{"meta":{"query_hash":"10624415d0eb","filters":{"venue":"Tree Genetics and Molecular Breeding"},"cohort_total":46,"direct_labels_cover":0,"predictions_cover":46,"exported":46,"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/10624415d0eb","api":"https://metacan.xera.ac/api/v1/cohort?venue=Tree+Genetics+and+Molecular+Breeding"},"results":[{"id":"W2104079518","doi":"10.5376/tgmb.2013.03.0002","title":"Clonal Seed Orchard of Teak (&lt;i&gt;Tectona grandis&lt;/i&gt; L.f.): Genetic Diversity Measures Primary Basis for Future Environmental Uncertainty","year":2013,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"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":"Tectona; Seed orchard; Genetic diversity; Forestry; Biology; Botany; Agroforestry; Environmental science; Mathematics; Horticulture; Geography; Sociology; Demography","score_opus":0.007592973362053419,"score_gpt":0.1846510494358159,"score_spread":0.17705807607376248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104079518","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":[0.99915636,0.000031747742,0.00025748962,0.000014598982,9.0175627e-7,0.0000037414848,0.00008686301,0.000005808264,0.0004424647],"genre_scores_gemma":[0.9982455,0.000028718989,0.00086506596,0.000015727812,0.000001235136,0.0000034006414,0.00019972761,0.0000072539888,0.0006334269],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999907,0.000012514477,0.0000066239313,0.000040212573,0.000018078634,0.00001544452],"domain_scores_gemma":[0.9998337,0.00003544976,0.000051573243,0.000017686694,0.000020173464,0.00004137795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017532763,0.00007854688,0.00021341535,0.0002653985,0.00046475942,0.00039177708,0.0002448019,0.00012435763,0.0011085412],"category_scores_gemma":[0.000148961,0.00008201539,0.00012790729,0.00037684117,0.00017462224,0.00027451172,0.0002701825,0.00017758859,0.00011965789],"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":[0.00055147766,0.0001301226,0.39257184,0.000098254015,0.000067610825,0.0013472507,0.00088020676,0.0006251817,0.57844025,0.0011605489,0.00025384512,0.023873387],"study_design_scores_gemma":[0.000009486148,0.000104498045,0.9876088,0.0000065438594,0.000030637257,0.00074753177,0.0005289296,0.000833835,0.0086870445,0.00020218102,0.0012254798,0.0000149824145],"about_ca_topic_score_codex":0.005775598,"about_ca_topic_score_gemma":0.030765064,"teacher_disagreement_score":0.005775598,"about_ca_system_score_codex":0.00052538776,"about_ca_system_score_gemma":0.00027260778,"threshold_uncertainty_score":0.011483967},"labels":[],"label_agreement":null},{"id":"W2787965887","doi":"10.5376/tgmb.2017.07.0001","title":"The Degree of Purification of mRNA Influences the Fragmentation for Construction Transcriptome Libraries of &lt;i&gt;Populus&lt;/i&gt;","year":2017,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Molecular Biology Techniques and Applications","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":"Fragmentation (computing); Transcriptome; Messenger RNA; Computational biology; Degree (music); Cell biology; Biology; Chemistry; Gene expression; Genetics; Physics; Gene; Ecology","score_opus":0.02686268872743306,"score_gpt":0.2728402900173835,"score_spread":0.24597760128995047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787965887","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":[0.41934997,0.0054904413,0.5417634,0.0011833335,0.0010226038,0.0014679198,0.0081187235,0.0075277495,0.014075864],"genre_scores_gemma":[0.45880985,0.005998946,0.49072763,0.0016101197,0.0002555925,0.0026567737,0.020913681,0.0049136044,0.014113854],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981749,0.0002600047,0.0001887617,0.00062222703,0.00047706754,0.00027707568],"domain_scores_gemma":[0.9987721,0.00049433106,0.00018663591,0.00023659796,0.00021710248,0.000093244154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019569919,0.0010748407,0.00096322235,0.00074524456,0.0006866378,0.0015843412,0.00084061973,0.000710942,0.004205901],"category_scores_gemma":[0.0028241782,0.00071194407,0.0006115262,0.00095344585,0.0008650042,0.0009586867,0.0009317124,0.0017661453,0.0037091714],"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":[0.00004971758,0.000023384016,0.00039517833,0.00016439466,0.000008798081,0.00003675943,0.0000502962,0.0001331763,0.9937967,0.00028850208,0.00027766888,0.004775394],"study_design_scores_gemma":[0.000006933679,0.00009943907,0.0025581652,0.0000341829,0.000047026057,0.00014680483,0.000042058517,0.0013303843,0.98096496,0.00039328408,0.014355063,0.000021823376],"about_ca_topic_score_codex":0.00064599083,"about_ca_topic_score_gemma":0.001534766,"teacher_disagreement_score":0.004205901,"about_ca_system_score_codex":0.0005431903,"about_ca_system_score_gemma":0.0010875791,"threshold_uncertainty_score":0.014070153},"labels":[],"label_agreement":null},{"id":"W3080755424","doi":"10.5376/tgmb.2020.10.0004","title":"Quantitative Trait Locus Locating Analysis of Bud Set time in an F1 Hybrid Population of &lt;i&gt;Populus deltoides&lt;/i&gt; and &lt;i&gt;Populus simonii&lt;/i&gt;","year":2020,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","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":"Priority Academic Program Development of Jiangsu Higher Education Institutions; National Natural Science Foundation of China","keywords":"Quantitative trait locus; Biology; Candidate gene; Population; Locus (genetics); Genetic linkage; Trait; Genetics; Gene","score_opus":0.025469022688606447,"score_gpt":0.24089372596991349,"score_spread":0.21542470328130703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080755424","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":[0.9935567,0.00009878065,0.004072734,0.000029174955,0.00001582827,0.000044192104,0.001505756,0.000098845485,0.0005780518],"genre_scores_gemma":[0.98223186,0.00014716553,0.0074354387,0.000081056256,0.000010614507,0.0001706504,0.0054853857,0.00021016656,0.0042276415],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996376,0.00003930797,0.000022746586,0.00018417789,0.000065373955,0.000050738647],"domain_scores_gemma":[0.9996828,0.000111664296,0.000054991742,0.000022030445,0.000025071844,0.00010363438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034719188,0.00053996063,0.00048771044,0.0013047004,0.00045668514,0.00027883612,0.0004360282,0.00032660546,0.0015649921],"category_scores_gemma":[0.00020230566,0.00025622718,0.00077972375,0.0006481669,0.00032844648,0.00009807377,0.00037331876,0.0007204308,0.00031450304],"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":[0.000108751476,0.00003895608,0.0009358099,0.00001714621,0.000022980823,0.00011170437,0.00008323361,0.00006609535,0.9976363,0.000048528575,0.000018340299,0.0009121794],"study_design_scores_gemma":[0.00019652123,0.0010713607,0.47353852,0.000019050805,0.00062611006,0.0015500651,0.00043225044,0.0059025087,0.51124436,0.00016915535,0.005095032,0.00015513643],"about_ca_topic_score_codex":0.003457001,"about_ca_topic_score_gemma":0.0044078906,"teacher_disagreement_score":0.003457001,"about_ca_system_score_codex":0.0005189874,"about_ca_system_score_gemma":0.00027712484,"threshold_uncertainty_score":0.0068737864},"labels":[],"label_agreement":null},{"id":"W3081739484","doi":"10.5376/tgmb.2020.10.0005","title":"Characterization of Genomic Microsatellite Markers and Analysis of Pollen Donors Number for Single Cone of Chinese fir","year":2020,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Forest ecology and management","field":"Environmental Science","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":"Chinese Academy of Forestry","keywords":"Biology; Microsatellite; Cunninghamia; Loss of heterozygosity; Pollen; Genome; Allele; Genetics; Botany; Gene","score_opus":0.00760856146846785,"score_gpt":0.20430125361679222,"score_spread":0.19669269214832436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081739484","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":[0.9990575,0.000047548245,0.0005028273,0.0000043655004,0.0000015101175,0.0000050635526,0.00019433298,0.0000053153703,0.00018151075],"genre_scores_gemma":[0.9958555,0.00006362402,0.0021872232,0.000012328201,0.0000030919005,0.000014078481,0.0012237192,0.0000055872515,0.000634934],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990106,0.000005422642,0.00000811061,0.00004144448,0.000029663017,0.000014324223],"domain_scores_gemma":[0.999795,0.000035091412,0.00006143038,0.000016255803,0.000040498584,0.000051796305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001591436,0.00014236098,0.00015712042,0.0005104544,0.00020846725,0.00014950773,0.00017041297,0.00018617853,0.0004205586],"category_scores_gemma":[0.00022704508,0.000084611755,0.00014016916,0.00027516368,0.00011258557,0.00008155175,0.00009481629,0.0001625703,0.00012216387],"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":[0.00012650654,0.00005623328,0.09066677,0.000053722535,0.000016779935,0.0003152472,0.00035493224,0.00020788594,0.8971523,0.00012226088,0.000059857677,0.010867485],"study_design_scores_gemma":[0.000022278648,0.00020108059,0.9458477,0.000013216466,0.000042630494,0.0010399488,0.00020068289,0.0018062666,0.04907986,0.00008598613,0.001642828,0.00001744512],"about_ca_topic_score_codex":0.0026737384,"about_ca_topic_score_gemma":0.007893773,"teacher_disagreement_score":0.0026737384,"about_ca_system_score_codex":0.0001794561,"about_ca_system_score_gemma":0.0002553536,"threshold_uncertainty_score":0.0053163767},"labels":[],"label_agreement":null},{"id":"W3113692228","doi":"10.5376/tgmb.2020.10.0006","title":"A Preliminary Study on Somatic Cell Embryogenesis of &lt;i&gt;Quercus mongolica&lt;/i&gt;","year":2020,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Plant tissue culture and regeneration","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":"Somatic embryogenesis; Callus; Explant culture; Somatic cell; Botany; Embryogenesis; Biology; Embryo; Horticulture; Cell biology; In vitro; Biochemistry","score_opus":0.015890487503153493,"score_gpt":0.2269823391276973,"score_spread":0.2110918516245438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113692228","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":[0.9849186,0.0015898537,0.0076714815,0.0000946236,0.000028158542,0.00008414489,0.00044241326,0.000044444798,0.0051262164],"genre_scores_gemma":[0.96550226,0.0024468706,0.01259839,0.00013432899,0.000019026735,0.0000489582,0.0015145513,0.000036771868,0.0176989],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999472,0.0000067176265,0.000004943131,0.00001459238,0.0000137799425,0.000012722529],"domain_scores_gemma":[0.99991536,0.000016504117,0.000009910439,0.000009840257,0.000022730414,0.00002556734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017805792,0.00024102611,0.00018005563,0.00022715097,0.0003185612,0.00013861194,0.0001475907,0.0001824635,0.0008008154],"category_scores_gemma":[0.00007461476,0.0000676677,0.0001908099,0.00018627141,0.00013301251,0.0001816587,0.000102400474,0.00026379456,0.00024472043],"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":[0.000013558836,0.000009948345,0.000366669,0.00003280017,0.0000017512543,0.00011814048,0.00003678637,0.00002955752,0.99815565,0.000056167934,0.000012989871,0.0011659658],"study_design_scores_gemma":[0.000013215841,0.0010991016,0.049695056,0.000026362315,0.00006825707,0.0017279994,0.00023204579,0.0008014888,0.93063724,0.00013613015,0.015544279,0.00001884903],"about_ca_topic_score_codex":0.004189477,"about_ca_topic_score_gemma":0.006118166,"teacher_disagreement_score":0.004189477,"about_ca_system_score_codex":0.00017696469,"about_ca_system_score_gemma":0.00032033247,"threshold_uncertainty_score":0.008330226},"labels":[],"label_agreement":null},{"id":"W3198374579","doi":"10.5376/tgmb.2021.11.0001","title":"Analysis of Codon Usage Bias in the &lt;i&gt;Platycarya&lt;/i&gt; Chloroplast Genome","year":2021,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","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":"National Natural Science Foundation of China","keywords":"Codon usage bias; Genome; GC-content; Biology; Gene; Genetics; Phylogenetic tree","score_opus":0.021671027230442792,"score_gpt":0.23652573005279456,"score_spread":0.21485470282235178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198374579","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":[0.99077857,0.00034698276,0.006501235,0.00003101283,0.000012567894,0.000021312428,0.001205637,0.00010365825,0.0009990368],"genre_scores_gemma":[0.98166406,0.00023448316,0.013668792,0.000035652316,0.000007416233,0.0000660053,0.0034162663,0.00010854966,0.0007987857],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996201,0.000051600986,0.000046742927,0.00015220697,0.00009566452,0.000033739117],"domain_scores_gemma":[0.99959654,0.0001192742,0.00016112626,0.000024956065,0.00005919905,0.00003886866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003670893,0.00026720727,0.00032692758,0.0016210582,0.00033401162,0.0003657021,0.00012628947,0.00011561466,0.0010778301],"category_scores_gemma":[0.00069914927,0.00011969703,0.00036429788,0.0018866927,0.00021899017,0.00023376799,0.00017039347,0.000354859,0.00023025674],"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":[0.000707785,0.00007819399,0.1171248,0.00028977354,0.00018973154,0.00041625043,0.00050087454,0.00092470023,0.83920807,0.00065552274,0.00047087332,0.039433356],"study_design_scores_gemma":[0.000032132702,0.00030720345,0.8274479,0.000038420963,0.00028159996,0.0013664358,0.0004027439,0.02058692,0.14113058,0.0009008278,0.007442976,0.000062311],"about_ca_topic_score_codex":0.0010774707,"about_ca_topic_score_gemma":0.0015526629,"teacher_disagreement_score":0.0016210582,"about_ca_system_score_codex":0.00031364337,"about_ca_system_score_gemma":0.0002760047,"threshold_uncertainty_score":0.0036057234},"labels":[],"label_agreement":null},{"id":"W3215743235","doi":"10.5376/tgmb.2021.11.0002","title":"Cloning and Sequence Analysis of &lt;i&gt;GBM5&lt;/i&gt; Gene from &lt;i&gt;Ginkgo biloba&lt;/i&gt;","year":2021,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Ginkgo biloba and Cashew Applications","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":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Ginkgo biloba; Primordium; Gene; Biology; Ginkgo; Cloning (programming); Sequence analysis; Gene family; Gene expression; Botany; Molecular biology; Genetics","score_opus":0.020399969144904204,"score_gpt":0.26149920066218757,"score_spread":0.24109923151728335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215743235","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":[0.69376814,0.008407212,0.17078252,0.0017768652,0.0010020981,0.0024663485,0.101455495,0.0020323996,0.018309016],"genre_scores_gemma":[0.4666171,0.0054806937,0.19578958,0.0013100783,0.00021066837,0.0016875607,0.29778424,0.0012472336,0.02987273],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997073,0.000028023831,0.000033263954,0.00010385103,0.00007905815,0.0000485031],"domain_scores_gemma":[0.99977225,0.00003836158,0.000056986322,0.000024295108,0.000047650603,0.00006047707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002918218,0.0010551071,0.00097142527,0.0008184458,0.00049538247,0.0004070536,0.00076673285,0.0005274422,0.0039472585],"category_scores_gemma":[0.00030789213,0.00038931446,0.0014766846,0.00145581,0.00048142963,0.000399428,0.00038209895,0.0011386772,0.0050401604],"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":[0.00022484545,0.00006587096,0.00033666115,0.00034968616,0.000017912527,0.00035186994,0.000110040965,0.00024106573,0.99046105,0.0004898792,0.0007549238,0.0065962058],"study_design_scores_gemma":[0.0003718481,0.00094190694,0.057214413,0.00039216864,0.0004257535,0.002764644,0.0004147787,0.0070045125,0.74824727,0.0010366832,0.18097974,0.00020631471],"about_ca_topic_score_codex":0.0040632044,"about_ca_topic_score_gemma":0.0053857425,"teacher_disagreement_score":0.0040632044,"about_ca_system_score_codex":0.0008033254,"about_ca_system_score_gemma":0.0009136848,"threshold_uncertainty_score":0.013204873},"labels":[],"label_agreement":null},{"id":"W4285249179","doi":"10.5376/tgmb.2022.12.0006","title":"Genomic Sequence Analysis of Culm Shape Variants of Moso Bamboo Based on Re-sequencing","year":2022,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Bamboo properties and applications","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":"National Forestry and Grassland Administration","keywords":"Phyllostachys edulis; KEGG; Biology; Indel; Gene; Genetics; Phyllostachys; Genome; Mutant; DNA sequencing; Bamboo; Computational biology; Single-nucleotide polymorphism; Transcriptome; Botany; Genotype","score_opus":0.04718169514772731,"score_gpt":0.2321857596732997,"score_spread":0.1850040645255724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285249179","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":[0.95188624,0.0016330887,0.012087739,0.00014983327,0.00007478853,0.00022669135,0.031016063,0.00022454959,0.002701053],"genre_scores_gemma":[0.8320761,0.0015841476,0.02943141,0.00024152047,0.00005132953,0.00030826224,0.12908916,0.00024681684,0.006971393],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998367,0.000011696704,0.000013069378,0.000066373796,0.00004878617,0.000023307173],"domain_scores_gemma":[0.9997557,0.00004312638,0.00006509133,0.000027258751,0.00005877534,0.000050090155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016146387,0.00052771805,0.0005264846,0.0010497306,0.00031877204,0.0003292707,0.0002806144,0.00031784558,0.0017327896],"category_scores_gemma":[0.00034433167,0.00016670222,0.00079413387,0.0012628135,0.00017623726,0.00015558989,0.00019980474,0.0004694609,0.00092369836],"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":[0.0003335789,0.00003630541,0.003927006,0.0002626113,0.00003688572,0.0005985905,0.00024992487,0.00018205514,0.9861422,0.00009173639,0.0002297476,0.007909289],"study_design_scores_gemma":[0.00009941182,0.0004610113,0.7275158,0.00013841628,0.0005537285,0.0029366775,0.0006809087,0.0038158253,0.22879449,0.00019967691,0.034716647,0.000087324195],"about_ca_topic_score_codex":0.002967193,"about_ca_topic_score_gemma":0.0046534375,"teacher_disagreement_score":0.002967193,"about_ca_system_score_codex":0.00035594555,"about_ca_system_score_gemma":0.00025649017,"threshold_uncertainty_score":0.005899787},"labels":[],"label_agreement":null},{"id":"W4288472763","doi":"10.5376/tgmb.2022.12.0008","title":"Agronomic Traits and Quality Screening of Superior &lt;i&gt;Camellia oleifera&lt;/i&gt; in Tropical Areas","year":2022,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Horticultural and Viticultural Research","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":"Hainan University","keywords":"Camellia oleifera; Camellia; Biology; Horticulture; Breed; Yield (engineering); Botany; Animal science","score_opus":0.04095076861774844,"score_gpt":0.2661945004462286,"score_spread":0.22524373182848018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288472763","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":[0.9993537,0.00006568462,0.00019055551,0.000008627245,0.0000013311625,0.0000036238168,0.00017146244,0.0000044294197,0.0002006391],"genre_scores_gemma":[0.998166,0.000072313815,0.0007113315,0.000025143003,0.000003403083,0.000005750981,0.00061105663,0.000007462436,0.0003975755],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999105,0.000011856005,0.00001064698,0.000035367753,0.000015295504,0.000016480852],"domain_scores_gemma":[0.99983525,0.000014473224,0.000062224026,0.000011785762,0.00002998544,0.00004618904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021383738,0.00016771366,0.00021338543,0.00072548987,0.00024510434,0.00026795323,0.00010534004,0.00010430937,0.0006550911],"category_scores_gemma":[0.00013724402,0.00007173641,0.00033904973,0.00043418907,0.000107323765,0.00019496365,0.0001705822,0.00013141331,0.00012604368],"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":[0.0004006254,0.0000722886,0.14132056,0.000089870984,0.000074342766,0.00049370294,0.00045563927,0.00012391519,0.8472846,0.0000727227,0.00013020812,0.009481533],"study_design_scores_gemma":[0.000010234611,0.00025410665,0.9764191,0.0000052249657,0.00006512035,0.0005148785,0.00043759096,0.00030184662,0.021066882,0.00003127326,0.0008837271,0.000010140429],"about_ca_topic_score_codex":0.002569356,"about_ca_topic_score_gemma":0.005204463,"teacher_disagreement_score":0.002569356,"about_ca_system_score_codex":0.00025868576,"about_ca_system_score_gemma":0.00008369972,"threshold_uncertainty_score":0.0051088333},"labels":[],"label_agreement":null},{"id":"W4386238531","doi":"10.5376/tgmb.2023.13.0001","title":"Approach of Variation Populations and Phenotype Selection","year":2023,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Genetic Mapping and Diversity in Plants and Animals","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":"Selection (genetic algorithm); Plant breeding; Biology; Inheritance (genetic algorithm); Variation (astronomy); Agriculture; Animal breeding; Evolutionary biology; Biotechnology; Ecology; Agronomy; Genetics; Computer science","score_opus":0.029042203826082816,"score_gpt":0.24339527679757653,"score_spread":0.2143530729714937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386238531","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":[0.008205435,0.00081313186,0.95169306,0.0016976678,0.00023720218,0.00013023404,0.00009158662,0.00012844896,0.037003268],"genre_scores_gemma":[0.29417768,0.0019231618,0.6701174,0.002557202,0.0004310908,0.00097336626,0.00031682532,0.0002546705,0.029248625],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9974111,0.0012677779,0.00006520266,0.00064811256,0.0005231704,0.00008468752],"domain_scores_gemma":[0.9986895,0.0006614592,0.00009297663,0.00027130285,0.00021912834,0.000065599284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029270519,0.00045366935,0.00051903864,0.0011104732,0.0007935317,0.0016449444,0.0014436727,0.0008704346,0.004089365],"category_scores_gemma":[0.005363792,0.00029028728,0.0005566767,0.0007367079,0.0025931231,0.0011788859,0.0022529692,0.0020907947,0.0010398573],"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":[0.000023218932,0.00004526518,0.0015365493,0.0000879515,0.000043854943,0.00011532024,0.00060446886,0.0057061617,0.0033358375,0.8862933,0.0015668288,0.1006414],"study_design_scores_gemma":[0.000068727626,0.0001936762,0.0024637107,0.000104705796,0.000057056208,0.0006266127,0.00037823815,0.034667287,0.0030405263,0.84232724,0.116015576,0.000056654917],"about_ca_topic_score_codex":0.0014484423,"about_ca_topic_score_gemma":0.0014400965,"teacher_disagreement_score":0.004089365,"about_ca_system_score_codex":0.0010984977,"about_ca_system_score_gemma":0.0013100504,"threshold_uncertainty_score":0.015479922},"labels":[],"label_agreement":null},{"id":"W4390475635","doi":"10.5376/tgmb.2024.14.0001","title":"Study on the Geographic Distribution and Conservation Strategies of Genetic Diversity in Apple Germplasm Resources","year":2024,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Forest Insect Ecology and Management","field":"Environmental Science","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; Diversity (politics); Biodiversity; Biology; Geography; Agroforestry; Environmental resource management; Ecology; Political science; Sociology; Population; Botany","score_opus":0.015756662926748124,"score_gpt":0.2180549972050168,"score_spread":0.20229833427826868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390475635","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":[0.6713955,0.28702757,0.010993356,0.0030640687,0.0001673421,0.000070871225,0.00079672824,0.000054302123,0.026430214],"genre_scores_gemma":[0.8741086,0.11536186,0.007293858,0.00060399884,0.00011905039,0.000033626235,0.0006625489,0.00001458051,0.0018018235],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9996227,0.00009119234,0.00003656751,0.00012693906,0.00008172776,0.000040814048],"domain_scores_gemma":[0.99919707,0.0002855724,0.00024034218,0.000035875197,0.00017999511,0.00006109761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010567105,0.00017160902,0.00029336865,0.0012624058,0.00037636168,0.0011412504,0.00036244164,0.00031317392,0.0010418404],"category_scores_gemma":[0.0011000684,0.00007273577,0.00023220347,0.0019629232,0.00042224274,0.0012205552,0.00031392305,0.0003294076,0.00014442694],"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":[0.00011181023,0.000079613026,0.2178044,0.0045436732,0.00044623506,0.0012193392,0.0045840032,0.0017526312,0.033098523,0.01495688,0.0025737798,0.71882904],"study_design_scores_gemma":[0.000016990965,0.00031123796,0.8507371,0.0020622942,0.00065459986,0.002252851,0.006776918,0.0010301789,0.003997181,0.007025934,0.12506312,0.00007160972],"about_ca_topic_score_codex":0.0035130053,"about_ca_topic_score_gemma":0.0081190355,"teacher_disagreement_score":0.0035130053,"about_ca_system_score_codex":0.00038299884,"about_ca_system_score_gemma":0.0010828426,"threshold_uncertainty_score":0.006985128},"labels":[],"label_agreement":null},{"id":"W4394772150","doi":"10.5376/tgmb.2024.14.0002","title":"Tropical Forest Mysteries: Unveiling the Global Consistency of Common Tree Species Patterns","year":2024,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","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; Amazon rainforest; Abundance (ecology); Ecology; Biodiversity; Distribution (mathematics); Tropical forest; Biology","score_opus":0.013221825883231179,"score_gpt":0.23824549512720047,"score_spread":0.2250236692439693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394772150","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":[0.9880604,0.0018466817,0.0032497058,0.00095352164,0.00005096839,0.0000101022215,0.0016168759,0.000044215172,0.004167539],"genre_scores_gemma":[0.9975701,0.0003271686,0.0011672582,0.00013643307,0.000059676677,0.000006789455,0.0005623583,0.00002704882,0.00014318844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921286,0.00017958062,0.000054230903,0.00036665588,0.00007267452,0.00011405959],"domain_scores_gemma":[0.9953974,0.0015917479,0.0014832357,0.0007215731,0.00045357825,0.00035251633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014097865,0.00020584013,0.00055064337,0.0030851832,0.00076486,0.0018702317,0.00057775876,0.00047937807,0.0028265722],"category_scores_gemma":[0.0054956954,0.0002512438,0.0003808685,0.004389449,0.0020326665,0.0033262514,0.0021590423,0.0007518256,0.00030958198],"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":[0.00012375756,0.000015238586,0.9382373,0.00022626927,0.0004222178,0.00022054662,0.006104245,0.00066504686,0.0070217224,0.0026831462,0.0018506425,0.042429946],"study_design_scores_gemma":[0.000003116967,0.000023681234,0.9903347,0.000029679675,0.000045807254,0.00014710234,0.0030215222,0.0010670376,0.00019697276,0.0029360713,0.0021742163,0.000020007625],"about_ca_topic_score_codex":0.007362626,"about_ca_topic_score_gemma":0.015155028,"teacher_disagreement_score":0.007362626,"about_ca_system_score_codex":0.000331934,"about_ca_system_score_gemma":0.00028995733,"threshold_uncertainty_score":0.014639556},"labels":[],"label_agreement":null},{"id":"W4394772222","doi":"10.5376/tgmb.2024.14.0003","title":"Accelerating the Process of Tree Breeding: A Review and Progress of GWAS Applications in Forest Trees","year":2024,"lang":"en","type":"review","venue":"Tree Genetics and Molecular Breeding","topic":"Genetic and phenotypic traits in livestock","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":"Genome-wide association study; Tree breeding; Biology; Trait; Genomics; Tree (set theory); Genetic association; Genetic diversity; Computational biology; Biotechnology; Genome; Computer science; Genetics; Ecology; Single-nucleotide polymorphism; Medicine; Population; Mathematics; Gene; Genotype","score_opus":0.03399361837300921,"score_gpt":0.32676552966886313,"score_spread":0.2927719112958539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394772222","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":[0.00007050438,0.9988207,0.00028003185,0.00034401286,0.00017046339,0.000003875308,0.000015162479,0.0000062969684,0.00028885406],"genre_scores_gemma":[0.00049735414,0.9982541,0.00046771675,0.00033647963,0.0002170847,0.0000067616807,0.000030800024,0.0000028890227,0.00018668559],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99947006,0.00014498386,0.00008810354,0.00012331794,0.00014110641,0.000032504777],"domain_scores_gemma":[0.9975859,0.0017163339,0.00017608106,0.000048825586,0.0003657012,0.00010713112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023530067,0.0009755819,0.0018653709,0.003347029,0.00032791708,0.0011751603,0.0010120634,0.0015699809,0.0028081082],"category_scores_gemma":[0.0026706427,0.00041462947,0.001018369,0.0032167456,0.00065619865,0.001788512,0.0007292528,0.0017560717,0.0011465936],"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":[0.000087409266,0.000051877454,0.0004077232,0.028144525,0.00019761712,0.00019347593,0.000082304075,0.0003783331,0.0012885223,0.003717575,0.016646285,0.9488044],"study_design_scores_gemma":[0.000029287676,0.00017254824,0.0019213244,0.009441524,0.0004887149,0.0011906651,0.000093779396,0.00020503336,0.00063129875,0.0034602615,0.9823088,0.00005662386],"about_ca_topic_score_codex":0.0014284722,"about_ca_topic_score_gemma":0.0021829233,"teacher_disagreement_score":0.003347029,"about_ca_system_score_codex":0.00072613556,"about_ca_system_score_gemma":0.0017358292,"threshold_uncertainty_score":0.012444079},"labels":[],"label_agreement":null},{"id":"W4401496144","doi":"10.5376/tgmb.2024.14.0004","title":"Agronomic Traits of Cassava and Their Genetic Bases: A Focus on Yield and Quality Improvements","year":2024,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Cassava research and cyanide","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); Quality (philosophy); Focus (optics); Biotechnology; Biology; Agronomy","score_opus":0.04432752965958543,"score_gpt":0.2618888761446817,"score_spread":0.21756134648509629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401496144","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":[0.8789222,0.083638616,0.020241722,0.0014577599,0.00011924066,0.000031355554,0.0008263873,0.00016821628,0.014594555],"genre_scores_gemma":[0.934348,0.042326007,0.016969463,0.00020791242,0.00007812697,0.000029641436,0.00084488926,0.000073530944,0.005122451],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99984217,0.000024766168,0.000021491462,0.0000445542,0.0000483981,0.00001863434],"domain_scores_gemma":[0.9998392,0.000035550744,0.00004286337,0.000022065668,0.000043039832,0.000017263357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031650934,0.00029454345,0.00031333312,0.0006338164,0.00021697953,0.0005700671,0.00020740675,0.00019014844,0.0003793945],"category_scores_gemma":[0.00027047246,0.00008482851,0.00026585767,0.001089138,0.00027898475,0.00027882468,0.00030514406,0.00040232143,0.000106433334],"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":[0.0001895802,0.000038608006,0.016221156,0.00044828356,0.00006110041,0.00034708937,0.00024515914,0.0014978703,0.802917,0.0032308213,0.000306071,0.17449728],"study_design_scores_gemma":[0.000044610908,0.00083108305,0.46960613,0.0003798424,0.0004148737,0.0034112153,0.0006416841,0.0070643947,0.39872718,0.006817893,0.11191026,0.00015079274],"about_ca_topic_score_codex":0.002119483,"about_ca_topic_score_gemma":0.0031912692,"teacher_disagreement_score":0.002119483,"about_ca_system_score_codex":0.00049209554,"about_ca_system_score_gemma":0.00037438603,"threshold_uncertainty_score":0.004214287},"labels":[],"label_agreement":null},{"id":"W4401497065","doi":"10.5376/tgmb.2024.14.0005","title":"CRISPR/Cas9 in Poplar Lignin Biosynthesis: Advances and Future Prospects","year":2024,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Biofuel production and bioconversion","field":"Engineering","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":"State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry","keywords":"CRISPR; Lignin; Biosynthesis; Computational biology; Biology; Biotechnology; Botany; Biochemistry; Gene","score_opus":0.005352690432229834,"score_gpt":0.20238441900673962,"score_spread":0.1970317285745098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401497065","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":[0.009381027,0.96644443,0.012956334,0.0038018206,0.0006157314,0.000050059727,0.00022428688,0.00036969982,0.006156595],"genre_scores_gemma":[0.04570237,0.93762404,0.01072825,0.0019523363,0.00040198394,0.000066690955,0.00045927582,0.000046038287,0.0030189666],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995043,0.0000943409,0.0000617793,0.00010131606,0.00015310543,0.00008522381],"domain_scores_gemma":[0.99944025,0.00023358391,0.00008385045,0.000023361075,0.00013592384,0.00008302465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016555373,0.0005984403,0.0008489892,0.00068575825,0.00027099153,0.0013085414,0.0007461193,0.0012850049,0.0022725381],"category_scores_gemma":[0.0009798039,0.00028356686,0.00069287437,0.00076594704,0.0005675104,0.0013607226,0.0006842193,0.0015353243,0.00083636685],"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":[0.0005476893,0.0001493899,0.0014726245,0.010645172,0.00018057399,0.0009095642,0.00024662243,0.0033419493,0.08086145,0.016364837,0.023474857,0.86180526],"study_design_scores_gemma":[0.000121060555,0.000860408,0.0030123135,0.0022250207,0.0004885044,0.002407354,0.0002751666,0.005845933,0.060141552,0.011494837,0.9129778,0.00015010397],"about_ca_topic_score_codex":0.0010410293,"about_ca_topic_score_gemma":0.0014725478,"teacher_disagreement_score":0.0022725381,"about_ca_system_score_codex":0.0005356753,"about_ca_system_score_gemma":0.0011432089,"threshold_uncertainty_score":0.008755386},"labels":[],"label_agreement":null},{"id":"W4410451620","doi":"10.5376/tgmb.2024.14.0018","title":"Frontiers in Loquat Genetic Improvement: Identification and Application of Key Genes","year":2024,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Garlic and Onion 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":"Strong","keywords":"Key (lock); Identification (biology); Gene; Computational biology; Biology; Genetics; Botany; Ecology","score_opus":0.010030652611262462,"score_gpt":0.21342682560880274,"score_spread":0.2033961729975403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410451620","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":[0.32733974,0.4883096,0.15053555,0.011430436,0.00061287696,0.0003676399,0.001113671,0.0009492945,0.019341225],"genre_scores_gemma":[0.5739908,0.2657516,0.1421837,0.0026986161,0.00023630321,0.00023374317,0.0025684217,0.0001869043,0.012149877],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997919,0.000035676356,0.000019455607,0.00007745208,0.000046742178,0.000028779725],"domain_scores_gemma":[0.99985313,0.00004274204,0.00004003497,0.000012570967,0.000029448176,0.000022082437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007894912,0.0009256366,0.00066354335,0.00083846465,0.00027336046,0.00090374297,0.0004569484,0.0006792552,0.0022276985],"category_scores_gemma":[0.00020635164,0.00020605711,0.0005867139,0.0005600549,0.0004938744,0.0011963585,0.0006380028,0.0010093143,0.0004915129],"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":[0.00028536224,0.00011584885,0.002476504,0.0023782218,0.000049851446,0.0003940086,0.00021675514,0.0008197426,0.76843417,0.007484142,0.0008295448,0.21651578],"study_design_scores_gemma":[0.00019814538,0.002522769,0.034246914,0.002213885,0.00075673533,0.003734277,0.0013359638,0.0067872247,0.4571823,0.01730932,0.4735243,0.0001881254],"about_ca_topic_score_codex":0.0007011757,"about_ca_topic_score_gemma":0.0011378407,"teacher_disagreement_score":0.0022276985,"about_ca_system_score_codex":0.00070335314,"about_ca_system_score_gemma":0.0007687265,"threshold_uncertainty_score":0.0074523687},"labels":[],"label_agreement":null},{"id":"W4410451621","doi":"10.5376/tgmb.2024.14.0011","title":"From Leaves to Roots: Mapping the Full Genome of Trees and Decoding Their Functions","year":2024,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Algorithms and Data Compression","field":"Computer Science","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":"Decoding methods; Genome; Biology; Computational biology; Botany; Genetics; Evolutionary biology; Computer science; Gene; Algorithm","score_opus":0.026104592480986816,"score_gpt":0.23196741274098112,"score_spread":0.2058628202599943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410451621","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":[0.15813532,0.010726214,0.8089498,0.002838021,0.00034507172,0.000071430346,0.007498941,0.006169832,0.0052654026],"genre_scores_gemma":[0.25802925,0.0066131735,0.7174703,0.00058292516,0.00018048262,0.00014146761,0.012003074,0.0010856286,0.0038937484],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99963903,0.000086778506,0.000019965473,0.00013790083,0.00008381851,0.000032470794],"domain_scores_gemma":[0.99921715,0.00037561244,0.000068864254,0.0001924609,0.00010935147,0.000036547448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000598632,0.0006885047,0.0006332552,0.0013230313,0.00043943853,0.001303921,0.000675498,0.0008863785,0.0023873432],"category_scores_gemma":[0.0032564278,0.0003723868,0.00047224903,0.002027503,0.00048315868,0.0018608209,0.00097395515,0.0010052612,0.0023036804],"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":[0.000523017,0.00007226334,0.0073708678,0.0005112848,0.000067952555,0.000210292,0.00044022274,0.021615889,0.19244055,0.015297679,0.009612029,0.7518379],"study_design_scores_gemma":[0.00014888922,0.00045291331,0.049133424,0.0006474198,0.00027861353,0.0014593377,0.0016511517,0.3952674,0.14529562,0.26598787,0.1394718,0.00020559393],"about_ca_topic_score_codex":0.0033237247,"about_ca_topic_score_gemma":0.004920042,"teacher_disagreement_score":0.0033237247,"about_ca_system_score_codex":0.00043802077,"about_ca_system_score_gemma":0.00075421017,"threshold_uncertainty_score":0.007986486},"labels":[],"label_agreement":null},{"id":"W4410451624","doi":"10.5376/tgmb.2024.14.0024","title":"Application Potential and Technical Challenges of &lt;i&gt;Agave&lt;/i&gt; in Bioethanol Production","year":2024,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Botanical Research and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Agave; Biofuel; Production (economics); Environmental science; Engineering; Waste management; Economics; Biology; Botany","score_opus":0.023225281153010632,"score_gpt":0.25888378826016256,"score_spread":0.23565850710715192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410451624","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":[0.9335901,0.006638485,0.030348763,0.0012479543,0.0000953118,0.000079435515,0.00040303016,0.00034451106,0.027252395],"genre_scores_gemma":[0.95302194,0.006880826,0.031541172,0.00021128754,0.000023134236,0.00004878759,0.0005615675,0.000070892434,0.007640304],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998068,0.000027522832,0.000009498383,0.000034852794,0.00008252036,0.000038773902],"domain_scores_gemma":[0.9998841,0.000014160422,0.000018261811,0.000012563913,0.000045924113,0.000025003557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037900032,0.00040904325,0.00017800226,0.00042116822,0.000351962,0.0009808999,0.00051717064,0.0005398662,0.0016116197],"category_scores_gemma":[0.00024105805,0.00014986869,0.00035921007,0.00057327887,0.00024314452,0.0008563595,0.00074955105,0.000599483,0.0009320377],"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":[0.000046276782,0.000037076898,0.00057085487,0.00011028708,0.0000047471867,0.00016495516,0.000031169755,0.00052152644,0.975811,0.00053402805,0.000148354,0.022019653],"study_design_scores_gemma":[0.0000044085655,0.00028195,0.003068875,0.00006668755,0.000029751844,0.0004670986,0.00028065662,0.004435042,0.95373136,0.00072452496,0.03689108,0.000018503175],"about_ca_topic_score_codex":0.0015799813,"about_ca_topic_score_gemma":0.0029850292,"teacher_disagreement_score":0.0016116197,"about_ca_system_score_codex":0.00041485502,"about_ca_system_score_gemma":0.0003719713,"threshold_uncertainty_score":0.005391419},"labels":[],"label_agreement":null},{"id":"W4410451772","doi":"10.5376/tgmb.2024.14.0015","title":"The Role of Auxin Signal Transduction in the Differentiation of Fruit Tree Branches","year":2024,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Plant Reproductive Biology","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":"Auxin; Signal transduction; Tree (set theory); Biology; Cell biology; Botany; Transduction (biophysics); Genetics; Gene; Mathematics","score_opus":0.00892072620114682,"score_gpt":0.22385396779215205,"score_spread":0.21493324159100524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410451772","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":[0.5404572,0.3762701,0.035536848,0.0015832355,0.0004936636,0.00014731834,0.0008954494,0.0004248175,0.044191454],"genre_scores_gemma":[0.89485663,0.08826021,0.006340589,0.00035610003,0.00014264433,0.00004007041,0.00048833585,0.000050544495,0.009464878],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984705,0.000026205682,0.0000118622975,0.000040363615,0.00004307183,0.000031363074],"domain_scores_gemma":[0.99989736,0.000018489536,0.000027969774,0.000005856725,0.00002688524,0.000023281396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027811446,0.00030284922,0.00031940907,0.000500702,0.0004114996,0.0008549686,0.00026967938,0.0004704077,0.0010942833],"category_scores_gemma":[0.00013411403,0.00018041155,0.00035258444,0.00031080542,0.00038294666,0.00079847383,0.0003480746,0.0006468811,0.000707982],"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":[0.00013960189,0.000016577147,0.0013839648,0.00038163507,0.000015821464,0.00039141628,0.00008151492,0.00022686912,0.9701293,0.0035826196,0.00027142995,0.02337926],"study_design_scores_gemma":[0.000052468982,0.00064977637,0.09094439,0.00019064969,0.00015437133,0.0022064433,0.0005180711,0.003450163,0.8080058,0.0073183896,0.086412825,0.00009664753],"about_ca_topic_score_codex":0.0006206071,"about_ca_topic_score_gemma":0.0007448544,"teacher_disagreement_score":0.0010942833,"about_ca_system_score_codex":0.0005469108,"about_ca_system_score_gemma":0.0003560321,"threshold_uncertainty_score":0.003968179},"labels":[],"label_agreement":null},{"id":"W4410451777","doi":"10.5376/tgmb.2024.14.0014","title":"Screening and Functional Verification of Poplar Salt Tolerance Genes","year":2024,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Plant Molecular Biology 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":false,"ca_institutions":"","funders":"","keywords":"Salt (chemistry); Gene; Computational biology; Biology; Genetics; Chemistry","score_opus":0.031986963145039723,"score_gpt":0.24078980404566125,"score_spread":0.2088028409006215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410451777","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":[0.92491,0.0025936882,0.05092924,0.0003698461,0.00011008807,0.00038040883,0.014872561,0.0007290085,0.005105232],"genre_scores_gemma":[0.8887848,0.0027859278,0.04864655,0.00030857165,0.000053634445,0.00042356562,0.050241064,0.0003419553,0.008413905],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995757,0.00006660425,0.000056543973,0.000092120164,0.00012983604,0.000079143836],"domain_scores_gemma":[0.99943274,0.00015876202,0.00009126801,0.000081862774,0.00015404556,0.00008135114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063706643,0.00084361405,0.00059671456,0.0008540412,0.00046845624,0.0003846443,0.00038087013,0.00036367084,0.0016199356],"category_scores_gemma":[0.0005572684,0.00020953138,0.00072807714,0.0007905553,0.00032621832,0.00029662406,0.0004376088,0.0007827906,0.001109428],"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":[0.000022964166,0.000015751479,0.00017770524,0.00006183437,0.0000037959685,0.00009240291,0.000028090706,0.00005439074,0.99839944,0.00008125107,0.000031630912,0.0010307055],"study_design_scores_gemma":[0.000019511104,0.00032377837,0.0126995295,0.00002006542,0.00009677613,0.00076971273,0.00015664067,0.0011966503,0.97344494,0.00021307761,0.011037888,0.000021400308],"about_ca_topic_score_codex":0.0008974625,"about_ca_topic_score_gemma":0.0010743308,"teacher_disagreement_score":0.0016199356,"about_ca_system_score_codex":0.0002890465,"about_ca_system_score_gemma":0.00054747664,"threshold_uncertainty_score":0.0054191947},"labels":[],"label_agreement":null},{"id":"W4410451900","doi":"10.5376/tgmb.2024.14.0029","title":"Meta-analysis of Genetic Markers for Yield and Quality Traits in Dragon Fruit","year":2024,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Marine Sponges and Natural Products","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":"Yield (engineering); Quality (philosophy); Biology; Genetics; Biotechnology; Horticulture","score_opus":0.06673682665471557,"score_gpt":0.30866086813530974,"score_spread":0.24192404148059415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410451900","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":[0.93209064,0.02914466,0.03002589,0.00045696308,0.00025607407,0.00013936947,0.0057176007,0.00041213588,0.0017567283],"genre_scores_gemma":[0.98023623,0.0026129184,0.0126199,0.00014931457,0.00005313049,0.00008743688,0.0036519102,0.00008137035,0.0005076874],"study_design_codex":"observational","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99721414,0.0010235904,0.0002330052,0.0010507036,0.00028375923,0.00019483097],"domain_scores_gemma":[0.99637634,0.002436275,0.00030391454,0.0004342556,0.00022163008,0.00022748776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045915246,0.0017266423,0.0023603735,0.006454295,0.0011409764,0.00211368,0.0009929863,0.00089504494,0.0017565892],"category_scores_gemma":[0.004920054,0.0005626713,0.005115981,0.005425896,0.000405685,0.00075955945,0.0013913872,0.001055555,0.00017213688],"study_design_candidate":"meta_analysis","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":[0.0023472877,0.00024384081,0.67876774,0.004367991,0.16800153,0.002666786,0.0013469117,0.01313045,0.055588838,0.0025718608,0.0015135852,0.06945316],"study_design_scores_gemma":[0.00031151425,0.0009038618,0.8121061,0.0010380511,0.1156592,0.0018813141,0.0019430125,0.0393511,0.005858309,0.0060948622,0.014605101,0.00024762456],"about_ca_topic_score_codex":0.0038545944,"about_ca_topic_score_gemma":0.008341882,"teacher_disagreement_score":0.006454295,"about_ca_system_score_codex":0.0006186821,"about_ca_system_score_gemma":0.0010790942,"threshold_uncertainty_score":0.024282575},"labels":[],"label_agreement":null},{"id":"W4410451901","doi":"10.5376/tgmb.2024.14.0021","title":"Molecular Mechanisms of Cambium Formation and Activity Maintenance: A Systematic Review of the Collaborative Regulation of Tree Stem Cells in Growth, Development, and Environmental Adaptation","year":2024,"lang":"en","type":"review","venue":"Tree Genetics and Molecular Breeding","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":"State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry","keywords":"Cambium; Adaptation (eye); Tree (set theory); Biology; Botany; Neuroscience; Xylem; Mathematics","score_opus":0.017400216916180388,"score_gpt":0.21087245213057443,"score_spread":0.19347223521439405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410451901","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":[0.00017324803,0.9992741,0.00012823284,0.00009461385,0.000047036447,0.0000026717535,0.000021380763,0.0000047521216,0.00025411954],"genre_scores_gemma":[0.00092630537,0.9985998,0.00018879597,0.000058432404,0.000038303297,0.000004299101,0.00003695802,0.0000010216734,0.00014610504],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99983454,0.000028501852,0.000037284342,0.000038392373,0.00004485305,0.00001640321],"domain_scores_gemma":[0.99947304,0.00029630662,0.000089206806,0.0000152223965,0.00009176246,0.000034505694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006827497,0.00080321135,0.001477236,0.0026277744,0.00023362895,0.0008483402,0.0007607956,0.00079203746,0.0018687138],"category_scores_gemma":[0.00081069325,0.0002983601,0.0006397686,0.0024899382,0.0004382352,0.0011969843,0.00055020687,0.00089924544,0.0006417019],"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":[0.000115603136,0.000046114055,0.00052020105,0.08400078,0.00035172925,0.0002734687,0.00017595915,0.00055683556,0.008133272,0.004039711,0.011954456,0.8898319],"study_design_scores_gemma":[0.000027514458,0.00019727625,0.004716201,0.014965361,0.0012445643,0.0015137573,0.00018548676,0.00022407497,0.0024561044,0.0029082038,0.9715064,0.00005493126],"about_ca_topic_score_codex":0.0013182216,"about_ca_topic_score_gemma":0.0023849756,"teacher_disagreement_score":0.0026277744,"about_ca_system_score_codex":0.0004931159,"about_ca_system_score_gemma":0.0017214951,"threshold_uncertainty_score":0.006251514},"labels":[],"label_agreement":null},{"id":"W4410451902","doi":"10.5376/tgmb.2024.14.0016","title":"Multi-Scale Regulation Mechanisms of Tree Stem Cells: From Molecular Level to Ecosystems","year":2024,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Plant Surface Properties and Treatments","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":"State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry","keywords":"Ecosystem; Stem cell; Scale (ratio); Tree (set theory); Environmental science; Biology; Ecology; Computational biology; Geography; Cell biology; Mathematics; Cartography","score_opus":0.04161223301880977,"score_gpt":0.2143757862838628,"score_spread":0.17276355326505305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410451902","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":[0.86815584,0.040656514,0.075346135,0.0015517945,0.00012569656,0.0000798005,0.0004943289,0.00055514846,0.013034686],"genre_scores_gemma":[0.988755,0.004949907,0.0045684907,0.00017404118,0.00002662558,0.00003160398,0.000095324955,0.000022836744,0.0013761588],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99982506,0.000024676392,0.0000071877967,0.000057205238,0.000052863626,0.000033022996],"domain_scores_gemma":[0.99985313,0.00002696051,0.000047243942,0.000015851594,0.000028501594,0.00002831096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024058827,0.00019091563,0.0002801012,0.00038717885,0.0003708703,0.00089059275,0.00032703666,0.0003212956,0.00087210245],"category_scores_gemma":[0.00015578377,0.00012905695,0.00022967612,0.00028193218,0.0006149907,0.0008583066,0.00057304144,0.000429223,0.00017231259],"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":[0.000055680815,0.00003622729,0.010451511,0.00023144364,0.000045840945,0.00019968765,0.00039031077,0.001954437,0.9371803,0.008156285,0.00033138183,0.040967025],"study_design_scores_gemma":[0.000030562314,0.00056744425,0.38784948,0.0001974059,0.0002464271,0.0010293581,0.0027015635,0.027859902,0.48821315,0.030462436,0.0606938,0.00014851445],"about_ca_topic_score_codex":0.000624709,"about_ca_topic_score_gemma":0.0011007352,"teacher_disagreement_score":0.00089059275,"about_ca_system_score_codex":0.0004447955,"about_ca_system_score_gemma":0.00033745606,"threshold_uncertainty_score":0.003227234},"labels":[],"label_agreement":null},{"id":"W4410451918","doi":"10.5376/tgmb.2024.14.0009","title":"Genome Editing and Functional Verification of Eucalyptus Disease Resistance Genes","year":2024,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Insect symbiosis and bacterial influences","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":"Gene; Genome; Eucalyptus; Resistance (ecology); Biology; Genetics; Computational biology; Plant disease resistance; Botany; Ecology","score_opus":0.01848859721866142,"score_gpt":0.2072630080305997,"score_spread":0.18877441081193827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410451918","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":[0.93711215,0.0006126411,0.0534139,0.0002479452,0.00008779893,0.00019491866,0.0014115795,0.00039182373,0.0065272455],"genre_scores_gemma":[0.96835136,0.00036136276,0.026186712,0.00008705712,0.000008758354,0.000048945723,0.0014753058,0.000119302036,0.0033611925],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995394,0.00012099132,0.000067259265,0.000091881855,0.00012188096,0.000058665475],"domain_scores_gemma":[0.9994678,0.0001525434,0.00013649563,0.00012655849,0.00006684291,0.000049728897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007517744,0.00025910168,0.00018170859,0.000291387,0.00019650895,0.00036369215,0.00028745006,0.000316653,0.0009400679],"category_scores_gemma":[0.0006178881,0.00012830686,0.0002783933,0.0001718625,0.00023469234,0.00022638818,0.0004595194,0.0006677802,0.00036271193],"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":[0.00007335828,0.000028260645,0.0003313643,0.000044736484,0.0000070112897,0.00012742027,0.00005156027,0.0003811925,0.9936931,0.00060774054,0.000048855407,0.004605459],"study_design_scores_gemma":[0.00001917759,0.00019008027,0.0056455,0.000022591466,0.000026687143,0.0006137833,0.000086932516,0.0046504317,0.97929627,0.00037722566,0.009053628,0.000017565448],"about_ca_topic_score_codex":0.000938648,"about_ca_topic_score_gemma":0.0014059205,"teacher_disagreement_score":0.0009400679,"about_ca_system_score_codex":0.00030110744,"about_ca_system_score_gemma":0.00038225343,"threshold_uncertainty_score":0.0039758086},"labels":[],"label_agreement":null},{"id":"W4410451953","doi":"10.5376/tgmb.2024.14.0007","title":"Tree Stress Resistance Code: Comprehensive Analysis and Future PROSpects of Drought, Salt, and Cold Resistance Genes","year":2024,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Plant Stress Responses and Tolerance","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":"Resistance (ecology); Drought resistance; Gene; Code (set theory); Stress (linguistics); Drought stress; Biology; Botany; Genetics; Agronomy; Computer science; Programming language","score_opus":0.011565567316047024,"score_gpt":0.2205765830161248,"score_spread":0.20901101570007777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410451953","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":[0.67840844,0.2415687,0.052747473,0.0080526415,0.0003834389,0.000096059084,0.007876056,0.00046463616,0.010402563],"genre_scores_gemma":[0.72426564,0.15526934,0.085943416,0.0019439543,0.00092321006,0.00012838838,0.022429908,0.00029337217,0.008802756],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99983144,0.000022940063,0.000017188757,0.0000622518,0.000037436144,0.000028721855],"domain_scores_gemma":[0.99919623,0.00016865978,0.00020649596,0.000051745537,0.0001719325,0.00020490658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007168432,0.00042992734,0.0007691009,0.0017430136,0.00029717517,0.0009949256,0.0004354996,0.00039216122,0.0017474606],"category_scores_gemma":[0.0005486941,0.00014027157,0.0005375471,0.0025027476,0.00030978274,0.0015727242,0.00041855781,0.0007478027,0.00041007317],"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":[0.0011605247,0.00020829674,0.07253696,0.0023758614,0.00034083717,0.0010134138,0.0008591164,0.00270733,0.41625282,0.019446412,0.0040285736,0.4790698],"study_design_scores_gemma":[0.00008202467,0.001054734,0.62680227,0.0012894103,0.001200339,0.0034574755,0.0014718303,0.015919456,0.034923147,0.0552974,0.25825903,0.00024289265],"about_ca_topic_score_codex":0.0012807943,"about_ca_topic_score_gemma":0.0016021996,"teacher_disagreement_score":0.0017474606,"about_ca_system_score_codex":0.00044239324,"about_ca_system_score_gemma":0.0010010855,"threshold_uncertainty_score":0.0058458447},"labels":[],"label_agreement":null},{"id":"W4410451962","doi":"10.5376/tgmb.2024.14.0025","title":"Ecological Factors Influencing Tea Yield: A Comprehensive Review","year":2024,"lang":"en","type":"review","venue":"Tree Genetics and Molecular Breeding","topic":"Tea Polyphenols and Effects","field":"Medicine","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":"Yield (engineering); Ecology; Geography; Agroforestry; Biology","score_opus":0.08657128881532404,"score_gpt":0.35204283150541515,"score_spread":0.2654715426900911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410451962","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":[0.00018176145,0.99913496,0.000063616884,0.00014178727,0.000049930324,0.000004541261,0.00006951291,0.0000051864367,0.0003487895],"genre_scores_gemma":[0.001067735,0.9985176,0.00011693171,0.00008414134,0.000043004755,0.0000047853196,0.000056202447,0.0000012991203,0.00010838514],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99974877,0.000050510218,0.000067936264,0.000055551493,0.00006006766,0.00001716568],"domain_scores_gemma":[0.9990188,0.00064427505,0.00015562502,0.00001836808,0.00012807947,0.000034881064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075039157,0.0008334591,0.0015249831,0.002853473,0.00024796705,0.0011091871,0.0007574051,0.00077920454,0.004594797],"category_scores_gemma":[0.0016933131,0.0002900787,0.0011773137,0.0028169507,0.00024909855,0.0011065844,0.00059896184,0.0007667376,0.000757337],"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":[0.00012684982,0.000063062515,0.00075787434,0.16334581,0.00080403365,0.0002002888,0.00011101939,0.00044952868,0.0014054794,0.0017074076,0.014512307,0.81651634],"study_design_scores_gemma":[0.000035684825,0.0002513948,0.007557642,0.043078784,0.0035301326,0.00171906,0.00018561352,0.00018963053,0.00095691514,0.0019558223,0.94047153,0.00006778924],"about_ca_topic_score_codex":0.001982248,"about_ca_topic_score_gemma":0.0033418443,"teacher_disagreement_score":0.004594797,"about_ca_system_score_codex":0.00046812563,"about_ca_system_score_gemma":0.001871261,"threshold_uncertainty_score":0.015371144},"labels":[],"label_agreement":null},{"id":"W4410452916","doi":"10.5376/tgmb.2024.14.0026","title":"CRISPR/Cas9-Mediated Trait Improvement in Kiwifruit: Current Progress and Future Directions","year":2024,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","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; Trait; Genome editing; Biology; Cas9; Current (fluid); Computational biology; Biotechnology; Genetics; Computer science; Engineering; Gene; Programming language","score_opus":0.00754966324367078,"score_gpt":0.2897549199508866,"score_spread":0.2822052567072158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410452916","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":[0.024393633,0.9373366,0.024993325,0.0043996144,0.000376814,0.000087178436,0.00029735017,0.0004327752,0.0076827137],"genre_scores_gemma":[0.085721955,0.883145,0.024695992,0.0017444502,0.00022652229,0.00010824273,0.0006496335,0.00007016577,0.003638166],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99959296,0.00004973797,0.000048442274,0.00012561867,0.00012152166,0.000061611376],"domain_scores_gemma":[0.999438,0.00025346872,0.00009274741,0.000023969127,0.00013089078,0.000060935436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017807956,0.0006917518,0.00090196653,0.00075639825,0.000379168,0.001516852,0.00081979856,0.001270398,0.0024185001],"category_scores_gemma":[0.0009968394,0.0002657905,0.0008033327,0.0008129207,0.00072325085,0.0015734185,0.00061633857,0.0014547602,0.0006405361],"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":[0.00036647666,0.00017578193,0.0028683955,0.012606445,0.00022048983,0.0006285032,0.00048064286,0.002191978,0.15287118,0.014304551,0.006699892,0.80658567],"study_design_scores_gemma":[0.000101546364,0.0014835418,0.009892675,0.0028924653,0.0010346342,0.0024520392,0.0007631712,0.0067161205,0.10697302,0.0143404035,0.8531172,0.00023309368],"about_ca_topic_score_codex":0.0023378981,"about_ca_topic_score_gemma":0.0033089754,"teacher_disagreement_score":0.0024185001,"about_ca_system_score_codex":0.00076944765,"about_ca_system_score_gemma":0.0016416891,"threshold_uncertainty_score":0.009417832},"labels":[],"label_agreement":null},{"id":"W4413255024","doi":"10.5376/tgmb.2025.15.0002","title":"Genetic Diversity Analysis and Superior Gene Mining of &lt;i&gt;Sapindus mukorossi&lt;/i&gt; Germplasm Resources","year":2025,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Molecular Biology Techniques and Applications","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":"Germplasm; Genetic diversity; Diversity (politics); Biology; Biotechnology; Botany; Sociology; Demography","score_opus":0.0083297415280169,"score_gpt":0.23572411382619698,"score_spread":0.22739437229818008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413255024","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":[0.9959531,0.00019280627,0.0024810045,0.00002445263,0.0000032397486,0.000019168689,0.0006216344,0.000031638443,0.00067295873],"genre_scores_gemma":[0.98786604,0.00018077543,0.007846363,0.00003606968,0.000006883756,0.00003683353,0.0033392103,0.000035419624,0.00065234915],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99979764,0.000021120535,0.00002632331,0.00009682656,0.000029608513,0.000028520839],"domain_scores_gemma":[0.9997857,0.000043331707,0.000053584372,0.000026684082,0.000035030098,0.00005562925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028724762,0.00025068579,0.00042818172,0.0020247214,0.00039928616,0.00030250466,0.00026967062,0.00016272912,0.0008926959],"category_scores_gemma":[0.00029653782,0.00012830405,0.00030223397,0.0012858338,0.00018467449,0.00025064877,0.00049530715,0.0003127267,0.00023717961],"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":[0.00022665484,0.000084268446,0.04987782,0.00016481506,0.0001168132,0.0004048102,0.0009554341,0.00035739882,0.91371596,0.00056664157,0.00013525071,0.033394124],"study_design_scores_gemma":[0.000054217468,0.0003766343,0.91144043,0.000047877784,0.00043550215,0.0017295239,0.00096699694,0.0031065089,0.06858861,0.00080857595,0.012381321,0.000063801665],"about_ca_topic_score_codex":0.0012470507,"about_ca_topic_score_gemma":0.0027588161,"teacher_disagreement_score":0.0020247214,"about_ca_system_score_codex":0.00020004055,"about_ca_system_score_gemma":0.00023309627,"threshold_uncertainty_score":0.0029863715},"labels":[],"label_agreement":null},{"id":"W4413255025","doi":"10.5376/tgmb.2025.15.0006","title":"The Optimization of Fast Propagation Technology for Sapindus Seedlings and Its Resistance Enhancement Study","year":2025,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Seedling growth and survival studies","field":"Environmental Science","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":"Resistance (ecology); Materials science; Horticulture; Biology; Agronomy","score_opus":0.009035939675592358,"score_gpt":0.2356954888293181,"score_spread":0.22665954915372574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413255025","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":[0.90699977,0.004205208,0.08329507,0.00016820911,0.00013211007,0.00023129085,0.00037584285,0.00040919217,0.004183262],"genre_scores_gemma":[0.9015297,0.004488441,0.088373974,0.00005286845,0.000031354364,0.00020412532,0.00091256335,0.00015960916,0.0042472715],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997472,0.000028501428,0.000025305444,0.00005775314,0.000096352174,0.000044982095],"domain_scores_gemma":[0.99979943,0.00003993554,0.000055515433,0.000021843236,0.000055387565,0.00002779076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042301993,0.00065369066,0.00032452648,0.00055270275,0.00034262319,0.00049831497,0.00031003743,0.0002552599,0.00082802627],"category_scores_gemma":[0.00032429825,0.00017093682,0.0003969642,0.0003770792,0.000119900484,0.00046610725,0.00025362967,0.0005210891,0.00040717973],"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":[0.000017112507,0.000022915625,0.00042690182,0.00006120363,0.0000033440738,0.000045457396,0.000022662152,0.00025298932,0.9919185,0.00011490323,0.00004612624,0.0070678527],"study_design_scores_gemma":[0.000015003115,0.00062961323,0.00899274,0.000026334199,0.00007586908,0.00030924266,0.00012350912,0.005469549,0.97584945,0.0001309834,0.00834673,0.000030967665],"about_ca_topic_score_codex":0.0015636642,"about_ca_topic_score_gemma":0.0023990155,"teacher_disagreement_score":0.0015636642,"about_ca_system_score_codex":0.00027200728,"about_ca_system_score_gemma":0.00040512226,"threshold_uncertainty_score":0.003109157},"labels":[],"label_agreement":null},{"id":"W4413255031","doi":"10.5376/tgmb.2025.15.0001","title":"Genetic Basis of Tree Size and Fruit Yield in Durian Roles of Auxin and Cytokinin Signaling Pathways","year":2025,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","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":"Cytokinin; Auxin; Biology; Yield (engineering); Tree (set theory); Botany; Genetics; Gene; Mathematics","score_opus":0.020312121822789894,"score_gpt":0.20899026628373046,"score_spread":0.18867814446094056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413255031","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":[0.99742377,0.0003079121,0.0010946483,0.00003542176,0.0000068497316,0.0000071004165,0.0002908738,0.000016425292,0.00081692805],"genre_scores_gemma":[0.9974003,0.00016325434,0.00079082657,0.00002240595,0.0000027619028,0.000015911153,0.00031197557,0.000022572036,0.0012701034],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997707,0.00003179087,0.00001953911,0.00009856363,0.000049199232,0.00003020527],"domain_scores_gemma":[0.9996728,0.0000977624,0.00010089708,0.00002341284,0.000030898584,0.000074262294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022149789,0.0003448721,0.00030548027,0.00064926525,0.00026020678,0.0002647023,0.0003835429,0.00021509046,0.001782305],"category_scores_gemma":[0.00021621583,0.00017486935,0.00030336302,0.00039657406,0.000254193,0.00014047838,0.00042100443,0.00053150713,0.00012915395],"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":[0.00045856903,0.00004426809,0.012066653,0.00004840575,0.000058140547,0.00052782026,0.00036191897,0.00024130072,0.97886825,0.0007414571,0.00006511388,0.006518174],"study_design_scores_gemma":[0.000085584834,0.00019807715,0.89768994,0.000029057685,0.00021820363,0.0015707134,0.00049366156,0.0040798206,0.087408684,0.0005999836,0.007565736,0.000060633833],"about_ca_topic_score_codex":0.0043460694,"about_ca_topic_score_gemma":0.0068842405,"teacher_disagreement_score":0.0043460694,"about_ca_system_score_codex":0.0005451184,"about_ca_system_score_gemma":0.00023494534,"threshold_uncertainty_score":0.008641541},"labels":[],"label_agreement":null},{"id":"W4413255035","doi":"10.5376/tgmb.2025.15.0008","title":"Key Genes Regulating Fruit Size and Sugar Content in Grapevine","year":2025,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Horticultural and Viticultural 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":false,"ca_institutions":"","funders":"","keywords":"Sugar; Key (lock); Content (measure theory); Gene; Horticulture; Food science; Biology; Botany; Genetics; Mathematics; Ecology","score_opus":0.044213340170567335,"score_gpt":0.2664475398205438,"score_spread":0.22223419964997648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413255035","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":[0.98846173,0.0029693763,0.004093691,0.00006318779,0.000043317068,0.00001505212,0.0011732306,0.00017384674,0.003006541],"genre_scores_gemma":[0.99158114,0.00090576743,0.002530915,0.000047191475,0.00001191834,0.000012373685,0.0012492732,0.000050778235,0.0036106247],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999349,0.0000049487116,0.0000041911467,0.000036454785,0.000010747307,0.000008814496],"domain_scores_gemma":[0.9999447,0.000013395526,0.000011238791,0.0000046399205,0.000012353949,0.0000136743665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000064761385,0.00026165144,0.0001871241,0.00025146332,0.00019102287,0.00027616712,0.00013246319,0.00014297955,0.00095022423],"category_scores_gemma":[0.00008120564,0.00013916632,0.00022155682,0.00014909616,0.00012900625,0.00015759846,0.00016409469,0.00022829021,0.00018386451],"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":[0.000066018125,0.000009248354,0.0042046797,0.000078342935,0.000011624987,0.00021286884,0.00012556938,0.0001565333,0.9899492,0.00027806946,0.00012377373,0.0047840434],"study_design_scores_gemma":[0.00003521251,0.00027197812,0.62686956,0.000045760076,0.00016551539,0.0012192439,0.00050549797,0.0040834476,0.35092148,0.0010364264,0.014792215,0.000053666914],"about_ca_topic_score_codex":0.0017183897,"about_ca_topic_score_gemma":0.0025470816,"teacher_disagreement_score":0.0017183897,"about_ca_system_score_codex":0.00026481212,"about_ca_system_score_gemma":0.00014941153,"threshold_uncertainty_score":0.0034167767},"labels":[],"label_agreement":null},{"id":"W4413255042","doi":"10.5376/tgmb.2025.15.0007","title":"The Study on Molecular Marker-Based Variety Selection and Breeding Applications of Wuyao in Qinchuan County","year":2025,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Ziziphus Jujuba Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Variety (cybernetics); Evolutionary biology; Biology; Computational biology; Computer science; Machine learning; Artificial intelligence","score_opus":0.011454991006063574,"score_gpt":0.23962734978483757,"score_spread":0.228172358778774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413255042","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":[0.99656576,0.00029039444,0.0014848104,0.000114897004,0.00001051162,0.000024970203,0.00013041172,0.000017103488,0.0013611963],"genre_scores_gemma":[0.99655485,0.00020001955,0.0018250265,0.000026591888,0.000005605168,0.000016976548,0.00019204331,0.000006429072,0.0011724026],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970645,0.0000519513,0.00001662295,0.00008901583,0.000056596422,0.000079350866],"domain_scores_gemma":[0.999824,0.00003405621,0.0000344476,0.000013979533,0.000042722375,0.000050949642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007471431,0.0002215298,0.00022687868,0.0013916973,0.0010118406,0.00040091004,0.00036567193,0.00015634732,0.00085425243],"category_scores_gemma":[0.0003792647,0.00013169958,0.0002669137,0.0021369774,0.00025714713,0.0003346456,0.00025088928,0.00020330907,0.00005661648],"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":[0.00018981627,0.00024923243,0.7395217,0.00040684317,0.00017287437,0.0023323267,0.009279213,0.0021382538,0.08572931,0.004227436,0.0013507274,0.15440224],"study_design_scores_gemma":[0.000013389369,0.00016587894,0.98500353,0.000018088695,0.00008514142,0.00028564982,0.0020044888,0.0012165494,0.0020778188,0.00039341408,0.008716899,0.000019173516],"about_ca_topic_score_codex":0.029792374,"about_ca_topic_score_gemma":0.0879705,"teacher_disagreement_score":0.029792374,"about_ca_system_score_codex":0.0008124092,"about_ca_system_score_gemma":0.0018857185,"threshold_uncertainty_score":0.059237897},"labels":[],"label_agreement":null},{"id":"W4413255173","doi":"10.5376/tgmb.2025.15.0010","title":"Genetic Studies of Punica granatum: From Molecular Markers to Trait Improvement","year":2025,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Pomegranate: compositions and health benefits","field":"Nursing","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":"Punica; Trait; Biology; Genetics; Genetic marker; Traditional medicine; Evolutionary biology; Gene; Medicine; Horticulture; Computer science","score_opus":0.01840822108508224,"score_gpt":0.3007352462855725,"score_spread":0.2823270252004903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413255173","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":[0.943903,0.019867728,0.027868828,0.0014264461,0.00018494508,0.00009406319,0.0008771479,0.00029203054,0.00548571],"genre_scores_gemma":[0.94909066,0.009258043,0.036197532,0.0003307474,0.00004689851,0.000048475627,0.00056529226,0.000059082864,0.0044031558],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998317,0.0000348631,0.000009893538,0.00007857607,0.000028582233,0.000016378963],"domain_scores_gemma":[0.99978966,0.000056650868,0.000056939345,0.000023329518,0.000035746703,0.000037655504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006659013,0.00064418605,0.00028897705,0.0010973628,0.00048286904,0.0006633527,0.0005106258,0.0002599313,0.0008137798],"category_scores_gemma":[0.00037485102,0.000140914,0.00029707857,0.0013001299,0.00035758203,0.0004661117,0.00063013984,0.0006363989,0.00013530115],"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":[0.00065319875,0.00022899428,0.042734403,0.0009824723,0.00019723774,0.0017521763,0.0011595446,0.0017656662,0.69511473,0.0031904741,0.00041975503,0.2518014],"study_design_scores_gemma":[0.00021833784,0.0016168739,0.7071608,0.00039089358,0.00075100246,0.0047756797,0.0022241825,0.0041565094,0.120787516,0.00760781,0.15011631,0.0001940652],"about_ca_topic_score_codex":0.0021026945,"about_ca_topic_score_gemma":0.0038473618,"teacher_disagreement_score":0.0021026945,"about_ca_system_score_codex":0.00037335185,"about_ca_system_score_gemma":0.0005843714,"threshold_uncertainty_score":0.0041808486},"labels":[],"label_agreement":null},{"id":"W4413255238","doi":"10.5376/tgmb.2025.15.0009","title":"Recent Advances in Hybrid Breeding of Kiwifruit: Strategies and Outcomes","year":2025,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","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":"Biology","score_opus":0.019504016796712566,"score_gpt":0.2550872353122097,"score_spread":0.23558321851549716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413255238","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":[0.2121307,0.71227413,0.035295792,0.004586733,0.00045654818,0.00013055973,0.0005148773,0.00029696868,0.034313697],"genre_scores_gemma":[0.38573283,0.559047,0.041798286,0.001491162,0.0006430514,0.000098374185,0.0011898006,0.00010156538,0.0098979715],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99961436,0.00006950788,0.000040740095,0.00014953899,0.00008361692,0.00004216734],"domain_scores_gemma":[0.9992834,0.0002592883,0.00012053931,0.000064029184,0.00016408955,0.000108795226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025311077,0.0005499447,0.00046831023,0.0010356224,0.00035418588,0.0011866913,0.00067769847,0.000505644,0.0024522196],"category_scores_gemma":[0.0007957007,0.00017960451,0.00037298637,0.0012805369,0.0006174057,0.0011685041,0.0007138399,0.0008285109,0.0005540607],"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":[0.00036239726,0.0002269461,0.0082683135,0.0036904835,0.00017011294,0.00041158695,0.0006606628,0.0009760723,0.08729782,0.008601881,0.0022697346,0.88706404],"study_design_scores_gemma":[0.0001046802,0.0034890727,0.103091665,0.0016304671,0.0018402453,0.005297008,0.002359069,0.0049964692,0.12963341,0.013057279,0.73422414,0.00027640833],"about_ca_topic_score_codex":0.0013565684,"about_ca_topic_score_gemma":0.0025473044,"teacher_disagreement_score":0.0025311077,"about_ca_system_score_codex":0.00058936496,"about_ca_system_score_gemma":0.000628444,"threshold_uncertainty_score":0.0133859515},"labels":[],"label_agreement":null},{"id":"W4413256796","doi":"10.5376/tgmb.2025.15.0004","title":"Revitalizing Bamboo Shoot Industry in Ninghai Mountainous Areas: Challenges and Strategic Practices","year":2025,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Bamboo properties and applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bamboo; Business; Bamboo shoot; Botany; Ecology; Biology","score_opus":0.06845409877105776,"score_gpt":0.27426831495408,"score_spread":0.20581421618302223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413256796","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":[0.94758016,0.008319549,0.0063291914,0.00632257,0.0000683159,0.0002059272,0.000049095055,0.00003822119,0.031086905],"genre_scores_gemma":[0.9751315,0.006549751,0.009374527,0.0004241744,0.00001970551,0.000054046344,0.00007277233,0.000008050834,0.00836534],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997218,0.000057054247,0.000009553398,0.000042389252,0.00005392754,0.000115224604],"domain_scores_gemma":[0.99969554,0.000049710874,0.00005708164,0.000017212482,0.00004699072,0.00013353872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007231716,0.00045775424,0.000109771216,0.0005060083,0.002391656,0.0020506997,0.0006302137,0.00079707394,0.001188288],"category_scores_gemma":[0.00034867637,0.00013051281,0.00017326999,0.0008796825,0.00072713,0.0013419822,0.0011410003,0.0006136926,0.00014854471],"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":[0.00020269667,0.0005854599,0.1514766,0.0030669237,0.00006965679,0.013178317,0.06918112,0.0047911885,0.1689748,0.033930562,0.006136998,0.5484057],"study_design_scores_gemma":[0.000034224853,0.0009142957,0.39758366,0.0011353474,0.00010898607,0.0028003422,0.21085517,0.005673603,0.019924846,0.006775345,0.3540991,0.00009508182],"about_ca_topic_score_codex":0.018006817,"about_ca_topic_score_gemma":0.05887964,"teacher_disagreement_score":0.018006817,"about_ca_system_score_codex":0.00208374,"about_ca_system_score_gemma":0.0062217317,"threshold_uncertainty_score":0.035803974},"labels":[],"label_agreement":null},{"id":"W4413256808","doi":"10.5376/tgmb.2025.15.0005","title":"High-Density Tea Planting: A Case Study in Commercial Tea Gardens","year":2025,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Plant and animal 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":"Sowing; Green tea; Tea garden; Camellia sinensis; Horticulture; Biology; Food science","score_opus":0.03747561896274977,"score_gpt":0.2355399701542197,"score_spread":0.19806435119146992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413256808","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":[0.9985234,0.000057221765,0.00031691356,0.00010785722,0.0000034130526,0.000012836016,0.00003064903,0.000004629174,0.0009429602],"genre_scores_gemma":[0.9982685,0.00014837162,0.0006281141,0.000030347075,0.000005946893,0.000006965643,0.000025691837,0.0000048849092,0.00088116905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962974,0.00011655843,0.000015318372,0.00005369412,0.000057262718,0.00012734323],"domain_scores_gemma":[0.99891865,0.00034718623,0.00017144336,0.0000682233,0.00005510063,0.00043931292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039716312,0.00026661,0.00022078691,0.0004649251,0.003379345,0.0008382258,0.00073854154,0.0010878661,0.0020170098],"category_scores_gemma":[0.00095148984,0.00022105253,0.00035989805,0.0009320519,0.00081724644,0.00052843883,0.0010158351,0.0006575205,0.00020294555],"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":[0.0005176624,0.0024103941,0.5439497,0.00037326862,0.000092684204,0.32879186,0.0662653,0.0038193099,0.011219551,0.003927496,0.0019778383,0.0366548],"study_design_scores_gemma":[0.00007934228,0.0016280826,0.49282518,0.00018350383,0.00010715852,0.18826024,0.27406278,0.00923582,0.0062973807,0.0024287933,0.024758115,0.00013359783],"about_ca_topic_score_codex":0.014026096,"about_ca_topic_score_gemma":0.054141987,"teacher_disagreement_score":0.014026096,"about_ca_system_score_codex":0.0010767351,"about_ca_system_score_gemma":0.00078760664,"threshold_uncertainty_score":0.027888954},"labels":[],"label_agreement":null},{"id":"W4413256812","doi":"10.5376/tgmb.2025.15.0003","title":"Harnessing Genetic Diversity for Kiwifruit Breeding: Opportunities and Challenges","year":2025,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","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":"Genetic diversity; Diversity (politics); Biology; Evolutionary biology; Geography; Biotechnology; Data science; Computer science; Sociology; Anthropology; Demography","score_opus":0.11895315676909356,"score_gpt":0.246729002693506,"score_spread":0.12777584592441243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413256812","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":[0.5603037,0.13092037,0.2336759,0.03077507,0.0011075285,0.00038593385,0.0005852177,0.0006087426,0.041637626],"genre_scores_gemma":[0.7552203,0.09317382,0.13313861,0.0032036246,0.00048478326,0.00027968848,0.00086911634,0.00021405934,0.013415902],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994386,0.00015200207,0.000036104724,0.00012650386,0.00014498289,0.000101782374],"domain_scores_gemma":[0.9993017,0.00027976965,0.0000860098,0.000092101494,0.000105606676,0.00013481572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020824466,0.0004648587,0.0007118434,0.00083508,0.0010785717,0.001847389,0.00094930665,0.0008943924,0.0026405638],"category_scores_gemma":[0.001013,0.00021367965,0.0004998932,0.0008582008,0.001023765,0.0024183574,0.0021088677,0.0019588533,0.00057932123],"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":[0.00020983952,0.00023998205,0.012722581,0.0018833706,0.00019040333,0.002346084,0.0023561022,0.0018665304,0.3272802,0.045963477,0.003656755,0.60128474],"study_design_scores_gemma":[0.00011133242,0.001984628,0.041705903,0.0024194336,0.0005474766,0.008960232,0.011206172,0.01032171,0.09872476,0.12859301,0.6950919,0.0003335063],"about_ca_topic_score_codex":0.0012098518,"about_ca_topic_score_gemma":0.004498711,"teacher_disagreement_score":0.0026405638,"about_ca_system_score_codex":0.00063834916,"about_ca_system_score_gemma":0.0014157669,"threshold_uncertainty_score":0.01101321},"labels":[],"label_agreement":null},{"id":"W4414029922","doi":"10.5376/tgmb.2025.15.0016","title":"Yield Response and Cultivation Improvement of Woody Blueberries under Soil pH Regulation","year":2025,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Berry genetics and cultivation 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":false,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Woody plant; Agronomy; Environmental science; Horticulture; Biology; Botany; Materials science","score_opus":0.023574532108989788,"score_gpt":0.2520586900155069,"score_spread":0.2284841579065171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414029922","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":[0.9974826,0.00040218615,0.0013311554,0.0000530051,0.000011317847,0.0000072051635,0.00007104429,0.000036049838,0.0006055087],"genre_scores_gemma":[0.9959919,0.00035229404,0.0015956617,0.00008634498,0.000009396226,0.000014717184,0.00027146147,0.00002714976,0.0016510807],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989986,0.000013371251,0.0000066766256,0.000040966977,0.000016959391,0.000022230706],"domain_scores_gemma":[0.9999002,0.000015157138,0.00002247981,0.000009095432,0.000023067001,0.000029807363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014856298,0.00027629483,0.00027955562,0.00015834831,0.00018101135,0.00026601995,0.00013965339,0.00014869761,0.00067865505],"category_scores_gemma":[0.00016448727,0.00008588158,0.00022981108,0.0001489407,0.00009364788,0.00035700094,0.00027255085,0.00030165567,0.00013091478],"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":[0.00006229406,0.00001868362,0.0013363359,0.000039433147,0.000004582702,0.000063420215,0.00006532359,0.000054753724,0.99585044,0.000023536753,0.000024885789,0.0024561333],"study_design_scores_gemma":[0.00002300444,0.0010693448,0.26322365,0.000015084898,0.000076305274,0.0004661708,0.00066708354,0.003178624,0.72518575,0.00015252142,0.0059161256,0.000026324666],"about_ca_topic_score_codex":0.0009920945,"about_ca_topic_score_gemma":0.001500407,"teacher_disagreement_score":0.0009920945,"about_ca_system_score_codex":0.00024601017,"about_ca_system_score_gemma":0.00012144678,"threshold_uncertainty_score":0.002270341},"labels":[],"label_agreement":null},{"id":"W4414029924","doi":"10.5376/tgmb.2025.15.0014","title":"Functional Genomics of Root Development in &lt;i&gt;Populus&lt;/i&gt; and Its Ecological Implications","year":2025,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","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":"Biology; Functional genomics; Genomics; Root (linguistics); Computational biology; Genetics; Gene; Genome; Philosophy; Linguistics","score_opus":0.02113588364200086,"score_gpt":0.21598543499977635,"score_spread":0.19484955135777549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414029924","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":[0.97946906,0.0021097767,0.014285199,0.00014035717,0.000013699764,0.000015705209,0.0014118981,0.0002229434,0.0023314112],"genre_scores_gemma":[0.9900718,0.00082937296,0.0050278855,0.00008245146,0.000011562195,0.00001677528,0.0014558225,0.000088287845,0.0024159988],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999125,0.000009331711,0.0000036483543,0.00004290819,0.000014343333,0.0000172252],"domain_scores_gemma":[0.99991906,0.000016341231,0.000027929997,0.000006334168,0.000011794744,0.000018577322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012916973,0.00038667777,0.00020680664,0.0004410357,0.0002278753,0.00025554674,0.00022490625,0.00018309454,0.0005288548],"category_scores_gemma":[0.0000703435,0.000106787316,0.00025533608,0.00029051266,0.0002507188,0.0002503149,0.00024449328,0.00030279957,0.00016394298],"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":[0.000045042645,0.0000041151366,0.000774798,0.000035773002,0.0000051985435,0.000086641485,0.000041690422,0.0001206303,0.99523675,0.0003799656,0.00002556237,0.0032437558],"study_design_scores_gemma":[0.000024440502,0.00028493174,0.3933735,0.000032246513,0.00016365795,0.0017900231,0.00046151082,0.0048062475,0.58184177,0.0019472162,0.015206094,0.000068389614],"about_ca_topic_score_codex":0.002136277,"about_ca_topic_score_gemma":0.0019117849,"teacher_disagreement_score":0.002136277,"about_ca_system_score_codex":0.00026562533,"about_ca_system_score_gemma":0.0002318128,"threshold_uncertainty_score":0.004247725},"labels":[],"label_agreement":null},{"id":"W4414029933","doi":"10.5376/tgmb.2025.15.0015","title":"Epigenetic Variation and Oil Accumulation in &lt;i&gt;Camellia oleifera&lt;/i&gt;: A Case from High- and Low-Altitude Regions","year":2025,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Lipid metabolism and biosynthesis","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":"Camellia oleifera; Altitude (triangle); Effects of high altitude on humans; Epigenetics; Low altitude; Biology; Botany; Environmental science; Geography; Mathematics; Meteorology; Genetics; Gene","score_opus":0.01108628016360978,"score_gpt":0.24211620020363636,"score_spread":0.2310299200400266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414029933","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":[0.9988765,0.00021977868,0.0003020718,0.00002981967,0.0000029975477,0.000004681601,0.00015647922,0.0000045059455,0.00040324338],"genre_scores_gemma":[0.9992955,0.00010236663,0.00014257757,0.000030079034,0.0000072714593,0.000003126202,0.00015906511,0.0000027521442,0.00025733028],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988484,0.000016279668,0.000010268574,0.000050655548,0.00001626522,0.000021741951],"domain_scores_gemma":[0.9998442,0.000024356805,0.000059826863,0.000021181142,0.000020805108,0.00002954358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019884839,0.00014192196,0.0002054513,0.0010133369,0.0003850506,0.00029916593,0.000156222,0.00022279775,0.0007964244],"category_scores_gemma":[0.00024059927,0.000079886944,0.0003384878,0.0006531258,0.00028163102,0.00016942417,0.00025927118,0.00014560146,0.00009594282],"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":[0.0009727265,0.000080198144,0.5862031,0.000111770605,0.00019130588,0.008985408,0.0031172847,0.000114615126,0.38001725,0.00045161648,0.00019741547,0.019557206],"study_design_scores_gemma":[0.000007966187,0.00012426487,0.9863331,0.0000058389683,0.000087909924,0.003594916,0.0006923374,0.00014621134,0.0076173935,0.00014386824,0.0012325988,0.000013605819],"about_ca_topic_score_codex":0.0037555725,"about_ca_topic_score_gemma":0.0042901346,"teacher_disagreement_score":0.0037555725,"about_ca_system_score_codex":0.00032256442,"about_ca_system_score_gemma":0.00008629911,"threshold_uncertainty_score":0.0074674487},"labels":[],"label_agreement":null},{"id":"W4414029988","doi":"10.5376/tgmb.2025.15.0019","title":"Comparative Study on Yield and Ecological Benefits of Different Intercropping Models in Chestnut Economic Forests","year":2025,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Agroforestry and silvopastoral 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; Yield (engineering); Agroforestry; Ecology; Environmental science; Biology","score_opus":0.061895365150247704,"score_gpt":0.2617622610498211,"score_spread":0.19986689589957338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414029988","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":[0.9981674,0.000081122715,0.0007245098,0.000011780743,0.0000027040596,0.000009822943,0.000045513967,0.000010281042,0.0009468432],"genre_scores_gemma":[0.99883264,0.000060399205,0.00064059783,0.0000045204415,0.0000013202543,0.000008603377,0.000094617535,0.000005738835,0.00035148356],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971074,0.00011705112,0.000010165267,0.00005704175,0.00003954782,0.0000654857],"domain_scores_gemma":[0.99923,0.00034919268,0.000059322563,0.00007201556,0.00009663813,0.00019279477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000921298,0.00036361313,0.0002846843,0.000837129,0.00043349035,0.000555183,0.00047507207,0.00018362308,0.0017898575],"category_scores_gemma":[0.0011931844,0.00007899441,0.00041546606,0.00073003425,0.00025634837,0.0005203778,0.0004483293,0.00021330672,0.00011152231],"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":[0.005529439,0.002821558,0.5361592,0.0003992681,0.00076824904,0.0018231444,0.0016521913,0.21046229,0.058375098,0.0077265953,0.0012590443,0.17302385],"study_design_scores_gemma":[0.000104543855,0.0045433333,0.71434015,0.00007394269,0.0005525825,0.0005734915,0.003228751,0.2622936,0.007232669,0.0034424425,0.0035322488,0.00008222748],"about_ca_topic_score_codex":0.01264105,"about_ca_topic_score_gemma":0.02734505,"teacher_disagreement_score":0.01264105,"about_ca_system_score_codex":0.0013472185,"about_ca_system_score_gemma":0.00046378822,"threshold_uncertainty_score":0.025134921},"labels":[],"label_agreement":null},{"id":"W4415721448","doi":"10.5376/tgmb.2025.15.0021","title":"Progress in Breeding of &lt;i&gt;Vitis vinifera&lt;/i&gt; for Fruit Quality Improvement","year":2025,"lang":"","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Horticultural and Viticultural 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":false,"ca_institutions":"","funders":"","keywords":"Quality management; Quality (philosophy); Selection (genetic algorithm); Genomic selection; Plant breeding; Performance improvement","score_opus":0.03752837531820155,"score_gpt":0.31622359459535876,"score_spread":0.27869521927715724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415721448","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":[0.7652547,0.030342748,0.15987696,0.0016062758,0.00054983713,0.0003942344,0.0038285998,0.002130502,0.036016162],"genre_scores_gemma":[0.8202007,0.023007212,0.12694877,0.00080727774,0.00021075856,0.0001654883,0.009992369,0.00081277406,0.01785455],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996612,0.000056054192,0.000030479332,0.00014181365,0.000073849274,0.00003649398],"domain_scores_gemma":[0.9996847,0.00006225678,0.000059691436,0.00004333675,0.000069020636,0.00008102064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015209719,0.0005426337,0.0005655834,0.0007751435,0.00038850197,0.00093719544,0.00053037656,0.00027025593,0.002883877],"category_scores_gemma":[0.00037851842,0.00020876342,0.00059339614,0.00065147,0.00023684246,0.0004957944,0.0004443844,0.0008461052,0.0009548577],"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":[0.00018255568,0.00013854913,0.009601797,0.000571461,0.00009709644,0.00021173133,0.0003365073,0.0008563098,0.74760485,0.0026606277,0.0014344049,0.23630416],"study_design_scores_gemma":[0.00019226599,0.0027835048,0.23231725,0.0005425173,0.0015355037,0.0033728352,0.0007748497,0.013942687,0.28578478,0.0032390074,0.45532894,0.00018582829],"about_ca_topic_score_codex":0.0020301098,"about_ca_topic_score_gemma":0.002850304,"teacher_disagreement_score":0.002883877,"about_ca_system_score_codex":0.0005102407,"about_ca_system_score_gemma":0.0004587806,"threshold_uncertainty_score":0.009647548},"labels":[],"label_agreement":null},{"id":"W4415721452","doi":"10.5376/tgmb.2025.15.0023","title":"Metabolomic and Genomic Analysis of Theobromine Biosynthesis in &lt;i&gt;Theobroma cacao&lt;/i&gt;","year":2025,"lang":"","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Cocoa and Sweet Potato Agronomy","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":"Theobromine; Metabolomics; Theobroma; Purine; Purine metabolism; Functional genomics; Biosynthesis; Fermentation","score_opus":0.009441084161194052,"score_gpt":0.21272662511292423,"score_spread":0.20328554095173018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415721452","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":[0.9930086,0.00088686944,0.001909625,0.00007124812,0.000013696048,0.000034817538,0.0032943857,0.000078915495,0.0007017287],"genre_scores_gemma":[0.9812181,0.0007827828,0.0073118303,0.000100215206,0.000017204931,0.00005691497,0.0082102325,0.00007301242,0.0022296377],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998976,0.000006210289,0.000005601184,0.00005048744,0.00002085491,0.000019178484],"domain_scores_gemma":[0.99986637,0.0000137193,0.000041529293,0.000010200268,0.000032007665,0.000036127756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012733763,0.00053639605,0.00045891813,0.0010683048,0.0002847269,0.00044103153,0.00016169513,0.00025514068,0.00053769187],"category_scores_gemma":[0.00014557647,0.00016967847,0.00054271414,0.000989221,0.0001894096,0.00024683413,0.00023701956,0.00028069015,0.00016920427],"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":[0.00018512124,0.000015523665,0.0026878314,0.00008054805,0.000018845181,0.00011136629,0.00006259505,0.00006180977,0.99413705,0.00003125417,0.000023223249,0.0025849014],"study_design_scores_gemma":[0.000035846362,0.000546122,0.5835389,0.000044856824,0.000413295,0.0012830277,0.0006863035,0.003503227,0.4027913,0.00024273814,0.006839875,0.00007454703],"about_ca_topic_score_codex":0.0074552675,"about_ca_topic_score_gemma":0.0074853725,"teacher_disagreement_score":0.0074552675,"about_ca_system_score_codex":0.00046208416,"about_ca_system_score_gemma":0.00039467137,"threshold_uncertainty_score":0.014823735},"labels":[],"label_agreement":null},{"id":"W4415721453","doi":"10.5376/tgmb.2025.15.0024","title":"Prospects for Synthetic Biology and Sustainable Utilization of &lt;i&gt;Torreya grandis&lt;/i&gt;","year":2025,"lang":"","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Wood and Agarwood Research","field":"Chemistry","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":"Synthetic biology; Sustainable development; Transcriptome; Component (thermodynamics); Key (lock); Metabolic engineering","score_opus":0.01556217584824693,"score_gpt":0.28331389739050694,"score_spread":0.26775172154226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415721453","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":[0.70686245,0.14724545,0.07388591,0.010105333,0.0005961629,0.0001571953,0.0030679686,0.001110012,0.05696955],"genre_scores_gemma":[0.873842,0.05392179,0.051592864,0.0011228182,0.00010679347,0.00009148565,0.0023947286,0.00016684826,0.016760675],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9999292,0.000009214664,0.0000039355773,0.00002310113,0.000019180572,0.000015398698],"domain_scores_gemma":[0.999944,0.0000059249314,0.000011496858,0.000006161717,0.000016620334,0.000015927744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002277161,0.0005499515,0.00037427002,0.0005404392,0.00040250173,0.0007150699,0.0003392662,0.00038717114,0.0016923186],"category_scores_gemma":[0.00006902665,0.00015182862,0.00040607536,0.00041873837,0.0003843058,0.0009155644,0.00040066094,0.000701538,0.00052560965],"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":[0.00008875657,0.00005512461,0.0019387502,0.00077425083,0.000031137948,0.00038474394,0.00012465376,0.000694668,0.92450285,0.0059072743,0.001250093,0.0642477],"study_design_scores_gemma":[0.00003682773,0.0008683192,0.041172434,0.00031799678,0.0003573817,0.0017316323,0.0014479441,0.0046019824,0.49986747,0.014978595,0.43448833,0.00013116667],"about_ca_topic_score_codex":0.0027459555,"about_ca_topic_score_gemma":0.005873056,"teacher_disagreement_score":0.0027459555,"about_ca_system_score_codex":0.00072700006,"about_ca_system_score_gemma":0.00081841345,"threshold_uncertainty_score":0.0056613684},"labels":[],"label_agreement":null},{"id":"W4415721457","doi":"10.5376/tgmb.2025.15.0022","title":"Metabolomic Profiling of Aroma Compounds in &lt;i&gt;Eriobotrya japonica&lt;/i&gt;","year":2025,"lang":"","type":"article","venue":"Tree Genetics and Molecular Breeding","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":"Aroma; Flavor; Metabolomics; Component (thermodynamics)","score_opus":0.018428780058913855,"score_gpt":0.2384465582728122,"score_spread":0.22001777821389834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415721457","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":[0.99565977,0.0005645631,0.0017624117,0.00005261915,0.00001145813,0.000025297391,0.0013531462,0.000050276434,0.00052039686],"genre_scores_gemma":[0.98956966,0.00032811397,0.002875884,0.00017343633,0.0000081611,0.00005283888,0.0033500672,0.00004927709,0.0035924972],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99994695,0.000005748235,0.000003093423,0.000021913314,0.000008980984,0.000013326051],"domain_scores_gemma":[0.9999348,0.0000073326332,0.00001596163,0.0000055534465,0.000017158822,0.00001918119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009619383,0.00033360493,0.0003124972,0.00037239588,0.00022112609,0.00024765258,0.00012180945,0.00019011037,0.00074453047],"category_scores_gemma":[0.00006723526,0.00014499394,0.00029777613,0.00026207586,0.00013443142,0.00027346474,0.00019880706,0.00034541913,0.00018483427],"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":[0.00007114768,0.0000085680695,0.00035408197,0.00001834309,0.0000042812558,0.000013705544,0.000012455725,0.000010485842,0.9990325,0.0000096009635,0.0000068498284,0.00045802825],"study_design_scores_gemma":[0.00004282541,0.00094050274,0.35222507,0.000020110725,0.00014293268,0.00040614494,0.00034366516,0.0024633433,0.64008504,0.00013589668,0.0031352951,0.00005917989],"about_ca_topic_score_codex":0.0020642036,"about_ca_topic_score_gemma":0.0025254474,"teacher_disagreement_score":0.0020642036,"about_ca_system_score_codex":0.00017870136,"about_ca_system_score_gemma":0.00014885297,"threshold_uncertainty_score":0.0041044354},"labels":[],"label_agreement":null},{"id":"W4415721461","doi":"10.5376/tgmb.2025.15.0025","title":"Breeding Advances of &lt;i&gt;Metasequoia glyptostroboides&lt;/i&gt; for Stress Tolerance and Ecological Restoration","year":2025,"lang":"","type":"article","venue":"Tree Genetics and Molecular Breeding","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":"Restoration ecology; Germplasm; Resistance (ecology); Fight-or-flight response; Drought resistance; Cold tolerance","score_opus":0.013883386838499292,"score_gpt":0.2382706245630397,"score_spread":0.22438723772454042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415721461","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":[0.93511176,0.007375435,0.046413146,0.00095967203,0.00018592499,0.00019581955,0.0011059158,0.00056834985,0.008083939],"genre_scores_gemma":[0.9304179,0.0045413016,0.055902928,0.00035805756,0.000044063385,0.00010823297,0.0018040789,0.00013872758,0.006684722],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983025,0.000022627632,0.00002475121,0.000050108036,0.000041178377,0.000031037336],"domain_scores_gemma":[0.9998425,0.000016655253,0.00003816299,0.000021283608,0.000030048608,0.000051383315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004575466,0.00072612934,0.00043547986,0.00059730775,0.00036599595,0.00039255357,0.0003663649,0.00037031315,0.0011166369],"category_scores_gemma":[0.00019250868,0.0002040916,0.000594799,0.0004804545,0.00018131606,0.0005592907,0.00053070526,0.0006664469,0.0005119018],"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":[0.000046640856,0.000019090434,0.0009269475,0.00010417375,0.000011412385,0.000091061826,0.00004988239,0.000112077185,0.9868939,0.00018188558,0.00006745117,0.01149554],"study_design_scores_gemma":[0.00006943707,0.0016226574,0.07902063,0.00018461309,0.0004839858,0.002473179,0.00080708804,0.00639655,0.81484073,0.0013222643,0.092668645,0.000110144625],"about_ca_topic_score_codex":0.0014044478,"about_ca_topic_score_gemma":0.002769277,"teacher_disagreement_score":0.0014044478,"about_ca_system_score_codex":0.00039036173,"about_ca_system_score_gemma":0.0005041382,"threshold_uncertainty_score":0.0037354827},"labels":[],"label_agreement":null}]}