetic Analysis of Backbone Parents of very Early-Mature Spring Soybean in China","year":2023,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Soybean genetics and cultivation","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Spring (device); Genetic analysis; Biology; Genetics; Geography; Gene; Engineering; Archaeology","score_opus":0.011822886675370986,"score_gpt":0.20580844565024975,"score_spread":0.19398555897487876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386563069","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":[0.99846554,0.000063842446,0.00062784425,0.000009356355,0.0000024770698,0.000010355001,0.0004500584,0.0000094413635,0.0003611661],"genre_scores_gemma":[0.9934034,0.00012516926,0.0019156904,0.000031521777,0.0000026421592,0.000025858233,0.0032119404,0.00002227421,0.0012615843],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998437,0.000012421526,0.0000147963365,0.00007425078,0.000035755525,0.000019085568],"domain_scores_gemma":[0.9998197,0.0000294258,0.000052135078,0.0000150253445,0.000034659042,0.000049116927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028372862,0.0002840125,0.00025277046,0.00091533293,0.00035862532,0.0001670518,0.00019440566,0.00018161247,0.0007245382],"category_scores_gemma":[0.00018364689,0.00020193506,0.0003586282,0.0007745996,0.00014154585,0.000105967796,0.00028289962,0.00024875582,0.00013565653],"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":[0.00024422034,0.000051864386,0.06300681,0.00005740711,0.000060304592,0.00081716274,0.00047330343,0.00022226952,0.92558855,0.0001639183,0.00006603209,0.009248093],"study_design_scores_gemma":[0.00003337533,0.00012576788,0.98131967,0.000006434769,0.000059978218,0.00060686754,0.00022461469,0.0008616686,0.015052992,0.00006492816,0.0016277266,0.000016082267],"about_ca_topic_score_codex":0.007442971,"about_ca_topic_score_gemma":0.014983997,"teacher_disagreement_score":0.007442971,"about_ca_system_score_codex":0.0003827326,"about_ca_system_score_gemma":0.0003823502,"threshold_uncertainty_score":0.014799297},"labels":[],"label_agreement":null},{"id":"W4389033043","doi":"10.5376/lgg.2023.14.0004","title":"Utilization of Legumes","year":2023,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Agricultural pest management studies","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Agriculture; Civilization; Geography; Agroforestry; Liana; Agronomy; Biology; Botany; Archaeology","score_opus":0.03988645768506396,"score_gpt":0.23073460398760587,"score_spread":0.1908481463025419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389033043","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":[0.82920283,0.109390534,0.00710208,0.000886973,0.00020041432,0.00010734303,0.008367501,0.0002925748,0.044449743],"genre_scores_gemma":[0.94777405,0.024107294,0.0057295994,0.0007511403,0.000048436137,0.000062598876,0.008349367,0.00007167824,0.013105787],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99953496,0.00006861733,0.000026037918,0.00013852042,0.0001191184,0.00011269786],"domain_scores_gemma":[0.99974686,0.000022588274,0.000076663615,0.000024925279,0.00006756107,0.00006138291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002702977,0.0005546366,0.00029931456,0.0009754276,0.00060489814,0.0011248415,0.00044981725,0.00032167564,0.0028242024],"category_scores_gemma":[0.00030816556,0.00012600858,0.00038411646,0.0014345326,0.00016190742,0.00052867463,0.0005161367,0.00043420045,0.0014900466],"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":[0.00044520403,0.00021350902,0.030593826,0.0016395965,0.00022397071,0.00092449225,0.0009466561,0.00014768673,0.774879,0.0029016878,0.004298727,0.18278556],"study_design_scores_gemma":[0.000029100001,0.0010453352,0.36674622,0.00050167524,0.00035612084,0.0053108735,0.001372334,0.00039985366,0.18278812,0.002480385,0.43886057,0.00010952209],"about_ca_topic_score_codex":0.005141894,"about_ca_topic_score_gemma":0.0069711762,"teacher_disagreement_score":0.005141894,"about_ca_system_score_codex":0.00083567534,"about_ca_system_score_gemma":0.0004310349,"threshold_uncertainty_score":0.010223925},"labels":[],"label_agreement":null},{"id":"W4390475691","doi":"10.5376/lgg.2024.15.0001","title":"A Comprehensive Study on Nitrogen Fixation and Growth and Development Regulation of Leguminous Plants","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Legume Nitrogen Fixing Symbiosis","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Rhizobia; Nitrogen fixation; Nitrogenase; Biology; Legume; Root nodule; Nitrogen; Agriculture; Agronomy; Ecology; Chemistry; Bacteria","score_opus":0.022134736626538833,"score_gpt":0.22012272060808638,"score_spread":0.19798798398154754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390475691","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":[0.05368449,0.92500985,0.0074719675,0.0014226574,0.00036066145,0.000033354314,0.0013587208,0.000105677806,0.010552726],"genre_scores_gemma":[0.21381491,0.76628053,0.008175154,0.0012012481,0.0003089876,0.000057323155,0.0033545438,0.000041292926,0.0067659686],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998416,0.000017997667,0.000015197064,0.00005492437,0.000048959326,0.000021283142],"domain_scores_gemma":[0.9998926,0.000020548878,0.000025327645,0.000006367931,0.00003989088,0.000015255809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034817698,0.00060329813,0.0006281784,0.00087624503,0.0003822234,0.0005943471,0.0003174068,0.00032531517,0.0012817266],"category_scores_gemma":[0.00017986896,0.0001279778,0.00064100296,0.0014294295,0.00012770279,0.0008100044,0.00035157718,0.00056641095,0.00025328746],"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":[0.0002820933,0.000085787025,0.008075164,0.015414377,0.0003902844,0.000903593,0.0006754677,0.0015778102,0.43387425,0.0065455656,0.008774236,0.52340144],"study_design_scores_gemma":[0.000031764426,0.0004836377,0.09818492,0.0016907488,0.0010944324,0.0017285049,0.00062851055,0.0017139302,0.051807348,0.005593499,0.83693403,0.00010860796],"about_ca_topic_score_codex":0.003577648,"about_ca_topic_score_gemma":0.005399192,"teacher_disagreement_score":0.003577648,"about_ca_system_score_codex":0.0007356426,"about_ca_system_score_gemma":0.0012978079,"threshold_uncertainty_score":0.0071136355},"labels":[],"label_agreement":null},{"id":"W4394697125","doi":"10.5376/lgg.2024.15.0002","title":"Key Genetic Markers Discovered through GWAS in Leguminous Crops and Their Application in Molecular Breeding","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Key (lock); Biology; Genome-wide association study; Molecular breeding; Plant breeding; Biotechnology; Computational biology; Genetics; Evolutionary biology; Agronomy; Single-nucleotide polymorphism; Gene; Genotype; Ecology","score_opus":0.006470761650164511,"score_gpt":0.20864475809099894,"score_spread":0.20217399644083445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394697125","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":[0.89837724,0.020724928,0.07143862,0.0018245808,0.00022014596,0.00009596136,0.003307767,0.00049732777,0.0035134214],"genre_scores_gemma":[0.96131164,0.0037811564,0.032823663,0.00031537568,0.00009235078,0.000038008115,0.0009650315,0.00003994507,0.0006329191],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928147,0.00033100785,0.000056008856,0.00017842458,0.000101966005,0.000051160707],"domain_scores_gemma":[0.9981337,0.0010044072,0.00047844157,0.00013028274,0.00012929205,0.00012377863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025543813,0.00073573965,0.0005729298,0.0020653973,0.0002627188,0.0010619956,0.00038309436,0.0005686789,0.0021706242],"category_scores_gemma":[0.0027435096,0.00023019507,0.0005657373,0.0027189276,0.00035387216,0.00050376396,0.00041926224,0.0004553988,0.00034026924],"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":[0.0013008526,0.00020512208,0.5509726,0.0008497551,0.0014764381,0.0015030019,0.0003017743,0.0030650566,0.20636564,0.003658648,0.0011994467,0.2291017],"study_design_scores_gemma":[0.00012866697,0.00057721254,0.9539113,0.00021183796,0.0011763395,0.0015061849,0.0003681055,0.008947054,0.017321432,0.0064589716,0.009316069,0.00007688076],"about_ca_topic_score_codex":0.00093696907,"about_ca_topic_score_gemma":0.0017847135,"teacher_disagreement_score":0.0025543813,"about_ca_system_score_codex":0.00025614924,"about_ca_system_score_gemma":0.00047185933,"threshold_uncertainty_score":0.013509035},"labels":[],"label_agreement":null},{"id":"W4399247326","doi":"10.5376/lgg.2024.15.0003","title":"Multivariate Analysis Reveals the Variability in Morphological and Chemical Characteristics of Fenugreek (<i>Trigonella foenum-graecum</i> L.) Populations","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Natural Antidiabetic Agents Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Trigonella; Multivariate analysis; Multivariate statistics; Biology; Traditional medicine; Horticulture; Mathematics; Statistics; Medicine","score_opus":0.02001482509945548,"score_gpt":0.2706520761350899,"score_spread":0.25063725103563445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399247326","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":[0.99913234,0.000044253928,0.00043728534,0.000017581437,0.000003092271,0.0000028618992,0.00018318532,0.000007105928,0.00017239765],"genre_scores_gemma":[0.9988813,0.00002010871,0.0005579316,0.000009944171,0.0000014763503,0.0000047362396,0.00026007407,0.0000035738262,0.00026086599],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967396,0.00009623088,0.000021320444,0.00011350713,0.00004931388,0.00004568241],"domain_scores_gemma":[0.9996842,0.00008744398,0.000087793924,0.00004085601,0.00005426683,0.0000454023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040243517,0.00022369369,0.0003085545,0.00070453226,0.0002518633,0.0003373374,0.0001347199,0.00013747165,0.00077192334],"category_scores_gemma":[0.0005603368,0.000057847374,0.00045665685,0.0006108161,0.0002079965,0.0001181763,0.0001984147,0.0002768998,0.000110653586],"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":[0.0010679172,0.0001627321,0.81028724,0.00004112135,0.0004336106,0.00035444813,0.0010711754,0.00045319437,0.1276915,0.00017674413,0.00051543454,0.057744972],"study_design_scores_gemma":[0.0000017718288,0.00007697799,0.99729866,0.0000018875937,0.000023319022,0.00012110176,0.0002672108,0.00064350374,0.001215718,0.000033308446,0.000309829,0.0000067274423],"about_ca_topic_score_codex":0.005098425,"about_ca_topic_score_gemma":0.008277389,"teacher_disagreement_score":0.005098425,"about_ca_system_score_codex":0.0002521545,"about_ca_system_score_gemma":0.0001470318,"threshold_uncertainty_score":0.010137498},"labels":[],"label_agreement":null},{"id":"W4401036726","doi":"10.5376/lgg.2024.15.0004","title":"Advances in Phylogenomic Studies of the Fabaceae Family: Resolving Complex Evolutionary Relationships","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Botanical Research and Chemistry","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fabaceae; Evolutionary biology; Biology; Computational biology; Ecology","score_opus":0.06861679344304805,"score_gpt":0.2867379000685028,"score_spread":0.21812110662545475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401036726","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":[0.49779296,0.16501155,0.3046479,0.0113169495,0.00046425,0.00014534043,0.0073504504,0.0010853222,0.012185325],"genre_scores_gemma":[0.7394397,0.05538329,0.18663041,0.0035311056,0.00049720216,0.00014082652,0.012380236,0.00039009843,0.001607088],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99873203,0.0004983592,0.000090085,0.00033605582,0.00021271114,0.00013065382],"domain_scores_gemma":[0.9972652,0.0012109278,0.000542849,0.00035789976,0.0004526759,0.00017046758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044555063,0.0008396747,0.0010354616,0.0045422376,0.0012483901,0.002519083,0.0006690306,0.0008025117,0.0015875121],"category_scores_gemma":[0.004412027,0.00032277266,0.0011385645,0.0043010865,0.00067003944,0.002994995,0.0017417952,0.0016310744,0.000882862],"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":[0.00040944852,0.00023911796,0.19209662,0.0029593504,0.0014226809,0.0009635958,0.0040681097,0.00754253,0.26705837,0.0099581145,0.005240351,0.5080417],"study_design_scores_gemma":[0.000037680697,0.00025344722,0.6063853,0.001683004,0.0015450079,0.002253307,0.0066945595,0.04326535,0.02675009,0.070474274,0.24037659,0.0002813652],"about_ca_topic_score_codex":0.0030264447,"about_ca_topic_score_gemma":0.005080266,"teacher_disagreement_score":0.0045422376,"about_ca_system_score_codex":0.0010431778,"about_ca_system_score_gemma":0.0012482824,"threshold_uncertainty_score":0.023563266},"labels":[],"label_agreement":null},{"id":"W4401036750","doi":"10.5376/lgg.2024.15.0005","title":"Impact of Whole Genome Duplication Events on the Diversification of Legumes","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Legume Nitrogen Fixing Symbiosis","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Biology; Evolutionary biology; Diversification (marketing strategy); Adaptation (eye); Adaptability; Gene duplication; Trait; Niche; Ecology; Gene; Genetics","score_opus":0.017891591350427234,"score_gpt":0.23224458012357346,"score_spread":0.21435298877314624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401036750","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":[0.96895456,0.014873342,0.007795262,0.00036663775,0.000055879435,0.000028747703,0.0012035917,0.000113197355,0.0066088326],"genre_scores_gemma":[0.990417,0.0044382405,0.0025782958,0.00020785473,0.000020282718,0.00001271511,0.001159722,0.000027388447,0.001138552],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99969435,0.000058526137,0.000025969304,0.00010524682,0.000058451114,0.00005748595],"domain_scores_gemma":[0.9996865,0.00009145387,0.000087351495,0.000044204597,0.00004256108,0.00004797361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004971495,0.00045258628,0.0004416952,0.0013023937,0.0004833307,0.0007715483,0.0002867368,0.0004817464,0.0018829089],"category_scores_gemma":[0.00066017214,0.0001921333,0.0005801459,0.0010911137,0.00040570466,0.00068409374,0.00086525065,0.0004968454,0.00031642092],"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":[0.0010541886,0.000065057604,0.15666546,0.0012339497,0.00086265366,0.00465499,0.0009191019,0.0063002687,0.6539209,0.005964195,0.0005303413,0.16782889],"study_design_scores_gemma":[0.000031509102,0.00046290373,0.8934723,0.00021099723,0.0005872635,0.006469369,0.00093168195,0.005325419,0.0511254,0.0044005364,0.036872447,0.000110230634],"about_ca_topic_score_codex":0.0016662508,"about_ca_topic_score_gemma":0.0036886362,"teacher_disagreement_score":0.0018829089,"about_ca_system_score_codex":0.0007862187,"about_ca_system_score_gemma":0.0004202398,"threshold_uncertainty_score":0.0062989593},"labels":[],"label_agreement":null},{"id":"W4401036815","doi":"10.5376/lgg.2024.15.0006","title":"Unlocking the Genetic Potential of Winged Bean: A Comprehensive Genomic Toolkit","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","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":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Genomic selection; Biology; Computational biology; Genetics; Biotechnology; Data science; Computer science; Genotype; Gene; Single-nucleotide polymorphism","score_opus":0.012435585306153728,"score_gpt":0.19196276974326515,"score_spread":0.1795271844371114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401036815","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":[0.42165127,0.044392638,0.44522402,0.014293334,0.0008929991,0.00041877222,0.03997955,0.008245754,0.024901722],"genre_scores_gemma":[0.5119512,0.051962852,0.37463328,0.0033507128,0.00037222312,0.0003109261,0.049762722,0.0018075758,0.0058484585],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99957055,0.00006012079,0.00003026109,0.00013454935,0.00011676302,0.0000877908],"domain_scores_gemma":[0.9987225,0.00042743795,0.00018314354,0.00020411157,0.00015700873,0.00030575157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020379287,0.00049164664,0.0011251025,0.001605122,0.0007193873,0.002209731,0.0009776372,0.0007923817,0.001973022],"category_scores_gemma":[0.0015018178,0.0005892065,0.0009470974,0.0015039515,0.0010513754,0.0018215489,0.0025681516,0.003149265,0.000761533],"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":[0.00090944354,0.0000905248,0.004374159,0.0018720344,0.00017913367,0.00080163707,0.0014027135,0.00489671,0.79813397,0.034179185,0.0043118033,0.14884862],"study_design_scores_gemma":[0.00026700372,0.0006735589,0.058678348,0.0020075089,0.00076231954,0.0022199736,0.0016805676,0.012488615,0.11855494,0.10623214,0.69598705,0.00044787597],"about_ca_topic_score_codex":0.0031913195,"about_ca_topic_score_gemma":0.008157534,"teacher_disagreement_score":0.0031913195,"about_ca_system_score_codex":0.0010544303,"about_ca_system_score_gemma":0.0026424055,"threshold_uncertainty_score":0.010777712},"labels":[],"label_agreement":null},{"id":"W4401276644","doi":"10.5376/lgg.2024.15.0010","title":"The Genetics of Root Architecture in Legumes: Implications for Nutrient Uptake Efficiency","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Legume Nitrogen Fixing Symbiosis","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Genetic architecture; Root (linguistics); Nutrient; Biology; Architecture; Agronomy; Botany; Genetics; Ecology; History; Gene; Philosophy; Quantitative trait locus; Linguistics","score_opus":0.013169769165828618,"score_gpt":0.23198882653008077,"score_spread":0.21881905736425214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401276644","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":[0.9794144,0.0060856547,0.012113741,0.00025515884,0.000014230313,0.0000132256855,0.00035953973,0.00010030975,0.0016437193],"genre_scores_gemma":[0.99289095,0.0016670931,0.0044935835,0.00007072576,0.000008526058,0.000008894016,0.00020348738,0.00002057085,0.00063621346],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998565,0.000032912947,0.000009727435,0.0000440919,0.000032764066,0.00002391045],"domain_scores_gemma":[0.9998221,0.0000451879,0.00007290784,0.000015174133,0.00002013287,0.000024496803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022095392,0.0003853762,0.00024716617,0.0006123165,0.00021310791,0.0004709171,0.00022315387,0.0002716944,0.00042766813],"category_scores_gemma":[0.00020172357,0.00012573853,0.00020781808,0.00035808142,0.0002921734,0.00026647202,0.00037149893,0.00025630608,0.00008247317],"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":[0.00006639155,0.000012978884,0.011263686,0.00009026795,0.000042875945,0.0001433017,0.000081952676,0.0005873775,0.9732699,0.0010742357,0.0000460848,0.013320939],"study_design_scores_gemma":[0.000047870355,0.00042685695,0.8265438,0.000090370864,0.00025018153,0.002552337,0.0003893876,0.009729624,0.14417173,0.00490962,0.010786703,0.00010155604],"about_ca_topic_score_codex":0.0025765905,"about_ca_topic_score_gemma":0.0067511424,"teacher_disagreement_score":0.0025765905,"about_ca_system_score_codex":0.0005029464,"about_ca_system_score_gemma":0.0003127133,"threshold_uncertainty_score":0.005123198},"labels":[],"label_agreement":null},{"id":"W4401276679","doi":"10.5376/lgg.2024.15.0007","title":"Genomic Insights into the Domestication of Major Legume Crops","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Agricultural pest management studies","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Domestication; Biology; Legume; Biotechnology; Genetic diversity; Agriculture; Genomics; Crop; Agroforestry; Agronomy; Genome; Ecology; Genetics; Population","score_opus":0.008767019690812472,"score_gpt":0.20374651130075289,"score_spread":0.1949794916099404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401276679","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":[0.93100464,0.016311107,0.032754123,0.001558378,0.00008312427,0.000060005237,0.006276572,0.0002581848,0.011693839],"genre_scores_gemma":[0.95205283,0.012392573,0.0221486,0.00061568315,0.000069239264,0.000032690503,0.0097494135,0.000068143454,0.002870843],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99990296,0.000019078054,0.0000068766262,0.00003398126,0.000013882427,0.000023240531],"domain_scores_gemma":[0.99980956,0.00006963293,0.000054646647,0.000016518114,0.000019804163,0.00002994532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020405385,0.00043741136,0.00026485175,0.0011889231,0.00021855754,0.0005821269,0.000278589,0.00044333024,0.0012362371],"category_scores_gemma":[0.00033159018,0.0001629914,0.00043011588,0.00097642664,0.00021361609,0.0004535014,0.00041873124,0.00051715784,0.0003045767],"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":[0.0002737001,0.00005335002,0.0066204704,0.00038753994,0.000054783468,0.0012641049,0.0006638381,0.0012239569,0.9168611,0.005692273,0.00025506667,0.0666498],"study_design_scores_gemma":[0.000065808126,0.0011520644,0.4956098,0.00058623054,0.00069458963,0.00652872,0.0036044065,0.0059766974,0.28337792,0.021084247,0.18118691,0.00013266859],"about_ca_topic_score_codex":0.0014556174,"about_ca_topic_score_gemma":0.0021240553,"teacher_disagreement_score":0.0014556174,"about_ca_system_score_codex":0.0005108979,"about_ca_system_score_gemma":0.00037091397,"threshold_uncertainty_score":0.0041356087},"labels":[],"label_agreement":null},{"id":"W4401276683","doi":"10.5376/lgg.2024.15.0009","title":"The Impact of Genomic Studies on Alfalfa Crop Improvement","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Wheat and Barley Genetics and Pathology","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Crop; Agronomy; Biology; Biotechnology","score_opus":0.02418176925912955,"score_gpt":0.27230533350579167,"score_spread":0.24812356424666213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401276683","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":[0.6973601,0.18218258,0.02921686,0.038513843,0.0010521887,0.00012028427,0.0035498163,0.00021173616,0.047792677],"genre_scores_gemma":[0.86631405,0.096771136,0.025294313,0.006875161,0.00056386716,0.00005117632,0.0019936159,0.000041319094,0.0020954513],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985268,0.00079237693,0.00007408958,0.00025360522,0.0002554108,0.000097669705],"domain_scores_gemma":[0.9945193,0.003094041,0.0006265944,0.00050793827,0.00088914833,0.0003629746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006109448,0.0004522292,0.00038608347,0.001213077,0.00039891218,0.0013544436,0.00035961458,0.0006307245,0.0013086767],"category_scores_gemma":[0.0050154356,0.00010258568,0.00053074525,0.001645455,0.0006693093,0.00073009933,0.00079108065,0.00069263874,0.00016145618],"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":[0.0010705566,0.00016610093,0.08913788,0.0026407281,0.00091797946,0.0021135316,0.0020906092,0.00508439,0.10914691,0.030726023,0.0043110736,0.7525943],"study_design_scores_gemma":[0.00013453301,0.0011614161,0.6266919,0.0024970474,0.002285671,0.0012517255,0.0038386176,0.0025180068,0.023777913,0.047262136,0.28844452,0.0001365527],"about_ca_topic_score_codex":0.0048319018,"about_ca_topic_score_gemma":0.0072673922,"teacher_disagreement_score":0.006109448,"about_ca_system_score_codex":0.0010563084,"about_ca_system_score_gemma":0.002004717,"threshold_uncertainty_score":0.032310247},"labels":[],"label_agreement":null},{"id":"W4401276878","doi":"10.5376/lgg.2024.15.0008","title":"Taxonomic Revisions in the Fabaceae: Implications from Genetic Studies","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Botanical Research and Chemistry","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fabaceae; Biology; Taxonomy (biology); Evolutionary biology; Genetic diversity; Biodiversity; Plant taxonomy; Phylogenetics; Phylogenetic tree; Taxonomic rank; Ecology; Systematics; Genetics; Taxon; Gene","score_opus":0.05312243234058789,"score_gpt":0.2954998559359923,"score_spread":0.24237742359540443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401276878","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":[0.81164896,0.044438247,0.03573712,0.07920584,0.0015768645,0.00020156532,0.0005046265,0.000083140214,0.026603712],"genre_scores_gemma":[0.97342324,0.007874395,0.0145509,0.002742145,0.00042828696,0.000031657317,0.0002301796,0.000019831776,0.00069943536],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9941573,0.0029866968,0.00049015816,0.0008601194,0.0011308865,0.00037484907],"domain_scores_gemma":[0.97103596,0.014869697,0.006132624,0.0013965417,0.005548684,0.0010164868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017964099,0.0003926125,0.0005040882,0.0036777086,0.002086679,0.0027909442,0.0016539586,0.0008792493,0.0012870155],"category_scores_gemma":[0.040819112,0.00013791044,0.000432912,0.0049315067,0.004115312,0.004208396,0.0017947245,0.0014682764,0.00012814974],"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":[0.00040411286,0.00011375017,0.3024775,0.0014293643,0.00026347436,0.0037660943,0.048013236,0.0033827277,0.007738121,0.09629405,0.0047313464,0.5313862],"study_design_scores_gemma":[0.00005537854,0.00028055432,0.59430754,0.0034212507,0.0004440826,0.0037828933,0.09909452,0.0072959857,0.0026310298,0.15493158,0.13350835,0.00024685272],"about_ca_topic_score_codex":0.018982152,"about_ca_topic_score_gemma":0.026068047,"teacher_disagreement_score":0.018982152,"about_ca_system_score_codex":0.0042643514,"about_ca_system_score_gemma":0.0039779865,"threshold_uncertainty_score":0.09500432},"labels":[],"label_agreement":null},{"id":"W4401495930","doi":"10.5376/lgg.2024.15.0013","title":"Genomic Insights into <i>Robinia pseudoacacia</i>: Implications for Silviculture and Beyond","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Bioenergy crop production and management","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Robinia; Silviculture; Biology; Botany; Agroforestry","score_opus":0.010511545843135432,"score_gpt":0.21361413279808153,"score_spread":0.2031025869549461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401495930","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":[0.9625288,0.012646247,0.010665526,0.00087833055,0.00006312037,0.000053633925,0.0030057987,0.00036997808,0.009788502],"genre_scores_gemma":[0.97461253,0.0049669924,0.010603555,0.00028843616,0.000043222222,0.00003034357,0.0041232374,0.0000958383,0.0052359137],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999268,0.000007965434,0.0000044805865,0.00003100554,0.000015159724,0.000014589716],"domain_scores_gemma":[0.99983835,0.000017781758,0.000062834544,0.000013619594,0.000027366814,0.000040008956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015862894,0.0004491829,0.00024854485,0.0005479993,0.0002654691,0.00058049575,0.00025647428,0.00033098378,0.0012294996],"category_scores_gemma":[0.00017173555,0.00009710855,0.00027574511,0.0005164411,0.00024687318,0.0005054635,0.00021831969,0.00037105384,0.00048617032],"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":[0.00010828915,0.000022275279,0.004534605,0.00020283197,0.0000140117645,0.00045879564,0.0002486529,0.00026474465,0.96424115,0.0009449088,0.00020816663,0.028751582],"study_design_scores_gemma":[0.000047202888,0.00044790917,0.5874972,0.00026231143,0.00016397616,0.004952702,0.003156059,0.0047728047,0.19987065,0.0043529947,0.19433984,0.00013643975],"about_ca_topic_score_codex":0.005009607,"about_ca_topic_score_gemma":0.005495395,"teacher_disagreement_score":0.005009607,"about_ca_system_score_codex":0.00044848592,"about_ca_system_score_gemma":0.000444096,"threshold_uncertainty_score":0.009960949},"labels":[],"label_agreement":null},{"id":"W4401495980","doi":"10.5376/lgg.2024.15.0011","title":"Legume Evolution: From Wild Ancestors to Modern Crops","year":2023,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Legume Nitrogen Fixing Symbiosis","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Legume; Domestication; Biology; Agroforestry; Botany; Ecology","score_opus":0.017224928470369053,"score_gpt":0.2109044985968259,"score_spread":0.19367957012645684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401495980","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":[0.42502996,0.46006066,0.009904216,0.027835116,0.00094095804,0.000026340966,0.00040115355,0.00011232184,0.07568928],"genre_scores_gemma":[0.76947933,0.19294743,0.010243406,0.008501348,0.00066593033,0.000022345206,0.00043806594,0.00006535999,0.017636739],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997775,0.000070149435,0.000009672257,0.000054273758,0.000048489583,0.00003997635],"domain_scores_gemma":[0.9998568,0.00004670119,0.000028664244,0.000014929586,0.00002647058,0.000026450165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006887895,0.00026319365,0.00026607726,0.00057725236,0.001002331,0.002885133,0.00029946383,0.00047871485,0.0021020342],"category_scores_gemma":[0.0006004099,0.00010642411,0.00015378087,0.0008703492,0.0017796287,0.0020630478,0.00090715545,0.00072185893,0.000306324],"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":[0.00036382338,0.000050016486,0.038632713,0.0013325963,0.00010836427,0.0017289977,0.02269032,0.00066614314,0.037790064,0.14865272,0.009507756,0.7384765],"study_design_scores_gemma":[0.000012617688,0.00026582676,0.14934011,0.0012096012,0.00007316873,0.0026522132,0.01180365,0.00045946497,0.0031819337,0.068635605,0.7623126,0.000053208598],"about_ca_topic_score_codex":0.0041702366,"about_ca_topic_score_gemma":0.010463086,"teacher_disagreement_score":0.0041702366,"about_ca_system_score_codex":0.0019721857,"about_ca_system_score_gemma":0.0006919496,"threshold_uncertainty_score":0.014309287},"labels":[],"label_agreement":null},{"id":"W4401495981","doi":"10.5376/lgg.2024.15.0015","title":"The Role of <i>Rhizobium</i> in Legume Crop Enhancement: Genetic Insights and Practical Applications","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Legume Nitrogen Fixing Symbiosis","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Legume; Rhizobium; Crop; Biology; Biotechnology; Agronomy; Genetics; Bacteria","score_opus":0.0076603734257861345,"score_gpt":0.21583013613984633,"score_spread":0.2081697627140602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401495981","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":[0.65505916,0.14048284,0.09863683,0.025643284,0.00079630147,0.00027463242,0.0012846378,0.0009616929,0.07686063],"genre_scores_gemma":[0.9046594,0.037032,0.045750152,0.001508617,0.000114458606,0.00006132612,0.0006237296,0.000075221506,0.010175029],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99978966,0.000054170792,0.00001276605,0.000044436696,0.000049021113,0.000049982198],"domain_scores_gemma":[0.9997836,0.00004059541,0.000053773718,0.000025075042,0.000045623106,0.000051412342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068135746,0.0004087133,0.00030164156,0.00044685643,0.00036712378,0.0010947541,0.00043409428,0.00080114556,0.0012806327],"category_scores_gemma":[0.00025367946,0.00013890276,0.00036092757,0.00041565186,0.0006352648,0.00095630664,0.0006834603,0.0009532393,0.0005395514],"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":[0.00020080897,0.0000779666,0.0023270557,0.00050183455,0.00002329015,0.00055389805,0.00022081741,0.0006031596,0.8841569,0.0076855044,0.0015399862,0.10210887],"study_design_scores_gemma":[0.00007161781,0.0014752429,0.029773941,0.0006794675,0.00028494268,0.002489652,0.002066247,0.0115825785,0.6275966,0.018338067,0.30550092,0.00014066916],"about_ca_topic_score_codex":0.003494177,"about_ca_topic_score_gemma":0.005346316,"teacher_disagreement_score":0.003494177,"about_ca_system_score_codex":0.0011855362,"about_ca_system_score_gemma":0.0013902017,"threshold_uncertainty_score":0.008601725},"labels":[],"label_agreement":null},{"id":"W4401496006","doi":"10.5376/lgg.2024.15.0012","title":"Evolutionary Genomics of Peas Insights into Domestication and Diversity","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Genetic and Environmental Crop Studies","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Domestication; Genomics; Diversity (politics); Evolutionary biology; Biology; Population genomics; Genetics; Genome; Gene; Sociology; Anthropology","score_opus":0.009640034520856877,"score_gpt":0.18080055681496462,"score_spread":0.17116052229410775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401496006","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":[0.96274066,0.011215331,0.011075772,0.00088496215,0.00002508476,0.000021427177,0.0008302192,0.000099973695,0.013106488],"genre_scores_gemma":[0.9806176,0.008122064,0.0060901246,0.00030050878,0.000028395665,0.000021171429,0.0015432596,0.000049663904,0.0032272493],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998079,0.000047889844,0.000013495434,0.00006539563,0.0000358111,0.000029653014],"domain_scores_gemma":[0.99983037,0.000056228757,0.000034804358,0.000018623015,0.00003360164,0.000026361125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053590594,0.00022723092,0.00031010955,0.0011764629,0.0003891419,0.0008087187,0.00022657,0.00029913112,0.0010099381],"category_scores_gemma":[0.00039217746,0.00014222367,0.00034524727,0.0010231468,0.00036387096,0.0006274329,0.00073989725,0.00047565045,0.00023136986],"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":[0.00036875275,0.000045339915,0.056143217,0.0006121922,0.00019705077,0.0016709332,0.0040305066,0.0019774789,0.7179742,0.009741937,0.0006351526,0.20660321],"study_design_scores_gemma":[0.000017974111,0.00043128652,0.88691086,0.00022094992,0.00019256586,0.0026522123,0.002368438,0.0037198593,0.023897199,0.010214663,0.06931568,0.00005821003],"about_ca_topic_score_codex":0.00095214363,"about_ca_topic_score_gemma":0.0017112739,"teacher_disagreement_score":0.0011764629,"about_ca_system_score_codex":0.00055510417,"about_ca_system_score_gemma":0.00028395889,"threshold_uncertainty_score":0.0040275455},"labels":[],"label_agreement":null},{"id":"W4401496012","doi":"10.5376/lgg.2024.15.0014","title":"Genomic Tools in Soybean Breeding: Innovations and Impacts","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Genomic selection; Biology; Biotechnology; Computational biology; Genetics; Gene; Genotype","score_opus":0.0317985756873274,"score_gpt":0.23789745877400068,"score_spread":0.2060988830866733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401496012","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":[0.060432695,0.7608625,0.1052369,0.027727699,0.0017906496,0.00020770737,0.0008779302,0.00094022485,0.04192362],"genre_scores_gemma":[0.15613629,0.67261684,0.15427329,0.0056688674,0.0010690254,0.00020694888,0.0016404717,0.00028096238,0.008107335],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989618,0.00040010552,0.000073140116,0.00021265155,0.0002707474,0.0000815548],"domain_scores_gemma":[0.99876237,0.0006849531,0.00016171562,0.00010787655,0.00016226854,0.00012087824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044438816,0.0006372158,0.0006308339,0.0014870805,0.0003353428,0.0018820937,0.0006569571,0.0010670598,0.0025748427],"category_scores_gemma":[0.0023051165,0.0003200376,0.0006423879,0.0012925257,0.0010306907,0.0023511818,0.0013963411,0.0017637501,0.0008926624],"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":[0.00030049976,0.00014447398,0.0038166202,0.0026296307,0.000094582865,0.00081973977,0.0005070208,0.0016737554,0.07521688,0.05331588,0.0048408695,0.85664004],"study_design_scores_gemma":[0.00011194066,0.0011613254,0.01050896,0.002890379,0.00030832147,0.0029356396,0.0009751527,0.0022773661,0.041959733,0.051537413,0.8851868,0.00014691762],"about_ca_topic_score_codex":0.0008936117,"about_ca_topic_score_gemma":0.0012664739,"teacher_disagreement_score":0.0044438816,"about_ca_system_score_codex":0.0011029667,"about_ca_system_score_gemma":0.0014810101,"threshold_uncertainty_score":0.023501813},"labels":[],"label_agreement":null},{"id":"W4402072869","doi":"10.5376/lgg.2024.15.0016","title":"Syntenic Relationships and Chromosomal Evolution in the Legume Family","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Legume Nitrogen Fixing Symbiosis","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Synteny; Biology; Evolutionary biology; Legume; Genetics; Agronomy; Chromosome; Gene","score_opus":0.01897115038184708,"score_gpt":0.20548508505583585,"score_spread":0.18651393467398877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402072869","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":[0.98925996,0.005065773,0.0022754092,0.00007314587,0.0000043031396,0.000011049591,0.0006351034,0.00004827492,0.0026271613],"genre_scores_gemma":[0.99503183,0.001093224,0.001721111,0.00003296176,0.0000062096015,0.000010369802,0.0012788138,0.000012684111,0.00081273983],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997147,0.000053826243,0.000015417814,0.00012419988,0.00005154409,0.00004031953],"domain_scores_gemma":[0.99966013,0.000096509495,0.00012159544,0.000026042693,0.000049848964,0.000046002795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002903288,0.00016019228,0.00024990353,0.0032749667,0.0004631143,0.00051390135,0.00027647062,0.00025319474,0.0025856835],"category_scores_gemma":[0.00067378295,0.0001329382,0.00023991162,0.00250436,0.0002549843,0.00029579125,0.0005596389,0.00019689628,0.00040795855],"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":[0.0008659242,0.00005123046,0.30311292,0.00058280234,0.00056523137,0.0014922614,0.0044022296,0.0015310694,0.53968334,0.004182796,0.0004826894,0.14304742],"study_design_scores_gemma":[0.000012408225,0.00009358448,0.98173034,0.000048716007,0.000115096824,0.0012166256,0.00062477385,0.0009639839,0.003111017,0.0009992651,0.011061768,0.00002232205],"about_ca_topic_score_codex":0.003510037,"about_ca_topic_score_gemma":0.005178639,"teacher_disagreement_score":0.003510037,"about_ca_system_score_codex":0.00042826968,"about_ca_system_score_gemma":0.00024356309,"threshold_uncertainty_score":0.008649945},"labels":[],"label_agreement":null},{"id":"W4402072917","doi":"10.5376/lgg.2024.15.0017","title":"Molecular Mechanisms of Nitrogen-Fixing Symbiosis in Fabaceae","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Legume Nitrogen Fixing Symbiosis","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fabaceae; Symbiosis; Nitrogen fixation; Biology; Computational biology; Botany; Genetics; Bacteria","score_opus":0.008422192529544442,"score_gpt":0.2017573988716682,"score_spread":0.19333520634212376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402072917","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":[0.79160506,0.15807237,0.03814649,0.0018619684,0.0001785206,0.000068698144,0.00065432093,0.000519674,0.008892808],"genre_scores_gemma":[0.963048,0.025524119,0.006446695,0.0002541085,0.0000443831,0.000045971767,0.0006537078,0.000016318834,0.0039667045],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999058,0.000013970801,0.0000052619034,0.000027809307,0.000021890963,0.000025171581],"domain_scores_gemma":[0.9999144,0.000008620913,0.00004009424,0.0000057070706,0.000013888876,0.00001727248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021549978,0.0003801336,0.00021788901,0.00036662747,0.00035940224,0.00045291168,0.00038616775,0.00039841188,0.0006325413],"category_scores_gemma":[0.00010521676,0.0001449258,0.0002912265,0.00015251392,0.0002827427,0.0005649929,0.0003044986,0.00035729443,0.0002448299],"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":[0.00007541819,0.000017689857,0.0010455686,0.00022210123,0.000016718945,0.00025203516,0.0000814547,0.00028451157,0.9889259,0.0014581586,0.00014830392,0.0074721677],"study_design_scores_gemma":[0.000094546056,0.00085215253,0.24859282,0.0003266927,0.0003173452,0.0031262524,0.0012109202,0.013847381,0.6587055,0.015443739,0.057344757,0.00013804415],"about_ca_topic_score_codex":0.0011488841,"about_ca_topic_score_gemma":0.0009714854,"teacher_disagreement_score":0.0011488841,"about_ca_system_score_codex":0.0005691211,"about_ca_system_score_gemma":0.00028136987,"threshold_uncertainty_score":0.0041292906},"labels":[],"label_agreement":null},{"id":"W4402072925","doi":"10.5376/lgg.2024.15.0019","title":"Phylogenetic Relationships and Genetic Diversity among Domesticated Legumes","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Agricultural pest management studies","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Domestication; Phylogenetic tree; Genetic diversity; Evolutionary biology; Phylogenetic diversity; Diversity (politics); Biology; Phylogenetics; Phylogenetic relationship; Genealogy; Genetics; Anthropology; Sociology; Gene; History; Demography","score_opus":0.02095016325398599,"score_gpt":0.19438284107244144,"score_spread":0.17343267781845545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402072925","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":[0.9946085,0.0023692676,0.0014408958,0.000063041734,0.000004544614,0.000005672885,0.00035720752,0.000007493973,0.0011435056],"genre_scores_gemma":[0.996461,0.0009460257,0.0016002805,0.000042545103,0.000005800462,0.000006005938,0.00074100733,0.0000041752155,0.00019319051],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996947,0.00009598256,0.000023375958,0.00009912812,0.000042598705,0.000044325778],"domain_scores_gemma":[0.9996117,0.00011999983,0.00012959901,0.000033392225,0.00006153942,0.000043785094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041697142,0.00015392038,0.00023346438,0.0019989698,0.00040121854,0.00066324335,0.00023588649,0.00023615561,0.00056562276],"category_scores_gemma":[0.0007194894,0.00008097745,0.00023839143,0.0022401058,0.00036262517,0.00024272063,0.00042272685,0.00022879882,0.00009957247],"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":[0.00058312295,0.00008539613,0.4552012,0.00053393765,0.0007054025,0.0014554944,0.009133569,0.0016381725,0.32431844,0.0045359605,0.00038956568,0.20141974],"study_design_scores_gemma":[0.000008818706,0.00015574732,0.9818002,0.0000791118,0.00013588839,0.001399241,0.0015638837,0.0012515419,0.0031382758,0.0009532681,0.009484955,0.000029096278],"about_ca_topic_score_codex":0.0032164124,"about_ca_topic_score_gemma":0.0071182563,"teacher_disagreement_score":0.0032164124,"about_ca_system_score_codex":0.0005441341,"about_ca_system_score_gemma":0.00022298224,"threshold_uncertainty_score":0.0063953996},"labels":[],"label_agreement":null},{"id":"W4402072935","doi":"10.5376/lgg.2024.15.0020","title":"CRISPR/Cas9 Genome Editing in Legumes: Opportunities for Functional Genomics and Breeding","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"CRISPR; Genome editing; Genomics; Functional genomics; Biology; Genome; Computational biology; Genetics; Gene","score_opus":0.02847308651354584,"score_gpt":0.2777563198513749,"score_spread":0.24928323333782904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402072935","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":[0.22397676,0.11889233,0.57275903,0.026370382,0.0022623704,0.00048071335,0.0022417682,0.0046072756,0.04840936],"genre_scores_gemma":[0.567735,0.09566914,0.3070198,0.0047919867,0.00061054714,0.00024695124,0.0026089235,0.0004972118,0.020820383],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995548,0.000083742656,0.000030480856,0.0001094478,0.00013791275,0.00008361474],"domain_scores_gemma":[0.9996201,0.00012150804,0.00007586706,0.000047429643,0.000052239924,0.0000828048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011649167,0.0005475669,0.0006123821,0.00052053685,0.00046118913,0.0017263967,0.000844838,0.0011625433,0.0027124987],"category_scores_gemma":[0.0006806913,0.00029148842,0.00077093835,0.00039554408,0.00074783876,0.0011985782,0.00092564104,0.0016755419,0.0006613753],"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":[0.00030975288,0.000119273216,0.0011795635,0.00083080435,0.00008464976,0.0006112819,0.00025938867,0.0037134902,0.69825447,0.04247757,0.0057462477,0.24641348],"study_design_scores_gemma":[0.00010941332,0.0013299393,0.0052489974,0.0005322627,0.00019425117,0.0021307915,0.0005302296,0.016397588,0.41860056,0.03604522,0.51865894,0.00022170972],"about_ca_topic_score_codex":0.00130571,"about_ca_topic_score_gemma":0.0024289375,"teacher_disagreement_score":0.0027124987,"about_ca_system_score_codex":0.0010835655,"about_ca_system_score_gemma":0.0009957934,"threshold_uncertainty_score":0.0090741515},"labels":[],"label_agreement":null},{"id":"W4402072937","doi":"10.5376/lgg.2024.15.0018","title":"The Role of Genomics in Advancing Pulse Crop Productivity","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Plant Genetic and Mutation Studies","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Genomics; Crop productivity; Crop; Biotechnology; Crop production; Biology; Environmental science; Business; Natural resource economics; Agricultural engineering; Agriculture; Agronomy; Engineering; Genome; Genetics; Economics; Gene; Ecology; Economic growth","score_opus":0.00761291739636524,"score_gpt":0.20612199922560434,"score_spread":0.1985090818292391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402072937","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":[0.3000314,0.16871406,0.2169984,0.14624372,0.002077766,0.0002694376,0.0018092454,0.0015110772,0.1623449],"genre_scores_gemma":[0.75479245,0.121476874,0.1032335,0.009114446,0.0009386534,0.00010805726,0.0005316513,0.00019238064,0.009611962],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994142,0.000249589,0.000020550271,0.000095827425,0.00014258038,0.00007731325],"domain_scores_gemma":[0.99851936,0.00088283035,0.00012727459,0.00011031496,0.00018569859,0.00017462546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032168543,0.0003963416,0.00030272338,0.0005833649,0.0005371297,0.002732704,0.00055209384,0.0011011384,0.0030953314],"category_scores_gemma":[0.0021985958,0.00013094074,0.00025615073,0.00058736885,0.0013077031,0.0032567543,0.0015823593,0.0013138377,0.0005792693],"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":[0.00032598627,0.00014551546,0.011480535,0.0010713835,0.000062960775,0.00052234984,0.001204606,0.003320666,0.14968045,0.11051534,0.008791466,0.71287876],"study_design_scores_gemma":[0.00008244541,0.0012555148,0.040251516,0.001388397,0.00017370832,0.0019446202,0.0053018024,0.007662375,0.07804882,0.24175522,0.6219902,0.00014538727],"about_ca_topic_score_codex":0.0010880699,"about_ca_topic_score_gemma":0.0014298224,"teacher_disagreement_score":0.0032168543,"about_ca_system_score_codex":0.001194346,"about_ca_system_score_gemma":0.0021125798,"threshold_uncertainty_score":0.017012537},"labels":[],"label_agreement":null},{"id":"W4403779152","doi":"10.5376/lgg.2024.15.0025","title":"In-Depth Analysis of Physiological, Biochemical, and Molecular Bases of Drought Tolerance in Soybeans","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Soybean genetics and cultivation","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Drought tolerance; Biology; Agronomy","score_opus":0.013877915063998226,"score_gpt":0.22868886822922194,"score_spread":0.21481095316522372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403779152","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":[0.9489953,0.032260302,0.01278604,0.0004984823,0.000041524287,0.00004555708,0.0023338087,0.00009975514,0.0029393258],"genre_scores_gemma":[0.9742386,0.013810006,0.007149104,0.00027002394,0.00003351539,0.000026053314,0.0029506262,0.000027940627,0.001494065],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999923,0.000009274955,0.000008820092,0.000027389653,0.000016638893,0.000014867656],"domain_scores_gemma":[0.9998872,0.00001877428,0.000039734616,0.0000082349825,0.000022601855,0.000023466353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033359413,0.00025795697,0.0004030529,0.00060082495,0.00022488995,0.00035807068,0.00019300879,0.00023796245,0.00035492782],"category_scores_gemma":[0.00013150081,0.00014272837,0.000353152,0.0003694008,0.00017099324,0.00052364916,0.00025852423,0.00045890134,0.000117102885],"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":[0.000068596586,0.00000923182,0.004347192,0.0001932555,0.000015653362,0.00008483248,0.00008729537,0.00013070599,0.98951554,0.00019677362,0.000041350046,0.0053094914],"study_design_scores_gemma":[0.000024280816,0.00061327737,0.72773415,0.00014118043,0.0002962139,0.0016101655,0.0012449598,0.00381351,0.23154756,0.0026347444,0.030273652,0.00006637465],"about_ca_topic_score_codex":0.0014654847,"about_ca_topic_score_gemma":0.002278126,"teacher_disagreement_score":0.0014654847,"about_ca_system_score_codex":0.00034364415,"about_ca_system_score_gemma":0.0003512107,"threshold_uncertainty_score":0.0029139519},"labels":[],"label_agreement":null},{"id":"W4403779374","doi":"10.5376/lgg.2024.15.0022","title":"Genetic Improvement of Chickpeas: Traits, Targets, and Technology","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Biology; Evolutionary biology; Biotechnology","score_opus":0.00502910123174601,"score_gpt":0.16849318063016958,"score_spread":0.16346407939842356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403779374","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":[0.51359534,0.21280083,0.24031346,0.0044540064,0.00040442342,0.00033465074,0.0023465874,0.0010724226,0.024678418],"genre_scores_gemma":[0.5511573,0.15509062,0.27429312,0.0007294662,0.00009165228,0.00017256406,0.0027778836,0.00022367192,0.015463646],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998499,0.000026611431,0.000009721362,0.000051721647,0.000046923997,0.000014972457],"domain_scores_gemma":[0.9998963,0.00002781976,0.000028996055,0.000012781543,0.00001984839,0.000014208753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005790016,0.0006134546,0.00037664073,0.0005658816,0.000251968,0.00087605265,0.00031333583,0.000489095,0.0005825762],"category_scores_gemma":[0.00020137383,0.000208382,0.00039244542,0.0006502173,0.00022096529,0.00042961453,0.00034992112,0.00091099384,0.00032982207],"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":[0.00007612298,0.000020355632,0.0009474405,0.0005334473,0.000032992277,0.00012004608,0.000075693846,0.0008121698,0.92745245,0.002802495,0.00031782314,0.06680891],"study_design_scores_gemma":[0.000045389286,0.0008586034,0.033645462,0.00064834586,0.0004549585,0.0027070157,0.0003032986,0.006922862,0.6894933,0.0041734157,0.26063895,0.00010833179],"about_ca_topic_score_codex":0.0020394353,"about_ca_topic_score_gemma":0.0033115963,"teacher_disagreement_score":0.0020394353,"about_ca_system_score_codex":0.0006300017,"about_ca_system_score_gemma":0.0005090005,"threshold_uncertainty_score":0.0045710206},"labels":[],"label_agreement":null},{"id":"W4403779383","doi":"10.5376/lgg.2024.15.0023","title":"Harnessing Genetic Diversity in Peanut for Enhanced Crop Performance","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Peanut Plant Research Studies","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Crop; Genetic diversity; Biotechnology; Biology; Agroforestry; Agronomy; Agricultural engineering; Engineering; Political science; Sociology","score_opus":0.03204742918964882,"score_gpt":0.2422473347038351,"score_spread":0.2101999055141863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403779383","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":[0.8870165,0.023023231,0.050886337,0.003577512,0.00030231278,0.00019761804,0.0013617035,0.00049788074,0.03313702],"genre_scores_gemma":[0.9370173,0.018408895,0.03512389,0.00061721524,0.00008508895,0.0001094159,0.0011976,0.000108580265,0.007331982],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984074,0.000040339077,0.0000101029345,0.000040387888,0.000042802207,0.000025646408],"domain_scores_gemma":[0.9998629,0.00003970229,0.000038135142,0.000013573598,0.000016311045,0.000029308321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063248555,0.000358335,0.00021561449,0.00058538455,0.0003463946,0.00070034125,0.00035302472,0.00030159843,0.0018533046],"category_scores_gemma":[0.000281901,0.00011702397,0.0002634226,0.00049326726,0.0003418985,0.00048236368,0.00069561356,0.00069201255,0.00024906863],"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":[0.00016949605,0.00005338794,0.0026170374,0.0003585348,0.000056029214,0.00030189322,0.00018645225,0.0012843311,0.92026436,0.005855491,0.00038715758,0.06846587],"study_design_scores_gemma":[0.00027410052,0.0022173333,0.12831528,0.0010761529,0.0006320539,0.0030710262,0.0019872237,0.012008434,0.5166722,0.026820924,0.30674127,0.00018397097],"about_ca_topic_score_codex":0.0015410798,"about_ca_topic_score_gemma":0.0045582703,"teacher_disagreement_score":0.0018533046,"about_ca_system_score_codex":0.00077224453,"about_ca_system_score_gemma":0.00062107487,"threshold_uncertainty_score":0.006199956},"labels":[],"label_agreement":null},{"id":"W4403779410","doi":"10.5376/lgg.2024.15.0024","title":"Translational Genomics in Legumes: Enhancing Crop Resilience and Yield","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Insect Resistance and Genetics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Resilience (materials science); Genomics; Yield (engineering); Crop; Biotechnology; Biology; Agronomy; Genome; Genetics; Materials science; Gene","score_opus":0.006814317626599204,"score_gpt":0.23132208590988929,"score_spread":0.22450776828329008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403779410","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":[0.7192187,0.0377082,0.19455202,0.011969926,0.0006995903,0.00046296528,0.002788164,0.001261372,0.031338945],"genre_scores_gemma":[0.8984252,0.02045499,0.07085208,0.001925667,0.00020058303,0.0001838736,0.002542506,0.00020055818,0.005214528],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996044,0.00013918491,0.00001962886,0.000081828744,0.00006687349,0.00008812849],"domain_scores_gemma":[0.9995894,0.00011731438,0.00010145686,0.00004979104,0.000055049255,0.00008706897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001705065,0.00063249696,0.00047459928,0.00047926203,0.00043422572,0.0017641204,0.0004478921,0.0006339339,0.0025619783],"category_scores_gemma":[0.0007253496,0.00014996275,0.0005843341,0.00062209385,0.00053829333,0.0010748595,0.001179433,0.0009857528,0.0005206952],"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":[0.0003445868,0.00011801299,0.0030306638,0.0011381014,0.000098057215,0.00044735687,0.00042902638,0.002328679,0.8615099,0.021258663,0.0012092334,0.10808768],"study_design_scores_gemma":[0.0002600384,0.003668213,0.049954455,0.0012462679,0.0010272806,0.0028899242,0.0032271456,0.011258588,0.48600176,0.089861825,0.35039803,0.00020649348],"about_ca_topic_score_codex":0.00060628395,"about_ca_topic_score_gemma":0.0012152368,"teacher_disagreement_score":0.0025619783,"about_ca_system_score_codex":0.001106564,"about_ca_system_score_gemma":0.0014349062,"threshold_uncertainty_score":0.009017348},"labels":[],"label_agreement":null},{"id":"W4403779429","doi":"10.5376/lgg.2024.15.0021","title":"Conservation of Winged Papilionate Flowers: A 30 Million Year Journey","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Botanical Research and Chemistry","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geography","score_opus":0.02210731471820392,"score_gpt":0.23833664005106422,"score_spread":0.2162293253328603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403779429","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":[0.10844969,0.6588497,0.007899435,0.19347495,0.0020902117,0.00007134605,0.00075035286,0.00020080224,0.028213494],"genre_scores_gemma":[0.5110815,0.42803124,0.01325312,0.029105954,0.0016356672,0.00008394977,0.00078672,0.00008665123,0.015935207],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99943155,0.00012636189,0.00003854599,0.00013825153,0.0001489414,0.00011633922],"domain_scores_gemma":[0.9981882,0.0006573468,0.00034210054,0.00017445521,0.0003141335,0.00032371902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027528468,0.00032068265,0.0005018189,0.0008094223,0.0014604547,0.002400744,0.00080326415,0.0022842349,0.0064413575],"category_scores_gemma":[0.0033387314,0.00022577835,0.00032625132,0.0010081544,0.0027368783,0.0031056658,0.002104201,0.0019920166,0.0004735795],"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":[0.00019531838,0.000057984093,0.009550416,0.0017947754,0.00008806057,0.00088784,0.0035627258,0.00056957477,0.0051946873,0.026764605,0.023317242,0.92801684],"study_design_scores_gemma":[0.00000986624,0.00023914385,0.04010726,0.0016917642,0.000065083914,0.0025821405,0.0047006425,0.0003359066,0.0013165926,0.023434244,0.92546684,0.00005045552],"about_ca_topic_score_codex":0.0072848275,"about_ca_topic_score_gemma":0.00834554,"teacher_disagreement_score":0.0072848275,"about_ca_system_score_codex":0.0019491165,"about_ca_system_score_gemma":0.0028106878,"threshold_uncertainty_score":0.02154845},"labels":[],"label_agreement":null},{"id":"W4406038213","doi":"10.5376/lgg.2024.15.0029","title":"Optimizing Soybean Yield Through Integrated Agronomic Management","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Soybean genetics and cultivation","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Agronomy; Business; Agricultural engineering; Engineering; Biology; Materials science","score_opus":0.02188184319290345,"score_gpt":0.2145820466332349,"score_spread":0.19270020344033145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406038213","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":[0.965726,0.0014862109,0.028614452,0.00020540137,0.000019712223,0.000076109995,0.00018340697,0.0002421843,0.0034464274],"genre_scores_gemma":[0.98655766,0.00053670304,0.012048655,0.000050026396,0.0000063008806,0.000028120478,0.00013367293,0.000016790897,0.0006220004],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985194,0.000018687271,0.00001016807,0.00005070376,0.000041211802,0.000027300715],"domain_scores_gemma":[0.9999087,0.000006336616,0.00004573036,0.00000615349,0.00001249064,0.000020482372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026962333,0.0003508322,0.00024298577,0.00027151525,0.00015907125,0.0004913871,0.00040325432,0.0001747505,0.00035080512],"category_scores_gemma":[0.00015241579,0.000102594684,0.0002042752,0.00021425373,0.00012846821,0.00036030382,0.00042462,0.00031686862,0.00009434289],"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":[0.000318388,0.00045587056,0.01219567,0.00019735478,0.000084845546,0.000085482214,0.00008396926,0.015600545,0.86946625,0.0008354906,0.0002371919,0.100438915],"study_design_scores_gemma":[0.0002621083,0.007637625,0.2762459,0.00012599588,0.0005806994,0.00041425807,0.00083269976,0.14769144,0.5265029,0.0051753162,0.03438347,0.00014757084],"about_ca_topic_score_codex":0.001525588,"about_ca_topic_score_gemma":0.0040284446,"teacher_disagreement_score":0.001525588,"about_ca_system_score_codex":0.000781706,"about_ca_system_score_gemma":0.0005996073,"threshold_uncertainty_score":0.00567168},"labels":[],"label_agreement":null},{"id":"W4406038244","doi":"10.5376/lgg.2024.15.0026","title":"Integrating GWAS and Genomic Selection to Enhance Soybean Breeding","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Soybean genetics and cultivation","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Genomic selection; Genome-wide association study; Selection (genetic algorithm); Computational biology; Biology; Biotechnology; Computer science; Genetics; Artificial intelligence; Single-nucleotide polymorphism; Gene; Genotype","score_opus":0.01165701990076308,"score_gpt":0.23245617495120582,"score_spread":0.22079915505044273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406038244","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":[0.47729427,0.007969323,0.48888588,0.003993036,0.0004722372,0.00060446654,0.0026925402,0.0038285758,0.014259657],"genre_scores_gemma":[0.63178205,0.0036856646,0.35811684,0.0019785739,0.00021226452,0.00021286121,0.0017513685,0.00030084184,0.001959502],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973061,0.001622174,0.00013424901,0.00044243663,0.00034340753,0.00015167471],"domain_scores_gemma":[0.99709857,0.0017368878,0.00031669682,0.0003130275,0.0003452674,0.00018958993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070884735,0.0010811543,0.0010871565,0.0019939875,0.00034936084,0.0013056484,0.00071724737,0.0006763493,0.0020593335],"category_scores_gemma":[0.004973045,0.00044115013,0.0009304269,0.0019022368,0.00039130062,0.0008752338,0.0017288423,0.00089355715,0.00049966836],"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":[0.0012622498,0.00061571575,0.124143004,0.0010098845,0.0018507233,0.001047664,0.000640841,0.027116511,0.23364146,0.010974237,0.002345477,0.5953523],"study_design_scores_gemma":[0.0009738877,0.004244766,0.5312323,0.00096742355,0.0053371843,0.0022796972,0.001441404,0.21255092,0.07478291,0.05342324,0.112198725,0.00056760444],"about_ca_topic_score_codex":0.001970074,"about_ca_topic_score_gemma":0.005731961,"teacher_disagreement_score":0.0070884735,"about_ca_system_score_codex":0.00053977926,"about_ca_system_score_gemma":0.0012474171,"threshold_uncertainty_score":0.037487864},"labels":[],"label_agreement":null},{"id":"W4406038248","doi":"10.5376/lgg.2024.15.0030","title":"The Genetic Basis of Carob Domestication and Its Industrial Applications","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Plant Physiology and Cultivation Studies","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Domestication; Basis (linear algebra); Biology; Genetics; Mathematics","score_opus":0.02421411315043005,"score_gpt":0.2207429010682808,"score_spread":0.19652878791785075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406038248","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":[0.9860767,0.0030486211,0.005265199,0.00032284416,0.000018723198,0.000022502276,0.0003390445,0.00007795495,0.004828302],"genre_scores_gemma":[0.9918902,0.0018141493,0.003973121,0.000056863002,0.000010228289,0.000018572353,0.0004939333,0.0000395425,0.0017033225],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998282,0.000027236043,0.000014799819,0.00006619984,0.000029468962,0.000034092132],"domain_scores_gemma":[0.9998271,0.00003322165,0.00007052004,0.000026737252,0.000016026042,0.000026499092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021501991,0.0004133102,0.00020288072,0.0009863916,0.00027965795,0.00034156584,0.00030324273,0.00037610112,0.0010730395],"category_scores_gemma":[0.00018636556,0.00017389431,0.0002331494,0.00064835965,0.0003876311,0.00022322091,0.00041756645,0.00039152897,0.00027397025],"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":[0.000105705294,0.000019252035,0.0028323648,0.000045824614,0.000009392477,0.00025179033,0.000050049734,0.000067955094,0.98854125,0.0010197486,0.000028644827,0.007027946],"study_design_scores_gemma":[0.00007503131,0.0005355507,0.4656873,0.00013091945,0.00019144901,0.008906153,0.0009455489,0.0027944045,0.46108845,0.0034368779,0.05613085,0.000077369514],"about_ca_topic_score_codex":0.0014561927,"about_ca_topic_score_gemma":0.0024255037,"teacher_disagreement_score":0.0014561927,"about_ca_system_score_codex":0.00044388525,"about_ca_system_score_gemma":0.00028732762,"threshold_uncertainty_score":0.0035896301},"labels":[],"label_agreement":null},{"id":"W4406038251","doi":"10.5376/lgg.2024.15.0028","title":"Marker-Assisted Selection Strategies for Drought Tolerance in Soybean and Future Perspectives","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Drought tolerance; Selection (genetic algorithm); Marker-assisted selection; Biotechnology; Biology; Computer science; Genetics; Agronomy; Genetic marker; Artificial intelligence; Gene","score_opus":0.011638570992541885,"score_gpt":0.22245758185810194,"score_spread":0.21081901086556004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406038251","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":[0.28698286,0.47062108,0.22742347,0.004536579,0.0003570629,0.00021788414,0.00044693344,0.0006676649,0.008746496],"genre_scores_gemma":[0.5522956,0.2487342,0.18970364,0.0010058683,0.00025543733,0.00022839829,0.0010987478,0.00011787429,0.0065602576],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997507,0.00008074836,0.000021658969,0.00006306496,0.000057493246,0.000026427013],"domain_scores_gemma":[0.9998209,0.00006296878,0.000044175642,0.00001231053,0.000035386987,0.000024212048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016329109,0.00041826267,0.00052929024,0.00052707334,0.00017018271,0.00061966473,0.000603607,0.0003948324,0.00064187107],"category_scores_gemma":[0.00045622938,0.00019536393,0.00041583495,0.0006095132,0.00027950975,0.00051483046,0.00032018285,0.00054102496,0.00017777683],"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":[0.0005274289,0.00016582871,0.0063752267,0.0013175095,0.00024483015,0.00073307235,0.00034729118,0.0036567433,0.52042073,0.012084286,0.001041885,0.45308515],"study_design_scores_gemma":[0.0005377884,0.008969403,0.10694208,0.0014960623,0.0018787251,0.005465486,0.0014023142,0.047298115,0.29957852,0.032158718,0.49376678,0.0005059745],"about_ca_topic_score_codex":0.0009264665,"about_ca_topic_score_gemma":0.0020000793,"teacher_disagreement_score":0.0016329109,"about_ca_system_score_codex":0.00042230252,"about_ca_system_score_gemma":0.00032913827,"threshold_uncertainty_score":0.008635759},"labels":[],"label_agreement":null},{"id":"W4406038282","doi":"10.5376/lgg.2024.15.0027","title":"The Role of Plant Density and Nutrient Management in Soybean Yield Optimization","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Soybean genetics and cultivation","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Nutrient; Nutrient management; Agronomy; Environmental science; Biology; Materials science; Ecology","score_opus":0.008737159429527479,"score_gpt":0.18119432622537424,"score_spread":0.17245716679584674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406038282","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":[0.9500459,0.013933353,0.025068678,0.0005261159,0.00005139458,0.000054018,0.00025822874,0.00014940047,0.009912754],"genre_scores_gemma":[0.98702455,0.0030395694,0.008357552,0.000078348356,0.00001345577,0.00002174423,0.00013201448,0.000021277527,0.0013115371],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989367,0.00002603152,0.0000073553033,0.000029165987,0.000029995459,0.000013715278],"domain_scores_gemma":[0.99988806,0.000028317187,0.00003194508,0.0000060486814,0.00002695189,0.000018730088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002773778,0.00026881503,0.0002469038,0.00026037428,0.00019545056,0.00039096747,0.0002491028,0.00014340528,0.00065187836],"category_scores_gemma":[0.00026098694,0.00010234786,0.00016123925,0.00021225234,0.00010467167,0.00042361228,0.00030107668,0.00019017907,0.00013598031],"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":[0.00028345548,0.00014639809,0.03826582,0.00051113113,0.00010552042,0.00021389224,0.00012809157,0.006089299,0.78169143,0.0020037133,0.0006683237,0.16989297],"study_design_scores_gemma":[0.00008254085,0.0018031889,0.6716312,0.00017547107,0.0005574088,0.00085820875,0.000894954,0.058657587,0.22667088,0.0056954566,0.032812066,0.00016107659],"about_ca_topic_score_codex":0.002835404,"about_ca_topic_score_gemma":0.0057425965,"teacher_disagreement_score":0.002835404,"about_ca_system_score_codex":0.00058910716,"about_ca_system_score_gemma":0.0003874111,"threshold_uncertainty_score":0.005637765},"labels":[],"label_agreement":null},{"id":"W4417015482","doi":"10.5376/lgg.2025.16.0002","title":"Genome-Wide Association Mapping of Drought Resistance Traits in Soybean","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Soybean genetics and cultivation","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Quantitative trait locus; Genome-wide association study; Drought tolerance; Drought resistance; Association mapping; Candidate gene; Trait; Marker-assisted selection; Selection (genetic algorithm)","score_opus":0.01222669483982068,"score_gpt":0.20687000612579406,"score_spread":0.1946433112859734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015482","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":[0.9949803,0.0008213899,0.0021175735,0.00008094123,0.000018203435,0.000013470536,0.001285161,0.000036741207,0.0006463326],"genre_scores_gemma":[0.9950147,0.0003292408,0.0023144358,0.000049550315,0.0000062053923,0.000016226288,0.0018845951,0.000015019722,0.00037001917],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996216,0.00006535963,0.00004082954,0.00017032113,0.00006046104,0.000041338015],"domain_scores_gemma":[0.99970907,0.00008072343,0.00007737575,0.000024474259,0.000040546576,0.00006780263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084692397,0.0002535634,0.00034091668,0.0012351072,0.00034102463,0.0002950148,0.00016315715,0.00021198498,0.00083881785],"category_scores_gemma":[0.0005366016,0.00014783395,0.0008960659,0.0015765692,0.00012857544,0.000103742364,0.00037496004,0.00028512158,0.00014127739],"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":[0.001258902,0.000098384226,0.64764553,0.00024220286,0.0010372045,0.0011536254,0.00043726154,0.001041631,0.31966794,0.000446111,0.00052879116,0.026442435],"study_design_scores_gemma":[0.000036863974,0.00006759719,0.99561226,0.0000074441673,0.00024215152,0.00024297064,0.00006918009,0.0011957097,0.0014233583,0.00009998119,0.000992408,0.000009986317],"about_ca_topic_score_codex":0.0057266313,"about_ca_topic_score_gemma":0.010095008,"teacher_disagreement_score":0.0057266313,"about_ca_system_score_codex":0.00030145986,"about_ca_system_score_gemma":0.00042710468,"threshold_uncertainty_score":0.011386633},"labels":[],"label_agreement":null},{"id":"W4417015483","doi":"10.5376/lgg.2025.16.0001","title":"Mining Key Agronomic Traits through GWAS and Integrating Breeding Strategies for Soybean","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Soybean genetics and cultivation","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Genome-wide association study; Genetic association; Agriculture; Genomics; Genomic selection; Key (lock); Plant breeding","score_opus":0.02660735790837159,"score_gpt":0.2480176878103122,"score_spread":0.2214103299019406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015483","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":[0.5556211,0.009652976,0.41662934,0.0015449136,0.0002364545,0.00045122262,0.009742463,0.0024433946,0.0036781963],"genre_scores_gemma":[0.6384043,0.0042945226,0.3391616,0.0009034111,0.00015028684,0.00039253806,0.014316602,0.00042174838,0.0019550403],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988011,0.00031259193,0.000121532445,0.00050980103,0.00015630946,0.000098630626],"domain_scores_gemma":[0.99883825,0.00057430775,0.00017968645,0.000108241424,0.00021393392,0.00008557532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024955631,0.001041759,0.0017758986,0.0032582735,0.0006320459,0.0015625792,0.00084165327,0.0006676659,0.001267149],"category_scores_gemma":[0.0033359714,0.0004920686,0.0022965863,0.0034184225,0.00024583595,0.00072396564,0.00078678457,0.000586457,0.00046102935],"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":[0.0009457598,0.00062069297,0.40716487,0.0016016898,0.003321397,0.0021462156,0.000855721,0.026772697,0.14000525,0.003477052,0.005278412,0.40781018],"study_design_scores_gemma":[0.00042380046,0.000979556,0.606721,0.00048416795,0.0096308505,0.0019623938,0.0016840657,0.30351046,0.023108708,0.01661506,0.034492303,0.0003877082],"about_ca_topic_score_codex":0.0051840465,"about_ca_topic_score_gemma":0.008304331,"teacher_disagreement_score":0.0051840465,"about_ca_system_score_codex":0.00042276533,"about_ca_system_score_gemma":0.0011042845,"threshold_uncertainty_score":0.013197899},"labels":[],"label_agreement":null},{"id":"W4417015484","doi":"10.5376/lgg.2025.16.0018","title":"Genetic Dissection of Isoflavone Content in Soybean Seeds","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Soybean genetics and cultivation","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Quantitative trait locus; Gene; Genotype; Genistein; Genetic diversity; Phytoestrogens; Isoflavones; Genetic architecture; Phenomics","score_opus":0.02049298368095533,"score_gpt":0.21962916499502508,"score_spread":0.19913618131406974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015484","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":[0.9808959,0.0004363802,0.014545259,0.000110812936,0.0000133712765,0.000049340644,0.002437556,0.00017871607,0.001332712],"genre_scores_gemma":[0.98159,0.00047353748,0.013425023,0.000114357965,0.0000050063386,0.000046354104,0.0025428315,0.00014287578,0.0016600417],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99980015,0.000032897347,0.000027558683,0.00006843501,0.00005075391,0.000020247318],"domain_scores_gemma":[0.9996971,0.000089485344,0.00010534533,0.000023960438,0.00002679593,0.000057323403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003556181,0.00034890499,0.00023883914,0.0007197034,0.00020944649,0.00029465105,0.00018961017,0.00025099097,0.00075595937],"category_scores_gemma":[0.00028049538,0.00026960098,0.00035351238,0.00041134958,0.00024539896,0.00011816131,0.0004964922,0.00044057515,0.00024161651],"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":[0.00009454319,0.000009212135,0.0016350428,0.000024685865,0.000015635274,0.000071702285,0.000032920627,0.00015872266,0.9958715,0.00013653224,0.000011785388,0.0019377443],"study_design_scores_gemma":[0.00013191898,0.0005200639,0.29007444,0.00006517633,0.00033700408,0.0012960521,0.0002755641,0.008790737,0.6882898,0.001059695,0.009076427,0.00008309226],"about_ca_topic_score_codex":0.0029978002,"about_ca_topic_score_gemma":0.006859118,"teacher_disagreement_score":0.0029978002,"about_ca_system_score_codex":0.000565252,"about_ca_system_score_gemma":0.00044130802,"threshold_uncertainty_score":0.005960703},"labels":[],"label_agreement":null},{"id":"W4417015485","doi":"10.5376/lgg.2025.16.0007","title":"Genome-Wide Identification of WRKY Transcription Factors in Chickpea and Their Roles in Stress Responses","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"WRKY protein domain; Transcription factor; Transcriptome; Abiotic stress; Gene; Identification (biology); Gene expression profiling; Phylogenetic tree","score_opus":0.006762949227456895,"score_gpt":0.227952348615104,"score_spread":0.2211893993876471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015485","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":[0.9622657,0.011143414,0.008823467,0.00013797455,0.000033209748,0.00006872595,0.01589616,0.00019816883,0.0014330543],"genre_scores_gemma":[0.92171276,0.007348443,0.022850776,0.00024381865,0.000020844287,0.00008564367,0.04385386,0.00010164426,0.0037821564],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999863,0.000008203899,0.000008968574,0.000071422975,0.000029525829,0.000018778124],"domain_scores_gemma":[0.99985373,0.00002161267,0.000040132967,0.000018401619,0.000036388992,0.000029765328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002220934,0.00047380777,0.00045015741,0.00088671694,0.00034547166,0.00038927214,0.00019414446,0.00033075793,0.0006188635],"category_scores_gemma":[0.00015959052,0.00019222274,0.00071568345,0.0007645463,0.00014417351,0.00022330285,0.0003470479,0.0005988468,0.00036877382],"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":[0.00018242537,0.000011295479,0.0047070184,0.00021651239,0.000071039256,0.00023136615,0.00011134192,0.00023705623,0.9886736,0.00007023942,0.00016053433,0.005327576],"study_design_scores_gemma":[0.00006456699,0.0003171881,0.69271475,0.00013326967,0.0006638525,0.0024927026,0.00040815028,0.004030393,0.26005697,0.00040367807,0.03863398,0.000080493126],"about_ca_topic_score_codex":0.0036272027,"about_ca_topic_score_gemma":0.005873961,"teacher_disagreement_score":0.0036272027,"about_ca_system_score_codex":0.00029074625,"about_ca_system_score_gemma":0.00039825425,"threshold_uncertainty_score":0.0072122216},"labels":[],"label_agreement":null},{"id":"W4417015486","doi":"10.5376/lgg.2025.16.0008","title":"CRISPR/Cas9-Mediated Knockout of Trypsin Inhibitor Genes in Soybean","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Trypsin inhibitor; Gene; Genome editing; Limiting; Transcriptome; Genome; Trypsin","score_opus":0.004905765057266734,"score_gpt":0.2700025401406441,"score_spread":0.26509677508337737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015486","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":[0.87472886,0.009571391,0.09438936,0.0008501961,0.0002885929,0.00025480188,0.0031654723,0.0023326445,0.014418635],"genre_scores_gemma":[0.9514261,0.004458691,0.034151834,0.00018855146,0.000015853499,0.00008334333,0.0020929235,0.00019205846,0.0073906155],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985564,0.000015408772,0.000025331467,0.00003379393,0.00005377462,0.00001598099],"domain_scores_gemma":[0.99992347,0.000015347136,0.000031087897,0.0000076052124,0.000009601117,0.000012839605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023727417,0.00032759833,0.00025230602,0.00020215122,0.00018732887,0.0003711025,0.0003121277,0.00040544488,0.00063173095],"category_scores_gemma":[0.00016411206,0.000197439,0.0003324749,0.00015936713,0.000230742,0.00019030459,0.00026514332,0.0005166186,0.00049257686],"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":[0.00003324791,0.0000051510624,0.00017077068,0.00008623581,0.0000058664173,0.000103261744,0.000014463605,0.0002797632,0.99588686,0.00032852558,0.000105299914,0.0029806448],"study_design_scores_gemma":[0.000025160598,0.00014771229,0.0031266038,0.000039726958,0.0000513933,0.00081428967,0.00005519278,0.00536891,0.9672993,0.0003092843,0.022741219,0.000021307875],"about_ca_topic_score_codex":0.0017880865,"about_ca_topic_score_gemma":0.002496939,"teacher_disagreement_score":0.0017880865,"about_ca_system_score_codex":0.0005662668,"about_ca_system_score_gemma":0.00040559177,"threshold_uncertainty_score":0.004108608},"labels":[],"label_agreement":null},{"id":"W4417015489","doi":"10.5376/lgg.2025.16.0006","title":"Comparative Genomic Analysis of Wild and Cultivated Mung Bean (Vigna radiata)","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Agricultural pest management studies","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vigna; Domestication; Genetic diversity; Mung bean; Radiata; Gene; Population; Legume; Gene pool","score_opus":0.01804200943646128,"score_gpt":0.24112035157601328,"score_spread":0.223078342139552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015489","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":[0.99415153,0.00065601786,0.0030249534,0.00004356379,0.000007170495,0.000009689391,0.0014753458,0.00003503712,0.00059666776],"genre_scores_gemma":[0.98890495,0.00038685737,0.0047000693,0.00007305745,0.000008594454,0.000017126244,0.0051725293,0.000023536173,0.0007132259],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99990666,0.000012257999,0.0000055411333,0.00004455308,0.000015109811,0.000015922791],"domain_scores_gemma":[0.9998872,0.000027213608,0.000031006355,0.000010613612,0.00001566566,0.000028270808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012432752,0.00014932692,0.00015554865,0.0006702636,0.00017944377,0.0001752556,0.000119559125,0.00014154261,0.0005237635],"category_scores_gemma":[0.0001822696,0.0000684089,0.00041830612,0.00058583973,0.00015234314,0.00008868511,0.0001710777,0.00021816384,0.000109874054],"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":[0.00018888395,0.000023111192,0.0046335743,0.00007250055,0.00004543585,0.00013196151,0.00018587206,0.00013860501,0.9895723,0.00013178845,0.000034933353,0.004841065],"study_design_scores_gemma":[0.000027354314,0.00041135846,0.83802855,0.000019364139,0.00031280794,0.0014633682,0.00054176885,0.002507822,0.14806862,0.0002440485,0.008345041,0.000029868772],"about_ca_topic_score_codex":0.0016664093,"about_ca_topic_score_gemma":0.002385402,"teacher_disagreement_score":0.0016664093,"about_ca_system_score_codex":0.00023489921,"about_ca_system_score_gemma":0.00012790033,"threshold_uncertainty_score":0.0033134818},"labels":[],"label_agreement":null},{"id":"W4417015490","doi":"10.5376/lgg.2025.16.0010","title":"Genomic Prediction of Yield and Protein Traits in Soybean Using Machine Learning Models","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Soybean genetics and cultivation","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Support vector machine; Random forest; Feature selection; Artificial neural network; Lasso (programming language); Selection (genetic algorithm); Principal component analysis; Stability (learning theory); Generalization","score_opus":0.0354016298034752,"score_gpt":0.21471261569803374,"score_spread":0.17931098589455854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015490","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":[0.8284224,0.00045273284,0.16973832,0.00013450571,0.000012546705,0.000011956074,0.0002628541,0.00039587982,0.00056882924],"genre_scores_gemma":[0.9813774,0.00011060755,0.017781736,0.000014488144,0.0000036562694,0.000011126268,0.00036457475,0.000011517813,0.00032484852],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999137,0.000025410342,0.0000043418895,0.000034603276,0.000011343385,0.000010728851],"domain_scores_gemma":[0.99979645,0.00012661506,0.000032831915,0.000009177608,0.000026708554,0.000008348979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004262867,0.0004884949,0.00030026317,0.0002917709,0.00012442998,0.00026852713,0.0001977314,0.0002331683,0.00018592397],"category_scores_gemma":[0.000751639,0.00014148647,0.00038167575,0.0002583264,0.00011373812,0.00023794838,0.00016374426,0.00027185224,0.00007277074],"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":[0.00009558497,0.000075230695,0.0187937,0.00002790835,0.00004878423,0.00007847615,0.000019646355,0.9330516,0.009173107,0.0004534978,0.0002668954,0.037915587],"study_design_scores_gemma":[0.0000014257137,0.000008510352,0.0018801511,6.79345e-7,0.000003222654,0.000002947425,0.0000018997546,0.99754107,0.00038316016,0.00015259224,0.000022614719,0.0000017300796],"about_ca_topic_score_codex":0.009940257,"about_ca_topic_score_gemma":0.009132992,"teacher_disagreement_score":0.009940257,"about_ca_system_score_codex":0.00041685117,"about_ca_system_score_gemma":0.00036873762,"threshold_uncertainty_score":0.01976484},"labels":[],"label_agreement":null},{"id":"W4417015492","doi":"10.5376/lgg.2025.16.0003","title":"Deciphering the Genetic Interactions That Control Soybean Agronomic Traits","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Soybean genetics and cultivation","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Quantitative trait locus; Trait; Mendelian inheritance; Genetic architecture; Identification (biology); Agriculture; Molecular breeding; Gene; Genome editing","score_opus":0.01580782333169876,"score_gpt":0.22137911121852316,"score_spread":0.2055712878868244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015492","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":[0.95653325,0.0107734995,0.025124123,0.0008282001,0.00006888283,0.000045678986,0.0022065872,0.00024235937,0.0041773496],"genre_scores_gemma":[0.9766773,0.0052357763,0.014203814,0.0004106337,0.000022524067,0.00004232823,0.0017641592,0.000085458254,0.0015580293],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998084,0.000027554548,0.000014684186,0.00007609179,0.00004116401,0.000032179618],"domain_scores_gemma":[0.99984133,0.000045383546,0.000058582602,0.000011743939,0.000019964695,0.000022857219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045082625,0.0004740016,0.00041880226,0.0005175965,0.00026598747,0.0005212898,0.0002626667,0.00038621214,0.000824844],"category_scores_gemma":[0.00029094174,0.00019844703,0.0003485958,0.00046923695,0.0002736695,0.00044591943,0.00042755276,0.0007395331,0.00024657985],"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":[0.00014380428,0.000035619254,0.012559027,0.0001892797,0.00006171023,0.00022270592,0.00016852411,0.0008746694,0.96271294,0.0017521203,0.00018207314,0.021097483],"study_design_scores_gemma":[0.00010178285,0.000485567,0.7409954,0.00023567204,0.0005341845,0.0009731745,0.00092147104,0.03456997,0.1636455,0.008608699,0.04878452,0.00014407524],"about_ca_topic_score_codex":0.0042451997,"about_ca_topic_score_gemma":0.0064065643,"teacher_disagreement_score":0.0042451997,"about_ca_system_score_codex":0.00053376966,"about_ca_system_score_gemma":0.00075430144,"threshold_uncertainty_score":0.008440971},"labels":[],"label_agreement":null},{"id":"W4417015493","doi":"10.5376/lgg.2025.16.0011","title":"Genetic Diversity of Legume Germplasm Resources and Their Application in High-Yield Breeding","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Botanical Research and Chemistry","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Germplasm; Genetic diversity; Agriculture; Selection (genetic algorithm); Genetic resources; Plant breeding; Biodiversity; Genetic variation","score_opus":0.013503358444381072,"score_gpt":0.2086419304585182,"score_spread":0.19513857201413712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015493","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":[0.8864761,0.019577933,0.08463921,0.0005854353,0.000072208815,0.00019156044,0.001574735,0.00027045954,0.00661246],"genre_scores_gemma":[0.9340168,0.005878869,0.056676526,0.00014558161,0.000035885445,0.00010129492,0.002340957,0.00006252883,0.00074156706],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99933136,0.00020600398,0.00006391957,0.00017634593,0.00014213468,0.00008019703],"domain_scores_gemma":[0.99957675,0.00011338509,0.00010504344,0.00004623077,0.00007971341,0.000078791636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001470681,0.00044871474,0.00045323995,0.0019750155,0.00046377248,0.0010289757,0.00050585467,0.00031415332,0.0006508953],"category_scores_gemma":[0.0008468861,0.00022142801,0.00039165345,0.0018486328,0.0002529491,0.00065048505,0.00060412433,0.0004897544,0.00015707008],"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":[0.00033922985,0.00015035558,0.048471484,0.0006798331,0.00025109106,0.00073816936,0.0006675992,0.002604951,0.5990277,0.0042044986,0.000578801,0.34228632],"study_design_scores_gemma":[0.0001889619,0.0015859626,0.63382214,0.000585214,0.0016422252,0.0038616133,0.0017330225,0.015057616,0.22511448,0.010072906,0.10602457,0.00031135604],"about_ca_topic_score_codex":0.0014644949,"about_ca_topic_score_gemma":0.0034214924,"teacher_disagreement_score":0.0019750155,"about_ca_system_score_codex":0.00057616516,"about_ca_system_score_gemma":0.0006647263,"threshold_uncertainty_score":0.00777781},"labels":[],"label_agreement":null},{"id":"W4417015494","doi":"10.5376/lgg.2025.16.0005","title":"Key Loci Identified by GWAS for Agronomic Traits in Soybean","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Soybean genetics and cultivation","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Genome-wide association study; Genomics; Genetic association; Selection (genetic algorithm); Key (lock); Genomic selection; Quantitative trait locus; Association mapping","score_opus":0.013088048484343643,"score_gpt":0.22694194096838632,"score_spread":0.21385389248404268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015494","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":[0.9854541,0.0049820524,0.004052735,0.00031163835,0.000087776236,0.00002392393,0.0032177854,0.00013325106,0.0017367997],"genre_scores_gemma":[0.993986,0.0010160705,0.0025544227,0.00016104405,0.000028820952,0.000018674944,0.0017577551,0.00003929421,0.0004379548],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99954337,0.00008677418,0.00005719037,0.0001997176,0.00007361515,0.00003929471],"domain_scores_gemma":[0.99950314,0.00019711726,0.00016386586,0.000031374006,0.000043409615,0.00006111109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007993284,0.00051179616,0.0005699587,0.0006567426,0.00030967584,0.00054742966,0.00017753747,0.0003536177,0.0017905666],"category_scores_gemma":[0.0007218785,0.00019398477,0.0009148158,0.001430013,0.00018194143,0.00016756916,0.00028974592,0.00043059324,0.00020708426],"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":[0.0026800986,0.000069373215,0.76884794,0.0007001734,0.003891277,0.0019042899,0.0003784531,0.0011089504,0.18313688,0.00063135434,0.0012801891,0.03537097],"study_design_scores_gemma":[0.000061733,0.00013395559,0.9926751,0.000037500315,0.0012517074,0.00057198363,0.00009574671,0.0009961596,0.001859197,0.00034322927,0.0019564219,0.000017331977],"about_ca_topic_score_codex":0.0022024747,"about_ca_topic_score_gemma":0.00472088,"teacher_disagreement_score":0.0022024747,"about_ca_system_score_codex":0.0001676027,"about_ca_system_score_gemma":0.0002739368,"threshold_uncertainty_score":0.005989969},"labels":[],"label_agreement":null},{"id":"W4417015498","doi":"10.5376/lgg.2025.16.0004","title":"Key Regulatory Genens Controlling Photosynthesis in Soybean","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Soybean genetics and cultivation","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Photosynthesis; Chloroplast; Key (lock); Agriculture; Gene; Regulator gene; Selection (genetic algorithm)","score_opus":0.011354973543667213,"score_gpt":0.2077398219204257,"score_spread":0.1963848483767585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015498","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":[0.9516937,0.012345222,0.021108257,0.0003708762,0.00016728374,0.00006962008,0.0036271582,0.0005154233,0.010102289],"genre_scores_gemma":[0.9815284,0.003115544,0.0077932,0.00014591515,0.000020676822,0.000034555243,0.0032634437,0.000072900715,0.0040254034],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99993396,0.000004350051,0.000004548856,0.00002960891,0.000015512576,0.000012066629],"domain_scores_gemma":[0.9999702,0.000004345034,0.00000940469,0.0000019201223,0.0000056618937,0.000008488686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009498208,0.00026484218,0.00018741372,0.00023195297,0.00017212407,0.00018379859,0.00013341174,0.00011255885,0.00075643504],"category_scores_gemma":[0.00006951335,0.000102532875,0.00022299627,0.00024175062,0.00013354869,0.00015553174,0.00018346313,0.00026669874,0.00024315053],"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":[0.000048996724,0.0000051530296,0.001022242,0.000084255546,0.0000030475244,0.00012236262,0.000044544515,0.00010642826,0.9937279,0.00056849205,0.00011440583,0.0041520726],"study_design_scores_gemma":[0.00011360007,0.00033146088,0.21770081,0.00009305092,0.00017996688,0.0017611925,0.00044793438,0.008930184,0.6958906,0.0027663603,0.07172344,0.00006146643],"about_ca_topic_score_codex":0.0023419799,"about_ca_topic_score_gemma":0.0024544145,"teacher_disagreement_score":0.0023419799,"about_ca_system_score_codex":0.00049046427,"about_ca_system_score_gemma":0.0003843855,"threshold_uncertainty_score":0.004656732},"labels":[],"label_agreement":null},{"id":"W4417015500","doi":"10.5376/lgg.2025.16.0009","title":"Identification of Key Signaling Genes in Soybean-Rhizobium Interaction","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Legume Nitrogen Fixing Symbiosis","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Regulator; Gene; Signal transduction; Identification (biology); Transcription factor; Nitrogen fixation; Proteomics; Genomics","score_opus":0.012396867783241602,"score_gpt":0.23696274246894505,"score_spread":0.22456587468570344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015500","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":[0.9691685,0.008058691,0.013263666,0.00029759336,0.00004994706,0.00008181859,0.006289231,0.00022392535,0.002566716],"genre_scores_gemma":[0.9520459,0.0047219303,0.021097448,0.00024260892,0.000018157794,0.00010798807,0.016748495,0.000050474024,0.0049670488],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998932,0.0000071867785,0.000007865449,0.000040150207,0.000025377854,0.000026169977],"domain_scores_gemma":[0.99994206,0.000009648456,0.000018195104,0.0000032187434,0.000008341686,0.000018505181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013632317,0.0004655855,0.00034469724,0.00040187602,0.00022410312,0.0002204331,0.00019347954,0.0003003863,0.0009718423],"category_scores_gemma":[0.00011799354,0.00014460347,0.00041256682,0.00035679102,0.00013223248,0.00019991738,0.0003375954,0.00037676032,0.00056994264],"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":[0.00006854949,0.000006059238,0.00060630875,0.000050796698,0.0000024275594,0.000053494343,0.000012240498,0.000025202824,0.9972886,0.000037550704,0.000026670741,0.0018221851],"study_design_scores_gemma":[0.000057705583,0.000443935,0.18544436,0.000064739455,0.00015159788,0.0021412896,0.00028984578,0.0036512972,0.7866041,0.00045736678,0.020650694,0.000043112574],"about_ca_topic_score_codex":0.0011778414,"about_ca_topic_score_gemma":0.0024139085,"teacher_disagreement_score":0.0011778414,"about_ca_system_score_codex":0.0003935722,"about_ca_system_score_gemma":0.0004065574,"threshold_uncertainty_score":0.003251195},"labels":[],"label_agreement":null},{"id":"W4417015502","doi":"10.5376/lgg.2025.16.0014","title":"CRISPR Activation System for Flowering Regulation in Mung Bean","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"CRISPR; Mung bean; Gene; Identification (biology); Genome editing; Multiplex; Crop","score_opus":0.005403062806473483,"score_gpt":0.2724163302519524,"score_spread":0.26701326744547893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015502","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":[0.6308439,0.003197095,0.31883493,0.0010961955,0.00075661374,0.00078419264,0.0055551645,0.015613329,0.023318645],"genre_scores_gemma":[0.89594907,0.00096094375,0.07632085,0.0003454067,0.000039362934,0.00035099182,0.0037192546,0.00074585265,0.021568151],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99973196,0.000030821564,0.000028069031,0.000083032726,0.00007645439,0.000049491347],"domain_scores_gemma":[0.9998876,0.000021683678,0.0000288552,0.000024961331,0.000011726441,0.000025262674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027431993,0.00038921632,0.00037368553,0.0003488937,0.00032805465,0.00040437025,0.00040826824,0.0004601789,0.0028161486],"category_scores_gemma":[0.0002124676,0.00022904477,0.00048357082,0.00019272705,0.00027494496,0.00016291792,0.00052156416,0.00088561676,0.0011727873],"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":[0.00008033926,0.000015895957,0.00012454229,0.00006589183,0.000008535411,0.000103055194,0.000040111998,0.00015408664,0.99283,0.0007229131,0.00024189732,0.0056127207],"study_design_scores_gemma":[0.00002855058,0.00017360778,0.0022441656,0.00001743462,0.000037415386,0.00050664844,0.000036007325,0.0027859022,0.953635,0.0003143472,0.040191464,0.000029464121],"about_ca_topic_score_codex":0.0010546729,"about_ca_topic_score_gemma":0.0016583037,"teacher_disagreement_score":0.0028161486,"about_ca_system_score_codex":0.0005876791,"about_ca_system_score_gemma":0.0003896514,"threshold_uncertainty_score":0.009420931},"labels":[],"label_agreement":null},{"id":"W4417015505","doi":"10.5376/lgg.2025.16.0013","title":"Analysis of NBS-LRR Gene Family in Adzuki Bean Evolution and Disease Resistance Potential","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","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":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Gene; Gene family; Jasmonic acid; Phylogenetic tree; Plant disease resistance; Vigna; Genome; R gene; Population","score_opus":0.006245611004454424,"score_gpt":0.19179210454202977,"score_spread":0.18554649353757535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015505","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":[0.99391055,0.0013017979,0.0022088455,0.00005861555,0.000008908951,0.000013105617,0.0017419907,0.0000470938,0.0007091674],"genre_scores_gemma":[0.9859136,0.0009547775,0.0041500134,0.00010148734,0.000010438819,0.000041399842,0.006754058,0.000048849743,0.0020254194],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998734,0.000007842912,0.000010143445,0.000060296014,0.00002193696,0.000026360025],"domain_scores_gemma":[0.9998914,0.000011377238,0.000037224498,0.000005590508,0.000024770909,0.000029607114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017570955,0.00021363115,0.00031988448,0.0010489918,0.0002884524,0.00022733537,0.00014859316,0.00019420315,0.00067459577],"category_scores_gemma":[0.00016785621,0.00015185641,0.00044907353,0.0008949545,0.00013685692,0.00022102006,0.00022024362,0.00029277964,0.00025842988],"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":[0.00020075374,0.000029769404,0.028511168,0.00014221433,0.000029024546,0.00022187532,0.00024236503,0.00014559933,0.9630159,0.00012160966,0.00014155211,0.007198225],"study_design_scores_gemma":[0.000020500067,0.00015562623,0.95464337,0.00002890893,0.00015875109,0.0011067798,0.00043467217,0.0027267335,0.032660607,0.00018977816,0.007842589,0.00003165685],"about_ca_topic_score_codex":0.0031349834,"about_ca_topic_score_gemma":0.0038482556,"teacher_disagreement_score":0.0031349834,"about_ca_system_score_codex":0.00028590122,"about_ca_system_score_gemma":0.00018681944,"threshold_uncertainty_score":0.0062335134},"labels":[],"label_agreement":null},{"id":"W4417015508","doi":"10.5376/lgg.2025.16.0016","title":"Chromosome-Level Assembly of Winged Bean Genome Reveals Evolutionary Insights","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Legume Nitrogen Fixing Symbiosis","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Synteny; Genome; Comparative genomics; Genomics; Reference genome; Sequence assembly; Indel; Genome evolution","score_opus":0.019085991646657252,"score_gpt":0.22427266072064597,"score_spread":0.20518666907398872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015508","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":[0.7641787,0.0020149385,0.21153416,0.0002932694,0.00009218825,0.000122876,0.012234906,0.0041647144,0.0053642145],"genre_scores_gemma":[0.7161128,0.000977869,0.24739681,0.00012871822,0.00002156123,0.00008555263,0.030094072,0.0013580387,0.0038245744],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99982315,0.000016618944,0.0000124856415,0.00008098821,0.000039649174,0.00002702501],"domain_scores_gemma":[0.99966705,0.000053163145,0.000060543298,0.00005106417,0.00011345797,0.000054742963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034009377,0.00039682136,0.00035743188,0.0010458565,0.0004387855,0.0007975438,0.00030491635,0.0003085142,0.0013630502],"category_scores_gemma":[0.00081382017,0.0002736708,0.00069338665,0.00077297306,0.00016338336,0.00036258038,0.00049350644,0.0005936541,0.0008742673],"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":[0.0003903176,0.00004387051,0.018110313,0.00029569573,0.00008916852,0.00048568513,0.00061583007,0.0054775258,0.936073,0.0014743869,0.0007779078,0.03616629],"study_design_scores_gemma":[0.00007849888,0.00063948723,0.26963484,0.00023402215,0.00052211847,0.001602759,0.0009889042,0.118726626,0.5188401,0.005679002,0.08287646,0.0001772218],"about_ca_topic_score_codex":0.0059591616,"about_ca_topic_score_gemma":0.011165952,"teacher_disagreement_score":0.0059591616,"about_ca_system_score_codex":0.00048394545,"about_ca_system_score_gemma":0.0006767994,"threshold_uncertainty_score":0.011848927},"labels":[],"label_agreement":null},{"id":"W4417015510","doi":"10.5376/lgg.2025.16.0023","title":"Role of Epigenetic Modifications in Regulating Nodule Development","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Legume Nitrogen Fixing Symbiosis","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Epigenetics; DNA methylation; Medicago truncatula; Reprogramming; Histone; Epigenomics; Chromatin; Chromatin remodeling","score_opus":0.011422692605425257,"score_gpt":0.21593200698955142,"score_spread":0.20450931438412617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015510","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":[0.9730883,0.00985024,0.012143702,0.00016487452,0.00003218801,0.000021081145,0.00035952247,0.00011176616,0.00422837],"genre_scores_gemma":[0.9944279,0.001655964,0.0022173058,0.000044632383,0.0000067486367,0.0000075365792,0.00015494917,0.0000093308545,0.0014756469],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99994075,0.00000819663,0.0000030554177,0.000022136242,0.000014345954,0.000011458533],"domain_scores_gemma":[0.9999486,0.00000891184,0.000017177003,0.000006683468,0.0000092646205,0.00000928553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011119876,0.00016253589,0.00010659818,0.0001371918,0.00014632367,0.00027399242,0.00014220427,0.0001913397,0.0005196366],"category_scores_gemma":[0.00010292766,0.00008079372,0.00013439258,0.00009404182,0.00018604705,0.00018992629,0.0002029885,0.00013984473,0.0001232819],"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":[0.000032269887,0.0000034864577,0.0013014884,0.000024414036,0.000005094204,0.000041283183,0.00002631163,0.00010315183,0.9932759,0.0002896954,0.000015575764,0.00488138],"study_design_scores_gemma":[0.000011011584,0.00025882016,0.17677833,0.000026127946,0.00005268003,0.00048965495,0.00015868354,0.0037035653,0.806291,0.0009970117,0.011206893,0.000026172285],"about_ca_topic_score_codex":0.0009204311,"about_ca_topic_score_gemma":0.002691298,"teacher_disagreement_score":0.0009204311,"about_ca_system_score_codex":0.00028213518,"about_ca_system_score_gemma":0.00015313805,"threshold_uncertainty_score":0.002047062},"labels":[],"label_agreement":null},{"id":"W4417015512","doi":"10.5376/lgg.2025.16.0030","title":"Effects of Continuous Rainy Weather on Pea Pod Set Rate and Preventive Measures","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Soybean genetics and cultivation","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Point of delivery; Sowing; Human fertilization; Pollination; Field experiment","score_opus":0.008254248452074663,"score_gpt":0.21026374427615707,"score_spread":0.2020094958240824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015512","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":[0.9991021,0.00027328345,0.00022822958,0.000013868504,0.000004848033,0.0000125936585,0.000037007478,0.000009483446,0.00031858523],"genre_scores_gemma":[0.99955696,0.00010277672,0.00016572703,0.000011872515,0.0000034102275,0.0000041580925,0.000035854217,0.0000011940194,0.00011795214],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99989426,0.000024927482,0.000009778755,0.000026573962,0.000018524885,0.000025928737],"domain_scores_gemma":[0.9996947,0.00007352217,0.000095764044,0.000030473379,0.000029691648,0.000075789634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022596937,0.00018045215,0.00015514827,0.00015781968,0.00015241449,0.00017928524,0.000121537836,0.00012818677,0.00058068254],"category_scores_gemma":[0.00034883496,0.000052079155,0.00017209223,0.0000841113,0.00013691252,0.00010356564,0.00013239284,0.00020976547,0.000040731695],"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":[0.0039731725,0.0011359454,0.34724855,0.0003559391,0.00022363593,0.0008658638,0.00067106873,0.0017515977,0.55291635,0.00015843983,0.0002598766,0.09043955],"study_design_scores_gemma":[0.000022843215,0.0026197294,0.9797196,0.0000075463236,0.000057467932,0.0001453432,0.00022244224,0.0005368939,0.016094273,0.000037344667,0.0005283172,0.0000080677755],"about_ca_topic_score_codex":0.0019248355,"about_ca_topic_score_gemma":0.0028897116,"teacher_disagreement_score":0.0019248355,"about_ca_system_score_codex":0.00020647228,"about_ca_system_score_gemma":0.00018236278,"threshold_uncertainty_score":0.0038272142},"labels":[],"label_agreement":null},{"id":"W4417015513","doi":"10.5376/lgg.2025.16.0017","title":"Integrating Transcriptome and Metabolome for Seed Quality Improvement in Common Bean","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","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":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Metabolome; Transcriptome; Metabolomics; Trait; De novo transcriptome assembly; Genomics; Quality (philosophy)","score_opus":0.01739969578504053,"score_gpt":0.25172716571338594,"score_spread":0.2343274699283454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015513","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":[0.7962696,0.0201325,0.15547298,0.0014808626,0.000123169,0.00016895635,0.019363115,0.0020753217,0.004913439],"genre_scores_gemma":[0.8520932,0.00799319,0.11460194,0.0007296792,0.00004951442,0.00013626293,0.0212966,0.0005635029,0.0025362168],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999742,0.000032808995,0.000014697641,0.00012579482,0.000056793568,0.000027940687],"domain_scores_gemma":[0.999691,0.00006376281,0.00008207289,0.000035954803,0.000086917535,0.00004033642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008688403,0.0004616107,0.00085451244,0.00077594316,0.000299217,0.0010555796,0.00029420725,0.00032763457,0.00052509585],"category_scores_gemma":[0.0005465903,0.00028174758,0.0009701822,0.0011584752,0.00021956071,0.00069838145,0.0008428026,0.0004964671,0.0002745036],"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":[0.00048794234,0.000043564753,0.021229267,0.00079027703,0.00022463068,0.00013041605,0.00022086757,0.0034771266,0.9181432,0.00082058343,0.00052667677,0.053905483],"study_design_scores_gemma":[0.0000643538,0.00092859287,0.6500643,0.0003650712,0.0014298875,0.00069487066,0.00088287395,0.055292886,0.23946974,0.009005245,0.041620612,0.00018158795],"about_ca_topic_score_codex":0.004508256,"about_ca_topic_score_gemma":0.0077051492,"teacher_disagreement_score":0.004508256,"about_ca_system_score_codex":0.00076629315,"about_ca_system_score_gemma":0.000924841,"threshold_uncertainty_score":0.008964002},"labels":[],"label_agreement":null},{"id":"W4417015514","doi":"10.5376/lgg.2025.16.0012","title":"Discussion on the Symbiotic Relationship between Legume Crops and Soil Microorganisms and Their Ecological Benefits","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Biocrusts and Microbial Ecology","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Rhizobia; Nitrogen fixation; Microbial inoculant; Symbiosis; Sustainable agriculture; Agriculture; Ecosystem; Beneficial organism; Microecology","score_opus":0.02099840645541768,"score_gpt":0.20927109594462207,"score_spread":0.1882726894892044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015514","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":[0.06394398,0.79690063,0.010024736,0.08086006,0.004270025,0.000020968246,0.0003300979,0.000051689603,0.043597817],"genre_scores_gemma":[0.47993538,0.45998234,0.004730988,0.03539433,0.0052402583,0.000034761273,0.0004047159,0.000028257993,0.014248996],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995571,0.00013944042,0.000029178671,0.000103292994,0.00009751282,0.00007351155],"domain_scores_gemma":[0.9992471,0.0004861924,0.00006963212,0.000025722815,0.000107033346,0.000064312764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013121701,0.00036524585,0.00029190278,0.0005942621,0.0009470472,0.0012482443,0.00045493085,0.001191032,0.0030391526],"category_scores_gemma":[0.00073956593,0.00007038006,0.00039182225,0.00067406584,0.001092536,0.0015147373,0.00082081906,0.0012250592,0.00026769636],"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":[0.00070710445,0.00009297647,0.01869847,0.010622757,0.0004904946,0.008835726,0.012707936,0.0017203825,0.12021639,0.22469468,0.03763165,0.56358147],"study_design_scores_gemma":[0.00001295989,0.0002050541,0.023956386,0.0018047196,0.000246573,0.004536703,0.009178942,0.0003915889,0.010873119,0.05692608,0.89178675,0.000081045604],"about_ca_topic_score_codex":0.0020606145,"about_ca_topic_score_gemma":0.0024551502,"teacher_disagreement_score":0.0030391526,"about_ca_system_score_codex":0.0008478848,"about_ca_system_score_gemma":0.0007162498,"threshold_uncertainty_score":0.010167003},"labels":[],"label_agreement":null},{"id":"W4417015515","doi":"10.5376/lgg.2025.16.0019","title":"Multi-Omics Analysis of Heat Stress Tolerance in Chickpea","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Genetic and Environmental Crop Studies","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Adaptability; Candidate gene; Transcriptome; Molecular breeding; Metabolomics; Heat shock protein; Gene; Heat stress; Genomics","score_opus":0.01167886131604718,"score_gpt":0.2172566171069382,"score_spread":0.20557775579089102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015515","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":[0.87209684,0.028312946,0.053224668,0.0011226963,0.00020926078,0.00020444854,0.03978682,0.0006562099,0.0043860204],"genre_scores_gemma":[0.82539344,0.015013442,0.09650305,0.0008469613,0.000093984156,0.0003016645,0.057853248,0.00021376633,0.0037805587],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997216,0.000034835535,0.000023031205,0.00010185547,0.0000753325,0.000043439068],"domain_scores_gemma":[0.9998178,0.000034834833,0.0000324946,0.00002293144,0.00007160886,0.000020314308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054722704,0.00064084603,0.00089795643,0.002924993,0.00078018266,0.0011961665,0.0002482585,0.0004317037,0.0007859268],"category_scores_gemma":[0.0003354037,0.0001978968,0.0013410859,0.002810538,0.00021695034,0.00056855095,0.0007142519,0.00053561304,0.00029142952],"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":[0.000615973,0.0000801945,0.024345316,0.0012253504,0.0007271644,0.0005921707,0.00043213155,0.0028110864,0.9242047,0.0008105299,0.0013032558,0.042852096],"study_design_scores_gemma":[0.00005950741,0.00038069615,0.74294174,0.00036613498,0.0018609142,0.001396713,0.0017287926,0.02977123,0.16763428,0.0057991804,0.047869872,0.00019095218],"about_ca_topic_score_codex":0.004094061,"about_ca_topic_score_gemma":0.004565513,"teacher_disagreement_score":0.004094061,"about_ca_system_score_codex":0.0005645122,"about_ca_system_score_gemma":0.00066018506,"threshold_uncertainty_score":0.008140445},"labels":[],"label_agreement":null},{"id":"W4417015517","doi":"10.5376/lgg.2025.16.0027","title":"Analysis on the Application of Intercropping in the Efficient Land Utilization of Leguminous Crops","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Agronomic Practices and Intercropping Systems","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Intercropping; Crop yield; Productivity; Crop production; Land use","score_opus":0.025716723283831316,"score_gpt":0.2602779374567405,"score_spread":0.23456121417290918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015517","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":[0.91843784,0.0043737995,0.057467658,0.00030544918,0.0000129964355,0.00015880655,0.00023468898,0.000036473364,0.018972224],"genre_scores_gemma":[0.98524654,0.0015631297,0.012275213,0.000017976923,0.0000032444195,0.000029745293,0.00013136711,0.0000059044405,0.0007268895],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.998931,0.00042729932,0.000035787947,0.00018919099,0.00025681505,0.00015979439],"domain_scores_gemma":[0.99831367,0.0008427043,0.00025918987,0.00014429943,0.000377575,0.00006257434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018738883,0.00040970003,0.00023728979,0.001565645,0.0003873413,0.0012593445,0.0005410987,0.0003758058,0.0016766256],"category_scores_gemma":[0.0024370898,0.00012647446,0.00048854377,0.0033554158,0.00046605527,0.0008480049,0.0005707415,0.00028947394,0.00021934604],"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":[0.00047016202,0.00038660833,0.24720292,0.0018910994,0.0004874898,0.0012844251,0.0018125325,0.08326296,0.054371145,0.046979222,0.00081910257,0.5610324],"study_design_scores_gemma":[0.000024797057,0.001211305,0.7537408,0.000667337,0.0007398961,0.0009297993,0.007997768,0.15000753,0.027278882,0.023871373,0.0334464,0.00008417458],"about_ca_topic_score_codex":0.009747283,"about_ca_topic_score_gemma":0.01852034,"teacher_disagreement_score":0.009747283,"about_ca_system_score_codex":0.0020627012,"about_ca_system_score_gemma":0.0016187455,"threshold_uncertainty_score":0.019381106},"labels":[],"label_agreement":null},{"id":"W4417015518","doi":"10.5376/lgg.2025.16.0020","title":"Integration of UAV and Deep Learning for Stress Detection in Pea Fields","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Smart Agriculture and AI","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Deep learning; Field (mathematics); Precision agriculture; Segmentation; Preprocessor; Object detection","score_opus":0.008435926316394175,"score_gpt":0.21341106045098476,"score_spread":0.2049751341345906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015518","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":[0.36652824,0.0022308924,0.6207897,0.00032451632,0.00018335576,0.000079744794,0.0005445479,0.0041942163,0.005124825],"genre_scores_gemma":[0.9280185,0.00047689312,0.068894796,0.00010958666,0.000024271729,0.000038737355,0.0005309253,0.00004441594,0.001861855],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990785,0.000009691506,0.000003945504,0.0000336237,0.000023825296,0.000021099186],"domain_scores_gemma":[0.99993694,0.000013548788,0.0000096513895,0.000008137196,0.000024367917,0.0000073904203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012230234,0.00061562116,0.00027227867,0.00048736238,0.00012632873,0.0003126668,0.0003344794,0.0003200376,0.0004820851],"category_scores_gemma":[0.00027593918,0.00017048366,0.00029468897,0.00028130203,0.000116657866,0.0004543512,0.0003392159,0.00028825886,0.00017429303],"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":[0.00027293593,0.00016258241,0.018877137,0.00022427172,0.0001469206,0.0005189663,0.00015259531,0.28684238,0.092552125,0.001674739,0.004144331,0.59443104],"study_design_scores_gemma":[0.000005759703,0.000082595536,0.006838158,0.000011212342,0.00002241084,0.000055786826,0.000048874954,0.98098123,0.009741466,0.00089486834,0.0013061187,0.000011512416],"about_ca_topic_score_codex":0.007177881,"about_ca_topic_score_gemma":0.009128073,"teacher_disagreement_score":0.007177881,"about_ca_system_score_codex":0.00033456364,"about_ca_system_score_gemma":0.00028715617,"threshold_uncertainty_score":0.014272213},"labels":[],"label_agreement":null},{"id":"W4417015519","doi":"10.5376/lgg.2025.16.0024","title":"Molecular Dissection of Cold Response Pathways in Adzuki Bean","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","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":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vigna; Gene; Signal transduction; Gene expression; Epigenetics; DNA methylation","score_opus":0.00889254249987218,"score_gpt":0.19777846901313184,"score_spread":0.18888592651325967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015519","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":[0.97676325,0.003840614,0.015587872,0.00022655712,0.000048615217,0.00006354761,0.0018114747,0.0001441023,0.0015138158],"genre_scores_gemma":[0.97756314,0.0027374823,0.0108714225,0.00025430133,0.000021487114,0.000093139606,0.0037185403,0.00005685057,0.0046836315],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999275,0.000004960989,0.0000064334076,0.00003244593,0.000010326443,0.000018230672],"domain_scores_gemma":[0.99993753,0.000007470634,0.000022506261,0.0000054803304,0.000010241232,0.000016713435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000098690136,0.0002945592,0.00022791201,0.00028098517,0.00022245878,0.00020799015,0.0002063113,0.00023834074,0.00070622895],"category_scores_gemma":[0.00006863689,0.00020847621,0.0004015193,0.00021898036,0.00017254194,0.00028229933,0.00020365462,0.00046575707,0.00026372116],"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":[0.000042955602,0.0000044234725,0.0003131117,0.000042000414,0.0000027296287,0.000029351759,0.000013773264,0.000020595488,0.9989479,0.000056108187,0.000011976625,0.00051501935],"study_design_scores_gemma":[0.0001003544,0.000486157,0.19989075,0.000048927675,0.00023090196,0.0012665356,0.00046355327,0.005765755,0.7721639,0.0005558972,0.01896959,0.000057814417],"about_ca_topic_score_codex":0.0018523232,"about_ca_topic_score_gemma":0.0033593618,"teacher_disagreement_score":0.0018523232,"about_ca_system_score_codex":0.00032312455,"about_ca_system_score_gemma":0.00019246335,"threshold_uncertainty_score":0.0036830902},"labels":[],"label_agreement":null},{"id":"W4417015520","doi":"10.5376/lgg.2025.16.0028","title":"Effects of Different Sowing Densities on Soybean Yield and Quality","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Soybean genetics and cultivation","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sowing; Adaptability; Yield (engineering); Agriculture; Quality (philosophy); Canopy; Leaf area index","score_opus":0.020178208880865234,"score_gpt":0.23349018012428852,"score_spread":0.21331197124342327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015520","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":[0.9989398,0.0001495316,0.0005139331,0.000017549391,0.000008695154,0.000008567716,0.00007940154,0.0000151549175,0.00026738032],"genre_scores_gemma":[0.9985676,0.000105714236,0.0006927605,0.000044997454,0.0000044268013,0.000017077185,0.0001627503,0.000015414553,0.00038929834],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996575,0.00008521939,0.000038793187,0.000105456646,0.00006808572,0.000044945686],"domain_scores_gemma":[0.9990878,0.00035906082,0.00018926454,0.00006970779,0.000090061076,0.00020412705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003593997,0.00026334426,0.00026200915,0.00024404985,0.00014924309,0.00033225722,0.0002106622,0.00015529065,0.0006565205],"category_scores_gemma":[0.0007217488,0.00018742123,0.00023250763,0.00016424779,0.00026426784,0.00028278583,0.00035095698,0.00049949076,0.00008499337],"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":[0.0019658555,0.00030971773,0.04259666,0.00012776599,0.00008727013,0.00019591804,0.00023670298,0.00090416416,0.9403498,0.00011491272,0.000103448234,0.013007652],"study_design_scores_gemma":[0.000084986576,0.0029719379,0.8008,0.000019055922,0.00022842424,0.00018630238,0.00064828584,0.006571373,0.18665087,0.00020382629,0.0015723933,0.00006250092],"about_ca_topic_score_codex":0.0028732999,"about_ca_topic_score_gemma":0.005594804,"teacher_disagreement_score":0.0028732999,"about_ca_system_score_codex":0.00064273237,"about_ca_system_score_gemma":0.00020444549,"threshold_uncertainty_score":0.005713165},"labels":[],"label_agreement":null},{"id":"W4417015522","doi":"10.5376/lgg.2025.16.0021","title":"Expansin Gene Family in Legumes: Structural Diversity and Expression Dynamics","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Legume Nitrogen Fixing Symbiosis","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Expansin; Gene family; Gene; Gene duplication; Abiotic stress; Gene expression; Regulation of gene expression; Phylogenetic tree; Functional divergence","score_opus":0.0110012416223429,"score_gpt":0.21075394310380838,"score_spread":0.19975270148146548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015522","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":[0.9652196,0.023990877,0.006096379,0.0001542103,0.000013665995,0.00001562244,0.0016081607,0.00009216646,0.0028092663],"genre_scores_gemma":[0.98316646,0.008174142,0.0043972433,0.00008449339,0.000021797556,0.00001782128,0.0025751786,0.000014068138,0.0015488612],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99994266,0.0000043464483,0.00000384124,0.000027226668,0.000012242901,0.00000970357],"domain_scores_gemma":[0.999941,0.00000771376,0.000020891766,0.0000040913123,0.000012340786,0.000013934247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000091618764,0.00024368342,0.0001706751,0.00072691485,0.0001846486,0.0003026769,0.000082491024,0.00013319717,0.00042547172],"category_scores_gemma":[0.00010635045,0.00007780282,0.00012267762,0.00072288356,0.00013596631,0.0002460639,0.0002053103,0.0001539788,0.00019938397],"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":[0.00010451966,0.000011802761,0.016836187,0.00014951946,0.000020284064,0.00019239551,0.00015878619,0.00021267463,0.9455976,0.00037600377,0.00013555227,0.036204647],"study_design_scores_gemma":[0.000013210895,0.00021045831,0.8339041,0.00007872912,0.00015181168,0.005148596,0.00044182118,0.0031540373,0.1252816,0.0015148665,0.030059807,0.000041047108],"about_ca_topic_score_codex":0.0015392555,"about_ca_topic_score_gemma":0.0016059697,"teacher_disagreement_score":0.0015392555,"about_ca_system_score_codex":0.00019862878,"about_ca_system_score_gemma":0.00013726247,"threshold_uncertainty_score":0.0030605197},"labels":[],"label_agreement":null},{"id":"W4417015526","doi":"10.5376/lgg.2025.16.0015","title":"Application of Single-Cell RNA-Seq in Legume Root Development Studies","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Legume Nitrogen Fixing Symbiosis","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Legume; Root (linguistics); Adaptation (eye); Agriculture; Plant development; Arabidopsis; Plant tissue; Research development","score_opus":0.020132631011143973,"score_gpt":0.23626947381323882,"score_spread":0.21613684280209483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015526","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":[0.45325834,0.016845701,0.49899986,0.0009597,0.0005591296,0.00047409383,0.013847509,0.0030667083,0.01198897],"genre_scores_gemma":[0.5670812,0.0065297037,0.4086661,0.0011527771,0.00007596608,0.00063928246,0.009878599,0.0006361448,0.0053401515],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999506,0.00008532455,0.000027356205,0.00019053512,0.00013754533,0.000053211992],"domain_scores_gemma":[0.999551,0.00014495426,0.000057160327,0.00006441189,0.00013495421,0.000047395533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008207189,0.00041079175,0.00055531634,0.00064074335,0.0006907435,0.00090378814,0.00049466145,0.0006493973,0.0009432498],"category_scores_gemma":[0.00045918813,0.00030207928,0.00052962935,0.0005146553,0.000316823,0.00048058692,0.00065443583,0.00085227104,0.00069865305],"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":[0.00003208591,0.000010405511,0.00091152557,0.00017681316,0.000017956356,0.00005835708,0.00006489065,0.00036406246,0.988908,0.0003908566,0.00025262544,0.008812397],"study_design_scores_gemma":[0.000018697472,0.00021046777,0.03577243,0.000083509694,0.00011927728,0.0005910742,0.00031627103,0.015123412,0.8916103,0.0019033555,0.054162793,0.00008841309],"about_ca_topic_score_codex":0.002452558,"about_ca_topic_score_gemma":0.009804228,"teacher_disagreement_score":0.002452558,"about_ca_system_score_codex":0.00072941784,"about_ca_system_score_gemma":0.00063492404,"threshold_uncertainty_score":0.0052922964},"labels":[],"label_agreement":null},{"id":"W4417015527","doi":"10.5376/lgg.2025.16.0022","title":"Gene Editing-Assisted Development of Herbicide-Resistant Lentils","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Genetically Modified Organisms Research","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":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Genome editing; Acetolactate synthase; Biosafety; Resistance (ecology); Gene; Genetically modified organism","score_opus":0.025108979241559876,"score_gpt":0.252382348616529,"score_spread":0.2272733693749691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015527","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":[0.76443964,0.006894951,0.19728549,0.0005825069,0.00034085088,0.0007634952,0.00208917,0.003176707,0.02442718],"genre_scores_gemma":[0.90065444,0.0045146453,0.07750578,0.000266514,0.000038132646,0.00024135788,0.0018677561,0.0005123064,0.014399128],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99976546,0.000033661097,0.000024190258,0.000046026733,0.00010001409,0.00003066632],"domain_scores_gemma":[0.99982685,0.00003523136,0.000051525843,0.000024772804,0.000033256547,0.000028487937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005089207,0.0004280746,0.00026589417,0.00048414158,0.00022538497,0.0007017857,0.00048227658,0.00033713886,0.0010583295],"category_scores_gemma":[0.00034328495,0.00017754137,0.00034955857,0.00021205675,0.00025478698,0.00035700688,0.0004466301,0.0007001808,0.0004699624],"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":[0.000023746634,0.000025015037,0.0002282456,0.0000763568,0.000014252336,0.00019387972,0.000041960237,0.00040193088,0.9869459,0.0010233014,0.00017939035,0.010846097],"study_design_scores_gemma":[0.000018445331,0.00020636986,0.00143226,0.000020061036,0.000036390647,0.00043957777,0.000028463199,0.0038966066,0.9694379,0.00027237317,0.024189139,0.000022357432],"about_ca_topic_score_codex":0.0008174372,"about_ca_topic_score_gemma":0.0013243356,"teacher_disagreement_score":0.0010583295,"about_ca_system_score_codex":0.00049398246,"about_ca_system_score_gemma":0.00029656975,"threshold_uncertainty_score":0.0035841465},"labels":[],"label_agreement":null},{"id":"W4417015528","doi":"10.5376/lgg.2025.16.0026","title":"Study on Optimizing Density Planting and Fertilization Strategies to Increase Bean Yield","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Agronomic Practices and Intercropping Systems","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sowing; Human fertilization; Agriculture; Fertilizer; Biomass (ecology); Legume; Phosphorus; Yield (engineering)","score_opus":0.03309385259770603,"score_gpt":0.2608944649534454,"score_spread":0.2278006123557394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015528","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":[0.9774284,0.0015839245,0.019162958,0.00010572399,0.00001654658,0.000079890175,0.000107780324,0.00007148358,0.0014433211],"genre_scores_gemma":[0.98226756,0.0009554134,0.016016169,0.00004488505,0.000003897861,0.000028788441,0.00008563984,0.000010044622,0.00058774615],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998629,0.000025409949,0.000007996312,0.00005236106,0.000031992262,0.000019388752],"domain_scores_gemma":[0.99987364,0.000029139963,0.000039510527,0.000013279949,0.000026751224,0.00001776994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027698668,0.00032939628,0.00027724213,0.00018857417,0.00018366038,0.0003077909,0.00034247493,0.0001507155,0.00047838205],"category_scores_gemma":[0.00024025816,0.00010068077,0.00021741919,0.0002696236,0.0001292927,0.0004824184,0.0002015394,0.00020159957,0.000075752905],"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":[0.00037926013,0.00067401683,0.02969725,0.00076738425,0.00012973021,0.00015730356,0.00016688155,0.025162827,0.8268142,0.002121404,0.00029239588,0.11363737],"study_design_scores_gemma":[0.00028554263,0.009643343,0.30561554,0.00013136983,0.0007748671,0.00045088565,0.0013839019,0.15754858,0.49783644,0.003948322,0.022242835,0.00013839421],"about_ca_topic_score_codex":0.006228342,"about_ca_topic_score_gemma":0.012021313,"teacher_disagreement_score":0.006228342,"about_ca_system_score_codex":0.00080045493,"about_ca_system_score_gemma":0.00063375355,"threshold_uncertainty_score":0.012384176},"labels":[],"label_agreement":null},{"id":"W4417015529","doi":"10.5376/lgg.2025.16.0025","title":"Comparative Analysis of Anti-Nutritional Factors in Edible Legumes","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Proteins in Food Systems","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Phytic acid; Nutrient; Food products; Functional food; Legume; Essential nutrient","score_opus":0.03359476491169153,"score_gpt":0.27201195880613727,"score_spread":0.23841719389444574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015529","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":[0.9669899,0.025723133,0.0032871363,0.000073477335,0.000017697837,0.000023840315,0.0011325838,0.000027105352,0.0027251123],"genre_scores_gemma":[0.9766872,0.013561807,0.0053126244,0.00013162266,0.00001834577,0.000022753298,0.002333371,0.000021889751,0.0019103356],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99985003,0.000015275265,0.000018444316,0.00004777995,0.00003782511,0.00003061509],"domain_scores_gemma":[0.9998516,0.000024813662,0.00004656095,0.000007276186,0.00004406999,0.000025590738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018767676,0.0002943683,0.00031525173,0.0022333495,0.0002272164,0.00043472272,0.00015654246,0.00021749237,0.00029479322],"category_scores_gemma":[0.00015462279,0.00011291188,0.0004427934,0.0015153555,0.00015705512,0.00045280292,0.0002031252,0.00020952239,0.0000837505],"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":[0.00037312906,0.00002757003,0.009286544,0.00051769294,0.00008393199,0.00028751954,0.00019174113,0.000087511486,0.97040975,0.00028251586,0.000052086725,0.01840011],"study_design_scores_gemma":[0.00003004317,0.0010191514,0.55689657,0.00013044421,0.000902233,0.0026841986,0.0009086578,0.0012697746,0.40217835,0.0005915684,0.033323675,0.00006535632],"about_ca_topic_score_codex":0.0019125649,"about_ca_topic_score_gemma":0.0022246619,"teacher_disagreement_score":0.0022333495,"about_ca_system_score_codex":0.0003172401,"about_ca_system_score_gemma":0.00023162346,"threshold_uncertainty_score":0.0038028955},"labels":[],"label_agreement":null},{"id":"W4417015531","doi":"10.5376/lgg.2025.16.0029","title":"Study on the Effect of Film Mulching on Broad Bean Germination and Moisture Conservation","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Irrigation Practices and Water Management","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mulch; Germination; Moisture; Water content; Seedling; Water-use efficiency; Irrigation; Legume; Weed control","score_opus":0.014184740231177061,"score_gpt":0.24757418298789727,"score_spread":0.23338944275672022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417015531","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":[0.9978886,0.0009860172,0.00065668876,0.000024494311,0.000020072179,0.00002163154,0.000074182375,0.000017140146,0.00031112766],"genre_scores_gemma":[0.996691,0.0005173222,0.0020163876,0.00004859494,0.000008745675,0.00002614325,0.000099623845,0.000014565543,0.000577502],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998745,0.000017208718,0.000008399611,0.00004843166,0.00002736963,0.000024085068],"domain_scores_gemma":[0.9997274,0.000072497976,0.00007452809,0.000025419884,0.000047952068,0.00005227828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014667485,0.0003461396,0.00031430522,0.00015375463,0.00025802045,0.00028287803,0.00018434794,0.00018875425,0.00092588185],"category_scores_gemma":[0.0002730838,0.000101384845,0.00030367845,0.00014349994,0.00015106527,0.000322909,0.00017466453,0.0004958277,0.00008808207],"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":[0.0005954196,0.00044585214,0.0021073304,0.00022484694,0.000028349208,0.0000542911,0.000056625548,0.00016281033,0.9891782,0.000029537185,0.000048981405,0.007067793],"study_design_scores_gemma":[0.0000750234,0.009512293,0.10064883,0.000053643707,0.0002604803,0.00018081079,0.00032098423,0.0027013682,0.8816665,0.0000850227,0.004461032,0.00003397467],"about_ca_topic_score_codex":0.0013238941,"about_ca_topic_score_gemma":0.0032387685,"teacher_disagreement_score":0.0013238941,"about_ca_system_score_codex":0.00026809634,"about_ca_system_score_gemma":0.0001908268,"threshold_uncertainty_score":0.0030973554},"labels":[],"label_agreement":null}]}